Two journal articles have been accepted. One in the Elsevier Pervasive and Mobile Computing Journal and the other one in the IEEE Photonics Journal.

Yeduri Sreenivasa Reddy, Abhinav Kumar , Om Jee Pandey, and Linga Reddy Cenkeramaddi, “Spectrum Cartography Techniques, Challenges, Opportunities, and Applications: A Survey” has been accepted for publication in the Elsevier Pervasive and Mobile Computing Journal.

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,” has been accepted for publication in the IEEE Photonics Journal.

The paper titled “Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System using Multiscale Deep CNN,” has been accepted for publication in the IEEE Sensors Journal (2021).

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,” has been accepted for publication in the IEEE Sensors Journal (2021).

Two papers are accepted in IEEE iSES 2021.

Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi, “Hand Gesture Classification Using Grayscale Thermal Images and Convolution Neural Network,” has been accepted in IEEE International Symposium on Smart Electronic Systems, 2021.

Muralidhar Reddy Challa, Abhinav Kumar and Linga Reddy Cenkeramaddi, “Face Recognition Using mmWave RADAR Imaging,” has been accepted in IEEE International Symposium on Smart Electronic Systems, 2021.

The Best Master’s Thesis in Information and Communication Technologies – 2021

The thesis titled “Hand Gestures Recognition using Thermal Images” done by the master student, Daniel Skomedal Breland under the supervision Prof. Linga Reddy Cenkeramaddi has been awarded the best master thesis in ICT for the year 2021.

Hand Gestures Recognition using Thermal Imaging.

The goal of this project is to develop a robust and reliable hand gesture recognition system using a thermal camera. Hand gestures are an important communication tool for many practical scenarios. It is used in a variety of applications, including medical, entertainment, and industrial settings. The use of human-robot interactions is growing, and there exists several methods. It is possible to gain access to tight and harsh places by using gestures. The majority of gesture recognition is done with RGB cameras, which has the disadvantage of not being able to recognize gestures in low-light situations. Thermal cameras can operate in low-light environments because they are unaffected by external light.

The article titled, “RAMAN: Reinforcement learning inspired algorithm for mapping applications onto mesh Network-on-Chip” has been accepted for publication at 23rd ACM/IEEE International Workshop on System-Level Interconnect Pathfinding (SLIP), 2021.

Jitesh Choudhary, Soumya J, and Linga Reddy Cenkeramaddi, “RAMAN: Reinforcement learning inspired algorithm for mapping applications onto mesh Network-on-Chip” has been accepted for publication at the 23rd ACM/IEEE International Workshop on System-Level Interconnect Pathfinding (SLIP), 2021.