• Ying XieDefault

    Position:Professor of Information Systems
    Phone: (470) 578-2143
    Email: yxie2@kennesaw.edu
    Location: J 360
    Website

  • Sanjoosh

    Name: Sanjoosh Akkineni

    Bachelor’s Degree: Computer Science, Jawaharlal Nehru Technological University, India

    Master’s Degree: Computer Science (Concentration in Data Analytics), Kennesaw State University

    Work History:

    • Data Science and Analytics Graduate Intern, Equifax, 2017 – Present
    • Graduate Research Assistant, Kennesaw State University, 2015-2017

    Selected Publications/Presentations:

    • KSU Analytics Day 2018
    • Computing Showcase 2016, 2017

    Service:

    • President - Graduate Student Association (GSA) 2016-2018, Kennesaw State University
    • Treasurer - IEEE Computer Society (IEEE-CS) 2016-2017, Kennesaw State University
    • Secretary - Robotics & Automation Society 2017, Kennesaw State University
    • Peer Leader - International Orientation (2016-2017), Kennesaw State University
    • Law Enforcement Training, Citizens Police Academy, KSU Police Department 2017

    Awards:

    • Won 3rd Prize for Bert’s Big Adventure driving research project – KSU Analytics Day 2018
    • Awarded Udacity Google Developer Scholarship 2018
    • Student of the Year - Division of Student Affairs, Kennesaw State University 2017
    • Graduate Student Involvement Award - International Student Association, Kennesaw State University 2017
    • Golden Key International Honor Society Member

    Professional Objectives: To be a data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods. Primary research interests are in Machine learning, algorithms for massive datasets, large scale optimization, and recommender systems. I want to work in Health Care and Government (not finite to these as I am still exploring my research interests) to build an appropriate data framework that can utilize advanced analytic means to aggregate data effectively to gain in depth insights.

    Linh Le

     

    Name: Linh Le

    Bachelor’s Degree: Engineer Degree in Information Technology, Focus on Computer Network and Telecommunication, Hanoi University of Science Technology

    Master’s Degree: Master of Science in Information Systems, Marshall University

    Courses taught: STAT 3010 Computer Application of Statistics, Fall 2016, Kennesaw State University

    Selected Publications/Presentations:

    • Ying Xie, Linh Le, Yiyun Zhou, Vijay Raghavan, Deep Learning for Natural Language Processing, Computational Analysis and Understanding of Natural Languages, 2018
    • Bogdan Gadidov, Linh Le, A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma, In Proceedings of SAS Global Forum 2018
    • Ying Xie, Linh Le, Jie Hao, Unsupervised Deep Kernel for High Dimensional Data, In Proceeding of the 30th IEEE International Joint Conference on Neural Networks
    • Linh Le, Jie Hao, Ying Xie, Jennifer Priestley, Deep Kernel: Learning the Kernel Function from Data Using Deep Neural Network, In Proceedings of the Third IEEE/ACM International Conference on Big Data Computing, Applications and Technologies
    • Ying Xie, Chenna Pooja, Linh Le, Visualization of High Dimensional Data in a Three Dimensional Space, In Proceedings of the Third IEEE/ACM International Conference on Big Data Computing, Applications and Technologies
    • Linh Le, Jennifer Priestley, Using the OPTGRAPH Procedure: Transformation of Transactional Data into Graph for Cluster Analysis, In Proceedings of SAS Global Forum 2017

    Service and Awards:

    • Best Paper in Research Track, Southern Data Science Conference 2018
    • Ph.D. Research and Publication Award, Analytics and Data Science Institute, Kennesaw State University, 2017
    • Winner in the student poster competition – SAS Analytics Experience 2016 Conference
    • First Place in the HPCC Systems 2016 Poster Presentation Competition – HPCC Systems Engineering Summit in 2016
    • Xie, Y., Le, L., and Zhou, Y. (2017) Dual Deep Learning Framework for Big and Unstructured Data. US Patent Application No. 62562898

    Professional Objectives: I like doing research in an academic environment, so I plan to find a faculty position in a university.

    LinkedIn

 

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