Find Academic Supervisors

• Urban Remote Sensing
• Geospatial Data Science
• LiDAR Point Cloud Processing
• +5 more

Jonathan Li is a full professor at the University of Waterloo, holding dual appointments in the Department of Geography and Environmental Management and the Department of Systems Design Engineering. His expertise lies in geospatial data science and artificial intelligence, focusing on urban remote sensing, LiDAR point cloud processing, and applications in digital twin cities and autonomous vehicles. He leads research in GeoAI for multi-scale mapping, 3D urban modeling, and environmental monitoring. Dr. Li is a Fellow of multiple prestigious institutions including IEEE, Royal Society of Canada, and Canadian Academy of Engineering. He currently serves as President of the Canadian Institute of Geomatics (CIG) and Editor-in-Chief of the International Journal of Applied Earth Observation and Geoinformation (JAG). His work bridges academic research with practical applications in infrastructure inspection, disaster management, and geospatial software development. Research Interests: Urban remote sensing using multispectral, hyperspectral, and LiDAR data; machine learning for geospatial analysis; GeoAI for environmental monitoring; 3D object detection in mobile mapping systems. His lab focuses on developing innovative software tools for HD mapping and geospatial data analysis. Recent Publications: Over 50 articles in journals like Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, and ISPRS Journal of Photogrammetry. Awards: Multiple fellowships and editorial roles reflect his leadership in geomatics and remote sensing. Grants: Extensive funding for research in AI-driven geospatial solutions. Lab Activities: Prof. Li's research group collaborates with industry on projects involving autonomous vehicle mapping, urban flood modeling, and smart city infrastructure. Their work emphasizes cross-disciplinary collaboration between geomatics, computer science, and civil engineering.

Anna FredrikssonView profile

Professor

• Construction Logistics
• Supply Chain Planning
• Tactical Planning (S&OP)
• +5 more

Anna Fredriksson is a Professor and Deputy Head of Department at Linköping University's Department of Science and Technology (ITN), within the Communications and Transport Systems (KTS) division. Her research focuses on construction logistics, tactical planning, and production transfer, emphasizing sustainable urban development and reducing environmental impacts. She leads the Construction Logistics group and directs doctoral studies at ITN. Her work spans projects like the Vinnova-funded RePlan and Logistikdatalabbet, addressing challenges in construction transport efficiency and circular economy practices. Education & Career PhD in Logistics and Transportation, Chalmers University of Technology (2011) Postdoctoral Researcher, Chalmers University (2011–2014) Senior Lecturer, Linköping University (2014–2017) Associate Professor (2017–2019), then Professor (2019–present), at Linköping University Research Interests Anna's work bridges construction logistics with urban planning, aiming to minimize disruptions and environmental footprints. Key areas include: Optimization of construction material flows (e.g., earth/rock management) Data-driven logistics and digitalization in construction Policy integration for sustainable urban development Grants & Projects IVA 100-listed projects (2023) Funded initiatives: Triple F (Fossilfri Bygglogistik), JPI-Urban (MIMIC/CIVIC), Formas (Störningsfri stad series) FFI (ELECTRA) and InfraSweden 2030 collaborations Labs & Teams She contributes to the Brains & Bricks (B2) Centre for Excellence in Construction Supply Chain Management and collaborates with industry partners on megaproject logistics solutions.

• Edge-Cloud Computing
• Blockchain Technology
• Software-Defined Networking
• +7 more

Dr. Gagangeet Aujla is an Associate Professor in the Department of Computer Science at Durham University and a Fellow of Durham Energy Institute. With over a decade of academic experience, he previously held research positions at Newcastle University, Thapar University (India), and University of Klagenfurt (Austria). His academic journey includes a PhD from Thapar University and undergraduate degrees from Punjab Technical University. His research interests span Edge-Cloud Computing, Blockchain Technology, Software-Defined Networking, Sustainable Computing, Internet of Things, Smart Grid Systems, and Machine Learning . A central theme of his work focuses on data-driven applications including smart cities, smart grids, healthcare systems, and transportation systems with emphasis on energy efficiency, resilience, security, privacy, and intelligence. Dr. Aujla's research has resulted in numerous high-impact publications across leading venues including IEEE Transactions, Elsevier journals, and major conferences like IEEE INFOCOM and GLOBECOM. His work demonstrates strong trends in sustainable computing, blockchain applications across domains, and software-defined networking solutions for smart environments. IEEE TCSC Award for Excellence in Scalable Computing (ECR) 2022 IEEE TEMS TC on Blockchain Early-Career Award (Runner-up) 2022 2018 IEEE TCSC Outstanding PhD Dissertation Award 2021 IEEE Systems Journal Best Paper Award TIET Best Paper Award Dr. Aujla leads multiple significant research projects funded by EPSRC, UKRI, and international agencies totaling over £23 million, including the National Edge AI Hub for Real Data (£10.2M) and CHEDDAR communications hub projects. He currently supervises four postgraduate students and has served as Area Editor for Ad hoc Networks and Associate Editor for multiple prestigious journals. His work extends to organizing major workshops like BlockSecSDN and BlockCPS at IEEE conferences worldwide.

Yu-Wang ChenView profile

Professor

• Decision Sciences
• Data Analytics
• Artificial Intelligence
• +7 more

Yu-Wang Chen is a Professor of Decision Sciences and Business Analytics at Alliance Manchester Business School (AMBS), University of Manchester. He holds an adjunct role as a former Turing Fellow (2021–2023) at The Alan Turing Institute. His research focuses on Decision Sciences, Data Analytics, AI, and their applications in healthcare, maritime logistics, risk analysis, and social networks. He leads over £2 million in research funding from Innovate UK, EPSRC, and ERDF. Education: PhD in System Engineering (Shanghai Jiao Tong University), Postdoctoral Research Fellowship (Hong Kong Baptist University). Research Interests: Data-Driven Decision Making, Multiple Criteria Decision Analysis, Evidential Reasoning. Teaching: Programme Director for MSc Business Analytics (2015–2018 & 2020–2023). Editorial Roles: Associate Editor of Decision Analytics Journal, Editorial Board Member of multiple journals. Recent work explores social network dynamics in organizational decision-making and AI-driven solutions for maritime transportation optimization. His 80+ journal articles and 20+ conference papers address challenges in belief rule bases, risk assessment, and computational modeling. Grants: Projects include AI tools for mental health services, digital trust frameworks, and port sustainability. Awards: EPSRC Peer Review College membership, International Society of Multiple Criteria Decision Making.

• Information Systems
• Databases
• eBusiness
• +9 more

Spiros Sirmakessis is a Professor in the Department of Electrical and Computer Engineering at the University of Peloponnese. He is the Director of the eBusiness and User Experience Lab, focusing on innovation and entrepreneurship, particularly in fostering startup ecosystems and promoting research for social benefit. His roles include Head of the Technology Transfer Unit, member of the Research Academic Computer Technology Institute (CTI), and elected member of the University’s Governing Council. Educated at the University of Patras, he holds a PhD in Computer Engineering and has coordinated over 100 research projects funded by EU, national, and private sources. His research spans Information Systems, eBusiness, Human-Computer Interaction, and Data Mining. He teaches courses on Interaction Design and e-Business, emphasizing practical applications of technology in education and industry. Notable contributions include developing personalized e-learning systems, enhancing e-government services, and exploring user experience in mobile and web applications. His work bridges technical innovation with societal impact, such as promoting sustainable development through STEAM education and blue economy initiatives. Publications span journals and conferences, addressing topics like adaptive learning communities, web mining, and UX design. His projects often involve cross-disciplinary collaboration and practical implementation, reflecting a commitment to applied research with real-world outcomes.

Rommert DekkerView profile

Professor

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

Rommert Dekker is a Professor of Econometrics (Operations Research and Informatics) at the Department of Econometrics, Erasmus School of Economics (ESE), Erasmus University Rotterdam, affiliated with ERIM since 1999. His research focuses on operations research, quantitative logistics, and IT applications in logistics systems. He leads industry-sponsored research on service logistics and co-founded the REVLOG network for reverse logistics. His work spans reverse logistics, inventory control, maintenance optimization, container logistics, and transport systems. He has held roles at Shell Research (1992-1999), publishing over 100 papers during that period. Research interests include service logistics, synchromodal transportation, spare parts management, and sustainable supply chains. He integrates quantitative methods with real-world applications, addressing challenges like container terminal optimization, wildfire risk modeling, and vaccine supply chain management. His recent work explores quantum computing applications in logistics and environmental regulations' impact on maritime networks. Awards: ERIM Impact Award (2025), OR Society Goodeeve Medal (2023) Research Initiatives: Business Intelligence, Data Analytics, Smart Port@Erasmus Grants & Partnerships: Industry-sponsored programs on service logistics, collaborations with maritime and energy sectors His publications emphasize practical impact, with over 170 articles in areas like supply chain resilience, maintenance policies, and green logistics. Current research includes real-time container yard allocation algorithms and AI-driven wildfire risk models.

• High-Performance Computing
• Seismic Imaging
• Geophysical Fluid Dynamics
• +6 more

Professor Gerard Gorman is a Professor of Computational Science and Engineering at Imperial College London's Faculty of Engineering. He leads the MSc in Applied Computational Science and Engineering and serves as Associate Director of the Centre for Computational Methods in Science and Engineering. His research focuses on high-performance computing, seismic imaging, and adaptive algorithms. Key affiliations include the Applied Modelling and Computation Group, Grantham Institute, and Quantum Engineering programs. Education includes a PhD (2005), MSc (2000), and BSc (1997) from Imperial College London and National University of Ireland Galway. His work spans domain-specific languages (e.g., Devito), parallel computing optimization, and multiphysics modeling. Notable contributions include the Stride platform for ultrasound tomography and the Devito project for automated stencil code generation. Research interests combine computational methods with geophysical applications, emphasizing scalability and algorithmic innovation. He has led numerous grants and collaborations in HPC and geoscience. Current efforts include advancing seismic inversion techniques and AI integration in computational workflows.

• Artificial Intelligence
• Data Science
• Optimization
• +8 more

Richard Allmendinger is a Professor of Applied Artificial Intelligence at Alliance Manchester Business School, The University of Manchester, and serves as Associate Dean for Business Engagement, Civic & Cultural Partnerships in the Faculty of Humanities. He holds qualifications including a PhD in Computer Science from the University of Manchester and advanced degrees from Karlsruhe Institute of Technology and RMIT. His research focuses on applying optimization and machine learning to real-world challenges in healthcare, manufacturing, sports, forensics, and AI-driven decision-making. He leads the North West Productivity Forum and advises organizations like Guru AI and River Capital. His work spans interdisciplinary collaborations with industry and academia, addressing problems such as cybersecurity investment optimization, extreme weather forecasting, and personalized medicine supply chain design. Notable achievements include winning the Test-Comp 2025 gold medal for FuSeBMC research and contributions to synthetic data generation and healthcare anomaly detection. Current projects include the Centre for Digital Trust and Society and EDASIDA (Enhancing Data Accessibility and Security), funded by EPSRC and Innovate UK. He actively supervises PhD research in optimization, AI ethics, and sustainable technologies, emphasizing practical applications and societal impact.

Gerd von CöllnView profile

Professor

• Energy-Efficient Systems
• Embedded Systems
• Cyber-Physical Systems
• +5 more

Prof. Gerd von Cölln is a Professor of Computer Architecture at the School of Technology, Electrical Engineering and Computer Science, University of Applied Sciences Emden/Leer. His primary focus is on energy-efficient and autonomous systems, particularly in embedded and cyber-physical systems. He leads research in energy-autonomous sensors, low-power electronics, and IoT applications. Education details are not explicitly provided in the text, but his academic role suggests advanced qualifications in electrical engineering or computer science. His research projects include Sichere Offshore-Operationen (SOOP), Energieautarke Sensorsysteme (ID3AS), and LoRaWAN-based sensors (ELVIS), demonstrating expertise in industrial automation, sensor networks, and energy harvesting. Publications emphasize sensor design, wireless communication protocols, and optimization algorithms for complex environments. While no awards are listed, his extensive project portfolio highlights contributions to applied engineering research. Advising details are unavailable, but his role implies supervision of technical projects involving students and industry partners. Prof. von Cölln collaborates on labs and teams focused on maritime automation, industrial IoT, and embedded systems, with projects addressing challenges like harsh environmental conditions and energy sustainability.

Mohammad AlmalagView profile

Associate Professor

• Computer Networks
• Mobile Ad-hoc Networks
• Vehicular Ad-hoc Networks
• +9 more

Mohammad S. Almalag is an Associate Professor at the School of Engineering and Computing at Christopher Newport University . He joined the university in 2018, bringing expertise in Computer Networks , Mobile Ad-hoc Networks , and Cybersecurity . His academic journey includes a PhD in Computer Science from Old Dominion University, MS in Computer Science from Ball State University, and BS in Computer Science from King Saud University, Saudi Arabia. Academic Rank: Associate Professor Research Focus: Network Security, IoT, Vehicular Networks, Cloud Computing Research Interests Professor Almalag's research spans Mobile Ad-hoc Networks , Vehicular Ad-hoc Networks , and Network Security . He explores Sensor Networks , Wireless Communications , and IoT applications in Cloud Computing and Smart University environments. His work addresses Cybersecurity challenges in Higher Education and develops innovative frameworks for Augmented Reality interfaces. Publication Trends His publications from 2020-2022 emphasize IoT , Cloud Computing , and Network Security using optimization algorithms and smart systems. Earlier works (2013-2016) focus on Vehicular Ad-hoc Networks (VANETs) , protocol design, and Cyber-Physical Systems for traffic management. Grants and Research He leads research projects like "Navigating Cybersecurity Compliance Challenges for the Maritime Industry in Southeast Virginia" , sponsored by COVA CCI. This project highlights his commitment to addressing real-world Cybersecurity and Compliance issues.

Christopher L KreiderView profile

Assistant Professor

• Information Security
• Password Systems
• AR/VR Authentication
• +4 more

Christopher L Kreider serves as an Assistant Professor in the School of Engineering and Computing at Christopher Newport University, where he also directs the Cybersecurity and Information Science Programs. His academic journey includes a Ph.D. in Information Systems/Cyber Security from Dakota State University (completed February 2024), an MS in Computer Science from Georgia Tech, an MIT from Virginia Tech, and a BS in Information Science from CNU itself. As a military spouse, his academic path involved navigating multiple relocations before returning to his alma mater to teach. Kreider's research focuses on three primary areas: Information Security (particularly password systems and AR/VR authentication), Online Communities (with extensive Wikipedia research), and Healthcare Information Systems. His work bridges theoretical cybersecurity principles with practical applications, often examining the human factors in security systems. His recent publications demonstrate a strong emphasis on novel authentication methods for emerging technologies, cybersecurity education frameworks, and community dynamics in online platforms. His publication record shows consistent output in top information systems venues including AMCIS, SAIS, and the Journal of the Southern Association for Information Systems, with a noticeable increase in AR/VR security research since 2021. Kreider's work combines technical security concerns with human-centered design principles, particularly examining how users interact with security systems in immersive environments. SAIS 2020: Best in Track Paper for 'A Framework for Describing Alternative Keyboard Structures in Augmented Reality' 2nd Annual Virginia Cybersecurity Education Conference, 2019: 3rd Place Capture the Flag Competition 1st Annual Virginia Cybersecurity Education Conference, 2018: 1st Place Capture the Flag Competition SAIS 2015: Best Paper for 'Request for Adminship (RFA) within Wikipedia' Kreider actively mentors graduate students, serving as committee chair for cybersecurity-focused master's theses. He has held significant service roles including SAIS VP Conference Chair (2023), VP Program Chair (2022), and Board Member. His professional engagement extends to the Virginia Peninsula ISC2 Chapter where he regularly presents on current cybersecurity topics. Kreider also contributes to the English Wikipedia as an elected administrator, demonstrating his commitment to open knowledge communities.

Marc SchütteView profile

Professor

• Research Methods and Statistics
• Occupational Safety and Ergonomics
• Deployment Organizations
• +3 more

Prof. Dr. Marc Schütte is a Professor at the Department of Biomedical Engineering, Hamburg University of Applied Sciences. His expertise spans research methods, occupational safety, risk management, and crisis leadership. He leads the department and contributes to interdisciplinary projects in emergency management and organizational psychology. Research interests include non-technical skills in teams, ergonomic safety, and proactive risk analysis. His work addresses decision-making in high-stress environments, disaster resilience, and maritime safety frameworks. Publications focus on crisis management innovations, exercise evaluation tools, and leadership models in emergencies. Collaborations include EU projects like HAZARD and vocational education initiatives such as the Garbsener Modell apprenticeship program. No scientific awards are listed, but his contributions include developing feedback mechanisms for mass casualty drills and advancing municipal risk assessment methodologies.

Tom RavensView profile

Professor

• Arctic Coastal Hazards
• Environmental Engineering
• Renewable Energy
• +3 more

Dr. Tom Ravens is a Professor in the Civil Engineering Department at the University of Alaska Anchorage (UAA), serving as former Associate Dean of Research for the College of Engineering. His research focuses on Arctic coastal hazards, including erosion, flooding, permafrost thaw, and saltwater intrusion, alongside hydrokinetic renewable energy. He leads the NSF-funded Arctic Coastal Risk Network (ACRN), a collaborative effort to address Arctic coastal risks through interdisciplinary approaches. Education: Ph.D., Civil and Environmental Engineering, MIT (1997) M.A., Philosophy, University of Massachusetts (1990) M.E. & B.E., Engineering Sciences, Thayer School of Engineering, Dartmouth College (1983) B.A., Engineering Sciences, Dartmouth College (1982) Research Interests: Development of Arctic Xbeach models and process-based forecasting Coastal protection strategies (thermal, mechanical, nature-based) Hydrokinetic energy resource assessment and environmental impacts Risk communication and community adaptation Teaching: Courses in Water Resources Engineering, Coastal Engineering, and Fluid Mechanics. Service: Fluid Mechanics Lab Director at UAA Reviewer for journals like Journal of Waterway, Port, Coastal, and Ocean Engineering Proposal evaluator for NSF and Sea Grant programs Labs/Teams: Leads the Arctic Coastal Risk Network and collaborates with interdisciplinary teams on coastal resilience projects.

• Machine Learning
• Deep Learning
• Signal and Image Processing
• +5 more

BOHI Amine is a Lecturer-Researcher at CESI , affiliated with the Engineering and Numerical Tools research team. He holds a PhD in Computer Science from the University of Toulon (2013–2017), focusing on Fourier descriptors inspired by the human visual cortex for maritime surveillance. His academic background includes a Research Master in Computer Science (University of Fez, Morocco, 2009–2011) and a Bachelor's in Mathematics and Computer Science (University of Fez, 2006–2009). Research Interests: Machine Learning, Deep Learning, Signal and Image Processing, 3D Shape Analysis, and applications in Computer Vision and Digital Health. Current projects include developing emotional interaction solutions for neurodegenerative patients (collaboration with VyV3 Bourgogne) and multimodal emotion recognition systems. Education Activities: Teaches Computer Science and Engineering Sciences at various levels, including Integrated Preparatory Cycle, Engineering Cycle, and Specialized Bachelor's Degree. Specializes in Algorithms, Programming, Operations Research, and Web Development. Advising & Collaborations: Supervised over 10 research internships across institutions like the University of Limoges, Marrakech, and Aix-Marseille University. Notable projects include AI-driven facial emotion recognition, multimodal pain assessment, and EEG/ECG monitoring systems on Raspberry Pi. Collaborates with institutions such as the Timone Neuroscience Institute and Institut Fresnel. Publications: Authored 5 peer-reviewed journal articles and 9 conference papers (2017–2024). Key contributions include deep learning approaches for emotion recognition in elderly patients, medical imaging segmentation, and biomechanical modeling of cortical folding patterns.

• Wireless Networks
• Mobile Networks (5G)
• Quality of Service
• +3 more

Mauricio Iturralde is a Researcher-Lecturer at CESI, specializing in Networking and Computer Science. He holds a PhD in Networking and Computer Science from the Institut National Polytechnique de Toulouse and ENSEEIHT (2012), and a Master's in Systems and Networking Security from Télécom SudParis and Paris EST (2009). His research focuses on wireless networks, 5G mobile networks, Quality of Service (QoS), Digital Twins, Industry 5.0, and Cyber Security. He teaches courses on Networking, Cyber Security, System Administration, and Research Methodology to undergraduate and master's students. His work includes optimizing LTE and 5G networks through resource allocation strategies, interference mitigation, and reinforcement learning for energy-efficient protocols. He has contributed to maritime communication systems, railway transportation networks, and social engineering defenses in cybersecurity. His publications span flagship conferences like IEEE PIMRC, WCNC, and journals such as Springer Telecommunication Systems. Notable contributions include Mobile Relays for Urban Rail Systems (2020), Location-Aware Sleep Strategies for 5G (2019), and encryption mechanisms for mobile devices (2015). His research bridges theoretical frameworks (e.g., cooperative game theory) with practical applications in heterogeneous networks and IoT. He is part of the Engineering and Numerical Tools research team at CESI La Rochelle Campus, addressing challenges in digital transformation and Industry 5.0 security. His work emphasizes interdisciplinary approaches, integrating machine learning and network science to solve real-world communication problems.