Dr. Pushpalatha K

Areas of Interest

• Machine Learning,
• Natural Language Processing
• Congntitve Computing
• Data Science and Analytics
• Quantum Computing
• Database

Ph.D. SUPERVISION

Awards / Grants

• “Creating the facility for advancing research in area of computer vision and allied areas – (Multi stage detection system for violent activities in crowds through visual gesture and cognitive modeling)”, Vision Group on Science and Technology Project, 20 lakhs, (Completed).
• “Creating an Artificial Intelligence Center of Excellence for fostering groundbreaking research to develop the solutions that addresses societal problems”. Vision Group on Science and Technology Project, 30 lakhs, (Completed).

Journal

• Pushpalatha, K., and V. S. Ananthanarayana. "Feature pattern based representation of multimedia documents for efficient knowledge discovery." Multimedia Tools and Applications 75.15 (2016): 9461-9487., doi: 10.1007/s11042-016-3434-y.
• Pushpalatha, K., and V. S. Ananthanarayana. "A tree based representation for effective pattern discovery from multimedia documents." Pattern Recognition Letters (2017):143-153, https://doi.org/10.1016/j.patrec.2016.10.005
• Vijay, C. P., and K. Pushpalatha. "Revolutionizing mango leaf disease detection: Leveraging segmentation and hybrid deep learning for enhanced accuracy and sustainability." International Journal of Intelligent Systems and Applications in Engineering 11.4 (2023): 121-131.
• Vijay, C., & Pushpalatha, K. (2024). DV-PSO-Net: A novel deep mutual learning model with Heuristic search using Particle Swarm optimization for Mango leaf disease detection. Journal of Integrated Science and Technology, 12(5), 804. https://doi.org/10.62110/sciencein.jist.2024.v12.804
• CH, Shwetha, and Pushpalatha K. "Creation and Annotation of a Code-mixed Kannada English Dataset with accurate labels for Detecting Depression and Major Depressive Disorder Categories." Engineering Research Express (2024).
• Vijay, C.P., Pushpalatha, K., Janardhana, D.R. et al. DeepLeafNet: A Novel Deep Learning Approach for Mango Leaf Disease Segmentation and Classification with Optimization Algorithms. SN COMPUT. SCI. 6, 951 (2025). https://doi.org/10.1007/s42979-025-04504-1
• Suchetha, G., and K. Pushpalatha. "A GRU-based approach for botnet detection using deep learning technique." Indonesian Journal of Electrical Engineering and Computer Science 38.2 (2025): 1098-1105.
• Suchetha, G., Pushpalatha, K. GRUFNet: a hybrid neural model for botnet detection using the SDNIoT dataset. Int. j. inf. tecnol. (2025). https://doi.org/10.1007/s41870-025-02776-7
• Shwetha, C.H., Pushpalatha, K. A hybrid deep learning framework for multilingual depression detection and symptom classification from social media text. Int. j. inf. tecnol. (2026). https://doi.org/10.1007/s41870-025-03055-1
• Shetty, Shailesh S., and K. Pushpalatha. "Securing Clinical Trial Data Using Private Blockchain Technology." Engineering, Technology & Applied Science Research 16.2 (2026): 34623-34629.
• Shailesh Shetty S, Pushpalatha K, Lokesh K. S, Machine learning-integrated private blockchain framework for bias detection in clinical trials data, Array,Volume 31,2026, 101002,ISSN 2590-0056, https://doi.org/10.1016/j.array.2026.101002.

Conference

• Pushpalatha K. and V. S. Ananthanarayana, "An Information Theoretic Similarity Measure for Unified Multimedia Document Retrieval," 7th IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2014), Sri Lanka.
• Pushpalatha K. and V. S. Ananthanarayana, "An Unified Approach for Multimedia Document Representation and Document Similarity," IEEE 17th International Conference on Computational Science and Engineering (CSE 2014), China.
• Pushpalatha K. and V. S. Ananthanarayana, "An Approach for Multimedia Information Retrieval Based on Harmonized Representation of Multimedia," 8th International Conference on Image and Signal Processing (ICISP 2014), Bangalore, India.
• Pushpalatha K. and V. S. Ananthanarayana, "A New Glowworm Swarm Optimization Based Clustering Algorithm for Multimedia Documents," IEEE International Symposium on Multimedia (ISM 2015), Miami, USA.
• Pushpalatha K. and V. S. Ananthanarayana, "A New Multimedia Documents Clustering Approach Based on Feature Patterns Similarity," 19th IEEE International Symposium on Multimedia (ISM 2017), Taichung, Taiwan.
• Lakshmi N., Adhaduk R., Nithyananda N., Rashwin Nonda S., and Pushpalatha K., "Exploring the Performance of EEG Signal Classifiers for Alcoholism," In: Advances in Artificial Intelligence and Data Engineering (AIDE 2019), Advances in Intelligent Systems and Computing, Vol. 1133, Springer, Singapore.
• Rao S. S., Pushpalatha K., Sapna R., and Monika Rani H. G., "An Analysis of the Psychological Implications of COVID-19 Pandemic on Undergraduate Students and Efforts on Mitigation," In: Advanced Computing (IACC 2021), Communications in Computer and Information Science (CCIS), Vol. 1528, Springer, Cham.
• Pushpalatha K., N. V., P. P., M. Ashraf, and C. H. Chiplunkar, "ResNet-Based Gait Recognition: Leveraging Deep Learning for Accurate Biometric Identification," IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER 2023), Mangalore, India, pp. 49–54.
• Shwetha C. H. and Pushpalatha K., "Corpus Creation and Annotating Multilingual Code-Mixed Kannada English Data with Precise Labels for Depression Detection," 15th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2024), IIT Mandi.
• Shwetha C. H. and Pushpalatha K., "Depression Detection from a Social Media Dataset using Deep Learning and NLP Techniques: A Review," 8th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2024), Ahmedabad, Springer Lecture Notes in Networks and Systems (LNNS).
• Vijay C. P. and Pushpalatha K., "Mango Leaf Disease Detection Research Trends: A Systematic Review," IEEE 4th Mysore Sub Section International Conference (MysuruCon 2024), Mysuru.
• S. Shetty S. and Pushpalatha K., "A Survey on Clinical Trials Using Blockchain Technology," International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC 2024), Mangalore, India, pp. 200–205.
• S. G. and Pushpalatha K., "Optimizing Botnet Detection in IoT Networks: Feature Selection Analysis on the UNSW-NB15 Dataset," IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER 2024), Mangalore, India, pp. 120–125.
• Pushpalatha, K. and Sunil Kumar B L “A Character Recognition System For Kannada Script”, NMAMIT PGFEST-10 event, 2010
• Pushpalatha, K. and Tejaswini Meghana, “A Survey on Kannada Handwritten Character Recognition System”, IEEE-DSCE Branch Annual Event XPLORE-09, 2009.

Book / Book Chapter

No book details available.

Indian

• BLOCK-CHAIN BASED SECURE CLINICAL TRIAL MANAGEMENT SYSTEM WITH SMART CONTRACTS, Published on 15/12/2023, Publication No 50/2023.

International

No international patent details available.