Faculty At Computer Science and Engineering Department



Anil Kumar Dudyala
Anil Kumar Dudyala
Assistant Professor
Basic Information Research Interest:-Bio-NLP, Datamining, Machine learning
Email :- ak@nitp.ac.in
Phone :-

Subjects Teaching in Department
  1. Information Retrieval Systems
  2. E-commerce
Educational Qualification
  1. Ph.D (Pursuing) - IIT Patna
  2. M.Tech(IT) - University of Hyderabad
  3. B.Tech (CSE) - JNTU Hyderabad
    Memberships & Society
    1. ACM Member
    2. ISTE Life Member
    3. IEEE Member
      Current Administrative Responsibility
      1. NPS Co-ordinator, NIT Patna
      2. Departmental Co-ordinator of Spoken-Tutorial Project, IIT Bombay
        Past Administrative Responsibility
        1. Departmental Co-ordinator for NBA
        2. Member Secretary, ACoFAR
        3. Program Officer, NSS NIT Patna Wing
        4. Member, Library Committee
        5. Member Secretary, Scrutinizing Committee for Officer Cadre Posts
        6. Head of the Department of IT, Netaji Institute of Engineering & Technology, June 2010 - December 2010
          Work Experiences
          1. Assistant Professor, Department of CSE, National Institute of Technology Patna since June 2011
          2. Research Scholar, IDRBT Hyderabad, August 2010 - June 2011
          3. Assistant Professor, Department of CSE & IT, Netaji Instiutute of Engineering & Technology, Toopranpet, Nalgonda, August 2008 - August 2010
          4. Lecturer, Nalanda College of Pharmacy, Nalgonda.
            Journals
            1. Anil Kumar Dudyala, Vadlamani Ravi and N. Naveen, Application of fuzzyARTMAP for churn prediction in bank credit cards. International Journal of Information and Decision Sciences. 1(4) - 2009,428-444, .
            2. Anil Kumar Dudyala, V. Ravi, Predicting credit card customer churn in banks using data mining. International Journal of data analysis Techniques and Strategies. 01(01) - 2008,4-28, .
              International Conferences
              1. Anil Kumar Dudyala, Chottu Kumar, Bank Note Authentication Using Decision Tree rules and Machine Learning Techniques, International Conference on Advances in Computer Engineering and Applications (ICACEA).  Ghaziabad - 2015, .
              2. Anil Kumar Dudyala, Chottu Kumar, Reduced Rule For Banknote Genuinity, International Conference on Recent Advances in Mathematics, Statistics and Computer Science .  Patna,May - 2015, .
              3. Anil Kumar Dudyala, Software Defect Prediction using balancing and intelligent Techniques, Emerging Research in Computing, Information, Communication and Applications.  Bangalore,August - 2014, .