جستجوی استاد راهنمای دانشگاهی

Matthew R. Jonesمشاهده پروفایل

دانشیار

• Nanoparticle Assembly
• Plasmonics
• Metamaterials
• +۵ مورد دیگر

Matthew R. Jones is an Associate Professor in the Department of Chemistry at Rice University and holds the Gene and Norman Hackerman Junior Chair and Norman Hackerman-Welch Young Investigator titles. He joined Rice in 2017 after postdoctoral research at UC Berkeley under Paul Alivisatos and a PhD at Northwestern University under Chad Mirkin. His research focuses on systems-level nanoparticle assembly, plasmonics, and metamaterials, with applications in energy storage and biomedicine. Jones has pioneered techniques like 4D-STEM for catalytic nanoparticles and developed adaptive materials via strain-controlled synthesis. Education: B.S. in Materials Science and Biomedical Engineering (Carnegie Mellon University), Ph.D. in Chemistry (Northwestern University as an NSF Fellow). Key awards include the Packard Fellowship (2018) and NSF CAREER Award (2022). His lab hosts over 20 graduate students and postdocs, with notable advisees including Bukky, Zhihua Cheng, and Saxton. Research emphasizes interdisciplinary approaches: combining in-situ microscopy, ligand engineering, and computational modeling to control nanoparticle behavior. Recent studies include strain-preserved nanocatalysts (2024) and chiral superlattices (2024). Collaborations span Rice’s Center for Nanoscale Imaging Sciences and the Electrochemical Society. Lab: Jones Research Group Grants: NSF CAREER, Packard Fellowship, Rice Seed Award Publications: Over 50 peer-reviewed articles, including Science Advances (2024) and Nature Communications (2023)

Kalyan R. Piratlaمشاهده پروفایل

استاد

• Underground Construction
• Construction Planning and Management
• Sustainable and Resilient Infrastructure Systems
• +۷ مورد دیگر

Dr. Kalyan R. Piratla is a Professor in the Department of Civil Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. His research focuses on underground construction, infrastructure resilience, and sustainable water systems. He leads the Center for Research in Underground Infrastructure Systems Engineering (CRUISE), which develops decision-making models to enhance the sustainability and resilience of underground infrastructure systems. Ph.D. in Construction Management, Arizona State University (2012) Masters in Civil Engineering, Indian Institute of Technology Madras (2008) Bachelors in Civil Engineering, Indian Institute of Technology Madras (2007) Dr. Piratla's research integrates interdisciplinary approaches across water supply systems , power systems engineering , wireless sensing technologies , and graph theory . His work emphasizes: Seismic resilience metrics for pipeline systems Decentralized water reuse planning Vibration-based infrastructure monitoring Interdependencies among lifeline infrastructures Transportation project delivery optimization Research trends include: Application of machine learning to pipeline leakage detection Advanced seismic vulnerability assessment Life cycle cost analysis of water reuse systems Integration of geotechnical and structural monitoring Scientific Awards S.E. Liles, Jr. Distinguished Professor Dr. Piratla actively supervises graduate research and offers assistantships for PhD students. His work benefits water utilities, construction contractors, and emergency response agencies through innovative monitoring techniques and resilience enhancement frameworks . His CRUISE research group explores: Interdependencies among critical infrastructure systems Transportation project delivery efficiency Collaborations spanning power systems and wireless sensing

• Mining Engineering
• Raw Materials Processing
• Underground Mining
• +۷ مورد دیگر

Prof. Dr.-Ing. Elisabeth Clausen is a Professor and Director of the Chair and Institute for Advanced Mining Technologies at RWTH Aachen University. She holds key roles in the Specialist Group for Raw Materials and Disposal Technology, serves as a rectorate representative, and leads the Commission for EU Research Funding. Her research spans Underground mining automation Acoustic emission diagnostics Sustainable mining systems Space resource extraction Advanced sensor technologies Her recent publications focus on autonomous mining machinery, underground communication systems, and acoustic emission analysis across 15+ studies from 2013–2025, with particular emphasis on Ultra-wideband positioning Thermographic detection Crack monitoring in planetary gearboxes Explosive atmosphere safety Mineral processing diagnostics Digitalization trends Prof. Clausen contributes to mining education reform through initiatives like CDIO™ and has developed innovative learning spaces in underground mines. She coordinates international educational labs and integrates sustainability into mining engineering curricula, with publications on Adaptive ventilation systems Mining education frameworks Future-proof mineral extraction Entrepreneurial mindset in engineering

Crystal Noelمشاهده پروفایل

استادیار

• Quantum Computing
• Trapped Ions
• Integrated Photonics
• +۴ مورد دیگر

Crystal Noel is an Assistant Professor at Duke University in the Pratt School of Engineering and Trinity College of Arts & Sciences , with appointments in both the Department of Electrical and Computer Engineering and Physics since 2022. She is also a Member of the Duke Quantum Center since 2024. Ph.D. in Electrical and Computer Engineering from University of California, Berkeley (2019) B.S. in Massachusetts Institute of Technology (2013) Her research focuses on quantum computing and simulation with trapped ions , integrated photonics for scalable trapped ion systems , and electric-field noise from surfaces . Recent work includes developing non-invasive mid-circuit measurement techniques, sympathetic cooling for ion chains, and cross-platform quantum state comparison. She has secured significant grants from National Science Foundation , Rochester Institute of Technology , and Defense Advanced Research Projects Agency for quantum co-design and networking projects. Her lab ( Noel Lab ) explores scalable quantum computing architectures and surface noise mitigation. She teaches courses ranging from foundational Fields and Waves: Fundamentals of Information Propagation to advanced topics in Quantum Engineering with Atoms and Advanced Topics in Electrical and Computer Engineering .

Liu Liliمشاهده پروفایل

مدرس

• Machine Learning
• Computer Vision
• Multi-modal Learning
• +۷ مورد دیگر

Liu Lili is a Lecturer (Educator Track) in the Department of Computer Science at the School of Computing, National University of Singapore. She holds a Ph.D. from Nanyang Technological University and a Master's in Computer Science from Shanghai University. Prior to NUS, she served as a Senior Research Scientist at Singapore Polytechnic and a Scientist at A*STAR's Institute of High-Performance Computing. Her research focuses on Machine Learning, Computer Vision, and Multi-modal Learning, with applications in FinTech, Social Media Analysis, and Algorithms & Theory. Notable projects include AI-driven coating inspection systems for marine assets and behavioral competency assessment tools for navigational safety. She has contributed to robotics for construction quality assessment and interactive virtual environments for rehabilitation. Liu's publications span AI applications in finance, robotics, and material science, reflecting her expertise in bridging theoretical computer science with practical industrial solutions. Her work emphasizes automation, anomaly detection, and multi-modal data integration.

• Graphene
• 2D Materials
• Electrochemical Energy Storage
• +۲ مورد دیگر

Dr. Mark Bissett is Reader in Nanomaterials at the University of Manchester's Department of Materials Engineering. He holds a PhD in Nanotechnology from Flinders University and was Research Assistant Professor at Kyushu University before joining Manchester. He directs the Advanced Nanomaterials Group focusing on 2D material applications. His research integrates graphene, carbon nanotubes, and transition metal dichalcogenides into electrochemical energy storage devices and polymer nanocomposites. Key areas include: Supercapacitor and battery electrode design Tribological coatings for industrial applications Multifunctional structural composites Publications span electrodeposition techniques, composite reinforcement strategies, and nanomaterial synthesis. Recent work shows strong emphasis on graphene-enhanced composites, MXene applications, and energy storage innovations. He teaches nanotechnology and composites courses, and leads the Nanotechnology unit coordination. Industrial collaborations include his role as CSO at MOLYMEM Limited. Laboratory facilities at the National Graphene Institute support his group's experimental work.

Peter Brummundمشاهده پروفایل

دانشیار

• Labor Economics
• Development Economics
• Incomplete Labor Markets
• +۹ مورد دیگر

Peter Brummund is an Associate Professor of Economics at the University of Alabama, holding a position in the Department of Economics, Finance, and Legal Studies within the Culverhouse College of Business. He is also an IZA Research Fellow since December 2023, having previously served as a Research Affiliate since October 2018. In 2021, he was a Visiting Professor at WU Wien (Vienna University of Economics and Business). Education: PhD in Economics from Cornell University (2012) MA in Economics from Cornell University (2010) MSc in Development Studies from the London School of Economics (2006) BS in Computer Science from Taylor University (1999) Peter Brummund's research focuses on labor and development economics, with particular emphasis on how labor markets can enable people to work their way out of poverty. His work examines incomplete labor markets, job creation and destruction, job quality, job stability, minimum wages, monopsony, occupational segregation, program and policy evaluation, trade and labor, and the wage-productivity gap. He utilizes high-resolution datasets from numerous countries including Brazil, Ethiopia, Indonesia, Malawi, Uganda, United States, and Tanzania. His recent publications reveal a strong focus on labor market dynamics in developing countries, with particular attention to agricultural labor markets in Africa, occupational segregation trends in the United States, and the impacts of minimum wage policies. His methodological approach combines rigorous econometric analysis with detailed institutional knowledge of the labor markets he studies. Scientific Awards: Ernst Liu Family Economics Outstanding Teaching Award, Cornell, 2008 IZA Research Fellow (since December 2023) Professor Brummund has advised numerous PhD students, including Laura Connolly (2018, now at Michigan Tech) and Chris Oconnor (2021, now at Holy Cross), and currently advises Klara Kinnl and Melanie Gräser at WU Wien. His undergraduate mentoring has led to placements at prestigious institutions like Stanford's Institute for Economic Policy Research and recognition through the Randall Research Scholars Program and University of Alabama Undergraduate Research Awards. He teaches courses in Labor Economics, Development Economics, Policy Evaluation Methods, and Microeconomics at both undergraduate and graduate levels.

• Particle interactions
• Kinetic theory of aggregation
• Nanotechnology
• +۵ مورد دیگر

Lande Liu is a Senior Lecturer in Chemical Engineering at the University of Huddersfield's School of Applied Sciences. Previously, he held a Lectureship at the University of Manchester (2010-2014), and earlier worked as an industrial consultant and research fellow at Leeds and Sheffield Universities. His academic journey began with a MEng in Chemical Engineering and a PhD in kinetic theory of aggregation from Sheffield (2004), preceded by a visiting PhD at Twente University (2002). Education: PhD in Chemical Engineering (University of Sheffield, 2004) Visiting PhD (Twente University, 2002) MEng in Chemical Engineering (Tsinghua University, 1999) BSc in Applied Mathematics (Tsinghua University, 1996) Liu's research focuses on multi-scale particle interactions (molecular to granular) using kinetic theory of aggregation, with applications spanning nanotechnology, pharmaceutical engineering, and sustainable chemical processes. His work aligns with UN Sustainable Development Goals for environmental protection and industrial innovation. Recent publications examine particle deposition in turbulent flows, enhanced heat exchanger designs, and nanofluid stabilization techniques. He teaches core chemical engineering topics including transport phenomena, unit operations, and process design. Active in collaborative research, Liu has partnered with institutions across Europe on projects involving spectroscopy, ultrasonics, and dynamic modeling. His technical expertise includes particle size analysis, tomography, and computational simulation of complex systems.

Kamal H. Khayatمشاهده پروفایل

استاد

• High-Performance Concrete
• Ultra-High-Performance Concrete (UHPC)
• Self-Consolidating Concrete (SCC)
• +۶ مورد دیگر

Kamal H. Khayat serves as the Jones Professor of Civil Engineering at Missouri University of Science and Technology and directs the Center for Infrastructure Engineering Studies (CIES), focusing on advancing concrete technology for sustainable infrastructure development. His research spans high-performance concrete (HPC), ultra-high-performance concrete (UHPC), self-consolidating concrete (SCC), and concrete rheology, with specialized expertise in 3D printing applications, fiber reinforcement systems, and shrinkage mitigation techniques. He investigates innovative materials like superabsorbent polymers and alternative binders to enhance durability and sustainability in concrete infrastructure. Analysis of his recent publications reveals dominant trends in digital fabrication of concrete, particularly 3D printing optimization and rheological modeling for structural build-up. His work increasingly integrates machine learning for material property prediction while emphasizing eco-friendly formulations using recycled aggregates and carbon-mineralization techniques. As Director of CIES, Khayat leads multidisciplinary research initiatives in infrastructure materials engineering, overseeing projects related to concrete rehabilitation, sustainable construction methods, and advanced material characterization techniques for civil infrastructure systems.

Nishant Gargمشاهده پروفایل

استادیار

• Construction Materials
• Sustainable Infrastructure
• Environmental Engineering
• +۳ مورد دیگر

Nishant Garg is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. His research focuses on sustainable construction materials, particularly cement-based systems, leveraging advanced characterization techniques such as X-ray scattering, neutron diffraction, and Raman imaging. His work addresses environmental sustainability through innovations in low-carbon materials, waste utilization, and durability enhancement. Education: Ph.D. in Nanoscience, Aarhus University (2015) M.S. in Civil Engineering Materials, Iowa State University (2012) B.E. and Diploma in Civil Engineering, Thapar Institute of Engineering & Technology and Chandigarh College of Eng. & Tech. (2010, 2007) Research Interests: Sustainable cement chemistry, material characterization, carbonation processes, and development of eco-friendly construction materials. His lab, the Garg Group, emphasizes multi-scale analysis (nano-to-macro) to bridge fundamental science and practical applications. Key Contributions: Innovations include the UR2 test for cement reactivity, SorpVision for automated sorptivity assessment, and VR tools for materials education. These advances aim to reduce costs, improve material performance, and promote circular economy practices. Awards and Roles: Dean’s Award for Excellence in Research (2025) Member, Transportation Research Board AKM 50 Committee (2025–Present) Recipient of American Ceramic Society’s Stephen Brunauer Award (2021) Advising and Grants: Actively recruiting MS/Ph.D. students. Leads initiatives on low-carbon concrete, funded by NSF and industry collaborations. Serves on CEE advisory committees and graduate admissions. Labs/Teams: The Garg Group integrates interdisciplinary approaches, collaborating with materials scientists, engineers, and data scientists to tackle global infrastructure challenges.

• Solid Mechanics
• Materials Science
• Fracture Mechanics
• +۳ مورد دیگر

Jonas Faleskog is a Professor in the Department of Materials and Structural Mechanics at KTH Royal Institute of Technology. His research focuses on mathematical modeling of material deformation and failure mechanisms, particularly in metallic and polymeric materials. Key areas include ductile and brittle fracture analysis, fracture mechanics, and computational modeling of material behavior under various stress conditions. He leads a research group collaborating internationally to develop models describing material failure at microscopic scales. Faleskog teaches courses such as Fracture Mechanics (SE2139) and Modeling in FEM (SE2860), emphasizing practical applications of theoretical models. His work spans experimental and numerical methods, addressing challenges in material heterogeneity, porosity effects, and environmental degradation. Notable contributions include advancements in weakest-link modeling for brittle failure, probabilistic fracture models, and strain gradient plasticity analysis. His research bridges material science, applied mechanics, and numerical methods to optimize material utilization in engineering systems like reactor tanks, aircraft, and vehicles. Key collaborations involve international teams exploring microstructural influences on fracture behavior. While no specific awards are listed, his extensive publication record reflects sustained contributions to mechanical and materials engineering.

Pedro Vilaçaمشاهده پروفایل

استاد

• Welding Technology
• Solid-State Manufacturing
• Non-Destructive Testing (NDT)
• +۶ مورد دیگر

Pedro Vilaça is a **Professor and Head of the Department of Energy and Mechanical Engineering** at **Aalto University's School of Engineering**, Finland. Previously, he worked at the Instituto Superior Técnico (Técnico), University of Lisbon, Portugal (1995–2013). His research focuses on **welding technology**, **solid-state manufacturing**, **non-destructive testing (NDT)**, **hydrogen-related materials science**, and **materials safety**, with applications in energy and aeronautics sectors. He leads R&D teams and has collaborated globally, contributing to 142+ publications (h-index 32 via Scopus). **Research Interests**: Advanced welding techniques (e.g., friction stir welding), hydrogen embrittlement in steels, supercapacitor materials, and smart composites. He has pioneered methods for **zero-material-loss welding** and **self-sensing metallic materials**. **Key Projects**: Led initiatives like **THEWFuelCells** (fuel cell welding innovations) and **EARLY/Vilaca** (hydrogen damage assessment). His work aligns with **UN Sustainable Development Goals**, emphasizing renewable energy storage and industrial sustainability. **Awards**: 2011 Eng. Cruz Azevedo Award for outstanding research in Mecânica Experimental. **Collaborations**: Active in international networks, including the International Institute of Welding and European research consortia. He has organized conferences, reviewed patents, and advised doctoral students globally. **Recent Articles**: Focus on corrosion-resistant materials, piezoelectric composites, and hydrogen-induced failure in steels. His 2023–2025 work emphasizes energy storage innovations and advanced joining technologies. **Grants**: Principal investigator for projects funded by Business Finland, EU EIT, and Academy of Finland. **Labs/Teams**: Oversees Aalto’s mechanical engineering research teams and collaborates with institutions like Helmholtz-Zentrum Geesthacht.

Mervi Paulasto-Kröckelمشاهده پروفایل

استاد

• Electronics Integration
• Reliability Engineering
• Microelectromechanical Systems (MEMS)
• +۸ مورد دیگر

Mervi Paulasto-Kröckel is a Professor in the Department of Electrical Engineering and Automation at Aalto University, specializing in Electronics Integration and Reliability. With a doctoral degree in Engineering and Technology from Helsinki University of Technology (1995) and a Master's degree from the same institution (1990), her work focuses on microelectronics packaging, MEMS, and sustainable electronic manufacturing. Doctoral Degree: Engineering and Technology, Helsinki University of Technology (1995) Master's Degree: Engineering and Technology, Helsinki University of Technology (1990) Her research explores advanced packaging techniques like SLID bonding, reliability of microbumps, and thermally conductive materials. Recent work includes buried aluminum nitride for silicon-on-insulator and fatigue crack analysis in IGBT modules. Her publications emphasize low-temperature processes, interdiffusion, and MEMS reliability. Awards include the JVST A Best ALD Paper Award (2021) and a Best paper award (2000). She leads projects like PowerizeD and 3DPiezoMems, focusing on digitalization and 3D MEMS development. Best paper award (2000) JVST A Best ALD Paper Award (2021)

Awadhesh N. Jhaمشاهده پروفایل

استاد

• Genetic Toxicology
• Ecotoxicology
• Marine Pollution
• +۱۲ مورد دیگر

Professor Awadhesh N. Jha is a Professor in Genetic Toxicology and Ecotoxicology at the School of Biological and Marine Sciences , University of Plymouth, UK. He has been a leading figure in environmental toxicology since joining the university in 1996, rising to full professorship in 2010. He leads the Environmental and Applied Biology Research Group and the Genetic Toxicology and Ecotoxicology Research Group, and served as REF UoA6 Coordinator (2014–2022). His educational background includes a PhD in Radiation Cytogenetics from Banaras Hindu University, India (1989), followed by post-doctoral work at Leiden University, Netherlands, and a role at ICI/Zeneca’s marine toxicology lab before transitioning to academia. Professor Jha’s research focuses on the genotoxic and ecotoxic impacts of environmental stressors such as radionuclides, engineered nanoparticles, PAHs, and emerging contaminants on aquatic organisms. He employs multidisciplinary and innovative methodologies, including in vitro models like fish cell spheroids (‘Virtual Fish’ project), to assess DNA damage, develop biomarkers, and reduce reliance on live animal testing. His work integrates molecular biology, chemistry, and environmental science to evaluate risks to marine ecosystems and human health. The recent research articles reflect a strong trend in marine pollution, radiation biology, and environmental risk assessment , with increasing emphasis on emerging issues like tritium release from nuclear facilities, AI-assisted landfill risk modeling, and sunscreen toxicity. His studies often involve international collaborations and real-world policy implications. Scientific Awards and Recognitions: Jim Parry Award, UKEMS (2021) Fellow of the Royal Society of Biology (FRSB, 2015) VC’s World Class Researcher Award Finalist (2010, 2012) Plymouth Pioneers Recognition UK Nominated Expert, UN WOA III (2023) Supervision and Grants: Professor Jha has supervised 26 PhD students to completion and mentored over 10 post-doctoral researchers. He has led major funded projects including TRANSAT (€5M, Horizon 2020), SPHERTOX , and TITANS , funded by EU, NERC, BBSRC, IAEA, and industry partners like AstraZeneca and Unilever. His work directly informs environmental policy and nuclear safety regulations. Laboratories and Teams: He leads the Genetic Toxicology and Ecotoxicology Research Group and is central to the Environmental and Applied Biology Research Group at Plymouth. His team collaborates internationally with institutions in France, Italy, Spain, Brazil, and India, and contributes to the South West Nuclear Hub. The lab specializes in advanced analytical methods, comet assays, and 3D cell culture models.

Roummel F. Marciaمشاهده پروفایل

استاد

• Optimization
• Signal Processing
• Data Science
• +۵ مورد دیگر

Roummel F. Marcia is a Professor and current Chair of the Department of Applied Mathematics at the University of California, Merced, within the School of Natural Sciences. He received his Ph.D. from UC San Diego under Professor Philip Gill and previously held postdoctoral positions at the San Diego Supercomputer Center and University of Wisconsin-Madison, as well as a research scientist position in electrical engineering at Duke University. His research spans multiple areas in optimization and its applications, with a focus on signal processing, data science, machine learning, linear algebra, and mathematical biology. Dr. Marcia's work has significant interdisciplinary impact, particularly in biomedical imaging, computational biology, and quantum computing applications. His research methodology often combines theoretical optimization approaches with practical applications in data-intensive fields. Dr. Marcia's recent publications demonstrate a strong trend toward integrating optimization theory with deep learning architectures, particularly in applications requiring sparse data handling, biomedical imaging, and quantum computing. His work shows increasing focus on developing novel optimization algorithms specifically designed for machine learning contexts, including quasi-Newton methods adapted for deep learning and specialized techniques for handling non-convex optimization problems. School of Natural Sciences Faculty Award for 'Developing or Improving Academic Programs and Tracks' (2021-22) Leadership roles in SIAM Activity Group on Applied Mathematics Education Recognition as a Math Alliance Mentor for supporting underrepresented students Dr. Marcia has successfully mentored numerous doctoral students to completion, with graduates moving to positions at Meta, Johns Hopkins University Applied Physics Laboratory, Lawrence Livermore National Laboratory, and other prestigious institutions. His research has been consistently funded by major agencies including NSF (with grants IIS 1741490, DMS 1840265, DMS 2229495, CCF 2343610), DARPA, and ARPA-E. As the current graduate chair of the Applied Math Graduate Program, he plays a key role in shaping the next generation of mathematical scientists. His work with the SMaRT (Scientific Mathematics Research and Training) team demonstrates his commitment to collaborative, interdisciplinary research.