Dr. Jyotsna Chandrasekharan

Journals

• Jyotsna C., Amudha J, Amritanshu Ram, Giandomenico Nollo, “ETMT: A Tool for Eye Tracking based Trail Making Test to Detect Cognitive Impairment”, Sensors, 2023, Impact factor:3.9, Q1 Journal
• Jyotsna C., Amudha J, Amritanshu Ram, Damiano Fruet, Giandomenico Nollo, “PredictEYE: Personalised Mental State Prediction from Eye Tracking Data”, IEEE Access Journal. Impact factor:3.9, Q1 Journal
• Kandala, Mahita, M. Kaushik, Vaishakh Nambiar, G. S. Vignesh, Jyotsna, Tripty Singh, and Prakash Duraisamy. "Designing of VehiNet Using Convolutional Neural Networks and Deep Learning Techniques." Procedia Computer Science 235 (2024): 1409-1418.
• Jyotsna C., Amudha J, Amritanshu Ram, Giandomenico Nollo, “IntelEye: An Intelligent Tool for the Detection of Stressful State based on Eye Gaze Data While Watching Video”, Procedia Computer Science, 2023., Q2 Journal
• Jyotsna C., Amudha J., Raghavendra Rao and Ravi Nayar, Intelligent Gaze Tracking Approach for Trail Making Test, Journal of Intelligent and Fuzzy systems, 2019. (Impact Factor: 2), Q1 Journal
• Amrutha Krishnamoorthy, Vijayasimha Reddy Sindhura, Devarakonda Gowtham, Jyotsna C, Amudha J, “StimulEye: An Intelligent Tool for Feature Extraction and Event Detection from Raw Eye Gaze Data”, Journal of Intelligent and Fuzzy systems, 2020(Impact Factor: 2), Q1 Journal
• Tushar Sawhney, Sereddy Pravin Reddy, Amudha J, Jyotsna, “Helping Hands – An Eye Tracking enabled User Interface Framework for Amyotrophic Lateral Sclerosis Patients”, International Journal of Control Theory and Applications, ISSN:0974-5572, Volume 10, Number 15, January-27-28, 2017.
• Radha, D., Amudha, J., & Jyotsna C. (2014). Study of measuring dissimilarity between nodes to optimize the saliency map. Int. J. Computer Technology & Applications, 5(3).

• Awarded Erasmus International Credit Mobility funding for research at the Behavioral Lab, University of Trento, Italy (Feb 2022 - July 2022).
• Recipient of Amrita Innovation and Research Awards 2020, 2021-22, 2023-24
• Secured funding from Karnataka State Council for Science and Technology (2017-18) for the project "Diagnosis of Reading Disability in Dyslexic Children Using Eye Tracking".
• Won the Best Paper Award for "A Personalized Healthcare Platform for Monitoring Mental Health During COVID" at the International Conference on Computing and Communication Networks, Manchester, UK (Nov 2021).
• Won the Best Paper Award for Predictive Analytics: Machine Learning approach for insights in food production and sales” International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF 2025), Bengaluru

• Reddy, D. Sai Nikhil, G. Mahendra Babu, G. Uttej, and Jyotsna. "Enhancing Water Quality Prediction with Machine Learning and Explainable AI Techniques." In 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), pp. 1-8. IEEE, 2025.
• Lohith, Kandibanda, Joel M. Johnson and Jyotsna C. "Network Intrusion Detection by Integrating BI-LSTM for Enhanced Security." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), pp. 1275-1281. IEEE, 2025.
• Sruthi Srigiri, Deivanai Saravanan and Jyotsna C. "Forecasting Cryptocurrency Prices in the DeFi Ecosystem Using Predictive Models." In 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF), pp. 1-6. IEEE, 2025.
• Reddy, Kamalapuram Vigneswara, Chimakurthy Mounika Begum, Adhi Neeraja, and Jyotsna C. "Enhancing Air Quality Index Forecasting through Machine Learning Models." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), pp. 1188-1194. IEEE, 2025.
• Sivakumar, Parikshith, Aditya Elango, Puvvada Charan Sai, and Jyotsna C. "Predictive Analytics: A Machine Learning Approach for Insights in Food Production and Sales." In 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF), pp. 1-6. IEEE, 2025.
• Ganapathi, Ananya, Deivanai Saravanan, Sneha T. Raghavan. And Jyotsna C. "Classification of Structures and Monuments based on Indian Architectural Styles." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), pp. 1157-1163. IEEE, 2025.
• Muthukumar, Sai Smrithi, Bhavika Gandham, Trisha Vijayekkumaran, Jyotsna C. "Explainable AI-based Detection and Interpretation of Abnormalities in Chest X-rays." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), pp. 1262-1268. IEEE, 2025.
• Adapala, Rishi Manikanta, Yaswanth Kancharla, and Baba Ameer Shaik., Jyotsna C. "Leveraging Machine Learning to Predict Obesity Trends: Insights from Lifestyle and Biometric Data." In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT), pp. 417-423. IEEE, 2025.
• Supraja, P., Ananya Ganapathi, K. Sushmitha Ram, V. Vaishnavi, and Jyotsna. "Vision Enhancer: A Voice-Driven System for Obstacle Detection." In 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA), vol. 1, pp. 1-5. IEEE, 2024.
• Chandana, Sidda Siri, N. Vithyatharshana, Y. Ghnana Prasoona, Yedhoti Thrinayani, and Jyotsna. "Convolutional Neural Network Based Age Estimation using Diverse Facial Datasets." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2024.
• Sharma, Ch Rahul AN, Harsh Kumar Singh, H. Suhas Prabhu, Aniketh V. Jambha, Jyotsna, and Peeta Basa Pati. "Accent Detection in Indian Languages through Convolutional Neural Network based Spectrogram Analysis." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2024.
• Sunil, M., Thippaluru Tharun Sai, Thokali Sanjay, Uppalapati Dhanush, and Jyotsna. "Wireless ECG Monitoring and Automated Heart Diagnosis: A Mobile App Solution Using Deep Learning." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-8. IEEE, 2024.
• Sruthi, Srigiri, Siddharth Emadaboina, and Jyotsna. "Enhancing Credit Card Fraud Detection with Light Gradient-Boosting Machine: An Advanced Machine Learning Approach." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), vol. 1, pp. 1-6. IEEE, 2024.
• Boyina, Kamal, Dutta Swetchana, Gujja Manaswi Reddy, Karru Sushrutha, Peeta Basa Pati, Jyotsna, and Remya Sivan. "Layout Analysis of Malayalam Palm Leaf Images with Fully Convolutional Networks." In 2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC), pp. 01-07. IEEE, 2023.
• Madhav, Kagolanu Venkata Chandra, Asritha Veeramaneni, Pesala Anjani Sriya, Kodur Sumanth, Jyotsna, Tripty Singh, and Prakash Duraisamy. "Handwritten Devanagari Numeral Recognition Using Deep Learning." In 2024 3rd International Conference for Innovation in Technology (INOCON), pp. 1-7. IEEE, 2024.
• Varshith, Tummala, Thanush S. Koneri, Uppalapati Dhanush, Sriramoju Rahul, and Jyotsna. "DeepPave: Detection of Potholes Using Deep Learning Techniques." In 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 1441-1446. IEEE, 2024.
• Sohel, Mohammad Aman, Raghupatruni Sai Madhukar, Sai Muralidhar Batchu, and Jyotsna. "Unmasking Emotions: Deep Neural Networks for Image-Based Emotion Recognition." In 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 1045-1051. IEEE, 2024.
• Nishitha, U., Revanth Kandimalla, and Jyotsna. "Automobile Price Prediction using Machine Learning with Data Visualization." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2023.
• Bysani, Hemanth, Shubham Garg, Aashritha Danda, Tripty Singh, Jyotsna, and Prakash Duraisamy. "Detection of Pneumonia in Chest X-Ray Using Ensemble Learners and Transfer Learning with Deep Learning Models." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-8. IEEE, 2023.
• Nishitha, U., Revanth Kandimalla, Jyotsna, and Tripty Singh. "Eye-COG: Eye Tracking-Based Deep Learning Model for the Detection of Cognitive Impairments in College Students." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2023.
• Vinayak, Vineet, and Jyotsna. "Consumer Complaints Classification using Deep Learning & Word Embedding Models." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2023
• Vinayak Vineet, Mohan Paliwal, J. Amudha, and Jyotsna. "Prediction of Neuro Cognitive Disorders using Supervised Comparative Machine Learning Model & Scanpath Representations." In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-5. IEEE, 2023.
• Rajanidi Ganesh Phanindra, Nudurupati Prudhvi Raju, Thania Vivek, Jyotsna C, “Face Model Generation Using Deep Learning”, International Conference on ICT for Intelligent Systems, 2022.
• Jyotsna C., Dr. Amudha J., Sreedevi Uday, “A Personalized Healthcare Platform for Monitoring Mental Health of a Person during COVID”, International Conference on Computing and Communication Networks (ICCCN-2021)
• Kiritbhai, P. M., & Jyotsna C. An Automated University Gate Pass Monitoring System Using Deep Learning. In 2021 International Conference on Communication, Control and Information Sciences (ICCISc) (Vol. 1, pp. 1-6). IEEE. 2021
• Supraja, P. Revati, K. Sushmitha Ram., Jyotsna C., “An Intelligent driver Monitoring System, “2nd International Conference On Communication, Computing & Industry 4.0, 2021
• Akshaya, T. Pranitha, S. Sree Harika, V. V. Priya Bharathi, Jyotsna C., Amudha J., “An interactive system for assessing emotional wellness”, International Conference On Soft Computing & Signal Processing, 2020
• Ramshankar Yadhunath, Srivenkata Srikanth, Arvind Sudheer, Jyotsna C, Amudha J, “Detecting Surface Cracks on Buildings using Computer Vision: An Experimental Comparison of Digital Image Processing and Deep Learning”, International Conference On Soft Computing & Signal Processing, 2020
• Amrutha C. V., Jyotsna C, “A Robust System for Video Classification: Identification and Tracking of suspicious Individuals from Surveillance Videos”, International Conference On Soft Computing & Signal Processing, 2020
• Amrutha C. V., Jyotsna C., & Amudha J, “Deep Learning Approach for Suspicious Activity Detection from Surveillance Video”, 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 335-339), 2020.
• Karthik, G., Amudha, J., Jyotsna C, “A Custom Implementation of the Velocity Threshold Algorithm for Fixation Identification”. International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 488-492), November 2019.
• Sowmyasri, R.Ravalika, Jyotsna C, Amudha J., “An Online Platform for Diagnosis of Children with Reading Disability”, International Conference On Computational Vision and Bio Inspired Computing(ICCVBIC 2019)
• Sudarshana Tamuly, Jyotsna, Amudha , “Tracking Eye Movements To Predict The Valence of A Scene”, The 10^thInternational Conference On Computing, Communication And Networking Technologies, 2019
• Shravani, Ramya Sai, M. Vani Shree, Amudha J, Jyotsna C, “Assistive Communication Application for Amyotrophic Lateral Sclerosis Patients”, International Conference On Computational Vision and Bio Inspired Computing(ICCVBIC 2019)
• Sudarshana Tamuly, Jyotsna, Amudha J, “Deep Learning Model for Image Classification”, International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2019)
• Navya, S.SriDevi, P.Akhila, Amudha J, C. Jyotsna, “Third Eye: Assistance for Reading Disabiltiy”, International Conference On Soft Computing & Signal Processing, 2019
• Pavani M. L., Prakash A. B., Koushik, M. S., Amudha, J., & Jyotsna C. (2019). Navigation Through Eye-Tracking for Human–Computer Interface. In Information and Communication Technology for Intelligent Systems (pp. 575-586). Springer, Singapore.
• Mounica, M. S., Manvita, M., Jyotsna C., & Amudha, J., “Low Cost Eye Gaze Tracker Using Web Camera”, 3rd International Conference on Computing Methodologies and Communication (ICCMC) (pp. 79-85). IEEE, March 2019.
• Jyotsna C., & Amudha J. “Eye Gaze as an Indicator for Stress Level Analysis in Students”, International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1588-1593). IEEE, 2018.
• Sreedevi Uday, Jyotsna, and J. Amudha. "Detection of Stress using Wearable Sensors in IoT Platform", Second International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2018.
• Padmini Pragna, Sahithi Dandu, Meenakzshi M, C. Jyotsna, Amudha J., “Health Alert System to Detect Oral Cancer”, International Conference on Inventive Communication and Computational Technologies, ICICCT 2017.
• Venugopal D., Amudha, J., Jyotsna C. "Developing an application using eye tracker", IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016.