Publications

Autonomous and Cyber-Physical Systems

The ACPS group focuses on foundational and applied research to solve cutting-edge problems in the research areas of Artificial Intelligence, Data Science, Internet of Things (IoT), Cyber-Physical systems, Autonomous systems, Robotics and Automation involving advanced sensor systems, Computer vision, Thermal imaging, LiDAR imaging, Radar imaging, wireless sensor networks, smart electronic systems, advanced machine learning techniques, connected autonomous systems including drones/unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), unmanned underwater systems (UUSs), 5G- (and beyond) enabled autonomous vehicles, and Socio-Technical Systems like urban transportation systems, Smart Agriculture and Smart Cities. The group is also quite active in medical imaging.

Journal Publications:

  1. Bhabani Sankar Gouda, Trilochan Panigrahi, Sudhakar Das, Meenakshi Panda, Linga Reddy Reddy Cenkeramaddi, “Distributed Fault Detection in Sparse Wireless Sensor Networks utilizing Simultaneous Likelihood Ratio Statistics,” Pervasive and Mobile Computing, 2025.
  2. Akarsh K Nair, Sinem Coleri, Jayakrushna Sahoo, Linga Reddy Cenkeramaddi, Ebin Deni Raj, “Incentivized Federated Learning: A Survey,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.
  3. Aveen Dayal, Shrusti S., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, “Leveraging Mixture Alignment for Multi-Source Domain Adaptation,” IEEE Transactions on Image Processing (T-IP), 2025.
  4. K Naveen Kumar, C Krishna Mohan, Linga Reddy Cenkeramaddi, “Federated Learning Minimal Model Replacement Attack Using Optimal Transport: An Attacker Perspective,” IEEE Transactions on Information Forensics & Security, 2024.
  5. Venkatesha K, Upasna Singh, Vengadarajan A, Bethi Pardhasaradhi, and Linga Reddy Cenkeramaddi, “Multivariate Fuzzy Density-Based TemporoSpatial Clustering of Applications with Noise (MF-DBTSCAN) algorithm for detection and tracking of multiple targets by 77-GHz millimeter wave radar sensor,” IEEE Sensors Journal (2024).
  6. Naveen Kumar K, Krishna Mohan C, Linga Reddy Cenkeramaddi, Navchetan Awasthi, “Minimal Data Poisoning Attack in Federated Learning for Medical Image Classification: An Attacker Perspective,” Artificial Intelligence In Medicine Journal.
  7. V. K. Puduru, R. R. Yakkati, B. Pardhasaradhi, K. S. Babu and L. R. Cenkeramaddi, “Real-Time Detection of Spot Jamming Attacks in mmWave Radar Systems Using a Lightweight CNN,” in IEEE Sensors Letters, doi: 10.1109/LSENS.2024.3480815.
  8. R. C. K. Ellore, R. R. Yakkati, S. R. Yeduri, S. Boppu and L. R. Cenkeramaddi, “GSM-based Mobile Handset Identification Using RF Fingerprints and Deep Learning on the Edge Computing Devices,” in IEEE Sensors Journal, doi: 10.1109/JSEN.2024.3464742.
  9. B. B. Mohammad, V. Sateeshkrishna Dhuli, M. K. Enduri and L. R. Cenkeramaddi, “Isolating Coefficient Based Framework To Recognize Influential Nodes In Complex Networks,” in IEEE Access, doi: 10.1109/ACCESS.2024.3507384. 
  10. Simen Birkeland, Lin Julie Fjeldvik, Nadia Noori, Sreenivasa Reddy Yeduri & Linga Reddy Cenkeramaddi, “Thermal video-based hand gestures recognition using lightweight CNN.,” J Ambient Intell Human Comput (2024). https://doi.org/10.1007/s12652-024-04851-6
  11. D. Pudi et al., “Application Level Synthesis: Creating Matrix-Matrix Multiplication Library, A Case Study,” in IEEE Access, doi: 10.1109/ACCESS.2024.3484175.
  12. S. R. Yeduri, N. Sharma, O. J. Pandey and L. R. Cenkeramaddi, “Throughput Maximization in Delay-Critical and Energy-Aware SW-UAV-WNs Using Q-Learning,” in IEEE Open Journal of the Communications Society, doi: 10.1109/OJCOMS.2024.3496740. 
  13. Y. Sivanjaneyulu, M. Sabarimalai Manikandan, S. Boppu and L. R. Cenkeramaddi, “Resource-Efficient Derivative PPG-based Signal Quality Assessment Using One-Dimensional CNN with Optimal Hyperparameters for Quality-Aware PPG Analysis,” in IEEE Access, doi: 10.1109/ACCESS.2024.3464231.
  14. M. Durga Prasad Varma, S. R. Yeduri, R. R. Yakkati, A. B. Boddu and L. R. Cenkeramaddi, “Wireless Technology Identification Using Continuous Wavelet Transform and Deep Learning,” in IEEE Sensors Journal, doi: 10.1109/JSEN.2024.3467681. 
  15. G Achala; S Nandana; Frankson Jomy; M M Girish; U Shripathi Acharya; Pathipati Srihari; Linga Reddy Cenkeramaddi, “FPGA implementation of SSRS codes for NAND flash memory device,” in IEEE Access, doi: 10.1109/ACCESS.2024.3464235.
  16. D. Sarkar, Yogita, S. S. Yadav, L. R. Cenkeramaddi and O. J. Pandey, “TDRA: Transformer Based Deep Recurrent Architecture for Automatic Modulation Classification (AMC) Pertinent to Intelligent Reflecting Surface Assisted Internet of Things (IoT) Networks,” in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3455434.
  17. K. Lata, P. Singh, S. Saini and L. R. Cenkeramaddi, “Deep Learning-Based Brain Tumor Detection in Privacy-Preserving Smart Health Care Systems,” in IEEE Access, doi: 10.1109/ACCESS.2024.3456599. 
  18. M. A. Chakravarthi et al., “Communication-aided Target State Estimation in a Cooperative Radar-Communication System,” in IEEE Transactions on Radar Systems, doi: 10.1109/TRS.2024.3452869.
  19. R. Kothai, N. Prabakaran, Y. V. Srinivasa Murthy, L. R. Cenkeramaddi and V. Kakani, “Pavement Distress Detection, Classification and Analysis using Machine Learning Algorithms: A Survey,” in IEEE Access, doi: 10.1109/ACCESS.2024.3455093. 
  20. S. R. Yeduri, S. Jeeru, O. J. Pandey and L. R. Cenkeramaddi, “Energy-Efficient and Latency-Aware Data Routing in Small-World Internet of Drone Networks,” in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2024.3452414.
  21. D. Pudi, S. Malviya, S. Boppu, Y. Yang, A. Hemani and L. R. Cenkeramaddi, “Integer Linear Programming based Simultaneous Scheduling and Binding for SiLago Framework,” in IEEE Access, doi: 10.1109/ACCESS.2024.3453503.
  22. B. B. Mohammad, V. Sateeshkrishna Dhuli, M. K. Enduri and L. R. Cenkeramaddi, “A Novel Convex Combination-based Mixed Centrality Measure for Identification of Influential Nodes in Complex Networks,” in IEEE Access, doi: 10.1109/ACCESS.2024.3450296.  
  23. J. Amendola, L. R. Cenkeramaddi and A. Jha, “Drone Landing and Reinforcement Learning: State-of-art, Challenges and Opportunities,” in IEEE Open Journal of Intelligent Transportation Systems, doi: 10.1109/OJITS.2024.3444487.
  24. M. Chiranjeevi, V. S. Dhuli, M. K. Enduri, K. Hajarathaiah and L. R. Cenkeramaddi, “Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking,” in IEEE Access, vol. 12, pp. 93711-93722, 2024, doi: 10.1109/ACCESS.2024.3424834.
  25. A. Chakravarthi Mahipathi, B. Pardhasaradhi, P. Lingadevaru, P. Srihari, J. D’Souza and L. Reddy Cenkeramaddi, “A Survey on Waveform Design for Radar-Communication Convergence,” in IEEE Access, vol. 12, pp. 75442-75461, 2024, doi: 10.1109/ACCESS.2024.3404628 . 
  26. V. V. Patel, A. R. Yadav, P. Jain, and L. R. Cenkeramaddi, “A Systematic Kidney Tumor Segmentation and Classification Framework using Adaptive and Attentive-based Deep Learning Networks with Improved Crayfish Optimization Algorithm,” in IEEE Access, vol. 12, pp. 85635-85660, 2024, doi: 10.1109/ACCESS.2024.3410833. 
  27. P. Jain, A. M. Joshi, S. P. Mohanty, and L. R. Cenkeramaddi, “Non-invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges,” IEEE Access, vol. 12, pp. 61907-61936, 2024, doi: 10.1109/ACCESS.2024.3389819.
  28. V. Tiwari, C. Pandey, S. S. Yadav, D. S. Roy, O. J. Pandey, and L. R. Cenkeramaddi, “Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES,” IEEE Open Journal of the Communications Society, vol. 5, pp. 2541-2554, 2024,doi: 10.1109/OJCOMS.2024.3389591.
  29. M. Chiranjeevi, V. S. Dhuli, M. K. Enduri, and L. R. Cenkeramaddi, “Identifying and Ranking of Best Influential Spreaders with Extended Clustering Coefficient Local Global Centrality Method,” IEEE Access, vol. 12, pp. 52539-52554, 2024, doi: 10.1109/ACCESS.2024.3387745.
  30. S. Dhuli, F. Atik, A. Chhabra, P. Singh and L. R. Cenkeramaddi, “Performance Analysis of Gossip Algorithms for Large Scale Wireless Sensor Networks,” in IEEE Open Journal of the Computer Society, vol. 5, pp. 290-302, 2024, doi: 10.1109/OJCS.2024.3397345. 
  31. N. S. Chilamkurthy, S. A. Hakeem, S. K. Tiwari, A. Ghosh, L. R. Cenkeramaddi and O. J. Pandey, “Optimal Routing Protocol in LPWAN Using SWC: A Novel Reinforcement Learning Framework,” in IEEE Sensors Journal, vol. 24, no. 9, pp. 15607-15619, 1 May1, 2024, doi: 10.1109/JSEN.2024.3378463.
  32. K. Gupta, S. R. Yeduri and L. R. Cenkeramaddi, “Breathing Rate Classification Using Piezoresistive Sensor Utilizing Continuous Wavelet Transform and Lightweight CNN,” in IEEE Access, vol. 12, pp. 50362-50375, 2024, doi: 10.1109/ACCESS.2024.3384983. 
  33. A. Sonny, A. Kumar and L. R. Cenkeramaddi, “Dynamic Targets Occupancy Status Detection Utilizing mmWave Radar Sensor and Ensemble Machine Learning,” in IEEE Open Journal of the Industrial Electronics Society, vol. 5, pp. 251-263, 2024, doi: 10.1109/OJIES.2024.3377012
  34. B. B. Mohammad, S. Dhuli, M. K. Enduri and L. R. Cenkeramaddi, “Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks,” in IEEE Access, vol. 12, pp. 48404-48419, 2024, doi: 10.1109/ACCESS.2024.3384242. 
  35. Simen Birkeland, Lin Julie Fjeldvik, Nadia Noori, Sreenivasa Reddy Yeduri, and Linga Reddy Cenkeramaddi, “Video based hand gesture recognition dataset using thermal camera,” Elsevier Data in Brief Journal (2024). DOI: https://doi.org/10.1016/j.dib.2024.110299
  36. J. Amendola, L. R. Cenkeramaddi and A. Jha, “Image Translation and Reconstruction Using a Single Dual Mode Lightweight Encoder,” in IEEE Access, vol. 12, pp. 26787-26799, 2024, doi: 10.1109/ACCESS.2024.3365831.
  37. A. Joshi, B. Raman, C. K. Mohan, and L. R. Cenkeramaddi, ‘A new machine learning approach for estimating shear wave velocity profile using borelog data’, Elsevier Soil Dynamics and Earthquake Engineering, vol. 177, p. 108424, 2024. DOI: https://doi.org/10.1016/j.soildyn.2023.108424
  38. W. A. Nelson, S. R. Yeduri, A. Jha, A. Kumar and L. R. Cenkeramaddi, “RL-Based Energy-Efficient Data Transmission Over Hybrid BLE/LTE/Wi-Fi/LoRa UAV-Assisted Wireless Network,” in IEEE/ACM Transactions on Networking, vol. 32, no. 3, pp. 1951-1966, June 2024, doi: 10.1109/TNET.2023.3332296. 
  39. K. N. Kumar, C. K. Mohan and L. R. Cenkeramaddi, “The Impact of Adversarial Attacks on Federated Learning: A Survey,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 5, pp. 2672-2691, May 2024, doi: 10.1109/TPAMI.2023.3322785.
  40. Naga Srinivasarao Chilamkurthy, Niteesh Karna, Vamsidhar Vuddagiri, Satish K. Tiwari, Anirban Ghosh, Om Jee Pandey, and Linga Reddy Cenkaramaddi, “Energy-Efficient and QoS-Aware Data Transfer in Q-Learning-Based Small-World LPWANs,” IEEE Internet of Things Journal (2023).
  41. N. Sinha, M. A. G. Kumar, A. M. Joshi and L. R. Cenkeramaddi, “DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features,” in IEEE Access, vol. 11, pp. 117643-117655, 2023, doi: 10.1109/ACCESS.2023.3325705. 
  42. Soumya A, Krishna Mohan C, Linga Reddy Cenkeramaddi, “Recent Advances in mmWave Radar-based Sensing, Its Applications and Machine Learning Techniques: A Review,” MDPI Sensors (2023).
  43. Mondikathi Chiranjeevi, V Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi, “ICDC: Ranking Influential Nodes in Complex Networks based on Isolating and Clustering Coefficient Centrality Measures,” IEEE Access (2023).
  44. Nemalidinne Siva Mouni, Sreenivasa Reddy Yeduri, Abhinav Kumar, and Linga Reddy Cenkeramaddi, “Short Packet Communications in UAV-NOMA System with Imperfect SIC,” IEEE Communications Letters (2023).
  45. Kusum Lata and Linga Reddy Cenkeramaddi, “FPGA-based PUF Designs: A Comprehensive Review and Comparative Analysis,” MDPI Cryptography (2023).
  46. Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan, Linga Reddy Cenkeramaddi, “Application of a New Machine Learning Model to Improve Earthquake Ground Motion Predictions”, Springer Natural Hazards (2023). DOI: https://doi.org/10.1007/s11069-023-06230-4
  47. R. R. Yakkati, S. R. Yeduri, R. K. Tripathy and L. R. Cenkeramaddi, “Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series,” in IEEE Access, vol. 11, pp. 116570-116580, 2023, doi: 10.1109/ACCESS.2023.3324961.  
  48. Amala Sonny, Sreenivasa Reddy Yeduri, and Linga Reddy Cenkeramaddi, “Q-Learning-based Unmanned Aerial Vehicle Path Planning with Dynamic Obstacle Avoidance,” Elsevier Applied Soft Computing Journal (2023). DOI: https://doi.org/10.1016/j.asoc.2023.110773
  49. Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi, “Time Frequency Domain Deep CNN for Automatic Background Classification in Speech Signals,” International Journal of Speech Technology (2023). DOI:  https://doi.org/10.1007/s10772-023-10042-z
  50. A. Sonny, A. Kumar and L. R. Cenkeramaddi, “Carry Object Detection Utilizing mmWave Radar Sensors and Ensemble-Based Extra Tree Classifiers on the Edge Computing Systems,” in IEEE Sensors Journal, vol. 23, no. 17, pp. 20137-20149, 1 Sept.1, 2023, doi: 10.1109/JSEN.2023.3295574. 
  51. J. Amendola, A. Dayal, L. R. Cenkeramaddi and A. Jha, “Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization,” in IEEE Access, vol. 11, pp. 73583-73598, 2023, doi: 10.1109/ACCESS.2023.3295212. 
  52. Wilson A N, Ajit Jha, Abhinav Kumar, and Linga Reddy Cenkeramaddi, “Estimation of Number of Unmanned Aerial Vehicles in a Scene utilizing Acoustic Signatures and Machine Learning,” The Journal of the Acoustical Society of America (JASA), 2023. DOI: https://doi.org/10.1121/10.0020292  
  53. A. Sonny, S. R. Yeduri and L. R. Cenkeramaddi, “Autonomous UAV Path Planning Using Modified PSO for UAV-Assisted Wireless Networks,” in IEEE Access, vol. 11, pp. 70353-70367, 2023, doi: 10.1109/ACCESS.2023.3293203.
  54. G. Salata, L. R. Cenkeramaddi, V. K. Huynh, K. G. Robbersmyr and A. Jha, “Time–Frequency Analysis and Fault Prediction of Motor Bearings Using Millimeter-Wave Radar,” in IEEE Sensors Journal, vol. 23, no. 16, pp. 18718-18728, 15 Aug.15, 2023, doi: 10.1109/JSEN.2023.3292899.
  55. S. Garg, U. P. Shukla and L. R. Cenkeramaddi, “Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers,” in IEEE Access, vol. 11, pp. 57880-57894, 2023, doi: 10.1109/ACCESS.2023.3281453.
  56. C. Vishnu, J. Khandelwal, C. K. Mohan and C. L. Reddy, “EVAA—Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-10, 2023, Art no. 5703410, doi: 10.1109/TGRS.2023.3292372.
  57. G. Sharma, A. M. Joshi, R. Gupta and L. R. Cenkeramaddi, “DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network,” in IEEE Access, vol. 11, pp. 52327-52338, 2023, doi: 10.1109/ACCESS.2023.3275024. 
  58. G. N. K. Reddy, M. S. Manikandan, N. V. L. N. Murty and L. R. Cenkeramaddi, “Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices,” in IEEE Access, vol. 11, pp. 41708-41740, 2023, doi: 10.1109/ACCESS.2023.3269584.
  59. Ajit Jha, Linga Reddy Cenkeramaddi, and Santiago Royo, “Generalized multi-cavity laser self-mixing interferometry based on scattering theory,” Optics Express Journal (2023). DOI:  10.1364/OE.484086
  60. Kusum Lata, Linga Reddy Cenkeramaddi, “Deep Learning for Medical Image Cryptography: A Comprehensive Review,” MDPI Applied Sciences (ISSN 2076-3417), 2023. DOI: https://doi.org/10.3390/app13148295
  61. Jain, Sushil Kumar; Joshi, Amit Mahesh; Cenkeramaddi, Linga Reddy, “Dielectric Modulated Bilayer Electrode Top Contact OTFT for Label Free Biosensing,” IEEE Access Journal. ISSN: 2169-3536 (2023). DOI:10.1109/ACCESS.2023.3253563.
  62. Wilson A N, Khushi Gupta, Balu Harshavardan Koduru, Abhinav Kumar, Ajit Jha, and Linga Reddy Cenkeramaddi, “Recent Advances in Thermal Imaging and It’s Applications using Machine Learning: A Review,” IEEE Sensors Journal (2023). DOI: 10.1109/JSEN.2023.3234335‘
  63. Aveen Dayal, Aishwarya M., Abhilash S., C. Krishna Mohan, Abhinav Kumar, Linga Reddy Cenkeramaddi, “Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition using Thermal Images,” IEEE Sensors Journal (2023).DOI: 10.1109/JSEN.2023.3235379
  64. Gunnery Srinath, Bethi Pardhasaradhi, Ashoka Chakravarthi Mahipathi, Prashantha Kumar H, Pathipati Srihari, Linga Reddy Cenkeramaddi, “Performance Analysis of Spectrum Sharing Radar in Multipath Environment,” IEEE Open Journal of the Communications Society (2023).DOI:10.1109/OJCOMS.2023.3240116
  65. Wilson A N, Abhinav Kumar, Ajit Jha, Linga Reddy Cenkeramaddi, “Multi-target Angle of Arrival Estimation using Rotating mmWave FMCW Radar and Yolov3,” IEEE Sensors Journal (2022). DOI:https://doi.org/10.1109/JSEN.2022.3231790
  66. KODURU HAJARATHAIAH, MURALI KRISHNA ENDURI, SATEESHKRISHNA DHULI, SATISH ANAMALAMUDI1, AND LINGA REDDY CENKERAMADDI, “Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks,” IEEE Access journal (2022). DOI: 10.1109/ACCESS.2022.3232288  
  67. Sreenivasa Reddy Yeduri, Naga Chilamkurthy, Om Jee Pandey, and Linga Reddy Cenkeramaddi, “Energy and Throughput Management in Delay-Constrained Small-World UAV-IoT Network,” IEEE Internet of Things Journal (2022). DOI: 10.1109/JIOT.2022.3231644
  68. PUDI DHILLESWARARAO, SRINIVAS BOPPU, M. SABARIMALAI MANIKANDAN, LINGA REDDY CENKERAMADDI, “Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey” IEEE Access Journal (2022)DOI: 10.1109/ACCESS.2022.3229767.
  69. Kenneth Bremnes, Rebecca Moen, Sreenivasa Reddy Yeduri, Rakesh Reddy Yakkati, and Linga Reddy Cenkeramaddi, “Classification of UAVs utilizing Fixed Boundary Empirical Wavelet Subbands of RF Fingerprints and Deep Convolutional Neural Network,” IEEE Sensors Journal (2022). DOI: https://doi.org/10.1109/JSEN.2022.3208518
  70. Khushi Gupta, Arshdeep Singh, Sreenivasa Reddy Yeduri, M B Srinivas, Linga Reddy Cenkeramaddi, “Hand Gestures Recognition using Edge Computing System based on Vision Transformer and Lightweight CNN,” has been accepted for publication in the Journal of Ambient Intelligence and Humanized Computing (2022). DOI: https://doi.org/10.1007/s12652-022-04506-4
  71. Kumuda D K, Vandana G S, Bethi Pardhasaradhi, B S Raghavendra, Pathipati Srihari, and Linga Reddy Cenkeramaddi, “Multi Target Detection and Tracking by Mitigating Spot Jammer Attack in 77GHz mm-Wave Radars: An Experimental Evaluation,” IEEE Sensors Journal (2022). DOI:  10.1109/JSEN.2022.3227012
  72. Khushi Gupta, Srinivas M. B., Soumya J, Om Jee Pandey, Linga Reddy Cenkeramaddi, “Automatic Contact-less Monitoring of Breathing Rate and Heart Rate utilizing the Fusion of mmWave Radar and Camera Steering System,” IEEE Sensors Journal (2022). DOI: 10.1109/JSEN.2022.3210256
  73. Sindhusha Jeeru, Arun Kumar Sivapuram, David Gonzalez Leon, Gröli Jade, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi, “Depth Camera based Dataset of Hand Gestures,” Elsevier Data in Brief Journal (2022). DOI: https://doi.org/10.1016/j.dib.2022.108659
  74. Shraddha Tripathi, Om Jee Pandey, Linga Reddy Cenkeramaddi, and Rajesh M. Hegde, “A Socially-Aware Radio Map Framework for Improving QoS of UAV-Assisted Edge Networks,” IEEE Transactions on Network and Service Management (2022).DOI: 10.1109/TNSM.2022.3206473
  75. Ashish Reddy Bommana, Susheel Ujwal Siddamshetty, Dhilleswararao Pudi, Arvind T. K. R, Srinivas Boppu, M Sabarimalai Manikandan, Linga Reddy Cenkeramaddi, “Design of Synthesis-time Vectorized Arithmetic Hardware for Tapered Floating-point Addition and Subtraction,” has been accepted for publication in the ACM Transactions on Design Automation of Electronic Systems (2022).
  76. Venkata Satya Chidambara Swamy Vaddadi, Saidi Reddy Parne, Vijeesh V. P., Suman Gandi, Saran Srihari Sripada Panda, Linga Reddy Cenkeramaddi, “Design and Fabrication of Liquid Pressure Sensor using FBG Sensor through Seesaw Hinge Mechanism,” IEEE Photonics Journal (2022). DOI: 10.1109/JPHOT.2022.3210146
  77. N. S. Chilamkurthy, O. J. Pandey, A. Ghosh, L. R. Cenkeramaddi and H. N. Dai “Low-Power Wide-Area Networks: A Broad Overview of its Different Aspects,” IEEE Access Journal (2022).DOI: 10.1109/ACCESS.2022.3196182
  78. B. Pardhasaradhi, R. R. Yakkati, and L. R. Cenkeramaddi, “Machine Learning based Screening and Measurement to Measurement Association for Navigation in GNSS Spoofing Environment,” has been accepted for publication in the IEEE Sensors Journal (2022).DOI: 10.1109/JSEN.2022.3214349
  79. Dhilleswararao Pudi, Samuel Harrison, Dimitrios Stathis, Srinivas Boppu, Ahmed Hemani, Linga Reddy Cenkeramaddi, “Methodology for Structured Data Path Implementation in VLSI Physical Design: A Case Study” MDPI Electronics (Advanced Design Techniques and EDA Methodologies for Analog, RF and MM-Wave Circuit Design) 2022. DOI: https://doi.org/10.3390/electronics11182965
  80. A. Dayal, L. R. Cenkeramaddi, and A. Jha, “Reward Criteria Impact on the Performance of Reinforcement Learning Agent for Autonomous Navigation” Elsevier Applied Soft Computing Journal (2022). DOI: https://doi.org/10.1016/j.asoc.2022.109241
  81. R. Jaiswal, S. R. Yeduri and L. R. Cenkeramaddi, “Single-Channel Speech Enhancement Using Implicit Wiener Filter for High-Quality Speech Communication” Springer International Journal of Speech Technology (2022). DOI: https://doi.org/10.1007/s10772-022-09987-4
  82. David Gonz´alez Le´on, Jade Groli, Sreenivasa Reddy Yeduri, Daniel Rossier, Romuald Mosqueron, Om Jee Pandey, and Linga Reddy Cenkeramaddi, “Video Hand Gestures Recognition using Depth Camera and Lightweight CNN,” IEEE Sensors Journal (2022).DOI: 10.1109/JSEN.2022.3181518. This article has been selected to appear in IEEE Sensors Alert (2024)
  83. Samala Jagadheesh, P. Veda Bhanu, Soumya J, and Lina Reddy Cenkeramaddi “Reinforcement Learning based Fault-Tolerant Routing Algorithm for Mesh based NoC and its FPGA Implementation” IEEE Access Journal (2022). DOI: 10.1109/ACCESS.2022.3168992
  84. B. Pardhasaradhi and L. R. Cenkeramaddi “GPS Spoofing Detection and Mitigation for Drones using Distributed Radar Tracking and Fusion,” IEEE Sensors Journal (2022).DOI: 10.1109/JSEN.2022.3168940. This article has been selected to appear in IEEE Sensors Alert (2024)
  85. Aveen Dayal, Sreenivasa Reddy Yeduri, Balu Harshavardan Koduru, Rahul Kumar Jaiswal, Soumya J, Srinivas M.B., Om Jee Pandey and Linga Reddy Cenkeramaddi, “Light Weight Deep Convolutional Neural Network for Background Sound Classification in Speech Signals,” The Journal of the Acoustical Society of America (JASA), 2022. DOI: https://doi.org/10.1121/10.0010257
  86. Sreenivasa Reddy Yeduri, Daniel Skomedal Breland, Om Jee Pandey, and Linga Reddy Cenkeramaddi, “Updating Thermal Imaging Dataset of Hand Gestures with Unique Labels,” Elsevier Data in Brief Journal (2022). DOI: https://doi.org/10.1016/j.dib.2022.108037
  87. Sreenivasa Reddy Yeduri; Daniel Skomedal Breland; Simen Birkeland Skriubakken; Om Jee Pandey; Linga Reddy Cenkeramaddi, “Low-Resolution Thermal Imaging Dataset of Sign Language Digits” Elsevier Data in Brief Journal (2022).
    DOI: https://doi.org/10.1016/j.dib.2022.107977
  88. Wilson A N, Abhinav Kumar, Ajit Jha, and Linga Reddy Cenkeramaddi, “Embedded Sensors, Communication Technologies, Computing Platforms and Machine Learning for UAVs: A Review,” IEEE Sensors Journal (2022). This article has been published in the IEEE Sensors Journal as a Featured Article in Issue 3. DOI: https://doi.org/10.1109/JSEN.2021.3139124
  89. Tushar Bose, Aala Suresh, Om Jee Pandey, Linga Reddy Cenkeramaddi, Rajesh M. Hegde, “Improving Quality-of-Service in Cluster-Based UAV-Assisted Edge Networks,” IEEE Transactions on Network and Service Management (2021). DOI: 10.1109/TNSM.2021.3139892
  90. Yeduri Sreenivasa Reddy, Abhinav Kumar , Om Jee Pandey, and Linga Reddy Cenkeramaddi, “Spectrum Cartography Techniques, Challenges, Opportunities, and Applications: A Survey” Elsevier Pervasive and Mobile Computing Journal (2021). DOI: 10.1016/j.pmcj.2021.101511
  91. Venkata satya chidambara swamy Vaddadi, Saidi Reddy Parne, Vijeesh V. P., Suman Gandi and Linga Reddy Cenkeramaddi, “Design and Implementation of Density Sensor for Liquids using Fiber Bragg Grating Sensor,” IEEE Photonics Journal (2021). DOI: 10.1109/JPHOT.2021.3129587
  92. Khushi Gupta, Soumya J., M.B. Srinivas, Srinivas Boppu, M. Manikandan Sabarimalai, LINGA REDDY CENKERAMADDI *, “Localization of Multi-class on-Road and Aerial Targets using mmWave FMCW Radar,” MDPI Electronics (2021). DOI: 10.3390/electronics10232905
  93. Rajesh Reddy Yakkati, Rakesh Reddy Yakkati, Rajesh Kumar Tripathy and Linga Reddy Cenkeramaddi, “Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System using Multiscale Deep CNN,” IEEE Sensors Journal (2021). DOI: 10.1109/JSEN.2021.3128395
  94. D. S. Breland, A. Dayal, A.Jha, P. K. Yalavarthy, O. J. Pandey, and L. R. Cenkeramaddi*, “Robust Hand Gestures Recognition using a Deep CNN and Thermal Images,” IEEE Sensors Journal 2021.DOI: 10.1109/JSEN.2021.3119977
  95. J. Bhardwaj*, J. P. Krishnan, D. F. Larios Marin, B. B. Lozano, L. R. Cenkeramaddi, and Christopher Harman, “Cyber-Physical Systems for Smart Water Networks: A Review,” IEEE Sensors Journal 2021. DOI: 10.1109/JSEN.2021.312150623. DOI:10.1109/JSEN.2021.3121506
  96. S. S. S. Panda, T. Panigrahi*, S. R. Parne, S. L. Sabat, and L. R. Cenkeramaddi, “Recent Advances and Future Directions of Microwave Photonic Radars: A Review,” IEEE Sensors Journal, 2021. DOI: 10.1109/JSEN.2021.3099533.
  97. M. Jindal, A. Jha*, and L. R. Cenkeramaddi, “Bollard Segmentation and PositionEstimation from Lidar Point Cloud for autonomous mooring,” IEEE Transactions on Geoscience and Remote Sensing, 2021.DOI: 10.1109/TGRS.2021.3097134
  98. A. Chowdary, Y. Ramamoorthi, A. Kumar, and L. R. Cenkeramaddi*, “Joint Resource Allocation and UAV Scheduling with Ground Radio Station Sleeping,” IEEE Access Journal 9,124505-124518 (2021).20. DOI: 10.1109/access.2021.3111087
  99. A. Pandya, A. Jha, and L. R. Cenkeramaddi*, “A Velocity Estimation Technique using Camera for the Targets in the out of Field of View (FoV) of mmWave FMCW Radars,” MDPI Electronics 10, 2397 (2021). DOI: 10.3390/electronics10192397
  100. J. Bhatia, A. Dayal, A. Jha, S. K. Vishvakarma, Soumya J., M. B. Srinivas, P. K. Yalavarthy,A. Kumar, V. Lalitha, S. Koorapati, and L. R. Cenkeramaddi*, “Classification of Targets using Statistical Features from Range FFT of mmWave FMCW Radars,” MDPI Electronics(Artificial Intelligence Circuits and Systems (AICAS)) 10(16), 1965 (2021).
    DOI: 10.3390/electronics10161965
  101. P. K. Rai, A. Kumar, M. Zafar A. Khan, andL. R. Cenkeramaddi*, “LTE-based PassiveRadars and Applications: A Review,” International Journal of Remote Sensing, 42(19), 7489-7518 (2021). DOI: 10.1080/01431161.2021.1959669
  102. S. Gupta, P. K. Rai, A. Kumar, P. K. Yalavarthy, and L. R. Cenkeramaddi*, “TargetClassification by mmWave FMCW Radars using Machine Learning on Range-Angle Images,” IEEE Sensors Journal 21(18), 19993-20001 (2021). DOI: 10.1109/JSEN.2021.3092583 This article has been selected to appear in IEEE Sensors Alert (2022)
  103. P. K. Rai, H. Idse, R. R. Yakkati, A. Kumar, M. Z. Ali Khan, P. K. Yalavarthy, andL. R.Cenkeramaddi*, “Localization and Activity Classification of Unmanned Aerial Vehicle usingmmWave FMCW Radars,” IEEE Sensors Journal 21(14), 16043-16053 (2021). DOI: 10.1109/JSEN.2021.3075909
  104. N. Awasthi, A. Dayal, L. R. Cenkeramaddi, and P. K. Yalavarthy*, “Mini-COVIDNet: Efficient Light Weight Deep Neural Network for Ultrasound based Point-of-Care Detection ofCOVID-19,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68(6),2023-2037 (2021). [Coverpage Article] DOI: 10.1109/TUFFC.2021.3068190
  105. N. Paluru, A. Dayal, H. B. Jenssen, T. Sakinis,L. R. Cenkeramaddi, J. Prakash, andP. K. Yalavarthy*, “Anam-Net : Anamorphic Depth Embedding based Light-Weight CNN for segmentation of Anomalies in COVID-19 Chest CT Images,” IEEE Transactions on Neural Networks and Learning Systems (Fast Track: COVID-19 Focused Papers) 32(3), 932-946 (2021). DOI: 10.1109/TNNLS.2021.3054746
  106. L. R. Cenkeramaddi*, P. K. Rai, A. Dayal, J. Bhatia, A. Pandya, J. Soumya, A. Kumar, and A. Jha, “A Novel Angle Estimation for mmWave FMCW radars using Machine Learning,” IEEE Sensors Journal 21(8), 9833-9843 (2021). This article has been selected to appear in IEEE Sensors Alert (2022); DOI: 10.1109/JSEN.2021.3058268
  107. D. S. Breland, S. B. Skriubakken, A. Dayal, A. Jha, P. K. Yalavarthy, and L. R. Cenkera-maddi*, “Deep Learning based Sign Language Digits Recognition from Thermal Images with Edge Computing System,” IEEE Sensors Journal 21(9), 10445-10453 (2021). DOI: 10.1109/JSEN.2021.3061608
  108. P. Veda Bhanu, R. Govindan, P. Kattamuri, Soumya J, andL. R. Cenkeramaddi*,“Flexible Spare Core Placement in Torus Topology based NoCs and its validation on an FPGA,” IEEE Access Journal 9, 45935-45954 (2021).DOI: 10.1109/ACCESS.2021.3066537
  109. A. Jha*, M. K. Shah, S. Jha,L. R. Cenkeramaddi, and S. Royo, “Current ModulationInduced Stability in Laser Diode Under High Optical Feedback Strength,” IEEE Access Journal 9, 49537-49546 (2021). DOI: 10.1109/ACCESS.2021.3069387
  110. P. V. Bhanu, R. Govindan, R. Kumar, V. Singh, Soumya J, andL. R. Cenkeramaddi*,“Fault-Tolerant Application-Specific Topology based NoC and its Prototype on an FPGA,” IEEE Access Journal 9, 76759-76779 (2021).DOI: 10.1109/ACCESS.2021.3082852
  111. A. Dayal, N. Paluru, L. R. Cenkeramaddi*, Soumya. J., and P. K. Yalavarthy, “Design and Implementation of Deep Learning Based Contactless Authentication System Using HandGestures,” MDPI Electronics (Artificial Intelligence Circuits and Systems (AICAS)), 10(2), 182(2020). DOI: 10.3390/electronics10020182
  112. Østgaard, Nikolai*; Balling, Jan E.; Bjrnsen, Thomas; Brauer, Peter; Budtz-Jrgensen, Carl;Bujwan, Waldemar; Carlson, Brant; Christiansen, Freddy; Connell, Paul; Eyles, Chris; Fehlker,Dominik; Genov, Georgi; Grudziski, Pawel; Kochkin, Pavlo; Kohfeldt, Anja; Kuvvetli, Irfan;Thomsen, Per Lundahl; Pedersen, Sren Mller; Navarro-Gonzalez, Javier; Neubert, Torsten;Njten, Kre; Orleanski, Piotr; Qureshi, Bilal;L. R. Cenkeramaddi; Reglero, Victor; Reina,Manuel; Rodrigo, Juan; Rostad, Maja; Sabau, Maria; Kristensen, Steen Savstrup; Skogseide,Yngve; Solberg, Arne; Stadsnes, Johan; Ullaland, Kjetil; Yang, Shiming, “The Modular X- and Gamma-Ray Sensor (MXGS) of the ASIM Payload on the International Space Station,”SpaceScience Reviews,215(2),23(2019).DOI:10.1007/s11214-018-0573-7
  113. L. R. Cenkeramaddi, Singh, T. Ytterdal, T. “Inverter-based 1 V analog front-end amplifiers in 90 nm CMOS for medical ultrasound imaging.” Analog Integr Circ Sig Process 67, 7383 (2011).DOI: 10.1007/s10470-010-9550-0
  114. L. R. Cenkeramaddiand Trond Ytterdal. 2010. “Clock jitter impact on the performance of general charge sampling amplifiers.” Analog Integr. Circuits Signal Process. 63, 1 (April 2010),93100.DOI: 10.1007/s10470-009-9367-x
  115. Kumar M.J. and L. R. Cenkeramaddi, “Silicon-on-Insulator Lateral Dual Sidewall Schottky (SOI-LDSS) Concept for Improved Rectifier Performance: A Two-Dimensional SimulationStudy,” Microelectronics International, vol. 23, No.1, pp. 16-18, January 2006. DOI: 10.1108/13565360610642705
  116. Kumar M.J. and L. R. Cenkeramaddi, “A New Dual band gap Emitter Schottky CollectorPNM HBT on SOI with Reduced Collector Emitter Offset Voltage,” IEE / IET Circuits, Devices and Systems, Vol.151, April 2004. DOI: 10.1109/TENCON.2003.1273371
  117. Kumar M.J. and L. R. Cenkeramaddi*, “A Novel SiC Emitter, SiGe Base Lateral SchottkyCollector NPM HBT on SOI,” Elsevier Microelectronics Reliability Journal 43, 1145-1149 (2003). LINK: https://web.iitd.ac.in/~mamidala/HTMLobj-164/MRJuly03.pdf
  118. Kumar M.J. and L. R. Cenkeramaddi*, “A New High Voltage 4H-SiC Lateral DualSidewall Schottky (LDSS) Rectifier: Theoretical Investigation and Analysis,” IEEE Transactions on Electron Devices 50, 1690-1693 (2003). DOI: 10.1109/TED.2003.813783

Conference Publications:

  1. Aveen Dayal, Rishabh Lalla,  Vineeth N Balasubramanian, Linga Reddy Cenkeramaddi, C. Krishna Mohan, and Abhinav Kumar, “Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach,” in European Conference on Computer Vision (ECCV) 2024.
  2. Rohil Utture, Alan Biju, Vishnu Srinivasa Murthy Yarlagadda, Linga Reddy Cenkeramaddi, Nancy Kumari, “Weather Prediction based on the Cloud Images using Machine and Deep Learning Algorithms,” IEEE International Conference on Next Generation Communication & Information Processing 2025 (IEEE INCIP 2025).
  3. Vamsi Puduru, Pardhasaradhi Bethi, Sagar Koorapati, Linga Reddy Cenkeramaddi, “Lightweight Deep Learning Model for Airborne Object Classification,” The 14th IEEE International Conference on Communication Systems and Network Technologies (IEEE CSNT-2025), 7-8 March 2025, Bhopal, India.
  4. Siddharth Amarnath, Pardhasaradhi Bethi, Vellalacheruvu Venkata Siva Sai Anil Kumar, Sagar Koorapati; Linga Reddy Cenkeramaddi, “Indoor Sound Classification Using Lightweight CNN With Real-Time IoT Integration,” The 14th IEEE International Conference on Communication Systems and Network Technologies (IEEE CSNT-2025), 7-8 March 2025, Bhopal, India.
  5. Venkata Raghava Shashank Viswanathuni, Sarada Puranapanda, Pardhasaradhi Bethi, Sagar Koorapati, Linga Reddy Cenkeramaddi, “Lightweight CNN for Everyday Human Sound Classification on Edge Devices,” The 14th IEEE International Conference on Communication Systems and Network Technologies (IEEE CSNT-2025), 7-8 March 2025, Bhopal, India.
  6. Ankit Kumar, Vellalacheruvu Venkata Siva Sai Anil Kumar, Pardhasaradhi Bethi, Sagar Koorapati, Linga Reddy Cenkeramaddi, “Marine Mammals Sound Classification Using a Lightweight CNN for Edge Computing Devices,” The 14th IEEE International Conference on Communication Systems and Network Technologies (IEEE CSNT-2025), 7-8 March 2025, Bhopal, India.
  7. Ram Ellore, Rakesh Reddy Yakkati, Pardhasaradhi Bethi, Jing Zhou, and Linga Reddy Cenkeramaddi, “A Lightweight CNN for Real-Time Domestic Animal Sound Classification on IoT Devices Using Time-Frequency Imaging,” 2024 IEEE Applied Sensing Conference (APSCON), Hyderabad, India, 2024, pp. 1-4.
  8. Neha Miryala, Rakesh Reddy Yakkati, Sarada Puranapanda, Sreenivasa Reddy Yeduri, and Linga Reddy Cenkeramaddi, “Lightweight CNN for Real-Time Nature Sound Classification on Edge Devices,” 2024 IEEE Applied Sensing Conference (APSCON), Hyderabad, India, 2024, pp. 1-4.
  9. Vellalacheruvu Venkata Siva Sai Anil Kumar, Vishnu Srinivasa Murthy Yarlagadda , Manoj Kumar V, Sravani Vemulapalli , Pardhasaradhi Bethi, and Linga Reddy Cenkeramaddi, “An Ensemble Learning Approach to Covariance Intersection Fusion,” 2024 IEEE Applied Sensing Conference (APSCON), Hyderabad, India, 2024, pp. 1-4.
  10. Kattepogu Navya, Vellalacheruvu Venkata Siva Sai Anil Kumar, Pardhasaradhi Bethi, and Linga Reddy Cenkeramaddi, “Agricultural Gas Classification Using Gas Sensor Arrays and PCA-Based Dimensionality Reduction,” 2024 IEEE Applied Sensing Conference (APSCON), Hyderabad, India, 2024, pp. 1-4.
  11. Sacharitha Sirisilla, Pardhasaradhi Bethi, Jing Zhou, Ajit Jha, and Linga Reddy Cenkeramaddi, “Lightweight 2D CNN Fusion for Human Activity Recognition Using Multi-Transceiver CSI Data on Edge Devices,” 2024 IEEE Applied Sensing Conference (APSCON), Hyderabad, India, 2024, pp. 1-4.
  12. Rakesh Reddy Yakkati, Pardhasaradhi Bethi, Linga Reddy Cenkeramaddi, “Lightweight CNN Classifier for Multipath and Non-Multipath Human Activity Scenes of Radar Spectrograms,” has been accepted for presentation at IEEE WiMob 2024 – Workshop on Vehicular Networks for Risk Reduction and Safety-Related Systems.
  13. Sreedev Sreekumar, Shashank SK, Pathipati Srihari, Ashwin Nandagiri, Vandana G S, Bethi Pardhasaradhi and Linga Reddy Cenkeramaddi, “FMCW Radar-based UAV Detection and Tracking using Transfer Learning,” 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024, pp. 1-6.
  14. Sreedev Sreekumar, Shashank SK, manjith Srijaan, Pathipati Srihari, Vandana G S, Bethi Pardhasaradhi and Linga Reddy Cenkeramaddi, “Enhanced Intruder Detection Using mmWave Radar: A Spatiotemporal Clustering Approach for Robust Human Detection,” 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024, pp. 1-6.
  15. Bethi Pardhasaradhi, Pathipati Srihari, and Linga Reddy Cenkeramaddi, “Improved GNSS Anti Spoofing by Integrating Attribute Information into Measurement to Measurement Association Framework,” 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024, pp. 1-6.
  16. Pathipati Srihari, Vandana G S, Uday Kumar, Ashwin Nandagiri, Bethi Pardhasaradhi, and Linga Reddy Cenkeramaddi, “FMCW Radar-Based Detection and Tracking of Drones Using DBSCAN Clustering and Extended Kalman Filter for Anti-Drone Defense Systems” 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024, pp. 1-6.
  17. Vandana G S, Pathipati Srihari, Uday Kumar, Ashwin Nandagiri, Bethi Pardhasaradhi, and Linga Reddy Cenkeramaddi, “Real-Time UAV Altitude Estimation and Data Transmission via mmWave Radar and Edge Computing,” 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024, pp. 1-6.
  18. Ashwitha K. Shetty, R. Madhusudhan Goud, Krishnamoorthy K, Pathipati Srihari, Bethi Pardhasaradhi, and Linga Reddy Cenkeramaddi, “A High-Gain Half-Bow-Tie Antenna with Tapered Slots for Foliage Penetration Radar Application,” 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024, pp. 1-6.
  19. Anders Tellefsen, Rakesh Reddy Yakkati,  Linga Reddy Cenkeramaddi, “Vehicle Type Classification using Lightweight CNN from Aerial Images for Traffic Management Applications,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024)
  20. Nathala Sai Sree, Rakesh Reddy Yakkati, Daniel Skomedal Breland, Sreenivasa Reddy Yeduri, M. Sabarimalai Manikandan, Ajit Jha, Jing Zhou, Linga Reddy Cenkeramaddi, “A Deep CNN-based Hand Gestures Recognition using High-Resolution Thermal Imaging,” has been accepted for presentation in the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  21. A. Soumya, C. Krishna Mohan, Linga Reddy Cenkeramaddi, “PointBi-FPN: An Extention to Pointpillars for LiDAR 3D Object Detection in Autonomous Vehicles Using Bi-Directional Feature Pyramid Network,” has been accepted for presentation at the TENCON 2024 – 2024 IEEE Region 10 Conference (TENCON).
  22. Yalagala Sivanjaneyulu, M Sabarimalai Manikandan, Srinvas Boppu, Linga Reddy Cenkeramaddi, “Cuffless Blood Pressure Stratification and Hypertension Recognition Using Wearable PPG Sensor for Continuous Soldier Health Monitoring,” 2024 IEEE INTERNATIONAL WORKSHOP ON Technologies for Defense and Security, NAPOLI, ITALY / NOVEMBER 11-13, 2024.
  23. Sivaranjini P N, M Sabarimalai Manikandan, Linga Reddy Cenkeramaddi, “Deep Learning Based Soldier Face Detection and Counting Method for Military Tactical Operations and Artificial Intelligence Powered Weapons,” 2024 IEEE INTERNATIONAL WORKSHOP ON Technologies for Defense and Security, NAPOLI, ITALY / NOVEMBER 11-13, 2024.
  24. Jomole Varghese V, M Sabarimalai Manikandan, Linga Reddy Cenkeramaddi, “Quality-Aware Rhythm-Aware Heart Rate Variability Analysis for Soldier Health and Wellness Monitoring Using Wearable ECG Sensing Devices,” 2024 IEEE INTERNATIONAL WORKSHOP ON Technologies for Defense and Security, NAPOLI, ITALY / NOVEMBER 11-13, 2024.
  25. Jomole Varghese Vadakkan, M. Sabarimalai Manikandan and Linga Reddy Cenkeramaddi, “Lightweight Time-Domain Statistical Parameter Based Muscle Artifacts Detection for Trustworthy Wearable ECG Analysis Devices,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  26. Jomole Varghese Vadakkan, M. Sabarimalai Manikandan and Linga Reddy Cenkeramaddi, “CNN Based Heart Rate Classification Using ECG Signal Without R-peak Detection for Rhythm-Aware Health and Emotion Monitoring,” has been accepted for publication in the 16th IEEE International Conference on Electronics, Computers and Artificial Intelligence (ECAI 2024).
  27. Jomole Varghese Vadakkan, M. Sabarimalai Manikandan, and Linga Reddy Cenkeramaddi, “A Unified ECG Paper Digitization Framework with R-peak Detection for RR Interval Analysis and Deep ECG Learning Applications,” has been accepted for publication in the 16th IEEE International Conference on Electronics, Computers and Artificial Intelligence (ECAI 2024).
  28. P. N. Sivaranjini, M. Sabarimalai Manikandan, and Linga Reddy Cenkeramaddi, “Fast Autocorrelation Feature-Based Infant Cry Detector for Resource-Efficient Affordable Edge Cry Sound Analysis Systems,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  29. P. N. Sivaranjini, M. Sabarimalai Manikandan, and Linga Reddy Cenkeramaddi, “Spectrogram and LSTM Based Infant Cry Detection Method for Infant Wellness Monitoring Systems,” has been accepted for presentation at the 16th International Conference on Human System Interaction (HSI 2024).
  30. Y. V. Srinivasa Murthy, Smiti Agrawal, Reya Malu, Linga Reddy Cenkeramaddi, K. S. Madhusudhan, “A Comparative Approach for Weapon Detection from Images using Deep Learning Algorithms,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  31. Nathala Sai Sree, Rakesh Reddy Yakkati, Aveen Dayal, M. Sabarimalai Manikandan, Jing Zhou, Linga Reddy Cenkeramaddi,  “Vessel Type Classification utilizing Underwater Acoustic Data and Deep Learning,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  32. Sidharth Saji, M. Sabarimalai Manikandan, Jing Zhou, Linga Reddy Cenkeramaddi, “Underwater Debris Detection using Visual Images and YOLOv8n for Marine Pollution Monitoring,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  33. Nandam Sreevidya, Nathala Sai Sree, Aveen Dayal,  M. Sabarimalai Manikandan, Jing Zhou, Linga Reddy Cenkeramaddi. “Classification of Anomalies in Industrial Machines utilizing Machine Sounds and Deep Learning,” has been accepted for presentation at the 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024).
  34. Soma Anil Kumar, Achala G, Vandana G S, Pathipati Srihari, Pardhasaradhi Bethi, Linga Reddy Cenkeramaddi, “Real-Time Radar Imaging With Time Domain Correlation and Doppler Beam Sharpening,” 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT).
  35. Mohan Pudi, Dayananda B N, Achala G, Pathipati Srihari, Pardhasaradhi Bethi, Linga Reddy Cenkeramaddi, “High-Speed Strassen Matrix Multiplication Accelerators for 2D Kalman Filter,” 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT).
  36. Sreedev Sreekumar, Shashank S K, Vandana G S, Pathipati Srihari, Pardhasaradhi Bethi, Linga Reddy Cenkeramaddi, “Adult and Child Classification Using Automotive Radar for In-Cabin Monitoring,” 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT). The best paper award winning research article.
  37. Sreenivasa Reddy Yeduri and Linga Reddy Cenkeramaddi, “RL-based Small-World Internet of Drones Network for Low-Latency and Energy-Efficient Data Routing,” has been accepted at the 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom).
  38. Priakanth, P., Jothimani, K., Gopikrishnan, S., Linga Reddy, C. (2024). Smart City Survey on AIoT Using Machine Learning, Deep Learning, and Its Computing Tools. In: Nanda, U., Tripathy, A.K., Sahoo, J.P., Sarkar, M., Li, KC. (eds) Advances in Distributed Computing and Machine Learning. ICADCML 2024. Lecture Notes in Networks and Systems, vol 1015. Springer, Singapore. https://doi.org/10.1007/978-981-97-3523-5_4
  39. Robin Havås, Nadia Saad Noori, Christian Auby, Linga Reddy Cenkeramaddi, “Optimized Unmanned Aerial Vehicle (UAV) Localization and Autonomous Navigation Stack for Tightly Closed Industrial Spaces,” has been accepted for publication in the 2024 IEEE International Systems Conference (SysCon).
  40. Akarsh K Nair, Jayakrushna Sahoo, Linga Reddy Cenkeramaddi, Gaurav Jaswal, Ebin Deni Raj, “A streamlined FL framework for process optimisation via client clustering using rough c-means algorithm” has been accepted at 10th ACM Cyber-Physical System Security Workshop (CPSS 2024).
  41. Rakesh Reddy Yakkati, Anudeep Bhaskar Boddu, Pardhasaradhi Bethi, Sreenivasa reddy Yeduri, Linga Reddy Cenkeramaddi, “Low Probability of Intercept Radar Signal Classification using Multi-Channel 1D-CNN,” has been accepted for presentation at   2024 10th IEEE International Conference on Communication and Signal Processing (IEEE ICCSP).
  42. Soumya A, C Krishna Mohan and Linga Reddy Cenkeramaddi, “High Precision Single Shot Object Detection in Automotive Scenarios,” has been accepted for publication in the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2024).
  43. Anoopkumar K A, Dayananda B N, Achala G, Pathipati Srihari, Bethi Pardhasaradhi,
    and Linga Reddy Cenkeramaddi, “Design of Barker-7 Radar Pulse Compressor using DSP Architecture Minimization Techniques,” 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT).
  44. Dayananda B N, Neetesh Srivastava, Achala G, Ashwin Nandagiri, Pathipati Srihari,
    Bethi Pardhasaradhi, and Linga Reddy Cenkeramaddi, “Depth Information Fusion using Radar-LiDAR-Camera Experimental Setup for ADAS Applications,” 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT).
  45. D Vinod, J Zhou, BB Lozano, and LR Cenkeramaddi, “Event-Triggered Control for a Fog Computing Platform with AI-based Inference,” has been accepted for publication in the 25th IEEE International Conference on Industrial Technology (2024).
  46. Vishnu Prasad P, Vandana G S, Ashwin Nandagiri, Pathipati Srihari, Bethi Pardhasaradhi and Linga Reddy Cenkeramaddi “Automotive Radar Signal Authentication via Correlation and Power Spectral Density,” 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT).
  47. Alli Sai Prakash, Vandana G S, Ashwin Nandagiri, Pathipati Srihari, Bethi Pardhasaradhi,
    and Linga Reddy Cenkeramaddi, “Cyber Attacking Active FMCW Radar Signal AoA Estimation using Passive FMCW Radar for ADAS Applications,” 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT).
  48. Paramananda Jena, Ashutosh Singh, Vandana G S, Ashwin Nandagiri, Pathipati Srihari,
    Bethi Pardhasaradhi, and Linga Reddy Cenkeramaddi, “MIMO-SAR Image Reconstruction Experiment using Back-Projection Algorithm with Automotive Radar for ADAS Applications,” 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT).
  49. Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian, “Margin-based Adversarial Learning for Domain Generalization,” has been accepted at NeurIPS 2023.
  50. José Amendola, Linga Reddy Cenkeramaddi, and Ajit Jha, “Drone Landing on Moving UGV Platform With Reinforcement Learning Based Offsets,” has been accepted for publication in the 2023 IEEE International Symposium on Smart Electronic Systems (iSES), 18 – 20 Dec 2023, Ahmedabad, India.
  51. Riccardo Pretto, Aveen Dayal, Yonas Oghbasilasie Haile, Jose Amendola, Linga Reddy Cenkeramaddi, Kjell G. Robbersmyr, and Ajit Jha, “Motor Bearing Fault Classification using Laser Sensor and Light Weight CNN,” has been accepted for publication in the 2023 IEEE International Symposium on Smart Electronic Systems (iSES), 18 – 20 Dec 2023, Ahmedabad, India.
  52. José Amendola, Linga Reddy Cenkeramaddi, and Ajit Jha, “Single Reinforcement Learning Policy for Landing a Drone under Different UGV Velocities and Trajectories,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  53. Didrik Nicolai Robsrud, Orjan Ovsthus, Lars Muggerud, José Amendola, Linga Reddy Cenkeramaddi, Ilya Tyapin, and Ajit Jha, “Lidar-mmW Radar Fusion for Safer UGV Autonomous Navigation with Collision Avoidance,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  54. Orjan Ovsthus, Didrik Nicolai Robsrud, Lars Muggerud, José Amendola, Linga Reddy Cenkeramaddi, Ilya Tyapin, and Ajit Jha, “Mobile Robotic Manipulator based Autonomous Warehouse Operations,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  55. Wilson Ayyanthole Nelson, Ajit Jha, Abhinav Kumar, and Linga Reddy Cenkeramaddi, “Estimation of UAV Count Using Thermal Imaging and Lightweight CN,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  56. Jomole Varghese V, M. Sabarimalai Manikandan, and Linga Reddy Cenkeramaddi, “Lightweight Time-Domain HRV Index Extraction from Compressive ECG Measurements for Resource Constrained Edge Health Computing Devices,” has been accepted for publication at the 2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).
  57. Sivaranjini P N, M. Sabarimalai Manikandan, and Linga Reddy Cenkeramaddi, “Compressed Sensing Based SpO2 and PR Estimation for Improving Resource Utilization Efficiency of Wearables in IoMT Applications,” has been accepted for publication at the 2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).
  58. Soumya A, Linga Reddy Cenkeramaddi, Chalavadi Vishnu, Yash Vinod Lanjewar and Krishna Mohan C, “Multi-Target Classification using Deep Learning Models for Automotive Applications,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  59. Sivaranjini P N, M. Sabarimalai Manikandan and Linga Reddy Cenkeramaddi, “Lightweight Photoplethysmogram (PPG) Waveform Change Detection for Resource-Constrained IoT Enabled Remote Health Monitoring Devices,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  60. Thacchan Dondup, M. Sabarimalai Manikandan and Linga Reddy Cenkeramaddi, “EEG Based Emotion Recognition using Variational Mode Decomposition and Convolutional Neural Network for Affective Computing Interfaces,” has been accepted for publication in the 11th IEEE International Conference on Control, Mechatronics and Automation (ICCMA 2023), Campus Grimstad, University of Agder, Norway, November 1-3, 2023.
  61. Sriram Mahateja Akella, Kamar Mubasier, Maximilian Michallik, Sreenivasa Reddy Yeduri and Linga Reddy Cenkeramaddi, “Distributed Q-Learning-Based UAV-Assisted Small World Wireless Network for Energy-Efficient and Delay-Critical Data Transmission,” has been accepted for presentation and publication in the invited session at the IEEE 2023 2nd International Conference on 6G Networking (6GNet), to be held on October 18 -20, 2023 in Paris, France.
  62. A Soumya, Cenkeramaddi Linga Reddy, Chalavadi Vishnu, Lanjewar Yash Vinod, and C Krishna Mohan, “Multi Class Object Classification using Deep Learning Models in Automotive Object Detection Scenarios,” has been accepted for presentation and publication in the 2023 16th International Conference on Machine Vision (ICMV 2023).
  63. Prajwal Kumar Sahu, Srinivas Boppu, Rishad Shafik, Svein Anders Tunheim, Ole-Christoffer Granmo, and Linga Reddy Cenkeramaddi, “Enhancing Inference Performance through Include only Literal Incorporation in Tsetlin Machine” has been accepted for publication in the second International Symposium on the Tsetlin Machine (ISTM) 2023.
  64. P N Sivaranjini, M Sabarimalai Manikandan, and Linga Reddy Cenkeramaddi, “Fast Quality-Aware AMDF Based Pulse Rate Estimation from Compressed PPG Measurements for Wearable Vital Signs Monitor,” has been accepted for publication in the 15th Edition INTERNATIONAL CONFERENCE on Electronics, Computers and Artificial Intelligence 29 June – 30 June 2023.
  65. Jomole Varghese V, M. Sabarimalai Manikandan and Linga Reddy Cenkeramaddi, “Compressed ECG Sensing Based Fast/Slow HR and Regular/Irregular Rhythm Recognition for Resource-Constrained Health Monitoring Devices,” has been accepted for publication in the 15th Edition INTERNATIONAL CONFERENCE on Electronics, Computers and Artificial Intelligence 29 June – 30 June 2023.
  66. José Amendola, Linga Reddy Cenkeramaddi, and Ajit Jha, “Embedding Clustering using Lightweight Contrastive Learning For Cross-Modal Classification” has been accepted for presentation and publication in The 8th IEEE International Conference on Computer and Communication Systems (IEEE ICCCS2023), Guangzhou, China on April 21-24, 2023. The best paper award winning research article.
  67. Jaya Sharma, Peketi Divya, C. Vishnu, C. Linga Reddy, B. H Sekhar, C. Krishna Mohan, “Deformable and Structural Representative Network for Remote Sensing Image Captioning” has been accepted for publication in the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2023).
  68. J. Bhardwaj, C. Harman, H. S. G. Pussewalage and L. R. Cenkeramaddi, “Real-Time Missing Data Estimation in Water Networks,” 2023 IEEE Applied Sensing Conference (APSCON), Bengaluru, India, 2023, pp. 1-3, doi: 10.1109/APSCON56343.2023.10101123.
  69. Sravanth Chebrolu, Srinivas Boppu, and Linga Reddy Cenkeramaddi, “Hardware Acceleration of a CNN-based Automatic Modulation Classifier,” has been accepted for publication in the 2023 Southern Conference on Programmable Logic- SPL2023.
  70. Bethi Pardhasaradhia, Gunnery Srinatha, Ashoka Chakravarthi Mahipathia, Pathipati Sriharia, and Linga Reddy Cenkeramaddi, “A GNSS Position Spoofing Mitigation Algorithm using Sparse Estimation,” has been accepted for publication in IEEE INDICON 2022.
  71. Bethi Pardhasaradhi, Purushottama Lingadevaru, Balarami Reddy BN, Pathipati Srihari, and Linga Reddy Cenkeramaddi, “Robust Positioning and Grubbs Outlier Test for Navigation in GPS Spoofing Environment,” has been accepted for publication in IEEE INDICON 2022.
  72. Rakesh Reddy Yakkati, Pardhasaradhi Bethi, Sreenivasa reddy Yeduri, Om Jee Pandey, Linga Reddy Cenkeramaddi, “Power Transmission Line Classification From Images Using Pre-Trained Deep Learning Models,” accepted for publication in IEEE International Symposium on Smart Electronic Systems (IEEE – iSES, formerly IEEE – iNIS) 2022, 19-21 December 2022, Warangal, India.DOI: 10.1109/iSES54909.2022.00086
  73. Ajit Jha, Linga Reddy Cenkeramaddi, Santiago Royo, “Frequency Domain Analysis and Filter Design of Continuous Wave Frequency Modulated Optical Feedback Signal for Photonic Sensing,” accepted for publication in IEEE International Symposium on Smart Electronic Systems (IEEE – iSES, formerly IEEE – iNIS) 2022, 19-21 December 2022, Warangal, India.
    DOI: 10.1109/iSES54909.2022.00037
  74. Rakesh Reddy Yakkati, Anurag Gade, Balu Harshavardan Koduru, Pardhasaradhi Bethi, Linga Reddy Cenkeramaddi, “Classification of UAVs Using Time-Frequency Analysis of Remote Control Signals and CNN,” accepted for publication in IEEE International Symposium on Smart Electronic Systems (IEEE – iSES, formerly IEEE – iNIS) 2022, 19-21 December 2022, Warangal, India. DOI: 10.1109/iSES54909.2022.00014
  75. Suryateja Manikanta Chakkapalli, Srinivas Boppu, Linga Reddy Cenkeramaddi, Barathram Ramkumar, “Hand Gesture Recognition System in the Complex Background for Edge Computing Devices,” accepted for publication in IEEE International Symposium on Smart Electronic Systems (IEEE – iSES, formerly IEEE – iNIS) 2022, 19-21 December 2022, Warangal, India.DOI: 10.1109/iSES54909.2022.00016
  76. Rakesh Reddy Yakkati, Pardhasaradhi Bethi, Jing Zhou, Linga Reddy Cenkeramaddi, “A Machine Learning Based GNSS Signal Classification,” accepted for publication in IEEE International Symposium on Smart Electronic Systems (IEEE – iSES, formerly IEEE – iNIS) 2022, 19-21 December 2022, Warangal, India. DOI: 10.1109/iSES54909.2022.00116
  77. B. H. Shekar, Shazia Mannan, Habtu Hailu, C. Krishna Mohan and C. Linga Reddy, “Performance Analysis of Deep Neural Networks for Covid-19 Detection from Chest Radiographs,” has been accepted for publication in the 15th International Conference on Machine Vision (ICMV 2022).
  78. Shraddha Tripathi, Om Jee Pandey, Linga Reddy Cenkeramaddi, and Rajesh M. Hegde, “Optimal Active Elements Selection in RIS-Assisted Edge Networks for Improved QoS,” has been accepted for publication in the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop (IEEE SAM), 2022.DOI: 10.1109/SAM53842.2022.9827788
  79. Nikethan Reddy Beeram, Srinivas Boppu, and Linga Reddy Cenkeramaddi, “Activity Classification of an Unmanned Aerial Vehicle Using Tsetlin Machine,” has been accepted for publication in the First IEEE International Symposium on Tsetlin Machine (ISTM), 2022.
    DOI: 10.1109/ISTM54910.2022.00022
  80. Akhileswar Chowdary, Garima Chopra, Abhinav Kumar, and Linga Reddy Cenkeramaddi, “Impact of NOMA and CoMP Implementation Order on the Performance of Ultra-Dense Networks, ” has been accepted for publication in the IEEE Wireless Communications and Networking Conference (IEEE WCNC) 10–13 April 2022 // Austin, TX, USA. DOI: 10.1109/WCNC51071.2022.9771552
  81. Sreenivasa Reddy Yeduri, T. Uday, Sindhusha Jeeru, Abhinav Kumar, Ankit Dubey, and Linga Reddy Cenkeramaddi, “SIC-RSRA for Massive Machine-to-Machine Communications in 5G Cellular IoT,” has been accepted for publication in the IEEE Wireless Communications and Networking Conference (IEEE WCNC) 10–13 April 2022 // Austin, TX, USA.DOI: 10.1109/WCNC51071.2022.9771752
  82. Akhileswar Chowdary, Garima Chopra, Abhinav Kumar and Linga Reddy Cenkeramaddi, “Enhanced User Grouping and Pairing Scheme for CoMP-NOMA-based Cellular Networks” IEEE International Conference on COMmunication Systems and NETworkS (IEEE COMSNETS) 2022, January 3 – 9, Bangalore, India. DOI: 10.1109/COMSNETS53615.2022.9668568
  83. Wilson A N, Y. Sreenivasa Reddy, Ajit Jha, Abhinav Kumar, Linga Reddy Cenkeramaddi, “Hybrid BLE/LTE/Wi-Fi/LoRa Switching Scheme for UAV-Assisted Wireless Networks,”  IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS) 2021, 13 – 16 December, Hyderabad, India.
    DOI: 10.1109/ANTS52808.2021.9936962
  84. Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi, “Hand Gesture Classification Using Grayscale Thermal Images and Convolution Neural Network,” IEEE International Symposium on Smart Electronic Systems, 2021. DOI: 10.1109/iSES52644.2021.00035
  85. Muralidhar Reddy Challa, Abhinav Kumar and Linga Reddy Cenkeramaddi, “Face Recognition Using mmWave RADAR Imaging,” IEEE International Symposium on Smart Electronic Systems, 2021. DOI: 10.1109/iSES52644.2021.00081
  86. Jitesh Choudhary, Soumya J, and Linga Reddy Cenkeramaddi, “RAMAN: Reinforcement learning inspired algorithm for mapping applications onto mesh Network-on-Chip” 23rd ACM/IEEE International Workshop on System-Level Interconnect Pathfinding (SLIP), 2021. DOI: 10.1109/SLIP52707.2021.00019
  87. Henrik Bradland, Martin Choux and Linga Reddy Cenkeramaddi, “Point Cloud Instance Segmentation for Automatic Electric Vehicle Battery Disassembly,” Intelligent Technologies and Applications: 4th International Conference, INTAP 2021. The best paper award winning research article. https://jdconline.net/intap_2021_papers/INTAP_2021_paper_20.pdf
  88. Aparna Nair M K, Soumya J, and Linga Reddy Cenkeramaddi, “Architectural Implementation of a Reconfigurable NoC Design for Multi-Applications” 24th Euromicro Conference on Digital System Design (DSD) Palermo, Sicily, Italy, Sept. 1st – Sept. 3rd, 2021. DOI: 10.1109/DSD53832.2021.00030
  89. Y. Sreenivasa Reddy, C. Garima, D. Ankit, A. Kumar, T. Panigrahi, and L. R. Cenkeramaddi, “Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-Of-Things” 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 13-16 September 2021.” DOI: 10.1109/PIMRC50174.2021.9569424
  90. Y. Sreenivasa Reddy and Linga Reddy Cenkeramaddi, Book chapter proposal titled ‘Green Machine learning protocols for Machine-to-Machine communication‘ in the Book “Green Machine-Learning Protocols for Future Communication Networks“, to be published by CRC Press, Routledge, and Taylor & Francis Group, USA. has been accepted (2021).
  91. Rai, Prabhat Kumar; Kumar, Abhinav; Khan, Mohammed Zafar Ali; J, Soumya; Cenkeramaddi, Linga Reddy (2021). “Angle and Height Estimation Technique for Aerial Vehicles using mmWave FMCW Radar,“ The 13th IEEE International Conference on COMmunication Systems and NETworkS (IEEE COMSNETS), January 5 – 9, 2021, Bangalore, India. DOI: 10.1109/COMSNETS51098.2021.9352744
  92. Bhatia, Jyoti; Dayal, Aveen; Jha, Ajit; Vishvakarma, Santosh Kumar; J, Soumya; M. B., Srinivas; Yalavarthy, Phaneendra K.; Kumar, Abhinav; V., Lalitha; Koorapati, Sagar; Cenkeramaddi, Linga Reddy (2021). “Object Classification Technique for mmWave FMCW Radars using Range-FFT Features,“ The 13th IEEE International Conference on COMmunication Systems and NETworkS (IEEE COMSNETS), January 5 – 9, 2021, Bangalore, India. DOI: 10.1109/COMSNETS51098.2021.9352894
  93. Bhusal, Hari; Khatiwada, Pankaj; Jha, Ajit; J, Soumya; Koorapati, Sagar; Cenkeramaddi, Linga Reddy (2020). “A Self-Powered Long-Range Wireless IoT Device Based on LoRaWAN.“ 2020 6th IEEE International Symposium on Smart Electronic Systems. ISBN: 978-0-7381-4264-7. IEEE. Session 14: Energy-Efficient, Reliable VLSI Systems 2 (ERS-2). s 258 – 261. DOI: 10.1109/iSES50453.2020.00061
  94. Linga Reddy Cenkeramaddi, Jyoti Bhatia, Ajit Jha, Santosh Kumar Vishvakarma, Soumya J, “A Survey on Sensors for Autonomous Systems.“ 15th IEEE Conference on Industrial Electronics and Applications (ICIEA); 21-06-2020 – 25-06-2020, Kristiansand, Norway. DOI: 10.1109/ICIEA48937.2020.9248282
  95. Ajit Jha, Dipendra Subedi, Per-Ove Løvsland, Ilya Tyapin, Linga Reddy Cenkeramaddi, Baltasar Beferull-Lozano, Geir Hovland, “Autonomous mooring towards autonomous maritime navigation and offshore operations.“ 15th IEEE Conference on Industrial Electronics and Applications (ICIEA); 21-06-2020 – 25-06-2020, Kristiansand, Norway. DOI: 10.1109/ICIEA48937.2020.9248169
  96. Veda Bhanu P, Vibhor Govil, Jagadeesh S, Soumya J, Linga Reddy Cenkeramaddi, “Novel Fault-Tolerant Routing Technique for ZMesh Topology based Network-on-Chip Design.“ 15th IEEE Conference on Industrial Electronics and Applications (ICIEA); 21-06-2020 – 25-06-2020, Kristiansand, Norway. DOI: 10.1109/ICIEA48937.2020.9248405
  97. Veda Bhanu P, Nikita M, Soumya J, Linga Reddy Cenkeramaddi, “Fault-Tolerant Application Mapping on to ZMesh topology based Network-on-Chip Design.“ 15th IEEE Conference on Industrial Electronics and Applications (ICIEA); 21-06-2020 – 25-06-2020, Kristiansand, Norway. DOI: 10.1109/ICIEA48937.2020.9248099
  98. Henning Idsøe, Linga Reddy Cenkeramaddi, Soumya J and Baltasar Beferull Lozano, “Phase-noise Impact on the Performance of mmWave-RADARs,” IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS) 2019, 16 – 19 December, Goa, India. DOI: 10.1109/ANTS47819.2019.9117975
  99. Anders Frøytlog, Magne Haglund, Linga Reddy Cenkeramaddi and Baltasar Beferull Lozano, “Design and implementation of a long-range low-power wake-up radio and customized DC-MAC protocol for LoRaWAN,” IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS) 2019, 16 – 19 December, Goa, India. DOI: 10.1109/ANTS47819.2019.9118165
  100. Veda Bhanu P., Kulkarni P.V., Avadhanam S.P., Soumya J., Cenkeramaddi L.R. (2019) “Multi-application Based Fault-Tolerant Network-on-Chip Design for Mesh Topology Using Reconfigurable Architecture.” In: Sengupta A., Dasgupta S., Singh V., Sharma R., Kumar Vishvakarma S. (eds) VLSI Design and Test. VDAT 2019. Communications in Computer and Information Science, vol 1066. Springer, Singapore. DOI: 10.1007/978-981-32-9767-8_37
  101. Rolf Arne Kjellby, Linga Reddy Cenkeramaddi, Baltasar Beferull-Lozano, Soumya J, Anders Frøytlog, Meghana Bhange, “Long-range & Self-powered IoT Devices for Agriculture & Aquaponics Based on Multi-hop Topology,” 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 15-18 April 2019 – Limerick, Ireland. DOI: 10.1109/WF-IoT.2019.8767196
  102. Anders Frøytlog, Magne Haglund, Linga Reddy Cenkeramaddi, Thomas Jordbru, Rolf Arne Kjellby and Baltasar Beferull-Lozano, “Design and Implementation of a Long-Range Low-Power Wake-Up Radio for IoT Devices”, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 15-18 April 2019 – Limerick, Ireland. DOI: 10.1109/WF-IoT.2019.8767353
  103. Mohit Upadhyay, Monil Shah, P. Veda Bhanu, Soumya J., and Linga Reddy Cenkarmaddiy., “Multi-Application based Network-on-Chip Design for Mesh-of-Tree topology using Global Mapping and Reconfigurable Architecture,” The 32nd IEEE International Conference on VLSI Design, New Delhi, January 2019. DOI: 10.1109/VLSID.2019.00119
  104. Rolf Arne Kjellby, Linga Reddy Cenkeramaddi, Thor Eirik Johnsrud, Svein Erik Løtveit, Baltasar Beferull-Lozano and Soumya J, “Self-Powered IoT Device based on Energy Harvesting for Remote Applications,” IEEE International Conference on Advanced Networks and Telecommunication Systems (IEEE ANTS) 2018, Indore, India. DOI: 10.1109/ANTS.2018.8710171
  105. Anders Frøytlog and Linga Reddy Cenkeramaddi, “Design and Implementation of an Ultra-Low Power Wake-up Radio for Wireless IoT Devices,” IEEE International Conference on Advanced Networks and Telecommunication Systems (IEEE ANTS) 2018 Indore, India. DOI: 10.1109/ANTS.2018.8710086
  106. Thomas Jordbru, Lei Jiao and Linga Reddy Cenkeramaddi, “UDP flows in Cognitive Radios with Channel Aggregation and Fragmentation: A Test-bed Based Evaluation,” IEEE International Conference on Advanced Networks and Telecommunication Systems (IEEE ANTS) 2018 Indore, India. DOI: 10.1109/ANTS.2018.8710082
  107. Rolf Arne Kjellby, Erol Gorančić, Anders Liland, Linga Reddy Cenkeramaddi and Geir Jevne, “Smart Brewery Controller,” 4th IEEE International Symposium on Smart Electronic Systems (IEEE iSES 2018), Hyderabad, India. DOI: 10.1109/iSES.2018.00052
  108. Henning Idsøe, Linga Reddy Cenkeramaddi and Soumya Joshi, “Sensor Data Compression based on Re-Quantization of Sensor Data,” 4th IEEE International Symposium on Smart Electronic Systems (IEEE iSES 2018), Hyderabad, India. DOI: 10.1109/iSES.2018.00030
  109. Rolf Arne Kjellby, Thor Eirik Johnsrud, Svein Erik Løtveit, Linga Reddy Cenkeramaddi, Geir Jevne, Baltasar Beferull-Lozano and Soumya Joshi, “Design and Prototype Implementation of Longrange Self-powered Wireless IoT Device,” 4th IEEE International Symposium on Smart Electronic Systems (IEEE iSES 2018), Hyderabad, India. DOI: 10.1109/iSES.2018.00054
  110. Rolf Arne Kjellby, Thor Eirik Johnsrud, Svein Erik Løtveit, Linga Reddy Cenkeramaddi, Geir Jevne, Baltasar Beferull-Lozano, Soumya Joshi and Anders Frøytlog, Thomas Jordbru and Meghana Bhange, “Design, Development and Deployment of Low-cost Short-range Self-powered Wireless IoT Devices,” 4th IEEE International Symposium on Smart Electronic Systems (IEEE iSES 2018), Hyderabad, India. DOI: 10.1109/iSES.2018.00031

  111. Asheesh Bhuria, Ashish Goyal, Linga Reddy Cenkeramaddi, M.B. Srinivas and Soumya J, “Design of Software and Data Analytics for Self-powered Wireless IoT Devices,” 4th IEEE International Symposium on Smart Electronic Systems (IEEE iSES 2018), Hyderabad, India. DOI: 10.1109/iSES.2018.00034
  112. Mohit Upadhyay, Monil Shah,P. Veda Bhanu, Soumya J.,  Linga Reddy Cenkarmaddi, and Henning Idsøe, “A Novel Fault-Tolerant Routing Technique for Mesh-of-Tree Based Network-on-Chip Design”, IEEE Region 10 International Conference (IEEE TENCON),  Jeju Island, Korea, October 2018. DOI: 10.1109/TENCON.2018.8650056
  113. P. Veda Bhanu, Pranav Venkatesh Kulkarni, Soumya J., Linga Reddy Cenkarmaddi, and Henning Idsøe, “Fault-Tolerant Network-on-Chip Design for Mesh-of-Tree Topology Using Particle Swarm Optimization”, IEEE Region 10 International Conference (IEEE TENCON), Jeju Island, Korea, October 2018. DOI: 10.1109/TENCON.2018.8650346
  114. Monil Shah, Mohit Upadhyay, Veda Bhanu P, Soumya J, and Linga Reddy Cenkeramaddi, “A Novel Fault-Tolerant Routing Algorithm for Mesh-of-Tree based Network-on-Chips,” 22nd International Symposium on VLSI Design and Test (VDAT), June 2018. DOI: https://doi.org/10.1007/978-981-13-5950-7_38
  115. P. Veda Bhanu, Pranav Kulkarni, Soumya J, Linga Reddy Cenkarmaddi, and Henning Idsøe, “Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement,” 14th Conference on PhD Research in Microelectronics and Electronics (IEEE PRIME), July 2018. DOI: 10.1109/PRIME.2018.8430343
  116. Mohit Upadhyay, Monil Shah, P. Veda Bhanu, Soumya J, Linga Reddy Cenkeramaddi, “Fault tolerant Routing Methodology for Mesh-of-Tree based Network-on-Chips using Local Reconfiguration” International Workshop on High Performance and Dynamic Reconfigurable Systems and Networks (DRSN), July 2018. DOI: 10.1109/HPCS.2018.00096
  117. Rolf Arne Kjellby, Thor Eirik Johnsrud, Svein Erik Løtveit, Linga Reddy Cenkeramaddi, Mohamed Hamid and Baltasar Beferull-Lozano, “Self-Powered IoT Device for Indoor Applications”, IEEE Embedded VLSID 2018. DOI: 10.1109/VLSID.2018.110
  118. Linga Reddy Cenkeramaddi, “Feedback Biasing based Adjustable Gain Ultrasound Preamplifier for CMUTs in 45nm CMOS”, IEEE Embedded VLSID 2018. DOI: 10.1109/VLSID.2018.63
  119. Henning Idsøe, Mohamed Hamid, Linga Reddy Cenkeramaddi, Thomas Jordbru and Baltasar Beferull-Lozano, “Experimental Validation for Spectrum Cartography using Adaptive Multi-Kernels”, IEEE ICSPCS 2017. DOI: 10.1109/ICSPCS.2017.8270459
  120. Thomas Jordbru, Mohamed Hamid, Linga Reddy Cenkeramaddi, Henning Idsøe, Baltasar Beferull-Lozano, “Implementation of a Two Stage Fully-Blind Self-Adapted Spectrum Sensing Algorithm,” IEEE ICSPCS 2017. DOI: 10.1109/ICSPCS.2017.8270477
  121. H. Idsøe, M. Hamid, T. Jordbru, L. R. Cenkeramaddi and B. Beferull-Lozano, “Spectrum cartography using adaptive radial basis functions: Experimental validation.” IEEE SPAWC 2017. DOI: 10.1109/SPAWC.2017.8227752
  122. T. Jordbru, H. Idsøe, L. R. Cenkeramaddi, B. Beferull-Lozano and M. Hamid. “Radio measurements on a customized software defined radio module: A case study of energy detection spectrum sensing.” IEEE I2MTC 2017. DOI: 10.1109/I2MTC.2017.7969681
  123. Cenkeramaddi, L.R.; Larsen, R.T.V.; Johnsen, R.; Haglund, M.A., “Mixed signal system design (A project based course),” Microelectronics Education (EWME), 10th European Workshop on , vol., no., pp.58,61, 14-16 May 2014. DOI: 10.1109/EWME.2014.6877395
  124. C. Linga Reddy et. al. “Low-energy CZT detector array for the ASIM mission.” 2012 IEEE International Instrumentation and Measurement Technology Conference, Graz, Austria, May 13-16, 2012. DOI: 10.1109/I2MTC.2012.6229184
  125. Y. Skogseide, C. Linga Reddy, et.al. “BGO Front-End Electronics and Signal Processing in the MXGS Instrument for the ASIM Mission.” 2012 IEEE International Instrumentation and Measurement Technology Conference, Graz, Austria, May 13-16, 2012. DOI: 10.1109/I2MTC.2012.6229186
  126. C. Linga Reddy and Trond Ytterdal, “Nanoscale CMOS analog design for medical ultrasound imaging,” 1st annual workshop 2010, Norwegian PhD network on nanotechnology for microsystems. DOI: 10.1109/ICSICT.2008.4734887
  127. C. Linga Reddy, Tajeshwar Singh and Trond Ytterdal, “Inverter-based 1V Transimpedance Amplifier in 90nm CMOS for Medical Ultrasound Imaging,” IEEE NORCHIP – 2009. DOI: 10.1109/NORCHP.2009.5397856
  128. C. Linga Reddy and Trond Ytterdal, “1V Transimpedance Amplifier in 90nm CMOS for Medical Ultrasound Imaging,” IEEE NORCHIP – 2009. DOI: 10.1109/NORCHP.2009.5397833
  129. Yamaner, Yalçın Feysel and Cenkeramaddi, Linga Reddy et. al., “Front-end IC design for intravascular ultrasound imaging”, PhD. Research in Microelectronics and Electronics, PRIME 2008., Boğaziçi Un’versity, Istanbul. DOI: 10.1109/RME.2008.4595774
  130. Ayhan Bozkurt, C. Linga Reddy, F.Yalcin Yamaner and Trond Ytterdal, “A Low Noise Capacitive Feedback Analog Front-end for cMUT based IVUS: Experimental Results,” 7th International workshop on Micromachined Ultrasonic Transducers, May 8-9, 2008. DOI: 10.1109/ULTSYM.2007.539
  131. B.B.Larsen and C. Linga Reddy, “Mixed Signal IC Design”, 7th European workshop on Microelectronics Education (EWME-2008), May 28 – 30, 2008.
  132. C. Linga Reddy, Ayhan Bozkurt, Yalacin Yamaner and Trond Ytterdal, “A Low Noise Capacitive Feedback Analog Front-end for CMUTs in IVUS Imaging,” IEEE Ultrasonics Symposium, 2007. DOI: 10.1109/ULTSYM.2007.539
  133. B.B.Larsen, C. Linga Reddy and Jukka Typpo, ”Readout and Control Circuit for a Four Pixel Digital Camera as Semester Project,” IEEE International Conference on Microelectronic System Education, June 2-4, 2007. DOI: 10.1109/MSE.2007.72
  134. Ayhan Bozkurt, F.Yalcin Yamaner and C. Linga Reddy, ”IC Design for 2D cMUT Arrays: High voltage CMOS Design Issues, Experimental Results and New Amplifier Topologies,” 6th International workshop on Micromachined Ultrasonic Transducers, May 25-27, 2007.
  135. C. Linga Reddy and Trond Ytterdal, ”Analysis and Design of a 1V Charge Sampling Readout Amplifier in 90nm CMOS for Medical Imaging,” IEEE VLSI-DAT, April 25-27, 2007. DOI: 10.1109/VDAT.2007.373212
  136. C. Linga Reddy, Tajeshwar Singh and Trond Ytterdal, ”Self-biased Charge Sampling Amplifier in 90nm CMOS for Medical Ultrasound Imaging,” IEEE GLSVLSI, March 11-13, 2007. DOI: 10.1145/1228784.1228828
  137. C. Linga Reddy and Trond Ytterdal, ”Jitter Analysis of General Charge Sampling Amplifiers,” IEEE ISCAS, 2006. DOI: 10.1109/ISCAS.2006.1693821
  138. Thomas Halvorsrød, C. Linga Reddy, Arne Rønnekleiv and Trond Ytterdal, “A Discrete Time µBeamformer for CMUT Arrays – Behavioral Simulations Using SystemC,” IEEE Ultrasonics Symposium, 2005. DOI: 10.1109/ULTSYM.2005.1602900
  139. Kumar M.J. and C. Linga Reddy, “A New dual-band gap SiC-on-Si P-emitter, SiGe N-base, lateral Schottky Metal-collector (PNM) HBT on SOI with reduced collector-emitter offset-voltage,” IEEE TENCON 2003. DOI: 10.1109/TENCON.2003.1273371

Patents:

1. A METHOD AND SYSTEM FOR FABRICATING A NOVEL PRESSURE SENSOR USING FBG SENSOR, Australian Patent Application No.: 2021106713; Effective Date: 24-08-2021; Inventors: Vaddadi VenkataSatya Chidambara Swamy, Saidi Reddy Parne, Vijeesh V. P., Damodar Reddy Edla, and Linga Reddy Cenkeramaddi.

2. Koduru Hazarathaiah, Murali Krishna Enduri, Sateeshkrishna Dhuli, Satish Anamalamudi, Linga Reddy Cenkeramaddi, ”Systems and Methods for identifying influential people in social networks”, Indian Patent 202241074988, Publication date 23/12/2022.

3. Koduru Hazarathaiah, Murali Krishna Enduri, Sateeshkrishna Dhuli, Satish Anamalamudi, Linga Reddy Cenkeramaddi, ”Systems and Methods for identifying influential people in complex networks”, Indian Patent 202241075862, Publication date 27/12/2022.

Technical Reports:

  1. A. Kumar and L. R. Cenkeramaddi,1st Indo-Norway Workshop on unmanned Aerial Vehicles (IN-WAVE) April 30th, 2021 – May 2nd, 2021, Workshop Report, April-May 2021.
  2. M. J. Kumar and L. R. Cenkeramaddi, Realizing Wide Bandgap P-SiC-emitter LateralHeterojunction Bipolar Transistors with low collector-emitter offset voltage and high current gain- A novel proposal using numerical simulation, arXiv [cond-mat.mes-hall]. 2010.