Prof.(Dr.) Pushpalatha K P

Professor MCA (Madurai Kamaraj University) Ph.D. (Mahatma Gandhi University) Contact Email: pushpalathakp@mgu.ac.in

Ongoing Research Areas

• Data Mining, Text Data Mining, Natural Language Processing, Digital Image Processing

(Google Scholar : Citations: 75, h-index 4, i10 index 2)

Research Publications(Selected)

Peer Reviewed Journals

• Jose, B., K. P., P. Classification of handwritten Malayalam characters using a HOG-DCNN model with multiview augmentation and inference fusion. Multimedia Tools and Applications (2023). SCIE, Scopus. IF (2023) -3.6. DOI: https://doi.org/10.1007/s11042-023-16154-7 July 2023.

• Vineetha Vijayan, K P Pushpalatha, Fused Architecture with Enhanced Bag of Visual Words for Efficient Drowsiness Detection, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2023, 27 / 2 p. 182-189. IF:2023: 0.205, ESCI, Scopus. DOI https://doi.org/10.20965/jaciii.2023.p0182.

• VineethaVijayan, Pushpalatha K P, “A Comparative Analysis of RootSIFT and SIFT Methods for Drowsy Features Extraction”, Procedia Computer Science, pages 436-445 December 2019, ELSEVIER, (ISSN: 1877-0509), IF 1.26, Scopus Indexed, 2019.
• Pushpalatha.K.P, Raju,G Text Document Retrieval through Clustering using Meaningful Frequent Ordered Word Patterns, International Journal of Applied Engineering Research (IJAER) ISSN 0973-4562 Volume 13, Number 7 pp. 4822-833 April, 2018. UGC Approved, Scopus Indexed upto 2018.
• Anns Sebastian, Pushpalatha K.P, KEYWORD EXTRACTION USING CENTROID GRAPH AND WITH A STUDY OF TEXTRANK AND HITS ALGORITHM, Journal of Emerging Technologies and Innovative Research, 2018 JETIR, Volume 5, Issue 7.(5.87 IF) July 2018. UGC Approved.

• Thomas, K.T., Pushpalatha, K.P. (July 2022). Deep Learning-based Gender Recognition Using Fusion of Texture Features from Gait Silhouettes, Data Science and Security. Lecture Notes in Networks and Systems, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-19-2211-4_13. ISBN: 978-981-19-2210-7.

• Thomas K.T., Pushpalatha K.P. (2021) A Comparative Study of the Performance of Gait Recognition Using Gait Energy Image and Shannon’s Entropy Image with CNN, Data Science and Security. Lecture Notes in Networks and Systems, vol 290. Pp 191-202, Springer, Singapore. https://doi.org/10.1007/978-981-16-4486-3_21 August 2021.

• MehanasShahul, Pushpalatha K P, Machine Learning Based Analysis of Sepsis :Review, Proceedings of ic-ETITE’20. Proc. of International Conference on Emerging Trends in Information Technology and Engineering IEEE,February 2020, Chennai. ISBN:978-1-7281-4142-8, pp. 1-4, https://doi.org/10.1016/j.procs.2020.04.046.

• Pushpalatha K P, “Concept Hierarchy Generation in Data Mining”, Short Learning Objects for E-learning and MOOCs, BOOK, Department of Printing and Publishing, Mahatma Gandhi University, ISBN:978-93-80419-42-8, Pages: May 2019.

• S. S. and K. P. Pushpalatha, “Machine Learning Based Classification and Grading of Breast Cancer: Review,” 2023 International Conference on Innovations in Engineering and Technology (ICIET), Muvattupuzha, India, Aug 2023, pp. 1-5, DOI: 10.1109/ICIET57285.2023.10220793.

• E. V. Veena and K. P. Pushpalatha, “Improved Methods of Imputation for Clustering,” 2023 9th International Conference on Smart Computing and Communications (ICSCC), Kochi, Kerala, India, Dec 2023, IEEE Xplore, pp. 374-378, DOI: 10.1109/ICSCC59169.2023.10335062.

• B. Jose and K. P. Pushpalatha, “Malayalam Handwritten Character Recognition Using Transfer Learning,” 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), Kochi, India, 2023, pp. 1-5, DOI: 10.1109/AICAPS57044.2023.10074586.

• M. Shahul and P. K. P, “Machine Learning Based Patient Classification In Emergency Department,” 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), Kochi, India, 2023, IEEE Xplore, pp. 1-5, DOI: 10.1109/AICAPS57044.2023.10074003.

• V. Vijayan and P. K. P, “Analysis of Various Clustering Algorithms to Enhance Bag-of-Visual-Words for Drowsiness Prediction,” 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), 2021, pp. 1-6, DOI: 10.1109/AIMV53313.2021.9670943, IEEE explore Jan 2022. ISBN:978-1-6654-4211-4.

• Jose, Bineesh, and K. P. Pushpalatha. “Intelligent Handwritten Character Recognition For Malayalam Scripts Using Deep Learning Approach.” IOP Conference Series: Materials Science and Engineering. Vol. 1085. No. 1. IOP Publishing, March 2021. Annual International Conference on Emerging Research Areas on “COMPUTING & COMMUNICATION SYSTEMS FOR A FOURTH INDUSTRIAL REVOLUTION” (AICERA 2020) Dec 2020, DOI:10.1088/1757-899X/1085/1/012022.

• MehanasShahul, Pushpalatha K P, Machine Learning Based Analysis of Sepsis :Review, Proceedings of ic-ETITE’20. International Conference on Emerging Trends in Information Technology and Engineering IEEE, February 2020, Chennai. DOI:https://doi.org/10.1016/j.procs.2020.04.046

• Vijayan and P. Kp, “FLANN Based Matching with SIFT Descriptors for Drowsy Features Extraction”,2019 Fifth International Conference on Image Information Processing (ICIIP), Shimla, India, 2019, pp. 600-605, IEEE Explore, Scopus Indexed, November 2019. DOI: 10.1109/ICIIP47207.2019.8985924.

Book Chapters:

1. MehanasShahul, Pushpalatha K P, Machine Learning Based Analysis of Sepsis :Review, Proceedings of ic-ETITE’20. Proc. of International Conference on Emerging Trends in Information Technology and Engineering IEEE,February 2020, Chennai. ISBN:978-1-7281-4142-8, pp. 1-4, https://doi.org/10.1016/j.procs.2020.04.046.
2. Pushpalatha K P, “Concept Hierarchy Generation in Data Mining”, Short Learning Objects for E-learning and MOOCs, BOOK, Department of Printing and Publishing, Mahatma Gandhi University, ISBN:978-93-80419-42-8, Pages: May 2019.

Programme/Courses offered

1. Offered and completed a 6 months certification programme “Certificate in Internet Programming and Web Technologies (CIPWT)” under DASP of MG University in September 2019.

E-Content:

1. Contributed a module  on “Various Approaches and Contents of e-learning”  to the MOOC Course “Instructional Design” under the SWAYAM Platform by Dr. Sajna Jaleel.
2. Developed a Video Tutorial on the topic MOODLE- “Course Administration Part 1 and Part2” for the one week online Faculty Training Programme  conducted for all teachers of schools/centres. 
3. Developed a Short Learning Object on the topic “Concept Hierarchy Generation in Data Mining”, Online: https://www.youtube.com/watch?v=OMdsNVkG17k

Project Sanctioned (Going on)

• Co-Principal Investigator: Project proposal submitted under RUSA 2.0 – Research, Innovation and Quality  Improvement (106.4 Lakhs) sanctioned in June 2023. Title:“Study and Analysis of Automated Examination Systems in Indian Higher Educational Institutions and Design and Development of a Unique Model for Mahatma Gandhi University”.

Academic Positions and Extension Activities

• Head of the School Of Computer Sciences 2005-2007 and from 2020-2023 by the University.

• Served as Programme Committee Member, 2019 International Conference on Data Science and Computational Security (IDSCS-2020) by Springer and Computer Society of India, organized by CHRIST (Deemed To be University), Pune Lavase Campus.

• Served as External Expert, PhD Viva-Voce (Defence) and as Reviewer of PhD Thesis, Dept. of Information Science and Engineering, Visvesvaraya Technological University, Karnataka.

• Served as Reviewer, International Conferences supported by IEEE and Springer organised by CHTIST, Bangalore and Pune.

Membership in Research Organisations

• Professional Member of ACM (Association of Computing Machines) since 2017.