Find Academic Supervisors

Kiran T. ThakurView profile

Associate Professor

• Neuroinfectious Diseases
• Neuroimmunology
• Global Health
• +6 more

Dr. Kiran T. Thakur serves as the Herbert Irving Associate Professor of Neurology at Columbia University Irving Medical Center and practices as an inpatient neurologist at NewYork-Presbyterian/CUIMC. Her clinical expertise spans neuroinfectious diseases, neuroimmunology, emergency neurology, and global health, with active clinical and research engagements across eight countries in Africa, Southeast Asia, and the Caribbean. She holds leadership roles including Neurology Clerkship Director at Perdana University Graduate School of Medicine (Malaysia) and serves as a neurology consultant for the World Health Organization. Her educational background includes an MD from Tufts University School of Medicine (2008), internship at Johns Hopkins Hospital's Osler Medical Service, neurology residency at Harvard's Brigham & Women's Hospital (where she served as chief resident), and fellowship in neuroinfectious disease/neuroimmunology at Johns Hopkins Hospital. She is additionally pursuing a Master of Science in clinical trials at the London School of Tropical Medicine and Hygiene. Dr. Thakur's research program focuses on improving detection and management of neuroinfectious diseases in hospital settings, with particular emphasis on vulnerable populations including HIV-positive individuals and immigrants. Her work integrates clinical, translational, and implementation science approaches to address cerebral malaria, tuberculous meningitis, Zika-related complications, and SARS-CoV-2 neurological outcomes. Current projects investigate novel diagnostics for infectious meningoencephalitis, risk factors for neuroinvasive infections, and therapeutic strategies for viral encephalitis. Analysis of her 15 most recent publications reveals consistent focus on neuroinfectious disease epidemiology (particularly in resource-limited settings), diagnostic challenges in immunocompromised patients, and global health implementation strategies. Her work prominently features Zika virus complications, tuberculous meningitis management, and CNS infections in travelers, reflecting her dual expertise in tropical medicine and neuroimmunology. Scientific recognition includes: Lewis P. Rowland Teaching Award (Columbia University, 2016) CDC Nakona Citation Award (2014) Dr. Thakur directs the NIH NINDS K23-funded study on pathogen identification in neurological infections (2018-2023) and leads Columbia's post-doctoral neuroinfectious disease fellowship for physician-scientists from low/middle-income countries. Her research program receives support from the NIH, World Federation of Neurology, and American Academy of Neurology, with implementation studies conducted in collaboration with WHO, PAHO, and CDC. The Thakur Laboratory at Columbia's Neurological Institute coordinates international research networks across Malawi, Vietnam, Bangladesh, Uganda, and the Dominican Republic. Her team conducts clinical trials on antimicrobial dosing, develops diagnostic algorithms for resource-limited settings, and implements training programs to build neuroinfectious disease capacity in underserved regions, with current emphasis on SARS-CoV-2 neurological sequelae and tropical disease management.

Abolfazl AsudehView profile

Associate Professor

• Algorithm Design
• Data Science
• Artificial Intelligence
• +4 more

Abolfazl Asudeh is an Associate Professor in the Department of Computer Science at the University of Illinois Chicago and director of the Innovative Data Exploration Laboratory (InDeX Lab) . He is a Senior Member of ACM and IEEE , serving as Associate Editor for IEEE Transactions on Knowledge and Data Engineering , VLDB Ambassador , and VLDB Endowment Liaison to NSF . His research focuses on Algorithm Design for Data and AI problems , emphasizing efficient, accurate, and responsible solutions through Approximation Algorithms , Randomized Methods , and Computational Geometry . Recent work explores LLM optimization ( Needle ), fair data structures ( FairHash ), and responsible AI frameworks ( Chameleon ). Scientific awards include Communications of the ACM Research Highlight Google Research Scholar Award SIGMOD 2019 Research Highlight Best of VLDB 2020 SIGMOD 2017 Reproducibility Award Grants: NSF IIS-2348919 (2024-2027): Fairness-aware Data Structures NSF IIS-2107290 (2021-2024): Collaborative Fairness Research The InDeX Lab develops systems like Needle (image retrieval) and RSR (matrix multiplication). His work integrates fairness , reliability , and computational efficiency across data structures , LLMs , and responsible AI implementations.

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +6 more

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

• International Higher Education
• Academic Partnerships
• Collaborative Programmes
• +2 more

Thomas Greenough serves as the Head of International Academic Development at The Glasgow School of Art (GSA), providing academic leadership in internationalisation initiatives since returning to the institution as staff in 2013. A GSA graduate himself (Fine Art, 1993), he bridges institutional history with contemporary global academic strategy. His educational background: Bachelor of Fine Art, The Glasgow School of Art (1993) Greenough's research centers on transforming international higher education through: Strategic academic partnership development across continents Design and implementation of collaborative educational programmes In-country delivery models for creative education Academic relationship-based international recruitment Research and knowledge exchange frameworks As a PGR supervisor, Greenough mentors students exploring internationalisation of creative pedagogy while leveraging his leadership role to secure partnership-driven research funding and collaborative projects that enhance GSA's global footprint.

Lisa Wu WillsView profile

Assistant Professor

• Computer Architecture
• Hardware-Software Co-design
• Hardware Accelerators
• +6 more

Lisa Wu Wills is an Assistant Professor in the Department of Computer Science and Electrical and Computer Engineering at Duke University, leading the APEX Lab (Application-driven Programmable Efficient Accelerated Systems Lab). Her research focuses on hardware acceleration for big data analytics in genomics, graphs, and databases to advance healthcare and natural sciences. Education: Ph.D. in Computer Science, Columbia University, 2014 Research Interests: Dr. Wills pioneers computer architecture and hardware-software co-design to create efficient accelerators for emerging applications. Her work targets genomics , graph analytics , and database systems , emphasizing simplified hardware deployment and energy efficiency for scientific breakthroughs in healthcare and AI. Publication Trends: Her 2022-2025 publications reveal a strong focus on open-source frameworks (Beethoven, PyTFHE) for accelerator development, hardware acceleration in privacy-preserving computing, and optimization for large language models. Key themes include transfer learning for EDA, domain-specific architectures for genomics, and energy-efficient image processing. Scientific Awards: Google ML and Systems Junior Faculty Award (2025) Advising and Grants: Dr. Wills mentors three PhD students: Chris Kjellqvist (Beethoven framework architect), Mason Ma (PyTFHE lead for FHE applications), and Mansi Choudhary (COCOSSim simulator creator). Her 2025 Google award funds research on accelerating vector databases and retrieval-augmented generation for LLMs. Labs and Teams: She directs the APEX Lab at Duke, developing tools like Beethoven (open-source accelerator composer) and PyTFHE for hardware-software integration, enabling domain scientists to leverage custom acceleration with minimal hardware expertise.

Shiqing (Frank) YaoView profile

Senior Lecturer

• Supply Chain Management
• Operations Management
• Responsible Operations
• +5 more

Shiqing (Frank) Yao is a Senior Lecturer in Operations Management at the Department of Management, College of Business, Monash University. Holding a PhD in Decision Sciences and Managerial Economics from the Chinese University of Hong Kong, Dr. Yao's research focuses on analytical modeling approaches to supply chain management challenges. PhD - Chinese University of Hong Kong (Operations Management) His primary research interests include economic modeling in supply chains, quality management, collusion dynamics, and optimization strategies. Dr. Yao's work aligns with multiple UN Sustainable Development Goals, particularly those related to responsible consumption and production. Recent research outputs demonstrate expertise in anti-counterfeiting strategies, collusion risk mitigation, and sustainable operations. His publications cover topics ranging from digital transformation in retail to responsible audit systems. Scientific Awards: M&SOM Meritorious Service Award (2020) Dr. Yao maintains active editorial roles with leading journals including Operations Research, Management Science, and Transportation Research Part E. He is currently accepting PhD students for supervision.

Andrea BastoniView profile

Research Fellow

• Real-Time Systems
• Cyber-Physical Systems
• Operating System Design
• +5 more

Dr. Andrea Bastoni is a Postdoctoral Researcher and Research Fellow at the Chair of Cyber-Physical Systems in Production Engineering at Technical University of Munich (TUM), Faculty of Mechanical Engineering. He is also the CTO and co-founder of Minerva Systems , developing operating system solutions for AI-ready embedded applications. His expertise spans real-time operating systems, cyber-physical systems, and predictable system design for heterogeneous platforms. His research focuses on enhancing predictability of memory hierarchies in complex SoCs through techniques like memory bandwidth regulation and cache partitioning. This work has industrial applications in safety-critical domains such as avionics and railways, where he contributes to certifiable hypervisors and operating systems. As former Software Architect of the PikeOS hypervisor at SYSGO GmbH (2012-2020), he specialized in DO-178C, IEC 61508, and EN 50128 standards. His academic background includes a Ph.D. in Computer Engineering from the University of Rome Tor Vergata (2007-2011), where he developed LITMUS^RT as part of UNC's Real-Time Systems Group during a visiting researcher period (2009-2010). His publications reflect ongoing work on Multicore Real-Time Scheduling , Mixed-Criticality Task Isolation, and Arm DynamIQ shared unit analysis. He actively participates in program committees for conferences like RTSS, DSN, and DATE.

Elisabet LangmannView profile

Associate Professor

• Educational Philosophy
• Didactics
• Ethics in Education
• +5 more

Elisabet Langmann serves as Associate Professor and Department Head at Södertörn University, Sweden, specializing in Teacher Training with research bridging educational philosophy and classroom practice. Her work critically examines ethical dimensions of schooling and democratic values implementation. Langmann holds a PhD in Educational Philosophy from Örebro University (2013), where her dissertation explored pedagogical approaches to teaching tolerance while avoiding student marginalization. Her academic journey reflects deep engagement with continental philosophy and didactic theory. Her research centers on ambiguities in democratic values (tolerance, justice, responsibility) and their classroom implications, investigating how value conflicts manifest and how supportive teaching climates emerge. Methodologically, she integrates empirical classroom observations with philosophical analysis, drawing from phenomenology and critical theory to examine sensory, affective, and ethical dimensions of learning environments. Analysis of her 2021-2025 publications reveals three evolving trajectories: sustainability education exploring climate change pedagogy; sensory-phenomenological approaches to classroom climate; and continued refinement of tolerance education frameworks. These strands converge in examining how affective dissonance and bodily experiences shape ethical learning. Langmann actively secures research funding including two Swedish Research Council projects (2020-2023): as project leader for "Forms of Upbringing" investigating bodily dimensions in value conflict resolution, and as co-investigator in "How can schools reduce unequal educational opportunities?" examining school culture in disadvantaged areas. She mentors junior researchers through international networks rather than formal student supervision. She contributes significantly to academic infrastructure as board member of the Nordic Society of Philosophy of Education, co-convenor for NERA/EERA educational philosophy networks, and peer reviewer for 12+ journals including Studies in Philosophy and Education. Her leadership extends to international research collectives like PEDST and SCAPE, focusing on democratic sustainability transitions and cultural conflicts in education.

Carolin VollenbergView profile

Research Fellow

• Business Process Management
• Digital Transformation
• Process Mining
• +3 more

Dr. Carolin Vollenberg serves as a Post-Doctoral Researcher at the Chair of Information Systems & Transformation Management within the Faculty of Computer Science at the University of Duisburg-Essen (UDE). Her academic journey includes a PhD from the University of Muenster (2021-2025), an M.Sc. in Technical Consulting and Management from Hochschule Hamm-Lippstadt (2018-2020), and a B.Eng. in Biomedical Technology from the same institution (2014-2018). Prior to her current position, she worked as a Research Assistant at South Westphalia University of Applied Sciences and gained industry experience at Zapp Systems GmbH. PhD in Business Informatics (2021-2025), University of Muenster M.Sc. Technical Consulting and Management (2018-2020), Hochschule Hamm-Lippstadt B.Eng. Biomedical Technology (2014-2018), Hochschule Hamm-Lippstadt Research Focus: Vollenberg specializes in the governance of lightweight IT systems, digital transformation in public and healthcare sectors, and process mining applications. Her work bridges technical implementation with organizational behavior, particularly examining resistance to automation in sensitive domains like healthcare. She investigates how organizations navigate unintended consequences of technology adoption, with emphasis on RPA (Robotic Process Automation), omnichannel transformation, and data-driven process optimization. Her research methodology combines ethnographic field studies with quantitative process analysis. Publication Trends: Analysis of her 16 publications (2020-2025) reveals strong focus on healthcare IT (45% of works), public sector digitalization (30%), and foundational process management (25%). Recent output shows increasing emphasis on ethical dimensions of process mining and sustainability applications. Her collaborative work spans multiple European institutions with consistent publication in top IS conferences (ICIS, ECIS, HICSS). Best Paper nomination at HICSS-55 (2022) Associate Editor for General Track at Internationale Tagung Wirtschaftsinformatik (WI) 2025 Professional Engagement: Vollenberg actively contributes to academic discourse through editorial roles and peer review. Her industry collaborations with healthcare providers and public sector entities demonstrate applied research impact. Current projects examine virtual nursing transformations and crisis-responsive RPA implementations, reflecting her commitment to solving real-world operational challenges through information systems innovation.

Jonathan CullenView profile

Professor

• Resource Efficiency
• Circular Economy
• Decarbonization
• +3 more

Jonathan Cullen is Professor of Sustainable Engineering at the University of Cambridge and President of Fitzwilliam College, specializing in resource efficiency and decarbonization through top-down analysis of industrial material and energy systems. His work bridges academic research with industry applications across energy-intensive sectors. Education: Bachelor's in Chemical and Process Engineering, University of Canterbury, New Zealand MPhil in Engineering for Sustainable Development, University of Cambridge PhD in Engineering Fundamentals of Energy Efficiency, University of Cambridge His research develops metrics for quantifying energy and material consequences of production systems, focusing on circular economy implementation, minimum energy requirements, and zero-carbon transition pathways. Key applications target cement, steel, plastics, and petrochemicals where he pioneers methods like exergetic analysis and material flow accounting to expose carbon lock-ins and circularity opportunities. Recent publications reveal three dominant trends: (1) Frameworks for theoretical minimum energy requirements across industrial processes, (2) Geopolitical analysis of critical mineral flows and ownership structures, and (3) Circular economy metrics for plastics and construction materials. These consistently employ system-scale modeling validated through industry partnerships. Research Funding: Lead: C-THRU ($4M, VKRF) - carbon clarity in petrochemical supply chains Co-I: UK FIRES (£5.2M, EPSRC) - industrial decarbonization program Co-I: CirPlas (£1.25M, UKRI) - plastic waste elimination 7+ projects (EPSRC, Innovate UK, Horizon 2020) Academic Leadership: Teaching: Energy Systems and Policy (MPhil in Energy Technologies) Undergraduate supervision in Materials/Mathematics Graduate Tutor at Fitzwilliam College IPCC AR6 Lead Author (Industry Chapter) He directs the Resource Efficiency Collective, which develops open-source tools like Mat-dp for material demand projections and Starter Data Kits for energy planning. Current work focuses on scaling circular business models for construction retrofitting and quantifying geopolitical risks in critical mineral supply chains.

Ulla LiukkunenView profile

Professor

• Labour Law
• Private International Law
• Comparative Law
• +2 more

Ulla Liukkunen is a Professor of Labour Law and Private International Law at the University of Helsinki's Faculty of Law. She also serves as a Docent at the University of Helsinki and is affiliated with the Helsinki Institute of Sustainability Science (HELSUS). Professor Liukkunen has held significant leadership roles including Director of the Center of Chinese Law and Chinese Legal Culture until 2022 and has been actively involved in numerous research projects funded by the Finnish Academy and other organizations. Professor Liukkunen's primary research interests focus on Labour Law, Private International Law, Comparative Law, Transnational Law, and Sustainability Law. Her work particularly examines the intersection of labour rights with international legal frameworks, with special attention to Chinese labour law and Nordic perspectives. She has made significant contributions to understanding collective bargaining systems, decent work standards, and the role of the International Labour Organization in global governance. Analysis of Professor Liukkunen's recent publications reveals a consistent focus on transnational labour governance, private international law applications to labour issues, and comparative analyses of labour law systems. Her work increasingly addresses contemporary challenges such as platform work, global value chains, and sustainability dimensions of labour regulation. There is a notable emphasis on bridging theoretical frameworks with practical policy implications, particularly in European and Chinese contexts. Professor Liukkunen has received significant recognition for her scholarly contributions: Member of the Finnish Academy of Science and Letters (2022) First Class Knight of the Order of the White Rose of Finland (2016) Professor Liukkunen has supervised numerous doctoral students and has been involved in significant research projects throughout her career. She has led Finnish Academy-funded research projects on international labour law and comparative labour law, as well as private international law. Her projects include 'Relevant Problems and Perspectives for the Development of International Private Law in Modern Conditions' (2023-2026), 'Employee Participation and Collective Bargaining in the Era of Globalization – Nordic and Chinese Perspectives' (2013-2016), and 'ILO Core Labour Standards Implementation in China: Legal Architecture and Cultural Logic' (2012-2015). Professor Liukkunen is actively involved with the Helsinki Institute of Sustainability Science (HELSUS) and has played key roles in establishing the Finnish Center of Chinese Law and Chinese Legal Culture. She has served in numerous advisory capacities including as a member of the Finnish Committee for Confirming the General Applicability of Collective Agreements, the Market Court until 2022, and as Vice Member of the Labour Court. Internationally, she serves as Vice Chair of the Mediation Board of the European Labour Authority and is a member of the European Centre of Expertise in the Field of Labour Law.

Daniele VenturiView profile

Professor

• Stochastic modeling
• Uncertainty quantification
• Numerical analysis
• +7 more

Daniele Venturi is a Professor of Applied Mathematics at the University of California, Santa Cruz, where he has been faculty since 2015, rising from Assistant Professor to full Professor by 2021. Previously, he was a Research Assistant Professor at Brown University from 2010-2015. His academic journey began at the University of Bologna, where he earned both his combined B.S./Sc.M. in Mechanical Engineering (2002) and Ph.D. in Applied Physics with a focus on thermo-fluid dynamics (2006). University of Bologna: B.S./Sc.M. Mechanical Engineering (2002), Ph.D. Applied Physics (2006) Brown University: Research Assistant Professor (2010-2015) UC Santa Cruz: Assistant to Associate to Full Professor (2015-present) Professor Venturi's research spans multiple cutting-edge areas in computational mathematics. His primary interests include stochastic modeling and uncertainty quantification, numerical tensor methods for high-dimensional PDEs, data-driven modeling approaches, approximation of functional-differential equations, and theoretical/computational fluid dynamics. His work bridges theoretical mathematical frameworks with practical computational implementations, particularly focusing on overcoming the curse of dimensionality in complex systems. His recent research has been heavily focused on hierarchical tensor methods for solving high-dimensional partial differential equations. The analysis of his publication record reveals a strong emphasis on developing computational frameworks that address high-dimensional challenges in uncertainty quantification and model reduction. His work frequently intersects machine learning techniques with traditional numerical methods, particularly in developing physics-informed neural networks and multifidelity modeling approaches. A consistent theme across his publications is the development of mathematical frameworks that maintain computational tractability while preserving physical fidelity in complex systems. Professor Venturi has secured substantial research funding from major agencies including the Air Force Office of Scientific Research (AFOSR), Department of Energy (DoE), National Science Foundation (NSF), Army Research Office (ARO), and Defense Advanced Research Projects Agency (DARPA). His most significant current grant is a 2024-2029 AFOSR MURI award totaling $7.5M as co-PI for 'Tensor Network for simulating kinetic systems.' 2024-2029: AFOSR MURI, $7.5M (co-PI) 2023-2027: DoE, $3.8M (co-PI) 2023-2026: AFOSR, $2.5M (co-PI) 2020-2025: NSF TRIPODS, $2.3M (co-PI) At UC Santa Cruz, Venturi teaches a range of courses including Fundamentals of Uncertainty Quantification, Applied Dynamical Systems, Nonlinear Dynamical Systems, and Numerical Methods for Differential Equations. His teaching spans both undergraduate and graduate levels, reflecting his expertise across theoretical and computational mathematics. His lecture notes for these courses are publicly available and demonstrate his commitment to pedagogical excellence in complex mathematical subjects.

Moinuddin QureshiView profile

Professor

• Computer Architecture
• Memory Systems
• Hardware Security
• +1 more

Moinuddin Qureshi is a Professor of Computer Science at Georgia Institute of Technology, affiliated with the School of Computer Science and involved in the Online Master of Science in Computer Science (OMSCS) program. He holds a Ph.D. and M.S. from the University of Texas at Austin. His research focuses on computer architecture, memory systems, hardware security, and quantum computing, with notable contributions to mitigating rowhammer vulnerabilities and advancing quantum error correction. Previously, he was a Research Staff Member at IBM T.J. Watson Research Center (2007–2011), where he contributed to caching algorithms for Power-7 processors. He has held leadership roles, including Program Chair of MICRO 2015 and Selection Committee Co-Chair of Top Picks 2017. His work has been recognized with prestigious awards, including the 2019 Persistent Impact Prize and multiple best paper awards. Key research areas include secure memory design (e.g., rowhammer mitigation techniques like MINT and Moat), quantum computing (e.g., Flag-Proxy Networks and Élivágar), and hardware vulnerability analysis (e.g., Roguerfm attacks and COAXIAL memory systems). His publications span 2009–2025, addressing topics like error correction, secure tracking, and quantum annealing optimization. Awards include membership in ISCA, MICRO, and HPCA Hall of Fame, alongside contributions to conferences like HiPC and IEEE MICRO. His work bridges theoretical advancements with practical implementations in both classical and quantum domains.

Harald Van HeerdeView profile

Research Professor

• Marketing Management
• Branding and Brand Equity
• Econometrics
• +8 more

Harald Van Heerde is a Research Professor of Marketing at the University of New South Wales, Sydney, within the UNSW Business School's Department of Marketing. He holds roles as Editor of the Journal of Marketing and Executive Vice-Chairman/Program Director of the Marketing Science Hub at AiMark. His academic career includes positions at Maastricht University, the University of Waikato, Tilburg University, and Massey University. Education: Ph.D. in Economics (Cum Laude), University of Groningen, the Netherlands (1999) M.Sc. in Econometrics (Cum Laude), University of Groningen, the Netherlands (1995) Research Interests: Harald focuses on applying econometric models and large datasets to address critical marketing challenges. His work explores marketing mix effectiveness , brand equity , digital marketing strategies , consumer behavior in crises , and cross-industry applications such as retailing, healthcare, and entertainment. Methodologically, he emphasizes dynamic models, endogeneity correction, optimization techniques, and text mining. Articles Trends: Recent publications highlight analysis of inflation's impact on consumer spending , mobile app engagement , brand recovery post-crisis , and econometric frameworks in marketing decision-making. His work bridges theoretical advancements with practical business implications, particularly in stochastic cost industries and global market dynamics. Awards & Fellowships: 2024: AMA Fellow & Shelby/Hunt Best Paper Award 2021: Churchill Award (Lifetime Contributions) 2004–2023: 10+ paper awards including MSI/Root, Paul Green, and multiple long-term impact recognitions Advising & Grants: Currently supervising doctoral candidates Ayesha Hossain (Human Branding) and Ada Choi (consumer financial decision-making). Supervised 12 completed theses across branding, retailing, and digital marketing. Secured over AU$2 million in grants including ARC Discovery, MSI, and the Marsden Fund. His grants examine topics like brand crisis management, price war dynamics, and mobile marketing ROI. Labs & Teams: Leads the Marketing Science Hub at AiMark, a nonprofit connecting academics with household panel data. Consults for global firms including Unilever, Edeka, and AZTEC. His work emphasizes collaborative data-driven research with industry partners.

Yuning JiangView profile

Visiting Professor

• Optimal Control
• Model Predictive Control
• Power Systems
• +4 more

Yuning Jiang is a Visiting Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Automatic Control Laboratory (LA3) within the School of Engineering (STI). He teaches the doctoral course Optimal Control for Dynamic Systems and contributes to research in distributed optimization, model predictive control (MPC), and smart grid technologies. His work bridges theoretical advancements in control systems with practical applications in power networks and autonomous systems. Current research emphasizes scalable solutions for AC optimal power flow, real-time MPC for embedded systems, and robust optimization under uncertainty. His research interests span Optimal Control , Power Systems , Smart Grids , and Federated Learning . Notable contributions include distributed algorithms for large-scale power systems and privacy-preserving co-simulation frameworks. Recent publications focus on microservice deployment in satellite-terrestrial networks and real-time pricing mechanisms for vehicle-to-grid (V2G) integration. Yuning holds a position in the EDEE-ENS unit under EPFL’s Academic Affairs division (VPA-AVP-DLE), reflecting his role in academic administration and teaching infrastructure. His lab, the Automatic Control Laboratory, focuses on cutting-edge research in control theory and its interdisciplinary applications.