جست‌وجوی استاد و پژوهشگر

Gian Luca Marcialisمشاهده پروفایل

دانشیار

• Biometrics
• Presentation Attack Detection
• Facial Recognition
• +۴ مورد دیگر

Gian Luca Marcialis is an Associate Professor at the University of Cagliari, leading the Biometric Unit of the Pattern Recognition and Applications Laboratory (PRA Lab) within the Department of Electrical and Electronic Engineering. He holds an M.S. and Ph.D. in Electronic Engineering and Computer Science from the University of Cagliari (2000 and 2004). His research focuses on biometric security, including fingerprint presentation attack detection, facial deepfake detection, and crowd anomaly analysis. Key areas include multimodal biometric systems, liveness detection in authentication, and the ethical implications of AI in forensics. Marzialis has contributed to initiatives like the LivDet competitions and BullyBuster project against cyberbullying. His work integrates machine learning with real-world applications in surveillance, healthcare, and public safety, emphasizing both technical innovation and societal impact.

Damien Hufferمشاهده پروفایل

پژوهشگر ارشد

• Archaeology
• Bioarchaeology
• Cultural Heritage Preservation
• +۳ مورد دیگر

Dr. Damien Huffer is an Honorary Research Fellow at the School of Social Science, University of Queensland. His research focuses on the illicit trade of human remains, digital anthropology, and bioarchaeology. He collaborates with global institutions on projects addressing cultural heritage preservation, social media’s role in criminal networks, and ethical challenges in osteological studies. Key affiliations include the SocioHealthLab and UQ Bioarchaeology and Osteology Network (BONE) Research Group. Recent work examines Instagram and Facebook’s impact on trafficking dynamics, legal frameworks governing human remains, and isotope analysis applications. Huffer’s publications span Oxford University Press, Springer, and Palgrave Macmillan, with a 2023 monograph on online human remains trade ethics. His interdisciplinary approach integrates anthropology, criminology, and computer science to combat cultural heritage crimes.

Toyosi Oyinloyeمشاهده پروفایل

مدرس

• Cybersecurity
• Software Security
• Ethical Hacking
• +۴ مورد دیگر

Toyosi Oyinloye is the Deputy Head of the School of Computer and Engineering Sciences at the University of Chester, and Programme Leader of the NCSC-certified MSc Cybersecurity programme. She holds a PhD in Cybersecurity from the University of Chester and has over 20 years of experience in software development, database management, and cybersecurity. Her academic roles include teaching final-year computer programming (Swift for iOS Development) and postgraduate cybersecurity modules like Software Exploitation and Research Methods. Education: PhD in Cybersecurity, University of Chester (2024) MSc in Cybersecurity, University of Chester BSc in Computer Science, University of Ilorin, Nigeria PGCert in Learning and Teaching in Higher Education, University of Chester Research Interests: Toyosi focuses on enhancing software protection mechanisms, particularly through Inter-Process Control Flow Integrity to mitigate control flow hijacks. She also investigates mitigating social engineering attacks and applying data visualization for incident response. Her work spans cybersecurity domains such as mobile application security, exploit development, and firmware forensics. Professional Recognition: Fellow of the Higher Education Academy (FHEA) Fellowship (2023) British Computer Society Membership (2022) Teaching & Leadership: Toyosi supervises undergraduate programming projects and postgraduate cybersecurity research. She leads initiatives to elevate programme quality across the School and serves as an Internal Examiner for PhD candidates. Her leadership extends to mentoring and collaborative projects. Labs & Teams: Her research is affiliated with the University of Chester's Culture and Society Research and Knowledge Exchange Institute, where she contributes to interdisciplinary cybersecurity advancements.

Kenneth Clark Hoverمشاهده پروفایل

استاد

• Structural Engineering
• Concrete Design and Construction
• Materials Science
• +۳ مورد دیگر

Kenneth Clark Hover is a Professor in the School of Civil and Environmental Engineering at Cornell University. He holds a B.S. (1972) and M.S. (1974) in Civil Engineering from the University of Cincinnati, and a Ph.D. (1984) from Cornell University. His career spans over 40 years in structural design, construction, and academic research, with a focus on concrete materials analysis and rehabilitation. Hover has been a key figure in forensic engineering investigations, including the 2021 Surfside condominium collapse and post-earthquake assessments in Haiti (2010). Research interests include concrete durability, materials science, and construction methodologies. He has received prestigious awards such as the Stephen Weiss Presidential Fellowship (2000) and was named one of the 'Ten Most Influential People in the Concrete Industry' (2006). Hover is a Fellow of the American Concrete Institute and a member of multiple international engineering societies. His academic leadership includes teaching roles and administrative contributions to Cornell's engineering programs. Recent work involves material analysis for structural failures, with a focus on evaporation effects, temperature impacts on strength, and maturity prediction models. His investigations combine field experience with advanced testing methods to improve construction safety and material reliability.

Young Jin Leeمشاهده پروفایل

استاد

• Mass Spectrometry Imaging
• Metabolomics
• Forensic Science
• +۳ مورد دیگر

Young Jin Lee is a Professor of Chemistry at Iowa State University , Ames, IA. His research focuses on advancing mass spectrometry imaging (MSI) technologies, particularly matrix-assisted laser desorption/ionization (MALDI), to address biological and forensic challenges. Key areas include spatial metabolomics, on-tissue chemical derivatization (OTCD), in vivo isotope labeling, and applications in plant systems and clinical diagnostics. Research interests span plant metabolomics , forensic fingerprint analysis , and rapid antibiotic resistance testing . Notable methodologies include OzMALDI for double-bond assignment and multiplex MALDI-MS imaging for latent fingerprint profiling. His lab develops novel instrumentation, such as mobilized electrospray devices and nanoparticle-based substrates, to enhance analytical sensitivity and spatial resolution. Forensic applications highlight predicting fingerprint age via ozonolysis kinetics and linking triacylglycerol profiles to individual lifestyle markers. In plant biology, studies investigate galactolipid biosynthesis in duckweed and maize root metabolism using isotopic tracing. The group also explores 3D MALDI-MSI for single-cell metabolomics in plant and zebrafish embryos. Instrumentation innovations include high-resolution MALDI-MS systems and open-source tools like rMSIcleanup for matrix peak annotation. Collaborative work extends to microbiome metabolomics and pyrolysis analysis of biomass. Labs/Teams: Lee Laboratory (Iowa State University). Research is supported by grants focusing on analytical chemistry, forensic science, and plant biology applications.

Leonard Newmanمشاهده پروفایل

استاد

• Social Psychology
• Genocide Studies
• Intergroup Violence
• +۵ مورد دیگر

Leonard Newman is a Professor and Associate Chair in the Department of Psychology at Syracuse University’s College of Arts and Sciences. He also serves as Director of Undergraduate Studies and Director of the Ph.D. Program in Social Psychology. His research focuses on social cognition, particularly dehumanization, genocide, and self-protective processes. Newman holds a Ph.D. in Psychology from New York University (1990) with specialization in Quantitative Psychology. He has authored/co-authored over 75 publications, including influential books like Confronting Humanity at its Worst and Understanding Genocide . His work spans topics such as implicit attitudes toward law enforcement, gender stereotypes, and psychological mechanisms behind intergroup violence. Teaching responsibilities include courses like Experimental Social Psychology and Why Good People Do Terrible Things . Newman’s service includes editorial roles at Personality and Individual Differences , Basic and Applied Social Psychology , and leadership roles in departmental governance. He frequently presents at conferences including the Society for Personality and Social Psychology.

Riyad S. Aboutahaمشاهده پروفایل

دانشیار

• Forensic Engineering
• Structural Failures
• Structural Assessment and Rehabilitation
• +۴ مورد دیگر

Dr. Riyad S. Aboutaha is an Associate Professor of Structural Engineering in the Department of Civil and Environmental Engineering at Syracuse University. With over 40 years of experience, he specializes in forensic engineering, structural failures, and infrastructure rehabilitation using advanced materials like CFRP composites. His research emphasizes preventive maintenance economics and bridge renewal strategies. Education: Ph.D., Civil Engineering, 1994, University of Texas at Austin, USA M.S., Civil Engineering, 1990, University of Texas at Austin, USA B.E., Civil Engineering, 1981, Beirut Arab University, Lebanon Research Interests CFRP composites for bridge rehabilitation Economic analysis of preventive maintenance Structural failure investigation Material durability in existing structures Fire-damaged concrete strengthening His work includes major projects for U.S. FHWA, NYSDOT, and Shandong DOT (China), focusing on composite materials and infrastructure renewal. He is a Fellow of the American Concrete Institute (ACI) and has delivered international seminars on bridge rehabilitation techniques. Grants and Collaborations Completed research for Schöck Bauteile GmbH (Germany) on GFRP ComBAR durability NYSDOT-funded studies on FRP bridge deck surfaces Shandong DOT project on CFRP-based bridge widening Key labs/teams: Involved in Syracuse University's Civil Engineering labs focused on structural testing and composite material applications.

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +۴ مورد دیگر

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

Richard Armمشاهده پروفایل

پژوهشگر ارشد

• Bio-medical engineering and prosthetics
• Biomimetic materials
• Synthesising living human tissue
• +۳ مورد دیگر

Richard Arm is a Senior Research Fellow at Nottingham Trent University, affiliated with the Nottingham School of Art & Design and the Department of Fashion, Knitwear and Textile Design. His research focuses on bio-medical engineering, prosthetics, and biomimetic materials, with a strong emphasis on wearable technology and functional composites. Richard collaborates with organizations like the Royal Centre for Defence Medicine and Defence Science and Technology Laboratory to develop life-saving medical training models and emergency treatment technologies. Before his current role, Richard held positions as a Senior Technician, Lecturer, and Prototype Engineer, leveraging his background in visual effects and model-making to innovate in medical simulation. He is a Fellow of the Royal Society of the Arts (FRSA) and the Higher Education Academy (FHEA), with notable contributions to surgical training tools and bio-inspired tissue models. His research areas include synthesizing living human tissue, creating surrogate organs for medical education, and advancing wearable electronics for healthcare. Richard’s work bridges art and science, using 3D printing and traditional fabrication techniques to design realistic anatomical models that enhance surgical training and patient outcomes. Awards: FRSA, FHEA, and member of the Association for Simulated Practice in Healthcare. Grants & Collaborations: Partnerships with defence and medical institutions to advance trauma and emergency response technologies. Labs/Teams: Leads interdisciplinary teams at NTU, integrating art, engineering, and healthcare for innovative solutions.

Justin L Matthewsمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Social Psychology
• Virtual Reality Applications
• +۳ مورد دیگر

Dr. Justin L. Matthews is an Associate Professor in the Department of Psychology at California State University, Monterey Bay. His research focuses on cognitive and social psychology, with a particular emphasis on spatial reasoning, language framing, virtual reality applications, and embodied cognition. He has contributed to studies on digital heritage preservation, perspective-taking mechanisms, and physical activity self-worth measurement. Education: Dr. Matthews holds a Ph.D. in Cognitive and Information Sciences from the University of California, Merced (2011-2014), an M.S. in Social and Cognitive Science from UC Merced (2006-2011), and multiple degrees from California State University, Fresno, including a B.A. in Psychology (2000-2002). He also earned an A.A. in Liberal Studies from College of the Sequoias (1998-2000). Research Interests: His work bridges cognitive and social psychology, exploring how spatial and social distances influence perception and decision-making. He investigates how virtual experiences shape artifact interpretation, the linguistic framing of events, and the cognitive underpinnings of perspective-taking. His recent focus includes forensic psychology assessments and physical activity-related self-worth in women. Awards: In 2020, he received the CSUMB Faculty Award for Excellence in Professional Application, recognizing his applied research impact. He is actively involved in community service, serving on the Monterey County Equal Opportunity and Civil Rights Advisory Commission (2016-2021). Advising and Grants: While specific grants are not detailed here, his research record indicates sustained engagement with funded projects in psychology and cognitive sciences. He has collaborated widely, mentoring students in experimental design and data analysis. Labs/Teams: No specific lab affiliations are listed, but his work often involves interdisciplinary collaborations in virtual reality, forensic psychology, and social cognition research.

Margaret Bull Koveraمشاهده پروفایل

استاد

• Eyewitness identification
• Legal decision making
• Jury selection
• +۵ مورد دیگر

Margaret Bull Kovera is a Presidential Scholar and Professor in the Psychology Department at John Jay College of Criminal Justice, City University of New York. She serves as Director of the CUNY PhD Program in Psychology and Law and leads the LAW laboratory, which conducts research in eyewitness identification, jury selection, and expert evidence. An internationally recognized expert, Dr. Kovera has been continuously funded for over 25 years by federal agencies including the National Science Foundation and Bureau of Justice Assistance, with total funding exceeding $2.8 million. Dr. Kovera received her B.A. in Psychology with departmental honors from Northwestern University (1988) and her Ph.D. in Social Psychology from the University of Minnesota (1994). Prior to joining John Jay College, she served on the faculties of Reed College and Florida International University. Her research focuses on eyewitness identification procedures, legal decision making, and racial disparities in the criminal justice system. Dr. Kovera has extensively studied how lineup administration procedures affect identification accuracy, how jurors evaluate eyewitness testimony, and the racial bias in eyewitness identification that contributes to wrongful convictions. Her work bridges psychological science with legal practice, providing empirical evidence to improve criminal justice procedures. Dr. Kovera's recent publications reveal a strong focus on racial disparities in eyewitness identification, police decision-making in suspect identification procedures, and the impact of diversity on legal processes. Her research increasingly examines how facial recognition technology contributes to wrongful arrests, how suspect race affects attorney evaluations of evidence, and the social context of eyewitness identification. These publications demonstrate her commitment to translating psychological science into practical legal reforms. Distinguished Contributions to Psychology and Law Award, American Psychology-Law Society (2025) American Psychology-Law Society Book Award for 'The Psychology of Juries' (2018) Distinguished Lecturer, National Science Foundation Distinguished Lecture Series (2017-2018) Saleem Shah Early Career Award for Excellence and Achievement in Psychology and Law (2000) American Psychology-Law Society Dissertation Award, First Place (1994) Dr. Kovera has mentored numerous doctoral students who have gone on to prominent careers in academia, consulting, and research. Her LAW laboratory has been continuously funded for over 25 years, receiving more than $2.8 million from federal agencies including the National Science Foundation and Bureau of Justice Assistance. She regularly serves as an expert witness in cases involving eyewitness identification and as a jury consultant for attorneys, applying her research directly to legal practice. The LAW laboratory, directed by Dr. Kovera, conducts research in three primary areas: Eyewitness Identification, Jury Selection, and Expert Evidence. Current doctoral students in the lab are investigating juror decision-making, mathematical models of eyewitness memory, lineup procedures, and the influence of diverse jury composition on deliberation quality. The lab has produced significant research on double-blind lineup administration, pretrial publicity effects, and the role of racial stereotypes in eyewitness identification errors.

Nathan H. Lentsمشاهده پروفایل

استاد

• Molecular Biology
• Genetics
• Evolutionary Biology
• +۵ مورد دیگر

Nathan H. Lents is a Professor of Biology at John Jay College of Criminal Justice, CUNY. He holds a B.S. in Biology (1999) and Ph.D. in Pharmacology and Physiology (2004) from Saint Louis University, followed by a postdoctoral fellowship in Genomics at NYU (2006). His research focuses on human genome evolution, particularly human-specific genes and microRNA evolution in Neanderthals/Denisovans. He also explores forensic biology and science communication. Lents has authored two books: *Human Errors: A Panorama of Our Defects* (2018) and *Not So Different: Finding Human Nature in Animals* (2016). He teaches courses ranging from introductory biology to forensic DNA analysis and serves as Director of the Cell and Molecular Biology program. He has held leadership roles, including former Director of the Honors Program and Deputy Chair of the Sciences Department. His awards include the 2018 Outstanding Scholarly Mentoring Award and 2011 Research Excellence Award from John Jay College. Lents blogs at *The Human Evolution Blog* and contributes to *Psychology Today*, emphasizing science literacy and evolutionary perspectives. He also hosts the podcast *This World of Humans*, focusing on life and social sciences research.

H. David Sheetsمشاهده پروفایل

استاد

• Data Science
• Forensics
• Paleontology
• +۳ مورد دیگر

H. David Sheets is a Program Director and Instructional Professor at Merrimack College, affiliated with the Center for Innovation and Research. His research focuses on interdisciplinary applications of data science to fields such as geology, paleontology, biology, and forensics. He holds a B.S. in Physics from SUNY College at Fredonia and a Ph.D. in Physics from the University of Buffalo. His work includes co-authoring the textbook *Geometric Morphometrics for Biologists: A Primer* and pioneering methods for analyzing forensic examiner performance, art surface textures, and graptolite extinction patterns. Key research interests include geometric morphometrics, statistical analysis in forensics, and paleontological data integration. He has advised Master’s student Shannon Connolly and collaborates on projects such as surface metrology for art conservation and stratigraphic correlation methods. Recent publications explore forensic firearm identification, Late Ordovician mass extinction dynamics, and lacquer material characterization. Teaching specialties include Machine Learning, AI programming, statistics, and databases. His contributions bridge academia and practice through interdisciplinary data science applications in both natural and forensic sciences.

Christoph Kinkeldeyمشاهده پروفایل

مدرس

• Data Visualization
• Visual Analytics
• Uncertainty Visualization
• +۳ مورد دیگر

Prof. Christoph Kinkeldey is a Lecturer at Hamburg University of Applied Sciences, affiliated with the Department of Information, Media and Communication within the Faculty of Design, Media and Information. He holds a doctorate in Geoinformatics from HafenCity University Hamburg (2015) and has conducted research globally, including at PennState University, University of Melbourne, and Inria. His work focuses on data visualization, visual analytics, and uncertainty visualization, emphasizing how visual tools aid decision-making in complex data environments. Education: PhD in Geoinformatics, HafenCity University Hamburg (2015) Research Interests: Interactive visual data analysis Uncertainty communication in visualizations Blockchain data exploration (e.g., Bitcoin network analysis) Evaluation of visualization techniques His research bridges cartography, computer science, and human-centered design to empower diverse stakeholders in understanding complex information. Publications: Recent work emphasizes uncertainty visualization for data analysts, machine learning interpretability, and blockchain analytics. Key contributions include the BitConduite tool for Bitcoin network analysis and participatory design methods for non-technical users. Awards: 2016 VAST Mini Challenge 2: Honorable Mention for Clear Analysis Strategy Advising & Collaboration: Currently on parental leave until August 2024, he collaborates with the gicentre (City, University of London) and Monash University’s Department of Human-Centered Computing. His research teams focus on interdisciplinary projects merging visualization theory with practical applications. Labs/Teams: Active in the gicentre’s visualization initiatives and Monash’s Human-Centered Computing group, contributing to open-source tools and international research networks.

• Computer Science
• Cybersecurity
• WebAssembly Security
• +۳ مورد دیگر

Weihang Wang is a Volunteer Assistant Professor in the Department of Computer Science and Engineering at the University of Southern California (USC), part of the School of Engineering and Applied Sciences. His research focuses on WebAssembly security, program analysis, and static/dynamic analysis frameworks. He holds a PhD and has published extensively on topics like WebAssembly obfuscation, decompilation techniques, and flaky test mitigation. Research interests include cybersecurity, software engineering, and the application of AI in program analysis. His work addresses challenges in cross-compilation for WebAssembly, decompilation accuracy, and automated detection of security vulnerabilities in web applications. Notable projects include WaSCR (side channel repairer), WBSan (bug detection), and Wefix (flaky test automation). He has received NSF travel grants for IEEE Security Development (SecDev) conferences in 2022 and 2023. His articles span 2010–2025, showing sustained contributions to web security, compiler optimization, and program transformation. His work intersects with practical applications like ad-blocking systems (Adhere) and bird flu outbreak prediction using migration data (2010–2013). Grants and awards include NSF funding for travel and research, reflecting his active role in academic conferences. He is affiliated with USC's computer science department and maintains an active Google Scholar profile with over 30 publications listed.