جست‌وجوی استاد و پژوهشگر

Wenyi Wangمشاهده پروفایل

استاد

• Cancer Genomics
• Bioinformatics
• Machine Learning in Healthcare
• +۵ مورد دیگر

Dr. Wenyi Wang is a Professor in the Department of Bioinformatics and Computational Biology at The University of Texas MD Anderson Cancer Center. She leads the Statistical Bioinformatics Lab, focusing on advancing computational methods for cancer genomics, transcriptomics, and risk modeling. Her work integrates statistical rigor and AI to address challenges in understanding tumor heterogeneity, cancer evolution, and clinical translation. She holds adjunct professorships at Rice University and Texas A&M University. Research Interests: Multi-omic deconvolution, tumor microenvironment dynamics, cancer risk prediction using Bayesian and machine learning models, and development of tools for mutation calling (e.g., MuSE, DeMixT). Her lab’s current directions include DNA–RNA dynamics in cancer and spatial transcriptomics to map tumor architectures. Publications: Dr. Wang’s recent work includes high-impact studies on deconvolution methods (e.g., DeMixSC), TP53 mutation annotation, and clinical risk prediction models. Her lab’s tools like CliPP and DeMixNB advance precision medicine by enabling accurate analysis of tumor evolution and heterogeneity. Awards: While personal awards are not explicitly listed, her research has garnered institutional recognition, including inclusion on MD Anderson’s Wall of Science for contributions to cancer discovery. Grants and Collaborations: Collaborates with clinicians and experimental biologists to translate computational insights into clinical practice. Her lab trains students across interdisciplinary programs, emphasizing training in quantitative sciences and translational research. Labs/Teams: The Statistical Bioinformatics Lab fosters a community dedicated to bridging bioinformatics and clinical oncology, with ongoing projects supported by grants and collaborations across institutions.

• Digital Games Design
• Game Theory
• Narrative in Games
• +۴ مورد دیگر

Dr. Douglas Brown serves as Dean of the Faculty of Screen, Technology & Performance at Falmouth University. Previously employed by Square-Enix on high-profile titles like Final Fantasy XII, he transitioned to academia to shape games education. He holds a BA in English from Oxford University, MA and PhD in Digital Games from Brunel University. His research focuses on narrative in games, suspension of disbelief, and transmedia storytelling, with a current book project analyzing Metal Gear Solid series. He teaches game design and theory, emphasizing entrepreneurship and Cornwall's indie game development potential. Education: Bachelor of Arts (BA) in English, Oxford University (2005) Master of Arts (MA) in Digital Games Theory & Design, Brunel University (2007) Doctor of Philosophy (PhD) in Digital Games, Brunel University (2012) Research Interests: Game narrative structures and player engagement Suspension of disbelief mechanics in AAA titles Transmedia adaptation and franchise synergy Games as artistic and cultural mediums Teaching and Curriculum Development: BA(Hons) Digital Games MA Digital Games Computing for Games BSc(Hons) Game Art and Game Development programs Industry Engagement: Consultant on UK government game content regulation Networked with games industry leaders and academics

Annika Ehlersمشاهده پروفایل

پژوهشگر

• Family Business
• Entrepreneurship
• Media Management
• +۳ مورد دیگر

Annika Ehlers is a PhD Candidate at the Centre for Family Entrepreneurship and Ownership (CeFEO) within the Jönköping International Business School at Jönköping University. Currently on leave of absence, she maintains active research engagement with contact details including email annika.ehlers@ju.se and office room B6061C. Her academic profile bridges family business dynamics and digital innovation, reflecting CeFEO's mission to advance knowledge in entrepreneurial ownership structures. Her research spans family business strategy , media digital transformation , and location-based services across tourism and journalism contexts. Key interests include strategic implementation differences in family firms, job seeker motivations toward family employers, and technological opportunity recognition in regional media. This interdisciplinary focus reveals consistent patterns in organizational behavior during digital disruption, particularly examining how legacy media organizations adopt localization technologies and how family enterprises navigate strategic decision-making. Analysis of her publication trajectory shows evolving emphasis from foundational media management (2013-2017) toward specialized family business applications (2020-2025). Recent work demonstrates sophisticated integration of consumer behavior theory with practical technology implementation, especially in location-based services for tourism and journalism. Her 2025 strategy implementation framework for family firms represents a significant theoretical contribution addressing the 'implementation gap' unique to family enterprises. As part of CeFEO's research ecosystem, Ehlers contributes to JIBS's AACSB/EQUIS-accredited environment through collaborative projects examining ownership dynamics in entrepreneurial contexts. Her work supports the center's strategic focus on sustainable family enterprise development while addressing contemporary challenges in digital media transformation.

Simon Harperمشاهده پروفایل

استاد

• Human Computer Interaction
• Web Accessibility
• Digital Health
• +۴ مورد دیگر

Simon Harper is a Professor of Human Computer Systems at the University of Manchester, leading the Web Ergonomics Lab. His research focuses on web accessibility, human-computer interaction, and healthcare technology, with a particular emphasis on disabilities like visual impairment. He has pioneered initiatives such as the Web4All conference series and serves on steering committees for major conferences like ACM HT and ASSETS. Harper has secured over £1.45M in grants since 2007 and holds an h-index of 20. His work spans medical technology innovations (e.g., HYPO-CHEAT hypoglycemia reduction system), accessibility evaluation methods (OPTIMAL-EM tool), and environmental monitoring via citizen science. He has received prestigious awards including the ACM Doug Engelbart Prize (2000) and Best Paper awards at W4A. Harper's academic contributions include over 140 publications, with key areas in diabetes management systems, Parkinson’s disease monitoring via smartphone data, and web accessibility evaluation methodologies. His teaching integrates cutting-edge research into professional computing education, emphasizing real-world industry practices. He is actively involved in standards bodies like the W3C Web Accessibility Initiative and serves on editorial boards for journals such as ACM Transactions on Accessible Computing. Research Groups: Information Management, Data Science Institute, Web Ergonomics Lab Professional Roles: Chair of ACM SIG Hypertext, RCUK EPSRC Inclusion Cluster Expert Lab Focus: Developing computational models for human behavior in digital environments

Carla Teixeira Lopesمشاهده پروفایل

دانشیار

• Information Retrieval
• Human-Computer Interaction
• Health Informatics
• +۴ مورد دیگر

Carla Teixeira Lopes is an Associate Professor in the Department of Informatics Engineering at the Faculty of Engineering, University of Porto (FEUP), and a Senior Researcher at the Institute for Systems and Computer Engineering, Technology and Science (INESC TEC). Her career spans academic and research roles, blending expertise in information retrieval with human-computer interaction to enhance digital accessibility. Ph.D. in Informatics Engineering (2013), FEUP M.Sc. in Information Management (2005), FEUP B.Sc. in Informatics Engineering and Computing (1999), FEUP Her research focuses on improving online health information retrieval and leveraging linked data for cultural heritage preservation. She develops tools to optimize search behavior, readability assessment, and semantic archival systems. Recent work includes applications of large language models (e.g., Llama 3, GPT) for text simplification and entity linking. Carla’s publications reflect interdisciplinary trends in Natural language processing Health informatics Linked data architectures Archival modernization Image metadata frameworks She contributes to digital library practices and gender balance studies in informatics academia. As a Senior Researcher at INESC TEC, she bridges academic and applied research, emphasizing user-centric design and data interoperability. Her email is ctl@fe.up.pt .

Clemens Jarnachمشاهده پروفایل

مربی

• Computational Social Science
• Social Networks
• Political Polarization
• +۷ مورد دیگر

Clemens Jarnach is a Tutor in Sociology and Politics at the University of Oxford , affiliated with Green Templeton College . His work bridges computational social science and political sociology , focusing on public opinion formation , electoral behavior , and media effects in contexts like political polarization , Brexit , and climate politics . PhD in Sociology (University of Oxford) BSc in Business Studies (City, University of London) MSc in Sociology (University of Oxford) His research employs quantitative methods such as network analysis , machine learning , and causal inference via quasi-experimental designs . Recent projects analyze how digital trace data and social networks shape political identities and voting behavior , including studies on echo chambers and media consumption during elections. Key blog articles (2023-2025) highlight interdisciplinary explorations, from AI watermarks to Markdown styling , reflecting his technical expertise. Collaborations with Giving Evidence and Caroline Fiennes include high-profile analyses of Royal patronage effects and charity revenue dynamics . Teaching : Sociological Theory, Radical Social Theory, Political Sociology for undergraduates in PPE, History, and Politics Technical Skills : R programming, statistical modeling, digital trace data analysis

Michael Schoberمشاهده پروفایل

استاد

• Psychology
• Linguistics
• Human-Computer Interaction
• +۵ مورد دیگر

Michael Schober is a Professor of Psychology at The New School and Senior Vice Provost for Faculty Affairs. He holds a PhD from Stanford University (1990) and a Sc.B. from Brown University (1986). His research bridges psychology, linguistics, human-computer interaction, music, and design, focusing on coordinated action, cognitive processes, and technology-mediated collaboration. He previously served as Dean of the New School for Social Research (2006–2013) and as editor of Discourse Processes (2005–2015). Major research themes include survey methodology innovations, jazz improvisation coordination, virtual collaboration interfaces, and audience-performer dynamics. He co-developed influential frameworks for analyzing conceptual misalignment in survey interactions and received the 2013 Warren J. Mitofsky Innovators Award for advancing survey research methods. His work often involves interdisciplinary collaborations, such as with Frederick G. Conrad at the University of Michigan. Teaching spans graduate/undergraduate courses in psycholinguistics, research methods, and psychology of music. Current roles include overseeing faculty affairs and guiding institutional academic strategy. His portfolio http://www.mfschober.net showcases ongoing projects in music cognition and technology-enhanced communication.

Shyh Wei Tengمشاهده پروفایل

دانشیار

• Image Processing
• Machine Learning
• Bioinformatics
• +۳ مورد دیگر

Assoc Prof Shyh Wei Teng is an Associate Professor and Deputy Dean at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). He holds a Bachelor of Computing (First-class Honours) and PhD in Information Technology from Monash University (2004), and a Graduate Certificate in Higher Education (2008). His research focuses on image processing, machine learning, bioinformatics, and computer vision, with notable contributions to LiDAR-based building extraction, SIFT algorithm optimization, and multimodal image registration. He has secured significant grants, including an Australian Research Council (ARC) Discovery Project (2013). Prof Teng has supervised numerous PhD and master’s students, contributing to advancements in image retrieval, clustering algorithms, and biomedical applications. His work has been published in top-tier journals like Pattern Recognition and Neurocomputing , and he actively reviews for IEEE conferences. He taught courses in database systems, project management, and systems analysis, receiving teaching and community engagement nominations. Research interests span computational techniques for medical imaging, contour-based corner detection, and machine learning applications in remote sensing. His labs and collaborations include projects on augmented reality for education and ecological data analysis.

• Molecular Biophysics
• Supramolecular Chemistry
• Nanobiomimetics
• +۴ مورد دیگر

Angel Piñeiro Guillén is a Professor at the University of Santiago de Compostela, affiliated with the Department of Applied Physics within the Higher Polytechnic School of Engineering. His research focuses on supramolecular systems, nanobiomimetics, and molecular biophysics, with active involvement in the SupraNanoBioMol research group. He earned his doctorate from the University of Santiago de Compostela in 2001 with a thesis on thermophysical models in liquid mixtures. His research interests span cyclodextrin chemistry, membrane dynamics, molecular simulations, and drug design. Key contributions include the development of computational tools like the AFFINImeter software for molecular recognition analysis, and the CYCLOPEp Builder platform for cyclic peptide research. He has also explored post-COVID-19 pathophysiology, lipidomics, and the application of quantum computing to biophysical simulations. His articles emphasize interdisciplinary approaches, combining experimental biophysics with computational modeling. Recent work addresses drug delivery systems, peptide-membrane interactions, and therapeutic strategies against atherosclerosis using cyclodextrin dimers. His publications also highlight innovations in AI-driven drug design and data-driven biomolecular analysis through platforms like the Overlay databank. Prof. Piñeiro Guillén collaborates with multiple research groups, including the Group of Soft Matter and Molecular Biophysics (MBBM) and the Group of Biophysics and Interfaces (GBI). His lab's work bridges fundamental science and translational applications, aiming to advance targeted therapies and diagnostic tools.

Minas Kastanakisمشاهده پروفایل

استاد

• Luxury Consumption Management
• Cross-Cultural Consumer Behavior
• Psychoanalysis and Consumerism
• +۳ مورد دیگر

Minas N. Kastanakis is a Professor of Marketing and Director of Research at ESCP Business School's London campus. He holds a PhD in Management (Cass Business School), an MBA with Distinction (University of London), and a Law Degree (LLB, University of Athens). His research focuses on luxury consumption, cross-cultural consumer behavior, and the intersection of psychoanalysis with consumerism and ethics. He serves as Editor-in-Chief of the European Management Journal and has led the Happiness & Management Research Centre, exploring drivers of happiness in organizational contexts. His accolades include multiple Best Conference Paper Awards. With extensive industry experience in luxury sectors (e.g., L’Oreal, Richemont Group) and governmental consulting across Europe and Asia, he bridges academic theory with practical management challenges. His editorial leadership includes roles at the European Management Journal and Journal of Business Research. Research interests extend to personality signaling, cultural influences on consumption, and ethical decision-making in family firms. Notable contributions include conceptual frameworks on platform dynamics and revenue models in heterogeneous markets. His work emphasizes societal impact through innovations in user engagement and organizational ambidexterity. Awarded Best Conference Paper Awards for impactful research, he advises global corporations and governmental bodies. He actively contributes to doctoral education and is a qualified Barrister, integrating legal perspectives into management studies. His Happiness & Management Research Centre explores well-being in organizational contexts, reflecting his holistic approach to business leadership.

Hai Wangمشاهده پروفایل

استاد

• Big Data
• Business Analytics
• Business Intelligence
• +۵ مورد دیگر

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 Smithمشاهده پروفایل

استاد

• 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 Parigiمشاهده پروفایل

دانشیار

• Structural Engineering
• Sustainable Construction
• Timber Reuse
• +۵ مورد دیگر

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 Sanadمشاهده پروفایل

پژوهشگر

• data-driven decision-making
• human-machine collaborative rationality
• hybrid intelligence
• +۹ مورد دیگر

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 Sunمشاهده پروفایل

استادیار

• Communication Studies
• Social Media Analysis
• Health Communication
• +۳ مورد دیگر

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.