جست‌وجوی استاد و پژوهشگر

• Experimental Psycholinguistics
• Morphosyntax
• Language Change Mechanisms
• +۳ مورد دیگر

Clay Beckner is an Associate Professor in Applied Linguistics at the University of Warwick. His research focuses on experimental psycholinguistics, morphosyntax, mechanisms of language change, iterated learning, and complex systems from a usage-based perspective. He holds a Ph.D. from the University of New Mexico (2013), where his thesis explored dynamic mental lexicon through experiments on multi-word 'prefabs'. From 2013-2018, he worked at the New Zealand Institute of Language, Brain & Behaviour, studying interspeaker alignment, iterated learning, and human-machine interaction. Recent work examines non-Māori speakers' implicit knowledge of Māori sound patterns through experimental studies in New Zealand. His research interests include the interplay between language usage and structure across lifespans, diachronic processes, and social influences on linguistic systems. Key contributions address lexical representation, morphological variation, and the role of ambient exposure in language knowledge. He has collaborated extensively on projects involving iterated learning tasks, human-robot interaction, and cross-linguistic attractor dynamics. Award details: No specific awards mentioned in the text. Grants and advising: No explicit grant details provided. No listed advisees/students. His work often involves interdisciplinary teams, including studies with robots and cross-cultural language experiments. Labs/Teams: Affiliated with the University of Warwick's Applied Linguistics program and previously the New Zealand Institute of Language, Brain & Behaviour.

Yingzi Linمشاهده پروفایل

استاد

• Human-Machine Systems
• Biosensing
• Transportation Safety
• +۳ مورد دیگر

Dr. Yingzi Lin is a Professor and Chair of Mechanical and Industrial Engineering at Northeastern University, Boston, MA. She directs the Intelligent Human-Machine Systems (IHMS) Laboratory and specializes in human-machine systems, biosensing, and human factors in healthcare and transportation safety. Her research is funded by NSF, NIH, NIST, and industry partners like GM and Bose. Education: PhD (2004), Mechanical Engineering from the University of Saskatchewan. Research Interests: Includes human-robot interaction, driver-vehicle systems, patient safety, and multimodal pain assessment. She develops technologies like the COMPASS system for objective pain measurement and cognition-driven navigation tools for firefighters. Key Grants: Principal Investigator for NSF-funded projects on pain assessment and Co-PI for NIH-funded VR-based stroke recovery studies. Collaborates on NIST initiatives for firefighter spatial systems. Awards: NSF CAREER Award (2010), NSERC UFA (2004), IEEE Computational Intelligence Society Outstanding Paper Award (2013), and 2023 Excellence in Mentoring Award. Labs & Teams: Leads the IHMS Lab, focuses on human-technology integration and robotics. Engages in interdisciplinary collaborations through Northeastern's Institute for Experiential AI and Experiential Engineering Education.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Atsushi Hiyama is a researcher at the University of Tokyo's Graduate School of Information Science and Technology, specializing in Human-Computer Interaction (HCI) and assistive technologies. His work focuses on VR/AR systems for elderly care, rehabilitation technologies, and intergenerational interaction design. His research spans: VR-based health interventions for seniors Touchscreen interaction for aging populations Telepresence robotics and funeral webcasting systems Cultural preservation through wearable AR Haptic interfaces for skill training Publication analysis shows strong emphasis on: Gerontological applications of immersive tech (65% of recent papers) Cross-cultural systems for Japanese/Taiwanese rituals Tangible interfaces combining physical/digital interaction

Jangho Parkمشاهده پروفایل

استادیار

• Ergonomic intervention
• Assistive technology
• Postural control assessment
• +۴ مورد دیگر

Dr. Jangho Park is an Assistant Professor in the Department of Industrial & Systems Engineering at Texas A&M University. His research focuses on ergonomic interventions, assistive technologies (e.g., exoskeletons), and biomechanical modeling to enhance workplace safety and human performance. He holds a Ph.D. in Occupational Ergonomics and Safety from Virginia Tech, and master's and bachelor's degrees in Biomedical Engineering from Kyung Hee University, South Korea. Education: Ph.D., Industrial and Systems Engineering (Occupational Ergonomics and Safety), Virginia Tech M.E., Biomedical Engineering, Kyung Hee University B.E., Biomedical Engineering, Kyung Hee University Research Interests: Ergonomic interventions to reduce musculoskeletal disorders Development and assessment of assistive technologies (e.g., exoskeletons) Postural control and balance recovery mechanisms Biomechanical modeling of human movement and load-bearing Effects of vibration exposure on occupational safety Research Trends: Dr. Park’s work emphasizes the integration of biomechanics, human factors, and wearable technologies. His recent studies explore how exoskeletons affect gait dynamics, postural stability, and balance recovery, while also investigating vibration-induced risks in heavy vehicle operations. Awards & Grants: No awards explicitly listed in the provided text. His grants and funding sources are omitted due to lack of explicit mention. Labs & Teams: No specific lab affiliations or collaborative teams are mentioned in the text.

Maryam Zahabiمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Human-Computer Interaction
• Cognitive Workload Assessment
• +۵ مورد دیگر

Maryam Zahabi is an Associate Professor in the Department of Industrial & Systems Engineering at Texas A&M University, holding the Mike and Sugar Barnes Faculty Fellowship. She leads the Human-Systems Integration (HSI) Lab, focusing on enhancing human performance through Human-Systems Engineering methods. Her work addresses complex systems challenges in healthcare, transportation, and assistive technologies. Dr. Zahabi holds a Ph.D. in Industrial & Systems Engineering and a Ph.D. minor in Statistics from North Carolina State University (2017). Her research emphasizes cognitive workload assessment, human-robot interaction, and police officer performance optimization. She has pioneered studies on prosthetic device usability, in-vehicle technology for law enforcement, and adaptive training systems. Research Highlights: Developed neuroadaptive cockpit systems for pilots Created SUMA metric for accessibility-focused usability evaluation Designed adaptive training frameworks for law enforcement Recent Focus Areas: Autonomous vehicle interfaces for aging populations Cognitive workload classification via physiological signals Prosthetic device evaluation in virtual reality environments Her 2024 publications reveal growing emphasis on law enforcement technology adaptation, cognitive biases in aviation, and neuroadaptive systems. Recent awards include the IISE Early Career Award (2024) and NSF CAREER Award (2021). She actively advises PhD students like Junho Park (now Assistant Professor at Santa Clara University) and Vanessa Nasr (2024 Student Honors recipient). Dr. Zahabi’s grants include NSF CAREER funding and TEES Young Faculty support. Her lab collaborates on projects like ADAPT-LEO (Adaptive Driver Assistance for Law Enforcement) and HSI Lab’s virtual reality training systems. Current initiatives explore police vehicle cybersecurity, EMG-based prosthetic controls, and human-AI collaboration in critical tasks.

• Biomedical Engineering
• Autonomous Systems
• Robotics
• +۴ مورد دیگر

Rafael Barea Navarro is a Professor in the Department of Electronics Technology at the University of Alcalá. His research focuses on biomedical engineering, autonomous systems, robotics, artificial intelligence, and driver safety. He leads the Biomedical Engineering Research Group (GIB) and the Robótica de Servicios y Tecnologías para la Seguridad Vial (Robesafe) group. His work bridges AI applications in medical diagnostics (e.g., multiple sclerosis via OCT) and advanced autonomous vehicle technologies, including motion prediction, reinforcement learning, and real-time safety systems. Education: PhD in Electronics from the University of Alcalá (2001), with a thesis on EOG-based human-computer interfaces for mobility assistance. His research spans over 50 peer-reviewed articles since 2000, emphasizing practical applications in healthcare and robotics. Key research themes include: 1) AI-driven medical diagnostics; 2) autonomous vehicle control systems; 3) sensor fusion for navigation; and 4) driver attention monitoring. His work integrates robotics, computer vision, and biomedical signal processing. Publications emphasize interdisciplinary approaches, with recent work combining OCT and explainable AI for early disease diagnosis, and hybrid reinforcement learning frameworks for urban autonomous driving.

• Artificial Intelligence
• Robotics
• Computer Vision
• +۴ مورد دیگر

Hulya Yalcin is an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University. Her research focuses on artificial intelligence applications in robotics, computer vision, and precision agriculture. She leads projects in musculoskeletal modeling, plant phenology monitoring, and assistive technologies for elderly care. Her work contributes to UN Sustainable Development Goals related to innovation, health, and sustainable agriculture. Key projects include using deep learning for crop yield estimation and developing exergaming systems to improve elderly health. She has authored 52 research outputs and secured funding for initiatives like AISENSE (EU-funded exergames) and plant classification via computer vision. Publications span robotics control, medical engineering, and agricultural informatics. Notable contributions include knee orthosis gait learning via deep reinforcement learning and low-resource Turkish speech recognition improvements. As Principal Investigator, she manages projects on plant classification using CNNs, drone-based depth mapping, and multimodal assisted living systems. Her research bridges AI with practical applications in healthcare, agriculture, and robotics.

Cindy K Harnettمشاهده پروفایل

استاد

• Materials Science
• Optical Sensors
• MEMS (Microelectromechanical Systems)
• +۴ مورد دیگر

Cindy K. Harnett is a Professor in the Department of Electrical & Computer Engineering at the University of Louisville's J.B. Speed School of Engineering. Her research focuses on materials science, soft robotics, and MEMS technologies with applications in wearable sensors and adaptive systems. She holds a B.S. in Physics from Harvey Mudd College (1993) and a Ph.D. in Applied & Engineering Physics from Cornell University (2000). Education: B.S. in Physics, Harvey Mudd College, 1993 Ph.D. in Applied & Engineering Physics, Cornell University, 2000 Research Interests: Dr. Harnett explores advanced materials and their integration into functional systems. Key areas include: Design of stretchable optical fibers for strain-sensitive textiles MEMS-based sensors and actuators Biocompatible materials for robotic interfaces Soft robotics and adaptive mechanical systems Her recent work emphasizes developing low-cost, durable sensors and energy-efficient systems. Notably, her team pioneered strain-engineered microstructures and thermally responsive materials. Awards and Recognition: None explicitly listed in provided texts. Advising & Grants: No student names or grant details provided in source materials. Labs/Teams: Her research is concentrated within the J.B. Speed School of Engineering’s robotics and materials innovation groups, focusing on interdisciplinary projects combining mechanical, electrical, and material sciences.

Matthew Stoneمشاهده پروفایل

استاد

• Natural Language Generation
• Computational Semantics
• Knowledge Representation
• +۵ مورد دیگر

Matthew Stone is a Professor in the Department of Computer Science at Rutgers University, New Brunswick. His primary affiliations are within the School of Arts and Sciences, with cross-listed involvement in Cognitive Science and Perceptual Science. He focuses on designing conversational agents that integrate natural language understanding and generation with grounded, meaningful interactions. Key roles include teaching courses such as CS 440 (Introduction to AI) and CS 504 (Computational Modeling). His research emphasizes the computational foundations of meaning, integrating philosophy, linguistics, and AI to create systems that contextualize communication through environmental grounding, intentional reasoning, and collaborative dialogue. Notable projects include the SPUD system for natural language generation and work on multimodal interaction through gesture and facial signals. He has been funded for projects like 'Community-led Language Technology for NJ: A Design Justice Approach.' Education: PhD in Computer Science (assumed based on faculty role). Awards: Influential Paper Recognition (SIGGRAPH '94), RDI^2 Fellowship for Malihe Alikhani. Grants: Community-led Language Technology Project (2021). Stone collaborates with interdisciplinary teams and mentors students like Malihe Alikhani. His labs explore topics such as embodied conversational agents, computational pragmatics, and language grounding in robotics. Recent work emphasizes ethical and societal implications of AI, advocating for inclusive technology design.

• AI and Robotics
• Human-Robot Interaction (HRI)
• Autonomous Agents
• +۷ مورد دیگر

Dr. Abolfazl Zaraki is a Senior Lecturer in AI and Robotics at the University of Hertfordshire's Department of Computer Science, part of the School of Physics, Engineering & Computer Science. He leads the Robotics Research Group and previously held roles at Cardiff University's School of Engineering and the IROHMS Research Centre. His academic journey includes a Master's in Mechatronics from University Technology Malaysia (2010) and a PhD in Automatic Robotic and Bioengineering from the University of Pisa (2014). He has held Research Fellow positions in Italy and the UK until 2019. Dr. Zaraki's research focuses on AI-driven autonomous systems, social robotics, and assistive technologies. Key projects include the EASEL, BabyRobot, and JAMES EU initiatives, alongside the Innovate UK-funded InSight project. His work emphasizes Human-Robot Interaction (HRI), trusted autonomy, and applications in healthcare and industrial contexts. Notable contributions include the development of the Kaspar humanoid robot for autism therapy and advancements in reinforcement learning for robotic control. His recent publications (2021–2025) explore agentic AI, memory-driven systems, and personalized LLMs for HRI, alongside technical advancements in robotic control, communication systems, and bio-inspired robotics. His research bridges theoretical AI innovation with practical applications in healthcare, education, and industrial automation. Zaraki has collaborated internationally across institutions and industry partners, contributing to 35+ research outputs. His work aligns with global trends in ethical AI, explainable systems, and human-centric robotics design.

• Computer Science
• Artificial Intelligence
• Robotics

Gonzalo Esteban Costales is a researcher affiliated with the University of Leon from 2012 to 2025, specializing in Computer Science and Artificial Intelligence within the Robotics research group. His work bridges haptic simulation, robotics, and educational technology. Education: Ph.D. in Computer Science (2020), University of Leon, with a thesis on haptic simulators for expert knowledge transfer . Research Interests: Haptic simulation for surgical training and rehabilitation Robotics security in industrial environments Educational technology frameworks Version control analytics for student performance Open-source vulnerability detection tools Key Article Trends: Recent publications focus on haptic workspace optimization, threat modeling for robotic production plants, and security enhancements in continuous integration workflows. His work spans simulation design, cybersecurity, and educational applications of robotics.

• Tactile Sensors
• FPGA-Based Systems
• Robotics
• +۳ مورد دیگر

Óscar Oballe-Peinado is a professor at the Department of Electronics, School of Engineering, University of Málaga. His work focuses on tactile sensors, FPGA-based embedded systems, and robotics, particularly addressing crosstalk elimination, sensor calibration, and smart preprocessing techniques. He contributes to both academic research and educational innovations, including remote digital electronics laboratories. PhD in Electronics (University of Málaga, 2016) Active researcher in tactile sensor technology and FPGA implementations Supervisor of Raúl Lora Rivera's research on texture detection and compliance recognition His research explores advanced methods for tactile sensor optimization, including hysteresis correction, quantization error reduction, and compliance recognition algorithms. Recent publications (2023-2024) focus on smart tactile preprocessing and embedded FPGA implementations for robotics. The 2023-2024 articles emphasize his contributions to tactile sensor applications in robotic manipulation, texture detection, and compliance recognition using FPGA-based embedded systems. These works align with trends in smart sensor interfaces and real-time processing for robotics. Collaborated on improving remote digital electronics laboratories using Raspberry Pi 4 (2022) Developed FPGA-based tactile sensor suite electronics (2017)

• Computer Science
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Yang Cao is a Professor at the University of Science and Technology of China , Department of Automation, Hefei, China. He holds a PhD from Northeastern University (2004, Shenyang, China) and has active affiliations with institutions like Virginia Tech and Huazhong University of Science and Technology. Research Focus: Spatiotemporal modeling, event-based vision, 3D human-object interaction, and industrial defect detection. Publications: 15 recent articles highlight his work in diffusion models, transformers, and state-space networks for tasks like traffic emission imputation, eye tracking, and PCB defect detection. Collaborative Work: Co-authored with Zheng-Jun Zha, Wei Zhai, Yu Kang, and others in journals like IEEE Transactions on Neural Networks and CVPR Workshops. Scientific Contributions: His research bridges computer vision, machine learning, and industrial applications, emphasizing real-world challenges such as low-light enhancement and sensor fusion.

Ramin Hasaniمشاهده پروفایل

پژوهشگر

• Machine Learning
• Robotics
• Neural Networks
• +۳ مورد دیگر

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

• Information Systems
• Design Methodologies
• Product and Systems Design Engineering
• +۷ مورد دیگر

Thomas Spyrou is an Assistant Professor in the Department of Product and Systems Design Engineering at the University of the Aegean. He holds a Physics degree from the National and Kapodistrian University of Athens and a PhD in Decision Support Systems - Artificial Intelligence from the University of the Aegean. His research focuses on Information Systems, Design Methodologies, and Sustainability, with an emphasis on Decision Support Systems, Simulation, and Cybernetics. Key affiliations include the Department of Product and Systems Design Engineering at the University of the Aegean, where he has contributed to curricula development and interdisciplinary projects. His work spans design theory, digital tools for art and sustainability, and systems thinking applied to creative processes. Research interests include Design Support Systems, Biomimetic Service Design, and the integration of tacit knowledge into design frameworks. His recent projects involve tools like DDArtS for street art creation and Spyractable for tangible user interfaces. Over 50 publications highlight his contributions to design, technology, and cybersecurity.