Dr. Songmei Yu

Professor
Computer Science
School of Business and Information Sciences
Phone: 201.559.3166
Email: YuS@felician.edu

Academic Accomplishments
  • PhD, Rutgers University
  • MS State University of New York at Stony Brook
  • BS, Sichuan University
Biography

Dr. Songmei Yu finished her undergraduate education in Civil Engineering and worked as an Engineer for a few years. She obtained MS in Computer Science from SUNY Stony Brook in 2000 and then worked as a Software Engineer. She obtained Ph.D. in Information Technology from Rutgers University in 2006 and joined Felician University in 2008. She is a passionate educator and committed researcher.

Positions Held:
  • Professor of Computer Science, Felician University (2021-Present)
  • Associate Professor of Computer Science, Felician University (2013–2021)
  • Assistant Professor of Computer Science, Felician University (2008-2013)
Field(s) of Interest/Expertise

Research interests include Web Mining dedicated to Web Community Search and Discovery, Efficiency and Effectiveness of Distance Learning, and Data Warehouse and Data Modeling.
Teaching interests include Database Systems, Data Warehouse and Data Mining, Programming Courses, Game Development, Web Scripting and Development.

Courses Taught at Felician University
  • CS 103 Introduction to Advanced Computer Applications
  • CS 110 Intro to Programming I
  • CS 270 Intro to Programming II
  • CS 280 Computer Organization and Architecture
  • CS 295 Principles of Programming Languages
  • CS 317 Computer Informatics, Privacy, and Security for Health Care Professionals
  • CS 360 Database Management Systems
  • CS 391 Game Development
  • CS 430 Intro to Data Mining and Big Data
  • CS 630 Information Systems /Technology and Management of Data
  • CS 645 Advanced Web Design and Scripting Languages
  • CS 675 Advanced Data Mining
  • CS 685 Advanced Game Development
  • CS 691 Human Computer Interaction
  • CSEC 435 Secure Software Development
Publications/Research
  • Songmei Yu, “Scoring Sentiment by Relating Emojis to Slangs in Social Media”, Proc. of the 24th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2020), September 2020 (Virtual)
  • Songmei Yu and Sofya Poger, “Differentiating Computer Science Courses in Undergraduate and Graduate Level”, Proc. of 2020 Consortium for Computing Sciences in Colleges of North Eastern Region (CCSCNE 2020), April 2020 (Virtual)
  • Songmei Yu and Sofya Poger, “Modeling Social Influence in Mobile Messaging Apps”, Proc. of 2019 International Conference in Web Services (ICWS 19), San Diego, CA, 2019
  • Sofya Poger and Songmei Yu, “Teaching Online Computer Science Classes by Grouping Students for More Individualized Approach”, Proc. of 2019 Consortium for Computing Sciences in Colleges of North Eastern Region (CCSCNE 2019), University of New Haven, CT, 2019
  • Farnaz Arab, Mazdak Zamani, Sofya Poger, Carol Manigault and Songmei Yu, “Current Problems of Video Watermarking Techniques”, Proc. of 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT 2019), Hawaii, 2019
  • Songmei Yu and Sofya Poger, “Using a Temporal Weighted Data Model to Maximize Influence in Mobile Messaging Apps”, Proc. of 2017 Consortium for Computing Sciences in Colleges North Eastern Region (CCSCNE 2017), NY, 2017
  • Songmei Yu, Sofya Poger and Alberto LaCava, “Mining Forums for Asynchronous Learning in Distance Education”, Proc. of 2011 Consortium for Computing Sciences in Colleges North Eastern Region (CCSCNE 2011), MA, 2011
  • Songmei Yu, Sofya Poger and Alberto LaCava, “Teaching Computer Information Systems Courses in Three Ways: Traditional, Hybrid and Online”, Presented in 2010 The Teaching Professor Conference, MA, 2010.
  • Songmei Yu, Vijay Atluri and Nabil Adam, “Chapter 3: Preview – Optimizing View Materialization Cost in Spatial Data Warehouses”, Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications, IGI Global Press Inc, 2009.
  • Songmei Yu, Vijay Atluri and Nabil Adam, “Cascaded Star: a Data Model for Hyper-dimensional Data Warehouses”, Proc. of 17th International Conference on Database and Expert Systems Applications (DEXA’06, acceptance rate: 90/388), Poland, 2006.
  • Songmei Yu, Vijay Atluri and Nabil Adam, “Preview: Optimizing View Materialization Cost in Spatial Data Warehouses”, Proc. of 8th International Conference on Data Warehousing and Knowledge Discovery (DaWak’06, acceptance rate: 52/199), Poland, 2006.
  • Songmei Yu, “Hierarchical Metadata Driven View Selection for Spatial Query Evaluations”, Proc. of the 6th International Conference in Web-Age Information Management (WAIM’05, acceptance rate: 99/488), China, 2005.
  • Songmei Yu, Vijay Atluri and Nabil Adam, “Selective View Materialization in a Spatial Data Warehouse”, Proc. of the 7th International Conference on Data Warehousing and Knowledge Discovery (DaWak’05, acceptance rate: 52/196), Denmark, 2005.
  • Nabil Adam, Vijay Atluri, Dihua Guo and Songmei Yu, “Chapter 18: Challenges in Environmental Data Warehousing and Mining”, Data Mining: Next Generation Challenges and Future Directions, AAAI Press/The MIT Press, 2004.
  • Nabil Adam, Vijay Atluri, Dihua Guo and Songmei Yu, “Knowledge Discovery for Scientific Data”, Proc. of NSF Workshop on Next Generation of Data Mining (NGDM’02), Maryland, 2002.
  • Nabil Adam, Vijay Atluri, Songmei Yu and Yelena Yesha, “Efficient Storage and Management of Environmental Information”, Proc. of the 19th IEEE Symposium on Mass Storage Systems and Technologies (MSST’02), Maryland, 2002.