جست‌وجوی استاد و پژوهشگر

• Empirical Software Engineering
• Code Quality Analysis
• Software Maintenance
• +۷ مورد دیگر

Rocco Oliveto is a Professor in the Department of Computer Science at the University of Salerno, Italy, with a distinguished research career spanning over two decades in empirical software engineering. His work bridges theoretical software engineering principles with practical applications, with recent expansion into healthcare informatics and machine learning applications. His research interests focus on code quality assessment, software maintenance practices, developer behavior analysis, and empirical studies of software engineering phenomena. He has made significant contributions to understanding code smells, bug prediction, API compatibility issues, and more recently, container technologies and smart contract analysis. His recent work demonstrates a strategic expansion into healthcare applications, leveraging software engineering techniques for medical diagnostics and rehabilitation systems. Oliveto's publication pattern shows consistent productivity with multiple high-impact publications each year across top venues including IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and Empirical Software Engineering journal. His recent articles (2023-2025) reveal a growing interest in applying software engineering techniques to healthcare domains while maintaining strong contributions to core software engineering topics. The research demonstrates sophisticated methodological approaches combining empirical studies with machine learning techniques. His collaborative network includes prominent researchers such as Simone Scalabrino, Gabriele Bavota, and Andrea De Lucia, with whom he has co-authored numerous high-impact publications. This collaboration spans both traditional software engineering topics and emerging interdisciplinary applications in healthcare.

• Machine Learning
• Data Visualization
• Psychophysics
• +۳ مورد دیگر

Professor Michael John Chantler is affiliated with the School of Mathematical & Computer Sciences at Heriot-Watt University in Edinburgh, UK. His work bridges machine learning, data visualization, and human-centric AI systems to enhance trust and usability in computational tools. Education: First-class degree in Electrical & Electronic Engineering (Glasgow, 1979); PhD in Image Processing (Heriot-Watt, 1994) Research Focus: Transparent AI, ethical crowdsourcing, and tools like Well Sorted for structuring collaborative research landscapes His lab emphasizes strategic thematic summaries of large project portfolios and smart support for research landscaping involving up to 100 stakeholders. Recent projects include human-inspired automation in optical system manufacturing and laser resonator beam alignment datasets. Scientific Awards include: Research Team of the Year (2022) Honourable Mentions at ACM CHI (2017) and ACM DIS (2017) Visualising Covid-19 Research award (2020) He has supervised over 25 PhD students, chaired international conferences, and secured multi-million-pound EU and national funding. External roles include collaboration with the Ocean University of China since 2007.

Maurice Mulvennaمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analytics
• Mental Health and Wellbeing Data Analysis
• +۴ مورد دیگر

Maurice Mulvenna is a full-time Professor of Computer Science at Ulster University , where he drives cutting-edge research at the intersection of Artificial Intelligence , Digital Health , and Assistive Technologies . He leads the Ulster University AI Research Centre and has secured over £66M in research funding, including £12M directly to the university. Current Associate Editor for journals like npj Mental Health Research and Journal of Enabling Technologies 2024 President of the European Association of Cognitive Ergonomics Director at Pneuma Healthcare , developing digital mental healthcare solutions His research focuses on applying machine learning and data analytics to real-world problems in mental health, particularly crisis helpline analysis, suicide prevention, and dementia care. He pioneered the award-winning InspireD reminiscence app for dementia patients and co-developed ChatPal , a multilingual mental health chatbot. His work aligns with UN Sustainable Development Goals for health and wellbeing. Key research themes from his 500+ publications include: Behavioral pattern identification in crisis helpline data Privacy-preserving synthetic data for healthcare Indoor positioning systems for assistive environments Biopsychosocial digital interventions AI ethics in mental health applications Advance care planning tools for dementia Award-winning researcher with 16+ major prizes, including the IST Grand Prize , UK KTP Societal Impact Award , and Trustee of the Year (CO3 Leadership Awards). He chairs international conferences like ICT4AWE and Digital Mental Health & Wellbeing , and serves on 250+ program committees.

Eric Gon-Chee Poonمشاهده پروفایل

استاد

• Health Information Technology
• Patient Safety
• Clinical Decision Support
• +۳ مورد دیگر

Eric Gon-Chee Poon serves as Professor of Medicine and Professor of Biostatistics and Bioinformatics at Duke University School of Medicine, while concurrently holding the executive position of Chief Health Information Officer for Duke Medicine. He maintains active clinical practice in primary care internal medicine at Duke Primary Care's Durham Medical Center. His educational foundation includes an M.D. from Harvard Medical School (1998), M.P.H. from Harvard University (2003), and clinical training at Brigham and Women's Hospital encompassing Internal Medicine residency (1998-2001) and General Internal Medicine fellowship (2001-2003). Professional appointments include Associate Editor roles for New England Journal of Medicine Catalyst (2024-2025) and Journal of the American Medical Informatics Association (2017-2025). Dr. Poon's research program centers on health information technology applications for quality improvement and patient safety across clinical settings. Early work optimized diagnostic test management through clinical decision support systems and secure patient portals, while hospital-based studies examined computerized physician order entry adoption and barcode medication safety systems. Recent scholarship pivots to artificial intelligence implementation challenges, addressing ethical frameworks, clinician acceptance strategies, and large language model validation in clinical workflows. His 2025 publication in JAMIA analyzing health system AI priorities reflects ongoing leadership in this emerging domain. Analysis of his 2020-2025 publications reveals concentrated expertise in AI deployment barriers, with 70% of recent work focusing on ethical governance, clinician burnout mitigation, and practical implementation frameworks for predictive models. Key themes include adapting social media engagement principles to clinical decision support and developing hybrid assessment methodologies for AI-drafted communications. Scientific Awards: No awards explicitly listed in source materials Dr. Poon's operational leadership as CHIO involves strategic oversight of Duke Medicine's Maestro Care (Epic) EHR optimization, requiring partnership with clinical and administrative stakeholders to align technology solutions with organizational objectives. His research program leverages these operational insights to investigate socio-technical impacts of health IT, though specific grant details remain unreported in available materials. As highlighted in Duke's news feature "Bringing Order to the 'Wild West' of Artificial Intelligence in Medicine," Dr. Poon champions structured approaches to AI adoption, emphasizing ethical deployment frameworks and clinician-centered design principles to navigate healthcare's rapidly evolving technological landscape.

Rob Dickersonمشاهده پروفایل

استادیار

• Programming Languages
• Formal Methods
• Relational Verification
• +۳ مورد دیگر

Rob Dickerson is an Assistant Professor of Computer Science at Augustana, specializing in programming languages and formal methods with a focus on practical software engineering applications. His research bridges theoretical principles and real-world implementation challenges. His primary research interests include relational verification , e-graph applications , and modular program logic . He develops techniques for aligning programs, inferring library specifications through data-driven methods, and verifying relational properties across multiple executions. Current projects include KestRel for program alignment and RHLE for relational ∀∃ properties. Key contributions span publications at premier venues including OOPSLA, APLAS, and PLDI workshops. His work on Elrond received a Distinguished Artifact Award at OOPSLA 2021. Notable publications examine relational verification (2025), e-graph-based alignment (2025), and modular verification of relational properties (2022). Distinguished Artifact Award (Elrond, OOPSLA 2021) Dickerson maintains active industry connections through prior work at Square and participates in academic service through venues like the PurPL seminar at Purdue. Outside academia, he engages in épée fencing and amateur piano/violin performance.

Bronwyn Hemsleyمشاهده پروفایل

استاد

• Communication Disability
• Augmentative and Alternative Communication
• Dysphagia and Swallowing Disorders
• +۶ مورد دیگر

Professor Bronwyn Hemsley is Head of Speech Pathology at the University of Technology Sydney (UTS) and co-lead of the UTS Disability Research Network. As a Certified Practicing Speech Pathologist with over 15 years of postdoctoral experience, she has established herself as a leading expert in communication disability research, particularly focusing on Augmentative and Alternative Communication (AAC), dysphagia, and assistive technologies. Her educational background includes a Bachelor of Applied Science in Speech Pathology from the University of Sydney (1985-1988) and a PhD in Communication Sciences and Disorders from the University of Sydney (2008). She has held significant research positions including NHMRC PhD Scholarship (2005-2007) and NHMRC Postdoctoral Fellowship at the University of Queensland (2009-2012). Professor Hemsley's research program explores innovative applications of technology to enhance communication and quality of life for people with disabilities. Her current work spans virtual reality, augmented reality, social media, 3D food printing for dysphagia management, and telesupervision in speech pathology education. She leads the ARC Discovery project 'An Appetite for the Future: 3D Printed Food for People with Swallowing Disability' (2020-2024) and has secured over $4 million in research funding throughout her career. Her publication record shows a clear trajectory toward increasingly sophisticated applications of emerging technologies in disability support, with recent work focusing on AI, immersive technologies, and novel assessment methodologies. The research demonstrates strong interdisciplinary collaboration across health, technology, and design fields. Fellow of Speech Pathology Australia Fellow of the International Society for Augmentative and Alternative Communication Dean's Award for Research Excellence for a Mid Career Researcher at the University of Newcastle (2016) Faculty Dean's Award for Research Excellence at UTS (2021) NHMRC and ARC-funded research projects Professor Hemsley has successfully supervised multiple PhD students to completion, including Dr. Melissa Brunner (now lecturer at USYD) and Dr. Rebecca Smith (now lecturer at UTS). She currently supervises five PhD candidates across diverse topics including health literacy, 3D food printing, telesupervision, and hospital falls prevention. Her grant portfolio demonstrates sustained success in securing competitive funding from NHMRC, ARC, and industry partners, with a particular focus on translating research into practical applications that improve patient safety and quality of life. She serves as an active member of the UTS Ageing Research Collaborative and the Visualisation Institute, collaborating across disciplines to address complex challenges in disability support and healthcare communication.

Adebowale O. Owoseniمشاهده پروفایل

مدرس ارشد

• Digital Transformation
• Digital Innovation
• AI Ethics
• +۵ مورد دیگر

Dr. Adebowale O. Owoseni serves as a Senior Lecturer in Information Systems at De Montfort University within the Faculty of Computing, Engineering and Media and the School of Computer Science and Informatics. With over 15 years of fintech industry experience prior to transitioning to academia in 2019, he bridges practical industry knowledge with scholarly research in digital transformation. His educational background includes a PhD in Information Systems, MBA in Information Technology, MSc in Computer Science (Informatics), and BTech in Computer Engineering. This multidisciplinary foundation supports his research at the intersection of technology, society, and business. Owoseni's research centers on digital transformation with emphases on digital innovation, inclusion, and AI-driven societal impacts. He examines ethical implications across micro, small, and medium enterprises (MSMEs), fintech, higher education, and marginalized communities. His work specifically investigates how responsible digital technologies can advance UN Sustainable Development Goals 8 (Decent Work), 10 (Reduced Inequalities), and 17 (Partnerships). His recent publications reveal strong thematic trends in digital transformation for low-resource contexts, ethical AI implementation in education, and fintech usability for ethnic minority businesses. The research consistently emphasizes contextual adaptation, ethical frameworks, and sustainability alignment across diverse global settings. Future Research Leader 2021-22: Top 10 promising academic leaders at De Montfort University with £1000 research grant Achieve More Award 2019: Recognition for outstanding contribution to Robotics Process Automation at Union Bank of Nigeria Owoseni actively mentors six doctoral students researching topics including African neuroscience ethics, circular plastics economy in Africa, and AI-powered marketing in Bangladesh. His funded projects include the EU Horizon 2020 Living Innovation Project, East Midlands Accelerator CRF digital skills initiative, and internally funded pandemic-response digital transformation studies. He leads the "AI for Teaching Learning and Research in HE" consortium across eight UK universities and participates in the Research and Innovation Institute of Digital Futures.

Fufan Liuمشاهده پروفایل

استادیار

• Digital Transformation
• Cybersecurity Management
• Behavioral Information Security
• +۲ مورد دیگر

Fufan Liu is an Assistant Professor in Digital Transformation at Institut Mines-Télécom Business School (IMT-BS) since 2024. His research focuses on human factors in cybersecurity , behavioral information security , and the intersection of creative design with digital systems . Education Ph.D. in Management Information Systems, University of Jyväskylä (Finland), 2017–2022 Master of Education, Zhejiang Normal University (China), 2013–2016 Expertise Cybersecurity Management Human-Centered Design Neutralization Theory in IS Security Protection Motivation Theory Post-COVID Digital Transformation Recent Research Trends Analysis of fear appeals and irrational behavior in security compliance Exploration of Shadow AI and hybrid work security challenges Investigation into user behavior in digital platforms and e-commerce Professional Contributions Editor/reviewer for ICIS and ECIS conferences External thesis examiner for University of Jyväskylä and University of Agder Collaborative work on cybersecurity program design

John Grundyمشاهده پروفایل

استاد

• Software Engineering
• Model-Driven Engineering
• Human-Centric Software Engineering
• +۵ مورد دیگر

John Grundy is a Professor of Software Engineering and Senior Deputy Dean at Monash University's Faculty of Information Technology in Melbourne, Australia. He is also an Australian Laureate Fellow (2020-2026) and leads the "Human-centric Software Engineering" (HumaniSE) research lab. With over 32 years of academic experience, Professor Grundy has held numerous leadership positions including Pro Vice-Chancellor at Deakin University and Dean roles at Swinburne University and the University of Auckland. BSc(Hons), MSc, PhD and DSc degrees in Computer Science from the University of Auckland IEEE Fellow, Fellow of Automated Software Engineering, Fellow of Engineers Australia Lero Parnas Fellow (2023) Recipient of the ACM SIGSOFT Distinguished Service Award (2023) and Dean's Award for Graduate Research Student Supervision (2024) Professor Grundy's research focuses on making "Software Engineering more like traditional Engineering disciplines" through human-centric visual modeling approaches. His primary research areas include model-driven engineering, software architecture, visual languages, software security engineering, and human factors in software development. He specifically investigates how personality, emotions, gender, age, and disability impact software usage, requirements engineering, design, and testing. His current projects include the Visual Wiki platform for knowledge engineering, Marama meta-tools, and Software Process and Product Improvement initiatives. His research has significant implications for accessibility, usability, and the alignment of software applications with diverse user needs. Professor Grundy has published extensively in top software engineering venues and has supervised numerous PhD students throughout his career. IEEE Technical Council on Software Engineering Distinguished Education Award (2014) ACM SIGSOFT Distinguished Service Award (2023) CORE Distinguished Service Award (2023) Lero Parnas Fellow (2023) Dean's Award for Graduate Research Student Supervision (2024) Professor Grundy has supervised numerous PhD students and has received funding for various research projects, most notably his 5-year Australian Laureate Fellowship (2020-2026) focused on human-centric software engineering. His HumaniSE research lab brings together interdisciplinary teams to address challenges in making software systems more responsive to human needs and contexts. His lab focuses on developing new conceptual foundations and modeling techniques that incorporate human factors throughout the software development lifecycle, with applications in smart homes, digital health, and smart city solutions.