Team

As Chair of the Pervasive Systems Research Group, I lead a multidisciplinary team of about 30 members: scientific staff, postdocs, PhD and EngD candidates, and support staff. The group’s research is organised around three themes: omni-modal perception, resilient networking and distributed intelligence. Meet the full Pervasive Systems team.

This page lists the doctoral candidates and students I supervise personally.

Current PhD Candidates

• Thomas Sepanosian, PhD Thesis, Wearable Computing for Health, Co-advised with Duc Le Viet (expected graduation 2030)
• Minh Thanh Nguyen, PhD Thesis, Efficient Uncertainty Quantification (UQ) for Video-based Invisible Motion Tracking, Co-advised with Duc Le Viet (expected graduation 2029)
• Hai Long Nguyen, PhD Thesis, Neuro-symbolic AI for microfabricated fluidic sensors, Co-advised with Duc Le Viet (expected graduation 2029)
• Adarsh Nanjaiya Latha, PhD Thesis, Multi-modal Information in Drone Swarms, Co-advised with Alex Chiumento (expected graduation 2029)
• Ali Sabzi Khoshraftar, PhD Thesis, Continual Learning on Mobile Data, Co-advised with Duc Le Viet (expected graduation 2029)
• Egemen İşgüder, PhD Thesis, Design and Development of a Carbon Digital Twin for Sustainable Logistics, Co-advised with Rob Bemthuis, University of Twente (expected graduation 2028)
• Qingyu Xian, PhD Thesis, Image-Based Vibration Monitoring for Structural Health of Bridges, Co-advised with Berend-Jan van der Zwaag, University of Twente (expected graduation 2027)
• J. Gwen Qin, PhD Thesis, Collaborative Augmented Reality, Co-advised with Berend-Jan van der Zwaag, University of Twente (expected graduation 2027)
• Akhil Pallamreddy, PhD Thesis, Intelligent Speed Adaptation with E-bikes, co-advised with Yanqiu Huang, University of Twente
• Deepak Yeleshetty, PhD Thesis, Pedalling Together: Towards Collaborative Intelligence and Secure Data Sharing in Smart Connected Bicycles, co-advised with Yanqiu Huang, University of Twente

PhD and EngD Graduates

• Fatemeh Massah, EngD Thesis, Towards a Digital Twin for Sustainable Construction Site Operations, Co-advised with Rob Bemthuis, Martijn Koot and Martijn Mes, University of Twente (2026)
• Minh Son Nguyen, PhD Thesis, Underspecification of transformers in indoor localization and indoor navigation, Co-advised with Duc Viet Le and Maarten van Steen, University of Twente (October 2025)
• Sümeyye Ağaç, PhD Thesis, Enhancing Lightweight Models for Efficient Sensor-based Human Activity Recognition, Bogazici University (2024)
• Berrenur Saylam, PhD Thesis, Behavioral Markers via Wearable Devices, Bogazici University (2024)
• Aykut Yiğitel, PhD Thesis, Green Wireless Communications, Co-advised with Prof.Dr. C. Ersoy, Bogazici University (2016)

Completed MSc Theses

• Cavwin Robert Magesh, StepSight: Hands-Free Command and Control in XR Through Bilateral Foot Gestures and Eye Gaze, Co-advised with Gwen Qin and Berend Jan van der Zwaag, University of Twente (October 2026)
• Sakshi Chonkar, Silent Speech Recognition using Earables: Technology and User Evaluation, Co-advised with Dennis Reidsma, University of Twente (September 2026)
• Arda Güney, Multimodal Wearable Sensing of Group Activity: Understanding, Recognizing and Predicting Collaborative Group Activities from Wearable Sensor Data, Co-advised with Gwenn Englebienne, University of Twente (August 2026)
• Nina Schoppe, Using Gradient-Based Analysis for Sensor-Fault Detection in Federated Learning in the Context of Cyber-Physical Systems, Co-advised with Berend Jan van der Zwaag, University of Twente (August 2026)
• Damian Gonzalez Gonzalez, MSc thesis: A Lightweight Ensemble Framework for Sensor Fault Detection and Sensor Fusion in Earable Devices, University of Twente (November 2025)
• Bambang Muharto, MSc thesis: Silent Communication in High Noise Environments Using Earables: A Multi-Modal Sensing Approach University of Twente (August 2025)
• Sidhharth Balakrishnan, MSc thesis: Earable-Based Visual Distraction Monitoring in Cyclists, University of Twente (June 2025)
• Gergana Georgieva, MSc thesis: Leveraging Earable Sensors for Lightweight Gait-Based User Recognition, University of Twente (February 2025)
• Yixiang Lu, MSc thesis: Resource-Efficient Deep Learning For Mobile Activity Recognition On Edge Devices, University of Twente (January 2025)
• Egemen İşgüder, MSc Thesis, Fedopenhar: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition, Bogazici University (2024).
• Sevda Özge Bursa, Msc. Thesis, On-Device Deep Learning for Mobile and Wearable Computing, Co-advised with Assoc. Prof. Gülfem Işıklar Alptekin, Galatasaray University (2022).
• Ceren Baş, Msc. Thesis, Time Series Analysis With Deep Learning Approaches For Industry 4.0, Galatasaray University (2019).
• Hasan Can Volaka, Msc. Thesis, Continuous Authentication On Smartphones Through Behavioral Biometrics, Galatasaray University (2019).
• Okan Engin Başar, Msc. Thesis, Augmenting Authentication with Behavioral Biometrics in a Mobile Banking Application, Galatasaray University (2019).
• Merve Kaya, Msc. Thesis, Classification of Students’ Mood from Their Mobility, Co-advised with Assist. Prof. Ece Gelal Soyak, Bahçeşehir University (2019).
• Kadriye Doğan, Msc. Thesis, Mobile Device Identification Via Sensor Fingerprinting Based On User Behavior Analysis, Galatasaray University (2019).
• Sümeyye Ağaç, Msc. Thesis, Smoking Recognition Using Smartwatch Sensors, Galatasaray University (2019).
• Tonguç Çataklı, Msc. Thesis, Continuous Authentication with Behavioral Biometrics on Mobile Devices, Galatasaray University (2018).
• Murat Cihan Sorkun, Msc. Thesis, Time Series Forecasting on Solar Radiation Using Deep Learning, Galatasaray University (2018).
• Berrenur Saylam, MSc. Thesis, A Detailed Analysis of Human Activity Recognition Using Smartphone Motion Sensors, Galatasaray University (2017).
• Selek Ceren Çelik, MSc. Thesis, Semantic Place Prediction from Mobile and Activity Data, Galatasaray University (2016).
• Yunus Emre Üstev, MSc. Thesis, User, Device, Orientation and Position Independent Human Activity Recognition On Smartphones, Co-advised with Prof. C. Ersoy, Bogazici University (2015).
• Didem Gündoğdu, MSc. Thesis: Countrywide Anomalous Incident Detection From Aggregated Mobile Phone Data, Co-advised with Assist. Prof. Albert Ali Salah, Bogazici University (2014).
• Erman Doğan, MSc. Thesis, Efficient Feature Extraction for Human Activity Recognition on Smartphones, Co-advised with Prof. C. Ersoy, Bogazici University (2013).