جست‌وجوی استاد و پژوهشگر

• Optimization
• Computational Mathematics
• Machine Learning
• +۳ مورد دیگر

Dr. Maryam Yashtini is an Assistant Professor at Georgetown University's Department of Mathematics and Statistics (College of Arts and Sciences). She holds a Ph.D. in Applied Mathematics and dual M.S. degrees in Mathematics and Industrial & Systems Engineering from the University of Florida. Her research focuses on optimization, computational mathematics, and machine learning applications in medical imaging and computer vision. Notable contributions include algorithms for MRI image quality improvement and AI-generated image detection. Education: Ph.D., Applied Mathematics, University of Florida M.S., Industrial Engineering, University of Florida M.S., Applied Mathematics, University of Florida Research interests span optimization theory, image processing, and interdisciplinary applications in healthcare. Her work bridges theoretical mathematics with practical challenges in medical imaging, such as pneumonia detection via CNN models and texture-based AI image analysis. Over 20 peer-reviewed publications appear in top journals like the Journal of Global Optimization and SIAM Journal on Imaging Sciences. Scientific Honors: Best Paper Award, Journal of the Operations Research Society of China Best Presentation Award, International Congress of Mathematicians Her research has been featured in Georgetown College News. Current projects emphasize AI-driven medical diagnostics and algorithmic advancements in nonconvex optimization. She actively mentors students and promotes interdisciplinary collaboration to address real-world problems.

Thomas J. McDonaldمشاهده پروفایل

استاد

• Environmental Chemistry
• Petroleum Geochemistry
• General Organic Geochemistry
• +۳ مورد دیگر

Thomas J. McDonald is a Regents Professor in the Department of Environmental and Occupational Health at Texas A&M University's School of Public Health. He holds a PhD in Chemical Oceanography from Texas A&M University (1988) and has over three decades of academic and industry experience in environmental chemistry, petroleum geochemistry, and bioremediation. His professional roles include serving as Assistant Dean for Academic Affairs (2014–2017), Department Head (2010–2014), and leadership in research projects funded by federal agencies like NOAA, EPA, and NIH. McDonald's research focuses on environmental contaminant analysis, including PAHs, petroleum biomarkers, and toxicology. He has led over 20 major projects totaling millions in funding, addressing issues like oil spill identification, bioremediation strategies, and environmental justice. His work spans academic collaborations, federal grants, and industry partnerships, emphasizing community engagement and disaster response. He has authored/co-authored over 150 peer-reviewed publications and received awards such as the Aggies Celebrate Teaching Award (2020), Regents Professor title (2019), and Distinguished Achievement Award (2015). His labs and teams prioritize translational research, integrating advanced analytical methods with public health applications. McDonald's advisory contributions include mentoring students in environmental health and toxicology, with a focus on training future public health professionals through programs like the Public Health Traineeship supported by HRSA grants. His research also addresses emerging challenges like PFAS contamination and post-hurricane environmental recovery in Houston.

• Textile Engineering
• Forensic Science
• Material Science
• +۳ مورد دیگر

Professor Steve Michielsen is a leading academic in the Department of Fashion & Textiles at RMIT University , based in Brunswick, Australia. His research focuses on advanced textiles, forensic material analysis, and nanotechnology applications in fabrics. He holds a Professor rank and is actively engaged in supervising PhD and Master’s students in projects like Enhanced Mycelium Materials and Stimuli-Responsive Textiles. Key research interests include forensic bloodstain pattern analysis, textile performance under environmental conditions, and the development of smart fabrics with functional properties such as odor control, thermal regulation, and antimicrobial features. His work bridges material science with biomedical and crime scene analysis applications. Professor Michielsen’s recent publications (2020–2025) emphasize interdisciplinary approaches, including studies on bloodstain dynamics, nanodiamond integration in textiles, and wicking mechanisms mimicking human sweating. These contributions highlight innovations in forensic science, sustainable materials, and wearable technology. He oversees supervision of 4 active research projects and collaborates widely in academic and industry networks. While no formal awards are listed, his prolific publication record (over 88 outputs) underscores his scholarly impact. His work frequently appears in journals like Textile Research Journal , Forensic Science International , and Journal of the Textile Institute .

Maria Louison Vangمشاهده پروفایل

دانشیار

• Psychotraumatology
• Posttraumatic Stress Disorder (PTSD)
• Complex PTSD (CPTSD)
• +۸ مورد دیگر

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
• +۵ مورد دیگر

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
• +۳ مورد دیگر

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 Valleمشاهده پروفایل

استاد

• Analytical Chemistry
• Electrochemistry
• Sensor Technology
• +۶ مورد دیگر

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
• +۷ مورد دیگر

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 Zhangمشاهده پروفایل

استاد

• Digital Forensics
• Cybersecurity
• IoT Security
• +۵ مورد دیگر

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 Gerritzenمشاهده پروفایل

پژوهشگر

• Archaeology
• Geochemistry
• Environmental Science
• +۳ مورد دیگر

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
• +۷ مورد دیگر

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 Chinمشاهده پروفایل

استادیار

• Causal Inference
• Algorithmic Fairness
• Machine Learning
• +۱۲ مورد دیگر

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 Marianiمشاهده پروفایل

استاد

• Marine Ecology
• Conservation Genetics
• DNA Metabarcoding
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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 Choudharyمشاهده پروفایل

دانشیار

• Cybersecurity
• Machine Learning
• Internet of Things
• +۸ مورد دیگر

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.