Find Academic Supervisors

Mikolaj FirlejView profile

Lecturer

• AI Security and Safety
• Ethics and Regulation of AI
• Innovation in Defense and Intelligence Sectors
• +3 more

Mikolaj Firlej is a Lecturer in AI Law and Regulation at the University of Surrey's Surrey Institute for People-Centred Artificial Intelligence (PAI). He holds a D.Phil. and M.Phil. from the University of Oxford's Faculty of Law, an MPP from the Oxford School of Government, and degrees from the University of Warsaw. His research focuses on AI ethics, human control over autonomous systems, and defense sector innovation. He co-founded the Expeditions Fund, a dual-use venture capital firm, and serves as Director of the Law and Tech Hub. Research interests include AI security, global policy challenges for emerging technologies, and the intersection of AI with defense and intelligence sectors. His work emphasizes practical legal frameworks for regulating autonomous systems while fostering innovation. Firlej teaches AI and Law, Intellectual Property Law, and Law, AI & Technology courses. He supervises PhD students in AI security at Surrey's PAI. His publications span AI governance in defense, ethical frameworks for autonomous weapons, and regulatory approaches to complex adaptive systems. He actively engages with policy through expert testimony on UK AI defense capacity and international AI weaponization debates. Outside academia, he co-leads a family investment firm and explores geopolitics, literature, and sport.

Sijia GengView profile

Assistant Professor

• Power Systems
• Control Theory
• Nonlinear Dynamical Systems
• +4 more

Sijia Geng is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University (JHU) and a core researcher at the Ralph O’Connor Sustainable Energy Institute (ROSEI). She directs the Power and Energy Network Systems Analysis (PENSA) Laboratory and co-leads the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center as co-PI. Her research focuses on integrating control theory, mathematical analysis, and optimization to enhance renewable energy utilization and grid resiliency. Education: Ph.D. and M.S. (ECE & Mathematics) from the University of Michigan-Ann Arbor (2016–2022), B.S. in Automation from Harbin Institute of Technology (2016). Postdoctoral work at MIT (2022) and visiting scholar roles at Purdue University (2015) and Pacific Northwest National Lab (2018). Research Interests: Dynamic analysis of inverter-based power systems, nonlinear control theory, data-driven decision-making, and multi-energy systems. Her work emphasizes achieving autonomous, resilient energy systems through advanced computational tools and theoretical frameworks. Awards: Best Paper Award at MIT/Harvard Applied Energy Symposium (2022), MIT Rising Stars in EECS (2021), Barbour Scholarship (2021), Towner Prize (2018), and Gerald and Esther Forrest Fellowship (2016). She is active in IEEE and INFORMS, organizing sessions at PES General Meeting and CISS conferences. Grants & Collaborations: Funded by NSF, DOE, MIT Energy Initiative, and industry. Leads global initiatives through EPICS, collaborating with UK, Australian, and international stakeholders. Co-leads ROSEI’s Grid pillar to advance fossil-free energy systems. Labs & Teams: Directs PENSA Lab, affiliated with JHU’s Data Science and AI Institute, Applied Mathematics & Statistics, and Computer Science departments.

Bayu JayawardhanaView profile

Professor

• Mechatronics
• Nonlinear Control Systems
• Robotics
• +5 more

Prof. Bayu Jayawardhana is a Full Professor in Mechatronics and Control of Nonlinear Systems at the University of Groningen, affiliated with the Faculty of Science and Engineering. He leads the Jayawardhana Group focusing on opto-mechatronics and advanced nonlinear control theories. His roles include Director of Engineering and Scientific Director of the Engineering and Technology Institute Groningen. He holds editorial positions in journals like International Journal of Robust and Nonlinear Control and European Journal of Control . Education: PhD in Control and Power Group from Imperial College London (2006), M.Eng from Nanyang Technological University (2003), and B.Eng from Institut Teknologi Bandung (2000). Research interests span opto-mechatronics for high-tech systems, nonlinear control, and systems biology. Key projects include digital twins for energy optimization, control of ocean energy systems, and modeling of cryogenic actuators for telescopes. His work integrates AI and model-based methods for high-performance systems. Notable awards include the 2016 FSE Faculty Teacher of the Year Award and the Ben Feringa Impact Award (2020). He advises on ventures like Ocean Grazer B.V. and Sencilia B.V. Teaching includes graduate courses on nonlinear control, opto-mechatronics, and fitting dynamical models to data. His research labs include the Groningen Centre for Systems and Control and the Data Science and Systems Complexity Center.

• Industrial Automation
• Control Systems
• Machine Learning Applications
• +5 more

Valeriy Vyatkin is a Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on advancing industrial automation, control systems, and their integration with emerging technologies like machine learning and digital twins. He specializes in standards such as IEC 61499, addressing interoperability, formal verification, and performance optimization in distributed automation systems. Key research interests include: Physics-informed machine learning for industrial processes (e.g., steel rolling, reservoir engineering) Formal methods for control system validation and safety-critical applications Development of adaptive automation frameworks for Industry 5.0 challenges, including human-robot collaboration and energy systems Interoperability between legacy and modern industrial standards (OPAS, OPC UA) Recent work emphasizes real-time simulation, FPGA-based control prototyping, and AI-driven solutions for energy efficiency and sustainability in manufacturing, horticulture, and process industries. Publications span topics like robotic walker design, probabilistic model checking, and decentralized learning management systems. He collaborates on EU and industry-funded projects, focusing on digital twin implementation, edge computing, and virtual commissioning. His team develops tools for automated code generation, system migration, and anomaly detection in complex industrial settings.

• Autonomous Vehicles
• Intelligent Transportation Systems
• Robotics
• +7 more

Miguel Ángel Sotelo Vázquez is a full Professor at the University of Alcalá, leading the INVETT Research Group (Intelligent Vehicles and Traffic Technologies). He holds the Department of Automatic Control and specializes in autonomous systems, particularly in path planning, sensor fusion, and human-vehicle interaction. His research integrates machine learning, robotics, and control theory to address challenges in intelligent transportation systems. He earned his Ph.D. in 2001 with a thesis on autonomous vehicle navigation in partially known environments. His work emphasizes real-world deployment, explainable AI, and safety-critical systems. Recent projects focus on lane change prediction, pedestrian behavior modeling, and cybersecurity for autonomous systems. Key contributions include neuro-symbolic frameworks for decision-making, real-time multi-physics field reconstruction, and cross-cultural studies of pedestrian interactions. He collaborates internationally on urban mobility resilience and hydrogen refueling infrastructure. Research Highlights : Development of knowledge graph-based prediction architectures Experimental validation of human-vehicle interaction in VR environments Creation of the SCOUT trajectory prediction framework

Tijani CHAHEDView profile

Professor

• Network Optimization
• Edge Computing
• Machine Learning in Networks
• +4 more

Prof. Tijani CHAHED is a Professor at Telecom SudParis, part of Université Paris-Saclay, affiliated with the SAMOVAR laboratory and the NeSS research group. His work focuses on network optimization, edge computing, machine learning applications in telecommunications, and game-theoretical frameworks for distributed systems. He holds a position in the Department of Computer Science and Telecommunications. His research spans resource allocation in 5G/6G networks, energy efficiency strategies for mobile infrastructure, reinforcement learning for dynamic systems, and coalitional game theory for multi-agent systems. Key contributions include optimization of cache allocation in edge computing, latency-critical traffic management (URLLC), and strategic investment models for distributed computing infrastructures. Selected articles highlight advances in edge computing resource management, metaverse data transport over 5G, and energy-efficient sleep mode control for base stations. His work often intersects with industrial applications in green networks and smart grid integration for mobile infrastructure. Collaborations involve institutions like École Polytechnique, INRIA, and industry partners in telecommunications. Current projects include 6G network architectures, metaverse-enabled edge services, and decentralized resource allocation frameworks. Labs/Teams: SAMOVAR Lab (Signal and Media Access Networks, Optical and Radio Networks), NeSS Group (Networked Systems and Services).

Khurram K. AfridiView profile

Professor

• Wireless Power Transfer
• Power Electronics
• Electric Vehicle Charging Systems
• +5 more

Khurram K. Afridi is a Professor in the Electrical and Computer Engineering Department at Cornell University's College of Engineering. With a BS from Caltech and SM/PhD from MIT, he leads the High-Frequency Power Electronics and Control (HFPEC) research group. His work focuses on high-frequency power electronics, wireless power transfer systems, and electric vehicle charging infrastructure. Dr. Afridi's research spans capacitive wireless power transfer systems for electric vehicles, high-frequency power converters , impedance control networks , and power density optimization . His team has developed innovative approaches for multi-MHz wireless power transfer, reduced-fringing-field systems, and high-efficiency power conversion architectures. Recent work emphasizes practical implementation challenges including thermal management, pavement-embedded systems, and dynamic charging applications. His publications reveal a strong focus on high-power-density systems , wireless charging technologies , and advanced power conversion techniques . The research spans both theoretical modeling and practical implementation, with numerous papers in top conferences like APEC, ECCE, and IEEE journals. Key themes include improving power transfer efficiency at multi-MHz frequencies, developing novel matching network designs, and creating practical systems for electric vehicle charging infrastructure. First Place Prize Paper Award, IEEE Journal of Emerging and Selected Topics in Power Electronics, 2023 First Place Best Contribution Award, IEEE WPTCE, 2023 Second Place Prize Paper Award, IEEE Transactions on Power Electronics, 2022 Distinguished Lecturer, IEEE Vehicular Technology Society, 2022 Cornell Engineering Research Excellence Award, 2021 NSF CAREER Award, 2016 Dr. Afridi has successfully advised numerous graduate students who have received multiple Outstanding Presentation Awards at major conferences. His research has been supported by significant funding including the NSF CAREER Award. The HFPEC group maintains strong industry connections and focuses on translating theoretical advances into practical power electronics solutions with real-world impact. Current research directions include electrified roadways, dynamic wireless charging systems, and high-power-density power conversion architectures for next-generation applications.

Imre S. SzalaiView profile

Professor

• Arbitration
• Federal Arbitration Act
• Dispute Resolution
• +9 more

Professor Imre S. Szalai is a leading scholar in arbitration law and dispute resolution, currently serving as Professor of Law at the Elisabeth Haub School of Law at Pace University. His expertise spans arbitration, litigation, professional responsibility, and legal ethics. He is nationally recognized for his work on the Federal Arbitration Act and its impact on civil justice. University: Pace University School: Elisabeth Haub School of Law Department: Dispute Resolution Academic Rank: Professor Education: Bachelor of Arts (BA), Yale University – Double Major in Economics and Classical Civilizations JD, Columbia University School of Law – Harlan Fiske Stone Scholar Research Interests: Professor Szalai specializes in the legal, historical, and ethical dimensions of arbitration. His work critically examines the expansion of forced arbitration in consumer and employment contexts, the erosion of trial rights, and the role of arbitration in undermining accountability. He explores the historical roots of the Federal Arbitration Act and advocates for reforms that restore fairness and consent in dispute resolution. His recent scholarship delves into emerging issues such as artificial intelligence in arbitration and the impact of pop culture on legal interpretation. Publication Trends: His recent publications (2022–2025) reflect a strong focus on contemporary challenges in arbitration law, including the #MeToo movement's influence on forced arbitration, AI-driven dispute resolution, the role of the Supreme Court in shaping arbitration policy, and high-profile cases involving Ticketmaster and Taylor Swift. His work combines doctrinal analysis, historical inquiry, and policy critique, often drawing from media and cultural references to make complex legal issues accessible. Scientific Awards: Harlan Fiske Stone Scholar, Columbia Law School Advising and Grants: Professor Szalai actively collaborates with students on amicus briefs and scholarly work. While specific grant funding is not detailed in the provided text, his extensive publication record and media engagements suggest sustained scholarly support. He mentors students in legal research, writing, and advocacy, particularly in the areas of arbitration and civil rights. Labs, Teams, and Initiatives: He maintains a public blog on arbitration law developments, where he analyzes recent court decisions, legislative changes, and policy debates. This platform serves as an educational resource and contributes to public discourse on arbitration reform. He also participates in academic and professional networks focused on dispute resolution and legal ethics.

Natasha L. CorneaView profile

Associate Professor

• Urban Geography
• Development Geography
• Urban Political Ecology
• +3 more

Dr. Natasha L. Cornea is an Associate Professor in Human Geography at the School of Geography, Earth and Environmental Sciences, University of Birmingham, where she has served since February 2018 and was promoted in 2022. Her research examines urban environmental governance and politics in Indian and Zambian cities through urban political ecology and everyday state frameworks. Her academic qualifications include: PhD in Geography from the University of Lausanne (2016) MA in Social Development from the University of Sussex (2011) BA (Hons) in International Studies with Economics minor from the University of Regina (2010) Cornea's work centers on the intersections of urban and development geographies, emphasizing everyday practices in South Asian urban contexts. She employs post-structuralist approaches to analyze how governance operates in the 'actually-existing city,' particularly regarding waste management, water systems, and socio-nature production in Global South cities. Her publication trends (2016-2024) reveal consistent focus on urban political ecology in the Global South, with increasing interdisciplinary collaboration evident in plastics research and sustainable urban futures. Key recurring themes include municipal capacity in small cities, state performance in informal settlements, and infrastructure politics through postcolonial lenses. Cornea received Swiss National Science Foundation funding for her pre-Birmingham fellowship at University College London and actively contributes to postgraduate teaching, including Geopolitics and Globalisation (Module 406) and Berlin fieldwork. She supervises graduate research in human geography though no specific students are listed. She co-leads the Birmingham Plastics Network (40+ interdisciplinary researchers) addressing plastic sustainability and is affiliated with the Centre for Urban and Regional Studies (CURS), focusing on urban environmental challenges in Global South contexts.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Mechatronics
• +7 more

Alexis Lussier Desbiens is an Associate Professor at the Université de Sherbrooke in the Department of Mechanical Engineering , Faculty of Engineering. He co-founded several research labs and initiatives including NSERC CREATE CoRoM (Collaborative Robotics in Manufacturing) and NSERC CREATE UTILI (Uninhabited Aircraft Systems Training). His work bridges robotics, mechanical design, and sports equipment innovation. PhD in Mechanical Engineering (Stanford University, 2012) BEng in Mechanical Engineering (Université de Sherbrooke, 2005) Postdoctoral Research (Harvard University, 2013) His research focuses on robotics and automation , particularly unmanned aerial vehicles (UAVs) with bioinspired design principles for mechanical intelligence. Key areas include: Autonomous UAV perching and climbing Hybrid locomotion systems Sports equipment dynamics (skis, hockey sticks) Magnetorheological actuator applications Conservation biology tools via aerial sampling Recent publications highlight interdisciplinary work in robotics , sports engineering , and ecological monitoring . His projects often integrate mechanical design with environmental or human-centric applications. Scientific recognition includes: Best Student Paper (IEEE SMC, 2021) Best Poster (ISEA, 2020) National Geographic Explorer (2020) CSME Gold Medal (2005) Current grants (2020-2023) include: $339,000 - High-performance UAV for power line interactions $1.65M - NSERC CREATE UTILI training program $120,000 - Intelligent hockey stick development He also leads the CREATEK Research Lab and maintains global collaborations with institutions like Harvard University, Stanford University, MIT, and EPFL.

Jing JiangView profile

Professor

• Fault-tolerant control of safety-critical systems
• Advanced control of nuclear power plants
• Integration of renewable energy resources in microgrids
• +4 more

Jing Jiang is a Professor in the Department of Electrical and Computer Engineering at the University of Western Ontario (Western University), where he holds the NSERC/UNENE Senior Industrial Research Chair in Nuclear Instrumentation and Control since 2003. He is a registered professional engineer (P. Eng.) in Ontario and a Fellow of multiple prestigious organizations including the Canadian Academy of Engineering, IEEE, and the Engineering Institute of Canada. Dr. Jiang's research focuses on: Fault-tolerant control of safety-critical systems Advanced control of nuclear power plants Integration of renewable energy resources in microgrids Instrumentation and control systems Advanced signal processing for fault diagnosis Industrial wireless sensor networks His educational background includes a Ph.D. from the University of New Brunswick (1989), MESc. from the University of New Brunswick (1984), and BESc. from Jiaotong University in Xi'an, China (1982). Dr. Jiang has been with Western University since 1991, progressing from Assistant Professor to Full Professor in 1999. Dr. Jiang has established the Control, Instrumentation and Electrical Systems (CIES) research group and two state-of-the-art laboratories: the NPP I/C research lab and the distributed generation (DG) research lab. His research has significant industry impact, particularly in nuclear power plant instrumentation and control systems, with collaborations with the Canadian nuclear industry and the International Atomic Energy Agency (IAEA). Professional Recognition Professional Engineers Gold Medal (2025, 2021) Canadian Association for Graduate Studies Award for Outstanding Graduate Mentorship (2021) Distinguished University Professor (2018) Fellow of IEEE (2017) RBC Top 25 Canadian Immigrant Award (2016) Fellow of Canadian Academy of Engineering (2010) Dr. Jiang has served on numerous technical committees including ISA 100.11a (Wireless Systems for Automation), ISA 67 (Nuclear Power Plant Standards), and IEC SC 45A (Nuclear Instrumentation). He has been actively involved with the IAEA as an expert consultant on various nuclear-related technical matters. He leads a research team consisting of post-doctoral fellows, research engineers, and graduate students. His NPP I/C lab includes a CANDU NPP simulator, physical simulators, various control systems (ABB, Siemens, DeltaV, Honeywell), safety PLC systems, and industrial wireless sensor networks. The DG lab features a reconfigurable microgrid with renewable energy sources, energy storage devices, and advanced power electronics control systems.

Mohamed El MoursiView profile

Professor

• Renewable Energy Integration
• Energy Storage Systems
• Smart Grid Operation and Control
• +6 more

Prof. Mohamed El Moursi is a Professor in the Electrical Engineering Department at Khalifa University, Abu Dhabi, UAE. He serves as Director of the Advanced Power and Energy Center (APEC) and Theme Director for renewable energy Integration at the Virtual Research Institute (VRI) for Sustainable Energy Production, Storage, and Utilization (funded by ASPIRE). An IEEE Fellow (Class of 2024) and Distinguished Lecturer of IEEE Power and Energy Society, he holds leadership roles in UAE's scientific community including membership in the MOHAMED BIN RASHID Scientists Council. His academic credentials include: BSc in Electrical Power Engineering from Mansoura University, Egypt (1997) MSc in Electrical Power Engineering from Mansoura University, Egypt (2002) PhD in Electrical Engineering (Power Systems/Power Electronics) from University of New Brunswick, Canada (2005) El Moursi's research pioneers renewable energy integration in modern power systems, focusing on hybrid AC/DC grid stability, AI-driven grid management, and transportation electrification. His work bridges theoretical innovation with industrial applications, particularly in grid stability assessment for high-renewable penetration systems. Key contributions include developing operational platforms like the SAVE software for UAE's national grid and REMS tools for international energy management. He has secured $27,027,129 in research funding from global sources including Europe, North America, GCC nations, and South Korea. Major projects encompass the ASPIRE-funded Virtual Research Institute, TRANSCO/Manitoba Hydro's SAVE Tool, and MIT-collaborative initiatives on grid resilience. To date, he has graduated 10 PhD and 35 MSc students, many receiving national thesis awards. His distinguished recognition includes: IEEE Fellow (2024) Khalifa Award for Education (2022) UAE Ministry of Energy R&D Award (2023) Mission Innovation Champion (2019) Abu Dhabi Technology Development Committee Gold Medal (2015) Multiple editorial awards from IEEE Transactions As APEC Director, El Moursi leads a multidisciplinary team developing cutting-edge solutions for grid modernization. His center maintains strategic partnerships with TRANSCO, ELIA GRID International, and Dubai Electricity and Water Authority, translating research into real-world grid stability and energy management systems through tools like SAVE and REMS.

Efstathios (Stathis) MichaelidesView profile

Professor

• Advanced Energy Systems
• Energy Conversion and Conservation
• Geothermal Energy
• +9 more

Efstathios (Stathis) Michaelides is the W.A. "Tex" Moncrief, Jr. Founding Chair of Engineering at Texas Christian University (TCU). He holds a Ph.D. and M.S. in Engineering Science from Brown University (1980, 1979) and a B.A. in Engineering Science and Economics from Oxford University (1977). His research focuses on advanced energy systems, multiphase flow, and renewable energy transitions. Ph.D. , Engineering Science, Brown University, 1980 M.S. , Engineering Science, Brown University, 1979 B.A. , Engineering Science and Economics, Oxford University, England, 1977 Michaelides' work spans energy conversion , geothermal systems , nanofluidics , and particle-fluid dynamics . His recent publications analyze energy storage requirements for renewable transitions, drag force correlations in complex flows, and thermodynamic implications of carbon sequestration. His research trends include decarbonization strategies , nanoparticle-enhanced phase transitions , and smart microfluidic systems . He has also contributed to foundational texts like Particles, Bubbles and Drops (2006) and the Multiphase Flow Handbook (2017).

George C TsengView profile

Professor

• Genomics
• Bioinformatics
• Statistical Learning
• +9 more

Dr. George C Tseng serves as Professor and Vice Chair for Research in the Department of Biostatistics at the University of Pittsburgh School of Public Health, with secondary appointments in Human Genetics and Computational and Systems Biology. His educational background includes a BS (1997) and MS (1999) in Mathematics from National Taiwan University and an ScD (2003) in Biostatistics from Harvard School of Public Health. Dr. Tseng's research focuses on developing statistical methodologies for genomic and bioinformatic applications to advance precision medicine. His work spans multiple high-impact areas including multi-omics data integration, machine learning for high-dimensional data, cluster analysis for disease subtyping, and statistical methods for experimental design in omics studies. His approach emphasizes close collaboration with biological and clinical researchers to ensure methodological relevance to real-world problems. His publication record demonstrates consistent contributions to top statistical and bioinformatics journals, with recent work focusing on congruence analysis between animal models and humans, outcome-guided clustering methods, and high-dimensional causal mediation analysis. Elected Fellow, American Statistical Association (2017) Statistician of the Year, ASA Pittsburgh Chapter (2017) Provost's Award for Excellence in PhD Mentoring, University of Pittsburgh (2019) Clinical Research Scholar (K12) Award, NIH (2007-2009) Elected Member, International Statistical Institute (2012) Dr. Tseng has successfully mentored over 25 PhD students who have secured positions in academia, industry, and government agencies. His laboratory has maintained continuous NIH funding as principal investigator since 2012, including current grants R01CA285337 (2025-2030) and R01LM014142 (2023-2026). The Tseng Lab operates as a collaborative research environment focused on translating statistical innovations into practical solutions for biological and medical challenges, with strong connections to multiple research centers and clinical departments at the University of Pittsburgh.

• Control Technology
• Distributed Optimization
• Machine Learning
• +4 more

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.