Ph.D. in Analytics and Data Science Cohorts

Students presenting their research at a pedagogical event.

  • Trent Geisler headshot. Trent 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.


    Kory Illenye headshot. Kory Illenye

    Bachelor’s Degree: Mathematics, Appalachian State University

    Master’s Degree: Mathematics, Appalachian State University

    Work History:

    • Adjunct Instructor of Mathematics and Statistics
    • Appalachian State University, 2017 – 2019
    • McDowell Technical Community College, 2017 – 2019
    • Catawba Valley Community College, 2018 – 2019
    • Asheville-Buncombe Technical Community College, 2018 – 2019

    Courses Taught: College Algebra, Trigonometry, Statistics, and Precalculus

    Publications: Co-Editor, Statistical Exploration of Climate Data

    Professional Objectives: As a former instructor, I realize there is a gap when dealing with academia and industry. I intend on finding a career in industry which will allow me to assist educational institutions to close that gap while solving real world problems.


    Srivatsa Mallapragada headshot.Srivatsa 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, https://doi.org/10.4271/06-12-03-0015.
    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.

    LinkedIn


    Sudhashree Sayenju headshot.Sudhashree 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 Stradwick headshot.Christina 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.

    LinkedIn

  • Md Shafiul Alam headshot. Md 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.

    LinkedIn


    Jonathan Boardman headshot. Jonathan 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.

    Awards:

    • 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.

    LinkedIn


    Tejaswini Mallavarapu headshot. Tejaswini 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.

    LinkedIn


    Seema Sangari headshot. Seema 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

    LinkedIn


    Srivarna Settisara Janney headshot. Srivarna 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.

    LinkedIn

  • Sanjoosh Akkineni headshot. 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.

    LinkedIn


    Andrew Henshaw headshot. Andrew 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

    LinkedIn


    Liyuan Liu headshot. Liyuan Liu

    Bachelor’s Degree: Human Resource Management, Nanjing University of Information Science & Technology

    Master’s Degree: Financial Economics, University of Detroit Mercy

    Master’s Degree: Analytics, J. Mack Robinson College of Business, Georgia State University

    Work History:

    • Intern, Equifax, 01/2018-present
    • Graduate Research Assistant, Georgia State University Institute for Insight, 09/2015-09/2016

    Selected Publications/Presentations:

    • Liyuan Liu, Meng Han, Yiyun Zhou, and Yan Wang; LSTM Recurrent Neural Networks for Influenza Trends Prediction; Proceedings in 14th International Symposium on Bioinformatics Research and Applications (ISBRA), 2018, Springer.
    • Liyuan Liu, Meng Han, Yan Wang and Yiyun Zhou; Understanding Data Breach: A Visualization Aspect; Proceedings in 13th International Conference on Wireless Algorithms, Systems and Applications, 2018, Springer.
    • Yiyun Zhou, Meng Han, Liyuan Liu, Jing (Selena) He, Yan Wang; Deep Learning Approach for Cyber-attack Detection; Proceedings in MiseNet of IEEE International Conference on Computer Communications, 2018. 
    • Bingchen Yu, Meng Han, Liyuan Liu, Yan Huang, Yi Liang, Liquan Bai; Data-driven Approach for Understanding the Mild Cognitive Impairment; Proceedings in 14th International Symposium on Bioinformatics Research and Applications (ISBRA), 2018, Springer.

    Professional Objective: To work in data science in a corporate environment

    LinkedIn


    Mohammad Masum headshot. Mohammad Masum

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

    Master’s Degree: Mathematical Sciences, East Tennessee State University

    Work History: Instructor at East Tennessee State University

    Courses taught: Probability and Statistics (non-calculus) at East Tennessee State University

    MS Thesis: Vertex Weighted Spectral Clustering

    Professional Objective: to work in data science in the Health sector, and to hold a faculty position at a university

    LinkedIn


    Lauren Staples headshot. Lauren 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

    LinkedIn

  • Shashank Hebbar headshot.Shashank 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 Rudd headshot. Jessica Rudd

    Graduation Date: Summer 2020

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

    Dissertation Advisor: Dr. Herman Ray

     


    Yan Wang headshot. Yan 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 Zhang headshot. Lili 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 Zhou headshot. Yiyun 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 Baidoo headshot.

    Edwin 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 Buciumas headshot. Sergiu 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.

    LinkedIn


    Bogdan Gadidov headshot. Bogdan 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 Hao headshot. Jie 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 Le headshot. Linh 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 Vanderhayden headshot. Bob Vanderheyden

    Graduation Date: Fall 2019

    Dissertation: Ordinal HyperPlane Loss

    Dissertation Advisor: Dr. Ying Xie

    Current Position: Principal Data Scientist, IBM

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