Find Academic Supervisors

Andrei A. LevchenkoView profile

Professor

• International Economics
• Macroeconomics
• Development Economics
• +5 more

Andrei A. Levchenko is the John W. Sweetland Professor of International Economics at the University of Michigan's Department of Economics. He holds affiliations with prominent institutions including NBER, CEPR, and CEBRA, where he directs the International Trade and Macroeconomics Program. His research focuses on international trade, global production networks, business cycle transmission, and the macroeconomic implications of institutional changes. Levchenko's work bridges micro and macroeconomics, analyzing firm-level data to understand aggregate phenomena. Key contributions include studies on global supply chains' role in economic fluctuations, the impact of industrial policy on long-term growth, and the distributional consequences of large devaluations. He has been recognized with the Bhagwati Award and featured in the Economic Report of the President multiple times. His research spans topics such as trade elasticities, inflation dynamics, and the intergenerational trade-offs of pandemic lockdowns. Levchenko collaborates with leading economists globally, producing influential papers in top journals like the American Economic Review and Review of Economic Studies. His Google Scholar profile highlights over 10,000 citations, underscoring his significant impact on modern international economics. Education: Not explicitly listed in the provided materials. Affiliations: NBER Research Associate, CEPR Research Fellow, CEBRA Director of ITM Program. Grants & Awards: Bhagwati Award (2021/2022), multiple NBER/CEPR working papers, and contributions to policy dialogues via IMF and World Bank collaborations.

Moncef KrartiView profile

Professor

• Building Energy Efficiency
• Renewable Energy Systems
• HVAC and Lighting Controls
• +3 more

Moncef Krarti is a Professor in the Department of Architectural Engineering at the University of Colorado Boulder, within the College of Engineering and Applied Science. His professional affiliations include roles as a Professional Engineer (PE) and LEED-AP. Krarti holds a Ph.D. (1987), M.Sc. (1985), and two Diplôme d'Ingénieur degrees (France, 1984/1982). His research focuses on evaluating energy efficiency technologies, optimizing building designs, and analyzing renewable energy systems. Key interests include HVAC controls, building retrofit strategies, and multi-benefit energy programs. Krarti has authored influential textbooks like Energy Audit for Building Systems and Energy Efficient Building Electrical Systems . Recent articles emphasize smart glazing systems, dynamic insulation, and geothermal heat pumps. His work addresses global challenges like urban heat islands and net-zero communities. Krarti has received prestigious awards including ASME Fellow (2015) and a 2023 Fulbright U.S. Scholarship. His research spans residential and commercial sectors, with case studies in Saudi Arabia, France, and the U.S.

Henrik WyschkaView profile

Researcher

• Shape Optimization with Fluid Dynamic Applications
• Algorithms for p-Laplace Problems
• Lipschitz Sequences
• +3 more

Henrik Wyschka is a doctoral researcher and scientific staff member at the University of Hamburg's Department of Mathematics, affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on shape optimization with fluid dynamic applications, algorithms for p-Laplace problems, and Lipschitz sequences. He is part of the DFG Research Training Group 2583, "Modeling, Simulation and Optimization with Fluid Dynamic Applications," under project O3. Education: M.Sc. (2021) and B.Sc. (2019) in Technomathematics from TU Hamburg and University of Hamburg. His work integrates theoretical analysis and numerical methods to advance computational techniques in shape optimization. Key contributions include presentations at major conferences (e.g., IFIP TC7, SIAM, GAMM) and publications on trust-region methods for p-harmonic optimization and high-order descent direction algorithms. His research emphasizes efficient numerical solutions for fluid dynamics-related challenges. Funding: Supported by the DFG through Graduiertenkolleg 2583. Office location: Geomatikum Building, Room 1517. ORCID: 0009-0000-2242-2464 .

Gene CoopermanView profile

Professor

• High-Performance Computing
• Computer Systems
• Transparent Checkpointing
• +4 more

Gene Cooperman is a Professor at the Khoury College of Computer Sciences at Northeastern University, with an affiliation in the College of Engineering. His research focuses on high-performance computing (HPC), transparent checkpoint-restart systems, and model checking. He leads the High Performance Computing Laboratory, where he explores checkpointing technologies like DMTCP, MANA for MPI, and CRAC for CUDA, aiming to enhance HPC workflows on supercomputers such as NERSC's Perlmutter. His work bridges distributed computing, parallel algorithms, and system software to address challenges in fault tolerance, scalability, and resource management. Cooperman has advised 10 PhD students and co-authored over 125 refereed publications, contributing to projects like Geant4-MultiThreaded and Roomy for disk-based computation. His teaching includes courses on computer systems and HPC seminars. Education: Background in computational algebra and parallel computing, transitioning to HPC systems and checkpointing. Research Themes: Transparent checkpointing, MPI agnostic solutions, CUDA integration, and HPC resource optimization. Recent articles emphasize MPI checkpointing, reversible debugging (FReD), and CUDA support, reflecting trends in distributed and GPU-accelerated systems. His grants include NSF, NERSC/DOE, and MemVerge funding. Cooperman collaborates with institutions like CERN and NERSC, advancing applications in particle physics simulations and supercomputing. Current students include Aayushi Gautam, Jiajun Cao, Rohan Garg, and Twinkle Jain.

Aleksandar BojchevskiView profile

Professor

• Trustworthy Artificial Intelligence
• Graph Neural Networks
• Adversarial Robustness
• +3 more

Aleksandar Bojchevski is a full professor of Computer Science at the University of Cologne, leading the Trustworthy Artificial Intelligence Lab (TAIL). His research focuses on developing robust, interpretable, and privacy-preserving machine learning models, particularly graph neural networks (GNNs). The lab emphasizes trustworthiness in high-stakes applications through methods that handle noisy, adversarial, or anomalous data. Bojchevski holds a PhD and PostDoc from the Technical University of Munich, advised by Stephan Günnemann. Previously, he was faculty at CISPA Helmholtz Center for Information Security. His work bridges theory and practice, addressing adversarial robustness, uncertainty quantification, and scalable GNN techniques. Research interests include: robustness certification for GNNs, conformal prediction, adversarial attack analysis, and privacy-aware machine learning. His lab actively collaborates with RWTH Aachen and organizes events like the Learning on Graphs Meet Up. Recent achievements include a teaching award for the Machine Learning lecture (SS 24) and NeurIPS 2024 acceptance of SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors . Open positions are available in his group focusing on trustworthy ML topics. Key labs/teams: Trustworthy Artificial Intelligence Lab (TAIL), Center for Data and Simulation Science (CDS) as a core scientist.

Henri van SoestView profile

Professor

• Artificial Intelligence
• Machine Learning
• AI Governance
• +12 more

Henri van Soest is a Professor of Policy Analysis at the RAND School of Public Policy and a Senior Analyst at RAND Europe. He is based at RAND, a global policy research organization, where he leads studies on energy security, artificial intelligence governance, critical infrastructure protection, and European Union policy. His work supports key institutions including the European Union, UK government, and Dutch government. His research focuses on the intersection of technology and policy, particularly in energy systems and AI. Key areas include: AI governance and trustworthy AI tools Energy security and digitalisation of the power grid Critical undersea infrastructure protection Cybersecurity in energy systems Space technology regulation Societal resilience and national security The trend in his recent publications shows a growing emphasis on the dual-use nature of AI in critical infrastructure, balancing innovation with security and resilience. His work combines technical analysis with policy recommendations, often using modeling and expert elicitation. Much of his research addresses transatlantic and European policy challenges, especially in energy and security domains. Scientific contributions and policy impact are evident through frequent publications and expert submissions to governmental bodies. Notable outputs include evidence submissions to the UK Parliament and reports for the U.S. Department of Energy. While no formal awards are listed, his influence is reflected in high-level policy engagement. He has advised on grants and policy studies involving global teams, particularly in energy transition, AI infrastructure, and resilience planning. His prior experience includes energy policy research at the University of Oslo, cleantech analysis, and corporate governance in banking. He holds a Ph.D. from the University of Cambridge and a joint LL.M. from KU Leuven and the University of Zurich. Henri van Soest leads research within RAND Europe’s multidisciplinary teams focusing on science, technology, and security policy. His work often involves collaboration across international experts and institutions, particularly on EU and NATO-related security issues. He contributes to projects involving horizon scanning, Delphi studies, and quantitative modeling in policy contexts.

Sheryl Staub-FrenchView profile

Professor

• Building Information Modeling (BIM)
• Virtual Design and Construction (VDC)
• Integrated Project Delivery (IPD)
• +7 more

Dr. Sheryl Staub-French is a Professor and Head (Pro Tem) in the Department of Civil Engineering at the University of British Columbia (UBC), Faculty of Applied Science. She directs the BIM TOPiCS Lab, focusing on digital delivery methods for sustainable construction using BIM. Her research spans over 100 publications in BIM, VDC, and collaboration frameworks. She previously served as Associate Dean of Equity, Diversity, and Inclusion (EDI), advancing inclusive practices in engineering education. She holds a BS from Santa Clara University and MS/PhD from Stanford University. Her research interests include BIM implementation challenges, design coordination, 4D visualization, and sustainable construction innovation. She teaches courses like CIVL 300 (Construction Engineering), CIVL 426 (Virtual Design and Construction), and advanced BIM topics. Her lab collaborates with industry/government to develop BIM guidelines and tools. Notable projects include UBC’s Brock Commons Tall Wood Building and studies on IPD adoption barriers in Canada. Her work bridges academia and industry, emphasizing digital transformation and EDI. She has pioneered BIM-based methods for facility management and energy modeling, addressing gaps in information quality and handover processes. Her contributions span policy development, tool innovation, and educational reforms to enhance construction sector efficiency and inclusivity.

Inga BerreView profile

Professor

• Applied Mathematics
• Geothermal Energy
• Porous Media
• +3 more

Inga Berre is a Professor at the Department of Mathematics, University of Bergen, and serves as Director of the Center for Modeling of Coupled Subsurface Dynamics (CSD). She leads the Porous Media Research Group and was appointed Argyris Visiting Professor at the University of Stuttgart's SimTech Cluster of Excellence in 2023. Research Interests: Mathematical modeling, partial differential equations, numerical methods for coupled thermo-hydro-mechanical-chemical processes in subsurface systems, and fault reactivation induced by injection/production. Scientific Leadership: Member of SIAM Council (2022-2027), Chair of SIAM GS activity group (2021-2022), Co-Chair of SET-Plan Deep Geothermal Implementation Working Group (2019-2021), and Chair of the Joint Program Geothermal, European Energy Research Alliance (2018-2021). Awards: 2011 Meltzer Award for Young Researchers. Advisory Roles: Member of Scientific Advisory Boards for GFZ (2024-2027) and SFB1313 (2018-), among others. Teaching: Developed courses on calculus, functional analysis, mathematical modeling, and numerical methods at the Bergen Summer Research School.

• Cybersecurity
• Maritime Cyber Risk Assessment
• Dynamic Positioning Systems
• +12 more

Pelin Bolat is an Associate Professor in the Department of Fundamental Sciences at Istanbul Technical University (ITU), College of Maritime Studies. She is actively engaged in maritime cybersecurity, risk assessment, and maritime safety research. Her work is supported by multiple BAP and EU-funded projects, with ongoing research extending into 2025. Her research interests include cybersecurity in maritime navigation systems, dynamic positioning, port state control, and GHG emissions in the maritime sector. She applies advanced methodologies such as fuzzy FUCOM, CORAS framework, and association rule mining to analyze cyber and operational risks. Her recent publications (2023–2025) reflect a strong trend in maritime cybersecurity, focusing on ECDIS, RADAR, ransomware, and cyber hygiene. These works span high-impact journals in maritime engineering and technology, demonstrating interdisciplinary engagement with computer science, safety engineering, and policy analysis. She serves as a principal investigator on several key projects, including cyber risk assessment of bridge navigation equipment and system dynamic modeling of maritime GHG emission measures. She also mentors 15 theses in progress, indicating her active role in student supervision. Her collaborative network includes researchers like Gökhan Kayişoğlu and international partners. While no formal awards are listed, her leadership in EU and BAP projects underscores her academic prominence.

Berat Z. HaznedaroğluView profile

Assistant Professor

• Environmental Microbiology
• Environmental Biotechnology
• Systems Biology
• +7 more

Berat Z. Haznedaroğlu is an Assistant Professor at the Institute of Environmental Sciences, Bogazici University, Istanbul, where he has been serving since 2014. He previously held an Assistant Professor position at the Department of Civil, Structural, and Environmental Engineering, University at Buffalo, New York (2012–2014), and completed postdoctoral training at Yale University. His research is highly interdisciplinary, bridging environmental engineering, microbiology, and biotechnology. Education: Postdoctoral, Chemical and Environmental Engineering, Yale University, USA (2012) PhD, Chemical and Environmental Engineering, University of California-Riverside, USA (2010) MS, Civil and Environmental Engineering, Villanova University, USA (2005) BS, Biology, Middle East Technical University, Turkey (2003) His research interests include Environmental Microbiology , Microalgae Functional Genomics , Systems Biology , and the Fate and Transport of Pathogens . He is particularly known for his work on microalgae-based solutions for wastewater treatment, biofuel production, and space life support systems. His lab explores the integration of algae-bacteria consortia for sustainable biorefineries and environmental remediation. The recent publications reflect a strong trend toward applied environmental biotechnology, with emphasis on microalgae applications in wastewater treatment, high-value product recovery (e.g., phycocyanin), and thermal processing effects on algal nutritional quality. The work spans from fundamental metabolic pathway analysis to real-world implementation in biorefineries and space missions. Scientific Awards and Grants: INDEPENDENT Project (€6.9M, 2019–2024) – Integrated Biorefinery for Bioeconomy MICRO-JET Project ($448K, 2020–2023) – Algae-Based Bio-Jet Fuel VirALGin Project ($185K, 2022–2024) – Algae-Derived SARS-CoV-2 Inhibitors UzMAn Project ($65K, 2023–2024) – Microalgal Life Support for Space Renew-IST Project ($521K, 2022–2023) – Renewable Energy Center in Istanbul Dr. Haznedaroglu leads a dynamic research group with multiple funded projects and collaborative networks across institutions in Turkey and the U.S. He advises graduate students and has co-authored several book chapters and journal articles with junior researchers. His work is supported by major national and international funding bodies including TUBITAK, TUBITAK-Uzay, and the Ministry of Industry and Technology. Future research directions include closed-loop life support systems for space habitats and commercial-scale algal biorefineries. Laboratories and Research Platforms: His team operates within the CBE Institute at Bogazici University, utilizing facilities for microbial culturing, genomics, and environmental analysis. The INDEPENDENT and UzMAn projects involve advanced bioreactor systems and space-simulated environments.

Jia ZhangView profile

Professor

• Machine Learning
• Natural Language Processing
• Information Retrieval
• +10 more

Dr. Jia Zhang is the Inaugural Robert H. Dedman Jr. Endowed Department Chair and Professor of Computer Science at Southern Methodist University (SMU Lyle School of Engineering). She holds the Cruse C. and Marjorie F. Calahan Centennial Chair in Engineering and has a courtesy appointment in the Department of Operations Research and Engineering Management. Her research focuses on applying machine learning, natural language processing, and information retrieval to data science infrastructure, particularly scientific workflows, provenance mining, software discovery, knowledge graphs, cloud computing, immune AI, and applications in earth science and healthcare. Education: Ph.D. in Computer Science, University of Illinois at Chicago M.S. in Computer Science, Nanjing University B.S. in Computer Science, Nanjing University Dr. Zhang's work emphasizes data science infrastructure and machine learning for scientific workflows and knowledge graphs. Her recent publications highlight deep learning , graph neural networks , and optimization algorithms in cloud computing, cybersecurity, and environmental applications. Key trends include spatiotemporal modeling , hybrid neural architectures , and AI-driven service ecosystems . Scientific Awards: Best Paper Awards IEEE SCC (2011, 2017) Best Student Paper Awards IEEE ICWS (2014, 2018), IEEE ICCC (2018) Distinguished Paper Award ICSOC (2023) First Outstanding Service Award IEEE Technical Committee on Services Computing (2016) She has secured over $5 million in federal grants (as PI) and $11 million as PI/Co-PI from NSF, NASA, NIH, UTSW, Ericsson, SAP, and Google. Her lab (Caruth Hall 308) actively recruits research assistants. She previously served as a faculty member at Carnegie Mellon University, Northern Illinois University, and Nanjing University, and worked in industry as a software architect.

• High-Performance Computing
• Reconfigurable Computing
• FPGA Acceleration
• +7 more

Carlos Alvarez Martinez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture at the Barcelona School of Informatics (FIB). He is a key member of the Programming Models (PM) research group and collaborates closely with the Barcelona Supercomputing Center (BSC). His research focuses on high-performance computing, FPGA acceleration, task-based programming models like OmpSs, and hardware-software co-design for heterogeneous systems. His research interests center on advancing parallel computing through innovative programming models and hardware acceleration. He investigates efficient task scheduling, resource management in multicore and FPGA-based systems, and runtime support for dataflow models. His work enables high-performance execution of complex applications in domains such as scientific computing and cyber-physical systems. He actively contributes to European initiatives like TEXTAROSSA and AXIOM, aiming to develop next-generation exascale supercomputing technologies. The trend in his recent publications shows a strong focus on leveraging FPGAs for HPC, optimizing SpMV operations, improving task scheduling with hardware support, and developing frameworks for multi-FPGA clusters. His work consistently bridges theoretical models with practical implementations, emphasizing performance, scalability, and energy efficiency in heterogeneous computing environments. Scientific Awards: Premi UPC al Compromís Social 2019 Premi Disseny per al Reciclatge 2013 Alvarez Martinez has advised or collaborated with several doctoral students, including Jaume Bosch, Xubin Tan, and Fahimeh Yazdanpanah. He has been involved in numerous competitive R&D projects, often related to high-performance computing and parallel programming models. His work includes significant contributions to educational innovation, particularly in active learning methodologies and formative assessment using interactive systems. He leads and participates in research labs and teams focused on programming models and computer architecture, notably the PM group at UPC/BSC. These teams develop runtime systems, compilers, and hardware accelerators to push the boundaries of parallel computing efficiency and programmability.

Mikael B. SkovView profile

Professor

• Human-Computer Interaction
• Artificial Intelligence
• Robotics
• +6 more

Mikael B. Skov is a Vice Dean and Professor at the Technical Faculty of IT and Design of Aalborg University , Denmark. His research spans human-AI interaction, robotics, and user experience, with a focus on trust signaling in clinical AI, swarm robotics, and sound zones for domestic environments. Role: Vice Dean for Research Department: Computer Science Research Interests: Skov investigates how humans interact with AI and robots in healthcare and domestic settings, emphasizing trust calibration, alert design, and acoustic comfort. His work includes developing frameworks for UX maturity in robotics organizations and studying long-term adoption of sound zone systems. Recent Projects: As principal/co-investigator, he leads the HERD project on human-AI collaboration in robot swarms (2021–2025) and supervises Data og Bæredygtig Mad (2020–2023), an HCI perspective on sustainable food systems. Publications: His 2024 work includes studies on AI explanations in clinical training, music applications with intermittent interactions, and multi-robot supervision. Earlier projects (2001–2020) focused on mobile device usability, UX practices, and context-aware computing.

Konstantinos KarapiperisView profile

Assistant Professor

• Solid Mechanics
• Multiscale Modeling
• Data Science
• +7 more

Konstantinos Karapiperis is a Tenure Track Assistant Professor at EPFL's Laboratory of Multiscale Modeling of Materials (LMD), within the School of Architecture, Civil and Environmental Engineering (ENAC). His research integrates mechanics , multiscale modeling , and data science to study geomaterials and structural materials. PhD in Applied Mechanics (minor in Applied Mathematics), Caltech Postdoctoral Researcher & Lecturer, ETH Zürich (Marie Skłodowska-Curie Fellowship) Research focuses on granular materials , architected materials , and nonlocal modeling using techniques like Level-Set Discrete Element Method (LS-DEM) and machine learning . Recent work explores fracture control via graph neural networks and thermodynamics-informed models. Selected scientific award: Marie Skłodowska-Curie Fellowship Teaches courses in Soil Mechanics and Multiscale Modeling . PhD students include Thomas Henzel and Hrishikesh Gopakumar Menon. His Data-Driven Mechanics Laboratory (LMD) develops predictive tools for granular and structured material behavior.

Maarten HornikxView profile

Professor

• Building Acoustics
• Computational Sound Propagation Modeling
• Mixed Reality Sound Reproduction
• +4 more

Maarten Hornikx is a Full Professor in Building Acoustics at the Department of the Built Environment , Eindhoven University of Technology. He serves as Vice-Dean of the department, leads the Building Acoustics Chair of Unit Building Physics and Services (BPS), and coordinates the Science of Sound and Music course series since 2013. His research focuses on computational modeling of sound propagation in built environments, with applications in mixed reality platforms and numerical analysis of outdoor/indoor propagation effects like vegetation and meteorological influences. Education : PhD in Applied Acoustics (Chalmers University of Technology, 2009); MSc in Architecture, Building and Planning (2004) Hornikx promotes open research software in acoustics and has received multiple grants, including Marie Curie Individual and Career Integration Grants. His recent publications explore AI-driven diffusion equation modeling, acoustic absorber optimization, and advanced numerical methods like the discontinuous Galerkin technique. He has held international leadership roles, including chairing the Computational Acoustics Technical Committee of the European Acoustics Association and serving as Associate Editor for Acta Acustica . Scientific Awards : Marie Curie Fellowship (2009-2011); Marie Curie Career Integration Grant (2012); 4TU.Built Environment Center Scientific Director (2020-2021); eScience Center Fellow (2022) As a research leader, Hornikx guided the H2020-ITN Acoutect project and conducted sabbaticals at Aalto University, Stockholm University (2018), and Politecnico Torino (2022). His group emphasizes computational acoustics and open-source tools to enhance reproducibility and collaboration.