Find Academic Supervisors

• Bioinformatics
• Health Informatics
• Affective Computing
• +4 more

Dr. Stamos Katsigiannis is an Associate Professor in the Department of Computer Science at Durham University. His research focuses on bioinformatics, health informatics, affective computing, machine learning, and GPU computing applications. He holds a PhD in Computer Science from the National and Kapodistrian University of Athens (Greece), with prior roles including Postdoctoral Research Fellow and Lecturer at the University of the West of Scotland (2016-2020). Education: BSc (Hons) Informatics and Telecommunications, National and Kapodistrian University of Athens (Greece) MSc Computer Science, Athens University of Economics and Business (Greece) PhD Computer Science, National and Kapodistrian University of Athens (Greece) Research Interests: Bioinformatics, health informatics, affective computing (e.g., emotion recognition using EEG/ECG signals), machine learning applications in medical imaging and video quality, GPU-accelerated algorithms for biomedical data analysis, and biometric identification systems. His work bridges computational methods with healthcare, education technologies, and human-computer interaction. Advising & Students: Supervising postgraduate students in AI-driven healthcare, computer vision, and affective computing. Recent collaborations include projects on AI-generated content detection (De-Factify 4.0), chest X-ray image analysis (CLN network), and trajectory prediction using graph neural networks. Labs/Teams: Active in Durham's AI research groups, contributing to interdisciplinary projects in medical imaging, cybersecurity, and educational technology. Collaborates internationally in EU-funded initiatives and UK parliamentary AI governance consultations (AGENCY project).

• Remote Sensing
• Civil Engineering
• Geotechnical Engineering
• +6 more

Anthony Carpenter is a Postdoctoral Research Associate (PDRA) at Imperial College London's Department of Civil and Environmental Engineering, part of the Faculty of Engineering. He is affiliated with the Geotechnics section and the StARRS project, focusing on radar remote sensing for nuclear facility monitoring. His work includes developing machine learning techniques for ground-based InSAR systems in collaboration with EDF Energy. Prior roles include a Research Assistant position at Royal Holloway University of London (2023) supporting lunar and Venus exploration projects with ISRO and UKSA. Anthony holds a PhD in Civil and Environmental Engineering from Imperial College London (2019-2024), an MRes in Nuclear Energy, and a BSc in Geography from Royal Holloway University. His research spans geotechnical engineering, InSAR applications, drone radar systems, and wildfire mapping. He contributed to monitoring Hinkley Point C nuclear plant construction and developed methods for spatial data validation during an internship with the British Red Cross GIS team. His research interests combine geotechnical engineering with advanced remote sensing technologies, emphasizing nuclear infrastructure safety, structural health monitoring, and international space collaboration. Anthony has supervised 5 MSc projects in Civil Engineering and Soil Mechanics, demonstrating expertise in both academic research and practical fieldwork. His work integrates radar technology with environmental and civil engineering challenges. Anthony is certified in drone operation (General Visual Line of Sight) and completed teaching training through Imperial's Graduate Teaching Assistant Programme. His affiliations include the ICO CDT in Nuclear Energy, StARRS, and the UK Space Agency collaborations. Current projects focus on radar systems for decommissioning nuclear facilities and international space missions.

• Tectonics
• Geophysics
• Seismic Analysis
• +3 more

Dr. Rebecca Bell is a Lecturer in Geology and Geophysics at Imperial College London, part of the Faculty of Engineering. She holds a PhD in Marine Geophysics from the University of Southampton and a Master's in Earth Science from the University of Oxford. Her research focuses on tectonic evolution, utilizing seismic and drilling data to study subduction zone fault mechanics and rift development. Key affiliations include the Basins Research Group, the Grantham Institute, and the Imperial Centre for Geohazards. Her work addresses critical questions such as controls on subduction zone fault behavior and the dynamics of continental rifting. Recent projects include deploying seismometers in New Zealand to study slow slip events and leveraging machine learning for earthquake hazard assessment. She has held prestigious roles like the Imperial College Research Fellowship (2012–2017) and editorial positions in journals like Basin Research . Teaching accolades include winning the Best Feedback Award in 2013 and being shortlisted in 2016. Her research has been widely featured in media outlets like Nature World News and Aljazeera America . Her publications span seismic imaging, CO2 migration, and fault mechanics, reflecting her interdisciplinary approach. Ongoing initiatives include fully funded PhD and postdoctoral positions investigating subduction zone seismic behavior, emphasizing fault zone properties and their societal implications.

Dan M. FrangopolView profile

Professor

• Life-cycle civil engineering
• Structural reliability
• Infrastructure sustainability
• +5 more

Prof. Dan M. Frangopol is the Fazlur R. Khan Endowed Chair of Structural Engineering and Architecture at Lehigh University's P.C. Rossin College of Engineering and Applied Science. He is a global leader in life-cycle civil engineering, focusing on probabilistic methods, infrastructure resilience, and sustainability. His research spans structural reliability, risk-based decision-making, and multi-hazard mitigation under climate change. Affiliations: Lehigh University (current), University of Colorado Boulder (23 years), and institutions in Romania and Belgium. Education: Dipl.-Ing. from Bucharest (1969), Doctor of Applied Sciences (summa cum laude) from University of Liège (1976), and multiple honorary doctorates. His research interests include life-cycle cost optimization, probabilistic mechanics, and infrastructure systems management. He pioneered the International Association for Bridge Maintenance and Safety (IABMAS) and the International Association for Life Cycle Civil Engineering (IALCCE). Key contributions include frameworks for resilient infrastructure under climate change and extreme events. Frangopol has authored/co-authored over 500 journal articles, 5 books, and 70 book chapters. He has supervised 50 PhD and 56 M.Sc. students, many of whom are now leading academics and practitioners. His awards include the inaugural Dan M. Frangopol Medal (2023), ASCE Noble Prize (2015, 2024), and multiple honorary memberships in national and international academies. He has advised numerous high-profile projects funded by NSF, FHWA, NASA, and others. His labs and initiatives include the Fazlur R. Khan Distinguished Lecture Series and the journal Structure and Infrastructure Engineering .

Torsten FaberView profile

Professor

• Wind Energy Technology
• Structural Engineering
• Renewable Energy Systems
• +3 more

Prof. Dr.-Ing. Torsten Faber is a Professor at the Department of Energy and Life Science at Flensburg University of Applied Sciences. He leads the Wind Energy Technology Institute (WETI) and oversees the Wind Energy Engineering program. His roles include academic advisory services and institute management. Faber previously led the Rotor Blades and Construction Technology department at Germanischer Lloyd (2003–2010) before joining academia. He was elected Chair of the University Senate in 2022, emphasizing institutional continuity and internationalization. Research Focus : Structural design of wind turbines (tower foundations, rotor blades), material efficiency, certification standards, and energy transition policy. Projects include the NEW 4.0 initiative for North German energy policy and CROSSWIND for cross-border small-wind solutions. Teaching areas include construction technology, global wind industry analysis, and project-based learning in wind energy challenges. Key Contributions : Developed guidelines for fair wind park planning in Schleswig-Holstein, pioneered algorithm-based turbine design optimization, and advanced Structural Health Monitoring for turbine lifespan assessment. Active in international collaborations and digital master’s programs.

• Machine Learning
• Cybersecurity
• Biometric Authentication
• +3 more

Dr Wencheng Yang is a Senior Lecturer in Computing at the School of Mathematics, Physics and Computing , University of Southern Queensland. He holds a PhD in Computing from UNSW, an MSc from Korea, and a BMgmt from Wuhan University of Technology. His research spans multiple domains including machine learning security , biometric authentication , privacy-preserving systems , and IoT applications . Education : BMgmt (Wuhan University of Technology), MSc (Korea), PhD (UNSW) Yang’s work emphasizes privacy and security in AI systems, particularly in biometric authentication (e.g., fingerprint, face, ECG) and IoT security. His recent publications focus on model inversion attacks , homomorphic encryption , and federated learning for healthcare applications. Key trends include secure face-swapping , Alzheimer’s disease prediction , and anti-forensic detection . His research has been cited 3378 times, with 1458 total downloads and 31 monthly views. While no explicit scientific awards are listed, his interdisciplinary work bridges computer science , healthcare , and cryptography . Current projects include privacy-preserving frameworks for implantable medical devices and military health systems .

Scott BurrisView profile

Professor

• Public Health Law
• International Public Health Law
• Legal Epidemiology
• +7 more

Scott Burris is a Professor of Law at Temple Law School and Professor in Temple's School of Public Health, where he directs the Center for Public Health Law Research. He has been a faculty member at Temple since 1991 and is internationally recognized for his pioneering work in public health law, particularly in legal epidemiology, policy surveillance, and the intersection of law with HIV/AIDS policy and substance abuse. Professor Burris received his J.D. from Yale Law School and his B.A. from Washington University in St. Louis. His career began during the early days of the HIV/AIDS epidemic, where he served as an attorney at the American Civil Liberties Union, lobbying and litigating on behalf of people with HIV. He edited the first systematic legal analysis of HIV in the United States, "AIDS and the Law: A Guide for the Public" (Yale University Press, 1987). Burris's research focuses on how law influences public health and health behavior, with particular emphasis on developing theory and methods for effective local health governance. His work spans international public health law, legal epidemiology, policy surveillance, substance abuse policy, and housing law. He has made significant contributions to understanding the impact of law on HIV prevention, opioid overdose prevention, and pandemic response. His recent work increasingly examines methodological rigor in legal epidemiology, the application of artificial intelligence to legal analysis, and the relationship between housing law and health equity. His extensive publication record includes over 200 books, book chapters, articles, and reports. Recent publications demonstrate his continued leadership in advancing the science of legal epidemiology, with particular attention to methodology, policy surveillance systems, and innovative applications of technology to legal analysis. American Public Health Association Law Section Lifetime Achievement Award (2014) Jay Healey Health Law Professors award (2018) Professor Burris has served as a consultant to numerous international organizations including the United Nations Development Programme, the World Health Organization, and the United Nations Office on Drugs and Crime. He founded the Public Health Law Research Program for the Robert Wood Johnson Foundation in 2009, which has supported over 80 empirical studies of the impact of law on health. His research has been funded by major organizations including the Robert Wood Johnson Foundation, the Open Society Institute, the National Institutes of Health, the Bill and Melinda Gates Foundation, and the Centers for Disease Control and Prevention. He is the founder of Legal Science, LLC, a private company dedicated to improving access to legal information and supporting policy surveillance practice. He also serves as an advisor to several international institutions including the Tsinghua University AIDS Institute, the Shanghai Academy of Social Sciences Research Center for HIV/AIDS Public Policy, and the Program in Bioethics at Monash University. His work bridges academic research, practical application, and policy development in the field of public health law.

Riccardo FelicettiView profile

Research Fellow

• Fault Detection and Diagnosis
• Fault Tolerant Control
• Optimization
• +3 more

Riccardo Felicetti is a Research Fellow at the Department of Information Engineering, Università Politecnica delle Marche, within the Faculty of Engineering. He holds a Master's Degree (cum laude) in Computer and Automation Engineering (2016) and a Ph.D. (cum laude) in Information Engineering (2021) from the same university, with a thesis on “Active fault tolerant control for overactuated unmanned vehicles.” He also serves as Senior Tutor, coordinating tutor activities in the Faculty of Engineering. His research focuses on fault detection and diagnosis, fault-tolerant control, and optimization, with applications to unmanned vehicles (e.g., drones, ROVs) and energy management systems. He has contributed to advancements in systems like actuator fault tolerance, vibration-based fault detection, and energy optimization in smart grids. Key technical areas include disturbance observer-based control, adaptive Kalman filtering, and machine learning integration for system identification. His work bridges theoretical control frameworks with practical implementations in aerospace and marine robotics.

Yuejian ChenView profile

Assistant Professor

• Dynamic Modelling
• Vibration Signal Processing
• Artificial Intelligence
• +5 more

Dr. Yuejian Chen is an Assistant Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on dynamic modelling, vibration signal processing, artificial intelligence, and prognosis/health management for complex systems like railway vehicles, wind turbines, and steam turbines. He holds a PhD from the University of Alberta (2020) and was a postdoctoral fellow there until 2021. Prior to joining the University of Manitoba in 2024, he served as an Assistant Professor at Tongji University's Institute of Rail Transit in China from 2021 to 2024. His research integrates digital twins and advanced health management methodologies to ensure safe and cost-effective operation of mechanical systems. Key areas include non-stationary vibration analysis, fault detection via AI (e.g., LSTM networks), and physics-informed machine learning. He has authored/co-authored over 60 publications and serves on editorial boards for journals such as IEEE Sensors Journal , IEEE Transactions on Instrumentation and Measurement , and Smart and Resilient Transportation . Dr. Chen's work bridges theoretical advancements with practical applications, emphasizing railway transportation and energy systems. His recent publications (2021–2025) highlight contributions to gearbox fault detection under variable speed conditions, multi-camera metro monitoring systems, and data-driven load identification strategies. His research trends emphasize fusion of physical principles with AI for robust diagnostics and health management across mechanical systems. He is actively recruiting graduate students interested in dynamic systems, signal processing, and AI applications in mechanical engineering. His research group collaborates with industry partners to address real-world challenges in machinery safety and efficiency.

• Production Engineering
• Industrial Engineering
• Materials Science
• +5 more

Dragan Adamović is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac. His work focuses on manufacturing processes, materials science, tribology, and biomaterials. He has extensive experience in numerical modeling of metal forming processes like ironing and deep drawing, with a strong emphasis on optimizing mechanical properties through thermal treatments and surface treatments such as shot peening. His research integrates computational methods (e.g., FEA) with experimental validation, addressing challenges in automotive engineering, biomedical applications, and industrial safety. Notable contributions include studies on friction coefficient determination in forming processes, wear behavior of alloyed steels, and the development of biodegradable metallic implants. He also investigates occupational safety in industries like concrete production and bakery environments. Adamović has authored over 50 peer-reviewed articles since 2003, covering topics from welding technologies to additive manufacturing applications. His work bridges theoretical material science with practical industrial solutions, emphasizing sustainability and process efficiency in modern production systems.

Stavroulakis GeorgiosView profile

Professor

• Smart Structures
• Structural Engineering
• Vibration Control
• +7 more

Stavroulakis Georgios is a Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on smart structures, vibration control, finite element methods, and advanced materials. He leads interdisciplinary projects in structural mechanics, acoustics, and computational mechanics with applications in engineering systems and heritage preservation. Key areas include: (1) Development of robust control systems for smart structures, (2) Numerical modeling of masonry and composite materials, (3) Applications of artificial intelligence in structural analysis and material science. Office: Δ5.109, DPEM Building. Research activities emphasize: Active vibration suppression using piezoelectric systems and auxetic materials Advanced finite element analysis for biomedical and historical structures Data-driven computational methods for material characterization Acoustic comfort optimization in urban environments Structural health monitoring through physics-informed neural networks His work bridges traditional engineering disciplines with modern AI tools, addressing challenges in infrastructure resilience and sustainable design. Publications span smart materials innovation, nonlinear mechanics, and heritage building restoration.

Hubert BrücklView profile

Professor

• Thin Films
• Magnetism
• Sensors
• +3 more

Hubert Brückl is a Professor and Head of the Department for Integrated Sensor Systems at the University for Continuing Education Krems. He holds a PhD and habilitation in Physics from the University of Regensburg and has held key roles at institutions like the Technical University of Darmstadt, IFW Dresden, and the AIT Austrian Institute of Technology. His research focuses on thin films, magnetism, sensors, and micro/nanotechnology, with significant contributions to machine learning applications in materials science. Brückl's scientific career includes leadership in over 15 funded research projects, such as the development of AI-based corrosion monitoring systems and advanced magnetic sensors. He has authored numerous publications in high-impact journals, including Nature Scientific Reports , Physical Review Applied , and IEEE Transactions on Magnetics . His work spans interdisciplinary areas, combining physics, engineering, and data science to create innovative sensor technologies. Current projects emphasize AI-driven predictive modeling of materials properties and high-precision magnetic sensor fabrication. Brückl's lab integrates cutting-edge facilities for nanotechnology and sensor development, collaborating with industry partners like Siemens and aerospace firms. His research addresses challenges in sustainable materials, biomedical diagnostics, and industrial monitoring systems.

Richard P. MartinView profile

Associate Professor

• Wireless Networks
• Sensor Networks
• Network Security
• +5 more

Richard P. Martin is an Associate Professor and Associate Chair in the Department of Computer Science at Rutgers University's School of Arts and Sciences. His research focuses on wireless networks, sensor systems, and network security applications, with particular emphasis on practical implementations that address real-world challenges in healthcare monitoring, energy efficiency, and network performance. He maintains an active research group working closely with WINLAB (Wireless Information Network Laboratory) and has numerous ongoing collaborations with industry and academic partners. Dr. Martin's research interests span several interconnected domains including wireless communication systems, sensor network design, network security, localization technologies, and energy-efficient computing. His work bridges theoretical computer science with practical engineering applications, often focusing on how wireless technologies can solve problems in healthcare monitoring, particularly medication adherence systems. His research group develops innovative solutions that combine hardware and software approaches to address challenges in wireless sensing, network security, and system optimization. The team's work often involves creating novel protocols and architectures that improve performance while maintaining security and privacy constraints. His recent publication trends show increasing focus on healthcare applications of wireless technology, particularly medication adherence monitoring systems using smart pill bottles and other unobtrusive sensing approaches. He has also maintained a strong research thread in wireless network security, localization systems, and energy-efficient computing. His work often combines machine learning techniques with traditional networking approaches to create more intelligent and adaptive systems. The interdisciplinary nature of his research spans computer science, electrical engineering, and healthcare technology domains. Dr. Martin has advised numerous graduate students who have co-authored publications with him, including Murtadha Aldeer, Mohammadreza Soltaniyeh, and Jorge Ortiz. His research has been supported by various funding sources that enable the development of practical wireless systems and sensor networks. He teaches courses in computer systems and structures, sharing his expertise in networked systems with undergraduate and graduate students. His laboratory work centers around WINLAB, where his team develops and tests wireless and sensor network technologies. The lab focuses on creating practical implementations of theoretical concepts, often building custom hardware and software solutions to address specific challenges in wireless communications and sensing. Current projects emphasize healthcare applications, energy efficiency, and security in wireless systems.

Pedro HenriquesView profile

Professor

• Programming Languages
• Compiler Design
• Software Analysis
• +2 more

Pedro Henriques is Professor of Computer Science at University of Minho, where he coordinates the Language Processing group at Algoritmi Research Center. With a PhD in Formal Languages and Attribute Grammars, he teaches compiler design and programming language engineering. His research develops: Formal methods for software analysis Educational tools for programming pedagogy Ontology-driven computational thinking frameworks AI applications in agriculture and healthcare Recent work includes neuroeducation-informed frameworks (OntoCnE) and Programming Cocktails methodology for optimizing cognitive load in code instruction. He has supervised 14 PhD dissertations and authored the foundational text "XML & XSL: da teoria a prática". Current EU projects explore VR cognitive rehabilitation and olive cultivar identification using deep learning.

• Agricultural Engineering
• Precision Agriculture
• Remote Sensing
• +7 more

Troy Jensen is an Associate Professor at the School of Agriculture and Environmental Science , University of Southern Queensland. He is affiliated with the Centre for Agricultural Engineering and held a Fulbright Scholar position funded by the Kinghorn Foundation in 2023, alongside a Visiting Professorship at the University of Florida during the same year. Education: He holds a BEng (1983), MEng (1991), and PhD (2009) from the University of Southern Queensland. Research Interests: His expertise spans agricultural machinery, precision agriculture, remote sensing, controlled traffic farming, UAVs, and technology innovation . Specific focuses include sugarcane yield monitoring, soil tillage mechanics, and energy-efficient farming practices. He has pioneered work in UAV-based crop monitoring, discrete element modeling for soil analysis, and sustainable machinery design. Grants & Projects: Notable projects include: Australian Government’s Site-Specific Tools for Herbicide Management (2023) Cotton Seed Distributors’ Cotton Picker Extensions (2023) New Columbo Mobility Plan for Thailand-Australia engineering collaboration (2022) Supervision: He currently supervises doctoral students on topics like sugarcane replanting automation and pest monitoring technologies. Completed projects include studies on nutrient management in Nicaraguan sugarcane and soil compaction from cotton harvesting. Labs/Teams: His work is embedded within interdisciplinary teams at the Centre for Agricultural Engineering, focusing on mechanization, precision agriculture, and sustainable farming systems.