جستجوی استاد راهنمای دانشگاهی

Professor Mario Brito is a Professor of Risk Analysis and Risk Management at the University of Southampton, leading the Department as Head. His work bridges statistics, science, and engineering, with a focus on complex systems such as autonomous vehicles, maritime operations, and healthcare systems. He holds a PhD from the University of Bristol and has extensive industry experience, including roles at BAe Systems and the National Oceanography Centre (NOC). Research Interests: Dynamic Probabilistic Risk Assessment of Complex Systems Impact of Organizational Factors on Socio-technical Systems Risk Root Cause Analysis and Accident Investigations Bayesian Methods and Machine Learning in Risk Assessment Key Projects: EU Horizon2020 BRIDGES Project (€1.8M) KTP Marine Autonomous Systems Risk and Reliability (UK£161K) Autonomous Vehicle Risk Analysis in Arctic/Antarctic Environments Teaching: MANG6143 Project Risk Management MANG6549 Quantitative Methods for Risk Management Professional Roles: Editorial Board Member, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems General Chairman, 33rd European Safety and Reliability Conference (2023)

• Risk Analysis
• Artificial Intelligence
• Maritime Systems
• +۴ مورد دیگر

Devin J. Balkcom is a Professor in the Computer Science Department at Dartmouth College and currently serves as the department chair. He co-directs the Reality and Robotics Lab (RLab@dartmouth). His expertise lies in robotics, with a focus on efficient robot designs and motion planning. He holds a Ph.D. in Robotics from Carnegie Mellon University (2004). Research highlights include exact time-optimal motion for mobile robots, robotic origami, knot-tying, laundry folding, and assembly of interlocking structures. Key areas include geodesics for efficient motion planning and technologies for teaching human motion tasks. His work spans theoretical and applied robotics, with contributions to autonomous underwater construction, modular robotics, and interactive dance lesson systems powered by AI. Recent publications emphasize energy-efficient robotics, underwater modular construction, and human-robot interaction. Notable projects include StarBlocks for deformable lattice structures and LearnThatDance for TikTok-based dance learning support. His research has been published in top journals like the International Journal of Robotics Research and IEEE Robotics and Automation Letters. Balkcom advises students in robotics and mentors Ph.D. candidates such as Yinan Zhang, Weifu Wang, and Yu-Han Lyu. His work is supported by grants exploring optimal trajectories, autonomous systems, and human-robot collaboration. He co-leads the RLab, advancing robotics through interdisciplinary innovation.

• Robotics
• Motion Planning
• Robot Design
• +۳ مورد دیگر

Janos Sztipanovits is the E. Bronson Ingram Distinguished Professor of Engineering at Vanderbilt University's School of Engineering, holding dual professorships in Computer Science and Electrical and Computer Engineering. He leads the Institute for Software Integrated Systems and serves on its Executive Council. His research focuses on embedded software, model-integrated computing, and cyber-physical systems (CPS), emphasizing resilience and interdisciplinary design. Education: Ph.D. and Diploma in Electrical Engineering, Technical University of Budapest C.Sc. in Electrical Engineering, Hungarian Academy of Sciences Research Interests: Development of model-driven frameworks for CPS, including co-simulation and semantic integration Applications in autonomous vehicles, energy systems, and healthcare Integration of AI with engineering design (e.g., surrogate modeling, Bayesian optimization) Key Contributions: OpenUAV testbed for CPS/robotics research SURE platform for CPS security evaluation Advancement of Modelica web-based tools Advising & Grants: No student advisees listed in provided texts Active in NSF-funded CPS initiatives (e.g., CPS-VO, CPS Transportation) Labs & Teams: Institute for Software Integrated Systems (ISIS) Part of Vanderbilt’s CPS research community

• Embedded Software
• Cyber-Physical Systems
• Model-Integrated Computing
• +۴ مورد دیگر

Kevin Galloway is a Research Professor in the Department of Mechanical Engineering at Vanderbilt University, where he also serves as Director of DIVE (Design as an Immersive Vanderbilt Experience) and Director of Making. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from the University of Pennsylvania. His research focuses on innovative approaches in robotics, including soft robotic systems, wearable devices, and advanced manufacturing techniques. His work spans applications in rehabilitation engineering, biomedical devices, and cyber-physical systems. Education: Ph.D., Mechanical Engineering, University of Pennsylvania M.S., Mechanical Engineering, University of Pennsylvania B.S., Mechanical Engineering, University of Pennsylvania Research Interests: Dr. Galloway’s research emphasizes soft robotics, wearable technology, and their integration into medical and industrial applications. He explores topics such as fiber optic shape sensing, additive manufacturing for reactive materials, and soft robotic actuators for rehabilitation. His work bridges mechanical engineering with biomedical and cyber-physical systems to develop practical, user-centered solutions. Awards: Best Paper Award at IEEE ICORR 2015 for 'EMG Controlled Soft Robotic Glove for Assistance During Activities of Daily Living' Lab/Teams: He leads the NERD Laboratory and oversees the DIVE initiative, fostering interdisciplinary collaboration in design and robotics.

• Robotics
• Soft Robotics
• Wearable Devices
• +۳ مورد دیگر

Seunghyun Sim is an Assistant Professor at the University of California, Irvine (UCI), leading the Sim Lab. His research focuses on interdisciplinary materials science, biotechnology, and polymer chemistry, with an emphasis on creating biohybrid systems, programmable materials, and catalytic platforms using engineered bacterial spores and synthetic polymers. Key areas include supramolecular hydrogels, stress-tolerant biocatalysts, and dissipative living materials driven by chemical fuels. His work bridges synthetic biology, nanotechnology, and soft matter physics to design adaptive and responsive materials with applications in healthcare, environmental sustainability, and industrial biocatalysis. Dr. Sim’s lab develops innovative materials through dynamic covalent chemistry and protein engineering, such as coiled-coil protein interactions for macroscopic assembly and Janus GroEL systems for sequence-controlled polymerization. His research also explores underwater adhesives, 3D-printable cellular composites, and nanoantibiotics leveraging orthogonal binding motifs. These projects highlight a commitment to creating sustainable, recyclable, and autonomously renewable materials. His publications span topics from bacterial spore-programmed polymer degradation to elastic droplet networks, demonstrating a focus on both fundamental material science and practical applications. While no specific awards or grants are listed, his work reflects active engagement in high-impact, cross-disciplinary research.

• Materials Science
• Polymer Chemistry
• Biotechnology
• +۳ مورد دیگر

Renjie Wan is an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. He holds a BEng from the University of Electronic Science and Technology of China (2012) and a Ph.D. from Nanyang Technological University (2019). His research focuses on digital watermarking, neural representation, copyright protection, and AI security, with notable contributions in computational photography and image processing. He has received awards including the Microsoft CRSF Award and VCIP 2020 Best Paper Award. His academic journey includes a Wallenberg-NTU Presidential Postdoctoral Fellowship (2020–2022). He currently advises Ph.D. students in areas like neural radiance field watermarking and backdoor attack mitigation. Teaching responsibilities include courses on AI application development and Python for data analysis. Research Projects: Developing multispectral imaging algorithms for coastal surveillance Dynamic environment reflection separation techniques Face image reflection removal using neural radiance fields Awards: Meritorious Winner at Mathematical Contest in Modeling 2023 Silver Medal of 50th International Exhibition of Inventions Geneva His lab focuses on advancing AI security and 3D content protection through innovative techniques like neural radiance field watermarking and adversarial defense mechanisms.

• Digital Watermarking
• Neural Representation
• Copyright Protection
• +۵ مورد دیگر

Louis Whitcomb is a Professor of Mechanical Engineering at Johns Hopkins University (JHU), with a secondary appointment in Computer Science. He leads the Dynamical Systems and Control Laboratory (DSCL) and previously directed the JHU Laboratory for Computational Sensing and Robotics (LCSR). His work focuses on robotics for extreme environments, medical robotics, and underwater vehicles like the Nereus and Nereid Under-Ice (NUI). He holds 15 patents and has received numerous awards, including IEEE Fellow status and multiple teaching honors. Whitcomb’s research integrates control systems, actuator design, and sensor calibration, with applications in oceanography, surgery, and space exploration. Education: BS in Mechanical Engineering (Yale, 1984), MS/MPhil/PhD in Electrical Engineering (Yale, 1988-1992). Professional roles include past chair of the Mechanical Engineering Department and director of the MS in Robotics program. He collaborates with Woods Hole Oceanographic Institution (WHOI) and advises on federal research grants. Key projects include Arctic under-ice operations and MRI-guided robotic surgery systems. Research Interests: Underwater robotics, adaptive control systems, medical device actuation, and teleoperation interfaces. Notable achievements include the NUI’s Arctic missions and innovations in Doppler navigation systems. Whitcomb’s work bridges theoretical control models with real-world applications, emphasizing precision and reliability in challenging environments. Scientific Awards: Over 25 best-paper awards, NSF CAREER Award, ONR Young Investigator Award, and multiple teaching accolades at JHU. His contributions span robotics conferences and editorial roles for leading journals. Grants and Advising: Whitcomb has secured major grants from NSF, ONR, and NOAA. His lab trains students in robotics, control systems, and ocean engineering. Current research explores cooperative navigation, high-latency teleoperation, and medical robotics. Labs/Teams: Director of DSCL and deputy director of LCSR. Collaborates with WHOI on underwater vehicle development and NASA on space teleoperation systems. His teams design robots for oceanographic, surgical, and industrial applications.

• Control Systems
• Underwater Robotics
• Industrial Robotics
• +۳ مورد دیگر

Azzedine Boukerche is a Full Professor and holds a Canada Research Chair in Large-Scale Distributed Simulation Systems and Vehicular Networking (Tier 1) at the University of Ottawa. He is the Founding Director of the PARADISE Research Laboratory. Previously, he held faculty positions at the University of North Texas, McGill University, and Polytechnic of Montreal, and worked as a Senior Scientist at Metron Corporation. His research focuses on wireless communication, mobile ad hoc networks, sensor networks, distributed systems, and large-scale simulation. He has authored multiple books and numerous publications in top-tier conferences and journals. Research Interests: His work spans Wireless Communication , Mobile Ad Hoc Networks , Sensor Networks , Parallel and Distributed Simulation , and Security in IoT/Underwater Systems . His contributions address challenges in network protocols, privacy, and efficient resource management in dynamic environments. Awards: Ontario Distinguished Researcher Award, Canada Research Chair, G. S. Glinski Award, Best Paper Awards (PADS'97, Telecommunication Software 1999). Leadership: Co-founder of QShine Conference, served as General Chair/Program Chair for IEEE/ACM events, and editorial roles in journals like Wireless Networks and Journal of Parallel and Distributed Computing . Labs & Teams: He leads the PARADISE Lab, focusing on innovations in vehicular networks, underwater systems, and distributed simulation. His team collaborates on projects involving autonomous vehicles, smart cities, and secure communication protocols.

• Wireless Communication
• Mobile Ad Hoc Networks
• Sensor Networks
• +۵ مورد دیگر

Dr David Cheneler is a Senior Lecturer in Engineering at Lancaster University, serving as Director of Undergraduate Teaching and CTP Champion. He leads the Sensor Engineering and Technology Cluster, focusing on advancing sensing technologies for industry collaboration. As Extreme Environments Theme Lead at the Lancaster Intelligent, Robotic and Autonomous Systems (LIRA) Centre, he drives research in robotics for hazardous environments. His academic roles include past leadership in internationalization, admissions, and MSc programs, alongside roles in global partnerships with institutions like BJTU and COMSATS. Cheneler holds a PhD and MEng in Mechanical Engineering from the University of Birmingham, with prior experience as a Research Fellow in advanced materials and FP7 Programme projects. His research spans robotics, nuclear detection, biomedical technologies, and material science, with a focus on applications like radiation sensing, environmental monitoring, and additive manufacturing. Key grants include leadership in the £14m Eco-I North West Doctoral Training Programme (2021–2023), which links businesses with academic research. He has secured grants totaling over £1M for projects such as ASUNDER (underwater decommissioning robotics) and Low Cost Radiation Hardened Electronics. His work emphasizes collaboration with industry partners like Dounreay Site Restoration and LiNa Energy. Cheneler has supervised numerous PhD and MSc students, focusing on topics like nuclear waste characterization, biofilm prevention, and underwater laser cutting. His awards include the Best Paper Award and fellowships from the Higher Education Academy and Institute of Materials, Minerals and Mining. He is actively involved in research groups like LIRA’s Extreme Environments and Advanced Manufacturing teams, contributing to cutting-edge projects such as biodegradable medical devices and compact neutron detectors. His leadership in eco-innovation and robotics positions him as a pivotal figure in Lancaster’s engineering community.

• Robotics
• Advanced Manufacturing
• Biomedical Technologies
• +۴ مورد دیگر

Dr. Stephen Monk is a Senior Lecturer in Engineering at Lancaster University, specializing in nuclear and robotic engineering applications. A chartered engineer (IET), he develops robotic systems for hazardous environment operations including novel neutron spectrometers, radiation mapping technologies, and decommissioning robots. His research portfolio includes autonomous pipe-cutting systems, radiation characterization robots, and underwater sample retrieval systems developed with international partners like Japan's National Maritime Research Institute. Current projects focus on soft robotics for nuclear cell exploration and silicon carbide radiation sensors. Monk teaches undergraduate modules in C programming, nuclear decommissioning, and practical engineering projects. He has supervised seven PhD students to completion in radiation detection and robotic decommissioning domains.

• Nuclear Engineering
• Robotics
• Neutron Spectrometry
• +۲ مورد دیگر

Dimos V. Dimarogonas is a Professor of Automatic Control at the Division of Decision and Control Systems , School of Electrical Engineering and Computer Science , KTH Royal Institute of Technology . His research focuses on multi-agent control systems, hybrid systems, and formal verification with applications to robotics and autonomous systems. Alumnus of National Technical University of Athens (NTUA) Postdoctoral experience at KTH and MIT Research areas include: Multi-agent coordination under temporal logic specifications Hybrid control and planning for autonomous robots Formal verification of safety-critical systems Networked control with limited communication Robust distributed control protocols Applications to precision agriculture, underwater vehicles, and space robotics Recent publications emphasize stochastic control , funnel-based safety , and transient control for leader-follower networks. Scientific accolades include ERC Consolidator Grant (2019) , Wallenberg Academy Fellow (2015) , and ERC Starting Grant (2014) . Supervises numerous PhD students and postdocs, with former advisees now holding academic positions at institutions like Caltech, MIT, and Oxford.

• Multi-Agent Control Systems
• Robot Navigation
• Task Planning
• +۱۱ مورد دیگر

Andrea Cavallaro is a Full Professor and Director of the Centre for Intelligent Sensing at Queen Mary University of London (QMUL), a Russell Group university. He also serves as Editor-in-Chief of Signal Processing: Image Communication and a Fellow of the International Association for Pattern Recognition (IAPR) and the Higher Education Academy. His roles include Director of Research for the School of Electronic Engineering and Computer Science. Education: Received a Ph.D. in Electrical Engineering from the École polytechnique fédérale de Lausanne (EPFL) in 2002. Prior roles include Research Fellow at British Telecommunications (BT) and multiple editorial roles across IEEE journals. Research Interests: Focus on machine learning for multimodal perception, computer vision, audio processing, robot perception, and privacy in multimedia systems. He leads projects like CORSMAL (Collaborative Object Recognition, Shared Manipulation, and Learning) and GraphNEx (Graph Neural Networks for Explainable AI). Notable Contributions: Over 270 journal/conference papers, one monograph on video tracking (Wiley, 2011), and three edited books. Awards include the Royal Academy of Engineering Teaching Prize (2007), IEEE AVSS Best Paper Award (2009), and Turing Fellowship (2018). Labs & Affiliations: Leads the Centre for Intelligent Sensing and contributes to the Centre for Multimodal AI. Active in IEEE technical committees and international research collaborations.

• Machine Learning
• Computer Vision
• Audio Processing
• +۴ مورد دیگر

Asgeir Johan Sørensen is a Professor of Marine Control Systems at NTNU's Department of Marine Technology, Faculty of Engineering. He also serves as an adjunct professor at UiT the Arctic University of Norway. His roles include Director of NTNU VISTA CAROS and former Director of NTNU AMOS (2013-2023). Sørensen holds an MSc (1988) and PhD (1993) in Marine Technology and Engineering Cybernetics from NTNU. He has extensive industry experience, co-founding companies like Marine Cybernetics AS, Eelume AS, and Zeabuz AS. His research focuses on marine robotics, autonomous systems, and hybrid power systems. He leads labs such as the Marine Cybernetics Laboratory (MC-Lab) and Applied Underwater Robotics Laboratory (AUR-Lab), emphasizing innovation and entrepreneurship. Over 280 publications and 153 students (41 PhDs) reflect his scholarly impact. Current projects include Oppdrag Mjøsa, aiming to map freshwater ecosystems via autonomous systems. Education: MSc (Marine Technology, NTNU, 1988), PhD (Engineering Cybernetics, NTNU, 1993) Research: Autonomous marine operations, underwater robotics, marine cybernetics, and zero-emission propulsion systems Labs: MC-Lab, AUR-Lab, NTNU AMOS His work bridges fundamental research with practical applications, driving advancements in marine autonomy and sustainability.

• Marine Cybernetics
• Autonomous Systems
• Underwater Robotics
• +۵ مورد دیگر

Martin Føre is an Associate Professor at the Department of Engineering Cybernetics, NTNU. His work focuses on aquaculture robotics, sensor technologies for underwater applications, and mathematical modeling for fisheries and aquaculture industries. He holds a Master's (2006) and PhD (2011) from NTNU's Department of Engineering Cybernetics. His research emphasizes autonomous systems, precision farming, and digital twin technologies in marine environments. Education: M.Sc. & PhD in Engineering Cybernetics from NTNU (2006, 2011) His research interests include underwater robotics, bio-inspired motion planning, and real-time monitoring systems for fish farms. Key contributions include adaptive path planning algorithms for UUVs, sensor networks for fish welfare assessment, and digital twin integration in aquaculture. He has published extensively on topics like net pen dynamics, obstacle avoidance, and autonomous farm management. Publications highlight advancements in robotics for aquaculture, such as 3D motion planning for autonomous vehicles and real-time structural monitoring of net cages. His work bridges engineering, biology, and data science to enhance sustainable aquaculture practices. Major contributions include the development of acoustic telemetry systems for fish behavior analysis and IoT-based solutions for farm optimization. Collaborative projects with industry and academia focus on improving fish welfare, operational efficiency, and environmental sustainability in marine farming.

• Aquaculture Robotics
• Underwater Sensor Technologies
• Marine Engineering Systems
• +۳ مورد دیگر

Damiano Varagnolo is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, robotics, energy systems, and data-driven methodologies. He has collaborated extensively on projects involving underwater vehicles, renewable energy optimization, and biomedical engineering applications. Key contributions include advancements in formation control algorithms for autonomous underwater vehicles (AUVs), adaptive control strategies for underactuated systems, and data synthesis techniques for tabular datasets. Varagnolo has published widely in top-tier journals such as IEEE Transactions on Control Systems Technology and IEEE Transactions on Power Systems. His work often integrates machine learning with classical control theory to address challenges in robotics, energy systems, and human-machine interaction. Notable projects include experimental validation of consensus protocols in networked systems and the development of energy expenditure estimation models for wheelchair users. He actively engages in educational initiatives, such as the 'Santa has Everything under Control' Advent calendar, aimed at demystifying control theory concepts for broader audiences. His interdisciplinary approach bridges mechanical engineering, computer science, and applied mathematics, with applications ranging from offshore wind energy optimization to autonomous navigation systems.

• Control Systems
• Robotics
• Energy Systems
• +۵ مورد دیگر