Bertan Badur is a Professor at Boğaziçi University, where he teaches courses such as MIS 132 - Object Oriented Programming , MIS 331 - Data Mining , and CSE 551 - Computational Methods . His research focuses on Data Mining, Agent-Based Modeling, and Machine Learning. Undergraduate: Boğaziçi University, Chemical Engineering M.A.: Boğaziçi University, Economics Ph.D.: Boğaziçi University, Economics His work spans interdisciplinary applications, including predictive analytics in e-commerce , game theory for market share dynamics , and agent-based simulations for migration and social behavior . He has contributed to fields like IT risk modeling , social media analysis for education , and IoT research trends . Recent publications highlight trends in deep learning for customer lifetime value prediction , Nash equilibrium in economic competition , and spatiotemporal crime risk modeling . His academic career bridges computational methods with socio-economic challenges.
Mourad ABED is a researcher at the University of Valenciennes and Hainaut-Cambresis (UVHC), affiliated with the College of Engineering's Department of Computer Science. He serves as Pedagogical Director of the Master's program in Network and Security Engineering and coordinates international Tempus projects focused on digital governance in Algerian universities and logistics excellence in Morocco. His research spans blockchain systems, gamification in education, intelligent transport systems, and ethical AI applications. Research interests include AI-driven gamification frameworks Blockchain for educational systems Personalized learning environments Human-computer interaction in transportation Decision support systems in logistics Ethical AI implementation Scientific contributions show strong focus on 2024-2025 publications about blockchain integration in gamification, AI ethics, and educational data mining, with notable work on MOOC recommendation systems and learner behavior analysis. Earlier works (2017-2023) explore transport ontologies, adaptive user interfaces, and medical imaging applications. Scientific awards include 2014 Best Student Paper Award at ICALT
Elgar Fleisch is a Professor at the University of Zurich, specializing in interdisciplinary research at the intersection of Internet of Things (IoT), Radio-Frequency Identification (RFID), Mobile Health (mHealth), and Energy Informatics. His work bridges theoretical and applied domains, focusing on real-time data analytics, wearable technologies, and behavioral interventions. Key research areas include sensor-based health monitoring systems Development of transparent computing frameworks for AI/data collection Consumer behavior analysis through IoT-enabled retail and energy systems Machine learning applications for circadian rhythm analysis and respiratory disease detection Recent publications demonstrate expertise in federated learning for cough classification, circadian rhythm biomarkers, and driver behavior analytics. While no specific awards are listed in this dataset, his collaborations with institutions like ETH Zurich and University of St. Gallen indicate broad academic engagement.
Dr Amin Karami is an Associate Professor in the School of Computer Science and Digital Technologies (CDT) at the University of East London, within the School of Architecture, Computing and Engineering. He serves as course leader for MSc Big Data Technologies and leads postgraduate programs, having secured £1.23 million in funding from the Office for Students to develop inclusive AI and Data Science courses for non-STEM and far-STEM graduates. His research spans Artificial Intelligence, Big Data Analytics, Blockchain, and Optimization, with focus on Industry 5.0 applications. Current work addresses federated learning heterogeneity, smart contract security, healthcare fraud detection, and ethical AI implementation. He develops cloud-based platforms for large-scale data processing and computational intelligence solutions for real-world industry challenges. Recent publications demonstrate strong trends in federated learning techniques, blockchain vulnerability mitigation, and big data applications across healthcare, finance, and social media. His work consistently bridges academic research with industry needs through partnerships with Multiverse and Cambridge Spark, emphasizing practical solutions for credit risk assessment, satellite telemetry, and personalized marketing. Scientific recognition includes: UEL Vice-Chancellor & President Impact & Innovation Award for Industry 4.0 readiness (2023) Fellow of the Higher Education Academy (FHEA) Dr Karami actively supervises UG/PG/PhD students while leading curriculum innovation through externally funded projects. His Chainlink Bootcamp initiative connects academia with industry practitioners, and he serves as external examiner and conference program chair. Significant grant achievements include developing diversity-focused STEM pathways that enhance graduate employability through industry-aligned training in AI and Data Science.
Dr. Fadi Safieddine serves as a Senior Lecturer in Computing and Management Information Systems within the Department of Engineering & Computing at the University of East London's School of Architecture Computing and Engineering. With over twenty years of higher education experience and membership in the British Computer Society (MBCS), he actively contributes to university accreditation processes for Business Information Systems programmes while maintaining industrial expertise in database development and e-learning systems. His academic credentials include a Doctorate of Philosophy from the University of East London (2004), Postgraduate Certificate in Higher Education (2003), MSc in Information System Management from the University of Stirling (1998), and BSc (Hons) in Business Computers from the Lebanese American University (1997). He holds Fellowship status with the Higher Education Academy (FHEA, 2013). Dr. Safieddine's research spans technology-enhanced education , higher education sustainability , online misinformation combat , and data fusion methodologies . His pioneering work on the 'Right-click Authenticate' verification system has significantly advanced fake news detection research, while his e-university delivery models address critical challenges in virtual education evaluation. Current projects increasingly integrate AI ethics with digital literacy frameworks. Analysis of his 2017-2024 publications reveals three dominant trajectories: (1) sophisticated modeling of misinformation propagation through social networks, (2) probabilistic data fusion techniques for resolving conflicting information sources, and (3) sustainable digital transformation in educational and manufacturing contexts. His recent 2024 deepfake detection study demonstrates growing emphasis on AI-generated content verification within higher education settings. His scientific recognition includes: Fellow of the Higher Education Academy (FHEA) 2013 Finalist for Best Lecturer of the Year in London (2013 and 2014) AUM Business College Outstanding Contribution to University Life 2015 Dr. Safieddine has supervised MSc, DBA, and PhD candidates while securing competitive research funding including £5,000 for the AUM E-Learning Tablet project (2015) and £2,000 for the Optimity online cabling booking system KTP project (2014). His industrial background in web design and database systems directly informs his teaching of Systems Analysis, Database Design, and Management Information Systems across undergraduate and postgraduate programmes. He also maintains active scholarship through published books on personal development topics, with translations in Italian and Russian.
Dr. Diego Casado Mansilla is a Researcher at the MORElab group within the Department of Computing, Electronics and Communication Technologies at the College of Engineering, University of Deusto. His work bridges Sustainable Human-Computer Interaction (HCI), Persuasive Technologies, and Internet of Things (IoT) systems to drive behavior change in energy consumption, urban sustainability, and STEM education accessibility. Education: PhD in Persuasive Technologies for Sustainability and Behavior Change (2016), University of Deusto His research spans two decades, focusing on Sustainable Design , Physical Interaction with Everyday Objects , and Human-Centric IoT Systems . He has led projects like Suggestive Autonomy (2016) and co-led GreenSoul (2017, 2019), which employ IoT for energy awareness in public buildings. Current projects include AmIAire (air quality monitoring) and Urban Adaptation and Alert Solutions (climate resilience, 2024-2028). Key trends in his 20+ publications (2012-2025) include: Energy efficiency in tertiary buildings and smart cities IoT protocols (CoAP, IEC 61850) for industrial and urban systems Behavioral economics and nudging for sustainable decisions Rural STEM education via remote experiments Privacy-preserving smart workplace systems Climate change perception studies across generations His supervised theses and projects address User Diversity , Edge Computing , and Industry 4.0 Adoption . He collaborates with European institutions on grants from the Ministry of Science and Innovation and European Commission , contributing to citizen science initiatives like SOCIO-BEE and educational tools such as EngageMate and Computario .
Sydney Anstee serves as a Senior Research Fellow within the School of Health Sciences at the University of Southampton, leveraging extensive cross-sector experience spanning the NHS, academia, public health, local government, third sector organizations, and social care. Her work bridges research, project management, and implementation science with a focus on translating evidence into practical healthcare solutions while championing open research practices to reduce waste and maximize societal impact. Her research program centers on critical health domains: Implementation Science & Intervention Development : Creating frameworks for transitioning scientific evidence into real-world practice Workforce Wellbeing : Investigating healthcare professional resilience, particularly during crises like the COVID-19 pandemic Sexual & Reproductive Health : Specializing in menopause transition, disease prevention, and condom use optimization Stigma Reduction : Addressing marginalization in mental health and sensitive health conditions Research Prioritization : Developing tools for identifying high-impact research areas and measuring societal benefit Analysis of her publication record reveals consistent focus on practical healthcare challenges through diverse methodologies including systematic reviews, feasibility trials, and health services research. Her work spans nursing workforce dynamics during pandemics, sexual health interventions, and patient experience analytics, demonstrating strong interdisciplinary collaboration across clinical, academic, and policy domains. Dr. Anstee actively contributes to major research initiatives including the ICON survey on nurses' pandemic experiences, Magnet4Europe (adapting US hospital accreditation models for European contexts), and the HIS-UK Condom Study. Her grant portfolio reflects expertise in NIHR-funded projects spanning intervention development, implementation science, and cross-sector collaboration, though her profile does not list current PhD supervisees. International engagement includes Medical Research Council work in Bolivia and post-tsunami mobile clinic operations in Sri Lanka, underscoring her commitment to globally relevant health solutions.
Jean Stevenson-Ågren is a Senior Lecturer at Linnaeus University where she has been teaching since 2002. She represents the Faculty of Arts and Humanities on the Faculty Interest Board for eHealth (FIRE). Her academic journey began with extensive clinical practice as a Registered Nurse in Aberdeen, Registered Midwife in Glasgow, Intensive Care Nurse in Glasgow and Toronto, and Nurse teacher in Aberdeen, with professional experience across Scotland, Canada, and Saudi Arabia. Dr. Stevenson-Ågren earned her PhD in Health Informatics from the University of Sheffield. Her educational background uniquely combines extensive clinical nursing experience with advanced academic training in health informatics, creating a bridge between frontline healthcare practice and digital healthcare solutions. This dual perspective informs her teaching in English, Health Informatics, and eHealth at Linnaeus University. Her research focuses on critical intersections of healthcare delivery and technology, particularly in patient safety, electronic health records, and vital signs monitoring. A significant portion of her recent work addresses communication challenges in maternity care, specifically developing technological solutions to assist non-Swedish speaking women during prenatal care. Her work demonstrates a consistent commitment to improving healthcare quality through thoughtful integration of technology that addresses real clinical needs while considering human factors in healthcare delivery. She has developed a communication application specifically designed to facilitate interaction between Swedish midwives and Arabic-speaking women during antenatal care. Analysis of her publication record reveals a strong trajectory of research focused initially on documentation practices in electronic health records, particularly regarding vital signs monitoring and patient safety. More recently, her work has shifted toward developing practical solutions for communication barriers in maternity care, resulting in the creation of bilingual/multilingual applications to support midwives working with immigrant populations. Her approach consistently emphasizes user-centered design and evidence-based development, ensuring that technological solutions are both clinically relevant and practically implementable in real healthcare settings. Dr. Stevenson-Ågren actively represents her faculty in eHealth initiatives through her role on the Faculty Interest Board for eHealth (FIRE). While specific grant information isn't detailed in the available materials, her extensive publication record spanning over a decade suggests successful research funding to support her work in health informatics and patient safety. Her doctoral thesis, 'Documentation of Vital Signs in Electronic Health Records: A Patient Safety Issue,' represents a significant contribution to the field. Her research has led to practical applications, most notably communication tools for maternity care that address language barriers between midwives and non-Swedish speaking patients. This work appears to involve collaboration with the 'innovative Cardiac Arrest REsearch group (iCARE)' mentioned in her profile, suggesting interdisciplinary teamwork that combines clinical expertise with technological innovation to address critical healthcare challenges. Her work has been presented at major conferences including Vitalis (the largest eHealth event in Scandinavia) and the European Society of Cardiology Congress.
Lucian Patcas serves as an Adjunct Assistant Professor in the Department of Computing and Software within McMaster University's Faculty of Engineering. His academic profile centers on bridging theoretical models with practical software engineering solutions for embedded and safety-critical systems development. His research encompasses Software Engineering , Model-Based Development , and Embedded Systems , with specialized expertise in requirements implementation, real-time analysis, and domain-specific tooling. Key contributions include advancing the Four-Variable Model for safety-critical systems and developing methodologies for Simulink-based embedded design documentation. His work integrates formal methods with practical engineering tools, targeting automotive and safety-critical application domains. Recent publications (2013-2018) demonstrate sustained focus on model-driven approaches for embedded software, requirements traceability, and web service composition. The publication trajectory reveals evolution from foundational web services research toward specialized embedded systems engineering, with strong emphasis on verification and validation techniques. Patcas maintains active collaborations with McMaster researchers including Mark Lawford (6 co-authored publications), Vera Pantelic, and Alan Wassyng, focusing on formal verification methods for embedded systems. While no active grants appear in VIVO records, his research demonstrates tangible impact through patent references and academic readership (29 Mendeley readers).
Dr. Jennifer Debenham is a Postdoctoral Research Fellow at the Matilda Centre for Research in Mental Health and Substance Use, Faculty of Medicine and Health, University of Sydney, with a concurrent Postdoctoral placement at Columbia University's department of developmental epidemiology. Her innovative research program harnesses neuroscience and digital technology to develop scalable interventions that reduce substance use harms and promote mental health among adolescents and young adults. She leads the development and evaluation of The Illicit Project, a neuroscience-based eHealth intervention that has demonstrated strong preventive effects among young people. Dr. Debenham holds a Bachelor of Commerce and Science from the University of Sydney and a PhD in Medicine from the same institution, which she completed in 2021. Her interdisciplinary training combines business, science, and medical expertise, providing a unique foundation for addressing complex public health challenges in adolescent substance use and mental health. Her research focuses on substance use harm reduction, mental health promotion, and prevention strategies grounded in neuroscience. She emphasizes consumer-led research and implementation science to ensure her findings translate into practical applications. A key innovation is The Illicit Project, which integrates neuroscience education with harm reduction principles to create engaging digital interventions for adolescents. Her work addresses the critical period of neurodevelopment when young people are particularly vulnerable to substance use initiation and mental health challenges. Analysis of Dr. Debenham's publications reveals a strong focus on understanding mental health and substance use trajectories across the lifespan, with particular emphasis on adolescent neurodevelopment. Her research employs diverse methodologies including randomized controlled trials, longitudinal studies, and systematic reviews to evaluate digital and school-based interventions. A distinctive feature of her work is the integration of neuroscience education with practical harm reduction strategies, creating interventions that are both scientifically rigorous and accessible to young people. Her publications span high-impact journals across public health, neuroscience, and digital health domains, reflecting the interdisciplinary nature of her research. Scientific Awards and Honors (2022) Best paper award, Society for Mental Health Research Best Paper Competition ($1,000) (2021) BUPA Foundation Emerging Health Researcher Award, Finalist ($1,000) (2021) Society for Prevention Research Travel Award for virtual conference ($110) (2021) Matilda Centre Postgraduate Student Research Excellence Award (2021) Matilda Centre PhD Support Scheme Recipient Award ($2,500) Multiple scholarships and research support awards totaling over $100,000 Despite being only one year post-PhD at the time of this profile, Dr. Debenham has demonstrated exceptional research productivity and leadership. She has authored over 20 manuscripts, 13 educational health resources, and 2 book chapters. She has secured 7 competitive grants, including funding from the Department of Health and Aged Care for her OurFutures Vaping program. She has assembled an interdisciplinary research team comprising neuroscientists, epidemiologists, mental health experts, creative agencies, and consumers, reflecting her commitment to collaborative and translational research. Her work has received media attention through features on ABC Radio National and ABC Radio Darwin, highlighting her ability to communicate complex scientific concepts to the public. Dr. Debenham leads The Illicit Project research team, which is actively scaling this evidence-based intervention across Australian schools and universities. She is also developing neuroscience-based harm reduction resources for the NSW Ministry of Health and investigating mental health and substance use trajectories using data from the US-based Monitoring the Futures Study. Her research program exemplifies the integration of rigorous science with practical application, with a clear focus on reducing the harms of substance use and mental disorders among adolescents and young adults.
Janna Hastings is Assistant Professor for Medical Knowledge and Decision Support at the Institute for Implementation Science in Health Care (Faculty of Medicine) at the University of Zurich since August 2022, while also serving as Vice-Director of the School of Medicine at the University of St. Gallen. Her research focuses on digitalization in clinical contexts, examining how AI-driven knowledge systems reshape clinical practice, professional identity, and doctor-patient relationships. Education: PhD in Computational Biology (University of Cambridge, 2019), part-time MSc in Computer Science (University of South Africa, 2011), MSc in Philosophy (Open University, 2012) Prior Roles: Group Coordinator at European Bioinformatics Institute (2006-2015), Postdoctoral Researcher at Otto-von-Guericke University Magdeburg (2019-2022), Co-Leader of Human Behaviour-Change Project at University College London (2017-2022) Her research spans ontology development for biomedical domains (ChEBI, Human Behaviour Ontology), AI applications in healthcare decision-making, and behavior change interventions. Key projects include: Building ChEBI molecular ontology Developing Human Behaviour-Change Project knowledge system Ontology-driven mental health frameworks LLM applications in radiation oncology Time-series modeling of metabolism in ageing She explores the capabilities and limitations of clinical AI systems, with publications in JMIR and Lancet Digital Health , covering topics like bias prevention in generative AI and proteomic biomarker discovery. Her work bridges biomedical research with implementation science and digital ethics.
Thomas Peter Plagemann is a Professor in the Department of Informatics at the University of Oslo , specializing in Data and Knowledge Systems . His research focuses on data stream processing , sensors and AI for health , Internet of Things , and mobile network applications . Current projects: Parrot (Privacy Engineering for IoT), Respire (Explainable ML for Sleep Disorders), and TRAMP (Real-Time Application Mobility) Editorial leadership: ACM Transactions on Multimedia Computing and past roles at Computer Communications and Multimedia Systems Recent publications analyze operator migration in stream processing , explainable AI for pediatric sleep apnea , and privacy-preserving healthcare systems . His work combines distributed computing , sensor networks , and machine learning applications in medical and mobile environments.
Daniel Leung is a Professor of Internal Medicine and Adjunct Professor of Microbiology and Immunology at the University of Utah . He holds a B.Sc. and M.Sc. from the University of British Columbia and an M.D. from Wake Forest University School of Medicine . His research focuses on Mucosal-Associated Invariant T (MAIT) cells in infections like cholera , sepsis , and diarrheal diseases , with emphasis on their immune regulatory roles and vaccine implications. Education: B.Sc., University of British Columbia M.Sc., University of British Columbia M.D., Wake Forest University School of Medicine Leung's work examines how MAIT cells contribute to B cell help , antibody production , and mucosal immunity . His team investigates these cells in human tonsil germinal centers and mouse models , particularly in cholera vaccine development using MAIT-activating ligands . Recent publications highlight his efforts in serosurveillance for cholera and SARS-CoV-2 , integrating statistical and machine learning approaches to estimate disease incidence from cross-sectional data. He also develops electronic clinical decision support tools (eCDST) for diarrhea management in low- and high-resource settings , aiming to reduce antibiotic misuse and improve patient outcomes. Key collaborations include the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) , GHESKIO (Haiti) , and institutions like Johns Hopkins and University of Florida . His research is funded by NIH (R01AI130378, R01AI135114, R01AI135115) and the Bill & Melinda Gates Foundation (OPP1198876).
Thomas Noll is a full Professor at Bielefeld University , affiliated with the Faculty of Engineering and leading the Cell Culture Technology Working Group . He serves as a Member of the Faculty Conference (University Professors) , Member of the Habilitation Committee , and Chair of the Molecular Biotechnology (Master) Examination Board . His work bridges biotechnology with engineering principles and interdisciplinary applications. His research focuses on CHO cell cultivation , perfusion processes , bioprocessing optimization , and biotechnological solutions for climate change . He integrates CRISPR/Cas9 for site-specific genetic integration and investigates hyperosmolality stress responses in cell cultures. The recent Google Scholar articles highlight a sustained research trajectory in lentivirus production , CHO secretome analysis , and sustainable biotechnologies . These works emphasize process intensification, proteome dynamics, and interdisciplinary approaches to biopharma and environmental challenges. Professor Noll contributes to academic governance as a board member of the Center for Biotechnology (CeBiTec) and through Molecular Biotechnology module responsibilities . His leadership spans interdisciplinary biotechnology , cell culture engineering , and industrial biotech education . No explicit teaching or lab details are provided in the scraped text.
Carlos Lopezosa García is an Associate Professor at the Communication Department of Pompeu Fabra University in Barcelona, Spain. He is an active researcher in the DigiDoc Group, focusing on digital communication and web visibility. His academic journey includes a Degree in Journalism from CEU Cardenal Herrera, a Master in Journalism and Dissemination from Complutense University of Madrid, and a Doctorate in Communication from Pompeu Fabra University. His research interests center around digital journalism, web visibility and cybermedia, new journalistic formats, SEO, YouTube optimization, and the intersection of artificial intelligence with media practices. Lopezosa has developed expertise in Search Experience Optimization (SXO), which combines SEO with user experience considerations to improve content visibility. His research output shows a clear evolution from traditional SEO studies toward the integration of AI in journalism and communication research. The most recent publications demonstrate his growing focus on AI applications in media, including the use of ChatGPT for qualitative research, analysis of AI-generated content, and the impact of generative AI on information ecosystems. His work bridges technical SEO expertise with critical analysis of media practices in the digital age. Project "Narración interactiva y visibilidad digital en el documental interactivo y periodismo estructurado" (RTI2018-095714-B-C21) funded by the Ministry of Economy and Competitiveness Project "MIRONINS – Redesign of the cultural experience of visiting a museum through transmedia narrative, gamification and new technologies" (COMRDI18-1-0009) funded by ACCIÓ program, Generalitat de Catalunya Project "Parámetros y estrategias para incrementar la relevancia de los medios y la comunicación digital en la sociedad: curación, visualización y visibilidad (CUVICOM)" (PID2021-123579OB-I00) funded by MICINN, Ministry of Science and Innovation (Spain) Lopezosa maintains an active presence in academic circles with profiles on ORCID, Google Scholar, ResearchGate, and Academia.edu. His work has practical applications for media organizations seeking to improve their digital visibility while maintaining journalistic integrity in an era of algorithmic content distribution and AI-generated information.
