جست‌وجوی استاد و پژوهشگر

Jinhua Zhaoمشاهده پروفایل

استاد

• Urban Mobility Systems
• Behavioral Science in Transportation
• Artificial Intelligence in Urban Planning
• +۷ مورد دیگر

Jinhua Zhao is a Professor of Cities and Transportation at the Massachusetts Institute of Technology (MIT) , with affiliations in the Department of Urban Studies and Planning, Civil and Environmental Engineering, and the Institute for Data, Systems, and Society. He founded the MIT Mobility Initiative and directs the JTL Urban Mobility Lab and Transit Lab , fostering global collaborations with transportation agencies. Key research areas: Behavioral science in mobility, AI applications for urban systems, sustainable transportation design Labs/Initiatives: MIT Mobility Initiative (2020-present), Transit Lab (2014-present), JTL Urban Mobility Lab (2013-present) Research Trends : His 15 most recent publications focus on autonomous vehicles, AI in public transit, remote work impacts, and equity in mobility. Keywords span Transportation Safety , Machine Learning , Urban Policy , while sub-fields include AV crash analysis , Travel demand modeling , and Algorithmic fairness . Scientific Awards : MIT Committed to Caring Award (2018), MIT Excellence in Teaching Award (2009, 2006) He also leads the Singapore-MIT collaboration Mens, Manus and Machina (M3S) , exploring AI's impact on human capital and urban economic growth, while advocating for family bonds through collaborative research with teens.

János Tóthمشاهده پروفایل

استادیار مدعو

• Ensemble Systems Optimization
• Big Data Analytics
• Machine Learning
• +۳ مورد دیگر

Dr. János Tóth is an Adjunct Assistant Professor at the Department of Data Science and Visualization within the Faculty of Informatics at the University of Debrecen. His research focuses on optimization of ensemble systems and big data analytics. Institution: University of Debrecen School: Faculty of Informatics Department: Data Science and Visualization Rank: Adjunct Assistant Professor Email: toth.janos@inf.unideb.hu Research Interests: Dr. Tóth specializes in optimizing ensemble systems for medical image analysis and big data processing. His work spans: Parameter optimization techniques for ensemble models Integration of classical image processing with deep learning Medical data visualization solutions Applications in diabetic retinopathy detection Handling unstructured Hungarian medical reports Cloud-based machine learning pipelines Publication Trends: Over the past decade, Dr. Tóth's research has shown consistent focus on medical image analysis (particularly fundus and Pap smear imaging) combined with ensemble learning approaches. His work includes algorithm optimization (2014-2022), data visualization techniques (2012-2024), and natural language processing for Hungarian medical reports (2024). Recent publications (2024) demonstrate continued innovation in machine learning applications for both healthcare and business domains.

James R. Eaganمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Explainable AI
• Data Analysis
• +۳ مورد دیگر

James R. Eagan is an Associate Professor at Télécom Paris , part of Institut Polytechnique de Paris , and holds a Visiting Professor position at the University of Colorado, Boulder in the College of Media, Communication & Information. He leads the DIVA Lab (Data, Intelligence, Visualization, and Applications) within the Computer Science & Networking Department. Currently on sabbatical (2024–25 academic year) at CU Boulder, his research bridges Human-Computer Interaction, Explainable AI (XAI), and computational media design.

Agaraoli Aravazhiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Healthcare Operations Management
• Predictive Analytics
• +۳ مورد دیگر

Agaraoli Aravazhi is a Scientific Staff member at the Logistics Department of Molde University College - Specialized University in Logistics, specializing in AI applications for healthcare and logistics systems. He holds a Bachelor of Technology in Mechanical Engineering from Amrita Vishwa Vidyapeetham University and a Master of Science in Engineering Logistics from Molde University College. Education : B.Tech (Mechanical Engineering), MSc (Engineering Logistics) Research Groups : Center for Healthcare Operations Management, ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), Digitization for Sustainability His research focuses on AI-driven hospital production processes , predictive analytics for healthcare operations , and logistics optimization . He has contributed to studies on patient treatment process monitoring, surgical case volume forecasting, and inventory management in hospitals. The scientific publications highlight his work in applying hybrid machine learning models to healthcare challenges, developing connectivity metrics for transportation systems, and exploring blockchain applications for health records. While no formal awards are listed, his research involves collaborations across multiple disciplines including medicine, logistics, and data science. Additional contributions include teaching SAP best practices for digital workforce preparation and text mining applications for extracting insights from hospital administrative documents. He is actively involved in the Center for Healthcare Operations Management, focusing on transforming clinical workflows through technology.

Chandadevi Giriمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Fashion Retailing
• +۳ مورد دیگر

Chandadevi Giri is a Researcher at the University of Borås within the Faculty of Textiles, Engineering and Business , specifically affiliated with the Department of Engineering . She specializes in applying data-driven artificial intelligence techniques to challenges in the fashion and apparel retail industry. Email: chandadevi.giri@hb.se Research Interests: Her work focuses on Artificial Intelligence , Demand Forecasting , Fashion Retailing , and Consumer Analytics . She develops advanced models that integrate historical sales data with product image features to predict market trends and optimize retail operations. Publication Trends: Over the last 6 years, Chandadevi's research has evolved to incorporate Deep Learning , Genetic Algorithms , and Game Theory for supply chain optimization. Her early work concentrated on Neural Network Regression for sales forecasting, while recent studies have expanded to Resource Allocation and Business Intelligence applications in fashion retail.

Viswanath Venkateshمشاهده پروفایل

استاد

• Technology diffusion in organizations and society
• Enterprise system implementations
• Healthcare information technology
• +۷ مورد دیگر

Dr. Viswanath Venkatesh is a Professor and Verizon Chair of Business Information Technology at the Pamplin College of Business, Virginia Tech , with affiliate faculty status at Virginia Tech India . He has directed the part-time Executive PhD Program and led curriculum redesigns in Information Systems programs at multiple institutions. PhD from University of Minnesota Over $10M research funding from NSF, DOT, and others Collaborations across 11+ countries in technology diffusion studies His research spans technology adoption theory (original work on TAM/UTAUT), enterprise system impacts , healthcare IT , and digital poverty alleviation . Recent work examines deviant technology use , AI adoption , and cyberdeviance through mixed-method designs integrating qualitative and quantitative approaches. Key article trends reveal: Focus on affordance theory and polynomial modeling Integration of machine learning with behavioral analytics Global scope across China, India, Malaysia, and US Methodological innovation in multimethod research and longitudinal field studies His students lead research in: Blockchain for financial inclusion (India) Agile software development impacts (2015-2021) Cross-cultural privacy perceptions (Malaysia field studies)

Andy Neelyمشاهده پروفایل

استاد

• Manufacturing Strategy
• Performance Measurement Systems
• Digital Transformation
• +۳ مورد دیگر

Andy Neely is Professor of Manufacturing and Pro-Vice-Chancellor for Enterprise and Business Relations at the University of Cambridge, where he leads strategic collaborations between academia and industry. He has over a decade of experience at the Institute for Manufacturing (IfM) and previously served as Head of IfM. His expertise includes helping organizations align key performance indicators (KPIs) with strategic goals, developing manufacturing strategies, and innovating data-driven business models. BEng and PhD in Manufacturing Engineering Elected Fellow of the Royal Academy of Engineering (2019) Appointed OBE in 2020 for services to manufacturing and business Neely’s research focuses on digital transformation, performance measurement systems, and service business model innovation. He has pioneered frameworks for decoupling organizational pressures, integrating AI into customer experience analytics, and optimizing pandemic response protocols. His work spans industries from construction to healthcare, emphasizing practical applications of big data and Bayesian neural networks. His recent publications highlight trends in outcome-based contracts, digital twin technology, and servitization challenges. Neely advocates for collaborative performance metrics and co-creation in living labs, balancing technical and strategic dimensions of manufacturing. Notably, he established the Cambridge Service Alliance to bridge academic and industrial innovation. Fellow of the Royal Academy of Engineering (2019) OBE (2020)

Ayman El Mesalamiمشاهده پروفایل

مدرس ارشد

• Computer Science
• Image Processing
• Cybersecurity
• +۷ مورد دیگر

Ayman El Mesalami is a Master Lecturer & University Distinguished Teacher in the Department of Computer Science at Old Dominion University (ODU) , where he also serves as the Undergraduate Program Director . His career spans multiple institutions in the U.S. and Canada, with a focus on undergraduate education and Raspberry Pi-based projects to enhance learning in engineering and computer science. Ph.D. in Electrical and Computer Engineering from Kansas State University (2004) Dr. El Mesalami’s research bridges practical hardware-software integration and pedagogical innovation , particularly through low-cost, hands-on projects. His work includes applications in image processing , cybersecurity , IoT systems , and student-driven research . He has mentored numerous award-winning undergraduate projects, including Raspberry Pi clusters , flood detection systems , and medical diagnostics . His publications highlight the impact of Raspberry Pi in education , color restoration techniques , and parallel computing pedagogy . Recent projects explore AI in retro gaming , voice-activated assistants , and healthcare technology for visually impaired individuals. University Distinguished Teacher, ODU Teaching with Technology Award, ODU Best Teaching Award, ODU College of Sciences Faculty Innovator Grant, ODU Dr. El Mesalami actively advises student organizations like the Association for Computing Machinery (ACM) and Muslim Students Association at ODU. He has contributed to ABET accreditation and serves on curriculum and strategic planning committees.

Dale Gomezمشاهده پروفایل

عضو هیئت علمی

• Hospitality Information Technologies
• Systems Administration
• Application Implementation
• +۳ مورد دیگر

Dale Gomez is an Associate Teaching Professor and Director of Information & Instructional Technology at Florida International University's Chaplin School of Hospitality & Tourism Management. He holds the McKibbon '75 Professorship in Hospitality Technology and serves as Online Learning Administrator and Global Technology Liaison. Education: Master of Science in Management Information Systems (2006), Bachelor of Business Administration (2002) from FIU's College of Business Mr. Gomez's 20+ years of experience focus on technical leadership in hospitality technology, including enterprise systems, media services, and AI/ML applications in hospitality. He pioneered FIU's first continuing education course on Artificial Intelligence and Machine Learning in hospitality , emphasizing customer service optimization and data-driven decision-making. His work involves programming languages, audio/video systems, and instructional technology design. Scientific Recognition: Named Top 10 Heads of Higher Education (2014) by Tech Decisions Recipient of BEST Integrators Award (2014) for Wine Spectator Restaurant Management Lab

David Akopianمشاهده پروفایل

استاد

• Mobile Health (mHealth)
• Wireless Localization
• Machine Learning
• +۷ مورد دیگر

David Akopian is a Professor in the Department of Electrical and Computer Engineering at the Klesse College of Engineering and Integrated Design , University of Texas at San Antonio. He is a Fellow of the National Academy of Inventors (2016) and specializes in interdisciplinary research at the intersection of mobile health technologies, wireless localization, and artificial intelligence. Current academic rank: Professor Institution: University of Texas at San Antonio School: Klesse College of Engineering and Integrated Design Department: Electrical and Computer Engineering Email: David.Akopian@utsa.edu His research focuses on mHealth interventions for chronic disease management, GPS/GNSS spoofing detection , and AI-driven healthcare chatbots . He develops culturally tailored mobile applications for medication adherence among minority populations and innovative wireless localization techniques using software-defined radio and machine learning. Recent publications demonstrate expertise in cybersecurity for navigation systems , AI integration in healthcare , and community-centric digital solutions . Key applications include smoking cessation programs for South Texas populations and robust positioning systems for urban environments. Scientific award: Fellow, National Academy of Inventors (2016)

Hyeunjung (Elina) Hwangمشاهده پروفایل

دانشیار

• Crowdsourcing
• Data Mining
• Economics of Information Systems
• +۵ مورد دیگر

Hyeunjung (Elina) Hwang is an Associate Professor of Information Systems at the Foster School of Business, University of Washington , where she has been since 2015. She holds the Evert McCabe Endowed Fellowship in Private Enterprise . Ph.D. in Business Technologies, Carnegie Mellon University MBA, University of California, Los Angeles MS in Computer Science, Yonsei University BA in Computer Science, Sogang University Her research focuses on social and business implications of emerging technologies like AI, particularly examining how these technologies transform information sharing, social interactions, and learning. Key areas include crowdsourcing , misinformation diffusion , health IT , open innovation , and economics of information systems . Hwang's publications span top journals such as Management Science , Information Systems Research , and Manufacturing & Service Operations Management , often analyzing large-scale field data using econometrics, network analysis, and machine learning. Her work intersects information systems, economics, sociology, and operations management. Recent research trends include: Misinformation mitigation strategies on social media Healthcare technology adoption patterns Crowdsourcing innovation dynamics Online-offline retail integration Social network effects in professional platforms Telemedicine equity implications Key honors include the INFORMS Information Systems Society Sandy Slaughter Early Career Award (2024) , Dean’s Excellence Award for Undergraduate Teaching (2022) , and Gordon B. Davis Young Scholar Award (2021) . She serves as Associate Editor at Information Systems Research and actively participates in academic governance. She teaches core courses in data management, database systems, and information technology at undergraduate, MBA, and MSBA levels.

Anuj Kumarمشاهده پروفایل

استاد

• Business Value of Information Technology
• Digital Goods Markets
• Information Technology Enabled Multi-Channel Service Operations
• +۴ مورد دیگر

Anuj Kumar serves as the Walter J. Matherly Professor of Information Systems at the Warrington College of Business, University of Florida, within the Information Systems and Operations Management Department. His academic journey spans prestigious institutions in India and the United States, culminating in a PhD from Carnegie Mellon University. Dr. Kumar earned his PhD in Information Systems Management from the Heinz College at Carnegie Mellon University (2011), an MBA from the Indian Institute of Management (2006), an MTech in Thermal Engineering from the Indian Institute of Technology (1992), and a BE in Mechanical Engineering from the Indian Institute of Technology Roorkee (1990). His research centers on understanding how information technology influences human behavior and organizational outcomes across three primary domains: omnichannel customer behavior in technology-mediated environments, the economic value of algorithmic recommendation systems, and the societal impact of information technology. Dr. Kumar has developed an AI-enabled platform called EPInc to identify students' knowledge gaps and facilitate peer learning, which has been implemented in K-12 schools across India, benefiting thousands of students. His work on multichannel customer behavior examines how consumers interact with businesses across different channels for various products and services. Dr. Kumar's publication record demonstrates consistent high-impact contributions to top-tier journals including Management Science, Information Systems Research, Manufacturing & Service Operations Management, and Management Information Systems Quarterly. His research on product recommendation networks has shown these systems can increase product page views by 7.5% and sales revenue by 11% on average, with even greater impact for products at the 'center of the network.' His work spans theoretical foundations of information systems while maintaining strong practical relevance to business operations and societal challenges. INFORMS ISS Sandra A. Slaughter Early Career Award (2018) First runner-up award for INFORMS-Industry Studies Association Best Paper Prize Wharton Customer Analytics Initiative Research Grant Marketing Science Institute Research Grant Best Reviewer award at Sixteenth Conference on Information Systems and Technology Dr. Kumar has advised numerous PhD students including Xinyu Zang, Zhechao Yang, Maxim Terekhov, Youhyun Lee, Lucy Zhang, and Xiang Wan. His research has received competitive funding from the Marketing Science Institute and Wharton Customer Analytics Initiative. He serves as an Associate Editor for Information Systems Research and has reviewed for prestigious journals including Management Information Systems Quarterly and Management Science. His EPInc platform represents a significant applied contribution, creating peer-driven learning in K-12 classrooms, particularly benefiting underprivileged students in Indian schools.

Abdelrahman Eltoukhyمشاهده پروفایل

استادیار

• Airline Schedule Planning
• Logistics and Supply Chain Management
• Operations Research
• +۷ مورد دیگر

Dr. Abdelrahman Eltoukhy is an Assistant Professor in the Department of Management Science and Engineering at Khalifa University, Abu Dhabi, UAE. He previously served as a faculty member at The Hong Kong Polytechnic University and King Fahd University of Petroleum and Minerals. Education: B.Sc. in Production Engineering, Helwan University (Egypt) M.Sc. in Engineering and Management, Politecnico Di Torino (Italy) Ph.D. in Logistics Engineering and Management, The Hong Kong Polytechnic University His research focuses on Logistics and Supply Chain Management , Operations Research , and AI Optimization , with applications to Modular Integrated Construction , Drone Navigation , and Sustainable Systems . Recent publications address topics like circular economy in construction, tower crane automation, and UAV cybersecurity. Key Research Directions : Optimization of airline maintenance routing and logistics Deep learning for industrial operations Blockchain applications in resource allocation UWB/IMU sensor fusion for robotics Sustainable construction and waste management Contact: abdelrahman.eltoukhy@ku.ac.ae

• Internationalization of firms in emerging economy
• Institutional approaches of business strategy
• Dynamic evolution of control in international joint ventures
• +۵ مورد دیگر

Associate Professor Yi Li (PhD, FRSA, FHEA) is affiliated with the University of Sydney Business School and the China Studies Centre . His academic journey includes a Bachelor's degree with Honours from the University of International Business and Economics (UIBE) and a PhD in International Business from the Australian National University (ANU). Research Focus: Internationalization of Emerging Market Multinational Enterprises (EMNEs), Institutional Business Strategies, and Green Innovation Key Contributions: fsQCA methodology in EMNE studies, ESG integration in international strategies, and digital platform ecosystem advantages His 15 most recent publications (2025-2021) span journals like Journal of World Business , Journal of Management Studies , and Journal of Cleaner Production , with themes including digital platform internationalization, green innovation in FDI, AI-driven environmental safety, and institutional adaptation in emerging markets. Notably, he has 4 2024 articles on topics like TMT social capital in acquisitions and EU green cooperation frameworks. Scientific Awards : 2023 IETI Young Researcher Award 2019-2024 USS Teaching Awards FRSA (2020) and FHEA (2022) As Postgraduate Research Coordinator , Deputy Director of Emerging Markets Research Group , and Associate Editor for multiple SSCI journals, he bridges academic leadership with practical impact through grants like the National Natural Science Foundation of China and industry collaborations with institutions such as the Commercial Representative Office of Yunnan Province in Australia.

• Systems Design Engineering
• AI and Machine Learning in Engineering Design
• Data-Driven Product Design
• +۵ مورد دیگر

Harrison Hyung Min Kim is a Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign (UIUC), holding concurrent appointments at the Beckman Institute, Carle Illinois College of Medicine, and Computational Science and Engineering Program. He currently serves as Program Director for Engineering Design and Systems Engineering at the National Science Foundation (NSF). His educational background includes a B.S. and M.S. in Mechanical Engineering from KAIST and a Ph.D. from the University of Michigan under Panos Papalambros (NAE Member), followed by postdoctoral work at Northwestern University with Wei Chen (NAE Member). Kim's research centers on systems design engineering with focus areas in AI-based sustainable product design, energy systems engineering, life cycle analysis, and multidisciplinary optimization. His work applies to automotive, consumer electronics, and national security systems, funded by NSF, DOE, Caterpillar, and Hyundai. Recent publications (2021-2025) demonstrate a strong shift toward AI-driven analysis of online reviews for product design, pandemic-responsive design strategies, and circular economy implementation. His scientific recognitions include: ASME Design Automation Award (2024) and Fellow (2016) NSF CAREER Award (2010) ASME Kos Ishii-Toshiba Award (2019) UIUC Dean's Research Award (2014) Multiple Reviewers' Choice Awards at ICED conferences Lincoln Arc Welding Competition Medals as faculty advisor Kim advises industry-sponsored capstone projects and has received 12 'List of Teachers Ranked Excellent' honors. He leads the Enterprise Systems Optimization Lab and has served as Co-Director of the Hoeft Technology and Management Program (2020-2025). His editorial roles include Department Editor for IISE Transactions and membership on the ASME Journal of Mechanical Design editorial board.