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Susan D. HovorkaView profile

Research Professor

• Geological Sequestration of Greenhouse Gases
• Sedimentology
• Reservoir Characterization
• +3 more

Dr. Susan D. Hovorka is a Research Professor at the Bureau of Economic Geology, The University of Texas at Austin, specializing in geological techniques for environmental applications. She focuses on subsurface permeability dynamics in both tight and highly transmissive systems, with a primary emphasis on geological carbon sequestration and CO₂ storage security. Ph.D. in Geology (1990), The University of Texas at Austin M.A. in Geology (1981), The University of Texas at Austin B.A. in Geology (1974), Earlham College Her research addresses critical challenges in carbon geological storage, including: Characterizing salt formations as containment materials Analyzing carbonate fabrics for karst aquifer flow understanding Field CO₂ injection experiments for sequestration assessment Developing composite confining systems for secure CO₂ retention The articles she has contributed to since 2002 demonstrate a consistent focus on: Carbon capture and storage (CCS) technologies Reservoir pressure dynamics and fault permeability Permit-ready site workflows and risk mitigation Geological analogs from petroleum systems Dr. Hovorka actively collaborates with institutions like the Gulf Coast Carbon Center (GCCC) and participates in international CCS initiatives. Her work integrates sedimentology, geophysics, and environmental policy to advance subsurface carbon management solutions.

William HarbertView profile

Professor

• Geophysics
• Seismic Processing
• Microseismic Analysis
• +5 more

William Harbert is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, where he leads research in geophysics and subsurface characterization. His work bridges fundamental geophysical principles with practical applications in energy and environmental systems. Education: MS in Exploration Geophysics from Stanford University PhD in Geophysics from Stanford University Research focuses on seismic analysis across multiple scales, from micro-CT to surface seismic. His group specializes in advanced processing of microseismic, reflection seismic, and VSP data to image subsurface structures and understand pore-scale dynamics. Current work integrates deep learning for geophysical object detection and classification, with emphasis on organic shale systems and CO 2 storage monitoring. Key areas include rock physics, microseismicity analysis, and environmental geophysics for water quality assessment. Publication trends show strong emphasis on energy-related geophysics, particularly hydraulic fracturing monitoring, CO 2 sequestration verification, and unconventional reservoir characterization. Recent work increasingly incorporates machine learning techniques and addresses environmental monitoring challenges in subsurface operations. Scientific recognition: DOE ORISE Research Associate Resident Institute Fellow of the NETL-Institute for Advanced Energy Solution Professional engagements include membership on the Altarock Review Board for DOE-funded geothermal projects and prior service on the Scientific Advisory Board for the In Salah CO 2 Injection Project. His research involves extensive collaboration with national laboratories and industry partners on subsurface monitoring technologies. His laboratory group develops advanced geophysical processing techniques for subsurface imaging across multiple scales, with current projects focusing on microseismic monitoring of shale reservoirs and CO 2 storage sites.

Ronald D. HaynesView profile

Professor

• Numerical Analysis
• Partial Differential Equations
• Optimization Algorithms
• +2 more

Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.

• Theoretical/computational mechanics of materials
• Computational plasticity
• Multi-scale material modeling
• +4 more

Curt Bronkhorst is the Harvey D. Spangler Professor of Engineering and Professor of Applied Mechanics in the Department of Mechanical Engineering at the University of Wisconsin-Madison. He received his B.S. in Mechanical Engineering and Mathematics (1985), M.S. (1988), and Ph.D. (1991) in Mechanical Engineering from the Massachusetts Institute of Technology. His career includes roles as Senior Scientist at Weyerhaeuser (1991–2002) and Scientist/Project Leader at Los Alamos National Laboratory (2002–2019) before joining UW-Madison. He leads the Army Research Laboratory's Center for Extreme Events in Structurally Evolving Materials and contributes to the Theoretical and Computational Mechanics of Materials Group . PhD (1991) - Massachusetts Institute of Technology MS (1988) - Massachusetts Institute of Technology BS (1985) - University of Wisconsin-Madison Bronkhorst's research focuses on theoretical and computational mechanics of materials , particularly under extreme conditions. Key themes include: Coupled thermo-mechanical deformation Finite elasticity and dislocation slip plasticity Deformation twinning and phase transformations Pore nucleation and adiabatic shear banding Brittle-to-ductile transition mechanisms Multi-scale modeling of damage evolution His 2025–2023 publications emphasize data-driven modeling , void nucleation , and machine learning integration in EBSD analysis. Recent work explores gradient nanostructured metals and low-grain polycrystal stress heterogeneity . 2019: Harvey D. Spangler Professorship 2012: DOE Defense Programs Award (Implosion Predictive Capability) 2009: DOE Outstanding Mentor Award 2007–2008: Los Alamos Distinguished Performance Awards Fellow, American Society of Mechanical Engineers Member, Phi Kappa Phi and Tau Beta Pi Honor Societies Bronkhorst serves as Associate Editor for the International Journal of Plasticity and president of Northland Partners, LLC. He is affiliated with UW-Madison's Nuclear Engineering & Engineering Physics and Materials Science & Engineering departments. No formal advisees are listed, but his computational framework has been adopted in grants like the DMREF collaborative research on grain-interface design.

Sumanta DasView profile

Associate Professor

• Sustainable Cementitious Materials
• Microstructure and Material Modeling
• Materials Design for Sustainable and Durable Infrastructure
• +5 more

Dr. Sumanta Das is an Associate Professor and Graduate Director in the Department of Civil and Environmental Engineering at the University of Rhode Island. His research focuses on sustainable infrastructure materials, with particular expertise in cementitious materials, composite structures, and advanced computational modeling techniques. He directs a vibrant research group that bridges experimental mechanics with computational modeling and machine learning approaches to address challenges in infrastructure durability and performance. Dr. Das received his educational training from prestigious institutions: Ph.D. in Materials and Structures from Arizona State University (2015) M.Tech. in Structural Engineering from Indian Institute of Technology, Kanpur (2012) B.E. in Civil Engineering from Jadavpur University (2010) His research interests center around developing sustainable and durable infrastructure materials through innovative design approaches. Dr. Das investigates microstructure-property relationships in cementitious systems, with special focus on materials containing microencapsulated phase change materials for freeze-thaw durability, fiber-reinforced composites, and smart cementitious materials with self-sensing capabilities. His work integrates advanced experimental techniques like nanoindentation with computational modeling approaches including finite element analysis, molecular dynamics simulations, and machine learning algorithms to predict material behavior and optimize performance. Dr. Das's recent publications demonstrate a clear trajectory toward integrating machine learning with traditional materials science approaches. His research group has made significant contributions to understanding the behavior of cementitious composites under extreme conditions, developing multifunctional composites with embedded sensing capabilities, and creating computational frameworks that bridge multiple scales from molecular to structural levels. The work shows increasing sophistication in combining experimental validation with predictive modeling. Dr. Das has successfully secured numerous research grants as PI or Co-PI from diverse funding sources including the Office of Naval Research, Department of Defense, US Department of Transportation, and industry partners like Goetz Composites. His research portfolio spans infrastructure durability, composite materials for marine applications, and smart sensing technologies for structural health monitoring. As an educator and mentor, Dr. Das has supervised multiple doctoral and master's students who have completed theses on topics including: Multiscale simulation and machine learning-assisted performance prediction for cementitious composites Performance-based multiscale tuning of inclusion-modified and 3D printed composites Enhancing freeze-thaw durability of cementitious composites through innovative materials design Underwater explosion response of composite structures Implosion pulse mitigation using additively manufactured filler profiles

Srishti BanerjiView profile

Assistant Professor

• Construction Materials
• Structural Fire Engineering
• Sustainable Infrastructure
• +4 more

Dr. Srishti Banerji is an Assistant Professor in the Department of Civil and Environmental Engineering at Utah State University and Director of the Systems, Materials, and Structural Health (SMASH) Lab. She leads research on advanced construction materials, structural resilience under extreme loads (particularly fire), sustainable infrastructure, and structural health monitoring. Her group focuses on experimental testing, numerical simulations, and developing design solutions for civil infrastructure. Education: PhD in Civil (Structural) Engineering, Michigan State University (2021) MS in Civil (Structural) Engineering, Concordia University (2016) BS in Civil Engineering, National Institute of Technology Silchar (2013) Research Focus: Her work spans: 1) Characterization of high-performance/sustainable materials (e.g., UHPC, recycled glass pozzolan), 2) Structural behavior under fire exposure, 3) Integration of electric charging systems in concrete pavements, 4) Non-destructive testing and structural health monitoring, and 5) Retrofitting techniques for infrastructure strengthening. She employs machine learning, thermo-mechanical modeling, and full-scale experimentation. Publication Trends: Her 13+ journal articles primarily analyze fire resistance of concrete/timber structures, UHPC material properties at high temperatures, sensor-based infrastructure monitoring, and sustainable material development. Recent works increasingly incorporate machine learning and electrification concepts. Awards & Honors: Teacher of the Year (USU, 2025) ASCE ExCEEd Faculty Teaching Fellowship (2023) Top Cited Article Award, Fire and Materials Journal (2023) SHMII-11 Early Career Grant (2022) NSERC Scholarship (2015) Best Conference Paper (SEC 2016) Current Projects & Teams: She leads 5+ funded projects including fire performance of polymer concrete, self-healing concrete for bridges, and Utah-sourced UHPC development. Mentees include 3 PhD students (Abdullah Al Sarfin, Mehrnoosh Nazari, Mahmoud Ali) and alumni working on sustainable materials and additive manufacturing.

Roland N. HorneView profile

Professor

• Geothermal reservoir engineering
• Energy production optimization
• Well test interpretation
• +8 more

Roland N. Horne is the Thomas Davies Barrow Professor of Earth Sciences at Stanford University and Senior Fellow at the Precourt Institute for Energy. He holds positions in the Department of Energy Science & Engineering and is an Affiliate at the Stanford Woods Institute for the Environment. With degrees from the University of Auckland (BE, PhD, DSc), Horne has established himself as a leading expert in geothermal reservoir engineering and energy production optimization. His research focuses on inverse problems in reservoir modeling, including tracer analysis of fractures, computer-aided well test analysis, production schedule optimization, and automated history matching. Horne has made significant contributions to understanding geothermal reservoir engineering and multiphase flow of boiling fluids through porous materials and fractures. The analysis of his recent publications (2023-2025) reveals a strong emphasis on enhanced geothermal systems (EGS), with particular focus on flexible operations, economic modeling, and advanced characterization techniques. His work increasingly incorporates machine learning approaches for reservoir analysis and has expanded into microbial tracing methods for interwell connectivity assessment. There's also significant attention to US geothermal resource potential and integration into the broader energy transition. Honorary Member of the Society of Petroleum Engineers Member of the US National Academy of Engineering Multiple SPE Distinguished Lecturer appointments (1998, 2009, 2020) John Franklin Carl Award recipient Five Best Paper awards from Geothermal Resources Council Patricius Medal from German Geothermal Society Core Values Award from Women in Geothermal (2023) Horne has supervised 60 PhD and 135 MS students throughout his career. His current teaching includes undergraduate and graduate courses in Fundamentals of Energy Processes, Geothermal Reservoir Engineering, Mass and Energy Transport in Porous Media, and Well Test Analysis. He previously served as President of the International Geothermal Association (2010-2013) and Technical Program Chair for multiple World Geothermal Congress events. Horne maintains active research collaborations worldwide, including with the University of Tokyo (where he was a Fellow of the School of Engineering in 2016) and China University of Petroleum. His current research group focuses on advancing EGS technologies and developing more accurate reservoir characterization methods for geothermal applications.

Greeshma GadikotaView profile

Associate Professor

• Carbon Capture and Storage
• Sustainable Energy Technologies
• Resource Recovery
• +7 more

Greeshma Gadikota is an Associate Professor and Croll Sesquicentennial Fellow at Cornell University's School of Civil and Environmental Engineering. She directs the Sustainable Energy and Resource Recovery Group, focusing on carbon capture, mineralization, and sustainable energy technologies. Her work addresses global challenges in decarbonizing industries like steel, aluminum, and mining while advancing low-carbon materials. Education: B.S., Chemical Engineering, Michigan State University (2007) M.S., Operations Research, Columbia University (2008) M.S., Chemical Engineering, Columbia University (2011) Ph.D., Chemical Engineering, Columbia University (2014) Research: Dr. Gadikota’s research integrates multiphase chemical interactions to engineer CO2 capture and utilization. Key areas include carbon-negative mining, geothermal lithium extraction, and mineralizing CO2 into construction materials. Her innovations aim to close material and carbon cycles in industries like cement production and steel manufacturing. Awards & Recognition: DOE CAREER Award MIT Rising Stars in CEE Thrust Lead for DOE-EFRC MUSE Best Paper Award (Carbon Mitigation Initiative/BP) Grants & Partnerships: DOE-funded decarbonization of cement via CO2 mineralization Partnerships with Nucor Steel and Stillwater Critical Minerals for sustainable mining NSF Innovation Corps grant for carbon mineralization startups Labs & Teams: Leads the Gadikota Research Group and collaborates with Oak Ridge National Laboratory and industry partners on projects like the MINER Program for carbon-negative mineral recovery.

Jin XuanView profile

Professor

• Sustainable Processes
• Circular Economy
• AI in Energy Systems
• +4 more

Professor Jin Xuan is the Associate Dean (Research and Innovation) at the University of Surrey's Faculty of Engineering and Physical Sciences, and holds a Chair in Sustainable Processes. He is also a Turing Fellow at the Alan Turing Institute. Previously, he led the Department of Chemical Engineering at Loughborough University. His research focuses on net-zero energy, circular economy, and sustainable development through AI and engineering innovations. He has pioneered Energy and AI as an interdisciplinary field, leading advancements in multiscale predictive models for energy systems and low-carbon solutions. Roles: Associate Dean, Professor of Sustainable Processes, Turing Fellow Affiliations: University of Surrey, Alan Turing Institute Prior Position: Head of Chemical Engineering, Loughborough University His research interests span AI-driven energy systems, CO2 capture/utilization, and renewable energy devices like fuel cells and electrolysers. He has developed novel models for complex systems and co-founded journals such as Energy and AI. He leads the UKRI CircularChem Centre, recognized with the IChemE Global Sustainability Award (2023). Awards: Philip Leverhulme Prize (2022), Beilby Medal (2020) Professor Xuan’s work bridges academia and industry, emphasizing ethical and policy frameworks in energy systems. He advises on grants and collaborates globally, fostering innovation in digital twins and sustainable technologies.

• Materials Engineering
• Surface Science
• Thermal Spray Technology
• +7 more

Professor Christopher Berndt is a Distinguished Professor in Surface Science and Engineering at the School of Engineering, Swinburne University of Technology, where he joined in 2008 as the founding professor of this discipline. He previously held founding professorships at James Cook University and was a tenured professor at Stony Brook University, USA, where he remains an Adjunct Professor. He also served as a Fellow at NASA-Lewis Research Center, working on thermal barrier coatings. His leadership in professional societies includes serving as President of the Thermal Spray Society (ASM) and being inducted into the Thermal Spray Hall of Fame in 2007. His research interests center on materials engineering , particularly surface science , thermal spray technologies , high-entropy alloys , and coatings for extreme environments . He also contributes significantly to biomedical engineering through bioactive coatings and clean energy via advanced materials for batteries and hydrogen technologies. His work bridges fundamental materials science with industrial applications in aerospace, energy, and manufacturing. The recent publications reveal a strong focus on advanced thermal spray techniques such as HVOF and HVAF, development of high-entropy and medium-entropy alloys, and innovative coating applications in energy storage, corrosion resistance, and high-temperature protection. His research consistently emphasizes microstructural control, phase stability, and mechanical performance under extreme conditions. Inducted into the Thermal Spray Hall of Fame (2007) Fellow of the Australian Institution of Engineers Fellow of ASM International Fellow of The Institution of Metallurgists (UK) Fellow of ASME, ACS, and ACerS Chartered Engineer (UK) Professional Engineer (Australia) Member of the College of Bioengineers (Australia) Professor Berndt actively supervises numerous PhD students, with current projects on high-entropy alloys, internal pipe coatings, and biomedical surface engineering. He has secured extensive research funding from organizations including the Australian Research Council (ARC), Department of Defence, Office of Naval Research (US), and industry partners such as Entromat and Amaero Engineering. He leads major initiatives such as the ARC Training Centre in Surface Engineering for Advanced Materials (SEAM) and has contributed to commercialization projects in space vehicle manufacturing. He is the Founding Editor and now Editor Emeritus of the Journal of Thermal Spray Technology and has edited over 10 conference proceedings. His research network spans across Australia, the USA, and Thailand, reflecting a strong international collaborative footprint in advanced materials research.

• Geomaterials Physics
• Soft Matter
• Structured Materials
• +13 more

Dr. Nicolas Francois is an Associate Professor in the Department of Materials Physics at Australian National University (ANU), specializing in experimental geomaterials physics, soft matter, and fluid hydrodynamics. He leads the X-ray Tomography and Applications Research Group, combining curiosity-driven and applied research in out-of-equilibrium systems. ARC Industry Fellow (2024-2030): Improving Australian iron ore comminution for green steel production ARC DECRA Fellow (2016-2018): Biofilms in two-dimensional turbulent flows His research spans fundamental questions in: Fragmentation of solid materials Autonomous devices powered by chaotic flows Hydrodynamic waves Stochastic thermodynamics Granular matter Polymer rheology and applied areas in: Comminution of geomaterials Mechanics of fractured rocks Wave-energy conversion Environmental fluid mechanics Publications reveal a trajectory focused on X-ray tomography applications, granular dynamics, and turbulence-driven systems. He utilizes advanced imaging techniques to study material failure mechanisms and fluid-structure interactions, contributing to fields ranging from green steel production to biofilm dynamics. Current student projects and grants emphasize sustainable resource processing and fundamental fluid physics.

Peter K. KangView profile

Associate Professor

• Hydrogeology
• Groundwater Flow
• Reactive Transport
• +6 more

Peter K. Kang serves as Associate Professor & Gibson Chair of Hydrogeology in the Department of Earth & Environmental Sciences at the University of Minnesota. His research is affiliated with the St. Anthony Falls Laboratory and the Kang Research Group. Dr. Kang's research focuses on the physics of flow and reactive transport in porous and fractured media. His work combines theory, high-performance numerical simulations, machine learning, and visual laboratory experiments to understand how coupled processes control mixing and reactive transport across spatial scales (from pore to field scale). His research has applications in groundwater management, subsurface energy systems, and environmental protection. Current research opportunities include undergraduate projects in microfluidics laboratory experiments to visualize groundwater processes and fieldwork to characterize fractured aquifers. Dr. Kang is actively accepting both undergraduate and graduate research students into his research group. His methodological approach integrates multiple disciplines, with particular emphasis on developing predictive models for practical environmental applications through the innovative combination of computational methods and experimental validation.

Aniket AmbekarView profile

Research Fellow

• Multiphase Flow
• Fluid Mechanics
• Computational Fluid Dynamics
• +3 more

Aniket Ambekar is a Research Fellow at the Department of Chemical Engineering and Chemistry, Eindhoven University of Technology. His research focuses on multiphase flow dynamics in porous media, with expertise in computational fluid dynamics (CFD) and experimental validation techniques. He holds a PhD in Chemical Engineering from the Indian Institute of Technology Delhi (2022), an MSc in Computational Fluid Dynamics from National Institute of Technology (2016), and a BSc in Chemical Technology from the University of Pune (2013). Research interests include packed bed hydrodynamics, gas-liquid flow mechanisms, and the role of wettability in two-phase systems. His work combines high-resolution simulations (e.g., volume-of-fluid method) with experimental measurements to study flow regimes, interfacial dynamics, and phase distribution. Notable contributions address perforation effects in structured packings, particle aspect ratio impacts, and monolith gas-liquid interactions. He has received prestigious awards including the Marie Skłodowska-Curie postdoctoral fellowship (2022) and the Outstanding Ph.D. Thesis Award (2024). Collaborations span European institutions, focusing on energy-efficient separation processes and reactor design optimization.

Amir MiriView profile

Assistant Professor

• 3D Bioprinting
• Tissue Engineering
• Biomaterials
• +4 more

Dr. Amir K. Miri is an Assistant Professor in the Department of Biomedical Engineering at New Jersey Institute of Technology (NJIT) and Director of the Advanced Biofabrication Lab. His work focuses on additive manufacturing for biomedical applications, particularly bioprinting technologies for tissue regeneration and disease modeling. After receiving his PhD in Mechanical Engineering from McGill University (2013) and completing postdoctoral training at the MIT-Harvard Division of Health Sciences and Technology, he began his academic career at Rowan University before joining NJIT. PhD, Mechanical Engineering, McGill University (2013) MSc, Mechanical Engineering, Sharif University of Technology (2007) BSc, Mechanical Engineering, Iran University of Science and Technology (2005) Dr. Miri's research spans advanced bioprinting platforms, including multi-axial extrusion, handheld printers, and digital light projection systems. His work emphasizes the development of biomimetic models for cancer, vocal fold tissue, and vascular systems, with a particular focus on microfluidic integration and material optimization for bioprinting. He has pioneered low-cost prototyping solutions for resource-limited settings and explored the role of extracellular matrix mechanics in cellular behavior. Key trends in his publications include 3D bioprinting for tumor modeling, microfluidic device applications in drug screening, and the use of hydrogels like GelMA in cancer research. His group has also advanced acoustic metasurface technology for biomedical wave manipulation and investigated the interplay between biomaterial rheology and bioprinting resolution. Dr. Miri leads a research team at NJIT focused on biofabrication and microfluidics, though specific student advisees are not listed in the provided information. His lab emphasizes interdisciplinary collaboration, particularly in the development of multi-material and multi-scale tissue constructs.

Kelly BurkettView profile

Associate Professor

• Statistical Genetics
• Genetic Epidemiology
• Biostatistics
• +3 more

Dr. Kelly Burkett is an Associate Professor in the Department of Mathematics and Statistics at the University of Ottawa, within the Faculty of Science. She specializes in Statistical Genetics and Genetic Epidemiology, focusing on genealogical relationships, population substructure, and family-based study designs. Her work includes software development for genetic data analysis, such as SMLE and GENLIB. Dr. Burkett holds an MSc and PhD from Simon Fraser University. Research Interests: Dr. Burkett’s research addresses challenges in genetic epidemiology, including maternal effects, gene-environment interactions, and the impact of population substructure on study design. Her methodologies often integrate computational tools to analyze large-scale genetic datasets. She actively collaborates with biomedical researchers, inspiring new questions in statistical genetics and genomics. Publications & Software: Her recent work includes studies on orofacial clefting etiology, software for high-dimensional feature screening, and genealogical simulations in French Canadian populations. Her articles span topics from computational genetics to molecular biology, emphasizing interdisciplinary approaches. Advising & Collaborations: Dr. Burkett has mentored over 20 students and trainees across MSc, PhD, and postdoctoral programs. Current advisees include Yuewen Pan (MSc) and Yuhao Feng (PhD). Past students hold roles in academia, healthcare, and industry. She collaborates on biomedical projects, leveraging statistical methods to address genetic and environmental interactions. Labs & Teams: While no formal lab is explicitly mentioned, her software contributions (e.g., hapassoc, sampletrees) and collaborative projects suggest involvement in computational biology and genetics research networks at the University of Ottawa and beyond.