جست‌وجوی استاد و پژوهشگر

Gareth McKayمشاهده پروفایل

دانشیار

• Kidney Research
• Diabetic Complications
• Biomarker Discovery
• +۷ مورد دیگر

Gareth McKay is a Reader at Queen's University Belfast's School of Medicine, Dentistry and Biomedical Sciences, affiliated with the Centre for Public Health. He leads projects using multiomic approaches to study diabetic kidney disease and renal transplant outcomes, integrating genomic, epigenetic, and metabolomic data. He chairs the Data Access Committee for the Northern Ireland Cohort for Longitudinal Ageing (NICOLA) and advises organizations like the Northern Ireland Kidney Research Fund. His research also involves collaborations with institutions in Thailand, Europe, and the Americas. Dr. McKay's teaching spans clinical genetics and bioinformatics modules, having supervised 9 PhD and 5 Master's students. He has held external examiner roles at universities worldwide. His administrative roles include managing the University’s Human Tissue Act license and serving on EU Horizon research panels. His research focuses on biomarkers for microvascular decline in chronic diseases, leveraging UK Biobank and international cohorts. Key interests include nutrigenomics, carotenoid impacts, and socioeconomic factors influencing health outcomes. Notable awards include Fellow of the Higher Education Academy and multiple research grants from the MRC, EU Horizon programs, and Diabetes UK. His 271+ publications span biomarker discovery, AI in healthcare, and systematic reviews on drug efficacy.

Henock Louisمشاهده پروفایل

استاد

• Accounting
• Finance
• Corporate Governance
• +۷ مورد دیگر

Henock Louis is the KPMG Professor and Head of the Accounting Department at the Smeal College of Business, The Pennsylvania State University. He holds dual PhDs in Accounting (Ohio State University, 2001) and Finance (University of Mississippi, 1998), as well as an MBA from Andrews University (1992). His research focuses on accounting standards, financial reporting quality, artificial intelligence applications in accounting, ESG disclosures, and corporate governance. He has received the 2005 Excellence in Research Award from the American Accounting Association Diversity Section. Dr. Louis serves as an editor for The Accounting Review , Accounting Horizons , and International Journal of Accounting , and has held editorial roles across major journals. His work bridges theoretical frameworks (e.g., agency theory) with practical implications in audit quality, revenue recognition (ASC 606), and technology-driven forecasting. Recent research explores AI’s impact on earnings accuracy and ESG reporting trends in global markets. Key contributions include studies on managerial discretion in accruals, post-merger performance dynamics, and the relationship between audit clauses and firm value. His scholarship emphasizes transparency in financial disclosures and regulatory compliance, with implications for investors, auditors, and corporate policymakers.

Jonathan Gammellمشاهده پروفایل

استادیار

• Autonomous Systems and Control
• Robotics
• Artificial Intelligence
• +۴ مورد دیگر

Jonathan Gammell is an Assistant Professor at Queen's University's Department of Electrical and Computer Engineering and a member of the Ingenuity Labs Research Institute. He holds an adjunct fellowship at the Oxford Robotics Institute (University of Oxford), where he previously taught. His expertise spans autonomous systems, robotics, and AI, with a focus on motion planning for diverse applications, including medical devices, self-driving cars, and aerial robotics. He leads the Estimation, Search, and Planning (ESP) group, which develops algorithms for autonomous systems. Educations: BASc in Mechanical Engineering and Physics from the University of Waterloo MASc and PhD in Robotics from the University of Toronto Institute for Aerospace Studies Research Interests: Dr. Gammell's work addresses fundamental motion planning challenges in robotics, emphasizing asymptotically optimal algorithms like BIT*, AIT*, and FCIT*. His research integrates robotics with medical applications (e.g., knee replacement implants) and autonomous systems (e.g., aerial mapping for emergency response). His algorithms are widely adopted in industry and academia, including collaborations with NASA JPL and Oxford orthopaedic surgeons. Publications: His recent work explores advanced motion planning frameworks (e.g., AORRTC, Osprey), multimotion visual odometry (MVO), and medical robotics applications. These contributions highlight his dual focus on theoretical algorithm development and practical, high-impact applications. Awards: CIPPRS Award for Best Canadian PhD Thesis (Medical Imaging/Robotics) NASA Group Achievement Award (2021, 2022) IROS Best Paper Shortlist (2020) Advising & Grants: He advises on projects involving autonomous systems, medical robotics, and AI. His grants support collaborations with industry and academic partners, including NASA JPL and Oxford's robotics and medical teams. The ESP group's open-source tools (e.g., Planner Developer Tools) enable reproducible motion-planning research. Labs/Teams: He leads the ESP research group at Queen's University and collaborates with the Oxford Robotics Institute and Ingenuity Labs, focusing on cutting-edge robotics solutions for real-world challenges.

• Data Governance
• AI Ethics
• Data Protection
• +۴ مورد دیگر

Dr. Rob Brennan is an Assistant Professor in the School of Computer Science at University College Dublin. With 25 years of academic and industry experience, he specializes in data governance, AI ethics, and cybersecurity. His research integrates socio-technical systems analysis, data protection frameworks, and healthcare risk management. He leads the Value and Risk research challenge within the ADAPT Centre's Transparent Digital Governance initiative and coordinates projects like the ARK platform for risk governance. Education: BSc in Physics, Dublin City University MSc, Queen's University Belfast PhD in Governance, Dublin City University Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Data Governance & AI Accountability GDPR Compliance & Privacy Engineering Healthcare Risk Management Knowledge Graphs & Linked Data Cybersecurity & Incident Response Key Contributions: Co-PI of Science Foundation Ireland's Empower Data Governance project Coordinator of the €4M H2020 ALIGNED project on software/data engineering Developed the ARK platform for risk governance in healthcare and cybersecurity Grants & Awards: Best Paper Award at Extended Semantic Web Conference 2023 Principal Investigator for grants including the ARK-Virus platform (SFI-funded) Teaching & Mentorship: Coordinates courses on Cyber Risk Assessment, Incident Response, and Data Protection Supervises PhD students focusing on data governance and AI ethics Co-developed the MA in Data Protection and Privacy Law with Computing Professional Activities: Member of FAccT 2023 Program Committee Co-chair of the Irish Conference on Artificial Intelligence and Cognitive Science Contributor to international standards (OMG, IETF, 3GPP)

Vincenzo Della Meaمشاهده پروفایل

دانشیار

• Medical Informatics
• Digital Pathology
• Biomedical Ontologies
• +۳ مورد دیگر

Vincenzo Della Mea is an Associate Professor of Information Processing Systems at the University of Udine's Department of Mathematical, Computer and Physical Sciences. His research focuses on medical informatics, digital pathology, biomedical ontologies, and AI applications in healthcare. He holds abilitation to full professorship and is a member of the WHO Italian Collaborating Centre for International Classifications (WHO-FIC), ICHI Task Force, and ESDIP's Executive Board. He leads the EU MSCA Doctoral Network BosomShield (2022-2026) and previously managed the AIDPATH Marie Curie project. As an editor for journals like Digital Health and Journal of Pathology Informatics , he bridges academia and practice. Beyond academia, he is a poet with awards, including the Nelle terre dei Pallavicino Prize for his 2004 collection Algoritmi , and organizes interdisciplinary events merging science and literature. Education & Roles : Holds a professorship in Computer Science and teaches courses on web technologies, medical informatics, and AI across multiple degree programs. Previously served as Vice-President of SIBIM (Italian Biomedical Informatics Society). Research Interests : Specializes in digital pathology, medical AI, telemedicine, and standardization of health classifications like ICD-11 and ICF. His work emphasizes ontology harmonization and machine learning for clinical decision support. Recent Contributions : Published on WHO classification harmonization, AI-driven pathology tools, and energy-sector LLM applications. Active in editorial roles and international collaborations, including the HEROHE Challenge for breast cancer analysis. Awards & Recognition : 2023 – Poetry collection Clone 2.0 (neurally generated) 2005 – Nelle terre dei Pallavicino Award Grants & Projects : Led EU-funded projects (AIDPATH, BosomShield) and contributed to initiatives like the ICD-11 Mortality Coding System. Collaborates with institutions like AcegasApsAmga on AI for utilities. Labs & Initiatives : Involved in digital pathology workflow optimization and educational platforms for medical coding and AI ethics.

Nick Naumovمشاهده پروفایل

مدرس ارشد

• Heritage Tourism
• Tourism Geography
• Hospitality Management
• +۴ مورد دیگر

Dr Nick Naumov is a Senior Lecturer in Hospitality & Tourism Management at the University of Northampton, affiliated with the Events, Tourism & Hospitality department within the Centre for Sustainable Business Practices. His research focuses on critical heritage studies, tourism geography, and niche tourism forms, with particular expertise in post-socialist Eastern Europe, cultural heritage interpretation, and hospitality management innovations. He holds a PhD in Human Geography from King's College London, an MSc in International Tourism from the University of Bedfordshire, and an MBA in Tourism Management from Assen Zlatarov University. Education: PhD (2019), MSc (2011), MBA (2009), BSc (2007) Industry Background: Front Office Operations, F&B Management in Bulgaria/UK/USA Research interests span residents' tourism perceptions, sustainable tourism development, service quality, and qualitative methodologies. His work contributes to UN SDGs related to education and sustainable development. He teaches across undergraduate and postgraduate programs, including BA International Tourism Management and MA International Hotel Management. Recent publications explore cultural tourism dynamics, post-pandemic hospitality trends, and the socio-political dimensions of heritage. He collaborates with the Council of Europe on cultural routes initiatives and oversees academic partnerships in Greece, Singapore, Myanmar, and Sri Lanka.

Ivano Bilenchiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Semantic Web
• Internet of Things (IoT)
• +۴ مورد دیگر

Ivano Bilenchi is a postdoctoral researcher at the Polytechnic University of Bari's Information Systems Laboratory (SisInf Lab). He holds a Master's in Computer Science Engineering (2020) and a Ph.D. in Electrical and Information Engineering (2024) from the same institution. His research focuses on AI, Semantic Web technologies, edge computing, and IoT applications, with notable contributions to embedded OWL reasoners and cloud-edge intelligence frameworks. He teaches courses such as Formal Languages and Compilers, Secure Programming, and Information Systems Security. His work bridges academic research with practical applications, including iCleaner (iOS system cleaner), Tiny-ME (Semantic Web reasoner), and AI-LMD (fleet optimization tool). He actively participates in conferences like ICWE and I-CiTies, and has contributed to initiatives like the sustainable development project HowtUyoga. His awards include a First Prize at the Sustainable Development Festival (2018). Research highlights include developing Cowl (lightweight OWL library for edge devices) and proposing innovative architectures for cloud-edge AI in sensor networks. Collaborations span semantic blockchain marketplaces (RideMATCHain) and UAV autonomy using knowledge representation.

Abdul Aliمشاهده پروفایل

مدرس

• Supply Chain Management
• Green Logistics
• Circular Economy
• +۳ مورد دیگر

Abdul Ali is Lecturer in Operations and Supply Chain Management at Northumbria University's London campus. He holds a Ph.D. in Supply Chain Management from the University of Bedfordshire and is a certified Lean Six Sigma Green Belt practitioner. Research Focus: His interdisciplinary work examines: Sustainable supply chain models Green logistics strategies Circular economy implementation Supplier collaboration mechanisms He also researches technology applications including blockchain and AI in supply chain contexts. Recent publications address cybersecurity in cyber-physical systems, multi-objective optimization techniques, and blockchain applications for electoral systems. His research aims to develop resilient and ethical supply chain frameworks.

Swapna Gottipatiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Swapna Gottipati is a Full-time Associate Professor of Information Systems (Education) and Associate Dean (Undergraduate Education) at the School of Computing and Information Systems , Singapore Management University . Holding a PhD from SMU (2014) , she specializes in text analytics, education technology, and digital business. Current focus areas: Artificial Intelligence, Data Science, Technology-Enhanced Learning Interdisciplinary applications: Health Informatics, Social Media Analytics Research Interests span text analytics, opinion mining, curriculum analytics, and digital transformation. She applies machine learning and data mining to educational systems, business processes, and health domains. Scientific Contributions: 2016 Best Paper Award (AIS SIG-ED) 2016 MOE TRF Grant 2017-2020 Conference Best Paper Nominations 2013 Best Paper Finalist (CIKM) Academic Leadership includes: Director of Undergraduate Education Co-developer of SMU-X pedagogy Founder of MyCompetencies mobile platform Organizer of curriculum analytics workshops Grant Projects include the Learning Analytics on Qualitative Student Feedback system (MOE TRF 2016) and ICDL-funded digital literacy studies. She has delivered 12+ invited talks on digital transformation in education and industry.

Oshani Seneviratneمشاهده پروفایل

استادیار

• Decentralized Systems
• Blockchain Technology
• Health Informatics
• +۵ مورد دیگر

Oshani Seneviratne is an Assistant Professor of Computer Science at Rensselaer Polytechnic Institute (RPI), leading the BRAINS Lab. She holds a Ph.D. and S.M. from MIT (Computer Science) and a B.Sc. (Hons) from the University of Moratuwa, Sri Lanka. Her research focuses on decentralized systems, blockchain, health informatics, and federated learning. She previously directed RPI's Health Data Research division. Education Ph.D. in Computer Science, MIT S.M. in Computer Science, MIT B.Sc. (Hons) in Computer Science and Engineering, University of Moratuwa Research Interests Her work bridges decentralized technologies with clinical and financial applications. Key areas include blockchain-based frameworks for federated learning, explainable AI in healthcare, and semantic web technologies for data interoperability. She emphasizes ethical AI, data provenance, and scalable systems for real-world challenges. Recent Work Trends Recent publications highlight advancements in smart contract auditing, LLM applications in financial systems, and blockchain-enhanced data provenance. Her work often combines technical innovation with societal impact, such as improving health data sharing and combating misinformation. Awards & Grants No awards explicitly listed, but her research has been supported by grants related to blockchain, health informatics, and decentralized systems. Advising & Labs Leads the BRAINS Lab, focusing on resilient, intelligent networked systems. Collaborates on projects like the Punya platform for clinical apps and BlockIoT for health data integration. Future Work Expanding into AI explainability for clinical decision support, decentralized mental health monitoring, and blockchain interoperability solutions.

Yazhou Tuمشاهده پروفایل

استادیار

• Cyber-Physical System Security
• Side Channel Analysis
• Sensing and Automation Security
• +۳ مورد دیگر

Yazhou Tu is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University. He specializes in Cyber-Physical System Security, Side Channel Analysis, and Privacy in embedded systems. His work focuses on addressing vulnerabilities in sensors, actuators, and IoT devices to enhance security and privacy in critical systems. Education: Ph.D. Computer Science, University of Louisiana at Lafayette M.S. Software Engineering, Tsinghua University B.S. Software Engineering, Wuhan University Research Interests: Dr. Tu’s research explores cutting-edge topics such as adversarial control of embedded systems, acoustic and magnetic side-channel attacks, and privacy risks in robotic and biomedical systems. He develops novel defense mechanisms like ADC-Bank and Transduction Shield to counteract physical signal injection attacks. Key Contributions: His work spans sensor security, IoT exploitation, and healthcare technology, with notable studies on 3D printer IP theft, vehicle control via smart glasses, and keystroke tracking via audio. He also investigates physics-informed ML for porous media and glucose monitoring systems. Awards & Grants: No specific awards or grants listed in the provided data, but his prolific publication record highlights sustained research excellence. Labs & Collaborations: Engaged in Auburn’s Center for Artificial Intelligence and Cybersecurity Engineering and other interdisciplinary initiatives focused on secure embedded systems and cyber-physical infrastructure.

Carson Leungمشاهده پروفایل

استاد

• Big Data Science
• Data Mining
• Machine Learning
• +۵ مورد دیگر

Dr. Carson Kai-Sang Leung is a Full Professor in Computer Science at the University of Manitoba's Faculty of Science. He founded and directs the Database & Data Mining Lab. His research focuses on big data science, data mining, machine learning, health informatics, and visual analytics. He holds SMIEEE and SMACM fellowships, reflecting his contributions to the field. Education: B.Sc., M.Sc., and Ph.D. from the University of British Columbia (UBC). Research interests include human-centered exploratory data mining, image databases, and scalable algorithms. He emphasizes user-driven constraints in mining processes and has developed techniques like the segment support map and OSSM for optimized frequency counting. His work on subimage queries in large image databases addresses real-world challenges in visual data retrieval. Publications span data mining, healthcare analytics, and transportation systems. His lab collaborates on projects like visual analytics for motor vehicle accidents and environmental data science for smart cities. He is affiliated with institutions such as the Institute of Industrial Mathematical Sciences (IIMS) and TRLabs. Key awards: Senior Member of IEEE (SMIEEE) and Senior Member of ACM (SMACM).

Luke Tredinnickمشاهده پروفایل

دانشیار

• Digital Culture
• Digital History
• Information Theory
• +۷ مورد دیگر

Dr. Luke Tredinnick is a Reader in Media, Information, and Communications at London Metropolitan University, serving as Course Leader for the Media and Communications BSc program. He holds editorial roles for the Sage journal Business Information Review and the Edinburgh University Press journal Journal of Library and Information History . His academic background includes a BA in English and American Literature from the University of Kent, an MSc in Information Science from City University London, and a PhD in Media and Communications from London Metropolitan University. His research focuses on digital culture, digital history, and information theory, with specializations in post-structuralist methodologies and semiotics. Tredinnick has authored three books, including Digital Information Culture (2008) and Digital Information Contexts (2006), and has published widely on topics such as complexity theory, artificial intelligence, information security, and social media. He is a member of the Media, Culture, and Communications Association (MECCSA) and a Fellow of the Higher Education Academy (FHEA). Tredinnick’s recent work examines trends in information warfare, ubiquitous information systems, and the evolving role of technology in business contexts. His contributions to the field span academic publications, editorial leadership, and keynote presentations on digital transformation and ethical information practices.

Chuan Yueمشاهده پروفایل

استاد

• Cybersecurity
• Web Security
• Mobile Security
• +۷ مورد دیگر

Chuan Yue is a Professor of Computer Science at the Colorado School of Mines (Mines), leading research in Cybersecurity with a focus on Web, Mobile, Cloud, CPS/IoT, and AI systems security. He founded the Center for Cyber Security and Privacy (CCSP) at Mines and serves as its point of contact. His research emphasizes usable security, privacy, vulnerability analysis, and cybersecurity education. Education: B.E. and M.E. in Computer Science from Xidian University (China, 1996/1999), Ph.D. in Computer Science from College of William and Mary (2010). Pre-Mines career: Bell Labs (1999-2003) and University of Colorado Colorado Springs (UCCS, 2003-2013). Awards include the Daniels Fund Faculty Fellowship (2016-2019) and an Outstanding Paper Award at CODASPY 2018. Research interests span security/privacy in web-based systems, human-computer interaction, and distributed computing. His work is funded by NSF, DOD, and Meta. Key contributions include PolicyChecker for GDPR compliance analysis, WtaGraph for web tracking detection, and studies on smart home privacy negotiation. Over 50 peer-reviewed publications in top venues like IEEE S&P, CCS, and CHI. Advised numerous PhD, Master’s, and undergraduate researchers, emphasizing interdisciplinary collaboration with industry/government. Developed security tools like LoginInspector (best paper at LISA 2012) and SafeSky cloud middleware.

• Cyber Physical Systems
• Risk/Reliability Analysis
• Deep Learning
• +۳ مورد دیگر

Dr. Saptarshi Sengupta is an Assistant Professor in the Department of Computer Science at San José State University (SJSU), leading the Machine Intelligence and Complex Systems (MICoSys) Lab. He advises the ACM student club at SJSU and holds a 'Alien of Extraordinary Ability' visa (Einstein Visa) from USCIS. His work focuses on resilient cyber-physical systems, risk analysis, and deep learning applications in healthcare and industrial systems. Education: Ph.D. in Electrical Engineering, Vanderbilt University M.S. in Electrical Engineering, Vanderbilt University B.Tech. in Electronics & Communication Engineering, West Bengal University of Technology Research Interests: Cyber-Physical Systems Security Healthcare AI for Cancer and Chronic Disease Prediction Battery Prognostics and Energy Systems Machine Learning for Complex Systems Analysis Key Achievements: Dr. T.M.A. Pai Gold Medal Award for Healthcare AI contributions Recipient of multiple best paper awards at international conferences Author of over 30 peer-reviewed publications Labs & Teams: Leads the MICoSys Lab, developing AI solutions for healthcare diagnostics, industrial prognostics, and smart infrastructure systems. Collaborations include interdisciplinary projects with biomedical and engineering domains.