جست‌وجوی استاد و پژوهشگر

Smitha Vishveshwaraمشاهده پروفایل

استاد

• Quantum Condensed Matter Theory
• Strongly Correlated Systems
• Low-Dimensional Physics
• +۸ مورد دیگر

Smitha Vishveshwara is a Professor in the Department of Physics at the University of Illinois at Urbana-Champaign. She holds affiliations with the university’s Materials Research Laboratory and Beckman Institute. Her interdisciplinary work bridges quantum condensed matter theory, biophysics, and artistic expression. PhD in Theoretical Physics (University of California, Santa Barbara, 2002) Postdoctoral Researcher (2002–2005) in the Department of Physics at UIUC Her research focuses on quantum systems, including: Strongly correlated systems in low dimensions (Luttinger liquids, induced superconductivity in nanotubes) Topological order and Majorana fermions in superconductors Quench dynamics in spin chains and optical lattices Microgravity Bose-Einstein condensates and quantum bubbles Biophysics applications (protein networks via percolation theory) Gravitational parallels in quantum Hall systems Recent publications reveal trends in quantum Hall interferometry, Majorana detection schemes, and microgravity condensate dynamics. Awards include the NSF CAREER Award, Simons Fellowship, and APS Fellowship. She teaches courses like “Where the Arts Meets Physics” and has co-created art-science projects such as Quantum Voyages and Quantum Rhapsodies .

Chuanfei Dongمشاهده پروفایل

استادیار

• Star-Terrestrial Planet Interactions
• Magnetic Reconnection
• Turbulence
• +۵ مورد دیگر

Chuanfei Dong is an Assistant Professor of Astronomy at Boston University's College of Arts & Sciences and of Electrical and Computer Engineering at the College of Engineering. His research focuses on understanding plasma physics and its applications to space science, planetary atmospheres, and fusion energy. Dong joined BU in January 2023 after working as a staff scientist at the Princeton Plasma Physics Laboratory. Education: B.S. in Space Science from University of Science and Technology of China M.S. in Earth and Atmospheric Sciences from Georgia Institute of Technology M.S.E. in Nuclear Engineering and Radiological Sciences from University of Michigan M.S. in Planetary and Space Sciences from University of Michigan Ph.D. in Scientific Computing from University of Michigan Research Interests: Dr. Dong's research spans multiple disciplines within space physics and plasma science. His primary interests include Star-Terrestrial Planet Interactions in our Solar System and beyond, magnetic reconnection and turbulence phenomena, wave-particle interactions in space plasmas, and applications of physics-informed machine learning to plasma problems. He also investigates high-intensity laser-plasma interactions with applications to fusion energy research. His work bridges the gap between theoretical plasma physics and observational space science, with particular focus on planetary atmospheres, solar wind interactions, and exoplanet habitability. Dong's interdisciplinary approach combines computational modeling, observational data analysis, and theoretical frameworks to address fundamental questions in space physics. Research Trends: Dong's recent publications demonstrate a strong focus on applying advanced computational techniques to space plasma physics problems. His work spans solar system bodies including Earth, Mars, Mercury, and the Moon, with increasing attention to exoplanet systems. A notable trend is the integration of machine learning approaches with traditional plasma physics modeling, particularly for complex phenomena like Landau damping and magnetic reconnection. His research has significant implications for understanding atmospheric evolution, space weather, and potential habitability of planetary bodies. Scientific Awards: DOE Early Career Research Award (2023) - $875,000 grant for plasma turbulence research Alfred P. Sloan Research Fellow (2024) Metcalf Travel Award Advising and Grants: Dr. Dong mentors undergraduate research assistants and plans to expand his research group with the support of his DOE Early Career Award, which will fund a graduate student and postdoctoral researcher. His research is supported by the Department of Energy and has connections to NASA missions including MAVEN (Mars) and BepiColombo (Mercury). Dong is also involved with the Mauve telescope project as BU institutional PI. His work has been featured in numerous media outlets including Phys.org, Science Daily, and German TV program zdf/3sat. Labs and Teams: Dr. Dong leads a research group focused on computational plasma physics at Boston University. He collaborates with researchers at Princeton Plasma Physics Laboratory and is involved with multiple NASA missions. His team develops advanced computational models to simulate space plasma phenomena, with particular expertise in magnetohydrodynamics (MHD), particle-in-cell methods, and physics-informed machine learning approaches. Dong is also affiliated with BU's Hariri Institute for Computing.

Georg Stadlerمشاهده پروفایل

استاد

• Computational Mathematics
• Scientific Computing
• Uncertainty Quantification
• +۵ مورد دیگر

Georg Stadler is a Professor of Mathematics and Computer Science at New York University's Courant Institute. His research focuses on computational inverse problems, uncertainty quantification, and PDE-constrained optimization, driven by applications in climate modeling, geophysics, and plasma physics. He holds a PhD from the University of Graz (2004) and has been recognized with awards including the Gordon Bell Prize (2015) and the SIAM Computational Science & Engineering Best Paper Prize (2019). Education: Ph.D. (Dr.), Mathematics, University of Graz, Austria, 2004. M.S. (Mag.), Mathematics, University of Graz, Austria, 2001. M.S., Mathematics and Geometry Education, Graz University of Technology and University of Graz, 2001. Research Interests: Large-scale PDE solvers, Bayesian inverse problems, extreme event probability estimation, and optimization under uncertainty. Applications in climate (sea/land ice, tsunamis), plasma physics (fusion), and computational earth science (mantle flow, plate tectonics). Recent Research Trends: His work emphasizes scalable algorithms for high-dimensional Bayesian inverse problems, with applications to tsunamis, stellarator coil design, and ice sheet dynamics. Recent articles highlight advancements in extreme event probability estimation and robust multigrid solvers for incompressible Stokes equations. Awards: Gordon Bell Prize (2015) for extreme scalability of implicit solvers. SIAM Best Paper Prize (2019) for computational science contributions. Young Scientist ASCINA Award and Springer CSE Prize (2011). Advising & Grants: Current PhD student Sonia Reilly and former advisees include Chen Li and Shanyin Tong. His research is supported by NSF, ONR MURI, and the Simons Foundation. He co-leads the Computational Mathematics and Scientific Computing Seminar at Courant. Labs & Collaborations: Active in Courant’s interdisciplinary groups, focusing on high-performance computing and inverse problems. Collaborates with institutions like UT Austin on mantle dynamics and fusion energy projects.

Kyle Hanquistمشاهده پروفایل

استادیار

• Hypersonics
• Aerothermodynamics
• Nonequilibrium Flows
• +۱۱ مورد دیگر

Kyle Hanquist is an Assistant Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona, where he is also a member of the Graduate Faculty. He directs the Computational Hypersonics and Nonequilibrium Laboratory (CHANL), focusing on advanced simulation techniques for high-speed flows. His academic journey includes a PhD and MSE in Aerospace Engineering from the University of Michigan and a BSE in Mechanical Engineering from the University of Nebraska. PhD, Aerospace Engineering, University of Michigan, Ann Arbor MSE, Aerospace Engineering, University of Michigan, Ann Arbor BSE, Mechanical Engineering, University of Nebraska, Lincoln Dr. Hanquist's research centers on hypersonics, aerothermodynamics, and nonequilibrium flows , with strong emphasis on computational fluid dynamics , low-temperature plasmas , and thermal management systems . His work involves modeling complex physical phenomena such as electron transpiration cooling, plasma-assisted flow control, and high-temperature gas effects in reentry environments. He also investigates molecular gas dynamics and finite-rate chemistry in extreme conditions. His recent publications reveal a strong trend in computational modeling of hypersonic boundary layers , plasma sheaths , and shock-tube validation of thermochemical models . The interdisciplinary nature of his work spans aerospace engineering, plasma physics, and materials response under extreme thermal loads. Much of his research integrates multi-physics simulations to address fluid-thermal-structural interactions critical for next-generation hypersonic vehicles. Dr. Hanquist has received several scientific honors, including: 2020 AIAA Plasmadynamics and Lasers Best Paper Award Editor's Choice, AIP Publishing - Physics of Fluids (Summer I 2020) Featured Article, AIP Publishing - Physics of Fluids (Summer I 2021) Frontiers in Physics – Plasma Physics (Spring 2020) As an advisor and lab director, he mentors graduate students in computational hypersonics and collaborates with institutions like NASA and the University of Michigan. His research is supported by grants from aerospace and defense agencies, though specific funding sources are not listed. He teaches courses in fluid mechanics, numerical methods, and nonequilibrium flows, contributing to both undergraduate and graduate education. He leads the Computational Hypersonics and Nonequilibrium Laboratory (CHANL) , which develops and applies high-fidelity simulation tools for hypersonic applications. The lab focuses on kinetic modeling, plasma interactions, and optimization of thermal protection systems, often using massively parallel CFD codes and multi-fidelity surrogate models.

Haochen Liمشاهده پروفایل

استادیار

• Environmental Fluid Dynamics
• Computational Fluid Dynamics
• Physics-informed Machine Learning
• +۷ مورد دیگر

Haochen Li is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, within the College of Engineering. He leads the multidisciplinary Water Infrastructure Laboratory (Ψ Lab), which focuses on advancing urban water infrastructure through high-fidelity computational fluid dynamics (CFD), physical modeling, and physics-informed machine learning (ML). Education: PhD in Environmental Engineering, University of Florida, 2019 MS in Mechanical Engineering, University of Florida, 2019 MS in Civil Engineering, University of Florida, 2015 BS in Coastal Engineering, Hohai University, 2013 His research centers on environmental fluid dynamics , particularly multiphase and multiphysics flows in urban water systems. He investigates turbulence, particulate matter transport, pathogen fate, and chemical dynamics using advanced CFD simulations, volumetric particle image velocimetry (PIV), and AI-driven models. His lab develops open-source tools like InterAdsFoam for adsorption systems and integrates ML with CFD to optimize infrastructure design, retrofit, and regulatory frameworks. The recent publications reflect a strong trend toward hybrid CFD-ML frameworks for water infrastructure, with applications in clarifier design, stormwater basin optimization, and real-time sensing. His work emphasizes model validation, scalability, and practical deployment, including web-based tools for engineers. Scientific Awards: Rudolph Hering Medal, ASCE, 2023 Editor choice, Journal of Environmental Engineering ASCE, 2021 Editor choice, Journal of Environmental Engineering ASCE, 2020 Graduate School Fellowship, University of Florida, 2015 Academic Achievement Award, University of Florida, 2013 Haochen Li actively advises researchers and students in his lab, including Kai Liu, Mohamed Shatarah, and Ahmed Abdelmeguid. His team works on AI-empowered reactive flows, physics-informed ML, and CFD applications in energy and environmental systems. He has served as a reviewer for top journals and is a member of the ASCE/EWRI Computational Fluid Dynamics Committee. His lab is equipped with state-of-the-art HPC platforms and physical modeling facilities for experimental validation.

Samuel Walshمشاهده پروفایل

دانشیار

• Nonlinear Partial Differential Equations
• Water Waves
• Steady Waves
• +۷ مورد دیگر

Samuel Walsh is an Associate Professor in the Mathematics Department at the University of Missouri, within the College of Arts and Science. His research focuses on nonlinear partial differential equations, particularly those arising in fluid dynamics and water wave theory. He is actively involved in the academic community, organizing the Differential Equations Seminar and advising both graduate and undergraduate students. PhD in Applied Mathematics, Brown University, 2010 BS in Mathematical Sciences, Carnegie Mellon University Former Courant Instructor, New York University His primary research interests lie in nonlinear PDEs , especially water waves , steady waves , and dispersive systems . He investigates existence, stability, and qualitative properties of solutions in fluid mechanics, including solitary waves, internal waves, and vorticity-driven flows. His work often involves rigorous analysis of free boundary problems and global bifurcation theory. Analysis of his recent publications reveals a strong focus on solitary and traveling water waves , particularly with vorticity, stratification, and interfacial effects. His work bridges rigorous mathematical analysis with physical fluid dynamics, emphasizing existence, stability, and asymptotic behavior. A recurring theme is the use of bifurcation theory and nonlinear functional analysis to construct and classify solutions to hydrodynamic PDEs. Walsh has received research support from the National Science Foundation (grants DMS-1514950, DMS-1812436, DMS-2306243) and the Simons Foundation (Award 960210). These grants support his ongoing work in nonlinear wave phenomena and fluid dynamics. National Science Foundation: DMS-1514950, DMS-1812436, DMS-2306243 Simons Foundation: Award 960210 He has advised numerous graduate students, including PhD candidates and MS students, many of whom have completed their degrees on topics related to water waves and PDE analysis. He also serves as the Math Competition Advisor at MU, mentoring undergraduates for the Putnam exam. Additionally, he mentored students in the 2012 Summer Undergraduate Research Experience (S.U.R.E.) at Courant. Samuel Walsh organizes the Differential Equations Seminar at the University of Missouri, fostering academic exchange and collaboration in the field of PDEs and applied analysis.

• Nonlinear Dynamics
• Model Reduction
• Data-Driven Modeling
• +۴ مورد دیگر

George Haller is a Professor at the Department of Mechanical and Process Engineering at ETH Zurich . He leads the Institute of Mechanical Systems and holds the Chair in Nonlinear Dynamics . His research focuses on: Nonlinear dynamical systems theory Data-driven model reduction Spectral submanifolds (SSMs) Coherent structure identification in fluids and solids Control of complex nonlinear systems His recent work emphasizes equation- and data-driven modeling across solids, fluids, and control systems . Key contributions include: SSMTool - a MATLAB package for nonlinear model reduction SSMLearn - open-source software for data-driven modeling Transport barrier detection algorithms with oceanographic applications Scientific accolades include: 2025 Lyapunov Award (ASME) 2023 Stanley Corrsin Award (APS) Fellowships: ASME, APS, SIAM External Member, Hungarian Academy of Sciences His group has trained notable alumni: Thomas Breunung (Assistant Professor, University of Wisconsin-Madison) Shobhit Jain (Assistant Professor, Delft University of Technology) Mattia Serra (Assistant Professor, UCSD) Publications span Nonlinear Dynamics, Nature Communications , and Physical Review Fluids , with a 2025 book Modeling Nonlinear Dynamics for Equations and Data (SIAM Press). Current projects include: Reduced-order modeling of fluid-structure interactions Control of soft robots via nonlinear dynamics Identifying material barriers in turbulence

• Nanobiotechnology
• Biophysics
• Colloid and Interface Science
• +۴ مورد دیگر

Assoc. Prof. Dietmar Pum is a leading researcher at the Institute of Biophysics, University of Natural Resources and Life Sciences, Vienna (BOKU). With a career spanning over three decades, he has pioneered work on S-layer proteins as nanobiotechnological tools and biomimetic surface functionalization. His research bridges microbiology, biophysics, and nanomaterials science. Education & Career Doctorate (1984) and Habilitation (1992) at Vienna University of Technology Awarded FEBS (1987) and EMBO (1982) fellowships Assoc. Univ. Prof. since 1997, Deputy Head of Biophysics Institute since 2014 Research Focus Dr. Pum's work centers on leveraging S-layer proteins for nanoscale fluid mechanics , molecular imprinting , and biohybrid materials . His projects explore: Self-assembly of 2D protein crystals Functionalization of carbon nanotubes Biomimetic sensor development Applications in diagnostics and environmental technology Publication Trends His recent publications (2025-2019) highlight interdisciplinary advancements in: Nanoscale biofluid dynamics Gold nanoparticle synthesis via microbial enzymes Archaeal S-layer characterization Protein-directed nanomaterials Biosensor platforms Lipid quantification via machine learning Scientific Recognition Philip Morris Research Prize (1998) Cardinal Innitzer Prize (1992) ÖAGM Prize (1986) Peer reviewer for Nature Materials , Advanced Materials , and Biophysical Journal Advising & Collaborations Dr. Pum has supervised over 15 theses, mentoring students in topics ranging from Caenorhabditis elegans imaging to nanomembrane fabrication. He leads international collaborations under EU Horizon and FWF grants, including the Stimuli Responsive Materials project (2020-2025). Labs & Networks As a core member of BOKU's Center for NanoBiotechnology and the Ludwig Boltzmann Institute for Molecular Nanotechnology , he develops bioinspired nanomaterials and contributes to global programs in molecular self-assembly.

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

Wouter Bos is a Research Director at CNRS working at the Laboratory of Fluid Mechanics and Acoustics (LMFA) at École Centrale de Lyon, France. He leads research within the Turbulence & Instabilities team, focusing on fundamental aspects of fluid dynamics with applications spanning from plasma physics to epidemiology. His academic journey reflects a deep engagement with theoretical and computational fluid mechanics, particularly in turbulence phenomena. Dr. Bos's research interests center on fluid dynamics, with particular emphasis on turbulence in various contexts including two-dimensional flows, magnetohydrodynamics, plasma physics, and statistical mechanics of fluids. His work explores fundamental questions about energy transfer, coherent structures, and statistical properties of turbulent flows. He has made significant contributions to understanding turbulence without vortex stretching, two-dimensional turbulence, and the application of fluid dynamics principles to epidemiological modeling. Analysis of his recent publications reveals a strong focus on theoretical and computational approaches to turbulence. His work spans from fundamental questions about equilibrium states in two-dimensional turbulence to practical applications in plasma confinement and epidemic modeling. The publications demonstrate consistent innovation in turbulence theory, with particular attention to statistical mechanics approaches, spectral analysis, and the development of reduced-order models for complex fluid phenomena. His research shows growing interdisciplinary connections, especially between fluid dynamics and epidemiology as evidenced by his work on modeling the spread of infectious diseases. Dr. Bos actively supervises doctoral students and postdoctoral researchers, with recent students including Tong Wu, Ryo Araki, Smiron Varghese, Wesley Agoua, and Bruce (Xi Yuan) Yin. He participates in collaborative research projects such as the ANR CM2E project (2021-2025) on Characteristic Mapping Method for the Euler Equations, working with researchers from Aix-Marseille University and McGill University. His laboratory work involves both theoretical analysis and computational simulations, with applications ranging from fundamental fluid mechanics to practical problems in energy research (particularly related to ITER and fusion plasma physics) and public health. The interdisciplinary nature of his research demonstrates the broad applicability of fluid dynamics principles across seemingly disparate scientific domains.

Tim Rogersمشاهده پروفایل

استاد

• Stochastic Processes
• Random Matrix Theory
• Collective Behavior
• +۴ مورد دیگر

Professor Tim Rogers is affiliated with the University of Bath as a faculty member in the Department of Mathematical Sciences . He is actively involved in research spanning complex systems, network theory, and stochastic processes. PhD in Random Matrix Theory from King's College London (2010) His research focuses on emergent behavior in random systems , including: Collective Behavior : Crowd dynamics, lane formation, and noise-enhanced synchronization Epidemics & Networks : Spread prediction, node risk assessment, and misinformation impacts Ecology & Evolution : Trait emergence, species boundaries, and demographic noise effects Random Matrix Theory : Spectral analysis and applications to complex systems Publication trends reflect interdisciplinary work bridging Physics, Biology, and Mathematics , with a focus on network structures , stochastic modeling , and emergence phenomena . Scientific awards include: 2015 : Editor's Choice for Europhys. Lett. 109, 28005 2016 : Highlight of Journal of Physics A 2017 : Editor's Suggestion for Phys. Rev. E 92, 032708 He has supervised numerous PhD students and postdocs on projects related to stochastic dynamics , network modeling , and mathematical biology , with ongoing grants from agencies like EPSRC and The Leverhulme Trust .

• Gas Hydrates
• Chemical Engineering
• Flow Assurance
• +۴ مورد دیگر

Zachary Aman is a Professor in the School of Engineering , Chemical Engineering department at the University of Western Australia . His research focuses on gas hydrates , flow assurance , and subsea pipeline management , with applications in petroleum engineering and hydrocarbon processing . Research Output: 127 publications Grants: 53 funded projects H-index: 39 Research interests include: Hydrate formation kinetics and rheology Subsea flowline stability and inhibition Hydrocarbon separation under high-pressure Novel composite materials and ionic liquids for hydrate management Article Trends highlight his work on hydrate probability models , flowloop experiments , and environmental applications like oil spill modeling and CO 2 capture. His recent work explores nanostructured additives and transient simulation tools for energy and environmental systems. Grants and Supervision reflect 53 funded projects and 19 supervised works, indicating active mentorship and industry collaboration.

• Tribology
• Lubrication Engineering
• Acoustic Sensor Development
• +۳ مورد دیگر

Professor Rob Dwyer-Joyce is a leading academic in Tribology and Lubrication Engineering at the University of Sheffield , School of Mechanical, Aerospace and Civil Engineering. He serves as Director of the Centre for Doctoral Training in Integrated Tribology and manages the Leonardo Centre for Tribology. A Fellow of both the Royal Academy of Engineering and the Institution of Mechanical Engineers, his work focuses on developing ultrasonic sensors for real-time lubrication and wear monitoring in industrial systems. Academic Affiliation: University of Sheffield (since 1994) Education: BEng Mechanical Engineering (Imperial College), PhD Tribology Industry Experience: Former British Gas engineer (Rough gas field) His research interests center on industrial wear problems , lubrication metrology , and acoustic sensor development . Key applications include wind turbine bearings, marine diesel engines, and automotive systems. His team’s innovations in tribo-acoustic sensors have enabled non-invasive oil film thickness and viscosity measurements in challenging environments. Recent scientific contributions span lithium-ion battery monitoring, wind turbine bearing dynamics, and marine engine lubrication, with over 30 publications since 2020. Awards include the EPSRC Advanced Career Fellowship in Tribo-Acoustic Sensors and recognition as a Royal Academy of Engineering Fellow . Contact: r.dwyer-joyce@sheffield.ac.uk

• Building Physics
• Numerical Modeling
• Heat and Mass Transfer
• +۶ مورد دیگر

Angela Sasic Kalagasidis is a Professor and Department Head at Chalmers University of Technology , leading the Building Physics research group. She serves as a board member of the Moisture Center at Lund University of Technology , contributing to interdisciplinary research in building science. Building Physics Heat and Mass Transfer Energy Efficiency Moisture Safety Indoor VOC Emissions Climate Change Adaptation Her recent publications focus on aerogel-based materials for insulation, urban heat island mitigation , and thermal energy storage systems . Key methodologies include CFD simulations , field testing , and life cycle assessment frameworks . Research trends show emphasis on: Advanced computational tools for hygrothermal analysis Integration of phase change materials in building systems Climate resilience in building envelopes Optimization of ventilation and moisture control

Behrooz Yousefzadehمشاهده پروفایل

دانشیار

• Mechanical Vibration
• Nonlinear Dynamics
• Elastic Wave Propagation
• +۵ مورد دیگر

Behrooz Yousefzadeh is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University, Montreal. He leads the Wave and Vibration Engineering (WAVE) Lab, affiliated with the Applied Mathematics Lab of Quebec’s Centre de Recherches Mathématiques (CRM) and the Concordia Institute of Aerospace Design and Innovation (CIADI). His research focuses on nonlinear dynamics, mechanical metamaterials, architectural acoustics, and elastic wave propagation in periodic systems. His work bridges engineering, applied physics, and mathematics, with applications in vibration analysis of turbomachinery and novel wave-steering materials. Research Interests Mechanical vibrations and nonlinear dynamics Elastic wave propagation and metamaterials Stability analysis and architectural acoustics Nonreciprocal wave phenomena in spatiotemporally modulated systems Publications & Trends Recent work emphasizes nonreciprocal dynamics in modulated materials, phase-preserved wave steering, and defect engineering in periodic systems. Key contributions include experimental validation of nonreciprocal wave propagation and computational methods for nonlinear system analysis. Over 25 peer-reviewed articles highlight advancements in metamaterial design, parametric instability, and coiling fluid dynamics. Scientific Awards Best Paper Award at the International Symposium on Optomechatronic Systems (2014) Advising & Grants Supervised 6 students to completion (PhD/MASc). Active in securing research funding through collaborative projects with CRM, CIADI, and industry partners. Organized sessions at major conferences like SIAM, ICTAM, and Phononics. Labs & Collaborations WAVE Lab explores cutting-edge topics including: nonlinear wave steering, acoustic black holes in timber structures, and coiling patterns in fluid mechanics. Collaborations span applied mathematics, materials science, and aerospace engineering.

• Water Treatment
• Wastewater Management
• Environmental Engineering
• +۶ مورد دیگر

Professor Jega Jegatheesan is a faculty member at the School of Engineering at RMIT University in Australia. His research focuses on environmental and chemical engineering, with a particular emphasis on water treatment, resource recovery, and sustainable technologies. He leads projects addressing wastewater management, membrane technologies, and nature-based solutions for urban water systems. His work spans interdisciplinary areas such as desalination, biochar applications, and the recovery of valuable metals from industrial waste. Professor Jegatheesan holds a leadership role in supervising research projects, including studies on lithium-ion battery recycling, brine management, and environmental impact assessments. He collaborates internationally on initiatives like scaling nature-based water treatment technologies in Southeast Asia. His contributions bridge academia and industry, emphasizing sustainable practices and environmental policy.