جست‌وجوی استاد و پژوهشگر

Song Wangمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Software Reliability
• +۵ مورد دیگر

Song Wang is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering since May 2024. Previously, he served as an Assistant Professor at the same institution from July 2019 to May 2024. He earned his Ph.D. in Computer Engineering from the University of Waterloo in December 2018 under Prof. Lin Tan, an MS degree from the Chinese Academy of Sciences in June 2014 under Profs. Ye Yang and Wen Zhang, and BE and BHRM degrees from Sichuan University in June 2011. Dr. Wang's research focuses on the intersection of Software Engineering and Artificial Intelligence, with two main thrusts: 1) leveraging AI technologies to address software reliability challenges (AI for SE), and 2) developing software reliability techniques to improve AI infrastructure systems (SE for AI). His specific interests include software testing, program analysis, software reliability, and machine learning applications in software engineering. His research has led to tools that have detected hundreds of true bugs across various open-source projects. His recent publications reveal a strong focus on applying large language models to software engineering tasks, analyzing vulnerabilities in deep learning libraries, and developing techniques for software testing and reliability. The research spans multiple subfields including API testing, vulnerability detection, bias analysis in generated code, and automated assurance case generation. TOSEM Distinguished Reviewer Award 2023 APSEC'23 Distinguished Paper Award ACM SIGSOFT Distinguished Paper Award (ICPC 2022) ACM SIGSOFT Distinguished Paper Award (ICSE 2020) Best Paper Award at PROMISE 2019 Dr. Wang actively mentors students at all levels, currently supervising multiple PhD and MASc students. His research group has produced numerous publications in top-tier software engineering venues, including ICSE, FSE, ASE, and TOSEM. He also serves on the editorial board of ACM TOSEM and has been involved in organizing major conferences like ASE and CASCON.

Eduardo Luis Fracchiaمشاهده پروفایل

استاد

• Strategy
• Applied Economics
• Macroeconomics
• +۳ مورد دیگر

Eduardo Luis Fracchia is a Professor of Economics and Finance and Director of the Economics Department at IAE Business School, Austral University. He teaches across all IAE programs including MBA, Executive MBA, Senior Management, Management Development, and Small and Medium-Sized Business courses. His academic credentials include a PhD in Business Administration from IESE, University of Navarra (2002) with thesis on corporate strategy responses of Argentine economic groups, alongside dual undergraduate degrees in Industrial Engineering (1984) and Economics (1986) from the University of Buenos Aires. Professor Fracchia specializes in Strategy and Applied Economics, with research focusing on Macroeconomics, International Economics, and Sector Studies. His work analyzes Argentina's international and local economic situation through case studies, technical notes, and publications addressing inflation dynamics, trade policy, and economic forecasting. He has authored books including Applied Macroeconomics (Ed. Planeta) and The Two Shores (Ed. McGraw Hill). His recent publications demonstrate consistent engagement with Argentina's economic challenges, spanning monthly economic reports, trade balance analyses, inflation projections, and gender gap assessments. These works reveal strong thematic continuity in examining structural economic issues while adapting to emerging global trends like tariff volatility and workforce transformation. Scientific Awards: No scientific awards were documented in the source materials. Advising and Grants: No information regarding student supervision, research grants, or funded projects was provided in the available documentation. Labs and Teams: No specific research laboratories, collaborative teams, or institutional research units were mentioned in connection with Professor Fracchia's work.

• Documentary databases
• Information retrieval
• Bibliometric studies
• +۵ مورد دیگر

Marta Somoza Fernández is a Professor in the Department of Library Science, Documentation and Audiovisual Communication at the Faculty of Information and Audiovisual Media, University of Barcelona. With over two decades of academic experience since 1999, she has established herself as a prominent figure in information science and library studies. Dr. Somoza Fernández holds a degree in Contemporary History (1989), Cultural Anthropology (1995), and a doctorate in Documentation (2009), all from the University of Barcelona. Her academic journey reflects a deep commitment to the evolution of information management and scholarly communication. Her research focuses on documentary databases, information retrieval systems, bibliometric studies, and user training methodologies. She has pioneered approaches to evaluating interactive tutorials developed by academic libraries, analyzing journal visibility in emerging citation indexes, and identifying predatory journals in bibliographic databases. Her work bridges theoretical frameworks with practical applications in library science. Analysis of her recent publications reveals a consistent focus on bibliometric evaluation of scholarly communication, particularly regarding Spanish journals in international databases. Her research demonstrates growing interest in journal evaluation systems like MIAR (Matrix for Information and Journal Evaluation) and the Emerging Sources Citation Index (ESCI). She has also maintained a strong commitment to information literacy through her studies on interactive training materials for academic libraries. Dr. Somoza Fernández has participated in significant research projects including "i-VIU: Grup d'estudis mètrics sobre el valor i ús d'informació" (2005-2014) and studies on the identification and evaluation of journals in Spanish humanities and social sciences research. Her work has been supported by institutions including the Department of Universities, Research and Information Society of the Catalan Government (DURSI) and the Ministry of Education and Science. Her teaching portfolio spans multiple disciplines within information science, including information sources for scientific research, nursing research methodology, user support and training, and communication techniques. She has developed specialized courses on web tutorials, information retrieval in scientific databases, and bibliography management tools.