Dr. Jyothi S
Dr. Jyothi S
Associate Professor
Profile
Dr. Jyothi S is an accomplished academic professional with over 16 years of experience spanning both academia and industry. She currently serves as an Associate Professor in the Department of Computer Science and Engineering at Global Academy of Technology, Bengaluru. Her expertise includes Cloud Computing, Computer Networks, Web Technologies, Full Stack Computing, and Machine Learning. Dr. Jyothi is deeply committed to mentoring students, facilitating industry collaborations, organizing community outreach programs and driving research and development efforts in computing technologies. She also plays an active role as a member of the IPR Cell and serves as the SPOC/Coordinator for NTT Data’s Center of Excellence in Full Stack Computing. Beyond her academic pursuits, Dr. Jyothi is a passionate Carnatic classical vocalist and Bharatanatyam dancer.
Qualifications
  • Ph.D. in Cloud Computing, VTU, Belagavi
  • M.Tech in Computer Network Engineering, National Institute of Engineering, VTU Regional Center, Belagavi
  • B.E in Information Science and Engineering, VTU, Belagavi
Industry/Institute Collaborations
  • SPOC/Coordinator for NTT Data, Center of Excellence in Full Stack Computing
  • Organized Industry Visit to NxtGen Datacenter and Cloud Technologies and ISRO, Bangalore
Certifications
  • Train the Trainer programme (Digital CoE Full Stack Faculty Development program) from 24th June to 23rd August, 2024 (8-10 weeks) - NTT Data
  • Elite + Silver Certificate for 'Introduction to Internet of Things', IIT Kharagpur, Jan-Apr 2024
  • Elite Certificate for 'Python for Data Science', IIT Kharagpur, Jul-Aug 2023
Awards & Achievements
  • KSCST Project Fund-2025 Kruthak Samvahan: An Interactive AI Model for Responsive and Empathetic Communication, Awarded Rs. 4500.
  • Best Paper Award: 'Optimization of Cloud Resources for Delivering Media Streaming Applications in Large Cloud Computing System,' NCWCT-2015
  • Appreciation for Organizing Workshops on 'Web Application Security Testing' (2023)
  • Served as a reviewer for IEEE conferences
Publications
  • S., Sheela, S., Jyothi, S., Shalini & Anuj, Latha (2025) Federated learning and deep learning-driven adaptive cryptography for context-aware elliptic curve Diffie-Hellman optimization and anomaly-aware key management in next-generation wireless networks, Journal of Discrete Mathematical Sciences and Cryptography, 28:5-B, 2151–2161, DOI: 10.47974/JDMSC-2431
  • Sheela S, Harshith D, Gayathri Raikar, Jyothi S, Reshma D Souza, Ravindranath R C, 'Securing Pharmaceutical Supply Chains using AI-Integrated Blockchain Technology,' 2025 International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3), Bhubaneswar, India, 2025, pp. 1-6, doi: https://doi.org/10.1109/ISAC364032.2025.11156788
  • Bhagyashree Ambore, Priyanga P, Veena V Pattankar, Nivedita G Y, Sunitha K, Jyothi S, 'Hydroponics: Innovative Sustainable Technologies for Tomato Cultivation', Journal of Information Systems Engineering and Management2025,10(53s) e-ISSN:2468-4376 https://doi.org/10.52783/jisem.v10i53s.10972
  • S Sheela, S Jyothi, AP Latha, HJ Ganesh, M Komala, C Naveen Kumar, S Mallikarjunaswamy, N Sharmila, 'Automated Land Cover Classification in Urban Environments with Deep Learning-Based Semantic Segmentation,' 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET), B G Nagara,Mandya, India, 2024, pp. 1-7, doi: https://doi.org/10.1109/ICRASET63057.2024.10895689
  • S Sheela, AP Latha, S Jyothi, HJ Vidyarani, M Komala, N Sharmila, S Mallikarjunaswamy, GS Pavithra, 'Enhancing Stockpile Management Through Deep Learning with a Focus on Demand Forecasting and Inventory Optimization,' 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET), B G Nagara,Mandya, India, 2024, pp. 1-6, doi: https://doi.org/10.1109/ICRASET63057.2024.10895608
  • K Yashaswini, S Jyothi, G Prajwal Gowda, MS Nishanth, 'AI Powered Resource Management System,' 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Pune, India, 2024, pp. 1-6, doi: https://doi.org/10.1109/ICBDS61829.2024.10837375
  • T Kusuma, S Jyothi, G Shruthi, S Sheela, C Naveen Kumar, 'Optical Character Recognition using YOLO4, Tesseract and Paddleocr for Text Extraction,' 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India, 2025, pp. 1-6, doi: https://doi.org/10.1109/IITCEE64140.2025.10915347
  • Jyothi S and B S Shylaja. 'Multi-level Hierarchical Controller Assisted Task Scheduling and Resource Allocation in Large Cloud Infrastructures.' International Journal of Advanced Computer Science and Applications (IJACSA) 12.11 (2021). http://dx.doi.org/10.14569/IJACSA.2021.0121144
  • Jyothi S., Shylaja B. S., 'Efficient Approach for Resource Provisioning to Manage Workload in Cloud Environment,' IJERT, Vol. 9, Issue 06, June 2020, DOI: http://dx.doi.org/10.17577/IJERTV9IS060979
Patents
  • Person Re-Identification Using Machine Learning Approaches in Video Surveillance, Indian Patent No. 202141036938, 2021
  • Natural Language Processing Based Algorithms for Sentiment Analysis in Social Media, Indian Patent No. 202441007534, 2024
Professional Memberships
  • Indian Society for Technical Education (ISTE), LM 89838
Contact