Find Academic Supervisors

• Older People's Medicine
• Geriatric Medicine
• Diabetes in the Elderly
• +7 more

Katharina Mattishent is a Clinical Lecturer in Older People's Medicine at Norwich Medical School, University of East Anglia (UEA). She is also a member of the Norwich Epidemiology Centre and contributes to Health Promotion research. Her academic and clinical work focuses on the challenges of managing diabetes in older adults, particularly those with comorbid dementia, and the risks associated with hypoglycaemia. Her research interests lie at the intersection of geriatric medicine, endocrinology, and pharmacology. Key areas include: Hypoglycaemia detection and prevention in elderly patients with diabetes Use of continuous glucose monitoring (CGM) in cognitively impaired populations Medication safety and adverse events in older adults Evaluation of specialized healthcare services such as Older People's Emergency Departments Evidence synthesis through meta-analyses and systematic reviews The recent article trends indicate a strong focus on patient safety, individualized treatment goals, and the evaluation of clinical interventions for older populations. Her work frequently appears in high-impact journals such as Frontiers in Endocrinology and the British Journal of Clinical Pharmacology , and has influenced clinical thinking and guidelines. Dr. Mattishent has secured research funding from reputable organizations including: Alzheimer's Society : For a project on hypoglycaemia and serious adverse events in older people with dementia and diabetes (2017–2020) Norfolk and Norwich Diabetes Trust : For a study on hypoglycaemia in older diabetic patients with falls or dizziness using CGM (2022–2024) She collaborates with leading researchers such as Professor Y. K. Loke, C. Fox, J. Potter, G. Savva, and K. Richardson. Her publications have been cited in clinical guidelines and picked up by multiple news outlets, indicating translational impact. She also engages in academic discourse through commentaries and debates in peer-reviewed journals. Dr. Mattishent is actively involved in research teams focused on aging, diabetes, and emergency care for older adults. Her work contributes to both epidemiological understanding and direct clinical applications in geriatric medicine.

Jeffrey DingView profile

Assistant Professor

• International Relations
• Political Economy of Innovation
• Great Power Competition
• +3 more

Jeffrey Ding is an Assistant Professor of Political Science at George Washington University, affiliated with the Department of Political Science. His research examines the intersection of emerging technologies, international security, and great power dynamics. Previously, he held a postdoctoral fellowship at Stanford’s Center for International Security and Cooperation and was a Rhodes Scholar at Oxford University, where he earned his Ph.D. in International Relations. His research interests include the political economy of innovation, China’s technological capabilities, and the global governance of artificial intelligence. He is particularly known for analyzing how technological diffusion shapes economic competition between nations, as detailed in his 2024 book Technology and the Rise of Great Powers (Princeton University Press). Jeffrey Ding founded the ChinAI newsletter, reaching 17,000+ subscribers with translations of Chinese AI policy discussions. He has provided testimony to U.S. Senate committees and the U.S.-China Economic and Security Review Commission on topics like AI’s national security implications and China’s workforce training challenges. His work bridges academic research with policy engagement, addressing critical questions about technology’s role in global power shifts. His academic contributions span peer-reviewed journals such as European Journal of International Security , Review of International Political Economy , and Security Studies , covering topics ranging from nuclear safety cooperation to military accidents caused by software flaws. His teaching focuses on research methods and the politics of China’s innovation system, reflecting his commitment to training the next generation of scholars in technology-politics intersections.

• Robotics
• Computer Vision
• Industrial Automation
• +4 more

Oleksandr Semeniuta is an active researcher specializing in robotics, computer vision, and industrial automation systems. His work demonstrates consistent contributions to the field with publications spanning from 2015 to 2022, indicating ongoing academic or research activity. His collaborations with researchers like Petter Falkman across multiple publications suggest established research partnerships in the robotics domain. Dr. Semeniuta's research interests center around practical applications of robotics and computer vision in industrial settings. His work encompasses event-driven architectures for data processing and robot control, stereo calibration methods for 3D reconstruction, and resource-aware machine learning for IoT security. His research shows a strong focus on developing practical frameworks and systems that address real-world challenges in manufacturing and industrial automation. The publication trends reveal a consistent focus on robotics systems engineering, with particular emphasis on vision-based solutions and event-driven architectures. His work bridges theoretical computer vision concepts with practical industrial applications, especially in automotive manufacturing and robotic deburring systems. The research demonstrates progression from foundational work on dataflow programming for vision systems to more complex implementations of machine learning on edge devices for security applications. While specific awards are not documented in the available publication records, the consistent output in reputable venues including IEEE conferences and PeerJ Computer Science indicates recognition within the academic community. His work appears in both journal and conference publications, suggesting a balanced approach to disseminating research findings through different academic channels. Dr. Semeniuta's collaborative network includes researchers from various institutions, with Petter Falkman appearing as a frequent co-author across multiple projects. This suggests participation in research teams focused on industrial robotics and computer vision applications. His work on frameworks like EPypes indicates contributions to software infrastructure that enables more efficient development of robotic systems and data processing pipelines.

Vania BRINOView profile

Professor

• Labor Law
• International Labor Law
• Sustainability and Workers' Rights
• +5 more

Vania BRINO is a Full Professor in the Department of Economics at Ca' Foscari University of Venice, where she serves as Director of the Master's Degree in Labor and Social Security Law. Her academic home is within the Department of Economics, with additional affiliation at the Interdepartmental Center for Economics, Languages and Entrepreneurship for International Exchanges based in Treviso. Scientific Disciplinary Sector: Labor Law [GIUR-04/A] Related Sector: Labor Law [IUS/07] Location: San Giobbe Campus, Venice Professor Brino's research focuses on the intersection of labor law with globalization, sustainability, and digital transformation. Her work examines how international labor standards interact with corporate governance structures, global value chains, and emerging digital workplace technologies. She investigates the evolving relationship between workers' rights and corporate accountability frameworks, particularly in transnational contexts where traditional national labor regulation faces significant challenges. Her research output shows a clear progression toward examining sustainability frameworks, corporate due diligence obligations, and the digital transformation of work. The recent publications indicate a strong focus on how European and international regulatory frameworks are evolving to address corporate responsibility for labor rights across global supply chains. Editorial Board Member of 'Lavoro e Diritto' (2008-present) Member of Scientific Committee of 'Ricerche giuridiche' (2014-2019) Editorial Board Member of 'Economia e Società regionale' (2014-present) Review Committee Member of 'Rivista italiana di diritto del lavoro' (2017-present) Professor Brino has led and participated in numerous research projects funded by MIUR, the Veneto Region, and the European Commission, with a particular emphasis on global value chains, transnational labor governance, and sustainable corporate models. Her current research examines the implications of emerging corporate due diligence frameworks for workers' rights protection across international supply chains.

Manuel Gil PérezView profile

Associate Professor

• Cybersecurity
• Intrusion Detection Systems
• Trust Management
• +7 more

Manuel Gil Pérez is an Associate Professor in the Department of Information and Communication Engineering at the University of Murcia, Spain. His research focuses on cybersecurity, intrusion detection systems, trust management, and privacy-preserving data sharing in dynamic scenarios. University of Murcia (Faculty of Computer Science) Researcher in EU H2020/FP7 projects Key research areas include: Cyber deception frameworks for threat actor profiling Trust management in 5G/6G networks Decentralized federated learning security Privacy-preserving healthcare data systems Context-aware security mechanisms Recent publication trends highlight: Integration of knowledge graphs for threat analysis Moving target defense in distributed systems Standardization of trust frameworks for next-gen networks Adaptive risk assessment models Scientific contributions include: Design of antifragile deception systems Development of Fedstellar DFL platform Pre-standardization of reputation-based trust models Hardware fingerprinting for IoT security

Jose Maria Jorquera ValeroView profile

Researcher

• Computer Science
• Artificial Intelligence
• Information Engineering
• +3 more

Jose Maria Jorquera Valero is a Doctoral Researcher in the Department of Information and Communication Engineering at the Faculty of Informatics, University of Murcia. His work focuses on cross-domain trust management systems for next-generation networks. Doctorate: Cross-domain reputation-based trust management for beyond 5G scenarios (2023) Advisors: Dr. Manuel Gil Pérez, Dr. Gregorio Martínez Pérez His research interests span computer science and artificial intelligence , with particular emphasis on: 5G network security Trust management frameworks Reputation system design Intelligent systems Telematics applications He belongs to the Intelligent Systems and Telematics research group at the Faculty of Informatics.

• Cybersecurity
• Drone/UAV Security
• Wireless Network Security
• +6 more

Ahmad Y. Javaid is an Assistant Professor in the Electrical Engineering and Computer Science Department within the College of Engineering at The University of Toledo. He serves as the founding director of the Paul A. Hotmer Cybersecurity and Teaming Research (CSTAR) lab and holds the position of Cyber Education and Cyber Threat Mitigation Faculty Fellow. Dr. Javaid received his B.Tech. (Hons.) Degree in Computer Engineering from Aligarh Muslim University, India in 2008 and his Ph.D. from The University of Toledo in 2015, where he was awarded the prestigious University Fellowship Award. Prior to joining the University of Toledo faculty, he worked for two years as a Scientist Fellow in the Ministry of Science & Technology, Government of India. Dr. Javaid's research spans multiple domains within cybersecurity and human-machine interaction. His primary expertise lies in cyber security of drone networks, smartphones, and wireless sensor networks. He has conducted extensive research on human-machine teams and applications of AI and machine learning to attack detection and mitigation. His work bridges theoretical security frameworks with practical implementations across various domains including UAV security, physical layer communications security, and multimodal human-computer interaction systems. His recent publications demonstrate a continued expansion into nuclear-renewable energy systems security and advanced cybersecurity education frameworks for K-12 students. Dr. Javaid has secured significant research funding, with collaborative proposals totaling $9.7M (including all partners along with UToledo), of which $1.4M has been allocated specifically to him. Approximately $4.1M has been allocated to the University of Toledo from these projects. His research has been funded by prestigious agencies including the NSF, AFRL, NASA-JPL, Department of Energy, and the State of Ohio. He has also played a critical role in cultivating private gifts to support the CSTAR lab. IEEE Graduate Student Member (2012) IEEE Member (2015) IEEE Senior Member (2019) University Fellowship Award As an educator, Dr. Javaid has developed innovative cybersecurity curriculum modules and educational tools. He has served as a reviewer for high-impact journals and as a member of technical program committees for reputed conferences. His work extends to cybersecurity education initiatives targeting K-12 students, with projects focused on developing interactive learning modules to improve cybersecurity awareness at the high school level. He has published more than 85 peer-reviewed publications across journals, conferences, and posters, demonstrating consistent scholarly productivity with significant output in recent years. Dr. Javaid leads the Paul A. Hotmer Cybersecurity and Teaming Research (CSTAR) lab, which focuses on cutting-edge research in cybersecurity, particularly in the areas of UAV security, physical layer security, and human-machine teaming. The lab has received support from both government agencies and private sources, enabling the development of novel security frameworks and educational tools. His interdisciplinary approach bridges computer science, electrical engineering, cybersecurity, and human factors research, making significant impacts in both academic and practical cybersecurity domains.

• Service Supply Chains
• Distribution Channels Management
• Industrial Marketing Management
• +2 more

Öznur Yurt is a Professor at Izmir University of Economics in the Department of Logistics Management. She also holds a concurrent academic position at The Open University (UK), teaching supply chain and operations management. Previously, she served as faculty at the University of Roehampton and the University of Liverpool. She earned two doctoral degrees: one in Marketing and Logistics Management from Izmir University of Economics (2007) and another in Logistics Management from the University of Miskolc, Hungary. Her professional background includes industry experience as a Marketing Specialist at Akbank. Her research focuses on service supply chains , distribution channels management , industrial marketing , purchasing management , and food supply chains . She has conducted postdoctoral research at Cranfield University's Supply Chain Research Centre and Plymouth University's International Maritime and Logistics Centre. Yurt's recent publications emphasize supply chain resilience (particularly during COVID-19), service modularization in e-commerce and education, humanitarian logistics innovation , and sustainability in emerging markets. Her work consistently addresses operational strategies for complex, multi-stakeholder environments.

Liu ChunView profile

Associate Professor

• Capital Markets
• Financial Measurement
• Risk Management

Liu Chun is an Associate Professor in the Department of Finance at Tsinghua University's School of Economics and Management. He holds a PhD from the University of Toronto (2002-2007), a Master's (1999-2001) and Bachelor's (1995-1999) in Economics and Management from Tsinghua University. His research focuses on capital markets, financial measurement, and risk management. Professor Liu teaches courses including Intermediate Financial Theory, Financial Data Analysis, and Financial Practice Classes. His research explores diverse aspects of China's financial system including local government financing, SME credit access, investor behavior, and market microstructure. Recent work analyzes policy impacts using advanced econometric methods like Bayesian latent variable models and survival analysis. His publications predominantly appear in finance and economics journals, with thematic concentrations in: Chinese financial market dynamics Behavioral finance and investor decision-making Policy evaluation and regional development Financial econometrics and statistical modeling Market microstructure and volatility analysis Fintech innovations and digital finance Professor Liu maintains research collaborations across departments and supervises projects on financial infrastructure development. His office is located in Room B310 of Tsinghua University's Lihua Building in Beijing.

Eunbin ChungView profile

Associate Professor

• International Relations
• Political Psychology
• International Security
• +9 more

Dr. Eunbin Chung is an Associate Professor of Political Science at the University of Utah , with upcoming affiliation as a Visiting Scholar at Harvard University (2025-2026). Her research bridges International Relations , Political Psychology , and Behavioral Decision-Making through experimental and fieldwork approaches. Key Research Interests: International Security and Conflict Resolution National Identity and Reconciliation Political Psychology of Group Conflict Experimental Methods in Global Politics Pandemic Governance and Policy Feedback East Asian Regional Dynamics Notable Contributions appear in journals such as Political Research Quarterly , PLoS ONE , and Nationalities Papers , alongside her monograph Pride, Not Prejudice (University of Michigan Press, 2022), which challenges universalist approaches to international cooperation. Her work has been supported by grants from the Korea Foundation , Japan Foundation , and NSF preparation programs . Scientific Awards & Recognitions: 2022 American Library Association CHOICE Outstanding Academic Title 2023 University of Utah Francis D. Wormuth Award 2022 The Korea Society Emerging Scholar APSA Best Dissertation in Political Psychology International Leadership Scholarship (2015) Teaching Philosophy emphasizes experiential learning through foreign policy simulations and cross-cultural experiments. She has taught courses ranging from PhD-level Political Psychology to undergraduate classes on East Asian International Relations , with documented exceptional student evaluations.

David JelencView profile

Senior Lecturer

• Computational Trust
• Reputation Systems
• Agent-Based Simulations
• +5 more

David Jelenc is a Senior Lecturer at the Faculty of Computer and Information Science, University of Ljubljana, affiliated with the Laboratory for e-media. His research focuses on computational trust and reputation models, agent-based simulations, and information security. Electronic Business Information Security and Privacy Web Technologies Data Security Scientific Contributions: His work addresses trust management in distributed systems, security protocols, and resilience in communication infrastructures through projects like SALUS and RECODIS. Outstanding research award among PhD students at Faculty of Computer and Information Science (2013) Research Trends: Publications reveal a consistent focus on trust model evaluation, ordinal data aggregation, and simulation frameworks for security applications. Laboratory Affiliation: Active member of the Laboratory of e-media, contributing to projects in ubiquitous computing and cybersecurity.

C. (Chrysa) PapagianniView profile

Assistant Professor

• Network Softwarization
• Software-Defined Networking
• Network Slicing
• +7 more

Dr. C. (Chrysa) Papagianni is an Assistant Professor at the Informatics Institute within the Faculty of Science, Mathematics and Computer Science at the University of Amsterdam . She holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens and has held academic and research positions at institutions including the University of Maryland, Hellenic Open University, and Nokia Bell Labs (Belgium). Ph.D., Electrical and Computer Engineering, NTUA (2009) M.Sc., Information Systems (2017-2019), Hellenic Open University Her research focuses on network softwarization , SDN , network slicing , and AI/ML-driven network intelligence for next-generation networks. Recent work explores machine learning for resource allocation , programmable data planes , and intent-based networking . Her publications span journals like IEEE Transactions on Network and Service Management and conferences including IEEE ICC and IEEE CoNEXT . Key projects include NSF FABRIC , H2020 FED4FIRE+ , and 5Growth platform development. She contributes to technical standards in edge computing and cloud-native networks via 5GPPP white papers.

Ryan PowersView profile

Associate Professor

• International Political Economy
• International Relations
• Political Cooperation and Conflict
• +2 more

Ryan Powers is an Associate Professor of International Affairs and Director of the Benson-Bertsch Center for International Trade and Security at the University of Georgia’s School of Public and International Affairs (SPIA) . His research bridges international political economy and public opinion, focusing on how domestic actors influence global cooperation and conflict. Previously, he held a post-doctoral position at Yale University’s Leitner Program and earned a Ph.D. in Political Science from the University of Wisconsin–Madison (2017). His research interests center on the political economy of international cooperation , public opinion in foreign policy , and experimental methods in international relations . He has published extensively in top journals like American Journal of Political Science and International Organization , with recent work on reputational dynamics , judicialization of compliance , and gender gaps in academic recognition . Scientific Awards : Department of International Affairs Award for Teaching Excellence (2022) School of Public and International Affairs Research Award (2023) Nominated for UGA Early Career Scholar Award (2024) He has secured research grants from the Carnegie Corporation of New York , National Science Foundation , and Stanton Foundation . His teaching includes graduate courses on experiments in international relations and undergraduate courses on international political economy.

Regina ConnollyView profile

Professor

• Information Systems
• Public Sector Digital Transformation
• E-Government
• +4 more

Professor Regina Connolly is a Professor of Information Systems at Dublin City University Business School, specializing in Public Sector digital transformation. She previously served as Deputy Vice-President for Research & Innovation and directed the award-winning Masters in Electronic Commerce programme through two EPAS accreditations. Her educational background includes a PhD in Information Systems from Trinity College, Dublin, complemented by visiting positions at Oxford University (2009-2010) and H.E.C European Business School, Paris. Her research spans Information Systems , Public Sector Digital Transformation , and Health Informatics , with seminal work on e-government transparency, pandemic-era privacy, and mobile health adoption. Published in top journals like Management Information Systems Quarterly and Government Information Quarterly , her studies address societal impacts of digital technologies in government and healthcare. Recent publications (2018-2022) reveal a critical focus on digital challenges during global crises, emphasizing privacy concerns, health technology equity, and e-government accountability through methodologies like fsQCA and cross-national surveys. Her accolades include: Government Information Quarterly's Best Research Paper award Villanova University Research Excellence Award of Merit Multiple Best Paper Awards DCU President’s Award for Research Impact (2019) Lero Research Diversity and Inclusion Award (2019) Professor Connolly has secured over €25 million in research funding, primarily through EU H2020 grants: 2020: €5,900,000 2019: €2,785,000 2016: €4,500,000 2015: €3,760,000 2014: €4,899,080 and €3,380,000 Additional funding comes from industry and the Irish Research Council. She serves as Editor-in-Chief of the Journal of Internet Commerce and advises government bodies including the Medical Council of Ireland. She leads international research teams across computer science, public administration, and healthcare sectors, with ongoing projects focused on digital inclusion and health technology assessment.

• Blockchain technologies
• Quantum Computing
• Artificial Intelligence
• +7 more

Dr. Ernestas Filatovas is a Senior Researcher and Chief Researcher in the Project at Vilnius University's Institute of Data Science and Digital Technologies (formerly Institute of Mathematics and Informatics), where he has been affiliated since 2013. He leads the Blockchain and Quantum Technologies Group, focusing on cutting-edge research at the intersection of quantum computing, blockchain, and artificial intelligence. Previously, he served as an Associate Professor and Lecturer at Vilnius Gediminas Technical University's Faculty of Fundamental Sciences from 2013 to 2019. Dr. Filatovas earned his Doctor of Technology in Computer Science Engineering from Vilnius University Institute of Mathematics and Informatics in 2012. His dissertation, supervised by Prof. Dr. Olga Kurasova, focused on the interactive solution of multi-criteria optimization problems. His research spans multiple high-impact domains, with particular expertise in blockchain technologies, quantum computing, artificial intelligence, and machine learning. He has pioneered work in quantum blockchain implementations, reproducibility of AI research through blockchain verification, and quantum machine learning applications. His research bridges theoretical computer science with practical applications in financial markets, healthcare, and distributed systems. His extensive publication record—over 50 scientific papers, with more than 25 in Clarivate Analytics-indexed journals—demonstrates consistent productivity and international collaboration. Recent work shows a clear trajectory toward quantum-enhanced AI systems, blockchain-based research verification frameworks, and quantum algorithms for practical problems. Laureate of the 4th LMA Young Scientists' Conference (2014) INFOBALT scholarship 2nd place winner (2014) Lithuanian State Science and Studies Foundation funding recipient (2009, 2010) Recognized as one of Lithuania's most active doctoral students Master's degree with honors (2006) Dr. Filatovas leads multiple significant research projects, including the 2021-2024 project 'Solving the problems of reproducibility of scientific research in the field of artificial intelligence using blockchain technologies' as team leader, and the 2023-2027 project 'Development and validation of quantum machine learning methods using prepared datasets' as Chief Researcher. He has also contributed to international collaborations such as the Spanish-funded 'High Performance Solutions for Modern Scientific Computing Challenges' (2019-2021). His popular science contributions, including the VU news portal article 'Quantum Computing: Who and Why?', demonstrate his commitment to science communication. As a key member of Vilnius University's Blockchain and Quantum Technologies Group, Dr. Filatovas contributes to Lithuania's growing reputation in quantum computing research and blockchain innovation, working closely with international collaborators across Europe.