جست‌وجوی استاد و پژوهشگر

• Low carbon energy systems
• System flexibility
• Demand side flexibility
• +۵ مورد دیگر

Dr. Phil Grunewald is a Supernumerary Research Fellow at Oriel College and Research Director of the Energy Demand Observatory and Laboratory (EDOL) at the University of Oxford's Department of Engineering Science. He also serves as Oxford Principal Investigator for the JED-AI project. Previously, he led the Oxford Energy Network and the Flexibility theme at the Environmental Change Institute (2013-2020). Education PhD from Imperial College London on grid storage economics, supported by a UKERC scholarship. Research Focus Grunewald employs interdisciplinary approaches to analyze energy demand flexibility using smart meter data, machine learning, and socio-technical variables. Core research themes include: Low-carbon energy transitions Demand response and system flexibility Machine learning applications for household energy clustering Longitudinal analysis of crisis impacts on consumption Equity in energy system redesign Publications Recent articles (2019-2024) demonstrate strong focus on: 1) Data-driven household energy pattern analysis using machine learning, 2) Crisis resilience and emissions impacts of demand flexibility, 3) Socio-technical barriers to energy transitions, and 4) Methodological innovations in activity-based energy modeling. Recurring themes include temporal consumption variability, policy equity, and decarbonization trade-offs. Awards EPSRC Fellowship (2015-2021) Marie Curie Fellowship Fellow of the Institution of Civil Engineers (FICE) Projects & Grants Principal Investigator for: EDOL (EPSRC): Longitudinal household energy-observatory ReNEW (Oxford Martin): Energy equity and wellbeing Shift-0 (MCS Foundation): Heat-pump adoption impacts METER study : Machine learning analysis of UK household diaries/meter data Teams & Infrastructure Leads energy demand research group developing specialized tools for activity recording and meter data analysis. Maintains UK Household Energy Use database.

David Campbellمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nonlinear Dynamics
• Quantum Many-Body Systems
• +۳ مورد دیگر

David Campbell is a Professor of Physics, Electrical and Computer Engineering (ECE), and Materials Science and Engineering (MSE) at Boston University, and serves as Director of Graduate Studies. He holds a Ph.D. from Cambridge University (1970). His research focuses on correlated electronic systems, nonlinear excitations, and non-equilibrium phenomena, including studies of solitons in solids, Bose-Einstein Condensates, and the Fermi-Pasta-Ulam-Tsingou (FPUT) problem. He is renowned for developing functional Renormalization Group (fRG) methods and investigating metastable states in FPUT systems. Key awards include the Julius Edgar Lilienfeld Prize (2010), Gauss Professorship (2014-15), and SigmaPhi Prize (2020). His work spans theoretical physics, quantum many-body systems, and materials science, with contributions to superconductivity, nonlinear dynamics, and precision metrology. Recent articles address metastable FPUT states, Casimir-effect metrology, and functional RG studies of Hubbard models. He collaborates globally on interdisciplinary projects, including machine learning in materials design and MEMS device engineering.

Marco Zimmerlingمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Wireless Embedded Systems
• Battery-Free IoT
• +۱ مورد دیگر

Marco Zimmerling is a Full Professor in the Department of Computer Science at TU Darmstadt, specializing in cyber-physical systems with focus on wireless embedded systems. His research aims to design dependable, adaptive, and sustainable systems for the battery-free Internet of Things. Education: Ph.D. in Computer Engineering from ETH Zurich (2015), Diploma in Computer Science from TU Dresden. Research interests include battery-free IoT, wireless networked systems, concurrent transmissions, and dependable cyber-physical systems. His work bridges theoretical foundations with practical implementations in sustainable computing. Recent publications focus on energy-harvesting testbeds (Shepherd Nova), open-source platforms for battery-free devices (Riotee), and fault-tolerant networking. Key themes include energy efficiency, wireless protocols, and system reliability under constrained conditions. Honors include ACM SIGBED Early Career Researcher Award (2022), Test-of-Time Award (SenSys 2022), Best Paper Awards (EWSN 2022, ICCPS 2019), and DFG Emmy Noether Grant (2018). Leads research on sustainable IoT systems and wireless control networks, with projects spanning testbed development, protocol design, and real-world deployments.

Frank R. Rice, IIIمشاهده پروفایل

مدرس

• Physics

Frank R. Rice, III is a Lecturer in Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. He has held this position intermittently since 2001, with continuous tenure from 2019–2025. His research and teaching focus on physics, leveraging his academic background and professional experience. Education: B.A., Northwestern University, 1977 M.S., Naval Postgraduate School, 1986 M.S., Caltech, 1999 Ph.D., Caltech, 2020 His professional activities include managing course materials and research projects, as evidenced by directories like Adv_Lab, CsoMove, CurveFit, and others. These likely relate to experimental physics, computational tools, and educational resources. No specific awards or articles are listed in the provided texts, but his roles suggest contributions to teaching and research infrastructure.

Sachin Jogمشاهده پروفایل

پژوهشگر ارشد

• Process Modeling
• Optimization
• Sustainable Chemical Processes
• +۳ مورد دیگر

Dr. Sachin Jog is a researcher at ETH Zürich, affiliated with the Department of Chemistry and Applied Biosciences and working within the Professorship for Chemical Systems Engineering. His research focuses on sustainable process systems engineering, with particular emphasis on developing innovative modeling and optimization techniques for chemical processes. His educational background includes: Doctoral Degree from ETH Zürich (2021-2025) under Prof. Gonzalo Guillén Gosálbez Master of Science in Process Engineering from ETH Zürich (2019-2021) Bachelor of Chemical Engineering from Institute of Chemical Technology (ICT), Mumbai (2015-2019) Dr. Jog's research interests span several critical areas in modern chemical engineering: Hybrid modeling techniques combining first-principles and data-driven approaches Optimization of integrated chemical clusters with heat, mass, and power integration Accounting for renewable energy intermittency in chemical process design Multi-objective optimization considering both economic and environmental metrics Sustainable process design aligned with Sustainable Development Goals (SDGs) His recent publications demonstrate a strong progression from fundamental modeling approaches to their application in specific sustainable chemical processes like methanol production from CO2. His work consistently bridges traditional chemical engineering with modern sustainability requirements, showing how renewable carbon technologies can be designed for true sustainability rather than focusing solely on climate change mitigation. Dr. Jog's scientific contributions include: Development of hybrid modeling methodologies for process optimization Frameworks for sustainable process design incorporating SDGs Optimization approaches for integrated chemical clusters using renewable energy His research is supported by the Swiss National Science Foundation (SNF) through the 'Bayesian symbolic learning to aid in the design of sustainable chemical clusters (LEARN-D)' project. Dr. Jog works within the Chemical Systems Engineering group at ETH Zürich, contributing to research on sustainable chemical processes and systems engineering approaches for the chemical industry's decarbonization.

Brett Bourbonمشاهده پروفایل

استاد

• 20th-century literature
• philosophy
• computational social science
• +۷ مورد دیگر

Brett Bourbon is a Professor of English at the University of Dallas, previously serving at Stanford University. He holds a PhD from Harvard University and a B.A. from UC Berkeley. His research focuses on 20th-century literature, philosophy, computational social science, and the philosophy of technology. He has received prestigious awards including a Fulbright Fellowship, Mellon Post-Doctoral Fellowship, and top teaching awards from both Stanford and UD. His scholarly works include Everyday Poetics (2022), Jane Austen And the Ethics of Life (2022), and Finding a Replacement for the Soul (2004). Current projects involve The Kingdom of Gossip (with Prof. Renita Murimi) examining internet social dynamics and Thinking with Words (with Prof. Miguel Tamen) on literary groundwork. He also publishes poetry and short stories intermittently. As a consultant, he advises tech companies and classical education institutions, co-founding UD's Masters of Leadership program. His work bridges literature, technology, and ethical inquiry, with notable contributions to human-computer interface studies and misinformation research.

Yanhua Hongمشاهده پروفایل

عضو هیئت علمی

• Semiconductor Lasers
• Nonlinear Dynamics
• Chaos Theory
• +۳ مورد دیگر

Dr. Yanhua Hong is a Reader in the School of Computing and Engineering at Bangor University. His research focuses on nonlinear dynamics of semiconductor lasers, chaos theory, and their applications in optical communications and microwave photonics. He leads projects such as 'Microwave Photonics Generation Using Low-Cost VCSELs' and has published extensively in journals like Optics Express and Photonics. Key areas of expertise include semiconductor laser dynamics under optical feedback, secure communication systems leveraging chaotic signals, and the design of photonic microwave generation systems. Hong collaborates internationally with institutions like Southwest University (China) and the Universitat Politècnica de Catalunya (Spain). He actively supervises PhD students and examines external theses. Recent work highlights include high-speed secure stream ciphers using synchronized chaos, optimization of multimode fiber imaging systems, and analysis of intermittent laser dynamics via reservoir computing. His contributions bridge fundamental research with applied photonics, contributing to advancements in optical security, signal processing, and next-generation communication networks.

Enrico Camporealeمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Space Physics
• Space Weather
• +۴ مورد دیگر

Dr. Enrico Camporeale is a Senior Lecturer in Digital Environment at Queen Mary University of London's School of Physical and Chemical Sciences. He holds affiliations with the Centre for Experimental and Applied Physics and the Dutch National Center for Mathematics and Computer Science (CWI) as a part-time researcher. His work bridges machine learning, computational physics, and space physics, focusing on space weather forecasting, plasma turbulence, and radiation belt dynamics. Research interests include machine learning applications in geophysics, solar wind turbulence, and physics-informed neural networks. Leads projects like the VIDI grant 'Real-time forecasting of killer electrons on satellite orbits' and the CWI-INRIA collaboration on data-driven space weather predictions. His research employs advanced computational techniques to model space plasma phenomena, with a focus on developing predictive models for geomagnetic storms and radiation belt electron behavior. He has contributed to journals like Physical Review Letters , Space Weather , and Journal of Geophysical Research . Publications emphasize interdisciplinary approaches, combining machine learning with classical physics to address challenges in space environment prediction and understanding plasma dynamics at small scales.

Jonny Hisdalمشاهده پروفایل

استاد

• Vascular Physiology
• Exercise Physiology
• Sports Medicine
• +۳ مورد دیگر

Jonny Hisdal is a Professor in the Department of Vascular Diseases at the University of Oslo. His research focuses on vascular physiology, exercise physiology, and clinical interventions in cardiovascular health. He has conducted extensive studies on the physiological effects of extreme endurance sports, hemodynamics under various conditions, and the impact of anabolic steroids on vascular function. Key areas of investigation include thermal physiology in open-water swimming, bioimpedance applications for vascular assessment, and the management of abdominal aortic aneurysms. His work integrates clinical trials with biomedical engineering techniques, such as developing novel devices for blood flow monitoring (e.g., the Earlybird Doppler device). Recent studies highlight his contributions to understanding peripheral circulation dynamics, the effects of intermittent negative pressure therapies, and the long-term outcomes of vascular screening programs. Collaborations span disciplines from sports medicine to rheumatology, emphasizing translational research to improve patient care.

Barbara Błażejczyk-Okolewskaمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Mechanical Systems with Impacts
• Chaos Theory
• +۳ مورد دیگر

Professor Barbara Błażejczyk-Okolewska is affiliated with the Department of Machine Dynamics at the Faculty of Mechanical Engineering , Technical University of Łódź , Poland. Her research focuses on nonlinear dynamics, vibro-impact systems, and chaos theory in mechanical engineering contexts. Her work examines the behavior of mechanical systems with impacts, including cantilever beams, oscillators, and moving base systems. Key areas include Lyapunov exponent calculations, hard/soft impact modeling, and synchronization phenomena in chaotic systems. Recent publications (1993–2025) analyze impact modeling, chaos control, and numerical simulations in mechanical systems. Topics span from Hertzian contact mechanics to multistability in oscillators, with applications in structural dynamics and nonlinear vibrations. Scientific awards : No explicit information provided. Advising : No student names listed in the provided text. Research collaborations include co-authors such as Andrzej Okolewski, Krzysztof Czołczyński, and Tomasz Kapitaniak.

Abdelhamid Tayebiمشاهده پروفایل

استاد

• Control Systems Theory
• Robotics
• Autonomous Vehicles
• +۷ مورد دیگر

Abdelhamid Tayebi is a Distinguished Professor and Research Chair in the Department of Electrical and Computer Engineering at Lakehead University. He also holds a courtesy professorship at Western University. His research focuses on control systems, autonomous navigation, and robotics, with applications to UAVs and multi-agent systems. Key roles include Graduate Coordinator and founder/director of the Robotics & Automatic Control Laboratory. Education: B.Sc. in Electrical Engineering, Ecole Nationale Polytechnique (1992) M.Sc. in Robotics, Université Pierre & Marie Curie (1993) Ph.D. in Robotics and Automatic Control, Université de Picardie Jules Verne (1997) Research Interests: Control systems theory, iterative learning control, autonomous vehicles, UAV navigation, hybrid feedback control, and nonlinear state estimation. His work emphasizes provable stability guarantees and real-world applications. Recent Articles Trends: Focus on hybrid control for obstacle avoidance, distributed estimation in multi-agent systems, and nonlinear observers for inertial navigation. Publications span IEEE Transactions on Automatic Control , Automatica , and robotics conferences like CDC and ACC. Awards: 2024 Distinguished Instructor Award (Lakehead University's top teaching honor) 2023 IEEE Fellow and EIC Fellow NSERC Discovery Accelerator Supplements (2013) Top 2% Highly Cited Scientist (Stanford, 2019–) Students & Labs: Advised over 20 PhD/MSc students and postdocs. Current research group includes postdocs Mayur Sawant (autonomous robotics) and Ishak Cheniouni (navigation algorithms). Notable former students include Miaomiao Wang (geometric observers) and Mouaad Boughellaba (multi-agent systems). Grants & Editorial Work: Holder of NSERC grants and Lakehead Research Chairs (2012–2027). Associate Editor for Automatica , IEEE Transactions on Control Systems Technology , and others. Active in reviewing for top journals/conferences.

Abhnil Amtesh Prasadمشاهده پروفایل

پژوهشگر ارشد

• Atmospheric Science
• Climate Science
• Remote Sensing
• +۳ مورد دیگر

Dr. Abhnil Amtesh Prasad is a Research Fellow at the Climate Change Research Centre (CCRC), University of New South Wales (UNSW). He holds a PhD in Physics from the University of Auckland and has expertise in atmospheric science, climate modeling, and renewable energy systems. His current work focuses on satellite remote sensing of clouds, solar irradiance forecasting, and the climatic impacts of aerosols and cloud dynamics. He collaborates with Prof. Steven Sherwood’s Physical Meteorology and Atmospheric Climate Dynamics Group, developing algorithms for geostationary satellite data to improve short-term solar energy predictions. Key research interests include tropical cloud physics, climate change processes, and energy system resilience under future climate scenarios. Dr. Prasad’s research integrates remote sensing techniques with climate models, emphasizing high-resolution simulations and machine learning applications. His work bridges atmospheric science and renewable energy, addressing challenges such as cloud-induced solar intermittency and aerosol effects on energy production. Recent studies include analyzing the 2019–20 Australian bushfires’ impact on solar power and developing frameworks like TorchClim v1.0 for enhancing climate model physics through deep learning. His publications span climate science, renewable energy systems, and atmospheric dynamics, with a focus on practical applications for energy reliability and policy. Despite no listed academic awards or grants, his contributions to interdisciplinary climate-energy research are notable. He maintains active collaborations within the UNSW Clean Energy research network and utilizes advanced facilities for climate modeling and remote sensing analysis.

Thibault Bertrandمشاهده پروفایل

مدرس ارشد

• Non-equilibrium Statistical Mechanics
• Soft Condensed Matter Physics
• Stochastic Processes
• +۴ مورد دیگر

Thibault Bertrand is a Senior Lecturer in Applied Mathematics at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). He holds affiliations with the Applied Mathematics and Mathematical Physics section, Biomathematics Group, and Physics of Life Network. His research focuses on non-equilibrium statistical mechanics, soft condensed matter physics, and stochastic processes, with applications in biological and social systems. Notable contributions include work on active matter, tissue dynamics, and jamming phenomena in disordered systems. He earned his BSc and MSc (with honors) from Ecole Normale Supérieure de Cachan (now Paris-Saclay) and a PhD from Yale University in 2016, studying jamming in disordered systems under Prof. Corey S. O'Hern. Prior to Imperial, he was a postdoc at Sorbonne Université. Teaching highlights include developing innovative courses at Yale’s Center for Engineering, Innovation, and Design (ENAS118 and ENAS344) and currently teaching MATH40001/40009 (Introduction to University Mathematics) and MATH50008 (PDEs in Action) at Imperial. In 2020, he received the President's Medal for Teaching Innovation with colleagues Dr. Marie-Amélie Lawn and Prof. Kevin Buzzard. His lab (Bertrand Lab) explores stochastic dynamics in living systems using analytical and computational methods, collaborating with experimentalists across disciplines. Recent projects include modeling tissue growth via lattice Boltzmann methods and machine learning for defect detection in confluent cell layers. Labs/Teams: Active member of Imperial's Physics of Life Network and co-organizer of the MathPhys seminar series. Current group members include Ross Monaghan (2024), Jane, Tamsin, Henry, Andy, and Luca Cocconi.

• Astronomy
• Satellite Tracking
• Data Acquisition and Processing
• +۱۰ مورد دیگر

Patrick Yates-Jones is a Research Fellow in Physics (Astronomy) at the School of Natural Sciences, University of Tasmania, where he has been employed since 2021, first as a Research Associate (2021-2024) and currently as a Research Fellow (2025-present). His work focuses on astronomy, satellite tracking, and data acquisition and processing within the Physics department at the Sandy Bay Campus. Dr. Yates-Jones holds a PhD in Physics and Astronomy (2017-2021), a Bachelor of Science with Honours in Astrophysics (2016), and a Bachelor of Science in Mathematics and Physics (2013-2015), all from the University of Tasmania. He also completed a Diploma of Modern Languages in French from the University of New England (2012-2015). His primary research interests span multiple areas of astronomy and astrophysics: Cosmology and extragalactic astronomy - studying the large-scale structure of the universe and distant galaxies High energy astrophysics and galactic cosmic rays - investigating energetic phenomena in our galaxy and beyond Astronomical instrumentation - developing new techniques for radio telescopes Astrodynamics and space situational awareness - tracking satellites and space debris His research particularly focuses on numerical modelling of plasma jets launched from Active Galactic Nuclei at the centers of distant galaxies and developing innovative radio astronomy instrumentation techniques for Australia's nationwide network of radio telescopes. Analysis of Dr. Yates-Jones' publication record reveals a strong focus on radio astronomy and AGN jet simulations . His work consistently explores the dynamics and observable signatures of radio jets in various environments, with increasing sophistication in modeling techniques over time. The research spans theoretical simulations, observational analysis, and instrumentation development, showing an integrated approach to understanding active galactic nuclei and their impact on galaxy evolution. Recent work has expanded into space situational awareness and satellite tracking applications. Dr. Yates-Jones has secured significant research funding, including: Co-I on an ALCG computing grant titled 'Towards More Realistic Modeling Of Supermassive Black Hole Jets In Galaxy Formation' for 45 MSU of computing time on the NCI Gadi supercomputer Participation in the Long Baseline Array (LBA) Observation project with CSIRO Astronomy and Space Science ($300,000) Space Seed Funding for 'next generation of space craft tracking software' from the Department of State Growth (Tas) ($44,330) As an educator, Dr. Yates-Jones has lecturing experience in Computational Physics (KYA320) and Games Physics (KIT212) at the University of Tasmania. He has supervised multiple doctoral students with current projects including 'Hybrid tracking of space junk,' 'Simulations of black hole jets,' and 'Radio Rainbows: Modelling the birth and rebirth of black hole jets.' His completed doctoral supervision includes Larissa Adele Jerrim's work on 'Magnetic Fields and Polarisation Properties of Radio Galaxies in Numerical Simulations.' He also has experience running labs, tutorials, and marking undergraduate Maths and Physics units.

• Optical Networking
• Wireless Communications
• Vehicular Networks
• +۷ مورد دیگر

Dr. Wissam Fawaz is a professor-level academic with extensive contributions to optical networking, vehicular communication systems, and UAV-aided network solutions. His work spans over two decades, focusing on Quality of Service optimization , Free Space Optical (FSO) communications , and Mobile Edge Computing (MEC) . Key collaborations with Chadi Abou-Rjeily, Maurice Khabbaz, and Ken Chen Published in IEEE Transactions on Wireless Communications , IEEE Communications Magazine , and Computer Networks Research interests center on network reliability , resource allocation , and next-generation communication architectures . His work explores: UAV-based network repair mechanisms QoS differentiation in optical and vehicular networks Machine learning integration for MEC task offloading Buffer-aided cooperative FSO systems Recent publications (2022) demonstrate innovations in: Acoustic synchronization protocols D2D-enabled Het-MEC systems Lyapunov-optimized resource allocation