جست‌وجوی استاد و پژوهشگر

Andrew Greasleyمشاهده پروفایل

مدرس

• Discrete-Event Simulation Modelling
• Hybrid Modelling (Simulation & Machine Learning)
• Supply Chain Management
• +۵ مورد دیگر

Dr. Andrew Greasley is a Lecturer in Supply Chain Analytics and Modelling at Aston University's Department of Engineering Systems and Supply Chain Management. He holds a PhD in Simulation Modelling and an MBA. His research focuses on discrete-event simulation, hybrid modelling (combining simulation with machine learning), and supply chain resilience against disruptions. He has extensive industry experience, including consultancy projects with ABB, Rolls Royce, and Warwickshire Police. His academic contributions include over 150 publications, including 28 books such as Business Information Systems and Operations Management . He is an editorial board member of the Journal of Manufacturing Technology Management and has taught at institutions in the UK, Europe, and Africa. Dr. Greasley has supervised six PhD/DBA/MPhil students and received recognition for teaching excellence from the University of Warwick in 2023. His research outputs span simulation methodologies, supply chain design, and digital twin applications. Key themes include environmental factors in battery reverse supply chains, disruption frameworks, and collaborative logistics. His work emphasizes practical business applications and interdisciplinary collaboration. Education: PhD in Simulation Modelling, MBA Awards: Highly Commended Award (2004), Warwick Recognition (2023) Teaching: Modules on supply chain analytics, simulation modelling, and operations management Consultancy: Projects with ABB, Golden Wonder, and Warwickshire Police His editorial and professional activities include contributing to academic journals and advancing simulation practices globally.

Brian Priceمشاهده پروفایل

مدرس

• Product Development
• Engineering Project Management
• Sustainable Engineering
• +۶ مورد دیگر

Brian Price is a Lecturer in Engineering Systems & Supply Chain Management at Aston University's College of Engineering and Physical Sciences. He also serves as an Adjunct Professor at the University of Wisconsin-Madison, teaching on engineering masters programs. His research focuses on product development decision-making, engine architecture analysis, engineering project management, and sustainable technologies. He holds a PhD in Engineering from Aston University (2016) and has extensive industry experience spanning 25 years in senior engineering roles across automotive, aerospace, and manufacturing sectors. Education: MSc Engineering Design (Loughborough University, 1994); MEng (University of Wisconsin-Madison, 2003); MEd Higher Education (Aston University, 2019); PhD (Aston University, 2016). His research interests integrate product lifecycle management, lean manufacturing, and sustainable engineering. He leads the Sustainable Environment Research Group and contributes to the Research Centre for the Humanities. As Chief Editor of the International Journal for the History of Engineering & Technology , he bridges historical and contemporary engineering practices. He has supervised six PhD candidates in areas like product lifecycle modeling and decision-making frameworks. Professional roles include visiting lecturerships at Loughborough University and Hanyang University, alongside affiliations with the Society of Automotive Engineers and Newcomen Society. His work emphasizes applying biological analogies and adaptive systems to engineering challenges.

Xianghong Maمشاهده پروفایل

مدرس ارشد

• Micro/Nano technologies
• Biomedical engineering
• Nonlinear dynamics and control
• +۴ مورد دیگر

Xianghong Ma is a Senior Lecturer in Mechanical, Biomedical & Design Engineering at Aston University, affiliated with the College of Engineering and Physical Sciences. She leads research in micro/nano technologies, biomedical engineering, nonlinear dynamics, and vibration analysis. Her work integrates smart manufacturing, healthcare technologies, and sustainable engineering. Dr. Ma holds a BE and ME from University of Science and Technology Beijing, and a PhD from University of Illinois at Urbana-Champaign. She has 20+ years of academic and industry experience, including roles at General Electric's Global Research Center. Her research focuses on biomedical device development, energy harvesting systems, and advanced manufacturing processes. Key areas include spinal biomechanics modeling, magnetic hyperthermia cancer treatments, and renewable energy applications in water desalination. She has supervised 8 graduate students and published over 75 peer-reviewed articles. Dr. Ma is a Fellow of the Institution of Mechanical Engineers (IMechE) and chartered engineer. She contributes to the Aston Research Centre in Health Ageing (ARCHA), specializing in technologies for healthy ageing.

Enrique Dansمشاهده پروفایل

استاد

• Technology and Society
• Artificial Intelligence
• Digital Economy
• +۶ مورد دیگر

Dr. Enrique Dans is a Professor of Information Technologies and Systems , known for his critical analysis of technology's societal, corporate, and political implications. His work bridges interdisciplinary themes across Artificial Intelligence , Digital Economy , and Global Technology Policy . Key Research Areas: Technology and Society, AI Ethics, Digital Currency, and Market Dynamics. Recent Focus: Analyzing antitrust issues in tech monopolies (e.g., Perplexity’s Chrome bid), geopolitical impacts of AI on U.S.-China relations, and decentralized energy systems. Publications: Regularly contributes to Medium and his personal blog Enrique Dans , covering topics like AI chatbot regulation, digital sovereignty, and corporate tech strategies. Notable Quotes: “Technology is politics by other means,” and “The digital euro debate is fundamentally political.”

YangQuan Chenمشاهده پروفایل

استاد

• Unmanned Aircraft Systems (UAS)
• Mechatronics
• Renewable Energy Systems
• +۷ مورد دیگر

YangQuan Chen is a Professor in the Department of Mechanical Engineering at the University of California, Merced. His research focuses on unmanned aircraft systems, mechatronics, renewable energy systems, cyber-physical systems, and applied fractional calculus. He leads multiple labs, including locations at SE2-273 and 4225 N. Hospital Rd., Atwater, CA. His work integrates advanced control theory, robotics, and digital twin frameworks for applications in environmental monitoring, precision agriculture, and energy systems. Education: PhD (1998) from Nanyang Technological University, Singapore; M.S. (1989) and B.S. (1985) from Chinese institutions. His research emphasizes interdisciplinary approaches, combining fractional calculus with machine learning for real-world challenges like pandemic modeling, UAV-based emission tracking, and smart agriculture. Key research areas include: Unmanned Aircraft Systems (UAS) for environmental and agricultural applications Cyber-physical systems and digital twin frameworks Applied fractional calculus in control systems and epidemiology Machine learning for soil carbon sensing and crop monitoring Recent work explores UAV swarms for methane emission quantification, battery health-aware mission planning, and physics-informed neural networks for state estimation. His lab develops innovative solutions for renewable energy systems, such as adaptive controllers for proton exchange membrane electrolyzers and robust consensus strategies for multi-agent systems. Awards and recognition include prominent citations on Google Scholar and ResearchGate. Ongoing projects involve collaboration with industry and government agencies on smart agriculture, environmental sensing, and energy efficiency.

Robin Preeceمشاهده پروفایل

دانشیار

• Power Systems
• Uncertainty Analysis
• Grid Stability
• +۳ مورد دیگر

Dr. Robin Preece is a Reader in Future Power Systems at the University of Manchester's Department of Electrical and Electronic Engineering. He holds a BEng (2009) and PhD (2013) from the same institution, followed by postdoctoral and academic roles since 2014. His research focuses on power system security, dynamic performance of AC/DC grids, and uncertainty-driven stability analysis. Key interests include stochastic security assessment, integration of VSC-HVDC and energy storage, and risk-based approaches to system resilience. He is a Senior Member of IEEE PES, Chartered Engineer (IET), and Fellow of the Higher Education Authority. Preece has over 60 international publications, speaks at leading conferences, and advises DNOs/TSOs. Teaching roles include unit leadership for power systems analysis (EEEN30047/40312) and supervision of 4th-year team projects. His projects address grid-scale storage interfaces (Inter-Storage), power electronic transformers (PEET), and energy network resilience (SUPERGEN). Recent work explores cascading outages mitigation, compressed air storage modeling, and MMC-HVDC stability under time delays. Key achievements include developing probabilistic stability frameworks, advancing VSC-HVDC control strategies, and contributing to standards via CIGRE/IEEE collaborations. Current opportunities focus on emerging technologies' impact on stability, uncertainty quantification, and non-conventional generation services.

• Electrical and Electronic Engineering
• Mechanical Engineering
• Applied Mathematics
• +۷ مورد دیگر

Simos Evangelou is a Reader in Systems Engineering at the Department of Electrical and Electronic Engineering, part of the Faculty of Engineering at Imperial College London. He holds a BA/MEng from the University of Cambridge and a PhD in Control Engineering from Imperial College London. His expertise lies in applying control engineering to real-world dynamical systems, with industry collaborations in automotive and aerospace sectors. He emphasizes innovation, patent development, and practical applications of research for societal and economic benefit. His core skills include analytical problem-solving, project management, and multi-tasking under pressure. Research interests span Electrical and Electronic Engineering, Mechanical Engineering, Applied Mathematics, and interdisciplinary fields like Aerospace and Manufacturing Engineering. His work focuses on control systems, hybrid electric vehicles, active suspensions, and energy management strategies. Notable contributions include advancements in model predictive control, autonomous vehicle coordination, and robust control frameworks for vehicular systems. Dr. Evangelou’s research also extends to subsea engineering, including design verification processes for oil and gas products, and optimization of transportation systems in urban environments. He collaborates with the Control and Power Research Group at Imperial College, fostering cross-disciplinary innovation.

Claire Adjimanمشاهده پروفایل

استاد

• Process Design
• Molecular Engineering
• Thermodynamics
• +۵ مورد دیگر

Claire Adjiman is a Professor of Chemical Engineering at Imperial College London, affiliated with the Faculty of Engineering and the Department of Chemical Engineering. She holds an MEng from Imperial College London and a PhD from Princeton University. Her research focuses on integrating molecular-level decisions into process design, emphasizing multiscale process and molecular/materials design, property prediction, and optimization algorithms. She collaborates extensively with industries such as oil and gas, pharmaceuticals, and agrochemicals, and has licensed thermodynamic modeling software. Adjiman directs the Sargent Centre for Process Systems Engineering and serves as Editor-in-Chief of the RSC-IChemE journal MSDE. Adjiman's work bridges molecular-level decisions with process design, addressing limitations in traditional sequential decision-making. Her methodologies aim to enhance process economics and sustainability by expanding design spaces through computational tools. Key affiliations include the Agri Futures Lab, Centre for Advanced Therapeutics, and the Institute for Molecular Science and Engineering. Her research spans topics like solvent design for pharmaceutical processes, CO 2 capture technologies, and crystal structure prediction. She emphasizes holistic approaches to reduce environmental impact and improve material/energy efficiency. Recent projects include the HiRECORD initiative for scalable CO 2 capture systems and the development of predictive models for drug manufacturing processes. Adjiman's contributions to computational methods, including the SAFT-γ Mie equation of state and optimization algorithms, underpin her work in advancing sustainable industrial processes. Her lab's innovations aim to transform traditional manufacturing practices through data-driven and integrated design strategies.

Feifei Baiمشاهده پروفایل

مدرس ارشد

• Renewable Energy Integration
• Power Systems
• Smart Grid Technology
• +۴ مورد دیگر

Dr. Feifei Bai is a Senior Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland (UQ), and an adjunct Senior Research Fellow at Griffith University. She holds an Advance Queensland Fellowship (2018) and has secured over $4.6M in research grants. Her research focuses on renewable energy integration, power system stability, and smart grid technologies. She collaborates with industry partners like Energy Queensland and Powerlink, and her work has led to commercialized patents and an Australian Engineering Excellence Award (2020). Education: PhD in Engineering from Southwest Jiaotong University. Active editorial roles include Associate Editor for IET Generation, Transmission & Distribution and Assistant Editor for International Journal of Green Energy. Research Interests: Renewable energy systems, synchrophasor applications, power system oscillation control, and cybersecurity. Her work bridges theoretical advancements with practical industry solutions, emphasizing grid resilience and efficient energy management. Publications: Over 75 journal/conference papers (2025 highlights include EV charging optimization, microgrid scheduling, and Bayesian frequency modeling). Her research trends emphasize smart grid innovation, renewable integration challenges, and advanced control strategies for high-renewable grids. Awards: Advance Queensland Fellow (2018), Australian Engineering Excellence Award (2020). Grants & Industry: $4.6M in funded projects. ARENA-backed research on EV charging infrastructure received national recognition. Active in industry partnerships for technology deployment. Labs/Teams: Leads the Power & Energy Systems Research Group at UQ, contributing to initiatives like the Flexible Urban Energy Systems special issue (2021).

Dan Gladwinمشاهده پروفایل

استاد

• Electrical Energy Storage
• Power Electronics
• Control Systems
• +۷ مورد دیگر

Professor Dan Gladwin is a Professor of Electrical and Control Systems Engineering at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group and serves as Deputy Director of the Centre for Research into Electrical Energy Storage and its Applications (CREESA). His research focuses on electrical energy storage technologies (batteries, supercapacitors, flywheels) across automotive, power grid, aerospace, rail, and consumer applications. Key projects include managing the UK's largest research-led energy storage test facility (4.1MW capacity) and leading a £3.8M lithium titanate grid storage project and an H2020 hybrid flywheel initiative. Education: MEng and PhD in Electronic Engineering from the University of Sheffield (2004, 2009) Professional Roles: Deputy Director of CREESA, leader in electrochemical energy storage for grids Research interests include diagnostics/prognostics of high-power energy storage, optimization via genetic programming, and IoT/Industry 4.0 applications. He has supervised over 20 PhD students and contributed to 100+ peer-reviewed publications. Notable facilities managed: 1,200m² energy storage test site with 11kV grid connection. Current projects include the TransEnergy railway energy storage initiative and hybrid flywheel systems for Europe's largest installation.

Gabriel Landiمشاهده پروفایل

دانشیار

• Theoretical Quantum Information Sciences
• Open Quantum Systems
• Quantum Thermodynamics
• +۳ مورد دیگر

Professor Gabriel Landi is an Associate Professor in the Department of Physics and Astronomy at the University of Rochester since 2022. Previously, he held positions at UFABC (2013-2016) and the University of São Paulo (2016-2022). He received his PhD in Physics from the University of São Paulo in 2012. His research focuses on theoretical quantum information sciences, particularly open quantum systems, quantum thermodynamics, and quantum metrology. He explores reformulating thermodynamic laws in quantum-coherent contexts, addressing fundamental questions and proposing applications in quantum sensing and computing. Landi is an associate editor at PRX Quantum and a member of the Brazilian Physical Society, recognized with the 2022 Robert E. Marshak Lectureship. His research interests include quantum stochastic processes, thermodynamic irreversibility, quantum resource theories, and the interplay between coherence and thermodynamic efficiency. Landi’s work bridges theoretical frameworks with experimental applications, such as quantum heat engines and energy harvesting devices. He contributes to interdisciplinary efforts, including quantum information’s role in high-energy physics strategy updates. Landi’s recent publications (2023–2025) address topics like quantum battery dynamics, fluctuation theorems, collision models, and entropy production in non-equilibrium systems. His studies emphasize precision in quantum thermometry and the foundational aspects of quantum coherence in thermodynamic processes.

Francesco Campaioliمشاهده پروفایل

پژوهشگر ارشد

• Quantum Energy Systems
• Photovoltaics
• Opto-electronic Devices
• +۱ مورد دیگر

Francesco Campaioli is a Marie Skłodowska-Curie Postdoctoral Fellow at the University of Padua's Department of Physics and Astronomy. His research focuses on quantum-enhanced energy technologies, including photovoltaics, quantum batteries, and optoelectronic devices. He investigates fundamental energy conversion processes to improve solar cell efficiency through quantum mechanical principles. His work spans quantum thermodynamics, light-matter interactions, and nanophotonic engineering, with particular emphasis on singlet fission phenomena and quantum spin systems. Recent publications demonstrate consistent focus on quantum energy storage solutions, plasmon-enhanced quantum sensing, and exciton dynamics in molecular systems. Dr. Campaioli maintains active collaborations across theoretical and experimental quantum physics domains, developing novel approaches to characterize energy transfer processes at nanoscales. His methodologies combine quantum master equations, ab initio simulations, and quantum control techniques to address efficiency limitations in energy harvesting systems.

Endrowednes Kuantamaمشاهده پروفایل

مدرس

• Internet of Drones
• Autonomous Systems
• Robotics Control
• +۳ مورد دیگر

Dr. Endrowednes Kuantama is a Lecturer in IoT/Networking at Macquarie University's School of Computing, appointed in 2023. He holds a PhD from Oradea University, Romania, as an ERASMUS MUNDUS scholar. Previously, he served as an Assistant Professor at Kyungsung University, South Korea, and a Postdoctoral Research Fellow at Macquarie University. His research focuses on autonomous drones, IoT integration, sensor fusion, and robotics control systems. He leads projects like Deep Vision in Autonomous Underwater 3D Mapping and Bonding Through Coding , and contributes to the Drone Lab, exploring aerial manipulation, SLAM algorithms, and machine learning applications. He has authored 27 publications in journals, conferences, and books, and reviews for the Drone and Aerospace Journal . His work spans drone stability analysis, control systems, and payload delivery optimization. Key projects include Deep Vision in Autonomous Underwater 3D Mapping (2025-2026) Bonding Through Coding (2024-2025) His research emphasizes drone-based solutions for logistics, security, and environmental monitoring, with recent advancements in LiDAR-based tracking, cooperative drone systems, and emergency battery services.

Martin Jacobssonمشاهده پروفایل

دانشیار

• Machine Learning
• Biomedical Engineering
• IoT and Wearable Technologies
• +۵ مورد دیگر

Martin Jacobsson is an Associate Professor at the School of Computer Science and Communication (CBH) at KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty. He co-founded the Digital Futures research center, which focuses on cross-disciplinary digital technologies addressing societal challenges such as healthcare innovation, IoT systems, and wireless communication. His work emphasizes practical applications with high industrial relevance and strategic importance through collaborations with Stockholm University and RISE Research Institutes of Sweden. His research interests span machine learning in clinical decision support, biomedical data compression, wearable sensor networks, and low-power wireless communication protocols. Notable projects include drone-based motion capture systems for sports analytics, embedded emergency systems, and predictive models for surgical outcomes using ML techniques. Publications highlight contributions to healthcare informatics (e.g., trauma care improvement), IoT device optimization (e.g., battery-free wearables), and wireless network protocols (e.g., LoRaWAN interference analysis). His work bridges theoretical advancements with real-world implementations in healthcare, sports, and industrial IoT. He is actively involved in the Digital Futures community, engaging through LinkedIn, YouTube, and academic conferences. The center is located at Osquars Backe 5 in Stockholm, with contact via info@digitalfutures.kth.se.

Mehmet Yuceمشاهده پروفایل

استاد

• Bioelectronics
• Biosensors
• Integrated Circuits
• +۸ مورد دیگر

Professor Mehmet Yuce is a faculty member at Monash University, holding the position of Professor and Deputy Head of the Department of Electrical and Computer Systems Engineering. Previously, he served as a Senior Lecturer at the University of Newcastle (2005-2011). He holds a PhD in Electrical and Computer Engineering from North Carolina State University (2004) and an M.S. from the University of Florida (2001), with postdoctoral research at UC Santa Cruz (2005). Affiliations: Monash University (since 2011), IEEE Fellow Roles: ARC Future Fellow, Senior Editor of IEEE Sensors Journal His research focuses on low-power electronics, wearable medical devices, wireless body area networks, and energy harvesting. Key projects include developing implantable sensors, IoT health monitoring systems, and autonomous wireless capsule endoscopy. Research Highlights: - Wearable devices for continuous blood pressure monitoring. - Triboelectric nanogenerator-based sensors for respiratory and movement tracking. - Radar systems for non-invasive vital signs monitoring. Awards: - NASA Group Achievement Award (2007, 2017) - Research Excellence Award, University of Newcastle (2010) - Best Journal Paper Award, IEEE Microwave Theory and Techniques Society (2014) - ARC Future Fellowship (2014) Grants & Collaborations: - Led projects on wearable SpO₂ devices and AI-driven circadian health analysis. - Partnered on Low Observable Platform Detection research. - Authored three books on wearable medical devices.