جست‌وجوی استاد و پژوهشگر

Marc Compereمشاهده پروفایل

دانشیار

• Nonlinear Dynamic Systems
• Controls
• Hardware-in-the-Loop Control
• +۸ مورد دیگر

Dr. Marc Compere is an Associate Professor of Mechanical Engineering at Embry-Riddle Aeronautical University’s College of Engineering in Daytona Beach, Florida. His research focuses on nonlinear dynamic systems and controls, hybrid-electric power systems, and solar-powered water purification. He also explores self-driving vehicles, Advanced Driver Assistance Systems (ADAS), and diesel emissions controls. Dr. Compere teaches courses such as Dynamics, Vehicle Dynamics, and Instrumentation and Data Acquisition. He co-founded a small business to transition laboratory technology to market and advocates for sustainable micro-business creation in developing countries, particularly through projects in Haiti’s Artibonite Valley. His research interests span energy systems, electro-mechanical systems, and acoustics, with a strong emphasis on applying technological solutions to real-world challenges. He has developed the Mobility Virtual Environment (MoVE), an open-source framework for coordinating multi-vehicle systems to collect and visualize atmospheric data. His work also includes environmental monitoring using low-cost sensors on unmanned aerial vehicles and hyper-local weather prediction tools. Dr. Compere’s contributions to education include pioneering hands-on learning modules, such as desktop Rankine cycle systems and bio-diesel plug-in hybrid electric vehicles. He has led projects like Project Haiti, integrating technical solutions with community development to address water scarcity and promote sustainability. His research and teaching reflect a commitment to bridging academic innovation with practical, socially impactful applications.

Michael A. Neesمشاهده پروفایل

استاد

• Human Factors
• Engineering Psychology
• Auditory Perception
• +۳ مورد دیگر

Michael A. Nees is a Professor of Psychology at Lafayette College, specializing in human factors and engineering psychology. He holds a Ph.D. from Georgia Institute of Technology (2009), M.S. (2007), and B.A. from DePauw University (2001). His research focuses on applying psychological principles to improve system design, particularly in auditory perception, human-technology interactions, and safety systems. He teaches courses like Human Factors, Psychology of Humans and Technology, and Capstone: Disabilities and Assistive Technology, emphasizing critical thinking and ethical professional behavior. Research interests include auditory memory, driver monitoring systems, and advanced driver assistance systems (ADAS). He leads the Human Factors, Perception, and Cognition Lab, exploring theoretical and applied aspects of human-technology interactions with an emphasis on auditory perception. Recent work examines lane departure warnings, auditory alerts in interfaces, and driver behavior modeling. Key Awards : Carl Beidleman Research Award (2022), Marquis Teaching Award (2019), and multiple best paper awards at ICAD conferences. Grants & Funding : Not explicitly listed but implied through sustained research output. Labs/Teams : Director of the Human Factors, Perception, and Cognition Lab at Lafayette College. Teaching philosophy emphasizes fostering critical thinking in a misinformation-saturated world, with a focus on ethics and values in professional practice. His capstone course integrates interdisciplinary perspectives on disability and technology justice.

• Machine Learning
• Computer Vision
• Human Activity Recognition
• +۳ مورد دیگر

Fadi Al Machot is an active researcher in artificial intelligence and machine learning, focusing on applications in human activity recognition, emotion detection, and sensor-based systems. His work often explores zero-shot learning, deep learning frameworks, and the integration of symbolic knowledge into neural networks. Collaborations with co-authors such as Kyandoghere Kyamakya highlight interdisciplinary research in complex systems and adaptive technologies. Key research areas include: Human Activity Recognition (HAR), Emotion Recognition, Sensor Networks, Zero-Shot Learning, and Explainable AI. Recent contributions emphasize noise-resilient time series forecasting and transparent AI system development using ontologies and logical reasoning. Publications span prestigious journals like Sensors, IEEE Access, and Symmetry, with notable work in conferences such as WACV, COINS, and AVSS. His research bridges theoretical advancements with practical implementations in healthcare, transportation, and manufacturing domains.

• Transnational Litigation
• Personal Jurisdiction
• Civil Procedure
• +۱۰ مورد دیگر

Cassandra Burke Robertson is the John Deaver Drinko—BakerHostetler Professor of Law and Director of the Center for Professional Ethics at Case Western Reserve University School of Law in Cleveland, Ohio. With an extensive scholarly record spanning over 15 years, she has established herself as a leading expert in transnational litigation, civil procedure, and citizenship law, contributing significantly to legal scholarship through 47 research papers. Professor Robertson's research interests span multiple critical areas of legal scholarship. Her primary focus includes transnational litigation, personal jurisdiction, citizenship law, and due process. She has made significant contributions to understanding the intersection of civil procedure with international law, particularly regarding forum non conveniens and enforcement of foreign judgments. Her more recent work explores the legal implications of emerging technologies, citizenship rights, and public health policy, demonstrating an evolving scholarly trajectory that addresses both foundational legal principles and contemporary societal challenges. Robertson's scholarly output reveals evolving trends across her career. Early work centered on transnational litigation and personal jurisdiction, while more recent publications address citizenship law, public health policy, and the legal implications of autonomous vehicles. Her interdisciplinary approach connects legal doctrine with social science perspectives, examining how cognitive biases and identity theory influence legal decision-making. She frequently collaborates with scholars like Irina D. Manta on citizenship issues and Charles W. (Rocky) Rhodes on jurisdictional matters, producing work that bridges theoretical legal analysis with practical implications for courts and policymakers. Professor Robertson has been actively involved in the legal academic community, contributing to amicus briefs in significant cases like Ford Motor Co. v. Montana Eighth Judicial District Court. Her leadership as Director of the Center for Professional Ethics demonstrates her commitment to ethical practice in the legal profession. Her scholarly impact is evidenced by over 11,000 downloads and consistent citation metrics according to SSRN rankings, reflecting the relevance and influence of her work across multiple legal domains.

• Road Safety
• Human Factors
• Driver Behavior
• +۷ مورد دیگر

Christine Mulvihill is a Research Fellow in the Human Factors Team at the Monash University Accident Research Centre (MUARC), Faculty of Medicine, Nursing and Health Sciences, Monash University. Her work focuses on road safety, particularly driver and motorcycle rider behavior, training program development, and licensing system evaluation. Her research interests span road safety , human factors , driver behavior , motorcycle rider training , and behavioral adaptation to vehicle technologies . She has led and contributed to significant research initiatives in Victoria, Australia, addressing safety for motorcyclists, emergency vehicle operators, and rail level crossing users. The analysis of her recent publications shows a strong trend toward applied research in transportation safety, with emphasis on systems thinking , evidence-based guidelines , and human-machine interaction . Her work integrates behavioral science with engineering solutions to improve real-world safety outcomes. Scientific Contributions: Extensive research output including peer-reviewed articles, technical reports, and commissioned studies. Projects funded by Transport Accident Commission (TAC), Department of Health (Victoria), and Metro Trains Melbourne. Contributions to UN Sustainable Development Goals related to sustainable cities and road safety (SDG 3 and SDG 11). Advising and Grants: While no formal students are listed, Christine has served as a Chief Investigator on 18 research projects, managing grants from public and transport safety agencies. Her leadership in large-scale evaluations demonstrates significant responsibility in research management and implementation. Labs and Teams: She is an integral member of the Human Factors Team at MUARC, a leading research center in accident and injury prevention. The team conducts multidisciplinary research involving psychology, engineering, and public health to develop safer transport systems.

Michel Reniersمشاهده پروفایل

دانشیار

• Model-Based Systems Engineering
• Supervisory Control
• Cyber-Physical Systems
• +۳ مورد دیگر

Michel Reniers is an Associate Professor at the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on model-based engineering of supervisory controllers, synthesis of supervisory controllers for modal logics, cyber-physical systems, and development of modeling languages like CIF. MSc in Computer Science (TU/e, 1994) PhD in Computer Science (TU/e, 1999) His work emphasizes formal methods in supervisory control for high-tech and embedded systems, with applications in manufacturing, automotive systems, waterway locks, tunnel installations, robotics, and autonomous systems. The research aims to ensure safety and performance guarantees for cyber-physical systems through automated synthesis tools. Key publications highlight advancements in controller synthesis for non-deterministic systems, Hennessy-Milner logic, and embeddings between state-based and event-based systems. These contributions bridge concurrency theory and practical supervisory control implementations. Scientific Awards IEEE Senior Member

Jaime Fernandezمشاهده پروفایل

پژوهشگر

• Machine Learning
• Artificial Intelligence
• Image Analysis
• +۳ مورد دیگر

Jaime Fernandez is a Postdoctoral Researcher affiliated with Dublin City University and the Insight Centre for Data Analytics. His work focuses on Machine Learning & Statistics and Media Analytics, particularly in the context of autonomous vehicles and their sensor systems. He specializes in enabling autonomous vehicles to interpret visual data through techniques like image analysis and Artificial Intelligence, extracting semantic information such as pedestrian detection, traffic light recognition, and trajectory prediction of dynamic objects. This research is critical for advancing Autonomous Driver Assist Systems (ADAS) and improving decision-making in complex urban environments. His work addresses challenges in modeling static and dynamic environments, emphasizing vehicle and pedestrian detection as well as future path prediction. These contributions aim to enhance the safety and efficiency of autonomous navigation systems.

• Intelligent Robotics
• Multi-Robot Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Sérgio Paulo Carvalho Monteiro is an Assistant Professor in the Department of Industrial Electronics at the School of Engineering, University of Minho, and a Senior Researcher at Centro Algoritmi. He serves as Director of the Doctorate in Electronics and Computer Engineering since 2021 and previously led the Integrated Masters program (2011-2013), with core expertise in robotics and signal processing education. His academic credentials include a Doctor of Engineering (DEng), Master of Science (MSc), and PhD. Monteiro's research centers on intelligent robotics with dual focus on single-robot autonomy and multi-robot coordination . His work pioneers dynamic neural field approaches for human-vehicle interaction, particularly in learning driver routines through machine learning. Key application domains span industrial logistics , autonomous transportation , and collaborative workstations , emphasizing safety in human-robot shared environments. Analysis of his 42 publications reveals a clear trajectory from foundational formation control (2002-2010) toward contemporary AI-driven solutions for intelligent cockpits (2020-2024), with increasing emphasis on human-centered design and real-world industrial implementation. He has secured funding through major European initiatives including Horizon 2020 (iFACTORY), FP6 (CoopDyn), and national FCT projects, focusing on autonomous logistics and multi-robot collaboration. His academic leadership extends to directing doctoral programs and shaping curriculum for over 500 engineering students. As core member of the Mobile and Anthropomorphic Robotics Lab within Centro Algoritmi's CAR R&D Group, he develops bimanual manipulators (RAMBO) and safety-critical systems for human-robot collaboration, with recent expansion to CCG/ZGDV Institute affiliation (2023).

Iman Soltaniمشاهده پروفایل

استادیار

• Machine Learning
• Robotics
• Automation
• +۵ مورد دیگر

Iman Soltani is an Assistant Professor at the University of California, Davis, jointly appointed in Mechanical and Aerospace Engineering and Electrical and Computer Engineering, and affiliated with the Institute of Transportation Studies. His research integrates machine learning, control systems, and robotics across scales—from nanoscale materials manipulation to autonomous driving and medical device development. He leads the Soltani Lab, focusing on interdisciplinary projects involving computer science, electrical, and mechanical engineering principles. Key research interests include automated systems, anomaly detection, robotic manipulation, and AI-driven navigation. His work bridges theoretical advancements with experimental innovations, such as the Krysalis Hand and Cardreamer platforms. Awards include the MIT Carl G. Sontheimer Award and National Instruments Engineering Impact Award. Recent publications span autonomous infrastructure surveying, bimanual robotic manipulation, and marine navigation systems. Collaborations span academia and industry, including Ford Greenfield Labs. His lab is located in the Mechanical & Aerospace Engineering building at UC Davis.

• Intelligent Transportation Systems
• Automated Driving Systems
• Road Safety
• +۳ مورد دیگر

Professor Sebastien Glaser is a faculty member at Queensland University of Technology (QUT), holding the position of Professor in Intelligent Transportation Systems within the School of Psychology & Counselling under the Faculty of Health. He leads the Centre for Accident Research & Road Safety – Queensland (CARRS-Q), focusing on safe and sustainable deployment of Automated Driving Systems (ADS) interacting with road users. He earned his PhD in Automatic and Control from Université d'Evry Val d'Essonne in 2004 and has held senior research roles, including Deputy Director and Director of LIVIC (IFSTTAR) and Project Leader at VEDECOM. His research bridges academic and industrial sectors, with a focus on connected/autonomous vehicles (CAV), driver-vehicle interaction, and safety evaluation. Research & Projects: Key projects include leading the French ABV project (low-speed CAV development), EU initiatives like AutoMate (driver-automation interaction) and ADAS&Me (advanced driver assistance systems). He contributed to technological roadmaps for autonomous vehicles in France and led collaborations across 8 academic/industry partners. Current research explores human-centric explanations for automated vehicles, multimodal AI for traffic safety, and eco-routing with safety metrics. Publications & Impact: Over 30+ peer-reviewed articles (2023-2025) span AI-driven safety analytics, multimodal learning for combinatorial problems, and human factors in automated systems. His work emphasizes real-world applications of AI in transportation, including risk estimation for connected autonomous vehicles and predicting driver behavior at intersections. Awards & Grants: While no explicit awards are noted, his leadership in high-profile EU and French national projects (ANR, FP7/H2020) underscores his recognition. He has secured grants totaling millions across multiple initiatives. Labs & Teams: CARRS-Q serves as his primary research hub, focusing on accident research and road safety innovation. Collaborations include ESI Group (via CIVITEC) and public-private partnerships like VEDECOM.

Karsten Nebeمشاهده پروفایل

استاد

• Usability Engineering
• Human-Centered Design
• Digital Manufacturing
• +۱۲ مورد دیگر

Karsten Nebe is a Professor of Usability Engineering and Digital Manufacturing at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences in Kamp-Lintfort, Germany. He has held this position since 2011 and also serves as the Program Director of the Master's program in Usability Engineering and Director of FabLab Kamp-Lintfort, one of the world's largest makerspaces. His academic background includes a doctorate in Computer Science with a minor in Psychology, focusing on the integration of software engineering and usability engineering in business processes. His research lies at the intersection of usability engineering, human-centered design, digital manufacturing, artificial intelligence, and innovation management . Key areas include user-centered development of interactive systems, maturity models for UX in enterprises, innovative human-machine interaction concepts, computational fabrication, and AI integration in software development. He also leads research in cross-innovation and sustainable design methodologies. His recent publications reflect a strong trend toward integrating human factors into assistive systems, evaluating ergonomic standards (DIN/ISO), and exploring AI’s role in human-centered development. He actively contributes to international standardization through DIN and ISO, particularly in usability and human-centered design domains. Best Student Paper Award (2023, Proceedings Healthcare and Medical Devices) 2nd Best Paper Award (2021, Fab16 Research Papers Stream) Prof. Nebe regularly supervises bachelor's and master's theses and leads collaborative research and contract innovation projects with industry. He offers consulting and training in human-centered design, design thinking, strategic UX integration, and AI-supported software development. He is deeply involved in practical collaborations, including contract research and innovation projects focused on technical prototyping in mechanics, electronics, and manufacturing. He leads the FabLab Kamp-Lintfort , a central facility supporting students and the community with access to modern fabrication technologies. He also co-founded the Cross Innovation Lab - Lower Rhine , fostering interdisciplinary innovation. The lab supports workshops, open access prototyping, and volunteer engagement in digital fabrication.

Xin Chenمشاهده پروفایل

استادیار مدعو

• Computer Vision
• Machine Learning
• Location-based Services (LBS)
• +۱۱ مورد دیگر

Xin Chen holds the title of Adjunct Assistant Professor at Northwestern University and Adjunct Professor and PhD Advisor at Illinois Institute of Technology. He leads the Central United States team in Amazon’s Machine Learning Solutions Lab and previously served as Director of Engineering at HERE Technologies, pioneering automated map creation using computer vision and machine learning. He earned a Ph.D. in Computer Science and Engineering from the University of Notre Dame in 2006. Research Interests: Xin Chen’s work spans Computer Vision, Machine Learning, and Geospatial Technologies. He focuses on applications such as automated map creation, LIDAR data analysis, biometric systems, and AI-driven solutions for transportation and navigation. His research integrates advanced image processing techniques with real-world challenges like ADAS (Advanced Driver Assistance Systems) and geospatial visualization. Key Achievements: Recipient of the 2010 and 2011 IMPACT Awards at NAVTEQ, multiple HERE Hack Week awards, and the 2015 HERE Berkeley Hackathon top prize. He has served on NSF panels evaluating multi-million-dollar AI projects and holds over 50 U.S. patents in geospatial data analysis and computer vision. Teaching & Advising: Teaches courses like “Geospatial Vision and Visualization” and “Biometrics” at Northwestern and IIT. Advises PhD students, including Xi Zhang at IIT. His academic leadership includes program chair roles at CVPR and ACM SIGSPATIAL conferences. Labs & Collaborations: Collaborates with institutions like Carnegie Mellon, Columbia, and Notre Dame on geospatial and computer vision projects. His work bridges academia and industry, emphasizing practical AI solutions for enterprise clients through Amazon and HERE technologies.

John E. Ballمشاهده پروفایل

استاد

• Advanced Driver Assistance Systems
• Deep Learning
• Sensors and Sensor Processing
• +۲ مورد دیگر

Dr. John E. Ball is Professor and Robert D. Guyton Chair in the Department of Electrical & Computer Engineering at Mississippi State University. His research focuses on advanced driver assistance systems (ADAS), deep learning applications, sensor processing, and digital signal/image processing methodologies. Ball holds a PhD in Electrical Engineering from Mississippi State University and an MS from Georgia Institute of Technology.

R. Bruce Wallaceمشاهده پروفایل

استاد مدعو

• Aging in Place Technology
• Smart Homes
• Sensors and Data Analytics
• +۴ مورد دیگر

R. Bruce Wallace is an Adjunct Professor at Carleton University's Faculty of Engineering and Design and an Adjunct Research Professor affiliated with Bruyère Health Research Institute. He serves as Executive Director of the AGEWELL National Innovation Hub (SAM3), focusing on sensors and analytics for aging in place. His expertise spans signal processing, data analytics, and healthcare technology. Dr. Wallace holds a Ph.D. from Carleton University, an M.Eng. from Carleton, and a B.E.Sc. from the University of Western Ontario, alongside a P.Eng. license and Senior Member status in IEEE. His research focuses on innovative smart home technologies to support aging populations, including sensor-based monitoring systems, cognitive health assessment, and assistive vehicle technologies. Key projects include the SAM3 initiative, which integrates multi-disciplinary teams to develop solutions for independent living. He co-authored the book *Supportive Smart Homes: Their Role in Aging in Place* and holds 24 patents in telecommunications and healthcare systems. Dr. Wallace’s work emphasizes collaboration with industry, clinical partners, and end-users to bridge technology development and real-world applications. His speaking engagements span academic, industry, and public audiences, advocating for age-friendly technology adoption. His research has been published in journals like IEEE Transactions on Instrumentation and Measurement, with a focus on sensor technologies, health monitoring, and driver safety for older adults. Current affiliations include leadership roles at SAM3, Bruyère Research, and Carleton’s ARISE Lab, where he oversees projects such as the SAM3 Smart Apartment and Virage Simulator. His contributions address ethical, legal, and policy challenges in smart home technologies, ensuring user-centered design and accessibility.

José Antonio Lázaroمشاهده پروفایل

دانشیار

• Optical Communications
• 5G/6G Networks
• Telecommunications
• +۵ مورد دیگر

José Antonio Lázaro is an Associate Professor at the Optical Communications Group (GCO) and former Vice Dean of International Relations at the School of Telecommunications Engineering (ETSETB) at the Universitat Politècnica de Catalunya (UPC). He holds a Ph.D. in Physics from the University of Zaragoza (1999) and has extensive experience in research and industry, including roles at ALCATEL-LUCENT and as a Ramón y Cajal Researcher at UPC. His research focuses on optical communications, 5G/6G networks, quantum key distribution, and connected mobility. Education: Ph.D. in Physics (University of Zaragoza, 1999), M.B.A. in Business Administration Roles: Coordinator of Horizon-JU-SNS project (6G-EWOC), leader of multiple EU/Spain projects (e.g., TEYDE, SUNSET) Research Groups: Optical Communications Group (GCO), CCABA Advanced Broadband Communications Centre His work emphasizes AI-enhanced optical-wireless 6G networks, low-latency infrastructure, and mmWave systems. He has authored over 170 peer-reviewed publications and 18 patents. Notable contributions include projects on fiber-optic networks, quantum communication protocols, and MIMO radar systems for ADAS applications. Grants & Projects: Leading Horizon Europe-funded projects (6G-EWOC, ELEGANT) and Spanish initiatives (UNICO 6G). Active in EU programs like ALLIANCE for 5G/6G network solutions. Labs/Teams: Core member of the GCO and CCABA, collaborating with international partners in Nokia, Fujitsu, and EU research networks.