جستجوی استاد راهنمای دانشگاهی

Thomas P. Witelskiمشاهده پروفایل

استاد

• Fluid Dynamics
• Partial Differential Equations
• Nonlinear Dynamical Systems
• +۴ مورد دیگر

Thomas P. Witelski is a Professor at Duke University with joint appointments in the Department of Mathematics (Trinity College of Arts & Sciences, since 2011) and Thomas Lord Department of Mechanical Engineering and Materials Science (Pratt School of Engineering, since 2016). His work focuses on applied mathematics and industrial fluid dynamics. Ph.D. in Applied Mathematics (Caltech, 1995) B.S.E. in Engineering (Cooper Union, 1991) Research Focus Specializing in nonlinear differential equations , Witelski develops mathematical models for viscous fluid flow , dewetting thin films , and dynamical systems . His research extends to industrial applications like spin coating and biomedical contexts such as tear film dynamics in dry-eye syndrome. Publication Trends Recent work (2024-2025) addresses IMEX numerical methods for thin films, coarsening dynamics , and tumor growth instabilities . Earlier studies (2018-2020) explore self-similar solutions , Marangoni effects , and heterogeneous substrate interactions . Awards & Service Awarded the NSF CAREER Award (2003), Witelski organizes conferences like the TriCAMS Symposium (2023) and Mathematical Problems in Industry Workshop (2016). He mentors graduate and undergraduate students in mathematical modeling camps and serves on editorial boards for dynamical systems journals.

Javad Mohammadpourمشاهده پروفایل

پژوهشگر ارشد

• Computational Fluid Dynamics (CFD)
• Hydrogen Energy Systems
• Renewable Energy
• +۳ مورد دیگر

Javad Mohammadpour is a Postdoctoral Research Fellow and Academic Casual at Macquarie University's School of Engineering, with an adjunct researcher position at the University of Tasmania. He is a member of the Macquarie Smart Green Cities Research Centre and has served as a guest lecturer in courses like Fluid Mechanics (MECH2002) and Safety & Risk Engineering (ENGG8401). His research focuses on CFD, hydrogen energy systems, renewable energy optimization, and machine learning applications in thermal engineering. Key projects include a BE CRC-CO funded initiative assessing hydrogen incidents in maritime vessels and a Virtual Reality Lab for Fluid Mechanics education. He has authored 44 peer-reviewed publications, with a focus on cryogenic hydrogen safety, thermal optimization, and corrosion management. Awards include the Macquarie University Sustainable Energy Research Centre PhD scholarship and multiple peer-review recognitions. PhD in Mechanical Engineering (not explicitly stated but implied by title) Adjunct Researcher at University of Tasmania (2023-2026) Postdoctoral Research Fellow at University of Tasmania (2022-2023) Research interests span computational fluid dynamics, hydrogen energy systems, and machine learning-driven optimization. His work emphasizes thermal management in microchannel systems, cryogenic hydrogen safety, and predictive modeling for industrial hazards. Grants include the Macquarie University Postgraduate Research Fund (PGRF) and DVC-R commended applications. He has contributed to over 19 peer-review activities for journals like Fire and Micromachines . Labs/Teams: Active in the Smart Green Cities Research Centre and collaborates with institutions like the University of Tasmania on hydrogen safety and thermal energy projects.

Sonal Choudharyمشاهده پروفایل

استاد

• Sustainable Food Systems
• Supply Chain Management
• Circular Economy
• +۷ مورد دیگر

Prof. Sonal Choudhary is a Chair in Sustainable Management at the University of York's School for Business and Society. Previously, she held senior roles at The Sheffield University Management School, including Head of the Operations Management & Decision Sciences Research Centre. She specializes in sustainable food systems, resilient supply chains, and interdisciplinary policy-research integration. Education: PhD in Environmental Sustainability (University of Sheffield, 2014), MSc in GIS & Environmental Modelling (University of Hull, Distinction), MSc in Environmental Biology (University of Delhi, Distinction). Awards include the Gold Medallist in Environmental Biology, Marie Curie ITN Fellowship, and recognition as a 'Climate Leader' by Al Gore. Research focuses on food systems resilience, digital innovations in agriculture, and circular economy practices. Key projects include the £1.2m STFC Food Network+ Phase 2 and £0.84m TRANSSITioN project addressing food chain sustainability in India. She advises major organizations like Tesco on Net Zero initiatives and collaborates with global stakeholders in food, energy, and policy sectors. Grants: Over £12m secured from UKRI, STFC, and international bodies. Leads interdisciplinary teams in food systems research, including the H3 project on healthy soils and food systems. Supervises PhD students and chairs expert groups on sustainable food systems. Labs/Teams: Leads the Sustainable Agri-food integrated VAlue chain Network (SAVAN), STFC Food Network+, and collaborates with the Institute for Sustainable Food and Advanced Resource Efficiency Centre (AREC).

Sotos Generalisمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Turbulence
• Molecular Dynamics
• +۳ مورد دیگر

Sotos Generalis is an Associate Professor in Applied Mathematics & Data Science at Aston University, affiliated with the School of Computer Science and Digital Technologies and the Aston Fluids Group within the College of Engineering and Physical Sciences. His research focuses on fluid dynamics, particularly sequential transition to turbulence in shear flows and molecular dynamics simulations complementing Navier-Stokes equations. Collaborations include projects with Japanese researchers exploring molecular-scale turbulence and emerging engineering applications. Research interests emphasize turbulence transition mechanisms, vortex dynamics, and computational modeling of complex fluid systems. Key areas include Couette flow analysis, stratified shear flows, and pattern formation in volumetrically heated fluids. His work bridges molecular-scale simulations with macroscopic fluid dynamics, aiming to advance engineering technologies through turbulence understanding. Notable achievements include the Lord Staffordshire Award for Innovation (2000) recognizing contributions to domestic appliance innovation. He has supervised 11 research projects, fostering expertise in fluid mechanics and computational methods. Active in collaborative networks, his research spans international partnerships and addresses societal challenges through fluid dynamics innovation.

Massimo Vergassolaمشاهده پروفایل

استاد

• Physics of living systems
• Fluid dynamics
• Continuum mechanics
• +۳ مورد دیگر

Massimo Vergassola is a Professor at École Normale Supérieure-PSL (ENS-PSL) in Paris and Director of the ENS-PSL Center for Quantitative Biology. His research bridges physics and life sciences, focusing on the physics of living systems with emphasis on embryonic development , animal behavior , and biological navigation . He holds a joint appointment as CNRS Directeur de Recherche and leads initiatives at the PariSanté Campus Val-de-Grâce, integrating institutions like Inserm and Inria. Education: Laurea in Physics (University La Sapienza, Rome, 1985-1990); PhD in Physics (University Nice-Sophia Antipolis, 1990-1993); Post-doc at Princeton University (1994-1995) His research spans fluid dynamics , statistical physics , and biophysics , addressing problems like olfactory navigation , chemotaxis , cell size control , and mitotic wave dynamics . Recent work explores Bayesian search strategies in turbulent flows and topological interactions in developmental biology. His 15 most recent articles reveal a focus on olfactory search algorithms , embryonic patterning , gene regulation , and turbulent transport . Keywords include Biophysics , Computational Biology , and Nonlinear Dynamics . Scientific Awards : APS Fellow, APS Outstanding Referee, CNRS Bronze Medal, Fondation de France Thérèse Lebrasseur Prize, EADS Grand Prix, and Accademia dei Lincei student award Vergassola contributes to academic governance via editorial boards ( Physics Reports , JSTAT ) and grant committees (Human Frontier Science Project). His lab at ENS-PSL collaborates with institutions like Harvard Center for Quantitative Biology and Pasteur Institute.

Eric Jacksonمشاهده پروفایل

دانشگاهی

• Transportation Data Systems
• Web-Based Data Collection
• Safety Data Integration and Analysis
• +۳ مورد دیگر

Eric Jackson, Ph.D., serves as the Executive Director of the Connecticut Transportation Institute (CTI) and Director of the Connecticut Transportation Safety Research Center (CTSRC) at the University of Connecticut. He holds an Associate Research Professor position. Dr. Jackson earned his B.S. in Civil Engineering from the University of Kentucky (2002), followed by a Master's (2004) and Ph.D. (2008) from UConn. His research focuses on transportation data systems, web-based data analysis, safety data integration, and remote sensing. He has led initiatives like the modernization of Connecticut’s crash data repository (CTCDR) and the Connecticut Roadway Safety Management System (CRSMS). His work emphasizes accessible crash data tools and systemic safety improvements. Dr. Jackson’s recent publications (2021–2025) address topics such as autonomous vehicle-pedestrian interaction, telematics data for crash analysis, and ADAS driver reactions. His research bridges technological advancements with practical road safety solutions. He has collaborated on state-wide infrastructure projects, including asphalt material studies and pavement marking evaluations. Despite no listed awards, his leadership in CT transportation initiatives underscores his impact in the field. Dr. Jackson oversees the CTSRC Safety Analysis Team, driving software development for safety tools like the Highway Safety Manual integration. His work ensures timely, accurate data access for transportation planners and policymakers. He maintains a laboratory focused on data-driven safety analytics and has contributed to over 100 publications, reflecting his commitment to advancing transportation safety through innovation.

• Water Waves
• Symplectic Geometry
• Shallow Water Hydrodynamics
• +۷ مورد دیگر

Professor Thomas J Bridges is a faculty member in the Department of Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. He holds a PhD, MA, and BSc, and is actively engaged in research and teaching in applied mathematics. Academic Rank: Professor Institution: University of Surrey School: School of Mathematics and Physics Department: Department of Mathematics Email: t.bridges@surrey.ac.uk His research focuses on water waves, symplectic geometry, shallow water hydrodynamics, and nonlinear wave theory. Key interests include the Maslov index, solitary waves, Whitham modulation, and geometric mechanics. He has contributed extensively to the theory of wave-mean flow interaction and the emergence of dispersive models such as KdV and Boussinesq equations. The recent publications highlight a consistent focus on symplectic structures, stability of waves, and numerical simulations of fluid systems. Themes include modulation theory, multi-phase waves, and the dynamics of shallow water and sloshing. His work often bridges abstract geometric formulations with physical fluid dynamics applications. Notable scientific contributions include: Development of multi-symplectic formulations for PDEs Reformulation of Whitham modulation near criticality Analysis of coalescing characteristics in wave systems Geometric phase and stability of nonlinear waves Theory of secondary criticality in water waves He has supervised MSc projects in astrodynamics and fluid dynamics, and his teaching includes Lagrangian fluid dynamics and geometric mechanics. He leads research projects such as the OWEL initiative on ocean wave energy. He collaborates widely and has advised multiple students in computational and theoretical fluid mechanics. Laboratories and research teams are not explicitly named, but his work involves numerical simulation groups and collaborations on fluid-structure interaction and wave energy systems.

• Fluid Dynamics
• Computational Fluid Dynamics
• Laser Ablation
• +۳ مورد دیگر

Rob Hagmeijer is a Researcher at the University of Twente within Engineering Fluid Dynamics . With over 100 publications and an h-index of 12, his work spans computational fluid dynamics, laser ablation, and biomedical applications including nasal high-flow therapy and coronary bypass surgery optimization. Active in Medical Engineering and Fluid Dynamics research Recipient of the John Parker Medal (2017) and 3rd Prize Best Oral Presentation MST (2019) Developed algorithms for condensation experiments and multi-phase flow modeling Recent Research Trends: Focus on branched fluidic network optimization (2025), laser ablation crater analysis (2023), and computational modeling of respiratory systems (2022). His work combines theoretical analysis with clinical validation across disciplines. Scientific Awards: 3rd Prize Best Oral Presentation MST Wetenschapssymposium 2019 John Parker Medal for best clinical presentation at SCTS 2017 Collaborative Activities: Participated in presentations at conferences like SCTS 2017 , MST Wetenschapssymposium 2019 , and ECMI 2004 . Collaborated on projects involving laser-cluster interaction and high harmonic generation (2013).

Alberto Strioloمشاهده پروفایل

استاد

• Chemical Engineering
• Environmental Science
• Nanotechnology
• +۷ مورد دیگر

Alberto Striolo is the Asahi Glass Chair and Lloyd and Jane Austin Presidential Professor in the School of Chemical, Biological and Materials Engineering at the University of Oklahoma. He also holds an honorary part-time position as Research Professor at University College London (UCL). His research focuses on molecular simulations and multi-scale modeling to address challenges in energy, environmental science, and materials engineering. Education: PhD (2002) and B.S. (1998) in Chemical Engineering from the University of Padova, Italy. Postdoctoral training at UC Berkeley, North Carolina State University, and Vanderbilt University. Research Interests: In-silico design of chemical additives, environmental impact mitigation for energy sectors, microplastics/antibiotics contamination management, and pedagogical innovations. His work combines advanced simulations (e.g., molecular dynamics, machine learning) with experimental collaborations, aiming to bridge theory and industrial applications. Key Contributions: Over 200 peer-reviewed publications, including work on gas hydrate management, nanoparticle behavior, and shale gas dynamics. Notable projects include collaborations with BP, Chevron, and the Lawrence Berkeley National Laboratory. Awards: HP Outstanding Junior Faculty Award (2011), Fellowships from IoM3, RSC, IChemE, and IoP. Named Honorary Research Professor at UCL (2021). Advising & Grants: Mentored over 20 PhD students and postdocs. Secured funding from NSF, EPSRC, and industry partnerships. Active in diversity initiatives, including workshops on inclusivity in STEM. Labs & Teams: Leads a multidisciplinary research group utilizing cutting-edge computational tools. Collaborates internationally on projects like carbon capture and geothermal energy solutions.

Nikolay Dimovمشاهده پروفایل

پژوهشگر

• BioEngineering
• Microfluidics
• Extracellular Vesicle Research
• +۴ مورد دیگر

Nikolay Dimov is a Researcher at the University of Hertfordshire's School of Physics, Engineering & Computer Science, Department of Engineering and Technology. He leads the Microfluidics and Microengineering Research Group (MMRG) and collaborates with the Bioengineering research group and Extracellular Vesicle Research Unit. His work focuses on developing lab-on-a-chip biodetection systems for early disease diagnostics and exosome isolation technologies. Key projects include the DIVISIUM chip development and CIBD compact detection systems. His research integrates microfluidics with molecular assays for point-of-care diagnostics, combining engineering and biomedical approaches. Notable collaborations span 3D printing resins for medical applications and bioaerosol sensing systems. Projects like Air DNA Sampling and Mechanical Analysis of 3D Printing Resins highlight his interdisciplinary impact. Dr. Dimov has led or co-led 9 research projects, including EU-funded initiatives. His work emphasizes automated sample processing, high-fidelity biodetection, and exosome-based clinical applications. He has published extensively on centrifugal platforms, RNA purification, and lab-on-a-disc technologies.

Waqar Asadمشاهده پروفایل

دانشیار

• Stochastic Optimization
• Mine Planning
• Sustainable Mining Practices
• +۶ مورد دیگر

Associate Professor Waqar Asad holds a leadership role as Deputy Head of School (Mining Engineering) at Curtin University's WA School of Mines. He has over 26 years of experience in academia and industry, specializing in stochastic optimization of mineral supply chains and sustainable mining practices. He earned his PhD and MSc from the Colorado School of Mines and BSc from the University of Engineering and Technology, Peshawar. His research focuses on mathematical models for optimizing open-pit mine operations, including cut-off grade policies, production scheduling, and waste management. He has secured over $1M in research grants and published extensively in top-tier journals like European Journal of Operational Research and Resources Policy . Notable contributions include stochastic pit design models and waste encapsulation strategies. Teaching areas include mine planning, mining systems, and open-pit design. He has held leadership roles such as Head of Discipline (2014-2017) and Discipline Lead (2021-2023). His work is recognized internationally, including ranking in the top 2% of global mining scientists.

Chinnapat Panwisawasمشاهده پروفایل

مدرس ارشد

• Computational Materials
• Additive Manufacturing
• Digital Twin
• +۸ مورد دیگر

Dr Chinnapat Panwisawas is a Senior Lecturer in Materials and Solid Mechanics at Queen Mary University of London, where he also serves as Deputy Director of Graduate Studies and Director of the Materials Science and Engineering Programme. His research focuses on multi-scale computational materials engineering, integrating physics-based and data-driven AI frameworks to advance additive manufacturing for aerospace, automotive, biomedical, and green energy applications. Education: PhD in Metallurgy (2013, University of Birmingham), BSc in Physics (2008, Chulalongkorn University) Dr Panwisawas' work spans additive manufacturing , digital twin technologies , and data-centric engineering . He employs integrated computational materials engineering (ICME) to optimize processes like laser powder bed fusion and directed energy deposition, addressing challenges in porosity, microstructural control, and material sustainability. His research aligns with UK net-zero targets, emphasizing eco-friendly manufacturing solutions. Recent publications highlight multi-material additive manufacturing , functionally graded alloys , and AI-driven process optimization . His team collaborates with Rolls-Royce, ISIS Neutron Source, and global institutions, securing grants from Innovate UK, Royal Society, and EPSRC. Awards include Fellowships from FIMechE, FInstP, and inclusion in the Top 2% of World Scientists in Materials (2022–2024). Scientific Awards: FIMechE (2021), FInstP (2020), FIMMM (2019), CEng (2016) Dorothy Hodgkin Postgraduate Award (2009–2012) AM-Bench First Place Award (2018) Dr Panwisawas supervises PhD students in projects ranging from 3D-printed prostate tissue imaging to ultralightweight mechanical metamaterials . His grants include the NEXTA Co-creation Centre and DISTorting Aerospace Manufacturing Boundaries initiatives, supporting innovation in titanium and multi-material AM.

• Geostatistics
• Reservoir Engineering
• Geochemistry
• +۵ مورد دیگر

Christopher White is a Research Professor at the School for the Environment at the University of Massachusetts Boston. His expertise lies in geostatistics, reservoir engineering, geochemistry, and numerical modeling of fluid transport in porous media, with applications in geothermal energy, oil and gas dynamics, and environmental systems. White earned his PhD and MS in Petroleum Engineering from Stanford University and a BS in Petroleum and Geological Engineering from the University of Oklahoma. His career includes industry roles at Shell Research and Development, academic positions at The Bureau of Economic Geology (University of Texas at Austin), and over a decade as faculty at Louisiana State University. His research focuses on geostatistical modeling , reactive transport in groundwater systems, and optimization of energy recovery from geothermal and hydrocarbon reservoirs. Recent publications highlight critical zone evolution , trace element behavior in aquifers, and advanced reservoir simulation techniques. White's work bridges petroleum engineering principles with environmental geochemistry and hydrology. Scientific Award: US Patent 7,254,091 for reservoir uncertainty analysis.

István Vargaمشاهده پروفایل

دانشیار

• Traffic Control
• Urban Traffic Modeling
• Intelligent Transportation Systems
• +۷ مورد دیگر

István Varga is an Associate Professor in the Department of Control for Transportation and Vehicle Systems at the Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics. His work bridges theoretical control systems and practical transportation applications, particularly in intelligent traffic management and autonomous mobility. His research interests are centered on traffic control , urban traffic modeling , autonomous vehicles , emission modeling , and intelligent transportation systems . He applies advanced control methodologies such as model predictive control (MPC), set-theoretic control, and LPV modeling to solve real-world traffic problems including congestion, safety, and environmental impact. His work often integrates simulation platforms like VISSIM and MATLAB for system design and validation. The recent publications (2019–2024) reveal a strong trend toward connected and automated mobility , with a focus on V2X communication, platooning in urban environments, dynamic traffic light integration, and testing infrastructure like ZalaZONE. His research also addresses policy-level questions such as speed limit changes and dynamic road pricing using simulation-based impact analysis. The articles consistently emphasize multi-objective optimization, balancing traffic performance with environmental sustainability. István Varga is actively involved in the Hungarian Research Centre for Autonomous Road Vehicles (RECAR), contributing to national-level advancements in autonomous transport technology. His earlier work includes significant contributions to nuclear power plant safety systems, demonstrating interdisciplinary expertise in safety-critical control systems. While specific grants and students are not listed, his extensive publication record and leadership in research initiatives suggest active project involvement and academic supervision. He has contributed to both theoretical frameworks and real-world implementations, including traffic-responsive signal control, emission modeling for motorways, and robust control of industrial systems. His collaborations span academia and industry, with frequent co-authorship with researchers from Budapest University of Technology and Economics and the Hungarian Academy of Sciences.

• Computational Fluid Dynamics
• Vehicle Aerodynamics
• Aerospace Engineering
• +۴ مورد دیگر

Dr. Tom-Robin Teschner is a Senior Lecturer in Computational Fluid Dynamics at Cranfield University's Centre for Computational Engineering Sciences. He holds a PhD in Aerospace Engineering from Cranfield University and has previously worked as a software engineer at the German Aerospace Center (DLR). His research focuses on applied aircraft aerodynamics (laminar flow promotion, transition modelling), vehicle aerodynamics (high-performance vehicles), and algorithmic design for reducing computational costs in CFD through hybrid CFD/deep-learning methods. Education: BEng in Aerospace Engineering from Hamburg University of Applied Sciences and University of Seville MSc in Computational Fluid Dynamics from Cranfield University PhD in Aerospace from Cranfield University Research Trends: His recent work combines computational fluid dynamics with machine learning for vortex detection and laminar flow optimization, addressing both aerospace and automotive applications. He collaborates with industry leaders like Airbus , Onera , and McLaren Automotive . Scientific Awards: Erich Becker Scholarship Lord Kings Norton Medal (best PhD thesis among 151 graduates) Advisory & Grants: He supervises research projects on vehicle and aircraft aerodynamics, funded by clients such as ITP Aero (Rolls-Royce), Defence Science and Technology Laboratory , Aston Martin Lagonda , and McLaren Automotive .