People

The lab

A multidisciplinary team working towards one unified goal.

CM
Cory Merkel
Lab director & principal investigator

Cory Merkel

Associate Professor, Computer Engineering

Dr. Cory Merkel joined the RIT computer engineering department in 2018. He earned his BS and MS degrees in computer engineering (2011) and a Ph.D. in microsystems engineering (2015), all from RIT. From 2016 to 2018, Dr. Merkel was a research electronics engineer with the Information Directorate, Air Force Research Lab.

His current research focuses on mapping of AI algorithms, primarily artificial neural networks, to mixed-signal hardware and the design of brain-inspired computing systems using emerging technologies such as memristors. He has published his work in several peer-reviewed conferences, journals, and books, and is also engaged in a number of STEM outreach activities.

Current research assistants
AB
Aditya Bharathi Balaji

Aditya Bharathi Balaji

Artificial Intelligence MS

Aditya is a second-year master's student in artificial intelligence and a research assistant at RIT, working on spiking neural networks, liquid state machines, and dynamical systems theory.

HH
Hagar Hendy

Hagar Hendy

Electrical & Computer Engineering PhD

Hagar is a student in the Electrical and Computer Engineering PhD program at RIT. She received her MSc from the Faculty of Engineering, Ain Shams University, Cairo, Egypt, where her research focused on designing read/write circuits for multi-bit memristor memories. Her PhD work is in neuromorphic circuit design based on memristor devices.

OU
Osita Ukwuaba

Osita Ukwuaba

Electrical & Computer Engineering PhD

Osita is a PhD student in electrical and computer engineering at RIT.

KK
Karthik Kumar

Karthik Kumar

Artificial Intelligence MS

Karthik is an MS student in artificial intelligence at RIT. His research focuses on contrastive learning for spiking neural networks, and on hardware efficiency.

JS
Justin Sostre

Justin Sostre

Mathematical Modeling PhD

Justin is a PhD student in Mathematical Modeling at RIT, working with the Brain Lab.

Alumni
2026Cole JohnsonMS Computer Engineering · ProjectExploring Forward-Forward and Spiking Architectures for Reinforcement Learning Without Backpropagation
2025Manali DangarikarMS Computer Engineering · ProjectInvestigating the effect of hardware faults and weight perturbations on adversarially-robust pruned models
2025Robbie RiviereMS Computer Engineering · ProjectReimagining Handheld Games through FPGA-based AI
2025Trent WesleyMS Computer Engineering · ProjectLiquid State Machine-Based Testing of Neuromorphic Systems
2024Blake DonleyMS Computer Engineering · ProjectIn Situ Training for Time Domain in-Memory Computing
2024Andrew TevebaughMS Computer Engineering · ProjectInvestigating the Impact of Early Exiting in Convolutional Neural Networks
2023Anusha HolavanahaliMS Computer Engineering · ThesisAn Analysis of Heterogeneous Quantization Schemes for Neural Networks
2023Yash ShahMS Computer Engineering · ProjectComparison of Pixel-Level Saliency Between CNNs and Humans when Learning to Classify Objects
2022Sabrina LyMS Computer Engineering · ThesisQuantum Solutions for Training a Single Layer Binary Neural Network
2022Rajiv NagarajuMS Computer Engineering · ThesisSemi-Supervised Video and Image in-painting
2022David PastuchMS Computer Engineering · ThesisSingle-Input Signature Register-Based Time Delay Reservoir
2022Joseph ZonghiMS Computer Engineering, RIT/KIT · ThesisTowards Real-Time Classification of Human Imagined Language
2021Daniel AdamsMS Computer Engineering · ThesisThe Application of Echo State Networks to Atypical Speech Recognition
2021Enzo CasamassimaMS Computer Engineering · ProjectExploring CNN Features in the Context of Adversarial Robustness and Human Perception
2020Andrew FountainMS Computer Engineering · ThesisExploring the Influence of Energy Constraints on Liquid State Machines