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I. Safak BayramView profile

Senior Lecturer

• Electric Vehicle Grid Integration
• Smart Grids
• Demand-side Management
• +7 more

I. Safak Bayram is a Senior Lecturer (Associate Professor) in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Glasgow, UK. He joined Strathclyde in 2020 as a Chancellor's Fellow, following his role as an Assistant Professor and Scientist at Hamad Bin Khalifa University, Qatar. His research focuses on advancing sustainability and efficiency in intelligent power grids and transportation networks through system-level modeling, control, and management frameworks. Education: PhD in Electrical and Computer Engineering, North Carolina State University (2014) MSc in Telecommunications, University of Pittsburgh (2010) BSc in Electrical and Electronics Engineering, Dokuz Eylul University, Turkey (2007) His research interests center on the integration of electric vehicles (EVs), renewable energy, and energy storage systems into the grid to decarbonize transportation and electricity sectors. He specializes in smart charging, demand-side management, harmonics, power quality, and V2G technologies. His recent publications (2024–2025) emphasize experimental and modeling approaches to EV smart charging impacts on transformers, phase imbalance, and grid compatibility, reflecting a strong focus on real-world deployment and grid resilience. Scientific Awards: Best Paper Award, IEEE SmartGridComm (2024) Best Paper Award, IEEE Workshop on Renewable Energy and Smart Grid (2015) Best Paper Award, IEEE SmartGridComm (2018) Best Readings in Smart Grid Communications (2014) Adjunct Faculty Member Appointment (2020) Dr. Bayram is actively involved in research leadership and academic service. He has secured multiple research grants as Principal Investigator, including projects on V2G hubs and off-grid EV charging. He serves as an Associate Editor for IEEE Transactions on Transportation Electrification and IET Electrical Systems in Transportation, and has organized special issues and conferences such as IEEE SmartGridComm. He regularly delivers tutorials and participates in international conferences, contributing to the global smart grid and electrification community. Labs and Research Teams: His work is supported by active collaborations with industry (e.g., Arnold Clark Automobiles Limited) and research institutions. He leads research on modular EV charging (BumblebeeEV), smart charging algorithms, and grid integration projects, often involving experimental validation and field data analysis.

Carol Verheecke-VaessenView profile

Senior Lecturer

• Applied Molecular Mycology
• Mycotoxin Research
• Food Safety
• +7 more

Dr Carol Verheecke-Vaessen is a Senior Lecturer in Applied Molecular Mycology at Cranfield University, affiliated with the Centre for Soil, Agrifood and Biosciences and the Applied Mycology Group under the Environment and Agrifood theme. She leads the Food Safety module in the MSc Food Systems & Management program and is the Director of the Mycotoxin Training Hub, developing industry-focused training and research initiatives globally. Education: PhD in Mycotoxin Research, Federal University of Toulouse, France (2014) Postgraduate Certificate in Academic Practice, Cranfield University (2021) Her research focuses on understanding the molecular mechanisms of mycotoxin production in fungi under environmental stress, particularly climate change. She develops holistic solutions from farm to fork for managing mycotoxin risks, including biocontrol agents, decision support systems, and food waste valorization. Her work spans agrifood chain contamination assessment using advanced molecular and analytical techniques. The recent publications reflect a strong trend in climate change impact on mycotoxin dynamics, real-time detection methods (e.g., CO2 monitoring, spectroscopy), biocontrol strategies in coffee and cereals, and innovative pretreatment techniques for mycotoxin analysis. Her studies often involve interdisciplinary collaborations across Europe, Africa, and Asia. Scientific Awards: Best Innovative PhD Award, Federal University of Toulouse (2015) Fellow of the Higher Education Academy (FHEA) She actively supervises PhD and MSc students and has secured funding from Research England, Innovate UK, and BBSRC. She is co-leading the development of the Magan Centre of Applied Mycology and contributes to the Africa Centre of Excellence for Sustainable Cooling and Cold-chain (ACES). Her research projects include Oats for the Future, NutriNuts, and Gender-equal mycotoxin training, emphasizing sustainable and equitable food systems. Laboratories and Research Teams: Applied Mycology Group, Cranfield University Mycotoxin Training Hub (Director) Magan Centre of Applied Mycology (Co-Lead) Africa Centre of Excellence for Sustainable Cooling and Cold-chain (ACES) – Active Member

Lorenzo CremaschiView profile

Associate Professor

• Energy Efficiency and Sustainability
• Scalable Energy Systems
• Heat and Mass Transfer Processes
• +6 more

Lorenzo Cremaschi is an Associate Professor in the Department of Mechanical Engineering at Auburn University, where he leads the High Performance Scalable Building Energy Systems and Technologies (HPS-BEST) Laboratory. His research focuses on enhancing energy efficiency in buildings and transportation systems through advanced thermal-fluid technologies. Education Ph.D. Mechanical Engineering, University of Maryland M.S. Mechanical Engineering, University of Modena and Reggio Emilia B.S. Mechanical Engineering, University of Modena and Reggio Emilia Research Focus Dr. Cremaschi's research encompasses energy efficiency, scalable energy systems, and advanced heat/mass transfer processes. His laboratory investigates refrigeration systems, low-GWP refrigerants, frost/defrost phenomena, and novel dehumidification technologies. Current projects examine electrospray-enhanced heat exchangers, two-phase flow dynamics, and spray evaporation in HVAC systems. Research Output Recent publications demonstrate strong focus on thermal-fluid phenomena in energy systems, including experimental and numerical studies of two-phase flow, refrigerant performance, frost formation dynamics, and novel dehumidification technologies. Emerging themes include electrospray applications, low-GWP refrigerants, and system optimization for sustainable HVAC. Funding and Recognition Recipient of $150,000+ grant from ASHRAE for climate lab research Laboratory Leadership The HPS-BEST Laboratory under Dr. Cremaschi's direction collaborates with national laboratories and industry partners to develop scalable energy solutions. The lab specializes in experimental analysis of heat transfer fluids, phase-change processes, and system performance optimization for refrigeration and HVAC applications.

• Natural Hazards
• Disaster Risk Reduction
• Wildfire Vulnerability
• +3 more

Maria Papathoma-Köhle is an Associate Professor at the Institute of Alpine Natural Hazards , University of Natural Resources and Life Sciences, Vienna. She holds a PhD in Tsunami Vulnerability Assessment from Coventry University (UK) and has held roles as Academic Coordinator of the MSc 'Risk Prevention and Disaster Management' at University of Vienna. Her research focuses on natural hazard vulnerability , particularly wildfire and flood risks in alpine regions, with methodological expertise in indicator-based vulnerability assessment and physical vulnerability indices . Education: PhD in Natural Hazards (Coventry University, UK) MSc in Environmental Management (University of Durham, UK) Geology Degree (University of Athens, Greece) Research: Specializes in wildfire vulnerability indices, flood risk modeling, and climate change adaptation frameworks. Developed the Physical Vulnerability Index (PVI) for buildings and contributed to EU-funded projects like FLOODLABEL and EXTEND. Awards: Elise Richter Scholarship (2016) Back to Research Grant (2012) Young European Scientist Award (2002) Projects: Led FWF-funded research on physical vulnerability indicators and collaborated on EU programs for wildfire preparedness. Current work includes climate change adaptation tools for Austrian infrastructure. Advising: Supervised 6 Master's/PhD students on wildfire and flood vulnerability topics. Publications: Over 106 peer-reviewed works; recent articles focus on wildfire indices, IPCC risk diagrams, and dynamic flooding assessment.

Abdessattar AbdelkefiView profile

Professor

• Dynamics and Vibrations
• Aeroelasticity
• Fluid Structure Interaction
• +6 more

Dr. Abdessattar Abdelkefi is a Professor in the Department of Mechanical & Aerospace Engineering at New Mexico State University's College of Engineering. He directs the Nonlinear Dynamics & Energy Harvesting Laboratory (NDEHL) and holds a Ph.D. from Virginia Tech (2012). His research bridges dynamics, fluid-structure interactions, and renewable energy, with applications in drones, MEMS, and energy harvesting. Research Focus Dr. Abdelkefi's work spans Dynamics & Vibrations , Aeroelasticity , and Robotics & Controls , emphasizing nonlinear phenomena and energy conversion. Key areas include: Vortex-induced vibrations for renewable energy harvesting Bio-inspired drone design and aerodynamic optimization Nanoscale sensors and microgyroscopes Flexoelectric and piezoelectric material applications Publication Trends Recent articles (2019-2020) focus on experimental/theoretical synergy in energy harvesting (galloping, vortex-induced, piezoelectric) and bio-inspired UAV design. Over 70% involve computational modeling validated with wind tunnel/field tests, highlighting innovations in broadband energy capture and nano/microsystem efficiency. Awards & Honors 2020: Outstanding Research Professor (MAE Academy) & Teaching-Research-Service Synergy Award (College of Engineering) 2019: Early Career Award (NMSU Research Council), Outstanding Research Professor, Los Alamos NMC Faculty Appointee 2013: Best Paper Award from Theoretical & Applied Mechanics Letters 2011–2012: Graduate Scholarships (Virginia Tech) Laboratory & Advising NDEHL researches vibration-based energy harvesting, nonlinear dynamics, and drone aerodynamics. Dr. Abdelkefi mentors graduate students in experimental/computational projects, though specific advisees are unnamed in available data.

Lukasz SzpruchView profile

Professor

• Probability Theory
• Stochastic Analysis
• Theoretical Machine Learning
• +10 more

Lukasz Szpruch serves as Professor at the University of Edinburgh's School of Mathematics and Programme Director for Finance and Economics at The Alan Turing Institute. He leads the FAIR research programme on responsible AI adoption in financial services and co-investigates the UK Centre for Greening Finance & Investment (CGFI), directing partnerships with the National Office for Statistics, Accenture, Bill & Melinda Gates Foundation, and HSBC. He maintains affiliations with the Oxford-Man Institute for Quantitative Finance. His research focuses on probability theory , stochastic analysis , and theoretical machine learning , with current investigations into deep learning foundations, mean-field models, reinforcement learning, game theory, multiagent systems, and computational optimal transport. These theoretical frameworks are rigorously applied to financial economics problems including market dynamics, risk modeling, and regulatory compliance, emphasizing mathematical precision in AI system design. Recent publications reveal a strategic shift toward responsible AI deployment in finance , addressing large language model governance, synthetic data privacy, and non-asymptotic sampling theory. His work consistently bridges abstract mathematics with financial sector applications, particularly through the FAIR programme's industry collaborations that translate theoretical advances into practical frameworks for trustworthy AI adoption. As Principal Investigator of FAIR and CGFI co-Investigator, Szpruch manages significant research funding streams focused on AI ethics in financial services and sustainable finance. His academic leadership drives cross-sector initiatives where theoretical research directly informs regulatory policy development and industry best practices, though specific student mentoring details remain unspecified in source materials. Szpruch operates at the nexus of three critical research ecosystems: the FAIR programme's industry partnerships, CGFI's sustainability-focused finance research, and the Oxford-Man Institute's quantitative finance initiatives. These interconnected teams combine mathematical rigor with real-world financial applications, developing frameworks for AI assurance, green finance metrics, and synthetic data validation that address systemic challenges in modern financial systems.

Vakur B. ErturkView profile

Professor

• Computational Electromagnetics
• Antenna Engineering
• Structural Health Monitoring
• +5 more

Professor Vakur B. Erturk is a distinguished faculty member in the Department of Electrical and Electronics Engineering at Bilkent University's Faculty of Engineering. With a PhD from The Ohio-State University (2000), his academic journey spans over two decades of impactful research and teaching. His research focuses on advanced computational electromagnetics, specializing in closed-form Green's function representations, conformal antenna design, structural health monitoring systems, and metamaterial applications. His work bridges theoretical electromagnetics with practical engineering solutions, particularly in wireless sensing and high-frequency electromagnetic analysis. Professor Erturk's publication record demonstrates consistent innovation, with recent work emphasizing efficient computational methods like the multilevel fast multipole algorithm (MLFMA) for multiscale electromagnetic problems. His research shows strong continuity in antenna theory while expanding into metamaterial-inspired sensors and structural monitoring systems. Best master thesis award (1996) He actively mentors graduate students, with over 30 PhD and MSc graduates who have contributed significantly to fields including computational electromagnetics, antenna design, and wireless sensor development. His research group maintains strong collaborations with institutions like Middle East Technical University and researchers in metamaterials and structural health monitoring. Professor Erturk teaches core courses including Microwave Engineering, Antenna Engineering, and Computational Methods in Electromagnetics, shaping the next generation of electrical engineers through rigorous theoretical and practical instruction.

Brian StemperView profile

Professor

• Biomechanics of traumatic brain injury
• Biomechanics of spine injury
• Automotive safety
• +4 more

Brian Stemper is a Professor in the Joint Department of Biomedical Engineering at Marquette University and Medical College of Wisconsin, and Professor in the MCW Department of Neurosurgery. He serves as Director of the Neuroscience and Biomechanics Research Laboratories at the Zablocki VA Medical Center in Milwaukee, where his research bridges engineering principles with clinical applications in trauma biomechanics. Dr. Stemper holds a PhD in Biomedical Engineering from Marquette University (2004) and a BS from Milwaukee School of Engineering (1998). His career progression includes positions as Assistant Professor (2004-2008), Associate Professor (2008-2017), and Professor (2019-present) across both institutions, with tenure awarded in 2023. His research focuses on biomechanics of traumatic brain injury, spine injury mechanisms, and automotive safety. Stemper's work examines how mechanical forces translate to biological damage in neural and spinal tissues, with particular interest in repetitive head impacts in sports, military aviation injuries, and automotive collision biomechanics. His laboratory develops experimental models to characterize injury thresholds and mechanisms. Analysis of his 15 most recent publications reveals consistent focus on spinal biomechanics (60%), traumatic brain injury (30%), and military/aerospace applications (10%). His work increasingly integrates computational modeling with experimental validation, particularly in personalized injury prediction and the effects of repetitive impacts. 2004 Best Paper by a Young Researcher, International Research Council on the Biomechanics of Impact 2006-2008 Listed in Who's Who in Science and Engineering 2007-2010 Listed in Who's Who in America 2008 Listed in Who's Who in the World 2009 Best Student Paper, Rocky Mountain Bioengineering Symposium 2010 NASS Best Poster Presentation, North American Spine Society Dr. Stemper has secured significant grant funding from NIH, Department of Veterans Affairs, Department of Defense, and Air Force Research Laboratory. His current research examines head impact exposure in athletes, neck and back pain in high-performance aircrew, and factors influencing addiction outcomes following brain injury. He has mentored numerous graduate students and serves on the Institutional Animal Care and Use Committee at the Zablocki VA Medical Center.

• Agent-Based Computational Economics
• Economic Networks
• Macroeconomics
• +3 more

Giorgio Fagiolo is a Full Professor of Economics at Sant'Anna School of Advanced Studies. His work spans agent-based computational economics, economic networks, and macroeconomic policy analysis. University: Sant'Anna School of Advanced Studies (Scuola Superiore Sant'Anna) Department: Economics Email: giorgio.fagiolo@sssup.it Research interests focus on agent-based modeling , macroeconomic instability , and climate-economy interactions . He develops computational models to study industrial dynamics, financial integration, and policy design in complex systems. Key themes: Endogenous growth cycles, R&D network stability, and green transition policies. Methodological emphasis: Empirical validation of agent-based models and nonlinear economic dynamics. Scientific awards include collaboration with leading institutions like ETH Zurich, Columbia University, and OFCE Sciences Po. His publications appear in journals such as Journal of Economic Dynamics and Control and Ecological Economics .

Christian Erik KampmannView profile

Associate Professor

• System dynamics analysis
• Sustainable energy development
• Electric mobility
• +1 more

Christian Erik Kampmann is an Associate Professor at the Department of Strategy and Innovation, Copenhagen Business School. He holds a Ph.D. in Management from MIT and an engineering background from DTU, bridging technical rigor with socio-economic research. Education: MIT (Ph.D. in Management), DTU (Engineering) Research Interests focus on system dynamics as applied to sustainable energy transitions, electric mobility, and green urban mobility. His methodological work enhances structural dominance analysis and eigenvalue techniques for complex system modeling. Recent publications address feedback loop gains, market misperceptions of feedback, and comprehensive analytical approaches for policy modeling, reflecting his interdisciplinary focus on sustainability challenges. Teaching includes courses on system dynamics, sustainable business strategy, and quantitative business research, with supervision of theses on electric mobility and product-service sustainability. External engagements involve board membership (Magasin du Nord, 2018-2020) and computer modeling consultancy (Zerolytics, Whitebox).

Emiliano CasatiView profile

Lecturer

• Sustainable energy engineering
• Decarbonization of heat
• Solarization of high-temperature industrial processes
• +3 more

Dr. Emiliano Casati is a Lecturer at the Department of Energy and Process Systems Engineering within the College of Mechanical and Process Engineering at ETH Zürich. His work focuses on sustainable energy engineering, particularly in decarbonizing high-temperature industrial processes and advancing solar thermal technologies. Research Interests: Sustainable energy engineering Decarbonization of heat Solarization of high-temperature industrial processes Thermal energy storage Conceptualization and prototyping of novel energy concepts Measurement of thermodynamic properties Publications Trends: Dr. Casati's recent research spans solar thermal systems (e.g., organic Rankine cycles, thermal trapping), computational tools for heat transfer simulation (FIVER), experimental thermodynamics, and industrial decarbonization. His work bridges historical analysis with cutting-edge technical innovation. Collaborations: He collaborates with leading experts like André Bardow (ETH Zürich) and Aldo Steinfeld (emeritus, ETH Zürich), contributing to multidisciplinary projects in renewable energy and process engineering.

Borjan GeshkovskiView profile

Researcher

• Control Theory
• Free Boundary Problems
• Fluid Mechanics
• +3 more

Borjan Geshkovski is a Researcher affiliated with the Universidad Autónoma de Madrid (UAM) under a Marie Skłodowska-Curie fellowship at the Conflex Project. He has been associated with institutions such as FAU Erlangen-Nürnberg, University of Deusto, and the DyCon team during his academic journey. PhD in Control Theory (2021, UAM) MSc in Applied Mathematics (2016–2018, University of Bordeaux) BSc in Applied Mathematics and Computer Science (2012–2016, University of Bordeaux) His research focuses on the intersection of Control Theory and Free Boundary Problems in fluid mechanics, with recent explorations into Deep Learning from a mathematical control perspective. Key contributions include work on turnpike properties, optimal actuator design, and controllability of nonlinear PDEs. Scientific awards include the Best Review and Presentation Prize at the 2nd ConFlex workshop (2019). His publications span topics like neural ODEs, porous medium flows, and obstacle problems, reflecting collaborations with the DyCon team and ConFlex consortium.

• CP Violation
• B Quark Physics
• Standard Model
• +5 more

Professor Guennadi Borissov is affiliated with the Department of Physics at Lancaster University , actively participating in the ATLAS experiment at CERN . His research focuses on CP violation in particles containing b quarks , aiming to explain the universe's matter-antimatter imbalance. Research Interests: Dr. Borissov investigates deviations from lepton flavor universality (LFU) using top quark decays to tauons. His work involves precision measurements of branching fractions and testing Standard Model predictions through ATLAS detector data . Recent Publications (2025): His contributions include studies on jet track functions, Higgs boson decays, W-boson cross-sections, and searches for new physics phenomena like heavy neutral leptons and long-lived particles. These articles emphasize Standard Model validation , CP violation , and detector performance . Grants & Projects: He is involved in responsive and consolidated grants funded by the STFC , supporting Lancaster's Experimental Particle Physics group and ATLAS-related research (2022–2026). PhD Supervision: Dr. Borissov supervises Beltran Fernandez Barbadillo , focusing on top quark decay measurements. Contact: Department of Physics, B016, B-Floor, Physics Building, Lancaster University. Email: g.borissov@lancaster.ac.uk .

• Computational Physics
• Biophysics
• Light-Harvesting Complexes
• +7 more

Prof. Dr. Ulrich Kleinekathöfer is a Full Professor of Theoretical Physics at Constructor University (formerly Jacobs University Bremen) in the School of Science. His research focuses on computational physics and biophysics, particularly on light-harvesting complexes, membrane transport, and quantum dynamics in biological systems. He leads the Computational Physics and Biophysics research group and coordinates the MSCA Doctoral Training Network "PhotoCaM". His educational background includes: PhD from Max-Planck-Institut für Strömungsforschung, Göttingen (1996) Diploma in Physics from Universität Göttingen (1993) Habilitation in Physics from Technische Universität Chemnitz (2002) Prof. Kleinekathöfer's research spans multiple areas of computational biophysics and theoretical physics. His primary interests include excitation energy transfer in light-harvesting complexes , molecular transport through membrane channels and nanopores , and quantum dynamics in open systems . His group develops and applies advanced computational methods including molecular dynamics simulations, quantum chemistry calculations, and machine learning approaches to study these phenomena. A significant portion of his work focuses on photosynthetic systems, particularly how energy is transferred and converted in natural light-harvesting complexes, with implications for renewable energy technologies. His recent publications demonstrate a strong trend toward integrating machine learning with traditional computational methods, particularly in the fields of quantum chemistry and molecular dynamics. There's a clear focus on multifidelity approaches that balance computational efficiency with accuracy. His work spans from fundamental quantum dynamics to applied research on antibiotic transport mechanisms, showing remarkable breadth while maintaining depth in computational methodology development. His notable recognition includes: Tan Chin Tuan Exchange Fellowship, NTU Singapore (2019) Prof. Kleinekathöfer has supervised numerous PhD students and postdoctoral researchers, with a current group comprising several PhD candidates and research associates. His research is supported by multiple funding sources including the Deutsche Forschungsgemeinschaft (DFG), European Union through MSCA Doctoral Network PhotoCaM, and previously through the Innovative Medicines Initiative "Translocation" and Marie Curie Training Program "Translocation". His collaborative network spans internationally, with partnerships at institutions in Germany, USA, Greece, and Switzerland. The Computational Physics and Biophysics Group operates within Constructor University's research infrastructure, utilizing high-performance computing resources for their simulations. The group maintains active collaborations with experimental groups to validate and inform their computational models, creating a strong interdisciplinary research environment focused on understanding fundamental biophysical processes at the molecular level.

Wayne A FullerView profile

Research Professor

• Survey Methodology
• Sampling Statistics
• Measurement Error Models
• +4 more

Wayne A Fuller is a Research Professor at Iowa State University , specializing in survey methodology and sampling statistics. His work focuses on advanced techniques for handling missing data, small area estimation, and measurement error models, with applications to agricultural surveys and public health research. Education: PhD in Statistics from Iowa State University Research Interests: Fuller's work bridges theoretical and applied statistics through: Development of fractional hot deck imputation methods Bootstrap techniques for variance estimation Small area prediction under constrained models Measurement error correction in health and agricultural data Time series analysis with autoregressive components Integration of administrative data with survey samples Publication Trends: His recent work emphasizes computational approaches to small area estimation (2016-2025), including bootstrap prediction intervals and benchmarking techniques, alongside methodological advancements in imputation and measurement error correction (2004-2015). Contact: Email: waf@iastate.edu Phone: 515-294-5830 Location: Ames, Iowa