جستجوی استاد راهنمای دانشگاهی

Jacek Gwizdka is an Associate Professor and Director of the Information eXperience Lab at the University of Texas at Austin's School of Information (iSchool). His research focuses on human-computer interaction, cognitive psychology applied to information retrieval, and neuro-physiological methods to assess cognitive processes during information search. He holds a PhD in Industrial Engineering from the University of Toronto and has held academic roles since 2005, including visiting appointments at Rutgers University and the University of Toronto. Affiliations: ACM Senior Member, ASIS&T Distinguished Member Key Projects: NeuroIS initiatives, health misinformation research, eye-tracking and EEG studies Research Interests: Cognitive load measurement, implicit assessment of information relevance, and neuro-physiological tools for studying human-information interaction. Active in conference organization (CHIIR, SIGIR) and editorial roles (Interacting with Computers). Recent Awards: Distinguished Fellow of the Kosciuszko Foundation, 2025 h-index=42 (Google Scholar). Grants: Google Faculty Award (2020), UT VPR grant on health search behavior & cognitive impairment. Supervises research in areas like generative AI, EEG-text bridging, and health misinformation correction. Labs/Teams: Information eXperience Lab, collaborations with UT’s Communication Sciences & Nursing departments on health search studies.

• Human-Computer Interaction
• Information Search Processes
• Cognitive Psychology
• +۷ مورد دیگر

Dr. Adriane B. Randolph is a Professor and Executive Director of the BrainLab at Kennesaw State University’s Coles College of Business. Her work bridges neuroscience and information systems, focusing on brain-computer interfaces (BCIs) and their applications in assistive technologies, consumer behavior, and educational tools. Primary Affiliation: Kennesaw State University School: Coles College of Business Department: Information Systems Research interests include: Developing BCIs to assist individuals with locked-in syndrome (e.g., cerebral palsy, ALS) Neuromarketing studies on brand placement and consumer decision-making Exploring neural responses to workplace productivity and video games Designing systems to enhance cognitive engagement in educational settings Recent publications highlight interdisciplinary applications of BCIs in healthcare, education, and cybersecurity. Notably, her 2022 work in the Journal of Information Systems Education outlines a neuro-IS course, while 2020’s SAIS conference paper details IoT integration in BCI systems for locked-in patients. Scientific contributions include: 2020: Best Paper in Track, Southern Association for Information Systems (SAIS) Annual Conference Dr. Randolph mentors students in the BrainLab, fostering collaboration between undergraduate and graduate researchers. Her lab partners with institutions like Georgia Tech and the National ALS Association to advance BCI applications, with a mission to improve quality of life through non-invasive technologies.

• Brain-Computer Interfaces
• Neuromarketing
• Neural Processing
• +۹ مورد دیگر

Prof. Dr. Gernot Müller-Putz is a full professor and currently serves as Dean of the Department for Computer Science and Biomedical Engineering at Graz University of Technology (TU Graz) since October 2023. He is also the head of the Institute of Neural Engineering and its associated Laboratory of Brain-Computer Interfaces. His research focuses on brain-computer interface technology based on EEG and ECoG methodologies, primarily for movement restoration and re-establishing communication. Müller-Putz has been a full professor for semantic data analysis since 2014 and has organized the Graz Brain-Computer Interface Conference for over two decades. ERC Consolidator Grant 'Feel your Reach' (2015) Ludwig-Guttman Award from DMGP (2017) He serves on the Board of Directors of the International Brain-Computer Interface Society and is a founding member and scientific Co-Director of the NeuroIS Society. Throughout his career, he has managed numerous EU-funded international research projects.

• Brain-Computer Interfaces
• EEG and ECoG Research
• Movement Restoration
• +۳ مورد دیگر

Prof. Dr. Henner Gimpel holds the Chair of Digital Management at the University of Hohenheim. He serves as Vice Dean for Research and Knowledge Transfer at the Faculty of Business, Economics and Social Sciences, and heads the Digital Business Management program. He also holds leadership roles at the Fraunhofer FIT's Business Informatics branch and the FIM Research Institute for Information Management, while directing the Digital Leadership Academy. University of Hohenheim - Chair of Digital Management Fraunhofer FIT - Business Informatics Branch FIM Research Institute - Director Digital Leadership Academy - Academic Director Education : Industrial Engineering (Business Administration & Applied Computer Science), Karlsruhe Institute of Technology (KIT) Doctorate in Business Informatics, Behavioral Economics, and Psychology, KIT Research Interests : His work focuses on socio-technical information systems where people, information, and digital technologies interact. Key research areas include artificial/hybrid/collective intelligence, digital health, smart sustainability, digital ethics, and IT adoption. He employs empirical studies, experiments, and design-oriented approaches, with interdisciplinary connections to psychology, computer science, sociology, medicine, and ethics. Publication Trends : Recent articles (2023-2025) span topics like AI-augmented facilitation, digital stress analysis, healthcare collaboration systems, smart energy technologies, and generative AI competencies. They reflect methodological diversity across design science research, Kano analysis, action design research, and empirical experiments. Scientific Awards : Friedrich von Klinggräff Medal Deutsches Aktieninstitut University Competition First Prize Walter-Georg-Waffenschmidt Prize for Business Administration Fugger Prize for Science Multiple Teaching Awards Practical Engagement : Through five years as McKinsey & Company management consultant and collaborations with Allianz, BMW, IBM, Siemens, and university hospitals, he bridges academic research with industry applications in digital transformation. Academic Leadership : He contributes to editorial boards (Electronic Markets) and program committees (ICIS, ECIS, WI), while pioneering cognitive apprenticeship-based teaching methods. His work impacts digital workplace design, healthcare informatics, and sustainable business models.

• Socio-Technical Information Systems
• Digital Transformation
• Human-Computer Interaction
• +۷ مورد دیگر

Stefan Smolnik is a University Professor at the FernUniversität in Hagen since 2013, affiliated with the Faculty of Business Administration and Economics . His academic career includes roles as Track Chair at the Hawaii International Conference on System Sciences (2025), Vice Rector for Research and Digitalization (2022-2025), and Head of the Institute of Research on Information Systems at EBS Business School (2012-2013). Education: Doctorate in Knowledge Management with Topic Maps (2005, University of Paderborn); Diploma in Computer Science (1998, University of Paderborn) Stefan's research focuses on Knowledge Management , Collaboration Systems , eLearning , and the Use and Success of Information Systems . His recent work explores digital health applications, smart city technologies, and AI-driven knowledge flows, with publications analyzing telemedicine adoption, gamified mobility systems, and neurophysiological impacts on digital work. Key trends in his 15 most recent publications (2023-2025) include: Integration of AI and NeuroIS in workplace design Smart city solutions for mobility , waste management , and sustainability Knowledge sharing in healthcare teleconsultations and professional services Maturity models for small/medium smart cities Emotional dimensions in knowledge management research Scientific recognition includes the Best Paper Award at the 4th Conference on Professional Knowledge Management (2007) and frequent participation in top-tier conferences like ICIS and HICSS . His work bridges information systems , organizational behavior , and urban digitalization .

• Knowledge Management
• Collaboration Systems
• Social Software
• +۴ مورد دیگر

Dr. YI LING LIN is an Associate Professor in the Department of Management Information Systems at National Chengchi University, where she has been serving since 2017 (promoted to Associate Professor in 2019). Her research focuses on recommender systems, human-computer interaction, and information systems, with particular expertise in micro-moment recommendation, crowdsourcing, and programming education. Dr. LIN earned her Ph.D. in Information Management from the University of Pittsburgh (2007-2013). Prior to joining National Chengchi University, she served as an Assistant Professor at National Sun Yat-sen University (2014-2017). Her research centers on recommender systems, particularly micro-moment recommendation systems that respond to users' immediate needs. She investigates human-computer interaction, programming education technologies, and e-commerce applications, often combining theoretical frameworks with empirical studies to understand user behavior and improve system design. Her work spans multiple domains including healthcare Q&A forums, programming education, and financial applications. Dr. LIN's publication record demonstrates consistent contributions to top journals and conferences in information systems and human-computer interaction. Her recent work focuses on competitive gamification in recommendation systems, the influence of social relationships and emotions on micro-moment recommendations, and AI-assisted programming education. She has developed frameworks for personalized interaction mechanisms and explored applications in e-commerce, insurance, and streaming retailing. 資深優良教師(10年) (Long-service Excellent Teacher) Multiple teaching excellence awards from National Chengchi University National Science and Technology Council Research Awards 2022 National College Smart Innovation Competition (E-commerce and Financial Technology) 2021 National College Information Application Service Innovation Competition Taiwan Service Science Society Academic Research Award Dr. LIN has been Principal Investigator for numerous research projects, primarily funded by the National Science and Technology Council (MOST). Her current projects focus on micro-moment recommendation systems, digital insurance experiences, and e-commerce optimization. She has led educational innovation projects for programming instruction and maintains strong industry connections through various collaborative projects with financial institutions and technology companies. Dr. LIN is affiliated with the Department of Management Information Systems at National Chengchi University, which houses several research labs including the E-Business Lab, Ambient e-Services Laboratory, and Lab for Electronic Commerce and Service Science. Her research aligns particularly with the E-Business Lab and Lab for Electronic Commerce and Service Science.

• Recommender Systems
• Human-Computer Interaction
• Micro-moment Recommendation
• +۶ مورد دیگر

Natalie Parde is an Associate Professor and Co-Director of Undergraduate Studies in the Department of Computer Science at the University of Illinois Chicago (UIC). She co-directs the UIC Natural Language Processing Laboratory and holds affiliations with the AI.Health4All Center for Health Equity using Machine Learning and Artificial Intelligence as well as the UIC Honors College. Her research focuses on natural language processing with applications in healthcare, multimodal communication, and creative language analysis. Ph.D., Computer Science and Engineering, University of North Texas M.S., Computer Science, University of North Texas B.S., Computer Science, University of North Texas Parde's research spans three primary strands: NLP interfaces for educational technology, health-oriented summarization, and multimodal communication systems. Recent publications highlight advancements in dementia detection through spoken language analysis, empathy prediction in conversational systems, and multimodal emotion classification. Her work frequently addresses healthcare applications of NLP, including mental health assessment and medical self-disclosure detection. Scientific awards include the Dr. Hermann Zemlicka Award for Most Visionary Paper at Gmunden Retreat on NeuroIS 2024. She has advised numerous doctoral students, including Gyeongeun Lee working on empathy detection via figurative language, Shahla Farzana researching dementia detection methods, and Mohammad Arvan investigating reproducibility in NLP evaluations. The UIC NLP Lab under her direction focuses on developing NLP systems that positively impact society through educational technology interfaces and healthcare applications.

• Natural Language Processing
• Interactive Systems
• Multimodality
• +۲ مورد دیگر

Thi Tran is an Assistant Professor of Management Information Systems at Binghamton University's School of Management. Holding a PhD in Information Technology (cybersecurity) from the University of Texas at San Antonio, an MS in Information Technology and Management from the University of Texas at Dallas, and a BS in Business Administration from the University of Economics in Ho Chi Minh City, he specializes in cybersecurity research, misinformation harm mitigation, and behavioral-technical hybrid methodologies. Education: PhD in Information Technology (Cybersecurity) – University of Texas at San Antonio MS in Information Technology and Management – University of Texas at Dallas BS in Business Administration – University of Economics, Ho Chi Minh City His research focuses on cybersecurity issues , particularly misinformation harms during crises, social impacts of cyberattacks, and system designs to combat digital threats like phishing and fake social media accounts. His methodological toolkit combines behavioral surveys, experimental studies, machine learning applications (text mining, sentiment analysis, topic modeling), and NeuroIS (applied neuroscience in information systems). Recent publications address AI-generated misinformation, blockchain applications for fake news detection, and crisis-related digital harms. His work has appeared in journals like the International Journal of Information Management and IEEE Transactions on Professional Communication, with presentations at venues including IEEE Big Data, ICIS, and SKM conferences. Scientific Awards: Outstanding Doctoral Student Paper Award (WISP 2021) National Science Foundation (NSF) Research Grant As an educator, he teaches courses on cybersecurity, AI, IoT, blockchain, and data analytics within management information systems, emphasizing practical applications and emerging technologies. His work bridges technical solutions with human behavior analysis to tackle modern cybersecurity challenges.

• Cybersecurity
• Misinformation Handling Systems
• Social Impacts of Cyberattacks
• +۵ مورد دیگر

Leonardo Banh is a Researcher at the University of Duisburg-Essen within the Faculty of Computer Science and its Chair of Business Information Systems and Software Engineering . M.Sc. in Business Information Systems (University of Duisburg-Essen, 2022) B.Sc. in Business Information Systems (University of Duisburg-Essen, 2020) Semester abroad at Instituto Superior Técnico, Lisbon (2021) His research focuses on Generative AI and its socio-technical implications, particularly in Machine Learning and Deep Learning applications. He explores intersections with NeuroIS , Smart Tourism , and E-commerce Ecosystems , emphasizing sustainability and digital transformation. Recent publications analyze Generative AI in Software Engineering , AI in Music Sentiment Analysis , and AI-Based Sign Language Translation . His work often involves design science research and grounded theory frameworks. Best Paper in Track Award (ICIS 2024) Nominated for Best Paper Award (ICIS 2024) Outstanding Reviewer (ICIS 2024) As advisor, he supervises theses on topics including AI-Based Mental Health Chatbots , Generative AI in HR , and Smart Tourism Applications . He also contributes to the Institute of Computer Science and Information Systems and serves on appointment/habilitation committees.

• Generative AI
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Gero Strobel is an Assistant Professor at the Chair of Business Informatics and Software Engineering, Faculty of Computer Science, University of Duisburg-Essen. His research focuses on intelligent information systems, generative AI, and IoT-enabled smart services with applications in sustainability, healthcare, and industrial transformation. Academic Roles: Assistant Professor (2022–present), Postdoctoral Researcher (2021), Research Assistant (2017–2021) Key Research Areas: Generative AI, Smart Service Systems, E-commerce Ecosystems, Digital Health, Sustainable Business Models His work develops design principles for VR training systems, AI healthcare communication, and smart agriculture architectures. He leads the SOFTEC IoT Innovation Lab and contributes to data ecosystems research as guest editor of Electronic Markets (2024 special issue). Scientific Recognition: 2021 Science Prize of Sparkasse Essen 2021 University of Duisburg-Essen Dissertation Prize Best Paper in Track Award at ICIS 2021 Strobel co-edits the Electronic Markets special issue on data ecosystems (2024) and serves as track chair for data ecosystems at HICSS and AMCIS. His research combines design science methodology with empirical studies across 135+ e-commerce initiatives, 100+ AI startup analyses, and 183 IoT architectures.

• Intelligent Information Systems
• Human-Centered & Generative AI
• Internet of Things (IoT) & Smart Services
• +۴ مورد دیگر

Fred Davis is the Paul Whitfield Horn Professor and Bobby G. Stevenson Chair in Information Technology at Texas Tech University’s Rawls College of Business. He holds a PhD in Management from MIT and a BS in Industrial Engineering from Wayne State University. His research focuses on user acceptance of information technology, neuroIS, and computer-aided decision support systems. Davis is renowned for introducing the Technology Acceptance Model (TAM) and has contributed extensively to understanding technology adoption, cognitive neuroscience in IS, and decision-making processes. His scientific contributions include over 100 publications in top journals like MIS Quarterly and Management Science. Awards include the Bobby G. Stevenson Chair, recognizing his scholarly impact. Davis has held faculty positions at the Universities of Michigan, Minnesota, Maryland, and Arkansas before joining Texas Tech. His current research explores technology addiction, neuroIS applications, and the intersection of cognitive science with information systems. Key themes in his work include TAM evolution, user satisfaction/dissatisfaction dynamics, and the neural mechanisms underlying technology use. He emphasizes interdisciplinary approaches, combining IS theory with neuroscience and behavioral economics to address modern challenges in digital adoption and workplace productivity.

• User Acceptance of Information Technology
• Computer-aided Decision Support
• Neuroscience of Information Systems (NeuroIS)
• +۳ مورد دیگر

Prof. Manfred Reichert is a full professor at the University of Ulm, serving as Director of the Institute of Databases and Information Systems and Dean of Studies at the Faculty of Engineering and Computer Science. He holds dual expertise in Computer Science and Mathematics, with academic leadership roles including chairing examination boards and strategic research initiatives. His interdisciplinary affiliations include co-opted membership in the Faculty of Mathematics and Economic Sciences. Reichert's research focuses on Business Process Management (BPM), IoT-driven processes, service-oriented architectures, and e-health applications. Notable contributions include co-developing the ADEPT process management system and pioneering object-centric process modeling. He has led over 20 international research projects (EU FP7, DFG, Industry) and authored >200 peer-reviewed papers, earning an h-index of 60+ and prestigious awards like the Merckle Forschungspreis. Education: PhD in Computer Science & Mathematics Diploma Leadership: Former associate professor at University of Twente, former director of CTIT research center Service: Conference chair for BPM, CoopIS, EDOC; steering committee member for GI SIG Databases Recent work explores IoT integration in BPM, generative AI for process models, and neuroscience-informed usability studies. His research bridges technical innovation with human-centric design, addressing challenges in process lifecycle management, federated learning, and mobile health interventions. Awards: IFIP TC2 Manfred Paul Award, doIT Software Award Key Projects: BPMN extensions for IoT, data-driven healthcare solutions

• Business Process Management (BPM)
• Service-Oriented Architectures
• E-health
• +۷ مورد دیگر

Ryad Titah is a Professor and Chair of the Department of Information Technologies at HEC Montréal. His academic roles include editorial board memberships (Organization Studies, European Journal of Information Systems) and leadership positions such as Past President of the Administrative Sciences Association of Canada. He holds a Ph.D. in Administration from HEC Montréal, an M.Sc. in Information Technology from École de technologie supérieure (ÉTS), and a Bachelor's in Economics from Université d'Alger. His research expertise spans Digital Cities, AI ethics, Electronic Government, Cybersecurity, and NeuroIS. Recent work explores AI's societal impacts, cloud computing adoption biases, and IT's role in organizational performance. He has published extensively in journals like International Journal of Human-Computer Studies and MIT Sloan Management Review. Ryad supervises PhD and Master’s students, including Zoubeir Tkiouat (PhD 2025) and 7 MSc graduates. He is affiliated with research groups like GReSI, Tech3Lab, and Cyberjustice Technologies. Current projects focus on smart city apps, cybersecurity in public services, and AI ethics in criminal justice.

• Digital Cities
• Societal impacts of artificial intelligence and digital technologies
• Electronic Government
• +۷ مورد دیگر

Valdimar Sigurdsson is a Professor at Reykjavík University, where he serves as the Head of Marketing at the School of Business and the director for the Centre for Marketing and Consumer Psychology. With 127 publications and over 133,000 reads on ResearchGate, he has established himself as a leading researcher in consumer behavior and marketing. Dr. Sigurdsson earned his PhD from Cardiff University. His academic journey has positioned him as a prominent scholar with expertise spanning multiple disciplinary domains including consumer psychology, digital marketing, sustainability, retailing, and health-related consumption behaviors. Professor Sigurdsson's research focuses on consumer behaviour analysis, retailing, digital marketing, health, sustainability and tourism. His work frequently employs cutting-edge methodologies such as eye-tracking, neuro-Information Systems (NeuroIS), and behavioral experiments to understand consumer decision-making processes. His research has significant practical implications for sustainable consumption, digital marketing strategies, and consumer psychology. The Behavior & Technology Lab, which he leads, serves as a hub for innovative research at the intersection of human behavior and technological interfaces. Analysis of his extensive publication record reveals a strong emphasis on sustainability signaling, consumer responses to eco-labels, digital marketing in the metaverse, and the psychological mechanisms behind consumer choices related to health and sustainability. His work increasingly incorporates cross-cultural perspectives, with studies spanning 65 nations and 40 languages, demonstrating methodological rigor through collaborative replication projects and large-scale measurement validation studies. Professor Sigurdsson has built a robust research program through extensive collaboration with scholars across the globe, resulting in numerous high-impact publications in top marketing and psychology journals. His research has been cited over 2,300 times, demonstrating significant influence in his field and practical relevance for businesses seeking to understand consumer behavior in digital and sustainable contexts. As director of the Centre for Marketing and Consumer Psychology and leader of The Behavior & Technology Lab, Professor Sigurdsson oversees a dynamic research environment that bridges theoretical marketing concepts with practical applications in the digital age. His lab focuses on understanding how technology shapes consumer behavior and how businesses can leverage these insights for more effective marketing strategies, particularly in the realms of sustainability and health-conscious consumption.

• Consumer Psychology
• Retailing
• Digital Marketing
• +۴ مورد دیگر

Simon Krohmenn, M.Sc., is a research associate at the Chair of Information Infrastructures at Technical University of Munich. He is also a doctoral researcher in the Helmholtz Information and Data Science School for Health (HIDSS4Health), focusing on gamification and AI training data annotation, particularly in medical image annotation systems.

• Gamification
• AI Training Data Annotation
• Medical Image Annotation
• +۲ مورد دیگر