Find Academic Supervisors

William SchonbergView profile

Professor

• Micrometeoroid and Orbital Debris (MMOD)
• Spacecraft Shielding
• Lunar In-Situ Resource Utilization
• +3 more

William Schonberg is a Professor in the Department of Civil, Architectural and Environmental Engineering at Missouri University of Science and Technology, specializing in aerospace engineering applications within civil infrastructure frameworks. His research bridges terrestrial engineering disciplines with space exploration challenges, particularly in spacecraft protection systems and lunar resource utilization. His primary research domains include: Micrometeoroid and Orbital Debris (MMOD) risk analysis and mitigation strategies Development and refinement of ballistic limit equations for spacecraft shielding Lunar regolith processing for in-situ resource utilization (ISRU) Space law frameworks addressing orbital debris accountability Electrostatic and magnetic separation techniques for regolith beneficiation Aluminum extraction from lunar materials via molten salt electrolysis Analysis of his 2023-2025 publications reveals a dual research trajectory: advancing Mars Sample Return mission safety through MMOD risk uncertainty modeling for Earth Entry Systems, and pioneering lunar resource processing technologies. His MMOD work focuses on probabilistic risk assessment methodologies for spacecraft shielding, while his ISRU research demonstrates practical approaches for sustainable lunar exploration through regolith beneficiation and metal extraction. No scientific awards were documented in the source materials. Information regarding graduate student advising, grant funding, or laboratory facilities was not explicitly provided in the available texts.

Bastian WelschView profile

Professor

• Geothermal Energy
• Renewable Energy Systems
• Borehole Thermal Energy Storage
• +3 more

Prof. Dr.-Ing. Bastian Welsch serves as a Professor in the Department of Civil and Environmental Engineering at Bochum University of Applied Sciences, where he holds key leadership roles including Head of the Renewable Energy Systems program, Chairman of the Renewable Energy Systems Committee, and member of both the Departmental Council and founding board of the Energy Transition Institute (EnWI). His academic focus centers on geothermal energy systems and renewable energy integration within sustainable infrastructure frameworks. Welsch's research expertise spans medium-deep borehole thermal energy storage, geothermal probe modeling, and renewable energy system optimization. His work addresses critical challenges in seasonal heat storage, district heating integration, and groundwater interaction with geothermal systems. He has pioneered simulation tools like BASIMO for optimizing borehole heat exchanger arrays and investigated permeability changes affecting regulatory approvals. His research bridges technical engineering with environmental and economic sustainability assessments. Analysis of his 15 most recent publications (2015-2020) reveals a strong trajectory toward practical implementation of geothermal storage solutions, with increasing emphasis on economic viability, environmental impact metrics, and integration with 4th generation district heating grids. His work consistently combines numerical modeling with real-world system design, demonstrating growing sophistication in optimization algorithms and multi-system coupling approaches. As an educator, Welsch teaches across both bachelor's and master's programs, covering foundational courses like Geology and Georesources alongside specialized subjects including Geothermal Energy Systems, Renewable Energies and Energy Supply, and advanced Geothermal Systems courses focusing on heating/cooling storage and electricity generation. He maintains regular consultation hours for students during academic terms.

Zhiyuan LiView profile

Professor

• Program Analysis
• Compiler Design
• Parallel Computing
• +6 more

Zhiyuan Li is a Professor in the Department of Computer Sciences at Purdue University's College of Engineering. His primary research and teaching focus on program analysis, transformation, and run-time management for high-performance computing and multicore systems, as well as reliable software for networked embedded systems. Professor Li teaches graduate-level courses including CS502: Compiling and Programming Systems and CS591RS1: Research Seminar for First-year Graduate Students. Office: LWSN 3154H Contact: li@cs.purdue.edu Phone: +1 765-494-7822 Professor Li's research spans multiple areas within computer science, with particular emphasis on compiler design, program analysis, and parallel computing. His work addresses fundamental challenges in enabling efficient execution of applications on modern parallel architectures, including multicore processors and large-scale distributed systems. He has made significant contributions to techniques for data dependence analysis, loop parallelization, array privatization, and memory optimization in compilers. His research also extends to reliable software development for embedded and sensor network systems, where resource constraints and reliability requirements present unique challenges. Professor Li's publication record demonstrates consistent contributions to top-tier conferences and journals in computer science, particularly in the areas of parallel computing, compiler optimization, and high-performance numerical methods. His work shows a progression from foundational compiler techniques to applications in scientific computing domains such as computational fluid dynamics for jet engine noise simulation. This interdisciplinary approach connects low-level program analysis with real-world engineering applications requiring petascale computing resources. Principal Investigator for NSF/PetaApps project on jet engine noise simulation Principal Investigator for Intel-sponsored research on data dependence profiling Extensive service on program committees for major conferences including ICS, PPoPP, and LCTES Professor Li has been actively involved in mentoring graduate students through research projects and course instruction. His jet engine noise simulation project specifically mentions training three Ph.D. graduate students and involving undergraduate research assistants. As coordinator for the first-year graduate research seminar, he plays a significant role in guiding new students through the transition to graduate research work in computer science. His laboratory work focuses on developing compiler techniques and runtime systems for parallel and high-performance computing. The research infrastructure includes implementations in GCC for fast data dependence profiling and support for SIMD/SSE instructions, demonstrating practical applications of theoretical compiler techniques.

• Mechatronics
• Robotics
• Safety Engineering
• +6 more

Yoshitaka Tanimizu is a Professor at the School of Creative Science and Engineering, Faculty of Science and Engineering, Waseda University. His research focuses on intelligent manufacturing systems, scheduling optimization, and human-centered production models. He holds a Doctor of Engineering degree from Osaka University and maintains an active research laboratory.

Pierre Le ClechView profile

Associate Professor

• Membrane and Separation Technologies
• Chemical Engineering
• Water Treatment Processes
• +3 more

Associate Professor Pierre Le Clech is a leading expert in membrane science and chemical engineering at the University of New South Wales , affiliated with the UNESCO Centre for Membrane Science & Technology. His work focuses on optimizing membrane processes for water and wastewater treatment, particularly addressing fouling mechanisms caused by biopolymeric materials and algal blooms. Current research explores fouling characterization, energy-efficient desalination, and membrane regeneration strategies. He contributes to Desalination and Water Treatment as Associate Editor, and serves on the editorial boards of Membrane Water Treatment and Process Safety and Environmental Protection . Research Trends : Recent publications highlight advancements in algal fouling analysis, graphene oxide membrane applications, and computational modeling of fouling dynamics. His work bridges chemical engineering with environmental technology , emphasizing sustainable solutions for global water challenges. Scientific Awards : Associate Editor, Desalination and Water Treatment Editorial Board Member, Membrane Water Treatment and Process Safety and Environmental Protection Supervision & Collaboration : He actively supervises projects in municipal wastewater treatment, potable water systems, and membrane fouling mitigation. His team collaborates with industry partners on innovations like solar-integrated desalination and biofouling prevention.

• Safety analysis
• Thermal-hydraulics
• Risk assessment
• +5 more

Juliana Pacheco Duarte serves as an Associate Professor in the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison, where she leads research in nuclear safety analysis, thermal-hydraulics, and risk assessment of advanced nuclear systems. Her expertise spans experimental design for high-pressure two-phase heat transfer phenomena and computational thermal-hydraulic analysis using industry-standard codes including COBRA, CTF, TRACE, and MELCOR. Her educational background includes a PhD in Nuclear Engineering from the University of Wisconsin-Madison (2018), an MS from the University of São Paulo (2014), a BS from State University of Campinas (2016), and a BS from the Federal University of Rio de Janeiro (2013). Prior to her doctoral studies, she contributed to critical heat flux experiments for nuclear propulsion reactors at the Brazilian Navy’s thermal-hydraulics division. Dr. Duarte's research program integrates traditional nuclear engineering methodologies with cutting-edge machine learning techniques, focusing on accident-tolerant fuels, severe accident progression in small modular reactors, and fire safety analysis in electrical enclosures. Her work addresses critical challenges in post-critical heat flux phenomena, density wave instabilities, quenching behavior, and uncertainty quantification for nuclear safety applications. Analysis of her 15 most recent publications (2023-2025) reveals a pronounced trend toward machine learning integration in nuclear safety analysis, with 60% of articles applying AI/ML methods to thermal-hydraulic challenges, accident progression modeling, and fire risk assessment. Her research bridges experimental validation with computational modeling, particularly in chromium-coated cladding performance, electrical fire dynamics, and natural circulation stability. Her scientific contributions have been recognized through prestigious awards including: 2023 DOE Nuclear Energy University Program Distinguished Early Career Program Award 2022 American Nuclear Society ATH’22 Best Paper Award 2019 US NRC Nuclear Education Program Faculty Development award 2014 CREA/RJ IV Oscar Niemeyer Award for Scientific Projects CAPES Science without Borders Fellowship (2014) Dr. Duarte actively mentors graduate students through thesis research courses (NE 790/890/990) and teaches advanced courses including Methods for Probabilistic Risk Analysis of Nuclear Power Plants. Her research is supported by grants from the Department of Energy (NEUP program), Nuclear Regulatory Commission, and Brazilian funding agencies including CAPES and CNPq. Her experimental work leverages high-pressure thermal-hydraulic facilities at UW-Madison, with collaborations extending to national laboratories and industry partners in nuclear safety validation studies. Current projects focus on fusion machine design applications and next-generation accident-tolerant fuel performance under extreme conditions.

• Stormwater Management
• Hydrology
• Environmental Monitoring
• +5 more

Dr. Walter McDonald is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at Marquette University . He specializes in water resources engineering, with a strong focus on stormwater management, hydrology, and environmental monitoring. His work integrates remote sensing, machine learning, and green infrastructure to address urban water challenges. Education: Ph.D. in Civil Engineering, Virginia Tech (2016) M.S. in Civil Engineering, Texas A&M University (2012) B.S. in Civil Engineering, Texas Tech University (2010) Research Interests: Dr. McDonald’s research is centered on urban water systems , particularly the impact of stormwater on environmental and public health. His work spans the use of green infrastructure to mitigate pollution, the detection and modeling of emerging contaminants such as antibiotic resistance genes, microplastics, and PFAS, and the application of drone-based remote sensing and machine learning for real-time monitoring of water systems. Scientific Awards: Way Klingler Early Career Award from Marquette University (April 2022) Grants and Funding: NSF Water Equipment & Policy I/UCRC – Principal Investigator on "Remote sensing and machine learning to assess urban watershed best management practices (Phase II)" ($89,962, 2024) U.S. Department of Defense Engineering Research and Development Center – Co-PI on "Novel Technologies to Mitigate Water Contamination for Resilient Infrastructure – Phase II" ($3.8M, 2022–2024) NSF STTR – PI on "Machine learning and video-based sensor for measuring sewer flows" ($256,000 total; $138,926 to MU, 2022–2024) NSF Water Equipment & Policy I/UCRC – PI on "Determining flow rates and flow sources in pipes using temperature data" ($50,000, 2023) Research Labs and Facilities: Dr. McDonald works closely with the Transportation Research Center (MUTRC) and utilizes departmental labs such as the Engineering Materials & Structural Testing Lab (EMSTL) , Hydraulics Lab , and the Water Quality Center to support his research activities.

• Water Security
• Climate Change
• Public Health
• +11 more

Corinne Wallace is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University , with research expertise at the intersection of water security, climate change, public health, and gender equity. Her work spans both technical engineering analysis and community-engaged studies, particularly focusing on marginalized populations in Canada, East Africa, and South America. Dr. Wallace's research interests include: Water-Health Nexus Climate Change Impacts on Disease Gender Equity in Water Access Indigenous Water Governance Mosquito-Borne Disease Modeling Rainwater Harvesting Systems Her publication trends show increasing focus on climate-health interactions (2025), gender-water linkages (2024), and machine learning applications for water quality analysis (2025). She employs mixed-methods approaches and works closely with First Nations communities and international development organizations. Dr. Wallace utilizes art-science communication strategies like the Virtual Water Gallery to transform water and climate knowledge dissemination. Her recent work explores EDI (Equity, Diversity, Inclusion) implementation in large research networks and conceptual frameworks for climate-water equity.

• Architectural Design
• Digital Fabrication
• Robotics in Wood Construction
• +5 more

AnnaLisa Meyboom is an Associate Professor at the University of British Columbia’s School of Architecture and Landscape Architecture (SALA). As Director of the Transportation Infrastructure and Public Space Lab (TIPSlab), she bridges engineering and architecture through research on digital fabrication, autonomous vehicles, and responsive environments. Engineering from University of Waterloo Architecture from University of British Columbia Her research explores: Digital Wood Fabrication: Robotic construction techniques for large-scale timber structures. Autonomous Urbanism: Reimagining city layouts for self-driving vehicles. Responsive Architecture: Integrating technology into adaptive building systems. While her publications span from 2000 to 2022, recent works focus on infrastructure’s cultural value and future mobility systems. She has taught at institutions globally and led design-build initiatives across Canada. Co-founder of TIPSlab Featured speaker at international conferences Combines engineering rigor with architectural creativity

Jürgen PfefferView profile

Professor

• Computational Social Science
• Big Data Analysis
• Social Network Analysis
• +5 more

Jürgen Pfeffer is a Professor of Computational Social Science & Big Data at the Technical University of Munich's School of Social Sciences and Technology, with an additional appointment as Adjunct Professor at Carnegie Mellon University's Institute for Software Research. His interdisciplinary work bridges computer science and social science with a focus on analyzing large-scale socio-technical systems. His research expertise spans computational social science, network analysis, and big data methodologies. Pfeffer's work examines methodological, algorithmic, and theoretical challenges in analyzing dynamic social systems, with current projects focusing on modeling and detecting negative dynamics from social media, particularly online firestorms and hate speech against politically active women. His research combines network science approaches with computational methods to understand complex social phenomena. Pfeffer's publication record demonstrates significant contributions to the field since his 2010 doctorate, with high-impact papers in journals like Science and EPJ Data Science. His work on social media analysis, particularly the influential 2014 Science paper 'Social Media for Large Studies of Behavior' co-authored with Derek Ruths, has shaped methodological approaches in the field. His research shows consistent evolution from foundational network analysis to contemporary applications in political discourse, hate speech detection, and multi-layer network analysis. Hennig, M., Brandes, U., Pfeffer, J., & Mergel, I. (2012). Studying Social Networks. A Guide to Empirical Research Ruths, D., & Pfeffer, J. (2014). Social Media for Large Studies of Behavior Pfeffer, J., Morstatter, F., & Mayer, K. (2018). Tampering with Twitter's Sample API As an advisor and collaborator, Pfeffer has worked extensively with researchers including Raji Ghawi, Mirco Schönfeld, Momin Malik, and Kathleen Carley. His work demonstrates strong connections between theoretical network science and practical applications in social media analysis. His current research continues to address pressing issues in online discourse, with recent work focusing on hate speech classification, lexical change in negative word-of-mouth, and polarization dynamics in social media environments. Pfeffer leads the Pfeffer Lab, which focuses on developing methodological approaches for analyzing complex social systems through computational methods. His work has implications for understanding political legitimacy, social influence, and community dynamics in both online and offline contexts.

Sabine C. LangerView profile

Professor

• Acoustics
• Modeling and Simulation
• Numerical Acoustics
• +7 more

Prof. Dr.-Ing. Sabine C. Langer is a Full Professor of Acoustics and Director of the Institute of Acoustics at Technische Universität Braunschweig. She holds a PhD in Engineering and has extensive experience in academia, including leadership roles such as President of the Deutsche Gesellschaft für Akustik (DEGA) and Deputy Speaker of the DFG Collaborative Research Center 880 (SFB 880). Her research focuses on acoustics, numerical modeling, aircraft noise reduction, and innovative materials for sound absorption. She has pioneered studies on acoustic black holes, metamaterials, and AI-driven design optimization. Langer’s work also includes contributions to educational platforms, such as developing MATLAB-based sound quality analysis tools and online learning resources for engineering students. Education: Civil Engineering degree (1991–1996, TU Braunschweig), PhD in Engineering (2001, TU Braunschweig). Key positions include W2 Professor for Vibroacoustics (2013–2018) and Junior Professor for Wave Propagation and Building Acoustics (2003–2013). She led the Graduate School at SFB 880 and advised numerous research initiatives in structural acoustics and noise mitigation. Research interests span numerical acoustics, sound quality assessment, and sustainable acoustic design. Her recent work emphasizes AI integration in engineering design, stochastic modeling, and additive manufacturing of acoustic materials. She has published extensively on aircraft cabin noise prediction, vibration isolation, and metamaterial applications. Professional roles include membership in the DIN/VDI Normenausschuss Akustik and the Advisory Board of the Excellence Cluster Hearing4All. She has organized major acoustics conferences, including DAGA 2020 in Hannover, and contributed to standard-setting in noise reduction and vibration technology.

• Business Analytics
• Operations Research/Management
• Operational Analytics
• +7 more

Mehdi Toloo is a Reader in Business Analytics at the University of Surrey's Surrey Business School. He holds a BSc, MSc, and PhD, and is a docent. Previously, he was a Professor at Technical University of Ostrava (Czech Republic) and Sultan Qaboos University (Oman). His research focuses on Business Analytics, Operations Research, Data Envelopment Analysis (DEA), and Decision Analysis. He has supervised over 40 postgraduate students and contributed to top-tier journals like European Journal of Operational Research and Omega. He is an editor for journals including Computers & Industrial Engineering and Decision Analytics. Recognized globally, he ranks in the top 2% of scientists worldwide in Business Analytics & Operations Research (2020-2024). His research projects include performance evaluation with unclassified factors, economies of scope in network DEA, and selective measures in DEA. He collaborates internationally on projects like robust optimization and supply chain sustainability. His teaching spans undergraduate courses in Operations Research, Mathematics for Business, and Programming, alongside postgraduate modules on Quantitative Methods and Advanced DEA. His work bridges theoretical and applied research, with applications in healthcare, renewable energy, and public policy.

Paul FenterView profile

Adjunct Professor

• solid-liquid interfaces
• geochemistry
• energy storage
• +5 more

Paul Fenter is an Argonne Distinguished Fellow, Senior Physicist, and Group Leader for Interfacial Processes in the Chemical Sciences and Engineering Division at Argonne National Laboratory, with an Adjunct Professor appointment in Earth and Environmental Sciences. His research leverages synchrotron X-ray techniques at the Advanced Photon Source to probe solid-liquid interfaces across energy, environmental, and geological systems. Fenter earned his Ph.D. in Physics from the University of Pennsylvania (1990) and B.S. in Physics from Rensselaer Polytechnic Institute (1984). His foundational work bridges experimental physics with practical applications in mineral-water interactions and electrochemical processes. His research portfolio demonstrates sustained innovation in interfacial science, with recent publications (2024-2020) focusing on coherent X-ray imaging of interfaces, ion adsorption dynamics at mineral surfaces, and hydration layer structures. These studies integrate synchrotron techniques with computational modeling to address challenges in energy storage, geochemical cycling, and environmental remediation. Key themes include the atomic-scale characterization of electrochemical interfaces and real-time observation of interfacial transformations under operational conditions. Notable recognitions include: Bertram E. Warren Diffraction Physics Award (American Crystallographic Association, 2012) Argonne National Laboratory Board of Governors’ Distinguished Performance Award (2018) Fellow of the American Physical Society (2007) Fenter directed the DOE-funded Center for Electrochemical Energy Science (2014-2020), securing major research grants for energy storage innovation. His leadership in interfacial research has established critical methodologies for in situ characterization of buried interfaces, impacting fields from battery technology to subsurface contaminant transport. As Group Leader, he oversees a multidisciplinary team developing next-generation X-ray techniques for complex fluid-solid systems.

Pingbo TangView profile

Associate Professor

• Civil Engineering
• Remote Sensing
• Human Systems Engineering
• +5 more

Pingbo Tang is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, affiliated with the College of Engineering. He leads the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). Tang holds a Ph.D. from Carnegie Mellon University (2009), a Master’s in Bridge Engineering from Tongji University (2005), and a Bachelor’s in Civil Engineering from Tongji University (2002). His research focuses on civil infrastructure operations, human systems engineering, and AI-driven solutions for predictive management. Key areas include remote sensing, data analytics, and Human-Cyber-Physical-Systems (H-CPS) in construction and infrastructure (e.g., airports, nuclear plants). He has published over 100 peer-reviewed articles and secured funding from NSF, DOE, NASA, and industry partners. Tang is a leader in professional organizations, including ASCE (Computing Division Chair), TRB (Bridge Management Committee), and ASTM International. He has received prestigious awards, including the NSF CAREER Award (2015), ASCE Halpin Award (2020), and multiple best-paper honors. His work integrates AI, digital twins, and safety innovation, with applications in aviation scheduling (e.g., Alaska Airlines collaborations) and nuclear power plant operations. Tang’s research emphasizes sustainable infrastructure, safety, and interdisciplinary solutions for complex systems.

Alexander MathysView profile

Associate Professor

• Sustainable Food Processing
• Alternative Protein Sources
• Food Biotechnology
• +4 more

Prof. Alexander Mathys is an Associate Professor at the Department of Health Sciences and Technology, ETH Zurich, and Deputy Head of the Institute of Food, Nutrition, and Health. His research focuses on sustainable food processing, with a systems-oriented approach to optimize food value chains and address environmental, economic, and social impacts. Key areas include microalgae and insect-based protein sources, bioconversion of food waste, and novel preservation technologies. Education: PhD in Food Processing (2008), Tenured Professor (2022). Affiliations: Singapore-ETH Centre, Bezos Centre for Sustainable Protein (NUS). Research Interests: Sustainable food systems, bioeconomy principles, multi-indicator sustainability assessments. Innovations include urban farming concepts, microalgae cultivation for nutrition, and mechanical/biotechnological food processing techniques. Awards: IAFoST Fellow (2024), ETH Zurich Dandelion Award (2022), IFT International Food Security Award (2020), Young Researcher (Nobel Laureates Meeting, 2010). Grants & Advising: Over 200 publications (140 peer-reviewed articles), 13 patents, and extensive international collaborations. Leads the Sustainable Food Processing group at ETH Zurich. Labs/Teams: Directs interdisciplinary research teams exploring novel protein sources, food waste valorization, and scalable bioprocessing technologies.