Das, K., Papakostas, M., Riani, K., Gasiorowski, A., Abouelenien, M., Burzo, M., & Mihalcea, R. (2022). Detection and Recognition of Driver Distraction Using Multimodal Signals. ACM Transactions on Interactive Intelligent Systems (TiiS).

Kamboj, M., Hessler, C., Asnani, P., Riani, K., & Abouelenien, M. (2020). Multimodal Political Deception Detection. IEEE MultiMedia, 28(1), 94-102. 

Riani K, Sharak S, Abouelenien M. PyraMoT: A Novel Framework for Enhanced Facial Thermal Landmarks Detection. In2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) 2024 May 27 (pp. 01-09). IEEE.

Riani, K., Sharak, S., Abouelenien, M., Burzo, M., Mihalcea, R., Elson, J., ... & Manzoor, W. (2023, January). Non-Contact Based Modeling of Enervation. In 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG) (pp. 1-8). IEEE.

Lilley, M., Das, K., Riani, K., & Abouelenien, M. (2022, December). A Topological Approach for Facial Region Segmentation in Thermal Images. In 2022 IEEE International Symposium on Multimedia (ISM) (pp. 189-193). IEEE.

Sharak, S., Das, K., Riani, K., Abouelenien, M., Burzo, M. & Mihalcea, R., (2022, August). Contact Versus Noncontact Detection of Driver's Drowsiness. In 26th International Conference on Pattern Recognition (ICPR) 

Das, K., Sharak, S., Riani, K., Abouelenien, M., Burzo, M., & Papakostas, M. (2021, October). Multimodal Detection of Drivers Drowsiness and Distraction. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 416-424). 

Riani, K., Sharak, S., Das, K., Abouelenien, M., Burzo, M., Mihalcea, R., ... & Manzoor, W. (2021, September). Towards Classifying Human Circadian Rhythm Using Multiple Modalities. In 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-8). IEEE. 

Papakostas, M., Riani, K., Gasiorowski, A. B., Sun, Y., Abouelenien, M., Mihalcea, R., & Burzo, M. (2021, April). Understanding driving distractions: A multimodal analysis on distraction characterization. In 26th International Conference on Intelligent User Interfaces (pp. 377-386). 

Riani, K., Papakostas, M., Kokash, H., Abouelenien, M., Burzo, M., & Mihalcea, R. (2020, June). Towards detecting levels of alertness in drivers using multiple modalities. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 1-9). 

Kais Riani, Mohamed Abouelenien. A Multimodal Approach To Human Circadian Rhythm Classification. Poster presented at: Michigan Data Science & AI Summit, Nov. 14-15th, 2022.

Kais Riani, Mohamed Abouelenien. Towards Classifying Human Circadian Rhythm Using Multiple Modalities. Poster presented at: CECS Doctoral Student Research Poster Showcase, Apr. 6th, 2022.

Kais Riani, Salem Sharak, Kapotaksha Das, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea, John Elson, Clay Maranville, Kwaku Prakah-Asante, Waqas Manzoor. Towards Classifying Human Circadian Rhythm Using Multiple Modalities. Poster presented at: 2021 Michigan AI Symposium, Oct. 30th, 2021. 

Kapotaksha Das, Salem Sharak, Kais Riani, Mohamed Abouelenien, Mihai Burzo, Michalis Papakostas. Multimodal Detection of Drivers Drowsiness and Distraction. Poster presented at: 2021 Michigan AI Symposium, Oct. 30th, 2021.   

Michalis Papakostas, Kapotaksha Das, Kais Riani, Mohamed Abouelenien, MIhai Burzo, and Rada Mihalcea. Multimodal Monitoring of Driver’s Alertness. Poster presented at: 2020 Dearborn AI Symposium, Nov. 30th, 2020. Dearborn, MI.

Salem Sharak, Das Kapotaksha, Kais Riani, and Mohamed Abouelenien. Circadian State Detection. Poster presented at: 2020 Dearborn AI Symposium, Dec. 1st, 2020. Dearborn, MI.

Kais Riani, Andrew Gasiorowski, Michalis Papakostas, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea. Multimodal Driver’s Alertness Detection. Poster presented at: 2019 AI Symposium, Oct. 19th, 2019. Ann Arbor,MI.

Manvi Kamboj, Christian Hessler, Priyanka Asnani, Kais Riani, Mohamed Abouelenien. Multimodal Political Deception Detection. Poster presented at: 2019 AI Symposium, Oct. 19th, 2019. Ann Arbor,MI

The Best in College Award in the 2023 Doctoral Student Poster Competition Issued by the University of Michigan-Dearborn College of Engineering and Computer Science, April 2023 

Most Innovative Use of Data Award Issued by the Michigan Data Science & AI Summit, November 2022 

NSF PETRA CONFERENCE DOCTORAL CONSORTIUM AWARD Issued by The PErvasive Technologies Related to Assistive Environments (PETRA) Conference, May 2020 

Honorable mention for outstanding paper at ACM IUI – Intelligent User Interfaces 2021 Understanding Driving Distractions: A Multimodal Analysis on Distraction Characterization