Areas of expertise

  • Communications Systems


BE in Electronics & Communications Engineering, Visveswaraya Technological University "VTU", Bangalore, India, 2007

MS in Electrical Engineering (Major in RF & Microwave Engineering), The University of Texas at Dallas "UTD", USA, 2010

Graduate Research Assistant, TxACE (Texas Analog Centre for Excellence), UTD, Richardson, Texas, USA, 2010

R&D Engineering Intern RF Power Amplifier, Nokia Siemens Networks, Irving, Texas, USA, 2009 & 2010

RF Design Engineer 2, Skyworks Solutions Inc., Cedar Rapids, Iowa, USA, 2011 & 2012

RF Systems Design Engineer, Samsung Research America - Dallas (SRA-D), Plano, Texas, USA, 2013

Senior Engineer 3 RF Power Amplifier & RF Hardware Applications, Qualcomm, San Diego, California, USA, 2014

Ph.D. Research Assistant, RAPID 5G EU-H2020 Japan 5GPP (Brussels/Tokyo), 2015, 2016, 2017, 2018 & 2019

Ph.D. Electronic Engineering, The University of Kent, Canterbury, Kent, England, 2019

Research Associate, 5G DRIVE EU-H2020 China IMT 2020 (Brussels/Beijing), 2019 & 2020

Senior Research Associate & RF Transceiver Architect SWAN EPSRC-UKRI Prosperity Partnership Project, The University of Bristol, England, 2020, 2021 & 2022

Research Fellow Positioning, Navigation & Timing, Cranfield University, England, 2023

Research opportunities

My current research is in Positioning, Navigation, Timing & Machine Learning [PNT] Technologies in the School of Aerospace, Transportation & Manufacturing [SATM]. My research also spans the intersection of RF Power Amplifier [PA]/RF Circuit Design, Wireless Communication Systems & Applied Machine Learning for RF Communications, Waveform/Intrusion Detection, PA & Inverse PA Design, Cyber-PHY Systems & Inverse Design of Wireless Systems.

Current activities

Top Skills:

Power Amplifier Design * LNA Design * RFIC Design * PDKs [RFCMOS/GaAs HBT/LDMOS] & Non Linear Models [GaN on SiC] * Microwave Passive Components & Substrate Integrated Waveguide [SIW] Design * RF Filter Design * RF-Digital Signal Processing [RF-DSP] * Electromagnetic Propagation & Computational Electromagnetics * Physical & Integrated Optics

5G [Resource Allocation & Signal Processing] * Massive MIMO * Cell Free Massive MIMO * Hybrid Beamforming * Channel Modelling * Channel Estimation * NOMA [Non-Orthogonal Multiple Access] * C-V2X * mm-wave V2I * Resource Allocation Algorithms * Optimization Algorithms for Stochastic Processes * Non-Convex Optimization * ADC/DAC Informed Quantization Algorithms * Genetic & Evolutionary Algorithms * Radar Signal Processing * [ML] for Positioning/Localization, Navigation & Timing/Synchronization [PNT] & Sensor Fusion [RF/Radar/LiDAR/Inertial Navigation/Visual Odometry] * Joint Communications & Sensing * SLAM [Simultaneous Localization & Mapping]

Machine Learning & Deep Neural Networks [DNNs] in RF-Communications [RFML] & Waveform Analysis * CART [Classification, Regression & Trees] * Support Vector Machines [SVMs] * Generative Adversarial Nets [GANs] * Reinforcement Learning * Recurrent Neural Networks [RNNs] & Long Short Term Memory [LSTM] Models * Dynamic Time Series Prediction/Forecasting * Autoencoders for E2E Modelling of Communication Systems * LSTMs * Bayesian Neural Networks [BNNs] * ML Reinforced Adaptive & Extended [A/EKF] Kalman Filters for PNT/Tracking * Computer Vision


Articles In Journals

Conference Papers