جستجوی استاد راهنمای دانشگاهی

Ioannis Vlahavasمشاهده پروفایل

استاد

• Logic Programming
• Knowledge representation and Reasoning
• Automated Planning
• +۳ مورد دیگر

Ioannis Vlahavas is a Professor in the School of Informatics at Aristotle University of Thessaloniki since 2003, where he directs the Intelligent Systems Lab. He has held significant leadership roles including Chair of the School of Informatics (2003-2005, 2013-2017) and Dean of the School of Science and Technology at the International Hellenic University (2007-2016). His career spans over three decades with continuous contributions to artificial intelligence research and education. Education: Ph.D. in Computer Science, Aristotle University of Thessaloniki (1988) B.Sc. in Physics, Aristotle University of Thessaloniki (1982) Professor Vlahavas's research focuses on foundational AI areas including Logic Programming, Knowledge Representation and Reasoning, Automated Planning, and Machine Learning. His work bridges theoretical frameworks with practical applications in autonomous systems, healthcare diagnostics, and financial modeling. He has pioneered methodologies in reinforcement learning and multi-agent systems, with particular emphasis on personality emulation in gamified environments and transformer-based architectures for complex real-world problems. His recent publications reveal a strong trajectory toward deep reinforcement learning, transformer optimization, and low-resource language processing. Key application domains include autonomous driving (5 of 15 recent papers), biomedical text mining (particularly drug-drug interaction extraction), and personality modeling in gaming environments. There is notable cross-pollination between finance (portfolio theory applications, cryptocurrency trading) and AI methodology development. Scientific Awards: EurAI Fellow (2017) Professor Vlahavas has mentored numerous graduate students through PhD candidate programs and research projects. His leadership extends to organizing major international conferences including the 24th IEEE International Conference on Tools with AI (2012) and the 9th Hellenic Conference on Artificial Intelligence (2016). He serves on editorial boards and has guest-edited special journal issues on AI applications. He directs the Intelligent Systems Lab at Aristotle University, which operates as a multidisciplinary research hub focusing on machine learning, natural language processing, and intelligent system applications across healthcare, transportation, and finance sectors. The lab maintains strong industry connections including RealMINT, the university spin-off where he serves as CEO.

Jonathan M. Aitkenمشاهده پروفایل

مدرس ارشد

• Autonomous robotics
• Computer vision
• Spatial awareness in robotic systems
• +۴ مورد دیگر

Dr. Jonathan M. Aitken is a Senior Lecturer in Robotics at the University of Sheffield's School of Electrical and Electronic Engineering. Previously a Research Fellow at the Autonomous Control Laboratory (ACSE), his work focuses on autonomous robotic systems with emphasis on quadcopters, computer vision, spatial awareness, and multi-robot collaboration. Expert in safe autonomous drone deployment Specializes in collaborative robotics (cobots) Qualified UK commercial drone pilot Research spans: Autonomous reconfiguration of robotic systems Dynamic risk assessment for systems-of-systems Visual SLAM for feature-sparse environments Formal verification of UAS systems Human-robot co-working interfaces Recent publications examine: Robust localization in sewer pipes Visual saliency algorithms for mobile robots Cobotic safety controller synthesis Modular digital twinning frameworks Spatial awareness for multi-robot teams Major grants include EPSRC Programme Grants for buried pipe sensing and Lloyds Registry Foundation funding for cobot safety integration.

Robert C. Hampshireمشاهده پروفایل

دانشیار

• Operations Research
• Data Science
• Public Policy
• +۵ مورد دیگر

Robert C. Hampshire is an associate professor of public policy at the University of Michigan's Gerald R. Ford School of Public Policy, with dual research associate professor appointments at the University of Michigan Transportation Research Institute (UMTRI) and Michigan Institute for Data Science (MIDAS). He also maintains affiliated faculty status in the Department of Industrial and Operations Engineering, focusing on interdisciplinary applications of quantitative methods to transportation and mobility systems. His educational background includes a PhD in operations research and financial engineering from Princeton University, forming the foundation for his methodological expertise in stochastic systems analysis. Hampshire specializes in queueing theory, stochastic modeling, and dynamic optimization applied to innovative mobility services including autonomous vehicles, ride-hailing, bike sharing, and smart parking systems. His research bridges operations research, data science, and public policy to analyze emerging networked industries, with extensive global collaborations between public agencies and private sector partners. Current work emphasizes policy implications of connected vehicle technologies and transportation network management. Dr. Hampshire is presently on leave from the University of Michigan, serving as chief science officer and principal deputy assistant secretary for research and technology at the U.S. Department of Transportation, where he applies his academic expertise to national transportation policy. His research activities are embedded within UMTRI's Human Factors group and MIDAS, contributing to interdisciplinary teams addressing transportation data challenges through the Science, Technology, and Public Policy program's framework for analyzing intersections of technology, society, and governance.

• Electric Vehicles
• Vehicle-to-Grid (V2G)
• Autonomous Vehicles
• +۵ مورد دیگر

Cedric De Cauwer is a postdoctoral researcher at the Electromobility Research Centre (MOBI) of the Free University of Brussels, specializing in electric and hybrid vehicle technology since 2011. He earned his Master's (2011) and PhD (2017) in Engineering from the same university, with his doctoral work focusing on energy consumption prediction and energy-efficient routing. Education : Master's in Engineering (2011), Free University of Brussels PhD in Engineering (2017), Free University of Brussels His research spans electric vehicles , autonomous mobility , and vehicle-to-grid (V2G) integration , emphasizing smart charging infrastructure and grid compatibility. Recent work explores reinforcement learning for energy management and forecasting EV charging flexibility. Scientific Awards : Editor's Choice (2023) WEVJ BEST PAPER AWARD (2021) As a supervisor for Andrei Goncearuc 's PhD (2024) and contributor to 6 Master's theses, he mentors students in electrification feasibility and energy flow analysis. He collaborates on projects like VersnellingsMOBI (2025-2029) and DESTINY (2024-2029), integrating EVs into carbon-neutral energy networks.

Rafet Kurtمشاهده پروفایل

مدرس ارشد

• Human Factors in Maritime
• Ship Recycling
• Maritime Safety and Risk
• +۳ مورد دیگر

Rafet Kurt is a Senior Lecturer at the School of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde. His work focuses on human factors in maritime domains, ship recycling, and circular economy applications. He contributes to UN Sustainable Development Goals (SDGs) including Responsible Consumption and Production (SDG 12) and Sustainable Cities and Communities (SDG 11). Principal Investigator for UK-funded maritime decarbonization projects in Indonesia Co-investigator in EU-funded ship recycling initiatives (FP7 DIVEST, LLP Ship DIGEST) His expertise includes developing noise/vibration response models, safety protocols for autonomous ships, and risk assessment frameworks for LNG bunkering. He has authored 121 research outputs and supervised 15 PhD projects. Fellow of the Higher Education Academy (2018) Finalist for VR Awards (2021) As an active organizer of international conferences (e.g., International Conference on Transportation Information and Safety), he promotes cross-domain collaboration and maritime safety innovation.

Gang Taoمشاهده پروفایل

استاد

• Control Systems
• Adaptive Control
• Fault-Tolerant Control
• +۵ مورد دیگر

Gang Tao is a Professor in the Department of Electrical and Computer Engineering at the University of Virginia, where he has worked for over 30 years in adaptive control theory and applications. He holds a Ph.D. in Electrical Engineering from the University of Southern California and serves as an IEEE Fellow. His research focuses on adaptive control of complex systems with actuator/sensor nonlinearities, stability analysis, and control of systems with uncertain faults. Education : B.S. (1982) University of Science and Technology of China; M.S. degrees (1984-1989) and Ph.D. (1989) from University of Southern California. Research Interests : His work spans adaptive control , fault-tolerant systems , robotics , and intelligent learning , addressing challenges in multivariable systems, structural damage compensation, and resilient control for high-speed trains, aircraft, and renewable energy systems. Publication Trends : Recent articles emphasize Koopman operator-based optimal control for multi-robot systems, adaptive backstepping techniques, and fault accommodation in aerospace and transportation applications. His work integrates machine learning with classical control theory for dynamic mutation handling. Scientific Recognition : IEEE Fellow Extensive editorial roles in leading journals Conference organization and plenary speaking Teaching Contributions : He has taught foundational courses including Adaptive Control, Linear Control Systems, and advanced topics in robotics and optimal control. His educational materials reflect deep technical expertise and pedagogical innovation.

Kamal Hossainمشاهده پروفایل

دانشیار

• Pavement Performance and Sustainability
• Recycled and Alternative Highway Materials
• Climate Change Impact Assessment and Adaptation for Highway Pavements
• +۱۹ مورد دیگر

Dr. Kamal Hossain is an Associate Professor in the Department of Civil and Environmental Engineering at Carleton University's Faculty of Engineering and Design. He leads the Advanced Road & Transportation Engineering Lab (ARTEL), focusing on sustainable and resilient transportation infrastructure. His work addresses critical challenges in pavement engineering, particularly in the context of climate change and emerging vehicle technologies. Dr. Hossain's extensive research portfolio spans pavement performance, sustainable materials, climate adaptation strategies, and winter maintenance technologies. His work integrates civil engineering principles with environmental sustainability to develop innovative solutions for Canada's extensive road network. He has published numerous high-impact papers in top transportation journals and secured significant research funding from organizations like NSERC and Transport Canada. His recent publications demonstrate a strong focus on climate change adaptation for asphalt pavements, autonomous vehicle impacts on infrastructure, and sustainable materials. The research spans theoretical modeling, field testing, and practical implementation strategies, with particular emphasis on Canadian climatic conditions and infrastructure needs. Scientific Awards: Editor's Choice Paper, ASCE Journal of Cold Regions Engineering (2022) Editor's Choice Paper, Canadian Journal of Civil Engineering (2022) Research Excellence Award to PhD Student, Memorial University Graduate Student Union (2020) Best Paper of Pavements Award, ASCE T&DI Pavement Conference, Chicago (2019) NSERC Postdoctoral Fellowship (2016) Dr. Hossain has supervised numerous graduate students working on cutting-edge pavement research, with several receiving prestigious awards including the CTAA Graduate Scholarship. His research has been supported by major funding agencies including NSERC, MTO, NRC-CNRC, and industry partners. The Advanced Road & Transportation Engineering Lab (ARTEL) serves as a hub for innovative transportation research, collaborating with government agencies and industry partners to address real-world infrastructure challenges. ARTEL actively engages with the broader community through media appearances, conference presentations, and industry partnerships. The lab's work has been featured in major media outlets including CBC, Vancouver Sun, and The Telegram, highlighting the societal relevance of Dr. Hossain's research on road infrastructure challenges.

Laura Freemanمشاهده پروفایل

استاد پژوهش

• Experimental Design
• Machine Learning
• Cybersecurity Analytics
• +۴ مورد دیگر

Laura Freeman is a Research Professor in the Department of Statistics at Virginia Polytechnic Institute & State University and Director of the Intelligent Systems Division within the National Security Institute. Her research focuses on Experimental Design for Machine Learning, Cybersecurity Analytics, and Reliability Analysis. She holds a Ph.D. in Statistics (2010) from Virginia Tech, alongside an M.S. in Statistics (2006) and a B.S. in Aerospace Engineering (2005). Her work emphasizes statistical engineering and AI assurance, particularly in defense systems and cybersecurity. Notable contributions include frameworks for testing AI-enabled systems, combinatorial coverage metrics for ML robustness, and methodologies for reliability analysis in defense testing. She has led over $30M in grants, including projects on AI model certification, cybersecurity resilience, and multi-domain battlespace analysis. Freeman has received awards such as the International Test and Evaluation Association Cross Award (2019) and the NASA Engineering and Safety Center Group Achievement Award (2011). She serves as Editor-In-Chief of the ITEA Journal of Test and Evaluation and holds leadership roles in professional organizations like the American Statistical Association.

Sonja Schadeمشاهده پروفایل

استاد

• Logistics 4.0
• Sustainable Logistics
• Supply Chain Management
• +۳ مورد دیگر

Prof. Dr. Sonja Schade is a Professor of Business Administration and Logistics at Ruhr West University of Applied Sciences, serving as Dean and Vice Dean of Department 2 since her appointment on September 1, 2020. She has taught and researched digitalized logistics, supply chain management, and Logistics 4.0 at the university since March 2018, bridging academic theory with industry applications in sustainable logistics and production management. Her research centers on Logistics 4.0 implementation, sustainable supply chains, and digital transformation in industrial contexts. She investigates additive manufacturing's potential in the Ruhr region while maintaining expertise in traditional supply chain management. Her work emphasizes practical applications of Industry 4.0 technologies like IoT and AI in logistics operations, with a focus on medium-sized enterprises and internationalization challenges. Recent publications reveal a strong trajectory toward digital logistics innovation, analyzing business models for Logistics 4.0, digitalization techniques in supply chains, and controlling frameworks for SME collaborations. Her scholarly output spans from foundational work on cooperative manufacturing control (2004-2007) to cutting-edge Industry 4.0 applications (2020-2024), demonstrating evolving expertise in digital transformation. Prof. Schade actively contributes to professional communities as a member of Bundesvereinigung Logistik (BVL) and Bundesverband Materialwirtschaft und Einkauf (BME). She serves as the department's equal opportunities representative but no information is available regarding student advisement or research grants.

Dena Bazazianمشاهده پروفایل

مدرس

• Robotics
• Machine Vision
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Dena Bazazian is a Lecturer in Robotics and Machine Vision at the University of Plymouth's School of Engineering, Computing and Mathematics. Previously, she held positions as a Senior Research Associate at the University of Bristol's Visual Information Laboratory, Research Scientist at CTTC (Barcelona), and postdoctoral researcher at Universitat Autònoma de Barcelona, where she earned her PhD in 2018. Her international research includes visiting positions at Barcelona Supercomputing Center (2024), NAVER LABS Europe (2019), and University of Florence (2017). Her research focuses on robotic vision, underwater technologies, and AI-driven applications. Key interests include: 3D reconstruction and neural rendering techniques Anomaly detection using graph neural networks Underwater perception systems for marine environments Intergenerational co-design of immersive technologies Point cloud processing and geometric deep learning Publication analysis reveals strong emphasis on computer vision applications across robotics, industrial inspection, heritage preservation, and marine technology. Recent works increasingly integrate human-centered approaches with XR technologies and underwater systems. She currently supervises 8 PhD students across robotics, healthcare, and environmental monitoring domains: Offshore wind turbine maintenance drones (EPSRC-UDLA funded) Autonomous sea vessel swarms for climate forecasting (ARIA funded) AI for marine biodiversity monitoring (Cefas funded) Elderly fall detection systems (URS General funded) Healthcare anxiety detection through visual analysis (EPSRC DTP HMT funded) Dr. Bazazian leads modules including Artificial Vision and Deep Learning and Computer Vision . She co-organizes workshops including the Deep Learning for Geometric Computing series (CVPR/ICCV) and Women in Computer Vision workshops (CVPR/ECCV).

Salim Ahmedمشاهده پروفایل

استادیار

• Safety and Risk Engineering
• Process Systems
• Process Control
• +۳ مورد دیگر

Salim Ahmed is an Assistant Professor in the Department of Chemical Engineering at Memorial University of Newfoundland's Faculty of Engineering and Applied Science since February 2012. He holds a B.Sc. and M.Sc. in Chemical Engineering from Bangladesh University of Engineering and Technology (BUET) and a Ph.D. in Process Control from the University of Alberta. Prior roles include a postdoctoral fellowship at the University of Alberta (2006-2008), an Assistant Professorship at Qatar University (2008-2012), and a Lecturer position at BUET (1997-2000). His research focuses on safety and risk engineering, process systems, and model-based process control. Notable projects include an IgniteR&D grant-funded risk-based alarm system for process industries and early warning systems design. His expertise spans system identification, continuous-time models, model validation, and valve stiction analysis. Teaching responsibilities include undergraduate and graduate courses in Process Engineering and Oil and Gas Engineering. Awards include the 2010 Best Student Research Award (Energy and Environment category) at the Qatar Foundation Annual Research Forum. Research outputs include over 30 peer-reviewed articles, conference papers, and book chapters, emphasizing fault detection, data-driven modeling, and risk assessment in process systems. He has developed tools like StepID for step-response identification and AlarmSoft for alarm management.

Imon Chakrabortyمشاهده پروفایل

دانشیار

• Urban Air Mobility
• Flight Dynamics
• Aircraft Design
• +۲ مورد دیگر

Dr. Imon Chakraborty is an Associate Professor in the Department of Aerospace Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on integrated vehicle sizing, flight dynamics, and urban air mobility systems. He leads the Vehicle Systems, Dynamics, and Design Laboratory where his team has won international competitions including the Vertical Flight Society award. Research Interests: Urban Air Mobility, Flight Dynamics and Control, Electric VTOL Aircraft Design, Aircraft Sizing and Optimization, Pilot-Vehicle Interface Design, Simulation-Based Design Methodologies. Awards and Honors: AIAA Associate Fellow (2023) Best Paper Award for Urban Air Mobility Research (2023) Vertical Flight Society International Competition Winner (2023) FAA Research Grant Recipient (2023) NASA Transformational Tools and Technologies Grant (2023) Dr. Chakraborty advises multiple graduate students and leads projects funded by NASA, FAA, and U.S. Air Force Agility Prime program. His laboratory develops prototype aircraft including subscale VTOL models and airship propulsion systems.

Saber Jafarpourمشاهده پروفایل

دانشگاهی

• Autonomous Systems
• Control Theory
• Robotics
• +۵ مورد دیگر

Saber Jafarpour is a Research Assistant Professor in the Department of Electrical and Computer Engineering at the University of Colorado Boulder. His research focuses on the safety, learning, and control of autonomous systems, with applications to robotics and multi-agent cyber-physical networks. He holds a Ph.D. in Mathematics and Statistics from Queen’s University, Canada (2016), followed by postdoctoral positions at the University of California Santa Barbara (2016–2021) and the Georgia Institute of Technology (2021–2023). His work emphasizes safety verification of nonlinear and stochastic systems, leveraging tools from control theory, contraction analysis, and neural networks. Key contributions include neural barrier certificates, interval reachability methods, and probabilistic safety frameworks for autonomous systems. His research also spans topics like monotone systems, non-Euclidean operator theory, and resilience in power grids. Dr. Jafarpour’s articles highlight advancements in formal verification of neural networks, robust control of cyber-physical systems, and geometric methods for attitude control. His toolbox developments, such as immrax , demonstrate practical applications of interval analysis and computational tools for safety-critical systems. While no awards are explicitly listed, his prolific publication record and academic trajectory reflect sustained excellence in systems and controls research. His advising and grants are not detailed in the provided text, but his postdoctoral roles suggest involvement in collaborative research projects.

Fritz Allhoffمشاهده پروفایل

استاد

• Applied Ethics
• Ethical Theory
• Philosophy of Law
• +۴ مورد دیگر

Fritz Allhoff is a Professor in the Department of Philosophy at Western Michigan University, concurrently serving as a Community Professor in the Homer Stryker M.D. School of Medicine’s Medical Ethics, Humanities, and Law program. He holds a J.D. (magna cum laude) from the University of Michigan Law School, a Ph.D. in Philosophy from the University of California, Santa Barbara, and a B.S. from the College of William & Mary. His research focuses on applied ethics, ethical theory, and philosophy of law, with notable work on cyber warfare ethics, medical error accountability, and just war theory. Education: J.D., University of Michigan Law School, magna cum laude Ph.D., Philosophy, University of California, Santa Barbara B.S., College of William & Mary Research Interests: Applied ethics (including biomedical ethics and cyber warfare) Ethical theory (moral luck, self-defense) Philosophy of law (legal philosophy, just war principles) Grants & Awards: NSF-funded projects totaling nearly $1M Fulbright Specialist Award (Iceland, 2018) Fellowships at Stanford Law School’s Center for Law and the Biosciences Contributions to Arctic policy and cybersecurity frameworks Publications: Authored/edited over 100 works, including monographs like *Terrorism, Ticking Time-Bombs, and Torture* (2012) and the forthcoming *Bioethics: New Directions*. Key edited volumes include *Binary Bullets: The Ethics of Cyberwarfare* (2016) and *Ethics and Error in Medicine* (2020). Engagement: Volunteers in tax assistance programs for rural Alaskans and participates in ethics education initiatives. Active in the International Society for Military Ethics and the Asia-Pacific Chapter.

Bassam Shaerمشاهده پروفایل

استاد

• Embedded System Design
• VLSI Design and Test
• Digital Signal Processing
• +۵ مورد دیگر

Dr. Bassam Shaer is a Professor in the Department of Electrical and Computer Engineering at the University of West Florida (UWF), affiliated with the Hal Marcus College of Science and Engineering. He has over 20 years of experience in academia, with a focus on embedded systems, VLSI design, and distance learning methodologies. Shaer earned his Ph.D. and M.S. in Electrical Engineering from the University of South Florida and a B.S. from the University of Florida. Educational Background: Ph.D. in Electrical Engineering, University of South Florida (Tampa, FL) M.S. in Electrical Engineering, University of South Florida (Tampa, FL) B.S. in Electrical Engineering, University of Florida (Gainesville, FL) Research Interests: Dr. Shaer's work spans embedded system design , VLSI testing and partitioning , analog/digital electronics , and distance-learning laboratory development . His innovations include energy conservation systems, robotic ball collection mechanisms, and intelligent tracking telescopes. He emphasizes practical applications of microcontrollers and FPGA-based solutions. Teaching: Shaer teaches courses such as Electronic Circuits , VLSI , Digital Computer Architecture , and Microprocessor Applications , integrating hands-on lab experiences. He has developed interactive distance-learning systems to enhance accessibility in engineering education. Professional Contributions: He has reviewed over 10 academic journals and contributed to projects like solar array positioning systems and LabVIEW-based plotter controls. His research often bridges theoretical engineering principles with real-world applications in robotics, renewable energy, and automated systems. Labs/Teams: He collaborates with initiatives like the Science Olympiad and Science Showcase , promoting interdisciplinary engineering education and innovation.