Find Academic Supervisors

• Statistics
• Data Mining
• Machine Learning
• +3 more

Hugo Alonso is an Associate Professor at Universidade Lusófona and holds concurrent appointments as Invited Assistant Professor in the Department of Mathematics at the University of Aveiro and Researcher at the Center for Research & Development in Mathematics and Applications (CIDMA). His academic foundation includes a Licenciate in Mathematics Applied to Technology (2002) and PhD in Applied Mathematics (2008), both from the University of Porto, where he received the best graduating student award. His research program spans: Core methodologies: Statistical analysis, data mining, and machine learning techniques Applied domains: Dynamical systems analysis, system identification, and control theory Emerging applications: Consumer behavior modeling, economic forecasting, and biomedical systems Analysis of his publication history reveals an evolution from foundational work in neural networks and control systems (2007-2015) toward contemporary applications in economics and consumer behavior (2020-present), demonstrating adaptability across disciplinary boundaries while maintaining mathematical rigor. His scholarly contributions have been recognized with: Top Teacher Award 2023 from Universidade Lusófona Best graduating student award in Mathematics Applied to Technology (2002) As an active peer reviewer, he has evaluated submissions for prestigious journals including IEEE Transactions on Automatic Control, Neurocomputing, and Computer Methods and Programs in Biomedicine. His research is conducted through CIDMA at the University of Aveiro, focusing on interdisciplinary applications of mathematical modeling.

• Social Media Addiction
• Personality Psychology
• Mental Health
• +9 more

Dr. hab. Agata Błachnio, Professor at the John Paul II Catholic University of Lublin, specializes in the Psychology of Emotions and Motivation within the Faculty of Social Sciences. Her research focuses on social media addiction, digital behavior, personality psychology, and mental health, with a cross-cultural perspective across 20+ countries. Research Interests: Behavioral addictions, psychosocial outcomes of personality traits, emotion regulation, time perspective, and psychological mediators in digital behavior. Projects: Led NCN-funded studies on Facebook intrusion and mobile phone addiction, including cross-cultural analyses and health implications. Article Trends: Recent work examines the interplay between narcissism, cyberbullying, phubbing behavior, and depression, with methodological innovations in psychometric validation across diverse populations. Methodology: Utilizes longitudinal studies, cross-sectional surveys, and comparative analyses, often integrating behavioral data with psychological assessment tools.

Amy M. KimView profile

Professor

• Transportation Systems Analysis
• Multimodal Networks
• Transportation Infrastructure Planning
• +5 more

Dr. Amy M. Kim is a Professor of Transportation Engineering and Co-Director of URSY at the University of British Columbia (UBC), within the Faculty of Applied Science. She leads research in transportation systems analysis, focusing on multimodal networks, infrastructure planning under climate change, and resource allocation strategies. Her work integrates disciplines such as civil engineering, environmental science, and decision-making frameworks to enhance system adaptability and resilience. Dr. Kim holds a BASc from the University of Waterloo, and MS/PhD degrees from UC Berkeley. She previously taught at the University of Alberta and worked in engineering consulting before joining UBC in 2021. Her research emphasizes wildfire evacuation planning, winter road infrastructure resilience, and airport leakage dynamics. She was awarded the 2022 UBC Killam Accelerator Research Fellowship for her contributions. Her research interests span transportation infrastructure adaptation, air-ground system integration, and optimization under climate uncertainty. Courses taught include CIVL 340 (Transportation Engineering I), CIVL 440 (Transportation Engineering II), and CIVL 586 (Urban Transportation System Analysis). Her Mobility Lab at UBC explores topics such as disaster response logistics, supply-demand modeling, and multi-criteria decision analysis. Key publications focus on highway recovery post-disasters, subarctic traffic patterns, wildfire evacuation networks, and climate-driven infrastructure decisions. She collaborates widely on projects like the Mackenzie Valley Highway resilience assessment and winter road prioritization frameworks in Canada.

Vassilis PapakostopoulosView profile

Assistant Professor

• Ergonomics
• Cognitive Science
• Human Factors Engineering
• +4 more

Vassilis Papakostopoulos is an Assistant Professor at the Department of Product and Systems Design Engineering, University of the Aegean, specializing in Ergonomics. His academic background includes a PhD in Cognitive Psychology (Panteion University, 2008), MSc in Ergonomics (Loughborough University, 1998), and BSc in Psychology (University of Crete, 1996). He has extensive research experience in driver behavior analysis, human-robot interaction, and workplace design. His research focuses on visual perception, motor coordination, and ergonomics applications in transportation systems. Key areas include advanced driver assistance systems (ADAS), human factors in autonomous vehicles, and safety in urban environments. He has contributed to major EU-funded projects such as interACT, ASK-IT, and PReVENT, addressing challenges in traffic safety and human-machine interaction. Teaching responsibilities include undergraduate and graduate courses on ergonomics, user-centered design, and product development. He has published over 20 peer-reviewed articles, emphasizing holistic approaches to driver behavior analysis and interdisciplinary ergonomics applications. As Greece’s representative in the Centre for Registration of European Ergonomists (CREE), he promotes professional standards in ergonomics practice. Recent research trends include autonomous vehicle interactions, motorcycle safety, and organizational policies affecting risky driving behaviors. His work bridges historical ergonomic principles (e.g., ancient Athenian court design) with modern challenges in smart city infrastructure and human-robot collaboration.

Sergio BatistaView profile

Assistant Professor

• Transportation Systems
• Traffic Engineering
• Network Modelling
• +5 more

Sergio Batista is an Assistant Professor in the Department of Civil and Environmental Engineering at Imperial College London, Faculty of Engineering. His research focuses on dynamic modelling of multi-modal transportation systems, traffic flow models, network equilibrium, and travel behavior. He serves on the Scientific Committees of major transportation conferences such as MT-ITS, TRISTAN, and hEART, and reviews for top-tier journals. He holds a PhD in Civil Engineering from the University of Lyon (2018), with prior degrees in Physics and Applied Mathematics from the University of Porto. His work bridges advanced mathematics with urban mobility challenges, including decarbonization and aging population mobility. Education: PhD in Civil Engineering (Transportation), University of Lyon, 2015-2018 Master's and Undergraduate Studies in Physics and Applied Mathematics, University of Porto, Portugal Research Interests: Dynamic traffic assignment, aggregated traffic models, macroscopic fundamental diagrams (MFD), urban mobility decarbonization, and mobility solutions for aging populations. His methodologies integrate operational research, variational theory, and Gaussian processes to optimize transportation networks and predict traffic dynamics. Professional Contributions: Developed a dynamic traffic assignment pipeline and heuristic models for mobility patterns. Active in academic service, including conference organization and journal reviewing. Currently seeking PhD students to advance research in multi-modal transportation systems. Labs/Teams: Leads a research group at Imperial College focusing on sustainable urban mobility and advanced traffic modelling techniques.

Stanley LimView profile

Assistant Professor

• AI & Machine Learning
• Consumer Behavior & Trends
• Retail Strategy & Systems
• +6 more

Stanley Lim is an Assistant Professor of Supply Chain Management at Michigan State University (MSU), affiliated with the Eli Broad College of Business and the Evolution and Future of Work Research Initiative. He holds a PhD from the University of Cambridge and three master's degrees from the University of Illinois, Warwick Business School, and National University of Singapore. His research focuses on last-mile supply chains, integrating operations management, marketing, and economics with a particular emphasis on reducing food waste, optimizing delivery networks, and omnichannel retail strategies. Key affiliations include visiting roles at MIT, National University of Singapore, and Singapore Management University, and collaborations with companies like Meijer, Ninja Van, and Unilever. He has received awards such as the 2018 Emerald/EFMD Outstanding Doctoral Research Award, 2025 POMS Emerging Scholar Award, and recognition for USDA-funded research on food supply chain resilience. His work addresses challenges in urban logistics, subscription models, and inventory management. Notable grants include a $650k USDA grant for food supply chain disruption strategies. Lim serves on editorial boards for Manufacturing & Service Operations Management and Journal of Business Logistics , and frequently contributes to media discussions on retail and logistics trends in outlets like Harvard Business Review and Detroit Free Press .

• Socio-economic geography
• Transport geography
• Rail transport infrastructure
• +5 more

Karol Wiktor Kowalczyk is a Lecturer at the Department of Socio-Economic Geography, Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University in Lublin. His research focuses on socio-economic and transport geography, particularly rail transport infrastructure, border impacts on international networks, time-space compression, and GIS applications in spatial analysis. PhD in Earth Sciences (Geography) from UMCS (2017) Specializes in railway cartography, modal split analysis, and cross-border transport dynamics Active in projects evaluating transport accessibility and TEN-T corridor development His publications analyze rail transport vulnerabilities, multimodal commuting, and historical railway mapping. He employs methodologies like MAI indicators and dynamic border traffic models to assess Poland's transport evolution. Key trends in his 2024-2015 works include: transnational railroad risks (2024), railway atlas typology (2023), EU border passenger traffic patterns (2022), and 19th-century Polish railway cartography (2020). Co-author on 2020 Asia-Europe Journal paper about Poland's Silk Road hub potential Contributor to accessibility studies with Ministerstwo Infrastruktury i Rozwoju

• Virtual Reality
• Computer Vision
• Human-Computer Interaction
• +4 more

Joe K. Kearney is a Professor in the Department of Computer Science at the University of Iowa and the University of Minnesota. His career spans over three decades, focusing on virtual reality, computer vision, and human-computer interaction research. Key affiliations: University of Iowa (Iowa City, IA, USA), University of Minnesota (Minneapolis, MN, USA) Research domains: Virtual environments, perception-action coupling, motion capture systems, pedestrian behavior simulation Research trends show sustained contributions to immersive visualization , autonomous navigation , and human factors in virtual reality . His 2014-2025 work explores AR-based pedestrian safety systems, while earlier studies (1986-2006) established foundational frameworks for virtual environment simulation and optical flow analysis. Long-term collaborations with Jodie M. Plumert (1986-2021), James F. Cremer (1986-2009), and Pooya Rahimian (2015-2017) demonstrate consistent team research in VR cognition and autonomous systems.

• Cybersecurity
• Cyber-physical systems security
• Social network analysis
• +7 more

Andrey Chechulin is a Professor at the St. Petersburg Federal Research Center of the Russian Academy of Sciences, Institute of Informatics Problems, where he leads research in cybersecurity within the Information Security Department. His work spans over 15 years with more than 80 publications in top-tier security conferences and journals. Dr. Chechulin's primary research interests include cybersecurity, cyber-physical systems security, social network analysis, and bot detection. His work focuses on developing practical methodologies for incident investigation, access control, and vulnerability assessment. He has pioneered approaches for analyzing social media bots, particularly on the VKontakte platform, and developed innovative frameworks for cryptocurrency transaction anomaly detection using neural networks. His publication record shows consistent contributions to major security venues including PDP, COMSNETS, and Sensors, with a notable increase in output since 2018. Recent work demonstrates his adaptation to emerging security challenges in AI-generated content detection and blockchain security. Best Paper Award at PDP 2021 Cybersecurity Research Excellence Award (2019) Dr. Chechulin maintains strong collaborative relationships with Igor V. Kotenko (60 joint publications), Dmitry Levshun, and Maxim Kolomeets. His research often bridges theoretical security concepts with practical implementations for real-world systems, including smart city infrastructure and automotive security applications.

Felix RempeView profile

Researcher

• Mobility Systems
• Machine Learning
• Data Exploration and Analyses Methods
• +1 more

Felix Rempe is a Rudolf Diesel Industry Fellow at the Technical University of Munich Institute for Advanced Study (TUM-IAS) , affiliated with the BMW Group in the field of Autonomous Driving . He holds a PhD in Computational Science and Engineering from TU Munich, awarded summa cum laude in 2018, and an M.Sc. in Mechatronics from DHBW Stuttgart in 2014 with Honours. His research focuses on data-driven approaches to traffic engineering and control , leveraging machine learning and sensor data from vehicles for real-time traffic state estimation and prediction. His work explores the intersection of mobility systems and artificial intelligence , particularly in the domains of traffic flow theory and digital twin development for transportation infrastructure. Felix’s publications highlight advancements in data fusion techniques , deep learning architectures , and statistical modeling applied to autonomous driving and urban mobility challenges. 2018: PhD thesis awarded summa cum laude 2014: M.Sc. with Honours award for completing the Honour’s track at TUM 2012: BayLat grant for study exchange program Latin America

Vladimiro SassoneView profile

Professor

• Cyber Security
• Blockchain
• Internet of Things
• +3 more

Professor Vladimiro Sassone holds the Roke/RAEng Research Chair in Cyber Security at the University of Southampton, where he leads cutting-edge research in secure systems design. As a core member of the Cyber Security Academy, he directs EPSRC and EU-funded projects including IOTEE (trusted execution environments), BlockIT (blockchain for IoT), and HEALTH-I (human-centric IoT security). His work bridges theoretical formal methods with practical security implementations across critical infrastructure domains. His research focuses on cyber security with specialized expertise in blockchain systems , IoT security , formal verification , and hardware security . He develops rigorous methodologies for exception handling in capability-based architectures, scalable network fingerprinting for IoT devices, and security analysis of blockchain consensus protocols. His approach integrates mathematical formalisms with empirical validation to address real-world vulnerabilities in supply chains, smart contracts, and distributed systems. Analysis of his 2021-2025 publications reveals three dominant trajectories: (1) Hardware security advancements through CHERI capability systems and formal exception recovery; (2) Blockchain security innovations in consensus protocol evaluation, smart contract patterns, and Byzantine fault tolerance; (3) IoT security solutions via network fingerprinting and human-centric architectures. His work consistently bridges theoretical formal methods with practical security implementations. Professor Sassone's scientific recognition includes: Fellow of the British Computer Society (FBCS) Member of Academia Europaea (MAE) He currently supervises six PhD candidates across Computer Science and Business Studies, including Max Dylan Hayman (IoT security), Justin Stephen Hempson-Jones (business security applications), and Shuyan Zou (blockchain systems). His research is sustained by major grants including EPSRC's IOTEE (£1.2M), BlockIT (£850K), and EU H2020 SUNFISH (£2.1M), with recent funding focusing on hardware supply chain security and regulatory compliance frameworks. As a principal investigator in the Cyber Security Academy, Sassone leads a multidisciplinary team developing formal verification tools for secure systems. Current initiatives include CHERI capability hardware integration, blockchain consensus scalability frameworks, and serious games for supply chain security training, with industry partnerships spanning Roke, RAEng, and European cybersecurity consortia.

Jennifer TrivediView profile

Assistant Professor

• Disaster Research
• Disaster Recovery
• Disaster Response
• +6 more

Jennifer Trivedi is an Assistant Professor in the Department of Anthropology at the University of Delaware's College of Arts & Sciences, where she also serves as a Core Faculty Member at the Disaster Research Center and holds a Joint Appointment with the Biden School of Public Policy and Administration. Her work bridges anthropology with disaster studies, focusing on the cultural and historical contexts that shape disaster vulnerability, response, and recovery. Education: PhD in Anthropology, University of Iowa (2016) MA in Anthropology, University of Iowa (2007) BA in History, University of Georgia (2004) Dr. Trivedi's research examines disaster vulnerability, response, recovery, resilience, and decision-making within larger historical and cultural contexts. She investigates how pre-disaster processes, history, and perceptions shape disaster impacts and long-term recovery. Her work emphasizes compounding disasters, cultural issues in disaster contexts, challenges for vulnerable populations during disasters, and the temporal aspects of disaster experiences. She employs both long-term ethnographic fieldwork and rapid response methodologies to study disasters across the American Southeast and beyond. Her recent publications reveal a growing focus on the intersection of disasters with contemporary challenges like the COVID-19 pandemic, evacuation behavior analysis using smartphone data, and the specific challenges faced by vulnerable populations during disasters. Her work increasingly examines compound disasters where multiple events interact to create complex recovery landscapes, with particular attention to temporal aspects of disaster experiences and decision-making processes. Dr. Trivedi has secured significant research funding, including NSF grants for projects like 'CRISES: Interdisciplinary Center for the Study of Catastrophic Surprises' and 'Leveraging Massive Smartphone Location Data to Improve Understanding and Prediction of Behavior in Hurricanes.' She also received UD Climate Change Hub and Course Development Grants for revising climate change-related courses. As a Core Faculty Member at the Disaster Research Center, Dr. Trivedi contributes to one of the oldest disaster research centers in the United States. She serves as Social Media Manager for the Risk and Disaster Topical Interest Group in the Society for Applied Anthropology and chairs their Human Rights and Social Justice Committee. She has also been involved in organizing the Natural Hazards Researchers Meeting for 2023-2025.

Soh Keng LinView profile

Senior Lecturer

• Supply Chain Management
• Logistics
• Operations Management
• +7 more

Soh Keng Lin is a Senior Lecturer at the Malaysia School of Business, Monash University. He holds a PhD in Supply Chain Management from Universiti Sains Malaysia (2021), specializing in circular economy, customer involvement, and sustainability. His research focuses on supply chain resilience, logistics optimization, operations management, and lean methodologies. Education: PhD in Supply Chain Management (2019-2021, Universiti Sains Malaysia), with a focus on circular economy and sustainable competitive advantage. Research Interests: Circular Economy, Sustainable Supply Chains, Logistics Innovation, Quality Management, Transportation Systems, and Information Sharing in Supply Chains. He emphasizes transdisciplinary collaboration integrating management theories with practical applications. Recent Work Trends: His publications address Transportation 4.0, pandemic-induced supply chain vulnerabilities, statistical process control (S2-EWMA charts), and behavioral models for public transport adoption. He advocates for technology-driven solutions in logistics and resilience against information leakage. Awards: School of Business Research Seed Grant 2024. Advising & Grants: Supervised/co-supervised 8 students (4 MA, 4 PhD) in topics like third-party logistics, supply chain integration, and public bus systems. Actively participates in grant initiatives and peer-review activities for journals like Sustainability and Processes . Labs/Teams: Engaged in cross-disciplinary research teams focusing on circular economy, transportation systems, and quality management. Collaborates internationally on supply chain resilience and maritime shipping frameworks.

Adeline De MontlaurView profile

Associate Professor

• Computational Fluid Dynamics (CFD)
• Wind Energy
• Air Traffic Management
• +5 more

Adeline De Montlaur is an Associate Professor at the Universitat Politècnica de Catalunya (UPC) within the School of Telecommunications and Aerospace Engineering of Castelldefels (EETAC), affiliated with the Department of Physics. She leads research in numerical methods for fluid dynamics and their applications in renewable energy systems and air traffic management. Her academic career includes a PhD in Aerospace Science and Technology (UPC, 2009), an M.S. in Mechanical and Aerospace Engineering (SUNY Buffalo, 2003), and an Engineering degree from ENSICA (France, 2002). Roles: Academic Staff, Researcher at LACÀN Center for Numerical Methods. Research Interests: High-order CFD methods, wind energy optimization, multiphase flows, air traffic flow management, and planetary atmospheric dynamics. Her work bridges computational methodologies with practical applications, such as optimizing wind turbine efficiency using flow control techniques and analyzing thermally-driven winds on Mars. She has contributed to over 50 publications and projects like the European-funded WOW-CONTROL initiative for turbine optimization. Awards include the 2023 Best Paper Award in Atmospheric Sciences. Key projects include wind resource assessment near hydroelectric dams, delay management strategies in air traffic control, and analytical models for aviation emissions. Adeline collaborates with global institutions and industry partners to advance sustainable energy and transport systems.

• Software Engineering
• Cyber-Physical Systems
• Real-Time Systems
• +4 more

Seung Yeob SHIN is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. He holds a PhD from the University of Massachusetts Amherst (2016), specializing in software engineering with a focus on system modeling and analysis through simulation and model checking frameworks. His work is centered at the Software Verification and Validation (V&V) Lab , led by Prof. Lionel Briand. Research Interests: Software Engineering Methodologies Cyber-Physical Systems Testing Real-Time Systems Analysis AI-Driven Testing Techniques Model Checking & Simulation Key Contributions: Pioneering work on fuzzing techniques for SDN controllers Development of probabilistic WCET estimation methods Advancements in metamorphic testing for CPS Control theory-based stress testing frameworks Publications: Over 30 peer-reviewed articles focusing on testing methodologies for real-time systems, cyber-physical systems, and quantum programming analysis. Recent trends emphasize AI integration in software validation and uncertainty-aware system design. Labs & Teams: Active member of the V&V Lab, collaborating on hardware-in-the-loop testing and embedded system validation projects.