Find Academic Supervisors

• Mechanics of Materials
• Structural Engineering
• Composite Materials
• +3 more

Rajan Filomeno Coelho is a Visiting Professor at the Mechanics of Materials and Constructions department of Vrije Universiteit Brussel, Belgium. His research focuses on structural engineering, composite materials, and sensitivity analysis, with notable contributions to hybrid composite-concrete structures and deployable systems. His work emphasizes multi-objective optimization of structural components and BIM automation , reflecting expertise in computational modeling, material efficiency, and cost-benefit analysis. Key projects include investigations into scissor arches and hybrid beams. He has supervised research such as the 2020 thesis on Automated Classification of BIM Elements Using Supervised Machine Learning , though no scientific awards are documented in the provided texts.

Peter BiľakView profile

Part-Time Lecturer

• Type Design
• Graphic Design
• CJK Typography
• +6 more

Peter Biľak is a Slovakian graphic and typeface designer based in The Hague, currently serving as a Part-Time Lecturer at the Royal Academy of Art . He co-founded Typotheque in 1999 and Indian Type Foundry in 2009, focusing on multilingual typography, CJK systems, and accessibility (e.g., Zed Braille ). His work bridges type design with interdisciplinary collaborations, including modern dance with Make-Move-Think.org . Education : MFA in Graphic Design from the Jan van Eyck Academy (1999). Biľak’s research explores typographic principles across scripts (Latin, CJK, Indic), Braille spacing , and design ethics . His 15 most recent articles address vertical/horizontal writing systems , interdisciplinary design , and typeface functionality in urban contexts like the Paris Metro . He collaborates internationally, contributes to design theory, and advocates for reclusive creative practices as a response to digital visibility pressures. His typefaces (e.g., Greta , Fedra , Lava ) emphasize cultural inclusivity and technical precision.

Sergey KarabasovView profile

Professor

• Computational Fluid Dynamics
• Aeroacoustics
• Aerodynamics
• +5 more

Professor Sergey Karabasov is a leading academic in computational modeling and aeroacoustics at Queen Mary University of London’s School of Engineering and Materials Science . As Director of the Centre for Intelligent Transport , he bridges aerospace engineering with environmental technology and bioengineering. Education: PhD (1999, Moscow State University), DSc (2010, Keldysh Institute) Affiliations: Fellow of the Royal Aeronautical Society (FRAeS), Fellow of the Higher Education Academy (FHEA), Associate Fellow of AIAA (AFAIAA) Research Interests span multiscale fluid dynamics, computational aeroacoustics, and high-performance computing. His work addresses: Future Mobility: Noise reduction in urban air mobility and conventional aircraft Environmental Technologies: Turbulence modeling for renewable energy and climate systems Digital Twins: Physics-based and data-driven simulations for aerospace and bioengineering Article Trends focus on: Hybrid LES-acoustic models for jet noise Multiscale methods in nanofluidics and molecular systems GPU-accelerated algorithms (e.g., CABARET) for complex flows Climate dynamics (Southern Ocean jets, Chandler wobble) Scientific Awards include: Fellowships at Royal Aeronautical Society and Higher Education Academy Associate Fellowship at AIAA Guest Editor for Royal Society Phil.Trans. A theme issues (2014, 2019) Advising includes current PhD student Hussain Ali Abid and alumni working on: Jet noise optimization Graphene suspension rheology Hybrid molecular-continuum simulations Labs & Teams involve the Centre for Intelligent Transport , GPU-Prime.Ltd consultancy, and collaborations with institutions like Cambridge University and Keldysh Institute.

William BennettView profile

Lecturer

• Coastal Engineering
• Computational Modeling
• Climate Change Impact Assessment
• +4 more

Dr William Bennett is a Lecturer in Civil Engineering at Swansea University's Faculty of Science and Engineering. His research focuses on coastal engineering through advanced computational modeling, particularly examining climate change impacts on coastal flooding and erosion. Specializes in coastal hydrodynamics and morphodynamics Develops nature-based coastal protection strategies Active in flood risk management and climate adaptation Recent publications demonstrate expertise in salt marsh impacts on estuarine systems, compound flooding analysis, and wave-climate modeling. Collaborations span: Department of Civil Engineering colleagues Biosciences researchers (Dr John Griffin, Dr Chiara Bertelli) External partners (Natural Resources Wales, Environment Agency) Teaches modules covering: Engineering design fundamentals Coastal management practices Hydrodynamic modeling techniques

• Power Systems
• Renewable Energy Integration
• Inverter-Based Resources
• +4 more

Henrik Johansson is a doctoral student at the Division of Electromagnetic Engineering and Fusion Science (EMF), School of Electrical Engineering and Computer Science (EECS), Royal Institute of Technology (KTH). He focuses on interactions between power system protection algorithms and control strategies of inverter-based resources in grids with high power electronics penetration. B.Sc. and M.Sc. in Electrical Engineering and Electric Power Engineering from KTH (2020, 2022) Development engineer at Scibreak (HVDC auxiliary power supplies) Teaching assistant in mathematics courses at KTH His research intersects power systems, renewable energy integration, and grid protection algorithms. Recent publications analyze impacts of grid-forming inverters on distance protection schemes and adaptive fault detection methods. Articles highlight trends in power electronics integration and protection system design for modern grids. Scientific recognition includes the Teaching Assistant of the Year award from KTH electrical engineering students. He collaborates with Professor Nathaniel Taylor and Professor Xiongfei Wang on advancing protection strategies for grids with high renewable energy penetration.

• Additive Manufacturing
• Laser Metal Deposition
• Process Monitoring
• +3 more

Marco Mazzarisi serves as an Assistant Professor in the Department of Mechanics, Mathematics and Management at the Polytechnic University of Bari, Italy, specializing in Manufacturing Technology and Systems (ING-IND/16 classification). Based at Via Orabona 4, 70125 Bari, he can be contacted via marco.mazzarisi@poliba.it or the departmental line +39 080 596 3522. His research centers on laser-based additive manufacturing processes, with primary expertise in Laser Metal Deposition (LMD) and Directed Energy Deposition. Key investigation areas include real-time process monitoring using coaxial infrared systems and off-axis optical techniques, defect detection (particularly subsurface voids), melt pool dynamics analysis, and sustainability assessment through exergetic analysis. His work focuses on nickel-based superalloys (Inconel 718) and stainless steels (AISI 316L), addressing critical challenges in geometric accuracy, energy consumption, and material compatibility in hybrid manufacturing. Analysis of his 2020-2025 publications reveals consistent innovation in LMD monitoring methodologies. His research demonstrates strong interdisciplinary integration between thermal physics, optical engineering, and sustainable manufacturing principles. Notable contributions include the development of off-axis monitoring frameworks, causal models for void prediction, and exergy-based sustainability metrics that bridge process quality with environmental impact assessment. Scientific awards: No awards, fellowships, or medals are documented in the provided materials. Advising and grants: No information regarding graduate student supervision, research grants, or funding sources is provided in the source text. Laboratory facilities: The text does not specify any dedicated laboratories, research teams, or collaborative groups associated with Dr. Mazzarisi's work.

Pierre L'ÉcuyerView profile

Professor

• Stochastic Systems
• Random Number Generation
• Quasi-Monte Carlo Methods
• +6 more

Pierre L'Écuyer is a Full Professor in the Department of Computer Science and Operational Research at the Faculty of Arts and Sciences, University of Montreal. He holds a Canada Research Chair in Stochastic Simulation and Optimization and is a member of GERAD and CIRRELT research centers. His office is located at André-Aisenstadt building, room 3361, and he can be reached at 514 343-2143. Dr. L'Écuyer received his Baccalauréat in mathematics, Master's in operational research, and PhD in computer science with focus on operational research, all from the University of Montreal. His academic journey has led him to become one of the world's most influential researchers in stochastic simulation. His research focuses on stochastic systems modeling and simulation, with particular expertise in random number generation, quasi-Monte Carlo methods, simulation efficiency improvement, sensitivity analysis, and optimization. His work has practical applications in call centers, finance, communication systems, and revenue management. Analysis of his recent publications shows strong emphasis on randomized quasi-Monte Carlo methods, variance reduction techniques, and applications to complex optimization problems in service systems. Lifetime Professional Achievement Award from INFORMS (2020) Ranked among the most influential researchers worldwide by Mendeley/Elsevier (2019, 2020) ACM SIGSIM Distinguished Contribution Award (2016) Mercit Award from Canadian Operational Research Society (2014) Distinguished Service Award from INFORMS Simulation Society (2011) Urgel-Archambault Prize from ACFAS (2002) Dr. L'Écuyer has supervised numerous PhD and Master's students working on topics ranging from random number generation to call center optimization. His current research projects, funded by NSERC and other organizations, focus on fundamental tools for stochastic simulation, with applications extending through 2030. He leads the SIMUL research laboratory which has developed several important software tools including SSJ (Stochastic Simulation in Java), TestU01, and RNGStreams.

Vladimir MolkovView profile

Professor

• Hydrogen Safety Engineering
• Fire Safety Science
• Computational Fluid Dynamics
• +4 more

Vladimir Molkov is Professor of Fire Safety Science at Ulster University's Belfast School of Architecture and the Built Environment. A graduate of Moscow Institute of Physics and Technology (1977) with a PhD in Chemical Physics (1984) and DSc in Fire and Explosion Safety (1997), he previously headed the Fire Modelling Department at All-Russian Research Institute for Fire Protection. Since joining Ulster in 1999, he founded the Hydrogen Safety Engineering and Research Centre (HySAFER) in 2008, a globally recognized hub for hydrogen safety research. His research focuses on: Computational modeling of hydrogen-related hazards Cryogenic storage safety Flame dynamics and blast wave propagation Infrastructure risk assessment He secured £8M in external funding (2004-2019) for projects like HyTunnel-CS and leads safety education initiatives including the world's first MSc in Hydrogen Safety Engineering. Recent publications demonstrate strong emphasis on: Computational fluid dynamics (CFD) validation for hydrogen systems Cryogenic temperature safety mechanisms Infrastructure risk modeling for hydrogen vehicles Experimental validation of explosion phenomena Prof. Molkov contributes to international standards through: European Hydrogen Safety Panel ISO/TC197 Hydrogen Technologies committee IEA HIA Task 37 on Hydrogen Safety Education Committee chair at International Association for Hydrogen Safety

W. Cully HessionView profile

Professor

• Ecological Engineering
• Hydrology
• Stream Restoration
• +4 more

W. Cully Hession is a Professor and Graduate Program Director in the Biological Systems Engineering (BSE) department at Virginia Tech , where he has served since 2012. He directs the StREAM Lab , focusing on ecological engineering , stream restoration , and human-natural system interactions . His career spans roles at the University of Vermont and the Academy of Natural Sciences of Philadelphia. Education : PhD in Biosystems Engineering (Oklahoma State), MS & BS in Agricultural Engineering (Virginia Tech) Licensure : Professional Engineer (VA), Certified Ecological Designer (AEES) Research Interests center on stream channel processes , floodplain connectivity , UAV applications , and climate resilience . Current projects include Beaver Dam Analogs for stream restoration, drone-based LiDAR for floodplain mapping, and virtual watershed exhibits to bridge community-scientist dialogue. His work integrates hydrology , ecological design , and interdisciplinary education . Scientific Contributions include 15 recent articles on topics like UAV monitoring , streambank erosion , and antibiotic resistance in soils . He has secured over $278,911 in USDA funding for undergraduate research training and leads NSF-REU initiatives involving 14 faculty across 5 colleges. Awards : Fellow of the American Ecological Engineering Society (2024), UCOWR Education & Public Service Award (2021), and VT-BSE Faculty of the Year (2006, 2019). Teaching & Outreach includes directing BSE design projects and co-developing Virtual Watershed exhibits. As Graduate Program Director, he expanded BSE enrollment from 40 to 70 students and secured $50k+ for graduate recruitment. The StREAM Lab engages 14+ classes across 4 colleges with real-time monitoring data.

• Bioengineering
• Biomaterials
• Tissue Engineering
• +10 more

Devid Maniglio is an Associate Professor at the Department of Industrial Engineering, University of Trento. His research focuses on bioengineering, biomaterials, and tissue engineering, with a particular emphasis on bioprinting, surface modification, and functional materials. He has contributed to advancements in silk fibroin and hydrogel-based systems for medical applications. Research Interests Bioengineering for personalized medicine Biomaterials and surface engineering 3D bioprinting and tissue regeneration Molecular imprinting and biosensors Drug delivery and cell encapsulation Teaching Diagnostic and therapeutic technologies for personalized medicine Engineered materials for precision medicine Fundamentals of biomedical technologies Functional surfaces laboratory Labs & Collaborations Devid Maniglio is affiliated with the Functional Surfaces Laboratory at the University of Trento, collaborating with researchers such as Stefano Rossi and Flavio Deflorian. His work integrates interdisciplinary approaches in biomedical engineering and sustainable medical technologies.

• Microelectronics
• Radiation Effects on Electronics
• Semiconductor Reliability
• +3 more

Jean-Luc Autran is an Exceptional University Professor (PRCE2) at Aix-Marseille University, affiliated with the Department of Detection, Radiation and Reliability (DETECT) within the Faculty of Sciences. Since July 2023, he has been temporarily assigned to the University of Rennes for managerial roles. His research focuses on radiation effects in microelectronics, particularly soft errors caused by atmospheric neutrons, muons, protons, and terrestrial radiation in nanoscale devices. Key Research Areas: Microelectronics Reliability, Single-Event Effects, Atmospheric Radiation, Neutron Interactions, Muon Physics, Radiation-Hardened Design. Scientific Leadership: As an Honorary Member of the Institut Universitaire de France (since 2003), he leads multidisciplinary efforts from radiation metrology to multi-physics circuit simulation via tools like GEANT4, SRIM, and NGSPICE. His work spans 25+ years, evolving from quantum transport in nano-MOSFETs (1998-2008) to atmospheric radiation effects (2005-present). Recent Contributions: 2025 studies on ultrawide-bandgap semiconductors, deep learning-based radiation simulations, and JET Tokamak neutron experiments. He pioneers a multi-scale Single-Event Effect simulation framework for decananometer CMOS, integrating particle physics, device modeling, and system-level error rate prediction. Scientific Awards: Honorary Member, Institut Universitaire de France (2003 class). Educational Impact: Teaches graduate courses in quantum mechanics simulation, nanoelectronics reliability, and radiation detection at Aix-Marseille University, with lectures delivered in English for international audiences.

Park Chang JeView profile

Associate Professor

• Nuclear core design and reactor analysis
• Neutron transport and diffusion theory
• Monte Carlo theory and applications
• +5 more

Park Chang Je is an Associate Professor in the Department of Quantum and Nuclear Engineering at Sejong University , South Korea. He leads the Sejong Nuclear Core Design and Reactor Analysis Lab (SeNDAL) and has previously served as a Principal/Senior Researcher at the Korea Atomic Energy Research Institute (KAERI). His expertise lies in nuclear reactor design, neutron transport theory, Monte Carlo simulations, and spent nuclear fuel analysis. Education: Ph.D. in Nuclear Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2001 M.S. in Nuclear Engineering, KAIST, 1995 B.S. in Nuclear Engineering, Seoul National University, 1993 Research Interests: His research spans a wide range of nuclear engineering disciplines, including: Nuclear core design and reactor analysis Neutron transport and diffusion theory Monte Carlo theory and applications Spent nuclear fuel characterization and safeguards Thorium fuel cycle and small modular reactors Radiation shielding and nuclear safety Recent Research Trends: His recent publications focus on advanced nuclear reactor design, safety analysis of spent fuel storage systems, Monte Carlo-based shielding analysis, and innovative fuel cycle strategies. He has contributed to the design of thorium-based reactors, development of neutron multiplicity counting techniques, and evaluation of nuclear waste management systems. Research Projects & Funding: Development of Prompt Response In-Core Instrument and 3D Core Flux Distribution Synthesis Methodology (2023) Human Resources Development Project for High-Level Waste Management (2023) Development of manufacturing technology for neutron-absorbing composite materials for spent fuel storage (2022) Regulatory methodology development for protection against radiological sabotage (2020) Conceptual design of thorium-based ship reactors and space nuclear systems (2017–2021) Laboratory & Team: He directs the Sejong Nuclear Core Design and Reactor Analysis Lab (SeNDAL) , which focuses on reactor physics, nuclear fuel cycle analysis, and radiation transport simulations. The lab collaborates with domestic and international institutions including KAERI, KAIST, and international research reactors.

Dominic HenzeView profile

Professor

• Cyber-Physical Systems
• Smart Environments
• Machine Learning Applications
• +1 more

Dominic Henze is a Professor at the Technical University of Munich (TUM), affiliated with the Faculty of Informatics and the Chair of Software Engineering . He leads research initiatives in Cyber-Physical Systems , Smart Environments , and Machine Learning Applications , with a particular focus on Fog Computing architectures. His research spans theoretical frameworks and real-world implementations, including collaborations with institutions like Carnegie Mellon University and industry partners such as Siemens AG and Zeiss IMT . His work addresses challenges in resource allocation , predictive maintenance , and blockchain integration within industrial contexts. Dr. Henze's publications reveal a consistent focus on Fog Computing architectures, IoT resource management, and educational software engineering. Key trends include self-organizing network systems , decentralized supply chain traceability , and smart environment coordination . He has advised numerous students on topics ranging from QoS negotiation to autonomous drone coordination . As an educator, he has taught multiple iPraktikum courses and seminars on iOS development and Agile Project Management since 2014, with publications exploring team composition strategies and distributed programming pedagogy.

Oriol Guasch FortunyView profile

Professor

• Computational Acoustics
• Aeroacoustics
• Graph Theory in Vibroacoustics
• +3 more

Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source

Olav Gaute HellesøView profile

Professor

• Photonics
• Micro- and Nanotechnology
• Integrated Optics
• +4 more

Olav Gaute Hellesø is a Professor and Head of the Department of Physics and Technology at UiT The Arctic University of Norway, where he has been employed since 1998 and led the department since 2021. He is a member of the Ultrasound, Microwaves and Optics research group, focusing on integrated optics and optical trapping of micro- and nanoparticles. Education : Cand. Scient. from University of Bergen (1989), DEA and Dr. from INP de Grenoble, France (1990, 1994) His research spans photonics applications in biomedical engineering, including Raman spectroscopy for extracellular vesicle analysis, metasurface-based optical trapping, and waveguide sensor development. Recent publications highlight innovations in dielectric nanotweezers, BIC-supported trapping systems, and self-supervised learning for spectral analysis. Collaborators include Md Rabiul Hasan, Mathias Novik Jensen, and Balpreet Singh Ahluwalia, with work featured in Nature Photonics , Optics Express , and ACS Applied Optical Materials . His team explores optical manipulation of biological nanoparticles, methane detection via cryptophane-cladded interferometers, and crystalline structure quality assessment using near-infrared tomography. As department head, Hellesø coordinates research in integrated optics and photonics. His laboratory in Teknologibygget Tromsø 3.060 focuses on photonic chip technologies for particle trapping and spectroscopic analysis. Current projects include optimizing metasurface sensitivity, developing low-noise Raman systems, and advancing on-chip methane sensors.