جست‌وجوی استاد و پژوهشگر

• Systems Engineering
• Sustainability
• Energy
• +۵ مورد دیگر

Professor Parisa A. Bahri is the Pro Vice Chancellor for the College of Science, Technology, Engineering and Mathematics at Murdoch University . She holds a PhD in Chemical Engineering from Sydney University and serves as a Professor of Engineering. Her research focuses on systems engineering, sustainability, and algal systems, with applications in energy, waste treatment, and techno-economic modeling. Research Interests : Microalgal bioremediation of industrial effluents Decarbonization strategies for energy and transport systems Techno-economic analysis of bioprocesses Integration of renewable energy with water systems Education : Doctor of Philosophy in Chemical Engineering, Sydney University Recent Publications highlight advancements in microalgal cultivation techniques, critical mineral supply chains, and sustainable energy-transport nexus. Key tools include computational fluid dynamics, scenario planning, and life cycle assessments.

• Flexible micro/nano electronics
• Printable devices
• Self-powered systems
• +۳ مورد دیگر

Dr. Yuanjing Lin is an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology. Her research centers on nanostructured materials and fabrication techniques for printable/wearable electrochemical sensors and energy storage devices, with applications in self-powered systems, health/environmental monitoring, and intelligent robotics. Ph.D., Electronic and Computer Engineering, Hong Kong University of Science and Technology (2014–2018) Visiting Research Student, UC Berkeley (2018) B.Eng., Electronic Science and Technology, Nankai University (2010–2014) Her work bridges flexible electronics, self-powered sensing, and digital healthcare. She has contributed to over 50 publications in top journals like Nature , Nature Nanotechnology , and Science Advances , focusing on wearable biosensors, textile electronics, and energy storage systems. Articles highlight advancements in printable photonic materials, sweat-activated micro-batteries, and self-powered sensing systems, with trends in flexible micro/nano electronics, biomedical applications, and sustainable energy solutions. IAAM Fellow (2025) Nano Letters Early Career Board (2025) Nanoscale Emerging Investigators (2024) SUSTech Excellent Teaching Award (2023) iCanX Summit Best Paper Award (2022) Dr. Lin actively recruits graduate/postdoctoral researchers in sensors, flexible electronics, and biomedical engineering. She serves as Associate Editor for Frontiers in Nanotechnology and editorial board member for Nano Letters , Biosensors , and FlexMat .

Zhao Zhigangمشاهده پروفایل

دانشیار

• Hyperspectral Imaging
• Machine Learning
• Embedded Systems
• +۵ مورد دیگر

Zhao Zhigang is an Associate Professor at the School of New Materials and New Energy, Shenzhen University of Technology, where he has been employed since May 2017. Previously, he served as a Lecturer at the School of Optoelectronic Engineering, Shenzhen University (2013-2017) and completed postdoctoral research at Shenzhen University (2010-2012) after earning his PhD from Huazhong University of Science and Technology. His academic journey began with undergraduate and master's studies at PLA Ordnance Engineering College (now Army Engineering University). His educational background includes: PhD in Optical Engineering, Huazhong University of Science and Technology (2005-2010) Master's in Optical Engineering, PLA Ordnance Engineering College (2002-2005) Bachelor's in Military Optoelectronic Engineering, PLA Ordnance Engineering College (1995-1999) Zhao's research focuses on hyperspectral imaging systems and machine learning applications for material classification. His work emphasizes embedded image data acquisition and processing using ARM and FPGA platforms, with significant contributions to micro-hyperspectral imaging technology. His research spans three primary areas: hyperspectral image processing on ARM/FPGA systems, machine learning applications in spectral analysis, and embedded AI implementations on FPGA/Zynq platforms. This interdisciplinary work bridges optical engineering, computer vision, and hardware design. Analysis of his recent publications reveals a strong emphasis on hyperspectral data compression techniques , machine learning applications for spectral analysis , and embedded system implementations . His work demonstrates a consistent focus on practical applications of hyperspectral imaging in fields ranging from food quality assessment to battery health monitoring, with increasing incorporation of deep learning techniques in recent years. His scientific recognition includes: Multiple teaching awards at Shenzhen University of Technology (2019-2024) Shenzhen City high-level professional talent designation (2016) Numerous national competition awards as student supervisor (2016-2023) Outstanding Paper Award at Shenzhen Optical Society (2010) Zhao has secured substantial research funding as Principal Investigator, including horizontal projects (2023-2024), Shenzhen Postdoctoral Research Funding (2019-2020), and Shenzhen Basic Research Projects. He has successfully guided students in academic competitions, resulting in five national first prizes. His research group maintains strong industry connections through multiple school-enterprise cooperation projects focused on practical applications of hyperspectral imaging technology. His laboratory work centers on FPGA-based embedded systems for hyperspectral imaging, with recent projects developing micro-hyperspectral spectrometers for UAV platforms, real-time video processing systems, and specialized hardware for spectral data acquisition and compression. These efforts demonstrate a clear trajectory from fundamental optical engineering toward practical applications of machine learning in spectral analysis.

Nicholas Kotovمشاهده پروفایل

استاد

• Nanomaterials
• Nanomedicine
• Self-assembly
• +۵ مورد دیگر

Nicholas Kotov serves as the Joseph B. and Florence V. Cejka Professor of Chemical Engineering at the University of Michigan with joint appointments in Biomedical Engineering, Materials Science & Engineering, and Macromolecular Science & Engineering within the College of Engineering. His research laboratories are housed at the North Campus Research Complex (NCRC) in Ann Arbor, where he directs cutting-edge work at the intersection of nanotechnology and biomedicine. His academic foundation includes: M.S. in Chemistry from Moscow State University (1987) Ph.D. in Chemistry from Moscow State University (1990) Professor Kotov's research program centers on nanostructured materials for biological and medical applications, with particular emphasis on chiral nanomaterials and self-organizing colloidal systems. His group pioneers biomimetic approaches to material design, drawing inspiration from natural hierarchical structures. Current investigations focus on chiral quantum magnets, aramid nanofiber composites, and graph-theoretical frameworks for nanomaterial design. Recent publications demonstrate strong integration of machine learning with experimental nanofabrication, yielding breakthroughs in energy storage, biosensing, and optical devices with applications ranging from SARS-CoV-2 antivirals to terahertz radiation detection. Scientific Recognition: No major awards explicitly documented in source materials He mentors graduate researchers including Ji Young Kim and Terry Shyu, with projects spanning nanomedicine, energy storage, and advanced manufacturing. His lab maintains active industry partnerships and international collaborations, notably in African materials science capacity building. Current funding supports development of chiral optical devices, biomimetic scaffolds for tissue regeneration, and next-generation battery technologies. The Kotov Lab operates specialized facilities at NCRC B26-102S and 108S for nanomaterial synthesis, cryogenic electron tomography, and chiroptical characterization. Research teams integrate chemical engineering, materials science, and biomedical principles to create functional nanosystems with precise structural control.

Christopher Liمشاهده پروفایل

استاد

• Materials Science
• Polymer Science
• Energy Storage
• +۳ مورد دیگر

Christopher Li is a Professor and Graduate Advisor in the Department of Materials Science and Engineering at Drexel University. He joined Drexel in January 2002 as an assistant professor, was promoted to associate professor in 2007, and to full professor in 2011. His research focuses on the structure-morphology-property relationships of complex soft and hybrid materials, particularly ordered polymeric systems with applications in energy storage and biomedical fields. Education: PhD in Polymer Science from The University of Akron (1999), BS in Polymer Chemistry from the University of Science and Technology of China (1995). Li’s research explores crystalline, liquid crystalline, and block copolymer systems, emphasizing their use in advanced manufacturing and functional materials. His group develops innovative methods like polymer single-crystal templating, holographic polymerization, and self-assembly techniques to create nanocapsules, hybrid electrolytes, and bio-inspired nanostructures. These approaches address challenges in energy storage, such as lithium metal battery stability, and biomedical applications like mimicking bone nanostructures. His publications highlight breakthroughs in polymer-carbon nanotube composites, ion conducting pathways, and nanomotor design. Awards include Fellowships from the American Physical Society and North American Thermal Analysis Society (NATAS), NSF-CAREER and Creativity Awards, and multiple Outstanding Research Awards from Drexel University. Scientific Awards: Fellow of American Physical Society Fellow of NATAS NSF Creativity Award 2011 Alexander von Humboldt Research Fellowship 2010 NSF-CAREER Award 2003-2008 3M Fellowship 2006 DuPont Young Faculty Award 2005-2007 PERKIN ELMER – ICTAC Young Scientist Award 2004 Li serves on the Editorial Advisory Boards of Macromolecules , ACS Macro Letters , Polymer , and Journal of Thermal Analysis and Calorimetry . He leads the Soft Materials Group at Drexel, fostering interdisciplinary collaborations with labs like the Maurice Morton Institute of Polymer Science.

• Aerospace Engineering
• Flight Dynamics
• Aircraft Design
• +۳ مورد دیگر

Karim Abu Salem serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace, and Automotive Engineering. He additionally holds invited membership in the College of Management and Production Engineering. His teaching portfolio includes Aerospace Vehicle Design, Space Flight Mechanics/Structures, Space Environment Operations, and Aeronautical Legislation courses for both bachelor's and master's programs in Aerospace Engineering. Dr. Abu Salem's research centers on sustainable aviation innovation, specializing in box-wing aircraft configurations, hybrid-electric and hydrogen propulsion systems, and advanced structural design methodologies. His work addresses critical challenges in emissions reduction, flight dynamics optimization, and climate impact mitigation through computational modeling, metamodeling techniques, and multidisciplinary design analysis. Key focus areas include unconventional aircraft architectures, power management systems, and metamaterial applications for next-generation aerospace vehicles. Analysis of his recent publications (2023-2025) reveals a concentrated research trajectory toward decarbonizing regional and medium-range aviation. His work demonstrates increasing emphasis on liquid hydrogen propulsion, box-wing aerodynamic efficiency, and holistic environmental impact assessment beyond CO 2 emissions. The publications exhibit strong collaboration patterns with researchers like G. Palaia and E. Carrera, primarily targeting high-impact journals in aerospace engineering and sustainability. As an active educator, Dr. Abu Salem contributes to curriculum development across multiple aerospace engineering programs, bridging theoretical concepts with emerging sustainable aviation technologies through his course collaborations and lectures.

Feixiong Liaoمشاهده پروفایل

استادیار

• Urban Planning
• Transportation Systems
• Mobility Behavior
• +۳ مورد دیگر

Feixiong Liao is a tenured Assistant Professor in Urban Planning and Transportation at Eindhoven University of Technology. He serves as Education Coordinator for the USRE Unit and holds affiliations with EAISI Mobility. His research focuses on developing large-scale urban transportation planning models. Education includes a doctorate degree (cum laude) from TU/e, where he developed multi-state supernetwork approaches for metropolitan accessibility. Post-doctoral research involved international collaborations on travel behavior analysis. Research interests center on network modeling for mobility demand, accessibility measurement in urban contexts, behavior analysis with bounded rationality, service innovation for mobility issues, and sustainability in mobility-energy-social nexuses. His work integrates land-use transport modeling, AI applications, and climate-neutral mobility solutions. Publications show strong focus on transportation modeling innovations, particularly in multimodal systems, activity-travel behavior, and sustainable mobility solutions. Recent works increasingly incorporate machine learning and big data approaches to urban mobility challenges. Best Paper Award (in CTS) 2019 Best Paper Award (POMS in China) 2019 Education Innovation Fund 2020 HKSTS Best Student Paper Award 2011 Supervises 5-7 PhD students and post-docs annually. Leads the international joint research program JPI Urban Europe (2019-2024) on accessibility valuation. Secured multiple grants including a five-year education innovation fund for challenge-based learning in smart mobility. Leads research groups including EAISI Mobility and Urban Planning and Transportation Group. Coordinates the UBeX Urban Behavior eXtended reality lab project until 2026.

Johan Klarbringمشاهده پروفایل

استادیار

• Material Science
• Energy Materials
• Computational Physics
• +۶ مورد دیگر

Johan Klarbring is an Assistant Professor in the Department of Physics, Chemistry and Biology (IFM) at Linköping University. His research focuses on theoretical material science using ab initio computational methods to study energy materials such as solid oxide fuel cells, batteries, solar cells, and thermoelectric devices. He combines quantum mechanics and statistical physics to analyze phase stabilities and electronic properties of dynamically disordered solids. His work emphasizes computational approaches to understand material behavior at finite temperatures, including defect formation, ionic transport, and anharmonic effects. Collaborations involve international teams and cutting-edge facilities like supercomputers for large-scale simulations. Key research themes include perovskite materials, machine learning force fields, and thermoelectric properties. Notable contributions address dynamic nanodomains in perovskites and vacancy-driven ion conduction mechanisms. His group (Ab initio methods and energy materials (TEAM)) explores eco-friendly applications of disordered solid materials. Recent projects include studies on lead-free perovskites, superionic transitions, and magnetism in halide double perovskites. He has contributed to over 30 peer-reviewed articles, with high-impact work in Nature Nanotechnology and Chemical Science .

David W. Hahnمشاهده پروفایل

استاد

• Laser Spectroscopy
• Analytical Chemistry
• Materials Science
• +۵ مورد دیگر

David W. Hahn serves as the Dean of the College of Engineering at the University of Florida. With a distinguished career in engineering and applied physics, he has established himself as a leading expert in laser spectroscopy and thermal energy conversion technologies. Dr. Hahn's research spans multiple disciplines within engineering and physical sciences, with a primary focus on Laser-Induced Breakdown Spectroscopy (LIBS) and related analytical techniques. His work encompasses: Development and application of LIBS for materials analysis Thermal energy conversion and solar fuel production Plasma physics and laser-matter interactions Chemical analysis of complex materials including aerosols and energy storage systems Advanced spectroscopic techniques for security and environmental applications Analysis of Dr. Hahn's recent publications (2019-2025) reveals a consistent research trajectory centered around laser-based analytical techniques, particularly LIBS. His work demonstrates increasing sophistication in applying these methods to challenging problems in energy storage safety, environmental monitoring, and materials characterization. Notably, there's a strong emphasis on practical applications of fundamental spectroscopic principles, with numerous publications addressing real-world challenges in battery safety, explosive detection, and renewable energy technologies. Dr. Hahn has made significant contributions to the development of laser-based analytical methods, particularly in: Advancing LIBS for aerosol and particle analysis Developing novel approaches for solar thermochemical energy conversion Creating improved methods for chemical characterization of energy storage systems Applying spectroscopic techniques to security and defense applications Contributing to fundamental understanding of laser-matter interactions

Alastair Fraserمشاهده پروفایل

مدرس ارشد

• Environmental Economics
• Energy Economics
• Climate Finance
• +۳ مورد دیگر

Alastair Fraser is a Senior Lecturer in the School of Economics at The University of Sydney. He specializes in environmental economics and climate finance, with a focus on electricity system decarbonization and investor climate mitigation strategies. He is affiliated with the Sydney Environment Institute and the Net Zero Institute. His research explores transition risks, portfolio emissions metrics, and household energy behavior under conservation policies. Fraser has advised one current research student investigating energy storage technologies in Australia. Research Interests: Environmental Economics, Energy Economics, Climate Finance, International Trade Affiliations: Sydney Environment Institute, Net Zero Institute His publications span environmental policy analysis, energy economics, and nanotechnology. Advising activities include supervision of projects on battery storage systems. Grants and funding details are not explicitly documented in provided texts. Labs/Teams: Active member of interdisciplinary climate research groups at The University of Sydney.

• Electrical Engineering
• Automotive Engineering
• Machine Learning
• +۳ مورد دیگر

Shengdun Zhao is an active researcher in the fields of Electrical Engineering, Automotive Engineering, and Machine Learning, contributing extensively to optimization techniques and control systems for electric vehicles and motors. His work spans journals like IEEE Transactions on Vehicular Technology and Journal of Intelligent & Fuzzy Systems , focusing on practical applications of deep reinforcement learning, meta-learning, and multi-objective optimization. Key research areas: Electric motor control, energy management systems, and clustering algorithms. Collaborates with researchers such as Yiming Zhang, Wei Du, Chee-Kong Chui, and Chin-Boon Chng. His publications from 2007–2025 address technical challenges in mechatronics, sustainable transportation, and data-driven engineering solutions. Research Trends Recent articles highlight Zhao's emphasis on deep reinforcement learning for motor control, meta-learning in energy systems, and evolutionary algorithms for multi-objective optimization. He integrates machine learning with automotive engineering to improve electric vehicle efficiency and motor performance.

• Low-Power RF Circuits
• Analog and Mixed-Signal ICs
• Wireless Applications
• +۳ مورد دیگر

Saul Rodriguez Duenas is a Professor at the Division of Electronics and Embedded Systems, part of the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology in Stockholm, Sweden. Previously, he held an Associate Professor position at KTH. He obtained his B.Sc. in Electrical Engineering from the Army Polytechnic School (ESPE) in Ecuador, followed by M.Sc. and Ph.D. degrees in System-on-Chip Design and Electronic and Computer Systems from KTH. He also holds a Docent title in Integrated Devices and Circuits from KTH. His research focuses on low-power RF, analog/mixed-signal ICs for wireless applications, biomedical systems, and energy harvesting. He is the founder of ElinTronics AB, a consulting firm specializing in embedded systems and mixed-signal ASICs. Rodriguez teaches multiple courses at KTH, including Analog Electronics, Analog Integrated Circuits, and RF Integrated Circuit Design. His work spans over 90 publications in peer-reviewed journals and conferences, with a strong emphasis on biomedical circuits, energy-efficient systems, and sensor technologies. He has contributed to patents in implantable sensors and health monitoring systems.

Mo-Yuen Chowمشاهده پروفایل

استاد

• Micro/Smart Grids Energy Management
• Collaborative Distributed Control
• Battery Modeling and State Estimation
• +۴ مورد دیگر

Mo-Yuen Chow is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NCSU), holding the position since July 1999. He also serves as a Qiushi Chair Professor at Zhejiang University, China, and a Chang Jiang Visiting Chair Professor (2010–2013). His research focuses on Micro/Smart Grids Energy Management, Collaborative Distributed Control, and Battery Modeling. He holds significant IEEE awards, including Fellow status (2007) and the Dr.-Ing. Eugene Mittelmann Achievement Award (2020). Chow earned his Ph.D. in Electrical Engineering from Cornell University (1987), following an M.Eng. (1983) and B.S. (1982) from the University of Wisconsin-Madison. His work spans battery health monitoring, distributed control systems, and cyber-physical security in smart grids. Notable contributions include innovations in battery state-of-charge estimation and resilient microgrid management frameworks. His publications emphasize cybersecurity in distributed energy systems, AI-driven energy management, and fault diagnosis in battery systems. He has pioneered frameworks like the DEED-ADMM algorithm for multi-energy systems and developed models for solid electrolyte interface growth in lithium-ion batteries. Awards: Over 10 major IEEE awards, including recognition for service and education. Research Themes: Smart grids, distributed control, battery systems, and cyber-physical resilience. Labs/Projects: DC microgrid testbeds and collaborative distributed energy management systems.

Farshid Naseriمشاهده پروفایل

دانشیار

• Electric Vehicles
• Battery Management Systems
• Power Electronics
• +۵ مورد دیگر

Farshid Naseri serves as an Associate Professor at AAU Energy within The Faculty of Engineering and Science at Aalborg University, Denmark. His research centers on advancing electric vehicle technologies through innovations in energy storage, power electronics, and control systems, with significant contributions to battery and supercapacitor management. Education: Ph.D. in Electrical Engineering specializing in State Estimation in Advanced Electric Vehicles Research Focus: Dr. Naseri's work spans Electric Vehicles , Battery Management Systems , and Energy Storage , with emphasis on state estimation, predictive control, and system stabilization. His fingerprint analysis reveals core expertise in Supercapacitor engineering (100%), Kalman Filtering (100%), and State of Charge determination (100%), reflecting deep specialization in electrochemical energy systems for sustainable transportation. Publication Trends: Recent publications (2020-2025) demonstrate a strategic evolution from foundational supercapacitor modeling toward AI-integrated battery management and cybersecurity for connected vehicle systems, with increasing focus on real-world vehicular applications and next-generation lithium iron phosphate cells. Scientific Recognition: Awarded Europe's most prestigious research grant in 2025 for groundbreaking work in electric vehicle technology Research Leadership: Principal Investigator for the DeepBMS project (2023-2025), developing deep reinforcement learning-based battery management systems. His work directly contributes to UN Sustainable Development Goal 7 (Affordable and Clean Energy) through advancements in electric mobility infrastructure. Research Environment: Active member of the E-Mobility and Drives research group at AAU Energy, collaborating with international partners on cutting-edge projects at the intersection of power electronics, artificial intelligence, and sustainable transportation systems.

Joris de Hoogمشاهده پروفایل

پژوهشگر

• Lithium-Ion Batteries
• Battery Degradation Modeling
• Electrochemical Systems
• +۳ مورد دیگر

Joris de Hoog is a postdoctoral researcher and business developer at the Battery Innovation Centre within the Electromobility Research Centre (MOBI) at Vrije Universiteit Brussel (VUB). He holds a PhD from VUB's Department of Electrical Engineering and Power Electronics (2018) and has industry experience as an Application Engineer at Flanders Make and Project Manager at Engie France. His research focuses on state estimation modeling for lithium-ion batteries, particularly in stationary storage systems and next-generation battery technologies. He also advises PhD candidates on electrical and electrochemical research topics. Key Projects: GEARING MOBI (2025-2029): Electric vehicle technology development PHOENIX (2023-2027): Self-healing battery systems BATTLE (2014-2017): Lithium battery modeling His work spans applied and fundamental research in battery degradation, thermal management, and electrochemical systems. He actively engages in project proposal development for EU and national funding initiatives, tracking European battery manufacturing and regulatory frameworks.