جست‌وجوی استاد و پژوهشگر

Salome Shokri-Kuehniمشاهده پروفایل

مدرس

• Environmental Engineering
• Geo-Hydroinformatics
• Porous Media Dynamics
• +۵ مورد دیگر

Dr. Salome Shokri-Kuehni holds a dual role as a Lecturer at Hamburg University of Technology (TUHH) and a full-time Science Manager at DESY. She leads the Institute of Geo-Hydroinformatics B-9, focusing on environmental science and engineering education. Her academic journey includes a B.Sc. in Chemistry from the University of Massachusetts Boston and a PhD in Chemical Engineering from the University of Manchester (2018). Her postdoctoral research at Imperial College London explored earth science and engineering challenges. Education: B.Sc. Chemistry, UMass Boston; PhD Chemical Engineering, University of Manchester Professional Roles: TUHH Lecturer, DESY Science Manager Her research integrates advanced imaging techniques (e.g., synchrotron X-ray tomography) with theoretical models to study salt crystallization dynamics, porous media behavior, and environmental impacts of evaporation. Key focus areas include microplastics in soil, subsurface flow processes, and climate-sensitive hydrology. She actively contributes to interdisciplinary workshops like GRK 2462 on particle-fluid systems. Her publications span 2016-2024, emphasizing multiscale analysis of environmental processes and innovative teaching methods. Current research explores how environmental, economic, and health factors interact in regional vulnerability contexts, such as pandemic impacts. She leads teams advancing geohydroinformatics through collaborative projects and cutting-edge data analysis. Dr. Shokri-Kuehni's work bridges fundamental science and applied engineering solutions, with a strong emphasis on sustainability and interdisciplinary collaboration.

Dimitris Ipsakisمشاهده پروفایل

استادیار

• Control Systems
• Renewable Energy Systems
• Process Modeling and Simulation
• +۳ مورد دیگر

Dr. Dimitris Ipsakis is an Assistant Professor at the Technical University of Crete , affiliated with the School of Production Engineering and Management . He holds a Chemical Engineering Diploma from Aristotle University of Thessaloniki (2005), a PhD in Chemical Engineering (2011), and an MSc in Mathematics (2013). His research focuses on control systems for energy and environmental applications, process modeling, renewable energy systems, and techno-economic analysis. He has extensive experience in European and National projects, acting as an evaluator for research proposals. Education: Chemical Engineering Diploma (AUTH, 2005) PhD in Chemical Engineering (AUTH, 2011) MSc in Mathematics (AUTH, 2013) Research Interests: Control systems (conventional and advanced) for energy/environmental systems, process modeling/simulation, renewable energy integration, hydrogen production, and techno-economic assessments. His work emphasizes sustainable processes for energy systems and circular economy solutions. Key Contributions: Over 50 publications in prestigious journals/conferences, including studies on hydrogen production via electrolysis, biomass valorization, and smart grid management. He co-leads the Production Systems Laboratory and Industrial, Energy and Environmental Systems Laboratory , focusing on industrial process optimization and renewable energy systems. Labs/Teams: Active in two core laboratories at TUC, advancing research in production systems and energy sustainability. Collaborates with institutions like CERTH and Texas A&M University at Qatar.

Faiz Rahmanمشاهده پروفایل

دانشیار

• Semiconductor Materials
• Photonics
• Nanotechnology
• +۳ مورد دیگر

Dr. Faiz Rahman is an Associate Professor in Electrical Engineering and Computer Science at Ohio University's Russ College of Engineering and Technology. His research spans semiconductor materials, photonic devices, and lighting technologies, with specific focus on laser-driven illumination systems and zinc oxide semiconductors. Dr. Rahman holds adjunct appointments with the Nanoscale Quantum Phenomena Institute. Education: Ph.D. in Semiconductor Science & Technology from Imperial College London MSc from Imperial College London B.S./M.S. in Physics from Patna University Research expertise includes: Semiconductor materials characterization Photonics and laser technology Hybrid LED/laser lighting systems Nanofabrication techniques His publications demonstrate consistent focus on light-emitting technologies, with recent work exploring phosphor materials, microcavity structures, and UV radiation effects. The research employs methods ranging from cathodoluminescence studies to atomic layer processing. Dr. Rahman has authored books including From Edison to LEDs: The Science and Story of Light Sources and holds patents in solid-state emitters. No major scientific awards are listed. He maintains research collaborations and founded Electrospell Ltd. during his tenure at the University of Glasgow. Current projects involve omnidirectional light-trapping structures and laser-excited phosphors.

• Materials Science
• Microstructure Design
• Grain Boundary Dynamics
• +۳ مورد دیگر

Oliver Johnson is Associate Professor of Mechanical Engineering at BYU, where he researches microstructure design, grain boundary networks, and materials characterization using computational and experimental methods. His NSF CAREER-funded work develops Bayesian inference models for grain boundary properties and spectral graph approaches for microstructure optimization. Recent publications focus on ML-driven grain growth prediction, solute effects on boundary migration, and harmonic network analysis. Awards: NSF CAREER Award National Defense Science and Engineering Graduate Fellowship TMS Young Leaders Award He mentors multiple graduate students in materials science research and teaches courses in materials kinetics and manufacturing processes.

Gautam Dasمشاهده پروفایل

استاد

• Big Data Exploration
• Data Management
• Machine Learning
• +۵ مورد دیگر

Gautam Das is a distinguished academic serving as the Associate Dean for Research in the College of Engineering and a Distinguished University Chair Professor in Computer Science and Engineering at the University of Texas at Arlington (UTA). He also directs the Center for Artificial Intelligence and Big Data (CARIDA) and the Database Exploration Laboratory (DBXLAB). Prior to UTA, he held roles at Microsoft Research, Compaq Corporation, and the University of Memphis. He earned a B.Tech from IIT Kanpur and a Ph.D. from the University of Wisconsin-Madison. His research spans computational geometry, graph theory, and modern big data challenges, including database systems, machine learning, and fairness in AI. Notable contributions include keyword search in databases, time series mining, and approximate query processing. He has authored over 200 publications, with awards such as the IEEE Fellow distinction and multiple conference recognitions. Education: PhD, Computer Science, University of Wisconsin-Madison (1990) B.Tech, Computer Science, Indian Institute of Technology Kanpur (1983) Key Roles: General Chair, ACM SIGMOD/PODS 2018 Editorial Board Member, ACM Transactions on Database Systems Dr. Das’s work is funded by NSF, DoD, and industry grants. His recent focus includes fairness in AI systems and explainable data management. He has advised numerous students and contributed to interdisciplinary research in environmental science and healthcare through collaborations.

William Musinskiمشاهده پروفایل

استادیار

• Microstructure-Based Modeling
• Fatigue
• Additive Manufacturing
• +۳ مورد دیگر

William Musinski is an Assistant Professor in the Department of Mechanical Engineering and Materials Science & Engineering at the University of Wisconsin-Milwaukee (UWM), part of the College of Engineering & Applied Science. His expertise lies in the mechanical behavior of materials at the microstructural scale, with a focus on advanced constitutive modeling, additive manufacturing, fatigue, and micromechanics. He utilizes high-energy diffraction microscopy, micro-mechanical testing, and computational methods to bridge experimental observations with predictive models. Dr. Musinski holds a PhD in Mechanical Engineering from Georgia Institute of Technology (2014), an MS from the same institution (2010), and a BS from Western Michigan University (2006). He leads a research group that welcomes students at all levels, emphasizing interdisciplinary approaches to material behavior challenges. His research explores topics such as residual stress formation in additively manufactured metals, fatigue crack initiation, and microstructure-based modeling. Recent work includes studies on IN625 alloy processing, AI-driven materials analysis, and the mechanical response of thin-walled structures. His publications reflect a strong emphasis on experimental validation, computational frameworks, and applications in aerospace and manufacturing sectors. Dr. Musinski has contributed to collaborative initiatives like the AFRL Additive Manufacturing Modeling Series, addressing challenges in material characterization and process optimization. His work bridges fundamental materials science with applied engineering solutions, aiming to enhance the performance and reliability of advanced materials.

Gürkan Sinمشاهده پروفایل

استاد

• Process Design and Optimization
• Process Systems Engineering
• Environmental Engineering
• +۶ مورد دیگر

Gürkan Sin is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). He leads research in process systems engineering, focusing on interdisciplinary challenges in chemical, biotechnology, and pharmaceutical industries. His work integrates process modeling, simulation, optimization under uncertainty, and environmental impact analysis. Key affiliations include the KT Consortium and PROSYS (Process and Systems Engineering Centre). Education: PhD from Ghent University (2004), MSc and BSc from Middle East Technical University (METU, Turkey). Prior to DTU, he was an Assistant Professor there from 2008–2010. Research interests span process design for wastewater treatment, biorefineries, and biopharmaceuticals, with emphasis on sustainability and AI-driven solutions. Notable contributions include global sensitivity analysis, Monte Carlo methods, and virtual sensor technologies for large-scale processes. Advises PhD students in areas like machine learning for molecular design, risk assessment in chemical processes, and sustainable energy systems. Projects often involve collaborations with industry partners for practical implementation. His work contributes to UN Sustainable Development Goals, particularly in clean energy and responsible consumption. Labs/Teams: PROSYS Centre and KT Consortium, where interdisciplinary teams tackle complex industrial challenges through advanced modeling and data analytics.

• Inorganic Chemistry
• Supramolecular Chemistry
• Stereochemistry
• +۷ مورد دیگر

Nathan Kilah is a Senior Lecturer and Associate Head of Learning and Teaching at the School of Natural Sciences, University of Tasmania. He holds a PhD in Chemistry from the Australian National University (2008) and a BSc (1st Class Hons) from the University of Queensland (2003). He has received prestigious fellowships including the Royal Commission for the Exhibition of 1851 Science Research Fellowship at Oxford (2008-2010) and an Alexander von Humboldt Research Fellowship at Marburg (2011-2013). His research focuses on synthetic chemistry, supramolecular assemblies, and anion recognition for environmental and pharmaceutical applications. Education: BSc (Hons 1st Class) - University of Queensland (2003) PhD - Australian National University (2008) Graduate Certificate in University Learning and Teaching - University of Tasmania (2015) His research explores self-assembling molecules for halogen bonding and PFAS detection . He has developed porphyrin-based colorimetric sensors for pollutants, with commercialization potential. His 15 most recent publications span topics in PFAS detection , halogen bond-driven assembly , and natural product chemistry . Grants and Projects include: Australian Research Council Fellowship (2015-2018) Halogen Bonding for Assembly and Separation (2015-2020) University of Tasmania Research Enhancement Grant (2014) Scientific Awards include Royal Commission and Humboldt Fellowships. He supervises doctoral students in projects related to supramolecular PFAS detection , stereoselective catalysis , and halogen-bonding assemblies , and teaches units including Organic and Inorganic Chemistry and Catalysis and Sustainable Processes .

• Solar Energy
• Water Purification
• Desalination
• +۵ مورد دیگر

Haolan Xu is a Research Professor at the Future Industries Institute, University of South Australia, specializing in solar-driven water purification technologies. His work focuses on interfacial solar evaporation systems for desalination and environmental remediation, with over 60 publications demonstrating expertise in advanced materials design. As a Research Degree Supervisor, he mentors graduate students in environmental and materials engineering at the Mawson Lakes Campus. Professor Xu's research spans solar evaporation, photocatalysis, hydrogen production, and nanomaterial engineering. He pioneers innovations in 3D evaporator architectures, zero-liquid discharge systems, and hybrid energy-water solutions. His work integrates materials science with environmental engineering to address global water scarcity through sustainable, solar-powered technologies that minimize energy consumption and maximize freshwater yield. Analysis of his 2024-2025 publications reveals a strategic shift toward multi-functional systems combining desalination with electricity generation, salt management, and atmospheric water harvesting. Key trends include biomimetic designs, MXene-based interfaces, and carbon nanomaterials for enhanced thermal efficiency. This research trajectory positions solar evaporation as a viable solution for both water-stressed regions and industrial wastewater treatment. Based at the Future Industries Institute, Professor Xu operates within UniSA's interdisciplinary research ecosystem focused on renewable energy and sustainable technologies. His laboratory develops scalable evaporator prototypes while investigating fundamental mechanisms of solar-thermal conversion and vapor transport. Current projects emphasize real-world applicability through continuous-operation systems and integration with existing water infrastructure.

James Adlerمشاهده پروفایل

استاد

• Scientific Computing
• Numerical Analysis
• Partial Differential Equations
• +۳ مورد دیگر

James Adler is a Professor in the Department of Mathematics at Tufts University, within the School of Arts and Sciences. He is currently on academic leave. His research focuses on scientific computing and numerical analysis, particularly in developing efficient computational methods for complex fluids, plasma physics, electromagnetism, and multi-scale physical systems. He holds a PhD in Applied Mathematics from the University of Colorado at Boulder (2009), an MS in Applied Mathematics from the same institution (1996), and dual BAs in Mathematics and Physics (with a concentration in Atmospheric Science) from Cornell University (2004). Dr. Adler’s research emphasizes adaptive finite-element discretizations and multigrid solvers for nonlinear PDEs, aiming to preserve physical properties like energy conservation while optimizing computational efficiency. His work spans applications in magnetohydrodynamics, particle transport, and soft materials. He has developed tools like Morpho, a programmable environment for shape optimization and shapeshifting problems, and contributed to preconditioning techniques for Biot’s model and linear elasticity systems. His recent articles highlight advancements in numerical methods, including oscillation-free schemes for Biot’s model, physics-informed models for dynamical systems, and stable mimetic finite-difference methods. These contributions underscore his focus on bridging computational efficiency and physical accuracy across diverse applications. Adler has advised no listed students but actively collaborates on grants and research initiatives in computational mathematics. His lab work involves Morpho and related frameworks, advancing computational tools for engineering and material science challenges.

Vivek Singhمشاهده پروفایل

مدرس

• Artificial Intelligence
• Computer Vision
• Data-efficient Learning
• +۳ مورد دیگر

Dr. Vivek Singh is a Lecturer in Computer Science at the School of Engineering, Computing and Mathematics, University of Plymouth. His research focuses on Artificial Intelligence (AI), Computer Vision, Data-efficient Learning, Multi-modal Learning, Scene Understanding, and Medical Image Analysis. Teaching includes courses such as COMP5013 (Topics in Applied AI), COMP2000 (Software Engineering 2), and WBL203 (Systems Design and Development). Research interests span AI applications in medical imaging, video super-resolution, human-AI interaction, and surgical action detection. He contributed to the SARAS Endoscopic Surgeon Action Detection (ESAD) dataset and explores challenges in AI deployment ethics. His work aligns with UN Sustainable Development Goals (SDGs), though specific goals are not elaborated here. Publications emphasize AI-driven solutions in computer vision, medical datasets, and sensor technologies. Collaborations include work on surgical robotics, antibiotic consumption trends, and genetic disorder case studies. Contact: vivek.singh@plymouth.ac.uk.

Thomas Vogtمشاهده پروفایل

استاد

• Crystallography
• Chemical Synthesis
• Materials Science
• +۴ مورد دیگر

Thomas Vogt is a Distinguished Professor of Chemistry and Biochemistry at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences and adjunct faculty in the Department of Chemical Engineering. He holds the Educational Foundation Distinguished Professorship and has served as Director of the NanoCenter. His research focuses on crystallography, inorganic catalysis, chemical physics, and materials science, with specialties in metal oxide synthesis, neutron/x-ray diffraction, and high-pressure chemistry. Education: Diploma in Chemistry from the University of Tübingen (1985), Ph.D. in Chemistry from the University of Tübingen (1987). Awards include Fellowships from the AAAS, APS, and Neutron Scattering Society of America, along with the Carolina Trustee Professorship. Key research projects include: 1) Pressure-induced gas insertion in zeolites for CO₂ sequestration, 2) Development of novel phosphors for LED lighting, and 3) High-resolution STEM imaging of complex oxides for catalytic site analysis. His work combines experimental techniques (HAADF-STEM, neutron diffraction) with computational modeling to study materials at atomic scales. Lab: GSRC 529 Collaborators: Douglas Blom (USC), Douglas Buttrey (University of Delaware) Publications span over 30 years, with recent emphases on pressure-driven material transformations, oxyfluoride phosphors, and structural analysis of catalytic bronzes. His research impacts fields from energy storage to environmental remediation.

James P. Donahueمشاهده پروفایل

استاد

• Inorganic Chemistry
• Synthesis
• Coordination Chemistry
• +۵ مورد دیگر

James P. Donahue is a Professor in the Department of Chemistry at Tulane University's School of Science & Engineering, where he leads the Donahue Group. His research focuses on synthesis-driven approaches to prepare novel compounds and develop improved methods for accessing important molecular structures. He maintains an active research program with laboratory facilities in Israel Hall 506 and collaborates extensively with researchers worldwide. Education: Ph.D., 1998, Harvard University Professor Donahue's research centers on inorganic synthesis, particularly coordination chemistry involving dithiolene ligands, metal clusters, and redox-active systems. His group investigates the structural, electronic, and catalytic properties of transition metal complexes, with significant focus on molybdenum, tungsten, nickel, and copper systems. Recent work explores hydrogen evolution catalysts, electron transfer processes, and the development of new synthetic methodologies for sulfur-containing compounds. The Donahue Group's recent publications demonstrate a consistent focus on crystallographic characterization of novel inorganic compounds, particularly dithiolene and dithiocarbamate complexes. Their research shows strong emphasis on understanding structure-property relationships in multi-metal systems, redox chemistry, and catalytic applications, particularly for energy-related processes like hydrogen evolution. The group frequently employs X-ray crystallography alongside spectroscopic and electrochemical methods to characterize their compounds. Advising and Research: Professor Donahue has successfully mentored numerous graduate students to completion of their PhD degrees, including recent graduates Che Wu (2024), Justin Barnes (2024), and Gayathri Ragunathan (2024). His research group maintains active collaborations with crystallographers and spectroscopists, particularly with Dr. John Mague and others. The Donahue Group regularly presents research at national meetings and maintains well-equipped synthetic and characterization facilities. The Donahue Group operates specialized laboratories for air-sensitive synthesis, crystallography, and electrochemical measurements. The group has developed expertise in handling dithiolene and dithiocarbamate ligands, metal cluster synthesis, and characterization of redox-active systems. Current research directions include developing molecular models of hydrogen-evolving materials and exploring new synthetic routes to complex sulfur-containing architectures.

Aravinda Karمشاهده پروفایل

استاد

• Laser-Assisted Manufacturing
• Semiconductor Materials Processing
• Laser Beam Shaping
• +۵ مورد دیگر

Aravinda Kar is a Professor at the University of Central Florida (UCF), affiliated with the College of Optics and Photonics (CREOL), Mechanical and Aerospace Engineering (MAE), and Materials Science and Engineering (MSE). He earned his PhD from the University of Illinois at Urbana-Champaign. His research focuses on laser-assisted manufacturing, semiconductor materials processing, laser beam shaping, and thermal/materials science. Key projects include laser-based material synthesis, doping techniques, and advanced manufacturing diagnostics. Education: PhD in Materials Science from the University of Illinois at Urbana-Champaign. Research Interests Laser-Driven Materials Synthesis: Developing novel nanocomposite films and semiconductor devices via CO₂ laser processing. Semiconductor Fabrication: Innovations in laser doping of silicon carbide (SiC) for mid-infrared optoelectronics. Advanced Manufacturing: Laser additive manufacturing, cladding, and process diagnostics for complex parts. Optical Materials: Enhancing transmittance of TiO₂ thin films via laser sintering. Scientific Contributions Recipient of the Arthur L. Schawlow Award (2021) and Fellowships from National Academy of Inventors (2017) and Laser Institute of America (2000). Edited a tribute journal edition on laser additive manufacturing honoring Prof. Jyoti Mazumder (2023). Guided over 15 PhD students, many of whom won awards at international conferences like ICALEO and IMAPS. Advising & Grants Supervised 15 PhD students and multiple postdoctoral researchers. Research funding includes projects on laser processing, photovoltaic materials, and semiconductor fabrication. Collaborates with industry partners on advanced manufacturing solutions. Labs & Teams Director of the Laser-Advanced Manufacturing, Materials and Micro-Processing (LAMMMP) Lab , which focuses on laser-material interactions, process modeling, and nanomaterial synthesis. Active in interdisciplinary teams addressing biomaterials, energy materials, and optoelectronics.

• Fluid Mechanics
• Polymer Processing
• Pharmaceutical Processing
• +۵ مورد دیگر

Tim Gough is a Professor of Fluid Mechanics at the University of Bradford's Faculty of Engineering & Digital Technologies, affiliated with the Department of Mechanical & Energy Systems Engineering. He previously served as Head of his department until 2021 and holds roles as Deputy Director of the IRC in Polymer Engineering and Manager of their Materials Characterisation laboratories. His research focuses on flow effects in polymeric and pharmaceutical materials, utilizing advanced characterization techniques like neutron and x-ray probes. He has a BEng and PhD from the University of Surrey (Fluid Mechanics). Key research areas include polymer processing, pharmaceutical processing, rheology, and materials science, with emphasis on flow-induced crystallization and structure-property relationships. He has secured EPSRC funding for Microscale Polymer Processing projects and maintains strong industry-academia collaborations. His work has led to three patents and over 50 peer-reviewed publications, along with 100+ conference papers. Teaching responsibilities in 2024-2025 include modules such as Advanced Fluid Mechanics, Sustainable Energy, and Design/Build/Test projects. Awards include the 2010 Baroness Lockwood Award for Teaching and 2019 Lecturer of the Year. He has supervised 13 completed PhD/MPhil students and currently guides four PhD researchers in fluid mechanics, hydrogels, and pharmaceutical processing. His lab facilities leverage large-scale international neutron/x-ray facilities in the UK, France, and the U.S. to study soft matter and pharmaceuticals under deformation and crystallization conditions.