جست‌وجوی استاد و پژوهشگر

• Exercise Physiology
• Cardiometabolic Health
• Sports Technology
• +۳ مورد دیگر

Dr. Laura Barrett is a Senior Lecturer in Exercise Physiology at Loughborough University, affiliated with the National Centre for Sport and Exercise Medicine. She holds a BSc in Physical Education, Sports Science, and Chemistry from Loughborough University and a PhD in Exercise Physiology (2004). Her career includes roles as a Research Associate at Loughborough University (2004–2005), Research Fellow at Exeter University’s Children’s Health and Exercise Research Centre (2005–2007), and Lecturer/Senior Lecturer at Loughborough since 2007. Her research focuses on the physiological impacts of exercise, particularly in adolescents and young adults. Key areas include postprandial metabolism, cardiometabolic health, and the development of real-time opto-physiological monitoring technologies. She investigates how physical activity interventions in schools and sports settings can mitigate metabolic risks, such as postprandial lipemia and impaired endothelial function. Education: BSc Physical Education, Sports Science & Chemistry (Loughborough University) PhD Exercise Physiology (Loughborough University, 2004) Her publications emphasize innovations in wearable sensors for real-time physiological monitoring, with applications in sports medicine and public health. She has explored the efficacy of school-based physical activity programs and the role of exercise in modulating postprandial responses. Current research trends include optimizing sensor accuracy during motion and integrating machine learning for signal processing. Barrett’s work bridges clinical, technological, and applied exercise science, contributing to advancements in both academic and practical healthcare contexts.

Patricia Rogetzerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Sustainable Supply Chain Management
• Circular Economy
• +۳ مورد دیگر

Patricia Rogetzer is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at TU Delft. Her expertise spans Artificial Intelligence applications in education, sustainable supply chain management, circular economy strategies, and urban logistics. She has held previous roles as a Postdoctoral Researcher at TU Munich (2018–2020) and Research and Teaching Associate at Vienna University of Economics and Business (2013–2018). Her research addresses challenges in integrating AI technologies with learning systems, optimizing urban infrastructure projects, and advancing circular supply chain frameworks. Her work aligns with UN Sustainable Development Goals, particularly in fostering sustainable consumption and production patterns (SDG 12) and sustainable cities (SDG 11). She has contributed to methodologies such as Circular Value Stream Mapping and stakeholder engagement frameworks for Hubs of Circularity. Her research also explores automation in defect management, traffic disruption mitigation during urban renovations, and the potential of cargo bikes in city logistics. Key Research Themes: AI in Education, Urban Infrastructure Scheduling, Closed-Loop Supply Chains, Circular Economy. Awards: 2021 BMS faculty Graduation Award (supervision). Activities: Active participation in conferences such as the 15th ISIR Summer School (2021) and the International Conference on Computational Logistics (2021). Rogetzer’s publications emphasize interdisciplinary approaches, combining operational research with sustainability goals. Her recent work highlights trends in AI-driven educational tools and the application of machine learning to optimize urban infrastructure projects.

• Granular Matter
• Soft Matter
• Mechanical Engineering
• +۳ مورد دیگر

Stefan Luding is a Full Professor at the University of Twente, affiliated with the Multi Scale Mechanics department within the MESA+ Institute. His research focuses on granular and soft matter systems, with a strong emphasis on computational modeling techniques such as the Discrete Element Method (DEM). He has made significant contributions to understanding wet granular systems, sintering processes, and aeolian sediment transport. With an h-index of 59 and over 10,000 citations, Luding is a leading figure in the field of granular matter physics. His work spans interdisciplinary applications in mechanical engineering, materials science, and environmental science. He has supervised 25 academic works and contributed to numerous datasets, including studies on particle segregation and wet granulation. Luding actively participates in international conferences and collaborates globally, advancing both theoretical and applied aspects of granular dynamics.

• Materials Science
• Atomistic Modeling
• Magnetic Systems
• +۳ مورد دیگر

Prof. Dr. Peter Michael Derlet is an Adjunct Professor at ETH Zurich's Department of Materials and Senior Scientist at Paul Scherrer Institute's Laboratory for Theoretical and Computational Physics. His research specializes in atomistic modeling of materials with complex defect structures, magnetic systems, and radiation effects. Education includes a PhD in Physics from the University of Hamburg. Research integrates computational methods with experimental validation: Dislocation dynamics and irradiation damage in metals Magnetic nanoparticle behavior and spin systems Metallic glass relaxation and aging phenomena Development of magnetic interatomic potentials Recent publications focus on radiation damage in nuclear materials, magnetic reversal mechanisms, and glass transition physics. Collaborative works frequently bridge nanoscale simulations with experimental characterization techniques like neutron scattering and electron microscopy. Dr. Derlet teaches Thermodynamics and Computational Materials Modeling at ETH Zurich. He coordinates multiple SNF-funded PhD projects on correlated disorder magnetism and has supervised 6 doctoral students to completion. Current projects include anomalous thermal transport in spin ices and nanostructure-specific X-ray tomography.

• Astrophysics
• High-Energy Astrophysics
• Plasma Astrophysics
• +۶ مورد دیگر

Dimitrios Giannios is a Professor in the Department of Physics at Purdue University, specializing in high-energy astrophysics and plasma astrophysics. His research focuses on relativistic astrophysical phenomena such as gamma-ray bursts (GRBs), neutron star mergers, blazar jets, and magnetic reconnection processes. He has contributed to advancing understanding of jet dynamics, radiative mechanisms, and multi-messenger astronomy through computational models and observational analysis. Key research interests include the physics of relativistic jets in active galactic nuclei (AGN) and compact object mergers, the role of magnetic reconnection in powering nonthermal emission, and the interplay between turbulence and radiative processes in astrophysical plasmas. Giannios has developed computational tools like jetsimpy and Tleco to model afterglows and radiative signatures of relativistic outflows. His work bridges fluid dynamics and plasma physics at both theoretical and numerical levels. Notable contributions include studies of the binary neutron star merger GW170817, revealing insights into late-time X-ray emission and jet structures. He has explored the Blandford-Znajek mechanism's role in GRB energy budgets, plasmoid-dominated reconnection in blazar jets, and the implications of relativistic turbulence for GRB prompt emission. Giannios has also engaged in collaborative NSF-funded projects investigating neutrino blazars, AGN jet physics, and multi-scale modeling of astrophysical jets. His research has been supported by grants focusing on multi-messenger astronomy, blazar sequences, and the connection between gravitational wave observations and electromagnetic counterparts. While no specific awards are listed, his publications reflect recognition in top astrophysics journals. Giannios' work emphasizes computational astrophysics and numerical simulations to address fundamental questions in extreme astrophysical environments.

Lorenzo Sironiمشاهده پروفایل

دانشیار

• High Energy Astrophysics
• Plasma Astrophysics
• Particle Acceleration
• +۵ مورد دیگر

Lorenzo Sironi is an Associate Professor in the Department of Astronomy at Columbia University and Director of Graduate Studies in Astronomy. His research focuses on high-energy astrophysics and plasma processes in extreme environments, such as relativistic shocks, magnetic reconnection, and turbulence. He holds a PhD from Princeton University (2011) and has held postdoctoral positions at Harvard and Columbia. He leads a dynamic research group investigating plasma astrophysics, with notable awards including the 2019 Sloan Fellowship in Physics and the 2020 Cottrell Scholar Award. His work bridges theory, simulations, and observation, addressing topics like particle acceleration in astrophysical shocks, neutrino production in black hole coronae, and the dynamics of relativistic jets. Recent studies include machine learning applications to plasma turbulence and the role of magnetic reconnection in nonthermal emission. His group's research has implications for understanding cosmic rays, gamma-ray bursts, and AGN activity. Education: PhD in Astrophysical Sciences, Princeton University (2011) Research Highlights: Relativistic plasma turbulence, magnetic reconnection in black hole systems, and particle acceleration mechanisms. Notable collaborations include studies of intrabinary shocks in spider pulsars and the development of advanced particle-in-cell simulations for modeling multimessenger emission. His work has been supported by grants such as the NSF Multimessenger Plasma Physics Center (MPPC). Labs/Teams: Leads a research group specializing in computational astrophysics and plasma simulations, fostering interdisciplinary approaches to high-energy astrophysical phenomena.

Prasanta K. Ghoshمشاهده پروفایل

استاد

• Smart Grid Systems
• Power Electronics
• High-Speed Electronic Devices
• +۲ مورد دیگر

Prasanta K. Ghosh is a Professor at Syracuse University's Department of Electrical Engineering and Computer Science, holding office in CST 3-132. With a Ph.D. from Pennsylvania State University, his research develops smart grid technologies, power electronics, and high-speed electronic devices. Research focuses on optimizing electric vehicle-grid integration, renewable energy systems, and advanced semiconductor devices. Recent projects include bidirectional frequency regulation for EVs, reactive power cost minimization, and multi-gate transistor design for RF applications. His publications demonstrate consistent focus on energy system optimization, particularly in EV charging infrastructure and market participation strategies. Current investigations explore thin film sensor development and microgrid design.

• Internet of Things (IoT)
• Quantum Computing
• Wireless Sensor Networks (WSN)
• +۴ مورد دیگر

Filippo Gandino is an Associate Professor at Politecnico di Torino, affiliated with the Department of Automatic Control and Computer Science (DAUIN) and the Interdepartmental Centre PIC4SeR for Service Robotics. He is a member of the College of Biomedical Engineering and the College of Computer, Cinema and Mechatronics Engineering. His research focuses on Internet of Things (IoT), Quantum Computing, and Wireless Sensor Networks (WSN), with a particular emphasis on pervasive computing and healthcare applications. He has been recognized with the Best Paper Award from the 6th International Conference of Broadband and Wireless Computing, Communication and Applications (BWCCA-2011). Professor Gandino teaches courses in Algorithms and Object-Oriented Programming, Computer Science, and Electronic Calculators across multiple engineering programs, including Aerospace, Cinema, and Computer Engineering. His academic contributions include supervising PhD student Pietro Chiavassa, whose thesis addresses security and reliability in pervasive computing. His work spans interdisciplinary projects, such as IoT-based environmental monitoring systems and quantum computing optimization algorithms. His research explores cutting-edge areas like secure intermittent computing, particulate matter measurement techniques, and quantum PCI planning. He actively contributes to IEEE conferences and journals, focusing on sensor networks, cybersecurity, and distributed systems. His lab, CAD - Electronic CAD & Reliability Group (DAUIN), drives innovations in electronic design and reliability engineering.

• Fluid Dynamics
• Turbulence
• Environmental Fluid Mechanics
• +۵ مورد دیگر

Associate Professor Nicholas Williamson is affiliated with the School of Aerospace, Mechanical and Mechatronic Engineering at The University of Sydney, specializing in fluid dynamics and environmental fluid mechanics. His research focuses on turbulent transport phenomena in stratified flows, urban environmental flows, and computational fluid dynamics. Current research students include Omar Azmi Abedullah (hydrogen storage systems), Ankith DAS (urban atmospheric dispersion modeling), and Mark GEORGE (Navier-Stokes solvers). He leads grants such as the ARC Discovery Project on riverine thermal stratification and non-Boussinesq effects in natural convection. Publications highlight work on stratified channel flows, buoyant jet dynamics, and entrainment mechanisms. His research bridges theoretical fluid mechanics with environmental applications, including algal bloom dynamics in rivers and urban air quality modeling. Key collaborations include Prof. Stephen Armfield and Dr. Mike Kirkpatrick on turbulent mixing and boundary layer stability. His work is published in journals like Journal of Fluid Mechanics and Physics of Fluids .

• Renewable Energy
• Energy Systems
• Wind Energy
• +۳ مورد دیگر

Jalal Baghdadchi is a Professor of Electrical Engineering at the Inamori School of Engineering, Alfred University. He is affiliated with the Engineering Laboratories and focuses on renewable energy systems, wind energy, and computer architecture. His research includes adaptive hybrid-energy-source solutions and energy storage for intermittent resources. Education: PhD in Electrical Engineering, NC A&T State University, 1999 MS in Electrical Engineering, NC A&T State University, 1994 BS in Electrical Engineering, University of Massachusetts, 1992 Research Interests: Dr. Baghdadchi’s work spans renewable energy technologies, energy storage systems, VLSI design, and fault-tolerant computing. He explores innovative approaches to integrate renewable sources into residential and industrial applications, such as hybrid-energy home water heating systems. Labs/Teams: Active in the Engineering Laboratories at Alfred University.

Gordon Fernsمشاهده پروفایل

استاد

• Cardiovascular Disease
• Nutrition
• Lipid Metabolism
• +۳ مورد دیگر

Professor Gordon Ferns holds dual roles as Deputy Dean and Professor of Medical Education and Metabolic Medicine at Brighton and Sussex Medical School (BSMS). He leads the Department of Medical Education and serves as an Honorary Consultant in Metabolic Medicine. With extensive experience, he previously held leadership positions including Dean of Medicine at the University of Surrey and Director of the Institute of Science and Technology in Medicine at Keele University. His academic credentials include a DSc (Doctor of Science) from the University of London, alongside prestigious fellowships such as FRCPath and FRCP. Education: MBBS from St Bartholomew’s Hospital Medical College, followed by an MD and MSc in Clinical Biochemistry from the University of London. Research: Focuses on cardiovascular disease mechanisms, lipid metabolism, and metabolic medicine. Over 500 publications and grants from BHF, MRC, and Wellcome Trust. Research Interests: Biomarkers of cardiovascular disease, nutrition, lipid metabolism, and clinical biochemistry. His work bridges basic science and clinical practice, with contributions to atherosclerosis research and antioxidant therapy paradoxes. Grants & Awards: Recipient of British Heart Foundation funding, Wellcome Pathology Research Fellowship, and Visiting Professorships at Surrey, Keele, Tehran, and Mashhad Universities. Labs/Teams: Leads BSMS medical education initiatives and collaborates internationally on metabolic syndrome research through his editorial role at Translational Metabolic Syndrome Research .

Sean K. Barkerمشاهده پروفایل

دانشیار

• Energy
• Smart Buildings
• Sustainability
• +۴ مورد دیگر

Sean K. Barker is an Associate Professor and Chair of the Department of Computer Science at Bowdoin College. He holds a PhD (2014) and MS (2012) in Computer Science from the University of Massachusetts Amherst, and a BA (2009) in Computer Science from Williams College. His research focuses on energy-efficient systems, smart building technologies, sustainability in computing infrastructure, and distributed systems. Notable projects include smart meter data analysis for compression and virtual power metering, resource management in data centers using intermittent power, and cloud database optimization via on-demand live migration. Teaching responsibilities include systems courses such as Operating Systems (taught in Spring 2018 and later), Distributed Systems, Data Structures, and Foundations of Computer Systems. He is currently on sabbatical for the 2024-2025 academic year. Contact: Email , Office: Searles 220.

Ken Ahoمشاهده پروفایل

استاد

• Community Ecology
• Biostatistics
• Alpine Ecology
• +۳ مورد دیگر

Ken Aho is a Professor in the Department of Biological Sciences at Idaho State University, specializing in Community Ecology and Biostatistics . He has held this position since 2011 and leads the Aho Lab , focusing on foundational and applied statistical methods for biologists using R. His research integrates ecological theory with statistical rigor, addressing topics like alpine vegetation dynamics, microbial communities, and non-perennial stream networks. He developed the asbio R package and authored the textbook Foundational and Applied Statistics for Biologists Using R , emphasizing pedagogical tools for statistical education. Education: B.S. Biology (1995), Idaho State University M.S. Environmental and Ecological Statistics (2007), Montana State University Ph.D. Biology (2006), Montana State University Postdoctoral Fellow (2007–2011), Idaho State University (Alpine plant ecology) Research interests span alpine ecology , biostatistical methodologies , and ecological modeling . Notable projects include studying invasive species impacts, reclamation of post-mining landscapes, and the development of the streamDAG R package for analyzing non-perennial stream networks. His work also explores microbial interactions in alpine soils and atmospheric microbial communities. Publications emphasize statistical applications in ecology, stream ecology, and biodiversity. Current trends in his articles address stream intermittency , carbon budgets , and microbiome connectivity . He advises graduate students, including S. Warix , C. Wheeler , and C. T. Bond , and teaches courses like Advanced Data Analysis and R Programming . No scientific awards are explicitly listed, though his contributions to statistical pedagogy and ecological research are widely recognized. His lab integrates fieldwork, computational modeling, and interdisciplinary collaborations.

Daniel Conusمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Modeling
• Financial Mathematics
• +۳ مورد دیگر

Daniel Conus is an Associate Professor of Mathematics and Associate Chair in the Department of Mathematics at Lehigh University. He co-directs the MS in Financial Engineering program, bridging academic research with practical financial applications. His research focuses on probability theory, stochastic modeling, and their applications in finance, economics, and catastrophe modeling. Dr. Conus has contributed to advancing methodologies in stochastic partial differential equations (SPDEs), quantization algorithms, and risk assessment for extreme events. Key research areas include: Probability Theory and Stochastic Processes Financial Mathematics and Derivatives Pricing Catastrophe Modeling and Resilience Assessment Intermittency Phenomena in SPDEs His recent work emphasizes the development of stochastic models for seismic hazards, ecological systems (e.g., bat carrying capacity in Africa), and financial derivatives. Collaborations with industry and interdisciplinary teams highlight his commitment to real-world applications of mathematical theory.

• Fluid Mechanics
• Acoustics
• Turbulence Modeling
• +۴ مورد دیگر

Mikhael Gorokhovski is a Professor at École Centrale de Lyon within the Department of Fluid Mechanics, Acoustics, and Energy, and a member of the Laboratory of Fluid Mechanics and Acoustics (LMFA-UMR5509). His research focuses on turbulence modeling, spray dynamics, cavitation, and multiphase flows. He has held academic positions since 1982, including Professorships at École Centrale de Lyon (2006–present) and the University of Rouen (1995–2006). He has supervised 22 PhD students across multiple institutions. His work integrates computational methods like LES (Large Eddy Simulation) with stochastic modeling to address complex fluid dynamics challenges. Research interests include fragmentation processes, Lagrangian turbulence analysis, and atomization mechanisms. He has contributed to advancing stochastic subgrid-scale models for droplet motion, turbulent dispersion, and cavitation effects. His studies often involve high-Reynolds-number flows, air-blast atomization, and diesel spray combustion. He collaborates with institutions like Stanford University (CTR) and Japan’s National Aerospace Laboratory. Key publications (2017–2025) focus on stochastic models for under-resolved simulations, LES applications in spray dynamics, and turbulent acceleration statistics. His work bridges theoretical fluid mechanics with computational engineering, addressing challenges in energy systems, aerospace, and environmental flows. He serves on editorial boards and national committees, including the Annual Review of Fluid Mechanics and French computing evaluation board (GENCI). Gorokhovski has mentored 22 PhD students, with 12 at the University of Rouen, 4 at École Centrale de Lyon, and 6 in Kazakhstan. His academic activities include leadership roles in conferences, editorial work, and national research evaluation. He leads the EM³ team at LMFA, focusing on multi-physical, multi-phase, and multi-scale flows.