Find Academic Supervisors

Hailong JiaoView profile

Assistant Professor

• low-power VLSI circuit design
• variations-resilient systems
• error-resilient systems
• +10 more

Hailong Jiao is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) and an Associate Professor at Peking University Shenzhen Graduate School's School of Electronic and Computer Engineering. He is also a Visiting Assistant Professor with TU/e's Electronic Systems group. His research focuses on low-power and variations-resilient VLSI circuit and system design , including error-resilient systems, approximate computing, machine learning in VLSI, ultra-low voltage circuits, and emerging devices like 3D integration and carbon electronics. Education : BSc (highest honor, 2004, Shandong University), MSc (2008, Institute of Microelectronics, Chinese Academy of Sciences), PhD (2012, HKUST). Collaborations : BrainWave project (TU/e and Radboud University Nijmegen) developing wearable brainwave processing for epilepsy/Parkinson's healthcare. Editorial Roles : Associate Editor for Elsevier Microelectronics Journal and World Scientific Journal of Circuits, Systems, and Computers. Committee Memberships : HiPEAC, MemoCiS, ACM/SIGDA, and six IEEE committees. Research Trends : Recent articles emphasize energy-efficient IoT networks , voltage stacking , sensitivity control , and scan flip-flop design , aligning with UN SDGs for energy engineering and healthcare innovation. Scientific awards include highest honor at BSc .

José Pineda de GyvezView profile

Professor

• Ultra-Low Power Design
• Variability Tolerance
• Context-Aware Computing
• +3 more

José Pineda de Gyvez is Full Professor of Resilient Nanoelectronics at Eindhoven University of Technology (TU/e), affiliated with the Electronic Systems group in the Department of Electrical Engineering. He bridges academia and industry through practical experience in classrooms and technology innovation for industrial applications. His academic background includes a PhD from TU/e (1991), MSc from Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico) and University of Toronto (Canada) (1984). He previously served as faculty at Texas A&M University (1991–1999) and as Principal Scientist at Philips Research (1999–2006) and NXP Semiconductors (2006–present). Research interests focus on ultra-low power design , variability tolerance , and context-aware computing in semiconductor technology. Key trends in his publications include energy harvesting , subthreshold circuits , flip-flop optimization , and IoT power management . His work has shifted toward wearable medical devices and ultrasonic gesture recognition in recent years. Scientific Awards: IEEE Fellow (2009) He has co-authored over 100 publications, four books, and holds more than 30 US patents. His research is funded by the Dutch Ministry of Science, US Office of Naval Research, and National Science Foundation. Current projects include STW Zero 15-06 (energy harvesting), SILENSE (smart home transducers), and Wearable Brainwave Processing Platform (seizure detection).

Patricia Arias CabarcosView profile

Professor

• Cybersecurity
• Privacy Engineering
• Biometric Authentication
• +3 more

Prof. Dr. Patricia Arias Cabarcos is a Professor in the Department of Computer Science (IT Security) at the University of Paderborn, leading the IT-Sicherheit group. She specializes in cybersecurity, privacy engineering, and human-centric authentication systems. Her research focuses on neurotechnology privacy, biometric authentication, and user-centered security design, with notable contributions to frameworks for brainwave-based authentication and privacy-preserving techniques for behavioral data. Current courses include Proseminar: Human Interaction in Privacy & Security and Accessibility, Privacy, and Identity. Her work bridges theoretical advancements with real-world usability, addressing challenges in industrial control systems, password managers, and neurotechnology data management. Publications highlight her leadership in standardizing methodologies for biometric evaluation (e.g., NeuroIDBench) and exploring public attitudes toward brain data privacy. She actively collaborates on projects like NeuroBench and Brainnet, emphasizing open-source tools for reproducible research. Her recent work (2025) advances user-centric digital identity wallets and credential audit interfaces, underscoring a commitment to practical, human-focused solutions in security. Awards and recognitions are not explicitly listed in the provided texts, but her extensive publication record and leadership roles indicate significant academic impact. Research spans over a decade, with contributions to IoT security, adaptive authentication, and privacy in eHealth systems, reflecting a broad yet cohesive focus on balancing technological innovation with ethical and user-centered principles.