Abhinav Parihar received his B.Tech. degree in Electrical Engineering from Indian Institute of Technology Delhi, India in 2012. Although an electrical engineer by training, Abhinav has always been interested in studying natural physical phenomena, and the workings of the brain. He is really fascinated by the idea that computing can arise just by using the physical laws of nature. At ICSRL, he is researching on building continuous time dynamical systems using circuits, like coupled oscillators and stochastic spiking neurons, based on new post-CMOS devices which have the capability to compute.
Anvesha Amravati received M.Tech in Microelectronics and VLSI from Indian Institute of Technology-Bombay in 2012. He worked on PVT tolerant analog and bio-medical circuits during his M.Tech. He has authored/co-authored 10 international Conference/Journal publications. He has won first prizes in national design contests organized by Analog Devices and Cadence in India. He was with Rambus chip technologies as a mixed signal design engineer from 2012 to 2014 working on multiprotocol DDR memory interface circuits. In Fall 2014, he has started his graduate studies at Georgia Institute of Technology and started working in ICSRL. His area of interest is in the area of mixed signal circuits and systems.
Insik Yoon received his B.S. & M.S. degrees in Electrical & Computer Engineering from Carnegie Mellon University in May 2010. After graduation, he spent five years in TLi & SK hynix as a digital circuit engineer in high speed link design. In the fall of 2015, he started his doctoral studies at the Georgia Institute of Technology and joined Integrated Circuits and Systems Research Laboratory(ICSRL). His research interests include exploration of hardware architectures for computing using emerging technologies.
Ningyuan Cao received his B.S in program of Electric Power Engineering from Shanghai Jiaotong University, China in July, 2013 and M.S in Electrical Engineering Department (specialization in Analog Circuit Design) from Columbia University in Feb, 2015. After graduation, he worked as a part-time staff-associate of CISL (Columbia Integrated Systems Lab) on project of Adaptive Sampling Model Development and research on Analog Computer applications. In this role, he was responsible for building, testing and evaluating adaptive sampling system model and exploring potential applications for the analog computing chip designed previously in various fields. In fall 2015, he started his doctoral studies at the Georgia Institute of Technology and joined the Integrated Circuits and Systems Research Laboratory (ICSRL). His research interest is mainly on exploration of ultra-low power circuits and algorithms for intelligent sensor networks.
Muya Chang is currently pursuing his PhD degree in the department of Electrical and Computer Engineering at Georgia Institute of Technology. He joined ICSRL in the Fall of 2016. His research interests include energy-efficient hardware design for distributed optimizations. Before coming to Georgia Tech, he received his B.S. degree in the department of Electronics Engineering from National Chiao Tung University, Taiwan in July, 2014. He also attended University of Illinois Urbana-Champaign, (ECE) as an exchange student for half a year during his last semester. In 2013, he joined a start-up company – M2COMM, as an intern and worked in several groups. He worked in hardware group for a year and was in charge of engineering testing and software tools development. In 2014, he transferred to production group for half a year and led a team to develop automatic testing station used for mass production. After graduation, he became a marketing engineer and was mainly in charge of building & maintaining company website. He enjoys challenges and really looks forward to his journey as a graduate student.
Aqeel Anwar received his B.S and M.S degrees in Electrical and Computer Engineering from University of Engineering and Technology (UET) Lahore Pakistan and Georgia Institute of Technology Atlanta, in 2012 and 2017 respectively. He worked in the industry as a Software Engineer for about a year until he moved to Al Khawarizmi Institute of Computer Sciences (KICS) Lahore as a Research Assistant. He also worked as a Machine Learning Engineer for a German based startup on self-driving cars. He is currently pursuing his PhD in Electrical and Computer Engineering from Georgia Institute of Technology. His research interest lies at the junction of machine learning and compressed sensing. He is working on hardware-centric machine learning algorithms.
Bitan Bhar received his Bachelors degree in Electronics and Telecommunication from Jadavpur University in 2012 and he completed his Master’s degree from IIT Mumbai in 2014. After that, he worked in Cisco Systems for two years as a system software engineer and in Samsung Semiconductor India (R&D) for one year as a hardware verification engineer. He joined Georgia Tech for his Phd as he wants to be an academic. He is really fascinated by Mathematics.
Bitan also loves stories and movies involving fantasy, magic and superheroes.
Keval Kamdar graduated with a Bachelors of Engineering(B.E.) degree in Electronics and Telecommunication from the University of Mumbai in May 2017. Being an Electronics Engineer he has always been interested in the workings of digital circuits and their topologies. Low Power and Energy efficient topologies always intrigued him. He joined Georgia Institute of Technology in Fall 2017 as a Masters Student in the ECE department. Integrated Circuits and Systems Research Laboratory(ICSRL) gave him an opportunity to work on High Performance Nanowire Systems. His research interests lie along high performance or power efficient design for devices. He also loves reading fiction books and he is really fascinated by the fundamental relation between physics and electronics.
Justin Ting is a Georgia Tech undergraduate student pursuing an Electrical Engineering major, as well as a dual minor in Music and Computer Science Theory. In the spring of 2017, he was involved in the Vertically Integrated Projects (VIP) hardware security team, where he worked on configuring an FPGA to securely boot a micro-controller. He joined ICSRL during the summer of 2017. Currently, his research involves implementing neural networks onto FPGAs, as well as FPGA control over robotic motion. When Justin is not engineering, he likes to practice either cello, piano, dance, or songwriting.