جستجوی استاد راهنمای دانشگاهی

• Fluid Mechanics
• Machine Learning
• Ocean Engineering
• +۳ مورد دیگر

Tianning Tang is a Schmidt AI in Science Postdoctoral Fellow and Course Director of the Intelligent Earth CDT at the University of Oxford's Department of Engineering Science. He holds a BEng from the University of Nottingham and a DPhil from Oxford under Prof. Thomas Adcock. His research focuses on fluid mechanics, machine learning applications in ocean engineering, and rogue wave dynamics. He has won awards including the Eric and Wendy Schmidt Fellowship (2023) and the Osborne Reynolds Day competition (2022). Research interests include extreme wave events, nonlinear wave-structure interactions, and data-driven methods for environmental fluid mechanics. Recent projects involve intelligent characterization of wave breaking via machine learning and developing hybrid models for tidal energy forecasting. Tang collaborates with the Environmental Fluid Mechanics group and co-authors numerous peer-reviewed studies in journals like Journal of Fluid Mechanics and Applied Ocean Research . Awards include scholarships from The Institution of Mechanical Engineers and multiple recognitions for academic excellence during his undergraduate studies. His work bridges theoretical fluid mechanics with practical engineering solutions for offshore renewable energy systems.

Danny Incarnatoمشاهده پروفایل

دانشیار

• RNA Structural Dynamics
• Biochemistry
• Molecular Biology
• +۴ مورد دیگر

Associate Professor at the University of Groningen, Faculty of Science and Engineering, Department of Molecular Genetics. Expertise in RNA structural dynamics, biochemistry, and computational biology. Research focuses on RNA structure probing, dynamics, and their roles in biological processes and drug development. His work spans structural biology, immunology, and molecular mechanisms of RNA function. Research Interests RNA structure and dynamics in health and disease Computational and experimental approaches for RNA analysis Epigenetic regulation and chromatin structure Grants & Awards ERC Consolidator Grant (2023) Labs/Teams Active in the Molecular Genetics department, collaborating on RNA structure and function projects. Scientific Advisor at Ladder Therapeutics.

Floor Broekgaardenمشاهده پروفایل

استادیار

• Gravitational Waves
• Massive Stars
• Black Holes
• +۵ مورد دیگر

Floor Broekgaarden is Assistant Professor of Astronomy at UC San Diego, pioneering Gravitational Wave Paleontology to study massive stars through compact object mergers. She directs the Gravitational Wave Paleontology Lab and founded the SMASH initiative for interdisciplinary data science collaboration. Education includes: Ph.D. Astrophysics, Harvard University (2023) M.Sc. Astronomy, University of Amsterdam/Vrije Universiteit (2018) B.Sc. Physics & Astronomy and B.Sc. Mathematics, University of Amsterdam (2017) Research develops computational methods to analyze binary evolution across cosmic time, addressing the 'Uncertainty Challenge' in gravitational wave source modeling. Projects integrate population synthesis, machine learning, and cosmological simulations to trace stellar evolution pathways. Publications explore metallicity dependencies in binary formation, detector capabilities for next-generation observatories, and multi-messenger strategies. Recent work quantifies deviations between black hole merger rates and cosmic star formation histories. Recipient of Simons Foundation, NASA, and NSF grants supporting research on stellar populations and gravitational wave detection. Leads international collaborations in the COMPAS consortium and Einstein Telescope initiative. Mentors graduate students in projects spanning r-process enrichment, detection rate predictions, and machine learning applications for binary evolution modeling.

Merja Halmeمشاهده پروفایل

مدرس پاره‌وقت

• Sustainable Development
• Consumer Behavior
• Economics
• +۴ مورد دیگر

Merja Halme is a Part-Time Lecturer at the Department of Information and Service Management, Aalto University. Her expertise spans sustainable development, consumer behavior, and operational research. She holds doctoral and licentiate degrees in Business and Economics from the Helsinki School of Economics, alongside earlier academic qualifications. Her research focuses on integrating sustainability into consumer choices, educational preferences, and financial product transparency. She has conducted empirical studies on topics such as oat milk adoption, e-commerce dynamics, and gaming platform motivations. Education: Doctoral degree in Business and Economics (Helsinki School of Economics, 1993) Licentiate degree in Business and Economics (Helsinki School of Economics, 1991) Bachelor's and Master's degrees in Business and Economics (Helsinki School of Economics, 1981 and 1977) Research interests emphasize sustainable development's societal impact, consumer decision-making processes, and educational strategies. Her work bridges theoretical frameworks with practical applications in finance, environmental science, and digital platforms. Recent studies explore urban consumers' preferences for plant-based alternatives, transparency in structured financial products, and student learning approaches in business education. Her publications highlight trends in consumer behavior across sectors (food, gaming, retail) and methodological contributions to performance analysis and multi-criteria optimization. She has reviewed for journals like Studies in Higher Education and European Journal of Operational Research , and conducted academic visits to the University of Málaga and University of British Columbia.

Peter J. Brownمشاهده پروفایل

دانشگاهی

• Supernova Astronomy
• Cosmic Distance Scale
• Dark Energy
• +۴ مورد دیگر

Peter J. Brown is a Research Associate Professor at the Mitchell Institute for Fundamental Physics & Astronomy, Texas A&M University. His research focuses on ultraviolet observations of supernovae, particularly using the Swift spacecraft's UVOT telescope. He leads the NASA-funded Swift Optical Ultraviolet Supernova Archive (SOUSA), a database of over 600 supernovae. His work explores host galaxy properties, progenitor systems, and the use of Type Ia supernovae as cosmological distance probes. He has secured over $1.1M in grants as Principal Investigator for Swift and Hubble programs, and collaborates globally on projects like the Global Supernova Project. He mentors students through the AggieNova research team, emphasizing undergraduate involvement in cutting-edge astrophysics. Affiliations: Mitchell Institute for Fundamental Physics & Astronomy (Texas A&M) Key projects: SOUSA Archive, UVIa CubeSat mission concept Research interests span supernova classification, cosmic distance measurement, dark energy, and data-intensive computation. His work combines observational data from space telescopes with advanced modeling to understand explosion mechanisms and circumstellar environments. Recent studies include molecular/dust formation in supernovae and shock breakout dynamics. Publications highlight ultraviolet spectral analysis, quantum entanglement applications in astrophysics, and late-time observations with JWST. His team's work bridges observational astronomy with theoretical models to advance cosmology and stellar evolution studies.

• Sustainable Building Design
• Energy Benchmarking
• Urban Climatology
• +۵ مورد دیگر

Professor Priya Rajagopalan is the Associate Dean (Research and Innovation) and Director of the Post Carbon Research Centre for Infrastructure and the Built Environment at RMIT University's School of Property, Construction and Project Management. Her work focuses on sustainable built environments, energy efficiency, and urban climatology. She actively engages with industry and governments to develop practical solutions for climate change adaptation and mitigation. Her research interests include sustainable building design, energy benchmarking, urban heat island effects, indoor environmental quality simulation, lighting, acoustics, and citizen science approaches to urban microclimate monitoring. She has led multidisciplinary teams and secured competitive grants to create actionable guidelines for the building industry, such as energy performance benchmarks for aquatic centers adopted by Aquatics and Recreation Victoria. Priya’s articles consistently address challenges in urban thermal resilience, indoor air quality, and building system optimization. Recent trends show her expanding focus on user-centric design solutions and integrating machine learning into environmental modeling for higher precision. She has received the National University of Singapore Research Scholarship Award and maintains strong collaborations with organizations like Energy@RMIT. Her teaching includes the Master of Energy Efficient and Sustainable Building Programme, emphasizing cutting-edge tools for navigating evolving environmental standards. Priya’s advisory role and supervision of research projects highlight her commitment to advancing AI-driven frameworks for net-zero building design, circadian lighting systems, and urban cooling strategies. She also leads initiatives like the HEAL Network to enhance health resilience against urban climate challenges.

• Technology and Innovation Management
• Artificial Intelligence
• Industrial Internet of Things
• +۶ مورد دیگر

Frank Adjogble is a distinguished academic and industry professional specializing in technology and innovation management. He serves as a faculty member at the University of Hagen and lecturer at TÜV Akademie Rheinland GmbH, teaching IT security, technology intelligence, and software engineering. His academic credentials include a Ph.D. in Technology and Innovation Management from the University of Hagen (collaboration with Fraunhofer Institute), an M.Sc. in Computer Science from the University of Siegen, and specialized certifications in technology management. Professionally, Adjogble has held senior roles in the steel and aluminum industries, including General Manager of Digital Technologies at SMS-Digital and leadership positions at SMS-SIEMAG. His expertise spans automation systems, manufacturing processes, and global project management in rolling mills. He actively bridges academia and industry, supervising master’s students and mentoring research teams. His research focuses on AI-driven manufacturing, Industrial IoT, and technology intelligence using advanced analytics (e.g., neural networks, data envelopment analysis). Notable awards include the James Farrington Award and Hunt-Kelly Award. He contributes to innovation through cross-disciplinary collaboration and has authored over 20 publications since 2014, emphasizing AI applications in metals industries and digital transformation strategies.

Brad Barlowمشاهده پروفایل

دانشیار

• Stellar Astrophysics
• Binary Star Systems
• Stellar Evolution
• +۵ مورد دیگر

Brad Barlow is an Associate Professor in the Department of Physics & Astronomy at the University of North Carolina at Chapel Hill (UNC-CH), where he leads a research group focused on hot subluminous stars and their binary interactions. Previously, he held positions at High Point University (2013–2024), including roles as Associate Professor of Astrophysics, Director of Culp Planetarium, and Co-Director of the Natural Sciences Fellows Program. Education : Ph.D., Physics, UNC-CH (2011) M.S., Physics, UNC-CH (2008) B.S., Physics, Mississippi State University (2006) Postdoctoral Researcher, Penn State University (2011–2013) Research Interests : Barlow’s group studies hot subluminous stars (e.g., sdB, sdO/B, pre-ELMs) as products of binary evolution. Key areas include: Binary interactions (Roche lobe overflow, common envelope ejection) Gravitational wave sources and supernova progenitors Instrumentation development (low-cost spectrographs) Follow-up observations of transient surveys (e.g., LSST, TESS) His work links astrophysical phenomena to exoplanet dynamics and gravitational wave physics. Recent Research Trends : The 15 most recent articles focus on binary star dynamics, relativistic effects in light curves, pulsating stars, and discoveries of rare systems like AM CVn binaries and eclipsing white dwarf pairs. Collaborations span global institutions, emphasizing time-domain astronomy and spectroscopic surveys. Grants & Awards : NC Space Grant (2024): Optical search for spider binaries Lead organizer of sdOB12 (2025), an international conference on hot subdwarfs Labs & Teams : Directs a multidisciplinary group at UNC-CH, including undergraduates, graduates, and postdocs (e.g., Alekzander Kosakowski). The group uses facilities like SOAR telescope, Skynet, and Evryscope for data collection and analysis.

Behrouz Arabiمشاهده پروفایل

پژوهشگر ارشد

• Sustainability
• UN Sustainable Development Goals (SDGs)
• Performance Management
• +۸ مورد دیگر

Dr. Behrouz Arabi is a Research Fellow at the University of York's School for Business and Society, focusing on the H3 Project. With a 23-year career bridging academia and industry, he specializes in sustainability, performance management, and decision-making tools within energy and agri-food sectors. His research integrates methodologies like Multiple Criteria Decision Making (MCDM) and Data Envelopment Analysis (DEA) to advance sustainable practices. Education: BSc and MSc in Applied Mathematics (Operations Research), PhD in Performance Management-Energy Management from the University of Malaya (2013). Awarded the Best PhD Student Excellence Award and Bright Spark Scholarship. Research Interests: Sustainable food cold chains, eco-efficiency modeling in power plants, data analytics in agriculture, and circular economy strategies. Notable contributions include the DEA-TOPSIS hybrid model for refrigeration technology selection. Awards: Recipient of the Best Paper Award (POMS 2020), Iran National Productivity Network Award, and Prime Award 2024 for contributions to the UKRI Circular Chem project. Grants & Projects: Leading the Zero Emission Cold Chain (ZECC) and Healthy Soil, Healthy Food, Healthy People initiatives. Collaborated with institutions like Heriot-Watt University and the Iran Renewable Energy and Energy Efficiency Organisation (SATBA). Labs/Teams: Active in cross-sectoral collaborations, organizing workshops on net-zero technologies and circular economy. Member of the Journal of Energy and Economic Development editorial board.

Jørgen Roseمشاهده پروفایل

پژوهشگر

• Energy Conservation
• Energy Efficiency
• Building Retrofit
• +۳ مورد دیگر

Jørgen Rose is a Senior Researcher and Head of Research Group at the Department of the Built Environment, Aalborg University. His work focuses on energy efficiency, building retrofitting, and sustainable urban development. He leads projects such as the 'Bygningshub – data til den grønne omstilling af bygninger' and contributes to initiatives like the EU-funded FuturHist project. His research emphasizes life cycle assessment (LCA), district-level energy planning, and policy frameworks for climate-resilient buildings. Rose has co-authored over 160 publications and actively engages in media discussions on topics like energy renovation potentials and carbon footprint reduction. Key Projects: Climate Adaptation in Building Regulations, FuturHist (EU Horizon Europe), LCA-Based Limit Values for Construction Expertise: Energy Conservation, Sustainable Architecture, Historic Building Renovation Media Contributions: Debates on green building transitions and cost-effective energy policies Rose’s research bridges technical innovation with policy implementation, particularly in optimizing energy systems and reducing carbon footprints across residential and historic buildings. His work frequently addresses Denmark’s national building regulations and international sustainability standards.

• Business Analytics
• Management Science
• Healthcare Systems
• +۳ مورد دیگر

Dr. Dursun Delen is the Spears Endowed Chair in Business Administration and Patterson Family Endowed Chair in Business Analytics at Oklahoma State University (OSU). He serves as the Director of Research for the Center for Health Systems Innovation and holds the rank of Regents Professor in the Department of Management Science and Information Systems at the Spears School of Business. His research focuses on business analytics, healthcare systems, machine learning, and data-driven decision-making. With over 30 years of experience, he has published extensively on topics including employee well-being, e-commerce strategies, disaster risk management, and Industry 4.0 adoption. He has contributed to 272 editorial works and serves as Specialty Chief Editor for AI in Business at Frontiers in Artificial Intelligence. His recent publications highlight interdisciplinary applications of machine learning, from 5G network optimization to nursing home operational efficiency during pandemics. His work bridges academic research with practical business solutions, emphasizing data science's role in strategic decision-making. He leads initiatives in health systems innovation and has pioneered methodologies in ensemble decision-making frameworks.

• Operations Research
• Distributed Computing
• Linear Programming
• +۹ مورد دیگر

Mohammad Ali Raayatpanah is an Associate Professor in the Department of Mathematical and Computer Sciences at Kharazmi University, Iran. He served as a Visiting Scientist at the Montpellier Advanced Knowledge Institute on Transitions, hosted by the Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) from September 2024 to July 2025. Education: B.Sc. in Applied Mathematics from Kashan University, Iran (2004) M.Sc. in Applied Mathematics from Tehran University, Iran (2006) Ph.D. in Applied Mathematics from Tehran University, Iran (2013) Research Focus: Dr. Raayatpanah specializes in operations research and distributed computing, with expertise spanning linear/integer programming, network flows theory, communication networks, and network coding. His work extends to sustainable food supply chains, integrating food safety, environmental concerns, and uncertainty analysis through mathematical programming. His current research project addresses 'Mathematical Programming and Robust Optimization Techniques for Resilient and Sustainable Green Food Supply Chains'. Publication Trends: Analysis of his 2018-2025 publications reveals consistent emphasis on robust optimization for network design, particularly in wireless networks (Wireless Body Area Networks, vehicular networks) and healthcare systems. His work systematically addresses energy efficiency, resilience under attacks/uncertainty, and mathematical programming applications across supply chains and telecommunications, demonstrating methodological rigor in handling parameter uncertainty. Research Environment: During his fellowship, he collaborated at LIRMM, leveraging their infrastructure for network optimization research. His work bridges theoretical operations research with practical applications in critical infrastructure and sustainability challenges.

Gary Simpsonمشاهده پروفایل

مدرس ارشد

• Data Envelopment Analysis
• Performance Measurement
• Higher Education Management
• +۴ مورد دیگر

Gary Simpson is a Senior Lecturer at Aston Business School, part of the College of Business and Social Sciences at Aston University. He specializes in Operations and Service Management, with a focus on Data Envelopment Analysis (DEA), performance measurement, and educational technology innovation. Education: Doctor of Philosophy (1996), University of Salford Certificate in Education (1996), University of Central England BSc Joint Honours in Science (Mathematics & Computer Science, 1987), University of Salford Research interests include: DEA applications in education and business analytics Spreadsheet model development and validation Technology integration in higher education (e.g., gamification, VLEs) Educational policy evaluation through quantitative methods His publications span DEA methodologies, FDI impacts, and education policy, with a focus on nonparametric techniques and efficiency analysis. Notable work includes comparative studies on school performance and gender-based GCSE outcomes. Awards: Fellow of the Higher Education Academy Administrative roles include Associate Dean for Learning and Teaching at Aston Business School, and membership in the Operational Research Society. He has supervised 3 academic works and contributed to educational technology initiatives like lecture capture systems and gamification research.

Alessandro Mengarelliمشاهده پروفایل

پژوهشگر ارشد

• Motion Analysis
• Biomechanics
• Biosignal Processing
• +۳ مورد دیگر

Alessandro Mengarelli is a Research Fellow at the Department of Information Engineering (DII) of Università Politecnica delle Marche. He holds a Ph.D. in Information Engineering (2017) from the same institution, focusing on balance and motor control in dynamic tasks under Prof. Sandro Fioretti's supervision. His research integrates biomechanics, biosignal processing, and wearable technologies, with a focus on neuromuscular control strategies and assistive systems. Key research areas include motion analysis, muscle co-contraction patterns, gait biomechanics, and the application of machine learning to biomedical data. He is actively involved in IEEE societies (EMBS, CTSoc, RAS) and the Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System (IUC BOHNES). His work spans from wearable sensor development to clinical applications in diabetic neuropathy and neuro-rehabilitation. Mengarelli's recent publications emphasize innovations in gait phase recognition, EMG-based intent detection for prosthetics, and IoT-driven health monitoring. His articles highlight advancements in sensor fusion, deep learning models for biomechanical analysis, and minimal setup solutions for practical clinical use. He has contributed as a reviewer and Guest Editor for peer-reviewed journals, reflecting his engagement in advancing the field. His research bridges theoretical models (e.g., intermittent control theory) with practical applications, aiming to improve human-machine interfaces and assistive technologies.

• Optical Communications
• Photonics
• Passive Optical Networks (PON)
• +۴ مورد دیگر

Dr. Md Saifuddin Faruk is a Senior Lecturer at the School of Computing and Engineering, Bangor University. His research focuses on advanced optical communication systems, including passive optical networks (PON), fiber-wireless convergence, and machine learning applications in signal processing. He has contributed to high-speed PON solutions, data-driven models for optical amplifiers, and seamless fiber-wireless access networks. His work emphasizes practical implementations over field-deployed infrastructure, such as 200 Gb/s bidirectional coherent PON and tunable photonic mmWave generation. Dr. Faruk frequently collaborates on interdisciplinary projects, publishing in top journals like Optics Express and Journal of Lightwave Technology . He has presented invited talks at conferences like the Asia Communications and Photonics Conference (ACP), highlighting innovations in next-generation PON technologies. Education: Not explicitly stated in texts. Labs/Teams: Engaged in photonics and optical communication research groups at Bangor University. His research trends emphasize hybrid physical-data-driven models, coherent optical systems, and network convergence. Key contributions include improving SNR estimation using Gaussian processes and optimizing power budgets in high-speed PON. Grants and advising details are not specified in the provided texts.