Hui Cao is the John C. Malone Professor of Applied Physics, Professor of Physics, and Professor of Electrical Engineering at Yale University. Her research focuses on mesoscopic physics, complex photonic materials, nanophotonics, and biophotonics, with experimental investigations into unconventional lasers, coherent light control, and disordered photonic systems. She leads a lab exploring applications in speckle-based imaging, deep-tissue optics, and chip-scale spectrometers. Education: Ph.D. in Physics from Stanford University (1997). Awards include the William E. Lamb Medal (2015), Guggenheim Fellowship (2013), and fellowships from the American Physical Society and Optical Society of America (2007). Research emphasizes random lasers, microcavity lasers, and wavefront shaping to control light in diffusive media. Key innovations include a disordered photonic chip spectrometer and methods to suppress nonlinear instabilities in fiber amplifiers. Awards: 12 major honors including AAAS Fellowship and multiple endowed professorships Patents: 3 core photonic technologies including random laser imaging and fiber amplifier control systems Lab Activities: Developing novel optical devices leveraging disorder and nonlinear effects
Karl-Erik Årzén is Professor and Head of the Department of Control Engineering at Lund University's Faculty of Engineering. He is also Co-director of the Wallenberg AI, Autonomous Systems and Software Program (WASP) and a key member of ELLIIT, the excellence center in information technology. His roles include leadership in AI and digitalization profile areas at both LTH and Lund University. His research lies at the intersection of control engineering and computer science, with a focus on cyber-physical systems, real-time systems, embedded control, and resource management in cloud and edge computing environments. He has pioneered methods for predictable performance in cloud applications and dynamic resource allocation using control-theoretic approaches. The recent publications highlight a strong trend in control over the cloud and edge, real-time scheduling co-design, distributed camera systems, and reinforcement learning for auto-scaling. Key topics include model predictive control, LQG-based scheduling, bandwidth allocation, and robustness in cyber-physical systems. The work spans theoretical control design and practical implementation in distributed systems. His scientific awards include multiple Best Paper Awards from IEEE and ACM conferences in 2018, 2016, and 2004, recognizing excellence in autonomic computing, edge computing, and real-time systems. Best Paper Award, IEEE International Conference on Autonomic Computing, 2018 Best Paper Award, IEEE International Conference on Edge Computing (EDGE), July 2018 Best Paper Award - RTNS 2016 Best Paper Award - RTCSA 2004 Årzén has supervised over 20 PhD students, including Mikael Johansson, Anton Cervin, Yang Xu, and Per Skarin, and currently supervises Ahmed Al Bayati and Max Nyberg Carlsson. His grant portfolio includes major projects such as WASP, AORTA (VINNOVA), and ELLIIT's 'Robust and Secure Control over the Cloud'. He has also contributed to innovation through tools like TrueTime and Jitterbug. He leads the RobotLab LTH initiative and is involved in the Nordic University Hub on Industrial Internet of Things (HI2OT). His work bridges academia and industry, with collaborations on adaptive control, cloud-native systems, and autonomous robotics.
Nicola Paltrinieri is a Professor of Risk Assessment at the Department of Mechanical and Industrial Engineering, NTNU (Norway), and an Adjunct Professor at the University of Bologna (Italy). His expertise spans risk assessment, hydrogen technologies, process safety, and data-driven safety management. He holds Chartered Engineer and Chartered Scientist certifications and has served on editorial boards for journals like Safety Science and Journal of Risk Research . Education: PhD in Environmental, Safety and Chemical Engineering (University of Bologna, 2012) Master’s in Chemical and Process Engineering (University of Bologna, 2008) Research Interests: Focuses on hydrogen infrastructure safety, Natech accident analysis, risk-based inspection strategies, and AI integration in safety systems. His work emphasizes sustainable energy transitions and mitigating risks in emerging technologies like hydrogen. Key Projects (2022-2026): H2Glass : Decarbonizing glass and aluminum sectors via hydrogen HyInHeat : Hydrogen technologies for industrial heating HYDROGENi : Norwegian research center for hydrogen/ammonia Awards: Onsager Fellowship (2016–2021) Frank Lees Medal (2012) for safety-related publications Grants & Leadership: Head of NTNU Energy Team Hydrogen, coordinator for EU-funded projects like SUSHy , and active in international risk committees (e.g., EFCE, ESRA). His work bridges academia and industry, with over 8 PhD examinations supervised. Labs/Teams: Leads the NTNU Energy Team Hydrogen and collaborates on initiatives like SH2IFT-2 for safe hydrogen fuel handling. His research group focuses on AI-driven risk analysis and hydrogen infrastructure resilience.
Professor Alasdair McDonald holds the Chair in Renewable Energy Technology at the School of Engineering, University of Edinburgh . His work focuses on the integrated electrical-magnetic-mechanical modeling and design of large electrical machines for offshore renewable energy systems , particularly wind turbine powertrains . He previously served as a Lecturer, Senior Lecturer, and Reader in Wind Turbine Technology at the University of Strathclyde. Education: PhD in Structural Analysis of Low-Speed, High-Torque Generators (University of Edinburgh, 2008) MEng (Hons) in Integrated Electrical & Mechanical Engineering (University of Durham, 2004) Research Interests: Design of permanent magnet electrical machines for wind and marine energy Lightweight generator structures and advanced manufacturing methodologies Condition monitoring using SCADA and vibration data Cost of energy optimization for offshore renewables Projects: STREAM 1: Innovations in Forth/Tay Offshore Wind Clusters (EPSRC, 2025-2029) Wind2DC: Medium Voltage DC Power Take-Off Systems (EPSRC, 2023-2026) PV054: Modular Generators for Floating VAWTs (EPSRC & SeaTwirl AB, 2023) Media Contributions: Quoted in research media about floating hydrogen production systems (2025)
Dr. Yu Zhong is an Assistant Professor in the Department of Materials Science and Engineering at Cornell University's College of Engineering, where he leads the Yu Zhong Group. His research laboratory focuses on the design and synthesis of novel soft materials and nanomaterials for applications in electronics, energy, healthcare, and sustainability. As a principal investigator, he oversees a dynamic research team comprising postdoctoral associates, graduate students, and undergraduate researchers working on cutting-edge materials science projects. Dr. Zhong received his educational training at prestigious institutions, earning his B.S. in Chemistry from the University of Science and Technology of China (USTC) in 2011, followed by a Ph.D. in Chemistry from Columbia University in 2017 under the supervision of Prof. Colin Nuckolls. His doctoral research centered on designing contorted molecules for electronic and energy applications including organic solar cells, photodetectors, and gas sensors. He then conducted postdoctoral research at the University of Chicago in Prof. Jiwoong Park's group, where he worked on the design and synthesis of 2D polymers for ultrathin electronic circuits and energy conversion. Dr. Zhong's research program spans three primary directions: (1) the bottom-up synthesis of ultrathin nanoporous membranes using techniques like laminar assembly polymerization (LAP) for applications in water desalination, nanofiltration, and gas separation; (2) the study of transport behaviors in hybrid organic-inorganic 2D heterostructures created through layer-by-layer assembly for use in optical, electronic, and thermal management devices; and (3) the development of mixed ionic-electronic materials for bio-inspired and bioelectronic devices. His group employs advanced synthesis methods including organic/polymer synthesis, supramolecular and reticular chemistry, and 2D materials characterization to explore novel scientific phenomena and technological applications. An analysis of Dr. Zhong's recent publications reveals a strong focus on the synthesis and characterization of 2D polymers and organic-inorganic hybrid materials. His work bridges fundamental materials science with practical applications in energy conversion, electronics, and separation technologies. A notable trend is his development of innovative synthesis techniques like laminar assembly polymerization that enable precise control over material structure at the molecular level, leading to breakthroughs in areas such as lithium-ion transport, osmotic power generation, and ultra-narrowband photodetection. Dr. Zhong's scientific achievements have been recognized with several prestigious awards: Pegram Award for Meritorious Graduate Research, Columbia University (2016) Camille and Henry Dreyfus Postdoctoral Fellowship, Dreyfus Foundation (2016) Arun Guthikonda Memorial Fellowship, Columbia University (2015) Jack Miller Award for Excellence in Teaching, Columbia University (2014) As an advisor, Dr. Zhong mentors a diverse group of researchers including postdoctoral associate Qiyi Fang, multiple Ph.D. students (Yuhe Zhang, Kaushik Chivukula, William Xie), M.S. students, and undergraduate researchers. His group has secured funding for research on soft and nanomaterials, with projects spanning organic electronics, 2D materials synthesis, and biomimetic membranes. Dr. Zhong actively seeks motivated graduate students and postdoctoral fellows to join his research team, emphasizing the importance of interdisciplinary collaboration in advancing materials science. The Yu Zhong Group operates state-of-the-art laboratories in Bard Hall at Cornell University, equipped for organic synthesis, materials characterization, and device fabrication. The research team works collaboratively across disciplines, partnering with experts in physics, chemistry, and engineering to tackle complex challenges in materials science. Current projects focus on developing novel synthesis methodologies and exploring structure-property relationships in soft materials to enable next-generation electronic, energy, and healthcare technologies.
Yuan Zhong is an Associate Professor of Operations Management at the University of Chicago Booth School of Business . He previously held positions as an Assistant Professor at Columbia University’s Department of Industrial Engineering and Operations Research and was a Postdoctoral Scholar at UC Berkeley’s Computer Science Department. Education: PhD in Operations Research, MIT (2012) MA in Mathematics, Caltech (2008) BA in Mathematics, University of Cambridge (2006) His research focuses on applied probability and stochastic system design , with applications in cloud computing , supply chain management , and e-commerce logistics . Recent work explores multi-period production systems and dynamic resource allocation in data centers and healthcare operations . Recent publications analyze cloud value chains , sparse graph design for delivery networks, and process flexibility in manufacturing. He has contributed to journals like Operations Research , Annals of Applied Probability , and Stochastic Systems . Scientific Awards: 2012 Kenneth C. Sevcik Outstanding Student Paper Award Best Student Paper Award at ACM Sigmetrics (2012) He teaches courses in business process fundamentals and queueing theory , with a future schedule including Operations Management: Business Process Fundamentals (2025–2026). No explicit student advising list was provided.
Michael E. McHenry is a Professor of Materials Science and Engineering at Carnegie Mellon University's College of Engineering. He holds appointments with multiple research centers including the Data Storage Systems Center, Engineering Research Accelerator, Materials Research Science and Engineering Center, and Wilton E. Scott Institute for Energy Innovation. Dr. McHenry received his BS in Metallurgical Engineering and Materials Science from Case Western Reserve University in 1980, his PhD in Materials Science and Engineering from MIT in 1988, and completed a postdoctoral fellowship at Los Alamos National Laboratory. His research focuses on soft magnetic nano-composites for power and energy applications, with particular expertise in metal amorphous nanocomposites (MANCs) for high-efficiency electric motors and power systems. His work spans advanced materials processing, magnetic properties under various conditions, and rare earth materials criticality. His research portfolio demonstrates a clear progression toward practical applications of magnetic materials, particularly in high-power density, high-efficiency motors that can operate at high rotational speeds with minimal energy loss. His publications reveal a strong focus on translating fundamental materials science into engineering solutions for energy conversion, with significant emphasis on rare earth-free alternatives and high-frequency applications. IEEE Distinguished Lecturer (2013) TMS Awardee for Research Excellence (2014) Subject of TMS Symposium in Honor of M. E. McHenry (2016) NATO Series Lecturer on Rare Earth Criticality (2016/17) Dr. McHenry has co-founded CorePower Magnetics Inc. with Paul Ohodnicki and Samuel Kernion, commercializing soft magnetic technologies with applications in grid modernization and electric vehicles. His extensive publication record and leadership in major research initiatives including a MURI on high-temperature magnetic materials and an ARPA-E program demonstrate significant impact in both academic and industrial contexts. He has served in various leadership roles for Magnetism and Magnetic Materials and Intermag Conferences, and continues to advise on rare earth scarcity issues for organizations like NATO.
Prof. Dr. Olga Fink is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) since March 1, 2022. She leads the Intelligent Maintenance and Operations Systems (IMOS) research group within the Department of Civil and Environmental Engineering under the School of Architecture, Civil and Environmental Engineering (ENAC). She also serves in PhD program committees for Civil and Environmental Engineering and Robotics, Control, and Intelligent Systems. PhD Students: Faghih Niresi Keivan, Garmaev Sergei, Sharma Vinay, Sun Han, Theiler Raffael Pascal, Von Krannichfeldt Leandro, Wei Amaury Pierre Jiezhi, Xu Chenghao, Zhang Zepeng, Zhao Mengjie Past PhD Student: Nejjar Ismail Her research focuses on applying machine learning to infrastructure condition monitoring and predictive maintenance of industrial systems. She teaches courses including Introduction to Machine Learning for Engineers , Data Science for Infrastructure Condition Monitoring , and Machine Learning for Predictive Maintenance Applications .
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.
Johan Meyers is a full Professor at KU Leuven's Faculty of Engineering Science, Department of Mechanical Engineering, where he heads the Applied Mechanics and Energy conversion (TME) research unit. He serves as a contact person for TME and is an active member of the KIES – KU Leuven Institute for Energy and Society. His administrative roles include membership on the Council of the Faculty of Engineering Science, the Mechanical Engineering Department Council and Board, and chairing the HPC Steering Committee. Professor Meyers' research focuses on turbulent flow simulation and optimization, with particular emphasis on wind energy applications, atmospheric pollutant dispersion, and computational methods. His work spans Direct Numerical Simulation (DNS), Large-Eddy Simulation (LES), and model reduction techniques for applications in energy engineering. Current research categories include flow control & optimization, wind farm engineering, and atmospheric pollutant dispersion modeling, with specific applications in radioactive release scenarios and wind turbine system optimization. His recent publications demonstrate a strong trend toward wind energy applications, particularly in optimizing wind farm layouts and operations through advanced computational methods. The research shows significant emphasis on Large-Eddy Simulation techniques to study atmospheric boundary layer interactions with wind farms, with growing interest in hybrid wind-solar energy systems and the effects of surface temperature heterogeneity on flow patterns. His work increasingly integrates machine learning approaches to enhance computational efficiency in wind farm modeling. Professor Meyers actively supervises numerous PhD students including Bon, T., Janssens, N., Jamaer, S., and ALREWENY, A., among others. His research is supported by multiple ongoing projects through 2028, including 'Wind-farm co-design in the North-Sea basin given climate and market uncertainty' and 'Reconstruction of turbulence from partial observations,' primarily funded by research councils and industry partnerships. He leads the Turbulent Flow Simulation and Optimization (TFSO) research group, which develops efficient supercomputing simulation tools for turbulent flow applications in energy engineering. The group specializes in wind farm optimization, atmospheric pollutant dispersion modeling, and airborne wind energy systems, with a particular focus on LES studies of wind farm interactions with the atmospheric boundary layer.
Tatiana Segura is a Professor of Biomedical Engineering, Neurology, and Dermatology at Duke University's Pratt School of Engineering, where she also serves as Co-director of the Center for Biotechnology and Tissue Engineering and MPI of the T32 Biotechnology Training grant. Her research focuses on designing biomaterials to promote endogenous repair through geometry design and delivery of genes, proteins, and drugs. She has made significant contributions to the development of microporous annealed particle (MAP) hydrogels and other biomaterial systems for tissue regeneration. B.S. in Bioengineering from University of California, Berkeley (1999) Ph.D. in Chemical Engineering from Northwestern University (2004) Professor Segura's research centers on biomaterials engineering for tissue repair and regeneration. Her lab designs innovative biomaterial interventions that promote brain plasticity after stroke, enable scarless healing in skin wounds, induce tolerance of transplanted skin, and promote constructive immune responses after biomaterial implantation. She pioneered the development of microporous annealed particle (MAP) hydrogels that have become widely adopted in regenerative medicine research. Her work uniquely bridges immunology, materials science, and clinical applications to create therapeutic biomaterials that harness the body's own healing capabilities. Her recent publications demonstrate a strong focus on spatial control of biomaterial properties, with emphasis on void space analysis, immune cell recruitment, and vascularization. The research shows a progression from fundamental biomaterial characterization to increasingly sophisticated therapeutic applications, particularly in stroke recovery and wound healing. Her work integrates proteomics, lipidomics, and advanced imaging to understand the molecular mechanisms underlying biomaterial-mediated tissue regeneration. Senior Member of the National Academy of Inventors (2023) Acta Biomaterialia Silver Medal (2021) Clemson Award for Contributions to Literature (2024) 15 d/e Plenary Award from AICHE Food, Pharmaceutical, and Bioengineering Division (2018) Fellow of the American Institute for Medical and Biological Engineers (2016) Professor Segura actively mentors the next generation of scientists, currently supervising 12 graduate students, 4 postdoctoral scholars, 2 master's students, 16 undergraduates, and other trainees. Her laboratory has been continuously funded since 2008 with multiple NIH grants, including her current role as MPI of the T32 Biotechnology Training grant. She has received substantial support from the NSF (including a CAREER award), American Heart Association, and American Society of Gene and Cell Therapy. Her Segura Lab operates as a multidisciplinary team comprising engineers, biologists, and clinicians working together to translate biomaterial discoveries into clinical applications. The lab's 'MAP' technology platform has enabled numerous collaborations across Duke and other institutions, focusing on brain repair after stroke, scarless skin healing, and immune-modulating biomaterials. The lab maintains strong industry partnerships to accelerate the translation of their biomaterial technologies into clinical use.
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.
Dr. Charles Rougé is a Senior Lecturer in Water Resilience at the Department of Civil and Structural Engineering, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield. He holds an MSc and PhD, and his career spans top institutions in France, the US, Canada, and the UK. 2018–present: University of Sheffield (Lecturer → Senior Lecturer) 2023–2026: Principal Investigator, EPSRC-funded project on water-energy systems under climate change and energy transition Research Focus: Modelling complex water resource systems to enhance resilience against climate change, with a growing emphasis on water-energy nexus challenges. His work integrates hydrology, power systems engineering, economics, and decision theory. Key Trends: 15 most recent articles span climate-perturbed hydrological models, water-energy system coupling, socio-hydrology applications, and transboundary water governance. Many showcase interdisciplinary approaches to water infrastructure flexibility and uncertainty quantification. Scientific Awards: 2019 Quentin Martin Best Practice Award (JWRPM) 2015 Editor's Citation for Excellence (WRR) Grants: EPSRC grant (UKRI) for 'Flexible design and operation of water resource systems' (2023–2026) Team Leadership: Leads the 'Water resilience' research group at Sheffield, mentoring early-career researchers in water system sustainability and low-carbon energy transition.
Alessandro Aliakbargolkar is a Professor at the Department of Space Systems Design under the School of Aerospace Engineering at Skolkovo Institute of Science and Technology (Skoltech). His research focuses on Federated Satellite Systems, CubeSat constellations, and Spacecraft Systems Architecture, with applications in Earth observation, messaging services, and networked satellite systems. He has an extensive publication record in these areas, including work on technology roadmapping and digital twin implementation. Key Research Areas: Satellite federation and resource sharing CubeSat constellation design Network performance optimization Integration of systems engineering models with AI Selected Trends: Recent work explores digital twin technologies for CubeSats, federated satellite network analysis, and large language model applications in spacecraft design. Publications often combine theoretical frameworks (e.g., network theory) with practical implementations (e.g., LoRa-based messaging services). ORCID Profile: 0000-0001-5993-2994
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.
