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Amelia DennisView profile

Researcher

• Social Psychology
• Nostalgia
• Well-being
• +3 more

Amelia Dennis is a Researcher in Social Psychology at the University of Bath's Department of Psychology, affiliated with the Institute for Digital Security and Behaviour (IDSB). She holds a PhD in Social Psychology from the University of Surrey (2021), an MSc in Research Methods in Psychology (2018), and a BSc in Psychology from Birmingham City University (2016). Her work contributes to UN Sustainable Development Goals related to health and well-being. Amelia’s research focuses on group behavior, nostalgia, and well-being. She has explored topics such as interventions for pandemic mental health, vaccine hesitancy in care home staff, and social support during crises. Her recent projects include a government-funded study on 'Reactions to Intragroup Threat - Phase 2' (2023-2025), examining group dynamics in threatening contexts. Her publications highlight interventions targeting well-being during the pandemic, including nostalgia-based strategies and messaging effects on health expectations. She has also conducted qualitative research on vaccine hesitancy and CBRNe (chemical, biological, radiological, nuclear, and explosive terrorism) response protocols. Amelia’s work is frequently published in journals like Journal of Happiness Studies and Health Psychology , with notable citations and media coverage. Amelia collaborates internationally and leads projects addressing both psychological interventions and public health strategies. Her research bridges social psychology with practical applications in healthcare and emergency management.

Francesco MontomoliView profile

Professor

• Machine Learning
• Uncertainty Quantification
• Computational Fluid Dynamics (CFD)
• +8 more

Prof. Francesco Montomoli is an Honorary Professor at Imperial College London's Department of Aeronautics, within the Faculty of Engineering. Previously, he held roles as a Professor (2014–2025), Reader (2018–2021), Senior Lecturer (2012–2018), and Research Professor (2011–2014). He earned a MSc and PhD from the University of Florence, with a visiting scholar stint at Texas A&M University's Turbine Heat Transfer Laboratory. His research focuses on Machine Learning, Uncertainty Quantification (UQ), Additive Manufacturing, and Computational Fluid Dynamics (CFD) applied to aerospace propulsion and energy systems. He co-founded two Imperial spinouts, including Toffeex ltd, and leads the UQLab, which develops robust design methodologies for AM and advanced UQ techniques. Notable awards include the RAEng Enterprise Fellowship and Amelia Earhart Fellowship. His work spans gas turbines, heat transfer optimization, and rare event modeling (e.g., deflagration effects). Collaborations include Rolls-Royce, Airbus, and General Electric. Recent articles highlight advancements in physics-informed neural networks, multi-fidelity UQ, and fluid-structure interaction under extreme conditions. He advises multiple PhD students and maintains academic ties with institutions like the University of Padova and Politecnico di Torino.

• Biomechanics
• Musculoskeletal Engineering
• Sports Biomechanics
• +5 more

Professor Anthony Bull is a Professor of Musculoskeletal Mechanics at Imperial College London's Department of Bioengineering, Faculty of Engineering. He leads the Centre for Blast Injury Studies and the Musculoskeletal Medical Engineering Centre, focusing on joint mechanics, sports biomechanics (rowing/spinal mechanics, cricket/upper arm biomechanics), and blast injury mitigation. His research integrates clinical applications with engineering innovations, such as prosthetic design and osteoarthritis treatment. Key affiliations include the World Council of Biomechanics and Royal Academy of Engineering. He directs the £1M Sports Innovation Challenge for disabled athletes and chairs major military health studies like ADVANCE, analyzing trauma outcomes in UK military personnel. His work spans biomechanical modeling, implant design, and global prosthetics development for resource-limited settings. Notable achievements include a 2013 Royal Academy of Engineering Fellowship. Research emphasizes interdisciplinary approaches to musculoskeletal health, combining experimental and computational methods.

Joel KuszmaulView profile

Associate Professor

• Geomechanics
• Probabilistic Methods
• Dam and Levee Stability
• +3 more

Joel Kuszmaul is an Associate Professor of Civil Engineering and Director of Program Assessment & Accreditation at Merrimack College. His research focuses on probabilistic methods in geomechanics, particularly related to levee and dam stability, with long-term collaborations with the U.S. Army Corps of Engineers. He holds a Ph.D. in Civil Engineering from the University of California, Berkeley, an M.S. in Geoengineering from the University of Minnesota, and a B.S. in Geological Engineering from Michigan Technological University. Dr. Kuszmaul's research interests include geotechnical risk assessment, remote sensing applications for environmental monitoring, and hydrogeological studies. His work often integrates advanced computational methods, such as evolutionary algorithms and GIS-based modeling, to address challenges in infrastructure safety and environmental sustainability. His publications span topics like levee erosion prediction, fracture analysis in rock masses, and coastal land loss quantification using remote sensing. He has contributed to projects involving dam vulnerability assessments, septic system performance evaluation, and flood modeling in Mesoamerica. Despite no specific awards listed, his extensive collaborations and technical expertise highlight his contributions to civil engineering and geomechanics. Dr. Kuszmaul’s advising and grants are not explicitly detailed in the provided text, but his academic roles suggest active engagement in teaching, accreditation processes, and applied research initiatives. His work aligns with Merrimack College’s emphasis on innovation and real-world problem solving.

Kori RyanView profile

Associate Professor

• Forensic Psychology
• Criminal Behavior Intervention
• Clinical and Forensic Ethics
• +3 more

Kori Ryan is an Associate Professor in the Department of Behavioral Sciences at Fitchburg State University, affiliated with the School of Arts and Sciences. She teaches courses including Introduction to Human Services, Crisis Intervention, and Professional Issues in Human Services. Ryan specializes in forensic assessment, forensic mental health, criminal behavior intervention, and clinical/forensic ethics. She coordinates a spring break study abroad program in Croatia focusing on trauma and social service approaches, involving fieldwork with NGOs addressing mental health in post-war contexts. Education: Psy.D., Alliant International University (Clinical Forensic Psychology) M.A., Alliant International University (Clinical Forensic Psychology) M.S., California State University Fresno (Criminology) B.S., Northeastern University (Psychology) Her research emphasizes forensic psychological ethics, juvenile justice systems, and trauma responses in military populations. Presentations and publications span topics like juvenile fire-setting interventions, correctional officer screening, and gender considerations in psychopathy diagnosis. She is affiliated with the International Association of Forensic Mental Health Services (IAFMHS) and the Academy of Criminal Justice Sciences (ACJS). Advising and grants: Ryan oversees internships in human services and collaborates on field-based educational programs in Croatia. Her work bridges academic research with practical clinical applications in forensic settings. Labs/Teams: Engaged with NGOs in Croatia focusing on mental health support for vulnerable populations, including war veterans and trauma survivors.

• Industrial Engineering
• Operations Research
• Manufacturing Systems
• +5 more

Sanchoy Das is a Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). His research focuses on manufacturing systems, supply chain engineering, warehouse optimization, and design for manufacturability. He has led federal grants including projects on flexible manufacturing methodologies and product design quality. His work integrates industrial engineering principles with emerging technologies like machine learning for metabolic rate prediction in firefighting scenarios. Key research areas include e-commerce fulfillment strategies, warehouse layout optimization, and explosive storage policies. He has published extensively on topics such as order picking heuristics, robotic task repeatability, and healthcare resource allocation. Das has collaborated on projects funded by the National Science Foundation, addressing challenges in traditional factory processes and product disassembly. Media engagements highlight his expertise in retail logistics, port strike impacts, and supply chain analytics. His academic contributions span over 66 peer-reviewed articles, with a focus on operational efficiency in manufacturing and service systems. Das teaches advanced courses including Design for Manufacturability and Supply Chain Engineering at NJIT.

Natthakan Iam-OnView profile

Lecturer

• Machine Learning
• Data Clustering
• Computer Vision
• +4 more

Natthakan Iam-On is a Lecturer in the Department of Computer Science at Aberystwyth University. She specializes in machine learning, data clustering, and their applications in cybersecurity, astronomical data analysis, and healthcare informatics. Her research focuses on developing advanced algorithms for fraud detection, transient event detection in astronomy, and improving data imputation techniques. Her work spans interdisciplinary collaborations, including projects on privacy-preserving data fusion for social media analysis and cultural heritage documentation using convolutional neural networks. She also explores cybersecurity through fuzzy logic-based attack tree analysis and has contributed to enhancing AI-driven solutions for food safety in UK-Vietnam collaborations. Recent publications highlight her focus on applying machine learning to solve complex problems such as imbalance data classification, transient event detection in sky surveys, and optimizing clustering algorithms for gene expression analysis. Her research trends emphasize interdisciplinary applications, including medical decision support systems and improving fraud detection in banking sectors. She has been a Co-Investigator in a British Council-funded project (2025–2026) to strengthen UK-Vietnam food safety research through AI and data science. Her collaborative networks include Trenten Roberts and Teerapong Boongoen, extending to international partnerships in computational intelligence and data-driven solutions.

James MartinView profile

Professor

• Geophysics
• Geotechnical Engineering
• Sensor Technology
• +5 more

Professor James Martin is a faculty member in the Department of Mechanical and Construction Engineering at Northumbria University. His expertise lies in geophysical and geotechnical methods, with a focus on developing innovative exploration, monitoring, and characterization techniques. He specializes in sensor technology, signal processing, and robust measurement systems for harsh environmental conditions. His research integrates advanced instrumentation like IoT platforms, surface acoustic wave sensors, and ground-penetrating radar to address challenges in infrastructure monitoring, cold environment engineering, and material durability. Key research areas include permafrost degradation analysis, pavement structural health assessment, and landslide detection systems. His work often bridges academic and industrial applications, leveraging his experience in oil and gas project management to solve complex engineering problems. Recent projects involve low-cost IoT data capturing systems, anti-icing technologies using propagating surface acoustic waves, and CLT panel moisture monitoring for sustainable construction. His publications span journals such as Permafrost and Periglacial Processes , IEEE Transactions on Instrumentation and Measurement , and Langmuir , reflecting contributions to geophysics, materials science, and civil engineering. His research emphasizes real-time environmental monitoring, subsurface characterization, and holistic infrastructure solutions. James Martin has collaborated on interdisciplinary projects involving cold climate engineering, structural health monitoring, and geotechnical hazard mitigation. His work highlights the application of advanced sensors and data analytics to address global challenges in environmental sustainability and infrastructure resilience.

Michael MccloskeyView profile

Associate Professor

• Aggression Studies
• Psychopathology
• Suicidal Behavior
• +3 more

Michael Mccloskey is an Associate Professor at the Fox School of Business and Management, Temple University, within the Department of Risk, Actuarial Science, and Legal Studies. His research focuses on aggression studies, psychopathology, and mental health treatment, with a particular emphasis on understanding the interplay between aggression, self-injury, and substance use. He teaches undergraduate courses including 'Introduction to Risk Management' (RMI 2101) and 'Diamond Peer Teachers - Internship II' (SBM 3586). His work spans clinical, neuropsychological, and behavioral perspectives, leveraging methodologies like latent class analysis, neuroimaging, and text mining. Key areas of exploration include aggression as a mental health disorder, mechanisms underlying non-suicidal self-injury (NSSI), and the role of reward sensitivity in impulsive behaviors. Recent studies investigate the effects of social context on brain function, treatment outcomes for intermittent explosive disorder (IED), and the relationship between aggression and suicidal behaviors in veterans. Publications demonstrate interdisciplinary approaches, such as combining meta-analyses with clinical trials to evaluate interventions. While no scientific awards are explicitly mentioned, his contributions to aggression research and mental health diagnostics are evident through a prolific publication record (2014–2025). Advising and grant details are not provided, but his teaching and research roles reflect a commitment to academic rigor and applied mental health solutions.

• Modern Methods of Construction
• Modular Construction
• Structural Steel Engineering
• +9 more

Associate Professor Daniel McCrum is a faculty member at the School of Civil Engineering, University College Dublin (UCD). He holds a PhD from Trinity College Dublin and has held academic positions at Queen's University Belfast and UCD. His research focuses on modern methods of construction, structural steel, resilience of infrastructure, and cyber-physical threats. He leads the Modern Methods of Construction Research Group (MMCRG) and is involved in projects like Construct Innovate and the Horizon 2020-funded PRECINCT initiative. Education: BEng (1st class) from Trinity College Dublin (2005), MSc in Structural Engineering (2006, University of Glasgow), PhD in Civil Engineering (Trinity College Dublin, 2008). Research interests include modular construction, cold-formed steel design, bridge aerodynamics, and critical infrastructure resilience. He has supervised over 15 postgraduate researchers and led numerous funded projects including EU-funded research on construction standards and predictive modeling tools. Awards include the 2022 Teaching Excellence Award and the 2016 Fulbright Scholarship. Professional roles include Programme Director for Civil Engineering programs at UCD, Head of Teaching and Learning (2019–2020), and member of Construct Innovate's Centre Executive Management Committee. He is a Chartered Structural Engineer with the Institution of Structural Engineers and an active peer reviewer for journals like Engineering Structures and Structure and Infrastructure Engineering. Key contributions include advancing CFS structural analysis, developing robustness frameworks for cyber-physical infrastructure, and aerodynamic studies on long-span bridges like the Queensferry Crossing. His work integrates computational methods with experimental testing to address challenges in construction safety and disaster resilience.

Georgios AnagnostopoulosView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Optimization
• +4 more

Georgios C. Anagnostopoulos is a tenured Associate Professor at Florida Institute of Technology's College of Engineering and Science, Department of Electrical Engineering and Computer Science. He leads the Machine Learning Research Group and co-directs the Center for Advanced Data Analytics & Systems (CADAS). Ph.D. in Electrical Engineering (University of Central Florida, 2001) M.S. in Electrical Engineering (University of Central Florida, 1997) Eng. Dipl. in Electrical Engineering (University of Patras, Greece, 1994) His research spans foundational AI/ML with applications in social network dynamics, environmental monitoring, and cybersecurity. Key contributions include: Information diffusion modeling via self-exciting processes Deep learning for nuclear explosion detection and flood hazard assessment Transformer-based edge computing for environmental sound classification Multi-task learning with Rademacher complexity analysis Multi-domain cyber-physical systems analysis Recent publications focus on optimization algorithms for social network analysis, flood prediction in ungauged basins, and acoustic gunshot detection systems. He has secured over $3 million in federal funding, including grants from DARPA and the Defense Threat Reduction Agency. Scientific awards held by his mentees include: Barry Goldwater Scholarship (Joey Velez-Ginorio) NSF Graduate Research Fellowship (multiple recipients) Frost Scholarship (Oxford University) UCF Distinguished Undergraduate Researcher Award He has advised over 8 graduate students, including Ph.D. researchers in machine learning and software engineering now employed at Google, Twitter, Expedia Group, and pursuing doctoral studies at University of Pennsylvania. His group maintains active collaborations with Air Force Research Laboratory and University of Central Florida.

Christian LudwigView profile

Adjunct Professor

• Solid Waste Treatment
• Chemical Processes
• Materials Science
• +5 more

Christian Ludwig is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (ENAC) and the Department of Environmental Engineering. He also leads the joint EPFL-PSI Professorship in Solid Waste Treatment, heading the Ludwig Group (GR-LUD) at EPFL and the Chemical Processes and Materials (CPM) group at the Paul Scherrer Institute (PSI). His research focuses on sustainable resource management, including waste treatment technologies, nanoparticle synthesis, and recycling of critical materials like rare earth elements. Ludwig holds a PhD in Chemistry from the University of Berne and has extensive experience in academia and industry, with roles spanning from postdoctoral research to senior leadership at PSI since 2000. Education: PhD in Chemistry, University of Berne (1993) Master's in Chemistry, University of Berne (1990) Postdoctoral Fellowships at UC Davis and EAWAG Research Interests: Solid waste treatment, bioenergy technology, nanoparticle characterization, trace element fate analysis, and resource recovery from waste. His work emphasizes developing innovative materials and processes for cleaner energy and sustainable resource cycles. Publications: Over 150 peer-reviewed articles, with recent contributions in Environmental Science & Technology , ACS Nano , and Proceedings of the National Academy of Sciences . Research trends include supercritical water gasification, aerosol analysis, and rare earth metal recycling. Grants & Awards: Multiple projects funded by Swiss National Science Foundation and EU Horizon programs, focusing on circular economy and environmental technologies. Recognized as a 'World's Best Scientist' in 2025. Labs & Teams: Leads the Ludwig Group (GR-LUD) at EPFL, collaborating with PSI's CPM group to advance chemical processes and material sciences. Active in interdisciplinary projects merging environmental engineering with nanotechnology.

Oisik DasView profile

Associate Professor

• Sustainable Materials
• Fire Safety Engineering
• Biochar Applications
• +2 more

Oisik Das is Associate Professor at Luleå University of Technology's Department of Civil, Environmental and Natural Resources Engineering. His research develops sustainable materials with enhanced fire safety properties. Key focus areas include biochar-enhanced composites, flame-retardant polymers, wood modification techniques, and hydrogen safety engineering. He pioneered biochar integration in composites during his PhD and investigates fire behavior across material systems. He received the Royal Skyttean Society Prize for Young Researchers (2022) and leads multiple projects funded by FORMAS and ÅForsk. As international coordinator, he manages university partnerships and student recruitment. Teaches Fire Dynamics and Biochar fundamentals courses.

• Electrical Power Systems
• Smart Grid Technology
• Photovoltaic Systems
• +5 more

Dr. Krasimir Marinov Ivanov is a Doctor of Technical Sciences and Head of the Department of Fundamentals of Electricity and Power Engineering at the Faculty of Electrical Engineering and Electronics, Technical University - Gabrovo. With extensive experience in electrical power systems, he has made significant contributions to research in Smart Grid technology, photovoltaic systems, electrical safety, and power quality analysis. His research interests span multiple critical areas of modern electrical engineering. He has conducted extensive work on Smart Grid applications in electricity transmission and distribution networks, exploring modern technologies, intelligent sensors, and control systems. His research portfolio includes comprehensive studies on electromagnetic compatibility, distributed generation integration, and photovoltaic system optimization. In the field of electrical safety, he has investigated occupational hazards, electrocution risks, and lightning protection systems, particularly for renewable energy installations. Dr. Ivanov has also made significant contributions to understanding power quality issues related to harmonics, reactive power management, and the impact of modern electronic loads on electrical networks. Dr. Ivanov's publication record demonstrates a strong focus on practical applications of electrical engineering principles. His recent work shows increasing attention to renewable energy integration, electrical safety in modern power systems, and advanced simulation techniques for power quality analysis. He has particularly emphasized the challenges of integrating distributed generation sources into existing grid infrastructure and developing effective safety protocols for emerging technologies. His research methodology often combines theoretical analysis with practical field measurements and advanced simulation techniques, including finite element analysis. Throughout his career, Dr. Ivanov has successfully supervised five PhD students to completion and has been involved in numerous research projects, including six major completed projects between 2012-2016. His project work has addressed critical issues in Smart Grid implementation, electromagnetic compatibility, distributed generation integration, and electrical network optimization. He has also developed significant educational materials, authoring or co-authoring nine textbooks covering various aspects of electrical engineering, including electrical networks and systems, power plant electrical components, and occupational safety in educational institutions.

Gizem ElidoluView profile

Researcher

• Maritime Transportation
• Risk Analysis
• Tanker Ship Operations
• +5 more

Gizem Elidolu serves as a Researcher at Istanbul Technical University within the Department of Maritime Transportation and Management Engineering. Her academic profile centers on maritime safety engineering with specialized expertise in risk assessment methodologies for tanker ship operations and cargo handling systems. Dr. Elidolu's research interests focus on applying advanced computational techniques to maritime safety challenges. She has developed innovative approaches integrating Bayesian network modeling with rule-based systems and evidential reasoning theory to analyze human reliability and prevent accidents during critical shipboard operations. Her work addresses vital industry concerns including cargo leakage prevention, hazardous material handling, anchoring safety, and nitrogen system operations on tanker vessels. Analysis of her publication record reveals a consistent research trajectory applying sophisticated risk modeling techniques to practical maritime safety problems. Her work demonstrates increasing methodological sophistication, evolving from traditional Failure Mode and Effects Analysis to integrated approaches combining Dempster-Shafer theory with Bayesian networks. This progression reflects her contribution to advancing risk assessment methodologies in the maritime domain. Dr. Elidolu maintains active research collaborations with international scholars, as evidenced by her co-authorship with researchers from multiple countries. Her publications appear in high-impact journals including Marine Pollution Bulletin, Ocean Engineering, and Process Safety and Environmental Protection, indicating recognition within the maritime safety research community.