جست‌وجوی استاد و پژوهشگر

Niamh Nic Daeidمشاهده پروفایل

استاد

• Forensic Science
• Prison Drug Analysis
• Explosives Research
• +۴ مورد دیگر

Niamh Nic Daeid is Professor of Forensic Science and Director of the Leverhulme Research Centre for Forensic Science (LRCFS) at the University of Dundee, leading the £15m Just Tech Institute for Innovation. She holds fellowships with the Royal Society of Edinburgh, Royal Society of Chemistry, and multiple forensic science bodies while serving on committees for INTERPOL, the International Criminal Court, and the United Nations. Her research focuses on forensic chemistry applications in prison drug analysis, explosives detection, and fire investigation. Recent work emphasizes science communication, particularly using comics to improve juror comprehension of forensic testimony. She leads major projects including Clarus (bias prevention in digital forensics) and the Smart Digital Forensic Advisor initiative. Nic Daeid's publications span forensic methodology development, from quantum dots for fingerprint detection to machine learning for footwear impression analysis. Her team's 2025 research includes prison drug studies using seized Scottish evidence and advanced cartridge case imaging techniques. European Network of Forensic Science Institutes Distinguished Forensic Scientist award (2018) Royal Society of Edinburgh Senior Medal for Public Engagement Peter Ganci Award for fire investigation services Gold Engage Watermark for Public Engagement (2019) Best Short Paper Award, International Conference on eXtended Reality (2022) She supervises 13 research students and early-career academics across forensic chemistry, digital forensics, and science communication projects. Current grants include the Leverhulme Trust's £10m LRCFS (2016-2026), UK government's Tay Cities Regional Deal funding, and Dundee City Council's VR/5G initiative. Her team maintains active collaborations with Scottish prisons, international forensic networks, and law enforcement agencies.

Zhe Zhangمشاهده پروفایل

استادیار

• Business Analytics
• Fairness and Bias in Algorithms
• Sharing Economy
• +۳ مورد دیگر

Zhe Zhang is an Assistant Professor of Innovation, Technology, and Operations at the Rady School of Management, University of California San Diego (UCSD). He holds a Ph.D. in Information Systems and Management from Carnegie Mellon University's Heinz College and dual bachelor's degrees in Economics and Statistics from Stanford University. His research focuses on the societal and spillover impacts of information technology, including fairness in algorithmic decision-making, sharing economy dynamics, and digital transformation effects. Ph.D., Carnegie Mellon University (Heinz College) B.S. in Mathematical and Computational Sciences, Stanford University B.A. in Economics (with honors), Stanford University His work spans disciplines like machine learning, applied microeconomics, and operations management. Current research includes analyzing cashierless retail technology's operational and behavioral impacts, algorithmic bias mitigation strategies, and the economic implications of Amazon Prime adoption. Key findings highlight how digital innovations reshape consumer demand, manufacturer strategies, and algorithmic fairness outcomes. Recent publications address: Bias amplification through data imputation in healthcare Strategic overfitting in data science contests Sharing economy's effect on durable goods markets He has presented at top conferences in information systems (CIST, WISE), economics (NBER), and computer science (KDD, FAccT). Awards include runner-up for the ACM SIGMIS Doctoral Dissertation Award (2019) and a POMS 2017 Supply Chain Management best paper finalist. Prior to his current role, Zhang worked as a part-time Data Creative staff member at DataKind (NYC) and was a 2016 fellow at the Data Science for Social Good Summer Fellowship (Chicago). He has also contributed to fairness methods in AI at Facebook and nonprofit research at NRDC and Union of Concerned Scientists.

Christoph Beckerمشاهده پروفایل

استاد

• Sustainable Computing
• Digital Curation
• Digital Preservation
• +۷ مورد دیگر

Christoph Becker is a Full Professor at the University of Toronto, holding joint appointments in the Faculty of Information and the School of the Environment. He leads the Just Sustainability Design lab, focusing on transforming computing to align with sustainability and social justice. His research bridges critical theory, digital curation, and software engineering, emphasizing long-term societal impacts of technology. Education: PhD in Computer Science, Vienna University of Technology (2010) MSc in Economics & Computer Science, Vienna University of Technology (2007) MS and BSc in Computer Science, Vienna University of Technology (2006/2004) Research Interests: Sustainable computing, digital preservation, ethics in technology, and participatory design. His work critically examines the politics and values embedded in technology design, with projects addressing urban sustainability and equitable systems. His 2023 book Insolvent: How to Reorient Computing for Just Sustainability won multiple awards and is a seminal text in the field. Awards: Finalist, AAP PROSE Awards 2024 (Engineering and Technology) Best Paper Award, 6th International Conference on ICT for Sustainability (2019) Emerald Literati Network Award (2016) Connaught New Research Award (2015-2016) Grants & Leadership: Director of the Digital Curation Institute (2014-2024), funded by NSERC, CFI, and Ontario Research Fund. Supervises multiple PhD/Master’s students, including Eshta Bhardwaj and Han Qiao. Active in organizing workshops on ethics, requirements engineering, and sustainability. Labs & Initiatives: Leads the Just Sustainability Design lab, advocating for computing practices that prioritize environmental and social equity. Collaborates with global organizations on digital preservation tools and policies.

Orfeu M. Buxtonمشاهده پروفایل

استاد

• Sleep Health
• Chronic Sleep Deficiency
• Biobehavioral Health
• +۷ مورد دیگر

Orfeu M. Buxton is a Professor of Biobehavioral Health at Pennsylvania State University's College of Health and Human Development. He serves as Associate Director of both the Penn State Clinical and Translational Science Institute and the Penn State Social Science Research Institute. Dr. Buxton directs the Sleep, Health & Society Collaboratory and serves as Editor in Chief of Sleep Health (2019-2025). His academic journey includes positions at Harvard University, where he held appointments at the Harvard Chan School of Public Health and Harvard Medical School's Division of Sleep Medicine. Dr. Buxton's research focuses on the causes of chronic sleep deficiency in workplace, home, and societal contexts, along with their health consequences and underlying physiological and social mechanisms. His work spans multiple research areas including sleep health in biopsychosocial frameworks, biomarkers of health and wellbeing (including digital biomarkers), acoustic disruption and enhancement of sleep, and successful aging across the life course. He leads interdisciplinary studies examining sleep health in free-ranging humans of all ages, with current projects including the Child and Family Well-Being Study and the Einstein Aging Study. His most recent publications demonstrate expertise in sleep health across the lifespan, examining connections between sleep patterns and outcomes ranging from cognitive decline in older adults to academic functioning in adolescents. His research employs diverse methodologies including actigraphy, biomarker analysis, and large-scale epidemiological studies. Dr. Buxton's work has particular emphasis on sleep disparities across different demographic groups and the social determinants of sleep health. 2025 Pattishall Outstanding Research Achievement Award Editor in Chief, Sleep Health (2019-2025) Dr. Buxton maintains an active NIH-funded research program with multiple principal investigator and co-investigator roles. His grant portfolio includes studies on sleep health and cognitive decline in older adults (R01AG062622), the Einstein Aging Study (P01AG003949), and investigations into sleep-related disparities in U.S. children's learning difficulties (R03HD104796). His work with the Work, Family, and Health Network has examined how workplace interventions affect sleep and health outcomes. As director of the Sleep, Health & Society Collaboratory, Dr. Buxton leads a multidisciplinary team examining the complex relationships between sleep, health, and societal factors. His research has been featured in major media outlets including the New York Times, Wall Street Journal, and NBC Nightly News, particularly regarding workplace sleep health and the impact of noise on sleep quality.

• Digital Holography
• Laser Engineering
• Marine Technology
• +۶ مورد دیگر

Dr. Thangavel Thevar is a Senior Lecturer in the School of Engineering at the University of Aberdeen, where he has been teaching since 2005. He completed both his undergraduate degree (First Class Honours in Electrical Engineering) and PhD (in Laser Engineering) at the University of Aberdeen in 1989 and 1993 respectively. Prior to his academic career, he accumulated approximately 10 years of industrial R&D experience in the USA, working on solid-state laser development and holographic applications. Dr. Thevar's research focuses on several key areas: Digital holography for imaging of marine plankton and micro-particles Laser Induced Breakdown Spectroscopy (LIBS) for subsea applications Laser-based instrumentation development Development of solid-state lasers for scientific, industrial, and medical applications Engineering applications of holography His most notable recent achievement is leading a team that developed the weeHoloCam, a state-of-the-art ultracompact underwater holographic camera for imaging microorganisms. Weighing just 3.5 kg, this system is the lightest and most compact of its kind, capable of imaging 240 ml/s and continuously recording up to 200,000 holograms. The system incorporates a rapid hologram processor and an AI-based image classifier. This technology has significant applications in marine studies including spatial and temporal monitoring of plankton species, monitoring harmful plankton & micro-jellyfish, study of vertical transport of floc, and monitoring microplastic pollution in the ocean. Dr. Thevar has secured numerous research grants as Principal Investigator, including projects funded by Sustainable Aquaculture Innovation Centre (SAIC), BBSRC, DEFRA, and Defence & Security Accelerator (DSTL). His current research portfolio demonstrates strong interdisciplinary connections between optical engineering, marine science, and environmental monitoring. His scientific contributions include: Royal Academy of Engineering Visiting Teaching Fellow Award (2010-2013) US patent 8,494,012 B2 for Raman converters Development of alexandrite lasers and ruby holographic lasers during his industrial R&D period Work on US government contracts for non-destructive inspection methods for military aircraft and the space shuttle Sabbatical work at NASA Langley Research Centre developing diode pumped Thulium YALO lasers As an educator, Dr. Thevar has served as Coordinator of MSc Oil & Gas Engineering (2007-2020), Undergraduate Level 1 Coordinator, and has contributed to various committees including Quality Assurance and Students' Progression. He currently teaches courses including Principles of Electronics, Electrical & Mechanical Systems, Control Systems, and supervises individual projects at both undergraduate and postgraduate levels. He is accepting PhD students interested in Engineering research. Dr. Thevar is actively involved in professional organizations, serving as Technical Programme Chair for IEEE/OES Oceans Conference 2007, on organizing committees for various conferences, as a committee member of the Instrument Science and Technology Group (Institute of Physics), and as a member of both IET and IEEE. He also serves as a reviewer for optics-based journals.

Lena Mamykinaمشاهده پروفایل

دانشیار

• Biomedical Informatics
• Human-Computer Interaction
• Ubiquitous and Pervasive Computing
• +۵ مورد دیگر

Lena Mamykina is an Associate Professor of Biomedical Informatics at Columbia University's Vagelos College of Physicians and Surgeons. As a member of the Data, Media and Society Committee and Health Analytics Co-Chair, she develops technologies to empower individuals and communities in health management. Georgia Institute of Technology: M.S. and Ph.D. in Human-Computer Interaction and Human-Centered Computing Columbia University: M.A. in Biomedical Informatics Ukrainian State University of Maritime Technology: B.S. in Computer Science Her research in the Action Research for Collective Health (ARCH) group focuses on: Biomedical Informatics and Human-Computer Interaction Ubiquitous/Pervasive Computing for health monitoring Computer-Supported Collaborative Work in clinical teams Personalized health coaching systems using AI Recent publications highlight trends in: AI-driven diabetes management and glucose forecasting Context-aware mobile health applications Conversational agents for behavioral interventions Data assimilation techniques with sparse patient data Equity-focused health informatics design Human-AI collaboration in clinical settings

Christy F. Landesمشاهده پروفایل

استاد

• Physical Chemistry
• Analytical Chemistry
• Materials Chemistry
• +۵ مورد دیگر

Christy F. Landes is the Jerry A. Walker Endowed Chair in Chemistry and Professor of Chemistry at the University of Illinois Urbana-Champaign, with additional appointments as Professor in Electrical and Computer Engineering and Materials Research Lab, and as an Affiliate in Chemical and Biomolecular Engineering. She joined UIUC in 2023 after serving as the Kenneth S. Pitzer-Schlumberger Chair of Chemistry at Rice University. Education: B.S. in Chemistry, George Mason University (1998) Ph.D. in Chemistry, Georgia Institute of Technology (2003) Postdoctoral positions at University of Oregon and University of Texas at Austin Professor Landes' research focuses on physical, analytical and materials chemistry with emphasis on predictive separations, spectro-electrochemistry, protein dynamics at interfaces, imaging and signal processing, and single-molecule spectroscopy. Her work aims to understand complex structure-function relationships in biological processes to inspire innovation for materials design. The Landes Research Group develops new spectroscopic tools to image chemical dynamics at interfaces at the limit of a single event, creating new models to understand and predict macroscale processes like protein separation and photocatalysis. Her research spans several specific areas including predictive separations, spectro-electrochemistry, protein dynamics at interfaces, computational imaging/AI/data science, and interfacial energy and charge transfer in hybrid nanomaterials. By studying individual molecules rather than ensembles, her group can identify the chemical complexity of nanoscale interfacial dynamics and reveal underlying populations that form ensemble measurements. Scientific Awards: 2023 Fellow of the American Association for the Advancement of Science 2024 Kazuhiko Kinosita Award in Single-Molecule Biophysics 2020 Award for Special Creativity, National Science Foundation 2019 Kavli Fellow, U.S. National Academy of Sciences 2016 Early Career Award in Experimental Physical Chemistry, American Chemical Society 2011 NSF CAREER Award Professor Landes has advised numerous graduate and undergraduate students throughout her career at University of Houston, Rice University, and now at UIUC. Her research has been supported by various grants including NSF funding. Her group has developed innovative methods to break the Abbe diffraction limit, achieving spatial resolutions of just a few nanometers and time resolutions faster than traditional cameras frame times. The Landes Research Group at UIUC continues to develop new spectroscopic tools to image chemical dynamics at interfaces, with specific focus areas including predictive separations, spectro-electrochemistry, protein dynamics at interfaces, computational imaging/AI/data science, and interfacial energy and charge transfer in hybrid nanomaterials.

Gemma Catolinoمشاهده پروفایل

استادیار

• Software Engineering
• Empirical Software Engineering
• Human Factors in Software Development
• +۱۰ مورد دیگر

Gemma Catolino is an Assistant Professor at the Department of Computer Science, University of Salerno, and affiliated with the Software Engineering (SeSa) Lab. She has also served as an Assistant Professor at Tilburg University and Eindhoven University of Technology through the Jheronimus Academy of Data Science from September 2022 to December 2023, and previously as a Postdoctoral Researcher at Delft University of Technology and Tilburg/Eindhoven institutions. PhD in Computer Science, University of Salerno (2020), supervised by Prof. Filomena Ferrucci MSc in Management and Information Technology, University of Salerno (2016, magna cum laude) BSc in Computer Science, University of Molise (2014) Her research centers on empirical software engineering, focusing on both technical and social aspects affecting software development. Key areas include code smells, defect prediction, testability, changeability, and the emerging concept of “Community Smells”—social dysfunctions in developer teams. She investigates how human factors, team diversity (especially gender), and developer experience influence software quality and maintenance effort, often using mining software repositories and machine learning techniques. Her recent publications span high-impact journals and conferences such as IEEE TSE, EMSE, JSS, ICSE, and ICSME, with a strong trend toward integrating social and technical metrics for just-in-time defect prediction in mobile applications, analyzing community dynamics, and applying software quality metrics to cybersecurity contexts like dark web analysis. She has also contributed to MLOps and serverless computing. She has received several honors including a DEI research grant (2020), Best Technical Paper at BENEVOL 2019, first and second place in ACM Student Research Competitions (2018, 2017), and the Best Master Thesis award from the Italian Software Metrics Association (2017). Gemma Catolino has been actively engaged in academic service as a referee for top journals like IEEE TSE, EMSE, JSS, and IST, guest editor for special issues, and program/organizing committee member for major conferences including ICSE, MSR, SANER, and MobileSoft, where she served as Program Co-Chair in 2022. She has also contributed as a teaching assistant, lecturer, and course coordinator in machine learning and software engineering courses. She leads and contributes to research projects involving international collaborations, particularly with researchers such as Prof. Filomena Ferrucci, Prof. Andy Zaidman, Prof. Willem-Jam van den Heuvel, and Prof. Alexander Serebrenik. Her work bridges empirical software engineering with practical tool development and socio-technical analysis, positioning her at the forefront of modern software engineering research.

Floor Middelمشاهده پروفایل

استادیار

• Child Protection
• Decision-Making in Child Protection
• Bias in Decision-Making
• +۵ مورد دیگر

Floor Middel serves as an Assistant Professor in the Department of Pedagogical and Educational Sciences at the Faculty of Behavioural and Social Sciences, University of Groningen. Her academic work bridges research, teaching, and practical application in child protection systems with a focus on decision-making processes and addressing systemic biases. Dr. Middel's research interests center on understanding and improving decision-making in child protection systems through rigorous examination of how ethnicity, migration background, and gender influence child welfare investigations and outcomes. Her work employs intersectional analysis to uncover disparities in decision-making processes and examines how stereotypes might mediate these disparities. She also explores the role of digital technologies in modern social work practice and develops assessment tools to measure meaningful participation of children in protection systems. Analysis of Dr. Middel's scholarly output reveals a cohesive research trajectory focused on equity and evidence-based practice in child protection. Her publications demonstrate growing international recognition, with work spanning comparative analyses of child protection systems across Europe, investigations into decision-making ecology, and development of practical assessment tools. The research consistently addresses the UN Sustainable Development Goals related to reducing inequalities and promoting just, peaceful, and inclusive societies. Fulbright scholarship (2019) Jo Kolk travel grant (2019) NWO idea generator (2019) Travel grant for U4 Summer school 'Methods and Methodologies: Complexities and Responsibilities in Gender Research' (2018) Travel grant Swiss National Science Foundation (2018) As an educator, Dr. Middel mentors undergraduate students and teaches across multiple courses including Interview Practical, Report Practical, Statistical Models 2, and Qualitative Research Methods. She delivers guest lectures on Decision-making in Child Protection for master's students, supervises traineeships and theses in Orthopedagogy, and coordinates the international summer school 'The Future of Child and Family Welfare Policy: Looking Through Different Lenses.' Her teaching directly connects with her research expertise, providing students with evidence-based perspectives on contemporary child protection challenges.

Saman Amarasingheمشاهده پروفایل

استاد

• Programming Languages
• Compiler Design
• High-Performance Computing
• +۵ مورد دیگر

Professor Saman Amarasinghe is a faculty member in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), where he leads the Commit compiler research group at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on programming languages and compilers that maximize application performance on modern computing platforms, with a particular emphasis on high-performance domain-specific languages. Professor Amarasinghe received his bachelor's degree in electrical engineering and computer science from Cornell University in 1988, followed by master's and PhD degrees in electrical engineering from Stanford University in 1990 and 1997, respectively. He joined the MIT faculty as an assistant professor in 1997 and has since become a world leader in his field. Professor Amarasinghe's research interests span programming languages, compiler design, and high-performance computing, with a particular focus on domain-specific languages. His group has developed numerous influential languages and compilers including Halide, TACO, Simit, StreamIt, StreamJIT, PetaBricks, MILK, Cimple, and GraphIt, which deliver unprecedented performance for application domains such as image processing, stream computations, and graph analytics. He has also pioneered the application of machine learning for compiler optimizations, from Meta optimization in 2003 to the OpenTuner autotuner framework. Professor Amarasinghe's publication history reveals a consistent research trajectory toward creating specialized language and compiler solutions that address performance challenges in specific domains while hiding complexity from application developers. His recent work focuses heavily on sparse computing, tensor algebra, graph processing, and the integration of machine learning techniques into compiler technology, demonstrating his ability to identify and address emerging computational challenges. ACM Fellow (2019) As an educator, Professor Amarasinghe has developed the popular Performance Engineering of Software Systems (6.172) class with Professor Charles Leiserson and created innovative project-based courses including the Open Source Software Project Lab, the Open Source Entrepreneurship Lab, and the Bring Your Own Software Project Lab. He also serves as the faculty director of MIT Global Startup Labs, which has helped create more than 20 startups across 17 countries. His research has translated into practical applications through startups like Determina, Inc. (acquired by VMware), demonstrating the real-world impact of his academic work. Professor Amarasinghe co-led the Raw architecture project with Professor Anant Agarwal, which did pioneering work on scalable multicores. His entrepreneurial activities include founding Determina, Inc. based on computer security research from his MIT lab and co-founding Lanka Internet Services, Ltd., the first Internet Service Provider in Sri Lanka, showcasing his ability to bridge academic research with commercial applications.

Laura Kwongمشاهده پروفایل

استادیار

• Environmental Health
• Environmental Justice
• Global Health Equity
• +۷ مورد دیگر

Laura Kwong is an Assistant Professor in the Division of Environmental Health Sciences at the UC Berkeley School of Public Health, specializing in environmental justice and global health equity. Her work focuses on designing and evaluating engineering interventions to address health disparities in low-income countries, particularly regarding child/maternal health, air pollution, and infectious diseases. She employs community-based participatory research methods in Bangladesh, Uganda, Indonesia, China, and other regions. Dr. Kwong holds a PhD in Civil & Environmental Engineering from Stanford University, with prior experience as an ORISE Fellow at the U.S. EPA. Her interdisciplinary research integrates qualitative and quantitative methods, including randomized-controlled trials and sensor-based assessments. Key areas include household-level interventions to reduce environmental contamination, fecal exposure mitigation, and climate-resilient sanitation solutions. Her recent publications highlight community-driven solutions for energy access, fecal pathogen transmission pathways, and the impact of weather extremes on health. She leads the Global Environmental Health Equity Lab, emphasizing human-centered design in public health infrastructure. Dr. Kwong’s work bridges engineering and public health to advance equity in resource-poor settings, with a focus on interventions that address both health and environmental sustainability.

Arun Agrawalمشاهده پروفایل

استاد

• Environmental Politics
• Sustainable Development
• Governance
• +۱۱ مورد دیگر

Arun Agrawal is the Pulte Family Professor of Development Policy at the Keough School of Global Affairs, University of Notre Dame, where he also serves as the inaugural director of the Just Transformations to Sustainability Initiative. His work bridges political science, environmental studies, and development policy with a global reach. His research focuses on environmental politics, sustainable development, governance, and the political economy of institutional change . He explores community-based conservation, Indigenous knowledge systems, common property regimes, agrarian transformations, and sustainability governance. His interdisciplinary approach integrates qualitative fieldwork with quantitative analysis, particularly in the Global South. Agrawal’s recent publications reflect a strong trajectory in climate justice, land governance, migration and adaptation, and the use of machine learning for sustainability . His work appears in leading journals such as Science , PNAS , Nature Climate Change , and Nature Sustainability , indicating a high-impact, policy-relevant research agenda. Scientific Awards and Recognition: Fellowship from the John Simon Guggenheim Memorial Foundation Support from the MacArthur Foundation Support from the Ford Foundation Support from the Moore Foundation Agrawal has secured significant research funding from the National Science Foundation, U.S. Department of Defense (Minerva Research Initiative), UK development cooperation agency , and other global foundations. He serves on the editorial board of PNAS and other interdisciplinary journals, and he mentors students and leads large-scale sustainability research initiatives. His prior academic appointments include positions at the University of Michigan, Yale, UC Berkeley, Harvard, and McGill.

Suzanne Bartingtonمشاهده پروفایل

دانشیار بالینی

• Environmental Epidemiology
• Air Quality and Health
• Climate Change Policy
• +۳ مورد دیگر

Dr. Suzanne Bartington is a Clinical Associate Professor in Environmental Health at the University of Birmingham's Department of Applied Health Sciences, where she leads interdisciplinary research at the intersection of air quality, climate change, and public health. As the UKRI Clean Air Champion for the Midlands to North of England, she translates £42.5 million UKRI Clean Air Programme research into actionable policy tools. Her educational background includes an MBBS from UCL (2012), PhD in Infectious Disease Epidemiology from UCL Institute of Child Health (2009), MSc in Modern Epidemiology from Imperial College London (2003), and BA in Medical and Veterinary Sciences from Cambridge (2002). She is also an Honorary Consultant in Public Health. Bartington's research focuses on developing clean air solutions with public health co-benefits, specializing in environmental epidemiology, transport studies, and policy evaluation. Her current portfolio includes NERC, NIHR, and EPSRC-funded projects examining air pollution exposure, sustainable transport, and climate-health linkages across global contexts including East Africa and Mongolia. Recent publications reveal strong trends in applying low-cost sensor networks for real-time air quality monitoring, evaluating policy interventions like Low Traffic Neighborhoods and Clean Air Zones, and analyzing health impacts of biomass fuels in low-income settings. Her work increasingly integrates machine learning techniques and whole-systems approaches to address complex environmental health challenges. As a doctoral supervisor, she mentors students in air pollution exposure assessment, transport intervention evaluation, and health equity impacts. Her leadership extends to major initiatives including the West Midlands Air Quality Improvement Programme (£5M NERC grant), OxAria Study, and TRANSITION Clean Air Network. Bartington directs the University of Birmingham Institute for Global Innovation Clean Air theme, supporting cross-disciplinary collaboration on global environmental challenges. Her team includes collaborators from nine UK universities and over 20 public and commercial sector partners, focusing on translating research into tangible health and policy outcomes.

Tillman Weydeمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Signal Processing
• Data Analysis
• +۵ مورد دیگر

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

Jeroen van den Hovenمشاهده پروفایل

استاد

• Ethics of AI
• Responsible Innovation
• Value-Sensitive Design
• +۱۱ مورد دیگر

Jeroen van den Hoven is a Professor at the Faculty of Technology, Policy and Management at Delft University of Technology . He serves as Editor in Chief of Ethics and Information Technology (Springer) and Founding Chair of the CEPE conference . His affiliations include advisory roles in the EU Commissioner Reding's ICT group , grants from the Dutch Research Council , and collaborations with industry leaders like SUN, IBM, and Getronics . Research Interests Van den Hoven's work bridges ethics, artificial intelligence, and public policy . He focuses on value-sensitive design , responsible innovation , and moral philosophy applied to emerging technologies. His research addresses AI governance , privacy , and ethical frameworks for autonomous systems , with applications in healthcare, military technology, and smart cities . Scientific Contributions His recent publications explore trust in foundation models , transparency in AI , and human control over autonomous systems . Themes include epistemic dependence in healthcare AI , democratic integrity in digital eras , and ethical guidelines for military applications . Awards & Grants Recipient of multiple Dutch Research Council grants , he advocates for ethical design principles and chairs international conferences on computer ethics . His advisory roles span Dutch government commissions and EU ICT policies .