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Maria Louison VangView profile

Associate Professor

• Psychotraumatology
• Posttraumatic Stress Disorder (PTSD)
• Complex PTSD (CPTSD)
• +8 more

Maria Louison Vang is an Associate Professor in the Department of Psychology at the University of Southern Denmark (SDU), Faculty of Health Sciences. She also serves as a Senior Researcher at the Research Unit for Occupational and Environmental Medicine (Odense), Odense University Hospital (OUH), and is affiliated with the Knowledge Center for Psychotraumatology. Her work bridges academic research and clinical application in trauma psychology. Her research focuses on psychotraumatology, including PTSD, CPTSD, prolonged grief, burnout, and secondary traumatization. She investigates trauma exposure and mental health outcomes in high-risk professions such as emergency responders and legal professionals. Her studies often involve clinical validation of diagnostic tools, longitudinal cohort designs, and intervention development. The 15 most recent publications reflect a strong emphasis on trauma assessment, occupational mental health, and evidence-based interventions. Key themes include the development of structured clinical interviews (e.g., A-PGDi), latent class analysis of victimization patterns, and psychosocial work environment studies among Danish prosecutors and ambulance personnel. Her work integrates epidemiology, psychometrics, and clinical psychology. Saupere Aude Grant Maria Louison Vang actively supervises PhD and master’s students, including Jensen, C. F., Alkærsig, M., and Melander-Nyboe, P. She leads major research projects such as the ADAPT study and P.OEM series, funded by competitive grants. Her collaborations span across SDU, OUH, Ulster University, and the Danish Barnáhus network. She is involved in developing resilience programs like DUSA for emergency workers and contributes to public understanding through media engagement and teaching in psychotraumatology seminars.

• Aggression Studies
• Cross-Cultural Psychology
• Forensic Psychology
• +5 more

Dr. Vanlal Thanzami is a Senior Lecturer at the Malaysia Jeffrey Cheah School of Medicine and Health Sciences, Monash University. Her research focuses on aggression studies, cross-cultural psychology, and mental health interventions. She holds a PhD in Psychology from the University of Central Lancashire (2004) and has taught at institutions in the UK and Malaysia. Her research interests include beliefs about aggression across cultures, predictors of aggression (especially among men), and forms of aggression like direct/indirect aggression. She explores cross-cultural mediators of aggression, honor-based violence, cyber-bullying, and evolutionary concepts in aggression. She has published in journals like Aggressive Behaviour and Personality and Individual Differences. Dr. Thanzami has led or contributed to projects such as Global COIL Expansion (2025-2029) and innovative mHealth applications for adolescent mental health. She received the Pro-Vice Chancellor's Excellence in Diversity & Inclusion Award (2022). Her teaching spans social, cross-cultural, and forensic psychology. She emphasizes research-informed pedagogy and has designed multicultural learning experiences via Collaborative Online International Learning (COIL) programs.

• Cryptography
• Computer Security
• Privacy
• +3 more

Gene Tsudik is the Peter & Lois Griffin Professor at the University of California, Irvine (UCI), affiliated with the School of Information and Computer Sciences. His research focuses on cryptography, computer security, privacy, and applied cryptographic protocols. He has authored over 300 publications in top-tier venues, addressing challenges in secure communication, key management, privacy-preserving technologies, and network security. Key research areas include group key agreement, secure data possession, privacy-preserving protocols, and mobile agent systems. His work has influenced foundational aspects of computational grid security, cloud storage integrity, and post-quantum cryptography. Collaborations include prominent institutions like KAIST, University of Surrey, and NYIT. His publications span topics from theoretical cryptographic proofs to practical system implementations, reflecting a balance between academic rigor and real-world applicability.

Manel del ValleView profile

Professor

• Analytical Chemistry
• Electrochemistry
• Sensor Technology
• +6 more

Manel del Valle is a Full Professor of Analytical Chemistry at the Autonomous University of Barcelona (UAB), leading the Sensors & Biosensors Group. He specializes in electrochemical sensors, electronic tongues, and biosensor arrays, with contributions to environmental, pharmaceutical, and security applications. His work integrates nanotechnology and artificial intelligence for advanced data processing. PhD in Chemistry (1992) and B.Sc. in Chemistry (1986) from UAB. Former roles: Associate Professor (1997–2018), Assistant Professor (1989–1997). Research interests focus on sensor array design, electrochemical impedance spectroscopy, and automated analytical systems. He has coordinated EU projects like BORDERSENS (H2020) and authored over 220 publications with an h-index of 84. Awards include the ICREA Academy Distinction and multiple research sexennia. Awards: 3rd National Prize for Studies, Extraordinary Doctorate Award, Medical Journal Research Award. Supervised 28 doctoral theses and 36 final projects across chemistry, engineering, and environmental sciences. Current projects include development of portable drug detection devices and bioelectronic tongues for environmental monitoring. Collaborates widely on electronic tongue applications in food, pharmaceuticals, and security.

• Analytical Chemistry
• Bioinformatics
• Environmental Sciences
• +7 more

Dr. Beatriz Galindo-Prieto is a Researcher at Imperial College London's School of Public Health (Faculty of Medicine), part of the Environmental Toxicology Group within the Environmental Research Group. She specializes in developing multiblock/multi-omics and multivariate data analysis methods, with a focus on big data interpretation, variable selection, and applications in environmental health and bioinformatics. Her current projects include analyzing air pollution effects on health via RNA-seq datasets (UKRI NERC-funded) and policy studies on urban air quality. Affiliations include the MRC Centre for Environment and Health, and NIHR Health Protection Research Units in Environmental Exposures and Chemical/Radiation Hazards. Education: MSc in Chemistry (University of the Balearic Islands) and PhD in Chemometrics (Umeå University, Sweden). Her PhD involved novel variable selection algorithms for multivariate data (VIPOPLS, VIPO2PLS, MB-VIOP). Post-PhD roles include postdoctoral fellowships at NTNU (Norway) and Weill Cornell Medical College (USA), focusing on machine learning for big data in neuroscience and epidemiology. She has taught undergraduate/graduate courses and co-supervised students. Research Interests: Combining chemometrics, bioinformatics, and machine learning to address societal challenges. Key areas include multivariate data analysis for environmental systems, neurodegenerative diseases (Alzheimer’s), and real-time epidemic modeling (Ebola, COVID-19). She emphasizes interdisciplinary collaboration across analytical chemistry, systems biology, and public health policy. Grants & Funding: UKRI NERC, ERCIM (Big Data Cybernetics project), and institutional support from Imperial College London. Her work bridges academia and real-world applications, aiming to translate computational methods into actionable insights for health and environmental policy. Labs/Teams: Active in the Environmental Toxicology Group at Imperial, collaborating with the MRC Centre and NIHR units. Her lab develops novel methodologies for data fusion, visualization, and predictive modeling in complex systems.

Xiaolu ZhangView profile

Professor

• Digital Forensics
• Cybersecurity
• IoT Security
• +5 more

Xiaolu Zhang is currently a Professor in the Information Systems and Cybersecurity department at the University of Texas at San Antonio (UTSA), affiliated with the College of AI, Cyber and Computing. Her research focuses on digital forensics, cybersecurity, and emerging technologies like IoT and blockchain. Specializes in Digital Forensics, IoT Security, and Privacy in Virtual Environments Active in Mobile Application Forensics, Cloud Storage Forensics, and Blockchain Forensics Her recent publications highlight trends in Metaverse privacy challenges, advanced forensic techniques for mobile and cloud platforms, and automated knowledge-sharing systems for IoT investigations. She also contributes to digital forensic education through experiential learning frameworks.

Carina GerritzenView profile

Researcher

• Archaeology
• Geochemistry
• Environmental Science
• +3 more

Carina Gerritzen is a researcher at the Faculty of Sciences, Vrije Universiteit Brussel, specializing in archaeological sciences and geochemistry. Her work focuses on strontium isotope analysis to study human mobility, diet, and environmental interactions in prehistoric and historical contexts. She contributes to initiatives like the IsoBel strontium isoscape project for Belgium and collaborates internationally on bioarchaeological studies. Gerritzen has received notable awards, including the BioArCh 'Gamechanger' prize and recognition for her methodological innovations in isotope analysis. Her research integrates archaeological, geological, and chemical data to reconstruct lifeways and environmental baselines, with applications ranging from cemetery studies to dietary reconstruction. Education: Doctoral scholarship in Archaeology, Environmental Change, and Geochemistry; Doctorate in Chemistry Awards: 1st Prize for Young Researchers (2024), BioArCh Gamechanger Prize (2024), Strontium Isotope Innovation Award (2022) Her research interests emphasize multi-isotope approaches to analyze human and animal remains, with a focus on resolving questions about migration, subsistence strategies, and technological practices. She has pioneered methods for interpreting strontium isotope data alongside environmental baselines and has co-authored over 30 peer-reviewed publications. Gerritzen actively participates in fieldwork, dataset creation (e.g., IsoArcH database), and academic hosting programs to foster international collaboration. Notable projects include reconstructing prehistoric lifeways in Spain, analyzing cremation urns in Slovenia, and developing high-throughput analytical techniques for strontium isotopes. She collaborates with institutions across Europe and has presented at major conferences such as the UK Archaeological Sciences Conference.

• Deception Detection
• Psychological Basis of Lying
• Credibility Assessment
• +7 more

Kristina Suchotzki is a Professor of Psychological Legal Assessment at Philipps-Universität Marburg, where she leads a research group focused on deception detection, credibility assessment, and the psychological mechanisms underlying lying. She is affiliated with the Department of Psychology, specifically within the research unit on Psychological Legal Assessment with a focus on Legal Psychology. Her research interests center on the psychological basis of deception, using behavioral, autonomic, and neural measures to detect lies and concealed information. She investigates emotional modulation of memory for crime-related details, credibility assessment, and the application of reaction time-based tests in forensic settings. Her work bridges experimental psychology with real-world legal applications. Her recent publications reveal a strong trend in deception detection methodologies, particularly reaction time and ocular-based concealed information tests, with increasing integration of artificial intelligence and forensic applicability in prison populations. She frequently publishes in top-tier journals such as Psychological Bulletin , Trends in Cognitive Sciences , and Acta Psychologica , often in collaboration with leading researchers in the field. She has received numerous scientific awards, including: Emmy Noether Grant (DFG) Ig-Nobelpreis (2016) Best Paper Award from the University of Würzburg (2017) Karl-Marbe Prize (2016) PostDoc Plus Funding (University of Würzburg) Multiple travel grants from the Flemish Research Organization She advises PhD students including Verena Jacobs and Tabea Wächtershäuser. Her research is supported by third-party funding, most notably the DFG Emmy Noether Grant. She leads a dynamic research team and is involved in academic self-governance, serving as spokeswoman for the Legal Psychology section of the German Society for Psychology and as a member of university ethics committees. She is actively involved in several labs and research groups, including the Psychological Legal Assessment unit at Philipps-Universität Marburg, and collaborates with institutions across Europe. Her team regularly posts job openings for doctoral researchers and student assistants, indicating ongoing and expanding research activities.

Elizabeth ChinView profile

Assistant Professor

• Causal Inference
• Algorithmic Fairness
• Machine Learning
• +12 more

Elizabeth Chin is an Assistant Professor in the Department of Biostatistics at the Bloomberg School of Public Health, Johns Hopkins University. Her work bridges biostatistics, causal inference, and public health, with a strong focus on equity and ethical decision-making systems. PhD in Biomedical Data Science, Stanford University (2022) BS in Applied Mathematics, UCLA (2017) Her research interests include causal inference, algorithmic fairness, machine learning, and their application to public health challenges such as health inequities, environmental justice, and policy evaluation. She develops statistical methodologies to improve the robustness and fairness of data-driven decisions, particularly in vulnerable populations including incarcerated individuals. Elizabeth Chin's recent publications span high-impact areas such as mental health care disparities, forensic statistics, environmental lead exposure, and pandemic response. Her work often appears in top journals like Nature Machine Intelligence , NEJM , JAMA Pediatrics , and PNAS . A key trend across her articles is the use of advanced statistical methods to address structural injustices and inform equitable policy. National Science Foundation Graduate Fellowship Stanford Graduate Fellowship She has advised and collaborated with leading researchers in biostatistics and public health. Her work has received significant media attention and has been referenced in policy discussions, indicating real-world impact. Elizabeth Chin is actively contributing to national conversations on data ethics, health equity, and scientific rigor in public health.

Stefano MarianiView profile

Professor

• Marine Ecology
• Conservation Genetics
• DNA Metabarcoding
• +3 more

Stefano Mariani is a Professor at Liverpool John Moores University (since 2019) in the School of Environment & Life Sciences. Previously, he held roles including Professor of Conservation Genetics at the University of Salford (2011–2019), Lecturer at University College Dublin (2005–2011), and Post-Doctoral Researcher at the University of Hull (2002–2004). He earned his PhD in Animal Biology from Sapienza University of Rome (2001) and a BSc+MSc in Biology from the University of Rome Tor Vergata (1997). His research focuses on marine ecology and conservation genetics, with emphasis on interdisciplinary approaches for biodiversity management, DNA metabarcoding, and fisheries sustainability. Recent work includes leveraging eDNA from sponges and diver-assisted sampling for marine biodiversity monitoring, as well as investigating sex change dynamics in fish populations. Key contributions span environmental DNA applications, seafood traceability, and Antarctic biodiversity studies. Publications highlight innovations like using museum-preserved sponges for historical eDNA analysis and developing tools to combat seafood mislabeling. Collaborative projects include global biodiversity monitoring (e.g., DNA Divers initiative) and forensic applications of eDNA in wildlife crime investigations. His work bridges academic research with practical conservation, emphasizing scalable solutions for marine ecosystems. Current affiliations include Liverpool John Moores University, with grants and partnerships focused on eDNA technologies and fisheries management.

• Entrepreneurship
• Economics
• Pedagogics
• +3 more

Andre Clark is a Senior Lecturer at the Faculty of Business and Creative Industries, specializing in entrepreneurship, economics, and pedagogics. His research explores economic education, cognitive diversity in learning, and the intersection of technology with societal structures. Affiliations: Business Research and Innovation Group External Roles: Chairman of Beacons Creative (Wales) Ltd., Director of Fenchurch Street Consulting, and Non-Executive Director of an ISP. Clark holds Fellowships from the Higher Education Academy (HEA) and the Chartered Institute of Educational Assessors (CIEA). His work spans academic research, consultancy, and public policy advising, including roles with the Welsh Assembly Social Enterprise Advisory Panel (2011-15). Research Interests: Entrepreneurship education, historical economic analysis, and the application of pedagogical frameworks in dynamic environments. His recent digital work, An Economic History of Wales , combines historical data with modern economic theory. Awards: Best Paper (2019), King Charles III Coronation Medal (2023), and Queen’s Platinum Jubilee Medal (2022). Grants/Consultancy: Managed Director roles in consulting and advisory capacities, contributing to corporate strategy and policy development.

Gaurav ChoudharyView profile

Associate Professor

• Cybersecurity
• Machine Learning
• Internet of Things
• +8 more

Gaurav Choudhary is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the College of Engineering and the Cybersecurity Engineering department. His research focuses on emerging threats in digital systems, with a particular emphasis on Malware Detection, Internet of Things (IoT) security, and Machine Learning applications in cybersecurity. His recent work explores intrusion detection in IoT ecosystems, drone identification using RF signals, and the analysis of virtual private networks and proxies. These studies span subfields like Tiny Machine Learning, Scalable Deployment, and Tor Browser forensics, reflecting his interest in both theoretical and applied security challenges. The majority of his publications from 2025 revolve around enhancing cybersecurity frameworks through innovative machine learning techniques, user-centric authentication methods, and forensic investigation tools. Despite his active research contributions, no specific scientific awards or students he has advised are mentioned in the provided data.

• Natural Hazards
• Debris Flows
• Rockfall
• +6 more

Johannes Hübl is a Full Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), leading the Institute for Alpine Natural Hazards within the Department of Landscape, Water and Infrastructure. His research focuses on alpine mass movement dynamics—particularly debris flows, rockfalls, and floods—with emphasis on risk management, mitigation engineering, and climate change adaptation. He maintains an active project portfolio including EU-funded initiatives and Austrian federal collaborations. His primary research interests include the physical processes of debris flows (surge dynamics, run-up behavior, sediment transport), rockfall hazard assessment, flood protection engineering, and climate change impacts on alpine hazards. Recent work pioneers advanced monitoring techniques like pulse-Doppler radar and LiDAR for real-time measurement of flow velocity and height, directly informing protective dam design and early warning systems. He also develops GIS-integrated simulation models for granular flows and risk assessment. Hübl's publications trend toward high-resolution field studies of debris flow dynamics, with significant focus on spatial impact distribution, statistical discharge modeling, and wildfire-hazard linkages. This reflects growing priorities in climate-resilient infrastructure and quantifiable risk assessment methodologies across European alpine regions. Scientific awards: No awards, fellowships, or medals are documented in the provided materials. Advising and grants: Professor Hübl has supervised numerous university theses as indicated by his profile. His grant leadership spans over 30 projects since 1994, including: EU projects: Nature-Based Solutions for Climate-Resilient Infrastructure (2024-2028), THARMIT (2000-2003) Austrian federal funding: 20+ projects with BMLFUW/BMF (e.g., rockfall detection, sediment management) International commissions: Bhutan flood mitigation (2000), Melamchi River reviews (2023) Industry collaborations: Check dam failure analysis, Cougar Creek optimization Labs and teams: He directs field monitoring operations including the Illgraben (Switzerland) and Gadria Creek (Italy) test sites. His institute employs physical modeling (hydraulic experiments, laser scanning) and develops real-time warning systems for alpine catchments, working closely with Austrian watershed management agencies and European consortia on event documentation and structural countermeasures.

Markus HeydenreichView profile

Professor

• Probability Theory
• Statistical Mechanics
• Random Graphs
• +7 more

Markus Heydenreich is a Professor at the Institute of Mathematics, Faculty of Mathematics, Natural Sciences and Technology, University of Augsburg. His research focuses on probability theory, particularly discrete random objects in statistical mechanics, mean-field behavior, lace expansion, and spatial random graph models. 2025: Workshop Bayrischzell 2024: Workshop Frauenchiemsee His recent publications highlight critical phenomena in random connection models, percolation, and spatial networks. He contributes to editorial boards and DFG-funded projects, including Random Geometric Systems and Mathematics of Many-Body Quantum Systems . Teaching includes courses on stochastic processes and seminars on probability and forensics. Key research themes: phase transitions, high-dimensional random walks, and mathematical physics applications. Collaborators include Remco van der Hofstad, Christian Hirsch, and Kilian Matzke. The team at Augsburg comprises doctoral researchers and postdocs.

• Molecular Diagnostics
• Cancer Biology
• Quantitative PCR (qPCR)
• +3 more

Professor Stephen Bustin is a distinguished academic at Anglia Ruskin University (ARU) within the Faculty of Health, Medicine and Social Care and School of Allied Health and Social Care. As a global authority on quantitative PCR (qPCR), his work bridges molecular medicine and clinical diagnostics, leading the Molecular Diagnostics Unit at ARU's Medical Technology Research Centre (MTRC). PhD in Molecular Genetics, Trinity College Dublin Editor-in-Chief, Biomolecular Detection and Quantification (Elsevier) His research spans molecular diagnostics, nucleic acid quantification, and proximity ligation assays. He pioneered the MIQE and digital MIQE guidelines, revolutionizing qPCR/dPCR standardization. His expertise extends to forensic applications, notably advising UK High Court and Washington DC on MMR vaccine-autism litigation. Recent publications emphasize qPCR optimization (2024), digital PCR standardization (2020), and primer design (2017). Key themes include diagnostic assay development, biomarker quantification, and scientific reproducibility. Member, Academy of Europe Fellow, Royal Society of Biology Editorial leadership in molecular science journals As an educator, he supervises research on molecular biomarkers for cancer therapy selection and aptamer-based infectious disease diagnostics. His work addresses critical challenges in biomedical research reliability and antibiotic resistance marker detection (e.g., MDR-1).