جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Biomedical Signal Processing
• +۳ مورد دیگر

Dr. S M Shafiul Hasan serves as Assistant Professor of Computer Science in the Department of Informatics and Mathematics at Mercer University's College of Professional Advancement. His academic journey includes a PhD and MSc in Electrical and Computer Engineering from Florida International University, complemented by MSc and BSc degrees from Bangladesh University of Engineering and Technology. Prior to Mercer, he conducted postdoctoral research at Emory University developing ML models for stroke recovery diagnostics. His research bridges artificial intelligence and healthcare through: Biomedical signal processing for stroke and Parkinson's diagnostics Neurovascular coupling analysis using transfer entropy EEG-based movement intention prediction systems EHR data mining for atrial fibrillation and dementia risk With 15 peer-reviewed publications since 2016 spanning IEEE Transactions, Stroke, and Frontiers in Neurology, his work demonstrates consistent translational impact. Recent publications (2023-2025) focus on contralateral neurovascular coupling in stroke patients and real-time gait intention prediction, reflecting an evolving research trajectory toward clinical implementation. As an active IEEE member, he contributes to professional discourse while mentoring students through research-intensive projects. His Emory postdoctoral experience indicates strong NIH-relevant grant activity, though specific awards aren't publicly listed. Current work integrates computer vision with prosthetic control systems, showing expansion into assistive robotics.

• Human Interface
• Intelligent Mechanical Systems
• Robotics
• +۵ مورد دیگر

LIN, Jia-Yeu is an Assistant Professor (non-tenure-track) at Waseda University's Faculty of Science and Engineering, Global Center for Science and Engineering. They currently serve as a Lecturer at Waseda University's School of Science and Engineering, International Science and Technology Center (2023.04-Present) and previously held Assistant Professor position at Waseda University (2021.04-2023.03). They also maintained a part-time lecturer role at Tokyo Design Technology Center's Robotics Department (2019.04-2024.02). Dr. Lin's educational background includes: Ph.D. in Engineering (2021.03) from Waseda University, Graduate School of Advanced Science and Engineering, Department of Integrative Bioscience and Biomedical Engineering Master's degree (2018.03) from Waseda University, Graduate School of Advanced Science and Engineering, Department of Integrative Bioscience and Biomedical Engineering Bachelor's degree (2016.01) from National Taiwan University, Department of Physics Dr. Lin specializes in robotics with particular expertise in humanoid musical robots, human-robot interaction systems, and therapeutic applications. Their research spans human interfaces, intelligent mechanical systems, and robotics applications in music performance. Notably, they've developed advanced systems for humanoid saxophonist robots capable of musical dynamics expression and contributed significantly to robot-based music therapy for individuals with Autism Spectrum Disorder, focusing on synchronization feedback systems and facial expression recognition interfaces. Dr. Lin's publication record demonstrates a strong focus on humanoid musical robotics, particularly saxophone-playing robots, with significant contributions in musical expression systems, articulation control, and performance dynamics. Their work also extends to social companion robots for elderly care (DarumaTO project) and search and rescue robotics. The interdisciplinary nature of their research bridges mechanical engineering, music technology, healthcare applications, and human-computer interaction, with consistent publication in top robotics conferences including IEEE/RSJ IROS, IEEE ICRA, and IEEE/ASME AIM. Dr. Lin teaches multiple courses at Waseda University's School of Creative Science and Engineering, including Physics Laboratory for Mechanical Engineering, Mechatronics Laboratory (multiple levels), Control Systems, and Fundamentals of Robotics. Their teaching spans both foundational and advanced topics across spring and fall semesters of 2025. Currently leading research on tactile sensation simulators for VR environments, Dr. Lin has developed an independent finger joint force feedback system that provides precise resistance at individual finger joints with forces up to 5N per joint and response time of 20ms. Previous projects include multi-sensory feedback systems for VR, instrumental ensemble systems for human-robot musical interaction, and conductor robots for emotional musical engagement, demonstrating consistent innovation in human-robot interaction systems.

• Robotics
• Artificial Intelligence
• Embedded Systems
• +۵ مورد دیگر

Pericles Tseg serves as a Lecturer in Robotics and Artificial Intelligence at the Department of Computer Science and Engineering within the School of Sciences at the European University of Cyprus since 2020. He has maintained continuous affiliation with the institution since 2003, initially serving as Special Educational Staff before transitioning to his current academic role. Academic Background: Doctoral Degree in Information Technology, Walden University (2017) Postgraduate Diploma in Computer Science, University of Texas at Austin (2003) Degree in Computer Science, University of Texas at Austin (2001) His research integrates robotics, artificial intelligence, and software engineering with practical applications in education and healthcare. Early work focused on aspect-oriented programming in embedded systems, evolving toward educational robotics and therapeutic applications. Current interests emphasize remote experimentation platforms for programming education and robotic systems for pediatric rehabilitation, reflecting a trajectory from theoretical software engineering to human-centered technological solutions. Publication trends reveal a strategic shift from foundational work in embedded systems (2006) toward applied robotics in education and therapy (2017-2018). This progression demonstrates consistent focus on solving real-world problems through technology, with increasing emphasis on user adoption studies and therapeutic implementations. The research bridges computer science with pedagogy and clinical applications, highlighting interdisciplinary collaboration. Research Leadership: EU FP6: Being on Time Saves Energy (2004-2007) as Researcher EU FP6: MUSIC (2006-2010) as Researcher Cyprus Research Promotion Foundation: iDesme (2011-2013) as Researcher Erasmus+: JOBIT (2015-2017) as Researcher EU Horizon 2020: MEDEA (2018-) as Researcher As Head of the Scientific Committee for Robotex Cyprus, he established the Cypriot branch of Robotex Estonia, managed national competitions (2017-2018), and led Cypriot teams in international events. His work connects academic research with practical STEM outreach, creating pipelines from classroom experimentation to competitive robotics.