جست‌وجوی استاد و پژوهشگر

Yeşim Sağ Açıkelمشاهده پروفایل

استاد

• Environmental Biotechnology
• Wastewater Treatment Engineering
• Bioseparation Engineering
• +۳ مورد دیگر

Prof. Dr. Yeşim Sağ Açıkel is a Professor of Chemical Engineering at Hacettepe University’s Faculty of Engineering. She holds a B.S., M.Sc., and Ph.D. in Chemical Engineering from Hacettepe University (1985–1993). Her research focuses on environmental biotechnology, wastewater treatment, biosorption of heavy metals, and nanocomposite development. She has authored numerous publications and received awards including the Ihsan Dogramaci Excellent Achievement Prize and Hacettepe University Science Award (2013–2014). Her work includes pioneering studies on rhamnolipid biosurfactants for soil remediation and chitosan-based nanomaterials for heavy metal removal. She teaches courses in biotechnology and chemical engineering and has advised over a dozen graduate students. Education: B.S. in Chemical Engineering, Hacettepe University, 1985 M.Sc. in Chemical Engineering, Hacettepe University, 1988 Ph.D. in Chemical Engineering, Hacettepe University, 1993 Research Interests: Her work spans environmental biotechnology, with emphasis on heavy metal remediation via biosorption, bioaccumulation, and nanotechnology. Key areas include: Heavy metal removal from soils/water using biosurfactants Development of chitosan and magnetic nanoparticle-based systems Optimization of microbial processes for lipase production Antibiotic removal from wastewater using nanocomposites Publications: Her articles focus on adsorption mechanisms, biosorption modeling, and nanomaterial applications. Notable themes include rhamnolipid efficacy in soil remediation, chitosan-based systems for dye removal, and synergistic interactions in multi-component adsorption. Awards: Ihsan Dogramaci Prize (1985) Hacettepe University Encouragement Award (1994–1996) Hacettepe University Science Award (2013–2014) Advising & Education: Supervised 14 graduate students (Ph.D. and M.Sc.) and teaches courses in biotechnology, chemical reaction engineering, and biochemical engineering. Her research group includes members like Görkem Polat and Parinaz Raeiatbin, focusing on nanocomposite synthesis and antibiotic removal systems. Labs/Teams: Active in labs developing nanomaterials for environmental applications, particularly magnetic halloysite-chitosan composites for heavy metal and dye adsorption.

• Computational Mechanics
• Multiscale Methods
• Fluid Mechanics
• +۷ مورد دیگر

Arif Masud is the John and Eileen Blumenschein Professor of Mechanics and Computations at the University of Illinois at Urbana-Champaign, holding joint appointments in Civil and Environmental Engineering, Aerospace Engineering, Mechanical Science and Engineering, and Biomedical and Translational Sciences at the Carle-Illinois College of Medicine. His research focuses on computational mechanics, including stabilized and variational multiscale methods, turbulence modeling, biomechanics, and additive manufacturing. He has held academic positions since 1994, including roles as Associate Professor and Professor at UIUC and UIC. Education: PhD in Computational Mechanics (Stanford, 1993), MS in Structural Engineering (Stanford, 1987), BS in Civil Engineering (University of Engineering & Technology, Lahore, 1986). Research Interests: Development of advanced numerical methods for fluid and solid mechanics, biofluid dynamics, and physics-constrained machine learning. Key areas include turbulence closure models, multiphase flows, and multiscale frameworks for coupled chemo-thermo-mechanical problems. His work emphasizes mathematical rigor and scalability for high-performance computing. Professional Contributions: Editorships in journals like International Journal for Multiscale Computational Engineering , leadership roles in societies (SES, EMI, ASME), and organization of major conferences (USNCCM 2021, FEF 2019). Awards include Fellowships from USACM, IACM, ASME, and the 2019 G.I. Taylor Medal. Grants and Labs: Active in federally funded research, leading the Computational Mechanics Lab. His work spans academic-industrial collaborations, with a focus on simulation-based design and multiscale modeling.

Andrew Livingstonمشاهده پروفایل

استاد

• Molecular Separations
• Membrane Science
• Pharmaceutical Manufacturing
• +۵ مورد دیگر

Prof. Andrew Livingston is a Professor of Chemical Engineering and Vice Principal for Research and Innovation at Queen Mary University of London. He leads the LivingstonLab, focusing on molecular separations and membrane technologies for pharmaceuticals and sustainable manufacturing. His research integrates membrane innovation with chemical synthesis, particularly in precision polymers and biopharmaceuticals. Livingston holds prestigious fellowships including the Royal Society and Royal Academy of Engineering. He has pioneered technologies commercialized via Exactmer Limited, addressing challenges in oligonucleotide and peptide manufacturing. Education BEng(Hons) in Chemical Engineering, University of Canterbury, New Zealand MSc in Economics, [Institution Unspecified] PhD in Chemical Engineering, University of Cambridge, UK Research Interests His work centers on membrane-based molecular separations in solvent systems, precision polymer synthesis (e.g., oligonucleotides, PEGs), and sustainable chemical processes . Innovations include the Nanostar Sieving platform for exact polymer manufacturing and OSN membrane technologies. Current projects address carbon footprint reduction in liquid fuels and biopharmaceutical production. Grants & Funding Recent grants include £931k for 'Sustainable Separation Membranes for Green Pharmaceutical Manufacturing' (EPSRC) and a £1.28M ERC Advanced Grant ('Exactymer'). Collaborations span industry partners like AstraZeneca and Evonik Industries. Awards Fellow of the Royal Society (2022) Fellow of Royal Academy of Engineering (2006) Imperial College Research Excellence Medal (2018) Labs & Teams He directs the LivingstonLab at Queen Mary and co-founded Exactmer Limited, a startup commercializing Nanostar Sieving technology for biopolymer production. His team includes 20+ PhD students and postdocs.

Huasheng Wangمشاهده پروفایل

استاد

• Thermal Engineering
• Heat Transfer
• Refrigeration Systems
• +۴ مورد دیگر

Professor Huasheng Wang is a faculty member at Queen Mary University of London's School of Engineering and Materials Science, specializing in thermal engineering and sustainable energy systems. His research focuses on advanced heat transfer mechanisms, microchannel flow dynamics, solar-assisted heating technologies, and energy-efficient refrigeration systems. He has made significant contributions to the modeling and optimization of thermal systems through both computational and experimental approaches. Wang's research interests center on: Heat transfer enhancement in microchannels and condensers Development of solar-assisted heat pumps and thermal storage systems Phase-change phenomena and refrigerant performance Sustainable energy conversion technologies Computational fluid dynamics applied to thermal systems His extensive publication record demonstrates consistent focus on thermal system optimization, with recent work advancing machine learning applications in CFD, biomimetic thermal materials, and ultra-low temperature heating systems. Research trends show increasing integration of renewable energy sources with conventional thermal systems.

Kailai Liمشاهده پروفایل

استادیار

• Robotic Perception
• Sensor Fusion
• State Estimation
• +۲ مورد دیگر

Kailai Li is a tenure-track Assistant Professor at the University of Groningen's Bernoulli Institute, where he leads the Agile Sensing and Intelligence Group (ASIG). His research develops novel methods for robotic perception, including continuous-time state estimation, sensor fusion, and visual navigation. Recent publications focus on Gaussian process representations for motion estimation and multi-robot collaboration using vision-language models. Dr. Li's lab maintains open-source projects like LiLi-OM (LiDAR-inertial odometry) and SFUISE (UWB-inertial fusion). Collaborations include Linköping University and industry partners. Current projects investigate trustworthy perception for autonomous systems under uncertainty and efficient representations for high-dimensional state estimation.

• Optimization Models
• Systems and Control
• Cyber-Socio-Technical Systems
• +۳ مورد دیگر

Mauro R.U. Salazar Villalon is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering and co-affiliated with the Eindhoven AI Systems Institute (EAISI). He obtained his B.Sc. and M.Sc. from ETH Zurich, followed by a Ph.D. from ETH Zurich in collaboration with Ferrari Formula 1. After postdoctoral work at Stanford's Autonomous Systems Lab, he joined TU/e in 2020. Educational Background: B.Sc. & M.Sc. in Mechanical Engineering, ETH Zurich Ph.D. in Mechanical Engineering, ETH Zurich (with Ferrari F1) His research focuses on optimization models for cyber-socio-technical systems, addressing challenges in mobility, pandemics, and material design. He develops methods for sustainable transportation systems, including incentive schemes for user behavior alignment. Recent trends in his publications span hydrogen-based hybrid aero engines, ride-pooling network flows, battery-electric truck infrastructure, and electric vehicle powertrain optimization. His work integrates advanced mathematical modeling with real-world applications. Scientific Awards: ETH Medal (Master & PhD theses) Best Student Paper Awards (2018, 2022) Best Teacher Award (2021) Nominated for TU/e Young Researcher Award (2022) IEEE VPPC 2024 Best Paper Award He contributes to projects like Model Predictive Pandemic Control and National Growth Fund initiatives, while teaching courses on powertrain design, engineering optimization, and optimal control. Collaborations extend to Stanford University and the Ferrari Formula 1 team.

Mircea Lazarمشاهده پروفایل

دانشیار

• Constrained Control
• Model Predictive Control
• Hybrid Systems
• +۴ مورد دیگر

Mircea Lazar is an Associate Professor in the Control Systems group at Eindhoven University of Technology. His research spans constrained control, model predictive control (MPC), and stability analysis of hybrid systems, with applications in power systems, smart grids, and precision mechatronics. Research highlights include: Development of data-driven predictive control methods Stability guarantees for nonlinear and hybrid systems Applications in water networks, power converters, and mechatronics He has received the EECI PhD Award and NWO VENI grant. Recent publications focus on real-time MPC implementations, physics-guided neural networks, and optimization for large-scale systems. Collaborations include ASML, DAF, Philips, and Ford. He chairs the IEEE CSS Technical Committee on Hybrid Systems and has supervised 9 PhD students.

Guoping Huمشاهده پروفایل

پژوهشگر ارشد

• Separation Sciences
• Gas Separation
• Hydrometallurgy
• +۷ مورد دیگر

Guoping Hu is an Adjunct Research Fellow in the Department of Chemical Engineering at the School of Engineering, University of Western Australia. His research focuses on separation sciences and engineering, particularly gas separations using solvent absorption and solid adsorption, as well as hydrometallurgy involving mineral leaching and solvent extraction. He is also interested in the development of novel sorbents, biocatalysts, carbon dioxide utilization, and clean energy systems. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, sustainable cities, and responsible consumption. Guoping holds a Bachelor's degree in Chemical Engineering from Shandong University, a Master's project from the Institute of Process Engineering, Chinese Academy of Sciences, and a PhD in Chemical Engineering from the University of Melbourne (2014–2018), focusing on promoted carbonated solvents for carbon capture. His research interests include gas separation techniques such as pressure swing adsorption and solvent absorption, carbon capture technologies, methane enrichment processes, hydrometallurgical methods for mineral leaching and solvent extraction, and the development of sustainable energy solutions through novel sorbents and biocatalysts. He is particularly interested in bio-inspired approaches and carbon dioxide utilization to advance clean energy systems. 2021 Young Engineer of the Year (WA) Innovation Prize (2019) Best oral presentation award (2019) Production of High Purity Hydrogen from Mixed Pipeline Gases Fellowship (2019) IChemE Global Award for Young Researchers Finalist (2017) Guoping has advised on pilot plant demonstrations of hydrometallurgical processes and methane enrichment technologies. While no formal students are listed, his work involves collaboration on projects such as carbon capture tests and clean energy systems development. He has been a member of the Joint Chemical Engineering Committee (JCEC) in Western Australia and actively participated in conferences like the GWPore Network and the Federation of European Zeolite Associations. He contributes to collaborative networks such as the GWPore Network, focusing on porous materials for energy applications, and engages with the Joint Chemical Engineering Committee (JCEC) in Western Australia to foster interdisciplinary research and industry partnerships.

Eric Mayمشاهده پروفایل

استاد

• LNG Production
• Flow Assurance
• Carbon Capture and Storage (CCS)
• +۶ مورد دیگر

Eric May is a Professor of Chemical Engineering at the University of Western Australia (UWA), holding the Chevron Chair in Gas Process Engineering since 2009. He is also the CEO of the Future Energy Exports Cooperative Research Centre (CRC) and has held roles such as ARC Future Fellow (2018–2022) and Visiting International Professor at Ruhr-Universität Bochum (2015–2018). His research focuses on LNG production, flow assurance, carbon capture, and gas processing, with a strong industry collaboration focus. He co-founded Gas Capture Technologies Pty Ltd in 2017 and secured over $100M in research funding since 2006. Notable achievements include the $78M Future Energy Exports CRC grant (2020) and WA Scientist of the Year (2021). Education: Ph.D. in Oil and Gas Engineering, UWA (2004) BSc (Hons) in Physics, UWA Research Interests: Eric’s work addresses energy sustainability challenges, including LNG production optimization, hydrate management, and CO₂ sequestration. His group develops innovative technologies like methane capture systems and cryogenic fluid property prediction models. Recent projects include hydrogen liquefaction and CCS integration, contributing to UN SDGs like Affordable and Clean Energy (#7) and Industry Innovation (#9). Grants & Awards: $78M Future Energy Exports CRC Grant (2020–2030) ARC ITTC for LNG Futures ($9M, 2015–2020) WA Scientist of the Year (2021) ARC Future Fellowship (2018–2022) Advising & Labs: Supervised 53 research students. Leads the Future Energy Exports CRC and collaborates with industry partners like Chevron, Shell, and Woodside. Active in labs such as the Gas Hydrate Research Group and Australian Centre for LNG Futures .

Dmitry Bagaevمشاهده پروفایل

پژوهشگر

• Bayesian Inference
• Probabilistic Programming
• Reactive Message Passing
• +۲ مورد دیگر

Dmitry Bagaev is a Researcher at Eindhoven University of Technology's Signal Processing Systems department, specializing in Bayesian inference and probabilistic programming. His work develops computational tools like RxInfer.jl and ReactiveMP.jl for scalable probabilistic modeling. Research spans Bayesian inference frameworks, reactive programming architectures, and applications in computational immunology. Recent publications focus on probabilistic programming languages (GraphPPL.jl), multi-agent trajectory planning, and SARS-CoV-2 T-cell receptor databases. Articles demonstrate consistent innovation at the intersection of computational statistics, biological data analysis, and real-time systems engineering. Awards and advising roles are not documented in available records. Research occurs within the BIASLab group, focusing on signal processing systems and probabilistic AI.

• Environmental Toxicology
• Chemical Analysis
• Pharmacology
• +۳ مورد دیگر

Maria Margalef Jornet is an Assistant Professor at the Faculty of Science , specifically in the Department of Chemistry for Environment & Health at Vrije Universiteit Amsterdam . Her research focuses on environmental toxicology, chemical analysis, and public health, with expertise in pharmacology and health risk assessment. Her research interests include studying the effects of chemical mixtures on biological systems, such as the thyroid hormone system and marine organisms like Mytilus edulis . She also explores advanced analytical techniques like high-throughput effect-directed analysis (HT-EDA) and the development of biocompatible membranes for toxin removal. Her recent work emphasizes interdisciplinary approaches to assess complex chemical mixtures' impacts on health and the environment, as seen in projects like PANORAMIX. She teaches courses such as Chemical Toxicology: From Exposure to Health Effects and Human and Environmental Toxicology . Margalef Jornet collaborates internationally on environmental and toxicological research, contributing to peer-reviewed journals and advancing methodologies for toxicity identification and risk assessment.

• Distillation
• Nanofiltration
• Membrane Technology
• +۳ مورد دیگر

Gerrald Bargeman is a Full Professor specializing in fluid separation processes, particularly focusing on distillation, nanofiltration, and membrane technology. His research spans chemical engineering, thermodynamics, and materials science, with a strong emphasis on optimizing separation processes for industrial applications. He has contributed to advancements in reactive distillation, solvent selection algorithms, and membrane design for extreme conditions. His work addresses challenges in desalination, sustainable chemistry, and process intensification. Research interests include thermodynamic modeling of phase equilibria, membrane performance under extreme pH, and solvent engineering for green chemical processes. Collaborative efforts involve developing novel nanofiltration membranes and improving reactive distillation column designs. Publications highlight contributions to membrane stability, solvent selection methodologies, and energy-efficient separation techniques. His research aligns with industrial needs for cost-effective and environmentally sustainable solutions. Notably absent from the profile are awards or formal student advisees. Key collaborations focus on optimizing separation technologies across chemical, food, and water industries.

Ooi Jong Boonمشاهده پروفایل

مدرس ارشد

• Combustion Science
• Internal Combustion Engines
• Biofuels
• +۶ مورد دیگر

Ir. Dr. Ooi Jong Boon is a Senior Lecturer at the School of Engineering, Monash University Malaysia, with prior roles as Assistant Professor at Universiti Tunku Abdul Rahman (2017–2021) and Lecturer at Tunku Abdul Rahman University College (2011–2013). He holds a Ph.D. (Monash University Malaysia, 2017), M.Eng. (UTAR, 2013), and B.Eng. (UTAR, 2009). His research focuses on combustion science, internal combustion engines, biofuels, and nanotechnology. He has published over 30 papers in high-impact journals and serves on editorial boards for Scientific Reports , Discover Energy , and Energy Research Journal . He teaches courses in thermodynamics, fluid mechanics, and advanced fluid dynamics. Current projects include graphene-enhanced electronics cooling and low-carbon fuel combustion studies. Research interests span advanced combustion technologies, low-carbon fuels, and emission reduction strategies. Notable projects include optimizing diesel-biodiesel blends and investigating hydrogen fuels. Collaborations involve institutions globally, emphasizing sustainable energy solutions. He actively engages in academic activities, including editorial reviews, conference presentations, and outreach programs like the Mini Engine Workshop at Chung Ling Butterworth High School. His research contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Recent work includes thermodynamic assessments of methane liquefaction systems and eco-friendly geothermal-driven energy applications. Grants support projects like graphene-coated microchannel cooling and ammonia-biogas combustion analysis.

• Applied Thermodynamics
• Phase Transformations
• Structural Materials
• +۴ مورد دیگر

Alisson Kwiatkowski da Silva is a Researcher in the Department of Microstructure Physics and Alloy Design at the Max Planck Society. Their work focuses on applied thermodynamics, phase transformations, and structural materials with an emphasis on advanced steel alloys and atom probe tomography. Key research themes include sustainable materials processing, microstructural evolution in high-performance alloys, and the interplay between atomic-scale chemistry and mechanical properties. Research interests span atom probe tomography applications, spinodal decomposition mechanisms, and the design of steels for decarbonization. They investigate phenomena such as interface engineering in iron oxides, anomalous magnetization in martensitic phases, and the role of segregation in phase nucleation. Their work bridges computational modeling (e.g., CALPHAD-based approaches) with experimental characterization to advance materials for energy-efficient manufacturing and additive manufacturing processes. Recent publications highlight contributions to medium-Mn steels, high-entropy alloys, and the development of AI-driven tools like PDGPT for phase diagram analysis. Their work addresses global challenges in sustainable metallurgy, including circular steel economies and reducing carbon footprints through optimized alloy design. Alisson has collaborated on projects involving atom probe tomography-assisted kinetic analysis, grain boundary engineering in superalloys, and the thermodynamics of scrap-based metallurgical processes. Their research frequently integrates multi-scale characterization techniques with advanced computational simulations to uncover fundamental mechanisms governing material behavior.

Amit Bhasinمشاهده پروفایل

استاد

• Infrastructure Materials Engineering
• Transportation Engineering
• Asphalt Mixtures Performance
• +۳ مورد دیگر

Dr. Amit Bhasin is a Professor and Director of the Center for Transportation Research at the University of Texas at Austin, holding the Adnan Abou-Ayyash Centennial Professorship in Transportation Engineering. He leads research on infrastructure materials and transportation systems, with expertise in asphalt mixture performance modeling and sustainable pavement technologies. His research develops fundamental models linking material properties to asphalt performance, evaluates additives for energy-efficient mixtures, and characterizes binder-aggregate interactions. Current projects investigate fatigue cracking mechanisms and moisture sensitivity in transportation infrastructure.