Programme: Research [Ph D / M Tech (Research)]
BASIC QUALIFICATION FOR ELIGIBILITY:
BE/B Tech or equivalent degree in Electronics and Communication Engineering, Electrical Engineering, Computer Science and Engineering, Information Science/Technology, Instrumentation Engineering, Mechanical Engineering, Mechatronics, Telecommunication, or M Sc or equivalent degree in Physics, Mathematics, Statistics, Electronics, Computer Science or Photonics or Master’s in Computer Applications or Graduates of 4-year Bachelor of Science programmes.
Areas of Research:
Power Electronics: Multi Level Inverters, PWM Techniques, Alternate Energy Systems – Micro Hydel, Grid Connection, Zero Energy Building, DC and AC Microgrids, Legged Locomotion, Dynamic Magnetics, Bondgraph Modelling.
Networked Systems: Communication Networks, Cyber-Physical Systems, Networked Embedded Systems, Data Center Networks, Cloud Computing, Software-Defined Networking and Network Functions Virtualization, IoT Data Management, Distributed Machine Learning over Networks, Information-Theoretic Security, Energy Harvesting Systems, Information Centric Networking, Network Economics, Network Science.
Signal and Information Processing: Information Theory, Coding and Signal Processing for Physical Nano-memories, Quantum Information Processing, Mathematical Biology and Applications, VLSI Systems Architecture, Novel Memory Architectures, Algorithms and Architectures for High-Performance, Complex Systems Engineering.
Microelectronic, Nanoelectronics& Solid State Physics: Exploration of novel 2D materials (MoS2, WS2, WSe2, MoSe2, Phosphorene, etc) for electronic, neuromorphic and opto-electronic applications; Non-classical transistor design, characterization, fabrication and modelling; Carbon nanotube and Graphene transistor design, fabrication and characterization; Neuromorphic Memory using Novel Materials, Exploring quantum phenomena like electron – phonon transport, electron transport, light – matter interaction, 1/f noise, quantum chemistry of contacts, etc; Gallium Nitride, Gallium Oxide, Diamond, Silicon, SiC based RF and Power Semiconductor Device design, fabrication, characterization and modelling. Reliability Physics of Semiconductor devices.
Microsystems, Sensors, and Biomedical Devices: Flexible sensors, Microsensors, Microfluidic Devices, Microelectro-mechanical Systems, Cancer Diagnosis Tools, Biomedical Devices, E-Nose, Biosensors, E-Skin, Lab-on-Chip Systems, Additive and Advanced Manufacturing, Micro- and Nanomaterials Neuromorphic VLSI design: analog/digital IC design, ASIC/FPGA VLSI design, Neuromorphic engineering, Brain-inspired algorithms, machine learning, event-based sensors, Neuroprosthetics, Probabilistic circuit design.