Arash Ahmadi,
PhD, SMIEEE, P.Eng

MASc Student

Currently pursuing an MASc in Electrical and Computer Engineering at Carleton University, supervised by Dr. Arash Ahmadi. He received his B.Eng. in Biomedical & Electrical Engineering from Carleton. His research interests include embedded systems, FPGA-based hardware acceleration, and digital IC design. He has previously worked on the design of spiking neural network (SNN) accelerators on FPGAs for biomedical signal classification.

MASc Student

Currently pursuing an MASc in Electrical and Computer Engineering at Carleton University, supervised by Dr. Arash Ahmadi. He received his B.Eng. degree in Computer Systems Engineering from Carleton. His research interests include digital hardware implementation and optimization for machine learning, with an emphasis on the design of efficient FPGA-based hardware accelerators for neural networks.

MASc Student

Earned his Bachelor of Engineering at Carleton University and is currently pursuing an MASc in Electrical and Computer Engineering at Carleton University. His research focuses on leveraging FPGAs to design hardware accelerators for Spiking Neural Networks, with interests spanning digital IC design, embedded systems, and hardware reliability.

MASc Student

A Master’s student in Electrical and Computer Engineering at Carleton University under the supervision of Dr. Arash Ahmadi. He holds a Bachelor’s degree in Computer Systems Engineering from Carleton University. His research interests include embedded systems, AI/ML, and hardware acceleration.

MASc Student

Holds a B.Eng. in Microelectronics from South China University of Technology. He is currently pursuing an MASc in Electrical and Computer Engineering at Carleton University, where his research centers on microelectronics and digital IC design.

MASc Student

Received his BASc degree with distinction in Electrical Engineering from the University of Waterloo, Canada, in 2016. He is currently working as an ASIC Design Engineer at Nokia, where he is involved with hardware design of the next generation of coherent DSP ASICs for optical communications. He is also pursuing his MASc degree in Electrical and Computer Engineering from Carleton University. His research interests include low-power hardware implementation of digital signal processing and forward error correction algorithms, cryptography, and communication systems.

MASc Student

Currently pursuing a Master of Applied Science (MASc) in Electrical and Computer Engineering at Carleton University.

MASc Student

Aaron Yu is a graduate of the Master of Applied Science (MASc) program in Electrical and Computer Engineering at Carleton University, with work spanning hardware design, AI acceleration, and bio-inspired computing. His research focus is on spiking neural networks (SNNs) and how they can be used to perform energy-efficient computation through FPGA-based implementations. He is also interested in software-hardware co-design and bridging the gap between software and hardware understanding.

MASc Student

(MASc Candidate, Carleton University) is a Master’s student in Electrical and Computer Engineering at Carleton University. Her research interests include neuromorphic computing, edge AI, and hardware-efficient machine learning. She is particularly interested in implementing spiking neural networks on resource-constrained platforms such as FPGAs and microcontrollers, as well as exploring biomedical signal-processing applications.

MASc Student

A passion for music growing up led to an interest in electronics and signal processing. In pursuing this interest, integrated circuit design presented itself as a technologically relevant medium for these interests.