جست‌وجوی استاد و پژوهشگر

• Visual Attention
• Multi-Tasking
• Human Factors
• +۵ مورد دیگر

Troy Visser is a Professor and Head of School at the School of Psychological Science, The University of Western Australia. He holds a PhD from Bond University and leads the Attention and Human Behaviour Laboratory, equipped with advanced tools like vehicle simulators, eye-tracking systems, and neural stimulators. His research bridges basic and applied cognitive science, focusing on attention, multi-tasking, and their applications in fields like aviation, defense, and transportation. Visser's expertise includes multi-tasking, distraction, automation, and human factors. He has secured over AUD 25 million in research funding, including grants from the Australian Research Council and the Defence Science and Technology Group. His teaching roles include coordinating PSYC 2203 (Research Methods and Statistics) and lecturing in cognitive neuroscience and psychology. With 103 publications and 25 h-index, his work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Current projects include submarine command systems and augmented reality for combatants. Supervising 16 students, he emphasizes translating research into practical solutions for real-world challenges.

Georgios Pappasمشاهده پروفایل

استاد

• Number Theory
• Algebraic Geometry
• Representation Theory
• +۷ مورد دیگر

Georgios Pappas is a Professor in the Department of Mathematics at Michigan State University (MSU), located in Wells Hall. He is part of the College of Natural Science. His research spans several areas including number theory, algebraic geometry, representation theory, and arithmetic algebraic geometry. Additionally, his recent work explores gamification in education, environmental sustainability, and autonomous vehicle technology. Research Interests: Pappas' primary focus includes number theory, algebraic geometry, and representation theory, with a concentration on arithmetic algebraic geometry. His foundational work addresses Shimura varieties, Galois module structures, and Riemann-Roch theorems. Recently, he has expanded into interdisciplinary fields such as gamified educational tools, metaverse frameworks for waste management, and ethical implications of automated vehicles. Publications: His notable contributions include foundational research on Shimura varieties and their reductions modulo primes, alongside recent publications on gamified virtual libraries, drone simulators for search-and-rescue, and ethical considerations for autonomous systems. These works highlight his dual expertise in pure mathematics and applied technological innovation. Advising & Grants: No specific grants or advising details are provided in the text. His work appears to be primarily research-driven with a focus on collaborative interdisciplinary projects. Labs & Teams: No affiliated labs or teams are explicitly mentioned, though his publications suggest involvement in cross-disciplinary initiatives at MSU.

Edward Smartمشاهده پروفایل

پژوهشگر ارشد

• Data Analysis
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

Dr Edward Smart is a Principal Research Fellow at the University of Portsmouth, affiliated with the Faculty of Technology and School of Electrical and Mechanical Engineering. He is also part of the Centre of Excellence in Defence, Risk & Resilience, Portsmouth AI and Data Science Centre, and the Centre for Operational Research & Logistics. He holds a PhD from the University of Portsmouth (2011) and an MMath from the University of Reading (2005). Education: PhD in Engineering, University of Portsmouth, 2011 MMath in Mathematics, University of Reading, 2005 Research Interests: Dr Smart focuses on learning algorithms for detecting rare or abnormal events in industrial data, particularly in manufacturing, computing, agri-tech, and transport sectors. His work emphasizes anomaly detection, condition-based monitoring, and predictive maintenance, with applications in maritime, railway, aerospace, and high-performance computing industries. He has secured over £6.8M in grants from Innovate UK, STFC, and DASA, collaborating with institutions like Southampton, Nottingham, UCLAN, and Brunel. Grants & Collaborations: Lead or co-investigator on 20+ grants totaling £6.8M (over £3.4M for Portsmouth) Collaborations with industry partners in maritime, railway, aerospace, and agri-tech sectors Labs & Teams: Active in the Centre for Operational Research & Logistics and the Food Cultures in Transition research cluster. He contributes to researcher development through the Researcher Concordat implementation and previously chaired the Researchers' Network.

• Power System Control
• Smart Grid Technologies
• Mobile Machinery Automation
• +۳ مورد دیگر

Orlando Delgado Fernandez is a doctoral researcher at the Doctoral Programme in Engineering Sciences, Tampere University, Finland, affiliated with the Automation Technology and Mechanical Engineering department. His work focuses on power system control, smart grid technologies, and mobile machinery automation, with expertise in electromechanical oscillations and dynamic mode decomposition. He holds a Master of Science (Technology) and Bachelor of Engineering in Electrical Engineering from the José Antonio Echeverría Technical University of Havana, Cuba, and has 8 years of professional experience in power systems. Education: BEng (2014) and MEng (2019) in Electrical Engineering from CUJAE, Havana Experience: 8 years in power system operation, control, and planning His research involves power system modeling , transient phenomena analysis , and smart grid integration for mobile machinery. Publications highlight hybrid wheel loader optimization and real-time oscillation monitoring using data-driven methods. He contributes to SDG 7 (Affordable Energy) and SDG 13 (Climate Action) through sustainable energy management research.

• Machine Learning
• Artificial Intelligence
• Evolutionary Computation
• +۳ مورد دیگر

Dr. Mosab Bazargani is a Lecturer in Data Science with specialization in Machine Learning and Artificial Intelligence at Bangor University's School of Computer Science and Engineering. His research focuses on developing and optimizing computational algorithms including evolutionary methods, hill climbing techniques, and hyper-heuristics for complex problem-solving. His current projects include: Machine Learning-Driven Discovery of Metal-Organic Adsorbents for Freshwater Cleanup (2025-2026) Electric Vehicle Routing Optimization for Logistics Operations (2024-2026) Research interests span evolutionary computation, multimodal optimization, parameter-free algorithms, and applications in software engineering and computer vision. His publications demonstrate consistent focus on improving optimization techniques through novel algorithmic approaches.

Huapeng Wuمشاهده پروفایل

استاد

• Robotics
• Nuclear Engineering
• Control Systems
• +۳ مورد دیگر

Huapeng Wu is a Professor at the University of Windsor specializing in robotics, nuclear engineering, and control systems. His research focuses on advanced robotics for fusion reactor maintenance, remote handling systems, and intelligent control algorithms. He has secured significant funding, including a $383k grant for cybersecurity in autonomous vehicles (2020). Key projects include development of the CFETR remote handling system, deformation modeling of fusion manipulators, and EEG-based human-machine interfaces. Research interests span parallel mechanisms, cognitive load monitoring, and bionic robotics. Notable contributions include: Design of vacuum vessel assembly robots with anti-vibration features Development of neural network-based fault prediction frameworks Integration of digital twin technology for fusion maintenance systems His work combines mechanical engineering principles with AI-driven solutions for complex industrial challenges. Current efforts emphasize improving safety and precision in nuclear fusion environments through innovative robotic systems and predictive modeling.

Ann Bisantzمشاهده پروفایل

استاد

• Cognitive Engineering
• Human Factors in Healthcare
• Healthcare Systems Design
• +۴ مورد دیگر

Ann Bisantz is the Vice Provost & Dean of Undergraduate Education and a SUNY Distinguished Professor in the Department of Industrial and Systems Engineering at the University at Buffalo. Her research focuses on cognitive engineering, human factors in healthcare, and decision-making systems in complex environments. She leads projects analyzing human-machine interaction, emergency medicine workflows, and the design of health IT systems. Education: PhD in Industrial Engineering Key Affiliations: School of Engineering and Applied Sciences Her research integrates cognitive systems engineering principles to improve healthcare safety, surgical team communication, and emergency department workflows. Notable projects include developing electronic health record displays for clinicians and studying trust in AI-driven medical decision support systems. Recent work emphasizes resilience engineering in healthcare, analyzing how systems can better anticipate and adapt to failures. Her articles explore automated driving safety, robot-assisted surgery communication, and mental health crisis support apps. Awards: SUNY Distinguished Professor designation Grants include funding from NSF, AHRQ, and the Department of Homeland Security. She has supervised numerous UB students in research projects addressing healthcare system challenges. Her work also extends to educational equity, applying systems approaches to support underrepresented minorities in STEM.

• Intelligent Transport Systems (ITS)
• Road Safety
• Human Factors Engineering
• +۴ مورد دیگر

Professor Andry Rakotonirainy is a renowned expert in road safety and Intelligent Transport Systems (ITS) at QUT's Faculty of Health, School of Psychology & Counselling. He holds a PhD in Computer Science from Sorbonne University and INRIA, France. His research focuses on human factors in ITS, leveraging computer science, engineering, and psychology to improve road safety. He leads the ITS human factors program at CARRS-Q and the Centre for Future Mobility, with over $76M in research grants. Key roles include ARC College of Experts membership and EU project advisory roles. Research Interests: Connected and Automated Vehicles (CAVs) Eco-safe driving systems Human-Machine Interaction Driver Behavior Analysis Transportation Policy Projects: EU-funded LEVITATE (€6.4M) studying societal impacts of CAVs Queensland CAVI-iMOVE CRC initiative ARC grants on AI explainability and AV safety Achievements: Over 300 publications, h-index 45, and 14 ARC grants. Established ICCAM with Université Gustave Eiffel. Advising & Grants: Supervised 6 doctoral and 2 master's students. Active in government/industry committees and grant reviews. Labs/Teams: CARRS-Q, Centre for Future Mobility, and ICCAM collaboration.

• Data Analytics
• Spatial Data Analysis
• Geographic Information Systems (GIS)
• +۳ مورد دیگر

Dr. Mario Gellrich is a Lecturer in Management Information Systems and Data Science at the Zurich University of Applied Sciences (ZHAW), specifically within the School of Management and Law's Institute of Management Information Systems. His work since 2019 combines teaching and applied research, focusing on Data Analytics, Machine Learning, GIS, and Python/R-based statistical modeling. He holds a Dr. rer. nat. from the Swiss Federal Research Institute WSL and has extensive industry experience as a Senior Data Scientist and Project Leader across Swisscom, pom+Consulting AG, and Wüest & Partner AG. Education: PhD (2007-2009): Swiss Federal Research Institute WSL & Albert-Ludwigs-University Freiburg MSc (2002-2007): WB-Diplom in Applied Statistics (ETH Zurich) BSc (1995-2001): Dresden University of Technology (Diplom in Forest, Geo & Hydrosciences) His research interests emphasize practical applications of data science methodologies, including spatial-temporal analysis for energy systems, pandemic impact modeling, and sustainable business strategies. He has published in journals like HMD Praxis der Wirtschaftsinformatik and Energy Strategy Reviews, focusing on topics like EV charging networks and SME sustainability during crises. Awards and grants are not explicitly listed in the provided text. His teaching portfolio includes courses like Scientific Programming (BSc), Data Science (MSc), and Data Engineering in professional certifications. He has collaborated on projects ranging from GIS applications in marketing to robotic process automation in finance.

Venkat Alladaمشاهده پروفایل

استاد

• Lean Management Systems
• Product Design and Development
• STEM Education
• +۳ مورد دیگر

Dr. Venkat Allada is a Professor in the Department of Engineering Management and Systems Engineering at Missouri University of Science and Technology (Missouri S&T). He served as Vice Provost for Graduate Studies from 2007 to 2018, leading initiatives to enhance graduate education, increase enrollment, and improve graduate program outcomes. Previously, he was an Assistant Professor (1994–2000) and Associate Professor (2000–2006) at Missouri S&T. He holds a Ph.D. in Industrial Engineering from the University of Cincinnati (1994). His research focuses on lean management systems, product design and development, STEM education, and sustainable design. He has authored over 100 publications and received awards such as the ASEE Dow Outstanding New Faculty Award (1998) and the MIT Lean Aerospace Initiative’s Outstanding Contributions Award (2005). Recent research trends include modular product strategy optimization, space vehicle design inspired by ISS systems, and green technology integration in supply chains. His work emphasizes practical applications of systems thinking and industrial engineering principles in both academic and industrial contexts. Awards: 1998 ASEE Dow Outstanding New Faculty Award 2005 Outstanding Contributions Award (MIT Lean Aerospace Initiative) Multiple Faculty Excellence Awards from Missouri S&T Advising & Grants: Guided numerous graduate students through interdisciplinary projects, with notable contributions to graduate program development at Missouri S&T. Labs/Teams: Investigator at the Intelligent Systems Center, collaborating on projects blending systems engineering and advanced manufacturing.

• Mechanical Engineering
• Unmanned Ground Vehicles (UGV)
• Suspension Systems
• +۵ مورد دیگر

Arkadiusz Rubiec is an Adjunct Professor at the Military University of Technology, specializing in mechanical engineering with a focus on unmanned ground vehicles (UGVs), hydrostatic drivetrains, and robotics. He holds a Doctorate from 2017 and has contributed extensively to research areas including suspension system optimization, energy recovery systems, and terrain mobility solutions for military and rescue applications. His work emphasizes practical engineering challenges such as improving UGV teleoperation efficiency through camera placement studies, analyzing ground pressure effects on demining rollers, and enhancing hydraulic systems' energy efficiency. Rubiec has published 54 papers, secured 2 patents, and led 5 research projects. His research often intersects with real-world applications like disaster response robotics, IED detection systems, and GNSS positioning enhancements. Education: Ph.D. in Mechanical Engineering (2017) Affiliations: Military University of Technology (current) Rubiec’s contributions span experimental and simulation-based studies, including investigations into kinematic discrepancies in multi-axle vehicles and the efficacy of hydrostatic drives. His lab focuses on developing high-mobility platforms for rescue operations and military use, with a particular interest in additive manufacturing for field repairs and lightweight suspension systems. Key achievements include a 2021 study on modern mine scattering systems and breakthroughs in UGV suspension design. His work is cited across Scopus and Web of Science with a WoS h-index of 7, reflecting significant academic impact.

Khalegh Baratiمشاهده پروفایل

مدرس

• Automation in Construction
• Data Sensing and Monitoring of Field Operations
• Modularisation and Prefabrication
• +۴ مورد دیگر

Dr. Khalegh Barati is a Lecturer at the School of Civil and Environmental Engineering , University of New South Wales, specializing in construction automation, sustainability, and optimization. His research spans technologies like IoT, BIM, and machine learning to enhance construction efficiency and safety. Ph.D. in Construction Engineering and Management (UNSW, 2018) M.Sc. in Construction Engineering and Management (Sharif University, 2013) B.Sc. in Civil Engineering (University of Isfahan, 2010) His research interests focus on Automation in Construction , Data Sensing and Monitoring , Modularisation and Prefabrication , and Sustainability Issues . Recent work includes thermal load optimization in residential buildings, real-time safety monitoring in mining, and AI-driven progress tracking via BIM and laser scanning. His publications emphasize emissions modeling , energy efficiency , and construction productivity , with a notable Top 10 Best Conference Paper Award (ISARC2015) . He supervises over 10 students in the AICON Laboratory and teaches CVEN4050 Thesis A and CVEN4051 Thesis B .

Hans Hanssonمشاهده پروفایل

استاد

• Real-Time Systems
• Cybersecurity
• Industrial Control Systems
• +۶ مورد دیگر

Hans Hansson is a Professor at Mälardalen University since 1997, leading the Mälardalen Real-Time Research Centre (MRTC) and the strategic profile area Trusted Smart Systems (TSS). He holds multiple degrees from Uppsala University, including an MSc in Engineering Physics and a Doctor of Technology in Computer Systems. His research focuses on real-time systems, cybersecurity, industrial control systems, and safety-critical systems. He has advised over 20 PhD students, five of whom became university professors. Hans has secured over 500 MSEK in external funding from national and European grants. His work spans fault-tolerant systems, embedded software verification, and compositional safety analysis in complex systems. Key projects include the development of the Pkl language for operational design domains, security frameworks for industrial IoT systems (e.g., ICSSIM testbeds), and real-time storage solutions for fog computing. He also chairs the PROGRESS Centre for Predictable Embedded Software Systems. Publications emphasize cybersecurity in industrial systems, safety-critical software design, and real-time scheduling in time-triggered networks. His research bridges theory and practice, addressing challenges in autonomous systems, mining automation, and Industry 4.0.

Adam Abdinمشاهده پروفایل

پژوهشگر

• Urban Mobility
• Critical Infrastructure Resilience
• Energy Systems Optimization
• +۳ مورد دیگر

Adam Abdin is a researcher specializing in interdisciplinary systems optimization, with a focus on urban mobility, critical infrastructure resilience, and space engineering. His work bridges operations research, AI applications, and climate adaptation strategies. He collaborates extensively with institutions on projects involving pandemic response, energy systems, and autonomous technologies. Key research areas include predictive maintenance frameworks, climate change exposure modeling, and on-orbit servicing mission optimization. Developed methodologies for coordinating traffic-power systems and enhancing AI-driven risk management in space missions. Recent research emphasizes strategic planning for pandemic control and optimizing testing strategies, as well as designing resilient energy systems against extreme weather events. His publications highlight contributions to electric vehicle rate design, cyber-risk mitigation in space AI, and comprehensive frameworks for critical infrastructure interdependency.

Anouar Belahcenمشاهده پروفایل

استاد

• Magnetic Materials Modeling
• Energy Conversion Devices
• Electromagnetic Field Computation
• +۶ مورد دیگر

Anouar Belahcen is a Full Professor in the Department of Electrical Engineering and Automation at Aalto University. His research focuses on magnetic materials modeling, numerical analysis of energy conversion devices, and electromechanical systems. Key interests include iron loss characterization in electrical machines, magnetomechanical coupling phenomena, and vibration/noise analysis. Belahcen leads the Computational Electromechanics research group and has pioneered advancements in anisotropic hysteresis modeling, multi-scale material characterization, and fault diagnostic methodologies using machine learning. His work bridges computational electromagnetics with practical applications in electric traction systems and renewable energy infrastructure. Expertise: Magnetic Materials, Finite Element Analysis, Energy Conversion, Condition Monitoring Key Projects: Development of thermodynamically consistent hysteresis models Optimization of high-specific-power electric machines for aerospace/automotive use Machine learning-based fault detection systems Publications emphasize cutting-edge topics like vector hysteresis modeling under multiaxial stress, bearing fault diagnostics via multi-rate vibration analysis, and novel transformerless PV-inverter designs. His research consistently addresses both fundamental theory and industrial-scale implementation challenges.