جست‌وجوی استاد و پژوهشگر

• Pedestrian Dynamics
• Human Crowd Modeling
• Social Interaction in Physics
• +۷ مورد دیگر

Francesco Zanlungo is a Researcher in the Department of Physics and Chemistry at the University of Palermo, working within the Emilio Segrè Office. His research focuses on pedestrian dynamics, human crowd modeling, and social interaction effects in collective behavior. University: University of Palermo Department: Physics and Chemistry - Emilio Segrè Academic Rank: Researcher Zanlungo's work explores collision avoidance mechanisms, stripe formation in cross-flows, and social group dynamics using computational physics and agent-based models. He has developed cellular automaton frameworks and congestion metrics to analyze pedestrian flow. His recent publications (2020-2025) highlight trends in modeling pedestrian interactions, social norms, and density-dependent dynamics in crowds. Key subfields include collision avoidance, group behavior, computational modeling, and urban mobility optimization. He maintains regular office hours at Viale delle Scienze 18, available Tuesday and Wednesday afternoons. His research contributes to understanding how social interactions shape collective movement patterns and informs crowd management strategies.

Hao Chengمشاهده پروفایل

استادیار

• Artificial Intelligence for Geo-Science
• Computer Vision
• Autonomous Driving
• +۴ مورد دیگر

Dr Hao Cheng is an Assistant Professor (from 1 Oct 2024) in the Department of Earth Observation Science, ITC Faculty, University of Twente, the Netherlands. He currently holds a Marie Skłodowska-Curie European Postdoctoral Fellowship focused on vehicle-vulnerable road user interactions for safer intelligent transportation and autonomous driving systems. Education: Ph.D. (with distinction) in Civil Engineering & Geodetic Science, Leibniz Universität Hannover, Germany, 2021 M.Sc. (with distinction) in Internet Technologies & Information Systems, joint programme of TU Braunschweig, Leibniz Universität Hannover, TU Clausthal & University of Göttingen, Germany, 2017 Research interests lie at the intersection of Artificial Intelligence and Geo-Information Science , with principal themes: Deep learning & computer vision for road-user behaviour modelling Trajectory prediction and motion forecasting for autonomous driving Interaction & safety analysis between vehicles and vulnerable road users (pedestrians, cyclists) Ethical, explainable and accessible AI for geospatial applications Graph neural networks, diffusion models and transformer architectures applied to dynamic scene understanding His recent publication portfolio (2018-2025) demonstrates a strong methodological core in deep learning and computer vision deployed across transportation safety , 3D mapping , remote sensing and human-machine interaction . A notable trend is the migration from early LSTM-based traffic modelling toward contemporary transformer, graph and diffusion frameworks that deliver diverse, controllable and interpretable predictions for real-world autonomous-driving scenes. Scientific recognition: Marie Skłodowska-Curie Actions European Postdoctoral Fellowship (MSCA) – VeVuSafety project Grants & projects: Cheng is principal investigator of the MSCA-funded VeVuSafety project (Grant 101062870) which develops learning-based models of vehicle-VRU interactions to enable safer intelligent transport systems. Labs & teams: From October 2024 he will lead research activities within the Department of Earth Observation Science at ITC, University of Twente, collaborating with the broader ITC AI-for-Geo groups and transportation-safety institutes across Europe.

• International Law
• European Union Law
• International Organizations
• +۵ مورد دیگر

Ivan Ingravallo serves as Full Professor of International Law (SSD IUS/13) at the University of Bari Aldo Moro within the Ionian Department of Legal and Economic Systems of the Mediterranean: Society, Environment, Cultures. His primary teaching responsibilities include International Law and International Organization for the Master's Degree in Law program. His research focuses on critical intersections of global governance, with particular expertise in: Legal frameworks of international organizations and UN peacekeeping operations European Union integration processes and enlargement challenges Environmental dimensions of sustainable development in Mediterranean contexts Counter-terrorism measures and human rights protections Analysis of his recent publications reveals consistent engagement with evolving legal frameworks governing Mediterranean regional cooperation, EU institutional responses to democratic backsliding, and adaptation of international law to contemporary security challenges including cyber warfare and pandemic response. His scholarly output demonstrates methodological rigor in examining treaty implementation gaps and norm development processes. Professor Ingravallo actively contributes to academic discourse as co-editor of "Studi sull'integrazione europea" and editor-in-chief of "La Comunità Internazionale". His teaching portfolio spans two decades, featuring courses in International Environmental Law, European Union Procedural Law, and Human Rights Protection across multiple Italian universities including LUISS, Sapienza, and LUMSA. His institutional engagement includes significant contributions to curriculum development for specialized programs including the Master's Degree in Social Inclusion Policy Planning and the Interfaculty Master's in Modern Languages for International Cooperation. Office hours are conducted Monday mornings at the Taranto campus located at Via Duomo, former Rossarol Barracks.

• Trustworthy AI
• Medical Imaging
• Data Science
• +۶ مورد دیگر

Xiaofeng Liu is an Assistant Professor at Yale School of Medicine with joint appointments in Radiology & Biomedical Imaging and Biomedical Informatics & Data Science . He is an Associate Member at the Broad Institute of MIT and Harvard , and actively engaged in editorial roles as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and Journal of Medical Internet Research . His research spans trustworthy AI , medical imaging , and data science with applications in disease diagnosis and treatment monitoring. His research focuses on generalizable AI models for medical imaging, particularly in domain adaptation , diffusion models , and multimodal analysis . Recent work trends include AI-driven oncology (e.g., glioblastoma survival prediction), medical image enhancement (super-resolution, PET denoising), and clinical decision systems for Crohn's disease and depression detection. Collaborations with Georges El Fakhri and Jinsong Ouyang demonstrate cross-disciplinary approaches. 2025 Robert F. Wagner Best Student Paper Finalist Award 2024 Trailblazer R21 NIH Award 2024 NSF NAIRR Pilot Award 2024 Google Cloud Research Credits The Xiaofeng Liu Lab (Whisk Cup) develops AI methods for biomedical imaging, affiliated with the Yale Biomedical Imaging Institute and Center for Brain & Mind Health . The lab trains students in deep learning , medical image analysis , and health informatics .

Bashar Saleem Abbas Alsadikمشاهده پروفایل

استادیار

• Photogrammetry
• Geometric computer vision
• UAV autonomous navigation and mapping
• +۸ مورد دیگر

Dr. Bashar Saleem Abbas Alsadik is an Assistant Professor in the Department of Earth Observation Science at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands. He earned his PhD in 2014 from the same university with research on close-range photogrammetry for 3-D heritage modelling and holds a B.Sc. in Surveying Engineering (University of Baghdad, 1995). Before joining ITC he served as a faculty member at the University of Baghdad (1999-2014) and later as R&D Specialist Engineer at CycloMedia Technology (2015-2019). Education: PhD, University of Twente, 2014 – Guided Close-range Photogrammetry for 3D Modeling of Cultural Heritage Sites B.Sc., University of Baghdad, 1995 – Surveying Engineering Research interests centre on photogrammetry, geometric computer vision, UAV-based autonomous navigation and mapping exploiting SLAM and Next-Best-View methodologies, mobile mapping & LiDAR systems, adjustment computations, and heritage 3-D documentation. He actively develops educational material for ITC’s UAV centre and contributes to capacity-building projects. His publication record (h-index 11, 371 citations) demonstrates a clear trajectory from cultural-heritage photogrammetry toward real-time UAV autonomy, safety-critical infrastructure monitoring (e.g., Mosul dam), and multi-sensor geospatial datasets, reflecting interdisciplinary integration of computer vision, geodesy and robotics. Professional service: member of ISPRS, CIPA and the Iraqi Engineers Syndicate; reviewer for leading journals such as ISPRS J., Remote Sensing, IEEE T-GRS, Drones, Journal of Cultural Heritage, Photogrammetric Record, and several conferences.

• Computer Vision
• Pattern Recognition
• Human Behavior Understanding
• +۵ مورد دیگر

Anis KACEM is a Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg, part of the Signal Processing and Satellite Communications (SIGCOM) research group. His work focuses on Computer Vision and Pattern Recognition, particularly in Human Behavior Understanding from visual data. He received his PhD in Computer Science from the University of Lille (France) in 2018. Research interests include advanced topics such as Earth Observation via multi-modal autoencoders, domain adaptation for image classification, vulnerability-aware deepfake detection, and CAD system reverse engineering. His contributions span neural network pruning, 3D shape analysis, and generative models for medical imaging. Publications highlight innovations in spatio-temporal learning for deepfake detection, hybrid attention mechanisms for pedestrian detection, and tool-augmented CAD task solvers. His work bridges theoretical advances with practical applications in autonomous systems and space technology. Notably, he has contributed to challenges like the SHARP 2023 Challenge on CAD history recovery and developed frameworks like Picasso for CAD sketch inference using self-supervised learning.

Rob Cavagnaroمشاهده پروفایل

استادیار مدعو

• Marine Energy
• Wave Energy
• Tidal Energy
• +۵ مورد دیگر

Rob Cavagnaro serves as a Mechanical Engineer at Pacific Northwest National Laboratory (PNNL) and holds an adjunct faculty appointment as Affiliate Assistant Professor in the Electrical and Computer Engineering Department at the University of Washington. His research focuses on advancing marine renewable energy technologies, particularly wave and tidal energy systems, and their integration with ocean observing applications through initiatives like Powering the Blue Economy. His educational background includes: PhD in Mechanical Engineering, University of Washington MS in Mechanical Engineering, University of Washington BS in Mechanical Engineering, Carnegie Mellon University Cavagnaro brings nearly a decade of expertise in marine energy technology development, specializing in engineering design, prototyping, and testing of wave energy converters and tidal turbines. His work addresses critical challenges in environmental monitoring for marine energy sites, Arctic observations, and blue carbon habitats. He combines mechanical and electrical engineering principles to develop solutions for grid integration, cold-climate maritime applications, and negative emissions technologies powered by ocean renewable energy. Analysis of his 15 most recent publications (2020-2025) reveals a consistent focus on practical deployment of marine energy systems. Key research trends include wave-to-grid conversion efficiency, autonomous vehicle integration with tidal turbines, and interference characterization in wave-powered buoys. His interdisciplinary approach spans renewable energy engineering, environmental science, and ocean observation, with significant contributions to Arctic energy applications and blue carbon monitoring. At PNNL, Cavagnaro contributes to the Marine and Coastal Research portfolio within the Environmental Molecular Sciences Laboratory framework. He maintains a joint appointment as Senior Engineer at the University of Washington's Applied Physics Laboratory, facilitating collaboration between national laboratory research and academic engineering programs. His work supports the development of sustainable ocean-based economic activities through reliable marine renewable energy solutions for scientific observation platforms and maritime operations.

• Aerospace Engineering
• Aeroelasticity
• Multidisciplinary Optimization
• +۶ مورد دیگر

Paolo Gasbarri is a Full Professor in the Department of Aerospace and Astronautical Engineering at the University of Rome La Sapienza, School of Aerospace Engineering. With over 25 years of academic experience since becoming an Assistant Professor in 1996, he has established himself as a leading expert in aerospace structures and dynamics, with significant contributions to space robotics and control systems. Professor Gasbarri's research focuses on the complex interplay between structural dynamics and control in space systems. His work spans aeroelasticity, multidisciplinary optimization, active vibration control of flexible spacecraft, guidance and control of multi-body systems in space, and structural health monitoring. Recent publications demonstrate a strong emphasis on applying deep learning techniques to structural health monitoring of space structures and developing advanced control strategies for flexible spacecraft with spinning appendages. His research shows a clear trend toward integrating artificial intelligence with traditional aerospace engineering approaches to solve complex space system challenges. Corresponding Member of International Academy of Astronautics (IAA) since 2006 Full Member of International Academy of Astronautics (IAA) since 2009 President of Structures and Materials Committee of International Astronautical Federation since 2008 Editor-in-Chief of AIDAA journal 'Aerotecnica Missili e Spazio' Professor Gasbarri has secured significant research funding through multiple European Space Agency (ESA) contracts and international collaborations, including programs with Thales Alenia Space, ONERA, and ASTRIUM. His leadership extends to coordinating joint research activities between the University of Rome and the Brazilian Space Research Center (INPE). He has also served as a scientific referee for numerous international journals and as a member of prestigious organizations including the NATO Research Technology Agency working groups and the International Astronautical Federation.

Hernán Abaunza Gonzálezمشاهده پروفایل

استاد

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Drone Navigation
• +۳ مورد دیگر

Hernán Abaunza González is a full-time Professor at Tecnológico de Monterrey, Guadalajara campus, within the School of Engineering and Sciences and the Department of Electrical, Electronics and Communications Engineering. He serves as Director of the Robotics and Digital Systems Engineering Program and is a member of Mexico's National System of Researchers (SNI-1). His educational background includes: Mechatronics Engineer, Tecnológico de Monterrey (2012) Master of Science in Autonomous Aerial and Submarine Navigation Systems, CINVESTAV-IPN (2014) PhD in Robotics and Automation, Université de Technologie de Compiègne (2019) Dr. Abaunza's research centers on drone control and navigation, specializing in quaternion-based control laws for agile flight, trajectory generation algorithms, and drone fleet formation techniques. His work bridges theoretical control systems with practical environmental and humanitarian applications, particularly in reforestation and search/rescue operations. The integration of computer vision and energy optimization demonstrates interdisciplinary innovation. Analysis of his 2017-2025 publications reveals a progressive shift toward real-world UAV deployment, with increasing emphasis on multi-drone coordination, battery efficiency, and human-drone interaction. Core technical themes include nonlinear control theory and sensor fusion, while application domains span environmental restoration (reforestation), disaster response, and precision agriculture. His scientific recognition includes: IEEE Robotics and Automation Letters Outstanding Reviewer (2022) Mexican Researcher Certification Level 1 (SNI-1) As program director, Dr. Abaunza shapes robotics curriculum and research strategy. His work aligns with UN Sustainable Development Goals for Climate Action (ODS 13), Life on Land (ODS 15), and Responsible Consumption (ODS 12), though specific grant funding details are not disclosed in the source material. Teaching responsibilities include Design and Development of Robots and Implementation of Intelligent Robotics courses.

Walter W. Choمشاهده پروفایل

استاد

• Marine Biology
• Biodiversity
• Biogeography
• +۵ مورد دیگر

Walter W. Cho, Ph.D., is a Professor of Biology at Point Loma Nazarene University (PLNU) in the Department of Biology within the School of Arts and Sciences. He joined PLNU in 2012 after completing his postdoctoral work at Woods Hole Oceanographic Institution. Dr. Cho teaches a range of courses including Human Biology and Bioethics, Ecological and Evolutionary Systems, Introduction to Oceanography, Marine Biology, and Experimental Marine Ecology at both undergraduate and graduate levels. Dr. Cho earned his Ph.D. in Biological Oceanography from the Massachusetts Institute of Technology/Woods Hole Oceanographic Institution Joint Program and received his B.A. in Biology from Harvard University. His academic journey included graduate work at MIT-WHOI (2002-2008), a postdoctoral position at WHOI (2009-2013), and a brief appointment as Assistant Professor of Biology at Gordon College (2011-12). As a marine biologist, Dr. Cho's research focuses on the biodiversity, biogeography, and population connectivity of marine fauna, with particular interest in the invertebrate associates of deep-sea corals. He employs molecular and ecological tools to study these communities, often conducting research in extreme deep-sea environments including hydrothermal vents and trenches. His work has taken him aboard submersibles like Alvin to explore previously unvisited areas of the ocean floor, including the Kermadec Trench, one of Earth's deepest locations. Dr. Cho's publication record demonstrates consistent research activity from 2010-2016, with emphasis on deep-sea coral communities, seamount ecosystems, and the impacts of environmental disturbances like the Deepwater Horizon oil spill. His collaborative approach is evident in his numerous multi-author publications spanning marine biology, robotics, and environmental science. His scientific achievements have been recognized through several awards: WHOI Ocean Life Institute Student Fellowship WHOI Research Fellowship 2011 Excellence in Partnering Award with the LOPHELIA II Project Dr. Cho actively contributes to the scientific community as an external manuscript reviewer for numerous scientific journals and as a member of the Association for the Sciences of Limnology and Oceanography since 2010. He has mentored PLNU student researchers since 2013, taking students on research expeditions to observe deep-sea environments from ships. His work often involves collaboration with research teams using advanced technologies including autonomous underwater vehicles for marine observation. As both a scientist and Christian, Dr. Cho integrates his faith with his scientific exploration, viewing the complexity of marine ecosystems as evidence of divine creation. He emphasizes the importance of curiosity and exploration across all disciplines as reflective of being made in God's image.

• Theory of Informatics
• Computer Systems
• Distributed Algorithms
• +۲ مورد دیگر

Professor in the Department of Information Engineering, Graduate School of Engineering, specializing in distributed algorithms and autonomous mobile robotics. Research focuses on self-stabilizing systems for luminous robots, fault tolerance, and grid-based coordination with applications in dynamic network environments. Degrees: Doctor (Engineering) and Master (Engineering) from Osaka University Professional Memberships: ACM, IEEE Computer Society, Information Processing Society of Japan (IPSJ), Institute of Electronics, Information and Communication Engineers (IEICE) Research centers on theoretical informatics and computer systems, particularly self-stabilizing distributed algorithms for robot swarms. Key areas include visibility problems in luminous robots, Byzantine fault tolerance, and uniform deployment in bipartite graphs. Recent work addresses defected-view models and st-edge-ordering via ear decomposition, emphasizing algorithmic solvability under asynchronous conditions. Publications since 2022 reveal strong trends in mobile robotics (70% of output) and distributed computing (30%), with subfield emphasis on fault tolerance (25%), grid networks (20%), and self-stabilization (15%). International collaborations with Israeli and Japanese researchers dominate recent work. Information and System Society Contribution Award (2024) - For editorial contributions to English-language journals 13th Telecommunications Advancement Foundation Award (1998) - For student research in telecom systems Secured multiple competitive grants including JSPS KAKENHI projects (2020–2025) as co-PI on $$\text{JP20KK0232}$$ ($$\text{\$18.72M JPY}$$) for sustainable autonomous systems, and JST SICORP funding (2018–2022) for low-functionality robot swarms. Previously led NTT DoCoMo collaborations on fault-tolerant routing (2007–2008) and sensor networks (2004–2006). Serves as advisor to researchers like Yonghwan Kim and Masahiro Shibata through co-authored publications. Leads the Center for Research and Development in Higher Engineering-Education while chairing major symposia including the 26th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2024). Organizes the Information Science Workshop series as committee chair and participates in program committees for CANDAR and IEEE conferences.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۲ مورد دیگر

Monika Farsang is a PreDoc Researcher at the Cyber-Physical Systems research group (E191-01) at TU Wien, Austria. She holds an MSc degree and actively contributes to interdisciplinary research bridging computational intelligence and physical systems. Her expertise spans Artificial Intelligence , Machine Learning , and Neural Networks with specialization in biologically-inspired architectures. She investigates Autonomous Systems and Robotics , focusing on multimodal perception (RGB-D) and system dynamics modeling in partially-observable environments. Monika has supervised two Master's theses: M.-T. Stanusoiu (2025): Modeling System Dynamics In Partially-Observable Environments Using Biologically-Inspired Recurrent Neural Networks M.-L. Clement (2025): Multimodal RGB-D Autonomous Agents Steered by Deep Neural Networks She is embedded within TU Wien's Cyber-Physical Systems research team, advancing methodologies for integrating algorithmic decision-making with physical processes through recurrent neural network frameworks.

Steven Moradمشاهده پروفایل

مدرس

• Reinforcement Learning
• Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Steven Morad is a Lecturer and PhD student in the Department of Computer Science and Technology at the University of Cambridge. His research focuses on reinforcement learning, long-term memory models, and robotics applications, with an emphasis on partially observable environments and multi-agent systems. He has taught Deep Reinforcement Learning (Lent 2024) and served as a Teaching Assistant for Mobile Robot Systems (2021–2022). His work includes developing frameworks for embodied navigation, memory-augmented algorithms, and cooperative multi-robot systems. Notable contributions include the POPGym benchmark for POMDPs and the NASA-recognized Improving Visual Feature Extraction in Glacial Environments (2019). Research themes span robotics in extreme environments (e.g., lunar caves, low-gravity terrains) and graph-based methods for partial observability. His publications address challenges in decentralized control, topological priors, and language-conditioned navigation. Education : MSc Thesis on The Spinning Projectile Extreme Environment Robot (2019). Awards : NASA New Technology (NTR NPO 51401) for glacial robotics work. Collaborations : NASA/JPL, IEEE, and aerospace industry partnerships.

• Marine Robotics
• Unmanned Marine Systems
• Underwater Gliders
• +۵ مورد دیگر

Professor Ralf Bachmayer serves as Professor of Marine Environmental Technology and Deep-Sea Engineering at MARUM - Center for Marine Environmental Sciences, University of Bremen, Germany. Appointed in July 2017 through the Werner Siemens Foundation professorship, he leads the Research Group for Marine Environmental Technology and Deep-Sea Engineering at the Center for Deep-Sea Research building. His work focuses on developing advanced marine robotics systems for environmental observation in challenging ocean environments. Professor Bachmayer's educational background includes: Engineering degree in electrical engineering from Technische Universität Karlsruhe (1995) Diploma thesis at Woods Hole Oceanographic Institution (USA) M.Sc. and Ph.D. at Johns Hopkins University focusing on underwater propulsion systems Postdoctoral research at Princeton University (2000-2003) Research position at National Research Council Canada (2003-2008) Faculty position at Memorial University of Newfoundland (2008-2017), where he founded the Autonomous Ocean Systems Laboratory His research specializes in the design, control, and networking of heterogeneous marine observation systems for persistent, long-term monitoring. Professor Bachmayer has made significant contributions to underwater glider technology, navigation systems, and vehicle control mechanisms that operate effectively in polar regions and other challenging marine environments. His work bridges engineering principles with practical oceanographic applications, developing systems capable of extended autonomous operations in harsh conditions where traditional methods fail. Analysis of Professor Bachmayer's recent publications reveals a clear progression toward more sophisticated marine observation technologies. His research increasingly focuses on energy optimization for long-duration missions, advanced navigation techniques including terrain-aided methods, and specialized vehicle designs for extreme environments like polar regions. The integration of computer vision, sensor networks, and collaborative systems represents a growing trend in his work, enabling more comprehensive and persistent ocean monitoring capabilities. Professor Bachmayer directs the Innovationszentrum für Tiefsee-Umweltüberwachungen (Innovation Center for Deep-Sea Environmental Monitoring) at MARUM, which develops cutting-edge technologies for marine environmental observation. His team collaborates extensively with international partners on marine robotics research and technology development, contributing to major ocean observation initiatives. The group maintains strong connections with previous institutions, particularly through the Autonomous Ocean Systems Laboratory network, facilitating continued advancement in underwater vehicle technologies.

Jean Hyaejin Ohمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Jean Hyaejin Oh is an Associate Research Professor at Carnegie Mellon University's Robotics Institute, where she leads the Bot Intelligence Group. Her research focuses on developing persistent robots capable of coexisting with humans through advances in AI, language understanding, multimodal perception, and navigation systems. She investigates how robots can interpret verbal commands, describe environments, generate semantic navigation plans, and explain their actions using natural language. Her work spans autonomous systems, human-robot interaction, computer vision, and machine learning, with emphasis on translating information between vision, language, and planning. Current projects include: DARPA ALIAS program (co-PI): Developing cockpit automation through semantic perception and pilot observation learning ARL RCTA program (PI): Intelligence architecture for language-guided robot navigation US DoD-Korea MOTIE collaboration (co-PI): Disaster response robotics using social media data Awards include: Best Cognitive Robotics Paper Award at ICRA 2015 She advises 10 PhD students and 1 master's student, with research outputs spanning robotic art, trajectory prediction, 3D vision, embodied AI, and autonomous exploration. Her recent publications demonstrate strong interdisciplinary focus across robotics, computer vision, and human-centered AI.