جست‌وجوی استاد و پژوهشگر

Paul Butaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Data Mining
• +۳ مورد دیگر

Paul Buta is an Assistant Professor in the School of Business & Social Sciences at Colby-Sawyer College. He joined the faculty in 2023 after over 30 years as an entrepreneur, with extensive experience in starting, growing, and selling small businesses. His expertise spans artificial intelligence, natural language processing, data mining, and strategic marketing. Paul holds an MBA from the University of Chicago Booth School of Business (1993), an M.S. in Artificial Intelligence from the University of Illinois at Urbana-Champaign (1986), and a B.S. in Electrical Engineering from the same institution (1984). His research and publications focus on balancing corporate needs with personal privacy, including works like Privacy Panic (2009) and articles on privacy-safe marketing strategies. Prior to Colby-Sawyer, he taught at Boston University since 2008 and has spoken at events such as the International Association of Privacy Professionals and the Data & Marketing Association. Paul is a Certified Privacy Professional (CPP). Paul’s academic contributions bridge AI, business strategy, and ethical data practices. His work highlights interdisciplinary approaches to innovation, stakeholder management, and startup operations. He has collaborated with companies like Optas, JogNog, and WEGO Health, applying technical expertise to real-world business challenges.

Yu Gaoمشاهده پروفایل

دانشیار

• Maternal and Infant Health
• Aboriginal Health
• Rural and Remote Health
• +۳ مورد دیگر

Associate Professor Yu Gao is Deputy Director of Data & Data Integrity and an Associate Professor in Applied Statistics and Health Economics at Charles Darwin University's Faculty of Health, affiliated with the Molly Wardaguga Research Centre. Trained as an obstetrician, her expertise spans advanced biostatistics and health economics, with a focus on maternal and infant health, rural/remote healthcare, and Aboriginal health. She leads quantitative data analysis across major studies like the NHMRC-funded '1+1= A Healthy Start to Life' and Lowitja Institute's Baby Basket Program evaluation. Her work has shaped policy through rigorous economic evaluations, such as demonstrating cost savings and improved outcomes for Indigenous communities via midwifery group practices. Notably, her analysis contributed to securing $4.1M for model expansion. She serves on MRFF Grant Assessment Committees (2022-2023) and NHMRC panels (2016). Education: Master of Obstetrics and Gynecology (2004, China) and PhD in Medical Statistics (Charles Darwin University, 2008). Her research outputs include 3 Lancet publications and 43 peer-reviewed articles. Recent projects (2020–2026) include studies on pandemic impacts on maternity care, Birthing on Country initiatives, and perineal injury prevention. She collaborates internationally on Indigenous healthcare equity and participatory action research. Key Projects: Rainmaker Readiness (2020–2022): Midwifery continuity during pandemic RISE SAFELY Birthing on Country (2022–2027): Empowering Indigenous birthing services Assessing perineal injury care bundles (2019–2024) Grants & Funding: NHMRC, MRFF, Lowitja Institute Labs/Teams: Molly Wardaguga Research Centre, MWRC data analytics team Future Work: Scaling Birthing on Country models, health economic scoping reviews on preterm birth

• Business Ethics
• Digital Ethics
• Sustainability
• +۷ مورد دیگر

Prof. Peter Seele is a Full Professor at the Università della Svizzera italiana (USI), Faculty of Communication, Culture and Society. He is affiliated with the Center for Climate Finance and Sustainability (CCFS), the Ethics and Communication Law Center (ECLC), and the Luxury Observatory Lugano (LOL). His research focuses on corporate social responsibility, digital ethics, business ethics, and sustainability. He holds PhDs in Economics (University of Witten/Herdecke) and Philosophy (University of Düsseldorf). Previously, he worked as an Assistant Professor at the University of Basel and as a post-doc at the Institute for Advanced Studies in the Humanities (KWI). His expertise spans greenwashing, machinewashing, AI ethics, and blockchain ethics. He has published extensively on topics like corporate legitimacy, digital transparency, and ethical challenges in technology. Notable areas include frameworks for detecting ethicalwashing, the societal impact of algorithms, and sustainable procurement practices. His work bridges philosophy, business ethics, and technological innovation. Prof. Seele’s research highlights ethical dilemmas in digitalization, such as dehumanization through algorithms and the paradoxes of corporate sustainability claims. He advocates for institutional reforms in AI governance, including ethics boards composed via sortition. His interdisciplinary approach addresses urgent issues like climate finance, luxury industry ethics, and the ethical dimensions of blockchain technology. Despite no specific awards listed, his contributions to defining emerging ethical challenges in digital and corporate spheres are widely recognized. He advises on master’s theses within his course areas and collaborates with institutions like the CCFS to advance sustainability and ethics in finance and business.

• Distributed Systems
• Cybersecurity
• Data Privacy
• +۶ مورد دیگر

Ashiq Anjum is a Professor of Distributed Systems at the College of Science and Engineering. His research focuses on cybersecurity, privacy-preserving technologies, blockchain applications, machine learning, and IoT systems. He has contributed to advancements in distributed systems, vehicular networks (VANETs), smart grids, and federated learning frameworks. His work emphasizes integrating blockchain for secure data aggregation and leveraging AI techniques for data interpretation and privacy protection. Key research areas include secure communication in drone networks, privacy in vehicular systems using IOTA ledgers, and federated learning with differential privacy. He explores graph models for genomic data analysis and healthcare applications. His publications span journals like Elsevier Information Sciences , Future Generation Computer Systems , and Neurocomputing . Collaborations include projects on data imputation for environmental sensing, deep learning pipelines in cloud computing, and optimizing video analytics for smart cities. His work bridges theoretical computer science with practical applications in IoT, healthcare, and urban sustainability.

• Machine Learning
• Computer Vision
• Medical Imaging Analysis
• +۵ مورد دیگر

Almabrok Essa is an Assistant Professor in the Department of Mathematics, Computer Science, and Data Science at John Carroll University. His research focuses on advanced machine learning techniques applied to medical imaging, computer vision, and signal processing. He holds a faculty position at Dolan Science Center E207 and can be reached via email at aessa@jcu.edu. His work bridges theoretical computer science with practical applications in healthcare, environmental monitoring, and security systems. Research interests include deep learning architectures for medical diagnostics (e.g., chest X-ray analysis and skin lesion segmentation), steganography for secure image transmission, and remote sensing technologies for geospatial analysis. He has pioneered methods like Multibit LSB matching for data hiding and developed frameworks like COVID-CLNet for pandemic response. His contributions span over 20 peer-reviewed articles from 2015 to 2025, showcasing innovations in face recognition algorithms, brain signal analysis, and environmental pattern recognition. Notable applied projects include real-time heart/respiration monitoring systems and automated machinery threat detection for infrastructure protection. His research demonstrates strong interdisciplinary potential, combining computational methods with domains like biomedical engineering, environmental science, and cybersecurity.

• Wireless Communications
• Internet of Things (IoT)
• Edge Computing
• +۷ مورد دیگر

Zheng Chang is a Professor at the Institute of Computing Technology, School of Computer Science and Technology, University of Chinese Academy of Sciences in Beijing, China. With a PhD from the University of Jyväskylä (2013), Chang has established a prolific research career with over 240 publications spanning from 2011 to 2025. Chang maintains strong collaborative ties with researchers at the Chinese Academy of Sciences' Shenyang Institute of Automation and has developed significant international collaborations, particularly with Finnish researchers including Timo Hämäläinen. Chang's research focuses on cutting-edge areas at the intersection of wireless communications, artificial intelligence, and edge computing. Their work prominently features federated learning, UAV networks, resource allocation, and privacy-preserving techniques for IoT applications. Recent publications demonstrate a strong emphasis on vehicular edge intelligence, split learning architectures, and RIS-assisted communications. The research output shows consistent growth with 42 publications in 2024 alone, indicating an active and expanding research program. Chang's 15 most recent publications reveal a clear research trajectory toward addressing the challenges of resource-constrained edge environments through innovative learning architectures. The work spans theoretical frameworks for privacy preservation in federated learning to practical implementations for UAV networks and vehicular systems. A notable trend is the integration of AI-generated content techniques with traditional federated learning approaches to overcome data scarcity issues in edge environments. While specific awards aren't documented in the provided text, Chang's extensive publication record in top-tier IEEE journals including IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology demonstrates significant scholarly impact. The research has been widely cited, with multiple highly cited co-authors including Timo Hämäläinen (66 co-authored papers), Zhu Han (38 papers), and Geyong Min (31 papers). Chang's work shows strong practical applications across multiple domains including intelligent transportation systems, smart agriculture, healthcare IoT, and next-generation 6G networks. The research program appears well-funded through collaborations with major institutions and demonstrates clear translational potential for real-world deployment in edge computing environments.

Bill B. Messerمشاهده پروفایل

استادیار

• Virology
• Immunology
• Infectious Diseases
• +۳ مورد دیگر

William B. Messer is an Assistant Professor in the Department of Medicine at Oregon Health & Sciences University (OHSU), with a focus on virology and immunology. Previously, he was a Clinical Assistant Professor at the University of North Carolina (UNC) School of Medicine. His research emphasizes dengue virus genetics, alphavirus pathogenesis, and immune responses to SARS-CoV-2. He holds an M.D. and Ph.D. from UNC, where his doctoral work investigated dengue virus evolution in Sri Lanka. Education: Ph.D., Ecology, University of North Carolina at Chapel Hill, 2003 M.D., University of North Carolina School of Medicine, 2006 Residency in Internal Medicine, UNC Hospitals, 2009 Fellowship in Infectious Diseases, UNC School of Medicine, 2012 Research Interests: Dr. Messer studies viral evolution, immune responses to flaviviruses (e.g., dengue, Zika), and vaccine development. His work includes multi-omic profiling of immune dysregulation in viral infections and antibody dynamics in SARS-CoV-2. His lab explores viral genetics and host-pathogen interactions, with implications for public health and clinical interventions. Publications: His work spans high-impact journals, focusing on viral pathogenesis, vaccine efficacy, and immune correlates of disease severity. Recent studies include analyses of SARS-CoV-2 antibody responses and cross-neutralizing immunity against alphaviruses. Labs/Teams: Collaborates with OHSU and international teams on viral research, including projects on dengue epidemiology and SARS-CoV-2 diagnostics.

Nandini Sidnalمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Blockchain Technology
• Semantic Analytics
• +۸ مورد دیگر

Nandini Sidnal serves as Senior Learning Facilitator and National Academic Course Coordinator for Torrens University's Master of Software Engineering program through the Centre for Artificial Intelligence Research and Optimisation (AIRO). With over 20 years of international teaching experience in Computer Science, Engineering, and Networking, she has established herself as a key academic figure in AI and blockchain applications. Her educational foundation includes: PhD in Computer Science and Engineering (Cognitive Computing using Intelligent Agents) from Visvesvaraya Technological University (2012) M.Tech in Computer Science and Engineering (Parallel and Distributed Computing using Intelligent Mobile Agents) (2003) Bachelor of Engineering (1993) Nandini's research spans Artificial Intelligence, Blockchain Security, and Cognitive Computing , with strong emphasis on practical implementations in agriculture and healthcare. Her work integrates intelligent agents with distributed systems to solve real-world problems like food supply chain security and medical diagnostics, demonstrating consistent innovation from her early best paper award-winning thesis to current cutting-edge applications. Recent publications reveal a pronounced trend toward AI-driven agricultural optimization (dairy quality, aeroponics, nut farming) and healthcare diagnostics (epilepsy detection), alongside critical work in edge security. These outputs consistently bridge theoretical frameworks with tangible industry solutions, particularly in blockchain-secured IoT systems and deep learning applications. Her scientific recognition includes: Best Paper Award at an international conference for distributed computing research Nandini actively mentors high-impact projects including 'Strengthening Mobile-Based Services for Agriculture' and 'Enhancing VANET Performance with Cloud and Edge Technology.' Her industry collaborations with Intel (Parallel Programming integration) and Nokia (Mobility Research Lab establishment in Finland) demonstrate exceptional academic-industry synergy. The AIRO Centre serves as her primary research hub where she guides PhD candidates in blockchain-secured agri-supply chains and semantic recommender systems. Her Mobility Research Lab in Finland remains a cornerstone of her practical innovation legacy, focusing on next-generation mobile application development that continues to influence current VANET and edge computing research directions.

Cristiano Storniمشاهده پروفایل

دانشیار

• Participatory Design
• Digital Health
• Healthcare Technology
• +۵ مورد دیگر

Cristiano Storni is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and Lero – the Irish Software Research Centre. His work focuses on participatory design methodologies, digital health technologies, and sociotechnical systems. Recent research emphasizes sustainable development through non-human stakeholder inclusion, pandemic response technologies, and ethical frameworks for healthcare innovation. Key research themes include participatory design, self-care technologies, data protection in health systems, and the application of Actor-Network Theory to journalism and healthcare. His contributions span over 39 peer-reviewed publications, with notable work on digital contact tracing apps during the pandemic and participatory design landscapes in Ireland. Current projects explore reworlding practices for environmental challenges and the role of technology in chronic disease management. His work bridges theoretical frameworks like ANT with practical applications in healthcare, education, and public policy.

• Data Privacy
• Information Security
• Medical Informatics
• +۳ مورد دیگر

Dr. Christian Borgs is a Researcher at the Institute of Sociology, University of Duisburg-Essen. His work focuses on privacy-preserving record linkage , leveraging cryptographic methods such as Bloom filters to securely integrate large-scale medical and administrative datasets. Collaborating extensively with Rainer Schnell, he addresses challenges in data privacy in healthcare, including perinatal and neonatal data analysis, mortality registries, and census data integration. His research emphasizes robust techniques for protecting patient privacy while enabling data utility for public health and policy. His publications highlight advancements in Bloom filter encryptions, randomized response techniques, and the evaluation of cryptographic methods for medical datasets. He actively participates in international conferences like ECML PKDD, IEEE ICDM, and the International Population Data Linkage Conference, contributing to the development of secure data integration frameworks. Despite no explicit awards listed, his contributions to privacy-preserving methodologies have significant impact in health informatics and administrative data science.

Elvira Anna Grazianoمشاهده پروفایل

دانشیار

• Behavioral Finance
• Neurofinance
• Fintech
• +۴ مورد دیگر

Elvira Anna Graziano is an Associate Professor of Economics of Financial Intermediaries at Link Campus University in Rome. She coordinates the Master's Degree in Business Administration and serves as Rector's Delegate for Academic Ranking. Her research focuses on behavioral finance, neurofinance, and Fintech, with emphasis on gender diversity and payment decision dynamics. She holds a PhD in Banking and Finance from the University of Rome Tor Vergata. Professional roles include membership in the Lazio Region’s Nudge Unit and editorial roles at major journals. Awards include the AIDEA Prize (2012) and Euromed Best Abstract (2016). Her work bridges neuroscience and finance, analyzing investor behavior and digital payment adoption during crises. Education: PhD in Banking and Finance, University of Rome Tor Vergata Research Interests: Behavioral finance, neuroscience applications in finance, equity crowdfunding dynamics, gender diversity in financial decisions, and pandemic-driven payment transitions. Her studies explore how color psychology (e.g., document design) and social media impact financial choices. Professional Activities: Organized major events like the V Officina di Neuroeconomia and served as Local Chair for the 11th puntOorg Meeting. Active in conference organizing and peer review across international forums (ADEIMF, Euromed Academy). Labs/Teams: Member of the Nudge Unit at Lazio Region, applying behavioral economics to public policy. Collaborates with interdisciplinary teams on fintech innovation and financial education initiatives.

• Medical Imaging Physics
• Genomics in Personalized Healthcare
• Dose Optimization in Radiography
• +۳ مورد دیگر

Jerome Atutornu is a Senior Lecturer in Diagnostic Radiography at the University of Suffolk's School of Allied Health Sciences. He holds a Postgraduate Certificate in Healthcare Education and is a Fellow of the Higher Education Academy (FHEA). His career spans clinical practice in the private sector, NHS collaborations, and academic roles focusing on radiography education and genomics research. Education: Graduated from University of Suffolk in 2012 with the Fodder Memorial Award. Current doctoral research explores equity in genomics for underserved populations. Research interests include medical imaging physics, dose optimization for obese patients, and integrating genomics into personalized healthcare. He actively investigates barriers to genomic technology adoption among marginalized groups. Key publications focus on genomic data sharing ethics, public trust in genomics, and cross-cultural perspectives in healthcare. He presented at high-profile conferences like UK Radiological Congress and Pint of Science. Awards: 2012 Fodder Memorial Award for best UKRC paper. Professional affiliations include the Health and Care Professions Council (HCPC), Society and College of Radiographers (SCoR), and Wellcome Genome Campus' Society and Ethics Research group. Teaching roles: Link lecturer for Colchester General Hospital students. Leads radiography courses and contributes to genomics education across disciplines. Coordinates Erasmus radiography student exchange programs.

• Healthcare Law
• Data Protection
• Civil Law
• +۸ مورد دیگر

Cristina Gil Membrado is a Full Professor of Civil Law at the University of the Balearic Islands (UIB) , affiliated with the Department of Private Law in the Faculty of Law . She has held leadership roles as Dean and Vice-Dean of the Faculty of Law. Her academic training includes Licenciaturas in Law (University of Zaragoza) and Political Science/Sociology (UNED), with a PhD in Law from UIB (2010). Research Interests focus on intersections between law and healthcare technology, data protection, privacy rights, and bioethics. Key areas include legal frameworks for E-Health, AI in medical diagnostics, patient autonomy, surveillance systems, and civil liability in medical contexts. Her work also addresses ethical challenges in genetics, robotics, cryogenics, and disability rights. Publications & Projects : She has authored seven monographs and over 100 articles/chapters, including seminal works on medical records privacy (2011 award), video surveillance law, and ethical AI applications. Current research projects include 'The Right to Digital, Personalized and Robotic Health' (SALUDPYR) and past leadership of 'Law and Medicine: Technological and Scientific Challenges' (DEMETYC). She coordinated influential collective works like 'E-Health, Autonomy and Clinical Data' (2021) and 'Biolaw and Challenges: mHealth, Genetics, AI, Robotics and Cryogenization' (2022). Awards : Spanish Data Protection Agency Award (2011), 8th National Health Law Prize (2023), Luis Pascual González Prize (12th ed.), and XIII Law and Health Prize Professional Roles : Legal member of UIB's Research Ethics Committees, former Director of the Health Law Master's program, and advisor to the University Ombudsman Teaching : Currently teaches courses on Legal Sources II (Law Degree), Legislation and Deontology (Pharmacy), and Civil Law fundamentals in multiple programs

Anne Kamanمشاهده پروفایل

پژوهشگر

• Child and Adolescent Mental Health
• Public Health
• Epidemiology
• +۳ مورد دیگر

Anne Kaman is a researcher at the University of Hamburg's Faculty of Medicine, affiliated with the Department of Child and Adolescent Psychiatry and Psychotherapy and the Center for Psychosocial Medicine. She contributes to longitudinal studies like COPSY and HBSC, analyzing mental health trends in youth and pandemic impacts. University: University of Hamburg School: Faculty of Medicine Department: Department of Child and Adolescent Psychiatry and Psychotherapy Her research focuses on child and adolescent mental health, health-related quality of life, and digital media's influence on well-being. She investigates risk factors during global crises and leads projects like INTEGRATE-ADHD, which combines clinical and epidemiological data for neurodevelopmental disorders. Recent publications examine pandemic effects on youth mental health, ADHD diagnosis integration, and health literacy. She collaborates with networks like HBSC and European Public Health Association. Key methodologies: Longitudinal cohort analysis, cross-cultural validation, epidemiological data integration

Davide Rasellaمشاهده پروفایل

استاد پژوهشی

• Social Epidemiology
• Health Impact Assessment
• Public Health
• +۷ مورد دیگر

Davide Rasella is an ICREA Research Professor and Head of the Health Impact Assessment and Evaluation Group (HIAE) at ISGlobal (Barcelona Institute for Global Health). His work focuses on mitigating poverty-related diseases and health disparities in Low and Middle-Income Countries (LMICs), with expertise in health impact assessment methods. He earned an MSc and PhD in Public Health from the Institute of Collective Health in Salvador (Brazil), a Diploma in Tropical Biomedicine from the Antwerp Institute of Tropical Medicine (Belgium), and training in mathematical modeling from the London School of Hygiene and Tropical Medicine (UK). His career spans over two decades, addressing public health challenges in Latin America and Sub-Saharan Africa through field epidemiology and policy evaluations. Rasella’s research emphasizes methodologies for evaluating the effects of social determinants, conditional cash transfers, and primary healthcare systems using longitudinal big data and forecasting models. Key areas include HIV/AIDS, tuberculosis, child and maternal health, and the impact of socioeconomic policies on health outcomes. He leads large-scale health impact assessments across Brazil, Ecuador, Colombia, Mexico, Mozambique, Gabon, Ethiopia, and Bolivia. His articles analyze policy impacts on mortality, disease incidence, and health equity, with a focus on Brazil’s conditional cash transfer programs and primary healthcare expansions. Findings highlight the critical role of social protection and equitable healthcare access in reducing health disparities. Rasella’s work bridges research and action, advocating for evidence-based policies to address global health challenges during economic crises and polycrisis scenarios. His projects often integrate advanced modeling techniques with real-world data to project future health trends and inform decision-making.