Ph.D. students
Chen Yi
Chen Yi is from Fujian province of China. He received B.Sci degree on Microelectronics from Xiamen University and M.Sci degree from Chinese Academy of Science in 2007 and 2010 respectively. He completed his Ph.D degree from Nanyang Technological University in 2015 under the supervision of Prof. Arindam Basu. He continued as a Research Fellow in the same lab to commercialize his inventions. His research is mainly focused on analog circuit design in neural recording system and neuromorphic machine learners. His first job after leaving the lab is at IME, ASTAR.
Subhrajit Roy
Subhrajit was born in Kolkata, India, in 1989. He received the B.E. degree from the Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India, in 2012. He joined as a Project Officer in the VIRTUS IC Design Centre of Excellence, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he also completed his Ph.D. degree in electrical engineering under the supervision of Prof. Arindam Basu in 2016. His research interests include neural networks, bio-inspired circuits, neuromorphic engineering, and evolutionary computation. His first job is at IBM Research, Australia working with the True North team.
Roshan Gopalakrishnan
Roshan graduated with B.E. in Electronics and Communication from Vishwesharaya Technological University (VTU) in the year 2009. Then, received his M.Tech in Electronics Design and Technology from National Institute of Technology, Calicut, India, in the year 2012. He then did his PhD at NTU under the supervision of Prof. Basu and submitted his thesis in 2015. His first job was as Research Associate in NUS.
Shaista Hussain
Shaista Hussain did her Bachelors in Electronics & Instrumentation Engg. from India. She then attended the Indian Institute of Technology, Bombay and did her Masters in Biomedical Engg. Her interest in Neuroscience developed at IIT and she went on to pursue her MS from University of Rochester, NY in 2006. There she did neurophysiology experiments to study the aspects of information processing in the visual and auditory systems. She was pursuing her PhD at the School of Electrical and Electronic Engg., Nanyang Technological University, Singapore where her work involved developing computational models that can capture the neural computations in the brain more efficiently. She submitted her thesis in 2015 and her first job is at IHPC.
Yao Enyi
Yao Enyi is from Heilongjiang Province of China. He received Bachelor of Engineering degree on Electronic Information Science and Technology from Harbin Institute of Technology in 2011. He joined NTU in July, 2011 and obtained his PhD degree under the supervision of Prof. Arindam Basu in 2016. His research interest is analog and mixed-signal IC design. He has worked as a Post-doctoral research fellow in an industrial project to commercialize his work on machine learning IC for predicitve maintenance. His first job outside NTU is at Huawei Technologies.
Jyotibdha Acharya
Jyotibdha received my B.E. degree in ECE from Jadavpur University, India in 2014. He then joined Philips Healthcare as a Graduate Engineer Trainee (Imaging Systems). Jyotibdha joined NTU in October,2015 as a Project Officer and started his PhD from January, 2016 under the supervision of Dr. Arindam Basu and graduated in 2020 from Interdisciplinary Graduate School @ NTU Singapore.
Current position: Scientist I, Institute for Infocomms Reasearch, A*STAR
Profile: LinkedIn ResearchGate GoogleScholar
Shoeb Dawood Shaikh
Shoeb received his B.E degree in Electronics and Telecommunications from the University of Mumbai in May 2012. After working as an IT Consultant for a period of two years, he went to pursue his Masters in the area of analog IC design from Masdar Institute (founded in collaboration with Massachusetts Institute of Technology), Abu Dhabi. The topic of his Master's thesis was "Design of high efficiency GaN transmitters for wireless communication" (July 2016) under the supervision of Dr. Mihai Sanduleanu. Intrigued by the fascinating world of analog electronics, he is currently pursuing his PhD (starting Aug 2016) with Dr. Arindam Basu in the area of brain-machine implants and graduated in 2020 from School of EEE @ NTU Singapore.
Current position: Data Scientist, Hutchinson
Profile: LinkedIn ResearchGate GoogleScholar
M.Eng. students
Sun Shuo
Sun Shuo received the Bachelor of Electrical and Electronic Engineering, Nanyang Technological University Singapore 2010 and submitted his thesis for an M. Engg degree at the same school in 2012. His research area is using floating-gate transistors for reducing mismatch in silicon neuron designs for neuromorphic applications. His first job is at Marvell Technology.
Dinup Sukumaran
Dinup has received a B.TECH Degree in Electronics & Communication from Cochin University of Science and Technology (CUSAT) in 2006. He worked as Hardware Board Design Engineer from 2006 to 2010 (with SCM Microsystems & Powerwave Technologies). He joined NTU in January, 2011 and submitted his thesis for a M. Eng. degree. His research focuses on design of smart sensors for wearable EEG systems. His first job is at Finisar.
Soham Chatterjee
Prior to joining NTU, Soham was a Deep Learning Research Engineer at Saama Technologies. He received his Bachelor of Technology (B.Tech) from SRM University in 2018. He graduated in 2021.
Profile: LinkedIn ResearchGate GoogleScholar
Research-Fellow (Post-doc)
Sandeep Pande
Sandeep Pande graduated in PhD (Electronics Eng.) from the National University of Ireland, Galway, Ireland in 2014 and Bachelors and Masters in Electronic Eng. studies from Nagpur University (India) in 1996 and 2000 respectively. Sandeep's PhD research contributed to various aspects of hardware Spiking Neural Network (SNN) system design. Sandeep has over 15 years of research and professional experience, working with leading european universities and semiconductor companies. His research interests include next generation cognitive systems such as nature-inspired computing techniques (including neural networks and swarm intelligence) and its application to the development of autonomous systems.
Laxmi R. Iyer
Laxmi R Iyer joined the BRAIN systems lab in August 2015. She is working on algorithms in spiking neural networks. Laxmi obtained her Ph.D. in Computer Science in 2012, at the University of Cincinnati, Ohio. For her dissertation, she worked on connectionist models of idea generation. She was a part of an NSF funded multidisciplinary project involving psychologists and neuroscientists from several universities, including Hofstra University, University of Texas, Arlington and University of Cincinnati. In the Complex Adaptive Systems Laboratory in Cincinnati, her project pioneered a larger research effort on semantic cognition involving several Ph.D. and Masters students. Laxmi was in the organizing committee of the Cognition, Action, Perception (CAP) conference in Cincinnati in years 2010 and 2011. Her work had won awards for best poster at the ECE Graduate Poster Forum, and the CAP conference. Laxmi worked at the Temasek Laboratories as a Research Scientist. She was working on models of prediction based on perception, and studying memory compression. Her effort was a part of a larger project that involved creating biologically inspired intelligent agents that can navigate an artificial world. She was invited to give a talk at the Singapore Science Center on her research to high school students as a part of a science outreach program. Her research interests include neural networks, computational neuroscience, higher order cognitive functions and creativity.
Zheng Wang
Zheng Wang is from Tianjin, China. He earned the bachelor degree in physics from Shanghai Jiao Tong University (SJTU), China in year 2007 and master degree in electronic engineering from Technische Universität München (TUM) in year 2009, Germany. From 2008 till 2009, he worked in the mobile sector of Infineon Technologies AG in Munich (currently Intel Mobile Communications) for internship and master thesis. In 2010 he joined as research associate in the institute for Communication Technologies and Embedded Systems (ICE) of RWTH-Aachen University, Germany. He achieved his doctor degree with high distinction (Summa Cum Laude) in year 2015. From Oct. 2015, he started to work with Prof. Arindam Basu in Nanyang Technological University in the field of neuromorphic machine learner and hardware security. Since Jan 2017, he is an Assistant Professor at SIAT, Chinese Academy of Sciences.
Jayasanker Jayabalan
Jayasanker Jayabalan received B.Eng. (first-class honors) degree in electronics and communication engineering from Thiagarajar College of Engineering, Madurai Kamaraj University, India, in 1987, and the M.Sc. (engg.) and Ph.D. degrees in electrical and computer engineering from The National University of Singapore, Singapore, in 2002 and 2007 respectively. He is currently a Research Fellow with the Nanyang Technological University, Singapore. He possesses over 20 years of industry and research experience in the design, development, and test of advanced very large scale integration (VLSI) digital, mixed-signal and RF devices. He has authored 18 publications in international journals and conference proceedings. His current research interests include modeling, design, DFT (design for test) and characterization of VLSI devices. He worked on PUF and DFT for on-chip MCU in the BRAIN lab. He joined IME after leaving the lab.
Sai Praveen Kadiyala
Sai Praveen Kadiyala received his B.Tech. degree in Electrical Engineering from Indian Institute of Technology in 2008 and the Ph.D. degree at the School of Information Technology, Indian Institute of Technology, Kharagpur in 2015. He worked under the supervision of Prof. Arindam Basu at Nanyang Technological University, Singapore from 2015-16. His research interests include Inexact hardware, VLSI Design, Low power VLSI, High Performance architecture, Design Automation. His first job after leaving the group is as a Research Fellow in the School of CSE, NTU.
Phyo Phyo San
Phyo Phyo San (S’10) received the B.Eng. degree from Department of Electrical Engineering, Mandalay Technological University, Myanmar in 2004, the M.Sc., M.Eng, and Ph.D. degrees from Nanyang Technological University, Singapore, National University of Singapore, Singapore and University of Technology Sydney, Australia in 2006, 2010 and 2013 respectively. From 2007 to 2010, she joined the Department of Electrical and Computer Engineering, National University of Singapore, Singapore as a Research Engineer. In 2011, she has been working as a Research Assistant at the Faculty of Engineering and IT, University of Technology Sydney, Australia. Her current research interests include design and analysis on computational intelligence technologies using evolutionary computation, fuzzy logic, and neural networks. She worked with Dr. Arindam Basu as a Post-doctoral research fellow for one year and then joined I2R.
Sougata Kar
Sougata Kumar Kar did his B.Tech. in Instrumentation Engg. from Haldia Institute of Technology, India in 2000, M.Tech. in Instrumentation and Electronics Engg. from Jadavpur University, India in 2006, Ph.D. in Electrical Engineering from IIT Kharagpur, India in 2013. Then he joined Department of E & IE at NIT Silchar as an Assistant Professor. He was a Post Doctoral Research Fellow in the School of EEE at NTU, Singapore in 2014. He was working on low power on-chip machine learning IC. His research interests also include Analog Integrated Circuit, Sensor Interfacing Electronics and Integrated Sensor Systems. His first job is as Assistant Professor at NIT Rourkela.
Mohendra Roy
Mohendra Roy received his Ph.D. in Electronic and Information Engineering from Korea University, South Korea in the year of 2016. He did his masters in BioElectronics as well as Physics from Tezpur University, India in the year of 2008 and 2006 respectively. Prior to his Ph.D., he worked in the Indian Oil Corporation Limited (from 2009 to2011) as an engineering assistant. Dr. Roy received Korea University Graduate Achievement Award in the year of 2016, the IEEE student paper award by IEEE Seoul section in Dec 2014 and Outstanding paper award in Oct. 2014 at Biochip 2014 fall Conference in South Korea. Also, he received Gold Medal from Tezpur University for the best graduate in BioElectronics program for the year of 2008. His research interests include Machine Learning, Bio-Photonics, and Bio-Sensors. His first job after leaving NTU is as an Assistant Professor at PDPU, India.
Bapi Kar
Dr. Lavanya Ramapantulu
Prior to joining NTU, Lavanya Ramapantulu worked as an Assistant Professor with the Computer Systems Group (CSG) in the Computer Science department at International Institute of Information Technology (IIIT), Hyderabad, India. Prior to joining IIIT she was a Research Fellow at the National Cyber Security Lab, Singapore. She completed her BE in Electronics and Communication from National Institute of Technology (NIT), Karnataka and MS in Microelectronics from Birla Institute of Technology and Sciences (BITS), Pilani. She received her PhD in Computer Science from the National University of Singapore in 2016. Prior to commencing her PhD studies, she had close to 12 years of research experience in the semiconductor industry. Her industry experience includes system architecture activities based on the CoreSight technology at ARM, performance analysis of the memory architecture for the nForce series of chipsets at Nvidia and design of digital signal processors at Analog Devices.
Current Position: AI Hardware Architect at AlphaICs Corporation
Profile: LinkedIn ResearchGate GoogleScholar
Dr. Joydeep Basu
Joydeep Basu received B.E. degree in Electronics & Tele-communication Engg. from Jadavpur University, India in 2009; and M.Tech. and Ph.D. from the Department of Electronics & Electrical Communication Engg. of Indian Institute of Technology (IIT) Kharagpur, India in 2011 and 2019 respectively. He received Dr. B. C. Roy Memorial Medal and University Medal from Jadavpur University in 2009. He was awarded Institute Silver Medal from IIT Kharagpur in 2011. From 2011 to 2014, he worked as Analog Engineer at Intel, Bangalore. He has been a Research Fellow in our group from 2019-2020.
Current Position: Research Fellow, Green IC Group, National University of Singapore
Profile: LinkedIn GoogleScholar
Research Associates
Prateek Karkare
I graduated from IIT Bombay in Microelectronics in 2012. After college I worked as a design engineer in IC design team in Xilinx India for 4.5 years. I am fascinated by technology and biology hence have a strong inclination towards bio-inspired tech and reconfigurable systems. I love listening to and playing music, learning and collecting different musical instruments, trekking, travelling, photography, cooking, outdoor sports and running. After spending 1.5 years in BRAIN lab, I have left to start my own company.
Aakash Patil
Aakash Patil recently joined as Research Associate in School of EEE at NTU from 2015. He received his BTech+MTech degree in Electrical Engineering from IIT Bombay, India in 2012. From 2012-2014, he worked as Product Engineer at TSMC, Taiwan, where he was involved in yield ramp up of 20nm, 16nm node. His research interest is low power & post-silicon tunable circuits & systems. Currently at BRAIN lab he is working on Neuromorphic Image Processor under the supervision of Dr. Arindam Basu. In free time he likes to play football/TT/cricket, solve Sudoku & read about semiconductor industry. Aakash has joined a startup after leaving NTU in 2018.
Rishi Raj Sidhu
I graduated from IIT Delhi in 2012. My Bachelors degree was in Electrical Engineering and Masters in Information and Communication Technology (Both from IIT Delhi). I worked with Xilinx for 2 years and made Reference designs for XADC and Signal Processing IPs. I founded a Healthcare Tech. Consultancy in 2014 and helped accelerate Scientific Discovery for various Cancer Research Pharma Companies through Data Analysis. I am very interested in Brain Like Technologies. The interest in Neuromorphic Hardware Design has brought me to NTU Singapore. I am a beginner piano player and like to listen to Hindustani Classical Music. He left NTU in 2018 to work on a startup.
Amitava Banerjee
Amitava Banerjee received his BE (Electronics and Telecommunication) from Jadavpur University India; and MS (Electrical Engineering) from Indian Institute of Technology Kharagpur. Then he worked in National Semiconductor as a Circuit Design Engineer (System Design Technology Group) and in Cypress Semiconductor as Application Engineer (System Validation - Memory product division). His area of PhD interest is Analog Circuits and System design for Biomedical Electronics. He worked under the supervision of Dr. Arindam Basu in a project of designing Low Power Artificial Neural Network IC for 1 year.
Shen Shanlan
Shen Shanlan is from Xi'an of China. He received his BE and MS in Micro Electronics from Xi'an University of Technology in the year 2009 and 2013. Then he joined NTU in Apr. 2013. and worked as a Research Associate in the School of EEE. He focusses on the Image Signal Processing and Digital Harware design. He also is familiar with the FPGA development and ASIC design. His first job is with a startup working on FPGA based image processing.
Vandana Reddy Padala
Vandana Padala received the B.Tech in Aerospace Engineering from IIT Bombay, India in 2009. She graduated from the University of Edinburgh with a Master of Science degree in Artificial Intelligence in 2010. She worked as a Research staff in multiple labs (Okinawa Institute of Science and Technology (in Japan) and Cognitive Biology Lab, Otto von Guericke University Magdeburg (in Germany)) in the interdisciplinary domains of Computational Neuroscience and Neuromorphic Engineering. She also worked in a Gurgaon based robotics start-up (Grey Orange Robotics) as a Research Engineer and designed the Cross Belt Sorter System. She joined the BRAIN lab in September 2016 as a Research Associate and worked on the implementation of the Machine Learning Algorithms on IBM’s TrueNorth and other Neuromorphic hardware to employ on field for low-power applications of video surveillance using spike-based sensors and hardware.
Profile: LinkedIn ResearchGate
Zhang Lei (Charles)
Zhang Lei is from Gansu province of China. He received a B.Eng degree on Electronic Science and Engineering from North University of China and an M.Eng degree from NTU on topic of fault tolerance design of computer system. Before joining NTU, he worked for Uniquify, a transnational IC design and service company.
Current Position: Research Associate, SCSE, NTU Singapore
Profile: LinkedIn
Project Officers
Li Fei
Li Fei received a Bachelor of Engineering degree from the school of Electrical and Electronic Engineering, Nanyang Technological University in 2007. He joined the team in March 2011 to work as a Project Officer and he submitted his PhD thesis in 2012. His research interests are bio-inspired silicon oscillators for central pattern generators and reconfigurable artificial neural networks. His first job was at DSI, ASTAR.
Aritra Bhaduri
Aritra received his B.E. degree in ECE from Jadavpur University, Kolkata in 2013. He joined the team in Sep 2014 to work as a Project Officer and is currently working on VLSI implementations of novel bio-inspired machine learning algorithms as a PhD student.
Govind Narasimman (co-supervised with Dr. Chang Chip Hong)
Govind received his B.Tech degree in Electronics and Communication Enng from National Institute of Technology Calicut in 2013. Further he worked for UTC Aerospace systems as Embedded systems Engineer. He joined the team on july 2014. Currently he works on Spintronics based design of Neuromorphic Circuits.
Deepak Singla
Deepak received his B.Tech in Electrical Engineering (Power \& Automation) from the Indian Institute of Technology, Delhi in 2018. After the graduation, he joined Nanyang Technological University, Singapore as a Project Officer in the BRAIN Systems Lab - CICS headed by Dr. Basu. Since then, he is working on IoT based applications of neuromorphic vision sensors and designing low computational cost and reliable systems for the same. His research interests include neurmorphic engineering, brain-machine intelligence and computer vision.
Current Position: Graduate Student at Department of Bioengineering, UCLA
Profile: LinkedIn ResearchGate
Undergraduate Students
Kyathyam Suresh Indrajit
URECA project (2010): Phase Locking in Neurons: A mathematical and electronic study
Yan Yan
Wuhan FYP project (2011): VLSI models of the brain: A silicon cortex
Mohamed, Xiao Wei, Manasa, Anuja, Prerna, Abhishek, Rohit, Prashant
DIP project (2011):Bio-inspired robotic locomotion control
Lynn Koh
FYP project (2011-12): Computation in Spiking Neural Networks
Muhammad Rayhan Baihaqi
FYP project (2012-13): Low-power processors for implantable/wearable epileptic seizure detection system
Hak Yong, Yong Da, Angela, Xue Qun, Anshul, Xiaolu, Ayush, Eileen
DIP project (2013):"Intelligent" racing car
Jayanti Basu Roy
FYP project (2013-14): Control of Mismatch in VLSI Neurons: A floating-gate approach
Kavya Jahagirdar
FYP project (2013-14): Morphological Learning in Spiking Neurons: A New Hardware Efficient Machine Learning Method
Zhang Beixi
Wuhan FYP project (2014): Low-noise Sensor Interface Circuits for Implantable Brain Interfaces
Korde Swarnima Rakesh
FYP project (2014-15): On-chip Machine Learner for Spike Sorting in Implantable Brain Machine Interfaces (BMI)
Christin David Bose
URECA project (2014): Spike sorting on-chip for Implantable Neural Interface
He Tong
URECA project (2014): Neuro-inspired Machine Learning
Ivan, Dong Ye, Jiahui, Han Xiang, Jun Cheng, Dominic , Eimonison, Valerie, Xintong, Yanling
DIP project (2014):"Smart" home
Visitors
Du Yanxian
Du received his B.Comp in Computer Science and B.Sc in Mathematics from NUS in 2015. Since then, he is working as a Software Engineer in ST Electronics. He worked as a visitign research scientist for a year on Neuromorphic Vision and Machine Learning with Dr Arindam Basu.
Sangamesh Kodge Dhanaya
IIT Kharagpur, Electrical Engineering, interned in summer 2017
Saurabh Dash
IIT Kharagpur, Electronics Engineering, interned in summer 2017
Tinish Bhattacharya
IIT Delhi, Electrical Engineering, interned in summer 2018