1.   Courses Taught

        a.   PG

               i.   Deep Learning for Natural Language Processing

               ii.  Big Data Analytics

               iii.  Data Science and Analytics

               iv.  Data Warehousing and Data Mining

               v.  Advanced Data Structures and Algorithms

               vi. Machine Learning

         b.  UG

                i.   Artificial Intelligence

                ii.  Big Data Analytics

                iii. Machine Learning and Soft Computing

                iv. Data Structures

                v. Discrete Mathematics

                vi. Data Warehousing and Data Mining

                vii. Secure Software Engineering                 

                viii.  Design and Analysis of Algorithms

                ix.  Machine Learning & Soft Computing

                x. Advanced Data Structures 

                xi. OOP through Java

                xii. Operating Systems          

               xiii.  C Programming and Numerical Methods

                xiv.  Data Base Management Systems

                xv. Computer Architecture

                xvi. File Structures

               xvii. Neural Networks

               xviii. Compiler Design

   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. Kiran Babu Nelaturi, K. Hima Bindu, "Toxic Comment Classification and Rationale Extraction in Code-Mixed Text Leveraging Co-Attentive Multi-task Learning",  Language Resources and Evaluation,  Springer [In Press]
   
2. KiranBabu Nelatoori, Hima Bindu Kommanti, "Multi-task learning for toxic comment classification and rationale extraction", Journal of Intelligent Information Systems, Springer, Vol.60, pp. 495–519, 2023, https://doi.org/10.1007/s10844-022-00726-4
3. KiranBabu Nelatoori, Hima Bindu Kommanti, "Attention-based Bi-LSTM Network for Abusive Language Detection", IETE Journal of Research, Vol.68, pp.1-9, 2022, DOI:10.1080/03772063.2022.2034534
4. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, and Hima Bindu Kommanti, “Abusive Language Detection using Customized BERT”, Int. J. of Swarm Intelligence, Special Issue on: Building Intelligent Applications Using Machine Learning, Vol.7,No.1, pp.25-38, 2022, DOI: DOI: 10.1504/IJSI.2022.121094
5. Bonthu, S., Hima Bindu, K, “Review of leading data analytics tools”, International Journal of Engineering and Technology, Volume 7, Issue 3, 2018, pp. 10-15, ISSN: 2227524X, DOI: 10.14419/ijet.v7i3.31.18190
6. 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
7. 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
8. 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.

          c.  Conferences            

1.  Shravani Panakanti Ravali Madas, Madala Monika and K. Hima Bindu “Unsupervised Synthetic Code-Mixed Data Generation”, ADCIS 2023 [Procceings in Press]
2. K K Singh and K. Hima Bindu, “Few-Shot Learning with Feature Pairing and Mean Discrepancy”, International Conference on Sustainable Computing and Smart Systems (ICSCSS 2023), IEEE ISBN: 979-8-3503-3360-2, DOI: 10.1109/ICSCSS57650.2023.10169437
3. Battula, V., Hima Bindu, K. (2023). Domain Adaptation of Pretrained Models for Telugu Wh-Questions. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2746-3_26
4. V. Nadapana and H. B. Kommanti, "Investigating the role of Named Entity Recognition in Question Answering Models," 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2022, pp. 1-7, doi: 10.1109/GCAT55367.2022.9972157
   
5. Kiran Babu, N., Hima Bindu, K. Evaluation of Word Embeddings for Toxic Span Prediction. In: Kumar, A., Ghinea, G., Merugu, S., Hashimoto, T. (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. pp. 177–190, 2022, https://doi.org/10.1007/978-981-19-2350-0_17
   
6. Vissamsetti, S.H., Pravallika, K.S.S., Jadhav, S.C., Kommanti, H. (2022). Offensiveness Detection in Hinglish Code-Switched Language. In: Raman, I., Ganesan, P., Sureshkumar, V., Ranganathan, L. (eds) Computational Intelligence, Cyber Security and Computational Models. Recent Trends in Computational Models, Intelligent and Secure Systems. ICC3 2021. Communications in Computer and Information Science, vol. 1631, pp.124-135, 2022, Springer, https://doi.org/10.1007/978-3-031-15556-7_9
   
7. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, and K.Hima Bindu, “Abusive or offensive Language Detection using fine-tuned BERT and XLNet”, pages 12, PCCDS 2020 paper id 132, NIT Kurukshetra, 01-03 May 2020
8. Bhanu Jyothi, K., Hima Bindu, K. (2018). A Case Study in R to Recognize Human Activity Using Smartphones. In: Chaki, N., Cortesi, A., Devarakonda, N. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-6319-0_17
   
9. Hima Bindu, K., Raghavendra Rao, C. (2015). Coefficient of Variation Based Decision Tree for Fuzzy Classification. In: Ravi, V., Panigrahi, B., Das, S., Suganthan, P. (eds) Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015). Advances in Intelligent Systems and Computing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-319-27212-2_11
   
10. Hima Bindu, K., Raghavendra Rao, C. (2012). Search Result Clustering Through Expectation Maximization Based Pruning of Terms. In: , et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_134
    
11. Kommanti, H.B., Raghavendra Rao, C. (2011). Association Rule Centric Clustering of Web Search Results. In: Sombattheera, C., Agarwal, A., Udgata, S.K., Lavangnananda, K. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2011. Lecture Notes in Computer Science(), vol 7080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25725-4_14
    
12. K.Hima Bindu, and C.Raghavendra Rao, “Salient Features of Coefficient of Variation Based Decision Tree”, In Proceedings of NCETCS14, pp 205-210
13. 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.
14. Prasad, P.S.V.S.S., Bindu, K.H., Rao, C.R. (2011). Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_27
    
15. K.Hima Bindu, P.S.V.S.Sai Prasad, and C.Raghavendra Rao. “Hybrid Decision Tree based on Inferred Attribute". At First Amrita ACM-W Celebration on Women in Computing in India, Coimbatore, India, September, 2010, https://dl.acm.org/doi/10.1145/1858378.1858379
    

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)

1. Nelaturi Kiran Babu
2. Krishna Kumar Singh
3. Srichandana Abbineni
   
4. Dinesh Didla

7.     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
• 179^th Rank in EAMCET-94
• 4^th  Rank in CEEP-92 exam by Govt. of Andhra Pradesh

8.      Memberships

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

9.    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