Signal Processing and Communication Engineering

● Biomedical Signal Processing
Biomedical Signal Denoising and Artifact Removal, Brain–Computer Interface (BCI), Wearable Health Devices, Blood Pressure Estimation, Cardiovascular Health Monitoring, Epilepsy and Seizure Detection, Neurodegenerative Disease Monitoring, Voice and Speech Signal Processing for Healthcare, Healthcare AI & ML Systems (Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)

● Speech Signal Processing
Speech Enhancement & Noise Reduction, Automatic Speech Recognition (ASR), Speech Synthesis & Text-to-Speech (TTS), Speaker Recognition & Verification, Speech Emotion Recognition, Speech and Language Processing for Health & Assistive Technologies, Multimodal Speech Processing (Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)

● Audio Signal Processing
Music Processing, Environmental Sound Processing, Audio Enhancement & Restoration, Spatial Audio & 3D Sound Processing, Audio Compression & Coding, Machine Learning & Deep Learning in Audio, Biomedical Audio Processing, Audio-Based Human-Computer Interaction (HCI) ((Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)

● Image and Video Processing
Image Enhancement and Restoration, Image Segmentation, Object Detection and Recognition, Image Compression and Coding, Video Processing and Analysis, Image and Video Forensics, Image and Video Understanding, Remote Sensing and Aerial Image Processing, Medical Image Processing (Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)

● Graph Signal Processing
Graph Spectral Theory and Transforms, Graph Filters and Convolutions, Graph Learning and Estimation, Graph-Based Deep Learning, Graph-Based Image and Video Processing, Graph Signal Processing for Neuroscience and Brain Connectivity (Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)

● Computer Vision
Edge detection and contour analysis, Face recognition and biometrics, Pedestrian detection in autonomous driving, Medical Image Analysis, 3D Vision and Depth Estimation, Generative Models and Image Synthesis, Motion Analysis and Video Processing, Multimodal Learning and Vision-Language Models (Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)

● Machine Learning and Deep Learning Applications in Signal Processing
Time-Frequency Analysis & Signal Representation, Learning-based adaptive time-frequency transforms for non-stationary signals, Deep learning for sparse signal representation and compressed sensing, Data-driven dictionary learning for signal reconstruction, Self-supervised learning for signal denoising in time-frequency domains, Radar & Sonar Signal Processing, Fusion of physiological and behavioral signals using deep learning, Graph signal processing on multimodal brain networks (Niladri. B. Puhan, Barathram Ramkumar, Himanshu Padole, Nitya Tiwari)
Communication Engineering
● Wireless sensor networks (WSN) and Internet of Things (IoT)
Low-power wide-area networks, direct-to-satellite IoT, cooperative communications for WSNs, redundancy transmission protocols for reliability enhancement of IoT communications (Siddhartha S. Borkotoky)

● Applied coding theory
Rateless codes; computationally efficient coding techniques for WSN/IoT; erasure-correction coding for distributed machine learning (Siddhartha S. Borkotoky)

● Routing and MAC Protocol Design
Directional MACs, shortest path algorithms (Bellman-Ford), max flow (Ford-Fulkerson), combinatorial optimization, Advanced Air Mobility and Precision Agriculture applications (Atri Mukhopadhyay)

● Edge Computing
Resource allocation, Offloading, Service Migration, Load Balancing (Atri Mukhopadhyay)

● Reconfigurable-Intelligent Assisted Wireless Systems
Noncoherent RIS systems, Symbiotic RIS systems, Beyond Diagonal and Stacked RIS systems, Statistical and performance analysis of RIS-assisted systems, Channel estimation for RIS-assisted wireless systems, Index modulation for RIS-assisted systems (Soumya P. Dash)

● Quantum Communications
Secret key rate analysis, Enhancement of transmission distance for secret key transmission, Error analysis for QKD-assisted wireless systems, Receiver design for MIMO wireless systems supporting QKD transmission (Soumya P. Dash)

● Transceiver Technologies for Next-Generation (B5G/6G) Wireless Systems
Integrated sensing and communications, Receiver design and channel estimation for fuild antenna systems, Analysis of visible light communication systems under practical user constraints, AI/ML assisted transceiver design for wireless communication systems (Soumya P. Dash)

RF and Microwave Engineering

● Microwave Systems and Circuits
Tunable microwave filters, tunable filtennas; high Q/high SRF planar multilayer inductor design and modeling, inductors on PCB/silicon; reflective intelligent surfaces (RIS) and integration with modern wireless communication systems; multiport reflectometry with optimized number of ports and bandwidth (Debapratim Ghosh)

● Applied Electromagnetics for Communication and Sensing
Antenna Design (UWB antennas, Metamaterial antennas and Antenna arrays); Radar Design (Pulsed and FMCW Radar, Bio-radar, Software-defined Radar); Electromagnetic Systems (Computation, modelling, simulation, fabrication, and testing); Optimisation and ML in Electromagnetic Systems (Debalina Ghosh)

Optical Communication, Photonic Devices and Sensors

● Optical Networks and Engineering
Passive optical network scheduler design, TDM and TWDM, eCPRI traffic, Optimization for 6G X-hauls for carrying XR applications (Atri Mukhopadhyay)

● Optical Communication and Sensing
Optics device design and simulation, high bit-rate system design, optical communication including application for 5G and Beyond communication, Free sp[ace optical Communication (FSO),distributed optical fiber sensors (Raman & Brillouin), photonic-electronic signal processing,optical-Biosensor,Terahertz biosensor using PCF, photonic integrated circuits,quantum sensing and communication, optical fiber sensors for wearables for monitoring of respiration, heart rate, blood pressure, biomedical devices,microwave photonics, nonlinear fibre optics, and dense wavelength division multiplexed communications. (Prof. P K Sahu)

● Wireless Communication
Underwater acoustic communication, Machine Learning for Wireless Communications, 5G and Beyond Communications (Prof. P. R. Sahu)

Semiconductor Technology and Chip Design
Semiconductor Devices

● Power Semiconductor Devices
Two and Three terminal discrete power devices in Silicon and Silicon Carbide material, novel device architectures in wide bandgap semiconductor, active area and edge termination design, process variation aware design, design for enhanced reliability against factors such as humidity, steady state and switching characteristics, reliability assessment, process deck creation and optimization, layout design of power devices. (Prof. Shreepad Karmalkar, Dr. Akshay K)

● Sensors and Spectroscopy
Design and fabrication of two and three terminal sensors (with special focus on resistive, homo/heterojunction and FET-based sensors) for non-invasive diagnostics, explosive detection and environmental monitoring. Sensor performance analysis, reliability studies and performance optimization, quantum junction devices, self powered and flexible sensors, Inelastic Electron Tunneling Spectroscopy, Conductance Spectroscopy, Nano-contact analysis, Sensor interfacing electronics (Dr. Sayan Dey)

● Semiconducting Nanostructures and their applications
Synthesis and growth of two dimensional materials (e.g. graphene, MoS2, WS2, etc.), Mechanical and chemical exfoliation methods, 2D material transfers, perovskites, transition metal oxide nanostructures, voltage tunable growth, nanowire growth, supercapacitors, flexible batteries, heterojunction photodetectors, understanding the device and materials physics (TCAD and VASP simulations) (Dr. Sayan Dey)

● Nanoelectronic Devices and Semiconductor Device Modeling
Novel Semiconductor Devices, e.g., Nanosheet, Complementary FET, Negative Capacitance FET, etc., Compact modeling and simulation, Numerical modeling (TCAD), Reliability analysis of silicon-based devices, Self-heating effect, Cryogenic CMOS, Analog front-end design using low power devices, Device circuit co-design, Ferroelectric FET and memory, FET-based sensor and its reliability check, Noise characteristics and its effect in analog circuits, Machine learning augmented TCAD analysis of semiconductor devices. (Dr. Navjeet Bagga)

IC and VLSI Design

● Analog, RF and Mixed-Signal VLSI Design: Analog, RF and Mixed-Signal VLSI Integrated Circuits and Systems; IC Design for Wireless and Wireline Communications; New Radio System Architectures for Next-Generation Wireless Standards; RF/Wireless System-on-Chip(SoC);
○ Mixed Signal IC Design: Analog to Digital Converter, DC-DC converter, complete IC design flow from schematic to tapeout. (Dr. Nijwm Wary)
○ SerDes Design: CTLE, DFE design, pin efficient coded differential and full duplex transceiver design. (Dr. Nijwm Wary)

● Digital VLSI Design
○ Reconfigurable Computing: FPGA architecture and design, hardware prototyping/emulation, co-simulation, Coarse-Grained Reconfigurable Arrays, Dynamically Reconfigurable Processors, Partial Reconfiguration Techniques (Dr. Ayan Palchaudhuri, Dr. Srinivas Boppu)
○ Hardware Accelerators: Machine Learning & AI Accelerators—Implementing Deep Learning, Spiking Neural Networks (SNNs), Convolutional Neural Networks (CNNs), and Tsetlin Machine on reconfigurable hardware. Image and video processing on FPGAs, Tightly coupled processor arrays (Dr. Srinivas Boppu)
○ VLSI Architectures for Computer Arithmetic: Number systems, high performance computer arithmetic, architectural and algorithmic speedup techniques; Datapath design with functional analysis and synthesis of fast adders, multipliers, dividers and square root computation, CORDIC and transcendental functions, cryptographic hardware for finite field arithmetic (Dr. Ayan Palchaudhuri)
○ VLSI DSP Processing Systems: High-level architectural transforms; algorithm to architecture mapping; Pipelining and parallel processing, retiming, unfolding, folding, systolic array design methodology; redundant and signed digit implementations; distributed arithmetic (Dr. Ayan Palchaudhuri)

○ Testable Architectures and Fault-Tolerant Digital VLSI Systems: Structured design for testability techniques, Built-in self-test architectures, Cellular automata-based logic block observation, Pseudorandom sequence generator, self-reconfigurable fault-tolerant architectures, hardware redundancy, information redundancy, and time redundancy to achieve fault tolerance (Dr. Ayan Palchaudhuri)
○ Hardware-Software Co-Design: Architecture and compiler co-design, mapping frameworks, high-level synthesis (Dr. Srinivas Boppu)

Integrated Photonics, Quantum Photonics, and Quantum Technologies

● Integrated photonics
High-speed (beyond GHz/electronic devices) integrated photonic circuits, optical interconnects, optical components (design, simulation, and fabrication) of optical switches, optical waveguides, resonators, modulators, and other optoelectronics devices for photonic computers, optical communication, and Photonic sensors. (Dr. Raktim Haldar)

● Quantum photonic technologies and quantum information
Implementation of photonic components and circuits for the generation of single photons, entangled photons, complex nonclassical states, e.g., graph states, cluster states that eventually leads to the design of real-life quantum computers capable of function in room-temperature. Realization of quantum gates and quantum algorithms using photonic components. Implementation of quantum information protocols within compact photonic chips. Light-based quantum cryptographic channel, quantum communication, and quantum machine learning (Dr. Raktim Haldar)

1. Power Systems
2. Power Electronics & Drives
3. Control and Instrumentation
4. Electric Machines
5. Renewable Energy Systems
6. Microgrid/Smartgrid
7. Electric Vehicle
8. Electric Power Quality
9. High Voltage Engineering