جستجوی استاد راهنمای دانشگاهی

Shubhadeep Bhattacharjee is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad (IITH) . He leads the Advanced Electron Devices Lab , where his team explores cutting-edge research in low-power semiconductor devices, neuromorphic hardware, and quantum materials. Research Interests His research spans three major domains: Classical Transistors: Investigating sub-thermionic 2D transistors to overcome the Boltzmann limit and enable ultra-low voltage operation. Neuromorphic Devices: Developing CMOS-compatible memristive and synaptic devices for energy-efficient artificial and spiking neural networks. Quantum Devices: Exploring twisted 2D heterostructures for emergent quantum phenomena and ferroelectric memory applications. Funded Projects Dr. Bhattacharjee is the Principal Investigator (PI) or Co-PI on several nationally and internationally funded projects: BRNS, DAE, GoI: Scalable co-integration of 2D materials for spiking neural networks (3 years) SERB, GoI: Tunable synaptic plasticity in MoS₂ transistors for low-power SNNs (2 years) IITH Seed Grant: Heterogenous integration of neuromorphic devices with 2D semiconductors (2 years) ASCENT, Europe: BEOL-compatible MoS₂ devices (2 years) SPARC, MoE, GoI: India-US collaborative workforce development in semiconductor manufacturing (Co-PI, 2 years) Lab & Collaborations Dr. Bhattacharjee’s lab emphasizes interdisciplinary collaboration, combining cleanroom nanofabrication, electrical characterization, and device modeling. The lab is open to PhD, postdoc, and project students with backgrounds in electrical engineering, physics, materials science, and chemistry.

• Semiconductor device physics
• Neuromorphic computing
• 2D materials
• +۵ مورد دیگر

Dr. Shubham Sahay is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His research focuses on solid-state logic and memory devices, neuromorphic computing, and hardware security. He completed his Ph.D. in Electrical Engineering from IIT Delhi in 2018 and his B.Tech in Electronics Engineering from IIT BHU, Varanasi in 2014. Ph.D. in Electrical Engineering, IIT Delhi, 2018 B.Tech in Electronics Engineering, IIT BHU, Varanasi, 2014 Dr. Sahay's research interests span hardware platforms for neuromorphic computing, hardware security primitives, novel device architectures for scaling CMOS technology, analytical and compact modeling of semiconductor devices, non-volatile memories, and spintronics. His work bridges the gap between theoretical device physics and practical applications in computing and security domains, with a particular emphasis on memory technologies and their applications in emerging computing paradigms. His publications reveal a strong focus on memory technologies, particularly NAND flash and emerging memory devices like OxRAM. Dr. Sahay has made significant contributions to neuromorphic computing architectures and hardware security primitives that leverage inherent device variability. His work demonstrates expertise in both theoretical modeling and practical implementation of advanced semiconductor devices. List of golden reviewers for IEEE Transactions on Electron Devices (TED) 2017-2020 I.I.T. (B.H.U.), Varanasi Gold Medal 2014 Late Prof. Nagesh Chandra Vaidya Gold Medal 2014 Dr. (Late) Nandita Saha Roy Memorial Gold Medal 2014 C. Raja Gopal Memorial Gold Medal 2014 Dr. Ayyagari Sambasiva Rao Prize 2014 Late Prof. Manoranjan Sengupta Platinum Jubilee Merit Award 2014 Dr. Sahay serves as an editor for IETE Technical Review and is an active member of IEEE, where he also holds the position of Vice-chair for IEEE EDS, UP Section. His research has been supported by various funding sources, though specific grant details are not provided in the available information. Dr. Sahay teaches courses including EE698P (Memory Technology and Neuromorphic Computing), EE370 tutorial (Digital Electronics), EE210 tutorial (Microelectronics - I), and EE201 tutorial (Introduction to Electronics), contributing to both undergraduate and graduate education in electrical engineering.

• Solid state logic and memory devices
• Neuromorphic computing
• Hardware security
• +۳ مورد دیگر

Chandra Sekhar Seelamantula is a Professor in the Department of Electrical Communication Engineering at the Indian Institute of Science (IISc), Bangalore, leading the SPECTRUM LAB. His research spans signal and image processing, computational imaging, and AI applications in healthcare, with expertise in Speech Processing, Biomedical Image Processing, Compressed Sensing, and Neuromorphic Imaging. He teaches core courses including Digital Signal Processing and Time-Frequency Analysis. His educational background includes: Postdoctoral fellow, Ecole polytechnique fédérale de Lausanne (2006-2009) Ph.D., Indian Institute of Science, Bangalore (2005) B.E., Osmania University College of Engineering, Hyderabad (1999) Professor Seelamantula's work focuses on advancing Sampling Theory and solving Inverse Problems in Computational Imaging through AI-driven approaches. His research bridges theoretical foundations with practical applications in Digital Healthcare, particularly in Biomedical Image Analysis and Neural Signal Processing, contributing to innovations in medical diagnostics and assistive technologies. His scientific awards and honors include: Outstanding Editorial Board Member Award 2022, IEEE Transactions on Image Processing Digital Health prize at NBEC 2018 Prof. Priti Shankar Teaching Award 2013 Intellectual Ventures Invention Awards (2010, 2011) IBM India Research Labs Research Student Fellowship Award (2001-2004) Multiple IEEE student paper contest prizes Undergraduate honors including Srinivasa Ramanujam Gold Medal (1997-1999) He has advised graduate students and secured research support through prestigious fellowships. His professional service includes leadership roles in IEEE Signal Processing Society chapters and technical committees. He directs the SPECTRUM LAB at IISc, which pioneers research in computational imaging, neuromorphic systems, and AI-driven healthcare solutions.

• Speech Processing
• Biomedical Image Processing
• Image Processing
• +۷ مورد دیگر

Himanshu Fulara serves as Assistant Professor in the Department of Physics at Indian Institute of Technology Roorkee. His research focuses on experimental condensed matter physics with emphasis on quantum spintronics, nanomagnetism, and energy-efficient nanodevices. He leads the department's Condensed Matter Physics Lab and holds multiple administrative roles including Professor-in-charge of the lab and Coordinator for BSMS Physics program. His research interests span Experimental Condensed Matter Physics , Quantum Spintronics & Nanomagnetism , and Energy-efficient Nanodevices . Key specialties include Spin-Torque and Spin Hall Nano-Oscillators, Skyrmions, Micromagnetic Modelling, Brain-Inspired Computing, and Thin Films/Multilayers. His work demonstrates significant innovation in neuromorphic computing applications and voltage-controlled spintronic devices. Analysis of his recent publications reveals strong focus on spin Hall nano-oscillators (SHNOs) for neuromorphic applications, skyrmion dynamics, and voltage-controlled magnetism. His work frequently appears in high-impact journals including Nature Materials, Nature Nanotechnology, and Science Advances, with notable contributions to memristive control of SHNO synchronization and ultra-low current nano-oscillators. Honors and awards include: Max-Planck Postdoctoral Fellowship (2014) University of Gothenburg Postdoctoral Scholarship (2017) Best Project Award at IIT Delhi (2013) Senior Research Fellowship from CSIR-UGC (2011) He actively supervises PhD students including Shikhar Jugran (Novel Spin-Orbit Torque Materials), Hind Prakash (Magnetic skyrmions), and Arunima TM (Nano-constriction based SHNOs). His current research is funded by SERB (INR 33.11 lakh) and SRIC, IIT Roorkee (INR 20 lakh), both as sole PI. He has delivered numerous invited talks at international conferences including APS March Meetings and INTERMAG. Administratively, he serves on multiple committees including Departmental Purchase Committee, Institute Level Tinkering Committee, and Anti-Ragging Squads. He coordinates departmental initiatives for Tinkering & Mentoring and BSMS Physics programs.

• Experimental Condensed Matter Physics
• Quantum Spintronics & Nanomagnetism
• Energy-efficient Nanodevices
• +۶ مورد دیگر

Sangkha Borah is an Assistant Professor in the Department of Physics. He earned his Ph.D. from IIT Guwahati and focuses on interdisciplinary research at the intersection of computational methods and fundamental physics. His research interests span four key areas: Applying Machine Learning to solve complex problems in physics Advancing Quantum Control techniques for quantum systems Exploring foundational and applied aspects of Quantum Computing Developing Neuromorphic Computing models inspired by biological systems

• Machine Learning in Physics
• Quantum Control
• Quantum Computing
• +۱ مورد دیگر

Avinash Lahgere serves as an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), one of India's premier technical institutions. His research spans semiconductor technology with expertise in Semiconductor Devices, Compact Modeling, Emerging CMOS Devices, Emerging Volatile-Nonvolatile Memory, Variation analysis, PPA Benchmarking, Analog/RF circuit design, and Neuromorphic computing architectures. Dr. Lahgere's work bridges fundamental device physics with practical circuit implementation challenges across traditional silicon-based electronics and next-generation computing paradigms. His research has significant implications for advancing semiconductor technology scaling, improving circuit design methodologies, and developing novel computing architectures that address power-performance-area constraints while exploring neuromorphic approaches to computation. Dr. Lahgere maintains his office in ACES 401B at IIT Kanpur's campus in Kanpur 208016 and can be contacted at alahgere@iitk.ac.in or by phone at +91-512-679-2302.

• Semiconductor Devices
• Compact Modeling
• Emerging CMOS Devices
• +۵ مورد دیگر