OUR TEAM

Md Hasibul Amin is currently pursuing his Ph.D. in Computer Engineering at the University of South Carolina. He received his B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in 2019. His research interests include Hardware Accelerator Design for Machine Learning and Neuromorphic Computing. He is currently working on In-Memory Analog Computing in the ICAS Lab.

MohammadReza Mohammadi received his B.Sc degree in computer engineering (hardware) from Mazandaran University of Science and Technology in 2016. He pursued his master's Also in Computer engineering (Computer Architecture) at the University of Tehran. During his master's, he worked on digital design for Machine Learning algorithms. Currently, he is a Ph.D. student at the University of South Carolina. His research in the iCAS lab includes Neuromorphic computing, Digital design for Machine Learning algorithms, In-Memory Processing, and bio-inspired computing.

Blake Seekings is currently pursuing a Ph.D. in computer science. He received his bachelor’s degrees in Computer Science and Mathematics at the University of South Carolina in Spring 2023. He is a recipient of the McNair Junior Fellows Scholarship and the Magellan Scholar Award. Blake is currently researching edge computing and neuromorphic computing. His research interests include Machine Learning and Neuromorphic Computing.

Jinendra Malekar is a graduate student at the University of South Carolina. He received his Bachelor’s degree in Computer Science from the International Institute of Information Technology - Naya Raipur (IIIt-NR) in Fall 2021. His research in the iCAS lab focuses on Edge LLM, LLM Compression and Quantization, and In-Memory Computing Technologies. 

Brendan Reidy is pursuing his Ph.D. in computer engineering at the University of South Carolina. He received his bachelor's degree in computer science in Fall 2021. His research focuses on machine learning at the edge for computer vision and natural language processing applications. Brendan has led several projects including industry collaborations, various works with mixed precision neural networks, and deployment of large language models on edge AI devices. Over multiple summers, Brendan has also interned at multiple companies to research AI applications in industry.

Peyton Chandarana received his B.S.E. in Computer Engineering from the University of South Carolina, Columbia, SC, USA in 2019. Prior to joining the iCAS Lab in the spring of 2021, he worked on building an Amazon Alexa skill for healthcare applications as well as aiding in researching proteins similar to COVID-19. He is currently pursuing a Ph.D. in Computer Science at the University of South Carolina. His current interests include Neuromorphic Computing, Biologically Inspired Computing, and Bioinformatics. His research consists of Neuromorphic Computing topics.

Mahsa Majdzadeh Ardakani is currently a graduate student pursuing her master's degree at the University of South Carolina. Her research interests include neuromorphic computing, machine learning, deep learning, and hardware-software co-design. She enjoys exploring different areas of machine learning.

Aishneet Juneja is currently a graduate student working towards her master's degree at the University of South Carolina. Her research interests span across deep learning, machine learning, and edge computing. She explores various domains with an avid curiosity. Before joining the lab, she gained valuable experience as a full-stack developer, adding practical insights to her academic foundation.

Hasti Zanganeh is currently a graduate student in computer science at the University of South Carolina, having earned a bachelor's degree in mathematics in Fall 2022. Her research focuses on machine learning and neuromorphic systems, with a background of two years in researching differential equations and partial differential equations.

Arshia Eslami is a dual-degree student at the University of South Carolina, studying Neuroscience and Computer Science. He is interested in creating interdisciplinary connections between medicine and computer science. His research interests include machine learning, computer vision, and the neurobiology of stress and brain aging. 

Thesis: Real-Time Facial Expression Recognition Using Edge AI Accelerators

Integer Technologies - Senior Computer Engineer