About Me
I am a PhD student working on earable technology for health applications, with a focus on biosignal processing and machine learning methods for robust, real-world health monitoring. Feel free to contact me if you’re looking for thesis topics in earables, machine learning, or biosignal analysis.
Short CV
- since 2024 PhD Candidate at TECO
- 2022 – 2024 M.Sc. Medical Technology at Friedrich-Alexander-University Erlangen-Nuremberg
- 2018 – 2022 (Senior) Software Engineer at Freshworks (India)
- 2014 – 2018 B.Tech. Electrical & Electronics Engineering at SASTRA Deemed University (India)
Projects
- since 2024 KARE
- since 2024 Multi-modal stutter detection
- since 2025 Respiration rate detection across sensor modalities
Research Interests
- Biosignals
- Deep Learning
- Wearables
Teaching
Proseminar: Mobile Computing (WS/SS)
Proseminar: Designing and Conducting Experimental Studies (WS/SS)
Completed/Ongoing Theses
MA: Target Speaker Separation on edge devices (Elham Khosravi, 2024/25)
BA: Key Influencers of Consistent Physical Activity engagement (Jialu Cheng, 2025/26)
BA: Benchmarking TinyML models for PPG-based blood glucose level estimation (Markus Neufeld, 2025/26)
BA: Multimodal ML analyses to distinguish between nasal and mouth breathing with OpenEarable 2.0 (Aloïs Dieval-Lozac'h, 2025/26)
BA: Closed-Loop Rhythmic Haptic Biofeedback via Smartwatch for Sleep Onset (Iskander Rakhimov, 2026)
