Find Academic Supervisors

• Artificial Intelligence
• Cybersecurity
• Internet of Things
• +4 more

Dr. Mabrouka Abuhmida is a Senior Lecturer in Computing and Mathematical Sciences at the University of South Wales. She holds dual leadership roles as Research and Innovation Group Leader and Course Leader for MSc/BSc AI programs. Her research focuses on Artificial Intelligence applications in Digital Healthcare Transformation, Cybersecurity, and Internet of Things (IoT), particularly in medical and infrastructure contexts. She leads initiatives spanning Computer Science, Data Science, and AI, emphasizing collaborations between academia and industry. Her research interests include Deep Learning, Natural Language Processing (NLP), and empowering women in STEM. Notable projects include developing Annie the chatbot, an empathy-focused NLP tool, and frameworks for IoMT security. She has pioneered work on AI-based intrusion detection in Industrial Control Systems (ICS) and cybersecurity dynamics in critical infrastructure. Publications highlight her cross-disciplinary work across AI ethics, structural health monitoring, and forensic data automation. Recognized for advancing women's participation in STEM, she actively bridges academic research with real-world tech adoption through student-business partnerships. Responsibilities include spearheading: IoT and Machine Learning initiatives Deep Learning in healthcare cybersecurity Natural Language Processing for case management Her lab focuses on AI-driven solutions for digital transformation challenges in healthcare and infrastructure sectors.

• Metallurgy
• Materials Engineering
• Materials Science
• +7 more

Paola LEO is an Associate Professor (II Fascia) in Metallurgy at the Department of Innovation Engineering, University of Salento. She holds a PhD in Materials Engineering and has over 20 years of academic and research experience. Her work focuses on light alloys, severe plastic deformation, friction stir welding, laser welding, and additive manufacturing. She directs the Metallurgy Lab and has supervised over 100 students and research fellows. Education: Materials Engineering degree from University of Salento (1999/2000), PhD in Materials Engineering (2005) Affiliations: Member of Italian Association of Metallurgy (COMET Committee) Research Interests: Hot deformation of alloys, microstructural evolution, welding technologies, additive manufacturing Her research highlights include studies on magnesium alloys' hot deformation, FSW of dissimilar joints, and laser welding of titanium-aluminum composites. Over 100 publications span journals like Materials Science and Engineering and conferences such as TMS Annual Meeting. Grants & Labs: Involved in projects on metallurgical process innovation. Leads the Metallurgy Lab and contributes to strategic research committees at the university.

Juhyeong LeeView profile

Assistant Professor

• Composite Materials
• Lightning Strike Damage
• Multifunctional Composites
• +2 more

Juhyeong Lee is an Assistant Professor in Mechanical and Aerospace Engineering at Utah State University. His research focuses on composite materials behavior under extreme conditions, particularly lightning strike damage, multifunctional composites, and advanced manufacturing techniques. Research integrates experimental testing with multiphysics modeling to understand damage mechanisms in aerospace composites. Current projects include lightning protection systems, thermal barrier coatings, additive manufacturing of composites, and machine learning for damage assessment. Recent publications demonstrate advances in lightning damage prediction using stochastic frameworks, thermal-electrical-mechanical characterization of composites, and novel protection strategies. Industry collaborations include NASA, Hanwha Advanced Materials, and aerospace manufacturers. Research team includes graduate students working on composite testing, finite element analysis, and additive manufacturing. Recognized through NASA faculty fellowship and SAMPE awards for contributions to aerospace materials research.

Evangelos BoukasView profile

Associate Professor

• Deep Learning
• Unmanned Aerial Vehicles
• Computer Vision
• +5 more

Evangelos Boukas is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), Faculty of Engineering. His research focuses on autonomous robotic systems for marine vessel inspection, confined space navigation, and man overboard detection using UAVs and deep learning techniques. His core research interests include Deep Learning , Unmanned Aerial Vehicles , Computer Vision , and Robotics , applied to solve challenges in marine robotics and autonomous inspection. He develops uncertainty-aware navigation systems, probabilistic segmentation methods, and reinforcement learning frameworks for real-world deployment in complex environments. Recent publications demonstrate a strong trend toward GPU-accelerated deep learning for confined space inspection, with emphasis on uncertainty estimation, domain adaptation, and real-time processing. Key application areas include marine vessel classification, ballast tank inspection, and search-and-rescue operations, often leveraging multimodal sensor fusion. Dr. Boukas actively supervises five PhD students across major research projects: Probabilistic Deep Learning for Autonomous Aerial Inspection (2025-2028) Aerial Robots Design for Confined Spaces Inspection (2024-2027) Active Semantic Segmentation for Confined Spaces using Aerial Robots (2024-2027) Autonomous Aerial Robotics for Man Overboard Incidents (2023-2026) Visual and Multimodal Perception for Construction Robotics (2023-2026) He leads the "Perception and Cognition for Autonomous Systems" research group at DTU, which develops advanced perception algorithms for robots operating in challenging environments like ship ballast tanks and marine vessels, contributing to UN Sustainable Development Goals for industry innovation and marine conservation.

• Materials Science
• Metallurgy
• Alloy Design
• +6 more

Dr. Felicity Worsnop is a Researcher at the Max Planck Institute for Sustainable Materials, affiliated with the Department of Microstructure Physics and Alloy Design. Her work focuses on understanding microstructural behaviors in advanced alloys, particularly titanium and copper alloys, with emphasis on hydrogen embrittlement, fatigue mechanisms, and precipitation phenomena. She employs cutting-edge characterization techniques like APT, TEM, and SAXS to analyze nanoscale precipitates and microstructural defects. Her research interests span materials science and metallurgy, addressing challenges such as slip intermittency in titanium alloys, composition-dependent plasticity in Co-based alloys, and oxygen-induced degradation in α-Ti. She has contributed to improving the integrity of titanium alloys through failure analysis and environmental fatigue studies. Recent investigations include the role of dissolved nitrogen in Ti-6Al-4V fatigue behavior and the crystallographic ordering of Al/Sn in α-Ti. Her interdisciplinary approach integrates computational modeling and experimental validation to advance alloy design principles.

Norbert MeyendorfView profile

Professor

• Nondestructive Testing (NDE)
• Materials Science and Engineering
• Materials Characterization
• +5 more

Norbert Meyendorf is a Part-Time Professor in the Department of Chemical and Materials Engineering at the University of Dayton. He serves as Director of the Center for Materials Diagnostics and Co-Director of the UD-Fraunhofer Joint Research Center. His expertise spans nondestructive materials characterization, nanotechnology, and advanced materials testing. Meyendorf holds a Sc.D. in Materials Engineering from University Magdeburg and a Ph.D. in Physics from Martin-Luther University, Halle-Wittenberg. Education: Sc.D. (Dr. sc. techn.), Materials Engineering, University Magdeburg (1986) Ph.D. (Dr. rer. nat.), Physics, Martin-Luther University (1980) M.Sc. (Dipl. Phys.), Physics, Martin-Luther University (1976) Research focuses on high-resolution microscopic techniques for nanomaterials, materials degradation analysis, and advanced NDE methods. He has authored ~180 publications and holds German patents for nondestructive materials characterization. Meyendorf chairs SPIE conferences and advises the Center for Micro- and Nano-Materials in Berlin. His honors include the 2001 SPIE Best Paper Award. Meyendorf collaborates internationally, bridging academic and industrial applications in aerospace, energy, and manufacturing sectors.

Murat PalaView profile

Professor

• Structural Engineering
• Civil Engineering
• Materials Science
• +4 more

Murat Pala is a Professor of Civil Engineering at Adiyaman University's Faculty of Engineering. He holds a Doctorate from Sakarya University (2004) and has served as Dean of the Engineering Faculty at Adiyaman University (2014–2016, 2019–present). His research focuses on structural engineering, materials science, and applications of artificial neural networks in civil engineering. Key areas include soil-structure interaction, cold-formed steel analysis, and renewable energy systems. Education: Ph.D., Natural Sciences, Sakarya University (1997–2004) M.Sc., Natural Sciences, Sakarya University (2001–2006) B.Sc., Civil Engineering, Sakarya University (1997–2001) Research interests span structural dynamics, material behavior under load, and computational modeling. Notable contributions include formulations for distortional buckling stress in steel structures and neural network-based prediction models for concrete properties. He has authored over 20 peer-reviewed articles, with recent work on earthquake damage assessment and solar pond insulation effects. Administrative roles include Dean of Engineering (Adiyaman University) and editorships at journals like Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi . His professional experience includes academic leadership at Kilis 7 Aralık University and Gaziantep University.

Il Min KimView profile

Professor

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +7 more

Il Min Kim is a Professor and Chair of Undergraduate Studies in the Department of Electrical and Computer Engineering at Queen's University, Canada. He is affiliated with the Smith Engineering School and holds cross-appointments as Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. His research focuses on AI-driven wireless systems, including edge AI, federated learning, and Geoscience AI. He leads the Ubiquitous Artificial Intelligence Lab (UAI Lab) and is a core member of the Ingenuity Labs Research Institute and Queen's Centre for Security & Privacy. Education: PhD in Electrical Engineering from KAIST (2001), followed by postdoctoral work at MIT and Harvard. He joined Queen's in 2003, progressing from Assistant to Full Professor (2014). Awards include the CVPR 2024 Challenge Prize, KOFST President’s Award (2021), and multiple ECE Best Professor Awards. He has over 150 patents in AI/communications and serves on editorial boards of IEEE journals. Research interests span AI for 6G, V2X communications, and secure machine learning. His work emphasizes practical applications in IoT, energy efficiency, and privacy-preserving techniques.

• Microvascular Surgery
• Breast Reconstruction
• Cerebral Revascularization
• +5 more

Dr. Joseph N Carey is an Associate Professor of Clinical Surgery and Director of the Plastics Residency Program at the Keck School of Medicine of USC. He specializes in microvascular surgery, focusing on breast reconstruction, complex reconstructive surgery, thoracic/abdominal reconstruction, and cerebral revascularization. His practice is based at Keck Medical Center, where he manages complex injuries and directs resident education in plastic and general surgery. Dr. Carey’s research emphasizes surgical education, breast reconstruction techniques, extremity salvage, and cerebral revascularization strategies. He holds a medical degree from USC, a Master’s in anatomy from USC, and completed a microvascular surgery fellowship at Stanford University. His surgical expertise spans trauma reconstruction, flap techniques, and interdisciplinary collaboration with neurosurgery, cardiothoracic, and orthopedic teams. His recent publications (2023–2025) explore topics like frailty indices in abdominal wall reconstruction, vasopressor use in flap survival, and comparative imaging techniques in lower extremity trauma. He advocates for innovative surgical training methods and has contributed to guidelines for high-risk breast reconstruction. As a program director, he prioritizes resident training through hands-on simulations and clinical mentorship. His clinical work integrates cutting-edge microsurgical techniques with patient-centered outcomes, emphasizing functional recovery and quality of life.

• Digital Education
• Health Informatics
• VR/AR/XR/MR in Education
• +6 more

Dr Nic Fair is a Senior Lecturer in the Digital Health and Biomedical Engineering group at the University of Southampton's School of Electronics and Computer Science. He holds a PhD in Digital Education and Web Science, with expertise spanning Personal Learning Networks, Virtual Reality/XR in education, ontology development, and networked learning. His research integrates health informatics, digital manufacturing, and educational technology, supported by EU Horizon 2020 and UK National Institute of Health Research grants. Current projects include MELD-B (multimorbidity research), BRIDGES (digital pedagogy), and Zero-defect Manufacturing. He supervises three PhD students in VR/MR and data visualization. External roles include membership of the University Senate and the British Educational Research Association. His teaching spans 18 years across Further and Higher Education, including leading innovation modules at Southampton. Notable collaborations include UNESCO Bahrain, the Web Science Institute's SleepeR project, and a UK Cabinet Office Open Innovation secondment.

Jean-Pierre FRADINView profile

Researcher

• Thermal Management
• Power Electronics
• Electronics Cooling
• +4 more

Jean-Pierre FRADIN is a Researcher Lecturer at ICAM, based in Toulouse, France. His work focuses on thermal management of electronic systems, particularly in power electronics and additive manufacturing applications. He collaborates with prestigious research laboratories globally to develop innovative cooling solutions for industries like rail transport and electric vehicles. His research explores topics such as thermal-adjoint optimization, 3D power module defect detection, and SiC MOSFET thermal behavior. He emphasizes applied research with strong industry ties, addressing challenges in energy efficiency, material science, and thermal simulation techniques. His contributions span both academic publications and practical applications in cooling system design. Notably, he investigates lattice structure heat sinks for liquid cooling, Monte Carlo methods for junction temperature estimation, and the impact of additive manufacturing on thermal performance. His work bridges computational modeling with experimental validation, ensuring practical relevance to industrial needs. While no awards are explicitly mentioned, his extensive publications reflect a prolific and impactful career in thermal management. His research also extends to collaborative projects with companies, enhancing engineering education and innovation at ICAM.

• Supply Chain Management
• Blockchain Applications
• Sustainability Engineering
• +3 more

Georgios Papadopoulos is an Associate Professor at the Department of Materials Science and Engineering, School of Chemical Engineering, National Technical University of Athens (NTUA). His work bridges engineering, technology, and interdisciplinary applications, with a focus on supply chain optimization, blockchain technologies, and sustainable systems. He holds office C.301 and can be reached at gkpap@chemeng.ntua.gr . Research interests span advanced logistics systems, AI integration in manufacturing, and healthcare engineering solutions. Recent explorations include blockchain-driven supply chain traceability for food and wine industries, predictive maintenance in reverse logistics, and decarbonization strategies in maritime fuels. His work also addresses societal challenges like food waste mitigation and pediatric cardiomyopathy diagnostics. Publications reflect a multi-disciplinary approach: 2024 studies include AI applications in supply chains and digital health interventions, while 2023 papers focus on blockchain systems and carbon emissions verification. Earlier works (2022-2003) cover cybersecurity in maritime systems, gear mechanics, and surgical prosthetics. He collaborates with industry partners on Lean Six Sigma methodologies and public sector process optimization. His academic contributions span 40+ peer-reviewed articles across chemical engineering, logistics, and medical fields. Active in professional communities, he advises on EU-funded projects and participates in institutional committees at NTUA. Ongoing research emphasizes smart manufacturing ecosystems and climate resilience frameworks for supply chains.

Navid ZobeiryView profile

Associate Professor

• Composite Materials
• Advanced Manufacturing
• Scientific Machine Learning
• +3 more

Dr. Navid Zobeiry is an Associate Professor in Materials Science & Engineering at the University of Washington, with an adjunct role in Aeronautics & Astronautics. His research integrates materials science, data science, and advanced manufacturing to address aerospace challenges, focusing on smart testing, manufacturing, and engineering methods using machine learning and physics-based models. He holds patents in AI software for aerospace applications and has been recognized with awards such as the Boeing Certificate of Appreciation (2024) and the SAMPE URS 3rd Best Paper Award (2022). Education: PhD from University of British Columbia (UBC), MSc from UBC, BSc from University of Tehran. Prior to UW, he was a Research Associate and Lecturer at UBC. Research interests span composite materials, failure analysis, scientific machine learning, and uncertainty quantification in aerospace. His work emphasizes probabilistic ML frameworks for material characterization and process optimization. Recent articles focus on composite manufacturing optimization, process-induced deformations, and ML-driven thermal modeling. His publications highlight advancements in pyrolysis characterization, tool-part interaction analysis, and outlier detection in manufacturing processes. Awards include Boeing’s D-DRASS recognition (2024, 2019), a teaching award (2020), and UBC’s President’s Award (2009). He advises graduate students like C. Schoenholz and collaborates with aerospace companies on patented technologies. Labs/Teams: Composites Group at UW, leading projects on AI in manufacturing and material certification. Active in industry partnerships for applied research.

Emily McCannView profile

Research Fellow

• Motor Neuron Disease (MND)
• Genetic Epidemiology
• Bioinformatics
• +4 more

Dr Emily McCann is an Early Career Postdoctoral Research Fellow in the Genetics and Genomics Team at Macquarie University's Centre for Motor Neuron Disease (MND) Research. She holds a PhD from Macquarie University and has expertise in bioinformatics and wet lab validation techniques. Her research focuses on identifying genetic mutations and risk variants in MND/ALS through whole genome sequencing and collaborative efforts, with direct implications for diagnostic advancements. Education: Bachelor of Medical Science (2012) Masters of Research (2014) PhD in Genetics (2019) Research Interests: Dr McCann's work centers on unraveling the genetic basis of MND/ALS. This includes: Identifying causal mutations in novel genes via family analysis Studying phenotype-modifying variants in disease-discordant twins Assessing risk variants in large patient cohorts using bioinformatics Her methods rely heavily on whole exome and genome sequencing analysis. Key Contributions: Recent work includes global ALS testing panel analysis, short tandem repeat expansions in neurodegenerative diseases, and the genetic epidemiology of MND in New Zealand. These studies highlight her focus on translational genetics. Awards: MND Research Institute of Australia top-up scholarship (PhD support) Advising/Grants: Associate supervisor for Sandrine Chan Moi Fat (PhD candidate). Co-investigator on projects like the MNDRA Innovator grant (2023–2024) and the 2016–2018 ALS genetic research grant. Labs/Teams: Part of the multidisciplinary Genetics and Genomics Team within Macquarie's MND Research Centre, collaborating internationally on gene discovery and therapy targets.

Jan Bernard MarsmanView profile

Researcher

• Functional Magnetic Resonance Imaging
• Schizophrenia
• Major Depressive Disorder
• +7 more

Jan Bernard Marsman is a researcher affiliated with the University of Groningen’s Faculty of Medical Sciences and the UMCG, specifically within the Perceptual and Cognitive Neuroscience (PCN) department and the Clinical Cognitive Neuropsychiatry Research Program (CCNP). His research focuses on neuroimaging techniques, psychiatric disorders, and visual neuroscience. He has contributed to over 77 peer-reviewed publications, with recent work emphasizing schizophrenia, depression, glaucoma, and cognitive impairment. Key research interests include functional MRI applications in emotion regulation, structural brain network analysis in Alzheimer’s precursors, and innovative eye-tracking methods for glaucoma diagnostics. He collaborates globally through initiatives like the ENIGMA consortium to study schizotypy and neuroanatomical correlates of mental health conditions. His articles highlight advancements in using continuous visual tracking for visual field defect detection, gray matter alterations in mild cognitive impairment, and neural mechanisms underlying auditory hallucinations in schizophrenia. Marsman’s work bridges clinical diagnostics with neurobiological insights, contributing to both basic science and translational medicine. Supervised 5 academic works, contributed to 3 datasets (e.g., glaucoma eye-tracking studies), and actively engages in multidisciplinary teams addressing neurodegenerative and psychiatric challenges.