He received his M.Sc. degree from the University of Kentucky, Lexington, KY, USA. He is currently pursuing his Ph.D. degree with the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. His research interests include the development of low-energy and secure memory circuits, nano-technology device-based emerging computing, and side-channel analysis attacks.
Contact: wyang19@vols.utk.edu
Personal Site: https://scholar.google.com/citations?hl=en&user=h7q27E0AAAAJ
He received his B.Sc. in Computer Engineering from The University of Kentucky, Lexington, KY, USA. He joined as a graduate student at the University of Tennessee in Fall 2021. He is the recipient of the NSF Graduate Research Fellowship Program (GRFP), under the topic of Security in a Post-Quantum World. His research interests are cybersecurity, quantum computing, RTL design and validation, and embedded systems.
Contact: tcultice@vols.utk.edu
Personal Site: https://scholar.google.com/citations?hl=en&user=9eUFpBwAAAAJ
Bhaskar Gaur is a Ph.D. candidate in Computer Science at the University of Tennessee, Knoxville. His research focuses on distributed and approximate quantum circuits for noise resilience, as well as enhancing the security of quantum computing systems. He conducts his research in collaboration with Oak Ridge National Laboratory. Bhaskar earned his M.Tech. in VLSI Design from VIT University, Vellore, India, in 2010. Before joining the Ph.D. program, he gained over seven years of industry experience in Integrated Circuit Design, working at Intel and Qualcomm.
Contact: bgaur@vols.utk.edu
Personal Site: https://scholar.google.com/citations?user=YI1CL9gAAAAJ&hl=en&oi=ao
He received a B.Sc. in Computer Engineering from the University of Kentucky, Lexington, KY, USA. He joined the University of Tennessee as a graduate student in Fall 2021, to pursue a Ph.D. in Computer Engineering. He is a recipient of the NSF Graduate Research Fellowship (GRFP) for quantum circuit compilation. His research interests are embedded systems, computer-aided design/design automation, and quantum computing.
Contact: jclar168@vols.utk.edu
Personal Site: https://scholar.google.com/citations?hl=en&user=3_clj6EAAAAJ
He finished his BSc in Electrical Electronic & Communication Engineering from the Military Institute of Science and Technology, Bangladesh in 2020. After graduation, he worked as a Lecturer in MIST for 2 years. He joined as a graduate student at the University of Tennessee in Fall 2022. He is the recipient of the 2024 Outstanding Graduate TA Award in Computer Engineering. His research interest is in Adversarial AI, Machine Learning, and Quantum Machine Learning with their Application in Healthcare.
Contact: monim@vols.utk.edu
Personal Site: https://sites.google.com/view/md-saif-hassan/
He received his B.Sc. and M.Sc. degrees in Electrical Engineering and Electrical Engineering - Digital Electronic Systems from Shahid Beheshti University (SBU), Tehran, Iran, in 2019 and 2022, respectively. He received a Graduate School Fellowship from the University of Tennessee, Knoxville, USA, where he is currently pursuing his Ph.D. degree in Computer Engineering. His research interests include very large-scale integration (VLSI) design, emerging technologies, neuromorphic computing, approximate computing, and hardware security.
Contact: mtanavar@vols.utk.edu
Personal Site: https://scholar.google.com/citations?user=-oAGXmIAAAAJ&hl=en&oi=ao
He received his B.Tech in Electrical Engineering from the Indian Institute of Engineering Science and Technology, Shibpur, India, in 2021, and worked as a software developer in Lexmark R&D in Kolkata, India till 2023 before he joined the University of Tennessee, Knoxville to pursue his Ph.D. in Computer Engineering. His research interests align with intelligent systems, specializing in quantum information, quantum machine learning, and QML security. He is passionate about music and loves to learn new instruments, besides arts and literature.
Contact: sbhowmi2@vols.utk.edu
Personal Site: https://scholar.google.com/citations?user=2Hi758gAAAAJ&hl=en&oi=ao
He received his BSc in Computer Engineering from Tennessee Technological University. He started his MS in Computer Engineering at the University of Tennessee, Knoxville in 2024. His research interest is in Embedded Systems and FPGAs.
Contact: xcj139@vols.utk.edu
PhD Thesis: Energy-Efficient and Secure Hardware Using Adiabatic Logic and Non-Volatile MTJ Devices.
Graduation: Summer 2022
Currently working as a Senior Engineer at Qualcomm
PhD Thesis: Designing Novel Hardware Security Primitives for Smart Computing Devices.
Graduation: Fall 2021
Post Doc. Research Topic: Designing Novel Hardware Security Primitives for Biomedical Devices.
Duration: (Spring 2022 - Summer 2022)
Currently working as a Senior Staff Engineer - Digital Design at Marvell Technology
PhD Thesis: Novel Machine Learning and Wearable Sensor Based Solutions for Smart Healthcare Monitoring.
Graduation: Summer 2021
Currently working as a Research Scientist at VTT.
PhD Thesis: Resource Efficient Design of Quantum Circuits for Cryptanalysis and Scientific Computing Applications.
Graduation: Summer 2020
Currently working as a tenure track Assistant Professor at the University of North Texas, USA
PhD Thesis: Energy-efficient and Secure Hardware for Internet of Things (IoT) Devices.
Graduation: Fall 2018
Currently working as a GPU Physical Design Engineer at Apple
Masters/Undergraduate Research: Smart Home for Elderly People.
Graduation: Fall 2016
Currently working as a Senior Methodology Engineer at Microsoft
MS Thesis: Post-Layout Evaluation of Adiabatic Logic for Energy Efficiency and CPA Resistance.
Graduation: Summer 2024
MS by Course Work
Graduation: Fall 2022
Currently working as a Computer Engineer at Naval Information Warfare Center Atlantic
MS Thesis: Combining Approximate Computing and Adiabatic Logic for Low-power and Energy-efficient IoT Edge Computing.
Graduation: Summer 2021
Currently pursuing PhD at the University of Tennessee, Knoxville with Dr Himanshu Thapliyal.
MS Thesis: T-count Optimization of Quantum Carry Look-Ahead Adder.
Graduation: Summer 2019
Currently working as an Embedded Software Engineer at Radiant Power Corp
MS Thesis: Emerging Computing Based Novel Solutions for Design of Low Power Circuits.
Graduation: Fall 2018
Currently working as a Power Management Engineer at Ampere
MS Thesis: Novel Resource Efficient Circuit Designs for Rebooting Computing.
Graduation: Fall 2017
Currently working as a Design Verification Engineer at Google
MS Thesis: Exploration of Majority Logic Based Designs for Arithmetic Circuits.
Graduation: Spring 2017
PhD Thesis: Energy Harvesting and Sensor Based Hardware Security Primitives for the Internet of Things and Vehicles.
Graduation: Fall 2020
Currently working as a Software Engineer at Google
MS Thesis: IoT Development for Healthy Independent Living.
Graduation: Spring 2017
Currently working as a Senior Electrical Engineer at Bullard
MS Thesis: Explorations for Efficient Reversible Barrel Shifters and Their Mappings in QCA Nanocomputing.
Graduation: Summer 2015
Currently working at industry in China
Post Doc. Research Topic: Majority/minority Logic Synthesis for Emerging Technologies.
Duration: 2016
Currently working as an Associate Professor at Gati Shakti Vishwavidyalaya, India
Post Doc. Research Topic: Energy Efficient Magnetic Circuits.
Duration: 2016
Currently working as an Assistant Professor at the Graduate University of Advanced Technology, Kerman, Iran