Yu Lan is a Research Fellow at the Yale School of Public Health , specializing in spatial epidemiology and health geography . Her work integrates genomic data (e.g., WGS) with geographic information systems (GIS) to analyze transmission patterns of infectious diseases like COVID-19 and tuberculosis . Education: PhD in Geography, University of North Carolina at Charlotte MA in Geography, University of North Carolina at Charlotte Research Interests focus on space-time disease modeling , infectious disease transmission , and data-driven public health tools . She develops web-based systems for real-time disease surveillance and environmental risk assessment, including tools for private well contamination and urban neighborhood dynamics . Scientific Awards include the SISMID Scholarship (2024) , Student Honors Paper Competition Finalist (2023) , and David Woodward Digital Map Award (2021) . Collaborations include work with the Ted Cohen Lab and researchers like Joshua Warren and Eric Delmelle . Her publications emphasize genomic-spatial integration and cluster detection algorithms for diseases such as tuberculosis and SARS-CoV-2.
Dr. Mohamed Youssef is an Associate Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University. He holds a PhD (Electrical and Computer Engineering) from Queen’s University (2005). His primary affiliation is the Faculty of Engineering and Applied Science, with research focusing on propulsion systems, power electronics, railway systems, and renewable energy technologies. Education: PhD, Electrical and Computer Engineering, Queen’s University (2005) MSc, Power Electronics, Concordia University (2001) MSc, Electric Power and Machines, Ain Shams University (1999) BSc, Electric Power and Machines, Ain Shams University (1995) Research Interests: Dr. Youssef’s expertise spans propulsion systems for automotive and hyperloop technologies , power electronics for IoT and renewable energy , railway electromagnetic compatibility , and power system stability . His work emphasizes practical applications in electric vehicles, smart grid integration, and sustainable energy systems. He leads the PEDAL (Power Electronics and Drives Laboratory) at Ontario Tech. Awards and Recognition: Recipient of the NSERC Post-doctorate Scholarship (2006) Best Paper Award at IECON 2004 Award of Merit from Ontario Center of Excellence (2006) Nominated for the Howard Alper Prize (2007) Professional Activities: He serves as a reviewer for IEEE Transactions on Power Electronics , IEEE Transactions on Industrial Electronics , and others. He has held roles as Technical Chair at IEEE SEGE 2015 and Track Chair at IEEE SEGE 2016. Current affiliations include Senior Member of IEEE and Chair of the IEEE Power Electronics Chapter in Toronto. Labs and Teams: He directs the PEDAL Lab , focusing on advanced power electronics and electric vehicle technologies. Collaborations include Bombardier Transportation and Armstrong Pumps.
Steven Constable is a Professor of Geophysics at the Institute of Geophysics and Planetary Physics (IGPP) within the Scripps Institution of Oceanography at UC San Diego. He specializes in electrical conductivity studies of Earth’s crust and mantle, seafloor instrumentation development, and geophysical data analysis. His research focuses on understanding tectonic processes, subduction zone dynamics, and marine geohazards through electromagnetic methods. Education: B.S., University of Western Australia Ph.D., Australian National University Research Interests: Electrical conductivity of crust and mantle Seafloor instrumentation development Magnetotelluric and controlled-source electromagnetic (CSEM) methods Subduction zone fluid dynamics CO 2 sequestration monitoring Mid-ocean ridge magmatism Grants & Collaborations: NSF-NERC Collaborative Research: Magnetotelluric imaging of plume-ridge interactions (Galapagos) Magnetotelluric Investigation of the Salton Trough (MIST) Experiment PI-LAB Experiment at the Equatorial Mid-Atlantic Ridge Labs & Teams: He leads the Marine Electromagnetics Lab , developing cutting-edge instrumentation for marine geophysical surveys. His team collaborates globally on projects ranging from Arctic permafrost assessment to subduction zone imaging.
Chenyu You is an Assistant Professor in the Department of Applied Mathematics & Statistics and Department of Computer Science at Stony Brook University. He is affiliated with CVLab, AI Institute, and Institute for Advanced Computational Science. His research focuses on principles and practice of trustworthy machine intelligence, emphasizing generalization and reliability in machine learning, with applications to healthcare, biomedical imaging, and cognitive neuroscience. Ph.D. in Electrical Engineering from Yale University (2024) M.S. in Electrical Engineering from Stanford University (2019) B.S. in Electrical Engineering from Rensselaer Polytechnic Institute (2017) His research spans three major areas: Efficient World Foundation Models (task-agnostic pretraining, scalable adaptation), Learning with Imperfect Data (label scarcity, class imbalance), and Biomedical Foundation Models (large-scale medical AI agents). Applied work includes healthcare, biomedical imaging, and cognitive neuroscience. Recent publications (2025) include breakthroughs in sparse coding (ICML), cycle-consistent diffusion models (ICCV), optimal transport for survival analysis (MICCAI), and prompt theory (ACL). His team addresses challenges in trustworthy AI, spurious correlation mitigation, and multi-modality robustness. Scientific recognition includes Excellence in Teaching Award (2025) , World's Top 2% Scientists (2024) , and multiple IEEE TMI Platinum Distinguished Reviewer awards. He advises students Qin Ren and Yifan Wang, with alumni pursuing roles at Two Sigma, Amazon Science, and top PhD programs. His lab collaborates with leading institutions and actively seeks motivated students for flexible-start positions. He serves as Associate Editor for IEEE Transactions on Medical Imaging and Area Chair for major conferences like MICCAI and NeurIPS.
Marco Barla is a Full Professor of Geotechnical Engineering at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic of Turin, where he also leads a research group focused on energy geostructures, tunneling, slope stability, and numerical modeling. He serves as Editor-in-Chief of the ASCE International Journal of Geomechanics and holds leadership roles in international organizations such as the International Society for Energy Geostructures (President, 2025–2029) and ELGIP (Past President). He is actively involved in multiple EU and national research projects, including GEOREFIT, REGENERATE, and FOLIAGE. Research Interests: Thermoactive geostructures for shallow geothermal energy Tunnel design and construction under challenging conditions Real-time detection of debris flows and snow avalanches using fiber optics Numerical modeling of geotechnical systems Energy retrofitting of existing underground infrastructure His recent publications (2024–2025) demonstrate a strong focus on sustainable urban development through geothermal energy integration, particularly in tunnels and buildings. Key themes include energy geostructures, thermal storage, landslide monitoring, and climate resilience, reflecting his commitment to SDGs 7, 9, 11, and 13. He frequently publishes in top venues such as Tunnelling and Underground Space Technology , Geothermics , and Landslides . Scientific Awards: Telford Premium, Institution of Civil Engineers (2016) IACMAG Excellent Contributions Award (2011) Best Paper, 11th ISRM Congress (2007) Iacmag Award (2005) Top 5 Project Nominee, European Geothermal Innovation Award (2018) Advising and Grants: He supervises multiple PhD students in civil and environmental engineering and has led over 70 research projects, securing more than 2 M€ in funding from national and international sources. His projects span fundamental research (e.g., PRIN, H2020) and applied consulting (e.g., tunnel safety, landslide risk, structural monitoring). He is the scientific responsible for numerous contracts with public and private entities, including Autostrade per l’Italia and regional governments. Labs and Teams: He leads the Rock Mechanics and Rock Engineering research group at Politecnico di Torino ( www.rockmech.polito.it ), which conducts laboratory testing, field monitoring, and numerical simulations. The team is active in international collaborations and coordinates the COST Action FOLIAGE, dedicated to scaling up energy geostructure deployment.
Ian C. Bourg is an Associate Professor at Princeton University with dual appointments in the Department of Civil and Environmental Engineering and High Meadows Environmental Institute . He directs undergraduate studies in CEE and leads the Interfacial Water Group , focusing on atomistic-level simulations and macroscopic modeling of environmental systems. His concurrent affiliations include the Princeton Institute for the Science and Technology of Materials and Chemical and Biological Engineering department. Education Ph.D. in Civil and Environmental Engineering, University of California-Berkeley (2004) MSc in Chemical Engineering, INSA Toulouse (1999) B.Eng. in Chemical Engineering, INSA Toulouse (1999) Research Interests span clay mineral surface geochemistry, geologic CO 2 sequestration, kinetic isotope effects, water behavior at interfaces, and coupling geochemistry with geomechanics in porous media. His work integrates molecular simulations with experimental validation to study environmental phenomena like contaminant transport, soil carbon storage, and water dynamics in clays. Publications from 2023-2025 reveal expertise in molecular dynamics of clay-water systems, organic contaminant partitioning, cement hydration, and isotope fractionation. Key themes include Environmental Nanoscience , Geochemical Modeling , and Soft Matter Physics applications to environmental systems. Scientific Recognition NSF CAREER Awardee (2018) Advising includes mentoring 12 current and former PhD/postdoc researchers, with notable alumni at institutions like Cornell, University of Poitiers, and Oak Ridge National Laboratory. His group has produced 20+ undergraduate advisees now in academia and industry. Laboratory develops multiscale simulation tools like HybridBiotInterFoam and HybridPorousInterFoam, with active collaborations in nuclear waste management, soil remediation, and sustainable construction materials.
Dr. Paul Mitchener is a Lecturer at the University of Sheffield within the School of Mathematical and Physical Sciences . He serves as the MSc Mathematics Admissions Tutor and Course Director , contributing to both research and postgraduate education. His research lies at the intersection of Algebraic Topology and Functional Analysis , with a focus on non-commutative geometry, K-theory, index theory, and coarse geometry. He has explored applications of these areas to problems in operator algebras and topology, particularly through work on the Baum-Connes conjecture, Novikov conjecture for semigroups, and coarse homotopy groups. The 15 most recent publications highlight trends in his work: (1) Coarse Geometry (2020, 2001), (2) Novikov Conjecture (2018, 2011), (3) KK-Theory and C*-Categories (2002, 2007), (4) E-Theory (2020), and (5) Descent Techniques (2012, 2010). These works frequently involve analytical methods in topological problems.
Althaff Irfan Cader Mohideen is a Lecturer at the School of Computing, Engineering and Physical Sciences. His research focuses on Internet engineering, computer security, and applied cryptography, with expertise in security protocols, authentication mechanisms, and trust management. He has contributed to interdisciplinary projects such as the NEAT Horizon2020 initiative and the SMILE project funded by Thales Alenia Space. His work includes developing network access methodologies for rural broadband, optimizing web performance via satellite, and exploring IoT security challenges. Mohideen holds a PhD in authentication mechanisms for e-assessments and collaborated on the award-winning 'Intelligent Keyboard' project. He currently serves as an External Examiner at Staffordshire University and advocates for multidisciplinary collaboration. Research Areas: IoT Security, Network Protocols, Authentication Mechanisms, Trust Management Key Projects: NEAT (Web Performance), SMILE (Streaming Optimization), Rural WiFi Deployment His research emphasizes practical solutions grounded in formal analysis, balancing theoretical rigor and real-world applicability. He actively seeks collaborations across academia and industry, particularly in securing constrained IoT devices and improving trust-based access control systems. Awards: Queen’s Award (2011), Recognition from Google’s 'Making the web Faster' Community Mohideen’s future work targets IoT authentication protocols, trust management in distributed systems, and scalable security solutions for constrained devices. He is committed to advancing sustainable development goals through secure, accessible digital infrastructure.
Ernest Davis is a Professor at the Department of Computer Science , Courant Institute of Mathematical Sciences , New York University . His research focuses on representing commonsense knowledge in AI systems , with an emphasis on spatial and physical reasoning , and he collaborates with Gary Marcus on integrating AI and psychological models. He has authored over 50 scientific papers and three books, including Linear Algebra and Probability for Computer Science Applications (2012). His teaching includes courses on Artificial Intelligence and Fundamental Algorithms. Research Trends: His recent work examines benchmarks for commonsense reasoning , limitations of large language models (e.g., GPT-4, DALL-E 2), mathematical reasoning in AI, and the Winograd Schema Challenge . Professional Activities: He has served as an ACM reviewer, program committee member for 50+ conferences, and area editor for ACM Transactions on Computational Logic . He contributes book reviews to Computing Reviews , SIAM News , Artificial Intelligence journal, and others. Non-Technical Writing: Davis writes for general audiences on topics spanning computer science, mathematics, cognitive psychology, and literary themes, published in outlets like The New Yorker , Wired , and The Times Literary Supplement .
Balint Toth is a distinguished academic with dual affiliations: a Research Professor at the Alfréd Rényi Institute of Mathematics in Budapest and a Professor of Probability (Heilbronn Chair) at the University of Bristol 's School of Mathematics. His work bridges Probability Theory , Mathematical Physics , and Statistical Mechanics , focusing on stochastic dynamics, random walks in complex environments, and scaling limits. Key Roles: Co-Editor-in-Chief of Probability Theory and Related Fields , organizer of probability seminars in Budapest-Vienna and Bristol, and former leader of the BME Stochastics Seminar (1999–2020). Teaching: Delivers advanced courses like Probability 2 , Stochastic Differential Equations , and Percolation , emphasizing rigorous mathematical foundations. Research Themes include hydrodynamic limits, self-interacting random walks, diffusion in random media, and symmetry breaking in spin systems. His recent publications explore non-equilibrium stochastic models, anomalous diffusion, and connections between probability and physics. Teaching Materials span bilingual resources (Hungarian/English) for undergraduate and graduate courses in probability and stochastic analysis.
Peer Bork is a Professor at the European Molecular Biology Laboratory (EMBL) in Heidelberg, where he serves as Strategic Head of Bioinformatics and co-head of the Structural and Computational Biology Unit. He also holds honorary professorships at the University of Würzburg (Germany) and Fudan University (China). Educational background: PhD in Biochemistry (1990) Habilitation in Theoretical Biophysics (1995) Research interests span bioinformatics , systems biology , and microbiome analysis , focusing on functional prediction, comparative genomics, and data integration. His work explores global patterns in microbial communities, including enterotypes, drug-microbiome interactions, and planetary-scale gene fluxes. Scientific impact includes over 550 publications (70+ in Nature , Science , and Cell ) and groundbreaking discoveries like the human gut enterotypes and microbiome-based cancer biomarkers . Key projects include the SPIRE microbiome resource and the TARA Oceans expedition . Honors and leadership: EMBO member (2000) Nature Creative Mentoring Award (2008) ERC Advanced Investigator Grants (2011, 2015) Leopoldina member (2014) Honorary doctorate (University of Utrecht, 2017) Co-founder of 5 biotech companies Collaborative networks include partnerships with institutions in Berlin (Max-Delbrück-Center), Würzburg (Germany), and Shanghai (China), as well as global initiatives like the TREC expedition for environmental microbiome analysis.
Pooya Davari is a Professor and Head of the Section for Applied Power Electronic Systems at Aalborg University , Denmark. He leads the EMI/EMC in Power Electronics Research Group and serves as Vice Chair of the Energy Efficiency Mission. His research focuses on electromagnetic interference (EMI) and harmonic mitigation in power electronic systems, with over 200 publications and significant contributions to renewable energy integration. Education: B.Sc. and M.Sc. in Electronic Engineering (2004, 2008), Ph.D. in Power Electronics from Queensland University of Technology (2013) Prior Roles: Lecturer at QUT (2013–2014), Postdoc at AAU (2014) Research Interests: Harmonic and EMI analysis in grid-tied converters High power density converter design Signal processing for converter modeling Reliability of power electronic systems Article Trends: Recent work emphasizes EMI/EMC in renewable energy systems, wide bandgap semiconductors (SiC/GaN), and reliability modeling for EVs and hydrogen production via electrolysis. Sub-fields include converter topologies, grid integration challenges, and AI-driven diagnostics. Scientific Awards: Equinor 2022 Prize (Denmark’s oldest engineering award) IEEE EMC Society Young Professional Award (2020) World’s Top 2% Highly Cited Scientist (Stanford, 2021–2025) Multiple best paper awards (IEEE, Applied Sciences, etc.) Grants & Editorial Roles: Recipient of grants from Innovation Fund Denmark (Supra-EMC project), Horizon Europe (SOLARIS), and industry partnerships. Serves as Area Editor for IEEE Transactions on Transportation Electrification , Associate Editor for IEEE Transactions on Power Electronics , and Editor-in-Chief of Circuit World Journal (2020–2025). Labs & Standards: Coordinator of the EMC Laboratory at Aalborg University. Member of IEC standardization Working Groups 6 and 8 (TC77A), focusing on EMC strategies for power grids.
Andrew McArthur is a Professor in the Department of Biochemistry & Biomedical Sciences at McMaster University, where he leads the McArthur Laboratory. His research focuses on bioinformatics , genomics , and computational biology with a specialization in genomic surveillance of antimicrobial resistance (AMR) . He spearheads the Comprehensive Antibiotic Resistance Database (CARD) and collaborates with the Canadian Anti-Infective Innovation Network (CAIN) , GenEpio Consortium , and IRIDA Platform for pathogen genomics. Education : PhD in Biochemistry (University of Victoria, 1996), Postdoctoral work at Marine Biological Laboratory (1998-1999) and National Museum of Natural History (1996-1998) His research spans antimicrobial resistance surveillance , machine learning applications , viral genomics (including SARS-CoV-2), and pathogen evolution . He has developed tools like CARD and IRIDA to standardize AMR data and enable rapid infectious disease analysis. Recent work includes machine learning models for predicting AMR, cloud-based pathogen detection , and resistome profiling in clinical and environmental contexts. He has mentored graduate students including Jalees Nasir (HSGSA Impact Award 2025), Dirk Hackenberger , Autumn Arnold , and Emily Bordeleau , as well as postdoctoral fellows like Sheridan Baker . His teaching includes courses in practical bioinformatics and biomedical consulting at McMaster University.
Thomas Schanding serves as Associate Professor and Department Head in the Department of Educational and Counselling Psychology, and Special Education at the University of British Columbia's Faculty of Education. He concurrently directs the Psychological Services and Counselling Training Centre. Previously, he held significant roles including core faculty in Special Education and Associate Director of Outreach and Leadership for the decade-long LoneStar LEND program at the University of Texas Health Science Center at Houston, alongside clinical supervision positions at Baylor College of Medicine/Texas Children’s Hospital. His educational foundation includes doctoral coursework at the University of Southern Mississippi (APA-accredited) and doctoral internship with Cypress-Fairbanks Independent School District (APA-accredited). Doctoral Coursework: University of Southern Mississippi Doctoral Internship: Cypress-Fairbanks Independent School District Dr. Schanding's research centers on social-emotional learning (SEL) and behavioral/mental health (B/MH) through three interconnected pillars: (1) assessment methodologies for SEL/B/MH, (2) evidence-based interventions to enhance youth well-being, and (3) cultural-linguistic considerations in school-community contexts. His clinical expertise spans Autism Spectrum Disorders and 2SLGBTQIA+ youth experiences, operating within Cognitive-Behavioral and Ecological theoretical frameworks. The SMART Lab ( https://blogs.ubc.ca/smartlab ) drives his applied research agenda focusing on inclusive practices and mental health promotion. Analysis of his recent publications reveals consistent emphasis on SEL assessment tools, helicopter parenting dynamics, and diversity-inclusive frameworks in school psychology. Key trends include validation studies of early literacy screeners, exploration of LGBTQ+ mental health predictors, and critical examinations of equity in educational literature, reflecting his commitment to evidence-based social justice. His scholarly contributions have been recognized through: President’s Distinguished Faculty Research Award, University of Houston – Clear Lake (2020) Group Teaching Excellence Award, University of Houston (2011) Early Career Scholar, Society for the Study of School Psychology (2009) As an educator, Dr. Schanding has supervised numerous practicum and intern students across settings including school districts and hospital systems. His leadership extends to directing the Psychological Services and Counselling Training Centre at UBC and previously leading outreach initiatives for neurodevelopmental disabilities through the LEND program. His teaching portfolio includes EPSE 506 (Applied Psychopathology), EPSE 555 (Academic & Social-Emotional Assessment), and specialized courses on Autism Spectrum Disorders. The SMART Lab (Social, Mental health, and Academic Research Team) operates as his primary research vehicle, conducting community-engaged projects on SEL implementation, mental health screening, and culturally responsive interventions for diverse youth populations, with particular attention to inclusive practices for 2SLGBTQIA+ students.
Ram Samudrala is a Professor and Chief of the Division of Bioinformatics at the University at Buffalo Jacobs School of Medicine and Biomedical Sciences . His research focuses on multiscale computational biology , integrating protein structure prediction , drug discovery , and translational science to address medical challenges. He leads the development of the CANDO platform for therapeutic drug discovery and co-directs the Informatics Core at the Clinical and Translational Sciences Institute. PhD in Computational Biology (University of Maryland, 1997) BA in Computing Science and Genetics (Ohio Wesleyan University, 1993) Postdoctoral Fellowship in Protein Folding (Stanford University, 1997-2001) His work spans structural biology , genomics , and computational drug design , with applications in dentistry , infectious diseases , and cancer . He has received prestigious awards including the NIH Director's Pioneer Award (2010) and multiple Wiki Science Prizes . Samudrala's group collaborates globally, emphasizing in silico methods followed by in vitro and in vivo validation. Key grants include $1.22M NIH NCATS ASPIRE Reduction-to-Practice Award and $4.5M NIH/NLM BRIGHT Training Grant . 2023 Finalist, Clinical and Translational Sciences Institute Clinical Research Achievement Awards 2016 MacArthur Foundation 100&Change Top 50 2008 Alberta Heritage Foundation Visiting Scientist Award 2005 NSF CAREER Award He directs the BRIGHT Short-Term Training Program and serves on multiple editorial boards and review panels. Samudrala's group maintains a Protinfo web server for structural predictions and the Bioverse framework for systems-level analyses.
