جست‌وجوی استاد و پژوهشگر

Banu Lokmanمشاهده پروفایل

استاد

• Operational Research
• Multi-criteria Decision Making
• Optimization
• +۳ مورد دیگر

Banu Lokman is a Professor of Operational Research (OR) at the University of Portsmouth, serving as Associate Head (Research and Innovation) in the School of Organisations, Systems and People within the Faculty of Business & Law. She leads the Centre for Innovative and Sustainable Finance and contributes to the Centre for Operational Research & Logistics. Her expertise spans multi-criteria decision-making, optimization, and their applications in healthcare and sustainability. She holds editorial roles at OMEGA and the IMA Journal of Management Mathematics and organizes the NATCOR MCDM courses. Previously, she served as Deputy Director of CORL (2011–2024), Secretary of the International MCDM Society, and Board Member of INFORMS MCDM Section. She currently chairs the INFORMS MCDM Section as President-elect/Vice-President. Education: BSc, MSc, and PhD in Industrial Engineering from Middle East Technical University (METU, Turkey), followed by postdoctoral research at Aalto University (Finland). She taught at METU (2014–2019) and held visiting roles at Aalto University. Research Interests: Focuses on developing optimization methods for multi-criteria decision problems, particularly in healthcare (e.g., optimizing prostate biopsy decisions with Portsmouth NHS Trust) and sustainability. Her work emphasizes algorithms for nondominated set representation, robust efficiency analysis, and cluster ensemble methods. Key Awards: Bernard Roy Award (2022) for outstanding contributions to Multiple Criteria Decision Aiding, and Young Researcher Award (2015). Advising & Grants: Leads a healthcare-related PhD project and contributes to projects like the Social Investment Fund collaboration with Waltham Forest Council. She actively supervises students and participates in research initiatives on supply networks and data control systems. Labs & Teams: Engaged with interdisciplinary teams in operational research and logistics, particularly in applying OR to real-world challenges such as energy market optimization and MRO supply networks.

Brian Vermeireمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Aerodynamics
• High-Performance Computing
• +۶ مورد دیگر

Brian Vermeire is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on computational fluid dynamics, aerodynamics, high-performance computing, turbulence modeling, numerical methods, and optimization. He leads the Computational Aerodynamics Laboratory, emphasizing scale-resolving simulations and high-order numerical techniques. Key interests include large eddy simulation (LES), direct numerical simulation (DNS), and gradient-free optimization. His work often involves developing advanced algorithms for unstructured grids and high-performance computing platforms. Research Interests: High-order numerical methods Implicit/explicit time integration schemes Polynomial adaptation for adaptive meshing Aeroacoustic shape optimization Large eddy simulation (LES) and direct numerical simulation (DNS) Software development for CFD (e.g., PyFR) Recent work trends show strong focus on hybridized flux reconstruction methods, energy-conservative algorithms, and industrial adoption of high-fidelity simulations. Major contributions include scalable implementations for petascale computing and open-source tools like PyFR. His group collaborates on applications such as wind turbine aerodynamics and low-pressure turbine design. Labs/Teams: Computational Aerodynamics Laboratory (website: link )

Marco Janssenمشاهده پروفایل

استاد

• Sustainability Science
• Social-Ecological Systems
• Common Pool Resources
• +۵ مورد دیگر

Marco Janssen is a Professor in the School of Sustainability and Director of the Center for Behavior, Institutions, and the Environment (CBIE) at Arizona State University (ASU). He holds affiliated roles across multiple institutions including the Biosocial Complexity Initiative, Center for Social Dynamics and Complexity (CSDC), and the ASU-SFI Center for Biosocial Complex Systems. His work focuses on governance of shared resources (water, energy, critical minerals) through behavioral experiments, agent-based modeling, and case studies. Education: PhD in Mathematics (Maastricht University, 1996) and MA in Econometrics (Erasmus University Rotterdam, 1992). Research interests include social-ecological systems, collective action challenges, and institutional design. Active in open science initiatives to enhance accessibility of research and educational materials. Key affiliations include the Julie Ann Wrigley Global Futures Laboratory, School of Human Evolution and Social Change, and the Complex Adaptive Systems School. Grants funded by NSF and Sloan Foundation support projects on commons governance, cyberinfrastructure for modeling, and urban sustainability (e.g., ASU Project Cities).

Daria Camilla Boffitoمشاهده پروفایل

استاد

• Process Intensification
• Catalysis
• Photocatalysis
• +۱۱ مورد دیگر

Daria Camilla Boffito is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal , holding the Tier-2 Canada Research Chair in Intensified Mechano-chemical Processes for Sustainable Biomass Conversion. Her research spans process intensification , catalysis , sonochemistry , photocatalysis , and metal extraction , with a focus on sustainability. Education: B.Sc. and Ph.D. in Industrial Chemistry from the University of Milan, M.Sc. in Industrial Chemistry and Management Current Research: Developing ultrasound-assisted extraction , CO2 conversion , and floating photocatalysts for wastewater treatment Collaborations: Works with Canadian and international companies on sustainable chemical processes Scientific Awards include the Canada Research Chair Tier-2 (2016-2021), NSERC Banting Postdoctoral Fellowship (2013-2016), and FRQNT PBEEE Postdoctoral Fellowship (2013-2016). Advising has seen 5 Ph.D. and 9 Master's students graduate. She leads the Engineering Process Intensification and Catalysis (EPIC) Laboratory and is a member of the Institut de génie biomédical .

Jesse Capecelatroمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Multiphase Flow
• Turbulence
• +۵ مورد دیگر

Jesse Capecelatro is an Associate Professor in the Departments of Mechanical Engineering and Aerospace Engineering at the University of Michigan. He leads the Computational Multi-phase/Multi-physics Flow Lab (CRG), focusing on numerical methods and data-driven models for complex flows in renewable energy, disease transmission, and space exploration. Ph.D., Mechanical & Aerospace Engineering, Cornell University (2014) M.S., Mechanical & Aerospace Engineering, Cornell University (2012) M.S., Mechanical Engineering, University of Colorado (2011) B.S., Mechanical Engineering, SUNY Binghamton (2009) His research spans fluid mechanics , multiphase flow , and high-performance computing , with applications in renewable energy systems , space exploration , and disease transmission modeling . Current projects include plume-surface interactions and turbulence modeling for particle-laden flows. Recent publications highlight advancements in multiphase flow instabilities and shock-particle interactions , reflecting his expertise in computational modeling of complex flows. CRG’s work often combines physics-based simulations with machine learning for predictive analysis. National Science Foundation CAREER Award Office of Naval Research Young Investigator Award ASME Pi Tau Sigma Gold Medal Capecelatro’s mentoring style emphasizes regular collaboration, with weekly meetings, annual progress reviews, and support for conference attendance (e.g., AIAA, APS DFD). His lab includes postdocs, doctoral students, and international collaborators, fostering interdisciplinary research in scientific computing and fluid dynamics . CRG develops open-source tools for multiphase flow simulation and contributes to textbook revisions like Fluid Mechanics, 7th Edition , co-authored with David Dowling. The team’s work bridges fundamental research and practical applications in energy and aerospace sectors.

Tiina Ritvalaمشاهده پروفایل

دانشیار

• Cross-sector partnerships
• Multinational Corporations
• Institutional change
• +۳ مورد دیگر

Tiina Ritvala is an Associate Professor and Assistant Dean (Teaching and Education) at the Department of Management Studies, Aalto University. Her research focuses on cross-sector collaboration between multinational corporations (MNCs), cities, and nonprofits in contexts like sustainable cities, energy transition, and cultural fields. She holds a D.Sc. (Econ.) from the Helsinki School of Economics (2008) and has been a Visiting Scholar at SCANCOR/Weatherhead (Harvard), Queen's University (Canada), and WU Vienna. Her work bridges organizational theory, international business, and social purpose. **Research Interests**: Cross-sector partnerships, multinational corporations, institutional change, sustainable cities, cultural and creative fields, energy transition. These areas are explored through case studies on global-local dynamics, MNE-NGO interactions, and sustainability initiatives. Recent work emphasizes spatial analysis in international business and geopolitical influences on corporate strategies. **Awards**: Received the Best Paper Award at EIBA 2017 for research on MNEs and sustainable development, the 1997 McKinsey Award for academic excellence, and a distinguished paper honor in the EDAMBA Thesis Competition (2009). **Professional Background**: Prior to academia, she worked in business consulting for a decade and engaged in volunteer work. Her teaching and administrative roles complement her research, focusing on international business education and institutional innovations. **Key Contributions**: Leads the Sustainability in Business research group, exploring topics like energy utilities' transition to renewables, MNC spatial strategies, and transnational commons governance. Her work often highlights the interplay between global institutions and localized action in addressing societal challenges.

Suresh K. Sitaramanمشاهده پروفایل

استاد

• Computer-Aided Engineering
• Manufacturing
• Micro & Nano Engineering
• +۷ مورد دیگر

Suresh K. Sitaraman is a Regents' Professor and Morris M. Bryan, Jr. Professor in Mechanical Engineering at the Georgia Institute of Technology's George W. Woodruff School of Mechanical Engineering. His primary research focuses on Computer-Aided Engineering (CAE) and Design, manufacturing processes, micro/nano engineering, and mechanics of materials. He leads the Computer-Aided Simulation of Packaging Reliability (CASPaR) Lab and is involved in flexible hybrid electronics research through the Flexible Electronics Center . Dr. Sitaraman holds a Ph.D. from The Ohio State University (1989), M.A.Sc. from the University of Ottawa (1985), and B.E. from the University of Madras (1982). His research includes developing novel techniques like fixtureless magnetic actuation for interfacial fracture testing, compliant micro-scale interconnects for stress mitigation, and synchrotron X-ray diffraction analysis for through-silicon vias (TSVs). He has pioneered studies on carbon nanotube forests' mechanical properties and reliability challenges in 3D microsystems. His awards include the NSF CAREER Award (1997-2002), ASME Fellow designation (2004), and Sigma Xi Sustained Research Award (2008). He has authored over 150 publications and holds multiple patents on compliant interconnect technologies and packaging reliability solutions. Key Research Themes: Micro/nano-scale material characterization, physics-based predictive modeling, flexible electronics, 3D integration, and thermal management. Labs/Initiatives: CASPaR Lab ( caspar.gatech.edu ), Flexible Hybrid Electronics Center. Industry Impact: Contributions to semiconductor packaging, wearable electronics, and advanced manufacturing techniques.

• Decarbonization of Built Environments
• Bio-Based Materials Engineering
• Structural Systems Optimization
• +۳ مورد دیگر

Dr. Bhavna Sharma is an Associate Professor and Director of the Chase L. Leavitt Master of Building Science Program at the USC School of Architecture. Her work focuses on decarbonization, bio-based materials innovation, and sustainable healthcare infrastructure. She leads the Keck USC Sustainable Healthcare Initiative (KUSHI) to advance environmentally conscious healthcare systems. Dr. Sharma holds a Ph.D. in Civil and Environmental Engineering from the University of Pittsburgh, with additional degrees in Art History and Architecture. Her research spans structural systems optimization from material harvesting to building-scale applications, emphasizing bio-composites like bamboo and timber. She co-chairs USC's Presidential Working Group on Sustainability, contributing to Assignment: Earth climate goals. Courses taught include seismic design, structural systems, and building science integration. Key research areas include lifecycle assessment in healthcare, seismic-resistant designs, and interdisciplinary standards for non-conventional materials. Her work bridges material science, architectural practice, and policy to address global sustainability challenges.

• Digital Hardware Design
• Reliability Engineering
• Reconfigurable Devices
• +۳ مورد دیگر

Eleonora Vacca is a PhD student and Research Fellow in the Department of Automatic Control and Computer Science (DAUIN) at the Polytechnic University of Turin. She holds a B.S. in Electronic Engineering from the University of Palermo (2018) and an M.S. in Electronic Engineering-Embedded Systems from Politecnico di Torino (2021). Her research focuses on digital hardware design, reliability engineering, reconfigurable devices, and AI applications in aerospace and safety-critical systems. She is a member of the Aerospace and Safety Computing Lab and the CAD - Electronic CAD & Reliability Group (DAUIN). Her work addresses challenges such as radiation effects mitigation in space missions, fault-tolerant AI accelerators, and real-time anomaly detection in satellite telemetry. She has contributed to projects like the RAMSES CubeSat-1 Development (2025-2026), funded by commercial contracts. In 2024, she won the Best Student Paper Award at the NEWCAS Conference for her research on radiation effects in space missions. Vacca collaborates on teaching, including assisting in the course 'Electronic Calculators' for Computer Engineering students. Her recent publications explore AI resilience in RISC-V ecosystems, radiation environment analysis for space missions, and gesture recognition systems for smart cities. She actively contributes to conferences such as the ACM International Conference on Computing Frontiers and the IEEE International Smart Cities Conference.

Ning Aiمشاهده پروفایل

دانشیار

• Urban Sustainability
• Material and Waste Management
• Urban Metabolism
• +۴ مورد دیگر

Ning Ai is an Associate Professor at the University of Illinois Chicago (UIC), holding a joint appointment in the Department of Urban Planning and Policy and the Institute for Environmental Science and Policy. Her expertise lies in urban sustainability, material/waste management, and urban metabolism. She joined UIC in 2011 with a Ph.D. from Georgia Tech, an MIT Master's, and dual bachelor's degrees from Tsinghua University and Renmin University of China. Her research integrates life cycle perspectives and data-driven approaches to environmental planning, emphasizing sustainable transportation and waste management. Notable projects include studies on food recovery programs, electric vehicle battery recycling, and neighborhood-level traffic impact analysis in Chicago. She has served on the ACSP Committee on Diversity and led the Air & Waste Management Association’s Sustainability Division (2020-2022). Teaching spans courses like Environmental Planning and Policy, Urban Economics, and System Methods for Environmental Policy. Her work bridges academia and practice, collaborating with entities like the World Bank and Georgia’s Department of Natural Resources. She leads a team advancing eco-friendly product adoption through projects like PFAS-free food service initiatives. Publications focus on sustainable urban systems, waste management frameworks, and policy design. Her research addresses both broad sustainability challenges and localized solutions, emphasizing interdisciplinary collaboration and community engagement.

Bernhard Rumpeمشاهده پروفایل

استاد

• Software Engineering
• Model-Based Software Engineering (MBSE)
• Domain-Specific Languages (DSLs)
• +۱۶ مورد دیگر

Bernhard Rumpe is a Professor and Chair of Software Engineering at the Department of Computer Science 3, RWTH Aachen University, Germany. He leads a research group focused on model-based software engineering, domain-specific languages, and digital twins, with strong industrial collaborations and applications in embedded systems, AI, IoT, and autonomous vehicles. His research centers on improving software development through model-driven engineering, generative techniques, and formal modeling using UML, SysML, and the MontiCore language workbench. Key interests include digital twins, variability modeling, model composition, and the integration of cyber-physical systems with information systems. The recent publications highlight a consistent focus on model-driven digitalization, language workbenches, and system integration. Trends show increasing emphasis on digital twins in manufacturing and societal systems, formal verification of model transformations, and educational applications of model-driven low-code platforms. His work bridges theoretical foundations with industrial applicability. Keynote Speaker, OOPSLE 2025 General Chair, GPCE 2023 Session Chair, MODELS 2020 Program Committee Member, SLE, GPCE, ICSE, ECMFA He advises master’s and doctoral students and leads a vibrant research team that has successfully executed over 100 research projects. His group develops foundational tools like MontiCore and applies them in industrial contexts, contributing to software quality and developer efficiency. No formal grants are listed, but sustained project funding is evident. He is involved in several research labs and teams centered around the Software Engineering Chair at RWTH Aachen, focusing on language workbenches, model-driven development, and digital twin systems. The team actively contributes to open research through publications, tools, and industrial partnerships.

• Artificial Intelligence
• Battery Technology
• Digitalization
• +۷ مورد دیگر

Prof. Dr.-Ing. Weihan Li is a Junior Professor at RWTH Aachen University, specializing in Artificial Intelligence and Digitalization for Batteries. He is affiliated with the Institute for Power Electronics and Electrical Drives (ISEA) and the Center for Ageing, Reliability, and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL). His research bridges informatics, electrochemistry, and power electronics to advance battery technology through AI. B.Sc. in Automotive Engineering (Tongji University, 2014) M.Sc. in Automotive Engineering and Transport (RWTH Aachen, 2017) Ph.D. in Electrical Engineering and Information Technology (RWTH Aachen, 2021, summa cum laude) Prof. Li’s research focuses on AI-driven battery modeling, diagnostics, and optimization. Key areas include digital twin technology, electrochemical parameterization, and lifetime prediction using field data. He explores multi-scale kinetic processes, thermal management, and mechanical-electrochemical coupling effects in battery systems. The articles listed reflect his leadership in AI-powered battery analytics, spanning degradation prediction, fast charging, failure mode analysis, and grid-scale storage. His work emphasizes both theoretical innovation (e.g., diffusion models, physics-informed neural networks) and practical applications (e.g., second-life battery screening, automotive integration). Clarivate Highly Cited Researcher 2024 BMBF BattFutur Research Group (€2M+) German Thesis Award (Körber Foundation) Reichart Prize vgbe Innovation Prize Battery Young Research Award Umbrella Award RWTH Innovation Award Prof. Li leads an interdisciplinary research group with over €6 million in grants from BMBF, BMWK, BMDV, European Commission, and industry partners. His teams focus on battery informatics, AI-driven diagnostics, and digitalization of testing processes at CARL and ISEA.

• Smart Cities
• Digital Platforms
• Business Models for ICT Systems
• +۴ مورد دیگر

Pieter Ballon is a Full Professor at Vrije Universiteit Brussel (VUB) and Director of imec-SMIT, part of the Studies in Media, Innovation and Technology (SMIT) research group. He holds dual affiliations in Communication Sciences and SMIT. His roles include leadership in interdisciplinary research projects and academic administration. Research expertise focuses on Smart Cities, Digital Platforms, and ICT business models. Key interests include platform urbanism, data ecosystems, and algorithmic systems' societal impacts. He has supervised 122 academic works, including 8 master’s theses listed here. Notable awards include the 1st Brussels Smart City Ambassador (2016-2017) and multiple Best Paper Awards. His work spans over 300 publications and 75 research projects, with active grants like SHALGO (2024-2028) and AMAI 5 (2025-2026). He frequently engages in public debates, academic conferences, and media discussions on topics like algorithmic governance and smart city technologies.

• Computational Fluid Dynamics (CFD)
• Wave Hydrodynamics
• Wave Modeling
• +۹ مورد دیگر

Hans Bihs is a Professor in the Department of Civil and Environmental Engineering, Faculty of Engineering. His research focuses on computational fluid dynamics (CFD), wave hydrodynamics, and wave-structure interaction using the open-source framework REEF3D. Key Research Areas: CFD simulations, wave modeling, floating body dynamics, ocean wave energy, aquaculture hydrodynamics, sediment transport, and high-performance computing. Projects: ERC Consolidator Grant PARTRES (2023-2028), EEA Grants Portugal SurfWave (2023), NFR KPN IPIRIS (2021-2025), EEA Baltic SolidShore (2021-2024), NTNU's MAPLE (2022-2025), and DigiCoast (2021-2024). Email: hans.bihs@ntnu.no His recent publications (2025-2020) analyze fluid-structure interaction, ship-induced waves, floating offshore wind turbines, submerged vegetation, and coastal structures using advanced CFD techniques. Topics include wave hydrodynamics, turbulence, and numerical modeling for marine and aquaculture systems.

Urs Fischbacherمشاهده پروفایل

استاد

• Behavioral Economics
• Experimental Economics
• Game Theory
• +۶ مورد دیگر

Prof. Dr. Urs Fischbacher is a full-time Professor at the Department of Economics at the University of Konstanz, holding the Chair of Behavioral Economics. He is also affiliated with the Thurgau Institute of Economics in Switzerland. Research Focus: Behavioral Economics, Experimental Economics, Game Theory, Social Preferences, Public Goods, Trust and Cooperation, Decision-Making under Stress, and Neuroeconomics. Key Projects: Evaluation of educational interventions in Colombia, analysis of leadership selection in inequality perception, and studies on social pension targeting in Bangladesh. Academic Contributions: His recent articles focus on super-additive cooperation mechanisms, responsibility attribution in decision chains, stress-induced prosociality, and diversity policy impacts. Work spans interdisciplinary collaborations with psychologists and neuroscientists. Contact: Based at the University of Konstanz (Room F315) and Thurgau Institute of Economics. Office hours require appointment via email.