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Hai WangView profile

Professor

• Big Data
• Business Analytics
• Business Intelligence
• +5 more

Hai Wang serves as Professor in the Department of Finance, Information Systems, and Management Science at Saint Mary's University's Sobey School of Business, with an additional Adjunct Professor appointment in Dalhousie University's Faculty of Computer Science. His career progression from Assistant Professor (2004) to Associate Professor (2010s) to current full Professor demonstrates sustained academic impact within Canadian business education. His educational foundation includes: B.Sc. in Computer Science, University of New Brunswick (1995) M.Sc. in Computer Science, University of Toronto (1997) Ph.D. in Computer Science, University of Toronto (2004) Professor Wang's research integrates technical data science with business applications , featuring core interests in Big Data, Business Intelligence, and Knowledge Management. His work emphasizes practical implementation frameworks for enterprises, particularly focusing on Shared Services optimization and SME data analytics , while maintaining strong connections to Machine Learning and Database Management methodologies. This interdisciplinary approach bridges computer science rigor with business decision-making needs. Analysis of his recent publications (2020-2023) reveals three dominant trajectories: (1) Knowledge Management applications in cybersecurity and small business contexts, (2) Pedagogical innovations in database and business analytics education (including no-code approaches), and (3) Predictive analytics for shared services operations. His work consistently demonstrates translational value from academic research to business practice. His scientific recognition includes: Decision Sciences Journal of Innovative Education Best Teaching Brief Award (2011) Research funding from NSERC supports his ongoing work, while his teaching portfolio spans foundational courses like Business Applications Programming and advanced topics including Business Intelligence and Data Visualization. His mentorship extends through course-based projects and textbook authorship, though formal doctoral advisees aren't documented in public profiles. Current course offerings (2023-2024) confirm active classroom engagement across undergraduate, MBA, and Master's programs. Professor Wang maintains significant scholarly output through textbook development and conference leadership, with research increasingly addressing real-world challenges in business data ecosystems while advancing information systems education methodologies.

S. Paul SmithView profile

Professor

• Noncommutative Geometry
• Algebra
• Mathematics

S. Paul Smith is a Professor of Mathematics at the Department of Mathematics, University of Washington. His research focuses on Noncommutative Geometry and Algebra , with an emphasis on theoretical and applied aspects of these fields. Personal Blog Google Scholar Profile (conflicting biomedical diagnostics publications) arXiv Papers Research Interests Smith's work spans Noncommutative Geometry and Algebra, with a parallel focus on biomedical diagnostic technologies evident from publication metadata. His recent articles highlight innovations in point-of-care diagnostics , nucleic acid amplification , and paper-based microfluidics . Academic Service He serves as an editor for the Journal of Algebra and Its Applications and Algebras and Representation Theory .

Dario ParigiView profile

Associate Professor

• Structural Engineering
• Sustainable Construction
• Timber Reuse
• +5 more

Dario Parigi serves as Associate Professor, Head of Division, and Head of Research Group within the Department of the Built Environment at Aalborg University's Faculty of Engineering and Science. He leads the Sustainable Structures, Materials and Construction Research Group and maintains an active research profile with 43+ publications and 5 major projects including the active Instant Urbanism initiative. His work bridges structural engineering, sustainable design, and computational methodologies. Parigi's research spans timber reuse optimization , reciprocal structural systems , and multi-dimensional form-finding , with recent focus on carbon metrics for reused timber and kinetic adaptive facades. His fingerprint analysis reveals strong connections to Design Process (100%), Form Finding (83%), and Reciprocal Structures (64%), demonstrating consistent thematic focus across two decades of work. Analysis of his 15 most recent publications shows increasing emphasis on circular construction (2021-2022), with 60% addressing timber reuse challenges and optimization methodologies. Earlier works (2015-2018) established foundational frameworks for reciprocal structures and computational design tools, evolving toward integrated sustainability metrics in recent output. 5 million DKK research grant for timber reuse (2024) Det Obelske Familiefond funding for Utzon(x) Research-by-design Multiple media features in Danish press (2024) regarding sustainable construction research As Principal Investigator for projects like Lightweight structural elements and Skolernes Indeklima, Parigi secures significant research funding while mentoring junior researchers through 14 documented activities including conference presentations and workshop leadership. His Urban Tranquility project demonstrates interdisciplinary collaboration across environmental and structural domains. Parigi directs the Sustainable Structures, Materials and Construction Research Group where his team develops innovative approaches to structural reciprocity and material reuse. Current focus includes the Parigi Mechanism for adaptive facades and computational frameworks for minimal-waste timber layouts, with recent press coverage highlighting real-world applications of their research.

Nada SanadView profile

Researcher

• data-driven decision-making
• human-machine collaborative rationality
• hybrid intelligence
• +9 more

Nada Sanad is a postdoctoral researcher at the Empirical Software Engineering in Software, Systems, and Services (M3S) research unit at the University of Oulu's Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. (2024) in Information Processing Science from the University of Oulu, focusing on data-driven decisions and human-machine collaboration. She holds a B.Sc. (2011) and M.Sc. (2013) in Business Informatics from the German University in Cairo, Egypt, with a focus on data mining and big data analytics. Her research interests span data-driven decision-making, hybrid intelligence, human-machine collaboration, AI/ML for decision support, big data analytics, and business intelligence. Her work emphasizes ethical and practical applications of AI in decision-making processes, particularly in autonomous systems and manufacturing contexts. Recent publications (2023–2025) highlight trends in evaluating AI-driven decisions, hybrid intelligence frameworks, and data governance in industry. She contributes to projects like OXILATE, integrating AI insights into actionable expertise. Nada Sanad has not been listed as having formal advisees but collaborates actively in interdisciplinary teams at the M3S unit. She maintains profiles on ORCID, SCOPUS, Google Scholar, and ResearchGate.

Yao SunView profile

Assistant Professor

• Communication Studies
• Social Media Analysis
• Health Communication
• +3 more

Yao Sun is an Assistant Professor in the Department of Humanities & Social Sciences at New Jersey Institute of Technology (NJIT). His research focuses on communication studies, social media analysis, health communication, and innovation management. He holds a Ph.D. in Communication from the University of Southern California (2019), an M.Phil. from Hong Kong Baptist University (2013), and a B.S. in Management from Communication University of China (2011). His work explores topics such as digital surveillance in healthcare, influencers' impact on consumer behavior, and crowdsourcing for innovation. He is affiliated with the Van Houten Library and actively contributes to research on technology acceptance and social media's role in health crises. Education Ph.D., Communication, University of Southern California, 2019 M.Phil., Communication, Hong Kong Baptist University, 2013 B.S., Management, Communication University of China, 2011 Research Interests Dr. Sun investigates the intersection of technology and society, particularly in healthcare communication, social media dynamics, and innovative knowledge creation. His studies address how digital tools influence caregiving practices, misinformation propagation during pandemics, and the efficacy of crowdsourcing in generating creative solutions. He emphasizes ethical considerations in surveillance technology and the psychological impacts of online communities. Recent Research Trends His recent work highlights trends in pandemic-related communication (e.g., Reddit sentiment analysis for vaccine attitudes), caregiver technology adoption (GPS tracking for dementia care), and the role of influencers in brand engagement. He employs mixed methods including structural equation modeling and semantic network analysis to explore these areas. Awards No scientific awards explicitly listed in the provided text. Advising & Grants No specific advising roles or grants mentioned in the text; however, his research aligns with NJIT’s strategic focus on innovation and technology-driven solutions. Labs/Teams No specific labs or teams explicitly affiliated with this profile.

• Political Economy
• Vocational Education and Training
• Technological Change
• +3 more

Dean Stroud is a Professor in the School of Social Sciences at Cardiff University, specializing in skills systems, greening of industries, and technological transformation. His research focuses on the political economy of skills, workplace organization, and the greening of jobs and economies, particularly within the European steel industry. He holds a PhD in Education and Sociology from Cardiff University, alongside an MSc and BSc in Economics and Sociology. Education: PhD in Education and Sociology, Cardiff University (2002) MSc in Social Research Methods, Cardiff University BSc (Econ) in Sociology, Cardiff University His research explores how technological advancements like Industry 4.0 and AI impact workforce skills and sustainability in heavy industries. Key projects include the ALCHIMIA initiative optimizing steel production and the ESSA project addressing European steel sector skills needs. Stroud has secured significant funding, including a €4M grant for sustainable steelmaking and a 2011 European Commission award for the GT-VET project. He explores themes such as decarbonization, digitalization, and the social implications of technological change. Recent work emphasizes AI's role in steelmaking and the challenges of reskilling workers in a transitioning economy. Grants & Awards: €3.5M ALCHIMIA Project (2022–2025) 2011 European Commission Leonardo da Vinci Best Project Award Fellow of the Higher Education Academy (FHEA) Stroud collaborates internationally with organizations like the European Steel Technology Platform (ESTEP) and advises on policy initiatives for sustainable workforce development. His work bridges academic research with practical applications in industry and education sectors.

Will HurstView profile

Associate Professor

• Data Science
• Extended Realities (XR)
• Critical Infrastructures
• +7 more

Dr. Will Hurst is an Associate Professor in Data Science and Extended Realities at Wageningen University & Research's Information Technology Group. He holds a PhD in Computer Science (focused on Critical Infrastructures) and has over 100 international publications across data science, creative technologies, and critical infrastructure security. His research emphasizes XR applications in education, healthcare, and sustainability, alongside smart meter analytics and cybersecurity. Education: PGCert (Distinction) in Higher Education, MSc Web Computing, BSc Product Design Grants: EPSRC-funded 'Data Analytics for Health-Care Profiling using Smart Meters' and InnovateUK's Productivity Accelerator Research interests include digital twins, immersive learning technologies, and interdisciplinary hackathon methodologies. Recent work explores AR/VR in medical training, NFTs in art, and sustainable consumer behavior. Awards include recognition as an award-winning Reader in Creative Technologies at Liverpool John Moores University (2016-2022). Teaching includes courses on data visualization, digital game development, and advanced multimedia systems. Engages in active aging initiatives through co-design hackathons and community-based projects.

Laura W. PlexicoView profile

Professor

• Fluency Disorders
• Speech Science
• Counseling in Speech-Language Pathology
• +3 more

Laura W. Plexico serves as Professor and Associate Dean of Engagement and Graduate Studies in the Department of Speech, Language & Hearing Sciences within Auburn University's College of Liberal Arts. Her academic leadership spans both administrative roles and active clinical research, with particular emphasis on bridging theoretical speech science with practical therapeutic applications for communication disorders. Education: PhD, The University of Memphis MA, The University of Memphis BS, The University of Montevallo Research Focus: Dr. Plexico's work centers on fluency disorders (particularly stuttering) and speech science, with expanding investigations into counseling methodologies for communication disorders. Her recent publications reveal deepening exploration of autism spectrum disorders and voice pathology, often examining psychosocial dimensions like self-acceptance and workplace discrimination impacts alongside physiological voice mechanisms. This dual focus on clinical practice and patient psychology characterizes her integrative approach. Publication Trends: Analysis of her 2019-2025 publications shows evolving research trajectories from foundational stuttering studies toward complex intersections of hormonal influences, occupational voice demands, and psychosocial adaptation. Notably, her work increasingly incorporates interdisciplinary perspectives—merging endocrinology with voice science and workplace psychology with stuttering management—while maintaining clinical applicability through tools like the CAPE-V assessment protocol. Scientific Awards: No specific awards were documented in the provided materials. Advising and Funding: As Associate Dean of Graduate Studies, Dr. Plexico oversees graduate program development while mentoring clinical students through advanced courses (CMDS 7700-7740). Her research is supported by significant external funding, most notably: National Institutes of Health R03 grant ($457,644) for "Multisystem measurements of hormonal influence on voice production" (2014) Research Infrastructure: She directs the Stuttering and Speech Science Lab, which facilitates investigations spanning acoustic analysis of disfluencies, therapeutic alliance development, and physiological voice measurement—providing critical resources for both faculty research and student training in evidence-based practice.

Emanuela MarascoView profile

Assistant Professor

• Artificial Intelligence
• Computer Vision
• Hyperspectral Imaging
• +3 more

Emanuela Marasco is an Assistant Professor at George Mason University within the College of Engineering and Computing , affiliated with the Information Sciences and Technology (IST) Department , Center for Secure Information Systems (CSIS) , and Institute for Digital Innovation (IDIA) . She leads the CySBeR Lab and holds a tenure-track position. PhD: Computer and Automation Engineering, University of Naples Federico II (Italy), 2010 BSc/MSc: Computer Engineering, University of Naples Federico II (Italy), 2006 Her research focuses on Artificial Intelligence (AI) with applications in Computer Vision , Hyperspectral Imaging , Biometrics , and Cybersecurity . Key themes include: Designing AI algorithms for identity verification using pattern recognition and deep learning . Developing multi-factor authentication systems, including a patented biometric-based MFA technology . Advancing hyperspectral imaging for biochemical analysis in security contexts. Her recent publications explore fingerprint anti-spoofing , demographic bias mitigation , and AI integration in virtual reality and military decision-making . She has received the Mason Innovation Award (2023, 2025) and IDIA P3 Faculty Fellowship (2023) . NSF-funded projects: "Sweaty Digits" ($200,000, 2023-2025) and "Hyperspectral Sweat Metabolite Detection" (2020). She has previously held postdoctoral positions at the University of North Carolina at Charlotte and West Virginia University , contributing to pattern recognition and biometric interoperability research.

• Network Security
• Wireless Communication
• Blockchain Technology
• +5 more

Dimitrios Makrakis is a Professor affiliated with the University of Ottawa, Canada. His research focuses on interdisciplinary areas at the intersection of computer networks, cybersecurity, and biomedical engineering. Key research interests include blockchain technology applications in healthcare and finance, molecular communication for nanonetworks, vehicular networks security, and optogenetic-based communication systems. He has collaborated extensively with researchers like Abdelhakim Hafid and Binod Vaidya, producing impactful work in IEEE journals and conferences. His work spans theoretical and applied domains, such as developing secure authentication protocols, analyzing blockchain protocols in quantum contexts, and designing biomedical sensor systems. Notable contributions include frameworks for federated learning in healthcare, privacy-enhanced authentication systems, and bio-inspired nanogenerators for medical applications. Makrakis has also contributed to network protocols optimization in software-defined data centers and vehicular communication networks. Publications highlight his expertise in interdisciplinary fields: from quantum-resistant blockchain strategies to machine learning-driven price prediction in cryptocurrency markets. His research often bridges fundamental science with real-world applications, addressing challenges in privacy, security, and efficiency across distributed systems.

• Business Analytics
• Social Media Analytics
• Artificial Intelligence
• +4 more

Dr. Amir Karami is an Associate Professor of Quantitative Methods/Business Analytics at the University of Alabama at Birmingham (UAB) in the Collat School of Business. He also holds roles as a Scientist at UAB's School of Medicine and previously served as Associate Dean for Research at the University of South Carolina's College of Information and Communications. His expertise spans computational social science, health informatics, and social media analytics. Dr. Karami holds a PhD in Management Information Systems from the University of Maryland Baltimore County. His research focuses on leveraging text mining, AI, and machine learning to analyze social media data for insights in healthcare, political discourse, and workplace dynamics. He has been recognized with the Healthcare 2021 Young Investigator Award and an honorable mention from the ASIS&T SIG Social Media Annual Workshop. Key Roles: Associate Professor (UAB Collat School of Business), Scientist (UAB School of Medicine), Former Associate Dean (UofSC). Research Themes: Misinformation detection, health informatics, computational methods for qualitative data, and workplace sexual harassment analysis. Labs/Teams: Karami Lab (GitHub repository hub for datasets and tools). His work bridges academia and practical impact, collaborating with institutions like the South Carolina SmartState Center for Healthcare Quality and the Big Data Health Science Center. He actively publishes in journals like Healthcare and Journal of the Association for Information Systems .

Pasi FräntiView profile

Professor

• Machine Learning
• Data Mining
• Pattern Recognition
• +7 more

Pasi Fränti is a Professor of Computer Science at the University of Eastern Finland (UEF) since 2000, affiliated with the School of Computing within the Faculty of Science, Forestry and Technology. He holds MSc and PhD degrees from the University of Turku (1991 and 1994). His research focuses on machine learning, data mining, pattern recognition, and location-based systems, with notable contributions to clustering algorithms, image compression, and speech technology. Fränti leads the Machine Learning research group at UEF and has supervised 25 PhD students, covering topics like clustering, image/audio compression, and location-aware systems. His work bridges theoretical advances with practical applications in healthcare optimization, mobile services, and intelligent systems. He has published extensively, with over 79 journal articles and 167 conference papers, including 14 IEEE Transactions papers. Recent research highlights include optimizing health station locations via clustering algorithms, outlier detection improvements, and gamified location-based services (e.g., Mopsi). His interdisciplinary projects address challenges in urban planning, energy systems, and biomedical signal processing. Fränti actively critiques academic publishing practices, advocating for open science and peer review reforms. Key projects include the IMPRO initiative (2018–2023) supporting health/social services reform, and contributions to journals like Applied Computing and Intelligence . His lab develops tools for real-time data clustering and spatial analysis, with applications in mobile user behavior prediction and smart city infrastructure planning.

Rich BoakesView profile

Professor

• Distributed Systems
• Semantic Web Technologies
• Web APIs
• +3 more

Dr. Rich Boakes serves as Associate Head (Infrastructure and Resource) at the University of Portsmouth , affiliated with the Faculty of Technology and School of Computing . His research focuses on distributed systems , semantic web technologies , and web API evolution . Current projects include Portsmouth AI and Data Science Centre Available at Rich.Boakes@port.ac.uk Research interests center on systemic change through disruptive technologies , with special attention to data unification challenges across heterogeneous systems. Academic output trends show emphasis on: 2014 API standardization work 2018 accessibility applications of augmented reality 2004-2008 semantic web foundations 2014 civic technology (bike data logging) As faculty member since at least 2004, he has supervised 3 theses and contributed to multiple peer-reviewed publications.

Matt DennisView profile

Senior Lecturer

• Adaptive Systems
• Persuasive Technology
• Health Informatics
• +3 more

Dr. Matt Dennis is a Senior Lecturer and Associate Head (Student Experience) in the School of Computing at the University of Portsmouth. He holds a BSc (Hons) in Internet Information Systems (University of Aberdeen, 2009) and a PhD in Computer Science (also from University of Aberdeen, 2014), focusing on adapting feedback to learner personality to increase motivation. His research spans adaptive systems, eHealth, and cultural adaptation in educational technology. Education: BSc (Hons) Internet Information Systems, University of Aberdeen (2009) PhD in Computer Science, University of Aberdeen (2014) Research Interests: Adaptive/Persuasive/Motivational systems Cultural differences in feedback expectations Personalized healthcare interventions Teaching: Software Engineering, Usability Engineering, and Complex Problem Solving modules. His recent work includes developing adaptive exercise selection algorithms and tablet-based interventions to improve skin self-examination after melanoma treatment. He collaborates with PhD student Muhammad Sidi-Ali on cultural aspects of educational feedback. Research outputs emphasize personalized reminders, emotional support systems, and cross-cultural adaptation in technology. His articles highlight trends in adaptive systems for education and healthcare, with a focus on learner personality, cultural factors, and health behavior change. Current projects explore how cultural differences shape feedback expectations in education.

• Distributed Systems
• Learning Technologies
• Adaptive Mediation
• +5 more

Rachid Anane is an Assistant Professor at Coventry University's CEES School of Science. He holds a BSc from the University of Manchester, and MSc and PhD degrees from the University of Birmingham, all in Computer Science. His research focuses on distributed systems and adaptive learning technologies, emphasizing frameworks that enhance user engagement through personalized interaction. Education : BSc in Computer Science, University of Manchester, UK MSc in Computer Science, University of Birmingham, UK PhD in Computer Science, University of Birmingham, UK Research Interests : Anane specializes in adaptive mediation systems for e-learning, distributed systems architecture, and quality-of-service (QoS) optimization. His work addresses challenges in information overload, semantic interoperability, and personalized learning experiences. Collaborations span institutions in the UK, China, and Japan, resulting in peer-reviewed publications and conference proceedings. Professional Activities : He serves as a Track Chair for the ACM Symposium on Applied Computing (SAC) and has organized IEEE-sponsored workshops. He contributes to editorial boards of Springer journals and program committees for IEEE/ACM conferences. Awards & Grants : No specific awards are listed, but his extensive publication record and conference roles highlight his scholarly contributions. Labs & Teams : Anane's work involves collaborations in distributed systems and adaptive learning frameworks but no specific lab/team names are mentioned.