Introduction
My research group investigates efficiency, scalability, and sustainability in modern computing and cyber-physical systems. By developing rigorous methodologies to quantify and reduce energy consumption and carbon footprint, our work aims to enable sustainable system operation and support the transition toward net-zero emissions by 2050.
Principal Investigator
Syed Muhammad Danish is an Assistant Professor at Algoma University. Previously, he was a postdoctoral researcher and lecturer at York University under the supervision of Prof. Sotirios Liaskos. He received his Ph.D. from ETS Montreal in August 2022, advised by Prof. Kaiwen Zhang and co-advised by Prof. Hans-Arno Jacobsen. Prior to joining ETS Montreal, he served as a research assistant at Frederick University, Cyprus, under the Erasmus+ project. His research focuses on sustainable and intelligent systems, spanning green energy, blockchain technologies, and energy-efficient AI.
Current Students
Former Students
Research Publications
For a complete list of my research output, please visit my Google Scholar profile. A selection of recent publications is listed below.
View all papers on Google Scholar →
Teaching
Graduate
• COSC5806: Data Analysis with Python
• COSC5856: Intro to Cybersecurity
• COSC5437: Neural Networks & Deep Learning
Undergraduate
• COSC1047: Computer Science II
• COSC3796: IT Security & Privacy
• COSC2956: Internet Tools
Prospective Students
If you are interested, please send an email with your CV and Transcript to syed.danish at algomau dot ca
Visit my YouTube Channel for Web3 & Blockchain tutorials.