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INCAPS – 2nd Indo-Norway Workshop on Smart Sensing, Communication and Machine Learning for Autonomous and Cyber Physical Systems (IN-SSCOM) 14-16 October 2022

INCAPS – 2nd Indo-Norway Workshop on Smart Sensing, Communication and Machine Learning for Autonomous and Cyber Physical Systems (IN-SSCOM) from Oct 14, 2022 to Oct 16, 2022 (3 day workshop) is organized at Indian Institute of Technology Hyderabad (IITH) in Hybrid mode. This workshop is an outcome of the multiple ongoing collaborations between Indian Institute of Technology Hyderabad (IITH), India, and University of Agder (UiA), Norway. This includes the Department of Science and Technology (International Bilateral Cooperation Division), Government of India and the Norwegian Research council funded project, Low Altitude UAV Communication and Tracking (LUCAT), and the Norwegian Research council and the Diku (the Norwegian agency for international cooperation and quality enhancement in higher education) funded project, the Indo-Norwegian collaboration in Autonomous Cyber-Physical Systems (INCAPS). There exists an MoU between IITH and UiA to further promote this research and collaboration. Through IN-SSCOM 2022, we aim to bring together researchers, industries, and practitioners to present and discuss their latest achievements and innovations in the areas of Smart Sensing, Communications and Machine Learning for Autonomous Cyber-Physical Systems. The workshop will be an experience sharing forum and we expect to attract a good mix of academic, industry researchers, practitioners, and students working in this area.

The Indo-Norwegian collaboration in Autonomous Cyber-Physical Systems (INCAPS) aims to establish long-term collaboration between highly reputed Indian universities which include Indian Institute of Science (IISc), Bangalore, Indian Institute of Technology Hyderabad (IITH), International Institute of Information Technology Hyderabad (IIITH) and Birla Institute of Technology and Science (BITS), Hyderabad and Norwegian universities, University of Agder (UiA), Norwegian University of Science and Technology (NTNU) and Norwegian Institute for Water Research (NIVA) in world-class research and education. INCAPS considers broad areas of research which include smart sensing for autonomous cyber physical systems, mmWave sensor-based system design, de-centralized wireless communications, in-network processing and intelligence for heterogeneous wireless sensor and communication networks, machine learning and deep learning for autonomous systems, data analytics, energy harvesting based smart electronic systems, smart water networks and inference methods for timely detection and prediction, cognitive control and adaptive learning in autonomous cyber-physical systems.

The key objectives of the INCAPS project are to: I). Strengthen collaborative network between industry (both public and private enterprises, small and medium-sized enterprises, and multi-national companies) and academia. II). Increased value creation and enhanced innovation by using smart sensing, machine, and deep learning techniques in autonomous cyber-physical systems. III). Facilitate education and knowledge sharing through better mobility for students and researchers. IV). Create an arena for the generation of research and innovation projects. V). Increased utilization of research and educational infrastructure both in Norway and India. VI). Integrate professionals from industries and academics through workshops, seminars, webinars, and summer/winter schools.

1st Indo-Norway Workshop on unmanned Aerial VEhicles (IN-WAVE): April 30th, 2021 – May 2nd, 2021

The 1st Indo-Norway Workshop on unmanned Aerial VEhicles (IN-WAVE) from April 30, 2021 to May 2, 2021 (3 day workshop) is organized in a virtual mode. This workshop is an outcome of the multiple ongoing collaborations between Indian Institute of Technology Hyderabad (IITH), India, and University of Agder (UiA), Norway. This includes the Department of Science and Technology (International Bilateral Cooperation Division), Government of India and the Norwegian Research council funded project, Low Altitude UAV Communication and Tracking (LUCAT), and the Norwegian Research council and the Diku (the Norwegian agency for international cooperation and quality enhancement in higher education) funded project, the Indo-Norwegian collaboration in Autonomous Cyber-Physical Systems (INCAPS). There exists an MoU between IITH and UiA to further promote this research and collaboration. Through IN-WAVE 2021, we aim to bring together researchers, industries, and practitioners to present and discuss their latest achievements and innovations in the area of UAV Communication and Tracking. The workshop will be an experience sharing forum and we expect to attract a good mix of academic, industry researchers, practitioners, and students working in this area.

The Indo-Norwegian collaboration in Autonomous Cyber-Physical Systems (INCAPS) aims to establish long-term collaboration between highly reputed Indian universities which include Indian Institute of Science (IISc), Bangalore, Indian Institute of Technology Hyderabad (IITH), International Institute of Information Technology Hyderabad (IIITH) and Birla Institute of Technology and Science (BITS), Hyderabad and Norwegian universities, University of Agder (UiA), Norwegian University of Science and Technology (NTNU) and Norwegian Institute for Water Research (NIVA) in world-class research and education. INCAPS considers broad areas of research which include smart sensing for autonomous systems, mmWave sensor-based system design, de-centralized wireless communications, in-network processing and intelligence for heterogeneous wireless sensor and communication networks, machine learning and deep learning for autonomous systems, data analytics, energy harvesting based smart electronic systems, smart water networks and inference methods for timely detection and prediction, cognitive control and adaptive learning in autonomous cyber-physical systems.

The key objectives of the INCAPS project are to: I). Strengthen collaborative network between industry (both public and private enterprises, small and medium-sized enterprises, and multi-national companies) and academia. II). Increased value creation and enhanced innovation by using smart sensing, machine, and deep learning techniques in autonomous cyber-physical systems. III). Facilitate education and knowledge sharing through better mobility for students and researchers. IV). Create an arena for the generation of research and innovation projects. V). Increased utilization of research and educational infrastructure both in Norway and India. VI). Integrate professionals from industries and academics through workshops, seminars, webinars, and summer/winter schools.

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,” has been accepted for publication in the IEEE Sensors Journal (2022).

Venkata Satya Chidambara Swamy Vaddadi, Saidi Reddy Parne, Vijeesh V. P., Suman Gandi, Saran Srihari Sripada Panda and Linga Reddy Cenkeramaddi, “Design and Fabrication of Liquid Pressure Sensor using FBG Sensor through Seesaw Hinge Mechanism,” has been accepted for publication in IEEE Photonics Journal (2022).

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 ACM Transactions on Design Automation of Electronic Systems (2022).

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).

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,” has been accepted for publication in IEEE Sensors Journal (2022).

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” has been accepted for publication in MDPI Electronics (Advanced Design Techniques and EDA Methodologies for Analog, RF and MM-Wave Circuit Design) 2022.

1. 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.
2. 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.

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,” has been accepted for publication in IEEE Transactions on Network and Service Management (2022).

Video Content Analysis, Computer Vision, Pattern Recognition, Machine Learning, Deep Learning (VIGIL)

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