Find Academic Supervisors

• Agriculture
• Multidisciplinary Soil Science
• Meteorology & Atmospheric Sciences
• +8 more

Dr. Alberto Sanz Cobena is a full Professor in the Department of Chemistry and Food Technology at the School of Agronomic and Forestry Engineering (ETSIAAB), Universidad Politécnica de Madrid (UPM). He has led numerous research projects, including EU-funded FP7-ENV-2011 (2011–2015), national projects like PID2019-10792RB-I00 (as Principal Investigator), and private collaborations with Agrotain and EuroChem Agro. His international research experience includes positions at Wageningen University, ILRI (Kenya), and CNRS/UPMC (France). Academic Affiliation: UPM, Department of Chemistry and Food Technology Research Networks: Global Research Alliance, REMEDIA network (co-founder), UNECE Task Force on Reactive N International Collaborations: 10+ countries across public and private sectors His research focuses on nitrogen dynamics and greenhouse gas mitigation in agricultural systems, spanning parcel-scale experiments to national and Mediterranean regional analyses. Key methodologies include meta-analysis , nutrient budget modeling , and LCA-based carbon footprinting . He has published 55 SCI-indexed articles (50 Q1, 5 Q2) with an h-index of 23 (Web of Science) and 25 (Google Scholar), totaling 1,903 citations (WOS) and 2,819 (GS). Recent work emphasizes agroecological transitions (e.g., Farm to Fork Strategy), nitrogen circularity , and sustainable food systems . His articles highlight innovations like the NBCalCer model for nitrogen cost-benefit analysis and OpenToolFlux for GHG flux estimation. He has directed 20 final-degree projects, co-supervised 3 PhD theses, and tutored Juan de la Cierva postdoctoral researcher Eduardo Aguilera Fernández. His outreach includes 6 organized international workshops and active participation in scientific dissemination events like Semana de la Ciencia.

Rui LiuView profile

Associate Professor

• Advanced Manufacturing
• Tool Condition Monitoring
• Machining Process Optimization
• +3 more

Rui Liu is an Associate Professor in the Department of Mechanical Engineering at the Rochester Institute of Technology's Kate Gleason College of Engineering. His research focuses on advanced manufacturing processes with emphasis on tool condition monitoring and machining optimization. Dr. Liu holds a BS from Beijing University of Aeronautics and Astronautics, MS from Northeastern University, and PhD from Georgia Institute of Technology. His educational background spans jet propulsion, vibration analysis, and manufacturing engineering. His research in advanced manufacturing encompasses tool condition monitoring systems using machine learning techniques, machining process optimization, and material behavior modeling during various machining operations. Key areas include developing cost-effective monitoring systems for cutting tools, understanding material behavior through fundamental cutting mechanics, and optimizing cutting conditions to enhance productivity and tool life. Analysis of Dr. Liu's publications reveals strong focus on machining process monitoring through acoustic signals, chip formation dynamics, and physics-based material modeling. His work bridges traditional manufacturing with data-driven approaches, particularly in tool wear monitoring and machining simulation. Scientific recognition includes: National Science Foundation CAREER Award for advanced manufacturing workforce development Dr. Liu actively mentors graduate students and leads the Smart Manufacturing Research Group, which investigates practical manufacturing problems while exploring new research topics with state-of-the-art technologies. His teaching portfolio includes Strength of Materials, Manufacturing Processes, and Materials Science courses. The Smart Manufacturing Research Group maintains specialized facilities including a Gleason Hobbing Machine Force Applicator and Rotating Dynamometer for Cutting Tools, supporting research in machining simulation, tool condition monitoring, tribology, soft material cutting, and gear manufacturing.

• Fluid Mechanics
• Drop Dynamics
• Aeroacoustics
• +6 more

Günter Brenn is a University Professor (Professor) at Graz University of Technology, Institute of Fluid Mechanics and Heat Transfer. His research spans fluid dynamics, two-phase flows, and aeroacoustics, with applications in automotive systems, ventilation, polymer processing, and biomedical engineering. Research Interests: Drop-jet collisions and fragmentation mechanisms Viscoelastic fluid dynamics Computational modeling of centrifugal polymer separation Turbulent flow aeroacoustics Smoke backlayering in tunnels Microfluidics and spray formation The 15 most recent articles highlight his work in nonlinear drop oscillations, turbulent pipe flow noise, and interdisciplinary applications of fluid mechanics in biomedical contexts (e.g., aortic dissection thrombosis). Methodologies include hybrid simulations, Large-Eddy Simulations, and analytical modeling. Key Affiliations: Institute of Fluid Mechanics and Heat Transfer, Graz University of Technology Research portal (PURE) contributions Teaching authorization in fluid mechanics

Mahesh M SView profile

Associate Professor

• Vibroacoustics
• Aeroelasticity
• Computational Mechanics
• +9 more

Mahesh M S is an Associate Professor in the Mechanical & Aerospace Engineering department at the Indian Institute of Technology Hyderabad . He holds a Ph.D. in Aerospace Engineering from the University of Illinois at Urbana-Champaign. Education Ph.D. (2013), University of Illinois at Urbana-Champaign M.Tech. (2004), Indian Institute of Technology Madras B.Tech. (2004), Indian Institute of Technology Madras Research Interests include Vibroacoustics , Aeroelasticity , Computational Mechanics , Aerodynamics , Aeroacoustics , and High Performance Computing . His group explores compressible multiphase flows, radar cross-section prediction, and shock wave interactions. Current Projects include Internal Ballistics (ARMREB, 2024–2027) and Hydroacoustics (NSTL, DRDO, 2024–2025). Past projects span underwater supersonic jets (DRDO, 2019–2021), cavity aeroacoustics (ADA, 2020–2021), and terminal ballistics (ARB, 2016–2018). Scientific awards : None listed. Students : Dr. Amartya Jana (Ph.D. candidate), Dubba Bhuvana Sai Charan Nath (Ph.D. scholar), Shikshit Nawani (M.Tech), Guruprasad Arya (M.Tech), Akshay Khare (M.Tech), Swapna Yalamanchili (Ph.D. scholar), Vishnu S. B. (Project Scientist), Chele Rajesh (Junior Research Fellow), Sharad Verma (M.Tech), Mangesh Dholwade (M.Tech). Contact : Room C-515, Academic Block C, IIT Hyderabad, Telangana, India. Email: mahesh@mae.iith.ac.in .

Jonathan AurnouView profile

Professor

• Geophysical Fluid Dynamics
• Planetary Science
• Magnetohydrodynamics
• +3 more

Jonathan Aurnou is a Professor in the Department of Earth, Planetary and Space Sciences (EPSS) at UCLA, where he directs the SPINLab—a 900-square-foot experimental facility dedicated to geophysical fluid dynamics research. His work bridges laboratory experiments and numerical simulations to investigate fundamental processes in planetary cores and atmospheres. His primary research explores turbulent convection, magnetoconvection, and libration-driven flows using custom apparatus like the Rotating Magnetoconvection Device (RoMag) and large-scale NoMag systems. Key interests include planetary magnetic field generation, deep convection in gas giants, and resonant wave interactions, with experimental data relevant to interpreting observations of Jupiter, Saturn, and terrestrial planetary cores. SPINLab operations are supported by multiple grants from the NSF Geophysics Program, NSF Instrumentation and Facilities Program, NASA Planetary Geology and Geophysics Program, and NASA Planetary Atmospheres Program. The facility houses specialized equipment including a 35 cm-bore electromagnet (0-1300 Gauss), ultrasonic Doppler velocimetry systems for opaque fluids, and precision temperature control capable of multiplexing 64+ sensor channels. Lab infrastructure features a custom rotary table (0.3-100 rpm), industrial temperature baths, blackout capabilities for flow visualization, and dedicated 400-amp 3-phase power. Current projects involve scaling fluid dynamics experiments using water (for gas giant analogs) and liquid gallium (for planetary core simulations) across variable tank geometries to isolate parameter-dependent system behaviors.

• Hypersonics
• Aerospace Engineering
• Thermal Protection Systems
• +3 more

Matthew McGilvray is a Professor of Engineering Science at the University of Oxford and Senior Fellow in Hypersonics at the Oxford Thermofluids Institute. His research spans aerospace engineering, focusing on hypersonic flow dynamics, gas turbine heat transfer, and thermal protection systems for spacecraft. University of Queensland (BEng, PhD) 2009: Research Associate, Oxford Thermofluids Institute 2013: Associate Professor, University of Oxford 2021: Senior Research Fellowship, Royal Academy of Engineering 2023: Promoted to Professor Research Interests: McGilvray leads two major research groups: Hypersonics and Particle Deposition in Gas Turbines . His work includes: Designing hypersonic wind tunnels (Oxford HDT, T6, CXT) for spacecraft and scramjet testing Advancing transpiration cooling and pyrolysis gas effects for thermal protection Developing numerical tools (FROSST, LASTA, NESS) for shock tube simulations Analyzing ice crystal accretion and shedding in aeroengines Studying non-equilibrium thermochemistry and radiation in hypersonic flows Scientific Contributions: With over 54 journal articles and 135 conference papers, his recent publications highlight: Ice crystal dynamics in turbomachinery Thermochemical kinetics in hypersonic flows Ceramic-metal brazing for thermal protection Shock tube radiation diagnostics Boundary layer control via transpiration cooling Awards & Leadership: In 2021, he secured a Royal Academy of Engineering Senior Research Fellowship to establish the MoD Academic Centre of Excellence in Hypersonic Science and Technology . He has supervised 17 doctoral students and advances experimental facilities like the Oxford T6 Stalker Tunnel.

Marco SammonView profile

Assistant Professor

• Asset Pricing
• Passive Investing
• Index Funds
• +4 more

Marco Sammon is an Assistant Professor of Business Administration in the Finance Unit at Harvard Business School, where he teaches the FIN2 course in the required curriculum. His academic appointments are full-time with no indications of retirement or former staff status. Education: Ph.D. in Finance - Kellogg School of Management B.A. in Quantitative Economics - Tufts University Research Focus: Professor Sammon's research centers on asset pricing dynamics, particularly how information incorporates into stock prices. His work investigates the systemic impacts of passive investing, index fund growth, and financial journalism on market efficiency. Current projects analyze institutional trading patterns, market microstructure, and behavioral responses to macroeconomic uncertainty. Publication Trends: Sammon's recent publications demonstrate consistent focus on passive ownership effects, with 73% of his post-2020 work examining index funds' market impact. His articles show interdisciplinary reach across asset pricing, behavioral finance, and macroeconomics, frequently employing high-frequency data and natural experiments to study market anomalies during crises like COVID-19. Professional Background: Prior to academia, he worked at the Federal Reserve Bank of Boston in Supervision, Regulation and Credit. He maintains active media engagement through podcasts and webinars discussing market structure evolution.

Denis MartinandView profile

Lecturer

• Fluid Dynamics
• Instabilities
• Turbulence
• +2 more

Denis Martinand serves as a Lecturer at Aix-Marseille University (AMU) with Habilitation à Diriger des Recherches (HDR) status, affiliated with the Instabilities, Turbulence and Couplings research team at the M2P2 laboratory (a joint unit of AMU, CNRS, and Centrale Marseille). His work bridges theoretical fluid mechanics and membrane process engineering through experimental and computational approaches. Martinand's research centers on hydrodynamic instabilities and turbulence in complex flows, with emphasis on Taylor-Couette systems , membrane distillation processes, and granular media. Key interests include: Stability mechanisms in sheared thermal boundary layers Osmotic pressure effects on vortex stability Unsteady mixing dynamics in spacer-filled membrane channels Rayleigh-Taylor phenomena in two-phase granular flows Global mode selection in permeable-wall configurations His methodology integrates linear stability analysis, CFD simulations, and experimental validation. Analysis of his 15 most recent publications reveals a consistent focus on instability-triggered transport enhancement, particularly in membrane filtration systems. The work demonstrates sophisticated coupling between fluid dynamics and separation processes, with growing emphasis on granular flow instabilities since 2020. Recent papers increasingly address industrial applications through reduced-order modeling. Martinand actively supervises doctoral research as an HDR-qualified supervisor, though specific advisees aren't listed. His collaborations span international teams including CNRS researchers, membrane technology specialists, and computational fluid dynamicists. Current projects likely involve granular instability modeling and membrane process optimization based on recent publication trends. He operates within the M2P2 laboratory's fluid dynamics group, utilizing advanced CFD resources and experimental facilities for flow visualization. The Instabilities, Turbulence and Couplings team provides a multidisciplinary environment integrating theoretical modeling with industrial applications in energy and separation processes.

Se-Heon OhView profile

Professor

• Galaxy dynamics
• Star formation
• Observational radio astronomy
• +4 more

Se-Heon Oh is a Professor in the Department of Physics and Astronomy at Sejong University, specializing in galaxy dynamics, observational radio astronomy, and dark matter studies. His work bridges theoretical and empirical approaches to understanding galactic evolution. Education: Ph.D., The Australian National University (2009) B.S., Yonsei University (2004) Research Interests: Galaxy dynamics linked to star formation, observational radio astronomy focusing on H i gas, and galaxy surveys using SKA pathfinders. His studies explore dark matter profiles in dwarf galaxies and precision kinematic measurements for large-scale surveys. Recent Publications (2025): Cutting-edge work on H i gas dynamics, turbulent gas accretion in M51, and star formation in gas-rich galaxy pairs, showcasing his focus on galactic feedback mechanisms and environmental impacts. Collaborations: Active in international projects like WALLABY, MHONGOOSE, and THINGS, working with institutions across Australia, South Africa, and the U.S. using telescopes like MeerKAT and VLA.

• Quantum Computation
• Quantum Programming
• Formal Methods
• +6 more

Professor Mingsheng Ying (University of Technology Sydney) is a Distinguished Professor specializing in quantum programming , quantum verification , and the foundations of artificial intelligence . He leads the Centre for Quantum Software and Information and co-founded the Quantum Lab . His work bridges quantum computation with formal methods and reasoning under uncertainty. Education : Mathematics, Fuzhou Teachers College (1981) Research Interests His research spans: Quantum programming languages and verification techniques Model checking quantum systems and cryptographic protocols Quantum machine learning robustness Entanglement theory and distributed quantum computation Recent Publications Key contributions include: Quantum error correction verification frameworks Quantum register machine architecture Hamiltonian simulation parallelization Symbolic execution for quantum debugging Robustness tools like VeriQR Awards & Editorial Roles NSF China Distinguished Young Scholar Award (1997) China National Science Award (2008) Co-Editor-in-Chief, ACM Transactions on Quantum Computing Vice President, International Fuzzy Systems Association (2005) Leadership & Grants He oversees 14 active grants (2010–2029) from: Australian Research Council (ARC Discovery Projects) National Natural Science Foundation of China Sydney Quantum Academy Baidu Contract Research His grants fund research in quantum program verification, entanglement classification, and distributed quantum protocols.

Kostas DaniilidisView profile

Professor

• Computer Vision
• Robotics
• Geometric Deep Learning
• +4 more

Kostas Daniilidis is the Ruth Yalom Stone Professor of Computer and Information Science at the University of Pennsylvania, where he has been a faculty member since 1998. A distinguished IEEE Fellow, he has held leadership roles such as Director of the GRASP Laboratory (2008–2013), Associate Dean for Graduate Education (2012–2016), and Faculty Director of Online Learning since 2016. His academic journey includes an undergraduate degree in Electrical Engineering from the National Technical University of Athens (1986) and a PhD in Computer Science from the University of Karlsruhe (1992). Education : National Technical University of Athens (BEng), University of Karlsruhe (PhD) Daniilidis is renowned for his contributions to geometric deep learning, data association, event-based cameras, and vision-based manipulation and navigation. His work spans visual odometry, omnidirectional vision, 3D pose estimation, and structure from motion, with a focus on integrating deep learning with geometric principles for real-time applications. His publications highlight advancements in event camera datasets, spherical CNNs for rotation-equivariant representations, and unsupervised motion learning. These works bridge robotics, computer vision, and neural networks, emphasizing dynamic scene analysis and robust perception systems. Scientific Awards : IEEE Fellow Best Conference Paper Award at ICRA 2017 Best Student Paper Finalist at Robotics Science and Systems 2018 Daniilidis has contributed to key academic roles, including Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (2003–2007) and co-chairing conferences like IEEE 3DPVT 2006 and ECCV 2010. He leads research initiatives in the GRASP Laboratory, focusing on cutting-edge robotics and perception technologies.

• Spintronics
• Magnetism
• Nanoscience
• +6 more

Xichao Zhang is an Assistant Professor at Waseda University's Faculty of Science and Engineering, Research Institute for Science and Engineering. He holds a Ph.D. from Shinshu University (2018) and has worked at institutions including the Chinese University of Hong Kong, Shenzhen (2016-2020), and the University of Hong Kong (2014-2016). His research focuses on topological spin textures (skyrmions, bimerons, antiskyrmions) and their applications in spintronics , with recent work on current-driven dynamics, magnetic confinement, and interdisciplinary connections to quantum computing and biological physics . Education: Ph.D. (2018), Shinshu University, Interdisciplinary Graduate School of Science and Technology B.Sc. (2014), Sichuan Normal University, Department of Physics Dr. Zhang's research spans bulk chiral magnets , synthetic antiferromagnets , and low-dimensional systems , emphasizing electric field control and spin-orbit torque for energy-efficient devices. His recent publications highlight skyrmion Hall effect suppression , heterostructure manipulation , and quantum computing with merons . Over 40 first-author papers in journals like Nature Physics , Nature Electronics , and Nano Letters demonstrate his impact. Key scientific awards include: Waseda Research Award (2025) IEEE Senior Member (2024) MSJ Distinguished Paper Award (2023) Presidential Postdoctoral Fellowship (2019) IOP Publishing China Top Cited Author (2018) He serves as a reviewer for prestigious journals and is a member of IEEE, APS, JPS, JSAP, and MSJ.

• Computational Mechanics
• Fluid-Structure Interaction (FSI)
• Isogeometric Analysis
• +3 more

Takuya Terahara is an Assistant Professor at the Green Computing Systems Research Organization, affiliated with the School of Creative Science and Engineering. His research focuses on computational mechanics, fluid-structure interaction (FSI), and isogeometric analysis with applications in biomedical engineering (heart valves, aorta flow), aerospace systems (parachutes), and automotive aerodynamics (tire flows). His work combines T-splines and space-time methods to address challenges in contact mechanics, boundary layer representation, and multi-scale flow dynamics. Notable projects include modeling red blood cell deformation, heart valve FSI with leaflet contact, and spacecraft parachute structural analysis. Research trends highlight his expertise in integrating isogeometric discretization with lattice Boltzmann methods, boundary element analysis, and slip interface techniques. His computational frameworks enable high-fidelity simulations of complex systems requiring continuity, smoothness, and contact representation. Terahara has received research grants from the Japan Society for the Promotion of Science (JSPS), including projects on local mesh refinement for flow analysis (2020-2022) and fluid-structure interaction for heart valves (2017-2020).

Marc D. PolankaView profile

Professor

• Heat Transfer
• Combustion
• Turbulence
• +11 more

Dr. Marc D. Polanka is a Professor in the Department of Aeronautics and Astronautics at the Air Force Institute of Technology (AFIT), part of the Graduate School of Engineering and Management. He holds a PhD in Mechanical Engineering from the University of Texas at Austin and has a distinguished record of leadership, serving as the Faculty Council President and Faculty Advisor for the AFIT Student Section of AIAA. B.S., Mechanical Engineering, University of Dayton, 1992 M.S., Mechanical Engineering, Stanford University, 1993 Ph.D., Mechanical Engineering, University of Texas-Austin, 1999 Dr. Polanka's research is centered on advancing gas turbine propulsion technology, with a primary focus on combustion, heat transfer, and advanced instrumentation . He leads the Combustion Optimization And Laser (COAL) laboratory, where his team investigates cutting-edge concepts such as Rotating Detonation Engines (RDEs) and Ultra Compact Combustors for applications in APUs, afterburners, and scramjets. His work also encompasses the critical challenge of turbine film cooling under high fuel-air ratio conditions and the enhancement of small engine performance for unmanned aerial systems, including their operation at altitude and conversion to alternative fuels. His expertise extends to the aerodynamics and heat transfer of turbines, including film cooling and unsteady vane-rotor interactions. His recent publications reflect a strong and consistent research trajectory in propulsion and thermal sciences. The articles demonstrate a deep integration of experimental and computational methods to solve complex problems in combustion dynamics , film cooling effectiveness , and small engine optimization . A significant trend is the investigation of pressure gain combustion via RDEs and the development of novel diagnostic techniques for high-temperature environments. Associate Fellow of AIAA Fellow of ASME Faculty Advisor, AFIT Student Section of AIAA Review Chair, ASME IGTI conference Former Chair, ASME K-14 Gas Turbine Heat Transfer Committee Dr. Polanka has advised numerous PhD and MS students, many of whom are co-authors on his extensive publication list. His research has been supported by significant funding from the Air Force and other agencies, enabling advanced experimental facilities like the COAL lab. He has received a remarkable number of awards, including the Air Force Outstanding Science and Engineering Educator Award (2019) , the ASME IGTI Outstanding Service Award (2020) , and multiple first-place awards from AIAA for section leadership and service. Dr. Polanka leads the Combustion Optimization And Laser (COAL) laboratory, a state-of-the-art research facility dedicated to experimental combustion and heat transfer. The lab is the hub for his work on RDEs, ultra-compact combustors, and advanced turbine cooling, fostering a collaborative team of graduate students and researchers who are at the forefront of aerospace propulsion research.

Daniel RuijtersView profile

Professor

• Medical Imaging
• Image-Guided Therapy
• Data-Driven Healthcare
• +3 more

Daniel Ruijters is a part-time Full Professor in the Electronic Systems department at Eindhoven University of Technology (TU/e), specializing in data-driven value-based healthcare for image-guided therapy. His research develops intelligent systems that optimize data utilization in minimally invasive treatments, translating population datasets to individual patient care. He simultaneously serves as a Principal Scientist at Philips Healthcare, where he has worked since 2001, developing clinical prototypes for image-guided interventions. Education Engineering degree from University of Technology Aachen, Germany (2001) Master's research at École Nationale Supérieure des Télécommunications (ENST), ParisTech, France PhD from TU/e and KU Leuven (2010) on multi-modal image fusion Research Focus Ruijters' work integrates medical imaging, deep learning, and computational modeling to advance image-guided interventions. His research spans GPU-accelerated image processing, angiography-based diagnostics, computational fluid dynamics for vascular analysis, and AI-driven detection systems for neurovascular procedures. This includes developing real-time tracking methods and personalized treatment approaches using large-scale clinical datasets. Projects & Initiatives He leads the PERSEUS project (2023-2029) focusing on patient-centered healthcare optimization through data science. His work contributes to UN Sustainable Development Goals through improved medical technology accessibility. Academic Contributions Ruijters teaches courses in DSP fundamentals, medical image analysis, and signal processing. His 90+ publications demonstrate consistent output since 2003, with recent emphasis on deep learning applications in angiography and computational hemodynamics.