Xiaolei Guo is a Professor of Management Science at the Odette School of Business, University of Windsor. His expertise spans transportation systems, supply chain optimization, and infrastructure pricing strategies. He holds a Ph.D. in Transportation from the Hong Kong University of Science and Technology (2008) and a B.A. in Hydraulic Engineering from Tsinghua University (2004). His research focuses on congestion pricing mechanisms, transportation network modeling, and toll road economics. Notable areas include optimizing toll designs under uncertainty, analyzing autonomous vehicle impacts on ridesharing, and evaluating strategic distribution channel decisions under environmental regulations. Dr. Guo has contributed to over 30 peer-reviewed articles since 2005, exploring topics such as Braess paradox under bounded rationality, Pareto-improving congestion schemes, and profit maximization for private toll roads. His work bridges theoretical optimization with practical policy applications. He is an active member of the Canadian Transportation Research Forum (CTRF) since 2011 and the Institute for Operations Research and the Management Sciences (INFORMS) since 2009.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۳۶-۷۵۰ از ۱۰٬۰۱۶ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Luis Nunes Vicente is the Timothy J. Wilmott '80 Endowed Faculty Professor and Chair of Lehigh University's Department of Industrial and Systems Engineering since August 2018. He previously served as a faculty member at the University of Coimbra's Department of Mathematics. His research focuses on Continuous Optimization, Computational Science and Engineering, and Machine Learning/Data Science. Education: Ph.D. in Applied Mathematics (Rice University, 1996), M.A. in Applied Mathematics (Rice University, 1994), B.S. in Mathematics and Operations Research (University of Coimbra, 1990). Honors include the Lagrange Prize (2015), SIAM Fellowship (2024), and Fulbright Scholarship (1996). He co-authored the influential book Introduction to Derivative-Free Optimization (2009). Research Interests: Development of optimization algorithms for derivative-free and stochastic scenarios, multi-objective optimization, machine learning applications, and computational methods for engineering problems. Key contributions include trust-region methods, bilevel optimization frameworks, and fairness-aware machine learning models. Grants and Leadership: Secured over $1M from the Office of Naval Research (2024) and the Air Force Office of Scientific Research (2023). Served as Editor-in-Chief of Portugaliae Mathematica (2013–2018) and on editorial boards of top journals like SIAM Journal on Optimization . Elected President of the Operations Research Association of Chairs (2024). Visiting Positions: IBM T.J. Watson Research Center (2002/2003), Courant Institute/NYU (2009/2010), and CERFACS/Toulouse (2010–2015). Active in international conferences, delivering plenary lectures at 13th French-German Conference on Optimization, ICCOPT III, and ISMP 2018.
Monideepa Tarafdar is the Charles J. Dockendorff Endowed Professor of Information Systems at the Isenberg School of Management, University of Massachusetts Amherst. She holds a PhD in Management from the Indian Institute of Management Calcutta, specializing in Information Systems and Strategy. Her research focuses on technostress, AI ethics, and the societal impacts of digital technologies. She has held academic roles at Lancaster University and the University of Toledo, and visiting positions at MIT Sloan and LSE. A world-leading scholar, she was named AIS Fellow (2024) and featured in Stanford’s Top 2% Cited Scientists (2024). Her work examines technostress creators like overload, complexity, and invasion, offering coping strategies such as proactive reorientation and organizational support. She studies AI’s role in hiring bias, social media addiction, and gig economy well-being. As Editor-in-Chief of the Journal of AIS and coordinator of Isenberg’s PhD program, she drives interdisciplinary research in IS. Key achievements include over 120 papers, mentorship accolades, and grants addressing ICT-enabled inclusion and algorithmic transparency. Recent awards include the AIS Best Publication Award (2022), multiple Research Excellence Awards, and recognition for her impactful work on workplace resilience. She advises organizations on managing technostress and serves as a scientific advisor to Unplug (Dublin). Her current projects explore gender bias in job ads and the sociotechnical dimensions of climate change discourse.
Joshua M. Scacco is an Associate Professor in the Department of Communication and founding Director of the Center for Sustainable Democracy at the University of South Florida, College of Arts & Sciences. His work bridges political communication, media effects, and quantitative research methods, with a focus on democratic governance in the digital age. Education: PhD, University of Texas at Austin Dr. Scacco’s research explores how communication technologies can strengthen democratic institutions, addressing topics like presidential digital rhetoric, health misinformation, election integrity, and media accountability. He employs computational methods and experimental designs to analyze media ecosystems. Recent publications examine: Health communication challenges during the pandemic Political misinformation on social platforms Democratic backsliding and press responsibility Interactive media effects on political behavior Dr. Scacco partners with the U.S. Department of State, journalism nonprofits, and local governments. He is affiliated with the Center for Media Engagement at the University of Texas at Austin.
Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .
Omprakash Gnawali is an Associate Professor in the Department of Computer Science at the University of Houston, with expertise in Internet of Things, wireless sensor networks, and artificial intelligence. His research focuses on advanced networking protocols, mobility analysis, and safety monitoring systems. Postdoctoral work at Stanford University PhD in Computer Science from University of Southern California Masters and Bachelors from Massachusetts Institute of Technology His research interests include Ultra-Wideband (UWB) localization, network protocol design, edge computing for monitoring systems, and mobile sensor networks. He leads the Networked Systems Laboratory , where he develops frameworks like the Collection Tree Protocol and CodeDrip for efficient data dissemination. Recent publications highlight trends in UWB-based safety monitoring, routing optimization in dual-radio networks, and deception detection in cybersecurity. He has secured NSF Student Travel Grants for ACM SenSys conferences in 2016 and 2017. Scientific Awards NSF Student Travel Grant (2017) NSF Student Travel Grant (2016) He actively mentors students in research projects and teaches courses such as Research Methods in Computer Science and Computer Networks . His service roles include Technical Program Committee memberships and chairing the TinyOS Network Protocol Working Group.
Dr. Vagelis Papalexakis is an Associate Professor and Ross Family Chair in the Computer Science & Engineering Department at the University of California, Riverside. His research focuses on data science, machine learning, and tensor methods, with applications in multi-aspect/multi-modal data analysis. He holds a Ph.D. from Carnegie Mellon University and a Diploma/M.Sc. from the Technical University of Crete. Affiliations: Ross Family Chair, Bourns College of Engineering, UCR Education: Ph.D. in Computer Science, Carnegie Mellon University M.Sc./Diploma in Electronic & Computer Engineering, Technical University of Crete His work emphasizes interpretable insights from complex datasets, including tensor-based defenses against adversarial attacks, graph representation learning, and scalable algorithms for high-dimensional data. Notable awards include the NSF CAREER Award (2021), IEEE DSAA Next Generation Award (2021), and ICDM Tao Li Award (2022). Grants include NSF funding for railway safety (CISE MSI: RPEP CPS), USDOT transportation research, and NVIDIA GPU grants. He leads projects in AI ethics, misinformation detection, and gravitational wave analysis. His lab collaborates with industry (e.g., Cisco, Instacart) and national labs (e.g., Lawrence Livermore).
Kathryn Thierمشاهده پروفایل
پژوهشگر ارشد
Dr. Kathryn Thier is a Postdoctoral Research Fellow in the Center for Climate Change Communication at George Mason University. She holds a Ph.D. in Communication Science and Social Cognition from the University of Maryland and previously taught journalism at the University of Oregon, where she co-founded The Catalyst Journalism Project. Her research examines Solutions Journalism and its capacity to drive pro-social outcomes in Climate Change Communication and Health Communication . She investigates how solution-oriented reporting influences public engagement, policy support, and health behaviors. Recent publications (2019-2025) demonstrate methodological diversity including meta-analyses, content analyses, and experimental designs. Dominant themes include: Health/climate misinformation mitigation Solution-oriented framing effects Equity-focused communication strategies Policy engagement mechanisms She maintains a strong emphasis on quantitative rigor and interdisciplinary applications.
Lesia Semenovaمشاهده پروفایل
استادیار
Lesia Semenova is an incoming Assistant Professor in the Department of Computer Science at Rutgers University, set to join in Fall 2025. She currently serves as a postdoctoral researcher at Microsoft Research, NYC. Her research focuses on machine learning, responsible AI, interpretability, and healthcare applications. She holds a PhD from Duke University's Computer Science Department and prior degrees from Taras Shevchenko National University of Kyiv. Education Background: Ph.D., Computer Science, Duke University M.S. and B.S., Applied Mathematics, Taras Shevchenko National University of Kyiv Research Interests: Machine Learning Interpretability Responsible AI Frameworks Healthcare Applications of AI Reinforcement Learning Human-Centered Design Selected Awards and Recognition: 2024 Rising Stars in Computational and Data Sciences PhD Dissertation Award from Duke University Advising and Professional Activities: Semenova advises students such as Harry Chen and Dennis Tang. She has organized workshops at NeurIPS and presented at conferences like the International Joint Conference CFE-CMStatistics. Her work bridges theoretical machine learning with practical healthcare and policy applications. Professional Engagement: She is affiliated with the Artificial Intelligence and Machine Learning research groups at Rutgers, and has collaborated with institutions like the Johns Hopkins Applied Physics Lab.
Bita Amaniمشاهده پروفایل
دانشیار
Bita Amani is an Associate Professor of Law at Queen’s University, affiliated with the Cultural Studies Graduate Program. She holds a BA in Sociology (York University), LLB from Osgoode Hall Law School, and SJD from the University of Toronto. Her research focuses on food law, intellectual property, privacy, and feminist legal studies, exploring intersections with technology regulation, sustainability, and gender equity. Key professional roles include: Adjunct Professor at Osgoode Hall Law School (Part-Time Professional Development Program), Co-Director of Feminist Legal Studies at Queen’s, and consultant for governmental bodies like Ontario’s Ministry of the Attorney General. Her work addresses critical issues such as biopiracy, AI ethics, and privacy law implications of emerging technologies. Education: BA (York), LLB (Osgoode), SJD (Toronto) Awards: IWOO High Achiever Award (2017), IT.CAN Board Member (2009-11) Consultancies: Provincial genetic technology policy (2001), foreign polygamy recognition study (2005) Research spans food governance frameworks, algorithmic accountability, and regulatory challenges in biotechnology. She has authored/co-authored influential books like Trade-marks and Unfair Competition: Cases and Commentary on Canadian Law and State Agency and the Patenting of Life in International Law . Her interdisciplinary approach bridges law, science, and social policy. Recent work emphasizes AI’s impact on copyright frameworks and trademark law’s role in sustainability goals.
John Jonesمشاهده پروفایل
دانشیار
John Jones is an Associate Professor at The Ohio State University specializing in Digital Media Studies, with a focus on rhetoric, professional/technical communication, and digital literacies. His academic journey includes a PhD in English from the University of Texas – Austin and an MA from the University of Tennessee – Chattanooga. Previously, he served as an associate professor at West Virginia University and a visiting assistant professor at the University of Texas at Dallas. Research explores intersections of writing, computational processes, and digital culture Expertise spans digital media studies, visual rhetoric, and networked communication His work investigates the impact of wearable technologies, algorithmic systems, and network structures on knowledge creation and communication practices. Current projects examine computational ethics in digital writing and the role of digital networks in shaping rhetorical strategies. Analysis of John Jones’s publications reveals consistent engagement with: Digital media and computational rhetoric Networked communication frameworks Wearable technology implications Medical usability challenges Visual data representation Collective intelligence dynamics
Raquel Iniesta is a Reader in Statistical Learning for Precision Medicine at King's College London, leading the Fair Modelling and TDA lab within the Department of Biostatistics & Health Informatics. Her expertise spans mathematics, statistics, and machine learning applied to precision medicine, with a focus on ethical AI integration in healthcare. She teaches advanced machine learning and statistical modeling courses and actively engages in scientific communication through workshops and media outreach. Her research emphasizes developing transparent AI models for personalized medicine, particularly in depression, hypertension, and neurodegenerative diseases. Notable contributions include studies on fasciculation analysis in ALS and ethical frameworks for healthcare AI. Publications highlight interdisciplinary approaches, combining machine learning with clinical and genetic data to improve predictive models. Dr. Iniesta leads educational initiatives, including the Machine Learning module and Introduction to Statistics programs, and contributes to public engagement by designing digital content and managing social media for research dissemination.
Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.
Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.
Professor Rachel Harrison is a Professor in Computer Science at the School of Engineering, Computing and Mathematics, Oxford Brookes University. Her research focuses on software metrics, machine learning, and requirements engineering with emphasis on empirical and automated software engineering solutions. She has over 160 publications and extensive industry collaborations with organizations like IBM and Philips Research Labs. Her work has been recognized through roles as Editor-in-Chief of the Software Quality Journal and leadership in conferences such as ICSE and ESEM. She leads the Dependable System Engineering Centre (DSERC) and is part of the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and the Applied Software Engineering and Data Analytics (ASEDA) Group. Her research projects include AI applications for big data analysis (AIMi), automated review classification (ReClass), and software quality improvement (SEQUIN). Professor Harrison has served on over 50 international program committees and initiated workshops like RAISE and AIRE. Her teaching includes advanced computer science modules and leadership in courses like Essential Maths for University Study and Advanced Software Development . Her work bridges academic research and practical applications, particularly in healthcare technology (e.g., diabetes management systems) and mobile application usability. She advocates for rigorous software quality practices and has contributed to frameworks for requirements validation and risk assessment in software projects.
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.