جستجوی استاد راهنمای دانشگاهی

Professor Ding Jun is a faculty member in the Department of Materials Science and Engineering at the National University of Singapore's College of Engineering. His research spans additive manufacturing and nanomaterials with applications in energy, environment, and healthcare. Contact details include office location E2-03-17 and phone 65164317. His primary research interests include: Additive Manufacturing for multi-material and multi-functional devices Nanomaterials fabrication for energy harvesting/storage, water purification, and sensor development 3D printing of metals, ceramics, and graphene-based structures Analysis of his 10 most recent publications reveals strong focus on practical applications of 3D printing across energy storage (Li-O 2 batteries, water splitting), environmental remediation (air filters, water purification), and advanced manufacturing techniques (robocasting, metallization). Key technological themes include hierarchical porous structures, multi-material integration, and performance optimization at high current densities. No scientific awards were mentioned in the source material. Professor Ding teaches core materials engineering courses including MLE3203 Engineering Materials, MLE3111 Materials Properties & Processing Laboratory, MLE4212 Advanced Structural Materials, and MLE5301 Advanced Metallic and Ceramic Materials in Additive Manufacturing. No information on research grants or student supervision was provided. His work demonstrates strong integration between novel 3D printing methodologies and real-world environmental/energy applications, with particular emphasis on creating functional architectures for electrochemical systems and pollution control.

• Additive Manufacturing
• Nanomaterials
• Energy Applications
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Qing Wang is a Professor in the Department of Materials Science and Engineering at the National University of Singapore (NUS). He earned his PhD in Physics from the Institute of Physics, Chinese Academy of Sciences, in 2002, and held postdoctoral positions at École Polytechnique Fédérale de Lausanne (EPFL) and the National Renewable Energy Laboratory (NREL). His research explores charge transport in mesoscopic electrochemical systems, with a focus on redox-targeting reactions for advanced energy conversion and storage technologies. His team develops novel redox flow X-batteries targeting large-scale energy storage, along with applications in on-demand hydrogen production, metal-air power generation, battery recycling, and chemical synthesis. Recent work includes innovations in aqueous redox flow batteries and integrated power-cooling systems for electronics. 2014: NUS Engineering Young Researcher Award 2018: NRF Investigatorship 2021: NUS Dean’s Chair Associate Professor Publications demonstrate expertise in Zn-based flow batteries , Fe-Air fuel cells , and redox-mediated recycling , with a consistent emphasis on sustainable technologies. The lab actively collaborates on translational studies to bridge fundamental research with practical deployment.

• Charge Transport in Mesoscopic Electrochemical Systems
• Advanced Energy Conversion and Storage
• Redox Targeting Reactions
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Martin Henz is an Associate Professor at the National University of Singapore , affiliated with the School of Computing and its Department of Computer Science . His academic journey includes an M.Sc. in Computer Science from Stony Brook University (1993) and a Dr.rer.nat. in Computer Science from Saarland University (1997). He has also worked as a Research Scientist at the German Research Centre for Artificial Intelligence. Research Focus : Scalable Experiential Learning, Systems for Teaching/Learning, AI in Education, Programming Languages, Algorithms, and Constraint Programming. Key Projects : Source Academy (immersive programming environment), Deep Teaching (LMS enhancements), and NUS Seafarers (maritime experiential learning). Publications span education technology, programming languages, and sustainable engineering, with recent works focusing on JavaScript-based pedagogy, automated question generation, and electric vehicle conversions. He supervised Rahul Singhal 's PhD, leading to the educational startup Cerebry, and co-founded Workforce Optimizer Pte Ltd with Alan Sevugan. Awards : NUS Annual Digital Education Award (2021) NUS Annual Teaching Excellence Award (2016/17) Fulbright Scholarship (1990) Startup @ Singapore Champion (2001)

• Programming Languages
• Software Engineering
• Artificial Intelligence
• +۸ مورد دیگر

Anna Alberini is a Professor in the Department of Agricultural and Resource Economics at the University of Maryland’s College of Agriculture and Natural Resources. She specializes in Environmental Economics, Energy Economics, and Econometrics. Her research focuses on residential energy demand, energy efficiency policies, vehicle fuel economy, and the economics of health and safety. She holds a Ph.D. in Economics from the University of California San Diego (1992), an M.A. from the same institution (1989), and a B.A. from the University of Venice (1987). Alberini teaches PhD-level econometrics and an undergraduate course on climate change economics. She supervises graduate and undergraduate research projects, emphasizing empirical analysis of energy policies and consumer behavior. Her work explores how policies like carbon taxes, registration taxes, and subsidies influence energy consumption, vehicle choices, and environmental outcomes. Recent studies include analyses of EV adoption in Washington, D.C., the effects of Georgian energy assistance programs, and CO2 emission pricing in Australia. She serves on editorial boards for Energy Economics , The Energy Journal , and Energy Policy , and has advised the U.S. EPA and Energy Information Administration. Her research highlights behavioral responses to energy prices, free-riding in incentive programs, and the valuation of health risks from chemical exposure. Key themes include policy effectiveness, equity, and cross-national comparisons of energy market dynamics.

• Environmental Economics
• Energy Economics
• Econometrics
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Dr. Zhen Peng is a Research Fellow at Curtin University's School of Civil and Mechanical Engineering, part of the Faculty of Science and Engineering. He holds an ARC Early Career Industry Fellowship (2025–2028), focusing on developing cost-effective bridge monitoring systems using computer vision and edge computing in collaboration with Main Roads WA. His work bridges structural engineering, IoT/edge computing, and machine learning to enhance infrastructure safety. Dr. Peng earned his PhD from Curtin University (Chancellor's Commendation, 2022). His research emphasizes structural dynamics, nonlinear damage detection, and mobile crowdsensing frameworks for infrastructure monitoring. He has published extensively in top journals like Engineering Structures and Structural Control and Health Monitoring , receiving notable awards such as the 2023 Best Paper Award and a Gold Medal in the China Postdoctoral Innovation Competition. His current projects include deploying IoT-driven systems for real-time bridge condition assessment and training students via available 2025 PhD scholarships. Dr. Peng teaches courses in civil engineering and structural analysis, contributing to both academia and industry through innovation in smart infrastructure technologies.

• Structural Health Monitoring
• Civil Engineering
• IoT/Edge Computing
• +۵ مورد دیگر

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
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Philip Cardiff is a Professor in Computational Mechanics at the School of Mechanical and Materials Engineering, University College Dublin. He holds a BE (2008) and PhD (2012) in Mechanical Engineering from UCD. His research focuses on computational mechanics, machine learning, and their integration, with expertise in finite volume methods, fluid-solid interaction, and biomechanics. He leads the Bekaert University Technology Centre and contributes to editorial roles in the Journal of Open Source Software and OpenFOAM Journal . Cardiff has secured grants from ERC, I-Form, and the UCD Energy Institute, addressing challenges in offshore energy, advanced manufacturing, and cardiac xenotransplantation. Education: BE in Mechanical Engineering, University College Dublin (2008) PhD in Development of the Finite Volume Method for Hip Joint Analysis, University College Dublin (2012) Professional Diploma in University Teaching & Learning, University College Dublin Research Interests: Computational mechanics, finite volume methods, and machine learning integration Fluid-solid interaction, biomechanics, and materials science Applications in additive manufacturing, energy systems, and biomedical engineering Grants & Awards: ERC Consolidator Grant (2020–2025) Funded Investigator in I-Form and UCD Energy Institute Principal Investigator in UCD Centre for Biomedical Engineering Teaching & Leadership: Programme Director for MEngSc in Materials Science and Engineering (2018–2023) Coordinates modules in computational mechanics and advanced materials processing Advocates constructivist teaching approaches with active learning strategies Labs & Collaborations: UCD Centre for Mechanics Bekaert University Technology Centre MaREI and I-Form Research Centres

• Computational Mechanics
• Machine Learning
• Finite Volume Method
• +۷ مورد دیگر

Rod Beresford is a Professor of Engineering at Brown University's School of Engineering, where he has held several leadership positions including Senior Associate Dean for Academic Programs and Associate Provost for Academic Space. He earned his B.S. (1979) and M.S. (1981) in electrical engineering from Yale University and his Ph.D. (1990) from Columbia University. In 2020/21, he served as an IEEE/AAAS Congressional Fellow working on the Senate Energy and Natural Resources Committee. His research focuses on semiconductor nanostructures, including synthesis, modeling, integration with microelectronics, and applications, with a particular emphasis on molecular beam epitaxy. Beresford has published over 80 scientific papers and has worked on molecular beam epitaxial growth of III-V semiconductors since 1987. His current research emphasizes engineering innovations for decarbonization and electrification of the economy. Professor Beresford's scholarly work spans semiconductor materials and devices, quantum structures, nanomaterials, microfluidics, and biosensing. His recent publications demonstrate a strong focus on quantum dot arrays, nanowire electrical properties, and biosensing applications. The research shows evolution from fundamental semiconductor physics toward practical applications in sensing and energy technologies. His honors and awards include: Tau Beta Pi (1978) Sheffield Fellowship (Yale University, 1980–81) Office of Naval Research Fellowship (Columbia University, 1987–90) Sigma Xi (1991) BBV Foundation Chair (Visiting Professor, Polytechnic University of Madrid, 1996) Institute of Electrical and Electronics Engineers, Senior Member (2002) Professor Beresford has been instrumental in Brown's academic infrastructure development, including facilitating the successful development of the Engineering Research Center, an 80,000-sf lab building completed in October 2017. He has served as Academic Director for the Master of Science in Technology Leadership program and has introduced new courses in VLSI Design and Nanoelectronics. His research has been supported by significant grants including: Nanoelectronics Research Initiative / National Science Foundation: "Direct-Write Synthesis of Graphene Devices" (PI, $400,000) National Science Foundation Materials Research Science and Engineering Center: "Micro- and Nano-Mechanics of Electronic and Structural Materials" (co-PI, $9,360,000) Air Force Office of Scientific Research Multidisciplinary University Research Initiative: "Direct Nanoscale Conversion of Biomolecular Signals into Electronic Information" (co-PI, $5,609,969) Professor Beresford leads a research group focused on semiconductor nanostructures and collaborates extensively with colleagues including Jingming Xu, Eric Chason, Brian Sheldon, Alexander Zaslavsky, and David Paine. His laboratory includes molecular-beam epitaxy systems for advanced materials research.

• semiconductor materials and devices
• molecular beam epitaxy
• quantum structures
• +۵ مورد دیگر

Joseph Akunna is a Professor in Water and Environmental Engineering at Abertay University's Department of Built Environment and Life Sciences. He holds advanced qualifications including a PhD in Environmental Engineering, Chartered Engineer (CEng) status, and Fellowship of the Higher Education Academy (FHEA). He directs the Postgraduate Environment Education programs and the Urban Water Technology Centre. His research focuses on microbial processes for pollutant control, wastewater treatment innovation, anaerobic digestion, and sustainable waste management. Key areas include decentralized wastewater systems, landfill decay modeling, and environmental engineering solutions for developing countries. He has supervised over 20 PhD/postdoctoral projects and led numerous funded initiatives, including projects with the Scottish Government, SEPA, and industry partners like Diageo PLC. He serves as an external examiner for multiple UK universities, reviews for scientific journals, and advises international bodies such as the European Commission and the World Bank-funded Centre of Excellence in Togo. His expertise spans UN Sustainable Development Goals related to clean water, affordable energy, and sustainable cities. Key achievements include developing the GRABBR anaerobic wastewater treatment system, advancing anaerobic digestion of organic residues, and contributing to the Dundee Riverside Landfill transformation into a nature park. He has authored/co-authored over 70 publications and delivered international training programs in water and waste management.

• Environmental Engineering
• Water and Wastewater Treatment
• Anaerobic Digestion
• +۶ مورد دیگر

Jens Honore Walther is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on fluid mechanics, coastal and maritime engineering, and computational fluid dynamics (CFD). He leads projects on wave energy converters, multiphase flow systems, and thermal energy applications. His work contributes to sustainable development goals related to clean energy and climate action. External Roles: Research associate at ETH Zurich (2003–present) Postdoctoral fellow at ETH Zurich (2000–2003) Project manager at Danish Maritime Institute (1996–1997) Research scientist at Danish Meteorological Institute (1994–1996) Research Interests: Walther’s expertise spans CFD modeling, granular flow dynamics, and nanofluidics. His recent projects include optimizing wave energy converters, analyzing gap resonances in marine structures, and developing multiphase ejector geometries for heat pumps. His work integrates high-performance computing and experimental validation to address challenges in marine engineering and energy systems. Advising & Projects: He supervises PhD students in areas such as elite sport aerodynamics, gas lubrication, and alternative fuel combustion. Notable projects include: Elite sport aerodynamics (2024–2026) Alternative fuel injection in marine engines (2023–2026) Multi-physical gas bearing modeling (2024–2027) Labs & Collaborations: Walther collaborates with institutions like ETH Zurich and engages in experimental facilities at DTU. His group focuses on advanced CFD simulations and fluid-structure interaction studies.

• Fluid Mechanics
• Coastal and Maritime Engineering
• Computational Fluid Dynamics
• +۹ مورد دیگر

Vitor Sencadas is an Associate Professor at the Department of Materials and Ceramic Engineering, University of Aveiro, Portugal. His research focuses on advanced materials for biomedical, energy, and environmental applications, with a strong emphasis on nanotechnology and additive manufacturing. He leads projects such as 3S4Leather, addressing leather waste valorization and sensorized additive manufacturing solutions. He has supervised multiple PhD students and contributed to over 150 publications in journals like Advanced Functional Materials and ACS Applied Materials & Interfaces. His research interests include biomimetic materials, flexible electronics, wearable sensors, and sustainable materials. Notable achievements include developing piezoelectric and luminescent solar concentrators, and contributions to Stanford’s 2022/2024 World Top 2% Scientists list. His work bridges materials science with practical applications in healthcare, energy harvesting, and environmental biorefinery processes. He collaborates extensively with CICECO – Aveiro Institute of Materials, contributing to interdisciplinary research and innovation in smart materials and biomedical devices. His group explores multifunctional materials for healthcare monitoring, energy systems, and sustainable manufacturing.

• Materials Science
• Biomedical Engineering
• Nanotechnology
• +۳ مورد دیگر

Sinan Yıldırım is a Researcher in the Faculty of Engineering and Natural Sciences at Sabancı University, Turkey. His primary research focuses on Bayesian Statistics, Monte Carlo methods, and data privacy, with interdisciplinary applications in machine learning and signal processing. He holds a BSc and MSc in Electrical and Electronics Engineering from Boğaziçi University, followed by a PhD in Mathematical Statistics from the University of Cambridge. Postdoctoral research (2013-2015) at the University of Bristol’s School of Mathematics involved the EPSRC-funded project 'Intractable Likelihood: New Challenges from Modern Applications (i-like).' His work bridges theoretical statistics with practical problems in privacy, control systems, and energy optimization. Research interests emphasize Bayesian methodologies for privacy-preserving data analysis, dynamic modeling of complex systems, and stochastic optimization algorithms. Recent publications explore differential privacy in machine learning, Monte Carlo techniques for high-dimensional inference, and applications of Bayesian methods in robotics and energy systems. Advising and grants include contributions to multi-party resource sharing frameworks and privacy-aware algorithms. His work integrates computational methods with real-world challenges in engineering and policy modeling.

• Bayesian Statistics
• Monte Carlo Methods
• Data Privacy
• +۳ مورد دیگر

Marianne Nyman is an Associate Professor in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI), affiliated with the School of Engineering and the Center for Biotechnology and Interdisciplinary Studies (CBIS). Her research focuses on environmental engineering, water quality, biochemical processes, and biomaterials, with a strong emphasis on remediation technologies for organic pollutants, including polycyclic aromatic hydrocarbons (PAHs), endocrine disruptors, and aromatic amines. She has pioneered studies on peroxy-acid treatment for contaminant degradation and explores applications in bioremediation and energy production. Her work spans laboratory-scale innovations to field-scale environmental solutions, addressing challenges in water treatment, sediment remediation, and agricultural systems. Notable contributions include optimizing LED wavelengths for plant growth optimization and investigating CO 2 enrichment effects on leafy greens. Nyman’s research integrates chemical engineering principles with ecological and agricultural systems, reflecting her interdisciplinary approach to solving complex environmental problems. Her publications highlight advancements in advanced oxidation processes, sorption dynamics, and predictive modeling of contaminant behavior. While no specific awards are listed, her sustained contributions to environmental engineering are evident through her prolific and impactful research output. Her lab collaborates with CBIS to bridge biotechnology and environmental science, addressing emerging contaminants and sustainable remediation strategies.

• Environmental Engineering
• Water Quality
• Biochemical Engineering
• +۴ مورد دیگر

M. Tariq Iqbal is a Professor in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds a B.Sc. from UET Lahore, M.Sc. from QAU Islamabad, and PhD from Imperial College London. His research develops renewable energy solutions including hybrid power systems, solar applications, and IoT-based monitoring. Projects focus on off-grid communities, industrial applications, and energy-efficient electronics. Specific interests include microgrid design, solar water pumping, and power consumption analysis. Recent publications emphasize techno-economic modeling of microgrids, IoT-enabled SCADA systems, and energy efficiency in computing. Work demonstrates increasing focus on practical implementations in remote locations. No scientific awards are documented. Iqbal advises graduate students on projects across 20+ countries. Current research includes solar-powered oil pumps, electric vehicle charging, and community microgrids. He directs multiple projects through the faculty's engineering design initiative.

• Hybrid Power Systems
• Renewable Energy Systems
• Consumer Electronics
• +۱ مورد دیگر

Bret Windom is Associate Professor of Mechanical Engineering at Colorado State University's Walter Scott, Jr. College of Engineering, specializing in combustion science and alternative fuels. He directs research on physiochemical fuel characterization, laser diagnostics, and energy conversion systems. Research investigates combustion dynamics of sustainable fuels, propulsion systems, and emission reduction strategies. Recent projects include oxymethylene ethers as low-sooting biofuels, hydrogen production systems, and hybrid SOFC-engine power generation. Funded by DOE, ONR, and Caterpillar, his work advances low-carbon energy technologies. Recipient of the SAE Teetor Educator Award (2018) and multiple research fellowships. Leads the Chemical Energy Conversion Laboratory, mentoring graduate students in combustion research. Current industrial collaborations focus on marine engine decarbonization and lubricant ignition behavior. Recent Publications demonstrate strong focus on sustainable fuels (hydrogen, LPG, OMEs), advanced diagnostics (laser spectroscopy, NMR), and energy system integration (SOFC hybrids, scramjets). Article keywords frequently include combustion optimization, emissions reduction, and alternative fuel characterization.

• Alternative Fuels
• Combustion Dynamics
• Laser Diagnostics
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