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Ramy Antar Ahmed Alham is a PhD Research Fellow in the Department of Engineering Sciences at the University of Agder, Norway, specializing in mechatronics and robotics for offshore applications. His work bridges engineering sciences with practical implementations in marine environments. His academic journey includes: Current PhD in Mechatronics at University of Agder M.Sc. in Marine Robotics from Norwegian University of Science and Technology (NTNU) M.Sc. in Engineering of Complex Systems from Université de Toulon, France Bachelor's in Mechanical Engineering (top of class honors) from Assiut University, Egypt His research focuses on developing advanced systems for offshore wind energy and marine robotics, with particular emphasis on navigation reliability, fault detection in ROVs, and digital twin implementations. This interdisciplinary work integrates control theory, observer design, and mechatronic innovation to solve complex engineering challenges in harsh marine environments. His distinguished academic achievements include: Highly competitive Erasmus Mundus Joint Master's Scholarship (5% acceptance rate) Top of class honors in undergraduate studies at Assiut University As a PhD Research Fellow, Alham is actively engaged in cutting-edge research but has not yet taken on formal student advising roles. His position is supported by institutional funding typical for doctoral candidates at Norwegian universities. He operates within the Department of Engineering Sciences' research ecosystem, contributing to Norway's strategic focus on offshore renewable energy technologies through his work on mechatronic systems for wind turbines and marine robotics.

• Mechatronics for offshore wind turbines
• Navigation systems
• Digital twins
• +4 more

Qiong Wang is an Associate Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign, affiliated with the College of Engineering. They hold the Arthur Davis Faculty Scholar title and are a Faculty Fellow at the Office of Risk Management and Insurance Research (ORMIR) in Finance. Their research focuses on inventory systems optimization, stochastic programming, assemble-to-order systems, and operations research. Key contributions include advancing asymptotic analysis for inventory control and exploring policies leveraging lead time randomness for cost reduction. Education details are not explicitly provided in the text. Research interests span optimization under uncertainty, supply chain management, and interdisciplinary applications in robotics and genomics. Notable work includes studies on miniature soft robots and genome assembly of marine species, indicating cross-disciplinary engagement. Recent publications emphasize dynamic systems analysis, material science innovations, and network economics. Articles explore topics like elastic snap-through mechanics, polymer actuator design, and competitive supply chain strategies. Despite prolific output, no specific awards or grants are mentioned in the provided texts. Advising activities and lab affiliations remain unspecified, though their roles suggest involvement in collaborative research teams.

• Inventory Systems
• Operations Research
• Optimization Problems
• +7 more

Anita Say Chan, Professor at the University of Illinois Urbana-Champaign, is a leading scholar at the intersection of science and technology studies, critical data analysis, and decolonial frameworks. She holds appointments in the College of Media and the School of Information Sciences (iSchool), directing the Community Data Clinic and co-leading the Just Infrastructures Initiative . Her research examines datafication, ethical technology design, and historical parallels between eugenics and Big Tech, as detailed in her acclaimed book Predatory Data: Eugenics in Big Tech . Education: PhD in History and Anthropology of Science and Technology Studies, MIT Chan’s work spans globalization and innovation economies , feminist data studies , and digital humanities , with a focus on marginalized communities and data sovereignty. Her publications address query optimization , graph-based AI , and reinforcement learning , reflecting a technical and critical lens. Recent awards include the Fiddler Innovation Faculty Fellow and support from the National Science Foundation . She also serves as a Fulbright Specialist , advancing feminist data collectives in Latin America. Key Contributions: Founding the Community Data Clinic at NCSA Co-leadership in the Just Infrastructures Initiative Collaboration on the Feminist Data Manifest-NO project

• Science and Technology Studies
• Globalization and Innovation Economies
• Critical Data Studies
• +7 more

Dr. Christopher Basu is a Lecturer in Veterinary Anatomy at the University of Surrey 's School of Veterinary Medicine . His research focuses on comparative biomechanics, particularly in large mammals like giraffes and elephants, as well as amphibians and other species. He employs advanced techniques such as UAV tracking, musculoskeletal modeling, and XROMM analysis. Dr. Basu holds a PhD and BVetMed and is a Member of the Royal College of Veterinary Surgeons (MRCVS). His work spans diverse areas including giraffe limb mechanics, avian flight efficiency, and frog hip rotation during jumping. His research interests include the biomechanics of animal movement, integrating field observations with computational models. He has explored feeding strategies in elephants, locomotion in tardigrades, and biomimetic robotics inspired by geckos. While no grants or awards are explicitly mentioned, his publications reflect a deep engagement with animal movement across scales. His advising and lab affiliations remain unspecified in the provided texts.

• Comparative Biomechanics
• Veterinary Anatomy
• Zoology
• +3 more

Jonathan Birch is a Professor of Philosophy at the London School of Economics and Political Science (LSE) and Principal Investigator of the Foundations of Animal Sentience project. He joined LSE in 2014 after serving as a Junior Research Fellow at Christ’s College, Cambridge, where he earned his PhD in 2013 with a dissertation on Kin Selection: A Philosophical Analysis . His research focuses on animal sentience, cognition, welfare, and the evolution of altruism and social behavior. He has also explored ethical implications of AI and consciousness in non-human entities. Birch’s work led to the UK’s Animal Welfare (Sentience) Act 2022 , which extended legal protections to cephalopods and decapods. He has authored two influential books: The Philosophy of Social Evolution (2017) and The Edge of Sentience (2024). He received the Philip Leverhulme Prize in 2014 for his contributions to interdisciplinary research. His research integrates philosophy, biology, and ethics, addressing topics like invertebrate welfare, AI sentience, and the precautionary principle. He collaborates across disciplines to advance evidence-based policies and ethical frameworks for emerging technologies and animal welfare.

• Animal Sentience
• Evolution of Altruism
• Philosophy of Biology
• +3 more

Kjetil Bergh Ånonsen is an Associate Professor at the University of Oslo's Section for Autonomous Systems and Sensor Technologies. His research focuses on advanced navigation systems, sensor fusion technologies, and autonomous vehicle applications in marine and indoor environments. He has contributed to projects involving ultrasonic positioning systems, terrain-aided navigation for underwater and surface vehicles, and collaborative indoor navigation for emergency services. His work integrates robotics, electrical engineering, and marine technology to enhance positioning accuracy and autonomous system reliability. His research interests include sensor-based navigation algorithms, multi-sensor data fusion, and real-time systems for autonomous systems. Key projects involve ultrasonic indoor positioning, pedestrian heading estimation using gravity vectors, and terrain-referenced navigation using sonar and environmental features. Publications highlight advancements in navigation systems for underwater vehicles (AUVs), surface vessels, and emergency response scenarios. His work emphasizes practical applications of robotics and sensor technologies in challenging environments.

• Autonomous Systems
• Sensor Technologies
• Navigation Systems
• +3 more

Ibnu Faizal is a Lecturer at Universitas Padjadjaran since March 2019, concurrently pursuing a Foreign Scholarship PhD in Coastal Systems and Nature-Based Engineering. He holds a Master of Ocean Engineering from Bandung Institute of Technology (2015) and a Bachelor of Marine Science from Universitas Padjadjaran (2012). Education: Master of Ocean Engineering (2012–2015), Bandung Institute of Technology Bachelor of Marine Science (2007–2012), Universitas Padjadjaran His research focuses on coastal systems, marine debris, environmental impacts of tourism, and sustainable development. Key topics include coral reef pollution dynamics, coastal scenic assessments, and autonomous ocean monitoring technologies. His work contributes to UN SDGs related to education and environmental sustainability. Recent publications (2022–2023) address marine debris baselines, pandemic impacts on Indonesian seas, and coastal tourism evaluations. He has an h-index of 25 with 258 citations. Advising: No formal advisees listed. Active in collaborative projects involving multi-disciplinary teams for ocean instrumentation and environmental monitoring. Lab/Team Affiliations: Involved in development of autonomous ocean monitoring systems and marine debris research initiatives.

• Marine Science
• Coastal Engineering
• Environmental Science
• +3 more

John Orcutt is a Distinguished Professor of Geophysics at the Scripps Institution of Oceanography, UC San Diego, and a Distinguished Researcher at the San Diego Supercomputer Center. He holds an academic rank of Professor and is affiliated with the Institute of Geophysics and Planetary Physics. His research focuses on ocean instrumentation, seismic studies, cyberinfrastructure, and tsunami early warning systems. Education: B.S. from the U.S. Naval Academy, M.S. from Liverpool University (England), and Ph.D. from UC San Diego/Scripps Institution of Oceanography. Orcutt has pioneered advancements in ocean-bottom seismometry, real-time data telemetry, and global seismic network development. His work integrates geophysical theory with cutting-edge technology, emphasizing cyberinfrastructure for sensor networks and environmental monitoring. Research interests include the internal structure of ocean spreading centers, mantle dynamics, and the application of supercomputing to geophysical problems. He has led projects such as the Hawaiian PLUME experiment, the Ocean Observatories Initiative (OOI), and HiSeasNet, which expanded ship-to-shore data transmission capabilities. Orcutt advocates for open data sharing and citizen science initiatives to enhance oceanographic research accessibility. His publications span tsunami monitoring, seismic network design, and cyberinfrastructure innovations. Notable contributions include developing autonomous ocean observatories and advancing methods for near-real-time environmental data access. Orcutt collaborates internationally on initiatives like the Integrated Arctic Ocean Observing System and tsunami early warning systems in the Caribbean and Japan.

• Geophysics
• Oceanography
• Remote Sensing
• +4 more

Qiang Zhu is a Professor in the Department of Structural Engineering at the University of California San Diego (UCSD), affiliated with the Jacobs School of Engineering and the Charles Lee Powell Structural Research Laboratories. His research focuses on interdisciplinary investigations combining offshore engineering with biomechanics, particularly in fluid-structure interaction problems in biological systems and biomimetic design of engineering structures. Education: Ph.D. in Applied Mechanics from MIT (2000), B.S. in Mechanical Engineering from University of Science and Technology of China (1993). Before joining UCSD, he held postdoctoral and research positions at MIT. Research interests include mechanics of skeleton-reinforced biomembranes (e.g., fish fins, cell membranes), flow energy harvesters using flapping foils, and fluid-structural modeling of floating wind turbines. His work bridges biological systems and engineered solutions, emphasizing biomimetic principles. Awards: NSF CAREER Award (2009). Publications span fluid-structure interaction, bioinspired propulsion systems, and renewable energy technologies. Recent work addresses extreme wave effects on floating turbines and novel energy harvesting mechanisms. His lab explores applications in marine energy systems, biomedical engineering, and autonomous underwater vehicles, leveraging advanced numerical modeling and experimental validation.

• Structural Engineering
• Biomechanics
• Offshore Engineering
• +5 more

Prof. Jing Zhou is a Professor in the Department of Engineering Sciences at the University of Agder, Norway, and serves as Research Director of the Top Research Centre in Mechatronics and Head of the Robotics and Automation Group. She holds a Ph.D. from Nanyang Technological University (2006) and has extensive industry experience, including roles at the International Research Institute of Stavanger (NORCE) and the Norwegian University of Science and Technology (NTNU). Her research focuses on control theory, robotics, offshore mechatronics, and learning-based systems. She leads major projects such as DEEPCOBOT (2020-2025) and INMOST (Indo-Norwegian collaboration), and has authored three influential books on adaptive control. Her academic roles include IEEE Industrial Electronics Society (IES) AdCom Member, Women-in-IES Chair, and editorial positions in top journals like IEEE Transactions on Automatic Control. She has organized major conferences like IEEE ICIEA 2024 and contributed to over 150 publications. Awards include membership in the Norwegian Academy of Technological Sciences and Agder Academy of Sciences. Prof. Zhou’s research spans adaptive control for nonlinear systems, robotics autonomy, offshore crane control, and drilling technology. Her work integrates AI and reinforcement learning to address challenges in industrial automation and environmental monitoring. She advises numerous PhD students and collaborates globally on projects like ImpactWind and INDURB, advancing sustainable energy and smart industrial systems.

• Control Theory
• Robotics and Automation
• Offshore Mechatronics
• +4 more

Mirko Kovac is Professor at Imperial College London's Faculty of Engineering and heads the Laboratory of Sustainability Robotics at Empa and EPFL. His research focuses on aerial robotics for distributed sensing and autonomous manufacturing in natural environments, with expertise in robot design and multi-modal mobility. His research interests include bio-inspired aerial systems, robot-assisted construction, environmental monitoring, and multi-modal locomotion. Key innovations include aerial additive manufacturing systems and amphibious robots for ecological assessment. Research publications demonstrate strong focus on robotics applications in construction, environmental monitoring, and advanced manufacturing. Recent work explores aerial-aquatic systems, soft robotics, and sustainable material deposition techniques. Awards include multiple best paper recognitions for contributions to robotics and aerial systems. Leads the Aerial Robotics Laboratory and collaborates internationally with institutions including Harvard, EPFL, and ETH Zurich. Current projects focus on biodegradable robotics and swarm manufacturing systems.

• Aerial Robotics
• Robot Design
• Distributed Sensing
• +3 more

John O. Dabiri is the Centennial Professor of Aeronautics and Mechanical Engineering at the California Institute of Technology (Caltech). He holds dual appointments in the Division of Engineering and Applied Science. His academic journey includes a B.S. from Princeton University (2001), and M.S. and Ph.D. from Caltech (2003, 2005). He has served as a faculty member at Caltech since 2005, advancing through ranks from Assistant to Centennial Professor. He also served as Dean of Undergraduate Students at Caltech (2014–2016) and held a professorship at Stanford University (2015–2019). His research focuses on fluid mechanics, bio-inspired engineering, and renewable energy. Key areas include biological fluid dynamics in oceans, next-generation wind energy systems, and experimental methods. Notable contributions include developing biohybrid robotic jellyfish for ocean exploration and improving wind farm efficiency through unsteady flow dynamics. Dr. Dabiri has received prestigious awards such as the National Medal of Science (2025), Alan T. Waterman Award (2020), and MacArthur Fellowship (2010). He leads major grants, including projects on biohybrid robotics and wind energy optimization. His work spans interdisciplinary collaborations, bridging engineering, biology, and environmental science. Advising over 30 students and postdocs, Dabiri’s lab has produced leaders in academia and industry. Ongoing projects include visual anemometry, vortex ring propulsion, and ethical biohybrid systems. He actively contributes to national policy through roles on the President’s Council of Advisors on Science and Technology and the Secretary of Energy Advisory Board.

• Fluid Mechanics
• Biological Fluid Dynamics
• Renewable Energy
• +4 more

Dr. Christopher Town is an Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge. He holds dual roles as Bye Fellow and Director of Studies in Computer Science at Jesus College and as a Fellow and Tutor at Wolfson College. His research focuses on bridging the semantic gap between human and machine interpretation of visual data through ontology-based frameworks, with applications in image retrieval, automated surveillance, and biological pattern analysis. Notable contributions include the development of tools like Manta Matcher for marine species identification and algorithms for egg pattern recognition in evolutionary biology. Dr. Town earned his PhD in Computer Science from the University of Cambridge, supported by an Industrial Fellowship from the Royal Commission for the Exhibition of 1851. His academic journey includes pre-doctoral research at AT&T Labs and undergraduate studies at Trinity College, Cambridge. He has supervised over 60 student projects, lecturing courses in Machine Visual Perception and Computer Vision. Awards include the BCS Distinguished Dissertation Award (2005) and recognition for best papers in computer vision and bioinformatics. His interdisciplinary work spans computer science, ecology, and medicine, with publications in journals like Nature Ecology & Evolution and IEEE transactions. He actively promotes academic mentorship through initiatives like the PhD Mentoring Scheme at Wolfson College. Current research explores reproducibility in GANs and the application of deep learning to ecological and medical imaging challenges.

• Computer Vision
• Ontology-Based Image Analysis
• Machine Learning
• +4 more

Dr. Stuart James is an Assistant Professor in Visual Computing at Durham University's Department of Computer Science, with a research focus on Visual Reasoning and Spatial Reasoning. His work bridges 2D/3D scene understanding with applications in Cultural Heritage, Digital Humanities, and Assistive Technologies. Key projects include EU-funded initiatives RePAIR (FET), DCitizens (Twinning), and BoSS (Lighthouse). Previous roles include Researcher/PostDoc positions at Istituto Italiano di Tecnologia (IIT) and University College London (UCL), where he earned his PhD in visual information retrieval for sketches from the University of Surrey. PhD in Visual Information Retrieval (University of Surrey, 2015) hBSc in Computer Science with Games Development (University of Hull, 2009) Research interests span Artificial Intelligence, Computer Vision, Human-Computer Interaction, and Robotics, with emphasis on Sketch-based Retrieval , Scene Graphs , Visual Question Answering , and Knowledge Retrieval & Reasoning . The VIViD research group at Durham drives innovations in neuro-symbolic reasoning for cultural analytics. Publications highlight trends in 3D scene understanding, cultural heritage digitization, and AI-driven storytelling frameworks. Scientific accolades include: CVPR 2025 Outstanding Reviewer ICIAP 2019 Best Student Paper IPAS 2018 Best Paper Current projects involve EU grants totaling €10.6 million across RePAIR, DCitizens, and BoSS. Collaborations include IIT (External Scientist), UCL (Honorary Associate), and ITI/LARSyS (International Collaborator). The lab recruits PhD students and organizes VISART workshops, while also advertising KTP Associate positions in Machine Learning for railway monitoring.

• Artificial Intelligence
• Computer Vision
• Human-Computer Interaction
• +15 more

Professor Aristides Kiprakis holds the Personal Chair of Agile Energy Systems at the University of Edinburgh's School of Engineering. He leads the Agile Energy Systems Research Group, focusing on renewable energy integration, smart grids, and robotics for energy applications. His administrative roles include Director of Internationalisation - Students and founding Programme Director of the MSc in Electrical Power Engineering. He has supervised over 19 PhD/EngD students and led major research projects, including the £2.5M EPSRC CAMREG and the £36M ORCA Hub. His work spans energy storage, demand-side management, and marine energy systems. He is a Visiting Professor at Shanghai Jiao-Tong University and contributes to journals like IET Smart Grid. Research interests include smart grids, renewable energy conversion (wind, solar, tidal/wave), energy storage, and electric/autonomous transportation. He has secured £ millions in grants, including EPSRC and EU projects. Teaching focuses on renewable energy systems, control engineering, and research methods. His group's work has yielded ~100 peer-reviewed publications and collaborates globally. He actively engages in STEM outreach, promoting renewable energy and robotics to schools. Current research explores virtual power plants, decarbonization pathways, and autonomous robotics for offshore energy. His projects address energy poverty through P2P trading and resilience in hybrid grids. He advises on policy, energy markets, and technology integration for sustainable systems.

• Smart Grids
• Renewable Energy Conversion
• Demand-Side Management
• +4 more