Find Academic Supervisors

• Geotechnical Engineering
• Energy Geotechnics
• Nuclear Waste Disposal
• +5 more

Anne-Catherine A.M. Dieudonné, holding the title Dr.ir., is a faculty researcher at the Faculty of Civil Engineering and Geosciences, Delft University of Technology , within the Section of Geo-Engineering . Her work bridges fundamental geomechanics with pressing energy and environmental challenges, focusing on clays, bentonites, bio-cemented sands, geothermal systems, nuclear waste disposal, and CO₂ geological storage. Education & Training: Doctor of Engineering (Dr.ir.) – advanced doctoral degree in civil engineering/geosciences, exact institution and dates not stated in the source. Research Interests: Anne-Catherine’s research is organised around four pillars: Energy Geotechnics: thermo-hydro-mechanical (THM) modelling of geothermal systems in deep mines, cold-water injection-induced fracturing, optimisation under uncertainty. Environmental Geotechnics: long-term performance of clay barriers for nuclear waste repositories, gas and fluid transport in saturated clays, self-healing of rock-salt fractures. Bio-mediated Ground Improvement: micro-scale mechanics of bio-cemented sands, influence of carbonate distribution on stiffness and strength, DEM and experimental characterisation. Advanced Experimental & Numerical Techniques: development of novel visualisation devices for fluid-driven cracks, constitutive modelling of expansive clays, zero-thickness interface elements for fracture simulation. Publication Trends: Since 2020 she has authored or co-authored more than 25 peer-reviewed articles and conference contributions. The 2025 corpus shows a strong emphasis on geothermal reservoir engineering , bio-cemented geomaterials , and deep geological disposal , with methodological advances in coupled THM modelling, discrete-element simulation, and experimental validation. Scientific Awards & Honours: ABTUS Scientific Prize – Belgian Association for Underground Techniques and Urbanism (2012) C.B.R. Heidelberg Prize (2011) Bright Spark Lecture Award (2025) Ioannis Vardoulakis PhD Prize (2017) NWO Veni Grant (2019) Supervision & Grants: Anne-Catherine has supervised at least one doctoral student, A. Zhang , on bio-cemented sands. She is principal investigator on the NWO Veni project focusing on clay fracture mechanics and participates in the European EURAD consortium for radioactive waste management research. Laboratory & Teams: She is affiliated with the Geo-Engineering Section laboratories at TU Delft, which host advanced triaxial, oedometer, and bespoke visualisation rigs for clay and sand testing. Collaborative networks span TU Delft, KU Leuven, University of Liège, and multiple European institutions within EURAD.

Johannes FlackeView profile

Associate Professor

• Urban Planning
• Geo-Information Systems
• Climate Change Adaptation
• +5 more

Dr. Johannes Flacke is an Associate Professor for Spatial Planning and Decision Support Systems at the University of Twente, Netherlands, with dual affiliation to the Department of Urban and Regional Planning and Geo-Information Management and the Digital Society Institute. He holds a Diploma in Geography (1994) and a PhD in Geosciences (2002) from Ruhr-University Bochum, Germany. Diploma in Geography, Ruhr-University Bochum (1994) PhD in Geosciences, Ruhr-University Bochum (2002) His research focuses on sustainable urban transformation, climate change adaptation, and micro-level urban modeling. He specializes in collaborative spatial decision support systems, addressing challenges in informal settlements, environmental inequalities, and poverty alleviation. Recent work includes inclusive digital planning tools like OGITO and analyses of energy poverty and health risks in marginalized communities. Key trends in his 2025–2023 publications include participatory design for bikeable cities, cascading effects of disasters in informal settlements, climate adaptation planning, and equity-focused urban research. Tools like collaborative mapping and interactive dashboards are recurring themes across his work. Dr. Flacke has supervised 13 research projects and contributed to datasets on European climate plans, heat-or-eat dilemmas, and disaster impact chains. He actively engages in oral presentations on topics such as water security, flood risk management, and health promotion for unhoused populations.

Peter KießlingView profile

Researcher

• Computer Science Education
• Didactic Templates/Patterns
• Educational Technology
• +4 more

Peter Kießling is a Scientific Staff member at the University of Leipzig 's Didactics of Computer Science department. Since January 2021, he has contributed to research and teaching, with a focus on didactic patterns, digital education tools, and AI integration in programming instruction. PhD in Computer Science Education (University of Leipzig, 2025) 2. Staatsexamen in Computer Science Teacher Training (2021) 1. Staatsexamen in Higher Secondary Education (Mathematics & Computer Science, 2019) His research explores didactic templates/patterns for computer science instruction, media didactics , and digital teaching materials . Recent work analyzes AI-based educational scenarios and programming task support systems. Kießling collaborates on projects like the M.I.T.-Schulnetzwerk (since 2023) and UndiMes (2019-2023), focusing on digital education in Saxony. His publications emphasize modular teaching frameworks and simulation-based learning. As a lecturer, he teaches modules including Didaktik der Informatik - Grundlagen , Physical Computing , and Grundlagen digitaler Lehr-Lernszenarien , covering both theoretical and practical aspects of computer science teacher training.

Martin MiddendorfView profile

Professor

• Swarm Intelligence
• Bioinformatics
• Genome Rearrangement Analysis
• +7 more

Prof. Dr. Martin Middendorf is a faculty member at the Department of Computer Science , Faculty of Mathematics and Computer Science , Leipzig University , Germany. He leads the Swarm Intelligence and Complex Systems Group and focuses on interdisciplinary research at the intersection of computational methods and biological systems. Fields of Interest Swarm Intelligence Bioinformatics Genome Rearrangement Analysis Combinatorial Optimization Evolutionary Algorithms Task Allocation in Multi-Agent Systems His recent research emphasizes mitochondrial genome annotation , predator-prey dynamics in swarm systems , and metaheuristic algorithms for dynamic optimization . Key trends include de-Bruijn graph applications , pheromone-dependent movement modeling , and automated behavior tracking in social insects . Supervised Students Dr. Nicolas Wieseke Dr. Hoang Thanh Le Dr. Fatma Turna Tobias Jagla Carsten Seemann Prof. Middendorf's group develops tools like DeGeCI 1.1 for mitochondrial gene annotation and explores swarm-controlled emergence in ant clustering systems. They apply swarm intelligence principles to solve real-world problems in vehicle routing , sewer network design , and biomedical signal processing .

• Automation Systems
• Control Engineering
• Cybersecurity
• +5 more

Tomasz Makowski is a Lecturer at the Department of Infotronics and Cybersecurity within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His work focuses on automation systems, control engineering, and cybersecurity, with active collaborations in robotics and IoT projects. Current affiliation: Cracow University of Technology Academic rank: Lecturer Research interests include: Automation systems and PLC programming 3D printing and Fusion 360 modeling Robotics and sensor networks Human-machine interfaces (HMI) and RFID technology Recent publications highlight applications in: Electromagnetic launcher control 3D printing integrations Smart greenhouse automation Experimental PID algorithm testing Mobile delivery robotics

• Synaptic transmission
• Optical Microscopy
• Computational neuroscience
• +5 more

Robin Angus Silver is Professor of Neuroscience at University College London (UCL), a Wellcome Trust Principal Research Fellow, and Fellow of the Royal Society. He has held leadership roles since 2011 and is renowned for groundbreaking work in synaptic transmission, neural computation, and neuroinformatics. Education: B.Sc. in Physical Sciences (1st Class Hons), Coventry Polytechnic (1986) Ph.D. in Physiology, UCL (1990) Dr. Silver's research focuses on information processing in cerebellar and neocortical circuits. He discovered fundamental properties of central excitatory synapses, elucidated how neurons perform arithmetic operations, and pioneered tools like NeuroConstruct and NeuroML for 3D neuronal modeling. His development of high-speed two-photon microscopy with acousto-optic lenses revolutionized in vivo imaging. His work spans synaptic physiology, computational modeling, and neuroinformatics infrastructure. He has contributed to open-source platforms like OpenSourceBrain, enabling browser-based visualization and simulation of neural models. Awards include Royal Society Fellowship (2017), Wellcome Trust Principal Research Fellowships (2011, 2016), and ERC Advanced Investigator Award (2011). Scientific Awards Fellow of the Royal Society (2017) Wellcome Trust Principal Research Fellowship (2011, 2016 renewal) European Research Council Advanced Investigator Award (2011) Hungarian Academy of Sciences Distinguished Guest Scientist Fellowship (2012) Multiple Wellcome Trust Senior/Principal Research Fellowships Wellcome Trust Research Career Development Fellowship (1996) Dr. Silver has organized international workshops including OpenSourceBrain meetings and INCF Congress events. He serves on steering committees for neuroinformatics initiatives and evaluation panels for funding bodies like the Wellcome Trust and US BRAIN Initiative.

Karsten LehnView profile

Professor

• Extended Reality (XR)
• Computer Graphics
• Augmented Reality
• +3 more

Prof. Dr.-Ing. Karsten Lehn is a faculty member specializing in Extended Reality (XR) applications for educational innovation. His work bridges computer science, biomedical engineering, and pedagogical design to develop immersive teaching tools that transform complex subject delivery. Primary research interests include: Extended Reality (XR) for Education Computer Graphics Systems Medical Augmented Reality Applications VR Teaching Methodologies Educational Software Development Interdisciplinary STEM Training Analysis of his 2023 publications reveals a cohesive research trajectory focused on practical XR implementations. Key patterns include medical training simulations (particularly anesthesia induction), development of reusable XR toolboxes for educators, and integration of computer graphics principles into accessible teaching frameworks. His work consistently targets real-world educational gaps through technically sophisticated yet pedagogically grounded solutions. No scientific awards are documented in the provided materials.

• Forest Fires
• Wildland-Urban Interface Fires
• Technological Risk
• +5 more

Elsa Pastor Ferrer is a Professor in the Department of Chemical Engineering at the School of Engineering of Eastern Barcelona (EEBE), Universitat Politecnica de Catalunya (UPC). She serves as a contracted professor (Catedràtic contractat) and leads significant research in forest fires and technological risk assessment. Her work spans multiple research groups including CERTEC (Center for Technological Risk Studies) and CER-H2 (Research Center for Hydrogen at UPC). Dr. Pastor Ferrer's research focuses on wildland-urban interface (WUI) fires, fire safety engineering, and technological risk assessment. Her expertise encompasses wildfire risk modeling, structural protection against fires, vegetation flammability, and hydrogen safety. She has developed methodologies for vulnerability assessment at property level and created tools like TourGuard for infrastructure vulnerability assessment. Her work integrates computational fluid dynamics (CFD) with artificial intelligence for dynamic risk assessment in fire scenarios. Her recent publication trends show strong emphasis on practical applications of fire safety research, with numerous deliverables for EU projects like WUITIPS and FIREPRIME. These publications demonstrate growing integration of virtual reality for risk visualization and intelligent systems for dynamic risk assessment. Her work bridges theoretical fire science with practical risk mitigation strategies for communities and infrastructure. Best Poster Award - First Place (2025) Mención Honorífica de DOCTOR EUROPEO (European Doctor Mention of Honor) Dr. Pastor Ferrer actively advises PhD students including Juan Antonio Muñoz Navarro, Francisco de Borja Rengel Darnaculleta, and Mario Miguel Valero Perez. She leads multiple competitive research projects with funding from EU Civil Protection Mechanism, Horizon Europe, and Spanish national programs. Her work includes significant collaboration with Eulalia Planas Cuchi (275 joint publications) and Alba Àgueda Costafreda (77 joint publications). She contributes to major research initiatives including the 3D Fire LABoratory and the GUARDIAN project for WUI fire protection. Her work extends to practical applications like assessing fire behavior in parking structures and developing irrigation technologies for wildfire protection.

Jenny ZhouView profile

Professor

• Dynamic responses and vibrations of micro-electronic systems
• Plant Biomechanics
• Multi-scale and multi-physics modeling
• +1 more

Jenny Zhou is a Professor and Chair of the Department of Mechanical Engineering at Lamar University in Beaumont, Texas, with over two decades of academic leadership and research excellence. Her work bridges theoretical mechanics with practical applications in microelectronics and biomechanics. Education: Ph.D. in Mechanical Engineering, University of Maryland, Baltimore County (2003) M.S. in Mechanical Engineering, Chongqing University, China (1988) B.S. in Mechanical Engineering, Chongqing University, China (1985) Her research focuses on dynamic responses of micro-electronic systems under mechanical and thermal loads, plant biomechanics for crop structural optimization, multi-scale modeling of moisture-induced failures, and innovative engineering education methodologies. She pioneered techniques for analyzing hygroscopic swelling in electronic packages and developed haptic learning tools that transform dynamics education. Her work on drop/shock testing established industry standards for portable electronics reliability. Analysis of her 15 most recent publications reveals dominant themes in moisture diffusion modeling (40%), electronic packaging reliability (30%), and engineering education technology (20%), with emerging work in plant biomechanics and combustion emissions. Key trends include computational modeling of moisture-vaporization failures and haptic-augmented STEM pedagogy. Scientific Awards: Leland Best Distinguished Faculty Fellow in Teaching (2016-2019) Multiple Presidential Faculty Fellowships for Teaching Innovation and Research (2014-2015) Who’s Who in the World (2009) University Merit Award (2007) She has mentored 21 graduate students through doctoral dissertations and master's theses, with research spanning electronic packaging, biomechanics, and sustainable energy systems. Funded by NSF grants including RET Site for high school engineering curriculum development and SCOPE scholarships for mechanical engineering students, her projects integrate industry partnerships with K-12 outreach. Current initiatives focus on capstone design competitions where student teams compete in SAE Mini-Baja, ASME Human Powered Vehicle, and NASA challenges. Her research group operates advanced laboratories for drop/shock testing, moisture diffusion analysis, and haptic learning systems, collaborating with semiconductor manufacturers and agricultural researchers. Future work includes AI-driven moisture diffusion modeling and expanding NSF-funded educational outreach to rural communities.

Chunyang ChenView profile

Professor

• Software Engineering
• Applied Data Analysis
• Deep Learning
• +5 more

Chunyang Chen is a Professor at the School of CIT, Technical University of Munich (TUM), Germany. He maintains an active research profile in software engineering with a focus on applying data analysis and artificial intelligence techniques to software development processes. His primary research interests include Software Engineering , Applied Data Analysis , Deep Learning , and Human-Computer Interaction . Dr. Chen is particularly known for his work in applying data analysis to automated software development and mining software repositories, with significant contributions in mobile application testing, GUI testing, and leveraging Large Language Models for software engineering tasks. His recent publications (2024-2026) demonstrate a strong focus on integrating Large Language Models with software testing methodologies, particularly for mobile applications. The research trends show increasing sophistication in using multimodal LLMs, dynamic memory techniques, and retrieval augmentation to improve automated testing capabilities. Dr. Chen maintains an active presence in the software engineering research community, serving on program committees for major conferences including ASE, ICSE, and ESEC/FSE. He has also delivered keynote speeches on mobile application testing with Large Language Models, highlighting his thought leadership in this emerging area.

Diego GarbervetskyView profile

Associate Professor

• Static analysis
• Program verification
• Smart Contract analysis
• +5 more

Diego Garbervetsky is an Associate Professor at the Computer Science Department, School of Sciences, University of Buenos Aires, and a Researcher at ICC/CONICET. He also serves as Director of the Institute of Research in Computer Sciences (ICC). His academic career spans multiple roles in software engineering research and education. His educational background is not explicitly stated in the provided texts, but his current position reflects extensive academic achievement. Garbervetsky's research focuses on static analysis techniques for Java-like programs and Smart Contracts, automated program verification , program understanding , and validation . His specific interests include program understanding, testing and verification of programs featuring rich protocols, static analysis for program verification, and automatic symbolic resource analysis (gas consumption, dynamic memory, energy, etc.). His research has significant implications for blockchain technology, particularly in smart contract verification. Analysis of his recent publications reveals a strong trend toward smart contract security and verification , with multiple papers on modal abstractions, predicate abstractions, and tools like VeriSol for Solidity smart contracts. His work bridges formal methods with practical software engineering challenges, particularly in the blockchain domain. His scientific contributions include the development of multiple research tools: Contractor: Automated tool for behavior validation Contractor.NET: Visual Studio extension for .NET validation JConsume2: Compositional analysis for Java heap memory Consume.Net: Compositional analysis for .NET heap memory BudaPest: Automated software verifier VInTime: Verification suite for Real Time systems Garbervetsky has supervised numerous PhD students including Daniel Wappner, Javier Godoy, and Alexis Soifer, with former students now working at companies like Microsoft, Veritran, and Dialpad. He has served on program committees for major conferences including ICSE, FSE, ASE, and ISSTA, demonstrating his standing in the software engineering research community. His service includes chairing workshops and serving on artifact evaluation committees, showing his commitment to research quality and reproducibility. He currently teaches Software Engineering 2 at the University of Buenos Aires, having previously taught courses in algorithms, automatic software validation, program analysis, programming paradigms, and computer organization.

Neil WalkinshawView profile

Professor

• Software Engineering
• Testing
• Machine Learning
• +4 more

Neil Walkinshaw is a Professor in the Department of Computer Science at The University of Sheffield, Faculty of Engineering. He serves as joint PC-chair for the International Conference on Software Testing (ICST'26) and is an associate editor for the Journal of Automated Software Engineering. His research focuses on improving the trustworthiness and reliability of software and cyber-physical systems, with particular expertise in testing "hard to test" systems that have long execution times, non-determinism, limited state observability, and large input/output spaces. He has secured funding from EPSRC (CITCOM, REGI, and STAMINA projects), InnovateUK, DSTL, and the DfT. Walkinshaw's research spans three main areas: Causal Software Engineering : Applying Causal Inference to test causal input-output relationships in software and cyberphysical systems, including scientific models, automated driving systems, and cyberphysical systems. State Machine Inference and Analysis : Developing techniques to understand sequential behavior of systems when a prior model is unavailable, including Extended Finite State Machine inference and LTSDiff algorithm for comparing state machines. Second-order uncertainty in Software Engineering : Using Subjective Logic to reason about uncertainty in empirical software engineering experiments and inferred state machines. His recent publications (2023-2025) demonstrate a strong focus on causal testing methodologies, with applications to scientific software models (CovaSim, Luo-Rudy model), cyber-physical systems (Artificial Pancreas), and automated driving simulators. His work on the CITCOM Causal Testing Framework provides an open-source implementation of these approaches. His scientific achievements include: Best Research Paper Award at EASE'25 for "Using Causal Inference to Test Systems with Hidden and Interacting Variables" Development of the CITCOM Causal Testing Framework (GitHub, MIT License) Significant contributions to state machine inference and analysis Walkinshaw actively supervises PhD students and has successfully guided seven PhD students to completion. He teaches Software Reengineering and leads the Computer Science Ambassadors module, focusing on making Computer Science more inclusive. As the school lead on inclusion in Computer Science, he works to attract more diverse student cohorts into the field. He currently collaborates with Research Software Engineers Michael Foster and Farhad Allian on the CITCOM project (2020-2025), which explores causal testing approaches for hard-to-test systems.

René PeinlView profile

Professor

• Multimodal Artificial Intelligence
• Resource-efficient AI
• Speech Recognition
• +7 more

René Peinl is a Professor of Business Informatics at the Institute for Information Systems (iisys) within the Faculty of Computer Science at Hof University of Applied Sciences. He serves as the Institute Director and leads the research group on Multimodal Artificial Intelligence. His academic career spans over 15 years of teaching in master's programs including 'Master Informatik' and 'Master Applied Research in Computer Science', with a focus on resource-efficient AI for text understanding since 2021. Dr. Peinl's research spans multiple cutting-edge domains in AI and information systems. His primary focus is on multimodal artificial intelligence systems that integrate various data modalities. He specializes in resource-efficient AI models that can operate without cloud resources, with particular emphasis on German language processing for speech recognition, text understanding, and speech synthesis. His work extends to practical applications in Industry 4.0 through customizable manufacturing execution systems (HiCuMES) and immersive learning applications using virtual reality technology for fields like electrical engineering and healthcare training. Analysis of his recent publications reveals a strong trend toward practical, efficient AI implementations with a focus on German language processing and multimodal systems. His work addresses critical challenges in model compression, bias mitigation in generative AI, and multimodal integration of text and image understanding. A significant portion of his research focuses on making AI more accessible and practical for small and medium enterprises through resource-efficient implementations that don't require cloud infrastructure. Professor Peinl actively participates in academic service and industry collaboration. He serves as a member of Hof University's senate and supervisory board. His research is supported through EFRE projects including 'Wirtschaft im Mittelstand 4.0' and 'Digitale Transformation des Mittelstands mit KI'. He frequently engages with industry through speaking engagements, consulting, and collaborative projects with companies across various sectors. At Hof University, Peinl leads the Institute for Information Systems and the Multimodal Artificial Intelligence research group. His team works on developing privacy-friendly speech assistance systems that function without cloud resources, highly customizable manufacturing execution systems for Industry 4.0, and immersive VR learning applications for domains that are expensive, dangerous, or difficult to replicate in physical reality.

Ali AhadView profile

Associate Professor

• Manufacturing Systems
• Modeling
• Simulation
• +15 more

Ali Ahad is an Associate Professor in the Department of Industrial Engineering at Lawrence Technological University, directing the Bachelor of Science (BSIE) and Master of Science (MSIE) Industrial Engineering programs, the Smart Manufacturing and Lean Systems Research Group, and advising IEOM, SME, and Engineers Without Borders student chapters. His academic credentials include: Ph.D., Industrial Engineering, University of Wisconsin-Milwaukee M.S., Systems and Engineering Management, Nanyang Technological University, Singapore B.S., Mechanical Engineering, Khulna University of Engineering and Technology, Bangladesh His research spans Manufacturing Systems, Modeling/Simulation, Optimization, Reliability, AI, Lean Manufacturing, PLM/CAD/CAM/CAE, Decision Support, Supply Chain/Logistics, and Renewable Energy/Healthcare Systems, emphasizing industrial applications through simulation and data-driven methodologies. Recent publications reveal a focus on automotive manufacturing optimization (e.g., assembly line throughput, BIW robotics), lean enterprise transformation, and renewable energy analysis, with methodologies blending simulation, AI, and reliability engineering across automotive, healthcare, and energy sectors. No scientific awards are documented in the source material. He has secured substantial research funding including a $40.2M Siemens PLM software grant (2023), TST Edge CAM grant ($752K, 2013), KEEN sustainability grant ($30K, 2013-14), and U.S. DOE Industrial Assessment Center funding (2012-13), alongside contracts from DTE Energy and LTU seed grants. He leads the Smart Manufacturing and Lean Systems Research Group, driving industry collaborations in simulation-based optimization and lean systems implementation for manufacturing productivity.

• Interactive Graphics
• Virtual Reality
• Augmented Reality
• +5 more

Professor Kenny Mitchell is a faculty member at the School of Computing Engineering and the Built Environment at Edinburgh Napier University. With over 60 research outputs listed, he specializes in Interactive Graphics, Virtual Reality, and Augmented Reality technologies. Research Interests Mitchell's work focuses on real-time systems, motion prediction, and human-computer interaction in immersive environments. His research spans generative AI environments , 3D facial reconstruction , and light field rendering . Key themes include AI-driven animation , networked VR experiences , and haptic-visual integration . Article Trends Recent publications emphasize Transformer-based motion prediction (NeFT-Net), speech-to-VR systems (HoloJig), and low-latency avatar synchronization . His work integrates machine learning with computer graphics for applications in telepresence dance and emotionally intelligent avatars . Projects CAROUSEL+ : £929,077 funded by European Commission (2021-2024) for telepresent dance systems DISTRO : £243,804 European Commission grant for 3D graphics training (2015-2018)