Find Academic Supervisors

• Topology Optimization
• Composite Materials
• Aeroelasticity
• +6 more

Dr. Peter Dunning is a Lecturer in the School of Engineering at the University of Aberdeen, specializing in advanced computational methods for structural and aerospace engineering. He leads PhD supervision and teaches core engineering courses, including Fundamentals of Engineering Materials and Group Design Projects . His academic credentials include a PhD in Aerospace Engineering from the University of Bath (2011) and Chartered Engineer status with IMechE (2016). Research Areas: Multiscale Reliability-Based Optimization of Composite Materials Geometric Nonlinear Topology Optimization Aeroelastic Structure Design for UAVs and Aircraft Metamaterial Development via Computational Methods Recent Publication Trends: His 2025-2024 work focuses on UAV winglet optimization, offshore wind turbine mooring systems, and thermal-mechanical metamaterials. Earlier studies (2023-2019) address buckling constraints, composite reliability, and aerostructural design. All research integrates advanced numerical methods with practical engineering applications. Scientific Awards: Nominated for Best Supervisor (Postgraduate Research) - Runner-up Multiple Best Undergraduate Lecturer nominations Excellence in Postgraduate Teaching (2017/18) Supervision: Currently advising PhD candidates in floating offshore wind systems and composite design. Former students include experts in wave energy extraction and geometrically nonlinear aeroelastic analysis. He also serves as a reviewer for 12+ international journals.

Hanna BednarekView profile

Professor

• Cognitive Psychology
• Aviation Psychology
• Visual Illusions
• +3 more

Hanna Bednarek is a Professor at SWPS University , affiliated with the Faculty of Psychology in Warsaw and the Department of Cognitive Psychology, Development and Education . She serves as Dean of the Faculty of Psychology and leads the Center for Behavioral Neuroscience . Her research focuses on cognitive psychology , aviation psychology , and visual illusions , particularly their impact on pilot behavior and spatial orientation. Graduate of psychology and philosophy Specializes in perceptual illusions, working memory, and cognitive training Collaborates with Nencki Institute and Military Institute of Aviation Medicine Author of books on pilot spatial disorientation and media image-building Her recent publications explore cognitive susceptibility to visual illusions , with emphasis on Müller-Lyer illusion and Ponzo effect . She has supervised over 200 master's theses and three doctoral dissertations. Active in promoting physical activity's psychological benefits through studies on life satisfaction and self-esteem . In aviation psychology, her team investigates spatial disorientation in pilots caused by false horizon illusions , analyzing cognitive styles (field dependence/independence) and attention network efficacy. Her work on temporal information processing reveals age-related differences in planning mechanisms and millisecond timing contributions to working memory. Lab affiliations include the Institute of Psychology and Center for Behavioral Neuroscience . She employs advanced methodologies like flight simulators and computerized attention diagnostics. Her interdisciplinary approach bridges psychology with aviation safety, architecture, and media studies.

• Aerospace Engineering
• Aerodynamics
• Thermodynamics
• +11 more

Richard Hann is a Senior Researcher and Director of the UAV Icing Lab at the Norwegian University of Science and Technology (NTNU) . He is affiliated with the NTNU-AMOS (Center of Excellence on Autonomous Marine Operations and Systems) and CIRFA (Centre for Integrated Remote Sensing and Forecasting for Arctic Operations). Additionally, he serves as a Lead Aerodynamics Engineer and Shareholder at UBIQ Aerospace and promotes Arctic drone applications through projects at the University Centre of Svalbard (UNIS) . Education: M.Sc. in Aerospace Engineering (2013, University of Stuttgart) Ph.D. in UAV Icing (2020, NTNU) Research Interests focus on atmospheric icing effects on unmanned aerial vehicles, including aerodynamic penalties , ice protection systems , and CFD simulations . His work spans cold climate wind energy , environmental forensics , and Arctic fieldwork with UAVs in glaciology and atmospheric pollution studies. The UAV Icing Lab under his leadership develops experimental and numerical tools to address icing challenges in cold climates. His publications (2017–2025) cover topics such as ice accretion modeling, aerodynamic degradation, glacier mapping, and sensor placement for UAVs in Arctic conditions. Collaborations include institutions like AIAA , UiT The Arctic University of Norway , and NATO . Scientific Committees: Contributor to IWAIS 2024 (International Workshop on Atmospheric Icing of Structures) Editorial involvement in AIAA and SAE technical papers

Bogdan Løw-HansenView profile

Researcher

• Unmanned Aerial Vehicles (UAVs)
• Aerospace Engineering
• System Identification
• +5 more

Bogdan Løw-Hansen is a PhD research fellow at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of Engineering Cybernetics and the NTNU UAV Icing Lab . His work focuses on modeling and system identification for fixed-wing UAVs operating in icing conditions, including propulsion system analysis and fault detection algorithms. Education: M.Sc. in Cybernetics and Robotics (NTNU) Collaborators: Richard Hann (NTNU), Tor Arne Johansen (NTNU), Christoph Deiler (DLR), Bård Stovner (UBIQ Aerospace) Research Trends: Recent publications emphasize UAV icing mitigation, propulsion system identification, and aerodynamic modeling. Key collaborations include DLR and UBIQ Aerospace, with methodological focus on time-domain system identification, electrothermal de-icing systems, and fault detection algorithms. Teaching: Bogdan contributes to TTK4190 - Guidance, Navigation, and Control of Vehicles , supervising student assignments and providing guidance in control systems. Publications: Highlights include 2025 work on UAV dynamics modeling, 2024 studies on propulsion system identification, and 2023 surveys of ice detection methods. Keywords span aerospace engineering, system identification, and fault detection.

• Control Systems Engineering
• UAV Flight Control
• Nonlinear Model Predictive Control
• +3 more

Dirk Peter Reinhardt is a Postdoctoral Fellow in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on advanced control systems for unmanned aerial vehicles with particular expertise in nonlinear model predictive control and reinforcement learning applications. Dr. Reinhardt's research spans several key areas in control engineering: Nonlinear Model Predictive Control (NMPC) for UAV flight systems Reinforcement Learning applications in flight control UAV attitude and path-following control systems Flight dynamics modeling and system identification Embedded control systems for autonomous aircraft Sensor calibration and wind tunnel testing His publication record from 2019-2024 demonstrates a progression from fundamental control theory to increasingly complex real-world applications, with numerous field experiments validating theoretical approaches. Dr. Reinhardt frequently collaborates with researchers at NTNU, particularly with Tor Arne Johansen and Sebastien Nicolas Gros, and has published in top venues including IEEE Transactions, IFAC World Congress, and International Conference on Unmanned Aircraft Systems. Dr. Reinhardt's laboratory work involves extensive flight testing of fixed-wing UAVs, including the Skywalker X8 platform, with a focus on validating control algorithms under various conditions including challenging scenarios like icing conditions. His recent research shows growing interest in data-efficient learning methods and robust control for adverse flight conditions.

Wim BouwmanView profile

Associate Professor

• Neutron scattering methods
• Spin-echo small-angle neutron scattering (SESANS)
• Soft condensed matter
• +4 more

Dr. Wim Bouwman is Associate Professor in the Neutron & Positron Methods for Materials section, Department of Radiation Science and Technology, Faculty of Applied Sciences, Delft University of Technology . Since 1997 he has led an interdisciplinary team that develops and applies novel neutron-scattering techniques—most notably spin-echo small-angle neutron scattering (SESANS)—to soft-condensed-matter and food-science challenges. He earned his PhD in 1993 at AMOLF/FOM, followed by post-doctoral stays at the Royal Institution of Great Britain, Risø National Laboratory and SRON, before joining TU Delft. His research portfolio spans: instrumentation & neutron optics (SESANS, SEMSANS, Larmor precession devices) method development for data acquisition and analysis (SasView integration) soft-matter physics of colloids, emulsions, gels and food proteins multiscale structure–function relationships in meat analogues, dairy and plant proteins Recent work (2020-2025) focuses on real-time SESANS monitoring of emulsion ripening , anisotropic structuring in soy-based meat alternatives , and chromatin organization in biological cells . He has co-authored >200 peer-reviewed papers since 2020 alone, and key publications appear in Langmuir , Food Hydrocolloids , J. Appl. Cryst. , Polymer and ACS AMI . Honours & awards J.B. Westerdijk Prize 2024 – exceptional contributions to education TU Delft Education Fellowship 2024 – curriculum reform in engineering education Teacher of the Year 2021, Faculty of Applied Sciences Education & outreach : He co-developed an open interactive textbook on electricity and magnetism (in Dutch), created extensive YouTube lecture series during the COVID-19 pandemic, and regularly delivers invited talks and workshops worldwide (e.g., PNCMI, Neutrons and Food, LENS). Research group & facilities : The team operates the SESANS instrument at the Reactor Institute Delft, collaborates with neutron facilities such as ISIS and Oak Ridge, and partners with industry (Shell, Unilever, food-tech start-ups) to translate fundamental insights into sustainable food-processing technologies.

K.A. DaveView profile

Researcher

• Hydrogen Energy
• Combustion Technology
• Dual-Fuel Systems
• +3 more

K.A. Dave is a researcher at TU Delft's Flight Performance and Propulsion department, focusing on hydrogen-based fuel combustion technologies and emission reduction in aerospace systems. Fields of Interest: Hydrogen Energy, Combustion Technology, Dual-Fuel Systems, Emission Characteristics, Flame Dynamics, Aerospace Propulsion Recent Research: Experimental and numerical analyses of hydrogen-methane/kerosene blends in combustors, emphasizing stabilization, mixing efficiency, and environmental impact. Scientific Awards: Best TU Delft H2 Platform paper (2024) NVV Combustion Award for MSc thesis on s-CO2 Cycle Feasibility (2021) Collaborations: Engaged in multi-institutional projects involving combustor design and hydrogen energy systems.

• Renewable Energy
• Solar Cell Technology
• Smart Grids
• +3 more

Dr. Firdaus Muhammad Sukki is an Associate Professor at Edinburgh Napier University's School of Computing Engineering and the Built Environment, specializing in renewable energy systems, solar cell technology, and smart grid development. With a strong research portfolio spanning photovoltaics, wind energy, and sustainable development applications, he contributes significantly to the university's Transport Research Innovation Centre. His research interests focus on renewable energy technologies , particularly dye-sensitized solar cells using natural materials like fungal dyes, smart grid integration , and wind turbine structural modeling . His work addresses critical sustainability challenges through innovative approaches to energy harvesting, storage, and distribution systems. His research group explores the intersection of bio-based materials and energy conversion technologies, with particular emphasis on sustainable solutions for developing regions. Dr. Muhammad Sukki's recent publications demonstrate a clear trend toward natural and sustainable materials for energy applications , with significant work on mushroom-based dyes for solar cells and agrivoltaic systems. His research spans both theoretical modeling and practical implementation, with projects addressing energy solutions for Sub-Saharan Africa and Scotland. The breadth of his work connects fundamental materials science with real-world energy challenges. As a research supervisor, he serves as second supervisor for PhD candidates including Magnus Bichan working on structural modeling of electrical generators for offshore renewable energy and Abubakar Suleiman researching solar energy systems in Nigeria. His current projects include "Accelerating Transformative Technology for Sustainable Clean Energy Development" funded by the Department for Science, Innovation & Technology (£359,983) and "Fungal Innovations for Synergy of Zero Hunger and Affordable Energy" funded by the Royal Society of Edinburgh (£65,000). His work connects with the Transport Research Innovation Centre and focuses on sustainable energy solutions that address climate change challenges while promoting economic development in both developed and developing contexts. His interdisciplinary approach bridges engineering, environmental science, and sustainable development goals.

Andreas KochView profile

Researcher

• Computational Modeling
• Compressible Multiphase Flows
• CutDG Methods
• +3 more

Andreas Koch is a Research Associate at the Professorship of Simulation for Additive Manufacturing at the Technical University of Munich (TUM), Germany. His research focuses on computational modeling of compressible multiphase flows, CutDG methods, and high-performance computing with software development. He holds a Master of Science (M.Sc.) in Mechanical Engineering from TUM (2024). Research Interests Koch's work bridges computational mechanics and machine learning, with emphasis on cut discontinuous Galerkin methods for simulating complex flows and high-performance computing systems. His publications demonstrate expertise in machine learning applications for aerospace systems, including anomaly detection in spacecraft telemetry and deep learning acceleration for spaceborne hardware. Scientific Awards ERC Starting Grant Publications (2024-2013) His research portfolio includes 15 recent publications spanning edge AI solutions for spacecraft , RF synchronization systems, and machine learning frameworks for aerospace applications. Earlier work explores robot perception and geoinformatics implementations.

• Mechatronics
• Robotics
• Parallel Robotics
• +8 more

Vasfi Emre Ömürlü serves as a Professor in the Department of Mechatronics Engineering at Yildiz Technical University's Faculty of Mechanical Engineering. He has maintained continuous affiliation since his graduate studies and co-founded the Mechatronics Engineering Department in 2008 alongside Prof. Ismail Yuksek and Prof. Ahmet Koyun, subsequently serving as its vice chair and department chair to establish it as a leading program. His academic foundation includes a BSc and MSc in Mechanical Engineering from Yildiz Technical University, followed by a PhD in Medical Robotics from The Ohio State University (2002). His research portfolio demonstrates exceptional impact with 69 Web of Science publications and a remarkable WoS H-index of 105. Dr. Ömürlü's scholarly work centers on advanced mechatronic systems, with primary expertise in Robotics (particularly Parallel Robotics), Flight Simulation, Motion Cueing algorithms, and Unmanned Vehicle development. His secondary specializations include Control Systems, Vehicle Dynamics, Mechanical Vibrations analysis, and Mechanism design within dynamic systems. He has secured research funding through at least one major project and holds 32 intellectual property records. While the source indicates thesis advisory activity, specific student names and project details remain undisclosed in the provided documentation. Beyond academia, Dr. Ömürlü maintains a professional singing career stemming from his musician family background. He resides in Istanbul with his spouse and two children.

• Radiation Effects on Electronics
• Spacecraft Systems
• Memory Technology
• +3 more

Torsten Fichna is a researcher at the Institute of Computer and Network Engineering , Braunschweig University of Technology. His work focuses on radiation effects in electronic memory systems for space applications, FPGA-based spacecraft controllers, and error correction techniques for aerospace environments. Affiliation: Institute of Computer and Network Engineering, Braunschweig University of Technology Research Focus: Radiation-hardened memory systems, FPGA design for space, single-event effects (SEE) mitigation Contact: fichna@ida.ing.tu-bs.de His research explores the intersection of computer engineering and space systems , particularly addressing challenges in memory reliability and reconfigurable hardware for small satellites. Recent publications highlight trends in FPGA-based mass memory controllers and radiation tolerance for DDR2 SDRAM and NAND flash devices. While no explicit scientific awards are listed, his contributions to spacecraft instrumentation and radiation testing have been recognized in symposia like the IAA Symposium on Small Satellites for Earth Observation and workshops such as SpacE FPGA Users Workshop .

• Aviation Psychology
• Human Factors Engineering
• Cybersecurity in Aviation
• +5 more

Patrick Gontar is a researcher at the Department of Ergonomics at the Technical University of Munich, focusing on aviation psychology and human factors engineering . His work examines pilot behavior, team coordination, and cybersecurity impacts in flight environments. Affiliation: Technical University of Munich Department: Ergonomics Research interests include cockpit communication analysis , non-technical skills evaluation , and quantifying pilot interaction behavior . Recent studies explore cybersecurity threats in aviation and their effects on crew performance. His publications highlight interdisciplinary approaches combining cross-recurrence analysis , speech act modeling , and eye-tracking to assess pilot coordination, attention, and decision-making under stress. Key collaborations include work with Klaus Bengler and Frédéric Dehais. Active in flight simulation research, Gontar contributes to understanding manual flying skills , task interruptions , and visual attention patterns through advanced methodologies like FRAMalyse and socio-technical modeling .

Thomas HovestadtView profile

Associate Professor

• Evolution of dispersal
• Movement rules
• Life history evolution
• +3 more

PD Dr. Thomas Hovestadt is a faculty member at the University of Würzburg where he has led the Theoretical Evolutionary Ecology Group (TEE) since 2015. His research focuses on evolutionary ecology with emphasis on dispersal evolution, life history strategies, and host-parasite systems. Based at the university's Biocenter, he maintains active collaborations across European institutions including the University of Ghent where he served as Guest Professor from 2013-2015. His academic credentials include: Diploma in Biology from University of Tübingen (1987) PhD in Biology from University of Würzburg (1997) Habilitation at University of Würzburg (2006) Hovestadt's research program investigates how organisms evolve movement rules and resource allocation strategies in fragmented landscapes. His work integrates theoretical modeling with empirical data to examine evolutionary dynamics in spatially structured populations, particularly focusing on dispersal polymorphisms, foraging optimization, and the impacts of anthropogenic disturbances like light pollution and habitat fragmentation. Statistical approaches underpin his analysis of niche evolution and population viability. Analysis of his 15 most recent publications (2022-2025) reveals consistent focus on dispersal ecology across diverse taxa including insects and moths. Key themes include landscape heterogeneity effects on biodiversity, anthropogenic impacts (light pollution, climate change), and theoretical modeling of metapopulation dynamics. His work frequently employs simulation approaches and field-based validation, with growing emphasis on conservation applications for fragmented ecosystems. No scientific awards are documented in the available information. As head of the TEE group, Hovestadt oversees research mentoring and project coordination. His current funding includes SFB 1047: Insect timing, DFG HO2051/3, and the MacMan collaborative project, indicating sustained support from the German Research Foundation for theoretical ecology research. The Theoretical Evolutionary Ecology Group operates from the University of Würzburg's Biocenter, maintaining connections to Field Station Fabrikschleichach and UFZ Leipzig. The group specializes in developing analytical frameworks for evolutionary processes in spatially complex environments, with particular expertise in movement ecology and population dynamics modeling.

• Biochemistry & Molecular Biology
• Pharmacology & Pharmacy
• Structural Biology
• +4 more

John J Bellizzi is an Associate Professor in the Department of Chemistry & Biochemistry at the University of Toledo's College of Natural Sciences and Mathematics. His research focuses on structural biology, enzymology, and biochemistry, particularly in understanding the mechanisms of flavin-dependent enzymes and halogenases. Key Research Interests : Structural biology of enzymes, flavin reductases, tryptophan halogenases, protein-ligand interactions, biocatalysis, and molecular mechanisms of enzymatic reactions. Recent Publications : Dr. Bellizzi's recent work examines the kinetic mechanisms of flavin reductases BorF and AbeF, structural analysis of thermophilic tryptophan halogenases, and negative cooperativity in ligand binding. His 2025 studies on flavin-dependent halogenases highlight novel insights into enzyme-catalyzed reactions. Collaborative Work : He has collaborated with Song-Tao Liu on multiple publications from 2011 to 2024, focusing on shared research in structural and biochemical enzyme analysis. Contact : John.Bellizzi@utoledo.edu

Dmitry Nikolaevich LapshinView profile

Researcher

• Mosquito Bioacoustics
• Acoustic Orientation of Nocturnal Lepidoptera
• Insect Counter-strategies to Bat Echolocation
• +3 more

Dmitry Nikolaevich Lapshin is a Doctor of Biological Sciences and Leading Researcher at the Laboratory of Sensory Information Processing, Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS). His career spans institutions like Moscow State University's Biological Faculty (1980-1994) and the Moscow Institute of Radio Engineering Equipment (pre-1980). As a protégé of Prof. Alexey Byzov, Lapshin's work bridges sensory physiology, bioacoustics, and neuroethology. Education : Bauman Moscow State Technical University (1976) His research focuses on mosquito bioacoustics and nocturnal lepidopteran echolocation strategies , revealing novel mechanisms like frequency-tuned auditory neurons in mosquitoes and acoustic counter-strategies against bats. Publications in Insects , Sensory Systems , and Journal of Experimental Biology demonstrate interdisciplinary impact. Articles show progressive exploration of insect auditory systems across 15 years. Lapshin has received multiple RFBR grants (2006-2014) and international support from Volkswagen Stiftung (1997). His work fundamentally reshaped understanding of insect auditory processing through electrophysiological and behavioral experiments. Collaborations with D.D. Vorontsov and R.D. Zhantiev highlight long-term scientific partnerships. Technical Expertise : Acoustic signal processing in insects Neural mechanisms of sound detection Frequency tuning analysis Flight simulation methodologies Echolocation system modeling Sensory-motor integration