Email: syed.danish@algomau.ca
Hello!
I am currently employed as an Assistant Professor at Algoma University. Previously, I was a postdoctoral researcher and lecturer at York University under the supervision of Prof. Sotirios Liaskos. I received my Ph.D. from the Département de génie logiciel et des TI at the University ETS Montreal, Quebec, in August 2022, with Prof. Kaiwen Zhang as my advisor and Prof. Hans-Arno Jacobsen as my co-advisor. Before coming to ETS Montreal, I worked with Prof. Marios Lestas as a research assistant under the Erasmus+ mobility project at Frederick University, Cyprus. My hometown is Rawalpindi, Pakistan.
I work on green energy systems, where my main goal is to provide green energy solutions to reduce overall carbon footprints.
My principal interests include developing strategies to expand the integration of renewable energy sources and electric vehicles into the existing energy grid, providing solutions for the efficient use of energy infrastructure, and integrating blockchain networks. Recently, I have also started working on reducing the energy consumption of generative AI models, such as large language models (LLMs).
Also, I recently received the NSERC Discovery Grant (DG) for a period of five years.
For the full list of publications, please visit my Google Scholar profile. A selection of my publications is listed below.
Privacy-Preserving Energy Trading: A TEE-Based Blockchain Solution Using Secret Network - Accepted at ACM BSCI 2025
Block-FeST: Blockchain-Enhanced Federated Sparse Transformers for Privacy-Preserving RES Forecasting in Internet of Vehicles Systems - IEEE Internet of Things Journal 2025
Blockchain-as-a-Service: Architecture, Opportunities and Challenges - IEEE Internet of Things Magazine 2024
Generating Secure Workflow Designs from Requirements Goal Models Using Patterns - ER Conceptual Modelling Conference 2024 (Core A Conference)
A Blockchain-Based Privacy-Preserving Charging Station Reservation and Payment Scheme for Electric Vehicles - ACM Distributed Ledger Technologies Journal
Block-FeDL: Electric vehicle charging load forecasting using federated learning and blockchain - IEEE Transactions on Vehicular Technology 2024
Blockchain for energy credits and certificates: a comprehensive review - IEEE Transactions on Sustainable Computing 2024 (Work with Hydro-Quebec)
BlockAIM: a neural network-based intelligent middleware for large-scale IoT data placement decisions - IEEE Transactions on Mobile Computing 2022
BlockEV: Efficient and secure charging station selection for electric vehicles - IEEE Transactions on Intelligent Transportation Systems 2021
BlockAM: An adaptive middleware for intelligent data storage selection for Internet of Things - IEEE DAPPS 2020 (Best Paper Award - Acceptance Rate 18%)
Network intrusion detection system for jamming attack in lorawan join procedure - IEEE ICC 2018
COSC5806 - Data Analysis with Python
COSC5856 - Introduction to Cybersecurity
COSC5437 - Neural Networks and Deep Learning
COSC5206 - Graduate Seminar
COSC1047 - Introduction to Computer Science II
ITEC 1610 - Introduction to Computer Programming (York University)
ITEC 2610 - Object-Oriented Programming (York University)
Have a look at my Youtube Channel, where I teach Web3 blockchain development!