David Del Rey Fernández is Assistant Professor and Pratt & Whitney Canada Chair in Industrial Artificial Intelligence in the Department of Applied Mathematics at University of Waterloo. His research develops efficient numerical algorithms for solving partial differential equations on high-performance systems. He holds a PhD from University of Toronto and previously worked at NASA Langley Research Center. Research focuses on robust numerical methods, mesh adaptation, and machine learning acceleration. His work includes entropy-stable schemes, summation-by-parts methods, and discretizations for compressible flows. Recent publications address Lyapunov-consistent discretizations and scalable reduced-order modeling.
Lynn Kistler is a Professor in the Department of Physics & Astronomy at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. Her research focuses on plasma physics, space weather, and magnetospheric dynamics, particularly investigating the interactions between the solar wind and Earth's magnetosphere-ionosphere system. She holds a Ph.D. in Physics from the University of Maryland, along with a B.S. from Harvey Mudd College. Dr. Kistler's work emphasizes understanding plasma processes such as ion outflow from the ionosphere, magnetic reconnection, and storm-time magnetospheric evolution. She has led studies using data from missions like the Van Allen Probes, Solar Orbiter, and Cluster, contributing to advancements in instrumentation (e.g., the SWA suite) and computational modeling. Her research bridges observational analysis, theoretical frameworks, and machine learning to address challenges in space weather prediction and plasma dynamics. Key areas of her research include the role of ionospheric ions (O⁺, H⁺) in plasma sheet dynamics, the effects of geomagnetic storms on ring current formation, and the behavior of heavy ions in near-Earth space. She has authored or co-authored over 260 publications, spanning journals like Nature Communications , Geophysical Research Letters , and Journal of Geophysical Research . Dr. Kistler has secured grants and collaborations through initiatives like the NASA Interstellar Mapping and Acceleration Probe (IMAP) and has served as a co-investigator on multiple missions. Her work emphasizes interdisciplinary approaches, combining spacecraft observations with ground-based data and numerical simulations to unravel the complexities of Earth's space environment.
Laura (Kai) Burrus is a Professor in the Department of Biology within the College of Science and Engineering at San Francisco State University, where she has been a faculty member since 1997. Her research has evolved from studying Wnt signaling in developmental biology to addressing climate change resilience through microbial ecology. Education: BS in Chemistry - College of William and Mary (1986) PhD in Biochemistry - University of Wisconsin-Madison (1991) Post-doc in Developmental Biology - Harvard University (1996) Dr. Burrus' research has historically focused on the biochemical and cellular mechanisms underlying Wnt gradient formation in chick embryos, with relevance to birth defects and cancer. Her work has been funded by NIH, NSF, CSUPERB, and MDA over the last 20 years. She is currently transitioning her research to analyze the role of microbes in climate change resilience, motivated by her recognition that 'climate change is inherently racist.' She is actively involved with Lifting Black Voices in STEM and is leading an effort to launch an interdisciplinary Certificate in Climate Change Causes, Impacts, and Solutions. As one of five LGBTQIA biology faculty at SFSU, she brings unique perspectives to her work on inclusive classroom practices. Her publication record spans from 1994 to 2021, with recent work focusing on Wnt signaling mechanisms, educational approaches in STEM, and the transition to climate change research. Her research shows a clear evolution from fundamental developmental biology to applied environmental science, while maintaining a strong foundation in molecular and cellular mechanisms. Scientific Contributions: Pioneering work on Wnt protein trafficking and modification Research connecting Wnt signaling to cancer biology Leadership in developing inclusive STEM education practices Transition to climate change resilience research with focus on microbial ecology Dr. Burrus has mentored numerous undergraduate and graduate students throughout her career, with many alumni going on to pursue advanced degrees and careers in science. She has been actively involved in pedagogical innovation and is pioneering new approaches to effectively communicate research to both scientific and lay communities. Her lab has received funding from multiple sources including NIH, NSF, CSUPERB, and MDA. She is currently involved in oyster reef restoration research in the San Francisco Bay, investigating microbial communities as indicators of climate resilience. This work represents an aspirational shift from her previous focus, leveraging molecular expertise to address pressing climate challenges while mentoring students from diverse backgrounds.
Hina Tabassum is an Associate Professor at the Lassonde School of Engineering , York University, Canada, specializing in 5G/6G wireless communications and sensing applications. She was awarded the York Research Chair in 2023 for her work in 5G/6G-enabled mobility and sensing. Areas of Expertise: THz communications, WiFi sensing, and multi-band wireless systems Editorial Roles: Area Editor for IEEE OJCOMS and Associate Editor for multiple IEEE journals Research Focus : Ultra-reliable low-latency communication Reconfigurable intelligent surfaces (STAR-RIS) Machine-type communications Energy-efficient network design Scientific Recognition : Stanford's Top 2% World Researchers (2021-2024) Lassonde Innovation Early-Career Researcher Award (2023) N2Women Rising Stars (2022) Multiple IEEE Exemplary Editor/Reviewer Awards
Dr. Chitra Rangan is a Professor in the Department of Physics at the University of Windsor and serves as the Associate Dean of the Faculty of Graduate Studies. She holds cross-appointments in Chemistry and Biochemistry (2008–2011) and has been a Visiting Associate Professor at the University of Michigan (2006–present). Her research focuses on quantum control, nanoplasmonics, and light-matter interactions, with applications in clinical diagnostics and quantum computing. She leads the BiopSys NSERC Strategic Network and contributes to Mathematics of Information Technology and Complex Systems (MITACS) . Education: Ph.D. in Physics, Louisiana State University (2000) M.Sc., Indian Institute of Technology, Madras (1993) B.Sc., University of Madras (1991) Affiliations: Ontario Physics Education Network (PI) NSERC Evaluation Committee (2018) International Day of Light Steering Committee (2018) Her research interests span quantum control theory, nanoplasmonic biosensors, and optimization in medical physics. She has advised over 40 students, many of whom pursue advanced degrees or careers in academia and industry. Notable grants include NSERC, CFI, and Mitacs funding. Publications highlight advancements in quantum state initialization, nanoplasmonic sensor design, and trapped-ion qubit control. Awards include the CAP Medal for Teaching and UWindsor Research Excellence (Emerging Scholars). Dr. Rangan actively promotes science outreach, organizing events like Science Rendezvous Windsor and delivering public lectures on quantum mechanics and medical physics. She has mentored dozens of students through co-op programs and summer projects, emphasizing hands-on learning and interdisciplinary collaboration.
Kristen L. Corbosiero is a Professor in the Department of Atmospheric & Environmental Sciences at the University at Albany, State University of New York. Her primary research focuses on understanding the structure, intensity changes, and environmental interactions of tropical cyclones, including processes like secondary eyewall formation and rapid intensification. She utilizes both observational data and numerical models to explore topics such as cloud microphysics, vertical wind shear effects, and the role of lightning in storm dynamics. Education: PhD, Atmospheric Science, University at Albany, SUNY, 2005 MS, Atmospheric Science, University at Albany, SUNY, 2000 BS with Distinction, Atmospheric Science, Cornell University, 1997 Research Interests: Dr. Corbosiero investigates tropical cyclone behavior, including the formation of hurricane rainbands and secondary eyewalls, the impact of environmental conditions on storm evolution, and the influence of cloud microphysical parameterizations. Her work also addresses the predictability of heavy rainfall events linked to tropical systems, such as atmospheric rivers and remnant cyclones. Articles & Research Trends: Her recent publications emphasize ventilation processes in tropical cyclones, diurnal pulsations in hurricane structure, and the climatological significance of downshear reformation. She collaborates on projects funded by NASA, NOAA, and UCAR, advancing the understanding of cyclone dynamics and forecast improvement. Advising & Students: Dr. Corbosiero has mentored numerous graduate and undergraduate students, many of whom have contributed to studies on tropical cyclone evolution, precipitation patterns, and mesoscale meteorology. Notable advisees include Nicholas Johnson (ventilation in sheared storms) and Alex Mitchell (eastern Pacific cyclone variability). Labs & Teams: Her research group actively explores topics like tropical cyclone predictability, lightning activity in storms, and the North American Monsoon System’s interaction with eastern Pacific systems. Current projects involve ensemble-based sensitivity analysis and high-resolution numerical simulations.
Bret Windom is Associate Professor of Mechanical Engineering at Colorado State University's Walter Scott, Jr. College of Engineering, specializing in combustion science and alternative fuels. He directs research on physiochemical fuel characterization, laser diagnostics, and energy conversion systems. Research investigates combustion dynamics of sustainable fuels, propulsion systems, and emission reduction strategies. Recent projects include oxymethylene ethers as low-sooting biofuels, hydrogen production systems, and hybrid SOFC-engine power generation. Funded by DOE, ONR, and Caterpillar, his work advances low-carbon energy technologies. Recipient of the SAE Teetor Educator Award (2018) and multiple research fellowships. Leads the Chemical Energy Conversion Laboratory, mentoring graduate students in combustion research. Current industrial collaborations focus on marine engine decarbonization and lubricant ignition behavior. Recent Publications demonstrate strong focus on sustainable fuels (hydrogen, LPG, OMEs), advanced diagnostics (laser spectroscopy, NMR), and energy system integration (SOFC hybrids, scramjets). Article keywords frequently include combustion optimization, emissions reduction, and alternative fuel characterization.
Dr. Ali Nazemi is an Associate Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University, where he joined in 2015 as a Strategic Hire in Water Resources. He holds adjunct appointments at the University of Saskatchewan's School of Environment and Sustainability and is an Associate Member of the Global Institute for Water Security. His foundational education includes a PhD from the University of Birmingham (UK), an MSc from Ferdowsi University of Mashhad (Iran), and a BSc from KNT University of Technology (Iran). Dr. Nazemi's research advances methodologies for water security challenges under climate change, focusing on: Hydrological modeling and algorithm development Climate change vulnerability assessments Coupled human-water systems Hydroclimatic data diagnostics His recent publications predominantly explore climate model integration, uncertainty quantification in water systems, and hybrid modeling approaches, with consistent themes of climate adaptation and risk management across Canadian and international contexts. He has been recognized with several awards, including: Dorothy Hodgkin Postgraduate Award (UK government, 2005–2009) Best Presentation Award at IEEE World Congress on Computational Intelligence (2006) Post Graduate Teaching Award (University of Birmingham, 2004–2007) Dr. Nazemi actively supervises graduate students through his Water Security and Climate Change (WSCC) lab, with projects on climate downscaling, vulnerability assessment tools, and coupled human-water systems. He leads research collaborations with the Saskatchewan Water Security Agency, NSERC's Changing Cold Region Network, and the Global Water and Energy Cycle Experiment.
George C. Papanicolaou is the Robert Grimmett Professor of Mathematics at Stanford University , affiliated with the Mathematics Department and the Institute for Computational Mathematics and Engineering (ICME). His research focuses on waves in random media, multi-scale phenomena, imaging techniques, and financial mathematics. He has authored influential books on passive imaging, stochastic volatility in finance, and asymptotic analysis. Research Interests: Mathematical analysis of electromagnetic and acoustic wave propagation in complex environments Applications in underwater acoustics, seismology, and porous media Imaging systems using time reversal and ambient noise Stochastic modeling of financial markets and systemic risk in multi-agent systems Key Contributions: Co-authored Passive Imaging with Ambient Noise (Cambridge, 2016) Lead author of Wave Propagation and Time Reversal in Randomly Layered Media (Springer, 2007) Revised classic text Asymptotic Analysis for Periodic Structures (AMS, 2011) Advising: Supervised numerous PhD students whose records are documented on his academic page. His work spans theoretical mathematics and applied problems in engineering and finance.
Naglaa Elagamy is an Associate Teaching Professor in the Department of Mechanical and Manufacturing Engineering at Ontario Tech University. She holds a Ph.D. in Mechanical Engineering from Carleton University (2015), an M.A.Sc. in Engineering from Alexandria University (2002), and a B.Sc. in Engineering from the same institution (1994). As a licensed Professional Engineer (P.Eng.) in Ontario (2016–present) and a Certified SolidWorks Associate (CSWA), her expertise spans advanced composite materials, micro-CT imaging, stress simulation, and fatigue assessment of composite structures. Her research focuses on predicting progressive damage in materials and applying micro-CT for quantitative and qualitative damage analysis in carbon fiber reinforced polymers (CFRP). She has also explored aerodynamic performance optimization of small unmanned aerial vehicles (UAVs) through propeller design studies. Elagamy’s publications and presentations emphasize interdisciplinary approaches, combining experimental techniques like micro-CT with computational methods such as the Cohesive Zone Model and Finite Element Analysis. Her work addresses challenges in composite material durability, structural integrity, and multi-mode fatigue behavior. Beyond research, she contributes to teaching core mechanical engineering courses, including Kinematics and Dynamics of Machines, Statics, Solid Mechanics, and Computer-aided Design. Her professional recognitions include the Carleton University Development Grant (2014) and the AUD Recognition for Services (2018). Her advising and grants activities are not explicitly detailed here, but she has secured funding for her research at Carleton University. She is affiliated with the Faculty of Engineering and Applied Science and collaborates with industry and academic conferences such as SAMPE and CAMX. While specific lab affiliations are not mentioned, her research aligns with cutting-edge structural and materials analysis within the department.
David Lozinski is an Associate Professor in the Department of Mathematics and Statistics at McMaster University, Faculty of Science. His research spans combustion science, fluid dynamics, and financial mathematics. He has published extensively on topics like smoldering combustion, flame stability, and quantitative risk modeling. Teaching responsibilities include courses on risk management, actuarial mathematics, financial markets, and applied statistics. Research interests combine theoretical and applied mathematics with practical applications in combustion engineering and financial systems. Key contributions include studies on reverse smoldering mechanisms (1995), vapor diffusion flames (1995), and modern financial risk models (2024). Teaching spans undergraduate and graduate programs, covering mathematical finance, probability, and statistical inference. No scientific awards are listed in the profile. Active in curriculum development for financial mathematics programs, instructing courses like MFM 714 (Risk Management) since 2025 and STATS 3G03 (Actuarial Mathematics I) since 2024.
Prof Nikolaos Nikiforakis is a Professor at the University of Cambridge, leading the Laboratory for Scientific Computing at the Cavendish Laboratory. He holds roles including Director for Academic Programmes of the Centre for Scientific Computing, Course Director of the MPhil in Scientific Computing, and Deputy Director of the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science. He is also a Fellow and Director of Studies in Mathematics at Selwyn College, Cambridge. He directs The Gianna Angelopoulos Programme for Science Technology and Innovation. He holds a BSc in Aeronautical Engineering from the University of Manchester, followed by an MSc in Aerospace Propulsion and a PhD in 'Evolution of Detonation Waves' from Cranfield Institute of Technology. His postdoctoral research at the University of Cambridge’s Department of Chemistry focused on computational models for stratospheric ozone depletion. He later founded the Laboratory of Computational Dynamics at the Department of Applied Mathematics and Theoretical Physics before joining the Cavendish Laboratory in 2008. His research focuses on numerical algorithms and High Performance Computing for multi-physics simulations involving complex systems of nonlinear PDEs. Applications span detonation dynamics, plasma physics, and materials science, with industry collaborations for software development. His work addresses multi-scale, multi-physics problems previously deemed intractable, with practical applications in aerospace, energy, and environmental fields. He leads academic programmes in scientific computing and supervises doctoral research through the EPSRC CDT. His contributions bridge fundamental science and industrial innovation, emphasizing computational methods for materials and fluid dynamics.
Professor Charles G. Smith is a prominent academic in quantum physics and nanotechnology at the University of Cambridge's Cavendish Laboratory, affiliated with the Ray Dolby Centre for Quantum Information and Control. His research focuses on semiconductor nano-devices, quantum transport, and hybrid superconductor-semiconductor systems. He pioneered work on GaAs quantum dots, single-electron charge measurement techniques, and cryogenic scanning probe methods. Smith has developed novel low-temperature measurement tools and contributed to carbon-based nanoelectronics and graphene research. He leads major grants, including EPSRC projects on quantum integrated circuits and many-body localization. He founded Cavendish-Kinetics and Cambridge Lab on Chip, leveraging his nano-mechanical and microfluidic innovations. His work bridges fundamental physics with scalable quantum technologies. Education & Research Expertise: PhD in Physics (Implied by career trajectory) Extensive post-1985 contributions to nano-device physics Research Highlights: Quantum dot arrays and cryogenic multiplexing for high-throughput analysis Hybrid superconductor-semiconductor devices for quantum applications Graphene-based electronics and magnetoresistance phenomena Scalable quantum integrated circuits and error mitigation strategies Grant Leadership & Industry Impact: EPSRC Grant EP/S019324/1: Scaling quantum devices Program Grant EP/R029075/1: Non-Ergodic Quantum Manipulation Two spin-out companies commercializing nano-technology Labs & Facilities: Active in Cavendish Laboratory’s cutting-edge nanofabrication and cryogenics facilities, supporting large-scale quantum device integration.
Peter Molnar is a Professor at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, where he leads research in hydrology, geomorphology, and environmental engineering. His work spans river basin dynamics, sediment transport, precipitation modeling, and climate-water interactions, with field sites focused on Alpine systems. His research interests center on river basin water and sediment dynamics , precipitation analysis and stochastic modeling , fluvial systems including river networks and riparian zones , and geomorphic processes in mountain streams . Key projects include the Maggia River Experimental Site, basin sediment cascade modeling, and hydroclimatic analysis of rainfall intensity-temperature relationships. His publication record shows consistent high-impact work in journals including Nature , Nature Climate Change , and Water Resources Research , with recent focus on climate change impacts, sensor development, and sustainable agriculture. Golden Owl Award for best teaching (2011) Organizer of international workshops on geomorphology complexity and urban precipitation Patron of CometX initiative Molnar actively mentors PhD students including current candidates working on droughts in Ethiopia, Alpine Rhine sediment budgets, and mountain ecohydrology. His research is supported by Swiss National Science Foundation grants, ETH funding, and international collaborations. He leads experimental work at the Maggia River site and develops warning systems for rainfall-triggered landslides.
Dr. Jiaojiao Jiang is a Senior Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW). She holds a Ph.D. from Deakin University (Melbourne, Australia) and has published over 45 articles with 1,100+ citations. Her research focuses on AI-driven cybersecurity solutions, particularly misinformation detection and modeling information propagation dynamics. She is affiliated with UNSW's Sydney campus and can be contacted at jiaojiao.jiang@unsw.edu.au . Education: Ph.D., Deakin University, 2010s Research Interests: Artificial Intelligence applications in cybersecurity Misinformation detection and network analysis Machine learning for network security Data privacy in IoT systems Publications span topics like fake news detection via graph neural networks, multiplex network robustness, and cyber threat intelligence frameworks. Her work bridges theoretical network science with practical cybersecurity challenges.
