Working with Prof. Kin Leung and Dr. Stefan Vlaski on AI for Physical Layer.

Student: Vikas Devannagari (M.Tech.)Supervisor: Dr. Sheetal KalyaniTopic: Neural decoder at the edge with ensembled BNNStudent: Akshay Sharma (M.S.)Supervisor: Dr. Sheetal KalyaniTopic: A Bayesian method for Computation Efficient Angle of Arrival EstimationStudent: Deepsayan Sadhukhan (M.S.), Nitin Priyadarshini Shankar (Ph.D.)Supervisor: Dr. Sheetal KalyaniTopic: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge… Show more Student: Vikas Devannagari (M.Tech.)Supervisor: Dr. Sheetal KalyaniTopic: Neural decoder at the edge with ensembled BNNStudent: Akshay Sharma (M.S.)Supervisor: Dr. Sheetal KalyaniTopic: A Bayesian method for Computation Efficient Angle of Arrival EstimationStudent: Deepsayan Sadhukhan (M.S.), Nitin Priyadarshini Shankar (Ph.D.)Supervisor: Dr. Sheetal KalyaniTopic: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge with Binarized ResNet Show less

Topic: Energy Efficient Machine Learning methodsSupervisor: Dr. Sheetal KalyaniBelow are the project I have worked on as part of the PhD programme. (i) Proposed a Hedge based online collaborative spectrum sensing method for energy-efficient IoT network (ii) Proposed a Reinforcement Learning based solution for blind beam alignment (iii) Studied different Compression Techniques for deep neural networks Proposed Rotated ReLU … Show more Topic: Energy Efficient Machine Learning methodsSupervisor: Dr. Sheetal KalyaniBelow are the project I have worked on as part of the PhD programme. (i) Proposed a Hedge based online collaborative spectrum sensing method for energy-efficient IoT network (ii) Proposed a Reinforcement Learning based solution for blind beam alignment (iii) Studied different Compression Techniques for deep neural networks Proposed Rotated ReLU Compressing deep networks for MIMO detection (iv) Studied Binary Neural Networks and proposed their application in Wireless Communication (v) Proposed a SMBO based method for Computation Efficient Angle of Arrival Estimation (vi) A study on finding optimal number of layers for unfolding deep learning algorithms Show less

Principle Investigator: Dr. Sheetal KalyaniCollaboration with Dr. Himal Suraweera, Proposed a CSI oblivious two-stage deep reinforcement learning approach for the Beamforming, Phase Shift and Power Optimization of the Reconfigurable Intelligent Surface as a step towards Beyond 5G communication

Machine Learning (EE5180)Instructor: Dr. Sheetal Kalyani Period: Spring'22 Estimation Theory (EE5111, EE5111W)Instructor: Dr. Sheetal Kalyani Period: Spring'21, Spring'20, Spring'19, Qualcomm-Spring'21 Digital Modulation and Coding (EE5140) Instructor: Dr. Sheetal KalyaniPeriod: Fall'21, Fall'20Linear Algebra (EE5120) Instructor: Dr. Venkatesh Ramaiyan Period: Fall'19Signal and System (EE1101) Instructor: Dr. Krishna… Show more Machine Learning (EE5180)Instructor: Dr. Sheetal Kalyani Period: Spring'22 Estimation Theory (EE5111, EE5111W)Instructor: Dr. Sheetal Kalyani Period: Spring'21, Spring'20, Spring'19, Qualcomm-Spring'21 Digital Modulation and Coding (EE5140) Instructor: Dr. Sheetal KalyaniPeriod: Fall'21, Fall'20Linear Algebra (EE5120) Instructor: Dr. Venkatesh Ramaiyan Period: Fall'19Signal and System (EE1101) Instructor: Dr. Krishna JagannathanPeriod: Spring'18 Show less

RF Optimization:Job profile includes maintaining good Network condition which includes 2G, 3G, 4g and good KPI in Hyderabad cluster by conducting dense drive, major route drive,SCFT(new site optimization) and handling network issue at NEB EBU accounts,

To know how the network is working and to cure the problems if the network is facing any

Designed a LabVIEW application that controls an oscilloscope remotely to collect data, save and analyze.Supervisor: Dr. Anne Dabrowski

Analyzed lumped and distributed circuit using MATLAB and designed high frequency cavity coupled band pass filter using CST Microwave Studio.Supervisor: Dr. Hemendra Kumar Pandey