جستجوی استاد راهنمای دانشگاهی

Mehdi Delrobaeiمشاهده پروفایل

استادیار

• Biomechatronics
• Parkinson's Disease Monitoring
• Spatial Navigation Assessment
• +۵ مورد دیگر

Mehdi Delrobaei serves as an Assistant Professor in the Mechatronics Engineering Department within the Faculty of Electrical Engineering at K. N. Toosi University of Technology. He leads the Biomechatronic Systems Research Group, directing a comprehensive research program focused on the intersection of biomechanics, artificial intelligence, and healthcare technology. His laboratory maintains active collaborations across multiple disciplines and has established itself as a significant research hub in Iran for cognitive health technologies. Dr. Delrobaei's research focuses on developing innovative biomechatronic solutions for cognitive health assessment and management. His primary areas include Parkinson's disease monitoring systems, spatial navigation evaluation using movement patterns, executive attention assessment through motion analysis, and decision-making analysis using eye tracking. His work uniquely integrates AI algorithms with biomechanical analysis to create accessible assessment tools that can replace costly equipment like EEG and dedicated eye-trackers with standard camera-based analysis. This approach addresses environmental challenges like lighting variations and camera angles while maintaining clinical validity. The research output demonstrates a clear trend toward practical clinical applications of engineering solutions, with publications spanning healthcare AI, neuroimaging, biomechanics, and cybersecurity for medical devices. His team has developed numerous algorithms for cognitive assessment, medication management systems for movement disorders, and secure healthcare data solutions using blockchain technology. Dr. Delrobaei actively supervises a substantial research group with approximately 10 current students across various academic levels, including Ph.D., M.Sc., and B.Sc. candidates. His advising approach appears to focus on interdisciplinary projects that combine engineering expertise with clinical applications, providing students with opportunities to work on meaningful healthcare challenges. The consistent stream of publications and growing student cohort indicate active research funding supporting the laboratory's operations. The Biomechatronic Systems Research Group operates from the Mechatronics Laboratory at K. N. Toosi University of Technology, with facilities including the Library Building on the first floor. The lab maintains a strong focus on translating engineering solutions into practical healthcare applications, particularly in the areas of movement disorders and cognitive assessment. The research environment emphasizes collaboration between engineering students and clinical researchers to ensure both technical innovation and clinical relevance of developed solutions.

Julie Wernerمشاهده پروفایل

مدرس

• Pediatric rehabilitation
• Neurorehabilitation
• Hand therapy
• +۵ مورد دیگر

Dr. Julie Werner serves as a Lecturer in the Department of Occupational Therapy within the College of Health, Human Services and Nursing at California State University, Dominguez Hills. She maintains active clinical work as an Occupational Therapist at Children's Hospital Los Angeles since November 2013 and as a per diem Occupational Therapist at California Hospital Medical Center since April 2010. Dr. Werner earned her Doctor of Philosophy in Occupational Science from the University of Southern California in December 2013, with a dissertation on 'Structural and functional correlates of developmental dyspraxia in the human mirror neuron system.' She also holds a Master of Arts (2008) and Bachelor of Science, magna cum laude (2007), both in Occupational Therapy from USC. Her research focuses on pediatric neurorehabilitation, with particular expertise in acute flaccid myelitis, brachial plexus injuries, and developmental coordination disorders. Dr. Werner has published extensively on the mirror neuron system and its implications for occupational therapy practice. Her recent work examines upper extremity recovery in children with neurological conditions and the effectiveness of constraint-induced movement therapy, with several publications in 2020-2021 focusing on acute flaccid myelitis rehabilitation protocols. Certified Hand Therapist (CHT) Chair of Division of Rehabilitation Research Committee at Children's Hospital Los Angeles Mentor for rehabilitation colleagues in research design and scientific writing Presenter at major conferences including American Occupational Therapy Association and Organization for Human Brain Mapping Dr. Werner's dual roles in academia and clinical practice allow her to directly translate research findings into improved patient care while training the next generation of occupational therapists. Her work demonstrates a strong commitment to evidence-based practice in pediatric occupational therapy, particularly in specialized areas of neurological rehabilitation.

• Human-Robot Interaction
• Autism Spectrum Disorder Therapy
• Emotion Recognition Systems
• +۳ مورد دیگر

Vinicius Silva is an Assistant Professor with dual appointments at the University of Minho (Department of Industrial Electronics, School of Engineering) and the Polytechnic Institute of Cávado and Ave (Department of Technologies, School of Technology). He also serves as a Research Engineer at the International Iberian Nanotechnology Laboratory since January 2024, bringing his expertise in robotics and educational technology to this prominent research institution. Dr. Silva's research focuses on the intersection of robotics, human-computer interaction, and special education. His primary areas of investigation include: Human-robot interaction for autism therapy Emotion recognition systems for children with special needs Development of assistive technologies and educational applications Gesture recognition and action recognition systems Playware technology for emotional learning Engineering education methodologies His publication trends over the past decade show a strong emphasis on robotics applications for children with Autism Spectrum Disorder, with numerous studies examining how humanoid robots can facilitate social communication and emotional recognition. His 2023-2024 output includes significant work on customizable robotic exoskeletons, machine learning for educational prediction, and the effectiveness of educational technology in engineering contexts. Dr. Silva has established recognition in his field through peer review activities for journals including Computers in Biology and Medicine, Information Processing and Management, and Research in Autism Spectrum Disorders, demonstrating his standing within the academic community. His research is conducted through the Robotica-Autismo Research Group, which develops and tests innovative technologies to support children with autism in educational and therapeutic settings. The group's work spans web applications for emotion learning, serious games for emotional recognition, robotic systems for social interaction, and engineering education tools, reflecting a comprehensive approach to assistive technology development.

• 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.

Mariel Alfaro-Ponceمشاهده پروفایل

استادیار

• Artificial Intelligence
• Rehabilitation Devices
• Intelligent Bioinstrumentation
• +۴ مورد دیگر

Mariel Alfaro-Ponce serves as an Assistant Professor in the Biomedical Engineering Program at Tecnológico de Monterrey's Campus Ciudad de México, where she leads the Manufacturing Processes for Advanced Materials research unit since 2022. Her academic journey spans biomedical engineering, microelectronics, and computer science, creating a unique interdisciplinary profile that bridges engineering disciplines with practical healthcare applications. Dr. Alfaro-Ponce earned her Bio-medical Engineering degree, Master of Science in Microelectronics Engineering, and PhD in Computer Science from Instituto Politécnico Nacional in Coyoacán, Mexico. This educational foundation has enabled her to develop innovative approaches at the intersection of multiple engineering disciplines. Her research program demonstrates remarkable breadth across several interconnected domains. She applies artificial intelligence techniques to develop rehabilitation devices and intelligent bioinstrumentation systems, with particular focus on neural network applications for medical diagnostics and prosthetics. Her work extends into sustainable manufacturing processes, including advanced 3D printing applications for both medical devices and food systems. The integration of machine learning with traditional engineering problems represents a consistent thread throughout her research portfolio, demonstrating how computational approaches can solve practical engineering challenges in healthcare and manufacturing. Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated applications of AI in biomedical contexts, with growing emphasis on sustainable manufacturing solutions. Her work spans from fundamental neural network research to practical implementations in medical devices, food engineering, and environmental applications. The interdisciplinary nature of her research connects computer science, electrical engineering, mechanical engineering, and biomedical applications through the unifying framework of machine learning and intelligent systems. National System of Researchers of Mexico (SNI-Level I) Mexican Researcher Certification - Level 1 Dr. Alfaro-Ponce's academic leadership extends beyond her research publications to include significant educational contributions. She teaches advanced courses including Design of Digital Bioinstrumentation Systems and supervises doctoral research across multiple disciplines. Her expertise aligns with multiple UN Sustainable Development Goals, particularly in areas of good health and well-being, industry innovation, responsible consumption, and clean energy. The practical orientation of her research suggests strong potential for technology transfer and real-world implementation of her innovations in medical devices and sustainable manufacturing systems. As leader of the Manufacturing Processes for Advanced Materials research unit in Mexico City, Dr. Alfaro-Ponce oversees a multidisciplinary team working at the cutting edge of sustainable manufacturing technologies. Her research group focuses on integrating artificial intelligence with advanced materials processing, particularly in medical device development and sustainable food production systems. The team's work demonstrates strong connections between theoretical machine learning approaches and practical engineering implementations across multiple application domains.

Yeganeh Madadiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Robotics
• +۴ مورد دیگر

Dr. Yeganeh Madadi is an Assistant Professor in the Department of Computer Science at Appalachian State University (ASU), within the College of Arts and Sciences. She serves as the Director of the Computer Science Robotics Lab, established in June 2025. Her educational background includes a Ph.D. in Computer Engineering, Artificial Intelligence, and Robotics awarded in 2020, followed by a postdoctoral position at the Data Mining and Machine Learning Lab at the University of Tennessee Health Science Center (UTHSC). Dr. Madadi's research spans artificial intelligence and robotics with healthcare applications. Her primary interests include: Artificial Intelligence (AI) Machine Learning (ML) Robotics Transfer Learning (TL) Domain Adaptation (DA) Bioinformatics Generative AI She applies these technologies to medical challenges, including ophthalmic diseases and pediatric autism care, while exploring generative AI's industrial transformations. Her recent publications demonstrate strong trends in healthcare AI, notably a paper in IEEE Transactions on Medical Imaging (August 2025) on medical imaging applications. Current projects like the NSF-funded research and autism care initiative reflect her focus on interdisciplinary AI solutions for real-world medical problems. Dr. Madadi has secured multiple competitive awards: National Science Foundation (NSF) Grant, Division of Information and Intelligent Systems (IIS) University Research Council Grant for Revolutionizing Autism Care with AI-Driven Humanoid Robots to Enhance Pediatric Patient Communication SAFE Fund (The Billy and Del Hunt Helton Faculty Excellence Fund) ORAU Ralph E. Powe Junior Faculty Enhancement Grant CAS Research/Proposal Development Summer Grant Graduate Research Associate Mentoring (GRAM) award As Robotics Lab Director, she leads research teams in developing humanoid robots for pediatric communication and medical imaging. Her GRAM award involvement demonstrates active graduate student mentoring, while her NSF grant and autism project showcase commitment to impactful healthcare innovation. The Computer Science Robotics Lab (roboticslab.cs.appstate.edu) serves as ASU's hub for robotics innovation, supporting projects from medical applications to educational initiatives like the Introduction to Robotics course funded by the SAFE Fund.

Jiabin Shenمشاهده پروفایل

دانشیار

• Developmental Psychology
• Injury Prevention
• Cognitive Rehabilitation
• +۷ مورد دیگر

Dr. Jiabin Shen serves as Associate Professor in the Department of Psychology at the University of Massachusetts Lowell's College of Fine Arts, Humanities and Social Sciences, while co-directing the Center for Neurodiversity Education, Support and Training (NEST) and leading the Pediatric Injury Research Lab. His work bridges developmental psychology with innovative technology applications to address critical pediatric health challenges. His academic credentials include: Doctor of Philosophy (Ph.D.) in Life-Span Developmental Psychology from the University of Alabama at Birmingham Master of Education (M.Ed.) in Developmental and Educational Psychology from East China Normal University, Shanghai Bachelor of Science (B.S.) in Psychology from Zhejiang University, Hangzhou Dr. Shen's research centers on technology-assisted injury prevention and rehabilitation for children, adolescents, and young adults. He specializes in virtual and augmented reality interventions for traumatic brain injuries, with additional expertise in autism, ADHD, cognitive rehabilitation, and national database analysis. His methodology integrates randomized clinical trials with neuroimaging techniques like functional near-infrared spectroscopy (fNIRS) to develop evidence-based solutions for real-world safety challenges. Analysis of his publication record reveals consistent focus on pediatric injury mechanisms and prevention strategies, particularly through immersive technologies. His work spans diverse areas including dog bite prevention, drowning reduction, and pedestrian safety, with strong emphasis on culturally adapted interventions for rural populations and neurodiverse youth. The systematic reviews and meta-analyses in his portfolio demonstrate methodological rigor while identifying effective behavioral interventions. His scientific contributions have been recognized through: Early Career Scholarship Award (2020) from the American Congress of Rehabilitation Medicine Most Cited Paper Award (2018) from the Journal of Pediatric Psychology Outstanding Postdoctoral Scientist for Clinical Research (2018) from Nationwide Children’s Hospital APA Achievement Award for Early Career Professionals (2016) Dr. Shen has secured substantial research funding as Principal Investigator on multiple NIH R00 and K99 grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), focusing on virtual reality rehabilitation systems for pediatric traumatic brain injuries. Additional funding includes sponsored research from Nationwide Children’s Hospital Foundation for caregiver education programs and Ohio state grants for implicit bias training and cognitive assessment tools. His grants consistently emphasize translational research that converts laboratory findings into practical clinical and community applications. The Pediatric Injury Research Lab under his direction employs multidisciplinary approaches combining psychology, engineering, and public health to develop and evaluate safety interventions. Current initiatives include virtual reality executive function training, caregiver brain education programs, and culturally tailored injury prevention strategies for rural Chinese communities, reflecting his commitment to global health impact through technology-enhanced solutions.