Find Academic Supervisors

• Catalysis
• CO₂ Valorization
• Kinetic Modeling
• +4 more

Dr. Sofia Angeli is a Group Leader at the Institute of Catalysis Research and Technology (IKFT), Karlsruhe Institute of Technology (KIT), Germany, since March 2024. Previously, she held roles as Senior Scientist/Group Leader (2021–2024) and Postdoctoral Researcher (2017–2019) at KIT. Her research focuses on catalysis for energy transition, CO₂ valorization, kinetic modeling, and digitalization of catalytic processes. She leads interdisciplinary projects integrating experimental and computational methods to advance sustainable chemical processes. PhD in Chemical Engineering (2016): Aristotle University of Thessaloniki, Greece. Thesis: Hydrogen production via intensified methane steam reforming processes. M.Sc. in Advanced Materials (2012): Aristotle University of Thessaloniki. Diploma in Chemical Engineering (2009): Aristotle University of Thessaloniki. Research Interests : Sofia’s work spans kinetic modeling, CO₂ conversion, catalytic pollutant removal, and digital tools for catalysis research. She develops novel catalysts for methane reforming and designs data management systems like Adacta and CaRMeN to streamline reaction mechanism analysis. Her projects often address industrial challenges in emissions reduction and renewable energy. Her recent publications emphasize catalytic processes for energy sustainability (e.g., methane oxidative coupling) and automated modeling frameworks. She collaborates widely, contributing to journals like Chemical Engineering Journal and ACS Catalysis . Advising & Teams : As a Group Leader, she oversees researchers in catalysis and data-driven processes. Her team works on cutting-edge projects supported by KIT’s infrastructure and interdisciplinary networks. Labs/Teams : Active in the IKFT and the Deutschmann Group, focusing on catalyst design and process intensification.

• Applied Mathematics
• Numerical and Computational Mathematics
• Partial Differential Equations
• +4 more

Prof. Vanessa Styles is a Professor and Head of the School of Mathematical and Physical Sciences at the University of Sussex. Her research focuses on mathematical and computational analysis of nonlinear partial differential equations, with applications in physical sciences, including materials science, fluid dynamics, and biological modeling. She specializes in numerical methods for evolving surfaces, phase field models, and free boundary problems. Her work often involves interdisciplinary collaborations, addressing challenges in lithium batteries, tumor growth, and cell migration. Prof. Styles has led major grants, including ModCompShock (EU) and Leverhulme-funded projects on cell migration mechanics. She teaches calculus courses and actively contributes to academic leadership. Her research interests span computational fluid dynamics, numerical analysis of PDEs, and mathematical biology. Recent work emphasizes tumor growth modeling via phase field approaches, crystal growth in batteries, and cell migration force estimation. She has published extensively in journals like Interfaces and Free Boundaries and Journal of Computational Physics , with a focus on rigorous error analysis and algorithm development. Grants include funding for modeling grain boundary motion (EPSRC), 3D cell migration (Leverhulme), and shock interface modeling (EU). Her research bridges theoretical analysis and practical applications, with contributions to both fundamental mathematics and engineering/medical fields.

• Crystal Plasticity
• Strain Gradient Plasticity
• Fluid-Structure Interaction
• +4 more

İzzet Özdemir is an Associate Professor in the Department of Civil Engineering at Izmir Institute of Technology (IYTE). He holds a B.S. from Orta Doğu Teknik Üniversitesi, an M.S. from Universität Stuttgart, and a Ph.D. from Eindhoven University of Technology, all in Civil Engineering. His research focuses on advanced materials modeling, microscale mechanics, and fluid-structure interaction in biomedical and engineering applications. Key areas include crystal plasticity, strain gradient plasticity, and micromechanical modeling of size effects in materials processing. Education: B.S., Civil Engineering, Orta Doğu Teknik Üniversitesi M.S., Civil Engineering, Universität Stuttgart Ph.D., Civil Engineering, Eindhoven University of Technology Research emphasizes computational modeling of material behavior under extreme conditions, with recent work on magnetically driven micro-swimmers and fracture mechanics in polycrystalline systems. His publications span topics from microforming simulations to photocatalytic thin films. Publications reflect interdisciplinary strengths in mechanical engineering, materials science, and applied mathematics. Ongoing work explores bioinspired propulsion systems and nanoscale deformation mechanisms.

• Nonlinear Dynamics
• Vibration Control
• Energy Transfer
• +3 more

Alexander F Vakakis is the Donald Biggar Willett Professor of Mechanical Science and Engineering and holds a joint appointment in Aerospace Engineering at the University of Illinois' College of Engineering. His research focuses on nonlinear dynamics, vibration control, and energy transfer in mechanical systems. He has pioneered work on nonlinear energy sinks (NES) and targeted energy transfer (TET) mechanisms, with applications in aerospace, structural engineering, and acoustics. His recent studies explore phenomena like vibro-impact systems, nonlinear metamaterials, and data-driven methods for modal interaction analysis in fighter aircraft. Key research interests include nonlinear oscillators, wave localization, acoustic non-reciprocity, and the design of energy-dissipative structures. He has contributed to understanding energy redistribution in complex systems, such as subsea power cables and seismic mitigation frameworks. His work frequently bridges theory, computation, and experimental validation. Dr. Vakakis has authored over 500 publications, with recent articles addressing topics like topological interface modes in metamaterials, interband energy transfer in phononic lattices, and super-slow hysteresis dynamics. His research emphasizes leveraging strong nonlinearities to achieve novel engineering solutions. Awards: ASME Fellow (2012), Humboldt Research Award (2019) Collaborations: Active in aerospace dynamics, structural health monitoring, and metamaterial design Grants & Labs: Leads projects funded by NSF and industry partners; affiliated with Illinois' Nonlinear Systems Lab

Timothy D. StarkView profile

Professor

• Geotechnical Engineering
• Energy-Water-Environment Sustainability
• Railroad Geotechnics
• +6 more

Dr. Timothy D. Stark is a Professor of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign and CEE Excellence Faculty Scholar. With expertise in geotechnical engineering, he focuses on static and seismic stability of slopes, dams, levees, waste containment facilities, railroad geotechnics, and geosynthetics. His interdisciplinary research bridges theoretical and applied engineering, with significant contributions to geomembrane technology and slope failure mechanisms. Education: B.S. (University of Delaware, 1981), M.Eng. (UC Berkeley, 1984), Ph.D. (Virginia Tech, 1987) Research interests include geotechnical stability analysis, geosynthetics, waste containment systems, three-dimensional slope modeling, and geothermal energy applications. Recent work explores liquefaction in earthquakes, landfill fires, and advanced monitoring techniques like LiDAR and seismic surface wave testing. His publications span 15 recent articles on topics such as geosynthetic interface strength, wildfire-affected soil properties, and levee remediation methods. Awards highlight his impact across teaching, research, and service, including the prestigious George H. Norman Medal and Walter Huber Prize. Key Consulting Roles: Fundão Tailings Dam failure (Brazil), Bridgeton Landfill fire (MO), Yeager Airport landslide (WV) Leadership: Vice President, International Geosynthetics Society (2017–2021); Editor, ASCE Journal of Geotechnical and Geoenvironmental Engineering (1997–2023)

• Conservation Laws
• Finite Volume Schemes
• Discontinuous Galerkin Methods
• +7 more

Professor Siegfried Müller is a full professor at the Institute for Geometry and Practical Mathematics within the Faculty of Mathematics, Computer Science and Natural Sciences at RWTH Aachen University. His research focuses on developing advanced numerical methods for solving complex fluid dynamics problems, with particular expertise in conservation laws, adaptive multiscale techniques, and multiphase flow modeling. He maintains an active research program with numerous publications in leading computational mathematics journals and collaborates extensively with researchers across multiple institutions. Professor Müller's research interests span a wide range of computational mathematics topics including Conservation Laws, Finite Volume Schemes, Discontinuous Galerkin Methods, Adaptive Multiscale Techniques, and specialized applications in Fluid Dynamics. His work demonstrates particular strength in developing numerical methods for two-phase flow systems, transpiration cooling applications, and surface lubrication phenomena. His research bridges theoretical mathematical analysis with practical engineering applications, particularly in aerospace and mechanical engineering contexts. His recent publications reveal a strong focus on advancing numerical techniques for hyperbolic conservation laws, with increasing emphasis on stochastic methods, multilevel approaches, and coupled system modeling. His work spans both theoretical developments in numerical analysis and practical applications in fluid dynamics, with particular attention to multiphase flow systems and cooling technologies. The publications show a clear progression toward more complex, high-dimensional problems and increasingly sophisticated numerical techniques to address computational challenges. Professor Müller has led and participated in numerous research projects funded by German research organizations including DFG Priority Programmes, BMBF projects, and DFG Research Training Groups. His projects have focused on hyperbolic balance laws, adaptive numerical methods, transpiration cooling, and textured surface lubrication. He has organized multiple workshops on multiresolution methods and active drag reduction, demonstrating leadership in his research community. Professor Müller's research group at RWTH Aachen collaborates closely with engineering departments and industry partners to apply advanced numerical methods to practical engineering challenges. His team has developed specialized computational tools for simulating complex fluid phenomena, particularly in aerospace applications where cooling technologies and fluid-structure interactions are critical. The group maintains strong connections with international research communities in computational mathematics and fluid dynamics.

• Network Protocols Engineering
• Cybersecurity
• Distributed Systems
• +3 more

Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.

Pedro EstrelaView profile

Professor

• Biosensors
• Chemical Sensors
• Nanobiosensors
• +5 more

Pedro Estrela is a Professor in the Department of Electronic & Electrical Engineering at the University of Bath, where he directs the Centre for Bioengineering & Biomedical Technologies (CBio). His research focuses on developing label-free electrical biosensors and chemical sensors for applications in medical diagnostics and environmental monitoring. Key areas include electrochemical impedance spectroscopy, nanobiosensors, microfluidics, and organ-on-chip technologies. Prof. Estrela holds a Doctor of Philosophy in Physics from the University of Amsterdam and a Master of Physics in Condensed Matter Physics from the University of Lisbon. His multidisciplinary work involves collaborations with engineers, chemists, biologists, and clinicians. Recent publications demonstrate strong emphasis on nanotechnology-enabled diagnostic platforms, including SARS-CoV-2 detection systems, sepsis biomarkers quantification, and transdermal microneedle devices. Research trends indicate increasing integration of nanomaterials, CRISPR technology, and additive manufacturing for developing point-of-care diagnostics. The work consistently addresses global health challenges through innovations in rapid testing and environmental surveillance. Prof. Estrela leads multiple collaborative projects in water monitoring and nanomedicine, supported by substantial research grants. His laboratory focuses on translating fundamental discoveries into practical biomedical solutions through industry partnerships.

Ioan NistorView profile

Professor

• Coastal Engineering
• Hydraulic Engineering
• Extreme Hydrodynamic Loading
• +5 more

Dr. Ioan Nistor is a Professor of Hydraulic and Coastal Engineering at the University of Ottawa , affiliated with the Department of Civil Engineering . He also serves as the Assistant Vice-Provost, Graduate and Postdoctoral Studies . His research focuses on hazards associated with extreme hydrodynamic loading on infrastructure, coastal erosion, and disaster risk reduction. He chairs the Maritime and Coastal Division of IAHR and contributes to design guidelines for tsunami-resistant buildings through the ASCE7 Tsunami Loads Subcommittee . Dr. Nistor holds editorial roles at Journal of Waterways, Ports, Coastal and Ocean Engineering (ASCE), Coastal Engineering Journal , and Canadian Journal of Civil Engineering . He has received prestigious awards, including the 2014 JWPCOE Outstanding Paper Award and the 2010 Tsunami International Society Award. Prior to academia, he worked as a hydraulic engineer at AECOM-TECSULT Montreal , contributing to water resources projects globally. Research Interests: Tsunami impact mitigation, dam failure analysis, coastal vegetation dynamics, climate change adaptation, and nature-based solutions for coastal protection. Professional Activities: Board member of the Canadian Coastal Science and Engineering Association, voting member of ASCE7 Tsunami Subcommittee. His recent work emphasizes probabilistic tsunami hazard assessments and the integration of ecological engineering principles into coastal infrastructure design. Collaborative projects include Living Dyke initiatives and field studies on post-disaster resilience.

Michael TempletonView profile

Professor

• Environmental Engineering
• Infectious Diseases
• Public Health Engineering
• +6 more

Professor Michael Templeton is a leading academic in Public Health Engineering at Imperial College London , affiliated with the Faculty of Engineering and the Department of Civil and Environmental Engineering . He also holds the Royal Academy of Engineering Research Chair in Global Sanitation Technology , working closely with organizations like Oxfam , Water For People , and the International Worm-Based Sanitation Association . His work addresses critical issues in water supply , sanitation , and public health , particularly in regions affected by schistosomiasis and water scarcity . Professor Templeton earned a Bachelor's degree with honours in Engineering Science and a PhD in Civil-Environmental Engineering , both from the University of Toronto . He is a chartered civil engineer , Fellow of the Institution of Civil Engineers , and elected Fellow of the African Academy of Sciences . His professional experience includes advisory roles for the World Health Organization , Ethiopian Federal Ministry of Health , and various research councils. Environmental Engineering : Water treatment Infectious Diseases : Schistosomiasis control Global Health : Sanitation in low-income settings Climate Resilience : Cold region sanitation Waste Valorization : Biochar from faecal sludge Diagnostic Innovation : Biosensors for pathogens His most recent research explores stormwater odorants , UV disinfection , and smartphone-based water quality monitoring . He has also advanced tiger worm toilets and citizen science approaches in data-scarce regions. His work spans 15 countries including Ghana , Sierra Leone , India , and Ethiopia . Scientific awards and honors include: Fellow of the Institution of Civil Engineers Elected Fellow of the African Academy of Sciences Royal Academy of Engineering Research Chair Professor Templeton has no listed students in the provided data but has contributed extensively to sanitation innovation , waterborne disease prevention , and capacity-building in developing nations. He has led field projects and published on vermifiltration systems , biochar production , and disinfection byproducts .

• Motor Control
• Motor Learning
• Neuromechanics
• +3 more

Matteo Bertucco is an Associate Professor at the University of Verona, affiliated with the Department of Neurosciences, Biomedicine, and Movement Sciences within the Faculty of Medicine and Surgery. His academic roles include membership in multiple PhD program committees and teaching boards. He holds a Postdoc from the University of Southern California and completed his PhD, M.S., and B.S. at the University of Verona. **Research Focus**: Dr. Bertucco specializes in motor control, biomechanics, and neuromechanics, with a focus on understanding how the nervous system coordinates voluntary movements and postural stability. His work addresses pediatric movement disorders, postural control in adults and children, and the neurophysiological mechanisms underlying locomotion and motor learning. He combines engineering, computational modeling, and neurological principles in his research. **Teaching**: He teaches modules across undergraduate and graduate programs, including 'Biomechanics and Motor Control,' 'Human Movement Planning and Control,' and courses in sport management and preventive exercise science. His teaching spans 48 modules across various departments, emphasizing practical applications of motor science principles. **Research Groups & Labs**: He is part of research groups studying biomechanics, neurosciences, and physical activity effects on health. Key labs include the Biomechanics and Motor Control Laboratory, Neurophysiology Labs, and the WHO Collaborating Centre for Mental Health. His research is supported by grants such as the FFABR 2017 funding for motor control studies. **Publications**: His recent work explores topics like postural adjustments during fatigue, sensorimotor integration in movement, and gait analysis technologies. Themes include neuromuscular fatigue effects, predictive motor control, and clinical applications in pediatric neurology. **Grants & Collaborations**: He leads projects on motor control under the FFABR initiative and collaborates on international research on cerebral palsy and exercise physiology. His interdisciplinary approach bridges clinical, computational, and biomechanical domains.

Wangzhong MuView profile

Senior Lecturer

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +3 more

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

Dirk LebiedzView profile

Professor

• Optimal Control
• Chemical Kinetics
• Dynamical Systems
• +6 more

Prof. Dirk Lebiedz is a full professor at the Institute of Numerical Mathematics, University of Ulm, specializing in optimal control, mathematical modeling, and dynamical systems. He holds a PhD in Physical Chemistry and dual Diplom degrees in Chemistry and Mathematics from the University of Münster. His career includes habilitations in Physical Chemistry (Heidelberg), Bioinformatics (Freiburg), and Mathematics (Freiburg). He has led research groups focusing on model reduction in multi-scale systems, with applications in combustion chemistry, biological signaling, and medical treatment optimization. Education: 1998: Diplom in Chemistry (Münster) 2002: Diplom in Mathematics (Münster) 2001: PhD in Physical Chemistry (Münster) 2007: Habilitation in Physical Chemistry (Heidelberg) 2010: Habilitation in Mathematics (Freiburg) Research Interests: Prof. Lebiedz’s work spans optimal control theory, nonlinear dynamics, and computational methods for complex systems. He develops geometric and differential geometric approaches to model reduction, focusing on slow invariant manifolds in chemical and biological systems. His research also explores interdisciplinary applications in medicine, ecology, and music theory, such as mathematically modeling circadian rhythms and linking mathematical principles to philosophical and artistic concepts. Recent Work Trends: His recent publications emphasize holomorphic dynamical systems, invariant manifold analysis, and applications of differential geometry. He investigates complex-time systems and their connections to fundamental mathematical problems like the Riemann Hypothesis. His articles often bridge pure mathematics with applied fields like combustion engineering and biomedical modeling. Awards & Recognition: He has held visiting professorships at Heidelberg University and secured multiple habilitations across disciplines, reflecting his interdisciplinary impact. Labs/Teams: Leads the Institute of Numerical Mathematics at Ulm, focusing on computational methods for multi-scale systems. Collaborates with the Center for Integrative Biological Signaling Studies (Freiburg) and the SFB 1391 (Tübingen).

Stephen RamseyView profile

Associate Professor

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +6 more

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Francisco RuizView profile

Associate Professor

• Fuel Atomization
• Internal Combustion Engines
• Regenerative Thermodynamic Cycles
• +2 more

Dr. Francisco Ruiz is Associate Professor of Mechanical and Aerospace Engineering at Illinois Institute of Technology's Armour College of Engineering, specializing in thermal sciences and energy systems. Education: Ph.D. in Mechanical Engineering from Carnegie Mellon University (1987) M.S. in Mechanical Engineering from Carnegie Mellon University (1985) B.S. in Aerospace Engineering from Universidad Politécnica de Madrid (1983) His research investigates fundamental mechanisms of fuel atomization, cavitation effects in injection systems, and advanced internal combustion concepts including regenerative cycles and natural gas engines. He pioneers computational modeling approaches for combustion optimization and has developed innovative curriculum frameworks for engineering innovation. Publications demonstrate enduring focus on adaptive thermodynamic cycles, combustion stability, and fluid atomization physics. Recent work examines novel engine architectures and combustion modeling techniques for efficiency improvement. Awards recognize research and educational innovation: Tanasawa Award for atomization research (1988) SAE Teetor Award (1990) Chicago Tribune All-Professor Team (1993) He leads the Invention Center pedagogy initiative transforming engineering education through design thinking methodologies. Professional memberships include SAE, Tau Beta Pi, and Pi Tau Sigma.