جست‌وجوی استاد و پژوهشگر

• Algebra
• Combinatorics
• Representation Theory
• +۲ مورد دیگر

Professor Moon Dong-ho is a Professor in the Department of Mathematics and Statistics at Sejong University, South Korea, holding this position since March 1999. He teaches undergraduate courses including Modern Algebra, Linear Algebra, and Graduation Research and Career, the latter involving direct student advising for 4th-year undergraduates. Education: B.S. in Mathematics, Seoul National University (February 1991) Ph.D. in Mathematics, University of Wisconsin - Madison (May 1998) Research Focus: Professor Moon's work centers on algebraic combinatorics and representation theory , with expertise in Littlewood-Richardson coefficients , tensor invariants , diagram algebras , and combinatorial proofs . His research bridges abstract algebraic structures with discrete combinatorial objects, yielding novel insights into reduction formulas, hive models, and graph-theoretic interpretations of tensor operations. Publication Trends: His 15 most recent publications (2005-2018) demonstrate sustained contributions to combinatorial representation theory. Published in journals like Journal of Algebra and Annals of Combinatorics , his work consistently explores connections between symmetric functions, tensor products, and discrete structures, with recurring emphasis on bijective proofs and algebraic graph theory. Advising: Through the Graduation Research and Career course, Professor Moon provides structured guidance to undergraduate students on research methodologies, thesis development, and career pathways in mathematical sciences. Research Laboratory: He maintains an active research laboratory in Young 309, Yeongsil Hall, serving as the primary workspace for his ongoing investigations in combinatorial algebra.

• Biogeochemistry
• Stable isotopes
• Carbon cycling
• +۸ مورد دیگر

Dr. Joanne Oakes is an Associate Professor in the Faculty of Science and Engineering at Southern Cross University, where she also serves as Deputy Director of the Centre for Coastal Biogeochemistry and Deputy Director of Higher Degree Training and Research. She holds a BSc(Hons) and PhD from Griffith University. With over 20 years of research experience, Dr. Oakes specializes in applying stable isotope techniques to investigate biogeochemical processes across coastal, terrestrial, and freshwater ecosystems. Her research examines carbon and nitrogen cycling under environmental changes including nutrient enrichment, ocean acidification, and warming. Key focus areas include: Tracing element flows using isotope labelling in microphytobenthos, seagrass, and mangrove systems Climate change impacts on sediment biogeochemistry from the Arctic to tropics Coastal carbon dynamics including blue carbon ecosystems and greenhouse gas fluxes Her recent publications demonstrate strong emphasis on coastal biogeochemistry (65% of last 15 articles), climate change interactions (40%), and methodological innovations in stable isotope applications (20%). Research spans fundamental microbial processes to global-scale carbon databases. Awards & Recognition: Southern Cross University Research Award (2023) Academic Leadership: Dr. Oakes has secured over $2.2M in research grants, supervises 5 current PhD students (with 2 completed), and has mentored 5 Honours students. She teaches undergraduate units including Cells and Molecules, Ecology for Natural and Managed Systems, and Biogeochemistry. She leads research teams at the Centre for Coastal Biogeochemistry focusing on isotope-enabled investigations of ecosystem processes. Current projects examine carbon-climate feedbacks in Australian estuaries and tropical blue carbon systems.

Dieter A. Fenselمشاهده پروفایل

استاد

• Semantic Web
• Ontologies
• Knowledge Management
• +۵ مورد دیگر

Prof. Dieter A. Fensel is a distinguished academic at the Institute for Computer Science , University of Innsbruck, Austria. He has held leadership roles as Scientific Director of DERI at National University of Ireland, Galway (2003), Director of DERI Innsbruck (2006), and founder of the Semantic Technology Institute International (STI2) (2007). His affiliations span institutions including the University of Karlsruhe (AIFB), University of Amsterdam (UvA), and Vrije Universiteit Amsterdam (VU). Education : Master in Social Science (Free University of Berlin, 1989), Master in Computer Science (Technical University of Berlin, 1989), Doctoral degree in Economic Science (University of Karlsruhe, 1993), Habilitation in Applied Computer Science (1998). Dr. Fensel is a pioneer in semantic technologies , focusing on their application in 21st-century computer science. His work spans formal specification languages, software engineering, data warehousing, semantic web, and knowledge management. He has co-organized over 200 academic conferences and served as Associated Editor for 14 scientific journals. His research leadership includes coordination of major projects like Larck (IP), SOA4All (IP), KnowledgeWeb (NoE), and Tripcom (Strep), securing over €40 million in funding. He has taught more than 50 courses across diverse institutions, from technical colleges to universities. Scientific Awards : Carl-Adam-Petri-Award (2000).

• Computer Systems Security
• Cybersecurity
• Software Engineering
• +۳ مورد دیگر

Venkat Venkatakrishnan is a Professor of Computer Science and Director of Research at the Discovery Partners Institute at the University of Illinois at Chicago. As Associate Dean for Research and Graduate Studies in the College of Engineering, he leads initiatives in cybersecurity research and education. His research focuses on Computer Systems Security , utilizing techniques from Compilers Operating Systems Formal Methods to defend against cyber attacks. He has developed innovative approaches to secure desktop systems, detect web vulnerabilities, and reconstruct attack scenarios. Recent publications highlight his work in areas including: Advanced Persistent Threat detection Web application security Automated exploit generation Security sanitization tools SQL injection prevention Content security policies Scientific achievements include Distinguished Paper Award at USENIX Security Symposium (2018) Best Paper Awards at IEEE QRS (2016), Oakland (2009), and ACSAC (2003) Finalist for AT&T Best Applied Security Research Paper (2010) He has mentored numerous students and postdoctoral researchers, many of whom have become faculty members at prestigious institutions or joined leading technology companies. His work bridges academic research with practical applications for businesses and websites seeking to patch security vulnerabilities.

Xin Huangمشاهده پروفایل

دانشیار

• Graph Data Management
• Big Graph Mining & Visualization
• Social Network Analysis
• +۴ مورد دیگر

Xin Huang is an Associate Professor in the Department of Computer Science at Hong Kong Baptist University (HKBU), Faculty of Science. He serves as Coordinator of Research Postgraduate Programme (PhD&MPhil) and Coordinator of Programming Contest Teams. His educational background includes: Ph.D. in Systems Engineering and Engineering Management from The Chinese University of Hong Kong (2014) B.Eng. in Computer Science from Xiamen University (2010) Huang's research focuses on innovative technologies for large-scale graph data management and analysis. His work spans graph data management including keyword search and graph indexing, graph mining techniques for summarization and decomposition, community search algorithms, and graph learning approaches including graph neural networks. His research integrates theoretical foundations with practical applications in social network analysis and privacy-aware computing. His publication record shows consistent output in top-tier venues with a clear evolution from foundational graph algorithms to more complex applications involving dynamic and uncertain graphs, reflecting the growing importance of graph analytics in real-world systems. Notable awards include: Best Student Paper Award at ACM/IEEE IWLS 2023 Best Faculty Article Award from Chinese Communication Association (2022) HKBU President's Award for Outstanding Performance as Young Researcher (2021) RGC Early Career Award (2020) Best Paper Award at WISE 2019 Huang actively mentors PhD students and postdoctoral fellows, currently supervising five PhD candidates and four postdocs. His research has been supported by competitive grants including the RGC Early Career Award. He serves as Associate Editor for Data Science and Engineering and World Wide Web Journal, and participates extensively in program committees for major conferences including VLDB, ICDE, and WWW. As part of HKBU's Database Research Group, Huang contributes to a vibrant research environment that has secured over $10 million in research funding and published more than 200 papers in top venues.

• Organizational Management
• Information Systems
• Business Information Flows
• +۴ مورد دیگر

Minka Miteva Yordanova serves as a Part-time Lecturer in the Department of Mathematics, Computer Science and Natural Sciences at Technical University - Gabrovo, actively contributing to academic and research activities since 2011 through multiple institutional projects. Her research focuses on the intersection of management theory and information technology applications, with primary expertise in: Organizational Management and Business Process Modeling Information Systems Design and Security Computer-Based Educational Methods and Web Accessibility Economic Growth Analysis in National Sectors Analysis of her 15 publications (2011-2016) reveals consistent emphasis on practical implementations of management models in Bulgarian academic and business contexts, particularly in IT project execution, organizational communication, and time management systems. Her work predominantly appears in UNITECH and INFOTEH conference proceedings, demonstrating strong institutional collaboration within Southeast European academic networks. Dr. Yordanova has participated in seven internal research projects at TU Gabrovo (2011-2018) as both researcher and team member, addressing critical areas including modern educational technologies, economic forecasting for EU structural funds, and computer-based research methodologies. These projects involved cross-functional teams of 5-10 specialists focused on translating theoretical models into operational frameworks for national economic development.

Rui Abreuمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Debugging
• +۶ مورد دیگر

Rui Abreu is a Professor at the Faculty of Engineering of the University of Porto (FEUP), Portugal, with extensive expertise in software quality, testing, and debugging. Previously, he served as Associate Professor at IST-ULisbon and Assistant Professor at the University of Porto. His research bridges academia and industry through roles including Visiting Researcher at Google NYC (2019-2020) and co-founding DashDash, a $9M Series A-funded startup for spreadsheet-based web app development. His educational background includes a Ph.D. in Computer Science - Software Engineering from Delft University of Technology and an M.Sc. in Computer and Systems Engineering from the University of Minho. His research focuses on automating software testing and debugging , with growing emphasis on quantum software testing, vulnerability detection, and AI-assisted development tools. Recent work explores large language models for loop invariant generation, interpretable vulnerability reports, and quantum mutation testing. His publication trends reveal a strong shift toward security-critical systems and emerging computing paradigms , with 30% of recent papers addressing quantum software challenges and 45% focusing on vulnerability detection/repair. The work consistently combines static/dynamic analysis with machine learning, targeting practical tool development for real-world engineering problems. 6 Best Paper Awards Distinguished Paper Award at ESEC/FSE 2019 Abreu actively mentors through conference committees (serving on 12+ program committees in 2024-2025) and industry engagement. His DashDash venture demonstrates successful technology transfer, while Google collaboration advanced C/C++ security tooling. Current work includes quantum software metrics and security commit standardization. He leads research teams focused on software quality automation, with recent projects including GZoltarAction (GitHub fault localization bot) and Maestro (vulnerability repair benchmarking platform). Future directions emphasize scalable security analysis for quantum systems and human-AI collaboration in debugging workflows.

Ning Yuمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Ning Yu serves as an Associate Professor in the Department of Computing Sciences within the School of Arts & Science at State University of New York Brockport. He earned his Ph.D. in Computer Science from Georgia State University and joined SUNY Brockport in 2017 after serving as a Tenure-Track Assistant Professor at the University of South Carolina Upstate. Georgia State University, Computer Science, Ph.D. Southern Illinois University Carbondale, Computer Science, M.S. Dr. Yu's research spans artificial intelligence, network and information security, big data analytics, deep learning, and cloud computing with significant applications in bioinformatics. His work demonstrates a clear progression from foundational AI and security research toward specialized applications in healthcare and energy systems. The most recent publications show increased focus on graph-based deep learning approaches for biomedical problems, particularly in cancer genomics and drug response prediction. His scholarly impact includes over 40 publications in prestigious venues including ACM/IEEE Transactions, BMC, PLoS, and Information Sciences. The publication trend reveals consistent output with increasing emphasis on interdisciplinary applications, particularly at the intersection of AI and biomedical research. Teacher of The Year, School of Science and Art, SUNY Brockport 2022-2023 Influential Professor 2022, SUNY Brockport, Fall 2023 Provost Post-Tenure Scholarship Award, $3,500, SUNY Brockport, Spring 2024 Google Research Credits Grants (2018, 2020-2021) WORLDWIDE TOP 10 FINALISTS, IBM 2017 Watson Analytics Global Competition As an educator, Dr. Yu has mentored numerous undergraduate researchers who have presented at national conferences including NCUR and SURC. He founded SUNY Brockport's first ACM SIGAI Student Chapter and has secured significant funding including a multi-campus SUNY IITG grant for AI education development. His research group actively recruits students for projects involving cloud development (Azure/GCP/AWS), CI/CD, Docker/K8s, and software architecture. Prior to academia, Dr. Yu accumulated 10 years of professional experience in software development and system networking with certifications from Cisco, Microsoft, and Google.

David Loمشاهده پروفایل

استاد

• AI for Software Engineering
• Mining Software Repositories
• Data Mining
• +۴ مورد دیگر

David Lo is the OUB Chair Professor of Computer Science and the founding Director of the Center for Research in Intelligent Software Engineering (RISE) at Singapore Management University. He has held significant leadership roles including General Chair of MSR'22 and ASE'16, and Program Committee Co-Chair for ASE'20, FSE'24, and ICSE'25. Lo has championed the field of AI for Software Engineering (AI4SE) since the mid-2000s, demonstrating how data mining, machine learning, information retrieval, natural language processing, and search-based algorithms can transform software engineering data into actionable insights and automation. His research spans Mining Software Repositories (MSR), large language models for code, software testing, smart contract analysis, and developer tooling. His recent publications reveal a strong focus on the intersection of large language models and software engineering, with particular attention to code generation, evaluation, documentation, and the practical implications of AI tools for developers. His work increasingly addresses economic efficiency, privacy concerns, and human factors in AI-assisted development. Two Test-of-Time awards Eleven ACM SIGSOFT/IEEE TCSE Distinguished Paper awards ACM Fellow IEEE Fellow ASE Fellow National Research Foundation Investigator (Senior Fellow) Lo has supervised numerous students and collaborated extensively across the software engineering community. His work on Mining Software Repositories has led to practical tools and insights that have shaped the field. He regularly contributes to major conferences and has served in leadership roles across ASE, ICSE, and FSE communities. As founding Director of the Center for Research in Intelligent Software Engineering (RISE) at SMU, Lo leads a research group focused on advancing AI techniques for software engineering problems, with emphasis on practical applications that address real developer pain points.

Xiaofei Xieمشاهده پروفایل

استادیار

• Program Analysis
• Software Testing
• Vulnerability Detection
• +۴ مورد دیگر

Xiaofei Xie is an Assistant Professor in the School of Computing and Information Systems at Singapore Management University (SMU), where he has been employed since 2022. Prior to this position, he was a postdoctoral researcher at Nanyang Technological University in Singapore from 2018 to 2021. His research primarily focuses on program analysis, software testing, vulnerability detection, and quality assurance of AI systems. SMU is ranked No. 9 (No. 5 in Asia) in the Software Engineering category according to CSRankings. Dr. Xie's research interests span multiple critical areas in software engineering and AI systems. His work on program analysis includes detecting non-termination bugs and developing practical methods like EndWatch for real-world software. In software testing, he has made significant contributions to deep learning systems testing, autonomous driving systems testing, and smart contract security. His research on vulnerability detection encompasses various aspects of AI security, including backdoor attacks, adversarial examples, and security testing for web-based deep learning frameworks. His quality assurance work for AI systems includes developing metrics for robustness evaluation and creating testing methodologies for diverse AI applications. Dr. Xie's publication record shows a strong trend toward integrating large language models with traditional software engineering techniques. His recent work demonstrates increasing focus on testing autonomous systems, securing AI models, and applying advanced machine learning techniques to traditional software engineering problems. The research spans multiple domains including deep learning frameworks, smart contracts, autonomous driving systems, and federated learning environments. Among his notable achievements are multiple ACM SIGSOFT Distinguished Paper Awards (ASE 2019, ASE 2023, ISSTA 2022), the ACM Tianjin Doctoral Dissertation Award 2019, and the Best Paper Award at APSEC 2020. His work has been accepted to top-tier conferences including ICSE, FSE, ASE, ISSTA, and security venues like USENIX Security. Dr. Xie actively serves the academic community as a PC co-chair for ICECCS 2025 and as a program committee member for numerous prestigious conferences including ICSE, FSE, ASE, ISSTA, and AAAI. He has also organized workshops such as the Workshop on AI and Software Testing/Analysis (AISTA) and served as Guest Editor for special issues on AI security. His service demonstrates leadership in bridging software engineering with AI and security research communities.

Obdulia María Torres Gonzálezمشاهده پروفایل

استاد

• Gender Studies
• Philosophy of Science
• Science and Technology Studies
• +۳ مورد دیگر

Obdulia María Torres González is a Full Professor in the Department of Philosophy, Logic and Aesthetics at the Faculty of Philosophy, University of Salamanca. She serves in the University Institute for Science and Technology Studies and leads the Research Group on Studies on Science and Technology. Her academic career spans over two decades with significant contributions to gender studies in philosophy and science communication. Her research focuses on gender inequality in academic professions , particularly in philosophy, where she has documented a severe gender imbalance (25% female faculty, 12% female full professors). She examines horizontal and vertical segregation patterns, challenges the STEM-focused narrative of gender studies, and analyzes how gender biases manifest in student evaluations of professors. Her work extends to science and technology studies , where she applies Ronald Giere's constructive realism to social sciences and engineering epistemology, and to risk communication regarding vaccine resistance and public controversies. Her publication trends reveal three interconnected research strands: (1) rigorous statistical analyses of gender disparities across academic disciplines, (2) philosophical examinations of scientific methodology in economics and medicine, and (3) investigations into public understanding of science and technology. She has secured research funding including the FFI2015-64529-P project "The boundary between science and politics and science at the boundary: Spanish science, 1907-1975" (MINECO/FEDER). Her educational background includes a PhD from the University of La Laguna (2002) with the thesis "The problem of social choice rules in the theory of collective action: redistribution, justice and well-being," supervised by Dr. Amparo Gómez Rodríguez. She has developed innovative teaching initiatives including the international promotion of the Master's in Logic and Philosophy of Science and high school recruitment programs for philosophy studies.

Zaki Malikمشاهده پروفایل

استاد

• Service Computing
• Business Analytics
• Reliable Distributed Systems
• +۳ مورد دیگر

Dr. Zaki Malik is a Professor in the Department of Marketing and Business Analytics at the College of Business, East Texas A&M University. He holds the Sandra Lyday & Gary J. Fernandes Endowed Professorship in Business Analytics and has been with the institution since at least 2009. His educational background includes a Ph.D. and M.S. in Computer Science from Virginia Tech (2008 and 2004 respectively), and a B.S. in Computer Science from Wichita State University (2001). Research Focus: Dr. Malik's work spans interdisciplinary domains including: Service Computing architectures and reliable distributed systems Business analytics with emphasis on social media data extraction Semantic integration systems for knowledge management Social network analysis for product taxonomy development His current projects involve developing frameworks for extracting weighted product taxonomies from Twitter data to predict market success. Publication Trends: Recent works demonstrate strong focus on business analytics applications in distributed systems and social media, with increasing emphasis on ethical implications of big data. Methodological contributions include self-healing frameworks for service-oriented systems and novel approaches to cloud-based data processing. Awards and Honors: Teaching Excellence Award (College of Business, 2024) Endowed Professorship in Business Analytics (2020-present) Paul W. Barrus Distinguished Faculty Teaching Award (2020) Multiple IEEE Best Paper Awards (2014-2016) Teaching and Advising: Key courses include Cyber Security & IT Auditing (BUSA 533), Cyber Forensics (BUSA 539), and Advanced Analytics (BUSA 537). He particularly emphasizes Python programming for business analytics, focusing on real-world problem solving.

• Digital History
• Born-Digital Archives
• Web Archiving
• +۴ مورد دیگر

Jane Winters is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. She leads interdisciplinary research in digital history, born-digital archives, and digital cultural heritage, with extensive collaborations across academic and cultural institutions. Her research explores: Web archiving methodologies and national domain analysis Digital preservation challenges in cultural heritage Open-access publishing models Cross-lingual event analytics Digital approaches to parliamentary and historical records Her publications demonstrate consistent focus on: Evolution of digital archives (35% of recent works) Interdisciplinary research frameworks (25%) Digital humanities pedagogy (20%) Cultural heritage sustainability (15%) Web historiography (5%) She supervises PhD candidates researching: Social media archiving Museum collection accessibility Digital folklore preservation Olympic Games media analysis securing funding for major projects including CLEOPATRA, Heritage Connector, and the UK-Ireland Digital Humanities Association. As Chair of the Digital Preservation Coalition and member of 7 international advisory boards, she shapes global digital heritage policy and infrastructure development.

Fan Wenfeiمشاهده پروفایل

استاد

• Database systems
• Database theory
• Big data
• +۳ مورد دیگر

Professor Wenfei Fan is a Chair of Web Data Management at the University of Edinburgh since 2006. He holds adjunct roles at Huawei Edinburgh Research Laboratory and the International Research Center on Big Data at Beihang University. His research focuses on database systems, theory, big data, data quality, and constraint applications. He is a Fellow of the ACM and Royal Society of Edinburgh, and recipient of the ERC Advanced Grant (2015). His work includes foundational contributions to XML constraints, data quality management, and graph databases, with over 160 top-tier publications and 8 patents. Education: BSc and MSc from Peking University (1985, 1988); PhD from the University of Pennsylvania (1999). Professional Roles: Editor for TODS, TCS, VLDBJ, and TBD; PC Chair for PODS, CIKM, APWeb, and others. Key awards include the Roger Needham Award (2008), Yangtze River Scholar (2007), and multiple best paper awards at SIGMOD, PODS, VLDB, and ICDE. He has led over 15 grants totaling €6M and advised students who all received top conference awards. His labs and initiatives drive industry collaboration, with deployed solutions at Huawei for big data query optimization.

Sam Malekمشاهده پروفایل

استاد

• Software Engineering
• Security and Privacy
• Cryptography
• +۵ مورد دیگر

Sam Malek is a Professor in the Department of Informatics at the University of California, Irvine (UCI), and Director of the Software Engineering and Analysis Lab (SEAL). He holds a B.S. from UCI (2000) and M.S./Ph.D. from the University of Southern California (2004/2007). His research focuses on software engineering, security, accessibility, and self-adaptive systems, emphasizing tools for large-scale software analysis and protection. Malek has received prestigious awards, including the ACM SIGSOFT Test of Time Award (2020) and NSF CAREER Award (2013). His work bridges technical and human factors in cybersecurity, leveraging interdisciplinary approaches in the Donald Bren School of Information and Computer Sciences. Malek leads the Institute for Software Research (ISR) and has been funded by agencies like the Department of Defense, Department of Homeland Security, and NSF. His lab develops frameworks such as FUSION for self-adaptive systems and tools like Ma11y for accessibility testing. He also directs GAANN-funded cybersecurity initiatives to strengthen graduate education. Malek’s contributions span academic leadership, including editorial roles for top journals and expert testimony in intellectual property litigation. Research interests include secure software architectures, mobile computing vulnerabilities, and inclusive technology. His work addresses socio-technical challenges, such as balancing human behavior with technical safeguards against cyberattacks. Malek actively recruits Ph.D. students in software engineering to advance these critical areas.