Find Academic Supervisors

• Logistics
• Supply Chain Management
• Production Planning
• +5 more

Prof. Margaretha Gansterer is a full professor and Dean of the Faculty of Economics and Law at Alpen-Adria-Universität Klagenfurt. She leads the Institute for Production, Energy and Environmental Management and the Department of Production Management and Logistics. Her work focuses on production economics, logistics optimization, and collaborative transportation systems. Key research areas include supply chain resilience, vehicle routing problems, and disaster response logistics. Her research addresses challenges such as decentralized production planning, automated parcel locker networks, and emergency resource allocation during crises. Notable contributions include methodologies for demand uncertainty mitigation, horizontal collaboration in transportation, and optimization of multi-agent systems. Prof. Gansterer's recent publications (2023–2025) emphasize pandemic-related logistics, such as SARS-CoV-2 testing strategies in healthcare settings and contingency planning for driver absenteeism. She also explores innovative applications of combinatorial auctions and artificial intelligence in logistics decision-making. Research Priorities: Business Administration, Logistics, Production Management Leadership Roles: Senate Dean, Institute Head, Department Head Key Facilities: Production Management and Logistics Department (Campus South Wing East) Her work integrates simulation-based optimization with real-world supply chain modeling, contributing to both academic and practical advancements in operational efficiency and sustainability.

• Computer Science
• Artificial Intelligence
• Multi-Agent Systems
• +3 more

Vicki Allan is an Associate Professor in the Computer Science Department at Utah State University's College of Engineering. Her work spans artificial intelligence, multi-agent systems, and transportation optimization. 2024: Publications on large language models in education and autonomous mobility 2022-2021: Research in deep learning, stochastic path planning, and smart cities 2020-2019: Studies on ridesharing algorithms and youth computer science engagement Her recent research focuses on applying reinforcement learning to urban mobility challenges and leveraging AI for scalable computer science education.

José Carlos Cabaleiro DomínguezView profile

Professor

• High performance computing
• Parallel systems architecture
• Parallel algorithms
• +6 more

Dr. José Carlos Cabaleiro Domínguez is a Full Professor in the Department of Electronics and Computing at the University of Santiago de Compostela's Faculty of Computing, Spain. He has been a member of CiTIUS (Centro singular de investigación en tecnoloxías da información e comunicación) since 2010 and was promoted to Full Professor in 2022 after serving as an Associate Professor since 1994. His academic journey began with a BS and PhD in Physics from the University of Santiago de Compostela in 1989 and 1994 respectively, with initial teaching experience at the University of A Coruña from 1990-1994. His research focuses on high performance computing, particularly in parallel systems architecture, development of parallel algorithms for irregular problems with sparse matrices, performance prediction and improvement of parallel applications, memory hierarchy optimization, and applications for grid and cloud computing. He has developed significant expertise in 3D point cloud processing from remote sensors like LiDAR, with applications in urban infrastructure analysis, powerline detection, and route planning. Analysis of his recent publications reveals a strong emphasis on optimizing resource allocation for big data frameworks, developing deep learning applications for point cloud classification, and creating efficient algorithms for powerline detection in LiDAR surveys. His work bridges theoretical computer science with practical applications in geospatial analysis and infrastructure monitoring. His research has been published in top-tier journals including IEEE Transactions, ISPRS Journal of Photogrammetry and Remote Sensing, and Future Generation Computer Systems, reflecting his significant contributions to the field of high performance computing and its applications. Dr. Cabaleiro actively collaborates with researchers across multiple institutions, as evidenced by his extensive publication record with co-authors from various universities and research centers. His work demonstrates a consistent trajectory of advancing parallel computing techniques while applying them to increasingly complex real-world problems involving large-scale geospatial data.

• Computer Science
• Electronic Engineering
• Integrated Circuit Testing
• +6 more

Marcello Dalpasso is an Associate Professor of Computer Science at the School of Engineering, University of Padova, Italy, and a member of the Department of Information Engineering. He has held this position since 2004 after serving as a researcher and teaching assistant at the same university from 1998. Born in Ferrara, Italy (1965) Graduated with highest honors in Electronic Engineering (1990), University of Bologna PhD in Electronic Engineering and Computer Science (1994), Rome His research focuses on integrated circuit testing , fault simulation , and algorithm design . He has developed techniques for IDDQ testing , bridging fault modeling , and Boolean satisfiability applications in digital systems. Other contributions include optimization algorithms for Traveling Salesman Problem (TSP) and efficient data structures. Recent publications highlight his work on Answer Set Programming for timing analysis, Python programming education , and TSP neighborhood exploration . His research spans both theoretical and applied domains, from hardware testing to software development and computational biology. He has co-authored textbooks on Computer Networks , Software Design , and Programming in Java/Python/C++ , serving as a key contributor to educational materials in computer science.

• Economics
• Innovation Economics
• R&D Networks
• +4 more

Michael David König is a Lecturer at the Department of Management, Technology, and Economics at ETH Zürich, specializing in Innovation Economics within the KOF Swiss Economic Institute. His research focuses on the intersection of network theory and economics, particularly examining R&D networks, technology spillovers, and innovation dynamics. König maintains an active research profile with publications spanning economics, network science, and computer science. König's research spans multiple domains including economic network analysis, innovation economics, and technology diffusion. He has made significant contributions to understanding how firms form R&D collaborations and how knowledge flows through these networks. His work combines theoretical modeling with empirical analysis of large-scale network data, revealing patterns such as oscillatory dynamics in R&D collaboration intensity. Recent research has also addressed practical economic issues, including firm responses to the COVID-19 pandemic and factors influencing R&D investment decisions in Switzerland. His interdisciplinary approach bridges economics with computational methods, reflecting his background in both theoretical and applied network analysis. König's publication record demonstrates a strong interdisciplinary trajectory, beginning with contributions to wireless network protocols and distributed systems before focusing more intensively on economic applications of network theory. A consistent theme across his career has been the study of how networks evolve and how these structures influence outcomes in various domains, from technology diffusion to economic fluctuations. His research often employs sophisticated modeling techniques to analyze the coevolution of networks and economic behavior, with particular attention to the dynamics of knowledge creation and diffusion. König teaches Introduction to Microeconomics at ETH Zürich, as evidenced by his listing in the Autumn Semester 2025 course catalog. His office is located at LEE G 224, Leonhardstrasse 21, 8092 Zürich, Switzerland. He is affiliated with the KOF Innovation Economics research group, which focuses on innovation, technological change, and their economic implications.

Bakhtiar SadeghiView profile

Researcher

• Cybersecurity
• Ethics
• Serious Games
• +3 more

Bakhtiar Sadeghi is a Doctor of Philosophy researcher at the Faculty of Science and Engineering, Macquarie University. His work bridges Cybersecurity with Ethics and Decision Making , focusing on the application of Serious Games for professional training and ethical awareness development. This interdisciplinary approach aligns with Macquarie University's commitment to innovative research in technology and social responsibility.

• Laser Systems
• Ultrafast Optics
• Biophotonics
• +3 more

Professor Tom A Brown is affiliated with the School of Physics and Astronomy and Centre for Biophotonics at the University of St Andrews. He is a leading researcher in laser systems and biophotonics, with over 139 research outputs and 27 activities documented. His work spans ultrafast optics, computational modeling, and medical laser applications. Research Interests: His research focuses on developing solid-state laser systems for ultrafast applications , alongside biophotonics projects addressing biological and medical challenges. Key areas include photodynamic therapy , skin optics , and marine resource monitoring . Article Trends: His publications emphasize Monte Carlo simulations in biomedical contexts, optical coherence tomography , and laser-based medical devices . Topics range from neuro-oncology to krill population dynamics , reflecting interdisciplinary applications. Scientific Awards: White Light Bessel beamed named among top 30 optics stories of the year in Optics and Photonics News (2006) Supervision and Grants: He has supervised 5 thesis projects, including those by Stevenson N.K. and Barnard I.R.M. Current grants include EPSRC Core Equipment Account (2023-2024), BBSRC Pathfinder IAA (2022-2023), and Horizon Europe TRS Fund (2022-2023). His work contributes to UN Sustainable Development Goals, particularly Health and Welfare .

• Software Engineering
• Formal Methods
• Autonomous Systems
• +3 more

Eduard Baranov is a Visiting Lecturer and Research Assistant at the Université catholique de Louvain, affiliated with the Louvain Polytechnic School (EPL) through the Computer Engineering Center (INGI) under the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). His work bridges academic research with industrial applications. Research Interests : Software engineering, formal methods, cybersecurity, autonomous systems, and model checking. His focus spans scalable coverage estimation, secure healthcare systems, and statistical validation of privacy protocols. Publications : Recent work includes t-wise coverage algorithms for software testing, formal verification of multi-agent autonomous systems, and privacy-preserving frameworks aligned with GDPR standards. His research often integrates symbolic execution and statistical model checking. Collaborations : Collaborates with researchers like Axel Legay, Kuldeep S. Meel, and Thomas Given-Wilson, contributing to journals such as IEEE Transactions on Software Engineering and ACM Transactions on Software Engineering and Methodology. Contact : Email: eduard.baranov@uclouvain.be | Office: INGI - Réaumur, L5.02.01, Place Sainte Barbe 2, 1348 Louvain-la-Neuve.

• Physics-Based Animation
• Character Animation
• Computer Graphics
• +7 more

Professor Song Oh-young is affiliated with Sejong University as a faculty member in the Ocean Humanity College , Department of Software . He leads the Sejong University Graphics Lab , which focuses on physics-based animation for movies/games and natural phenomena simulation. PhD in Computer Science from Seoul National University (2004) Postdoctoral Fellow at Seoul National University (2004-2006) Current research spans Computer Graphics , Medical AI , IoT Security , and Deep Learning Applications in healthcare and agriculture. His recent publications (2023-2024) emphasize AR/VR for emergency training , medical imaging , and IoT optimization . The Graphics Lab actively collaborates with industry on special effects and simulation techniques. He has contributed to 3D graphics , chaotic encryption , and real-time fluid dynamics over two decades.

Douglas HoustonView profile

Professor

• Cell and Developmental Biology
• Neurobiology
• Vertebrate Development
• +3 more

Douglas Houston is a Professor in the Department of Biology at the University of Iowa, where he also serves as Director of the Developmental Studies Hybridoma Bank (DSHB). He holds a PhD from the University of Miami. His research investigates vertebrate developmental mechanisms, with a focus on maternal signaling pathways, RNA localization, and cytoskeletal dynamics in Xenopus models. Key areas include cortical rotation, Wnt signaling activation, and the role of asymmetrically localized mRNAs in embryonic axis formation. His work spans Cell and Developmental Biology and Neurobiology , emphasizing molecular regulation of early embryogenesis. Research integrates genetic, biochemical, and imaging approaches to dissect mechanisms of dorsal axis specification and neural development. Recent studies explore antibody validation protocols to enhance biomedical research reproducibility. Houston directs the DSHB, a core facility supporting antibody-based research globally. The lab employs Xenopus laevis and Xenopus tropicalis for functional genomics, including CRISPR-based editing and maternal mRNA manipulation techniques.

Pete WillemsenView profile

Professor

• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality (MR)
• +7 more

Pete Willemsen is a Professor and Department Head in the Department of Computer Science at the University of Minnesota Duluth, Swenson College of Science and Engineering. His research focuses on urban microclimate simulation, virtual reality education, and human-computer interaction. Current research includes One Night in Tarrytown (interdisciplinary VR learning environments) Development of Quick Environmental Simulation (QES) for urban wind and pollution modeling Investigation of radiance field content generation for VR applications Prior projects have explored: Locomotion mechanics in VR training systems GPU-accelerated environmental simulations Human spatial perception in virtual environments Low-cost Kinect-based tracking systems Collaborations span multiple disciplines including Communications, Digital Arts, and Mechanical Engineering. Current students include Asif Sijan (VR content generation), Christianah Adigun (spatial cognition), and Noah Miller (VR controller ergonomics).

• Computational Complexity
• Algorithmic Game Theory
• Mechanism Design
• +3 more

Argyrios Deligkas is a Senior Lecturer (equivalent to Associate Professor) at the Royal Holloway University of London. He obtained his PhD from the University of Liverpool under the supervision of Rahul Savani and held postdoctoral positions at the University of Liverpool and the Technion (Industrial Engineering and Management department). His research focuses on computational aspects of game theory, optimization, and complexity. Key interests include: Algorithmic Game Theory and Mechanism Design Computational Complexity (PPAD/PPA-hardness) Fixed-parameter algorithms and combinatorial optimization Fair division and resource allocation Equilibrium computation in multi-agent systems Recent publications (2023-2025) demonstrate a strong emphasis on computational hardness in fair division (e.g., PPA-hardness proofs), mechanism design with real-world constraints, and parameterized algorithms for pathfinding/graph problems. Collaborative work with European researchers dominates his output, with frequent appearances at AAAI, IJCAI, and AAMAS. He actively presents at conferences (e.g., ALGA2025, WINE 2024) and collaborates internationally, including visits to universities in Vienna, Prague, Glasgow, and Edinburgh.

• Computer Science Education
• Algorithms
• Graph Theory
• +4 more

Eleni Akrida is an Associate Professor in the Department of Computer Science at Durham University and serves as Deputy Executive Dean (Academic Student Experience) in the Faculty of Science. She joined Durham in 2019 after studying Mathematics at Patra, Greece, and Computer Science at Liverpool, UK. Between 2020-2025, she held the role of Director of Undergraduate Studies for Computer Science. Research Focus Her research bridges theoretical computer science and education, with primary interests in: Computer Science Education : Pedagogical frameworks, neurodiversity inclusion, and abstraction skill development Algorithms & Complexity : Temporal networks, graph optimization, and stochastic processes Applied AI : Paraphrase generation/identification using deep learning She leads the Pedagogical Innovations in Computer Science and Algorithms & Complexity research groups. Publication Trends Recent works (2022-2025) demonstrate a dual focus: education research (developing pedagogical frameworks and addressing multi-track programming challenges) and technical innovations (temporal graph algorithms and NLP applications for plagiarism detection). Earlier work (2016-2021) established expertise in temporal network optimization and stochastic graph theory. Grants & Supervision Awarded grants include: CPHC Special Project (2025/26): Exploring Neurodivergent Student Experiences in UK CS Education CPHC Special Project (2022/23): Building a Theoretical CS Commons for hybrid learning She currently supervises postgraduate students Arwa Al saqaabi and Saira Richardson.

Alvo AablooView profile

Professor

• Advanced Materials
• Nanotechnology
• Robotics
• +5 more

Alvo Aabloo is a Full Professor at the University of Tartu's Institute of Technology, where he leads the Intelligent Materials and Systems Laboratory (IMS Lab). His affiliations include a postdoctoral position at Uppsala University (1995–1996) and ongoing roles at the University of Tartu since 2005. The IMS Lab, accessible via www.ims.ut.ee , specializes in electroactive polymers, biomimetic robotics, and sustainable materials. His research integrates Advanced Materials , Nanotechnology , and Soft Robotics , with emphasis on: Biomimetic actuators (e.g., spider-leg exoskeletons, plant-inspired fluid transport) Ionic polymer-metal composites for precision manipulation Acoustic metamaterials for noise control Green sensors using bacterial cellulose and bio-derived ionic liquids Recent publications (2022–2025) reveal trends in: Robotics education tools (ROS2 web labs, 3D-printable robots) Programmable metamaterials for environmental applications Textile-based encoding and wearable compliance modulation He pioneers sustainable tech, such as all-printed micro-supercapacitors and biodegradable artificial muscles, while collaborating globally on projects spanning Italy, China, and Sweden.

• Robotics
• Swarm Robotics
• Multi-robot Systems
• +5 more

Anders Lyhne Christensen is a Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he serves as a Professor at both the SDU Drone Center and SDU Climate Cluster. His academic work focuses on robotics, swarm intelligence, and drone technology applications. His research interests center around swarm robotics and multi-robot systems, with particular emphasis on drone swarm applications for wildlife monitoring, search and rescue operations, and environmental conservation. His work bridges computer science, robotics engineering, and practical field applications, developing solutions that address real-world challenges through innovative swarm intelligence approaches. Professor Christensen's recent publications reveal a strong focus on practical drone swarm implementations, with research spanning wildlife monitoring systems, search and rescue operations, communication protocols for UAV swarms, and efficient pathfinding algorithms for multi-agent systems. His work demonstrates a consistent trajectory toward developing robust, field-deployable swarm robotics solutions. He actively contributes to major research projects including WildDrone (2023-2026), CloudBrain (2020-2023), and SpikeDrone (2018-2021), focusing on drone swarm applications for environmental monitoring and complex task execution. His teaching portfolio includes courses on Bio-inspired Autonomous Systems, Reinforcement Learning for Robotics, and introductions to robotics, computer vision, and artificial intelligence.