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Krzysztof PrzybyszewskiView profile

Professor

• Decision-Making Processes
• Economic Psychology
• Consumer Decision Research
• +3 more

Prof. Krzysztof Przybyszewski is a full-time Professor at the Department of Economic Psychology, Kozminski University (ALK). He holds a PhD in Psychology from the Institute of Psychology at the Polish Academy of Sciences (2002). His academic career began in 1999 at ALK's Center for Economic Psychology and Decision Studies. He teaches across Master's, MBA, postgraduate, and doctoral programs, focusing on decision psychology, economic/financial psychology, and applied social psychology modules like advertising and organizational psychology. Education background: Bachelor's Degree in Journalism and Political Science from University of Warsaw (1995) Master's Degree from the Institute of Philosophy and Sociology, Polish Academy of Sciences (1999) PhD in Psychology from Institute of Psychology, Polish Academy of Sciences (2002) Research focuses on collective/individual decision-making processes, psychology of money, and applied consumer decision research. His work combines cognitive psychology, political science, and behavioral economics. Recent studies explore cybersecurity human factors, democracy erosion, and voting system analysis. Over 20 years of publications demonstrate expertise in framing effects, approval voting dynamics, and euro adoption psychology. Professional affiliations include Polish Association of Social Psychology, European Group for Process Tracing, and Academic Association of Economic Psychology. No specific grants or awards are listed in available texts. He maintains dual roles as academic instructor and independent business consultant, bridging theoretical research with practical applications in consumer behavior and organizational decision-making.

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +3 more

Wei Jia is a Professor at the School of Computer and Information, Hefei University of Technology, China. Their research focuses on artificial intelligence, machine learning, computer vision, and robotics, with contributions to knowledge graphs, biometric systems, and autonomous systems. They have co-authored over 130+ publications in top-tier journals and conferences, including venues like IEEE Transactions, CVPR, and AAAI. Research interests span deep learning techniques, graph neural networks, and optimization for large-scale systems. Notable work includes entity extraction frameworks, safety analysis in engineering systems, and swarm control algorithms for unmanned vehicles. Contributions also extend to data management systems, such as the TierBase key-value store and the OVERLORD data loader for foundation models. Publications highlight interdisciplinary applications in cybersecurity, robotics, and biomedical imaging. Their work often bridges theoretical advancements with practical implementations, addressing challenges in both software and hardware systems. No specific awards or grants are listed in the provided text.

• Fatigue and Fracture Mechanics
• Probabilistic Computational Mechanics
• Risk Assessment and Management
• +7 more

Yongming Liu is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He leads the Prognostic Analysis and Reliability Assessment Laboratory (PARA) and has been at ASU since 2012. His research focuses on fatigue/fracture mechanics, probabilistic computational methods, risk assessment, multi-physics damage modeling, and uncertainty quantification across scales. Key interests include experimental testing, diagnostics/prognostics, and structural durability. Education: Ph.D. Civil Engineering (Vanderbilt University, 2006); M.S. and B.S. Structural Engineering (Tongji University, Shanghai, 2002 and 1999). Research activity includes NSF-funded projects on fatigue prognosis for coastal bridges, DOE-supported studies on creep-fatigue analysis of alloys, and industry collaborations on pipeline diagnostics. Recent work emphasizes AI-driven approaches for structural health monitoring, aerospace safety, and energy systems. Courses taught span mechanics of materials, probabilistic methods in engineering design, and graduate supervision. Key contributions include physics-informed machine learning frameworks, fatigue life prediction under uncertainty, and multi-agent reinforcement learning for air traffic management. His lab develops advanced diagnostics/prognostics tools bridging structural and biomedical applications.

Christian PloderView profile

Lecturer

• Information Systems
• Quality Management
• Blockchain Technology
• +7 more

Christian Ploder is a Lecturer at MCI Management Center Innsbruck, focusing on Information Systems, ERP systems, and e-business. He holds a Dr. in Information Systems from the University of Innsbruck and has over 15 years of professional experience across academia and industry. Education: PhD in Information Systems, University of Innsbruck (2005-2009) Mag. in Information Systems, University of Innsbruck (2000-2005) Research interests include Quality Management Systems, Blockchain in healthcare, IoT applications in education, and gamification in learning. His work bridges theoretical frameworks with practical implementations in ERP systems, data analytics, and digital transformation. Recent articles explore blockchain for electronic health records, AR in engineering education, and machine learning for manufacturing cost estimation. These contributions highlight interdisciplinary approaches combining IT systems with organizational and educational contexts. Awarded for contributions to knowledge management frameworks and ERP integration strategies. Advised over 50 students, focusing on topics like RPA post-implementation, AR in classrooms, and cybersecurity in SMEs. Led projects on digital twin simulations, cloud-based ERP systems, and enterprise risk management. Active in SAP Academic Community and IEEE conferences, emphasizing practical teaching tools for emerging technologies.

David BourrieView profile

Associate Professor

• Big Data
• Database Management
• Diffusion and Dissemination of Innovations
• +3 more

Dr. David Bourrie is an Associate Professor in the Information Systems and Technology Department at the School of Computing, University of South Alabama. He holds a Ph.D. in Business Information Systems from Auburn University (2014) and a B.A. in Hotel and Restaurant Management from Michigan State University (1994). His research focuses on Big Data, database management, diffusion of innovations, and information systems design. He has taught courses such as Management Information Systems and Big Data Analytics, emphasizing practical applications of technology in organizational contexts. Education: Ph.D. in Business Information Systems, Auburn University, 2014 B.A. in Hotel and Restaurant Management, Michigan State University, 1994 His research interests span the adoption of innovative technologies, including studies on mHealth app development, disinformation engagement on social media, and predictive weather modeling. His work bridges technical systems with human behavioral factors, such as linguistic fluency and persuasive design strategies in healthcare technologies. While his articles explore diverse topics—from graph neural networks to cybersecurity in software development—there are no notable scientific awards listed. No advising or grant-related details are provided in the text. Dr. Bourrie’s contributions include contributions to academic curricula, including integrating agile project management techniques and team-based learning methodologies.

Jie CaoView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Dialogue Systems
• +4 more

Dr. Jie Cao is an Assistant Professor at the School of Computer Science, University of Oklahoma, affiliated with the Gallogly College of Engineering and the Data Science and Analytics Institute. He holds a PhD from the University of Utah, and MS/BS degrees from Huazhong University of Science and Technology. His research focuses on Natural Language Processing (NLP), Machine Learning (ML), dialogue systems, structured prediction, and trustworthy AI applications in education and healthcare. Prior to OU, he was a postdoctoral researcher at the NSF AI Institute for Student-AI Teaming (iSAT) at the University of Colorado Boulder, and worked as a research scientist at WeChat AI, Amazon, and in software engineering at Alibaba and Baidu. Education: PhD in Computer Science, University of Utah MS in Computer Science, Huazhong University of Science and Technology BS in Information Security, Huazhong University of Science and Technology Research Interests: Dr. Cao’s work spans multi-party/multimodal dialogue analysis, LLM alignment, efficient structured prediction, and robust AI deployment. Notable projects include AI partners for collaborative classrooms, discourse analysis in psychotherapy, and database workload characterization. His research bridges foundational NLP/ML advancements with interdisciplinary applications in education, healthcare, and material science. Key Achievements: Recipient of the iSAT Trainee Grant (2023) and Alternative Textbook Grant (2025) Lead developer of MatterChat, a multi-modal LLM for material science Published over 20 peer-reviewed papers in top venues like ACL, COLING, and IEEE TVCG Co-instructor for NLP courses integrating LLM and agentic AI materials Labs & Teams: Leads the OUNLP lab at OU, focusing on advancing dialogue systems and trustworthy AI solutions.

• Gamification
• Virtual Reality
• Extended Reality
• +5 more

Nannan Xi is an Associate Professor (tenure track) in the department of Information and Knowledge Management. Her research focuses on gamification, virtual and augmented reality technologies, and their applications in areas such as elderly well-being, consumer behavior, and ethical AI systems. She has collaborated extensively on studies involving the metaverse, service robots, and immersive technologies. Key research areas: Gamification design, extended reality (XR), AI ethics, and sustainable consumption. Notable contributions include experiments on metaverse shopping acceptance, gamification in healthcare, and ethical considerations in AI agents. Her work aligns with UN Sustainable Development Goals related to health and innovation. She has organized academic events such as workshops at the Pacific Asia Conference on Information Systems (2023) and contributed to conferences like ICIS 2024. Publications span journals like Technological Forecasting and Social Change and Internet Research , with a focus on empirical studies and systematic reviews.

Gideon MbiydzenyuyView profile

Senior Lecturer

• Data Analysis
• Machine Learning
• Artificial Intelligence
• +3 more

Gideon Mbiydzenyuy is a Senior Lecturer at the University of Borås, affiliated with the Department of Information Technology under the Faculty of Librarianship, Information, Education and IT. He holds a PhD in Computer Science from Blekinge Institute of Technology and has been at the University of Borås since 2015. His research focuses on applied computer science, particularly data analysis within industrial AI. Key areas include detecting anomalies in industrial networks, optimizing data-driven decision-making, clustering algorithms, and leveraging machine learning (supervised/unsupervised), neural networks, and reinforcement learning. Applications span energy networks, traffic systems, logistics, retail, and healthcare. Recent publications emphasize AI-driven solutions for district heating, marketing optimization, and intelligent transport systems. His work bridges theoretical advancements with practical implementations in industry and policy contexts. Publications highlight contributions to anomaly detection, machine learning applications in energy and transport, and policy studies on road taxation. His research often integrates interdisciplinary approaches, addressing real-world challenges through computational methods.

Shahram RahimiView profile

Professor

• Artificial Intelligence
• Generative AI & LLMs
• Machine Learning
• +7 more

Shahram Rahimi is a Professor and Head of the Department of Computer Science at The University of Alabama, College of Engineering. He also serves as Chief Advisor to the Alabama Cyber Institute, demonstrating leadership in both academic administration and cybersecurity research. His career includes prior roles as the Gloria & Douglas Marchant Endowed Chair Professor and department head at Mississippi State University. Education: Ph.D., Computational Sciences, The University of Southern Mississippi, NASA John C. Stennis Space Center M.S., Computer Science, The University of Southern Mississippi M.S., Computer Engineering Technology, The University of Southern Mississippi M.S., Computer Architecture, Sharif University of Technology B.S., Computer Engineering, Shahid Beheshti University Dr. Rahimi's research is centered on Artificial Intelligence , with deep expertise in Generative AI & LLMs, Machine Learning, Neural Networks, and Quantum Computing . His work bridges theoretical innovation and real-world applications in healthcare, public safety, and policy. He has developed influential systems such as Foresight , a game theory-based decision support tool for foreign policy, and EmTime/Symphony , an AI algorithm optimizing emergency room staffing used in over 1,000 hospitals. His research integrates computational intelligence, multi-agent systems, and predictive analytics to solve complex societal challenges. The analysis of his recent publications reveals a consistent focus on hybrid AI models, uncertainty reasoning (e.g., Z-numbers), predictive modeling in healthcare and transportation, and the integration of game theory with machine learning. His work increasingly explores quantum computing and generative AI, reflecting cutting-edge trends in computer science. These publications span top journals such as IEEE Transactions on Cybernetics and Expert Systems and Applications. Scientific Recognition: EmTime/Symphony recognized as one of the top 10 AI healthcare technologies by HealthTech magazine (2018) Editor-in-Chief of two major AI journals Member of editorial boards for several AI and computing journals Advisor to federal task forces on predictive analytics for policy and defense Dr. Rahimi has been principal investigator on over $25 million in federally and industry-funded research projects, reflecting strong grant acquisition and project leadership. He has advised numerous students and mentored researchers in AI and computational intelligence. He has organized 15 international conferences on computational intelligence and multi-agent systems, fostering global academic collaboration. He leads key initiatives including the Alabama Center for the Advancement of AI and collaborates with multiple research centers such as the Center for Advanced Public Safety and the Center for Sustainable Infrastructure. His lab work integrates interdisciplinary teams focused on intelligent systems, cybersecurity, and AI for social good.

Kenneth Ethan MurphyView profile

Academic

• Operations Research
• Business Analytics
• Operations Management
• +7 more

Kenneth Ethan Murphy is an Assistant Professor of Teaching in the Department of Operations and Decision Technologies at the Paul Merage School of Business, University of California Irvine. He teaches business analytics, operations management, and statistics across executive, graduate, and undergraduate programs. PhD in Operations Research — Carnegie Mellon University MS in Statistics — Oregon State University BA in Mathematics — Reed College Dr. Murphy's research focuses on operations research, business analytics, and organizational effectiveness , with a strong emphasis on technology implementation and data-driven decision-making in academic and organizational settings. His work bridges analytical models with real-world applications in operations and information systems. His recent publications reflect a consistent theme in optimization, scheduling, decision technologies, and analytics in higher education , particularly exploring how data and systems can enhance institutional performance and leadership. The articles span operations research, information systems, and management science, demonstrating interdisciplinary impact. Dr. Murphy has held significant leadership roles, including associate provost and assistant dean, where he advanced process improvement and analytics initiatives to build a data-informed academic culture. While no specific scientific awards are listed, his contributions to research and administration highlight sustained scholarly and institutional impact. Guided university-wide analytics initiatives Directed process improvement programs Advocated for data-driven academic leadership He has advised various institutional strategies and led administrative projects focused on efficiency and innovation. Although student advisees are not listed, his teaching and leadership roles suggest mentorship across academic and administrative domains. Dr. Murphy has been instrumental in integrating business analytics into academic operations, contributing to the development of decision-support frameworks within higher education institutions.

Varun GroverView profile

Professor

• Digital Transformation
• Artificial Intelligence Impacts
• Information Systems Strategy
• +17 more

Varun Grover is Distinguished Professor and the George & Boyce Billingsley Endowed Chair in the Department of Information Systems at the Walton College of Business, University of Arkansas. He previously served as the Lee (Duke Energy) Distinguished Professor at Clemson University and has held academic and leadership roles at the University of South Carolina. He is a globally recognized scholar in Information Systems, with extensive affiliations through workshops, keynotes, and collaborations in Taiwan, India, China, Korea, Denmark, and Australia. His educational background includes a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT), an MBA from Southern Illinois University, and a PhD in Management Information Systems from the University of Pittsburgh. Varun Grover’s research centers on the transformative role of digitalization and artificial intelligence in reshaping organizations, strategies, and individual behavior. His work spans digital strategy, IT-business alignment, platform ecosystems, digital identity, technostress, and the ethical dimensions of AI. He employs diverse methodologies including surveys, experiments, and secondary data analysis, and has made foundational contributions to introspective discourse on the IS field itself. His recent publications explore generative AI, mobile app innovation, digital hoarding, and IT governance. The 15 most recent articles reflect a strong trend toward understanding the societal, organizational, and individual implications of digital technologies—especially AI and mobile platforms. Topics include digital agility, data breach response, free-riding in app ecosystems, and the psychological impacts of IT on users. These works appear in premier journals such as MIS Quarterly , Information Systems Research , and Journal of AIS , underscoring his sustained influence in the field. AIS LEO Award (2020) Thompson Reuters Highly Cited Researcher Stanford Top 6 Scholar in IS (2023) AIS Fellow (2011) Distinguished Alumni Award (IIT and University of Pittsburgh) Multiple teaching excellence awards including MBA Professor of the Year (4x) Stafford Beer Medal for Best Paper in European Journal of Information Systems (2016) Varun Grover has chaired or co-chaired over 45 PhD dissertations and is deeply committed to doctoral education, having led PhD programs at USC, Clemson, and Arkansas. He has served as Senior Editor for MIS Quarterly (two terms), Journal of the AIS (five terms), and currently for MISQ Executive and JAIS . He has also been active in AIS leadership, including roles in ICIS and AMCIS. His research has been supported by extensive grants and recognition, and he has written over 20 advice columns for PhD student success. He leads the ISYS PhD Program at Walton College and continues to mentor the next generation of IS scholars. He is affiliated with research centers and editorial boards globally and has organized numerous workshops and special issues. His work bridges academic rigor with real-world impact, influencing both theory and practice in digital transformation.

• Financial Accounting
• Audit Quality
• Earnings Management
• +7 more

Dr. Hila Fogel-Yaari is an Assistant Professor in the Department of Accounting at the University of Texas at Arlington’s College of Business, a position she has held since September 2020. She previously served as an Assistant Professor at Tulane University’s Freeman School of Business from 2016 to 2020, and was a Visiting Lecturer there in 2015–2016. Education: PhD in Accounting, University of Toronto (2016) MS in Finance and Accounting, Tel Aviv University (2010) MS in Applied Mathematics, City University of New York Baruch College (2006) BS in Electrical Engineering, Tel Aviv University (2004) BS in Physics, Tel Aviv University (2004) LLB in Law, Tel Aviv University (1997) Her research spans financial accounting, audit quality, earnings management, textual analysis in disclosures, innovation, and gender bias in academia and the workplace. She investigates how firms signal long-term focus through innovation-related disclosures and how gender influences participation in and evaluation of non-core job responsibilities. Her work often employs textual analysis of MD&A and other regulatory filings. The 15 most recent publications and presentations reflect a strong focus on disclosure quality, audit practices, innovation signaling, and gender equity. Her work combines rigorous empirical methods with critical insights into organizational behavior and regulatory compliance. She frequently contributes as a discussant and reviewer, indicating deep engagement with the academic community. Scientific Awards: Outstanding Undergraduate Teaching Award, UTA College of Business (2023) Excellence in Reviewing Award, AAA’s Financial Accounting and Reporting Section (2020, 2018, 2017, 2016) Outstanding Discussion Award, AAA’s Financial Accounting and Reporting Section (2020) Dr. Fogel-Yaari advises graduate students, including Roberto Gonzales and Kelly Gebhart, and has served on dissertation and supervisory committees. She has been actively involved in numerous grants and service activities, including the Assurance of Learning (AOL) Task Force, Diversity Council, Scholarship Committee, and technology modernization projects. She is a frequent reviewer for top journals such as The Accounting Review , Accounting and Finance , and Journal of Accounting and Public Policy , and presents her research at major conferences including the American Accounting Association and Hawai'i Accounting Research Conference. She is also involved in leadership and outreach, chairing the AOL Technology Taskforce and participating in PhD student mentorship programs. Her interdisciplinary background in law, engineering, physics, and finance enriches her research perspective in accounting.

Michael T RicharmeView profile

Assistant Clinical Professor

• Choice modeling
• Structural equation modeling
• Qualitative research
• +5 more

Michael T Richarme is a Clinical Assistant Professor in the Marketing department at The University of Texas at Arlington, where he has taught since 2006. With a 32-year corporate marketing career at executive levels, he transitioned to academia after obtaining his PhD in Business Administration - Marketing from UTA in 2006. He and his wife Kathleen co-authored 12 books now in the Library of Congress, focusing on Native American culture in the U.S. Southwest. Education: PhD, Business Administration - Marketing, The University of Texas at Arlington (2006) MBA, Marketing, The University of Texas at Austin (1979) BBA, Business Administration - Marketing, The University of Texas at Austin (1977) His research spans choice modeling, structural equation modeling, qualitative research, and international marketing. Recent publications highlight shareholder value alignment in marketing, service-profit chain applications, brand switching barriers, and financial service consumption habits. His work emphasizes practical tools for marketing research and strategic frameworks for BRIC markets. Scientific Awards: Outstanding Adjunct Instructor, The College of Business Administration, UTA (2008) Richarme has served on dissertation committees for students like Sandy Harris, Lynne Carpenter, David Catlett, and Jin-Woo Kim. He actively participates in academic service, including the College of Business Workload Policy Committee and the UT System Chancellor's Council, while also engaging in creative activities like co-authoring Native American cultural works.

• Internet Computing
• Network-Centric Systems
• Cloud Computing
• +3 more

Professor Marios Dikaiakos is a full-time faculty member at the University of Cyprus (UCY), Department of Informatics. He holds a Ph.D. in Computer Science from Princeton University (1994) and has been at UCY since 1998. His roles include serving as Chair of the Department of Informatics (2010-2014) and Founding Director of the Entrepreneurship Center (2014-2021). He leads the Internet Computing Laboratory, focusing on Network-Centric Systems, Cloud Computing, and Social Media Analysis. His research has resulted in over 160 publications and 22 funded projects. Research interests include edge computing, cloud systems, IoT energy modeling, and polarization detection in news media. He has developed open-source tools like Fogify and BenchPilot for edge computing emulation. Active in academic governance, he has reviewed proposals for EU, national, and Chinese institutions. His work bridges theoretical computer science with practical applications in telemedicine, smart grids, and entrepreneurship ecosystems.

Hendrik HamannView profile

Professor

• Artificial Intelligence
• Machine Learning
• Physics-Based Simulations
• +5 more

Hendrik Hamann is a Professor at Stony Brook University's School of Marine and Atmospheric Sciences and Chief AI Scientist at EBNN, Brookhaven National Laboratory. He holds adjunct roles at the University of Illinois Urbana-Champaign and Yamagata University. His research bridges physical and computational sciences, focusing on AI, machine learning, high-performance computing, and geoinformatics for climate, sustainability, and energy applications. Education: Ph.D. in Physics from the University of Göttingen (1995). Prior Roles: IBM Research (1995–2024), leading initiatives in data center efficiency, geospatial analytics (PAIRS), and climate modeling. Spearheaded AI foundation models for energy grids and climate. Research interests include AI-driven climate forecasting, geospatial data fusion, and sustainable energy systems. His work has led to 180+ patents and transformative technologies like IBM PAIRS and the thermally assisted magnetic recording (HAMR). He has been recognized with the AIP Prize and IBM's Master Inventor title. Awards: 2016 AIP Prize, APS Fellowship, IEEE Senior Member, and IBM Academy of Technology membership. Grants: $20M DOE grant (2024) for methane quantification and multi-million DOE projects in energy systems. Labs/Teams: Led global IBM Research Climate & Sustainability teams (2021–2024) and co-developed geospatial foundation models for weather and earth observation.