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Professor Paul Rayson is a Professor of Natural Language Processing in the School of Computing & Communications at Lancaster University, UK. He serves as Director of the UCREL (University Centre for Computer Corpus Research on Language) interdisciplinary research centre and is affiliated with multiple research institutes including Security Lancaster, the Lancaster Centre for Digital Humanities, and the Data Science Institute. Education: PhD in Computer Science, Lancaster University (2003) BSc (Hons) Computer Science and Mathematics, Lancaster University (1990) Professor Rayson's research focuses on semantic multilingual Natural Language Processing (NLP) in challenging linguistic environments with noisy language data, including historical texts, learner language, speech, email, and other computer-mediated communication. His work spans applications in dementia detection, mental health analysis, online child protection, cyber security, learner dictionaries, and text mining of biomedical literature, historical corpora, and financial narratives. He has developed semantic tagging tools like USAS (UCREL Semantic Analysis System) and Wmatrix for corpus analysis. Major Awards and Honors: FHEA (Fellow of the Higher Education Academy) MBCS (Member of the British Computer Society) Professor Rayson has supervised numerous PhD students in NLP and corpus linguistics, with eight current students and seven completed doctorates. He has led or co-investigated multiple major research projects including the £3.5m ESRC-funded Centre for Corpus Approaches to Social Science (CASS), the National Corpus of Contemporary Welsh, and projects related to mental health forums, financial narrative analysis, and cyber security. His research has been supported by ESRC, EPSRC, and other funding bodies. As Director of UCREL, he oversees research in corpus linguistics and NLP. He is also active in the Cyber Security Research Centre, Digital Health Group, and multiple Data Science Institute initiatives. His lab has developed several widely-used NLP tools including CLAWS for English POS tagging, USAS semantic analysis system, Wmatrix corpus analysis tool, and the Variant Detector (VARD) for historical texts.

• Natural Language Processing
• Corpus Linguistics
• Semantic Multilingual NLP
• +7 more

Neda Haj Hosseini is a Senior Lecturer and Associate Professor in Biomedical Engineering at Linköping University's Department of Biomedical Engineering (IMT) . She contributes to teaching courses like TBMT56 - Medical Technology and TBME08 - Biomedical Modeling and Simulation , while leading research initiatives in AI-driven cancer diagnostics and biomedical optics. Research Focus: Development of AI methods for cancer diagnostics, optical coherence tomography (OCT) applications, and fluorescence spectroscopy in surgical guidance Affiliations: Center for Medical Image Science and Visualization (CMIV) , Analytic Imaging Diagnostic Arena (AIDA) , Swedish Medical Technology Association Recent Research Trends demonstrate expertise in applying deep learning to: Pediatric brain tumor classification using multimodal imaging Optical biopsy techniques for intraoperative decision support Automated biomarker quantification in histopathology Medical imaging data integrity and algorithm validation Scientific Awards include grants from: Joanna Cocozza Foundation (2022) Swedish Childhood Cancer Foundation (2024) Academic Leadership involves mentoring students in projects such as: "Multiple Instance Attention-based Learning for Brain Tumor Classification" "Vision Transformers for Multiclass Brain Tumor Tissue Classification" "Reaction-diffusion Models for Image-driven Tumor Simulation"

• Biomedical Engineering
• Medical Imaging
• Artificial Intelligence in Healthcare
• +3 more

Natalie Johnson is an Associate Professor in Environmental and Occupational Health at the College of Veterinary Medicine, Texas A&M University. She chairs the Interdisciplinary Program in Toxicology and leads critical research on air pollution impacts on vulnerable populations. Education PhD in Toxicology, Texas A&M University College of Veterinary Medicine Postdoctoral Fellowship in Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health BS in Biology, Texas A&M University College of Science Her research focuses on inhalation toxicology , maternal exposure to pollutants , and gene-environment interactions . She directs the mobile responding to air pollution in disasters (mRAPiD van), a real-time chemical pollutant detection platform, and investigates emerging environmental chemicals in breast milk. Current projects include: Respiratory toxicology of inhaled pollutants Prenatal/pediatric air pollution exposure and immune development Development of green-engineered clays for toxin mitigation

• Environmental Toxicology
• Air Pollution Health Effects
• Developmental Biology
• +4 more

Arnav Arora is a PhD Fellow at the Department of Computer Science , University of Copenhagen (DIKU), specializing in Natural Language Processing . His work focuses on ethical AI, bias detection, and societal impacts of language models. Email: aar@di.ku.dk Location: Universitetsparken 1, 2100 København Ø Arnav's research explores fine-grained value alignment in language models, harmful content detection , and cross-cultural differences in AI responses. His work bridges technical NLP advancements with social responsibility, including dual use ethical frameworks and community value analysis . Key publication trends include: 2025: Bias mitigation through BiasGym framework 2024: Factcheck-Bench benchmark development 2023: Thorny Roses dual use analysis 2022: Cross-cultural value probing methods 2020: Multi-hop fact checking systems Arnav contributes to the Software, Data, People & Society (SDPS) section, collaborating with interdisciplinary teams on projects involving language model evaluation and societal impact mitigation . His work often addresses real-world AI deployment challenges through academic-industry partnerships.

• Natural Language Processing
• Machine Learning
• AI Ethics
• +5 more

Raul Castro Fernandez is an Assistant Professor of Computer Science at the University of Chicago, where he researches data ecology, a concept he created to study how data shapes our world and how we can shape it back. He is the faculty co-lead of the Data Science Institute's Data Ecology Research Initiative and a member of ChiData, the data systems research group at the University of Chicago. He is also co-founder and Chief Research Officer at invocate and co-runs Chicago Data Night, a forum connecting industry and academia in Chicago. Castro Fernandez's research focuses on data ecology, data discovery, data markets, and data integration. He develops both theory and systems that help people and organizations find, evaluate, and use data effectively. His work often uses techniques from data management, statistics, and machine learning. He has pioneered concepts in data market design, understanding the economics of data, and building platforms to support markets of data. His research on data ecology frames how data moves through and transforms technological, economic, and social systems—and how to design interventions to make those ecosystems more valuable, equitable, and resilient. His publications reveal a strong focus on data markets, data discovery, and LLM applications for data management. Recent work includes Pneuma (leveraging LLMs for tabular data), Solo (data discovery using natural language), and Nexus (correlation discovery for spatio-temporal data). His research spans theoretical foundations of data value to practical systems for data sharing and discovery. SIGMOD Test of Time Award (2023) NSF CAREER Award (2024) Sloan Research Fellowship (2025) Castro Fernandez has advised numerous PhD, Master's, and undergraduate students who have gone on to pursue PhDs at institutions like University of Washington and Stony Brook, joined companies like Google, Anthropic, and Citadel, or founded startups. His teaching includes courses on The Value of Data, Ethics in Data Science, and Introduction to Databases. He serves on program committees for major conferences including SIGMOD, VLDB, and CIDR, and has been recognized as a Distinguished Reviewer by multiple venues.

• Data Management
• Data Science
• Databases
• +6 more

Harpreet S. Dhillon is the W. Martin Johnson Professor of Engineering and Associate Dean for Research and Innovation at Virginia Tech's College of Engineering. He holds appointments in the Bradley Department of Electrical and Computer Engineering. His research focuses on wireless communications, stochastic geometry, machine learning, and next-generation network systems. Education: Ph.D., University of Texas at Austin (2013); M.S., Virginia Tech (2010); B.Tech., Indian Institute of Technology Guwahati (2008). Research Interests: Communication Theory, Stochastic Geometry, Machine Learning for Communication Systems, Heterogeneous Networks, IoT, and Energy Harvesting. He leads projects on vision-aided localization, LEO satellite systems, and RIS-aided networks. Key Awards: IEEE Fellow (2023), AAIA Fellow (2022), IEEE Heinrich Hertz Award (2016), and numerous early-career recognitions. His work has resulted in over 150 journal/conference publications. Advising: Supervises Ph.D. students in cutting-edge research areas like 6G localization and RIS optimization. His advisees have won awards such as the VT ECE Blackwell Award for Best Dissertation. Labs/Teams: Head of the research group focusing on communication theory and localization. Collaborates on projects funded by agencies like NSF and industry partners.

• Wireless Communications
• Communication Theory
• Stochastic Geometry
• +8 more

Soteris Demetriou is a Senior Lecturer of Computer Systems Security at Imperial College London's Department of Computing, within the Faculty of Engineering. He leads the Applications, Platforms, and Systems Security (APSS) Research Lab and directs the Academic Centre of Excellence in Cyber Security Research (ACE-CSR). His research focuses on securing mobile, IoT, and cyber-physical systems through techniques like explainable AI, reverse engineering, and trusted computing. Notable contributions include tools for privacy preservation in machine learning models, detection of LiDAR spoofing attacks, and securing Android's middleware. Education: PhD and MSc in Computer Science (University of Illinois at Urbana-Champaign), Diploma in Electrical and Computer Engineering (University of Patras). Research Interests: Mobile/IoT security, AI security, trusted computing, and vulnerability analysis. Key areas include privacy in generative models, adversarial attacks on autonomous systems, and large-scale distributed systems. Publications: Over 50 peer-reviewed papers in top venues like NDSS, CCS, and SOSP. Recent work addresses privacy in speech generation, LiDAR security for autonomous vehicles, and hyperscale serverless architectures at Meta. Awards: Distinguished Paper Award at NDSS 2018, Best Paper at SafeThings 2024, and multiple travel grants. Served on technical committees for PETS, CCS, and AutoSec. Grants & Collaborations: SPRITE+ grant for Bio-IoT security, collaboration with Meta on distributed systems, and leadership in ACE-CSR. Labs: APSS Lab focuses on systems and AI security, with interdisciplinary projects in healthcare and autonomous systems.

• Computer System Security
• Cyber-Physical Systems Security
• Machine Learning Security
• +3 more

Shion Guha is an Assistant Professor at the University of Toronto's Faculty of Information, cross-appointed to the Department of Computer Science. He directs the Human-Centered Data Science Lab and is affiliated with the Schwartz Reisman Institute for Technology and Society and the Data Sciences Institute. His research focuses on integrating technical methodologies with critical social science approaches to address algorithmic biases in public sectors like child welfare, healthcare, and policing. Key roles include coordinating the Human-Centred Data Science concentration in the Master of Information program and advising national policies on AI ethics. Education: PhD in Information Science and Statistics, Cornell University (2016) MS in Information Science, Indian Statistical Institute (2010) Bachelor of Business Administration, Jadavpur University (India) Research Interests: Human-Centered Data Science, AI ethics, public policy, healthcare systems, algorithmic accountability, and marginalized communities' interaction with technology. His work emphasizes participatory design and real-world impact, addressing high-stakes decisions in public services. Recent Trends in Articles: Focus on participatory AI design in public sectors, algorithmic harms in child welfare, and cultural biases in NLP tools. His studies explore the intersection of technical systems and societal values, advocating for equity and transparency in algorithmic decision-making. Awards: Way-Klingler Early Career Award (2019) Connaught New Researcher Award (2021) Schwartz-Reisman Institute Faculty Fellowship (2023–2025) Grants & Advising: Secured funding from NSERC, CIFAR, and others for projects like the Responsible AI for Health Systems (RAIHS) framework. Advises PhD students through cross-departmental programs and collaborates with organizations like Parkview Health and the ACLU. Current supervisees include Ramaravind Kommiya Mothilal and Seh Young Moon. Labs & Initiatives: Leads the Human-Centered Data Science Lab, contributing to interdisciplinary research on AI ethics. Active in policy advocacy, including work with the Canadian government’s AI Policymakers Expert Group and the CIFAR AI Solutions Network.

• Human-Centered Data Science
• Artificial Intelligence Ethics
• Public Policy
• +5 more

Professor Mahroo Eftekhari is a Professor in Building Services Engineering at Loughborough University, leading the Low Energy Building Services Engineering MSc programme. Her research focuses on energy-efficient building systems, thermal comfort, HVAC optimization, and renewable integration. She has pioneered control systems for airports and buildings, including MPC-based strategies to reduce energy use while enhancing occupant well-being. Notable contributions include the development of BISPA (Building & Industrial Services Pipework Academy), a national center for BIM and pipework training. Education: Holds qualifications including CEng (Chartered Engineer), DPhil (Doctor of Philosophy), FCIBSE (Fellow of Chartered Institution of Building Services Engineers), and SFHEA (Senior Fellow of the Higher Education Academy). Her academic career is marked by collaborations with Tata Steel, Mitsubishi R&D, and Vexo, yielding applied research in sustainable building technologies. Research Interests: Indoor Air Quality, Thermal Comfort Modeling, Zero Energy Buildings, Digital Twins, and Advanced Control Systems. She has developed innovative solutions like AI-driven thermal management for Building Energy Management Systems (BEMS) and interfaces to synchronize airport operations with energy systems. Awards & Grants: Secured funding from diverse bodies for projects such as adaptive thermal comfort models, BISPA infrastructure, and energy-efficient HVAC strategies. Her work emphasizes practical applications, including reducing CO₂ emissions via airport terminal optimization and improving renewable energy use in buildings. Lab & Teams: Leads the Building Energy Research Group, managing projects in closed-loop heating systems, IEQ monitoring, and hydronic system efficiency. The Civil Engineering labs house interactive BIM rigs launched with institutional and industry support.

• Building Energy Management Systems
• HVAC Systems Optimization
• Thermal Comfort Modeling
• +5 more

Professor Steven V. Ley leads the Yusuf Hamied Department of Chemistry at the University of Cambridge, focusing on transformative research in flow chemistry, organic synthesis, and green chemistry. His work emphasizes sustainable methodologies and the integration of advanced technologies like microcontrollers and automation to revolutionize chemical processes. In 2018, he received the prestigious Arthur C. Cope Award—the first UK-based recipient—recognizing groundbreaking contributions to organic chemistry. Research interests include developing continuous flow systems for hazardous reaction management, immobilized reagents, and machine-assisted synthesis. Collaborations span academia and industry, notably through spin-off company New Path Molecular , which applies cutting-edge synthesis techniques to pharmaceuticals and agrochemicals. Key publications highlight innovations in flow chemistry applications, sustainable process design, and automation. His work bridges chemistry with engineering, aiming to address global challenges in resource efficiency and environmental impact. Awards: Arthur C. Cope Award (2018) Lab/Teams: Active research group at the University of Cambridge; collaborates with New Path Molecular on commercial applications.

• Organic Chemistry
• Flow Chemistry
• Green Chemistry
• +4 more

Peter Newman, Ph.D., serves as Dean of the Rubenstein School of Environment and Natural Resources at the University of Vermont since July 1, 2024, and holds the Suzie and Allen Martin Professor title. With a career spanning decades, he has conducted extensive research on visitor management in protected areas, soundscape management, and transportation planning, partnering with the National Park Service's Natural Sounds and Night Sky Division since 2012. Education Ph.D. in Natural Resources, University of Vermont M.S. in Forest Resource Management, SUNY College of Environmental Science and Forestry B.A. in Political Science, University of Rochester His research focuses on social carrying capacity decision-making in protected area management, with fieldwork across major U.S. parks including Denali, Grand Canyon, and Great Smokies. He has developed frameworks for acoustic management and Leave No Trace efficacy, contributing to sustainable outdoor recreation practices. Scientific Awards: Cooperative Ecosystem Studies Unit National Award (2012) George Wright Society National Award for Achievement in Social Sciences (2013) Throughout his career, Newman has led high-quality teaching at Penn State's Graduate Degree Program in Acoustics and mentored numerous students through research projects on wildlife approach norms, pandemic recreation shifts, and waste management strategies in national parks. He previously served as a Park Ranger in Yosemite and Backcountry Patrol member in Idaho.

• Visitor management in protected areas
• Soundscape/acoustic management in parks
• Transportation management and planning
• +7 more

Jack Puleo is a Professor and Chair in the Department of Civil and Environmental Engineering at the University of Delaware (UD), and a core faculty member of the Center for Applied Coastal Research (CACR). He holds a Ph.D. from the University of Florida, a Master’s from Oregon State University, and a Bachelor’s from Humboldt State University. His research focuses on coastal hydrodynamics, sediment transport, and nature-based solutions for coastal resilience. He has served as Associate Chair and Director of CACR, and was a Fulbright Scholar and Visiting Professor at Plymouth University (2011-2012). Research Interests: Small-scale hydrodynamic processes and sediment transport in coastal zones Remote sensing and sensor networks for coastal monitoring Nature-based solutions for coastal protection Munitions mobility in nearshore environments Climate change impacts on coastal flooding Awards and Honors: NSF CAREER Award (2007) ASCE Teaching Awards University of Delaware Teaching Awards (twice) Chi Epsilon Advising Award ASBPA Robert G. Dean Award German DAAD Scholarship Labs and Collaborations: Core member of the Center for Applied Coastal Research (CACR), collaborating on projects such as UXO mobility studies, coastal flooding modeling, and military infrastructure resilience. Active in interdisciplinary work with the Naval Research Laboratory and joint bases like Langley-Eustis.

• Coastal Engineering
• Sediment Transport
• Hydrodynamics
• +5 more

Hayretdin Bahsi is an Assistant Professor at the School of Informatics, Computing, and Cyber Systems at Northern Arizona University . His research focuses on cybersecurity, with expertise in malware detection, IoT security, and machine learning applications in defense mechanisms. He collaborates internationally on maritime cybersecurity, healthcare systems, and critical infrastructure protection. Research Interests include Android malware analysis, botnet detection, explainable AI in intrusion detection, and threat modeling for AI-driven systems. His work addresses challenges like concept drift in malware detection and privacy-preserving techniques for IoT networks. Publications span 66 scholarly works since 2009, emphasizing cybersecurity trends in AI, IoT, and healthcare. Recent contributions explore large language model (LLM) applications in vulnerability detection and cyber threat modeling for healthcare systems. Collaborations include projects on maritime cyber-insurance, cyber incident management in low-income countries, and datasets like MedBIoT for IoT botnet analysis. His work bridges theory and practice, addressing real-world cybersecurity challenges.

• Cybersecurity
• Malware Detection
• Machine Learning
• +7 more

Gurjot Singh is a Research Fellow at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research focuses on cybersecurity in aviation systems, next-generation communication networks, and industrial IoT security. He collaborates with prominent researchers like Andrei Gurtov and Suleman Khan, contributing to projects such as SEC-AIRSPACE and Post Quantum Secure Handover Mechanisms. His work spans vulnerability assessments, secure protocol design, and post-quantum cryptography applications. Education details are not explicitly stated, but his research aligns with advanced cybersecurity and network engineering domains. Key research interests include aviation cyber risk assessment, secure data link communications, and privacy-preserving authentication mechanisms for IoT and industrial environments. Publications emphasize cybersecurity challenges in aviation, industrial networks, and IoT, with recent work addressing quantum-resistant protocols and drone remote identification security. Collaborations include contributions to conferences like NordSec and AIAA DATC. He is affiliated with the cybersecurity lab at LiU, supporting educational programs like Digital4Business, which integrates AI and cybersecurity expertise. His role in the Database and Information Techniques (ADIT) division highlights involvement in interdisciplinary research groups.

• Cybersecurity
• Aviation Network Security
• Secure Communications
• +3 more

Gerald Quon is an Associate Professor in the Department of Molecular and Cellular Biology at the University of California, Davis. He is affiliated with the Genome Center and participates in multiple graduate programs, including Integrative Genetics and Genomics, Neuroscience, Computer Science, Biostatistics, and Biomedical Engineering. Education: PhD in Computer Science from the University of Toronto (2012) MSc in Biochemistry from the University of Toronto (2006) Research Interests: Dr. Quon applies computational approaches to genetics and genomics problems, focusing on the genetics of human disease , models of cell population dynamics , and neurogenomics . His lab builds neural network models to understand how genetic variation affects disease risk through molecular and cellular phenotypes, with applications to obesity, Alzheimer’s disease, psychiatric disorders, and Rett syndrome. Recent Research Trends: Recent publications highlight work in neuroplasticity , single-cell multimodal analysis , brain evolution , morphological variation modeling , and microbiome-based classification . His team combines sequencing and imaging technologies to model cellular interactions and gene expression dynamics. Scientific Awards: NIH New Innovator Award (2021) Grants & Collaborations: He received NSF funding (2019) for computational tools in single-cell analysis and collaborates across disciplines, including neuroscience, biomedical engineering, and computational biology. His lab develops software like scProjection , siVAE , and scAlign .

• Computational Biology
• Single Cell Genomics
• Epigenomics
• +5 more