جستجوی استاد راهنمای دانشگاهی

Maurice E. Dawsonمشاهده پروفایل

دانشیار

• Cybersecurity
• Software Assurance
• Internet of Things (IoT)
• +۴ مورد دیگر

Maurice E. Dawson is an Associate Professor and Director of the Center for Cyber Security and Forensics Education (C²SAFE) at Illinois Institute of Technology's College of Computing. He holds multiple advanced degrees, including a Ph.D. in Cybersecurity from London Metropolitan University and a Postdoc in Information Science from Universidade Fernando Pessoa. His research focuses on software assurance, IoT security, and critical infrastructure protection, with over 150 peer-reviewed publications and book chapters. Affiliations: Illinois Tech, Fulbright Specialist Program, IEEE Senior Member Grants: Over $100K in grants from U.S. State Department, USAID, and others for cybersecurity initiatives in Africa and the Middle East. Research Interests: Explores hyperconnectivity risks, dark web extremism, and cross-border cybersecurity collaboration. His work bridges academic research with practical applications in developing nations, focusing on IT training and infrastructure resilience. Awards & Recognition: Recipient of Teaching Excellence Awards (2019, 2021), Fulbright Specialist grants (Botswana, Saudi Arabia), and volunteer service medals. Media engagements include ABC7 Chicago and Illinois Public Media for cybersecurity commentary. Advising & Grants: Supervised multiple USAID-funded ICT projects in Senegal and Guinea, training local agricultural and tech professionals. Served on advisory boards for CTU and VIU, and editorships for journals like International Journal of Hyperconnectivity and IoT . Labs & Teams: Leads C²SAFE lab at Illinois Tech, specializing in incident response, digital forensics, and AI-driven security solutions. Collaborates with international institutions on cybersecurity education frameworks.

Graciela S. Cabanaمشاهده پروفایل

استاد

• Molecular Anthropology
• Science and Technology Studies
• Paleogenomics
• +۷ مورد دیگر

Graciela S. Cabana serves as Professor and Director of Graduate Studies in the Department of Anthropology within the College of Arts and Sciences at the University of Tennessee, Knoxville. She directs the Molecular Anthropology Laboratories (MAL-UTK), a specialized research facility dedicated to DNA analyses of humans with expertise in degraded DNA, ancient DNA, and archaeogenetics. Education: Ph.D. in Anthropology, University of Michigan, Ann Arbor M.A. in Anthropology, University of Michigan, Ann Arbor B.A. in Political Science, University of California, Berkeley As an anthropologist, Dr. Cabana studies the human genome within a biosocial context, drawing insights from history, archaeology, philosophy of science, science and technology studies, and human evolutionary studies. Her research focuses on human movements and their consequences for genome evolution and identity formation. She incorporates tools from ancient and modern DNA analysis, ethnography, and historical analysis in her work on paleogenomics, bioarchaeology, and science & technology studies. Her extensive publication record reveals consistent scholarly contributions in population genetics, migration studies, and interdisciplinary approaches to anthropological questions, with particular emphasis on ancient DNA analysis of historical populations in the Americas, community-engaged research with descendant communities, and the social dimensions of genetic research. Dr. Cabana actively mentors numerous graduate students across various research projects related to paleogenomics, bioarchaeology, and science & technology studies. She teaches courses including Theory in Biological Anthropology, Anthropology & the Genome, DNA Methods, and What is Science? Additionally, she serves as Co-Editor-in-Chief of the Yearbook of Biological Anthropology and Associate Editor for Human Biology and Bioarchaeology International. The Molecular Anthropology Laboratories (MAL-UTK), which she directs, consists of both Main Lab facilities for modern DNA studies and Clean Room Labs specifically designed for ancient/paleogenomic DNA studies of degraded samples. The laboratory complex is USDA certified to receive foreign soils and includes specialized facilities for DNA extraction, amplification, and library preparation.

Yuan Hongمشاهده پروفایل

دانشیار

• Security
• Privacy
• Trustworthy Machine Learning
• +۸ مورد دیگر

Dr. Yuan Hong is an Associate Professor and Collins Aerospace Professor at the University of Connecticut's School of Computing, affiliated with the Connecticut Advanced Computing Center (CACC). He previously held an Assistant Professor position at Illinois Institute of Technology. His expertise spans Security, Privacy, and Trustworthy Machine Learning, with a focus on differential privacy, secure computation, adversarial attacks, and robustness in AI systems. He has received notable awards including the NSF CAREER Award and Cisco Research Awards, and his work has been published in top-tier venues like S&P, CCS, NeurIPS, and CVPR. Education: Ph.D. (Rutgers University), M.Sc. (Concordia University), B.Sc. (Beijing Institute of Technology). Research interests include adversarial machine learning, federated learning security, and privacy-preserving techniques. His recent work addresses challenges in machine unlearning, certified defenses, and robust watermarking for graph learning systems. He actively advises students (Ph.D., M.Sc., undergraduate) and leads the DataSec Lab. Current teaching includes Cybersecurity Lab, Computer Security, and Database Organization. Awards include the CCS Distinguished Paper Award (2024) and the Taylor L. Booth Graduate Fellowship for a student. He organizes conferences such as WPES'22 and DBSEC'22, and serves on editorial boards for IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, and others. Key contributions include frameworks for certified adversarial robustness (e.g., UniCR), differential privacy mechanisms for federated learning, and defenses against poisoning attacks in video and code generation models.

Rebecca C. Morganمشاهده پروفایل

استاد

• Elder Law
• Estate Planning
• Disability Planning
• +۴ مورد دیگر

Rebecca C. Morgan is a Professor of Law at Stetson University College of Law, specializing in Elder Law. She teaches courses such as Trusts and Estates, Elder Law Seminar, and LLM Law & Aging. Her research focuses on elder financial exploitation prevention, guardianship reform, and special needs trusts. She co-authored influential texts including Tax, Estate and Financial Planning for the Elderly and Elder Law in Context . Morgan has held leadership roles in organizations like the National Academy of Elder Law Attorneys (past president), National Senior Citizens Law Center (board chair), and American Association of Law Schools Section on Aging and the Law. She co-edits the Elder Law Prof Blog and advises on national committees addressing elder abuse and guardianship. Notable awards include the 2003 Florida Supreme Court Professionalism Award, 2008 Homer & Dolly Hand Award for Scholarship, and 2018 Hall of Fame Induction. Her work emphasizes ethical practice, legal reform, and interdisciplinary solutions to aging challenges.

H. Kevin Fulkمشاهده پروفایل

دانشیار

• Information Systems Implementation
• Positive Technology Applications
• Legal Technology
• +۵ مورد دیگر

Dr. H. Kevin Fulk is an Associate Professor of Information Systems in the School of Accounting, Finance, Information Systems, and Business Law at Western Carolina University's College of Business. He holds a Juris Doctor from the University of Kansas School of Law, an MBA from the University of Kansas, and a Ph.D. in Management Information Systems from the University of Houston. His research focuses on information systems implementation challenges, the positive societal impact of technology, and applications of technology in legal practice and access to legal services. Teaching interests include productivity applications, computer networking, IT project management, database management, and ethical technology use. Recent work emphasizes AI in education (e.g., generative AI’s effects on learning and ethics), legal technology (e.g., combating textbook piracy), and organizational compassion through IT. His 2022 article on AI-driven interview preparation won the Best Pedagogy Paper Award. He advises no listed students but has contributed to over 20 scholarly articles addressing topics like ERP implementation, cybersecurity laws, and disruptive innovation. His office is located in 203 Forsyth Building, and he uses pronouns He/His.

Angie Birtمشاهده پروفایل

استادیار

• Human Memory
• Forensic Psychology
• Emotion and Memory
• +۷ مورد دیگر

Dr. Angie Birt is an Assistant Professor in the Department of Psychology at Mount Saint Vincent University. Her research focuses on human memory, particularly how emotion influences memory encoding and recall in distressing or traumatic events, with applications in forensic contexts such as eyewitness testimony. She also investigates forgiveness's impact on memory, memory processes across aging, and deception detection. Education: M.A. and Ph.D. in Cognitive Psychology, University of British Columbia B.A. Honours in Psychology, University of Prince Edward Island Research Interests: Dr. Birt employs emotionally evocative stimuli (e.g., videos, photographs) in lab experiments and examines subjective vs. physiological measures of emotional experience. She explores mechanisms behind emotion-memory interactions and real-world implications, such as legal scenarios involving trauma victims. Additional interests include false memory, prospective memory, implicit/explicit memory dynamics, memory decline in aging/dementia, and criminal behavior analysis (e.g., psychopathology, sexual violence). Teaching & Mentorship: She supervises Honours students, directs independent studies, and offers research assistantships (paid and volunteer). Her lab provides students hands-on experience in experimental design, data collection, and analysis across cognitive and forensic psychology domains. Contact: Office: Evaristus 423 | Phone: (902) 457-6667 | Email: angela.birt@msvu.ca

LIANG Zhenkaiمشاهده پروفایل

دانشیار

• system and software security
• Web security
• mobile security
• +۶ مورد دیگر

Dr. LIANG Zhenkai is an Associate Professor and Chairman of the Department of Computer Science at the National University of Singapore's School of Computing. He also serves as the Lead Principal Investigator for the National Cybersecurity R&D Lab (NCL). With extensive experience in academic leadership and cybersecurity research, Dr. Liang has established himself as a prominent figure in the field of system and software security. Dr. Liang received his Ph.D. in Computer Science from Stony Brook University in 2006 and his B.S. degrees in Computer Science and Economics from Peking University in 1999. His dual background provides a unique perspective on security challenges that bridges technical expertise with economic understanding. Dr. Liang's research focuses on system and software security , with particular emphasis on security in emerging platforms including Web, mobile, and Internet-of-Things (IoT) systems. His specific research interests include program analysis, Web and IoT system security, and virtualization. As the leader of the Curiosity Research Group, his team pursues missions centered around "Understanding systems (理解系统), abstracting knowledge (提炼知识), and connecting facts (参悟规律)". This philosophical approach to security research has yielded numerous significant contributions to the field. Dr. Liang's recent publications demonstrate a strong evolution from fundamental security mechanisms to sophisticated solutions addressing AI security, blockchain, and advanced vulnerability analysis. His work increasingly integrates machine learning techniques with traditional security approaches, focusing on developing robust defenses against sophisticated attacks while maintaining system usability. The trend shows a progression toward addressing contemporary challenges in large language models, secure system observability, and vulnerability propagation analysis. Dr. Liang has received numerous prestigious awards recognizing his research excellence: Outstanding Paper Award at ACSAC (2003) Best Paper Award at USENIX Security Symposium (2007) ACM SIGSOFT Distinguished Paper at ESEC-FSE (2009) Best Paper Award at W2SP Workshop (2014) Annual Teaching Excellence Award at NUS (2014, 2015) As an educator, Dr. Liang has taught various undergraduate and graduate courses including CS3235 Computer Security, CS5231 Systems Security, and CS5321 Network Security. His teaching philosophy, which he has published on in "Tool, Technique, and Tao in Computer Security Education," emphasizes both technical expertise and philosophical understanding of security principles. He has successfully mentored numerous students and researchers in the cybersecurity field. Dr. Liang leads the Curiosity Research Group, which actively seeks curious minds to join their exploration of security systems. The group maintains strong connections with industry and government cybersecurity initiatives, particularly through the National Cybersecurity R&D Lab (NCL). Their research environment encourages innovative thinking with the requirement that "Curiosity is required, while mentality for repairing things (such as bicycles) is a plus."

• Artificial Intelligence
• Machine Vision
• Distributed Computing
• +۱۱ مورد دیگر

Dr. Dan Ionescu is a Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, Department of Electrical and Computer Engineering. He has been affiliated with the university since 1985, contributing extensively to teaching and research. His career includes visiting professorships at École Nationale Supérieure de Télécommunications (Paris) and Universitat Politècnica de Catalunya (Barcelona). He founded the Machine Intelligence Research Laboratory (1988) and the Network Computing and Control Research Laboratory (NCCT, 1999), which he currently directs. His research spans Artificial Intelligence, Machine Vision, Distributed Computing, Network Control, and Formal Methods. Notable contributions include methodologies in Expert Systems, Image Processing, Temporal Logic, and Network Management. His work has received industrial and governmental grants from CITO, Nortel, NSERC, and others. Recent research focuses on Web-based collaborative platforms (e.g., UC-IC, Watch-Together), Autonomic Computing, and AI applications in gesture control and 3D IR camera systems. Dr. Ionescu’s technical leadership includes pioneering the first distributed network management platform with industry partners and designing the NCIT*net 2 network architecture. His current interests include AI-driven solutions for cybersecurity, medical imaging, and IoT-enabled disaster response systems. He has advised numerous projects in AI ethics, quantum computing, and real-time control systems. His research trends emphasize interdisciplinary innovation, combining AI with healthcare (e.g., MRI analysis, deepfake detection), cybersecurity (GAN-based intrusion detection), and IoT (Salv AIoT platform). Collaborations with IBM CAS and Diatem Networks highlight his industry-academia integration. His legacy includes over 40 years of impactful contributions to computing and engineering education.

Lambert Schomakerمشاهده پروفایل

استاد

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +۶ مورد دیگر

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

Craig Coatesمشاهده پروفایل

دانشگاهی

• Insect Genetic Transformation
• Insect Molecular Genetics
• Entomology
• +۳ مورد دیگر

Craig Coates, Ph.D., is an Instructional Professor at Texas A&M University's Department of Entomology, where he teaches undergraduate and graduate courses in forensic investigative sciences and entomology. He also serves as Associate Department Head for Academic Programs and Associate Dean for Programmatic Success in the College of Agriculture & Life Sciences. He holds dual affiliations with Texas A&M AgriLife and the Western Gulf Coast Center of Excellence in Vector Borne Diseases. Dr. Coates earned a B.S. with Honors and Ph.D. in Biochemistry and Molecular Biology from Australian National University. His professional focus combines insect genetic transformation, molecular genetics research, and innovative educational strategies. He has pioneered the use of 3D micro-CT models for entomology education and developed service-learning programs centered on monarch butterfly conservation. His research spans vector control mechanisms (ticks, mosquitoes, stable flies), genomic studies of insect behavior, and transposon-based gene delivery systems. Over 15 years of publications reflect his work on anti-tick vaccines, insect genome analysis, and educational outreach initiatives. His recent studies include genomic insights into Stomoxys calcitrans (stable flies) and synergistic acaricide-vaccine approaches against cattle ticks. Dr. Coates is actively involved in curriculum development, having taught over 500 students annually through large-scale entomology courses. He maintains a lab focused on applying molecular tools to agricultural pest management while advancing STEM education through community engagement.

Laura Ottمشاهده پروفایل

استادیار

• STEM Education
• Biology Education
• Undergraduate Research
• +۳ مورد دیگر

Laura Ott is a Teaching Assistant Professor in the Department of Biology at the University of North Carolina at Chapel Hill. She holds a Ph.D. in Immunology from North Carolina State University (2010) and a B.S. in Microbiology from Michigan State University (2005). Her academic focus revolves around STEM education innovation, particularly in biology and microbiology pedagogy. Ott specializes in developing active learning strategies, tactile teaching tools, and scalable undergraduate research programs. She has contributed to curriculum design in courses like Human Anatomy & Physiology, Advanced Cell Biology, and metagenomics. Her work emphasizes accessibility for underrepresented groups, including deaf students in research settings. Her research outputs highlight contributions to educational frameworks such as classroom-based undergraduate research experiences (CUREs), inquiry-based microbiome activities, and role-based team learning. These initiatives aim to enhance student engagement, scientific literacy, and retention in STEM disciplines. Ott teaches a range of courses including Principles of Biology, Cell Function, and Undergraduate Research in Biology. She actively collaborates with colleagues on projects addressing educational equity and evidence-based teaching practices.

Christopher Leeمشاهده پروفایل

استاد

• Digital Preservation
• Digital Forensics
• Electronic Records Management
• +۳ مورد دیگر

Christopher (Cal) Lee is a Professor at the School of Information and Library Science (SILS) at the University of North Carolina at Chapel Hill. He specializes in digital preservation, digital forensics, and electronic records management, with a focus on the professionalization of digital curation practices. His work includes leading projects like BitCurator and OSSArcFlow, which develop open-source tools for libraries, archives, and museums. Lee holds a PhD in Information from the University of Michigan and has been recognized with awards such as the Frances Carroll McColl Term Professorship and the Society of American Archivists Preservation Publication Award. Education: Bachelor of Arts in Philosophy (Summa Cum Laude), Albion College, 1995 Master of Science in Information, University of Michigan, 1999 PhD in Information, University of Michigan, 2005 Research Interests: Long-term curation of digital collections Diffusion of digital forensics tools into professional practice Open-source software in cultural heritage institutions Ethical and practical challenges in digital preservation Recent Articles and Projects: Lee’s recent work focuses on modeling digital curation workflows (e.g., OSSArcFlow), computer-assisted appraisal methods, and applying natural language processing to born-digital materials. His publications span topics like disk image access, automated redaction of sensitive data, and the integration of forensic tools into archival workflows. Awards and Honors: Frances Carroll McColl Term Professor (2013–2015) Poster Award, Aligning National Approaches to Digital Preservation (2013) Best Political Science Website Award for ContextMiner (2010) Grants and Leadership: Lee has led major grants including the RATOM project (reviewing appraisal of digital mail) and the BitCurator consortium. He co-edited key volumes like Aligning National Approaches to Digital Preservation and serves as a Fellow of the Society of American Archivists. Labs and Teams: He contributes to initiatives like the DataNet Federation Consortium and the DigCCurr curriculum project, fostering collaboration between academia and cultural heritage institutions.

Lumila Paula Menéndezمشاهده پروفایل

پژوهشگر

• Human Evolution
• Biocultural Diversity
• Primate Evolution
• +۵ مورد دیگر

Lumila Paula Menéndez is an Associated Researcher at the Department of Evolutionary Biology within the Faculty of Life Sciences at the University of Vienna. She holds a PhD in Anthropology and Natural Sciences from the National University of La Plata (Argentina) and has conducted postdoctoral research at the University of Tübingen (Germany) and the Konrad Lorenz Institute (Austria). Her work focuses on human evolution, biocultural diversity in the Americas, primate evolution, and theoretical biology. She leads a DFG-funded project examining cranial and ear labyrinth variation in South American human samples to assess evolutionary processes like genetic drift and natural selection. Her interdisciplinary collaborations involve geneticists, biologists, linguists, and archaeologists. Her research interests include morphometric techniques, stable isotope analysis, and virtual anthropology. Notable projects include studying migration patterns leading to the Inka conquest and analyzing craniofacial climatic adaptations across continents. She advocates for inclusive citation practices and open data initiatives in biological anthropology. Recent work includes publications on Holocene human diversity in South America, osteobiographical studies of indigenous remains, and methodological advancements in 3D modeling. She emphasizes integrating genetic, archaeological, and morphological data to address debates about the peopling of the Americas and morphological diversification. Current projects aim to strengthen virtual anthropology's role in quantitative data generation and foster cross-disciplinary dialogue on sustainability and social-ecological systems.

Jefersson Alex dos Santosمشاهده پروفایل

استادیار

• Remote Sensing Image Processing
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Jefersson Alex dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield, UK. Previously, he served as an Associate Professor at Universidade Federal de Minas Gerais (UFMG), Brazil (2013–2022). He holds a PhD in Computer Science from the University of Campinas (Unicamp) and the University of Cergy-Pontoise, France (2013). His research focuses on remote sensing image processing, computer vision, and machine learning, with applications in geospatial data analysis and medical imaging. He is an IEEE Senior Member and serves as an Associate Editor for IEEE Geoscience and Remote Sensing Letters and Co-Chair of the ISPRS Working Group for AI/ML in Geospatial Data. Education: PhD in Computer Science: University of Campinas (Unicamp) & University of Cergy-Pontoise, 2013 Master's in Computer Science: Unicamp, 2009 Bachelor's in Computer Science: University of Mato Grosso do Sul (UEMS), 2006 Research Interests: Remote sensing image processing, computer vision, machine learning, and geospatial data analysis. His work emphasizes interdisciplinary research, including applications in environmental monitoring, medical imaging, and digital forensics. Grants & Awards: CNPq Productivity Research Scholarship (2016–2022) Serrapilheira Institute Research Grant (2021) Labs & Teams: Founder of the Laboratory of Pattern Recognition and Earth Observation (PATREO) at UFMG's Department of Computer Science.

Valerie Trouetمشاهده پروفایل

دانشیار

• Dendrochronology
• Paleoclimatology
• Atmospheric Circulation Patterns
• +۴ مورد دیگر

Valerie Trouet is a Joint Associate Professor in Hydrology and Atmospheric Sciences and an Associate Professor in the Laboratory of Tree-Ring Research at the University of Arizona. Her research focuses on dendrochronology, paleoclimatology, and the influence of atmospheric circulation patterns on ecosystems and human systems. She holds a Ph.D. in Bioscience Engineering from KU Leuven, Belgium. Her expertise bridges climate science and ecology, with emphasis on reconstructing historical climate conditions using tree rings. Key research areas include jet stream dynamics, hydroclimate variability, and the impacts of climate extremes on ecosystems and societies. She has contributed significantly to understanding long-term climate patterns affecting California, Europe, and Asia through interdisciplinary studies combining tree-ring data with meteorological records. Dr. Trouet's work reveals critical insights into climate change mechanisms, such as how atmospheric circulation shifts drive droughts, wildfires, and societal challenges. Her recent studies highlight unprecedented climatic variability in modern times compared to historical baselines. She actively collaborates internationally on projects involving tree-ring networks, climate proxies, and cutting-edge imaging techniques for large-scale densitometry analyses. Her research outcomes inform climate policies and resource management strategies, particularly in water-scarce regions. She maintains a strong presence in both academic publishing and public science communication, illustrating the profound historical narratives encoded in tree rings.