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Colin PorlezzaView profile

Associate Professor

University of Italian SwitzerlandSwitzerland

Colin Porlezza is Associate Professor of Digital Journalism and Director of the Institute of Media and Journalism (IMeG) at the Università della Svizzera italiana (USI), Faculty of Communication, Culture and Society. He also leads the European Journalism Observatory (EJO) and holds an Honorary Senior Research Fellow position at City, University of London. Previously, he was a Research Fellow at Columbia University’s Tow Center for Digital Journalism. PhD in Communication Sciences – Università della Svizzera italiana Licentiate (BA/MA) in Communication Sciences – USI, specialization in Mass Communication and New Media Work experience at University of Zurich and University of Neuchâtel His research centers on digital journalism, with emphasis on automated journalism, artificial intelligence, datafication, disinformation, and journalistic ethics. He investigates how digital technologies reshape journalistic roles, norms, and practices, particularly in public service and hybrid news environments. His work bridges technical innovation with ethical and societal implications. The 15 most recent articles highlight a consistent trajectory in AI and journalism, focusing on automation, accountability, verification tools, and innovation. Keywords span communication, AI, ethics, and media policy, while subfields include algorithmic transparency, hybrid workflows, fact-checking, and value-sensitive design—reflecting a strong interdisciplinary focus on responsible technological integration in newsrooms. Knight News Innovation Fellowship Prof. Porlezza has secured major research grants from the Swiss National Science Foundation, Horizon 2020, Google Digital News Initiative, and OFCOM. He leads the JoIn-DemoS and Diacomet projects and previously directed Designing Hybrid Journalism and DMINR. He advises PhD students as Director of the PhD Program and collaborates with media organizations like SRG SSR and Tamedia. His advisory roles include the Austrian National Journalists' Study and Innovamedia network. He leads the Institute of Media and Journalism (IMeG) and the European Journalism Observatory (EJO), fostering collaborative research across Europe. These units serve as hubs for innovation, policy dialogue, and knowledge transfer between academia and professional journalism.

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Markus StockerView profile

Researcher

German National Library of Science and TechnologyGermany

Markus Stocker is a researcher leading the Knowledge Infrastructures Lab at TIB - Leibniz Information Centre for Science and Technology. He holds a PhD in Environmental Informatics from the University of Eastern Finland, an MSc in Environmental Sciences from the same university, and an MSc in Computer Science from the University of Zurich. His work focuses on research infrastructures, knowledge synthesis, and FAIR data principles, with a strong emphasis on environmental and earth sciences. He collaborates with major European infrastructures like ACTRIS, ICOS, and NEON. His research interests include neurosymbolic systems, digital scholarship, and the integration of research data across disciplines. Prior roles include a postdoc at PANGAEA (University of Bremen) and positions at Hewlett Packard Labs and Clark & Parsia. He actively contributes to the Research Data Alliance, co-chairing the WG Persistent Identification of Instruments. Markus has pioneered projects like the Open Research Knowledge Graph (ORKG) and the sciqa benchmark for scientific question answering. His work emphasizes interoperability, automation, and community-driven knowledge curation, addressing challenges in data management and scholarly communication.

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Michael Alexander RieglerView profile

Professor

Oslo Metropolitan UniversityNorway

Michael Alexander Riegler is a full-time Professor at Oslo Metropolitan University's Faculty of Social Sciences, specifically in the Department of Social Work, Child Welfare and Social Policy. While his formal academic affiliation focuses on social sciences, his research interests span interdisciplinary domains including computer technology, information and communication systems, medical technology, and mathematics/natural sciences. Current research projects: Strengthening solidarity for democratic unity across border (SOLIDEM) addressing trust erosion in European welfare states, and Artificial intelligence in assisted reproduction technology improving embryo/sperm selection Recent publications (2025) focus on AI applications in healthcare (wearable sensors, ECG reconstruction), anomaly detection in time-series data, multimodal healthcare data analysis, and psychiatric motor activity datasets

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Alessandra CavarraView profile

Lecturer

University of OxfordUnited Kingdom

Alessandra Cavarra is a University Lecturer in Software Engineering at the University of Oxford, holding roles as Director of Graduate Studies for Professional Programmes and Supernumerary Fellow at Kellogg College. She earned her MSc and PhD in Computer Science from the University of Catania (Italy), with research periods at U.S. and German institutions. Her research focuses on formal methods, UML behavioral diagrams, model-based testing, and integrating formal/semi-formal languages. She teaches postgraduate courses in Object-Oriented Design and Software Testing. Research interests include formal semantics for UML diagrams, tool development for symbolic execution and test case generation, and abstract state machines (ASMs). Her work bridges software engineering theory and practice, emphasizing rigorous methods for system validation. Publications span model-based testing, UML formalization, and concurrency analysis. Key areas include data-flow approaches for multi-agent systems, workflow testing, and formal verification of software models. Recent work addresses challenges in concurrent workflows and abstract state machine analysis. No scientific awards were explicitly mentioned. She has advised at least one student, Aadya Shukla, and contributes to academic service roles. No lab or team affiliations are detailed in the provided information.

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Jennie RogersView profile

Associate Professor

Northwestern UniversityUnited States

Jennie Rogers is an Associate Professor of Computer Science at Northwestern University's McCormick School of Engineering. She holds a Ph.D. and MS from Brown University and a BS from Rensselaer Polytechnic Institute. Her research focuses on trustworthy database systems, secure data sharing, privacy-preserving analytics, and federated query processing. She leads projects like VaultDB (a private data federation system) and BigDAWG (a polystore system for heterogeneous data models). Recipient of the NSF CAREER Award (2019) Adjunct at the Center for Native American and Indigenous Research (2020–2023) Education: Ph.D. in Computer Science, Brown University (2013) MS in Computer Science, Brown University (2006) BS in Computer Science, Rensselaer Polytechnic Institute (2003) Research Interests: Secure multi-party computation for private data federations Privacy-preserving query optimization Polystore systems for heterogeneous data models Applications in healthcare and scientific data integration Selected Awards: NSF CAREER Award (2019) SIGMOD Distinguished Service Award (2021) Advising & Grants: Advised over 30 students (PhD, MS, undergrad) Recipient of DARPA, AFRL, and NSF grants totaling $2.5M+ Labs/Teams: Lead the VaultDB and BigDAWG research initiatives, collaborating with institutions like Feinberg School of Medicine and Intel.

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Tobias BlankeView profile

Professor

University of AmsterdamNetherlands

Professor Tobias Blanke is a leading scholar at the University of Amsterdam and the Institute for Logic, Language, and Computation , with additional affiliation as Visiting Professor of Social and Cultural Informatics at King’s College London. His work bridges artificial intelligence and humanities disciplines. PhD in Computer Science and Political Philosophy Director of DARIAH (2012–2016) Head of Digital Humanities Department at KCL (2016–2019) Blanke’s research focuses on artificial intelligence and big data applications within the human sciences, emphasizing ethical implications such as: Predictive policing systems Algorithmic othering Platform monopolization Computational genealogy XML retrieval frameworks His recent publications demonstrate increasing interdisciplinary collaboration in digital humanities , with key partnerships at the Open Data Institute , TacticalTech , and British Library . While no formal awards are listed in available materials, his leadership in infrastructural projects like the European Holocaust Research Infrastructure highlights significant contributions to the field. Blanke maintains active teaching and research roles, leading initiatives like the International Artificial Intelligence PhD Academy courses for social sciences. His technical expertise spans: XML retrieval systems NoSQL database applications Algorithmic governmentality Digital publishing frameworks

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Abhinav BhateleView profile

Associate Professor

University of Maryland, College ParkUnited States

Abhinav Bhatele is an Associate Professor in the Department of Computer Science at the University of Maryland, College Park, and directs the Parallel Software and Systems Group. He holds affiliate roles in the AIM Institute and AMSC Program. His research focuses on high-performance computing, systems, networking, and AI, particularly in parallel computing, distributed AI, and machine learning applications. He has contributed to frameworks like AxoNN and Hatchet, and his work spans performance modeling, network simulation, and scalable deep learning. Education: Ph.D. (2010), M.S. (2007), and B.Tech. (2005) in Computer Science from the University of Illinois at Urbana-Champaign and IIT Kanpur, respectively. Prior to UMD, he was at Lawrence Livermore National Laboratory (2011–2019). Research interests include parallel systems, network design, performance analysis tools, and applying machine learning to optimize HPC workflows. He has received notable awards, including the IEEE TCSC Award (2023), NSF CAREER (2021), and UIUC Early Career Alumni Award (2024). Key achievements include developing open-source tools like Hatchet and AxoNN, optimizing large-scale LLM training, and advancing GPU-based supercomputing. He advises over 10 students and has secured grants totaling millions, focusing on HPC software ecosystems and AI integration. Professional service includes roles at SC, ISC conferences, and editorial work for IEEE TPDS. His lab collaborates on projects like the Exascale Computing Project and DOE INCITE allocations.

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Ahmed AbdelatyView profile

Assistant Professor

University of WyomingUnited States

Ahmed Abdelaty is an Assistant Professor of Civil and Architectural Engineering at the University of Wyoming's College of Engineering and Physical Sciences. His research focuses on infrastructure asset management, data analytics in construction management, and digital project delivery. He holds a Ph.D. from Iowa State University and M.S./B.S. degrees from Cairo University. Abdelaty's work integrates emerging technologies like BIM, UAVs, and machine learning into construction safety and efficiency solutions. Education: B.S. Construction Engineering and Management, Cairo University (2010) M.S. Civil Engineering, Cairo University (2013) Ph.D. Civil Engineering (Construction), Iowa State University (2017) Research Interests: Abdelaty explores innovative approaches to preconstruction services, pavement management systems, and data-driven decision-making in construction. His work emphasizes practical frameworks for local agencies, including dynamic pavement treatment evaluation and enhanced life cycle cost analysis. Recent studies involve 3D photogrammetry for safety training and UAV-based infrastructure assessment. Publications: His recent articles address UAV limitations, BIM integration with game engines, and deep learning for energy consumption prediction. Themes include digital transformation in construction, risk mitigation, and regulatory challenges in emerging technologies. Advising & Grants: While specific student advisees are not listed, his research aligns with funded studies on project scheduling, adverse weather modeling, and social media analytics in construction. No awards are explicitly noted in the provided materials. Labs/Teams: Abdelaty collaborates on projects involving the University of Wyoming's Civil Engineering department and external partners like Iowa State University, focusing on data-driven construction solutions.

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Sven BittenbinderView profile

Researcher

University of SiegenGermany

Sven Bittenbinder is a Researcher at the University of Siegen , affiliated with the Faculty III (Information Systems and New Media). He contributes to the Department of Information Systems and is a core member of the IT for Ageing Society research group. Education: Diploma in Business Informatics (Wirtschaftsinformatik) from the University of Siegen (2003–2009), with specializations in Data Warehousing, IT Project Management, and System Integration. Research Focus: Bittenbinder specializes in Digital Accessibility , Inclusive Design , and Socio-Technical Systems . His work bridges Human-Computer Interaction and Disability Studies , addressing barriers in workplace accessibility, social service access, and international research collaboration. Recent projects include WERTE.IT (establishing inclusive IT practices) and iDESkmu (accessibility in SMEs). Article Trends: His publications since 2025 emphasize language barriers in citizen science , accessible recruitment/onboarding , and safe spaces for inclusion . Collaborative themes include socio-technical workplace adaptations , community-based participatory methods , and policy-driven accessibility . Projects & Labs: He works in PRAXLABS and Fab Lab Siegen , contributing to initiatives like FUSION , Mittelstand-Digital Zentrum Ländliche Regionen , and WERTE.IT . His focus is on creating inclusive digital infrastructures through participatory research.

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Ananth V. IyerView profile

Professor

State University of New York at BuffaloUnited States

Ananth V. Iyer is the Dean Professor of Operations Management and Strategy at the School of Management, University at Buffalo. He holds a PhD and MBA from the University of Florida, along with a BFA from the North Carolina School of the Arts. His research focuses on emergency response logistics, sustainable supply chain systems, and digital education distribution. He has pioneered models for contingency management, supply chain vulnerability analysis, and innovative educational technologies. Key professional contributions include developing frameworks for emergency resource allocation, evaluating recycled content claims in manufacturing, and optimizing winter operations logistics. His work frequently intersects with public policy, as seen in studies on freight infrastructure planning and INDOT project impacts. Education: PhD & MBA (University of Florida), BFA (North Carolina School of the Arts) Affiliations: Decision Sciences Institute, American Production and Inventory Control Society Labs/Teams: Academic Director of Digital Access Education Program, member of Extreme Events Research Area & Geohazards Studies Center His publications span prestigious journals like Journal of Operations Management and European Journal of Operational Research , with a focus on practical applications in public safety and industry. Awards include SUNY’s Chancellor’s Award and multiple Decision Sciences Institute recognitions.

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Niels van BerkelView profile

Professor

Aalborg UniversityDenmark

Niels van Berkel is a Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing and AI for societal benefit, with key projects including the HERD initiative on human-robot collaboration and initiatives to enhance mental health through digital tools. He leads multiple research projects involving AI ethics, healthcare applications, and swarm robotics. His educational background includes a Ph.D. in Computer Science. Research interests span AI explainability, human-AI interaction design, and the ethical implications of AI systems in healthcare and daily life. He has supervised 1 doctoral student and contributed to over 169 research outputs across journals, conferences, and datasets. Notable contributions include work on chatbot-driven data collection, coordination in AI development teams, and swarm robotics for search & rescue. His project 'AI for the People' emphasizes technology's role in improving societal wellbeing, while collaborations with medical professionals address chronic pain management and telehealth innovations. He received the DIS 2024 Honourable Mention and has actively engaged with media to communicate research impacts, including discussions on AI ethics and robot swarms. His work bridges technical innovation with human-centric design principles, addressing challenges in explainable AI, moral agency perceptions, and sustainable urban mobility solutions.

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Trevor CickovskiView profile

Assistant Professor

Florida International UniversityUnited States

Trevor Cickovski is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences, with a focus on bioinformatics and computational biology. Holding Graduate Faculty status, he specializes in microbiome analysis, GPU computing, network analysis, and Unix systems. His academic journey began with a Ph.D. in Computer Science and Engineering from the University of Notre Dame (2008). Current roles: Associate Director, Assistant Teaching Professor Research affiliations: Bioinformatics Research Group (BioRG), ACM, IEEE Dr. Cickovski's research spans microbiome analysis, software engineering, and GPU-accelerated computing. His work explores the microbiome's role in neuropsychiatric disorders (ADHD), genetic conditions (A1AD), respiratory diseases (COPD), and environmental phenomena (red tides) through multi-omics integration. His publications in Journal of Medical Microbiology , Bioinformatics , and IEEE/ACM TCBB reflect strengths in plugin-based software frameworks (PluMA), network analysis, and computational pipeline optimization. Awards include multiple teaching excellence honors and industry funding from NVIDIA. 2020 Graduate Faculty Status 2019 FIU CAT Fellow 2019 FIU Faculty Teaching Award 2017 Teaching Excellence Award 2014 Promotion to Associate Professor As lead developer of PluMA, he enables cross-language plugin development for bioinformatics workflows. Funded by NIJ and NSF, his projects apply machine learning to epigenetics and computational approaches to vaccine discovery.

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Varadraj GurupurView profile

Associate Professor

University of Central FloridaUnited States

Varadraj Gurupur is an Associate Professor at the University of Central Florida (UCF) in the School of Global Health Management and Informatics. He holds a Ph.D. and has over 15 years of teaching experience across two countries. His research focuses on software engineering decision support systems for healthcare and education, with a particular emphasis on health informatics, decision support systems, and data semantics. He has received numerous awards, including the AHIMA Triumph Award for Innovation (2021) and the Joseph M. Biedenbach Outstanding Engineering Educator Award (2023). Dr. Gurupur has authored over 100 peer-reviewed publications, including journal articles, conference papers, and book chapters. He has secured research grants and holds three patents in health information management. His work addresses challenges in electronic health records (EHRs), telehealth, and data quality, with applications in diabetes care, dental imaging, and frailty assessment in aging populations. He is active in IEEE, having chaired the Workgroup on Data Quality for EHRs and served as Chair of the IEEE Orlando Section (2021–2023). Key contributions include developing AI-driven decision support systems, improving EHR data completeness through neural network models, and advancing telemedicine frameworks. His interdisciplinary research bridges clinical needs with technological solutions, emphasizing global health equity and patient-centric care.

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Reza SalkhordehView profile

Lecturer

University of MainzGermany

Reza Salkhordeh is a Lecturer and Postdoctoral Researcher at Johannes Gutenberg University Mainz, Germany, where he leads the Efficient Computing and Storage Group. He holds a Ph.D. in Computer Engineering from Sharif University of Technology (2018) and has been affiliated with Ferdowsi University of Mashhad and Sharif University of Technology. His research focuses on operating systems, storage systems, and non-volatile memory technologies, with a particular emphasis on high-performance computing and I/O optimization. He has taught courses such as Storage Systems and Advanced Topics in Operating Systems since 2020. His academic journey includes a B.Sc. from Ferdowsi University (2011), M.Sc. and Ph.D. from Sharif University (2013, 2018). He has held roles such as Technical Lead for the High-Performance Data Storage System (HPDS) project in Tehran, Iran, and has mentored 4 M.Sc. and 6 B.Sc. students. His work spans patented technologies like Reconfigurable Cache Architectures and Load Balancers for I/O caching systems. Research interests include heterogeneous memory management, storage system design, and optimizing I/O performance in distributed environments. His recent publications address challenges in NVMM utilization, garbage collection in SSDs, and I/O tracing for HPC systems. He is actively involved in conference committees (e.g., FAST, ARCS, SC) and has reviewed for top journals like IEEE TPDS and ACM Transactions on Storage. Notable recognitions include membership in Iran’s National Elites Foundation (2012–2015) and top rankings in national exams (3rd in PhD, 35th in MSc). His contributions to storage systems have advanced enterprise-grade architectures and decentralized file systems, with a focus on practical implementations for modern computing challenges.

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Nathan C. HulseView profile

Adjunct Professor

University of UtahUnited States

Nathan C. Hulse, PhD, is an Adjunct Professor at the University of Utah's Department of Biomedical Informatics and Director of Clinical Knowledge Management at Intermountain Healthcare. He specializes in biomedical informatics, focusing on clinical decision support systems, family health history tools, and health information standards development. Education: PhD in Medical Informatics (University of Utah), BS in Computer Science (University of Utah) His research explores: Knowledge management strategies for EHR systems Consumer-facing health informatics tools for risk assessment Integration of genetic data into clinical workflows Standards-based interoperability (HL7, FHIR) Personalized health education delivery Analytics for clinical guideline adherence His publications emphasize: Electronic health record optimization Infobutton systems for point-of-care education XML-based clinical knowledge modeling Peer feedback mechanisms in medical knowledge bases Federated data sharing environments Visual analytics for clinical practice guidelines

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