Mohamed Abouelenien, Ph.D.

Associate Professor, Computer and Information Science
Mohamed Abouelenien
College of Engineering and Computer Science
Computer and Information Science
DAIR
[email protected]
313-593-3963
213 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128
schedule Zoom, Mondays 3:30 - 5:45 pm
link http://www-personal.umich.edu/~zmohamed/
Michigan Expert (MExpert) Profile

Teaching Areas:

Economics and Computation, Computer and Information Science, Data Science

Research Areas:

Data Science, Machine Learning, Optimization, and Intelligent Systems, Operations Research and Decision Science, Wearable Sensors

Biography and Education

Education

  • Ph.D., University of North Texas
  • M.S., Arab Academy for Science and Technology
  • B.S., Arab Academy for Science and Technology

Teaching and Research

Courses Taught

Selected Publications

  1. K. Das, M. Papakostas, K. Riani, A. Gasiorowski, M. Abouelenien, M. Burzo, and R. Mihalcea, “Detection and Recognition of Driver Distraction Using Multimodal Signals” in ACM Transaction on Interactive Intelligent Systems. Accepted, 2022.
  2. U. M. Sen, V. Perez-Rosas, B. Yanikoglu, M. Abouelenien, M. Burzo and R. Mihalcea, “Multimodal Deception Detection using Real-Life Trial Data” in IEEE Transactions on Affective Computing, 13(1): 306-319, 2022.
  3. 1. S. Sharak, K. Das, K. Riani, M. Abouelenien, M. Burzo, R. Mihalcea, “Contact Versus Noncontact Detection of Driver's Drowsiness” in the 26th International Conference on Pattern Recognition, ICPR, Canada, August 2022.
  4. M. Papakostas, K. Das, M. Abouelenien, R. Mihalcea, M. Burzo, “Distracted and Drowsy Driving Modeling Using Deep Physiological Representations and Multitask Learning” in Applied Sciences, 11(1):88, 2021.
  5. M. Kamboj, C. Hessler, P. Asnani, K. Riani and M. Abouelenien, "Multimodal Political Deception Detection," in IEEE MultiMedia, vol. 28, no. 1, pp. 94-102, 2021.
  6. M. Abouelenien and M. Burzo, “Detecting Thermal Discomfort of Drivers Using Physiological Sensors and Thermal Imaging,” in IEEE Intelligent Systems, Vol. 34, No. 5, pp. 3-13, 2019.
  7. M. Abouelenien, M. Burzo, V. Pérez-Rosas, R. Mihalcea, H. Sun and B. Zhao, “Gender Differences in Multimodal Contact-Free Deception Detection,” in IEEE MultiMedia Journal, Vol. 26, No. 3, pp. 19-30, 2019.
  8. A. Kumbhar, M. Savargaonkar, A. Nalwaya, C. Bian and M. Abouelenien, “Keyword Extraction Performance Analysis,” in MPRAG in 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, March 2019.
  9. X. Yuan, L. Xie, and M. Abouelenien “A Regularized Ensemble Framework of Deep Learning for Cancer Detection from Multi-class, Imbalanced Training Data”, Pattern Recognition, 77:160–172, 2018.
  10. M. Abouelenien, V. Perez-Rosas, R. Mihalcea, and M. Burzo, “Detecting Deceptive Behavior Via Integration of Discriminative Features from Multiple Modalities”, IEEE Transactions on Information Forensics and Security, vol. 12, no. 5, pp. 1042-1055, 2017.
  11. M. Abouelenien, V. Perez-Rosas, R. Mihalcea, and M. Burzo, “Multimodal Gender Detection”, 19th ACM International Conference on Multimodal Interaction, ICMI 2017, Glasgow, Scotland, November 13-17th, 2017.
  12. M. Abouelenien, V. Perez-Rosas, B. Zhao, R. Mihalcea, and M. Burzo, “Gender-based Multimodal Deception Detection”, 32nd ACM Symposium on Applied Computing, ACM SAC 2017, Marrakesh, Morocco, April 2017. 
  13. M. Abouelenien, M. Burzo, R. Mihalcea, "Human Acute Stress Detection via Integration of Physiological Signals and Thermal Imaging", 9th ACM Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2016, Corfu, Greece, July 2016. 
  14. M. Abouelenien, and M. Burzo, and R. Mihalcea  “Cascaded Multimodal Analysis of Alertness Related Features for Drivers Safety Applications” ACM 8th international conference on Pervasive Technologies Related to Assistive Environments, PETRA 2015, Corfu, Greece, July 1-3, 2015.
  15. M. Abouelenien and X. Yuan “SampleBoost: Improving Boosting Performance by Destabilizing Weak Learners Based on Weighted Error Analysis” In Proceedings of 21st IEEE International Conference on Pattern Recognition, IEEE ICPR 2012, Tsukuba, Japan, November 11-15, 2012.

Awards and Recognition

  • 2019  Toyota Research Institute research grant
  • 2019  Procter & Gamble research grant
  • 2019  ETS research grant
  • 2019  Ford-UM Research Alliance research grant
  • 2016  Best Paper Award, ACM PETRA 2016
  • 2009-2013  Academic Achievement Scholarship (AAS) - University of North Texas UNT
  • 2013­  Ranked number one for the Thesis/Dissertation fellowship in the college of engineering at UNT
  • 2012 Nominated for the best paper/poster award in the ICMLA’2012 conference
  • 2006-2008  Academic Scholarship of the Arab Academy - AAS
  • 2005 Degree of honor, Arab Academy for Science and Technology - AAST