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Lazaros FilippidisView profile

Senior Lecturer

• Evacuation Modelling
• Human Behavior in Emergencies
• Fire Safety Engineering
• +3 more

Lazaros Filippidis is a Senior Lecturer in Evacuation Modelling at the University of Greenwich's School of Computing and Mathematical Sciences , part of the Faculty of Engineering and Science . He joined the institution in 1996 and is a core member of the Fire Safety Engineering Group . His work focuses on advancing EXODUS evacuation models and understanding human behavior during emergencies. Education: Holds a BSc (Hons) and MSc, though specific institutions are not detailed in the provided text. Research Interests: Specializes in human behavior in emergencies , adaptive decision-making , and large-scale evacuation trials . His projects include EU-funded initiatives such as SAFEGUARD , IN-PREP , and GETAWAY , addressing aviation, maritime, and urban evacuation challenges. He has pioneered methodologies for collecting human performance data and validating evacuation models. Publications & Awards: Authored/co-authored over 100 publications, including influential works on signage effectiveness, ship evacuation, and wildfire response. Recognized with the Jack Bono Engineering Communications Award (2008) and two Hodgson Prizes (1998, 2002) for exceptional contributions to fire safety engineering. Advising & Grants: Led major EU projects involving collaboration with industrial partners, managing tight schedules and delivering impactful outputs. Advised on the Horizon 2020 FIRE-IN project. Organized annual Principles and Practice of Evacuation Modelling courses and developed e-learning platforms for international audiences. Labs & Teams: Integral to the Fire Safety Engineering Group, contributing to software development (e.g., airEXODUS , urbanEXODUS ) and live trial protocols for evacuation scenarios. His work bridges academic research with real-world crisis management strategies.

Erik Van VleckView profile

Professor

• Applied Mathematics
• Numerical Analysis
• Numerical Methods for PDEs
• +3 more

Erik Van Vleck is a Professor of Mathematics at the University of Kansas, affiliated with the College of Liberal Arts & Sciences. His research focuses on applied mathematics, numerical analysis, and numerical methods for partial differential equations (PDEs), with particular emphasis on data assimilation and reaction-diffusion systems. His work bridges theoretical advancements and practical applications in computational dynamics, environmental modeling, and ecological systems. Van Vleck’s research interests include multi-scale data assimilation techniques, adaptive mesh methods, and the numerical analysis of traveling wave solutions in discrete and continuous systems. He has contributed to understanding pattern formation in ecological models, particularly in savanna ecosystems and fire-driven dynamics. His methodological innovations span numerical methods for PDEs, reduced-order modeling, and stochastic filtering approaches for complex systems. His recent work highlights trends in developing robust adaptive frameworks for data assimilation, integrating advanced numerical techniques with real-world applications in geophysics and environmental science. This includes projects on metric tensor-based mesh adaptation and projected data assimilation using sliding window methods. His contributions to theoretical foundations include spectral stability analyses for discrete dynamical systems and bifurcation studies in reaction-diffusion equations. Van Vleck has collaborated extensively across disciplines, applying mathematical tools to ecological, climatological, and biomedical systems. His research often addresses computational challenges in high-dimensional spaces, emphasizing efficiency and accuracy in modeling complex phenomena. Despite the breadth of his contributions, no specific grants or advising roles are detailed in the provided materials.

Samantha WebsterView profile

Assistant Professor

• Metal additive manufacturing technologies
• Laser-based manufacturing processes
• In-situ monitoring of manufacturing processes
• +4 more

Samantha 'Sam' Webster is an Assistant Professor in the Department of Mechanical Engineering at the Colorado School of Mines. Her research focuses on mechanics, materials science, and machine design, leveraging laser and metal additive manufacturing (AM) technologies to address human-centered challenges. She holds a B.S. in Mechanical Engineering from the University of Florida (with minors in biomechanics and music performance) and a Ph.D. in Theoretical and Applied Mechanics from Northwestern University, advised by Dr. Jian Cao. Her postdoctoral work at NIST's Material Measurement Laboratory under Dr. Carelyn Campbell explored hybrid metal AM techniques to mitigate defects and optimize microstructures. Key research methods include custom manufacturing setups and multi-scale in-situ observations like high-speed X-ray imaging. Research Themes: Laser directed energy deposition (DED-LB), multi-material fabrication, defect formation mechanisms Awards: NSF GRFP, SME 30 Under 30 recognition Her work bridges fundamental materials science with practical manufacturing solutions, emphasizing real-world applications through innovative fabrication approaches.

Dejun YangView profile

Associate Professor

• Networking
• Mobile Sensing
• Edge Computing
• +5 more

Dejun Yang is an Associate Professor in the Department of Computer Science at Colorado School of Mines. He directs the NEMOS (Networking and Mobile Sensing) Lab, focusing on advancing networking, mobile sensing, and edge computing through interdisciplinary approaches involving game theory, optimization, machine learning, and algorithm design. His work addresses challenges in resource allocation, security, and privacy across domains like IoT, quantum internet, and blockchain-based systems. Education: B.S. in Computer Science, Peking University (2007) Ph.D. in Computer Science, Arizona State University (2013) Research Interests: Networking and satellite communications Edge computing security and SLA enforcement Incentive mechanisms for crowdsourcing and blockchain Quantum internet resource distribution Privacy-preserving mobile sensing Recent Article Trends: His 2023-2025 work emphasizes blockchain payment networks (e.g., fee-aware routing, crypto capital incentives) and edge computing SLA markets. Earlier studies focused on crowdsourcing mechanisms and spectrum auctions. Scientific Awards: Recipient of Best Paper Awards at GLOBECOM’15, ICC’12, ICC’11, MASS’11, and a Best Paper Runner-Up at ICNP’10 (2010-2015). Lab & Collaboration: Leads the NEMOS Lab, which develops innovative solutions for mobile sensing, edge computing, and secure distributed systems. Active in interdisciplinary collaborations involving industry partners and academic institutions.

Hristo ChipilskiView profile

Assistant Professor

• Data Assimilation
• Artificial Intelligence
• Numerical Weather Prediction
• +2 more

Hristo Chipilski is an Assistant Professor in the Department of Scientific Computing at Florida State University. His research focuses on data assimilation, artificial intelligence, numerical weather prediction, and atmospheric dynamics, combining theoretical, computational, and applied approaches. Education: 2021-2023 ASP Postdoctoral Fellow (NCAR), 2016-2021 PhD in Meteorology (University of Oklahoma), 2012-2016 MMet in Meteorology and Climate (University of Reading, UK) Research Interests: Data assimilation (optimal combination of models and observations) drives his work, particularly for atmospheric systems. He explores AI integration with traditional assimilation methods, targeting convective-scale weather prediction and real-time high-performance computing applications. His studies analyze bore-generating convection, cloud microphysics, and multiscale dynamics. Article Trends: Recent publications emphasize nonlinear ensemble filtering techniques, diffusion models, and generative AI for data assimilation in geophysical systems. Topics span surface quasi-geostrophic dynamics, partial observation handling, and real-time numerical weather prediction (NWP) frameworks optimized for high-performance computing.

Ruth MilmanView profile

Associate Professor

• Systems Control Theory
• Model Predictive Control Systems
• Optimization
• +3 more

Ruth Milman is an Associate Professor in the Department of Electrical, Computer and Software Engineering at the University of Ontario Institute of Technology. She holds a BASc (Honours Computer Engineering), MASc (Electrical Engineering), and PhD (Electrical Engineering) from the University of Toronto (1995, 1997, 2004 respectively). Her research focuses on advanced control systems, including Model Predictive Control (MPC), systems control theory, nonlinear control, constrained systems, and optimization. She has contributed to adaptive control of electromechanical systems and disturbance rejection in MPC frameworks. Her academic career includes teaching core engineering courses such as Discrete Math, Digital Systems, Probability and Random Signals, Linear Algebra, and Calculus. Her honors include multiple Ontario Graduate Scholarships (1998-2001) and the IEC Everitt Award (1994-1995) for excellence in communications systems. Dr. Milman's publications span over two decades, emphasizing algorithmic advancements in MPC and optimization. Recent work includes non-feasible active set methods for QP subproblems and transient response shaping in control systems. Technical reports highlight her contributions to pressure control and spline-based motor control strategies. Her expertise bridges theoretical control systems with practical engineering challenges, particularly in industrial and electromechanical applications. She maintains an active research agenda with a focus on real-time control systems and system robustness.

• Robotics
• Control Systems
• Nonlinear Control
• +5 more

Dr. Maarouf Saad is a Lecturer in the Department of Electrical Engineering at École de Technologie Supérieure (ÉTS), Université du Québec. He holds a B.Sc.A. and M.Sc.A. from Polytechnique Montréal and a Ph.D. from McGill University. His research spans robotics, control systems, and sustainable energy applications, with a focus on nonlinear control, UAVs, exoskeleton rehabilitation systems, and smart grid technologies. Education: B.Sc.A., M.Sc.A. (Polytechnique Montréal), Ph.D. (McGill) Research Units: GREPCI (Power Electronics), SYNCHROMEDIA (Telepresence), INIT Robots (Haptic Interfaces) His work integrates adaptive control algorithms with artificial intelligence in robotics, particularly for rehabilitation and aerospace systems. He has pioneered fixed-time sliding mode controllers for quadrotors and developed impedance-based methods for distribution system monitoring. In smart grids, he focuses on voltage stability analysis and distributed generation optimization. Key research trends include nonlinear control of electrohydraulic systems, modeling of flexible manipulators, and cooperative control strategies for multi-agent systems. His publications emphasize practical implementations in real-world scenarios, from autonomous airships to exoskeletons for upper-limb rehabilitation. Dr. Saad supervises numerous graduate students across diverse projects, including UAV control, cable robot rehabilitation systems, and energy management in hybrid microgrids. His collaborations extend to institutions like CAE Inc. and laboratories in telepresence and robotics.

• Model Predictive Control (MPC)
• Optimization Techniques
• Aerospace Engineering
• +3 more

Eric Kerrigan is a Professor of Control and Optimization at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He holds a joint appointment in the Department of Aeronautics. His research focuses on Model Predictive Control (MPC), numerical optimization techniques, and their applications in aerospace, renewable energy, and information systems. Key projects include developing real-time optimization algorithms for embedded systems, co-design frameworks for closed-loop systems, and drag reduction in aerodynamics. He has supervised over 30 PhD students and post-doctoral researchers, many of whom have secured academic positions. Education: PhD in Control Engineering from the University of Cambridge and BSc in Electrical Engineering from the University of Cape Town. Research interests emphasize robust control methods, dynamic optimization, and interdisciplinary applications. Notable contributions include the ICLOCS (Imperial College Optimal Control Software) toolbox and frameworks for energy-efficient UAV communication networks. His work is funded by EPSRC, the European Commission, and industry partners like Siemens and ESA. Funding and collaborations include grants from the Royal Academy of Engineering and Royal Society, with consulting roles in industrial control systems. Editorial roles include Associate Editor for IEEE Transactions on Automatic Control and former Senior Editor for IEEE Transactions on Control Systems Technology . Labs and affiliations include the Control and Power Research Group, Energy Futures Lab, and Space Lab at Imperial College.

• Theoretical Physics
• Nuclear Physics
• Particle Physics
• +7 more

Christian Forssén is a Professor in theoretical physics at Chalmers University of Technology, affiliated with the Department of Physics and the Division of Subatomic, High Energy and Plasma Physics. His research focuses on theoretical nuclear and particle physics, employing advanced computational tools like Bayesian methods and machine learning to study low-energy effective field theories, nuclear forces, and astrophysical connections. He is an elected Fellow of the American Physical Society and a member of The Royal Society of Arts and Sciences in Gothenburg. Key research interests include nuclear many-body systems, symmetry energy in neutron-rich matter, and precision calculations of nuclear observables. His work bridges fundamental symmetries and astrophysical phenomena, such as neutron star properties and dark matter interactions. Recent studies emphasize Bayesian parameter estimation in chiral effective field theory and emulation techniques for large-scale ab initio calculations. Publications highlight breakthroughs in neutron skin predictions for 208Pb, first observations of exotic nuclei like 28O, and rigorous constraints on three-nucleon forces. Awards include recognition for contributions to nuclear theory and computational methods. Ongoing projects involve collaborations on dark matter detection and precision measurements of neutron halo nuclei.

Jonathan SkinnerView profile

Associate Professor

• Anthropology of Events
• Dark Tourism
• Cultural Heritage
• +4 more

Dr. Jonathan Skinner is a Reader in the Anthropology of Events at the University of Surrey's Department of Hospitality and Events. He holds MA and PhD qualifications and is a Senior Fellow member of the Higher Education Academy. His work focuses on contested events, dark tourism, and the anthropology of social dancing and health. Previously, he lectured at Queen's University Belfast, the University of Roehampton, and the University of Abertay Dundee, where he contributed to academic leadership roles including chairing AHRC doctoral programs. His research explores topics such as disaster tourism in Montserrat, cultural mediation by tour guides, and the role of festivals in conservation efforts. Notable achievements include co-editing Collaborations: Anthropology in a Neoliberal Age , which won the 2020 Best New Book Award. Dr. Skinner combines fieldwork with innovative methods like dance-based ethnography, as seen in his podcast series on body awareness in research. He has also engaged in applied projects like community well-being initiatives and policy work on sea turtle conservation in Anguilla. His recent publications highlight interdisciplinary themes linking anthropology to health, tourism, and environmental policy. Awards include recognition for his collaborative research and contributions to higher education pedagogy. Dr. Skinner's work bridges academic rigor with practical community engagement, emphasizing the transformative potential of cultural practices and events.

Liu ChunleiView profile

Professor

• Atmospheric Physics
• Climate Science
• Meteorology
• +3 more

Professor Liu Chunlei is affiliated with the Department of Atmospheric Physics at Guangdong Ocean University, where he leads research within the South China Sea Institute of Marine Meteorology. His expertise spans climate dynamics, ocean-atmosphere interactions, and tropical cyclone studies. He holds a PhD from the University of Manchester (1991) and has contributed to numerous high-impact projects funded by the National Natural Science Foundation of China and the Fujian Key Laboratory of Severe Weather. His recent work focuses on energy flux discrepancies, moisture transport mechanisms, and cyclone development dynamics. Liu has presented at international conferences like the SPARC General Assembly and the 5th International Electronic Conference on Atmospheric Sciences. Education: PhD in Atmospheric Physics (University of Manchester, UK, 1991), MSc in Atmospheric Chemistry (State Meteorological Bureau of China), BSc in Earth and Space Sciences (USTC, 1985). Research interests include atmospheric physics, climate modeling, and extreme weather events. His publications analyze global energy budgets, tropical cyclone sensitivities, and ocean surface heat flux dynamics. Collaborations with institutions like ECMWF and NASA highlight his international reach. No scientific awards are explicitly listed. Grants include projects on severe weather (2021) and climate feedback mechanisms (2020-2022). He advises through the South China Sea Institute, focusing on marine meteorology and regional climate studies.

Brett WilliamsView profile

Professor

• Paramedicine
• Emergency Care
• Healthcare Education
• +3 more

Brett Williams is a Professor of Paramedicine and Director of International Engagement at the School of Primary and Allied Health Care, Monash University, within the Faculty of Medicine, Nursing and Health Sciences. With over 20 years of academic leadership in paramedicine, he specializes in educational research, mentorship, and professional development. He has published over 350 peer-reviewed articles, supervised 14 PhD completions, and is currently mentoring 10 PhD students. His work focuses on paramedicine professionalization, global capacity-building, and pre-hospital emergency care innovation. Research interests include paramedic education, shift work tolerance, trauma resuscitation protocols, and cross-cultural healthcare challenges. He leads projects on paramedic mental health, community paramedicine frameworks, and international research agendas. Notable collaborations span Ireland, Saudi Arabia, and Jordan, addressing issues like vaccination adherence, emergency care delivery, and workplace resilience. Key achievements include national teaching awards and grants from bodies like the Victorian Department of Human Services and Telematics Trust. Awards highlight contributions to paramedicine education and clinical practice improvement. His work aligns with UN Sustainable Development Goals related to health equity and quality education. Labs/Teams: Director of the Paramedic Health and Wellbeing Research Unit (PHAWRU), collaborating with global partners on paramedic resilience and clinical training innovations.

Barbara BrunsView profile

Adjunct Professor

• Education Policy
• Teacher Quality
• Political Economy of Education
• +3 more

Barbara Bruns is an Adjunct Professor at Georgetown University's Walsh School of Foreign Service and a Visiting Fellow at the Center for Global Development. She holds degrees from the University of Chicago and the London School of Economics. Her career spans three decades as an education economist at the World Bank, focusing on Latin America's education systems. Her research emphasizes teacher quality, systemic reform politics, and accountability mechanisms. Notable works include 'Great Teachers: How to Raise Student Learning in Latin America and the Caribbean' (2015) and studies on Brazil's education challenges. She analyzes how political dynamics influence educational outcomes, particularly in Peru, Ecuador, and sub-Saharan Africa. Publications highlight classroom observation techniques, teacher performance incentives, and the role of learning data in policy. Her work bridges academic research with actionable policy insights, addressing both regional specifics and global SDG frameworks. Bruns collaborates with international organizations to translate evidence into reform strategies.

• Computer Science
• Data Analysis
• Data Visualization
• +7 more

Patrick Rhodes is an instructor of technical/visual communication and data visualization at Arizona State University (ASU), affiliated with the College of Integrative Sciences and Arts' School of Applied Professional Studies (CISA). He joined ASU in 2017 and teaches courses on visual communication, data visualization tools, and technical writing. His expertise spans computer science, data analysis, graphic design, and science communication. Education: M.S. Geographic Information Systems Technology, University of Arizona M.A. English, Arizona State University B.S. Computer Engineering, University of Memphis A.O.S. Graphic Design, Sessions College Research interests focus on data visualization, technical communication, and applying visual methods to science, sports, and environmental studies. His articles explore topics like gravitational waves, AI ethics, and sports analytics, showcasing interdisciplinary approaches to complex problems. He has also contributed to geographic information science, particularly in riparian ecology. Despite no formal awards listed, his work bridges technical expertise with creative design, evident in editorial artwork and data-driven storytelling. Advising and grants are not explicitly documented in available texts.

Nikhil PadmanabhanView profile

Associate Professor

• Astrophysics
• Cosmology
• Theoretical Physics
• +4 more

Nikhil Padmanabhan is an Associate Professor of Physics at Yale University. His research focuses on theoretical and observational cosmology, particularly in the areas of baryon acoustic oscillations (BAO), dark energy probes, and galaxy clustering analysis. He is a key contributor to the Dark Energy Spectroscopic Instrument (DESI) project, which aims to map the universe’s large-scale structure to constrain cosmological parameters. Padmanabhan holds a Ph.D. from Princeton University (2006). His work integrates advanced statistical methods, machine learning, and high-performance computing to analyze galaxy surveys. Research interests include ultra-light dark matter dynamics, cosmic density field reconstruction, and systematic uncertainties in BAO measurements. He has contributed to instrumental design for future surveys like the MegaMapper and NANCY, targeting precision cosmology. Recent studies emphasize optimizing BAO analyses using neural networks, exploring Lyman-alpha forest signals, and probing primordial non-Gaussianity. His publications often address methodological improvements in covariance matrix estimation, redshift weighting, and mock catalog generation for large galaxy surveys. Education : Ph.D. in Physics, Princeton University, 2006 Key Projects : DESI, MegaMapper, NANCY, SDSS-IV Labs/Teams : Part of Yale’s Theoretical Astrophysics group and DESI Collaboration No scientific awards explicitly listed in the provided materials. Advising and grants remain unspecified in the scraped text.