جستجوی استاد راهنمای دانشگاهی

Vijayaraghavan Aravindanمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Machine Learning
• Quantum Information
• +۳ مورد دیگر

Dr. Vijayaraghavan Aravindan is an Associate Professor in the Department of Computer Science at Northwestern University, with a courtesy appointment in Industrial Engineering & Management Sciences. He is a core member of the Theory CS Group and serves as the Site Director for the NSF-funded Institute for Data, Economics, Algorithms, and Learning (IDEAL). His research focuses on theoretical computer science, particularly algorithmic foundations of machine learning, quantum information, and beyond worst-case analysis. Education: Ph.D. and M.A. in Computer Science, Princeton University B.Tech. in Computer Science and Engineering, Indian Institute of Technology Madras Research Interests: His work bridges theoretical computer science and machine learning, emphasizing efficient algorithms for high-dimensional data, quantum entanglement certification, and adversarial robustness. He explores paradigms such as smoothed analysis and stability-based approaches to provide practical algorithmic guarantees. Awards & Grants: NSF CAREER Award Google Research Scholar NSF AITF Grants (CCF-1637585, CCF-2154100) Advising & Teaching: He advises PhD students on topics like quantum computing, robust machine learning, and optimization. Courses taught include graduate algorithms, theoretical foundations of data science, and quantum computation. His lab collaborates on projects at IDEAL and with institutions like Carnegie Mellon University and TTI Chicago. Professional Leadership: Served as FOCS 2024 General Chair and organizes the McCormick Theory Workshops. Active on program committees for ICML, COLT, and NeurIPS.

• Computational Intelligence
• Cloud Computing
• Big Data Applications
• +۶ مورد دیگر

Jun Shen is a Professor at the School of Computing and Information Technology, University of Wollongong. He specializes in computational intelligence, cloud computing, and big data applications, with a focus on AI-driven solutions for real-world challenges in transport systems, healthcare, education, and environmental management. He has secured over 40 research grants totaling AU$4.5 million and supervised 26 completed PhD projects. His work spans interdisciplinary areas including bioinformatics, smart manufacturing, and digital health. Research interests include bio-inspired algorithmic optimization, AI in arts/media, and edge computing for IoT systems. He has pioneered research centers in applied computing since 2014 and holds editorial roles in top journals like IEEE Transactions. As an IEEE Distinguished Lecturer, he actively promotes AI ethics and interdisciplinary collaboration. Recent publications emphasize adversarial machine learning defenses, UAV systems, and multimodal data fusion. His supervision includes projects in intelligent transport systems, cloud computing, and e-learning. Grants include projects on resilient energy systems and UAV geolocation verification. Leadership roles include leading over 20 researchers and chairing conferences. He advocates for digital transformation in public services and has conducted fieldwork at MIT, UCI, and Georgia Tech.

Michelle LaFranceمشاهده پروفایل

دانشیار

• Writing Studies
• Feminist Rhetoric
• Composition Studies
• +۴ مورد دیگر

Michelle LaFrance is an Associate Professor in the English Department at George Mason University, specializing in Writing and Rhetoric. Her research focuses on feminist methodologies, institutional ethnography, community writing, and writing program administration. She holds a Ph.D. from the University of Washington (2009) and has published extensively on topics like academic labor, e-portfolios, and writing center pedagogy. Her recent work examines discourses of volunteerism and belonging in urban communities. Dr. LaFrance teaches courses on critical pedagogy, feminist research, and public writing. Her major awards include the 2021 College Composition and Communication Research Impact Award for her book Institutional Ethnography: A Theory of Practice for Writing Studies Researchers , which also received an Honorable Mention from the International Writing Across the Curriculum Association. She has supervised numerous graduate students in areas such as queer worldmaking, linguistic justice, and composition pedagogy. Education: Ph.D., University of Washington, 2009 Key Affiliations: Director of Graduate Studies, Writing Program Administrator LaFrance's research emphasizes materialist frameworks and participatory methods. She explores the intersections of writing studies with issues of labor, space, and community engagement. Recent projects include analyzing writing instructors' negotiations of language standards and reimagining equity practices in two-year colleges.

Rafid Al-Khannakمشاهده پروفایل

دانشیار

• Cloud Computing
• Cybersecurity
• Distributed Systems
• +۴ مورد دیگر

Dr. Rafid Al-Khannak is an Associate Professor in Computing at Buckinghamshire New University. He holds a PhD in Engineering and IT from the University of Bolton, completed in collaboration with Siemens AG. His research focuses on engineering and IT operational development, particularly in cloud computing, distributed systems, cybersecurity, and infrastructure automation. Al-Khannak maintains industry collaborations with Amazon and Siemens on cloud implementation and security projects. Key research areas include: Secure cloud migration frameworks using AWS hybrid models Infrastructure automation through CI/CD pipelines Penetration testing methodologies for cloud applications AI-enhanced education system transformation Healthcare application development for specialized needs

Suresh Nallan C.مشاهده پروفایل

استاد

• Supply Chain Management
• Sustainability
• Operations Research
• +۷ مورد دیگر

Overview Nallan C. Suresh is the UB Distinguished Professor in the Department of Operations Management and Strategy at the School of Management, University at Buffalo. He is affiliated with the Stephen Still Institute for Sustainable Transportation and Logistics. His work focuses on supply chain management, sustainability, manufacturing systems, and operational resilience. Research Interests Dr. Suresh's research explores supply chain agility, reverse supply chains, recycling efficiency, disaster response logistics, and sustainable operations. He investigates how technologies and policies impact supply chain resilience, particularly in hazardous-materials transportation and fast fashion industries. His work also addresses global policy effects, such as China's National Sword Policy on plastics recycling. Key Contributions Recent studies include: Development of DEA models for recycling efficiency evaluation Analysis of supplier relationship management frameworks Optimization of hub networks for hazardous materials Pre-positioning strategies using mobile phone data for disaster response Affiliations and Contact Contact: ncsuresh@buffalo.edu | 351 Jacobs Management Center, Buffalo, NY 14260

Kaitlyn Crawfordمشاهده پروفایل

دانشیار

• Soft Materials
• Flexible Electronics
• Sustainable Polymers
• +۱ مورد دیگر

Kaitlyn Crawford is an Associate Professor of Materials Science and Engineering at the University of Central Florida, with a secondary appointment in Chemistry. She directs the Functional Materials and Sensors Lab, focusing on sustainable soft materials for flexible electronics and biomedical applications. Her research integrates polymer science and engineering to develop wearable sensors for health monitoring, biodegradable materials to reduce e-waste, and natural polymer composites. Current projects include a $1.5M DHS-funded wearable for firefighter heat-stress monitoring and NASA-funded space applications. Her recent publications emphasize sustainable polymers, bionic devices, and AI-driven diagnostics. Awards include the 2024 ACS PMSE Early Investigator Award and a Jewish National Fund fellowship. She leads multiple graduate students in biomedical and materials research. Awards: 2024 ACS PMSE Early Investigator Award Faculty Fellowship Program in Israel, Jewish National Fund Faculty Excellence Honoree, Women’s History Month (UCF)

Gideon Christianمشاهده پروفایل

دانشیار

• Artificial Intelligence and Law
• Racial Bias in AI
• Environmental Impact of Emerging Technologies
• +۳ مورد دیگر

Gideon Christian is an Associate Professor and University Excellence Research Chair in AI and Law at the University of Calgary’s Faculty of Law. He holds a Ph.D. from the University of Ottawa, an LLM specializing in Law and Technology, and an LLB from the University of Lagos. Prior to his current role, he worked as Legal Counsel at the federal Department of Justice and as an adjunct professor at the University of Ottawa. He currently serves on the boards of CanLII and Lexum. Education: Ph.D., University of Ottawa (2014) LLM (Law & Tech), University of Ottawa (2008) LLB, University of Lagos (2002) Research Interests: Dr. Christian focuses on AI’s legal implications, particularly addressing racial bias in technologies. His work includes analyzing algorithmic racism in facial recognition systems, ethical use of Generative AI in law, and AI’s environmental impacts. He has advised parliamentary committees on AI in immigration decisions and its societal effects. Awards: 2024: Calgary Herald’s Top 20 Compelling Calgarians 2023: Alberta Newcomer Recognition Award 2023: NCC Grant ($916,000) and OBA Fellowship 2022: Howard Tidswell Teaching Excellence Award Teaching and Grants: Teaches courses like eLitigation, Civil Procedure, and Ethical Lawyering. Has secured grants totaling over $1.2M for research on AI ethics, cybersecurity, and legal frameworks. His work bridges law, technology, and social justice. Labs/Teams: Collaborates with CanLII and Lexum on open legal information. Engages in interdisciplinary projects addressing AI’s societal impact through partnerships with NGOs and government bodies.

• Artificial Intelligence
• Decision Support Systems
• Knowledge Management
• +۳ مورد دیگر

Professor Gregoris Mentzas is a faculty member at the National Technical University of Athens, School of Electrical and Computer Engineering, where he directs the Division of Industrial Electric Devices and Decision Systems. His research focuses on AI-enabled decision systems, knowledge management, and semantic technologies applied to digital enterprises and e-government. With over 350 publications, he ranks among the top 2% most cited scientists globally. Research Interests: Artificial intelligence for decision augmentation, big data analytics in personalized health and smart mobility, semantic web technologies, and industrial internet of things. Current projects investigate trustworthy AI frameworks and hybrid intelligence systems for Industry 5.0. Teaching: Leads courses in Digital Enterprise Management, Strategic Information Systems, and Project Management at undergraduate and postgraduate levels, incorporating industry case studies and experiential learning approaches. Awards & Leadership: Top 2% Highly Cited Scientist (PLOS Biology 2021) 5 Best Paper Awards in international conferences Director of Information Management Unit (1997-present) Board Member of Institute of Communication and Computer Systems (2006-2009) Projects & Funding: Secured over €18 million in research grants through 60+ European projects with industry partners including SAP, IBM, and Siemens. Research outcomes led to three technology spin-offs.

Ashraf Attiaمشاهده پروفایل

استاد

• Marketing
• Sales Management
• Cross-Cultural Marketing Ethics
• +۳ مورد دیگر

Ashraf Attia is a Professor of Marketing and Chair of the Marketing and Management Department at the School of Business, State University of New York at Oswego. He holds a B.A. from Cairo University, an MBA from The American University in Cairo, and a Ph.D. and MA from Old Dominion University. His research focuses on sales training evaluation, cross-cultural marketing ethics, and electronic marketing, with notable contributions to understanding social media's impact on behavioral change in political and economic contexts. Dr. Attia teaches courses such as Consumer Behavior and E-Marketing. His work has been recognized with awards including the 2016 President's Award for Scholarly Activity and the Best Paper Award (2005) from the Journal of Personal Selling & Sales Management. His research spans diverse fields, including the effects of dietary supplements on poultry productivity, structural analysis of materials, and the role of social media in global uprisings like Algeria and Sudan. Education: B.A., Cairo University MBA, The American University in Cairo MA and Ph.D., Old Dominion University His publications explore interdisciplinary themes, from marketing ethics to agricultural science, reflecting his broad academic interests. He actively engages in advising students and contributes to grants focusing on sales training and marketing strategies.

Chiara Sabattiمشاهده پروفایل

استاد

• Statistical Genetics
• Computational Biology
• Bayesian Statistics
• +۲ مورد دیگر

Chiara Sabatti is a Professor of Biomedical Data Science and Statistics at Stanford University, with affiliations to the Stanford Center for Computational, Evolutionary and Human Genomics (CEHG), Bio-X, and the Stanford Cancer Institute. She serves as Associate Director for Stanford Data Science and has led the development of the Data Science Major curriculum since 2012. Research Focus: Statistical models for high-throughput genomics data, causal inference in genetic studies, false discovery rate control, and knockoff methods for variable selection. Key Leadership: Associate Chair for Education and Training (2020-present), Vice Chair of Biomedical Data Science (2018-2019). Her work bridges statistical genetics with data science education, emphasizing robustness and interpretability in scientific findings. Recent publications highlight innovations in genome-wide association studies (GWAS), causal variant localization, and cost-effective sequencing techniques for underrepresented populations. Current projects include developing knockoff-based methods to address population structure and multi-resolution hypothesis testing. Scientific Awards: Institute of Mathematical Statistics (IMS) Fellow (2022) NSF CAREER Award (2003-2008) She mentors doctoral and graduate students in Biomedical Data Science, collaborates with the Data Studio on interdisciplinary projects, and actively recruits curious researchers to her lab. Her outreach efforts focus on expanding data science education and increasing research participation from underrepresented groups.

Kathleen L. Komarمشاهده پروفایل

استاد

• Comparative Literature
• German Literature
• Feminist Theory
• +۳ مورد دیگر

Kathleen L. Komar is a Distinguished Professor in the Department of Comparative Literature at the University of California, Los Angeles (UCLA), part of the UCLA College. She holds a Ph.D. in Comparative Literature from Princeton University (1977). Her primary language expertise includes German, reflecting her focus on German literary traditions. Professor Komar’s research spans feminist theory, modernist literature, and post-symbolist poetry, with significant contributions to the study of Rainer Maria Rilke, Hermann Broch, and Robert Musil. She has authored and edited works analyzing mythological reinterpretation, gender dynamics in literature, and the intersection of digital humanities with traditional literary studies. Her academic career includes leadership roles such as serving as ACLA President, where she championed interdisciplinary approaches and the evolution of comparative literature as a discipline. Komar’s scholarship bridges historical analysis and contemporary critical theory, addressing themes like utopianism, postcommunism, and the role of silence in postwar discourses. She has also explored pedagogical innovations in teaching world literature and the application of predictive analytics in educational technology. Notable research areas include: Reinterpretation of classical myths (e.g., Klytemnestra) Modernist aesthetic theory in German literature Electronic poetry and digital textuality Feminist explorations of literary space Comparative studies of European and American literary traditions Her publications reflect a commitment to interdisciplinary dialogue, spanning edited companions, critical essays, and theoretical interventions in both print and digital formats. Komar’s work frequently emphasizes the transformative potential of literature to interrogate cultural, political, and gendered structures.

Scott Snyderمشاهده پروفایل

استاد

• Chemical Biology
• Organic Chemistry
• Natural Product Synthesis
• +۳ مورد دیگر

Scott A. Snyder is a Professor of Chemistry at the University of Chicago, affiliated with the Physical Sciences Division. His research focuses on the synthesis of complex natural products, particularly in the areas of chemical biology and organic chemistry, with an emphasis on developing novel reagents and strategies for efficient synthesis. Education: Valedictorian at Williams College (undergraduate), PhD at The Scripps Research Institute (2006), postdoctoral fellowship at Harvard University with E. J. Corey. Career path includes Columbia University (2006–2013), Scripps Florida (2013–2015), and the University of Chicago since 2015 as a Full Professor. Research Interests: Synthesis of terpenes, polyphenols, and alkaloids; development of halogenating reagents (e.g., Et₂SBr•SbCl₅Br); chemoselective methodologies for polycyclic structures. His work bridges organic synthesis and medicinal chemistry, with applications in drug discovery and chemical biology. Awards: Arthur C. Cope Scholar Award (2011), Quantrell Award (2017), Cottrell Scholar Award (2009). Books: Co-author of Organic Chemistry (11th/12th ed.), Classics in Total Synthesis II , and Teach Better, Save Time, and Have More Fun . Grants: NSF CAREER Award, NIH funding, and industry collaborations (e.g., Bristol-Myers Squibb). Lab and Teams: Trained over 70 scientists. Current students include Alex Crolais, Bryan Reynolds, and Sohee Kim. Former students hold positions at academic institutions and pharmaceutical companies worldwide.

• Scientific Computing
• GPU Computing
• Signal Processing
• +۵ مورد دیگر

Professor Wes Armour is a Professor of Scientific Computing at the University of Oxford and serves as the Associate Head of Department for Research in the Department of Engineering Science. He previously directed the Oxford e-Research Centre, an interdisciplinary research center within the Engineering Science Department. With over £31 million secured as PI or Co-I, his work spans supercomputing, signal processing, machine learning, computational fluid dynamics, and protein crystallography. Professor Armour's research focuses on extracting science from data through fundamental challenges in modeling, simulation, and data processing. His work draws from numerical analysis, signal processing, and machine learning to develop technologies enabling future scientific discoveries, particularly for the Square Kilometre Array (SKA) telescope. Key interests include GPU computing, high performance computing, and machine learning applications across diverse domains from radio astronomy to finance. As Director and Principal Investigator of JADE and JADE2, a 700-GPU machine, he established the UK's first national High Performance Computer facility dedicated to advancing Artificial Intelligence and Machine Learning. His research group has pioneered GPU applications across multiple fields, including Square Kilometre Array data processing, protein crystallography, and graphene simulations. Current projects span energy-efficient machine learning, stock price prediction in finance, prime number prediction in cryptography, and multi-modal CCTV data analysis. Professor Armour has been instrumental in developing real-time signal processing techniques for astronomical observations, including the ARTEMIS system for millisecond radio transient detection. His publications demonstrate consistent innovation in GPU-accelerated computing dating back to early work in 2008 on accelerating conjugate gradient routines for electron transport in graphene.

• Artificial Intelligence
• Electronic Commerce
• Intelligent Agents and Multi-Agent Systems
• +۶ مورد دیگر

Thomas Tran is a Full Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. in Computer Science from the University of Waterloo (2004) and a B.Sc. (Double Major in Mathematics and Computer Science) from Brandon University (1999). His research focuses on Artificial Intelligence, Electronic Commerce, Multi-Agent Systems, Trust and Reputation Modeling, and Recommender Systems. He has published over 80 refereed papers and supervised 27 graduate students (4 PhDs and 23 Masters). Education: Ph.D. in Computer Science, University of Waterloo (2004) B.Sc. (Double Major in Mathematics and Computer Science), Brandon University (1999) Research Interests: AI Applications in E-Commerce and Mobile Business Trust Establishment Models in Multi-Agent Systems Recommender Systems and Deep Learning Clinical Data Analysis for Hidradenitis Suppurativa Awards: Governor General's Gold Medal (2004) NSERC Postgraduate Scholarships (PGS A/B) AAAI Doctoral Consortium Participant (2002) Advising and Grants: Supervised 27 graduate students Recipient of multiple research grants (details unspecified) Labs/Teams: Active in AI and E-Commerce research groups within EECS.

Colin Allisonمشاهده پروفایل

استاد پژوهش

• Multi-User Virtual Worlds
• Distributed Systems
• Computer Networks
• +۵ مورد دیگر

Dr Colin Allison is an Honorary Research Professor at the University of St Andrews' School of Computer Science, specializing in Multi-User Virtual Worlds (Metaverses), Distributed Systems, Computer Networks, and Quality of Service (QoS). He holds a PhD in Computer Science from the University of St Andrews, an M.Sc. in Computing from the University of Dundee, and an M.A. in Sociology from the University of Edinburgh. His research focuses on immersive learning environments, virtual world infrastructure, and educational technologies. Notable projects include leading the Immersive Learning Research Network (iLRN), managing Open Virtual Worlds initiatives, and investigating Quality of Service in distributed systems. Dr. Allison has organized international conferences and published extensively on virtual reality applications in education and cultural heritage. Key contributions include advancing scalable learning environments like Finesse, exploring video fingerprinting for digital asset management, and investigating covert channels in internet protocols. He has collaborated on interdisciplinary projects such as LAVA (virtual archaeology) and the Global Smart Spaces initiative. Dr. Allison has secured grants for projects like the European Learning Grid Infrastructure (ELeGI) and has served as Principal Investigator for initiatives such as Interface and the Scottish Metropolis Area Networks project. His work bridges academic research with practical applications in education, technology, and heritage preservation. He has advised on multiple research projects and has been a keynote speaker at conferences on internet security, immersive education, and virtual worlds.