Assistant Professor

Dr T Jaya Lakshmi 

Department of Computer Science and Engineering

Interests

  1. Social Network Analysis and Mining
  2. Machine Learning
  3. Recommender Systems

Faculty Details

Education

1999

Andhra University
India
Bachelors

2009

Uttar Pradesh Technical University
India
Masters

2019

University of Hyderabad (Central University)
India
Ph.D.

Experience

  • 2000 - 2003, Lecturer | RVR &JC College of Engineering, Guntur, Andhra Pradesh
  • 2004 - 2006, Lecturer | Anand Engineering College, Agra, Uttar Pradesh
  • 2006 - 2009, Assistant Professor | Raj Kumar Goel Institute of Technology, Ghaziabad, Uttar Pradesh
  • 2009 - 2019, Associate Professor | Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh

Research Interest

  • Link prediction in Heterogeneous Social Networks.
  • Temporal Measures for link prediction in complex networks
  • Link prediction approach for Recommender Systems

Awards & Fellowships

  • 1996 - University Rank in Bachelors- Acharya Nagarjuna University
  • 2017 - Travel Grant to present a paper at PAKDD 2017 at South Korea - UGC (F. No.6-210/2017(TG))

Memberships

  • ACM - annual
  • CSI - Life

Publications

Journals

  • "T Jaya Lakshmi and S. Durga Bhavani, "Temporal probabilistic measure for link prediction in collaborative networks", Applied Intelligence, 47(1), pp.83-95, 2017. DOI : 10.1007/s10489-016-0883-y"
  • "Rohit Chivukula, Mohan Vamsi Sajja, T Jaya Lakshmi and Muddana Harini, "Empirical Study on Microsoft Malware Classification" International Journal of Advanced Computer Science and Applications, 12(3), 2021. DOI:10.14569/IJACSA.2021.0120361"
  • "Rohit Chivukula, T Jaya Lakshmi, Sanku Satya Uday, Satti Thanuja Pavani, ""Classifying clinically actionable genetic mutations using KNN and SVM"", Indonesian Journal of Electrical Engineering and Computer Science, Vol. 24, No. 3, December 2021, pp. 1672~1679. DOI: 10.11591/ijeecs.v24.i3.pp1672-1679"
  • T Jaya Lakshmi , Naga Mohan Reddy Karri , N.B. Kanyaka Yesasvi Teluguntla , Jayanth Vallabhaneni , Geeta Kiranmai Nanduri, "Facemask Detection Using Machine Learning Techniques: A Review", Webology, Volume 19, Number 1, Pages: 6935-6942, 2022.
  • Kandula, L.R.R., T Jaya Lakshmi, Alla, K., Chivukula, R. (2022). An intelligent prediction of phishing URLs using ML algorithms. International Journal of Safety and Security Engineering, Vol. 12, No. 3, pp. 381-386. https://doi.org/10.18280/ijsse.120312
  • S. Saleti, T Jaya Lakshmi and M. W. Ahmad, "Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework," in IEEE Access, vol. 10, pp. 123301-123315, 2022, doi: 10.1109/ACCESS.2022.3224217.

Conference Papers

  • "T Jaya Lakshmi and S. Durga Bhavani. ""Heterogeneous link prediction based on multi relational community information."", Sixth International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2014. DOI: 10.1109/COMSNETS.2014.6734932."
  • "T Jaya Lakshmi and S. Durga Bhavani. 2015. ""Enhancement to community-based multi-relational link prediction using co-occurrence probability feature"", In Proceedings of the Second ACM IKDD Conference on Data Science, 2015. ACM, pp:86-91. DOI=10.1145/2732587.2732599."
  • "T Jaya Lakshmi and Ch. Siva Rama Prasad, "A study on classifying imbalanced datasets", In Proceedings of the First International Conference on Networks & Soft Computing , 2014, pp: 141 - 145, IEEE. DOI: 10.1109/CNSC.2014.6906652."
  • T Jaya Lakshmi and S. Durga Bhavani, "Link prediction in Temporal Heterogeneous networks", in 12th Pacific Asia Workshop on Intelligence and Security Informatics. (PAKDD workshop), held at Jeju, South Korea in May 2017, Springer, Cham. DOI : 10.1007/978-3-319-57463-9_6.
  • "T Jaya Lakshmi and S.Durga Bhavani, ""Link Prediction Measures in Various Types of Information Networks: A Review"" In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 1160-1167, held at Barcelona. SPAIN. DOI : 10.1109/ASONAM.2018.8508295"
  • "Saleti Sumalatha, T Jaya Lakshmi, & Thirumalaisamy, Ragunathan. (2021, July). Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 86-97). Springer, Cham. DOI: 10.1007/978-3-030-79457-6_8"
  • "Rohit Chivukula, T Jaya Lakshmi, Sumalatha, S., & Reddy, K. L. R. (2021). Ontology Based Food Recommendation. 5th International Conference on Information and Communication Technology for Intelligent Systems - 2021, publication in IOT with Smart Systems (pp. 751-759). Springer, Singapore. DOI: 10.1007/978-981-16-3945-6_74"
  • Rohit Chivukula and T Jaya Lakshmi, "Mining Heterogeneous Information Networks: A Review," 2021 IEEE Pune Section International Conference (PuneCon), 2021, pp. 1-4, doi: 10.1109/PuneCon52575.2021.9686506.
  • Rohit Chivukula, T Jaya Lakshmi, Lohith Ranganadha Reddy Kandula and Kalavathi Alla, "A Study of Cyber Security Issues and Challenges," 2021 IEEE Bombay Section Signature Conference (IBSSC), 2021, pp. 1-5, doi: 10.1109/IBSSC53889.2021.9673270.
  • D. K. Tejaswi, H. Chauhan, T Jaya Lakshmi, R. Swetha and N. N. Sri, "Investigation of Ethereum Price Trends using Machine learning and Deep Learning Algorithms," 2022 2nd International Conference on Intelligent Technologies (CONIT), 2022, pp. 1-5, doi: 10.1109/CONIT55038.2022.9848000.

Contact Details

  • E-mail id: jayalakshmi.t@srmap.edu.in
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