Dr. Ali Sadeghi-Naini
Ali Sadeghi-Naini is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Lassonde School of Engineering, York University. He received his MSc in Artificial Intelligence from Tehran Polytechnic University in 2006 and his PhD in Biomedical Engineering from the University of Western Ontario in 2011. He did his postdoctoral fellowship in Medical Biophysics and Radiation Oncology at Sunnybrook Health Sciences Centre and University of Toronto. The focus of his inter-disciplinary program of research is to develop quantitative imaging and intelligent biomarker technologies for precision medicine and personalized therapeutics.
Affiliations:
Assistant Professor, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University.
Associate Member, Vision Science to Applications (VISTA) Program, York University
Member, Center for Innovation in Computing at Lassonde (IC@L), Lassonde School of Engineering, York University.
Contact Information:
Office: LAS 3047, Lassonde Building, York University; Phone: (416) 736-2100 Ext. 0590; Email: asn{at}yorku.ca
Dr. Babak Majidi
Babak Majidi received the BSc and MSc degrees in computer engineering from University of Tehran, Tehran, Iran, in 2000 and 2003, respectively. He received the PhD degree in computer engineering from Swinburne University of Technology, Melbourne, Australia in 2014. He is currently Assistant Professor in Department of Computer Engineering, Khatam University, Tehran, Iran. His main research interests include applied machine learning, big data analytics, computer vision and remote sensing for smart city and smart rural area management. His research projects include internet of things based solutions for smart farming and livestock management, big data platform for machine learning based modelling of agricultural and environmental remote sensing data, autonomous interpretation of rural aerial videos, data fusion for smart agricultural, humanoid robot based service provision and various smart city solutions using machine learning and deep learning.
Affiliations:
Assistant Professor, Department of Computer Engineering and Director of Robotics and Artificial Intelligence Laboratory, Faculty of Engineering, Khatam University,
Contact information:
North Shiraz Street, Tehran, Iran, Email: b.majidi@khatam.ac.ir, Tel. (+98) (939 964 9700)
Dr. Ghassem Tofighi
Professor, School of Applied Computing
Ghassem Tofighi received a BSc in electrical engineering (Communication) from Sharif University of Technology in Tehran, Iran, in 2006. He continued his academics and pursued a MSc in computer engineering (Artificial Intelligence) from the University of Isfahan, Iran in 2011. In January 2017, Ghassem defended his thesis and graduated with a Ph.D. in electrical and computer engineering from Ryerson University, Toronto, Canada.
Ghassem has worked as a curriculum developer, and an instructor for data science, machine learning, deep learning, electrical and computer engineering, mathematics, and business management courses at Ryerson University, University of Toronto, York University and the University of Waterloo. In August 2018, he joined Sheridan College as a professor of Cognitive Computing and Machine Learning. He has also worked as a Research Scientist in Silicon Valley, USA, and as a Senior R&D Engineer in Tehran.
Ghassem's research interests are in the areas of computer vision, machine learning, deep learning, and data science. He has published several scientific papers and patents.
Contact information:
For more information about Ghassem Tofighi, please visit https://ghassem.com
Dr. Ahmed Refaey Hussein
Ahmed Refaey Hussein, Ph.D., P.Eng., SMIEEE, is an Assistant Professor at Manhattan College as well as an adjunct professor at York University. Previously, Dr. Hussein’s positions included: a Sr. Embedded Systems Architect, R&D group, Mircom Technologies Ltd. He held the responsibility to develop a strategic technology and product roadmap based on a strong research and development program. This program connects the hardware, firmware and software activities to introduce communications, security, and safety technologies, through the integration of complex networks, for various life safety applications. Also, Dr Hussein was as a Postdoctoral Fellow at ECE department, The University of Western Ontario from 2012-2013; and Professional Researcher at the LRTS lab, Laval University in the field of wireless communications hardware implementations from 2007-2011. Prior to joining Laval University, Dr. Hussein was a System/ Core Network Engineer leading a team of junior engineers and technicians in the telecom field in the three prominent companies of Fujitsu, Vodafone, and Alcatel-Lucent. Dr. Hussein received his B.Sc. and M.Sc. degrees from Alexandria University, Egypt in 2003 and 2005, respectively; and Ph.D. degree from Laval University, Quebec, Canada in 2011. Dr. Hussein is the author and Co-author of more than 50 technical papers, 1 patent granted, and 3 patent applications addressing his research activities.
Affiliations and contact information:
Assistant Professor, Manhattan College. Director of IoT research lab, Manhattan College. Adjunct Professor, York University. Email: ahmed.hussein@manhattan.edu or ahussein@cse.yorku.ca
Dr. Ali Asgary
Ali Asgary is an associate professor of Disaster & Emergency Management and the Associate Director of ADERSIM at York University. Dr. Asgary teaches Advanced Disaster and Emergency Management and conducts research in areas such as the use of information technology, GIS, artificial intelligence, simulation etc. in disaster & emergency management operations, logistics, and recovery.
Affiliations and contact information:
Ali Asgary, Ph.D.
Associate Professor, Disaster & Emergency Management & Associate Director of Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM)
School of Administrative Studies
Faculty of Liberal Arts & Professional Studies
York University, 4700 Keele Street, Toronto, M3J 1P3, ON, Canada
Tel. +1 416 736 2100 ext. 22879
