جست‌وجوی استاد و پژوهشگر

• Circular Economy
• Sustainability Assessments
• Material Flow Analysis
• +۵ مورد دیگر

Karel Van Acker is a full professor in the Faculty of Engineering Science at KU Leuven , leading the Sustainable Materials Processing and Recycling (SeMPeR) research group. His work focuses on integrating environmental and economic sustainability assessments, particularly for metallurgical residues and circular economy systems. Head of SeMPeR group Contact person for SeMPeR at Arenberg campus Head of Subdivision 39, Brussels Campus Research areas include: Circular Economy: Monitoring systems, stock-flow models, and business models Sustainability Assessments: Life Cycle Assessment (LCA), techno-economic analysis, carbon footprinting Resource Valorization: Steel slag mineral carbonation, rare earth reduction, biorefinery processes Key article trends: 2025 works emphasize steel slag carbonation for carbon capture, hydrogen storage technologies, and clothing sufficiency as circular economy strategies 2024 research explores car mobility circularity , AI environmental impacts , and policy integration for circular economy monitors Earlier works (2023-2020) address textile recycling , biomass to biofuels , and landfill mining using system dynamics Teaching responsibilities: Sustainable Materials Management (H00R6A) Environmental Impact Analysis (I0V86A) Material Selection & Sustainability (D0X32A) Global Challenges for Sustainable Society (H0O00A)

Ralf Zimmerمشاهده پروفایل

استاد

• Bioinformatics
• Systems Biology
• Machine Learning
• +۵ مورد دیگر

Ralf Zimmer is a Full Professor for Practical Informatics and Bioinformatics at Ludwig Maximilian University of Munich (LMU) since 2001, affiliated with the Department of Informatics in the Faculty of Mathematica, Informatics and Statistics. He concurrently serves as Head of Section III and Head of the Research Group Network Regulation and Modeling / Machine Learning at the Leibniz Institute for Food Systems Biology at TUM (Leibniz-LSB@TUM) in Freising, Germany. His academic foundation includes a Diploma with distinction in Computer Science, Applied Mathematics and Operations Research from the University of Bonn (1981-1986), followed by a summa cum laude Doctorate in Computer Science and Applied Mathematics from CAU Kiel in 1990, where he received dual honors: the CAU Dissertation Award and Best Dissertation Award. Zimmer's research pioneers the integration of bioinformatics, systems biology, and machine learning to decode molecular food-consumer interactions. His group develops causal system models for biological networks, validated through in silico simulations and multi-omics perturbation experiments (transcriptomics/proteomics). Core methodologies include network regulation modeling, algorithmic bioinformatics, and database construction linking food compounds to biochemical networks and cellular phenotypes, with translational goals for food and biotech innovation. His 14 most recent publications (2012-2024) reveal dominant trends in multi-omics immunology and cardiovascular research, featuring computational innovations for high-throughput data analysis. Key themes include host-pathogen dynamics (viral infections), inflammatory disease mechanisms (atherosclerosis), and methodological advances in proteomics/transcriptomics, consistently bridging fundamental bioinformatics with clinical applications. Major scientific recognitions include: CAU Dissertation Award and Best Dissertation Award (1990) Director of LMU's Informatics Department (2010-2012) DFG Review Board membership for biomedical foundations (2008-2016) Leadership of the DFG Bioinformatics Munich Center (2001-2008) Academic Senate election at LMU München (2011) Zimmer directs LMU/TUM's joint B.Sc./M.Sc. bioinformatics programs since 2001 as founding architect of the DFG-funded Bioinformatics Munich initiative. His educational leadership spans spokesperson roles for international training groups (IRTG RECESS), collaborative research centers (SFB1123 Atherosclerosis), and elite programs (Data Science, Munich Center for Machine Learning). Grant stewardship includes directing the DFG Bioinformatics Munich Center and shaping national funding policy via the DFG review board. At Leibniz-LSB@TUM, his research group pioneers databases connecting food compounds to cellular phenotypes through molecular networks, collaborating with Munich universities, clinics, and biotech partners to develop high-throughput sequencing/proteomics applications for future food and health innovations.

Lee Fergusonمشاهده پروفایل

استاد

• Environmental Analytical Chemistry
• High-Resolution Mass Spectrometry
• Per- and Polyfluoroalkyl Substances (PFAS)
• +۳ مورد دیگر

Lee Ferguson is a Professor of Civil and Environmental Engineering at Duke University, with additional appointments as Associate Professor in the Division of Marine Science and Policy. His research focuses on environmental analytical chemistry, particularly using high-resolution mass spectrometry to study per- and polyfluoroalkyl substances (PFAS) , microplastics , and endocrine disruptors . Ferguson Lab develops methods for contaminant detection in water systems and investigates chemical leaching from polymers. Ph.D. in Chemistry from Stony Brook University (2002) Former Assistant Professor at University of South Carolina (2003-2009) Recent work includes PFAS analysis in lithium-ion batteries, glyphosate detection in hard waters, and microplastic dye toxicity studies. Key publications explore urban watershed contamination, Sri Lankan drinking water CKDu links, and novel analytical methods for environmental pollutants. Applied Research Fellowship (2022), Kavli Frontiers of Science Fellow (2011) Testified before U.S. Senate on nanotechnology risks Co-founder of NC PFAS Testing Network As an advisor, he mentors Doctoral Candidates Patrick Faught and Anna Lewis , who investigate microplastic dyes and polymer additives. Lab research spans environmental fate of nanomaterials, contaminant bioavailability, and exposomics for health outcomes.

Frederic Boscheمشاهده پروفایل

استاد

• Construction Informatics
• Civil Engineering
• Building Information Modeling (BIM)
• +۵ مورد دیگر

Dr. Frederic Bosche is a Reader in Construction Informatics at the University of Edinburgh's School of Engineering, leading the CyberBuild Lab. His research focuses on advancing digital construction technologies, including BIM, sensing systems, and digital twinning to enhance infrastructure management and workforce safety. Education: PhD in Civil Engineering (University of Waterloo), M.Sc. from University of Texas at Austin, and M.Eng. from Ecole Centrale de Lille. Research interests include automated construction processes, data-driven infrastructure lifecycle management, and integrating emerging technologies like AI and IoT into construction workflows. His CyberBuild Lab has pioneered projects in defect detection, roof monitoring, and smart construction inspection. Notable contributions include over 100 publications, 12 research projects (e.g., 'Digital Facility' and 'Monitoring Roofs of Traditional Buildings'), and awards such as the Charles M. Eastman Top PhD Paper Award. He actively engages in public outreach through science festivals and collaborates internationally with institutions like ETH Zurich and Heriot-Watt University.

• Organic Synthesis
• Photoredox Catalysis
• Organoboron Chemistry
• +۴ مورد دیگر

Zhe Dong is an Associate Professor (Researcher) and doctoral supervisor in the Department of Chemistry at the Southern University of Science and Technology . He obtained his B.S. from Peking University (2012), Ph.D. from the University of Chicago (2018), and conducted postdoctoral research under 2021 Nobel laureate David MacMillan at Princeton University (2018–2021). Current focus on photoredox-enabled organoboron chemistry and heterocycle functionalization Developed stereospecific coupling reactions for chiral quaternary carbon synthesis Innovated carbocation-carbanion substitution reactions and bioimaging probes His 15+ publications include Nature , JACS , and Nature Chemistry papers spanning: Photoredox-mediated deoxygenation Pd/NBE cooperative catalysis Protein hydrophobic pocket mapping Natural product total synthesis C-H bond functionalization strategies Scientific Recognition: National Scholarship for Outstanding Self-funded Students (2015) Reaxys PhD Prize Finalist (2017) University of Chicago Best Thesis Award (2018) Overseas High-level Talent Program (2020) Current funding includes Ministry of Science and Technology Key R&D Program (2021–2024) and participation in Peacock Team and Guangchuang Team research consortia.

Heather O'Brienمشاهده پروفایل

استاد

• User Engagement
• Human-Computer Interaction
• Information Retrieval
• +۴ مورد دیگر

Heather O'Brien is a Professor at the School of Information , University of British Columbia, specializing in user engagement with digital technologies , information retrieval , and knowledge exchange . Her work bridges human-computer interaction and health informatics through projects like the User Engagement Scale (UES) and the PolarUs app for bipolar disorder management. Education: MLIS and PhD from Dalhousie University Research: Focuses on engagement theory, digital health, and university-community knowledge exchange Her STOREE project (SSHRC-funded) develops frameworks for open scholarship and community-centered metadata practices. She co-developed the internationally adopted UES tool for measuring technology engagement, translated into French, German, Italian, and Portuguese . Scientific Awards: 2022 ASIS&T Research in Information Science Award 2018 ASIS&T SIG USE Best Paper Award Professor O'Brien mentors graduate students in information behavior and digital health while leading interdisciplinary collaborations with institutions like CREST.BD and BC Centre on Substance Use .

• Medical Biometry
• Epidemiology
• Cognitive Dysfunction
• +۴ مورد دیگر

Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .

Jiangwen Sunمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Medicine
• +۶ مورد دیگر

Jiangwen Sun is an Assistant Professor in the Department of Computer Science at Old Dominion University (ODU), within the College of Science. He directs the ODU Computational Systems Medicine Lab and focuses on machine learning approaches for analyzing multi-dimensional biological data (phenome, genome, transcriptome, etc.) to advance precision medicine and its automation. His research is supported by ODU and federal agencies like NIH and NSF. Education: Ph.D., University of Connecticut M.E., Nanjing University, China B.M., Secondary Military Medical University, China Research Interests: Machine learning/data mining for medicine, health, drug discovery, and bioinformatics Multi-view bi-clustering and integrative analysis of genomic/phenotypic data Phenotype refinement and genetic association studies for complex diseases Applications in addiction medicine, cardiovascular biology, and bovine development Publications: Over 40 peer-reviewed articles in top venues like NIPS, ICML, Bioinformatics, and BMC Genomics. Recent work focuses on cryo-EM protein structure analysis, single-cell multiomics, and epigenetic modeling. Awards/Grants: NIH/NSF funding pending; previously supported by UConn's Health Informatics Lab and collaborations with University of Pennsylvania. Teaching: Courses include Machine Learning (CS722/822), Data Structures (CS361), and Deep Learning in Medicine (CS795/895). Labs/Teams: Leads the ODU Computational Systems Medicine Lab and collaborates with UConn Health Informatics Lab, Penn Medicine, and others.

Cody Buntainمشاهده پروفایل

استادیار

• Crisis Informatics
• Online Political Engagement
• Information Quality
• +۳ مورد دیگر

Cody Buntain is an Assistant Professor at the College of Information Studies (iSchool) at the University of Maryland (UMD), serving as Co-Director of the Center for AI, Data, and Conflict. He is also an Affiliate Fellow at UMD's Honors College – Artificial Intelligence Cluster and a research affiliate at NYU’s Center for Social Media and Politics (CSMaP). His research focuses on crisis informatics, online political engagement, and information quality, particularly examining how AI shapes information ecosystems during crises, conflicts, and social unrest. Dr. Buntain’s work addresses disinformation, health misinformation, and AI-driven methods for emergency response. Key affiliations include the Global Elections and Information Security (GEIS) initiative and the Tech Policy Research & Education Hub. His research has been featured in major media outlets like the New York Times, Washington Post, and WIRED. Education: PhD in Information Studies from University of Maryland (2016), postdoctoral research at NYU’s SMaPP Lab (2018-2019) and UMD’s Human-Computer Interaction Lab (HCIL, 2016-2018). Previously served as Assistant Professor at NJIT’s Informatics department and Adjunct Faculty at American University. Professional experience includes Director of Research at Pikewerks Corporation (2008–2013). Current projects include E-VERIFY (HMT-ISR analysis), M3I (maps/models for influence efforts), and the Incident Streams TRECIS initiative. His GitHub repositories reflect technical contributions to crisis informatics, including tools for social media analysis during disasters.

Pedro Oliveiraمشاهده پروفایل

استاد

• Open and User Innovation
• Patient Innovation
• Social and Impact Innovation
• +۳ مورد دیگر

Pedro Oliveira is a leading academic and administrator with diverse roles across institutions. He currently serves as Dean at Nova School of Business and Economics , where he holds the Cascais Chair in Operations, Technology, and Innovation Management . Additionally, he is a Professor MSO at Copenhagen Business School , Academic Fellow at Cornell University , and Adjunct Professor at MIT Sloan School of Management . He also founded the Patient Innovation platform and co-founded PPL Crowdfunding . Education: Ph.D. in Operations, Technology, and Innovation Management (2004), University of North Carolina at Chapel Hill M.Sc. in Operations Research and Systems Engineering (2000), Instituto Superior Técnico Licenciatura in Naval Engineering (1996), Instituto Superior Técnico Research Focus: Pedro Oliveira's work centers on Open and User Innovation , Patient Innovation , and Social and Impact Innovation , with a strong emphasis on Service Operations Management and Artificial Intelligence in Innovation . His studies often bridge Technology Strategy with Healthcare and Financial Services , exploring how users can drive innovation in resource-constrained environments. Publication Trends: His recent works emphasize collaborative innovation in public and semi-public domains , patient-driven healthcare solutions , and user innovation in digital finance . He has also published extensively on knowledge commons and innovation during crises , such as the COVID-19 pandemic . Leadership and Advisory Roles: Pedro has held significant administrative roles, including Senior Associate Dean for Faculty & Research and Director of the Research Unit in Business and Economics . He has advised the Portuguese Ministry of Science, Technology, and Higher Education and served on the Environment & Sustainability Council at EDP Energias de Portugal . He is also the President of the Open and User Innovation Society and a counselor on the National Council for Science, Technology, and Innovation (CNCTI) and Economic and Social Council (CES) in Portugal. Labs and Teams: As founder of Patient Innovation , he has established a global platform for user-driven healthcare solutions. His work also includes collaborative digital health initiatives , such as the Saúde.Come Senior program addressing food insecurity in elderly populations through TV-based eHealth interventions.

Anna Croonمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Feminist Technoscience
• Gender Studies
• +۳ مورد دیگر

Anna Croon is an Associate Professor at the Department of Informatics, Umeå University, with a focus on feminist technoscience and norm-critical design. Her work bridges human-computer interaction, ethics, and gender studies. Contact: anna.croon@umu.se . Head of research group on Feminist Technoscience Head of research group on Norm Critical Design Member of the Design Informatics research group Research interests include critical design theory, ethics in technology, and feminist approaches to human-computer interaction. She explores themes like digital materiality, accountability in design, and the ontological implications of technology in everyday life. Her recent publications focus on feminist tactics for re-designing systems, ethics in responsible technologies, and the intersection of care, gender, and digitalization. Key trends involve re-framing technological progress, integrating feminist theory into HCI, and deconstructing normative design practices. Active in projects like Feminist Tactics as Means to Re-Design (2019-2025) Contributed to foundational work in feminist technoscience and critical design

• Building Permit Processes
• Digital Building Permits
• Building Information Modeling
• +۴ مورد دیگر

Judith Fauth is a researcher at the Technical University of Munich's Chair of Computing in Civil and Building Engineering, where she pioneers digital transformation in building permit processes through Building Information Modeling (BIM) and digital twin technologies. Her work bridges civil engineering, computer science, and public policy to streamline regulatory compliance across international contexts. Her research expertise spans Building Permit Processes , Digital Building Permits , Ontology Engineering , and Process Modeling , with emphasis on developing standardized frameworks for global permit system benchmarking. She investigates how semantic technologies and digital twins can automate regulatory compliance while accommodating regional variations in construction law and administrative practices. Analysis of her 2023-2025 publications reveals three dominant trends: (1) integration of digital building permits with digital building logbooks for lifecycle data management, (2) development of ontologies like OBPA for automated permit reviews, and (3) creation of taxonomies and process models (e.g., PACE-BP framework) enabling cross-national comparisons of permit systems. This work increasingly incorporates sustainability metrics and stakeholder-specific KPIs. Within TUM's research infrastructure, Dr. Fauth contributes to the BIM Lab and Digital Twinning research groups, collaborating on projects involving Gaia-X-based data frameworks and semantic modeling of the built environment. She teaches practical software development skills through the SoftwareLab course, preparing engineering students for digital construction workflows.

Rebecca Nugentمشاهده پروفایل

استاد

• Clustering Methodology
• Record Linkage
• Educational Data Mining
• +۵ مورد دیگر

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Department Head at Carnegie Mellon University. She holds a PhD in Statistics from the University of Washington (2006), an MS in Statistics from Stanford (2006), and a BA in Mathematics, Statistics, and Spanish from Rice University (2002). Her research spans clustering methodology , record linkage , educational data mining , public health , and semantic organization , with a focus on high-dimensional data and adaptive learning environments. She leads the Integrated Statistics Learning Environment (ISLE) and Corporate Capstone programs, emphasizing low-barrier data platforms for education and industry collaboration. Academic Roles : Department Head, Carnegie Mellon; Affiliated Faculty, Block Center for Technology and Society Research Grants : NSF (2017-2019), NIH (2018), Carnegie Mellon ProSEED/Simon Initiative (2020, 2018), Berkman Fund (2014) Her 15 most recent publications focus on data science pedagogy, clustering algorithms, record linkage applications in historical and medical data, educational data mining, and semantic organization studies. Awards include the ASA Waller Education Award (2015) and the William H. and Frances S. Ryan Award (2015) . She mentors a diverse group of PhD, Master's, and undergraduate students, with alumni pursuing careers in academia, industry, and sports analytics.

Lilya Budaghyanمشاهده پروفایل

استاد

• Boolean Functions
• Cryptography
• Information Security
• +۳ مورد دیگر

Lilya Budaghyan is a Professor at the Department of Informatics, University of Bergen, Norway, leading the Boolean functions research team at the Selmer Center. She holds a PhD from the University of Magdeburg (2005) and a habilitation from Paris 8 University (2013). Her research focuses on Boolean functions, particularly APN (Almost Perfect Nonlinear) functions and their cryptographic applications, with contributions to hardware implementations, equivalence relations, and cryptographic protocol design. She has authored the book *Construction and Analysis of Cryptographic Functions* and received awards including the TMS Starting Grant (2016) and Emil Artin Junior Prize (2011). Her work includes projects like the EU-funded BoolTI (2021–2025) and collaborations across institutions in Armenia, Germany, Italy, and France. Key research themes include constructing APN functions, analyzing their properties, and optimizing their hardware implementations for secure systems. Her recent publications emphasize hardware architectures for APN permutations, equivalence between cryptographic functions, and theoretical advancements in algebraic coding and finite fields. She serves as an editor for journals in cryptography and has organized international workshops such as WCC 2013.

Germaine R Halegouaمشاهده پروفایل

دانشیار

• digital media
• urban informatics
• community informatics
• +۳ مورد دیگر

Germaine R Halegoua serves as an Associate Professor in the Department of Film & Media Studies at the University of Kansas. Her academic work bridges media studies, geography, and digital culture with a particular focus on how digital technologies shape our relationship to place and space. Her research interests span digital media, urban and community informatics, and cultural geographies of digital media. Dr. Halegoua examines how individuals use digital platforms to construct identity through place-based practices, with recent work analyzing travel selfies in South Korean contexts as digital placemaking that reveals cultural values and social position. Her scholarship critically engages with how digital media practices both conform to and contest neoliberal consumerist ideologies while expressing young people's imaginations about social hierarchies and class status. Dr. Halegoua's recent publications include the monographs Smart Cities (MIT Press, 2020) and The Digital City: Media and the Social Production of Place (NYU Press, 2020), along with co-editing the anthology Locating Emerging Media (Routledge, 2016). Her current research examines travel selfies as digital placemaking practices in South Korea, analyzing how these images serve as political and performative expressions of identity. Her scholarly contributions focus on understanding how digital media transforms our experience of place, with particular attention to identity performance in networked publics. Through textual and discourse analysis, she investigates how representations of international travel become sites where social hierarchies and national imaginaries are expressed and debated.