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Current Students

Amogh Agrawal
Amogh received his B.Tech degree in Electrical Engineering from Indian Institute of Technology (Ropar), India, in 2016. He was a research intern at University of Ulm, Germany in 2015, under the DAAD (German Academic Exchange Service) fellowship. He was the recipient of Director’s Gold Medal for his all-round performance, and Institute Silver Medal for his academic achievements at IIT Ropar. He joined the Nanoelectronics Research Lab in 2016 and is currently pursuing Ph.D. degree under the guidance of Prof. Kaushik Roy. He was a Technology Development Intern during the summer of 2018 at at GLOBALFOUNDRIES, Malta, NY. His primary research interests include enabling in-memory computations for neuromorphic systems using CMOS and beyond-CMOS memories. He is also looking into modeling and simulation of spintronic devices for applications in neuromorphic computing. He has been a recipient of the Andrews Fellowship from Purdue University since 2016.
Sai Aparna Aketi
Aparna Aketi received her B.Tech. in Electrical Engineering from the Indian Institute of Technology, Gandhinagar, India in 2018. She received IUSSTF-VITERBI program award 2017. She worked on radiation hardened asynchronous system design under the guidance of Prof. Peter A. Beerel as a summer intern at University of Southern California. She was the recipient of President’s Gold medal, Institute Gold medal and an award for best performance in the core courses of physics, chemistry and life sciences at IIT Gandhinagar for her academic excellence. She joined Purdue in Fall 2018 as a PhD student under the guidance of Professor Kaushik Roy, where she works on explainability and reasoning for AI based cognitive systems.
Mustafa Fayez Ahmed Ali
Mustafa received his B.E. and M.Sc. degrees in Electrical Engineering from MTC, Cairo, Egypt, in 2011 and 2016, respectively. He worked on flexible electronics applications using TFTs in his MSc. He worked as a communications engineer from 2011 to 2013, and from 2013 to 2017, He worked as a TA and RA at MTC. He also worked in a startup as an embedded systems and hardware engineer at Integreight (Egyptian Hardware Startup) (2012 to 2017). Mustafa joined the Nanoelectronics Research Lab in Spring 2018 and he is currently pursuing his Ph.D. under the guidance of Prof. Roy. His research interest is generally neuromorphic computing using CMOS and emerging technologies. Mustafa likes reading especially in psychology, self-improvement, also, Redditing, browsing Quora, playing soccer.
Jason Allred
Jason most recently worked as an Electronics Engineer for the US Department of Defense from 2013-2015. He received his M.S. in Computer Engineering from Utah State University in 2013. His Master's thesis involved exploiting "dark silicon" for energy efficiency. Before that, he received his B.S. in Computer Engineering from Brigham Young University-Idaho in 2011, where he graduated Summa Cum Laude. He also worked as a summer intern for National Instruments in 2011 developing FPGA tools. At Purdue, he is a recipient of the Ross Fellowship and is currently working under the direction of Professor Kaushik Roy on research in neuromorphic computing, specifically modifying online learning algorithms for in-situ hardware implementations of spiking neural networks. Jason enjoys spending time with his wife and three small children.
Robert Andrawis
Robert received M.S. degree from the Department of Electrical Computer Engineering, Cairo University in 2010, and second M.S. degree in physics from the American University in Cairo in 2013. He also worked as R&D engineer in following places: Valeo, Vodafone, and Intel Egypt. He also worked as teaching assistant at the American University in Cairo, Physics Department. He is currently pursuing his Ph.D. under the guidance of Kaushik Roy. His current research interests include modeling and simulation of spin devices, VLSI, semiconductor device modeling, atomistic modeling, NEGF, and computational physics.
Aayush Ankit
Aayush received his B.Tech. degree in Electronics Engineering from Indian Institute of Technology (BHU), Varanasi, in 2015. He worked as a summer research intern and MITACS Globalink fellow at University of Alberta, Canada in 2014. Prior to that, he was as a summer intern at Hanyang University, South Korea in 2013. Currently, he is pursuing PhD under the guidance of Prof. Kaushik Roy. His primary research interests lie in hardware and software design for machine learning.
Indranil Chakraborty
Indranil Chakraborty received his B.E. degree from Jadavpur University, India, in 2013 and the Master's degree from Indian Institute of Technology, Bombay, in 2016. His master's thesis was on physics-based modelling of PCMO-based devices. He was the recipient of best M. Tech thesis award and academic excellence award during his time at IIT Bombay for his academic performance. Currently, he is pursuing Ph.D. degree under the guidance of Prof. Kaushik Roy. His primary research interests include in-memory computing platforms based on CMOS, beyond-CMOS technologies and Si Photonics as well as technology-aware algorithms under the broad umbrella of neuromorphic computing.
Rayane Chatrieux
Rayane G. Chatrieux graduated from Purdue University with a degree in ECE in 2018. He is now enrolled as a Ph.D. student in ECE at Purdue University under the supervision of professor Kaushik Roy. His current research focus is on leveraging the fault tolerance of deep neural network for use in accelerator architectures.
Mei-Chin Chen
Mei-Chin Chen received the B.S. degree in Electrophysics from National Chiao Tung University, Taiwan, in 2012. She was a Research Assistant with the Department of Electronics Engineering, National Chiao Tung University from 2012 to 2013 where she worked on constructing compact models and numerical circuit simulations of RRAM devices. Currently, she is pursuing Ph.D. degree at Purdue University under the guidance of Prof. Kaushik Roy since Fall 2013. She is the recipient of the Studying Abroad Scholarship from the Education Ministry of Taiwan for her academic performance. Her primary research focus is in the area of device/circuit/architecture co-design of embedded systems using emerging technologies. She is also exploring the possible applications of magnetic skyrmion-based devices in memory and neuromorphic computing.
Sakshi Choudhary
Sakshi received her B. Tech. degree in Electronics and Communication Engineering from Malaviya National Institute of Technology, India in 2018. During her final year of undergraduate studies, she joined Texas Instruments, India as an intern where she worked on design and characterization of an ultrasound transceiver. Prior to that, she worked as a summer research intern and DAAD-WISE fellow at TU Dresden, Germany in 2017. She joined Purdue University as a MS student in 2019. Currently, she is pursuing Ph.D. in ECE under the guidance of Prof. Kaushik Roy. Her primary research interests lie in device-circuit co-design for neuromorphic computing applications.
Sayeed Shafayet Chowdhury
Sayeed Shafayet Chowdhury received his B.Sc. degree in Electrical & Electronic Engineering from Bangladesh University of Engineering and Technology in 2016. He worked at BUET as a lecturer for a while. Currently, he is pursuing a PhD under the guidance of Prof. Kaushik Roy. His current research interests include neuromorphic computing, specifically, developing energy-efficient algorithms for deep learning applications (recognition, inference, analytics), investigating the robustness of various architectures against adversarial examples and delving towards understanding the functional mechanisms of deep learning and spiking networks.
Isha Garg
Isha Garg obtained her Bachelor's in EE from BITS Pilani, India, in 2013. After graduation, she worked as an SRAM memory designer at AMD and Synopsys till the end of 2015. She then moved to the National University of Singapore where she designed efficient algorithms for Convolutional Neural Networks. She joined Purdue in 2017 as a PhD student under the guidance of Professor Kaushik Roy, where she works on understanding CNNs and designing new and efficient algorithms for them.
Bing Han
Bing Han received his B.S. degree in Automatic control system from Northeastern University, China in 2006, and M.S. degree in Electrical Engineering from University of Dayton, Ohio in 2010. He is currently pursuing his Ph.D. under the guidance of Dr. Kaushik Roy. His research interests include designing new algorithms, devices and circuits aiming at achieving low power consumption electronic system.
Timur Ibrayev
Timur Ibrayev received his B.S. degree in Electrical and Electronics Engineering from Nazarbayev University, Kazakhstan in 2017. During his undergraduate program, he was working on designing neuromorphic architectures using emerging devices. This resulted in a design for Hierarchical Temporal Memories (HTM) based on memristor-CMOS hybrid circuits. Starting from 2017, he is pursuing Ph.D. d under the guidance of Prof. Kaushik Roy. His current research interest includes Deep Learning algorithms with specific focus on theory of deep learning and possibility of applying these to lifelong learning paradigm.
Dong Eun Kim
Dong Eun Kim received his B.S. in Electrical and Electronic Engineering from Yonsei University, Korea, in 2018. During his undergraduate years, he was working on hardware acceleration for neural network computing. Currently, he is pursuing a Ph.D. degree in Electrical and Computer Engineering at Purdue University under the supervision of Professor Kaushik Roy. His primary research interests lie in hardware and software design for neural network.
Sangamesh Kodge
Sangamesh Kodge received his B. Tech. in Electrical Engineering from Indian Institute of Technology, Kharagpur in 2018. He worked as a summer intern and NTU-India Connect Fellow at Nanyang Technological University (NTU), Singapore in 2017. He joined Purdue in fall 2018 and is currently pursuing his PhD under the guidance of Prof. Kaushik Roy. His research interests include In-Memory Computing and neuromorphic algorithms. In his free time he likes to travel and socialize with others.
Minsuk Koo
MinSuk received the B.S. degree in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea,in 2007, the M.S. degree in electrical engineering from Seoul National University, Seoul, Korea, in 2009, and is currently working toward the Ph.D. degree in electrical and computer engineering under the guidance of Kaushik Roy. Minsuk was with RadioPulse Inc., Seoul, Korea as a senior engineer where he had been involved with the development of ZigBee transceiver and SoC products. His research interests include CMOS circuits and system for neural networks and associative computing using emerging device.
Adarsh Kosta
Adarsh Kosta received his Dual degree (Integrated B.Tech + M.Tech) in Electronics and Electrical Communication Engineering (ECE) with specialization in Visual Information Processing and Embedded Systems from Indian Institute of Technology Kharagpur, India, in 2018. He worked as an Extreme Blue summer intern at IBM India System Development Lab (ISDL) in 2017. Prior to this, he worked as a MITACS Globalink summer research intern at University of British Columbia, Canada in 2016. Currently, he is pursuing Ph.D. degree at Purdue University under the guidance of Prof. Kaushik Roy. His research interests lie in neuromorphic computing, in-memory computing architectures and modifying deep network architectures to better scale with hardware. He's currently exploring Spiking Neural Network architectures for Deep Reinforcement Learning targeted at aerial vehicles and personal robots. In his free time, he likes to code, tinker with electronic gadgets and build some electronic solutions that simplify daily life. His hobbies include playing badminton and reading books.
Chankyu Lee
Chankyu received his B.S. in Electrical and Electronics Engineering from Sungkyunkwan University (SKKU), Korea, in 2015. While there, he conducted research on brain machine interface at the Advanced Institutes of Convergence Technology, in a summer 2014. Currently, he is pursuing PhD degree in Electrical and Computer Engineering under Prof. Kaushik Roy. His primary research areas are in the area of brain-inspired (neuromorphic) computing and event-driven deep learning, low power and high performance VLSI design for machine learning hardware.
Chamika Liyanagedera
Chamika received his B.Sc (2010) in Electrical Engineering from University of Peradeniya and his M.Sc (2013) in Electrical Engineering Technology from Purdue University. He was the recipient of the gold medal for the best performance in Engineering at University of Peradeniya. He started his PhD in fall 2014 and is now currently working under the guidance of Professor Kaushik Roy. His research work is mainly focused on neuromorphic computing using spin based oscillators and other emerging devices.
Yinghan Long
Yinghan Long received her B.S. degree in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, and Shanghai Jiao Tong University in 2016. She worked as a summer research intern at Intel Asia-Pacific R&D center, Shanghai. She also worked as an FPGA engineer at Digilent Inc. from 2016 to 2017. Currently she is pursuing Ph.D. under the guidance of Prof. Kaushik Roy. Her research interests include neuromorphic computing and VLSI design.
Amitangshu Mukherjee
Amitangshu received his B. Tech in Applied Electronics and Instrumentation Engineering from West Bengal University of Technology in 2016. He graduated from Iowa State University, USA with a Master’s in Computer Engineering in Fall 2019 where he worked as a Graduate Research Assistant at the Self-Aware Complex Systems Lab and DICE Lab (now moved to New York University) from Fall 2018 to Spring 2020. His primary research work revolved around topics in Deep Learning such as Domain Adaptation and Adversarial Machine Learning and he published his research works in conferences such as ICCV 2019 (main conference), CVPR and Neurips (Workshops). His M.S thesis project focused on GAN based Data Augmentation techniques for improving performances of Deep Networks in Perception based tasks for Autonomous Driving. In Summer 2020, he joined Purdue University’s ECE department to pursue his PhD degree under the guidance of Prof. Kaushik Roy at the Center for Brain-Inspired Computing (C-BRIC). His primary research interests will focus on designing Neuro-inspired Algorithms for Explainable and Robust Learning in Autonomous Systems.
Shubham Negi
Shubham Negi received his Dual degree (Integrated B.Tech + M.Tech) in Electrical Engineering (EE) with specialization in Instrumentation and Signal Processing from Indian Institute of Technology Kharagpur, India in 2019. He was the recipient of S.N. Bose scholarship to work as an intern at Nanoelectronics Research Laboratory (Purdue University) in 2018. During his internship, he worked on designing the circuit for SAR ADC and estimating the power consumption for different bit precision. Shubham is the recipient of the Ross Fellowship award from Purdue University. He joined Purdue University in fall 2019 and is pursuing his PhD under the guidance of Prof. Kaushik Roy. His research interest includes designing circuits and architectures for neuromorphic systems. Currently he is exploring crossbar based STDP learning for Spiking Neural Network. In his free time, he likes to play tennis and read novels.
Maryam Parsa
Maryam Parsa received her B.Sc. degree in Electrical Engineering from K. N. Toosi University of Technology, Tehran, Iran. She received her first master’s degree (M.Sc.) in Electrical Engineering and Computer Science from University of Ottawa, ON, Canada, where she was a recipient of the first place IEEE award in the university poster competition. She was awarded the Ross fellowship in 2013 to join the Civil Engineering Department at Purdue University, where she received her second M.Sc. degree in the area of System of Systems. In 2015, she was awarded the prestigious four-year Intel/SRC PhD fellowship. She is doing her PhD under supervision of Prof. Kaushik Roy with the Nanoelectronics Research Laboratory. Maryam also interned as a Graduate Researcher at Intel Corporation for two consecutive summers. Her primary research interests are hyper-parameter optimization and energy efficient neuromorphic computing. Maryam enjoys playing tennis, violin, and spending time with her baby girl Hannah
Wachirawit Ponghiran
Wachirawit received the B.S. and M.S. degrees in Electrical Engineering from KAIST, Korea in 2015 and 2017 respectively. He is currently pursuing his Ph.D. and his work focuses on algorithm design for spiking neuromorphic computing. Outside the office, he enjoys swimming. He was a part of varsity swim team in the college and keeps swimming since.
Nitin Rathi
Nitin received his B.Tech degree in Electronics and Communication Engineering from West Bengal University of Technology, Kolkata, India in 2013. He was a graduate student at University of South Florida, Tampa from 2014-2016 where he worked on hardware security and data privacy of on-chip non-volatile memories. He joined Nanoelectronics Research Lab in Fall 2016 and is currently working towards his Ph.D. degree under the guidance of Prof. Kaushik Roy. His research interests include designing architecture and algorithms for low-power Neuromorphic Computing.
Deepak Ravikumar
Deepak received his B.E. in Electronics Engineering from Ramaiah Institute of Technology, India, in 2016, and M.S. degree in Electrical and Computer Engineering from Purdue University, in 2019 and is currently working towards his Ph.D. under the guidance of Prof. Kaushik Roy. He was the bronze medalist for academic excellence at Ramaiah Institute of Technology. He is also one of the recipients of College of Engineering scholarship and the ECE summer research grant. After he earned his undergraduate degree, he worked at National Instruments R&D, where he developed signal acquisition and processing frameworks. His current research interests include Deep Learning algorithms with a focus on adversarial deep learning and explain-ability.
Deboleena Roy
Deboleena received her B.Tech and M.Tech (Dual Degree) from Indian Institute of Technology (IIT), Kharagpur, India, in 2014. She joined Qualcomm Bangalore Design Centre in July 2014 as a Front End Design Engineer. She was part of the Design for Power team and worked on making Value Tier Snapdragon chipsets more power-efficient and market competitive. She joined Purdue University in Fall 2016 and is currently pursuing PhD degree under the guidance of Prof. Kaushik Roy. Her primary research area is development and implementation of neuro‐inspired algorithms for cognitive applications such as perception, reasoning and decision making.
Gobinda Saha
Gobinda received his B.Sc. and M.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2013 and 2015, respectively. He joined BUET as a lecturer in 2014 and taught there for three years. In Fall 2017, he joined Prof. Roy's Nanoelectronics Research Laboratory at Purdue University to pursue his Ph.D. in ECE. His primary research interest lies in neuromorphic computing, more specifically, device-circuit co-design. To better understand the process of learning and information processing in neural microcircuits, he is also performing computational investigation into neural dynamics. In his free time, he likes to travel, listen to music and watch soccer.
Sourav Sanyal
Sourav Sanyal graduated from Jadavpur University, India in 2016 with a B.E. degree in Electrical Engineering. He then worked in PwC India as a technology consultant in the domain of Business Intelligence from 2016 to 2017. He graduated from Utah State University, USA in 2019 with an M.S. degree in Computer Engineering , specializing in VLSI and Computer Architecture. His M.S. thesis focused on improving the energy-efficiency of Graphics Processing Units (GPU) by reducing the performance imbalance between parallel warps (logical grouping of instruction threads) caused due to process variations at the Near-Threshold Computing (NTC) -- a computing paradigm where the supply voltage is scaled to just above the transistor threshold voltage. In Fall 2019, he joined the Center for Brain-Inspired Computing (C-BRIC) as a research assistant in the ECE department of Purdue University where he is pursuing a Ph.D. under the guidance of Prof. Kaushik Roy. His research goal is to resolve inefficiencies in computations for AI applications by trying to overcome the memory bottleneck. He is currently exploring state-of-the-art Non Von-Neumann architectures, better scalable algorithms, specifically in the domain of Spiking Neural Networks (SNN) and figuring out how to map them to more suitable and dedicated hardware fabrics and devices on silicon.
Utkarsh Saxena
Utkarsh received his B.Tech degree in Electrical Engineering (Power and Automation) from Indian Institute of Technology (IIT), Delhi in 2019. During his undergraduate, he worked on simulation based study of implementation of Artificial Neural Networks using spin based devices. He received the best B.Tech thesis award during his time at IIT Delhi. Currently, he is pursuing his PhD degree under the guidance of Prof. Kaushik Roy. His research interests include designing algorithms and architectures for deep learning systems using CMOS and various post-CMOS devices.
Deepika Sharma
Deepika received her B. Tech in Electrical Engineering from Indian Institute of Technology Roorkee, India. During her undergraduate studies, she worked on digital circuit designing for different applications including wireless communication. She joined Purdue in Fall 2019 and currently she is pursuing her PhD under Prof. Kaushik Roy. Her research interests include developing hardware architectures for neuromorphic computing. She loves to read and travel.
Tanvi Sharma
Tanvi Sharma completed her bachelor's degree in Electronics and Communication Engineering (with Honors) from Indian Institute of Technology Roorkee, India in 2018. She received the IITR Heritage Excellence Award, INSA-NASI-IASc Summer Research Fellowship, and ENCORE Scholarship Award for outstanding performance in academics and curricular. After BTech, Tanvi worked for a year at Texas Instruments Bangalore, India as a Digital Design Engineer in the MCU Backplane team. She worked on design, characterization and methodologies involved in standard cell library design. In 2019, Tanvi joined Prof. Kaushik Roy's Lab to pursue a PhD. Her primary interests include improving robustness in circuits involving novel devices and developing algorithms for emerging hardware.
Saima Sharmin
Saima achieved her B.Sc. degree from Bangladesh University of Engineering & Technology (BUET) in 2011. After serving as a Lecturer in BUET for several semesters, in fall 2015, she joined ECE Dept. of Purdue Universityand is working for her Ph.D. under the guidance of Prof. Roy. Her current research interests include hardware exploration for brain-inspired computing. Previously, she worked on spin-based devices for memory and non-boolean computations.
Efstathia Soufleri
Efstathia Soufleri received her Bachelor Degree from the Department of Mathematics at the National and Kapodistrian University of Athens, Greece, in 2016. She received her master’s in Computer Science from the University of Thessaly, Greece in 2017. Currently, she is pursuing PhD at Purdue University under the guidance of Prof. Kaushik Roy. Her primary research interests lie in Neuro-inspired Algorithms for Efficient and Lifelong Learning.
Shrihari Sridharan
Shrihari Sridharan received his B.S. in Electrical and Computer Engineering from Purdue University in 2018. He was a recipient of the Summer Undergraduate Research Fellowship (SURF) to work as a research intern at NRL in 2016. During that summer, he worked on reinforcement learning schemes in neuromorphic computing. Currently, he is pursuing his PhD under the guidance of Prof. Kaushik Roy and Prof. Anand Raghunathan as part of the Center for Brain-inspired Computing(C-BRIC). His current research interests include designing efficient algorithms and architectures for deep learning and cognitive systems in general. He loves to sing and play tennis in his leisure time.
Chun Tao
Chun received his B.S. degree in Electrical Engineering from Purdue University in 2020. He's a recipient of the Eli Shay scholarship in his undergraduate and earned the Purdue Engineering Dean's Doctoral Fellowship. He conducted research on human body communications in Purdue's SURF program in 2019. He is currently pursuing a Ph.D. degree in Electrical and Computer Engineering under the guidance of Prof. Kaushik Roy, with a primary research focus in the area of novel VLSI design and neuromorphic computing.
Eunseon Yu
Eunseon Yu received the B.S. and M.S. degrees in electronics engineering from Gachon University in 2017 and 2018, respectively, and worked as an Affiliated Researcher from 2018 to 2019 at the same university. She has worked on semiconductor materials and devices: thin-film deposition and characterization; process development and modeling; optimal design and characterization of nanoscale CMOS devices, 1T DRAM, and low-power high-density synaptic transistor; CMOS fabrication. She is currently pursuing the Ph.D. degree under the guidance of Prof. Kaushik Roy at Purdue University, IN, USA. Her research interests include novel materials, devices and circuits, and optimal algorithms towards the hardware-driven neuromorphic system.