Evaggelia Pitoura is a Professor in the Department of Computer Engineering and Informatics at the University of Ioannina, Greece, and a Lead Researcher at the Archimedes Research Unit, ATHENA Research Center. Her work spans data management, distributed systems, and mobile computing, with a strong focus on database personalization and diversity. Her research interests include data diversity, contextual preferences, XML data management, peer-to-peer systems, and mobile computing . She has pioneered work in result diversification, preference-aware querying, and distributed data indexing, publishing extensively in top venues such as PVLDB, ICDE, SIGMOD, and IEEE TPDS. The recent publications highlight a consistent trend in personalized, context-aware database systems , with emphasis on improving user experience through intelligent query processing, recommendation, and efficient data organization in distributed environments. Best Paper Award, SIGMOD 1999 Best Paper Award, PVLDB 2013 She has advised several PhD students, including Georgia Koloniari, Kostas Stefanidis, Marina Drosou, and Konstantinos Semertzidis, who now hold positions in academia and industry. She teaches courses in Databases and Information Retrieval and actively contributes to the academic community through program committee roles in major conferences like ICDE, VLDB, SIGMOD, and WWW. She leads the Distributed Management of Data Group , fostering innovation in scalable and intelligent data systems.
Anya Helene Bagge is an Associate Professor in the Department of Informatics at the University of Bergen, where she is a researcher at the Bergen Language Design Laboratory. Her work focuses on programming languages and software language engineering, with strong ties to education and tool development. Research Interests: Programming language design and implementation Software language engineering Semantics of programming languages Domain-specific languages and language extensions Program transformation using Rascal, MPL, and Stratego/XT Aspect-oriented programming, especially Domain-Specific Aspect Languages Her recent publications reflect a consistent focus on software language engineering, refactoring, microservice security, and programming education. Themes across her work include language design, program analysis, and the development of educational tools and methodologies. Scientific Awards: The Realist Committee's Teaching Award 2016/17 Lecturer of the Year in Computer Science (Spring 2015) Anya Bagge actively supervises students, including PhD and Master’s candidates such as Tero Hasu, Kristoffer Haugsbakk, and Nina Andersen. She has been involved in numerous academic activities, including organizing the OOPSLE workshop and serving on program committees for conferences like SLE, HILT, and WCRE. She has also taught core courses including INF101, INF225, and INF328, demonstrating a strong commitment to both research and teaching. Labs and Teams: She is affiliated with the Bergen Language Design Laboratory , collaborating with researchers such as Magne Haveraaen, Eva Burrows, and Tero Hasu.
Lizbeth Olivia Escobedo Bravo is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, where she conducts research at the intersection of Human-Computer Interaction, Ubiquitous Computing, and Cognitive Assistive Technology. Her work focuses on developing and evaluating technology to improve the quality of life for vulnerable populations, particularly children with autism, pregnant women, and individuals with cognitive disabilities. Her educational background includes a BS and PhD from Universidad Autónoma de Baja California (UABC), an MSc from Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), and a postdoctoral fellowship in Biomedical Informatics at UC San Diego. BS – Universidad Autónoma de Baja California (UABC) PhD – Universidad Autónoma de Baja California (UABC) MSc – Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE) Postdoc – University of California, San Diego (Biomedical Informatics) Her research interests include Human-Computer Interaction (HCI), Ubiquitous Computing, Cognitive Assistive Technology (CAT), Mobile Technologies, Accessible Computing, and Children-Computer Interaction. She emphasizes interdisciplinary collaboration across computer science, psychology, education, medicine, and design. The 15 most recent articles reflect a consistent focus on assistive technologies for neurodevelopmental and cognitive challenges. Key themes include early detection of developmental delays (ActEarly), handwriting assessment (PenSando), autism support (MOBIS, MOSOCO, FarmerKeeper, SATORI), maternal health (PREGO), and ADHD assistance (SmarTasko). These works span mobile, augmented reality, and sensor-based systems, with strong emphasis on usability, accessibility, and real-world deployment across diverse cultural and economic contexts. Scientific contributions and recognitions include: Active research leadership in multiple assistive technology projects Interdisciplinary collaborations with institutions such as Georgia Tech, UC Irvine, UC San Diego, MSU, Chapman University, and CREATE-NET Industry partnerships with IMSS, Pasitos A.C., ClubLia Kinder, EdNinja Inc., and others Focus on technology for social good and inclusive design She is actively involved in mentoring and advising, currently recruiting PhD and Master’s students for her research group. Her work has been supported through academic and industry collaborations, though specific grants are not listed. She previously worked in the software industry as a project manager and COO, bringing leadership experience to her academic role. Lizbeth leads a dynamic research lab focused on developing and deploying accessible, user-centered technologies. Her team works on projects such as ActEarly, PenSando, and SATORI, often involving cross-border studies and community engagement. The lab emphasizes real-world impact, ethical design, and scalability of solutions, particularly for underserved populations in Latin America and North America.
George Vasmatzis, Ph.D., is an Associate Professor in the Department of Molecular Medicine at Mayo Clinic, Rochester, and holds a joint appointment in Cancer Biology within the Department of Quantitative Health Sciences. He serves as co-director of the Biomarker Discovery Program in the Center for Individualized Medicine, where he leads a multidisciplinary research team integrating bioinformatics, molecular biology, and computational genomics to advance cancer diagnostics and personalized treatment. Education: Ph.D. in Biomedical Engineering, Boston University M.S. in Electrical Engineering, Purdue University B.S. in Electrical Engineering, Texas Tech University Postdoctoral Research Fellowship, Laboratory of Molecular Biology, National Cancer Institute, NIH Postdoctoral Research Associate, Boston University Research Interests: Dr. Vasmatzis specializes in biomarker discovery for cancer diagnosis, focusing on large genomic alterations such as breakpoints, rearrangements, and copy-number variations. His work addresses lineage relationships in cancer progression, genomic changes distinguishing indolent from aggressive tumors, viral integration sites, and targetable genomic alterations. He employs next-generation sequencing and computational models to enable non-invasive cancer monitoring via liquid biopsy. A significant focus is on allelic dependence and phasing of mutations to understand functional impacts. Publication Trends: His recent publications reflect a strong emphasis on translational genomics, leveraging cutting-edge technologies like nanopore sequencing and 3D tumor models. Research spans oncology, bioinformatics, immunology, and nanotechnology, with applications in early detection, therapy monitoring, and precision medicine. Key journals include Genome Biology , Cancer Genetics , and Frontiers in Immunology . Scientific Awards: Innovation Accelerator Award, Mayo Clinic, 2023 Member, NCI Special Emphasis Panels (2008–2010) Participant, NCI Early Detection Research Network, 2008 Member, National Biospecimen Network Informatics Task Force, 2005–2007 Grants & Advising: Dr. Vasmatzis has served as Principal Investigator on NIH-funded projects, including the NCI-funded 'CORE--GENE DISCOVERY BIOINFORMATICS' and co-PI on the SPORE in Prostate Cancer. He mentors a research team of bioinformaticians, molecular biologists, and pathologists. While specific student names are not listed, his lab actively trains researchers in computational and molecular genomics. Laboratories & Collaborations: His lab is embedded within the Center for Individualized Medicine and collaborates extensively with Rashid Bashir, Ph.D., at the University of Illinois at Urbana-Champaign, on nanopore-based DNA detection technologies. This work has potential for stool-based early colon cancer detection. He is also involved in Mayo Clinic’s Cancer Biomedical Informatics Grid and multiple institutional research committees.
Catherine Faron is a Full Professor at Université Côte d'Azur , affiliated with the I3S laboratory and Inria center . She serves as vice-head of the Wimmics joint research team and leads the Artificial Intelligence and Data Engineering (IAID) program at Polytech Nice Sophia engineer school. Habilitation à diriger les recherches (HDR) in Computer Science, UCA (2017) PhD in Computer Science, Univ. Paris 6 (1997) Her research focuses on Artificial Intelligence , particularly in Knowledge Representation and Reasoning (KRR) and Semantic Web technologies. She develops hybrid intelligent systems combining KRR with machine learning for knowledge extraction, integration, and exploitation across education, health, and digital humanities. Recent publications highlight her work on: 2025 : Knowledge graphs for historical zoological data 2024 : Semantic annotation frameworks in agronomy 2023 : Agricultural data mapping and medical record enrichment 2022 : Visual exploration of big linked data Scientific recognitions include: 2023: Best Paper Award, ESWC 2017: Scientific Excellence Award, UCA 2016: Best Demo Award, ISWC 2015: Best Paper Award, IC 2008: Best PhD Paper Award, ECPPM She has supervised 19 PhD/Master's students and leads/has led projects like D2KAB , DEKALOG , and ZOOMATHIA , with partnerships across academic and industrial institutions.
Paula Memenga is a Research Assistant at the University of Erfurt , specifically within the Department of Journalism and Communication Research . She holds a Master’s degree in Health Communication and a Bachelor’s degree in Communication Science from the same university. Her work focuses on health communication , with particular emphasis on digital health information services , online information behavior , and media use in health contexts . Her recent publications and conference presentations explore topics such as telemedicine , genetic counseling , and physician-patient digital interaction . She is actively involved in third-party projects like DigiCare , Krebsprävention im Dialog , and OnkoRiskNET (Medical University of Hanover), focusing on improving health communication through digital tools and interdisciplinary collaboration. Memenga is a member of the International Communication Association (ICA) , European Communication Research and Education Association (ECREA) , and German Society of Mass Communication (DGPuK) . Key projects : OnkoRiskNET (telemedicine for genetic tumor risk), DigiCare (digital health literacy), Krebsprävention im Dialog (live chat for cancer prevention). Conference participation : ICA, ECREA, DGPuK, European Conference on Health Communication (ECHC), European Society of Human Genetics (ESHG), German Cancer Congress (DKK).
Wenfei Fan holds the Personal Chair in Web Data Management at the School of Informatics, University of Edinburgh . He is affiliated with the Database Group , LFCS (Laboratory for Foundations of Computer Science), Bell Labs , and the International Research Center on Big Data at Beihang University. His research spans database theory, data science, and big data systems. PhD in Computer and Information Science, University of Pennsylvania, USA MS in Computer Science, Peking University, China BS in Computer Science, Peking University, China His research interests focus on database theory and systems , including big data, data quality, data integration, database security, distributed query processing, query languages, social networks, and XML. He has pioneered techniques for graph pattern matching, data dependencies, and scalable algorithms. Recent publications emphasize graph data management , rule-based systems , and ML-data quality integration . Key themes include incremental computation, GPU-accelerated graph cleaning, entity linking, and logic-driven ML. Articles like 'Rock' and 'MiniClean' demonstrate hybrid approaches for real-world data challenges. Fellow of the Royal Academy of Engineering (FREng), 2023 Foreign Member, Chinese Academy of Sciences (ForMemCAS), 2019 Fellow of the Royal Society (FRS), 2018 ERC Advanced Fellowship, 2015 ACM Fellow (FACM), 2012 Roger Needham Award, 2008 He leads the ERC project: Resource-Bounded Graph Query Answering and contributes to systems like GRAPE and GraphScope , which parallelize sequential algorithms and process large graphs. He mentors students and collaborators globally, with a focus on data quality and graph analytics.
D. Robert Adams is a Professor at the College of Computing of Grand Valley State University . He serves as Associate Dean of Graduate Studies and Graduate Program Director for Data Science and Analytics . Based in office MAK C-2-112, he can be reached at adamsr@gvsu.edu or (616) 331-3885. Education Ph.D. in Computer Science (University of Kentucky, 1998) B.S. in Computer Science (Northern Kentucky University, 1991) His research interests focus on procedural content generation for games , digital humanities , and computer music . His scholarship bridges computational methods with creative applications, including algorithmic approaches to musical difficulty modeling and computational nutrition systems. Scientific contributions include: 2021 - NextTune: Computational music difficulty modeling 2017 - Personality analysis in computing education 2016 - Global collaboration frameworks in CS education Honors: Fulbright Scholar (2019, FH Joanneum, Austria) Glenn A. Niemeyer Award (2020, GVSU) As an academic advisor, he has guided student research projects including: 2024 - Dynamic Game Level Generation with Jeffrey Hackbarth 2024 - Secure Software Development Lifecycle with Reagan Ondiek 2021 - Cryptocurrency Gaming Applications with T. Nguyen
Hochang B. Lee is a Professor and the John Romano Professor and Chair of the Department of Psychiatry at the University of Rochester School of Medicine and Dentistry. He also serves as the Chief of Psychiatry at Strong Memorial Hospital and Regional Chief of Psychiatry for the University of Rochester Medical Center . Previously, he held roles at Yale and Johns Hopkins, including founding director of psychological medicine services and research leadership positions. Education: MD from Jefferson Medical College (1997), followed by psychiatry residency and fellowships in neuropsychiatry and psychiatric epidemiology at Johns Hopkins. Research Interests: His work focuses on innovative behavioral health service delivery for medical/surgical patients, prevention of postoperative neuropsychiatric complications in elders , and Asian American mental health disparities , particularly in dementia and depression. Scientific Awards : Lee has received numerous accolades including the Donald Oken Fellow Award (2020), Don R. Lipsitt Award (2019), and multiple visiting professorships and research institute scholarships. Article Trends : His publications span delirium prevention , geriatric psychiatry , psychosomatic medicine , and mental health service integration . Recurring themes include postoperative cognitive disorders , telemedicine applications , and cross-cultural mental health .
Dr. Erik Morawetz is affiliated with the Faculty of Digital Transformation at HTWK Leipzig, where he is listed as a contact person in the Hopper Building (Room HO 212). He is reachable via phone at +49 341 3076 8642. His doctoral title suggests an advanced academic qualification, and his placement within the faculty indicates involvement in academic or research activities related to digital transformation. The Faculty of Digital Transformation at HTWK Leipzig offers bachelor's and master's programs in Information and Communication Technology and Telecommunications Informatics, emphasizing practical integration with industry partners such as Deutsche Telekom, Siemens AG, and others. Dr. Morawetz’s role appears to be associated with this practice-integrated educational model. His research interests are inferred from the faculty’s focus areas, including digital transformation, communication technology, data science, software engineering, and digital teaching and learning. While no specific publications or projects are listed, the faculty is engaged in research initiatives such as Radio Access Networks, Internet of Things, Managing the Digital Ecosystem, and COSTNET. There is no mention of scientific awards, student supervision, or grant involvement. The absence of an explicit email address suggests communication may be routed through institutional channels. No information is available regarding part-time status, retirement, or former employment status.
Miguel Sales Dias is affiliated with ISCTE - Instituto Universitário de Lisboa, specifically the Iscte Business School. His research spans multiple domains, including Machine Learning , Immersive Technologies , and Urban Mobility . His work focuses on: Developing AI-driven systems for energy consumption optimization in public buildings Creating co-design interfaces for housing customization Exploring mHealth applications for cardiac diagnostics Advancing virtual reality for education and visitor experiences Recent publications demonstrate expertise in smart city solutions , bioinformatics , and human-computer interaction . While specific awards or educational background weren't explicitly mentioned, his extensive publication record indicates significant contributions to interdisciplinary research.
Rada Mihalcea is a Professor at the University of Michigan in the Computer Science and Engineering department. She actively promotes Natural Language Processing (NLP) applications for social good and founded the ACL Year Round Mentorship program. University: University of Michigan School: College of Engineering Department: Computer Science and Engineering Academic Rank: Professor Research Interests include: Natural Language Processing for social good applications Text Mining and Sentiment Analysis Deception Detection and Multimodal Analysis Cross-Cultural Computational Linguistics Educational Technology and Gender Studies Recent research trends focus on: Fake news detection using multimodal features Lexicon-based cross-cultural value analysis Thermal imaging for affective computing Deception detection through linguistic and physiological cues Applications in healthcare and counseling analysis Scientific Awards : Sarah Goddard Power Award (2019) Best Paper Award at CICLING (2019) Best Paper Award at SocInfo (2018) Additional Contributions : Co-authored textbooks on Text Mining and Graph-based NLP Developed FunPython tutorial for children Collaborative work with the School of Music on the Ada Lovelace Opera Active in diversity initiatives in computing
Prof. Dr. Karsten Niehaus serves as Head of the Proteome and Metabolome Research Group at the Center for Biotechnology (CeBiTec) and Faculty of Biology, University of Bielefeld. His research focuses on proteomics and metabolomics applications in plant-microbe interactions, bacterial stress responses, and disease model systems. His laboratory employs advanced mass spectrometry imaging and cell phenotyping technologies to investigate molecular responses in crops like sugar beet and grapevines under abiotic stress conditions, as well as in cancer models where differentiation therapy impacts tumor malignancy. The group also explores microbial biotechnology through Xanthomonas campestris studies on xanthan production and stress adaptation. Selected publications highlight innovations in 3D microfluidics for biomarker detection and bioinformatics platforms like MetHoS for metabolomics data analysis. His work appears in journals covering Frontiers in Plant Science , Scientific Reports , and Journal of Experimental Botany . Contact: kniehaus@cebitec.uni-bielefeld.de | Office: UHG W7-117
Alexandria Ratzki-Leewing is an Assistant Professor at the University of Maryland Institute for Health Computing, Division of Gerontology within the Department of Epidemiology and Public Health, and the Clinical and Translational Research Informatics Center (CTRIC) at the University of Maryland School of Medicine, Baltimore. She also holds an Adjunct Professor position in the Department of Epidemiology and Biostatistics at Schulich School of Medicine & Dentistry, Western University in Canada. Education: Ph.D. in Epidemiology and Biostatistics from Schulich School of Medicine & Dentistry, Western University, London, Canada M.Sc. in Health Research Methodology (Health Services Research) from McMaster University, Hamilton, Canada B.HSc. in Health Sciences from Western University, London, Canada Dr. Ratzki-Leewing's research focuses on leveraging person-reported data to capture the real-world burden of iatrogenic hypoglycemia (low blood sugar caused by diabetes treatments) in diverse adult populations. Her work spans interdisciplinary projects across more than 10 countries, with scientific contributions published in top-tier medical journals and incorporated into diabetes clinical practice guidelines including the American Diabetes Association (ADA) Standards of Care. She has developed expertise in real-world methods and data, health survey design, and person-reported outcome measures specifically related to diabetes management and hypoglycemia events. Analysis of her recent publications reveals a consistent focus on severe hypoglycemia (Level 3) in both type 1 and type 2 diabetes populations, with particular attention to older adults and the development of predictive models. Her work bridges epidemiological methods with clinical applications, emphasizing real-world data collection through innovative approaches like internet-based panel surveys. Scientific Awards: Rising Star by the International Diabetes Center (2023) Fellow of the ADA Women's Interprofessional Network Group Dr. Ratzki-Leewing has delivered over 100 research presentations across North America, Europe, and Asia, including more than 15 invited conference symposia. She serves as the Deputy Chair of the International Hypoglycaemia Study Group (IHSG) and is an invited member of the ADA Conference Planning Hypoglycemia Sub-committee. Her work has been supported through various research grants that have enabled her international collaborations across 10+ countries. Dr. Ratzki-Leewing leads research through the Clinical and Translational Research Informatics Center (CTRIC) at the University of Maryland School of Medicine, where she directs the iNPHORM study (Investigating Novel Predictions of Hypoglycemia Occurrence Using Real-world Models), a prospective 12-wave internet-based panel survey examining hypoglycemia risk in adults with diabetes.
Giulia Bernardini is an Associate Professor at the Department of Biotechnology, Chemistry and Pharmacy, University of Siena. She teaches Applied and Clinical Biochemistry in the Pharmacy program and maintains regular office hours at the Polo Scientifico San Miniato. Her research focuses on rare diseases like Alkaptonuria and Lesch-Nyhan Disease , with emphasis on biochemical pathways, proteomics, and in vitro modeling. Email: giulia.bernardini@unisi.it Phone: +39 0577 235792 Webex Virtual Room: Join Here Her recent work explores omics technologies in rare disease research, enzyme inhibition for novel therapeutics, and computational workflows targeting metabolic disorders. Publications highlight collaborations with international consortia like the DevelopAKUre project. Key research areas include: Homogentisic acid pathophysiology in Alkaptonuria Purine salvage pathway defects Induced pluripotent stem cell modeling 4-Hydroxyphenylpyruvate Dioxygenase (HPPD) inhibition Inflammatory/oxidative stress biomarkers Proteomic profiling of rare diseases
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