Dr. Songmei Yu

Associate Professor
Computer Science
Phone: (201) 559-6000 Ext. 6227
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 as an Assistant Professor. She was promoted to Associate Professor in 2013. She is a passionate educator and committed researcher.

Positions Held:
  • Associate Professor of Computer Science & Cybersecurity, Felician University (2013–present)
  • Assistant Professor of Computer Science & Cybersecurity, 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
  • 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
  • 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
  • Computer Fraud: Financial and Ethical Implications
  • Review of Business, SJU Publisher, Issue Nov.1998. Patrick Casabona and Songmei Yu
  • 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
    Using a Temporal Weighted Data Model to Maximize Influence in Mobile Messaging Apps for
  • Computer Science Education
    Proceedings of 2017 Consortium for Computing Sciences in Colleges North Eastern Region (CCSCNE 2017), Albany NY, 2017, with Dr. Sofya Poger.
  • Cascaded Star: a Data Model for Hyper-dimensional Data Warehouses
  • Proc. of 17th International Conference on Database and Expert Systems Applications, 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, Vijay Atluri and Nabil Adam
    Hierarchical Metadata Driven View Selection for Spatial Query Evaluations
  • Proc. of the 6th International Conference in Web-Age Information Management, China, 2005. Songmei Yu
    Selective View Materialization in a Spatial Data Warehouse
  • Proc. of the 7th International Conference on Data Warehousing and Knowledge Discovery, Denmark, 2005. Songmei Yu, Vijay Atluri and Nabil Adam
  • Knowledge Discovery for Scientific Data
  • Proc. of NSF Workshop on Next Generation of Data Mining, Maryland, 2002. Nabil Adam, Vijay Atluri, Dihua Guo and Songmei Yu
  • Efficient Storage and Management of Environmental Information
  • Proc. of the 19th IEEE Symposium on Mass Storage Systems and Technologies (MSST’02), Maryland, 2002. Nabil Adam, Vijay Atluri, Songmei Yu and Yelena Yesha