Find Academic Supervisors

Frans N. van de VosseView profile

Professor

• Cardiovascular Biomechanics
• Computational Biomechanics
• Medical Devices
• +5 more

Frans N. van de Vosse is a full Professor at the Department of Biomedical Engineering , Eindhoven University of Technology. He leads the Cardiovascular Biomechanics research group, focusing on computational and experimental analysis of cardiovascular systems, medical devices, and clinical applications. Academic Background: MSc in Applied Physics (1982), PhD in Numerical Carotid Artery Flow Analysis (1987) from TU/e Professional Affiliations: Full Professor (since 2001), Lecturer in Fluid Mechanics (1987–2001) Research Interests span cardiovascular biomechanics, including Blood in Motion , Heart at Work , and Vessels under Stress . His work emphasizes computational models, experimental techniques, and medical devices for clinical diagnosis and intervention. Key Article Trends include fetal hemodynamics, virtual patient cohorts for coronary disease, abdominal aortic aneurysm progression, and fluid-structure interaction studies in heart valves. Many publications align with UN Sustainable Development Goals related to health and well-being. Media and Public Engagement highlights his contributions to artificial womb technology discussions and clinical device validation studies. His research has been featured in Professional Commentary and PR Activities in cardiovascular engineering.

Ozgur YilmazView profile

Professor

• Applied and Computational Harmonic Analysis
• Signal Processing
• Compressed Sensing
• +5 more

Ozgur Yilmaz is a Professor in the Department of Mathematics at the University of British Columbia (UBC). He is the Director of the Pacific Institute for the Mathematical Sciences (PIMS) and has held roles such as Interim Deputy Director at PIMS and Deputy Director at the Banff International Research Station (BIRS). His research focuses on applied harmonic analysis, signal processing, compressed sensing, and seismic signal processing. Education: PhD in Applied and Computational Mathematics from Princeton University (2001), B.Sc. in Mathematics and Electrical Engineering from Boğaziçi University (1997). Research Interests: Mathematical problems in analog-to-digital conversion, blind source separation, sparse approximations, compressed sensing, and their applications in seismic exploration. He has contributed to advancements in sigma-delta quantization, low-rank matrix recovery, and compressed sensing algorithms. Funding: Recipient of NSERC Discovery Grants, UBC Data Science Institute grants, and leadership in collaborative research groups (CRGs) on high-dimensional data analysis and applied harmonic analysis. His work bridges theoretical mathematics with practical applications in signal processing and AI-driven medical imaging. Students and Postdocs: Supervised numerous PhD and MSc students in areas like compressed sensing, seismic data reconstruction, and machine learning. Current advisees include Aaron Berk and Xiaowei Li. Former students hold positions at academic institutions and tech companies. Labs and Collaborations: Affiliated with UBC’s Data Science Institute (DSI), Centre for Artificial Intelligence Decision-making and Action (CAIDA), and the Institute of Applied Mathematics (IAM). Collaborates on projects integrating AI with scientific discovery, such as retinal biomarker identification using deep learning.

Zhenzhou WangView profile

Research Fellow

• Composite Materials
• Cryogenic Material Testing
• Multi-objective Design Optimization
• +7 more

Dr. Zhenzhou Wang is a Research Fellow at the University of Southampton, affiliated with the CERN-STFC HL-LHC Project. His research focuses on lightweight materials for liquid hydrogen storage systems in aircraft and ships, composite material modeling, and AI-driven multi-objective optimization. He is a member of the Energy Technology Group and has held roles such as Guest Editor for Polymers (2021-2023). Notable achievements include receiving the Dean's Award (2024) twice. His work integrates analytical and numerical methods to address challenges in aerospace materials, cryogenic testing, and structural optimization. Recent studies include evaluating thermoplastic polymers for cryogenic sealing, thermal fatigue effects on composites, and deployable composite boom design frameworks. Collaborations involve researchers from institutions like CERN and industry partners. Affiliations: University of Southampton (CERN-STFC HL-LHC Project), Energy Technology Group Key Projects: Liquid hydrogen fuel storage systems, spacecraft lightweight materials, AI optimization algorithms Awards: Dean's Award (2024)

Evangelos BoulougourisView profile

Professor

• Naval Architecture
• Marine Engineering
• Ocean Engineering
• +19 more

Professor Evangelos Boulougouris is Head of the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, where he also serves as Chair of the Maritime Safety Research Centre. He is a chartered professional engineer with over 28 years of internationally recognized research in maritime safety, design for safety, and holistic ship design. His work spans damage stability, autonomous vessels, alternative fuels, and ship survivability, with strong impact on international regulations through roles in IMO, ITTC, SNAME, and RINA. Research Interests: His primary research focuses on safety of marine operations, including damage and intact stability in waves, collision avoidance, ship evacuation, crashworthiness, and the integration of alternative fuels like ammonia and hydrogen. He leads cutting-edge work in multi-objective ship design optimization, risk modeling, and decarbonization strategies for advanced marine vehicles. The recent 15 publications highlight a strong trend toward digitalization and sustainability in shipping, combining machine learning for propeller optimization, CFD simulations for catamaran performance, real-time decision support in emergencies, and hybrid propulsion systems for zero-emission vessels. His work increasingly emphasizes climate resilience, port risk under extreme weather, and energy management in CTVs, aligning with global SDGs. Scientific Awards: 2020 Denny Medal SNAME ABS Captain Joseph H. Linnard Prize (2023) Safety 2020 Best Paper Award (2022) Honorable Mention for Vice Admiral E. L. Cochrane Award (2022) EU CHAMPIONS of Transport Research (HOLISHIP, TRA 2014) Greek Technical Innovation Award, Lloyd’s List (2009) 1st Prize, International SAFER SHIP Competition (1999) Advising and Grants: He actively supervises PhD students and has led numerous EU and UK-funded projects such as SEASTARS, SAFARI, EcoShipYard, and Digital Shipwright. As Principal Investigator and Co-I, he secures substantial research funding, coordinates knowledge exchange (KE) initiatives, and leads training programs across Europe. Labs and Teams: He leads the Maritime Safety Research Centre at Strathclyde, fostering interdisciplinary collaboration on ship safety, stability, and sustainable design. His team works closely with industry partners RCG and DNV, and engages in international networks through STAB, ITTC, and IMO committees.

Herman F. NiedView profile

Professor

• Polymer Processing
• Flexible Composites
• Fracture Mechanics
• +25 more

Herman F. Nied is a Professor in the Department of Mechanical Engineering & Mechanics at Lehigh University, where he has been since 1995. He served as department chair from 2002 to 2008 and has been a Fulbright Visiting Professor at the Technical University of Graz and a Visiting Research Scientist at the Fraunhofer Institut. Ph.D., Applied Mechanics, Lehigh University (1981) M.S., Applied Mechanics, Lehigh University (1978) B.S., Mechanical Engineering, University of Rochester (1976) Nied's research spans polymer processing, fracture mechanics, electronic packaging, welding, and computational methods. His lab focuses on finite element simulations for 3-D fracture analysis and thermoforming processes. He has graduated 25 Ph.D. and 35 M.S. students, holds 14 patents, and has received funding from Semiconductor Research Corporation, NSF, ONR, DARPA, and industry leaders like Ford and GE. Semiconductor Research Corporation National Science Foundation Office of Naval Research Department of Transportation DARPA Ford GE Awards include the NSF CAREER award, GE’s Saul Dushman Award, and Fellow of the American Society of Mechanical Engineers.

Kathleen MulvaneyView profile

Assistant Professor

• Cancer Biology
• Protein-Protein Interactions
• Cancer Therapeutics
• +7 more

Kathleen Mulvaney is an Assistant Professor at the Fralin Biomedical Research Institute at Virginia Tech and in the Department of Biomedical Sciences and Pathobiology at the Virginia-Maryland College of Veterinary Medicine. Her laboratory is located at the Children's National Research & Innovation Campus in Washington, D.C., where she leads research efforts focused on cancer biology and therapeutic development. Dr. Mulvaney's educational background includes: Ph.D. in Cell Biology from the University of North Carolina, Chapel Hill B.S. in Biology from the University of Rochester Dr. Mulvaney's research program centers on understanding and disrupting protein-protein interactions and protein modifications in cancer, with particular focus on pancreatic cancer and pediatric and adult brain cancers. Her laboratory investigates tumor dependencies - the specific enzymes and pathways that cancers rely on for survival - with the goal of translating these findings into meaningful clinical improvements for patient care. A significant portion of her recent work has focused on PRMT5, an enzyme found in approximately 15% of human cancers, exploring how to target this enzyme for therapeutic benefit. Her research employs CRISPR gene editing, molecular biology techniques, and biochemical approaches to identify vulnerabilities in cancer cells. Her laboratory has made significant contributions to understanding the molecular basis of substrate recruitment to the PRMT5 methylosome and has discovered first-in-class inhibitors of the PRMT5-substrate adaptor interaction. Recent work published in Cancer Research demonstrates a promising combination therapy approach for hard-to-treat cancers that lack specific tumor suppressor genes. These cancers, which include certain lung, brain, and pancreatic tumors, become dependent on PRMT5 for survival, making it a potential therapeutic target. Dr. Mulvaney has received numerous scientific awards and honors, including: National Institutes of Health F32 Ruth L. Kirschstein Postdoctoral Individual National Research Service Award (2018-2021) National Institutes of Health LRP Award (2019-2021) Sigma Xi Research Society Graduate Student Travel Award (2015) National Science Foundation Graduate Research Fellowship Honorable Mention (2011, 2012) Dr. Mulvaney actively mentors graduate students and postdoctoral researchers in her laboratory at the Children's National Research & Innovation Campus. Her research is supported by grants from the National Institutes of Health, including an R35 grant to examine cancer-related enzymes. She collaborates extensively with researchers across Virginia Tech and Children's National Hospital to advance cancer research and therapeutic development, participating in the Virginia Tech Cancer Research Alliance which brings together scientists and physicians to develop innovative approaches to cancer treatment. The Mulvaney Lab is part of the Cancer Research Center - D.C. at the Children's National Research & Innovation Campus, where they work alongside other researchers in the Children's Cancer and Immunobiology Center. This collaborative environment allows for interdisciplinary approaches to understanding cancer biology and developing novel therapeutic strategies, with particular emphasis on translating basic science discoveries into clinical applications for hard-to-treat cancers.

Jim ChenView profile

Professor

• Coastal Engineering
• Environmental Sciences
• Numerical Modeling
• +5 more

Jim Chen is a Professor at the Department of Marine and Environmental Sciences and holds an affiliation with the College of Engineering's Civil and Environmental Engineering at Northeastern University. His research focuses on coastal engineering and science, emphasizing numerical modeling to address coastal resiliency and sustainability, particularly in the context of hurricanes and sea-level rise. Education details are not explicitly provided in the text, but his expertise includes advanced modeling techniques applied to coastal systems. His work integrates field observations with computational methods, such as deep learning and physics-informed neural networks, to analyze wave dynamics, sediment transport, and vegetation effects on coastal processes. Key research areas include hurricane impact analysis on wetlands and engineered infrastructure, living shoreline restoration effectiveness, and the morphological evolution of coastal systems. His studies often involve rapid deployment of sensors during storms (e.g., Hurricane Laura) to monitor wave, current, and sediment dynamics, contributing to disaster preparedness and mitigation strategies. Notable collaborations include projects with the Shinnecock Indian Nation, Gandys Beach (New Jersey), and Chesapeake Bay, focusing on sustainable coastal management. His work bridges engineering and environmental science to enhance coastal resilience in vulnerable regions.

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
• +3 more

Prof. Joachim Schöberl is a faculty member at TU Wien's Faculty of Mathematics and Geoinformation, leading the Scientific Computing and Modelling research group. His academic career includes roles as a university professor (Univ.Prof.) with engineering and technical doctorates (Dipl.-Ing., Dr.techn.). Research focuses on advanced numerical methods, including finite element methods, computational fluid dynamics, and partial differential equations. He has pioneered high-order schemes for fluid-structure interaction, shell mechanics, and electromagnetic simulations. Notable contributions include the NGSolve finite element library and innovative approaches to curvature approximation in discrete geometry. Recent work emphasizes nonlinear elasticity modeling, fractional diffusion problems, and shape optimization for biomembranes. His team collaborates on projects like metascreen upscaling, micromorphic continuum models, and eddy current simulations in laminated materials. Prof. Schöberl advises PhD students researching mixed finite element methods, fractional operators, and computational mechanics. His lab develops open-source tools for high-performance scientific computing.

Corrado MauriniView profile

Professor

• Fracture Mechanics
• Damage Mechanics
• Computational Mechanics
• +5 more

Corrado Maurini is a Professor in Mechanics at Sorbonne University , Paris, France. He leads two international master programs: Mécanique des Solides (Solid Mechanics) and Computational Mechanics .

Hailong ChenView profile

Associate Professor

• Computational Mechanics
• Computational Materials
• Meshfree Methods
• +6 more

Hailong Chen is an Associate Professor in the Department of Mechanical and Aerospace Engineering within the Stanley and Karen Pigman College of Engineering at the University of Kentucky. His academic journey includes a Ph.D. in Mechanical Engineering from Arizona State University (2015) and an M.S. in Mechanical Engineering from the University of Florida (2012). Dr. Chen's research focuses on Computational Mechanics & Materials, with expertise spanning meshfree methods, multi-scale multi-physics modeling, mechanics of stochastic heterogeneous microstructures, and pervasive fracture and impact modeling. His work bridges theoretical developments with practical engineering applications through the CM 3 (Computational Mechanics and Methods) research group, which develops advanced computational techniques for real-world mechanics problems. The CM 3 group specializes in multi-scale multi-physics modeling of solid materials, damage and failure analysis under extreme conditions, mechanics of stochastic heterogeneous microstructures (composites, polycrystals), and computational materials engineering. Recent publications demonstrate strong activity in peridynamics, lattice particle methods, and computational homogenization techniques for fibrous and porous materials. Dr. Chen's research has resulted in numerous publications in top journals including Computer Methods in Applied Mechanics and Engineering and Mechanics Research Communications, with recent work focusing on generalized peridynamic formulations, micro-CT-based property computation, and fluid-structure interaction frameworks for hypersonic applications. His academic progression shows steady advancement from Postdoctoral Computational Scientist at Idaho National Laboratory (2015-2018) to Assistant Professor (2018-2024) and currently Associate Professor (2024-present) at the University of Kentucky.

• Theoretical Computer Science
• Algorithm Design
• Distributed Computing
• +6 more

Yannic Maus is a University Professor at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology (TU Graz), Austria, where he heads the newly founded Institute of Algorithms and Theory (established in 2025). He also serves as co-leader of one of the five fields of expertise at TU Graz (FoE Information, Communication & Computation). His academic journey includes: PhD in Computer Science from University of Freiburg, Germany (2014-2018) MSc in Mathematics from RWTH Aachen, Germany BSc in Mathematics and Computer Science from RWTH Aachen, Germany (with a year at National University of Singapore) Professor Maus specializes in theoretical computer science and algorithm design, with a particular focus on distributed computing. His research spans distributed graph algorithms, efficient algorithms, data structures, complexity theory, and geometric algorithms. He approaches problems with both theoretical rigor and practical applications in mind, seeking clean mathematical solutions to questions motivated by real-world systems. His recent publications show a strong focus on distributed and parallel algorithms, particularly in graph theory. The research trends include distributed graph coloring, symmetry breaking, vertex cover problems, and massively parallel computing models. His work often bridges theoretical computer science with practical distributed systems considerations, with applications to large-scale networks and highly parallel systems. Professor Maus has received numerous accolades for his research: 2020 Principles of Distributed Computing Doctoral Dissertation Award Wolfgang-Gentner-Nachwuchsförderpreis 2019 GI Dissertationspreis 2018 Best Paper Awards at SIROCCO 2016, DISC 2016, and DISC 2017 Professor Maus actively mentors PhD students and has secured significant research funding, including FWF grants P36280-N (2023-2027), DOC 183 (2024-2028), I6915 (2024-2028), and FFG grant No. 59263962. His research group maintains strong international collaborations with institutions across Germany, Finland, Iceland, Israel, and beyond, providing students with opportunities for international research visits. He leads the Algorithms & Complexity research group at TU Graz, which includes PhD students Manuel Jakob, Florian Schager, Malte Baumecker, and Kritika Kashyap, as well as postdoc Tijn de Vos. The group is actively involved in theoretical computer science research with a focus on distributed and parallel algorithms, particularly for large-scale networks and highly parallel systems.

• Cellular Automata
• Computational Dynamics
• Theoretical Computer Science
• +4 more

Martin Delacourt is a Lecturer at the University of Orléans, affiliated with the LIFO (Laboratoire d'informatique fondamentale d'Orléans). He earned his PhD on December 5, 2011, under the joint supervision of Bruno Durand and Victor Poupet at LIF Marseille. His research focuses on cellular automata, including directional dynamics, limit sets, and decidability of computational problems. PhD: University of Montpellier 2 (2011) ENS Lyon: Bachelor (2006), Master (2008) His research explores cellular automata through computational complexity, symbolic dynamics, and formal verification. Key themes include limit set characterization, defect dynamics, and algorithmic properties of number systems. He has published in conferences like AUTOMATA, MFCS, and CiE. Teaching responsibilities include courses in network engineering, computability, complexity theory, operating systems, and algorithm analysis at the University of Orléans. He has supervised work-study students in the MIAGE program since 2018.

Antti H. NiemiView profile

Professor

• Computational Solid Mechanics
• Structural Engineering
• Civil Engineering
• +5 more

Antti H. Niemi is a Professor and Dean at the University of Oulu 's Faculty of Technology , specializing in computational solid and structural mechanics. His research focuses on advanced numerical methods for engineering analysis and design. Research areas include computational mechanics, structural engineering, and metamaterials Develops innovative finite element methods for thin-body problems Current projects address snow structures, timber building envelopes, and machine learning applications in mechanical systems His recent work emphasizes discontinuous Petrov-Galerkin (DPG) methods for plates and shells, with applications in civil and mechanical engineering. Publications cover: Snow and ice vaults (2024) Machine learning for steel beam capacity prediction (2024) Hygrothermal analysis of timber structures (2024) DPG formulation for Reissner-Mindlin plates (2023) Shell element benchmarking (2018-2022)

• Timber Engineering
• Structural Engineering
• Timber Frame Construction
• +5 more

Professor Abdy Kermani serves as Professor and Director of the Centre for Timber Engineering within the School of Engineering and The Built Environment at Edinburgh Napier University. With over 80 research outputs spanning nearly two decades, his work focuses on advancing timber engineering practices and sustainable construction methodologies. His research portfolio includes significant contributions to timber frame construction, structural analysis, and innovative timber applications in building systems. Professor Kermani's research interests center on timber engineering with particular emphasis on structural performance, racking behavior in timber framed walls, vibration analysis of timber floors, and innovative applications of timber in bridge construction. His work bridges theoretical analysis with practical applications, addressing critical challenges in sustainable construction and building performance. Through his leadership at the Centre for Timber Engineering, he has developed methodologies for assessing timber structural elements and implemented innovative design approaches for timber construction systems. Analysis of Professor Kermani's 15 most recent publications reveals a consistent focus on timber structural performance, with particular attention to racking resistance in timber framed walls, vibration characteristics of timber floors, and innovative applications of timber in structural systems. His research demonstrates a progression from fundamental structural analysis toward practical implementation of timber engineering solutions, with increasing emphasis on computational modeling and optimization techniques in recent years. KTP Simpson Strong Tie (2007-2012): £191,048 - Developed structural elements for timber frame market providing racking resistance KTP Diageo Plc (2007-2011): £213,688 - Optimized whisky cask design POC: Composite Insulated Beams (2004-2009): £179,881 James Jones & Sons Ltd (2004-2006): £70,429 - Secured European Product Approval for timber products Oregan Timber Frame Ltd (2004-2006): £69,596 - Developed integrated manufacturing strategy Professor Kermani has supervised numerous doctoral students including Roshan Dhonju (Racking performance of platform timber framed walls), Ahmed Mohamed (Photogrammetric techniques for evaluating timber properties), Eleni Tsechelidou (Investigating gaps in civil engineering education), Zaihan Jalaludin (Water vapour sorption behaviour of wood), and Kenneth Leitch (Development of a hybrid racking panel). His leadership extends to the Centre for Timber Engineering, where he directs research initiatives focused on advancing timber construction technologies and promoting sustainable building practices through innovative engineering solutions.

Federica SandroneView profile

Lecturer

• Rock Mechanics
• Tunnel Engineering
• Underground Construction
• +4 more

Federica Sandrone is a Lecturer at the School of Architecture, Civil and Environmental Engineering (ENAC) at École Polytechnique Fédérale de Lausanne (EPFL), where she also serves as a Scientist at the Laboratory of Experimental Rock Mechanics (LEMR) within the Institute of Civil Engineering. Her academic career spans over 15 years with continuous contributions to tunnel engineering and rock mechanics research. Her research focuses on the intersection of rock mechanics and tunnel engineering, with particular expertise in tunnel pathology analysis, TBM performance in challenging geological conditions, and long-term tunnel behavior. Sandrone's work bridges theoretical analysis with practical engineering applications, addressing real-world problems in tunnel infrastructure management and maintenance. Her research methodology combines field investigations, laboratory testing, and numerical modeling to understand complex geomechanical behaviors. Analysis of her recent publications reveals a consistent focus on tunnel inspection methodologies, TBM performance prediction in difficult ground conditions, and the long-term behavior of tunnel structures. Her work has evolved from fundamental tunnel pathology studies to more advanced applications involving GIS integration, probabilistic modeling, and modern inspection techniques including laser scanning and image analysis. Engineer at SBB-Infrastructure (2008-present) responsible for Tunnels Management and Maintenance Assistant for Tunnel Engineering courses (2007-present) PhD supervision including Erika Paltrinieri's 2015 thesis on TBM performance Development of tunnel inspection methodologies and condition assessment procedures Her teaching activities include courses in Rock Mechanics and Underground Construction, where students learn about the mechanical behavior of rock materials, tunnel excavation and support design, planning and management of underground works, and risk assessment in tunnel construction.