Assistant Professor

Dr N Satya Krishna

Department of Computer Science and Engineering

Interests

  1. Research in core & Inter disciplinary areas
  2. Teaching

Education

2004

VSCE, Kakatiya University
India
BTech

2008

Andhra University
India
MTech

2022

National Institute of Technology-Warangal,
India
PhD

Experience

  • August 2021-September 2022 - Assistant Professor - Department of Information Technology, V. R. Siddhartha Engineering College, Kanuru, Vijayawada, AP.
  • Jan 2018-Feb 2021 - Senior Research Fellow - Centre of Payment Systems LAB, Institute for Development and Research in Banking Technology (IDRBT)-Hyderabad- TS.
  • Jan 2016-Jan 2018 -Junior Research Fellow - Centre of Excellence in Analytics LAB, Institute for Development and Research in Banking Technology (IDRBT)- Hyderabad-TS.
  • July 2012-Jan 2016 - Assistant Professor - Department of Computer Science and Engineering, Koneru Lakshmaiah University, Vijayawada-AP.
  • Dec 2007-June 2012 - Assistant Professor - Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-AP.

Research Interest

  • Developing Machine learning & Deep learning models to solve various problems in the area of Natural Languaging Processing, Image Processing & Computer Vision.
  • Developing novel and innovative models in Machine learning and Deep learning.
  • Developing Machine learning & Deep learning models for “Anomaly detection in surveillance videos” & for “Face recognition in surveillance videos”.
  • Developing Machine learning & Deep learning models for “Learning low resource languages” & for “Social media text analysis”.

Awards & Fellowships

  • 2006 – PGECET–32nd Rank (State Rank)
  • 2010 - Ratified as an Assistant Professor–JNTU Kakinda
  • January 2016- January 2022- Ph.D. Fellowship - Institute for Development and Research in Banking Technology (IDRBT), Telangana, Hyderabad.

Publications

Journal Papers:

  • Nunna. Satya Krishna, Nagesh Bhattu S, D.V.L.N. Somayajulu, and N.V. Narendra Kumar. GssMILP for Anomaly Classification in Surveillance Videos. Expert Systems With Applications Journal (Elsevier) Volume 203 (1), p.117451, 6 May 2022 https://doi.org/10.1016/j.eswa.2022.117451(SCI Indexed, I.F: 8.665).
  • Nunna Satya Krishna, Nagesh Bhattu S, D. V. L. N. Somayajulu, and N. V. Narendra Kumar. Structure-Sensitive Graph-based Multiple-Instance Semi-Supervised Learning. SADHANA Journal (Springer), 46, 156 (2021). https://doi.org/10.1007/s12046-021-01659- 4 (SCI Indexed, I.F: 1.188).
  • Nagesh Bhattu S, Nunna Satya Krishna, D. V. L. N. Somayajulu, and B. Pradhan. Improving Code-mixed POS Tagging Using Code-mixed Embeddings. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 19(4), pp.1-31, (2020). https://doi.org/10.1145/3380967 (SCI Indexed, I.F: 1.820).
  • Vuppala Monica, Nunna Satya Krishna. Fake News Detection Using Machine Learning. NeuroQuantology- An Interdisciplinary Journal of Neuroscience and Quantum Physics. 20(8) (PubMed) (2022). https://doi.or /10.14704/nq. 2022.20.8.NQ44442 (Scopus Indexed)

Conference Papers

  • Nagesh Bhattu S, Nunna Satya Krishna, D. V. L. N. Somayajulu, and N.V. Narendra Kumar, 2019, December. Convex vs Convex-Concave Objective for Rare Label Classification. In Proceedings of 7th International Conference on Mining Intelligence and Knowledge Exploration (pp. 42-51). Springer. https://link.springer.com/chapter/10.1007/978-3-030-66187-8_5 (Scopus and Web-of- Science).
  • Nagesh Bhattu S, Nunna Satya Krishna, B. Siva Krishna, and Ravi V, 2017, December. Language identification in mixed script. In Proceedings of the 9th Annual Meeting of the Forum for Information Retrieval Evaluation (pp. 14-20). https://doi.org/10.1145/3158354.3158357. (Scopus and Web-of-Science).
  • N. Satya Krishna, Nagesh Bhattu S, D.V.L.N. Somayajulu, and N.V. Narendra Kumar, 2018. Named Entity Recognition and Relation Extraction from Indian Language Text. ACM-COMPUTE 2018 conference, (Poster) - Accepted and Presented
  • Nagesh Bhattu S, N. Satya Krishna, and D.V.L.N. Somayajulu, 2017. Event Extraction from Social Media text using Conditional Random Fields. In Proceedings of the 9th Annual Meeting of the Forum for Information Retrieval Evaluation (Working Notes) (pp. 140-143). http://ceur-ws.org/Vol-2036/T5-3.pdf. (Scopus).
  • Nagesh Bhattu S, N. Satya Krishna, and D.V.L.N. Somayajulu, 2018. Named Entity Recognition of Indian Languages using bi-LSTM. In 10th Proceedings of the Annual Meeting of the Forum for Information Retrieval Evaluation (Working Notes) http://ceur- ws.org/Vol-2266/T3-6.pdf. (pp. 158-165). (Scopus).
  • Nagesh Bhattu S, N. Satya Krishna, and D.V.L.N. Somayajulu, 2018. Relation Categorization for Social Media News Text. In 10th Proceedings of the Annual Meeting of the Forum for Information Retrieval Evaluation (Working Notes) (pp. 166-173). http://ceur- ws.org/Vol-2266/T3-7.pdf. (Scopus).
  • Sushma Sri Burramsetty, Nanditha Priya Gonugunta, Subhanjanaa Uppu, and Satya Krishna Nunna, 2022. Event Extraction from Telugu-English Code Mixed Social Media Text. Will published in the Proceedings of 7th International Conference on Communication and Electronics Systems (ICCES 2022) IEEE Xplore, (Scopus) pp. 946-951 doi:10.1109/ICCES54183.2022.9835861 https://ieeexplore.ieee.org/document/9835861.
  • P. Sesha Saini, Ch. Prathyusha, Ch. Mahitha, and Satya Krishna Nunna, 2022. Sentiment Analysis in Telugu-English CMSM Text. Will publish in the Proceedings of 7th International Conference on ICT for Sustainable Development (ICT4SD2022), (Scopus).

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