OUR TEAM

Mohammed received his BSc degree in Electronics and Communication Engineering, Al-Azhar University, Egypt, in 2017. After graduation, Mohammed joined the Nanoelectronics Integrated Systems Center (NISC), Egypt, as a research assistant, where he worked on Emerging Memory technologies and Memristors based Architectures. In 2019, Mohammed joined the Mixed-Signal Integrated Systems Lab, South Korea, and he worked on AI Hardware Accelerators. Currently, he is a research assistant at iCAS and a Ph.D. student at the UofSC, USA. His current research areas include Neuromorphic Computing, In-Memory Computing, Emerging Memory Technologies, and intelligent systems.

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.

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 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. He graduated from the University of Tehran in 2019. 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.

Brendan Reidy is currently pursuing his accelerated master's degree in computer science at the University of South Carolina. His current research interests include deep learning, hardware accelerator design for machine learning applications, and parallel computing.

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.

Blake Seekings is a junior pursuing his bachelor’s degree in Computer Science and Mathematics at the University of South Carolina. He is a recipient of the McNAIR Junior Fellows Scholarship and the Magellan Scholar Award. Blake is currently researching neuromorphic computing with spiking neural networks. In his free time, he serves as Vice-President of both the Association for Computing Machinery (ACM) and the Gamecock Math Club. His research interests include Machine Learning, Deep Learning, and Artificial Intelligence.

Heath received his B. Sc. Degree in Physics & Astronomy from the University of South Carolina in 2015. After receiving his undergraduate degree, he became the Lab Manager for the Smart State Center for Nanoscale & Low Temperature Physics at the University of South Carolina. He is now pursuing his M. Sc. Degree in Computer Engineering at the University of South Carolina while working as a Photonics Engineer at Thorlabs Inc. His current research interests include edge computing, deep learning, spiking neural networks, and machine learning methods for facial expression recognition.

Sara Hendrix is currently a freshman Carolina Scholar at the University of South Carolina Honors College pursuing a bachelor's degree in computer science. Her research interests include artificial intelligence as well as machine and deep learning. She is currently researching topics in neuromorphic computing with spiking neural networks.