جست‌وجوی استاد و پژوهشگر

Matthew Boltonمشاهده پروفایل

دانشیار

• System Safety
• Human Performance Modeling
• Formal Methods
• +۶ مورد دیگر

Matthew Bolton is an Associate Professor in the Department of Systems and Information Engineering at the University of Virginia. His research focuses on human-centered systems engineering, particularly addressing how human behavior and cognition contribute to system failures. He has held prior roles as a Senior Researcher at NASA Ames Research Center and faculty positions at the University of Illinois at Chicago and the University at Buffalo. Bolton specializes in formal methods to enhance system safety in domains like aerospace, healthcare, and cybersecurity. Dr. Bolton holds B.S., M.S., and Ph.D. degrees in Computer Science and Systems Engineering from the University of Virginia (2003, 2006, 2010). His work has been funded by organizations including the European Space Agency, NSF, NASA, AHRQ, and the Department of Defense. His research interests span system safety, human performance modeling, formal methods, cybersecurity, and engineering ethics. Notable contributions include developing the SAFPH formal human reliability analysis framework and advancing medical alarm audibility standards. Recent publications emphasize trust in AI systems, tactile navigation for the visually impaired, and human-agent teaming dynamics. His work has earned prestigious awards, including the Jerome H. Ely Human Factors Article Award (2021) and the William C. Howell Young Investigator Award (2018). Bolton’s research integrates formal verification techniques with human factors engineering to prevent errors in safety-critical systems. He leads the Formal Human Systems Laboratory, exploring inclusive design principles and ethical engineering practices.

Brit Davidsonمشاهده پروفایل

مدرس ارشد

• Digital Health
• Cybersecurity
• Behavioral Science
• +۳ مورد دیگر

Brit Davidson is a Senior Lecturer at the University of Bath in the Department of Management Information, Decisions & Operations. She is affiliated with multiple research centers including the Applied Digital Behaviour Lab, Centre for Qualitative Research, and Institute for Digital Security and Behaviour. Her work focuses on using digital traces to understand human behavior in security and health contexts, employing methods like machine learning, computational linguistics, and qualitative techniques. She teaches MSc courses on Data Mining and Machine Learning. Davidson also serves on the Social Sciences Research Ethics Council (SSREC) at Bath and the Security Research Ethics Council (SREC) at Lancaster University. Her research explores how individuals adapt behavior across online and offline contexts, with a focus on measurement challenges and ethical considerations. Notable projects include studies on sentiment analysis, computational reproducibility, and inclusive digital mental health tools. She has held honorary roles at the University of Bristol in Digital Health and served as a Policy Advisor in the UK Cabinet Office. Davidson has been recognized as a Global Ambassador for the UK under the Global Council for Responsible AI (2025). Her work contributes to UN Sustainable Development Goals related to health and innovation. She leads projects funded by government agencies, focusing on areas like social data bias and AI ethics.

Gabriele Ferriمشاهده پروفایل

استادیار

• Design Justice
• Transforming Practices
• Civic Interaction Design
• +۷ مورد دیگر

Gabriele Ferri is an Assistant Professor at Eindhoven University of Technology's Department of Industrial Design. His work bridges Design Justice and Transforming Practices through methodologies combining design critiques, ethnography, speculative fabulation, and research through design. He actively investigates systemic injustices perpetuated by design artifacts and collaborates with communities to create equitable alternatives. PhD in Semiotics from Università di Bologna (Italy) and Istituto Italiano di Scienze Umane (Firenze) Researcher at Georgia Institute of Technology (USA) and Indiana University Bloomington (ISTC-Social Postdoctoral Researcher funded by Intel) Senior Researcher and program director at Amsterdam University of Applied Sciences (M.Sc. Digital Design development) His research focuses on: Design Justice frameworks in technological development Civic Interaction Design for community empowerment Speculative fabulation methods for crisis situations Blockchain applications in local governance AI ethics and large language models' political implications Recent publications examine AI ideologies, blockchain commons, and citymaking through games. He mentors design students in justice-oriented projects and co-organizes critical design initiatives like Politics of Design @ Dutch Design Week. Contributed to UN Sustainable Development Goals: Sustainable Cities and Communities Active in editorial boards (Big Data & Society journal) Developed design curricula across multiple institutions

Catherine Burnsمشاهده پروفایل

استاد

• Human factors engineering
• Systems engineering
• Safety
• +۷ مورد دیگر

Catherine Burns is a Professor in the Department of Systems Design Engineering at the University of Waterloo, Canada, and holds the Tier 1 Canada Research Chair in Human Factors in Healthcare Systems. She also serves as the Associate Vice President, Health Initiatives, overseeing research in health and health technology alignment with the university's strategic goals. Her roles include leadership in institutional initiatives such as the Health Initiatives Task Force and the Centre for Bioengineering and Biotechnology. Education: She earned a Bachelor's in Systems Design Engineering (1992, University of Waterloo), a Master's in Industrial Engineering (1994, University of Toronto), and a Doctorate in Mechanical and Industrial Engineering (1998, University of Toronto). Research: Her work focuses on human factors engineering, systems engineering, safety, ergonomics, and cognitive engineering, with applications in healthcare systems and technology. Key interests include interface design, usability testing, and decision-making processes in complex environments. Awards: Notable recognitions include multiple Outstanding Performance Awards from the University of Waterloo, the Research Excellence Award (2009), and Fellow status in the Human Factors and Ergonomics Society (2015). Advising & Grants: As the Principal Investigator of an NSERC CREATE Training program, she has trained over 40 graduate students. Her grants include the NSERC Discovery Accelerator Supplement (2008). Labs & Teams: Founded and led the Centre for Bioengineering and Biotechnology (2012–2019), advancing interdisciplinary research in biomedical and health technologies.

Xin Liuمشاهده پروفایل

استاد مدعو

• Machine Learning
• Cybersecurity
• Network Security
• +۳ مورد دیگر

Xin Liu is an Adjunct Professor in the Department of Civil Engineering at the Faculty of Engineering. His research focuses on cybersecurity, machine learning applications, and IoT security, with a particular emphasis on network intrusion detection, data compression, and risk-aware access control systems. He holds a Ph.D. from the University of Ottawa, Canada, and M.Sc. and B.Sc. degrees from Hebei University of Technology, China. Education: Ph.D., University of Ottawa, Canada M.Sc., Hebei University of Technology, China B.Sc., Hebei University of Technology, China Research Interests: Dr. Liu's work bridges machine learning and cybersecurity, addressing challenges in IoT security, adversarial attacks, and network traffic analysis. His contributions include developing AI-driven intrusion detection systems, optimizing data compression techniques for IoT devices, and formulating risk-aware access control frameworks. Recent efforts focus on advanced persistent threats (APTs) and privacy leakage mitigation in language models. Articles Trends: His publications emphasize practical applications of machine learning in cybersecurity, including network attack detection, privacy-preserving methods, and resilient IoT infrastructure. Recent work highlights innovations in transformer-based models for intrusion detection and realistic benchmarking for APT simulations. Awards: No scientific awards explicitly mentioned in the provided materials. Advising & Grants: No advising records or grant information available in the current data. Labs/Teams: No specific lab affiliations or collaborative teams noted in the profile.

Paria Shiraniمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Vulnerability Research
• +۴ مورد دیگر

Paria Shirani is an Assistant Professor and Tier 2 Canada Research Chair in Cybersecurity at the School of Electrical Engineering and Computer Science (EECS), University of Ottawa. She holds a PhD in Information Systems Engineering from Concordia University (FRQNT Doctoral Scholarship recipient) and completed an NSERC Postdoctoral Fellowship at Carnegie Mellon University (CMU). Her research focuses on cybersecurity, including IoT security, vulnerability detection, malware analysis, threat intelligence, and AI/ML applications. She leads funded projects across undergraduate, master’s, PhD, and postdoctoral levels, emphasizing equity, diversity, and inclusion (EDI). Research Highlights: Develops AI-driven solutions for IoT security and vulnerability detection. Pioneers binary code fingerprinting and firmware analysis techniques. Advances threat intelligence through machine learning and anomaly detection. Key awards include the NSERC Postdoctoral Fellowship, FRQNT Doctoral Scholarship, and the Tier 2 Canada Research Chair. Collaborations involve institutions like Concordia University, Carnegie Mellon University, and IBM’s Cyber Range. She actively serves on editorial boards (e.g., ACM Computing Surveys) and organizes conferences (e.g., SecureComm, PST).

• Plant Systematics
• Biogeography
• Phylogenetics
• +۳ مورد دیگر

Honorary Professor Mike Crisp is affiliated with the School of the Environment at The University of Queensland. His research focuses on plant systematics, biogeography, and evolutionary biology, with a particular emphasis on Australian flora such as Myrtaceae and Leguminosae. He has contributed to taxonomic revisions, phylogenetic studies, and investigations into historical biogeography and conservation genetics. His work often addresses questions of species delimitation, dispersal patterns, and the impacts of environmental factors like fire and climate change. Key research areas include the evolution of eucalypts and other Australian iconic plant groups, the role of biogeographic barriers in shaping diversity, and the application of genomic tools to resolve complex phylogenetic relationships. Collaborations span institutions globally, with frequent co-authorships on studies addressing taxonomic challenges and ecological adaptations. Recent publications highlight work on Myrtaceae phylogeny, Mirbelieae legume systematics, and the impacts of Pleistocene climate shifts on plant distributions. His contributions to plant biodiversity research have advanced understanding of Australia’s unique flora, particularly in the monsoon tropics and arid zones. While no specific awards are listed, his extensive publication record reflects sustained academic impact. His research integrates fieldwork, molecular genetics, and computational methods to address fundamental questions in evolutionary biology and conservation.

Diana Galvan Sosaمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Knowledge Acquisition
• Applications of NLP in Education
• +۳ مورد دیگر

Diana Galvan Sosa is a Researcher at the University of Cambridge, affiliated with the ALTA Institute (Automated Language Teaching and Assessment) and the NLIP group. She holds a doctoral degree in Information Science from Tohoku University (Japan). Her research focuses on Natural Language Processing (NLP), particularly knowledge acquisition and applications of NLP in education, including feedback generation systems for second language (L2) learners. She also contributes to clinical text analysis and hate speech detection research. Education: PhD in Information Science from Tohoku University, Japan. Research Interests: Grammatical Error Correction Educational Technology Clinical NLP Explainability in AI Temporal Relation Extraction Multimodal Reasoning Recent Work Trends: Her most recent publications (2023-2025) emphasize advanced NLP applications like GPT-4 analysis for error correction, hate speech detection leveraging platform guidelines, and evaluation frameworks for AI explanations. Earlier work includes foundational studies on clinical text analysis and addiction treatment populations. Labs/Groups: Active member of the ALTA Institute and NLIP group at Cambridge. Also contributes to open-source projects like the GECToR framework for grammatical error correction, reflected in her GitHub repositories.

AJung Moonمشاهده پروفایل

استادیار

• Human-Robot Interaction
• AI Ethics
• Robot Ethics
• +۴ مورد دیگر

AJung Moon is an Assistant Professor in the Department of Electrical & Computer Engineering at McGill University, Canada. She directs the McGill Responsible Autonomy & Intelligent System Ethics (RAISE) Lab, an interdisciplinary group exploring ethical and societal implications of AI/robotics. Her affiliations include the McGill Centre for Intelligent Machines, Mila, and the Bensadoun School of Retail Management (Faculty of Management). She holds roles in global tech-policy initiatives like the IEEE Global Initiative and the International Panel on Autonomous Weapons Regulation (IPRAW). Her research focuses on human-robot interaction, AI ethics, and governance of autonomous systems. Key interests include ethical design practices, nonverbal communication in HRI, and translating ethics principles into technical workflows. She advocates for inclusive policy design through initiatives like the Open Roboethics Institute. Her recent work emphasizes systemic risk analysis for AI systems, comparative evaluations of ethics frameworks, and sociotechnical harm reduction strategies. Publications address topics ranging from ADAS liability to hesitation gestures in robot collaboration. Moon's lab actively bridges engineering and social science perspectives to advance responsible AI development. Her advisory roles include the UN Digital Cooperation Panel and Canada’s AI Advisory Council (2019-2021). She has pioneered participatory policy frameworks and demonstrated how safety engineering principles can improve AI system accountability.

Mark Leatherمشاهده پروفایل

دانشیار

• Adventure Education
• Outdoor Learning
• Experiential Pedagogies
• +۴ مورد دیگر

Mark Leather is an Associate Professor of Education at Plymouth Marjon University's School of Education, specializing in Adventure Education and Outdoor Learning. He leads the MRes in Outdoor Education program and has extensive experience in diverse education sectors, including secondary education, outdoor centers, and international programs. His research focuses on experiential pedagogies, nature-based learning, and the intersection of play and education. Leather holds an EdD from the University of Exeter, an MSc in Outdoor Education from the University of Edinburgh, and is a Senior Fellow of the Higher Education Academy. He is actively involved in professional bodies like the British Educational Research Association (co-convenor of the Nature, Outdoor Learning, and Play SIG) and the European Institute for Outdoor Adventure Education. His research highlights include studies on place-based education, Forest School critiques, and the role of technology in outdoor learning. Key contributions include the PLaTO-Net framework for outdoor pedagogy terminology and the exploration of hyperreal nature through social media. He regularly presents at international conferences and serves as an external examiner for multiple universities. Leather’s work emphasizes fostering connections between students, educators, and the natural environment, advocating for pedagogical approaches that integrate play, place-responsive teaching, and global environmental challenges.

John Ballمشاهده پروفایل

استاد

• Forestry
• Arboriculture Safety
• Urban Forestry
• +۵ مورد دیگر

John Ball is a Professor at South Dakota State University (SDSU), serving as an SDSU Extension Forestry Specialist and South Dakota Department of Agriculture Forest Health Specialist. He is based at the SDSU campus in Brookings, with an office in Berg Agricultural Hall 314. His work focuses on forestry, urban tree health, and arboricultural safety, addressing challenges such as pest management, environmental stressors, and sustainable landscaping practices. Ball collaborates with governmental and community organizations to enhance forest health and public awareness of tree care. His research spans topics like tree injection systems, road deicing impacts, and invasive species control (e.g., Emerald Ash Borer). He emphasizes practical solutions for urban forestry challenges, including tree selection diversity and flood recovery strategies. Ball’s contributions extend to educational guides (e.g., "Trees!: An Illustrated Field Guide" ), safety protocols for arborists, and industry surveys analyzing occupational hazards. His work bridges academic research, extension outreach, and policy to promote resilient ecosystems and safe arboricultural practices. Ball’s articles reflect a focus on interdisciplinary solutions, blending biology, environmental science, and applied horticulture. His recent work highlights concerns like urban tree overcrowding and the survival mechanisms of pest species in forest ecosystems. He actively engages with the landscape and forestry industries to improve practices through evidence-based recommendations. Despite no explicit mention of awards, his roles in multiple state-level agencies and prolific publication record underscore his leadership in South Dakota’s forestry sector. His advisory efforts likely extend to graduate students, though specific names were not listed in the provided materials.

• Strategic Management
• Entrepreneurship
• Marketing
• +۳ مورد دیگر

Nihar Amoncar is a Senior Lecturer in Strategic Management at the College of Business, Law and Social Sciences. His research focuses on entrepreneurship, cultural business practices, political communication, and social marketing. Key areas include intergenerational succession in Igbo businesses, the role of social media in political discourse, and the entrepreneurial philosophies of communities like the Marwari in India. His work spans qualitative and interpretivist approaches, examining how cultural contexts shape business strategies and market creation. Recent studies highlight frameworks for measuring social marketing success and exploring the interplay between effectuation theory and entrepreneurial marketing. Notable publications include analyses of digital political communication dynamics and transgenerational business legacies. His research often bridges theoretical frameworks with empirical observations, such as interpreting Royal Enfield’s brand revival through a meta-modernist lens. No scientific awards, grants, or formal advisees are listed in the provided data. Research outputs have garnered significant attention, with over 1,080 total views and 790 downloads across his publications.

Giancarlo Crocettiمشاهده پروفایل

استادیار

• Data Science
• Distributed Analytics
• Web Data Mining
• +۲ مورد دیگر

Giancarlo Crocetti is an Assistant Professor in the Department of Computer Science, Mathematics and Science at the Collins College of Professional Studies, St. John's University. His teaching focuses on data science, distributed analytics, and web data mining. He holds a Doctor of Professional Studies (D.P.S.) in Applied Computing from Pace University, along with Master's degrees in Data Mining (Central Connecticut State University) and Computer Science (La Sapienza University, Rome). Education: D.P.S., Applied Computing, Pace University M.S., Data Mining, Central Connecticut State University M.S., Computer Science, La Sapienza University - Rome His research interests span cognitive science and semantic representation of knowledge. Crocetti actively contributes to cutting-edge fields like telemedicine analytics, biomarker development for Parkinson's disease, and ensemble models in histological examination. His work bridges computer science with healthcare applications through innovative data mining techniques. Notable research includes developing algorithms for social conversation analysis in NSCLC patients and creating a think tank simulator for virtual expert consultations. His publications demonstrate expertise in both foundational computer science and applied biomedical informatics.

Herb Schellhornمشاهده پروفایل

استاد

• Bacterial Genetics
• Molecular Microbiology
• Bacterial Stress Response
• +۵ مورد دیگر

Herb Schellhorn is a Professor in the Department of Biology within the Faculty of Science at McMaster University. His research spans fundamental bacterial genetics to applied environmental microbiology, with a particular focus on bacterial adaptation mechanisms and water quality monitoring. Dr. Schellhorn earned his B.Sc. and M.Sc. in Microbiology from the University of Guelph, followed by a Ph.D. in Microbiology from North Carolina State University. His academic background established the foundation for his expertise in bacterial stress response mechanisms and molecular microbiology. His laboratory primarily investigates bacterial genes that help cells adapt to sub-optimal growth conditions, with significant emphasis on the RpoS regulon. Early in his career, he focused on fundamental mechanisms of bacterial gene regulation, oxidative stress response, and DNA repair in Escherichia coli. More recently, his research has expanded to address critical environmental challenges, particularly in recreational water safety and pathogen detection in the Great Lakes region. His work combines DNA microarrays, real-time PCR, reporter fusions, and mass spectrometry with advanced genomic techniques to develop innovative solutions for water quality assessment. Analysis of his recent publications reveals a strategic evolution from pure bacterial physiology toward applied environmental microbiology. While maintaining his core interest in bacterial adaptation mechanisms, approximately 70% of his recent work (2023-2025) focuses on water quality monitoring, microbial source tracking, and recreational water safety. His research demonstrates exceptional methodological diversity, incorporating molecular diagnostics, metagenomics, and computational approaches to address public health challenges. Development of novel molecular methods for rapid water quality assessment Application of genomic technologies to environmental monitoring Investigation of bacterial adaptation in natural aquatic environments Creation of same-day testing protocols for recreational water safety Characterization of microbial communities in freshwater ecosystems Dr. Schellhorn actively contributes to teaching at McMaster University, instructing courses including Medical Microbiology (MOLBIOL 6P03 and 4P03), Introductory Biology (BIOLOGY 1P03), and Techniques in Molecular Genetics (MOLBIOL 3V03). His teaching reflects his research expertise, bridging theoretical knowledge with practical laboratory skills in molecular biology and microbiology. His laboratory serves as a training ground for students interested in both fundamental bacterial physiology and applied environmental microbiology.

Francesco Baldiniمشاهده پروفایل

مدرس ارشد

• Medical Entomology
• Vector Biology
• Malaria Research
• +۳ مورد دیگر

Dr. Francesco Baldini is a Senior Lecturer at the University of Glasgow, coordinating the Vector Biology and Disease Group within the School of Biodiversity, One Health and Veterinary Medicine. He holds affiliations with the Ifakara Health Institute and contributes to the VectorsGlasgow initiative. His research focuses on malaria vector biology, with expertise in mosquito ecology, insecticide resistance, and innovative surveillance tools using spectroscopy and AI. He completed a PhD in Medical Entomology across Harvard University, Perugia University, and Imperial College London. Key research areas include developing non-invasive diagnostic methods (mid-infrared/quantum spectroscopy), understanding vector population genetics, and exploring biocontrol strategies. His work bridges field studies in Africa with lab-based molecular analyses. Recent projects emphasize insecticide resistance in Anopheles species, cryptic taxa discovery, and age-grading techniques. Grant support includes Bill and Melinda Gates Foundation funding for malaria vector surveillance, and collaborations with global health institutions. Supervised PhD topics include AI-driven mosquito analysis, tsetse fly trypanosomiasis surveillance, and avian malaria epidemiology. Scientific awards include an AXA ISSF Fellowship (2015–2017) and an Academy of Medical Sciences award (2022–2024). Key publications address genomic studies of Anopheles funestus, quantum cascade laser spectrometry, and Wolbachia symbiont impacts on vector competence.