معرفی
Dr. Apurva Narayan is an Affiliate Professor in Computer Science and Data Science, and an Associate Member in Mechanical Engineering at the University of British Columbia's Irving K. Barber Faculty of Science. His research focuses on artificial intelligence, machine learning (particularly explainable AI and quantum ML), data mining, cybersecurity of cyber-physical systems, and decision-making under uncertainty. He holds a PhD from the University of Waterloo (Systems Design Engineering) and a Bachelor's in Electrical Engineering from Dayalbagh Educational Institute.
Education:
- PhD in Systems Design Engineering, University of Waterloo (2015)
- Bachelor of Engineering in Electrical Engineering, Dayalbagh Educational Institute (2008)
Research Interests:
- Explainable AI/ML and quantum machine learning
- Data analytics and mining
- Safety/security of cyber-physical systems
- Graph-theoretic analysis of complex systems
- Decision-making under uncertainty
- Reverse engineering complex software systems
Awards:
- Systems Society of India Young Scientist Award (under 40)
- MITACS Accelerate Award (2013)
- Dr. T.E. Unny Memorial Award (2011)
- Multiple teaching nominations at University of Waterloo
Advising & Grants: Supervises graduate students in AI/ML and cybersecurity. Secured grants including MITACS Accelerate and Waterloo scholarships. Active in patent filings related to timed regular expressions.
Labs/Teams: Engaged in collaborations within the UBC Department of Computer Science and cross-disciplinary projects with Mechanical Engineering on system reliability and quantum computing applications.
