Current Students
Md Faiek Ahsan
Faiek received his B.E in Electronics and Tele-Communication Engineering from Jadavpur University, India, in 2021. He then completed M.Tech in Electronic Systems Engineering from Indian Institute of Science (IISc), Bangalore in 2023. His Masters thesis was on Unified Hardware Accelerator for Elliptic and Hyper-Elliptic Curve Cryptography. He joined Purdue in fall 2023 and is now pursuing his Ph.D. under the guidance of Prof. Kaushik Roy. His current research interests include novel device-based device-circuit co-design for neuromorphic systems.
Sai Aparna Aketi
Aparna received her B.Tech. in Electrical Engineering from the Indian Institute of Technology, Gandhinagar, India in 2018. During the final two years of her undergraduate studies, under the mentorship of Prof. Joycee Meike, she focused on Radiation Hardening By Design research. For a summer internship at the University of Southern California, Aparna collaborated with Prof. Peter A. Beerel, working on radiation-hardened asynchronous system design. She was the recipient of the 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 the Fall of 2018 as a Ph.D. student under the guidance of Professor Kaushik Roy. In the initial years of her Ph.D., she explored various topics related to efficient machine learning methods such as pruning, early exits, and low-precision training. Her research interests span Privacy-Preserving Machine Learning, Federated Learning, and Decentralized Optimization. Currently, she is actively involved in developing algorithms for decentralized (peer-to-peer) learning setups that support heterogeneous data distributions.
Marco Apolinario Lainez
Marco Apolinario received his B.S. degree in Electronics Engineering from the National University of Engineering, Peru in 2017. He was a summer research intern in the Jicamarca Radio Observatory (JRO) in 2017. Then, he worked for two years as a research assistant in the Signal and Image Processing Lab at the National Institute of Research and Training in Telecommunications (INICTEL-UNI), Peru. There, he developed some research projects on deep learning for natural resource monitoring and remote sensing applications. In 2020, he has been awarded the graduate scholarship "Beca Presidente de la Republica" of the Peruvian Government (PRONABEC) to fund his graduate studies at Purdue University. Currently, he is pursuing his Ph.D. degree at Purdue University under the guidance of Prof. Kaushik Roy. His research interests include computer vision algorithms, neuromorphic computing, and event-driven deep learning.
Shristi Das Biswas
Shristi Das Biswas received her bachelor's degree (with Honors) in Electronics and Telecommunication Engineering from the Indian Institute of Engineering Science and Technology Shibpur, India, in 2021. While an undergraduate, she interned at the Defence Research and Development Organisation, India, and the Indian Institute of Technology, Bombay. Shristi has also been the recipient of the INSA-NASI-IASc Summer Research Fellowship and the IEEE Women in Engineering Best Student/ Research Scholar Paper Award at ICDCN 2020. In Fall 2021, she joined Purdue University’s ECE department to pursue her PhD degree under the guidance of Prof. Kaushik Roy at the Center for Brain-Inspired Computing (C-BRIC). Her current research interests include designing architecture and algorithms for neuromorphic computing applications. In her free time, she likes relaxing with good reads, music, and movies.
Soumyadeep Chandra
Soumyadeep Chandra received his B.E in Electronics and Tele-Communication Engineering (ECE) from Jadavpur University, India, in 2020. He then worked in PwC India as a technology consultant in the domain of Blockchain framework in 2020. In Spring 2021, he joined the Center for Brain-Inspired Computing (C-BRIC) as a teaching assistant in the ECE department of Purdue University where he is pursuing a Ph.D. under the guidance of Prof. Kaushik Roy. His research interests lie in neuromorphic computing and in-memory computing. He's currently exploring Spiking Neural Network application for Reinforcement Learning targeted at aerial drones. His hobbies include playing badminton, table tennis (ping pong), football, and computer games.
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.
Jimmy Gammell
Jimmy Gammell graduated from the University of Colorado Boulder with B.S. degrees in electrical/computer engineering and applied math in 2021. While an undergraduate, he interned at the National Institute of Standards and Technology, where he researched ways to implement deep learning efficiently in hardware. He joined Purdue in 2021 to pursue a PhD in ECE under the guidance of Prof. Kaushik Roy. His current research interests include neuromorphic systems and the design of algorithms for them.
Kang He
Kang received his B.E. degree in Materials Science and Engineering from Harbin Institute of Technology, China, in 2018, and M.S. degree in Materials Science and Engineering from University of Pennsylvania, in 2020. He is a recipient of Master's Scholarship and Outstanding Research Award at Upenn, and Ross Fellowship at Purdue. He is currently pursuing a PhD degree in Electrical and Computer Engineering under the guidance of Prof. Kaushik Roy. His research interest includes in memory computing and hardware-software co-design.
Chih-Hsing Ho
Chih-Hsing Ho graduated from the National Chiao Tung University with B.S. degrees in Honor Program of Electrical and Computer Engineering in 2020. After graduation, he became a research assistant at the Academica Sinica, where he performed research on object detection in gigapixel images. He joined Purdue in 2021 to pursue a PhD in ECE. His current research interests include computer vision and machine unlearning.
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.
Amogh Joshi
Amogh Joshi received his B.Tech. in Electronics Engineering from the University of Mumbai in 2020. He was a Project Research Assistant at the Indian Institute of Technology, Bombay from 2020 to 2021, where he worked on safety devices for Lighter-than-Air systems, and an avionics and control suite for a medium-weight class UAV. Amogh joined the Nanoelectronics Research Lab in the Spring of 2022, where he is currently pursuing his PhD under the supervision of Prof. Kaushik Roy. His research interests include neuromorphic computing for autonomous drone applications, and he is currently exploring architectures for Spiking Neural Networks aimed at aerial vehicles. In his free time, Amogh is a hobbyist maker and likes to build electronic gadgets for everyday tasks. He is also an avid photographer and trekker.
Gaurav Kumar K
Gaurav received his B.E. in Electronics and Tele-Communication Engineering from Jadavpur University, India, in 2017. He then worked as a technical analyst at Bharti Airtel for a couple of years. He joined Purdue in Fall 2019 to pursue his Ph.D. degree. Before joining NRL in Spring 2023, Gaurav worked with Prof. Shreyas Sen, focusing on low-power and high-speed sensors for emerging technologies. Gaurav also interned with Kilby Labs during the summer of 2021, where he worked on high-speed interfaces. His current research interests include novel circuits and architectures for accelerating AI/ML workloads. In his free time, he likes to play cricket and has represented Purdue at regional and national championships.
Zubin Kane
Zubin Kane received his bachelor’s degree in Computer Engineering from Purdue University in 2021. Since 2019, he has interned with a national laboratory, using neuromorphic hardware to explore Neuroscientific and Low Power/High Performance Computing. In Fall 2021, Zubin joined the Center for Brain-Inspired Computing (C-BRIC) to pursue his Ph.D. under the guidance of Professor Kaushik Roy. His primary research interests include neuro-plausible algorithms and massively parallel computation. In his free time, he enjoys cooking, chamber music (as a cellist), and the artistic scene of indie games.
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.
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.
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.
Prajna Malettira
Prajna completed her B.Tech in Electronics and Communication Engineering at PES University, Bangalore in 2022. During her final year as an undergraduate, she worked as a Data Engineering intern at Collin's Aerospace, India, where she focused on creating automation frameworks for predictive maintenance and strategic planning. She began her journey at Purdue University as a Master's student in 2022 and is currently pursuing her Ph.D. in ECE under the guidance of Prof. Kaushik Roy. Her research centers on designing architectures and algorithms for neuromorphic computing applications.
Rohan Kumar Manna
Rohan Kumar Manna received his B. Tech degree in Computer Science & Engineering (CSE) from KIIT University, India, in 2018. He graduated from Purdue University, USA with a master’s degree in Electrical & Computer Engineering (ECE) in the Fall of 2020. He has worked as a Graduate Instructor for the Purdue computer science department (CS 180) for five years. He was a finalist for the first-ever Indy Autonomous Challenge and has published a paper in SAE international journal. Currently, he is pursuing a Ph.D. degree in Electrical and Computer Engineering at Purdue University under the supervision of Professor Kaushik Roy. His research interests include neuromorphic computing for autonomous drone applications. In his free time, he likes to play video games and read articles.
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.
Manish Nagaraj
Manish Nagaraj received his B.E degree in Electronics and Communication Engineering from PES Institute of Technology, India in 2017, and M.S. degree in Electrical Engineering from Purdue University in 2019. His Masters thesis was on fault tolerance in consensus algorithms in distributed systems. He is currently pursuing his Ph.D. under the guidance of Dr. Kaushik Roy. His research interests include improving efficiency and security in distributed deep learning 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.
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.
Arani Roy
Arani Roy completed her B.E. degree in Electronics and Telecommunication from Jadavpur University, India in 2018. After B.E., she joined Samsung Semiconductors R&D in the Library Design and benchmarking team as a senior engineer, later promoted to associate staff engineer. She joined Purdue in fall 2021 and is currently pursuing her PhD under the guidance of Prof. Kaushik Roy. Her primary interests lie in circuit and architecture design for neuromorphic computing applications.
Arjun Roy
Arjun graduated from the University of Colorado at Boulder in 2016 with a B.S. in Mechanical Engineering. Following graduation he joined HeartFlow, a medical imaging AI startup located in the San Francisco Bay Area. Arjun dedicated 4 years as a Research Engineer working on computational geometry, fluid-dynamic simulations and medical image processing of the coronary artery system and an additional 2 years as a Senior Data Engineer developing a cloud-based centralized data lake-house for internal analytics. Motivated by these experiences and a longing for continued academic growth he joined Purdue University in 2022 under Prof. Kaushik Roy to pursue his Ph.D. in Electrical and Computer Engineering (ECE) with research focusing on computer vision and neuromorphic computing.
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 at 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. In Fall 2019, he joined the Center for Brain-Inspired Computing (C-BRIC) as a research assistant in the School of Electrical and Computer Engineering at Purdue University where he is currently a PhD candidate, expecting to graduate in Spring 2025, specializing in Artificial Intelligence (AI) and Robotics . He has extensive experience in exploring algorithm-architecture co-optimization of AI-powered systems, using Python and C++ , with working understanding of Learning-based Control, Computer Vision, Planning Algorithms and Computer Hardware Systems. He interned at Synopsys Inc in the summer of 2021, where he used Graph-based AI techniques to optimize the performance of an Electronic Design Automation (EDA) tool. His interests include Research and Development in Embodied AI Systems and/or Robotics.
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.
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.