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Dr Ruchilekha
- Assistant Professor
- Computer Science and Engineering
Dr Rucilekha completed her PhD from the Institute of Science, Banaras Hindu University (BHU), Varanasi. Her research focused on developing affective and cognitive computing frameworks using machine learning and deep learning techniques. Her key areas of interest include emotional intelligence, affective computing, signal processing, image processing, and machine learning. She has worked extensively on emotion groups recognition using physiological signals such as EEG, EMG, EOG, GSR, etc. Her work has practical applications in human-machine interaction, healthcare, marketing, and humanoid technologies.
Qualification
- PhD (Computational Science)
- MSc (Computational Science)
- BTech (Electronics & Communication Engineering)
Experience
- Total – 1.5 Year
- Research – 1.5 Years
Research Area(s)
- Machine Learning
- Signal Processing
- Computer Vision
- Image Processing
Courses Taught
- Signal Processing
- Human-Machine Interface
Publications
Research Papers
- Ruchileka, M. K. Singh, Mona Singh, “A Deep Learning Approach for Subject-Dependent & Subject Independent Emotion Recognition using Brain Signals with Dimensional Emotion Model”, Biomedical Signal Processing and Control, Volume 84, 2023, 104928, ISSN 1746-8094. doi: 10.1016/j.bspc.2023.104928
- Kumar, S., Ruchilekha, Singh, M.K. Singh, M.K. Mishra, “DFFnet: delay feature fusion network for efficient content-based image retrieval’’ Pattern Analysis and Applications, 28, 82 (2025). Doi: 10.1007/s10044-025-01449-2
Conference Papers
- Ruchilekha and M. K. Singh, “Empirical study of emotional state recognition using multimodal fusion framework,” ACM proceeding of Image, Video and Signal Processing (IVSP 2023), March 24-26, 2023, Singapore, Pages 13, doi:10.1145/3591156.3591160
- Varad Srivastava, Ruchilekha, “Diagnosing Covid-19 using AI based Medical mage Analysis,” in 5th Joint International Conference on Data Science & Management (9th ACM IKDD CODS and 27th COMAD) (CODS-COMAD 2022). Association for Computing Machinery, New York, 204–212.
- Mona Singh, Suneel Kumar, Ruchilekha and M. K. Singh, “A Comparative Study of Feature Extraction Techniques and Similarity Measures for Image Retrieval,” Proceeding of IEEE. 2022 International Conference on Futuristic Technologies (INCOFT), Belgaum, India, pp. 1-7, 2022, ISBN:978-1-6654-5047-8, doi: 10.1109/INCOFT55651.2022.10094430
Book & Book Chapters:
- Ruchilekha, Varad Srivastava, M. K. Singh, “Emotion Recognition Using Phase-Locking-Value Based Functional Brain Connections Within-Hemisphere and Cross-Hemisphere,” Intelligent Human Computer Interaction (IHCI-2023). Lecture Notes in Computer Science, Vol 14531.
- Ruchilekha, Manoj Kumar Singh, Rajiv Singh, “Towards Deep Learning based Wilt Disease Detection System” Conference Proceedings of Intelligent Systems and Smart Infrastructure (ICISSI) – 2022, CRC Press, Taylor & Francis Group, London, ISBN 978-1-032-41287-0, 2023.
- Varad Srivastava., Ruchilekha, M. K. Singh, “GenEmo-Net: Generalizable Emotion Recognition Using Brain Functional Connections Based Neural Network,” Intelligent Human Computer Interaction (IHCI-2023). Lecture Notes in Computer Science, Vol 14531.
- Suneel Kumar, Mona Singh, Ruchilekha, M. K. Singh, “Semantic Segmentation Based Image Signature Generation for CBIR,” Intelligent Human Computer Interaction (IHCI-2023). Lecture Notes in Computer Science, Vol 14532.
Selected Publications
- Ruchileka, M. K. Singh, Mona Singh, “A Deep Learning Approach for Subject-Dependent & Subject Independent Emotion Recognition using Brain Signals with Dimensional Emotion Model”, Biomedical Signal Processing and Control, Volume 84, 2023, 104928, ISSN 1746-8094. doi: 10.1016/j.bspc.2023.104928
- Kumar, S., Ruchilekha, Singh, M.K. Singh, M.K. Mishra, “DFFnet: delay feature fusion network for efficient content-based image retrieval’’ Pattern Analysis and Applications, 28, 82 (2025). Doi: 10.1007/s10044-025-01449-2
- Ruchilekha, Varad Srivastava, M. K. Singh, “Emotion Recognition Using Phase-Locking-Value Based Functional Brain Connections Within-Hemisphere and Cross-Hemisphere,” Intelligent Human Computer Interaction (IHCI-2023). Lecture Notes in Computer Science, Vol 14531.
- Ruchilekha and M. K. Singh, “Empirical study of emotional state recognition using multimodal fusion framework,” ACM proceeding of Image, Video and Signal Processing (IVSP 2023), March 24-26, 2023, Singapore, Pages 13, doi:10.1145/3591156.3591160
- Ruchilekha, Manoj Kumar Singh, Rajiv Singh, “Towards Deep Learning based Wilt Disease Detection System” Conference Proceedings of Intelligent Systems and Smart Infrastructure (ICISSI) – 2022, CRC Press, Taylor & Francis Group, London, ISBN 978-1-032-41287-0, 2023.
Awards & Recognition:
- Certificate of Appreciation for presenting innovative implementable ideas in Samhar-COVID19 HACKATHON, 2020.
- Poster presented on, “Smart Telehealth: AI-powered Telemedicine and Telemonitoring to facilitate remote patients” at AICraft 2.1 held at Amity University, Noida.
Professional Activities & Achievements:
Tutorial & Talks Invited:
- Data Transformation and Discovery- Exploring Dimensional Reduction, November 13, 2023, Graduate School of Data Science, Chonnam National University, Gwangju, South Korea.
Conferences Organized
- Presented a paper entitled as, “SNR Improvement for Non-Contact Vital Signals” in One-day National Conference on Recent Advances in Mathematical Sciences – April 22, 2018, held at Banaras Hindu University, Varanasi.
- Presented a paper entitled as, “A Wilt Disease Detection System using a Deep Learning Algorithm” in 1st International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND) – March 3-4, 2019, held at NIT, Kurukshetra.
- Presented a paper entitled as, “Emotion Recognition & Classification of EEG Signals using Multi features and Deep Neural Network Algorithm” in International Conference on New Vistas in Pure 2/4 & Applied Mathematics and Statistics (ICNVPAMS) – November 24-26, 2019, held at University of Rajasthan, Jaipur.
- Participated in International Conference on Intelligent Human Computer Interaction (IHCI) – December 12-14, 2019, held at Indian Institute of Information Technology, Allahabad. 5. Presented a paper entitled as, “Towards Deep Learning Based Wilt Disease Detection System” in International Conference on Intelligent Systems and Smart Infrastructure Engineering and Technology (ICISSI) – May 21-22, 2022, held at SIET, Prayagraj.
- Presented a paper entitled as, “Emotion Recognition using Phase Locking Value based Functional Brain Connections within-hemisphere and cross-hemisphere” in International Conference of The Mathematical Society On Recent Trends in Mathematical and Computational Sciences (RTMCS) – February 3-5, 2023, held at Institute of Science, Banaras Hindu University, Varanasi.
Workshops:
- Workshop on Innovations and Trends in Computational Cognitive Science, Banasthali Vidyapith, Rajasthan – January 2-7, 2019.
- Workshop on Cognitive Computing, Indian Institute of Information Technology Allahabad – December 12, 2019. 3. Workshop on Brain-Machine Interface (“KAARYASHALA”), Birla Institute of Technology Mesra, Ranchi – August 22-28, 2022.
- Workshop on EEG/ERP Analysis, National Neuroimaging at CBCS, University of Allahabad, Prayagraj – October 20-21, 2022.
- Workshop on Brain Computation & Learning (BCL), Indian Institute of Science (IISc), Bengaluru – January 9-13, 2023.
- Workshop on Deep Learning and Artificial Intelligence (DLAI), National Institute of Technology, (NIT), Kurukshetra – February 24 to March 01, 2025.