جست‌وجوی استاد و پژوهشگر

Josep Casanovasمشاهده پروفایل

استاد

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +۴ مورد دیگر

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

Michal Kalkowskiمشاهده پروفایل

دانشیار

• Non-destructive testing
• Material characterisation
• Ultrasonic imaging
• +۶ مورد دیگر

Michal Kalkowski is an Associate Professor at the University of Southampton's Institute of Sound and Vibration Research (ISVR). His research focuses on structural wave and vibration analysis for non-destructive testing, material characterization, and infrastructure monitoring. He develops advanced modeling tools and signal processing techniques for applications in nuclear energy, aerospace, and water industries. Current projects include weld inspection through ultrasound-based 'weld map tomography' and leak detection in buried pipes using distributed acoustic sensing. He is Editor of the Journal of Sound and Vibration and Co-chair of the UK Acoustics Network UKAN+. Education: MEng in Control Engineering & Robotics (AGH University, Krakow), PhD in Structural Wave Applications (ISVR, 2010). Postdoctoral work included EPSRC projects on active vibration control and underground structure interrogation. Served as H2020 ADVISE project researcher at Imperial College London before returning to Southampton in 2021 as Lecturer in Dynamics. Teaching responsibilities include coordinating the Mechanics, Machines & Vibration module (joint with Harbin Engineering University), and teaching Statics/Dynamics (FEEG1002) and Fundamentals of Vibration (ISVR6141). Actively supervises four PhD students in engineering disciplines. Research highlights include: Developing numerical models for wave propagation in complex materials Pioneering weld map tomography for grain orientation analysis Advancing distributed acoustic sensing for infrastructure monitoring AI integration for coarse-grained metal characterization Current active projects: Horizon Europe iWeld intelligent Weld inspection and EPSRC Core Equipment grants.

Sebastian Sardinaمشاهده پروفایل

استاد

• Artificial Intelligence
• Automated Planning
• Knowledge Representation
• +۴ مورد دیگر

Professor Sebastian Sardina is a Professor in Artificial Intelligence at RMIT University's School of Computing Technologies. He holds a Bachelor's from South National University (Argentina) and a PhD from the University of Toronto (Canada). His research focuses on AI for dynamic systems, including automated planning, knowledge representation, and agent-oriented programming. He has contributed to enhancing agent programming languages with learning capabilities and advanced AI planning techniques. His work frequently appears in top AI venues like IJCAI and AAAI, with notable best paper nominations. Teaching interests include foundational CS courses such as Theory of Computation and Intro to AI. He actively promotes computational thinking through workshops for youth and educators, including roles in Victorian curriculum development (VCE Algorithmics). Supervision projects span hand gesture recognition, autonomous vehicle safety, and goal recognition in path-planning. His research has been presented globally and applied across domains like aviation safety, manufacturing systems, and healthcare. Recent trends in his publications emphasize goal recognition techniques (e.g., process mining applications), agent behavior modeling, and interdisciplinary AI applications in healthcare and automotive engineering. He has collaborated with industry and academic partners internationally, contributing to both theoretical advancements and practical AI solutions. Scientific Recognition: Multiple best paper nominations in AI conferences. Community Engagement: MAV conference presenter, VCAA Algorithmics curriculum panel member (2023). Supervision: Active mentor for 4+ research projects in AI planning and recognition.

Maryam Zahabiمشاهده پروفایل

دانشیار

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

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

• Mechanical Engineering
• Multibody Dynamics
• Nonlinear Mechanics
• +۷ مورد دیگر

Shabana Ahmed is the Richard and Loan Hill Professor of Engineering at the University of Illinois at Chicago (UIC), affiliated with the Urban Transportation Center. Her expertise spans mechanical engineering, multibody dynamics, nonlinear mechanics, and computational mechanics, with a focus on vehicle systems analysis, railroad engineering, and soft robotics. She holds a prominent role in advancing geometrically accurate finite element methods and ANCF approaches for analyzing complex mechanical systems. Her research integrates theoretical mechanics with practical applications in transportation, robotics, and material science. Her work includes studies on railroad vehicle dynamics, soft material behavior, and thermal-elastic coupling in articulated systems. Notable contributions include developing numerical methods for analyzing gear systems, beam elements, and liquid sloshing problems. She also explores the application of Lagrangian principles and Frenet force analysis in performance evaluation of mechanical systems. Shabana Ahmed has published extensively on topics such as constrained large-displacement thermal analysis, nonlinear strain measures, and the mechanics of flexible robots. Her research bridges computational methods with real-world engineering challenges, emphasizing accuracy and practical implementation.

Dimitris Chrysostomouمشاهده پروفایل

دانشیار

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۴ مورد دیگر

Dimitris Chrysostomou is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. He leads the Robotics & Automation Group and directs the AI:Cybernetics Lab. His work focuses on developing safe, intuitive robotic systems for industrial and social contexts, emphasizing human-robot interaction (HRI), AI ethics, and collaborative robotics. Chrysostomou has over 15 years of research experience, funded by EU frameworks and national grants, with over 70 peer-reviewed publications. Education: PhD in Robot Vision (2013) and Diploma in Production Engineering (2006) from Democritus University of Thrace. He coordinates courses in robotics and manufacturing technology, emphasizing problem-based learning models. Administrative roles include heading the Robotics and Automation Group and the Aalborg Robotics Challenge steering committee. Research interests span AI-driven robotics, ethical implications of robot behavior, and HRI evaluation methodologies. Key projects include SAPIENT (2025-2027) for robotic intelligence and RIACT (2024-2025) on collaborative robot technology. Editor-in-Chief of *Industrial Robot* journal, IEEE Senior Member, and leader in euRobotics standardization initiatives. Notable contributions include virtual assistants for industrial robots, trust evaluation frameworks in HRI, and energy-based approaches for collaborative robotics. Active in conference organization, editorial roles, and industry collaborations, including co-founding AI startups.

Francesco Lelliمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Science
• Digitalization
• +۷ مورد دیگر

Francesco Lelli is an Assistant Professor at Tilburg School of Economics and Management (TiSEM), Tilburg University, where he holds a position in the Department of Information Systems and Operations Management. His academic work bridges theoretical research with practical applications in digitalization, smart technologies, and industry transformation. He actively contributes to the Master in Information Management program, teaching Business Process Integration and Service-Oriented Architecture courses. His research focuses on human-device interaction, artificial intelligence ethics, Industry 4.0 applications, and data-driven decision-making. He has published extensively on topics like smart device agency, cybersecurity in financial systems, and interoperability frameworks. Notable datasets include studies on S&P500 security breaches and human-smart device relationships. Recent publications highlight trends in AI ethics, Industry 4.0 digital twins, and sociotechnical system analysis. His work emphasizes societal relevance, with projects addressing technology adoption challenges and ethical dimensions of emerging technologies. Francesco maintains an open-door policy for collaboration and mentorship, offering thesis guidance in information systems, cloud computing, and AI applications. He actively engages with industry partners to ensure research translates into real-world impact.

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

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

Adam Woodمشاهده پروفایل

استادیار

• Sustainable Water Purification
• Microfabrication and Microsystems
• Plant Biology
• +۳ مورد دیگر

Dr. Adam Wood is an Assistant Professor of Engineering at Saint Vincent College since 2020. He holds a Ph.D. in Mechanical Engineering from Carnegie Mellon University, an M.S. from the University of Illinois at Urbana-Champaign, and a B.S. from the University of Pittsburgh. His research focuses on sustainable water purification, microfabrication, and plant biology, particularly exploring biomimetic solutions for desalination using plant-derived materials and food waste. He actively engages students in research projects and career development. Dr. Wood’s work emphasizes environmental sustainability through innovative materials science, including carbon electrodes from bread and mangrove roots. His publications span desalination technologies, microfluidic cell studies, and soft robotics. He teaches courses such as Statics, Materials Engineering, and Design with Modern Materials. While no awards are explicitly noted, his research contributions highlight interdisciplinary approaches to global challenges like water scarcity and renewable materials. His advising and grants section remains underdeveloped in available texts, but his labs focus on biomimetic engineering and sustainable systems. Collaborations include studies on tumor cell behavior in soft matrices and chemotactic cell responses in microfluidics.

Cindy K Harnettمشاهده پروفایل

استاد

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

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

Tamas Koltaiمشاهده پروفایل

استاد

• Operations Management
• Industrial Engineering
• Production Planning
• +۱۲ مورد دیگر

Tamas Koltai is a Professor at the Budapest University of Technology and Economics, affiliated with the Department of Management and Corporate Economics within the Faculty of Economic and Social Sciences. He holds a PhD in Industrial Engineering and is actively contributing to research in operations management, production planning, and industrial engineering. His research interests include: Operations Management Industrial Engineering Production Planning Assembly Line Balancing Human-Robot Collaboration Data Envelopment Analysis (DEA) Supply Chain Management Learning Curves Flexible Manufacturing Systems Performance Evaluation His recent publications focus on applying mathematical programming models (MILP, CP), simulation, and DEA to optimize assembly lines, particularly under learning effects and human-robot collaboration. He explores workload distribution, cycle time optimization, and efficiency evaluation in both manufacturing and service sectors, including healthcare and business simulation games. His work bridges theoretical models with practical industrial applications, supporting managerial decision-making under uncertainty. While no specific scientific awards are listed, his extensive publication record (over 50 papers) and high citation count reflect significant academic impact. He frequently collaborates with researchers such as Imre Dimény, Noémi Kalló, Viola Gallina, and Rita Dénes. There is no public information on PhD students advised or grants received. His work does not mention specific labs or research teams, but his focus on applied operations research suggests strong industry collaboration potential.

• Computer Science
• Artificial Intelligence
• Robotics

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

Matthias Althoffمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Formal Verification
• Autonomous Vehicles
• +۵ مورد دیگر

Prof. Dr. Matthias Althoff is an Associate Professor of Cyber-Physical Systems at the Technical University of Munich (TUM), leading the Chair of Cyber-Physical Systems within the TUM School of Computation, Information and Technology. His research focuses on formal safety verification, model-based design, and reachability analysis for systems such as autonomous vehicles, robotics, and power grids. Education: He earned his diploma in Mechatronics and Information Technology (2005) and PhD (2010, summa cum laude) from TUM. He held postdoctoral positions at Carnegie Mellon University (2010–2012) and served as a junior professor at TU Ilmenau (2012–2013) before joining TUM as a full professor in 2013, becoming an associate professor in 2019. Research Interests: His work spans cyber-physical systems, formal methods for safety assurance, autonomous vehicles, modular robotics, and smart grid control. He develops tools like CommonRoad and CORA for scenario-based testing and reachability analysis. Awards: He has received the IEEE/ACM William J. McCalla ICCAD Best Paper Award (2012) and the Best Poster Award at the IEEE Intelligent Vehicles Symposium (2009). Labs/Projects: Leads the Cyber-Physical Systems group, collaborating on projects such as the Scenario Factory for automated vehicle testing and CommonPower for safe smart grid control. He also co-founded startups RobCo and aiina .

Georgia Dedeمشاهده پروفایل

استادیار

• Cybersecurity
• Telecommunications
• Operations Research
• +۵ مورد دیگر

Georgia Dede is an Assistant Professor at the Department of Informatics and Telematics, School of Digital Technology, Harokopio University of Athens. Her expertise lies in evaluating systems and electronic services, with a focus on cybersecurity, telecommunications, and operations research. She holds a PhD from National and Kapodistrian University of Athens (2015), a Master’s in Management and Economics of Telecommunications Networks (2007), and an undergraduate degree in Informatics and Telematics (2005). Education: PhD: Decision Making Methods and Uncertainty Study (2015), National and Kapodistrian University of Athens Master’s: Management and Economics of Telecommunications Networks (2007), National and Kapodistrian University of Athens Bachelor’s: Informatics and Telematics (2005), National and Kapodistrian University of Athens Research Interests: Georgia’s research spans cybersecurity frameworks, pairwise comparison methodologies for decision-making, and economic modeling of telecommunications infrastructure. She explores topics like resilient IoT systems, AI applications in governance, and competitive dynamics in energy and telecom markets. Her work integrates technical and socio-economic perspectives to address challenges in network security, service evaluation, and policy design. Grants and Projects: Leading and participating in EU-funded programs under Horizon Europe and Digital Europe initiatives Prior roles as senior advisor/administrator at Netcompany Intrasoft and ENISA Labs/Teams: Her involvement in projects at Harokopio University and collaborations with institutions like the University of Patras emphasize applied research in digital technology and policy innovation.

• Robotics
• Autonomous Systems
• Motion Planning
• +۳ مورد دیگر

Elias Xidias is an Assistant Professor at the Department of Product & Systems Design Engineering, University of the Aegean. His academic focus is on Motion Planning of Autonomous Moving Units . He holds a Ph.D. in Robotics from the University of Patras and has worked as a Research Engineer in the Robotics Intelligent Transportation Systems (RITS) team at INRIA de Paris. His research interests span Robotic Logistics , Intelligent Transportation Systems , and Human-Robot Collaboration , aiming to enhance automation in manufacturing and transportation through advanced algorithms and autonomous systems. Education : Ph.D. in Robotics, University of Patras (2009) M.Sc./B.Sc. in Mathematics, University of Patras (2003) Research Interests : Xidias' work focuses on optimizing autonomous systems in dynamic environments, including path planning for car-like robots, energy-efficient task scheduling, and collaborative robotics. He explores applications in warehouse automation, maritime navigation, and multi-robot coordination. His methodologies often integrate fuzzy logic, genetic algorithms, and probabilistic models to tackle real-world challenges in logistics and manufacturing. Key Contributions : Developed algorithms for AGV routing and motion planning in flexible manufacturing systems. Advanced real-time autonomous navigation techniques for maritime and aerial vehicles. Pioneered the Aegean Ro-Boat Race , fostering innovation in marine robotics. Grants & Collaborations : Xidias has collaborated with institutions like INRIA Paris and contributed to projects such as the RITS team. His work bridges academia and industry, addressing challenges in smart logistics and autonomous systems. Labs & Teams : Associated with the Robotics & Intelligent Transportation Systems research groups, focusing on applied robotics solutions for industrial and urban environments.