Doctoral Degree in Analytics and Data Science


Welcome Message


We launched the first formal PhD program in Data Science in 2015.  Our program sits at the intersection of computer science, statistics, mathematics, and business.  Our students engage in relevant research with faculty from across our eleven colleges.  As one of the institutions on the forefront of the development of data science as an academic discipline, we are committed to developing the next generation of Data Science leaders, researchers, and educators. Culturally, we are committed to the discipline of Data Science, through ethical practices, attention to fairness, to a diverse student body, to academic excellence, and research which makes positive contributions to our local, regional, and global community.   

Sherry Ni, Director, Ph.D. in Analytics and Data Science

About the Doctoral Degree in Analytics and Data Science

This degree will train individuals to translate and facilitate new innovative research, structured and unstructured, complex data into information to improve decision making. This curriculum includes heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills – both oral and written – as well as application and tying results to business and research problems.

Because this degree is a Ph.D., it creates flexibility. Graduates can either pursue a position in the private or public sector as a "practicing" Data Scientist – where continued demand is expected to greatly outpace the supply - or pursue a position within academia, where they would be uniquely qualified to teach these skills to the next generation.


Analytics and Data Science PhD Curriculum

Stage One: Pre-Program Requirements

Stage Two: Coursework

The Ph.D. in Analytics and Data Science requires 78 total credit hours spread over four years of study. Example Program of Study: 



  • 21 credit hours of electives in computer science, statistics, mathematics, information technology, or other area by permission. 
  • Research Proposal 


  • DS 9700 Doctoral Internship/Research Lab
  • DS 9900 Dissertation
  • Teaching
  • Dissertation Proposal Defense


  • DS 9900 DissertationFinal Dissertation Defense

Stage Three: Project Engagement and Research/Dissertation

Relevant, interdisciplinary research forms the foundation of the Ph.D. in Analytics and Data Science. While students are encouraged to engage in research from their first semester, the last two years of the program are structured to help students transition into becoming independent, lead researchers. In this last stage of the program, students will work with research faculty, including their advisor, in one of our data science research labs.

Admission Requirements and Application

Requirements for Admission





Frequently Asked Questions (FAQ)

Here are the most commonly asked questions regarding the Ph.D. in Analytics and Data Science program at KSU.

  • How long will the program take?
    This is a traditional Ph.D. Program. We expect that individuals will complete the program in 4-5 years. This will include completion of course work in years 1-3 and completion of Project work and Research/Dissertation work in Year 4-5.

  • How much does the program cost?
    This is a traditional, in-residence, STEM Ph.D. Program - not a professional doctorate. Therefore, qualified students will receive a tuition waiver and a research stipend.

  • Who would be successful in the program?
    Individuals who have an undergraduate/MS degree in a quantitative field (i.e. Engineering, Economics, Mathematics, Statistics, Finance) are particularly strong candidates. Successful applicants will have some previous experience with programming languages as well as have completed a calculus series.

  • Where do these graduates work after graduation?
    The Ph.D. in Analytics and Data Science is a flexible degree which will enable graduates to work in the private sector as a senior executive in an analytics organization as well as pursue a career in academics - teaching the next generation of data scientists.

  • What are the publication/research requirements?
    Successful completion of the program will require students to defend a doctoral research dissertation. Students, working with their faculty research advisor, will be expected to submit research papers to competitive conferences and to peer-reviewed journals. Student research projects should be aligned with their project engagement requirement.

  • What is the Project Engagement requirement?
    Successful completion of the program will require students to complete a minimum of 9 credit hours in Project Engagement, which will take the form of a research project (as approved by the director) with an external sponsor in the private or public sector. Kennesaw State University has relationships with dozens of organizations across a wide range of application domains to ensure that individuals have the opportunity to participate in a project engagement aligned with their research interests.

  • Can I pursue the program part time while I am working full time?
    No. The program is a full-time traditional Ph.D. program. Students will engage in substantive project-based work, research, teaching, and internship/practicums. Students receive a research stipend to cover living costs.

  • Can I live on campus?
    Yes. The university provides on-campus housing at both our Kennesaw and Marietta campuses. There is also off campus student housing within a mile of the campus - most of which is on the bus line for the university.

  • Are the courses online?
    No. The courses are face-to-face and in-class. Most courses have a student-faculty ratio of less than 15 students per faculty. All Ph.D. students will have a faculty advisor.

  • Do I have to have a masters degree to apply?
    Most applicants have already successfully completed a masters degree in a computational discipline (e.g., engineering, computer science, statistics). Applicants without a masters degree can apply to the MS in Computer Science or the embedded MS in Applied Statistics. 


Student Cohorts

Ph.D. in Analytics and Data Science Cohorts

  • Sanad Biswas

    Sanad Biswas

    Bachelor's Degree: Statistics, Biostatistics and Informatics, University of Dhaka, Bangladesh

    Master's Degree: Statistics, University of Toledo, OH

    Work History: 

    • Research Assistant: US Army Research Lab, Kennesaw State University
    • Consultant, Statistical Consulting Service, University of Toledo
    • Graduate Teaching Assistant, University of Toledo

    Courses Taught: Calculus and Business Calculus, Facilitated students’ study of Statistics courses at the University of Toledo.

    Professional Objective: To work as a researcher in the industry or as a faculty. I am primarily interested in the application of machine learning in different fields.


    Mallika Boyapati 

    Mallika Boyapati

    Bachelor's Degree: 

    Master's Degree: 

    Work History: 

    Courses Taught: 


    Service and Awards:

    Professional Objective: 


    Yang Fu

    Yang Fu

    Bachelor's Degree: Central South University, Hunan, China

    Master's Degree: Business Analytics, Michigan State University 

    Work History

    • Fafnir Lab, Research Associate/Data Scientist
    • LHP Engineering Solutions, Software Intern

    Professional Objective: To work as a data scientist in industry focusing on both research and practical application 


    Nina Grundlingh

    Nina Grundlingh

    Bachelor's Degree: Applied Mathematics and Statistics, University of KwaZulu-Natal, South Africa

    Master's Degree: Statistics, University of KwaZulu-Natal, South Africa

    Courses Taught: Introduction to Statistics, University of KwaZulu-Natal


    • Grundlingh, N., Zewotir, T., Roberts, D. & Manda, S. Modelling diabetes in South Africa. The 61st conference of the South African Statistical Association, 27-29 November 2019, Nelson Mandela University, South Africa.
    • Grundlingh, N., Zewotir, T., Roberts, D. & Manda, S. Modelling diabetes in the South African population. College of Agriculture, Engineering and Science Postgraduate Research & Innovation Symposium 2019, 17 October 2019, University of KwaZulu-Natal, Westville, South Africa (the award for best MSc presentation was also received for this).
    • Grundlingh, N., Zewotir, T., Roberts, D. & Manda, S. Modelling risk factors of diabetes and pre-diabetes in South Africa. IBS SUSAN-SSACAB 2019 Conference, 8-11 September 2019, Cape Town, South Africa.

    Service and Awards:

    • University of KwaZulu-Natal Postgraduate Research & Innovation Symposium 2019 – Best Masters oral presentation
    • South African Statistical Association Honours Project Competition 2018/2019 – 2nd place and special prize for best use of SAS

    Professional Objective: To work in a teaching position – sharing how data science can be applied to different fields and the positive impact it could have. I would like to use my theological background and passion to bring insight, clarity, and wisdom to data science problems. 


    Namazbai Ishmakhametov

    Namazbai Ishmakhametov

    Bachelor's Degree: Specialist in Mathematical Methods in Economics, Kyrgyz-Russian Slavic University

    Master's Degree: Analytics, Institute for Advanced Analytics at North Carolina State University

    Work History: 

    • Expert at the Centre for Economic Research, National bank of the Kyrgyz Republic
    • Consultant in World Bank project dedicated to strengthening the regulatory practices in Kyrgyz Republic
    • Consultant at Deloitte Consulting LLP, Science Based Services group, Analytics & Cognitive offering
    • Macroeconomic modeling expert in the Economic Department, National bank of the Kyrgyz Republic

    Courses Taught: Introductory statistics and econometrics (cross-sections, times series and panels) lecturer at Ata-Turk Alatoo International University, Kyrgyzstan


    Professional Objective: To apply my quantitative skills in the field of biotech either in corporate or government sector


    Symon Kimitei

    Symon Kimitei

    Bachelor's Degrees: Mathematics, Kennesaw State University, and Computer Science,  Kennesaw State University

    Master's Degree: Mathematics (Scientific Computing Concentration), Georgia State University 

    Work History: Senior Lecturer and Math Department Coordinator of Supplemental Instruction, Kennesaw State University

    Courses Taught: Calculus 1, Precalculus, Applied Calculus & College Algebra 


    Poster Presentations:

    • Kimitei, Symon & Sammie Haskin. "Nadaraya-Watson Kernel Regression Longitudinal Analysis of Healthcare Risk Factors of African American and Caucasian American Girls."
      Kennesaw State University R Day Presentation.  11 Nov. 2019. Poster presentation.
    • Kimitei, Symon. " Social Network Analysis in Supreme Court Case Rulings by Precedence Using SAS Optgraph/Python." 23rd Annual Symposium of Scholars. Kennesaw State University.  19 April. 2018. Poster presentation.

    Professional Objective: As a Ph.D. student in Analytics & Data Science, I hope to gain skills in the program that will propel me into a Data Scientist / Machine Learning Engineer with a specialization in the design and implementation of deep learning & machine learning algorithms.



    Jitendra Sai Kota

    Jitendra Sai Kota

    Bachelor's Degree: Computer Science & Engineering, Amrita Vishwa Vidyapeetham, India

    Master's Degree: Computer Science, Florida State University

    Work History: Teaching Assistant Professor in Computer Science at an Engineering College in India

    Courses Taught: Problem Solving & Program Design through C, Artificial Intelligence, Data Mining

    Publications: Kota, Jitendra Sai, Vayelapelli, Mamatha. 2020. "Predicting the Outcome of a T20 Cricket Game Based on the Players' Abilities to Perform Under Pressure". IEIE Transactions on Smart Processing and Computing 9(3):230-237. DOI: 10.5573/IEIESPC.2020.9.3.230

    Professional Objective: to work in Data Science in a Corporate Environment



    Rehma Razzak

    Rehma Razzak

    Bachelor's Degree: Computer Science, Kennesaw State University

    Master's Degree: Computer Science, Kennesaw State University



    • Project: Pedestrian Detection for darker skin-tones - Analyzed correlation between skin tone demographics and pedestrian-related fatalities. Nominated for best research project
    • Project: Battling bots with Random Forest classifiers - Conducted analysis on how many fake accounts on Twitter currently exist via bot-detector made with the Random Forest classifier technique to detect fake accounts on Twitter. Nominated for best research project

    Professional Objective: To work in the industry as a data scientist, such as working in Amazon


    Catrice Taylor

    Catrice Taylor

    Bachelor's Degree: Economics, Clemson University 

    Master's Degrees: Applied Economics and Statistics, Clemson University, and Applied Statistics, Kennesaw State University 

    Professional Objective: To work as an industry data scientist in a corporate environment 


    Sahar Yarmohammadtoosky

    Sahar Yarmohammadtoosky

    Bachelor's Degree: Applied Mathematics, Sheikh Bahaei University, Isfahan, Iran 

    Master's Degree: Applied Mathematics, Iran University of Science & Technology, Tehran, Iran

    Courses Taught: Numerical Analysis and Linear Algebra, Iran University of Science & Technology

    Publications: Noah, G., Sahar, Y., Anthony P. & Hung, C.C. "ISODS: An ISODATA-Based Initial Centroid Algorithm". Accepted to: 10th International Conference on Information, March 6 - 8, 2021, Hosei University, Tokyo, Japan

    Professional Objective: My goal is to become a competent Data Science specialist capable of using my skills to bring meaning to data, getting a faculty position at a university


  • Martin Brown Headshot

    Martin Brown 

    Bachelor's Degree: Mathematics, Swansea University, United Kingdom

    Master's Degree: Mathematics, Murray State University

    Work History: 

    • Graduate Research Assistant, Kennesaw State University, August 2020 to present
    • Graduate Teaching Assistant, Murray State University, August 2018 to May 2020

    Course Taught: Problem Solving in Mathematics

    Publications: Brown, Martin K. W. "Evaluating an Ordinal Output using Data Modeling, Algorithmic Modeling, and Numerical Analysis" (2020). Murray State Thesis and Dissertations 168.

    Awards: David Pryce History of Mathematics Prize 2017-2018

    Professional Objective: To pursue a career in data science, machine learning, and predictive analytics to solve real-world issues 

    InChan Hwang Headshot

    Inchan Hwang

    Bachelor’s Degree: Computer Science, Georgia Southwestern State University

    Master’s Degree: Software Engineering, Ajou University, South Korea

    Courses Tutored: Precalculus, College Algebra, Calculus I at Georgia Southwestern State University

    Work History:

    • Tutoring College Algebra, Calculus I and II at Academic Skills Center, Georgia Southwestern State University
    • Research Assistant at Intelligence of HyperConnected Systems Lab of Ajou University
    • Fullstack web developer, windows system programmer in the cybersecurity industry

    Professional Objective: To work in big data analytics, and research and development of machine learning in engineering, and security


    Duleep Rathgamage Headshot

    Duleep Prasanna Rathgamage Don

    Bachelor's degree: Physics and Mathematics, The Open University of Sri Lanka

    Master's degree: Mathematics, Georgia Southern University

    Work History:

    • Graduate Teaching Assistant, Georgia Southern University, 2016 - 2018
    • Graduate Teaching Assistant, University of Wyoming, 2019 - 2020

    Courses Taught: Trigonometry, and Calculus I & II


    • Don, R. D. and Iacob, I. E., ‘DCSVM: Fast Multi-class Classification using Support Vector Machines’, International Journal of Machine Learning and Cybernetics.
    • Rathgamage Don, D., Iacob, E., ‘Divide and Conquer Support Vector Machine for Multiclass Classification’, Research Symposium (2018), Georgia Southern University.
    • Rathgamage Don, D., Iacob, E., ‘Multiclass Classification using Support Vector Machines’, MAA Southeastern Section Meeting (2018), Clemson University.

    Professional Objective: To work in big data analytics, and research and development of machine learning in engineering, and medicine


    Linglin Zhang HeadshotLinglin Zhang

    Bachelor’s Degree: Biological Sciences, Hubei University, China

    Master’s Degree: Chemical Biology, University of Michigan and Bioinformatics, Georgia Institute of Technology

    Selected Publications: Rebecca Shen, Zhi Li, Linglin Zhang, Yingqi Hua, Min Mao, Zhicong Li, Zhengdong Cai, Yunping Qiu, Jonathan Gryak, Kayvan Najarian. (2018). Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 690-693, 2018.

    Professional Objective: To become a researcher in industry or academia. My background in Biology and Bioinformatics could provide me strong theoretical support on a research role in the health industry. The experience of doing an internship at Equifax equipped me of certain knowledge on business cases. 


     Yihong Zhang Headshot

    Yihong Zhang

    Bachelor’s Degree: Psychology Mathematics Interdisciplinary, Chatham University

    Master’s Degree: Mathematics and Statistics Allied with Computer Science, Georgia State University

    Work History:

    • Research Assistant - Collaborated with biomedical department to analyze and visualize microarray gene expression data, Facilitated in data pre-processing and machine learning modeling of clinical liver cirrhosis image data, Assisted in feature engineering of image analysis in deep learning for pathology diagnosis with Mayo Clinic’s pilot project.
    • Graduate Lab Assistant - Tutored students with statistics and math subjects.

    Professional Objective: Make better use of data in healthcare and bioinformatic industry as a data scientist.

  • Trent GeislerTrent Geisler

    Bachelor’s Degree: Mathematical Sciences, United States Military Academy at West Point

    Master’s Degrees: Operations Research, Georgia Tech; Business Administration, Georgia Tech

    Work History:

    • Instructor, Department of Mathematical Sciences, United States Military Academy, 2013-2016
    • Analyst for the Directorate of Research, Army Marketing and Research Group, 2016-2019

    Courses Taught: Integral Calculus, Probability and Statistics, Multivariate Statistics, Financial Investments, and Computational Finance; United States Military Academy.

    Professional Objectives: to work on and help solve the U.S. Government’s toughest problems.

    Srivatsa MallapragadaSrivatsa Mallapragada

    Bachelor’s Degree:  Mechanical Engineering, Andhra University College of Engineering, India

    Master’s Degree: Mechanical Engineering, University of North Carolina at Charlotte

    Work History:

    • Continuous Improvement Intern, Daimler Trucks North America at Cleveland, North Carolina, USA
    • Computational Fluid Dynamics (CFD) Graduate Research Assistant, NC Motorsports and Research Laboratory
    • Manufacturing Intern, Caterpillar India Pvt Ltd, Sriperambudur, India

    Selected Publications/Presentations:

    • Mallapragada, S. (2017). Computational Investigations on the Aerodynamics of a Generic Car Model in Proximity to a Side Wall (Master’s thesis, The University of North Carolina at Charlotte).
    • Uddin, M., Mallapragada, S., & Misar, A. (2018). Computational Investigations on the Aerodynamics of a Generic Car Model in Proximity to a Side-Wall (No. 2018-01-0704). SAE Technical Paper.
    • Dimensionality Reduction of Hyperspectral Images for Classification, Srivatsa, M., Michael, W. & Hung, C. C. Ninth International Conference on Information ISSN: 1343-4500
    • Bounds, C., Mallapragada, S., and Uddin, M., "Overset Mesh-Based Computational Investigations on the Aerodynamics of a Generic Car Model in Proximity to a Side-Wall," SAE Int. J. Passeng. Cars - Mech. Syst. 12(3):211-223, 2019,
      Service and Awards: Base SAS Programmer V9

    Professional Objectives: I am currently working in unsupervised pattern recognition in high dimensional data sets. After I graduate, I would like to pursue a career in Data Science and Machine Learning in the corporate environment.


    Sudhashree SayenjuSudhashree Sayenju

    Bachelor’s Degree: Computer Science, Jacobs University Bremen, Germany

    Master’s Degree: Computer Science, Albert-Ludwigs University Freiburg, Germany

    Work History:

    • Research Assistant, Smart Grid Systems: Software Development and Improvement, Fraunhofer-Institut für Solare Energiesysteme, Freiburg, Germany, 2014
    • Software Developer, Data Science: Data Analysis using Statistical Pattern Recognition and Machine Learning, Reservix GmbH, Freiburg, Germany, 2017-2018

    Professional Objectives: I aim to work in a corporate environment where I can use the knowledge I acquired here in real world applications.

    Christina StradwickChristina Stradwick

    Bachelor’s Degree: Music Performance and Mathematics, Marshall University

    Master’s Degree: Mathematics with Emphasis in Statistics, Marshall University

    Courses Taught: Prep for College Algebra at Marshall University

    Selected Presentations:

    • Stradwick, C. Exploring the Variance of the Sample Variance. Spring Meeting of the Mathematical Association of America Ohio Section, University of Akron, 2019.
    • Stradwick, C., Vaughn, L., Hanan Khan, A. Data Modeling on Insurance Beneficiary Dataset. College of Science Research Expo 2018, Marshall University, 2018. Poster Presentation.
    • Stradwick, C. Disease modeling on networks. The 13th Annual UNCG Regional Mathematics and Statistics Conference, University of North Carolina at Greensboro, 2017. Poster Presentation.

    Professional Objectives: To work as a researcher in industry or in a laboratory setting. I would like to use my background in mathematics and statistics to develop novel solutions that address limitations in current data science techniques and to apply known data science methods to solve real-world problems.


  • Md Shafiul AlamMd Shafiul Alam

    Bachelor’s Degree: Mathematics, University of Dhaka, Bangladesh

    Master’s Degrees: Computational Mathematics, Western Kentucky University, and Applied Mathematics, University of Dhaka, Bangladesh

    Work History:

    • Graduate Research Assistant, Kennesaw State University, August 2018 to present
    • Teaching Assistant, Western Kentucky University, August 2016 to May 2018
    • Credit Analyst, Jamuna Bank Ltd, Bangladesh, June 2012 to July 2016

    Courses taught: Calculus I and II, Western Kentucky University, Fall 2016 to Spring 2018

    Professional Objective: To work as a researcher in the industry or as a faculty in a university. My research focus is broadly on Machine Learning and Artificial Intelligence.


    Jonathan BoardmanJonathan Boardman

    Bachelor’s Degree: Physics, Occidental College

    Master’s Degree: Applied Statistics, Kennesaw State University

    Work History:

    • Graduate Research Assistant, Kennesaw State University, May 2017 – July 2018
    • Graduate Assistant, Kennesaw State University, August 2016 – May 2017

    Courses taught: MATH 1107: Introductory Statistics, Kennesaw State University, Spring 2017

    Selected Publications/Presentations:

    • Jonathan Boardman, Kyle Biron, Ryan Rimbey; Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS; SAS Global Forum Proceedings, 2018.
    • Kyle Biron, Jonathan Boardman; Proper Preprocessing Prevents Poor Profits: Mitigating Loss Due to Credit Card Fraud Using Xgboost and SMOTE + Tomek Link Undersampling; KSU Analytics Day, 2018.
    • Jonathan Boardman, Kyle Biron, Ryan Rimbey; Which Classifier is Most Robust to Class Imbalance?; KSU R Day, 2017.


    • 2017-2018 Outstanding Graduate Student Award: Master of Science in Applied Statistics; KSU – College of Science and Mathematics
    • Outstanding Graduate Award 2017-2018; KSU – Graduate College
    • Top 8 SAS Global Forum 2018 Student Symposium Finalist
    • KSU Analytics Day 2018 2nd Place Graduate Poster
    • KSU R Day 2017 2nd Place Graduate Poster

    Professional Objective: To work in predictive analytics, designing and implementing novel machine learning solutions to problems in science and business.


    Tejaswini MallavarapuTejaswini Mallavarapu

    Bachelor’s Degree: Pharmacy, Acharya Nagarjuna University, India

    Master’s Degree: Computer Science, Kennesaw State University

    Work History:

    • Graduate Research Assistant, Kennesaw State University, 2017-present
    • Research Analyst, Divis Laboratories, 2013-2014

    Selected Publications:

    • T. Mallavarapu, Y. Kim, J.H. Oh, and M. Kang, "R-PathCluster: Identifying Cancer Subtype of Glioblastoma Multiforme Using Pathway-Based Restricted Boltzmann Machine," Proceedings of IEEE International Conference on Bioinformatics & Biomedicine (IEEE BIBM 2017), International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics, Accepted, 2017.
    • M.R. Shivalingam, K.S.G. Arul Kumaran, D. Jeslin, Ch. MadhusudhanaRao, M. Tejaswini, "Design and Evaluation of Binding Properties of Cassia roxburghii Seed Galacto mannan and Moringa oleifera Gum in the Formulation of Paracetamol Tablets," Research Journal of Pharmacy and Technology(RJPT). 3(1): Jan.-Mar. 2010; Page 254-256.
    • M.R. Shivalingam, K.S.G. Arul Kumaran, D. Jeslin, Y.V. Kishore Reddy, M. Tejaswini, Ch. MadhusudhanaRao, V. Tejopavan, "Cassia roxburghii Seed Galacto manna— a potential binding agent in the tablet formulation," Journal of Biomedical Science and Research(JBSR), Vol 2 (1), 2010, 18-22

    Professional Objective: To be a data scientist in the field of health care or bioinformatics where I can leverage my analytical skills and knowledge towards the advancement of the research field.


    Seema SangariSeema Sangari

    Bachelor’s Degree: Computer Science and Engineering, Himachal Pradesh University, India

    Master’s Degrees:

    • MSc Investment Management, Cass Business School, City University of London, London, U.K.
    • MSc Applied Statistics, Birkbeck College, University of London, London, U.K.
    • Graduate Certificate in Data Mining and Applications, Stanford University, US.

    Work History:

    • Certified Graduate Statistician by Royal Statistical Society, London, UK.
    • Senior Data Scientist, IBM Security for 3.5 years.
    • Have also worked as a Senior Financial Engineer for more than a decade with financial regulatory bodies in India and the UK and private sector in finance, insurance and reinsurance domain in India, the UK and Bermuda.

    Professional Objective: To apply data science skills to solve the real-world business problems


    Srivarna Settisara JanneySrivarna Settisara Janney

    Bachelor’s Degree: Mechanical Engineering, Visveswaraiah Technological University, India

    Master’s Degree: Computer Science, Kennesaw State University

    Work History:

    • Graduate Research Assistant, Kennesaw State University, 2016-2018
    • Senior Software Engineer, Torry Harris Business Solutions (THBS), United Kingdom, 2010-2012 and India, 2012-2014
    • Software Engineer, Torry Harris Business Solutions (THBS), India, 2007-2010

    Selected Publications/Presentations:

    • S.S. Janney, S. Chakravarty, “New Algorithms for CS – MRI: WTWTS, DWTS, WDWTS”, One-page research paper, 40th International Conference of IEEE Engineering in Medicine and Biology Society (IEEE EMBC), Jul 2018
    • Master thesis presented at Southeast Symposium on Contemporary Engineering Topics (SSCET), UAH Engineering Forum, Alabama, Aug 2018
    • Master thesis poster is accepted to be presented at Biomedical Engineering Society (BMES) 2018 Annual Meeting, Oct 2018
    • Submitted draft copy for book chapter contribution on “Bioelectronics and Medical Devices”, Elsevier Publisher, May 2018
    • Showcased 3MT, Georgia Council of Graduate Schools (GCGS), Apr 2018
    • Master thesis presented in workshop for “Medical Signal and Image Processing” at Department of Biotechnology & Medical Engineering, NIT Rourkella, Feb 2018
    • S.S. Janney, I. Karim, J. Yang, C.C Hung, Y. Wang, “Monitoring and Assessing Traffic Safety Using Live Video Images”, GDOT project showcase, 4th Annual Transportation Research Expo, Sept 2016

    Service and Awards:

    • 1st Place Winner, Graduate Research Project, C-day Poster Presentation, Kennesaw State University, Spring 2018
    • People's Choice Award, 3 Minute Thesis (3MT), Apr 2018
    • CCSE Dean’s 4.0 Club, Jan 2018
    • 3rd Place Winner, Hackathon 2017 - HPCC Systems Big Data
    • Foundation of Computer Science, Certified by Kennesaw State University, Jun 2016
    • Fundamental of RESTful API Design, Certified by APIGEE, Nov 2014
    • Member of HandsOnAtlanta, since 2014
    • SOA Associate, Certified by IBM, Jun 2008

    Professional Objective: I would like to be a researcher in Data Science and Analytics in medical imaging technologies contributing to advancements that would help medical and healthcare professionals provide value-based and personalized health care. I would like to look at career opportunities in industry and academia that fuel my interest in research.


  • Sanjoosh AkkineniSanjoosh 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


    • 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


    • 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.


    Andrew M. HenshawAndrew M. Henshaw

    Bachelor’s Degree: Electrical Engineering, Georgia Tech

    Master’s Degree: Electrical Engineering, Georgia Tech

    Master’s Degree: Business Administration, Georgia State University

    Work History:

    • Georgia Tech, School of Electrical Engineering, Research Engineer I, 1986-1990
    • Georgia Tech Research Institute, Research Engineer II, 1990-1999
    • APower Solutions, Vice President, 1999-2001
    • Georgia Tech Research Institute, Sr. Research Engineer, 2001-

    Courses taught: Software-Defined Radio Development with GNU Radio: Theory and Application, Georgia Tech Professional Education

    Selected Publications/Presentations: Python Cookbook, Vol 1, 2002, “Sorting Objects Using SQL’s ORDER BY Syntax”

    Service and Awards:

    • International Test and Evaluation Association (ITEA) Atlanta Chapter, President, 1995
    • Georgia State Soccer Association, Information Technology Committee Chair, 2009-2014
    • Georgia State Soccer Association, Recreational Committee, 2007-

    Professional Objectives: Enhance GTRI’s capabilities in data science and analytics


    Liyuan LiuLiyuan Liu

    Graduation Date: Summer 2021

    Dissertation: Incentive-based Data Sharing and Exchanging Mechanism Design

    Dissertation Advisor: Dr. Meng Han

    Current Position: Assistant Professor, St. Joseph's University - Erivan K. Haub School of Business

    Mohammad MasumMohammad Masum

    Graduation Date: Summer 2021

    Dissertation: Integrated Machine Learning Approaches to Improve Classification Performance and Feature Extraction Process for EEG Dataset

    Dissertation Advisor: Dr. Hossain Shahriar

    Current Position: Postdoctoral Fellow, Emory University School of Medicine

    Lauren StaplesLauren Staples

    Bachelor’s Degree: Biosystems Engineering, Clemson University

    Master’s Degree: Statistics, University of New Hampshire

    Work History: Children’s Oncology Group, Clinical Statistician, 2016-2017

    Courses taught: STAT 8940 Applied Analysis Project with Nuesoft. Co-taught with Dr. Ni

    Selected Publications/Presentations: An Optimized Route for Q100’s Bert and Kristin to Visit all Jersey Mike’s Subs in Atlanta for Charity

    Service and Awards: 3rd Place at 4/20/2018 KSU Analytics Day

    Professional Objective: Healthcare Analytics


  • Shashank HebbarShashank Hebbar

    Bachelor’s Degree: Mechanical Engineering, Anna University

    Master’s Degree: Industrial Engineering, North Carolina State University

    Work History:

    • Analytics Intern, Cox Enterprises, Atlanta, GA
    • Machine Learning Research Intern, SAS Institute, Cary, NC

    Selected Publications/Presentations:

    • SAS Global Forum 2017- “Regularization techniques”
    • Journal of Risk Management (Under Review)– “Borrower default trees in bipartite network” (co-author)

    Professional Objective: To make the best use of my data science and machine learning skills in a corporate environment and contribute to the field of applied research. 

    Jessica RuddJessica Rudd

    Graduation Date: Summer 2020

    Dissertation: Quantitatively Motivated Model Development Framework: Downstream Analysis Effects of Normalization Strategies

    Dissertation Advisor: Dr. Herman Ray

    Current Position: Data Scientist, A42 Labs

    Yan WangYan Wang

    Graduation Date: Spring 2020

    Dissertation: Data-Driven Investment Decisions in P2P Lending: Strategies of Integrating Credit Scoring and Profit Scoring

    Dissertation Chair: Dr. Sherry Ni

    Current Position: Statistician, Credigy

    Lili ZhangLili Zhang

    Graduation Date: Spring 2020

    Dissertation: A Novel Penalized Log-likelihood Function for Class Imbalance Problem

    Dissertation Advisor: Dr. Herman Ray

    Current Position: Data Scientist, Hewlet Packard Enterprise

    Yiyun ZhouYiyun Zhou

    Graduation Date: Spring 2020

    Dissertation: Attack and Defense in Security Analytics

    Dissertation Advisor: Jing (Selena) He

    Current Position: Data Analyst, U.S. Express Ventures

  • Edwin BaidooEdwin Baidoo

    Graduation Date: Spring 2020

    Dissertation: A Credit Analysis of the Unbanked and Underbanked: An Argument for Alternative Data

    Dissertation Advisor: Dr. Stefano Mazzotta

    Current Position: Assistant Professor of Business Analytics, Tennessee Technological University

    Sergiu BuciumasSergiu Buciumas

    Bachelor’s Degree: Economic Cybernetics and Informatics, Academy of Economic Studies of Moldova

    Master’s Degree: IT, Southern Polytechnic State University

    Work History:

    • Senior Systems Engineer Windows, RHEL/AIX, SunTrust Bank
    • Data Engineer Intern, Advanced Analytics, Coca-Cola European Partners
    • Integration Engineer (Co-op), Cox Communications, Systems Engineer, SunTrust Bank.

    Professional Objectives: Research position in a corporate environment or research faculty position at a university. Research – Interested in the algorithmic aspects of Artificial Intelligence, particularly focusing on Deep Learning, Natural Language Processing and Reinforcement Learning agents.


    Bogdan GadidovBogdan Gadidov

    Graduation Date: Summer 2019

    Dissertation: One and Two-Step Estimation of Time Variant Parameters and Nonparametric Quantiles

    Dissertation Advisor: Dr. Mohammed Chowdhury

    Current Position: Data Scientist, U.S. Xpress Ventures

    Jie HaoJie Hao

    Graduation Date: Summer 2019

    Dissertation: Biologically Interpretable, Integrative Deep Learning for Cancer Survival Analysis

    Dissertation Advisor: Dr. Mingon Kang

    Current Position: Postdoctoral Fellow, Perelman School of Medicine at the University of Pennsylvania

    Linh LeLinh Le

    Graduation Date: Spring 2019

    Dissertation: Deep Embedding Kernel

    Dissertation Advisor: Dr. Ying Xie

    Current Position: Assistant Professor of Information Technology, Kennesaw State University

    Bob VanderheydenBob Vanderheyden

    Graduation Date: Fall 2019

    Dissertation: Ordinal HyperPlane Loss

    Dissertation Advisor: Dr. Ying Xie

    Current Position: Principal Data Scientist, IBM

What did data science students graduate in

Business Administration
Business Analytics
Chemical Biology
Computer Science
Electrical Engineering
Information Studies
Investment Management
Mechanical Engineering

Where did data science students go to school

Ajou University, South Korea
Albert-Ludwigs University of Freiburg
Clemson University
Columbus State University
Dakota State University
East Tennessee State University
Florida State University

Georgia Southern University
Georgia State
Georgia Tech
Iran University of Science and Technology
Kennesaw State University
Marshall University
Michigan State University
Murray State University
Purdue University
South Dakota State University
Tehran University of Medical Sciences
Universitiy Malaysia Pahang
University of Detroit Mercy
University of Dhaka, Bangladesh
University of KwaZulu-Natal, South Africa
University of London
University of Michigan
University of New Hampshire
University of North Carolina
University of Toledo
University of Wisconsin
Western Kentucky University