NETWORK INSTITUTIONS

FACULTY
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FACULTY

Dr. Sudha S K
Emp Code- LCSF05, Assistant Professor
Department of Computer Science
Ph.D
Email: sudha.krishnaa@loyolacollegekerala.edu.in

Academic Qualifications

  • PhD. - Computer Science, University of Kerala
  • M.Phil. - Future Studies, University of Kerala
  • M.Tech. - Computer Science (Specialization in Digital Image Computing), University of Kerala
  • M.Sc. - Computer Science, University of Kerala

Domain Expertise

  • Image / Video Processing
  • Data Analytics
  • Remote Sensing Image Processing
  • Business Intelligence

Experience and Contact address

Email: sudha.krishnaa@loyolacollegekerala.edu.in

Selected Scholastic Contributions

BOOKS

  1. Sudha S K and Aji S, “Advanced Machine Learning Techniques for High-Performance Video Analytics.” PHI Learning, (Under Review).

Research Papers

  1. Arun, Sudha S K, and Aji S, “System and Method for Intelligent Dynamic Dropout in Artificial Neural Networks Using Fuzzy Logic,” filed under the Indian Patent Act, 1970, and the Patent Rules, 2003, with application number 202441102372, dated 24th December 2024.

Journal Articles

  1. Spiking Neural Networks for Video Analysis: An In-Depth Review of Models and Architectures,”, Neural Networks (Under Review).
  2. Arun, Sudha S K and Aji S, “ID3uF: An Intelligent Dynamic Dropout for Optimizing Neural Network,” Neurocomputing (Under Review).
  3. Sudha S K, and Aji S, “A Dual-Stream Parallel Architecture for Robust Visual Tracking using Scale-aware Region Proposals”, Future Generation Computer Systems, Volume 175, (2025), 108079, ISSN 0167-739X, doi.org/10.1016/j.future.2025.108079, SCIE.
  4. Sudha S K, and Aji S, “TA-EnVODT: A Cloud-Edge Integrated Temporal-Aware Ensemble for Real-Time Video Object Detection and Tracking using Knowledge Projection”, Knowledge-Based Systems, 326, (2025), doi: 1016/j.knosys.2025.114067, SCIE.
  5. Sudha S K, and Aji S, “An Intelligent Two-Stage Hybrid Hierarchical Classification using Optimized Label Propagation for Remote Sensing Image Retrieval”, Journal of the Indian Society of Remote Sensing, (2025), doi: 1007/s12524-025-02136-9, SCIE.
  6. Sudha Krishnamoorthy, and Aji Sivanandan, “Attention-based Localized Hash Retrieval for Large-scale Remote Sensing Images Using Deep Feature Splitting Strategy,” SPIE, Journal of Applied Remote Sensing, 17(3), 032404, (2023), doi: 10.1117/1.JRS.17.032404, SCIE.
  7. Sudha S K, and Aji S, “Delving into Geospatial Data Services: Monitoring Earth for Covid-19 Impact Measure and Decision Making,” International Journal of Progressive Sciences and Technologies, (2023), 37(2), 136-154, Scholar AI, Publons, doi: 52155/ijpsat.v37.2.5138.
  8. Sudha S K, and Aji S, “An Active Learning Method with Entropy Weighting Subspace Clustering for Remote Sensing Image Retrieval,” Applied Soft Computing, (2022), 125, 109107, Elsevier, SCIE, doi:10.1016/j.asoc.2022.109107.
  9. Sudha S K, and Aji S, “An Analysis on Deep Learning Approaches: Addressing the Challenges in Remote Sensing Image Retrieval,” Jr. of Rem. Sens., (2021), 42(24), 9397-9433, Taylor & Francis, SCIE,  doi:10.1080/01431161.2021.1996655.
  10. Sudha S K, Vidhya M, and Aji S, “A Fast Adaptive SVDIncExtreme Learning Machine Framework for Remote Sensing Image Classification,” Jr. of Rem. Sens., (2021), Special Issue – Learning from Data for Remote Sensing Image Analysis, TRES 1976875, Taylor & Francis, SCIE, doi:10.1080/01431161.2021.1976875.  
  11. Sudha S K, and Aji S, “A Review on Recent Advances in Remote Sensing Image Retrieval Techniques,” of the Indian Society of Rem. Sens., (2019), 47:2129-2139, Article No: 1049, Springer Nature, SCIE, doi: 10.1007/s12524-019-01049-8.
  12. Anoopa S and Sudha S K, “Detection and Control of Vampire Attacks in Ad-Hoc Wireless Networks,” Jr. of Engineering Research and Applications, (2014), ISSN:2248-9622, DOAJ, 4(4), 1-7.
  13. Seema Safar and Sudha S K, “Capacity Managed Adaptive Video Streaming Based on Peer Cache Adaptation Mechanism,” Jr. of Engineering Research and Applications, (2014), ISSN:2248-9622, DOAJ, 4(4), 8-14.
  14. Divya V V, Sudha S K, and Resmy V R, “Simple and Secure Image Encryption,” Jr. of Computer Science Issues, (2012), ISSN (Online): 1694-0814, CiteSeerX, 9(6), 3: 286.

Talks & lectures

  1. Sudha S K, and Aji S, “DySAMRefine: A Dynamic Scene Adaptive Mask Refinement for Object Segmentation and Tracking in Complex Videos”, 9th International Conference on Smart Trends in Computing and Communications, 2025 (Accepted).
  2. Raju, K. Arun, S. K. Sudha and S. Aji, “SMT-PREDICT: An Efficient Framework for Stock Market Trend Prediction using Historical and Sentimental Data,” 3rd International Conference for Advancement in Technology (ICONAT), GOA, India, 2024, pp. 1-5, doi: 10.1109/ICONAT61936.2024.10774856.
  3. Sudha S K, and Aji S, “Exploring the Advancements in High-Performance Computing Paradigm for Remote Sensing Big Data Analytics”, Cloud Computing and Data Science, In Proceedings of Next Generation Technologies in Computational Intelligence organized by CSI Region 7 Chapters, 2023, 5(1):50-61, doi:10.37256/ccds.5120243480.
  4. Sudha S K, and Aji S, “An Integrated Region and Patch Feature Descriptor Model for Efficient Retrieval of Remote Sensing Images,” Mathematical Statistician and Engineering Applications, In Proceedings of the AICTE Sponsored International Conference on Artificial Intelligence and Machine Learning (IAIM) – 2022, 71, 3s2, 111-123. Best Paper Award.
  5. Sudha S K, and Aji S, “A Hybrid Hierarchical Sparse Kernel Classification Model for Remote Sensing Image Retrieval,” Atlantis Highlights in Computer Sciences, In Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC), 2021, 4, 77-85, doi:10.2991/ahis.k.210913.011.
  6. Mahathi L and Sudha S K, “A Real-Time System for Detection and Recognition of Traffic Signs,” International Journal of Engineering Research & Technology (IJERT), NCETET – Conference Proceedings, 2016, ISSN: 2278-0181, 4(17).

Awards and Achievements

  • 1. Best paper award in the AICTE Sponsored International Conference on Artificial Intelligence and Machine Learning (IAIM) – 2022.
  • 2. Secured second place for paper presentation as part of 'School Level Academic Meet –AIAM 2K19' organized by the School of Technology, University of Kerala, on 28th March 2019.

Papers Taught

  • Principles of Programming Languages
  • Object Oriented Modeling and Design
  • Theoretical Foundations of Machine Learning
  • Computer Architecture and Organization
  • Advanced Learning Models
  • Computer Networks
  • Image and Data Compression
  • Database Management Systems
  • Software Architecture & Designs Patterns
  • Software Engineering
  • Research Methodology

Trainings attended

  1. Three-day online course on “Demystifying Generative AI,” conducted from Nov. 30th – Dec. 02nd, 2023, organized by Institute of Human Resources Development (IHRD).
  2. 3-Days online FDP ON Advances In “Deep Learning Models for Object Detection,” conducted from October 26th to 28th, 2023, under the aegis of the Division of Computer Science & Engineering, School of Engineering, Cochin University of Science & Technology.
  3. Two-day INDO-TAIWAN online Workshop on “Intelligent Internet of Things,”   jointly organized by the Indian Institute of Information Technology, Kottayam and IEEE Signal Processing Society, Kerala Chapter on October 27 & 28, 2022.
  4. Online Course on “Geospatial Inputs for Enabling Master Plan Formulation for AMRUT sub-scheme,” conducted from 11-10-2021 to 15-10-2021, by Indian Institute of Remote Sensing (IIRS), Dehradun.
  5. Online Course on “Machine learning to Deep Learning: A journey for remote sensing data classification,” from 05-07-2021 to 09-07-2021, by Indian Institute of Remote Sensing (IIRS), Dehradun.
  6. Participated in Pre-Academic Meet Workshop on “Algorithms and Applications,” from 18-21, March 2019.
  7. Attended the MathWorks “Matlab for Deep Learning Applications,” organized by Barton Hill Engineering College, Trivandrum, on 27th September 2018.
  8. Participated in the Five-day MHRD GIAN course on “Computational Geoscience: Data to Information to Decision,” organized by the Department of Geology, University of Kerala in July 2018.
  9. National Workshop on ‘Technologies and Tools for Scientific Research,” organized by Dept. of Computer Science, University of Kerala (September 25-27, 2017).
  10. One-day Workshop on ‘Introduction to Deep Learning and its Applications: Theory and Hands-on,” organized by Dept. of Avionics, IIST, Thiruvananthapuram (22-06-2017).
  11. One-day Seminar on “Making Kerala – Inclusive and Accessible for People with Disabilities,” held at the Kerala State Science and Technology Museum, Trivandrum, on 3rd December 2015.
  12. One-day Workshop on “PG Syllabus and Course Plan Preparation,” of Kerala Technological University – Trivandrum Cluster, organized by Govt. Engineering College, Barton Hill, Sponsored by TEQIP II (29-04-2015).
  13. Attended two-day Workshop on “Embedded Systems,” organized by Sarabhai Institute of Science and Technology, Vellanad, on 30th November and 2nd December 2010.
  14. Participated in the “Teacher’s Training Program,” organized by Sarabhai Institute of Science and Technology, Vellanad, from 25th to 29th May 2009.

CHANCELLOR’S CHAIR PRESENTATION

  1. Attended Chancellor’s Chair presentation by Dr. Gaurav Sharma, University of Rochester, on “Large Scale Visual Data Analytics for Geospatial Applications” on 22nd February 2019.