Find Academic Supervisors

• Gene Therapy
• Vascular Biology
• Neurology
• +3 more

Jakob Körbelin is a Principal Investigator at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Faculty of Medicine and the II. Medical Clinic and Polyclinic. His research focuses on vascular biology, gene therapy, and neurological disorders, particularly targeting the blood-brain barrier using adeno-associated viral (AAV) vectors. He leads studies on pulmonary hypertension, neurovascular interactions, and genetic diseases like Niemann-Pick type C2. His work bridges basic science and translational medicine, emphasizing AAV engineering and therapeutic applications. Key research interests include endothelial cell biology, neuroinflammation, and the pathophysiology of vascular diseases. Notably, he received the UCCH Hubertus Wald Young Investigator Award 2013 for his contributions. His lab explores mechanisms of vascular dysfunction, gene delivery optimization, and the impact of viral vectors in treating rare diseases. Collaborations span molecular neurobiology, immunology, and translational oncology. Publications highlight breakthroughs in AAV-mediated therapies, such as reversing neurodegeneration in NPC2 models and identifying novel targets for pulmonary hypertension. Ongoing projects address microvascular brain pathology in SARS-CoV-2 infection and the role of transcription factors in vascular diseases.

• Fluid Mechanics
• Heat Transfer
• Thermal Engineering
• +5 more

Dr. Juan Felipe Torres is a Senior Lecturer and course convener for Aerodynamics, Fluid Mechanics, and Heat Transfer at the School of Engineering, ANU. His research focuses on sustainable heat and fluid flow phenomena with applications in environmental, energy, and aerospace engineering. Key contributions include hierarchical solar absorber coatings and the development of thermodiffusive desalination. He holds dual doctoral degrees from Tohoku University (Japan) and École Centrale de Lyon (France), with 12 years of experience in Japan, including a JSPS Fellowship and industry work at Toshiba Corporation. Education: Doctor of Philosophy (Engineering), Tohoku University & École Centrale de Lyon (2014) Master of Engineering, Tohoku University (2011) Bachelor of Engineering, Tohoku University (2009) Research Interests: Sustainable energy systems, solar thermal technologies, phase-change materials, desalination, and advanced coatings for high-temperature applications. His work emphasizes scalable solutions for environmental and energy challenges, including heat transfer optimization and materials innovation. Grants & Projects: ANU-funded projects on microplastic collection, hydrogen storage, lunar dust mitigation, and solar carbon sequestration (2018–2026). Focus on lab-scale prototypes (e.g., packed bed thermal storage, bladed solar receivers) and field applications. Labs & Teams: Group Leader of the ANU HEAT Lab, advancing heat/mass transfer technologies for environmental and energy applications. Collaborates internationally on solar thermal systems and desalination.

Chong-Yu XuView profile

Professor

• Hydrological Modelling
• Climate Change
• Regional Evapotranspiration
• +4 more

Prof. Chong-Yu Xu is a Professor of Hydrology at the University of Oslo's Department of Geosciences, affiliated with the Section for Geography and Hydrology (GeoHyd). He has held this position since 2005, having previously served as an Associate Professor at Uppsala University (1998–2005) and Assistant Professor (1994–1998). His research focuses on hydrological modeling, climate change impacts, regional evapotranspiration, and uncertainty analysis. He teaches courses such as GEO4310 (Stochastic Methods in Hydrology) and GEO4320 (Hydrological Modelling). Education: BSc in Hydrology (Nanjing University, 1978–1982), MSc in Regional Hydrological Modeling (Free University Brussels, 1986–1988), and PhD in Hydrological Modelling (Free University Brussels, 1988–1992). He has been honored with prestigious awards, including the NHF Lifetime Achievement Award (2022) and IWA Publishing Award (2022). He serves as an honorary professor at institutions like Hohai University and is a doctoral supervisor at multiple universities. His research spans global, regional, and local hydrological modeling, with a focus on climate change adaptation and water resource management. He leads projects such as the NORHED-II initiative on climate change and ecosystem management in Malawi and Tanzania. His work bridges theoretical hydrology with practical applications, including flood risk reduction and hydropower optimization. Publications highlight advancements in hydrological extremes, non-stationary drought assessment, and AI-driven flood prediction. Collaborative efforts with international networks like the Nordic Hydrological Association underscore his global impact in hydrological sciences.

Arash NematiView profile

Assistant Professor

• Solid Oxide Fuel Cells
• Renewable Energy
• Electrochemistry
• +5 more

Arash Nemati is an Assistant Professor at the Department of Energy Conversion and Storage, Technical University of Denmark (DTU). His research focuses on sustainable energy technologies, particularly solid oxide fuel cells, ammonia-fueled systems, and multiphysics modeling of energy conversion processes. He leads and participates in EU-funded projects such as RESCUE and X-SEED, aiming to advance renewable energy storage and green hydrogen production. His work addresses challenges in electrochemical systems, including durability, efficiency, and integration of renewable energy sources. He has received notable recognition, including a Highly-cited Paper award (Web of Science, 2022) and the DAAD Green Hydrogen Research Tour Scholarship (2024). Nemati actively supervises PhD students in areas like co-electrolysis and solid oxide electrolysis cell modeling. His expertise spans thermochemical processes, numerical simulations, and techno-economic evaluations of energy systems. Key projects include developing ammonia-driven reversible solid oxide cells for grid storage and optimizing pyrolysis-electrolysis systems for methanol and char production. His research aligns with UN Sustainable Development Goals, emphasizing clean energy and climate action.

Md Noor-A-RahimView profile

Assistant Professor

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +4 more

Dr. Md Noor-A-Rahim is an Assistant Professor (Lecturer-Above the Bar) at the School of Computer Science and Information Technology, University College Cork (Ireland). He previously served as a Senior Researcher and Marie Curie Fellow at the same institution. His academic journey includes a PhD from the University of South Australia (2015) and the prestigious Michael Miller Medal for his outstanding thesis on wireless communication systems. His research focuses on Intelligent Transportation Systems, Machine Learning, IoT, Wireless Networks, and DNA-based data storage. He has published extensively on topics like 6G-V2X systems, time-sensitive networking, and error characterization in DNA storage. His work integrates cutting-edge technologies such as intelligent reflecting surfaces (IRS), federated learning, and ultra-reliable low-latency communication (URLLC). Research Interests : Dr. Rahim's research bridges theoretical advancements and real-world applications in vehicular networks, smart manufacturing, and next-generation communication systems. He explores challenges in autonomous driving, edge computing, and bio-constrained data storage. His contributions include novel coding schemes for anytime transmission and frameworks for mitigating big vehicle shadowing in V2X communications. Key Publications : His recent work includes a comprehensive survey on wireless TSN (2025), analysis of 6G-V2X systems (2022), and breakthrough studies on DNA data storage error modeling (2023). These publications highlight his expertise in both foundational research and industry-relevant solutions. Awards : Recipient of the Michael Miller Medal (2015) for doctoral research excellence. Grants & Labs : While specific grants are not listed in the text, his research portfolio suggests involvement in collaborative projects with industry partners and funding bodies. He leads interdisciplinary efforts in smart manufacturing and vehicular communication systems.

Peter SuttonView profile

Associate Professor

• Engineering Education
• Embedded Computing Systems
• Reconfigurable Computing
• +3 more

Associate Professor Peter Sutton is an academic at the University of Queensland (UQ), holding roles as Deputy Head of School (Teaching and Learning) and Associate Professor in the School of Electrical Engineering and Computer Science. His research focuses on Engineering Education, Embedded Systems, Reconfigurable Computing, and Electronic Design Automation. He has contributed to curriculum design, remote lab management during the pandemic, and hardware-software co-design for embedded systems. Sutton completed his undergraduate studies at UQ and earned advanced degrees at Carnegie Mellon University, with over three decades of experience in computer systems research and education. Education Bachelor of Science, University of Queensland Bachelor (Honours) of Engineering, University of Queensland Masters of Science (Coursework), Carnegie Mellon University Doctor of Philosophy, Carnegie Mellon University Research Interests Sutton’s work spans engineering pedagogy, embedded system design, and reconfigurable computing. Recent projects include adapting hands-on labs for remote learning during the pandemic and optimizing FPGA-based architectures for data compression and encryption. His contributions to cache optimization and multiprocessor systems highlight his expertise in hardware-software integration. Publications His 50+ publications cover topics like FPGA implementations of neural networks, code compression techniques for VLIW processors, and embedded system design tools. Notable contributions include frameworks for reconfigurable system-on-chip development and methods to enhance debugging practices in post-novice students. Labs & Teams He collaborates within UQ’s School of Electrical Engineering and Computer Science, contributing to research groups focused on embedded systems and engineering education innovation.

Gerd TerördeView profile

Professor

• Electrical Engineering
• Power Systems
• Control Engineering
• +3 more

Prof. Dr.-Ing. habil. Gerd Terörde is a Professor of Electrical Drive Technology at Osnabrück University of Applied Sciences, affiliated with the Faculty of Management, Culture and Technology. He holds a Diplom in Electrical Engineering from RWTH Aachen and a Dr.-Ing. habil. from TU Berlin. His career includes research at RWTH Aachen, KU Leuven, and TU Berlin, as well as industry roles as a project leader at Atlas Copco Airpower in Belgium. Education: 1989–1996: Diploma in Electrical Engineering (RWTH Aachen) 2002: PhD in Electrical Engineering (KU Leuven) 2008: Habilitation in Electrical Drive Technology (TU Berlin) Research focuses on electrical drives, power electronics, and control systems, with emphasis on sensorless control, renewable energy integration, and high-performance drive systems. He teaches courses on electrical machines, power electronics, control theory, and regenerative energy systems. Publications include a textbook on electrical drives and numerous patents/contributions to international journals and conferences. His work addresses topics like inverter systems, motion control algorithms, and energy-efficient drive solutions. Labs/Teams: Active in university research groups focusing on electrical drives and energy systems within the Faculty of Management, Culture and Technology.

• Security Engineering
• Hardware Security
• Post-Quantum Cryptography
• +4 more

Prof. Tim Güneysu is a full Professor and Head of the Security Engineering department at the Faculty of Computer Science, Ruhr-Universität Bochum. He serves as Vice Dean for Strategy and Finances (since 2023) and previously as Speaker of the Horst-Görtz Institute for IT-Security (2020-2023). His academic journey includes roles as Associate Professor at the University of Bremen (2015-2017) and Assistant Professor at Ruhr-Universität Bochum (2011-2015). He also holds positions at the German Research Center for Artificial Intelligence (DFKI) and has conducted postdoctoral research at UMass Amherst. His research focuses on Security-by-Design principles, CAD for Security, and countermeasures against physical attacks. He emphasizes efficient cryptographic implementations and system-level hardware security. Key areas include post-quantum cryptography, side-channel resistant designs, and secure embedded systems. He has contributed over 200 publications in top venues, with recent work on FPGA-based cryptographic accelerators, secure hardware extensions (e.g., KeyVisor), and post-quantum algorithms for IoT. His research themes include agile signature acceleration, fault attack mitigation, and hardware-software co-design for security. Notable projects include CONVOLVE (edge-AI security) and QuantumRISC (quantum-safe systems). His work bridges theoretical cryptography with practical hardware implementations, emphasizing real-world security applications.

Keyvan Hashtrudi-ZaadView profile

Professor

• Haptics
• Telerobotics
• Tele-rehabilitation
• +5 more

Keyvan Hashtrudi-Zaad is a Professor in the Department of Electrical and Computer Engineering at Queen's University, affiliated with the Smith School of Engineering and the Ingenuity Labs Research Institute. His expertise spans robotics and control systems, with a focus on haptics, telerobotics, tele-rehabilitation, autonomous vehicles, and medical robotics. He holds the email addresses keyvan.hashtrudi-zaad@queensu.ca and khz@queensu.ca, and his office is located in Walter Light Hall, Room 427. Research Interests: His research emphasizes human-robot interaction, haptic interfaces, autonomous systems, and mechatronics. Key areas include kinesthetic haptics, collaborative teleoperation systems, energy storage systems for electric vehicles, and medical robotics applications such as needle deflection estimation and rehabilitation robotics. His work bridges theoretical control systems with practical applications in healthcare and autonomous technologies. Publications: His recent work addresses challenges in haptic system stability, energy-efficient inverters for electric vehicles, and teleoperation networks. Notable projects include a cable-driven parallel robot for stroke rehabilitation and a study comparing DC/BLDC actuators for haptic feedback. His research often integrates sensor fusion, nonlinear control, and dynamic modeling to solve real-world problems. Awards and Recognition: While specific awards are not listed, his extensive publication record and leadership in interdisciplinary robotics initiatives highlight his contributions to the field. He is part of the Interactive Robotics and Intelligent Systems (IRIS) Laboratory, advancing innovations in medical robotics and autonomous systems. Grants and Collaborations: His work likely involves collaborations across engineering and medical disciplines, supported by grants focused on robotics, control systems, and healthcare technologies. The IRIS Lab serves as a hub for developing cutting-edge solutions in haptic training systems and assistive robotics.

• Energy Storage
• Hydrogen Economy
• Thermochemical Cycles
• +5 more

Domenico Ferrero is a Fixed-term Tenure-track Assistant Professor at the Department of Energy (DENERG), Politecnico di Torino. His primary role involves advancing research in renewable energy systems, particularly focusing on hydrogen technologies, energy storage, and thermochemical cycles. He contributes to the College of Electrical and Energy Engineering, teaching courses such as Hydrogen Laboratory and Sistemi di accumulo dell'energia elettrica . His research emphasizes experimental and modeling studies on hydrogen production via electrolysis, solar-driven thermochemical cycles, and CO₂ utilization. Key projects include H2SHIFT, HyAcademy.EU, and IMAGHyNE, funded by EU initiatives. Ferrero collaborates internationally on material characterization for protonic ceramic electrolysis cells and sealant development. He supervises multiple PhD students in energy systems and leads the M3ES research group. Publications highlight innovations in solar fuels, redox cycles, and hydrogen-battery hybrid systems. His work bridges fundamental science with applied engineering, targeting sustainable energy solutions for remote and urban environments.

Ioan RaicuView profile

Professor

• Distributed Systems
• Cloud Computing
• Grid Computing
• +3 more

Ioan Raicu is a Professor in the Department of Computer Science at Illinois Institute of Technology (IIT) and a guest research faculty at Argonne National Laboratory's Math and Computer Science Division. He leads the Data-Intensive Distributed Systems Laboratory (DataSys) at IIT, focusing on distributed systems, cloud computing, and high-performance computing. His work is primarily funded by the NSF and DOE. Research interests include distributed systems, many-task computing, and data-intensive applications. Over 140 peer-reviewed publications have yielded a H-index of 46, with top papers addressing cloud vs. grid computing comparisons, Globus GridFTP, Swift workflow systems, and Falkon frameworks. Recent projects explore fine-grained parallelism, scalable indexing, and energy-efficient blockchain algorithms. Awards include NSF grants and recognition for lab innovations. Advised PhD students include Alexandru Orhean and Poornima Nookala. The DataSys lab has won the Grainger Computing Innovation Prize and leads initiatives like the BigDataX REU program. Active in conferences such as SC and IEEE IPDPS, Raicu's work bridges theory and practice in extreme-scale computing systems.

Jing LiView profile

Research Fellow

• Renewable Energy
• Energy Storage
• Thermofluids
• +7 more

Dr. Jing Li is a Senior Research Fellow at the University of Hull's Energy and Environment Institute. He holds a BSc (2006) and PhD (2011) from the University of Science and Technology of China (USTC), followed by a postdoctoral position there and an EU Marie Skłodowska-Curie Fellowship at the University of Nottingham (2017–2019). His research focuses on renewable energy, energy storage, and sustainable heating technologies, with expertise in heat pumps, organic Rankine cycles, and solar PV/T systems. Dr. Li has led/co-led 12 research projects funded by organizations such as the EU, BEIS, and the Royal Society. He is a Fellow of the Higher Education Academy (FHEA) and has co-authored over 100 peer-reviewed papers, 3 books, and holds 10 patents. His innovations include vapor-injection heat pumps, novel thermal storage techniques, and advanced photovoltaic/thermal systems. Key research themes include low-carbon energy systems, thermodynamic cycle optimization, and sustainable building technologies. His recent work demonstrates low-carbon heating systems in public buildings and advanced solar-assisted heat pump designs. Education: BSc (USTC, 2006), PhD (USTC, 2011) Awards: FHEA, EU Marie Curie Fellowship Grants: £12k (Royal Society, 2022), EU/BEIS/EPSRC-funded projects His lab investigates cutting-edge energy solutions, including heat batteries, solar-driven ORC systems, and hydrogen-based CHP systems. He actively contributes to international conferences, delivering keynote speeches on sustainable energy advancements.

• Database Systems
• Data Management
• Scientific Data Processing
• +5 more

Dr. Martin L. Kersten is a leading figure in database systems research at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Netherlands. With over three decades of contributions, his work focuses on column-oriented database architectures, scientific data management, and query optimization. Key Research Areas: Database systems, big data processing, query performance analysis, data-intensive scientific applications Projects: MonetDB, SciQL, TELEIOS, ExaNeSt His recent publications emphasize in-database machine learning , query log mining , and exascale computing . He pioneered database cracking and intermediate recycling techniques to enhance query processing efficiency. 2014 SIGMOD Edgar F. Codd Innovations Award for groundbreaking contributions to database technology Collaborations span institutions like ICDE , VLD , and EuroSys workshops. His work bridges theoretical advancements with practical implementations for scientific and industrial applications.

• Distributed Energy Resources
• Smart Grids
• Distribution Network Automation
• +5 more

Sami Repo is a Professor in Electrical Engineering, focusing on power distribution systems and smart energy technologies. His work spans distribution network automation, flexibility services, and integration of distributed energy resources. Doctor of Science (Technology) in Electrical Engineering (2001) Master of Science (Technology) in Electrical Engineering (1996) His research interests include smart grids, congestion management, and cyber-physical energy systems. Recent publications address challenges in electric vehicle charging, green hydrogen regulation, and photovoltaic revenue optimization. He serves as an examiner and doctoral dissertation opponent, contributing to academic evaluation in electrical engineering programs. Key subtopics include EV charging control, EU energy policy, and renewable energy integration. Examiner for Wenlong Liao (2023): Modelling and optimization of active distribution networks Opponent for Etherden Nicholas (2012): Distributed energy resource hosting capacity

Henrik Myhre JensenView profile

Professor

• Mechanics of Materials
• Solid Mechanics
• Mechanical Engineering
• +4 more

Henrik Myhre Jensen is a Professor at the College of Engineering , Aarhus University, specializing in Mechanics of Materials , Solid Mechanics , and Mechanical Engineering . His research focuses on fracture mechanics, composite materials, and computational modeling of structural behaviors. Research Focus Fracture mechanics in composites and layered materials Computational modeling of kink band propagation Surface wear and coating technologies Ultrasound imaging applications in mechanical systems Notable Contributions Henrik has contributed to understanding crack propagation in cantilever beams, developed numerical methods for simulating delamination in composites, and explored buckling instabilities in solids. His recent work connects machine learning (holomorphic neural networks) to traditional fracture mechanics problems. Key Projects MAGFLY (2017-2021): Magnets for Flywheel Energy Storage InnoVacc (2009): Pressure Testing of Vacuum Chambers Simulation of composite structures (2011-2020): Micro-mechanical modeling