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M.TECH: JNTUH COE, B.Tech from NIT Warangal


POSITION: Assistant Professor & HOD

PHD: University of Hyderabad

PHONE: +91 0000000000

AREAS OF INTEREST: Natural Language Processing, Web Mining, Machine Learning, Big data Analytics, Educational Data Mining, Text Mining, Deep Learning


1.   Courses Taught

        a.   PG

               i.   Big Data Analytics

               ii. Data Science and Analytics

               iii. Data Warehousing and Data Mining

               iv.   Advanced Data Structures and Algorithms

               v.  Machine Learning

               vi. Deep Learning for Natural Language Processing

         b.  UG

                i.   Artificial Intelligence

                ii.  Big Data Analytics

                iii. Machine Learning and Soft Computing

                iv. Data Structures

                v. Discrete Mathematics

                vi.  Advanced Data Structures

                vii. Design and Analysis of Algorithms

                viii.  OOP through Java

                ix.  Operating Systems

                x. Compiler Design

                xi. Neural Networks

                xii. Data Warehousing and Data Mining               

               xiii.  C Programming and Numerical Methods

                xiv.  Data Base Management Systems

                xv. Computer Architecture

                xvi. File Structures


   2.   Professional (Work) Experience

           a.  Worked as Professor in Vishnu Institute of Technology, Bhimavaram

           b. Worked as Professor, Associate Professor in Ramachandra College of Engineering, Eluru

           c.  Worked as Associate Professor in Sri Vasavi Engineering College and Sasi Institute of Technology, Tadepalligudem

           d. Worked as Assistant Professor in Sir C.R.Reddy college of Engineering, Eluru

           e. Worked as Member Technical at ADP Wilco International Systems, Somajiguda, Hyderabad

  3.   Select Publications

            a.   Books

               i.  Coefficient of Variation and Machine Learning Applications, CRC Press, ISBN-10: 0367273284, ISBN-13: 978-0367273286

            b.  Journals

  1. KiranBabu Nelatoori, K. Hima Bindu, "Multi-task learning for toxic comment classification and rationale extraction", Journal of Intelligent Information Systems, Springer, 2022,
  2. KiranBabu Nelatoori, K. Hima Bindu, "Attention-based Bi-LSTM Network for Abusive Language Detection", IETE Journal of Research, 2022, DOI:10.1080/03772063.2022.2034534
  3. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, and K.Hima Bindu, “Abusive Language Detection using Customized BERT”, Int. J. of Swarm Intelligence, Special Issue on: PCCDS 2020 Building Intelligent Applications Using Machine Learning (In Press, DOI: 10.1504/IJSI.2021.10041159)
  4. Bonthu, S., Prasanthi, B.,  Himabindu, K. (2017). Automation of pre-processing of students' data. Indian Journal of Computer Science And Engineering (IJCSE), Vol. 8 No. 3 Jun-Jul 2017 8(3), pp 241-245, ISSN: 0976-5166
  5.  K.Hima Bindu, K. Swarupa Rani, and C.Raghavendra Rao. “Coefficient of Variation based Decision Tree (CvDT)". International Journal of Innovative Technology and Creative Engineering, ISSN:2045-8711, June 2011, Issue Vol.1 No.6
  6. Sri Shilpa Padmanabhuni, Hima Bindu, “Search Results Clustering: Comparison of Lingo and K-Means”, International Journal of Advanced Research in Computer Science and Management Studies, October 2013 Volume 1 Issue 5, pp 70-83, ISSN: 2321-7782.
  7. Kali Pradeep, I., Jaya Bhaskar, D., & Hima Bindu K. (2016). A Genetic Approach for Enhancing Recommender System’s Stability. IRA-International Journal of Technology & Engineering (ISSN 2455-4480), 3(3).doi:, pp 148-153

          c.  Conferences

  1. Nadapana Vasuki, K. Hima Bindu, "Investigating the role of Named Entity Recognition in Question Answering Models", IEEE 3rd GCAT 2022, ISBN: 978-1-6654-6855-8.
  2. KiranBabu Nelatoori, K. Hima Bindu, “Evaluation of Word Embeddings for Toxic Span Prediction”, Proceedings of the International Conference on Cognitive and Intelligent Computing ICCIC 2021, Springer,
  3. Sri Harshini Vissamsetti, Sai Santhoshi Pravallika Kalyanapu, Shiva Charan Naik Jadhav and Himabindu K, “Offensiveness Detection in Hinglish Code-Switched Language”, ICC3 2021 (5th International Conference on Computational  Intelligence, Cyber security, Computational models)
  4. Bhanujyothi Kella, K Hima Bindu, “A Case Study in R to Recognize Human Activity using Smart Phones”, Proceedings of the ICCIDE 2017, Volume8,  Lecture Notes on Data Engineering and Communications Technologies, Springer, ISBN 978-981-10-6319-0, pp 191-200.
  5. K. Hima Bindu, C. Raghavendra Rao., "Coefficient of Variation Based Decision Tree for Fuzzy Classification", Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015), Volume 415 of the series Advances in Intelligent Systems and Computing, Springer, DOI 10.1007/978-3-319-27212-2_11, pp 139-149.
  6. K.Hima Bindu, and C.Raghavendra Rao, “Salient Features of Coefficient of Variation Based Decision Tree”, In Proceedings of NCETCS14, pp 205-210
  7. K. Hima Bindu, R. Srinivasa Raju, D. Suryanarayana, “Search Results Clustering Validation Techniques”, In Proceedings of NCATCCSA 2014, International Journal of Advanced Research in Computer Science, Volume 5, No. 2, March 2014, pp 114-121, ISSN No. 0976-569.
  8. K.Hima Bindu, and C.Raghavendra Rao. “Search Result Clustering through Expectation Maximization based Pruning of Terms". In Proceedings of SOCPROS 2012, December 28-30, Advances in Intelligent Systems and Computing, Volume 236, Springer India, pp 1285-1292, ISBN 978-81-322-1601-8. [Indexed by DBLP]
  9. G. Mery Rani, K. Hima Bindu, “Search Result Clustering with ODP based Bayesian Classifier”. In Proceedings of  ICNEAC-2011, Narsapur,July 8-10, 2011,pp 522-525, ISBN : 978-81-8465-683-1.
  10. K.Hima Bindu, and C.Raghavendra Rao. “Association Rule Centric Clustering of Web Search Results". In Proceedings of Multi-disciplinary Trends in Articial Intelligence, MIWAI'11, Lecture Notes in Computer Science, 2011, Volume 7080/2011, pp 159-168. [Indexed by DBLP]
  11. K.Hima Bindu, P.S.V.S Sai Prasad, and C.Raghavendra Rao. “Consistency Analysis of Query Reformation". In Proceedings of Emerging Trends in Soft Computing, NCETSC'11, Pune, India. Article 4, Excel India Publishers, 2.
  12. P.S.V.S.Sai Prasad, K.Hima Bindu, and C.Raghavendra Rao. “Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct". In Proceedings of the 6th international conference on Rough sets and knowledge technology, RSKT'11, Springer-Verlag Berlin, Heidelberg 2011, pp 195-200. [Indexed by DBLP]
  13. K.Hima Bindu, P.S.V.S.Sai Prasad, and C.Raghavendra Rao. “Hybrid Decision Tree based on Inferred Attribute". In Proceedings of the First Amrita ACM-W Celebration on Women in Computing in India, A2CWiC'10, ACM, New York, NY, USA, pp 61-67. [Indexed by DBLP]

4.     Research Project

  • PI for the project entitled Study, Analysis and Implementation of Machine Learning Algorithms on Hadoop to solve Big Data problems under Young Scientist scheme from SERB under Big data Initiative

5.     Patents

6.      Ph.D Guidance – (Name of the Scholar, Topic, Date of Joining)

  1. Nelaturi Kiran Babu
  2. Venkata Ramana Battula
  3. Krishna Kumar Singh
  4. Srichandana Abbineni
  5. Rajesh Arepalli

7.     Consultancy

8.     Achievements

  • Neural Networks and Deep Learning course from Coursera, 2020
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization course from Coursera, 2020
  • R Programming  course from Coursera, Data Science Specialization, 2016
  • Ratification from JNTU, Kakinada as Associate Professor, 2014
  • Sun Certified Java Programmer (SCJP) from Sun Microsystems (now Oracle), 2000
  • Selected for Scientist B position at DRDO, 1999
  • Selected for Lecturer position at AP Polytechnic, 2000
  • 179th Rank in EAMCET-94
  • 4th  Rank in CEEP-92 exam by Govt. of Andhra Pradesh

9.      Memberships

  • Member in ACM
  • Member in IEEE
  • Life member in Indian Society for Rough sets
  • Life member in Society for Development of Statistics

10.    Misc

  a.   Seminars, Workshops, Courses and FDPs organized

          i. Five Days Online Faculty Development Programme on “Deep Learning for NLP” was organized during 21st – 25th March 2022. (self-finance mode).

         ii.   Faculty Development Programme (FDP) on “Big Data Computing” was organized during 29thApril - 4th May 2019, in association with E & ICT Academy, National Institute of Technology Warangal, (Sponsored by Ministry of Electronics and Information Technology (MeitY), GOI).

         iii. Course on “Data Analytics through R” from 12-12-2016 to 31-12-2016 at Vishnu Institute of Technology, Bhimavaram

        iv.  FDP on “Data Science with R” from 11-04-2016 to 16-04-2016 at Vishnu Institute of Technology, Bhimavaram

        v.   Seminar on “Big Data” on 05-03-2016 at Vishnu Institute of Technology, Bhimavaram

       vi.  Seminar on “Mining High Speed Data Streams” on 08-07-2015 at Vishnu Institute of Technology, Bhimavaram

       vii. FDP on “Trends in Soft Computing and its Tools” from 15-02-2014 to 19-02-2014 at Vishnu Institute of Technology, Bhimavaram

     b.    Administrative Experience

             i.   Head, CSED

             ii. Associate Dean Faculty Welfare

             iii. NBA, NAAC coordinator

             iv.  Coordinator for Women’s Grievance cell 

             v.  Dean R&D at Vishnu Institute of Technology