Microwave Engg. Applications, Communication Engg.
Machine Learning in Wireless Communication, Low complexity Security solutions for IoT
Low Power VLSI Circuit Design, Digital IC design, Embedded System Design Applications, Disease Diagnosis in Human beings using Voice Profiling,
Digital Signal Processing, Digital Communication, Signals and Systems, Information and Coding Theory
Current Interest: Communication engineering, Image Processing,Signal processing, Optical communication, Audio visual Engg..
Communication Systems, Signal Processing, Neural Networks, Image Processing
Signal and Image Processing, Signal Processing in Control Systems, Wavelets in Control Systems, Satellite Image Processing, Image Fusion, Data Fusion, Biomedical signal processing, Renewable energy, Sensors, Cyber physical systems
wireless communications, cognitive radio, mobility management issues,D2D communication, and mm wave communication
Wireless and Mobile Communication, Computer Networks, Ad-hoc & Wireless Sensor Networks, Network & Information Security, Internet of Things, Co-operative Communication, Next Generation Wireless Networks
Wireless Communication Systems:, MIMO, OFDM, MIMO-OFDM systems, and massiveMIMO. Digital Signal and Image Processing, Optical Communication, Antenna and Wave Propagation.
Digital Signal Processing, Digital Communication, Microwave Engg.,Optical Communication.
Current area of research : Internet of Things (IoT/IoV), Deep learning/ ML/ AI, Wireless Sensor, Network (WSN) & challenges, Optimisation Techniques/ Game Theory, Wireless Network, CRN
and Vertical Handover Issues
VLSI Design, Spintronics based MTJs, Microelectronics, Molecular Engineering of 2D materials, Energy Storage Applications (ion-batteries and hydrogen storage), Computational Study of 2D Materials Based Nano-Devices.
Web Page: https://meenashweta.github.io/
Wireless Network Security, Cryptography, Physical Layer Security, Wireless Communication, IoT security
Wireless Communication, Cognitive Radio
Students who would like to purse Ph.D. or any research-oriented work with me, are always welcome. Microelectronics, Nanoscale VLSI Devices, Low Power VLSI Design
Reversible logic Synthesis, Quantum-dot Cellular Automata (QCA), Fault Tolerant Architecture, Embedded System Design Applications, Low power VLSI design, Reconfigurable computing. Students who would like to pursue Ph.D. or any research-oriented work with me, are always welcome.
Cognitive Radio Networks, NOMA, Digital communication, Microwave engg., Wireless sensor networks, Wireless Communications, MIMO Systems, Next generation of communication systems and IoT.
Low power and low temperature VLSI design, device circuit co-design in digital/analog domain, device modeling of multigate semiconductor devices.
GATE qualified students who would like to purse Phd or any research-oriented work under me, are always welcome. I take PhD students from both ECE Dept. and School of VLSI. My updated profile can be accessed from google scholar.
Cryptographic Boolean Functions, Stream Ciphers, Algebraic Attack, Information Theory and Coding, Error Control Coding, Digital Signal Processing
Fiber Optics, Optical Signal Processing, Microwave Photonics, Multimode Photonics, Fiber Mode Locked Lasers (Active/Passive), Optical Communication Systems, Design of optical Amplifiers for WDM Networks.
For more details please visit personal homepage: https://sites.google.com/view/karamdeep-singh/home
Digital Signal Processing
Digital Signal and Image Processing, Computer Vision, Machine Learning and Artificial Intelligence, Biomedical Signal Processing,
Context awareness, Image processing, Bio-Medical Signal Processing, Speech Processing, Signal Processing for IoT and Applied Machine Learning.
VLSI Design: Nano-electronics Devices, Thin films transistors, Semiconductor Device and circuits. Device Modeling: MOS Devices Modeling and Numerical simulation analysis of Semiconductor devices Electrical Characterization of semiconductor devices in MHz and THz frequency ranges. Circuit Design: Ultra Low Power SRAM / DRAM / RRAM based Memory Circuit Design from Devices to Array Architecture using CMOS and Advanced CMOS Devices technologies. Machine Learning in Semiconductor device/circuit-based application in research.