جست‌وجوی استاد و پژوهشگر

Uri Maozمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuroethics
• Volition and Decision-Making
• +۶ مورد دیگر

Dr. Uri Maoz is an Associate Professor at Chapman University, affiliated with the Crean College of Health and Behavioral Sciences, Schmid College of Science and Technology, and Fowler School of Engineering. His research bridges computational neuroscience, decision-making, and moral philosophy, focusing on volition and the neural underpinnings of conscious action. He holds visiting roles at UCLA (Department of Anesthesiology) and Caltech (Biology and Bioengineering). Educations: Bachelor of Science in Computer Science and General Humanistic Studies, The Hebrew University of Jerusalem Ph.D. in Neural Computation, The Hebrew University of Jerusalem Research Interests: Dr. Maoz investigates how consciousness influences voluntary actions through empirical methods (EEG, intracranial recordings) and theoretical models. He explores ethical and legal implications of neuroscience, particularly regarding free will and decision-making. His work integrates machine learning for real-time neural data analysis. Key Projects: Leading the COVID-Dynamic longitudinal study on pandemic-related behavioral and emotional changes. Developing computational models of volition and neural correlates of intention. Collaborating across disciplines to address neuroethical questions. Visiting Roles: Visiting Assistant Professor at UCLA’s Department of Anesthesiology Visiting Associate in Biology and Bioengineering at Caltech Labs/Teams: Active in Chapman’s Institute for Interdisciplinary Brain and Behavioral Sciences and collaborates with the Anderson School of Management at UCLA.

Eunsik Kimمشاهده پروفایل

استاد

• Ergonomics
• Biomechanics
• Human Factors Engineering
• +۵ مورد دیگر

Eunsik Kim is a Professor at the University of Windsor , holding a position in the Department of Mechanical, Automotive, and Materials Engineering within the Faculty of Engineering . His research focuses on ergonomics, occupational safety, and biomechanics, with applications in automotive design, workplace safety, and human-machine interaction. He leads the Occupational Safety and Ergonomics research lab , where students explore real-world solutions for challenges such as driver fatigue, musculoskeletal risks in manual labor, and automation in agriculture. Key research interests include: Ergonomics : Optimizing workstation designs, automotive seating, and anti-vibration tools Biomechanics : Analyzing human posture, musculoskeletal loading, and workplace ergonomics Machine Learning : Developing AI-driven systems for posture recognition, workload prediction, and task automation Autonomous Vehicles : Investigating human factors in driving automation and takeover scenarios Education Innovation : Gamification in engineering labs to enhance student motivation and learning Collaborations include projects with Ewha Womans University (South Korea) on autonomous vehicle comfort and a prototype robotic system for mushroom harvesting. His work often bridges theoretical research with practical applications, addressing both industry and academic challenges. Awards and Recognition: Students Ilfeoma Michael and Elnaz Akhavan Rezaee received accolades at the Association of Canadian Ergonomists conference for their lab research Advising and Grants: Professor Kim mentors students in interdisciplinary projects, focusing on ergonomics, robotics, and AI. His research has led to innovations in workplace safety and automated systems, supported by institutional and collaborative funding. Labs/Teams: The Occupational Safety and Ergonomics Lab and partnerships with South Korean institutions drive cutting-edge studies in automotive safety, robotics, and human factors engineering.

Jordan J. Williamsمشاهده پروفایل

استادیار

• Neural Engineering
• Optogenetics
• Biomedical Engineering
• +۵ مورد دیگر

Jordan J. Williams is an Assistant Professor and Director of the Neural Engineering & Modulation Laboratory (NEMo Lab) at the Joint Department of Biomedical Engineering, affiliated with Marquette University and the Medical College of Wisconsin. He holds MD and PhD degrees from Washington University in St. Louis and completed postdoctoral work at the University of Pittsburgh. Education: Postdoctoral Scholar (2013-2019), Systems Neuroscience Institute, University of Pittsburgh MD (2013), Washington University in St. Louis PhD (2013), Biomedical Engineering, Washington University in St. Louis B.S. (2005), Electrical Engineering and Engineering Physics, South Dakota State University His research focuses on neural engineering, optogenetics, and brain-machine interfaces. Key projects include peripheral optogenetic stimulation for motor recovery post-spinal cord injury, neuroprosthetics, and viral gene therapy applications. Recent publications highlight advancements in spatiotemporal nerve stimulation patterns, non-human primate studies, and neural interface biocompatibility. Dr. Williams teaches courses like Neural Engineering , Biomedical Signal Processing , and Control Systems for Biomedical Engineering . His funded grants include projects on functional motor recovery and improved spinal cord injury rehabilitation through optogenetics. Current research emphasizes the intersection of neuroscience and engineering to address paralysis, with a strong focus on translating preclinical findings into clinical applications. His work has been published in journals such as Journal of Neuroscience Methods , Science Robotics , and Frontiers in Neuroscience .

• Biomedical Signal Processing
• Computational Neuroscience
• Brain-Computer Interfaces (BCI)
• +۷ مورد دیگر

David B. Grayden is a Professor at The University of Melbourne, affiliated with the Melbourne School of Engineering and the Department of Electrical and Electronic Engineering . His work spans Biomedical Signal Processing , Computational Neuroscience , and Brain-Computer Interfaces (BCI) , focusing on applications in Epilepsy Research and Cochlear Implants . Melbourne Neural Engineering Laboratory member Collaborator in multidisciplinary biomedical research Key research interests include: Developing Seizure Prediction Algorithms using long-term EEG/iEEG data Neural mass modeling for Epilepsy and Inhibitory Network Behavior Optimizing Cochlear Implants via computational models Advancing Endovascular BCI Systems and Neural Stimulation Recent publications highlight trends in Machine Learning , Path Signatures , and Multi-Frequency Stimulation for SSVEP-based BCIs . His work integrates Computational Modeling with Biomedical Engineering to address clinical challenges in neuroprosthetics and sensory processing. Grayden leads projects on Neural Network Dynamics , Biomedical Signal Analysis , and Neurostimulation , often collaborating with institutions like Monash University and Royal Melbourne Hospital .

Rasmus Leck Kæselerمشاهده پروفایل

استادیار

• Biomedical Engineering
• Robotics
• Machine Learning
• +۳ مورد دیگر

Rasmus Leck Kæseler is an Assistant Professor in the Department of Health Science and Technology at Aalborg University, affiliated with The Faculty of Medicine. His work focuses on neurorehabilitation robotics, particularly developing assistive technologies for severely disabled individuals through innovative interfaces like tongue-computer systems and brain-computer interfaces. Key projects include the CRERoB initiative (Center for Rehabilitation Robotics - phase II) and the MultiRob project, which explore multimodal control systems for robotic arms. He collaborates extensively on interdisciplinary research involving mechanical engineering, electrical engineering, and clinical applications. Research interests span neural signal processing (e.g., SSVEP classification), adaptive exoskeleton design, and user-centered interface development for individuals with spinal cord injuries or ALS. Recent publications emphasize improving assistive robotic systems through semi-automation and studying long-term user adaptation patterns. Rasmus participates in academic activities such as the 'Forskningens Døgn' public engagement event and workshops on generative AI in education. He holds positions in the Center for Rehabilitation Robotics and contributes to conferences like the IEEE Engineering in Medicine and Biology Society.

William Heathمشاهده پروفایل

استاد

• Feedback Control Theory
• Nonlinear Control Systems
• Actuator Nonlinearities
• +۴ مورد دیگر

William Heath is a Professor and Head of the School of Computer Science and Engineering at Bangor University. He holds the position of Chair of the UKACC from 2024 to 2027. His research focuses on feedback control theory, particularly addressing actuator nonlinearities such as saturation, rate constraints, backlash, and hysteresis. He employs multiplier theory within absolute stability frameworks to analyze model predictive control and antiwindup strategies. His research interests include nonlinear control systems design, stability criteria for Lur’e systems, and discrete-time extensions of classical control methodologies. He has contributed to foundational work on O’Shea-Zames-Falb multipliers and their applications in robust control. Key collaborations involve international researchers in control systems and applications, though specific partnerships are not detailed. His work bridges theoretical advancements with practical implementations, such as in biomedical BCIs and industrial systems like wind turbines and diesel engines. No awards or grants are explicitly listed, but his extensive publication record (105+ outputs) reflects sustained academic engagement. As Head of School, he leads a team advancing interdisciplinary research in computer science and engineering.

Adriane B. Randolphمشاهده پروفایل

استاد

• Brain-Computer Interfaces
• Neuromarketing
• Neural Processing
• +۹ مورد دیگر

Dr. Adriane B. Randolph is a Professor and Executive Director of the BrainLab at Kennesaw State University’s Coles College of Business. Her work bridges neuroscience and information systems, focusing on brain-computer interfaces (BCIs) and their applications in assistive technologies, consumer behavior, and educational tools. Primary Affiliation: Kennesaw State University School: Coles College of Business Department: Information Systems Research interests include: Developing BCIs to assist individuals with locked-in syndrome (e.g., cerebral palsy, ALS) Neuromarketing studies on brand placement and consumer decision-making Exploring neural responses to workplace productivity and video games Designing systems to enhance cognitive engagement in educational settings Recent publications highlight interdisciplinary applications of BCIs in healthcare, education, and cybersecurity. Notably, her 2022 work in the Journal of Information Systems Education outlines a neuro-IS course, while 2020’s SAIS conference paper details IoT integration in BCI systems for locked-in patients. Scientific contributions include: 2020: Best Paper in Track, Southern Association for Information Systems (SAIS) Annual Conference Dr. Randolph mentors students in the BrainLab, fostering collaboration between undergraduate and graduate researchers. Her lab partners with institutions like Georgia Tech and the National ALS Association to advance BCI applications, with a mission to improve quality of life through non-invasive technologies.

Timothy Marlerمشاهده پروفایل

استاد

• Science, Technology, and Innovation Policy
• Emerging Technologies
• Military Technology
• +۵ مورد دیگر

Timothy Marler is a Senior Engineer and Professor of Policy Analysis at the RAND School of Public Policy, part of the RAND Corporation. His expertise spans Science, Technology, and Innovation Policy, Emerging Technologies, Military Technology, Biotechnology, Artificial Intelligence, and Optimization Modeling. He focuses on the intersection of technological advancements with global implications, emphasizing balanced policy approaches to mitigate risks while leveraging opportunities. Marler holds a Ph.D. in Mechanical Engineering from the University of Iowa, where he previously served as Assistant Director of the Virtual Soldier Research Lab, Co-Director of the Advanced Manufacturing Technology Lab, and Adjunct Professor in Biomedical, Mechanical, and Electrical Engineering. His career includes roles at Ford Motor Company, Amana, Pacific Northwest National Lab, and Hon, reflecting diverse industry experience. His research explores military training technologies, virtual reality/augmented reality, machine learning, and biotechnology. Notable projects include analyzing the U.S. Space Force's operational test infrastructure and advocating for global collaboration to address risks and opportunities from converging AI and gene-editing technologies. He currently serves on the Department of Commerce’s Materials and Equipment Technical Advisory Committee. Marler emphasizes the need for proactive policy frameworks to manage technologies like brain-computer interfaces and the metaverse, ensuring their safe and beneficial integration into society. His work bridges technical innovation with strategic policy analysis to address complex challenges in defense, public health, and global competition.

Avinash Singhمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Cognitive Neuroscience
• Brain-Computer Interfaces
• +۶ مورد دیگر

Dr. Avinash Singh is a Senior Lecturer at the School of Computer Science at the University of Technology Sydney (UTS), Australia. He serves as co-chair of the IEEE Neuroethics Framework for the Workplace, sponsored by IEEE Brain, and is a member of the IEEE Standards Committee on Unifying Brain-Computer Interfaces (BCI). He also serves as an expert advisor for UNICEF and The Centre of Neurotechnology and Law, UK. Dr. Singh completed his PhD in Computer Science in 2019 at UTS, collaborating with the Technical University of Berlin, Germany, the University of California San Diego, USA, and the US Army Research Lab. Prior to his doctorate, he earned a Master's in Software Systems from Birla Institute of Technology and Science Pilani, India, and earlier degrees in Computer Science and Mathematics from Indian institutions. Working at the intersection of machine learning, cognitive neuroscience, and mixed-reality, Dr. Singh focuses on designing and developing real-world neuroadaptive BCI systems. His research integrates AI technologies with cognitive neuroscience to explore cognitive functions, discover relationships between brain dynamics, evaluate everyday interactions, and develop robust next-generation neuroadaptive BCIs. His work spans areas including neuroadaptive BCI applications for improving interpersonal communication, sensory augmentation for blind individuals, and dream reconstruction from brain signals. Analysis of Dr. Singh's recent publications reveals a consistent focus on developing novel EEG signal processing techniques, creating neuroadaptive interfaces, and applying BCI technology to real-world problems. His work shows increasing integration of deep learning with neuroscience, particularly in the context of cognitive conflict detection, spatial navigation, and assistive technologies for the visually impaired. The research demonstrates strong interdisciplinary connections across computer science, neuroscience, and human-computer interaction. Google TensorFlow Faculty Award (2021) Dr. Singh actively supervises PhD students and has received multiple research grants, including ARC Linkage Projects and NHMRC Ideas Grants. His funded research spans neuro-AI for personalized image generation, sensory augmentation for blind individuals, and ethical frameworks for BCI technology. He leads the UTSxDream Recording project (formerly DreamMachine) and collaborates with international institutions on BCI standardization efforts. Dr. Singh founded the India Future Society, a think tank focused on transhumanism, and actively advocates for the ethical development of neurotechnology. His work bridges academic research with practical applications in assistive technology, human-robot collaboration, and spatial navigation systems.

• Brain-Computer Interfaces
• Virtual Reality
• Neurorehabilitation
• +۵ مورد دیگر

Athanasios Vourvopoulos is an Assistant Professor at the Department of Bioengineering, Instituto Superior Técnico (University of Lisbon). He leads research in Brain-Computer Interfaces (BCI), Virtual Reality (VR), and neurorehabilitation, focusing on applications for stroke recovery and neurological disorders. His work integrates EEG neurofeedback, neuromodulation, and embodied VR to enhance clinical outcomes. He teaches courses such as Fundamentals of Bioinstrumentation and Introduction to Biomedical Engineering. Research Interests Brain-Computer Interfaces Neurorehabilitation EEG Neurofeedback Neuromodulation techniques Human-Machine Interaction Assistive technologies His research emphasizes translating neurotechnologies into clinical settings, with studies on BCI-VR systems for motor recovery in stroke patients and EEG-based action anticipation in robotics. Recent work includes multimodal neuroimaging (EEG-fMRI) and open-source tools like NeuXus for real-time artifact reduction. Awards Early Career Investigator Award , International Society for Virtual Rehabilitation (ISVR, 2022) Diploma of Excellence in Teaching , Instituto Superior Técnico (IST, 2023) He collaborates with the Institute of Systems and Robotics (ISR-Lisbon) and has published extensively on BCI-VR integration, neuromodulation, and neurorehabilitation outcomes. His labs focus on developing embodied VR systems and BCI-driven therapies for motor impairment recovery.

• Computer Systems
• Cybersecurity
• Systems Security
• +۱۲ مورد دیگر

Jingjie Li is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh, where he conducts interdisciplinary research at the intersection of computer systems, cybersecurity, and human-computer interaction. He is a member of the Institute for Computing Systems Architecture and the School of Informatics Ethics Committee. Ph.D. in Computer Engineering, University of Wisconsin-Madison (2017–2023) B.Eng. (R&D) with First-Class Honours, Australian National University (2015–2017) B.Sc., Beijing Institute of Technology (2013–2015) His research focuses on user-centric security and privacy , measuring human behavior in digital systems , and efficient human-machine interfaces . He investigates risks in emerging technologies such as smart homes, AR/VR, and AI systems, aiming to make them safer and more human-centric. His work combines technical innovation with behavioral insights to design practical privacy controls, measure digital risks, and build efficient computing platforms. The recent publications highlight a strong trend in privacy transparency , AI explainability , smart home and AR/VR security , and hardware-software co-design . His work frequently appears in top-tier venues including IEEE S&P, USENIX Security, ACM CHI, and ISCA, reflecting a consistent focus on both technical depth and human factors. Notable scientific awards include: ACM CHI Best Paper Award (2019) Facebook Trustworthy Products in AR, VR, and Smart Devices Award (2021) CPS Rising Star, NSF (2022) Generative AI Laboratory Seedcorn Award, University of Edinburgh (2024) Qualcomm Innovation Fellowship Finalist (2019, 2021) Jingjie Li actively supervises PhD students including Jiuming Jiang and Karen Jiamin Zheng, and co-supervises Lawrence Piao and Temima Hrle. He has received research support through fellowships such as the UW–Madison Chancellor’s Opportunity Fellowship and has collaborated globally with institutions including Max Planck Institute, Visa Research, and CSIRO. He serves on the program committees of major conferences like ACM CCS, USENIX Security, and ACM CHI. He leads a dynamic research team focused on systems security and human-centered computing, hosting undergraduate researchers and mentoring students through projects in privacy, AI transparency, and hardware security. His lab fosters interdisciplinary collaboration and real-world impact through community engagement, such as the 'Hack Your Age' workshop with intergenerational participants.

Yomna Abdelrahmanمشاهده پروفایل

استاد

• Human-Computer Interaction
• Thermal Imaging
• Usable Security
• +۶ مورد دیگر

Dr. Yomna Abdelrahman is a Professor of Usable Security and Privacy at the Bundeswehr University Munich . Her research focuses on thermal imaging for security and privacy , virtual reality usability, eye tracking , and biometric authentication . She collaborates with researchers like Florian Alt and Albrecht Schmidt on projects exploring how thermal sensing can enhance user identification and privacy awareness . Key Research Areas : Thermal Imaging, Human-Computer Interaction, Virtual Reality, Password Security, Biometric Authentication, Eye Tracking, Privacy Her recent publications address VR emotion detection , password usability , and privacy implications of thermal imaging . She has contributed to conferences like CHI, MUM, and INTERACT, often examining security-privacy trade-offs and non-invasive biometric systems . Notably, her work on thermal attacks reveals vulnerabilities in mobile authentication through thermal residue. She holds a PhD in Computer Science from the University of Stuttgart (2018), where her thesis, "Thermal Imaging for Amplifying Human Perception," laid the foundation for her later work on thermal-based interaction and cognitive load estimation . Her collaborations span diverse domains, from smart home notifications to industrial worker assistance , reflecting her interdisciplinary approach to usable security and interactive systems .

Tim Düwelمشاهده پروفایل

مدرس

• Human-Computer Interaction (HCI)
• Virtual Reality (VR)
• Multi-modal Interaction
• +۶ مورد دیگر

Tim Düwel is a Lecturer at the Ubiquitous Media Technology Lab (UMTL) within Saarland University's Saarland Informatics Campus. He is affiliated with the Cognitive Assistants department at the German Research Center for Artificial Intelligence (DFKI).

Ruba Al Omariمشاهده پروفایل

استادیار

• Cybersecurity
• Machine Learning in Security
• Information Security
• +۴ مورد دیگر

Ruba Al Omari is an Assistant Professor, Teaching Stream in the Department of Electrical Engineering & Computer Science at York University. She holds a PhD in Computer Science from Ontario Tech University, where she earned the Doctoral Excellence Award. Her research focuses on cybersecurity, machine learning applications in security, and the intersection of brain-computer interfaces (BCIs) with password memorability and user behavior analysis. Dr. Al Omari has over 15 years of industry experience in IT roles spanning network management and security. Her teaching portfolio includes graduate and undergraduate courses in cybersecurity, network security, applied cryptography, malware analysis, and machine learning. Notable courses include 'Attack and Defense Special Topics in IT: AI in Cybersecurity' and capstone projects in computer security. Research interests emphasize leveraging EEG signals and neural networks to predict password memorability, studying user behavior in password usage, and exploring BCI applications for facial recognition and image tagging. Her work bridges cognitive science, neuroscience, and computational security systems. Publications consistently address themes of password security, BCI-driven biometric authentication, and cognitive aspects of cybersecurity. Awards include the Doctoral Excellence Award from Ontario Tech University (exact year not specified in text). Previous roles included program coordinator for AI and Cybersecurity programs at Durham College, alongside teaching experience at Ontario Tech University. Industry background includes user support and network management roles, providing practical insights into IT security challenges.

Yaoping Huمشاهده پروفایل

استاد

• Brain-Machine Interfaces
• Multi-sensory User Interaction in XR
• Immersive Analytics
• +۵ مورد دیگر

Yaoping Hu is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, and an Associate Member of the Hotchkiss Brain Institute. He holds a Ph.D. in Robotics and Neuroscience from the University of Western Ontario. His research focuses on Human-Computer Interaction within Virtual Environments, particularly in Brain-Machine Interfaces, multisensory user interaction in XR, and immersive analytics. He teaches courses such as ENSF 619.36 (Brain-Machine Interface Systems), ENSF 519.51 (Brain-Machine Interfaces), ENEL 602 (Virtual Environments), and ENSF 545 (Introduction to VR). Research interests include modeling neural mechanisms for visuomotor processes, cognitive-ergonomic interaction design, and applications in surgical planning, data visualization, and human-machine collaboration. He leads the Visualization and Interaction Laboratory, collaborating with institutions like the neuroArm Project, Fluid Dynamics Group, and international partners in France. Past and current students include Stanley Tarng, Lida Ghaemi Dizaji, and Aida Erfanian. His work spans projects like neuroSim (a surgical simulator) and BioVista (biofilm visualization tools). Collaborations with industry partners such as Nova Chemicals and Calgary Scientific Inc. support applied research in complex data analysis and virtual reality systems.