Simone Sebben is a Professor at Chalmers University of Technology in the department of Automotive Engineering and Autonomous Systems. She leads the division VEAS and teaches the Aerodynamics course (MTF236) in the Automotive Master Program (MPAUT). Her research focuses on aerodynamics and thermal management of road vehicles, employing numerical methods and industrial collaborations for experimental validation. Key interests include CFD (Computational Fluid Dynamics), crosswind effects on vehicle stability, battery thermal encapsulation, and platoon aerodynamics. Her work addresses challenges such as drag reduction, cabin climate control in electric trucks, and driver perception of vehicle dynamics under aerodynamic excitations. She has contributed to over 69 publications since 1990, with recent projects funded by the Swedish Energy Agency and industry partners. Notable projects include optimization of base cavities for yaw-insensitive drag reduction and analysis of floating bridge dynamics affecting vehicle stability. Sebben’s team investigates tire aerodynamics, brake cooling systems, and wind tunnel interference effects, emphasizing practical applications in automotive design and safety. Her research bridges fundamental fluid dynamics with real-world engineering solutions.
Ashraf Fathi Khalil Sulayman is an Associate Professor at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, DTU Engineering Technology, Technical University of Denmark (DTU). He holds a PhD from the University of Birmingham (2012), and BSc/MSc degrees from the University of Benghazi, Libya (2000/2006). Previously, he served as Head of the Electrical Engineering Department at the University of Benghazi (2012–2015) and was an Assistant Professor at Universiti Teknologi Brunei (2018–2021). His research focuses on renewable energy systems, microgrid optimization, and AI-driven power system control. Key areas include time delay systems, PV integration, and machine learning applications in grid management. His work aligns with UN Sustainable Development Goals, particularly energy sustainability and climate action. Education: PhD, University of Birmingham, UK (2012) MSc, University of Benghazi, Libya (2006) BSc, University of Benghazi, Libya (2000) Research Interests: His interdisciplinary work bridges electrical engineering and sustainable energy, emphasizing: - Renewable energy systems integration - Smart grid technologies - AI/ML for power system control - Microgrid stability and optimization - Photovoltaic system performance analysis Recent Research Trends (2025): Publications highlight advancements in hybrid microgrid control using neural networks, DC microgrid communication protocols, and multi-objective optimization for inverters. Studies also analyze PV impact on distribution networks and model Morocco's future energy landscape, emphasizing renewable dominance and carbon reduction strategies. Advising & Grants: No specific grants or student advisees explicitly listed in the provided text. Labs/Teams: Not explicitly mentioned in the text.
Dr. Mehdi Narimani is an Associate Professor in the Department of Electrical and Computer Engineering at McMaster University, holding the Canada Research Chair in High-Power Converters and serving as the director of the High-Power Electronics Lab (HiPEL). His expertise spans power electronics, high-power conversion, EV fast chargers, and medium-voltage motor drives. He has authored over 160 publications and 13 patents, with research focusing on novel converter topologies, control strategies, and applications in EV charging and renewable energy systems. Education: B.Sc., M.Sc. in Electrical Engineering (Isfahan University of Technology, Iran) Ph.D. in Electrical and Computer Engineering (University of Western Ontario, Canada) Research Interests: Dr. Narimani’s work emphasizes high-power converter systems, medium-voltage motor drives, EV fast charging technologies, and power electronics integration in smart grids. His lab develops innovative solutions for energy-efficient power conversion and EV infrastructure, with a focus on reducing costs and improving reliability through advanced topologies and control techniques. Publications & Trends: Recent work highlights advancements in ultra-fast EV charging stations, medium-voltage architectures, and fault-tolerant motor drives. His research bridges theoretical control methods (e.g., model predictive control) with practical implementations in high-power systems. Awards & Recognition: NSERC Canada Research Chair (Tier 2) McMaster University Scholar (2022) Multiple Best Paper Awards (Journal of Power Electronics, IEEE Conferences) Advising & Grants: Supervises graduate students in power electronics and EV systems. Secured funding through NSERC, industry partnerships, and Canada Research Chair initiatives. Collaborates with industry on projects like EV charger design and renewable energy integration. Labs & Teams: Leads the High-Power Electronics Lab (HiPEL), focusing on advanced converter systems, wireless EV charging, and smart energy solutions. Collaborates with cross-disciplinary teams on projects involving more electric aircraft and community energy systems.
Dr. Ed Long is a Senior Lecturer in Fluids Engineering, focusing on interdisciplinary research at the intersection of fluid dynamics, combustion systems, and environmental applications. His work spans experimental and analytical studies in laser cutting gas dynamics, aerosol technology, and sustainable energy solutions. He has contributed to advancements in engine emissions reduction, battery thermal management, and soil erosion modeling. His research often involves cutting-edge diagnostic techniques such as particle imaging velocimetry and electrochemical analysis. Key research areas include combustion optimization in compression ignition engines, mitigation of hazardous fumes in industrial processes, and improving drug delivery systems through aerosol dynamics. His studies also address environmental challenges like pollution control and sustainable manufacturing. Dr. Long's experimental work frequently employs advanced imaging and sensor technologies to analyze fluid flow, particle behavior, and thermal interactions in complex systems. Though no specific awards are noted, his prolific publication record (over 30 articles from 2006–2024) demonstrates sustained contributions to mechanical, biomedical, and environmental engineering. His research bridges theoretical models with practical applications, such as low-cost turbidity sensors and novel designs for exhaust cleaning modules. Collaborations likely span academic and industrial partners, though specific affiliations are not detailed here.
Sam N Coday is an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT. His research focuses on advanced power converter technologies for aerospace, space, and high-density applications. He leads the Coday Research Group, which develops innovative solutions for radiation-tolerant systems, GaN-based converters, and multilevel converter architectures. His work emphasizes high-efficiency power conversion , miniaturization of passive components , and robust operation in extreme environments . Key areas include resonant switched-capacitor converters, flying capacitor multilevel topologies, and wireless power transfer for battery charging. Recent publications highlight advancements in space robotics power systems, hybrid DC-DC converters for aviation, and radiation-hardened electronics. Coday's team collaborates on flight-qualified hardware for electric aircraft and space applications, prioritizing both theoretical analysis and practical implementation.
Goce Arsov is a Full Professor at the Department of Electronics, Faculty of Electrical Engineering, University 'St. Cyril and Methodius' in Skopje. He has held academic positions since 1971, progressing from Assistant to Full Professor by 1997. His research focuses on power electronics, semiconductor device modeling, and control systems. He has authored numerous publications, including influential works on cycloconverters, PSpice modeling, and switched-capacitor converters. His work bridges theoretical analysis and practical applications in energy systems and automotive electronics. Education: Doctor of Technical Sciences (1992), Faculty of Electrical Engineering, Skopje. Master of Science in Electrical Engineering (1983), University of Belgrade. Diploma in Electrical Engineering (1970), Faculty of Electrical Engineering, Skopje. Research Interests: Prof. Arsov specializes in power electronic systems, semiconductor device modeling, and advanced converter topologies. His work emphasizes practical implementations in automotive systems, renewable energy, and industrial drives. Key areas include cycloconverter control, switched-capacitor circuits, and PSpice-based simulation models. Recent Research Trends: His articles from 2000–2004 highlight advancements in automotive power supplies, bidirectional converters, and fuel-cell applications. Earlier work (1990–1999) focused on triac/BJT modeling and cycloconverter optimization. His contributions span both theoretical and applied aspects, with a focus on energy efficiency and system reliability. Grants and Advising: While specific grants are not listed, his extensive publications suggest sustained research funding. No explicit student advising details are provided. Labs/Teams: Active in the Institute of Electronics at his faculty, collaborating with researchers on semiconductor device analysis and power system design.
Dr Gu Pang is an Associate Professor in Procurement and Operations Management at the Department of Management, Birmingham Business School, University of Birmingham. She joined the university in January 2018 and currently serves as the Head of the Procurement and Operations Management Group. Her academic journey includes a PhD and MSc from Nottingham University Business School and a BSc in Management Science from Lancaster University Management School. PhD, Nottingham University Business School MSc, Operations Management, Nottingham University Business School BSc, Management Science, Lancaster University Management School Gu Pang's research focuses on interdisciplinary areas at the intersection of operations, sustainability, and digital innovation. Her primary interests include blockchain technology, remanufacturing, reverse logistics, closed-loop and sustainable supply chains, food value chains, food waste management, transportation network design, optimization, time series econometrics, machine learning, and digital transformation. She emphasizes student-centered learning and promotes self-sufficient learners through her educational philosophy. Her recent publications (2024–2025) demonstrate a strong trend toward digital transformation and sustainability in supply chains. Her work frequently explores blockchain applications in food safety and remanufacturing, AI in food systems and travel, and optimization of green supply chains. She has contributed to high-impact journals such as Long Range Planning , International Journal of Production Economics , IEEE Transactions on Engineering Management , and Journal of Cleaner Production , reflecting a consistent focus on technological innovation for sustainable operations. Dr Pang has led significant research initiatives, including the EU Horizon 2020 Project VALUMICS on food value chains (€318,555, completed May 2020) and an ESRC Knowledge Transfer Partnership with Byker Community Trust on sustainable marketing (£130,000, completed July 2020). These projects highlight her ability to secure competitive funding and deliver impactful, interdisciplinary research. EU Horizon 2020 Project VALUMICS: Understanding food value chains and network dynamics (€318,555, 48 months) ESRC Knowledge Transfer Partnership: Sustainable and strategic marketing strategy, brand development, and change management (£130,000, 24 months) She teaches courses such as Operations Management, Managing Operations and Projects (Year 2), and Exec MBA (UK) modules. As a Senior Fellow of the Higher Education Academy, she is committed to excellence in teaching. She welcomes PhD applicants interested in machine learning, blockchain, remanufacturing, reverse logistics, closed-loop supply chains, food value chains, and optimization, encouraging informal discussions via email.
James Friend is a Professor at the University of California, San Diego, holding dual appointments in the Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering and the Department of Surgery, School of Medicine. He serves as the Stanford S. and Beverly P. Penner Endowed Chair in Engineering and leads the Medically Advanced Devices Laboratory in the Center for Medical Devices at UCSD. Prior to joining UCSD in November 2014, he spent 14 years as a faculty member in Japan and Australia, where he founded micro/nanofabrication facilities including the $45 million Melbourne Centre for Nanofabrication and served as inaugural director of RMIT University's $35 million MicroNano Research Facility. Jacobs School of Engineering, Department of Mechanical and Aerospace Engineering School of Medicine, Department of Surgery Stanford S. and Beverly P. Penner Endowed Chair in Engineering Director, Medically Advanced Devices Laboratory Professor Friend's research focuses on exploring and exploiting acoustic phenomena at small scales, primarily for biomedical applications. His work spans acoustofluidics, medical device development, micro/nanofabrication, and the application of surface acoustic waves for diagnostics, drug delivery, and therapeutic interventions. He has pioneered techniques for ultrasound neuromodulation, point-of-care diagnostics, and microscale fluid manipulation with applications in neurology, oncology, and pediatrics. His research bridges fundamental acoustic science with practical clinical solutions, emphasizing translational impact. His recent publications reveal a strong emphasis on advancing acoustofluidic technologies for biomedical applications. Key trends include developing point-of-care diagnostic platforms for neurodegenerative diseases, creating novel ultrasound-based neural modulation techniques, and engineering microscale propulsion systems. His work also explores fundamental aspects of acoustic wave behavior at micro and nanoscales, with applications ranging from cell manipulation to battery technology enhancement. The interdisciplinary nature of his research spans engineering, physics, neuroscience, and clinical medicine. AIAA Jefferson Goblet Student Paper Award and ASME Best Paper Award Multiple excellence awards from Monash Faculty of Engineering (2006, 2008, 2011) Future Leader award from Davos Future Summit (2008) Top 10 emerging scientific leader of Australia (2009) Top 50 papers of Applied Physics Letters past 50 years (2012) IEEE Carl Hellmuth Hertz Ultrasonics Award (2015) IEEE Fellow (2018) Highly cited author by Royal Society of Chemistry (2020) UCSD Distinguished Teaching Award (2021) Professor Friend currently supervises 7 PhD students and 1 post-doc in his Medically Advanced Devices Laboratory. Over his career, he has successfully completed 37 postgraduate students and supervised 23 postdoctoral researchers. His research has been supported by over $29 million in competitive grant funding, reflecting the significance and impact of his work. His laboratory operates at the intersection of engineering and medicine, with strong collaborations across disciplines to translate fundamental discoveries into practical medical solutions. The Medically Advanced Devices Laboratory, which Professor Friend leads, focuses on developing innovative medical devices that leverage acoustic phenomena. The lab has developed handheld acoustofluidic circuits, novel centrifugation and separation techniques using omnidirectional spiral surface acoustic waves, and acoustogeometric streaming technologies. Recent projects include superfast battery recharging systems using surface acoustic waves and point-of-care diagnostic platforms for Alzheimer's disease detection. The laboratory maintains strong industry and clinical partnerships to accelerate the translation of research into practical medical applications.
Prof. Marcus Müller is a Professor of Theoretical Physics at the University of Göttingen's Faculty of Physics, Department of Theoretical Physics. His research employs advanced computational methods to investigate fundamental phenomena in polymer systems, soft matter, and biological membranes, with significant contributions to understanding non-equilibrium dynamics and self-assembly processes. His research portfolio spans: Polymer Physics : Dynamics of polymer melts, block copolymer self-assembly, and phase separation mechanisms Soft Matter Physics : Active matter systems, membrane biophysics, and dissipative structures Computational Physics : Development of specialized simulation techniques including peridynamic-enhanced Fourier spectral methods and slip-spring models Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on the interplay between processing conditions and nanostructure formation in block copolymers, with expanding applications to battery electrolytes and biological systems. Key trends include the investigation of non-equilibrium pathways in spinodal decomposition, membrane fission/fusion mechanisms, and reaction-driven organization in active liquids, demonstrating strong integration of theoretical modeling with experimental validation. No scientific awards were documented in the available source material. While specific advising relationships and grant details were not provided, his extensive publication record suggests active mentorship of graduate students in computational soft matter physics. The research direction indicates ongoing investigation of fundamental transport phenomena in polymeric systems with applications to energy storage and cellular biophysics. His work appears conducted within computational research groups at the Department of Theoretical Physics, focusing on molecular simulations and theoretical modeling of complex soft matter systems, with particular emphasis on membrane dynamics and polymer self-assembly under non-equilibrium conditions.
Jari Lietzen serves as a Postdoctoral Researcher within the Department of Information and Communications Engineering at Aalto University, Finland, actively contributing to the Communication Engineering research group. His work focuses on pioneering ultra-low-power communication solutions for next-generation wireless networks, particularly through backscatter technologies that enable battery-free device operation by harvesting ambient energy. His research spans critical domains including Backscatter Communications for Ambient IoT, Physical Layer Security mechanisms like secret key generation, Visible Light Communication integration, and Quantum-Enhanced Wireless Systems. He investigates thin-film device fabrication using additive manufacturing, polarization conversion techniques, and reconfigurable intelligent surfaces for harmonic beam steering, addressing fundamental challenges in energy efficiency and security for constrained IoT environments. Analysis of his 13 publications (2018-2024) reveals a cohesive research trajectory centered on backscatter communications evolution. Key trends include the shift from foundational quantum backscatter paradigms (2018) toward practical hardware implementations like light-controlled thin-film devices (2024) and multi-antenna integrated systems. His work consistently bridges theoretical advances in physical layer security with experimental validation, demonstrating expertise in Sub-1GHz radio systems, satellite communications security, and hybrid VLC-backscatter architectures for ambient IoT. Within Aalto University's Communication Engineering group, Lietzen collaborates extensively on experimental projects involving prototype development and link budget validation, with strong partnerships including Boxuan Xie, Kalle Ruttik, and Riku Jäntti. His research directly supports emerging 6G technologies through innovations in passive wireless infrastructure and quantum-inspired communication protocols.
Laura PIGANI is an Associate Professor at the Department of Chemical and Geological Sciences , University of Modena and Reggio Emilia. With expertise in analytical chemistry, she specializes in electrochemical sensor development for applications in clinical, environmental, and food analysis. Research Interests : Electrochemical sensors, biosensors, chemometrics, and optoelectronic materials. Teaching : Courses in Analytical Chemistry and Chemical Sensors at both undergraduate and postgraduate levels. Her work focuses on portable systems for Cannabis sativa analysis, metal bioaccumulation studies in plants, and multisensor data fusion for agricultural monitoring. Recent publications highlight innovations in THC/CBD discrimination , caffeic acid detection , and deep eutectic solvent applications . Collaborations with forensic and environmental institutions underscore her translational research impact. Techniques : Cyclic voltammetry, screen-printed electrodes, sonogel-carbon devices, and multivariate statistical analysis. Applications : Drug testing, grape ripening monitoring, battery recycling, and sustainable pigment extraction. Dr. PIGANI's laboratory employs advanced materials like carbon black , PEDOT , and metal nanoparticles to develop cost-effective, reusable sensors. Her interdisciplinary approach bridges material science, electrochemistry, and analytical methodology.
Professor John A Rogers is a leading academic in materials science and biomedical engineering, currently holding the Louis Simpson and Kimberly Querrey Professor position at Northwestern University . He is also the founding Director of the Querrey-Simpson Institute of Bioelectronics , with joint appointments in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Chemistry, and Neurological Surgery. His research spans bio-integrated electronics, flexible devices, and nanofabrication technologies. Education : BA/BS in Chemistry and Physics (University of Texas, 1989); SM in Physics and Chemistry (MIT, 1992); PhD in Physical Chemistry (MIT, 1995). Rogers’ work focuses on Soft, skin-like electronics for vital signs monitoring, Bioresorbable devices for cardiac and neural applications, Injectable optoelectronics in neuroscience, and 3D microsystems for biomedical research. His team pioneers stretchable silicon , transient electronics , and bio-inspired fabrication methods. Recent research trends include millimeter-scale pacemakers , wireless skin-interfaced systems , and closed-loop bio-optoelectronics . These innovations leverage flexible substrates , nanoscale thermocapillary flows , and soft lithography for unprecedented biocompatibility and functionality. Scientific Awards : Sigma Xi William Procter Prize (2023), IEEE Biomedical Engineering Award (2023), James Prize (2022), Guggenheim Fellowship (2021), MacArthur Fellowship (2009), and multiple academy fellowships. Rogers leads a multidisciplinary team and has co-authored over 1000 peer-reviewed papers, with more than 100 patented technologies commercialized through startups. His lab’s 3D electronic pericardium and skin-integrated microfluidics exemplify his commitment to translating fundamental science into clinical solutions.
Dr. Junbeom Park is a Staff Scientist in the Institute of Energy Technologies (IET-1) at Forschungszentrum Jülich, Germany, and a member of the In-situ Electron Microscopy (iEM) group . His work focuses on advanced electron microscopy techniques, data processing, and electrochemical material characterization. PhD in Chemical Engineering from Pohang University of Science and Technology (POSTECH), South Korea Current focus on in-situ TEM for low-temperature water electrolysis and solid-state battery materials Key skills: Python-based image processing, 4D STEM analysis, FIB/SEM, and machine learning for microscopy data Research Interests span electron microscopy , in-situ TEM , machine learning in material science , and nanoscale characterization . His work bridges fundamental structural analysis with applications in energy storage and conversion. Trends in Recent Publications emphasize quantitative in-situ liquid-phase TEM , electrochemical mechanism visualization , and automation-driven data analysis . Topics include solid electrolyte interfaces , metal electrodeposition , and nanoscale process optimization . Professional Roles : Chair of Materials Division, VeKNI (2024–Present) Member, K-TAG Europe (2025–Present) Session Chair at Europe-Korea Conferences (2024, 2025) Team Affiliations include collaboration with the iEM group at Forschungszentrum Jülich, specializing in environmental TEM and data-intensive material analysis .
Dr. Anne Bonnin serves as a Beamline Scientist at the Paul Scherrer Institute (PSI) in Switzerland, where she has been instrumental in X-ray imaging research since joining the X-ray Tomography Group in 2014 and assuming her current role at the TOMCAT Beamline in 2016. Affiliated with PSI's Center for Photon Science and Laboratory for Macromolecules and Bioimaging, she operates at the forefront of synchrotron-based imaging techniques. Her academic foundation includes a PhD from INSA de Lyon focused on material properties for explosive detection, followed by postdoctoral work at the European Synchrotron Radiation Facility (ESRF) in X-ray diffraction and phase contrast tomography, and an NSF Research Fellowship for paleontology research at Harvard University and ESRF. Specializing in X-ray imaging (micro/nano-tomography, phase-retrieval) and powder diffraction, Dr. Bonnin leads the bioimaging program at TOMCAT with particular emphasis on the international Heart Imaging Project. Her research develops novel methodologies for materials characterization across diverse domains including cardiac microstructure analysis, paleontology, and neurodegenerative disease modeling, with significant contributions to understanding material behavior at microscopic scales. Her recent publications (2019-2021) demonstrate strong interdisciplinary impact, advancing X-ray imaging applications in energy storage (battery materials), biomedical research (cardiac/auditory systems), and materials engineering (aerogels). A defining trend is the integration of machine learning for image analysis, alongside methodological innovations like non-rigid image stitching and Fourier ptychography. These works reflect extensive international collaboration and address critical challenges in healthcare, energy, and fundamental material science. Dr. Bonnin leads the Heart Imaging Project to quantify cardiac microstructure using contrast-agent-free X-ray phase-contrast imaging, while actively contributing to the SLS2.0 upgrade project preparing TOMCAT for multiscale, multimodal, and dynamic tomographic capabilities. Her collaborative framework spans global researchers in materials science, paleontology, and biomedical engineering. As manager of the TOMCAT nanoscope—a full-field imaging setup achieving 150 nm 3D resolution—she enables cutting-edge research in absorption and phase-contrast imaging. Her team within the X-Ray Tomography Group drives the bioimaging program forward, particularly through the Heart Imaging Project's dynamic cardiac studies using modified Langendorff setups.
Balwin Bokor is a Researcher at Steyr University of Applied Sciences, affiliated with the Department of Production and Operations Management. His work focuses on industrial systems, simulation modeling, and sustainable manufacturing practices. Bachelor of Arts (BA), Master of Science (MSc) Research Interests: Bokor's research spans production engineering and operations management, emphasizing energy efficiency, logistics optimization, and simulation-based analysis. His studies address material requirements planning (MRP), constant work-in-process (CONWIP) systems, and flexible capacity adjustments in multi-stage production environments. Article Trends: Recent publications highlight simulation-driven approaches to production planning, energy cost balancing, and control system optimizations. These works align with Industry 4.0 trends in smart production and sustainable logistics. Scientific Awards: Recipient of the Würdigungspreis (2022), an Austrian award recognizing academic merit. Collaborations: Active in cross-institutional research networks, with collaborations in production system engineering, battery manufacturing, and energy reduction strategies. His work contributes to the 'fingerprint' research areas identified by Steyr University of Applied Sciences.
