Lab Members
Graduate Openings: I generally take in students every year. If you are reaching out please make sure you have a background in analog integrated circuits / device fabrication experience and have some form of research experience in those areas (analog integrated circuits/ device fabrication).
Undergraduate: If you reach out based on UMD databased please make sure you have read this website and specify what publication/project piqued your interest.
Dr. Sahil Shah
Dr. Sahil Shah is currently an assistant professor in Electrical Engineering at University of Maryland. The focus of our lab is to investigate circuits and system that enable low-power processing in real-time. For instance brain-machine interface that help tetraplegic patients require real-time processing of neural signals to control prosthetic devices.
Previously, I was a postdoctoral associate at California Institute of Technology (Caltech) working with Dr. Azita Emami. I work at the intersection of circuits and system, neural-engineering and embedded machine learning. As part of this research, I have developed and deployed machine learning algorithms that enables a human subject, suffering from spinal-cord injury, to control a cursor on a computer screen. Such a brain-machine interface maps the neural data recorded from the human subject to kinematics (cursor velocity or position). This work is in collaboration with Andersen lab at CALTECH. Concurrently, I also investigated novel embedded digital and mixed-signal architectures for computing these machine learning algorithms on an implantable/wearable platform.
I completed my PhD at Georgia Institute of Technology. I worked in Integrated Computational Electronics lab advised by Professor Jennifer Hasler. Here, I predominantly worked on developing energy-efficient mixed-signal integrated circuits for real-time computation and analog neural networks/bio inspired networks for analyzing physiological signals in real-time.
Before GT, I was at Arizona State University working with Dr Jennifer Blain Christen. There I mostly worked on using CMOS for bio-sensing and monitoring applications such as using CMOS ISFET for detecting pH of cell culture media. We also collaborated with the FLEX display center to use flexible display for biosensor applications.
Graduate Students
Charana Sonnadara
Charana is a Ph.D. Student at the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He received her B.Sc.(Hons) degree specializing in Electronics and Telecommunication Engineering from the University of Moratuwa, Sri Lanka. in 2019. Before joining the University of Maryland, he worked in the industry as a software engineer related to machine learning and big data systems.
Currently, his research interests include energy-efficient mixed-signal hardware for computing machine-learning algorithms and real-time signal processing algorithms.
Sayma Nowshin Chowdhury (DEVCOM Army Research Laboratory Research Associate)
Sayma received the B.Sc. degree in Electrical and Electronic Engineering from University of Dhaka in 2016 and the M.Sc. degree in Communications and Signal Processing from University of Dhaka in 2018. She worked on early detection of epileptic seizures using SVM and NN as her undergraduate research project. She received NIST fellowship from Ministry of Science and Technology of Bangladesh for her M.Sc. thesis on Multi-class Cancer Classification using Genetic Algorithms. She joined the Department of Electrical Engineering at the University of Maryland, College Park as a Ph.D. student. Her research interests includes energy-efficient hardware for computing machine learning algorithms. Currently, she is exploring novel architectures for learning efficiently on-chip.
Utku Noyan (Co-advised with Pamela Abshire)
Utku Noyan, pursuing his Ph.D. in Electrical and Computer Engineering at the University of Maryland, College Park, specializes in biochemical sensing using CMOS chips, focusing on DNA and phospholipid detection, among other pivotal biological events. He is working from the sensor and circuit interface design to biochemical surface functionalization to empirical measurements and analysis of experimental results. Committed to fostering inclusivity, Utku has excelled as a teaching assistant in undergraduate and graduate courses, notably in mixed-signal VLSI design, earning multiple departmental accolades for his teaching and mentorship. Prior to UMD, Utku graduated in the top 10% from Koc University in 2016 with dual B.Sc. degrees in Electrical and Electronic Engineering and Computer Engineering. His diverse experience spans research labs, corporations, and startups. Notably, he was selected by the Young Guru Academy as one of fifty standout volunteers, dedicating over 7,500 hours to social innovation projects, exemplifying his dedication to community service.
Current Undergraduate Students
Eli Taeckens (ENEE 499 Fall 2022, ENEE 499L Spring 2023, ASPIRE Fellowship,Outstanding ASPIRE Student Research Award ,REU Fall 2023)
Jonathan Killoran (COTS)
Mathew Chen
Jinhai Yan
Navya Khurana
Jeremy Yun
Taseen Forhad (ASPIRE Fellowship, REU Fall 2023)
Thomas Armstrong (CMSC 499A Fall 2023)
Past Undergraduates Student
Anirud Aggarwal
Sebastian Polanco (LSAMPS, ENEE 499 Fall 2022)
Hermen Lee (REU Fall 2023)
Lauren Asselta
Janaki Patel
Glenn Ray (COTS,ENEE 499 Fall 2022)
Prem Chandrasekhar (ENEE 499 Spring 2022)
Julian Ferraro (ENEE 499 Spring 2022)
Stephen Chung(ENEE 499 Fall 2021, ENEE 499L Spring 2022)