Dr. R. Lakshmi Tulasi



Designation: Professor
Research Area: Information Retrieval, Semantic web
Qualifications: Ph.D (CSE) in 2017 from JNTUH, Hyderabad.
M.Tech(CSE) in 2005 from JNTUCEA, Anantapur.
B.Tech(CSE) in 2000 from Bapatla Engineering College .
Date of Birth: 26-05-1978.
Date of Joining: 05-07-2018.
(as on 23-11-2024)

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Patents Granted/Published
Sl. No. Patent Title Applicant's/
Inventor's Name		 Country Name Patent Application No. Date of Publication Status
1 A NOVEL APPROACH FOR COMPLAINT PRIORITIZATION USING DEEP LEARNING. Dr.R.Lakshmi Tulasi India 202041050684 04-12-2020 Published
2 ISAFE-DNN:INTELLIGENT SYSTEM FOR ASSISTING FIRE EGRESSION USING DEEP NEURAL NETWORKS. Dr.R.Lakshmi Tulasi India 202041047143 25-12-2020 Published

Administrative positions held:
  • Professor & Dean academics in Computer Science & Engineering, at QIS College of Engineering & Technology (Autonomous), Ongole.
  • Professor & HOD-CSE &IT in Computer Science & Engineering, at QIS College of Engineering & Technology (Affiliated to JNT University, Kakinada), Ongole.
  • Member in the Governing Council.
  • Worked as NBA coordinator.
  • Member Secretary for various committees like student Development committee, Staff Development Committee, Women Grievances Cell.
  • Member in college Disciplinary Committee, Anti ragging Committee etc.
Subjects handled:
    Computer Organization, Computer Networks, Operating Systems, Cloud Computing, Computer Graphics, C & data structures, OOPs through Java, OOAD through UML, E-Commerce, Design and Analysis of Algorithms, Compiler Design, Software Engineering, Database Management Systems, Neural Networks.
Guidance:
  • No. of M.Tech Projects Guided: More than 30
Member of Committees/Bodies:
  • Convener - IITB- Spoken Tutorial.
  • Member of Board of Studies, Department of CSE, RVR&JCCE
  • Convener - Tech club, Department of CSE, RVR&JCCE
STTPS/ Workshops/Exhibitions organized: 13.

Research Journals
  1. Tamilrasi Suresh, Tsehay Admassu Assagie, Sangeetha Ganesan, Ravulapalli Lakshmi Tulasi et.al. "Explainable extreme boosting model for breast cancer diagnosis", International Journal of Electrical and Computer Engineering (IJECE), Vol.13, No.5, October 2023, pp. 5764-5769. (Scopus)
  2. Lakshmi Tulasi Ravulapalli, Rama Krishna Paladugu, Venkata Krishna rao L, RadhaMotukuri, Naveen M, "Evaluation of Machine Learning Models for Predicting Heart Failure on Imbalanced Dataset", IIETA -Ingenierie des Systemes Information Vol.28, No.3, June 2023, pp. 717-724. (Scopus)
  3. Lakshmi TulasiRavulapalli, "A Novel Bi-LSTM Based Automatic Image Description Generation", Ingenierie des Systemes Information, Vol.28, No.2, April 2023, pp. 527-534. (Scopus).
  4. M.Sreelatha, Dr.R. Lakshmi Tulasi, Mr.K.Siva Kumar, "An Optimized Framework of Video Compression Using Deep Convolutional Neural Networks (DCNN)", IJCSNS International Journal of Computer Science and Network Security, VOL.22 No.5, May 2022, pp: 515-522. (Web of Science).
  5. TsehayAdmassu A, Thulasi K., RadhaMothukuri, Ravulapalli Lakshmi Tulasi, "Extraction of human understandable insight from machine learning model for diabetes prediction", Bulletin of Electrical Engineering and Informatics, Vol. 11, No. 2, April 2022, pp. 1126-1133, DOI: 10.11591/eei.v11i2.3391, 1126-1133. (Scopus Indexed).
  6. Komal Kumar.N, R. Lakshmi Tulasi. D. Vigneswari, "Performance Analysis of Classification Methods for Cardio Vascular Disease (CVD)", Advances in Communication and Computational Technology, Lecture Notes in Electrical Engineering, Vol.668, 1231-1238, Jan 2021.
  7. R. Lakshmi Tulasi. , "An Attention Based Automatic Image description", Advanced Informatics for Computing Research,Springer,Vol.1393,254-263,2021.
  8. Tsehay Admassu Assegie, R. Lakshmi Tulasi. , N. Komal Kumar, "Breast Cancer Prediction Model with Decision Tree and Adaptive Boosting", IAES International Journal of Artificial Intelligence , Vol. 10(1), 184-190, March 2021. (SCOPUS Indexed)
  9. Komal Kumar. N, R. Lakshmi Tulasi. "Investigating dengue outbreak in Tamil Nadu, India" Indonesian Journal of Electrical Engineering and Computer Science Vol. 18, No. 1, April 2020, pp. 502-507. (SCOPUS Indexed)
  10. Komal Kumar. N, R. Lakshmi Tulasi, Vigneswari. D. "An ensemble multi-model technique for predicting chronic kidney disease" International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 2, April 2019, pp. 1321~1326 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i2.pp.1321-1326.(SCOPUS Indexed)
  11. D. Vigneswari, Komal Kumar, R. Lakshmi Tulasi, "A Privacy preserving Technique for incremental data set on cloud by synthetic perturbation", International Journal of Engineering & Technology, 7(3.34) (2018) pp: 331-334.(SCOPUS Indexed)
  12. B. Sowmya, R. Lakshmi Tulasi, "The Accumulation of Profit to user and CSP using Double Quality guaranteed scheme in Cloud Computing", Vol. 19, Issue 2, Mar-April, 2017. ISSN: 2278-0661.
  13. G. Rajya Lakshmi, R. Lakshmi Tulasi, "Finding New trends in public Twitter streams using using link Anamoly Detection" IOSR Journal of Computer Engineering, Vol.18, Issue 4, Ver. VI, July-Aug 2016.
  14. P. Venkateswarlu, R. Lakshmi Tulasi, "Machine learning techniques for filtering of unwanted messages in online social networks" Vol.18, Issue 3, Version IV, May-June, 2016. ISSN: 2278-0661.
  15. R. Lakshmi Tulasi, M. Srinivasa Rao, K.Usha, "Ontology-Based Annotation for Semantic Multimedia retrieval", Procedia Computer Science (Elsevier), Volume 92: 148-154, 2016.
  16. R. Lakshmi Tulasi, M. Srinivasa Rao, K.Ankita, "Ontology Based Automatic Annotation: An approach for efficient retrieval of semantic results of web documents", Proceedings of First International conference on Computational Intelligence & Informatics (ICCII- 2016), JNTUH, May 2016 (published in Springer, AISC Series). DOI: 10.1007/978-981-10-2471-9_32 . pg:331-339.
  17. M.Hari Krishna, R.Lakshmi Tulasi, "Mitigating Routing Attacks in Mobile Adhoc Networks", International Journal of Advanced Technology and Innovative Research, Vol.07, Issue.03, 322-325, March-2015.
  18. Surekha. S , R. Lakshmi Tulasi, "A key management scheme for Wireless Sensor Networks Basd on Unital Design Theory", International Journal of Scientific Engineering and Technology Research, Vol.04, Issue.15, June-2015, pg:2815-2819, ISSN: 2319-8885.
  19. M.Raghupati, R.Lakshmi Tulasi, "Hierarchical Filter based document Clustering Algorithm", International Journal of Computer Trends and Technology, Vol.21, No.1-Mar 2015, ISSN: 2231-2803.
  20. R. Lakshmi Tulasi and M. Srinivasa Rao, "Tools and Techniques for Ontology Interoperability: A Survey", Asian Journal of Information Technology, 13: 612-617, 2014.(SCOPUS Indexed)
  21. M. Nagarjuna Reddy, R.Lakshmi Tulasi, "Similarity-Based Item Clustering for Efficient Classification of Information space", International Journal of Computer Engineering and Technology, Volume 4, Issue 6, November - December (2013), pp. 192 - 203, ISSN 0976 - 6367(Print), ISSN 0976 - 6375(Online) (Calculated by GISI.
  22. P. Sowmya, R. Lakshmi Tulasi, "Privacy preserving Data Publishing using Slicing", IJRCSE Vol.3, Issue 1, Pg: 521-529, October-November 2013, ISSN: 2321-5585 (Online), ISSN: 2321-0338(Print).
  23. R. Lakshmi Tulasi. , K.Anusha, "Continuously distributed path estimation by Using DIV", International Journal of Computer Sciences And Information Technology, ISSN: 0975-9646 , Vol.4(2), 2013, pg:273- 277.
  24. R.Lakshmi Tulasi, Dr M.Srinivasa Rao., et al.(2013) "Study of E-learning Information Retrieval model based on Ontology", International Journal of Computer Applications, ISSN: 0975-8887,Vol 61-No 17, Pg: 9-12, January 2013.
  25. B. Srinija, R. Lakshmi Tulasi, J. Ramesh., "Email archiving with effective usage of storage space", International Journal of Emerging Technology and Advanced Engineering", ISSN: 2250-2459, Vol 2, Issue 10, pg: 101- 104, October 2012.
  26. R. Lakshmi Tulasi. , Syed Azahad, "Anomaly Detection using Spatio-Temporal Measures", CiiT International Journal of Networking and Communication Engineering, ISSN: 0974-9713, Vol 4, No 11, pg 667-672, August, 2012.
  27. SK.Mahaboob basha, R.Lakshmi Tulasi, "MobiQual: QoS-awarw Query and Update Load Shedding in Mobile CQ Systems" International Journal of Computer Sciences and information Technology And Security ISSN:224929555 , Vol.2 ,No.4, Pg: 753-757, Aug 2012.
  28. R. Lakshmi Tulasi. , Dr M. Srinivasa Rao et al., G.Rayana Gouda,"Ontology Based information retrieval: a case Study for Sports and eminent personalities Domain", International journal of Computer applications", ISSN: 0975-8887, Vol 39, no .11, Feb 2012.
  29. R. Lakshmi Tulasi. , Dr. R.H Goudar et.al, "Domain Ontology Based Knowledge representation for efficient Information Retrieval", Journal Of Information Systems and Communications, E-ISSN : 0976-8750 Vol 3, Issue 1, pg: 138-142, March 2012.
  30. R. Lakshmi Tulasi. , Mr M.Ravi Kanth, "Intrusion detection system based on 802.11 specific Attacks", International Journal of Computer Science & Communication Networks, ISSN: 2249-5789 (online), Pg: 165-170, August 2011.
  31. R.Lakshmi Tulasi, International Journal of Computer Trends and Technology, "Impact of Feature Reduction on the Efficiency of Wireless Intrusion Detection Systems", E-ISSN: 2231-2803,July-AUG, Issue 2011.
  32. J.Ramesh, N.Swathi, R.Lakshmi Tulasi, "GLIP: A Concurrency control protocol for clipping Indexing", International Journal of Computer Trends and Technology, July-Aug Issue2011, ISSN: 2231-2803, Pg: 235-239.19.
  33. Himabindu. A, Mrs R.Lakshmi Tulasi, "Supporting Resourceful and Scalable Multicasting on Cellular Adhoc Networks", International Research Journal of Computer Science Engineering and Applications, Vol. 2, Issue 3, 323-, March 2011.
  34. R.Lakshmi Tulasi, B.Prasanth, International Journal of Computer Technology & Applications, Dynamic routing with security considerations" Volume 2, Issue 5, Sep-Oct, 2011.
International Conference Papers:
  1. "An attention based automatic image description generation", Fourth International Conference on Advance Informatics for Computing Research(ICAICR).
  2. "Perspectives in Water Quality Assessment: A Review" , International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES-2019) at SRM Institute of Science and Technology Kattankulathur during April 11-13th,2019.
  3. "Performance analysis of different machine learning algorithms for detection of sleepy spindles from EEG signals", International Conference on Advancing Knowledge from Multidisciplinary Perspectives in Engineering & Technology at Visakhapatnam during 05 - 06 thApril, 2019
  4. "Performance Evaluation of Jaya optimization technique for the production planning in a dairy industry" , Advanced Engineering Optimization Through Intelligent Techniques(AEOTIT) organized by SVNIT, Surat during 3 - 5 August, 2018.
  5. "SEER - An Intelligent Double Tier Fuzzy Framework for the Selection of Cluster Heads Based on Spiritual Energies of Sensor Nodes", 2018 Springer International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT - 2018) organized by RVS Technical Campus, Coimbatore during 26-27th April 2018.
  6. "Dynamic Energy Efficient Distance Aware Protocol for the Cluster Head Selection in the Wireless Sensor Networks", 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT-2017) organized by Sri Venkateshwara College of Engineering, Bengaluru during 19-20th May, 2017 in association with IEEE Computer Society Bangalore Chapter.
  7. VMSSS: A proposed Model for Cloud Forensic in Cloud computing using VM Snap Shot Server, 7th International Conference. Soft Computing for Problem Solving - SocProS 2017 organized by Indian Institute of Technology Bhubaneswar during December 23-24th, 2017.
National Conference Papers:
  1. R.LakshmiTulasi, J. Ramesh, National Conference on "Network Technologies P.T: Hybrid Scheduling of Dynamic Task Graphs for embedded Multiprocessor Systems" on 29th Dec, 2009, Sri Venkateswara CET, Chittor.
  2. R.LakshmiTulasi, S.Srilakshmi, National Conference on "Network Technologies P.T: Discovering and Explaining Abnormal nodes in Semantic graphs" on SVCET, Page (40-45),29th Dec, 09.
  3. R.LakshmiTulasi, K.Naga Nirmala, National Conference on "Network Technologies P.T: Analysis of Computer Instructions using sequences of Function calls" SVCET, Page (107-113),29th Dec,09.
  4. R.LakshmiTulasi, P.Subramanyam., National Conference on "Information Communication Networking NCICN-2010. P.T: provable protection against web application vulnerabilities related to session data dependencies" on EASWARI Engineering College, Chennai, 23rd April, 2010.
  5. R.LakshmiTulasi, N.Srinu. National Conference on "Information Communication Networking NCICN P.T: A Precise Termination Condition of the Probabilistic Packet Marking Algorithm", on EASWARI Engineering College, Chennai, 23rd April, 2010.
  6. R.LakshmiTulasi, J. Ramesh, "The Styx Architecture for Distributed Systems", Proceedings of National Conference on Recent Trends in Advanced Computing", Bharat University, Pg: 29, 2009.
STTPs/FDPs Attended.

Certification Courses Done:
  • Completed 12 week course on Computer Networks and Internet Protocol organized by NPTEL - Swayam in Oct, 2018.
  • Completed 12 week course on Computer Organization & Architecture organized by NPTEL - Swayam in October, 2017.
  • Completed 8 week course on Object Oriented Analysis & Design organized by NPTEL - Swayam in September, 2017.
  • Attended 6 week online course on " Knowledge Engineering with Semantic Web Technologies" from HPI University during May - July, 2014.
  • Attended 6 week online course on Semantic Web Technologies from open HPI, University of Potsdam during Feb - April, 2013.
Membership of Professional bodies:
  • Professional Member, ACM India
  • Life Member, Indian Society for Technical Education
  • Life member - Internal Association of Computer Science and Information Technology
Details of Funded Projects
  • Received a funding of Rs.50,000 from RVRJCCE for the research project titled "An Automatic Image Description Generation System: A Deep learning Approach" for academic Year 2019-20.
  • Fund sanctioned by Stafz IT Services Pvt.Ltd., Bangalore on "An efficient video compression framework using Deep Learning Techniques".

Contact Details:
EMail: rltulasi@rvrjc.ac.in
Phones:+91 8632288254 Ext: 302.