جست‌وجوی استاد و پژوهشگر

A. Mohammed ABUBAKARمشاهده پروفایل

دانشیار

• Information Systems
• Big Data
• Business Analytics
• +۷ مورد دیگر

A. Mohammed ABUBAKAR is an Associate Professor of Management Information Systems at the School of Business and Social Sciences, Antalya Bilim University. He holds a PhD in Business Administration with a minor in Management Information Systems from Eastern Mediterranean University, Cyprus. His career includes roles as a Research Assistant (2011–2016) and Faculty Member at Aksaray University (2016–2017). Education: Bachelor’s in Information Systems Master’s and PhD in Business Administration (Minor: Management Information Systems), Eastern Mediterranean University Research Interests: His work focuses on information systems, big data, business analytics, knowledge management, applied AI, digital labor platforms, and workplace relations. He has published in top-tier journals like European Journal of Information Systems and Journal of Business Research. His research emphasizes technology’s impact on work dynamics and employee well-being, including topics like techno-stressors, boreout syndrome, and hybrid workplace challenges. Article Trends: Recent publications explore hybrid work effects, AI-driven supply chain resilience, and the interplay between business analytics and π-shaped skills. His work often employs advanced methodologies like SEM and fsQCA to analyze organizational behavior and innovation outcomes. Awards: Recognized in the top 2% of global scientists (Stanford/Elsevier, 2019–2022) Professional Contributions: He co-founded YÖMEGA, an initiative empowering Turkish faculty through professional development. His grants include studies on digital assessment techniques and HR localization impacts. He actively participates in the Association for Information Systems (AIS). Labs/Teams: No specific lab mentioned, but collaborates on projects related to digital workplace innovation and AI-driven business solutions.

• Natural Language Processing
• Health Informatics
• Machine Learning
• +۳ مورد دیگر

Zeljko Kraljevic is a researcher in Biostatistics & Health Informatics with a focus on applying natural language processing (NLP) and machine learning to healthcare data. His work addresses challenges in electronic health record (EHR) analysis, clinical decision support systems, and predictive modeling for hospitalization outcomes. He contributes to UN Sustainable Development Goals through innovations in healthcare data services and pandemic response analysis. Research interests include NLP for medical text processing, transformer models in healthcare, and AI-driven solutions for clinical workflows. Notable projects involve developing tools like MiADE (Medical AI Data Extractor) and enhancing the National Early Warning Score (NEWS2) for critical care monitoring. Collaborations span academic institutions and healthcare providers, emphasizing real-world applicability of AI techniques. Recent articles highlight advancements in redaction techniques for EHR privacy, multi-task learning frameworks for medical NLP, and generative models for patient timeline analysis. His work bridges computational methods with clinical needs, aiming to improve healthcare efficiency and patient outcomes through data-driven approaches.

Bern Jordanمشاهده پروفایل

پژوهشگر

• Accessibility and Inclusive Design
• Human-Computer Interaction
• Assistive Technology
• +۳ مورد دیگر

Bern Jordan is an Assistant Research Scientist at the University of Maryland’s College of Information Studies (INFO). With a Ph.D. in biomedical engineering, his work focuses on accessibility of information and communications technology (ICT), emphasizing cross-disability access to public systems, standards development, and inclusive design. He leads projects like the Maryland Initiative for Digital Accessibility (MIDA) and the Rehabilitation Engineering Research Center on Inclusive ICT (Trace RERC). His expertise includes kiosk accessibility, auto-personalization software, and accessibility training. He collaborates with federal agencies (e.g., FCC, NIH, NIST) and organizations like the Smithsonian and FDIC to advance accessibility policies and technologies. Recent work includes improving at-home test accessibility for the NIH’s RADx Tech initiative and developing tools like FormA11y for PDF remediation. Dr. Jordan has 10 patents in kiosk and touchscreen accessibility, and his research spans 50 years of Trace Center innovations. His articles emphasize user-centric design, inclusive technologies, and bridging gaps between accessibility standards and real-world practices. He advocates for auto-hyper-personalization systems to democratize technology access globally.

Paola Cilloمشاهده پروفایل

دانشیار

• Innovation Management
• Creative Industries
• Big Data Analytics
• +۳ مورد دیگر

Paola Cillo is an Associate Professor at Bocconi University and Associate Dean for Research at SDA Bocconi School of Management. She serves as Director of the Concentration in Luxury Business Management within the Full Time MBA Program. Her academic focus spans creativity, innovation, and data-driven marketing. Education PhD in Business Economics and Management Research Interests Innovation dynamics in creative industries Financial markets' responses to innovation Big data applications in innovation and marketing Fashion industry adaptation to information regimes Consumer-CEO interaction in business model innovation Key Publications Focus on AI-driven innovation, fashion industry dynamics, financial constraints on creativity, and strategic organization frameworks Teaching Technology and Operations Marketing Creativity and Innovation Digital Transformation in Luxury

• Pediatrics
• Obesity Management
• Metabolic Disorders
• +۲ مورد دیگر

Daniel Weghuber is Professor and Department Chair at Paracelsus Medical University's Department of Pediatrics. His research focuses on pediatric obesity management, metabolic disorders, and pharmacotherapy. Research areas include: Anti-obesity medications for youth Neonatal laboratory diagnostics Clinical guideline development Metabolic function in inflammatory bowel disease Publications emphasize evidence-based obesity management, novel therapeutic approaches, and optimization of pediatric care protocols. Recent works address medication efficacy in adolescents and minimally invasive diagnostics. He leads projects on mitochondrial function in IBD and EURAS (epilepsy research). Current research examines climate impacts on migration through machine learning models.

• High-Energy Physics
• Particle Physics
• Proton-Proton Collisions
• +۵ مورد دیگر

Muammer Altan Çakır is a Professor in the Department of Physics Engineering at Istanbul Technical University, actively engaged in high-energy physics research with significant contributions to the CMS Collaboration at CERN. His work focuses on proton-proton collisions, Higgs boson physics, and top quark studies using Large Hadron Collider data. His research interests span experimental particle physics with emphasis on proton-proton collisions , Higgs boson characterization , lepton physics , and transverse momentum analysis . Recent work explores charm baryon production, Drell-Yan processes, and muon identification techniques using advanced multivariate methods in the CMS detector. Analysis of his 15 most recent publications reveals a strong focus on precision measurements in high-energy collisions, particularly in Higgs physics (3 publications), top quark physics (2), and detector optimization (2). His work consistently addresses fundamental questions in the Standard Model through advanced statistical techniques and large-scale data analysis. Doktora sonrası araştırma bursu (2010) Landes Baden Württenberg Doktorarbeit Stipendium (2006) LPC Fall Guest Visitor Faculty (2017) Multiple Performans ödülü awards (2012, 2013, 2015) Professor Çakır has supervised 15 students and leads multiple research projects including GPU-based distributed computing platforms for big data processing, real-time predictive maintenance systems, and deep learning applications for top quark spin correlation studies. His current projects integrate generative AI with domain-specific physics research while developing scalable open-source big data architectures for industrial applications. His laboratory work centers on CMS detector data analysis, with recent focus on online data visualization tools and multivariate techniques for particle identification. Current projects explore GPU-accelerated computing frameworks and generative AI applications for physics-informed design systems.

Mari Carmen Suárez-Figueroaمشاهده پروفایل

دانشیار

• Ontology Engineering
• Semantic Web
• Linked Data
• +۳ مورد دیگر

Mari Carmen Suárez-Figueroa is an Associate Professor at the Artificial Intelligence Department, School of Computer Science, Universidad Politécnica de Madrid (UPM). She is also a senior researcher at the Ontology Engineering Group (OEG). Her research focuses on Ontology Engineering, Semantic Web, and Linked Data, with emphasis on ontology networks, evaluation, and design patterns. She holds a PhD in Artificial Intelligence from UPM (2010) and has been recognized with an Outstanding Award from UPM's Graduate Doctorate Commission. Her work includes contributions to methodologies like the NeOn Framework, tools such as OOPS! for ontology validation, and participation in projects like NeOn, SEEMP, and Ready4SmartCities. She has organized conferences and workshops, including TKE 2012 and WOP 2012. Over 88+ publications span journals like International Journal of Information Technology & Decision Making and Data & Knowledge Engineering . Key achievements include co-editing Ontology Engineering in a Networked World (Springer, 2012) and leading interdisciplinary initiatives on inclusive consumer testing and semantic metadata standards. Ongoing projects address social inclusion via machine learning and educational service-learning programs.

• Data Science
• Artificial Intelligence Explainability
• Web Science
• +۵ مورد دیگر

Marco Brambilla is a Professor at Politecnico di Milano and a Lecturer at Università della Svizzera italiana (USI) . He leads the Data Science Lab at Politecnico di Milano's Department of Electronics, Information and Bioengineering (DEIB) and serves as director of Computer Science and Engineering B.Sc. and M.Sc. curricula . Research focus on data science, AI explainability, web science, crowdsourcing, model-driven development, and social media analytics Co-inventor of the OMG IFML standard and holder of 2 patents on crowdsourcing and multi-domain search Founder of four startups: WebRatio, Fluxedo, Servitly, and Quantia His recent publications explore: Graph-based Retrieval Augmented Generation for energy efficiency Human-AI interaction analysis through live streaming platforms Model-driven approaches for multiexperience AI interfaces Explainable AI with human-in-the-loop validation Scientific contributions include: Best paper awards at international conferences Associate editor role at SIGMOD Records Editorial contributions to the PERISCOPE H2020 project on pandemic impacts He actively participates in European research initiatives such as: TRIGGER project on EU global governance PERISCOPE for pandemic preparedness

Morteza Namvarمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Natural Language Processing
• Large Language Models
• +۷ مورد دیگر

Dr. Morteza Namvar is a Senior Lecturer at The University of Queensland Business School and an Affiliate of both the Centre for the Business and Economics of Health and Centre for Enterprise AI. His work bridges business contexts with advanced computational techniques, focusing on practical applications of artificial intelligence in organizational and healthcare settings. Faculty of Business, Economics and Law - School of Business Centre for the Business and Economics of Health Centre for Enterprise AI - Faculty of Engineering, Architecture and Information Technology Dr. Namvar specializes in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs), with research concentrated in three primary areas: leveraging NLP and LLMs for enhanced theory building in Information Systems research, text feature engineering using advanced language models, and personalization/user experience enhancement through contextual understanding. His work systematically analyzes unstructured text data to develop robust theoretical constructs and improve machine learning model capabilities. His recent publications reveal strong trends in healthcare applications of LLMs, hate speech detection, and cryptocurrency market analysis through social media. The research consistently applies NLP techniques to solve real-world problems across healthcare, finance, and e-commerce domains, with particular emphasis on sociotechnical aspects of technology implementation. Dr. Namvar has successfully secured competitive funding including the prestigious UQ Knowledge Exchange & Translation Fund grant for developing social media monitoring tools for small businesses, and multiple grants from Medical Protection Society Limited for machine learning applications in healthcare systems. 2021-2022: Developing a context-specific social media monitoring tool to empower Australian small business (UQKx&T Fund) 2021: Enhancing Education Development: Analysing Members' Feedback Using Machine Learning Techniques (Medical Protection Society) 2021: Investigating the effective use of data and analytics in Medical Protection Systems (Medical Protection Society) He currently supervises five PhD students working on NLP and LLM applications in healthcare, data privacy regulation, and patient outcomes. His research impacts include leading machine learning projects with industry partners like Medical Protection Society and PA Hospital, where his NLP techniques have helped improve organizational strategies through text data analysis.

Snehasish Banerjeeمشاهده پروفایل

استاد

• Digital Marketing
• Electronic Commerce
• Fake News Analysis
• +۶ مورد دیگر

Snehasish Banerjee is a Professor in Marketing at the School for Business and Society , University of York. He previously held roles as Senior Lecturer and Lecturer in Marketing at the York Management School. His interdisciplinary research bridges technology and human behavior, focusing on digital marketing, fake news, online consumer behavior, and AI applications. He leads the Marketing, International Business and Entrepreneurship (MIBE) group and serves on the editorial board of Internet Research . Education: PhD (Information Studies) and MSc (Information Systems) from Nanyang Technological University, Singapore; B.Tech (Computer Science) from West Bengal University of Technology, India. Research Interests: Authentic vs. fake online reviews Healthcare rumor dynamics AI in decision-making Consumer behavior in e-commerce Human-technology interaction Notable Awards: 2014 Outstanding Paper Award (Journal of Knowledge Management), 2016 Outstanding Contribution in Reviewing Award (Computers in Human Behaviour), and multiple editorial recognitions. Grants & Projects: Principal Investigator of the British Academy-funded project on Older people’s online information consumption (2020–2022) exploring pandemic-era digital behavior. Labs/Teams: Collaborates with interdisciplinary teams on projects like Human-Robot Interaction and Older People’s Online Information Consumption , producing datasets published on UK Data Service and Zenodo.

Daniel Martin Katzمشاهده پروفایل

استاد

• Legal Informatics
• Artificial Intelligence & Law
• Blockchain Technology
• +۵ مورد دیگر

Professor Daniel Martin Katz is a Full-Time Faculty member at Chicago-Kent College of Law, Illinois Institute of Technology, and Director of the Law Lab. He holds a PhD, JD, M.P.P., and B.S., with expertise in applying computational methods to legal systems. His research focuses on Legal Informatics, AI in Law, Blockchain, and Complexity Science. Notable awards include the Fastcase 50 and ABA Journal's Legal Rebels. He co-founded LexPredict and advises legal tech startups. His work bridges law, technology, and innovation, emphasizing data-driven legal practices. Education: PhD (University of Michigan), JD (University of Michigan Law School), M.P.P. (University of Michigan), B.S. (University of Oregon). Research interests include AI ethics, legal analytics, and computational governance. He edits journals like the International Journal of Law and Information Technology and contributes to global legal tech discourse through media appearances and conferences. His articles explore AI's impact on legal assessment (e.g., GPT-4 passing the bar exam), legal complexity analysis, and NLP applications. Awards highlight his transformative role in legal innovation. Advising includes roles at LexPredict and NextLaw Labs. Labs include the Law Lab and collaborations with Stanford CodeX.

Sumit Sarkarمشاهده پروفایل

استاد

• Personalization and Recommendation Systems
• Crowdsourcing
• Sharing Economy
• +۶ مورد دیگر

Sumit Sarkar is the Charles and Nancy Davidson Chair Professor of Information Systems and Director of PhD Programs at the Jindal School of Management, University of Texas at Dallas. He also serves as the Academic Director of the International Center for Decision and Risk Analysis. His research focuses on personalization systems, crowdsourcing, data privacy, and software project management. He holds a PhD from the University of Rochester, an MBA from the Indian Institute of Management Calcutta, and a BTech from the Indian Institute of Technology New Delhi. Professor Sarkar’s research interests span multiple domains including recommendation systems, knowledge management, and the sharing economy. His work emphasizes practical applications such as privacy-preserving data sharing, optimal contest design for crowdsourcing platforms, and strategic pricing in digital markets. Notable contributions include frameworks for hiding sensitive association rules and methodologies for evaluating online review credibility. Education: PhD, University of Rochester, 1991 MBA, Indian Institute of Management Calcutta, 1982 BTech, Indian Institute of Technology New Delhi, 1979 His awards include the AIS Fellowship (2022), INFORMS President’s Service Award (2021), and the Davidson Chair appointment (2011–present). He has held leadership roles in professional organizations such as the Workshop on Information Technology and Systems and served on editorial boards of journals like MIS Quarterly and Management Science . Professor Sarkar’s work bridges theory and practice, addressing challenges in information systems through interdisciplinary approaches. His current projects explore AI-driven counterfactual explanations, competitive dynamics in search advertising, and the ethical implications of recommendation systems.

• Organizational Behavior
• Digitalization of Work
• Multiple Team Membership
• +۳ مورد دیگر

Junjie Wei is an Assistant Professor at Tilburg University, affiliated with the Tilburg School of Social and Behavioral Sciences and the Department of Organization Studies. He holds a PhD in Organizational Behavior from Zhejiang University. His research focuses on digital technologies' impact on work experiences, team efficacy, and new organizational forms. Key interests include multiple team membership, temporary groups, gig workers, and platform labor dynamics. He employs mixed methods, including field surveys and experiments, and uses tools like Stata, Mplus, and SQL for statistical analysis. Education: PhD in Organizational Behavior (Zhejiang University) Dr. Wei's research explores how digital platforms, algorithms, and AI reshape work environments. Recent studies examine content creation strategies on platforms, the psychological effects of digital extended availability, and boundary spanning in organizations. He also investigates how novelty and familiarity influence creativity adoption in digital ecosystems. His work bridges organizational behavior and digitalization, addressing challenges in modern work structures and team dynamics. Teaching responsibilities include courses on Organizations and Groups, Organizational Behavior, and Organization Development at the Research Master level. He emphasizes practical applications of theoretical concepts in real-world organizational settings. Dr. Wei’s publications span peer-reviewed journals and conference proceedings, with a focus on themes like team coordination, digital work environments, and leadership behavior. His research contributes to understanding how organizations adapt to technological advancements and evolving workforce dynamics.

• Management Accounting
• Accounting Information Systems
• Digitization and Visualization
• +۳ مورد دیگر

Prof. Dennis Fehrenbacher is an Associate Professor of Management Accounting at the University of St. Gallen (HSG), Switzerland, where he also serves as Director. He previously held roles at Monash University, Australia, and Siemens Ltd., Dublin. His expertise spans Management Accounting, Accounting Information Systems, and Enterprise Risk Management. He has been recognized for his teaching excellence, including the Innovation in Teaching and Learning Award and Dean’s Commendation. His research focuses on digitization, sustainability accounting, and behavioral aspects of managerial decisions. Education: PhD: University of Stuttgart, Germany MSc: European School of Business, Germany BSc: Dublin City University, Ireland Research Interests: His work explores how technology transforms accounting practices, including AI in budgeting, risk management frameworks, and performance evaluation systems. Recent trends in his publications highlight applications of generative AI, digital visualization tools, and ethical considerations in automated decision-making. Awards & Recognition: Innovation in Teaching (Monash University) Editor-in-Chief Commendation (Journal Decision Support Systems) Best Paper Award (AFAANZ Management Accounting Stream) Professional Activities: As an active researcher, he has presented keynote lectures at institutions like WU Wien and University of Melbourne. He serves on ISO risk management committees and editorial boards of journals like Decision Support Systems and Behavioral Research in Accounting . Labs & Collaborations: Involved in interdisciplinary projects on enterprise risk management and digital transformation initiatives at HSG. His work frequently intersects with industry partners through consulting roles and standardization efforts.

Fabian Braesemannمشاهده پروفایل

پژوهشگر

• Complexity Economics
• Complex Systems
• Network Science
• +۷ مورد دیگر

Dr. Fabian Braesemann is a Departmental Research Lecturer in AI & Work at the Oxford Internet Institute, University of Oxford, and an Associate Faculty member at the Complexity Science Hub. He is also an Associated Researcher at the Einstein Center Digital Future in Berlin and Managing Director and Co-Founder of DWG Data Science Company. Departmental Research Lecturer, Oxford Internet Institute (2022–present) Research Associate, OII (2019–2022) Data Scientist, OII (2017–2019) PhD, Vienna University of Economics and Business Studies in Economics, Berlin, Warsaw, Vienna His research focuses on complexity economics and the application of network and data science to understand startup ecosystems, labor markets, platform economies, housing markets, and legal networks. He leads the Science of Startups Initiative, which aims to identify evidence-based drivers of startup success and promote innovation through scientific entrepreneurship workshops. His work emphasizes the importance of complex systems thinking in public and policy discourse. The recent publications highlight a strong trend in analyzing the societal and economic impacts of AI, remote work, and digital platforms. His research spans behavioral economics, data mining, and network analysis, with applications in real estate, tourism, and global labor markets. Key themes include polarization, trust, innovation, and digital transformation. Dr. Braesemann actively engages with policymakers and the public through media, opinion pieces, and public events, advocating for data-driven solutions to global challenges. Winner and Losers of Generative AI in Freelance Markets (2025) Impact of Founder Personalities on Startup Success (2023) Global Polarisation of Remote Work (2022) CoRisk-Index for Industry Risk during Pandemic (2022) He advises on innovation and entrepreneurship through the Science of Startups Initiative and collaborates with institutions, incubators, and innovation offices to help researchers launch spin-out companies. No formal grant details are listed, but his projects are active and widely disseminated. He is involved in multiple research groups and public outreach efforts, including podcasts and media appearances. Dr. Braesemann leads the Science of Startups Initiative and collaborates with the Digital Economic Security Lab and other research groups at the OII. He also maintains strong ties with research institutions in Germany and Austria.