Dr. Anahita Rabii is a Postdoctoral Researcher, President of Water Environment Association of Ontario (WEAO)- Toronto Metropolice University Chapter, WEAO’s Magazine Committee, Professor of Civil Engineering Technology at George Brown College. expertise include water and wastewater treatment technologies, resource recovery, environmental assessment, and pollution control and monitoring with experience in academia and industry.
Specialized in resource recovery, climate change adaptation, water and wastewater treatment technologies, anaerobic digestion design and optimization, environmental impact assessment, solid waste management, pollution control and monitoring, report and proposal writing.
Experienced in industry and academia, treatment plant supervision, quality assurance, and R&D.
Anaita’s speech topic at the Lumesmart EarthDay Conference 2020 was: New approaches to municipal waste minimization, renewable energy utilization, and carbon footprint reduction

Environment, Conservation and Parks , Senior Manager, Wastewater Surveillance Initiative , Environmental Engineer – Air Quality , Wastewater Treatment Engineer
Bahar’s speecha topic at the Lumesmart EarthDay Conference 2020 was: Ontario’s Environmental Protection Act and our Local Air Quality

With over six years of experience as a Ph.D. Candidate at Toronto Metropolitan University, Kayvan is a passionate and innovative machine learning researcher and scientist specializing in artificial intelligence applications in health domains. He has published multiple papers in reputable journals, such as Computer Methods and Programs in Biomedicine, and won awards and recognitions for his work, such as ranking second in the Thales AI student competition.

His mission is to use my deep knowledge and skills in programming, Python, and machine learning to develop and improve solutions that can enhance the diagnosis, treatment, and prevention of various health conditions and challenges, such as traumatic brain injury, concussion, and post-trauma syndrome, different cancer grading problem, explainable AI and medical sentiment analysis. I am eager to collaborate with other researchers, scientists, and professionals who share my vision and interest in advancing the field of artificial intelligence in health.
Machine Learning researcher and scientist with deep knowledge on usage of artificial intelligence approaches in health domains , recognized by IEEE Toronto Section Appreciation of Service Award , Developing a proper cancer tissue grading system is an arduous task. One of the main challenges is the training dependency on labeled datasets. Labeling medical image datasets is time-consuming and prohibitively expensive, requiring hundreds of hours of effort from expert diagnosticians. This research work collaboration

Artificial Intelligence Initiative (AI2) lab at the Department of Computer Science Toronto Metropolitan University, Canada , Department of Surgery, Urology Mount Sinai Hospital (Toronto), Sinai Health, Department of Pathology Toronto General Hospital, Department of Surgical Oncology, Urology, The Netherlands Cancer Institute Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands, Department of Urology, University of Florence Careggi Hospital, San Luca Nuovo, Florence, Italy.

Kayvan’s speech topic at the Lumesmart EarthDay Conference 2020 was: Artificial Intelligence for the Earth