{"id":97,"date":"2018-06-13T19:49:58","date_gmt":"2018-06-13T19:49:58","guid":{"rendered":"http:\/\/sites.tntech.edu\/weberle\/?page_id=97"},"modified":"2023-09-12T21:32:53","modified_gmt":"2023-09-12T21:32:53","slug":"students","status":"publish","type":"page","link":"https:\/\/sites.tntech.edu\/weberle\/students\/","title":{"rendered":"Students"},"content":{"rendered":"

PhD<\/em><\/p>\n

    \n
  1. Ocheme \u201cAnthony\u201d Ekle (expected Fall 2025<\/em>)<\/li>\n
  2. George Stone (expected Spring 2024<\/em>)<\/li>\n
  3. Jeffrey Graves, \u201cNOVEL ENCODINGS FOR USE WITH THE MINIMUM DESCRIPTION LENGTH PRINCIPLE FOR SUBGRAPH MINING\u201d, Fall 2022.<\/li>\n
  4. Prabin Lamichhane, \u201cANOMALY DETECTION, CLUSTERING, AND VISUALIZATION ON DYNAMIC GRAPHS\u201d, Fall 2022. Currently a Senior Data Scientist at Mastercard (Missouri)<\/li>\n
  5. Sheikh Rabiul Islam<\/a>, \u201cDOMAIN KNOWLEDGE AIDED EXPLAINABLE ARTIFICIAL INTELLIGENCE\u201d, Spring 2020. Currently an Assistant Professor position at Rutgers University at Camden, New Jersey.<\/li>\n
  6. Ramesh Paudel<\/a>, “EFFICIENT GRAPH KNOWLEDGE DISCOVERY ON GRAPH STREAMS WITH CONCEPT DRIFT\u201d, Spring 2020. Currently a Post-Doc at George Washington University, Washington, D.C.<\/li>\n
  7. Sirisha Velampalli<\/a> (Jawaharlal Nehru Technological University), \u201cNovel Graph Based Approaches for Finding Interesting Substructures in Heterogeneous Networks\u201d. Spring 2018. Currently a Currently a Machine Learning Research Engineer at DataOrb AI.<\/li>\n
  8. Lenin Mookiah, \u201cPersonalized Context Mining of News Streams Using Graph-Based Approaches\u201d, Summer 2017. Currently a Machine Learning and Software Engineer for eBay (California).<\/li>\n<\/ol>\n

    \u00a0<\/em>Masters<\/em><\/p>\n

      \n
    1. Amr Elshazly (expected Fall 2024<\/em>)<\/li>\n
    2. Matthew Brotherton (expected Fall 2023<\/em>).<\/li>\n
    3. Anjana Ashokkumar, \u201cNetwork Attack Detector\u201d, Spring 2023.<\/li>\n
    4. Allison (Baylee) Jones, Spring 2022.<\/li>\n
    5. Prajjwal Kandal, \u201cNODE SIMILARITY FOR ANOMALY DETECTION IN ATTRIBUTED GRAPHS\u201d, Spring 2019.<\/li>\n
    6. Niraj Rajbhandari, \u201cGRAPH SAMPLING TO DETECT ANOMALIES IN LARGE GRAPHS AND DYNAMIC GRAPH STREAMS\u201d, Spring 2018.<\/li>\n
    7. Sheikh Rabiul Islam, \u201cAN EFFICIENT TECHNIQUE FOR MINING BAD CREDIT ACCOUNTS FROM BOTH OLAP AND OLTP\u201d, Spring 2018.<\/li>\n
    8. Raduanul Islam, \u201cCanonical labelling to Improve Compression Approach to Graph Matching\u201d, Spring 2017.<\/li>\n
    9. Rupak Dhunaga, \u201cReal-Time Visualization of Graph Streams\u201d, Spring 2016.<\/li>\n
    10. Jamie Terral, \u201cExploring Regular Expression-Based Variable-Width Intelligent Part Number Component Translation for Purposes of Engineering Design Knowledge Transfer and Manufacturing Execution Automation\u201d, Spring 2016.<\/li>\n
    11. Alan McCormick, \u201cDetecting Fraud in Online Classified Ads\u201d, May 2014.<\/li>\n
    12. Ramesh Paudel, \u201cLinkcube: A Tool for Anomaly Detection in Social Networks Using GBAD\u201d, May 2014.<\/li>\n
    13. Jeffrey Graves, \u201cSource Code Plagiarism Detection Using a Graph Based Approach\u201d, July 2011.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      PhD Ocheme \u201cAnthony\u201d Ekle (expected Fall 2025) George Stone (expected Spring 2024) Jeffrey Graves, \u201cNOVEL ENCODINGS FOR USE WITH THE MINIMUM DESCRIPTION LENGTH PRINCIPLE FOR SUBGRAPH MINING\u201d, Fall 2022. Prabin Lamichhane, \u201cANOMALY DETECTION, CLUSTERING, AND VISUALIZATION ON DYNAMIC GRAPHS\u201d, Fall … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":95,"featured_media":0,"parent":0,"menu_order":8,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-97","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/pages\/97","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/users\/95"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/comments?post=97"}],"version-history":[{"count":12,"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/pages\/97\/revisions"}],"predecessor-version":[{"id":244,"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/pages\/97\/revisions\/244"}],"wp:attachment":[{"href":"https:\/\/sites.tntech.edu\/weberle\/wp-json\/wp\/v2\/media?parent=97"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}