CV

Research Staff in the Multimodal Language Department at the Max Planck Institute for Psycholinguistics

Research Staff in the Multimodal Language Department at the Max Planck Institute for Psycholinguistics

• Research Area: Multimodal communication and behavior: representation learning, generation, and analysis

Postdoctoral Researcher in the Dialogue Modeling Group at Institute for Logic, Language and Computation, University of Amsterdam

Postdoctoral Researcher in the Dialogue Modeling Group at Institute for Logic, Language and Computation, University of Amsterdam

• Research Area: Face-to-face dialogue modeling focuses on co-speech gesture segmentation and representation and detection and analysis of multimodal (speech and gestural) alignment.

Postdoctoral Researcher in the Cognitive Systems Group at the Department of Advanced Computing Sciences, Maastricht University

• Research Area: Explainable AI for emotion recognition, human behavioral analysis in healthcare, and self-supervised learning for sensor-based human activity recognition.
• In this position, I acted as a work package leader for the EU H2020 project: PeRsOnalized Integrated CARE Solution for Elderly facing several short or long-term conditions & enabling a better quality of LIFE (ProCare4Life)

Doctoral Researcher in the Cognitive Systems Group at the Department of Advanced Computing Sciences, Maastricht University

• Research Area: Affective Computing and Machine Learning, focusing on multimodal emotion recognition
• In this position, I co-represented Maastricht University tasks within the EU H2020 project: Managing Affective-learning THrough Intelligent atoms and Smart InteractionS (MaTHiSiS)

Research Assistant in the Smart Interaction and Machine Intelligence Technologies (SiMiT) Lab at Istanbul Technical University (ITU)

• Research Area: Computer Vision, Human-computer Interaction, Mobile Gaming, with a focus on face recognition and tracking, and retrieval of faces across age

Research Intern in Computer Vision for Human-Computer Interaction (CVHCI) Lab at Karlsruhe Institute of Technology (KIT)

• Research Area: Computer Vision, where I collected and annotated Accio: A Data Set for Face Track Retrieval in Movies Across Age, using Harry Potter movies, and used it for my master thesis.
• I visited the CVHCI again in the summer 2015, where I conducted the research for my master thesis.

Maastricht University – Ph.D., Affective Computing and Machine Learning

• Doctoral Thesis: Bimodal Emotion Recognition Through Audio-Visual Cues

Isanbul Technical University – M.Sc., Computer Engineering

• Graduated with Honors
• Master Thesis: Face Track Retrieval and Recognition Across Age

Istanbul Technical University - B.Sc., Computer Engineering

• Graduated with Honors
• Bachelor Thesis: An Energy Efficient Routing Technique and Implementation in WSNs

Nomination for best paper award

• Our paper titled Contrastive self-supervised learning for sensor- based human activity recognition was nominated for best paper award at the 2021 IEEE International Joint Conference on Biometrics (IJCB 2021).

Ranked 1st in the International Challenge on Biometric Recognition in the Wild 2016 (ICB-RW)

ITU Scholarship as project assistant within the scope of the (CAMOMILE) project

Received scholarships sponsored by the Ministries of Higher Education in both Yemen and Turkey, aimed at advancing the education of talented Yemeni students.

Graduated in the top 0.2% of high school graduates nationwide in Yemen