Assistant Professor, Department of Computer Science

Email: [email protected]

Phone: 616-331-7503

Office: DCIH 530H

Education
Ph.D. in Computer Science & Informatics, Oakland University, 2020

Asynchronous Courses: CIS 335-3

Dr. Reihaneh Hariri is an Assistant Professor in the College of Computing, specializing in big data analytics, artificial intelligence, and search-based software engineering. Her research explores uncertainty mitigation in cyber-physical and self-adaptive systems, with applications in smart home technologies for cognitive health monitoring, natural language processing, and AI for autonomous systems. She brings significant industry experience from Continental Automotive Systems, where she led the development and delivery of ADAS safety-critical functions and radar-based sensing algorithms. Dr. Hariri’s teaching interests include software engineering, artificial intelligence, databases, and systems analysis and design, with a focus on experiential, applied learning. She has received multiple NSF travel grants, a Grace Hopper Scholarship, and Continental AG’s "Passion to Win" award.

• R. H. Hariri, E. M. Fredericks, and K. M. Bowers, "Uncertainty in big data analytics: survey,
  opportunities, and challenges," *J. Big Data*, vol. 6, no. 1, pp. 1-16, 2019.
• K. M. Bowers, E. M. Fredericks, R. H. Hariri, and B. H. Cheng, "Providentia: Using search-based
  heuristics to optimize satisficement and competing concerns between functional and non-functional
  objectives in self-adaptive systems," *J. Syst. Softw.*, vol. 162, p. 110497, 2020.
• E. M. Fredericks, K. M. Bowers, K. A. Price, and R. H. Hariri, "CAL: A smart home environment for
  monitoring cognitive decline," in *2018 IEEE 38th International Conference on Distributed Computing
  Systems (ICDCS)*, 2018, pp. 1500-1506.
• K. M. Bowers, R. H. Hariri, and K. A. Price, "3CAP: Categorizing the cognitive capabilities of
  Alzheimer’s patients in a smart home environment," in *Proc. 4th ACM SIGSOFT Int. Workshop NLP
  Softw. Eng.*, 2018, pp. 34-37.