faculty Profile

• Pursuing Ph.D at Anna University, Chennai
• M.E – Computer Science and Engineering, Anna University, CGPA : 9.35
• B.TECH – Information Technology, Anna University, CGPA : 7.7

• Working as Assistant Professor in the Department of CSE, SVCE from February 2021 to till date.

Courses Handling

• Machine Learning Techniques.
• Artificial Intelligence and Machine Learning Laboratory

Courses Handled

• Dataming and Datawarehousing
• Deep Learning Algorithms and Architecture
• Computer Networks
• User Interface Technologies
• Object Oriented Programming and Data Structures
• Operating System Laboratory
• User Interface Technologies Laboratory
• Programming for Problem-Solving Laboratory
• Applied Machine Learning Laboratory
• Object Oriented Programming and Data Structures Laboratory
• Advanced User Interface Technologies
• Software Engineering Laboratory
• Cloud and Big Data Analytics Lab
• Deep Learning Laboratory

Book Chapter Published
• G. R. Khanaghavalle et al. published a book chapter titled, “Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery”, in Business Intelligence and Data Analytics: Proceedings of BIDA 2025, a Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 454), Springer.
• G. R. Khanaghavalle et al. published a book chapter titled, “A Deep LSTM Recurrent Learning Approach for Sentiment Analysis on Movie Reviews”, in Intelligent Systems and Sustainable Computational Models, Auerbach Publications, 2024, pp. 202-211.
• G. R. Khanaghavalle et al. published a book chapter titled, “Anomaly Detection in Pulmonary Acoustics through Neural Networks”, in Research Trends in AI & IoT for Infrastructure and Industry, Veda Publications, ISBN: 978-93-91930-97-4.

Patents
• Dr P. Sharon Femi, Dr A. Kala, Ms V. Rajalakshmi, Ms. G. R. Khanaghavalle, Ms R. Saktheeswari, Ms M. Harini Padma and Ms L. Krithika, published a patent in IPR, Chennai, titled “Smart Electricity Generation using Piezoelectric” on 24th March 2023.
• Ms V. Rajalakshmi, Ms G. R. Khanaghavalle, Dr A. Kala, Dr P. Sharon Femi, Dr R. Jayabhaduri, Mr B. Divyamsh, Mr R. Iyyappan, and Mr S. Nanda Kumar, published a patent titled “IoT Based WiFi Enabled Smart Gardening System” in IPR, Chennai on 10/02/2023.

International Journals

• G. R. Khanaghavalle, Dr R. Anitha, “A Vision Transformer-based Approach for COPD Detection Using Hybrid Time-Frequency Feature” in Signal, Image and Video Processing (Springer Nature), Volume 20, an SCI-indexed journal. Impact Factor: 2.1
• Rajalakshmi Viswanathan, Sharon Femi Paul Sunder Nathaniel, Kala Alwarsamy, Khanaghavalle Rajendran (2025), Detection of fake news in social media using CNN with grey wolf optimized BERT. Acta Scientiarum. Technology, 47(1), e73210.
• Khanaghavalle G R, Arvind Nachiappan L, Bharath Vyas S, Chaitanya M, “Handwritten Tamil Character Recognition using Deep Neural Networks”, International Journal of Science Trends and Technology, Vol. 10, Issue 4, Aug 2022.
• Ms. Khanagavalle G R, Ms. Kamalishree A, Ms. Kavya Rajendran, Ms. Priya Shrinithi R, “Sentiment Analysis on Movie Reviews”, International Journal of Science & Engineering Development Research, ISSN:2455-2631, Vol.7, Issue 7, page no.5 – 10, July-2022.
• Khanaghavalle G.R, Keerthana S, “Deep Learning For Scene Text Detection: A Survey”, International Journal of Creative Research Thoughts (IJCRT), ISSN: 2320-2882, Vol. 8, Issue 3, pp. 454-458, March 2020.
• Dr. N. Rajeswari, Khanaghavalle G. R, “Arbitrary Shape Hindi Text Detection For Scene Images”, International Research Journal of Engineering and Technology (IRJET), ISSN: 2395-0056, Vol. 7, Issue 5, pp. 7466-7471, May 2020.

Funded Projects:

• Received a project from TNSCST (2022) titled: “Handwritten Tamil Character Recognition using Deep Neural Networks”, June 2022, Amount Rs. 7500.

Funded Projects Received

• Dr. V. Rajalakshmi, Dr. R. Anitha, Ms. K. S. Subhashini, Ms. G. R. Khanaghavalle, Ms. S. Janani has received a project LITD 0267 titled “Study for Determination of Optimal Operating Life of Television Sets (TVs) and Collection of Data Related to Manufacturing of Televisions”, for the amount of Rs. 4,05,000/- offered by Bureau of Indian Standards (BIS), 2026.
• Dr. V. Rajalakshmi, ASP/CSE and Ms. G. R. Khanaghavalle, AP/CSE has received an Intramural Research Grant from Sri Venkateswara College of Engineering for the amount of Rs. 1,00,000/- for the project titled “Intelligent Detection System for Predicting ADHD and Dyslexia from Eye Movements, Emotional States and Voice Inputs”, December 2025.

International Conference

• Khanaghavalle, G. R., et al. presented a paper titled “Dropshipping Using Current Market Analysis”, International Conference on Computing and Communication Technologies (ICCCT), IEEE, 2025.
• Khanaghavalle, G. R., et al. presented a paper titled “Chronic Obstructive Pulmonary Disease Severity Classification using Lung Sound”, 2024 10th International Conference on Communication and Signal Processing (ICCSP), IEEE, 2024.
• Khanaghavalle, G. R., et al. presented a paper titled “An Effective Approach for Detecting Videos using Long Short-term Memory and RESNET”, International Conference on Communication, Computing and Internet of Things (IC3IoT), IEEE, 2024.
• Khanaghavalle, G. R., et al. presented a paper titled “Cardiovascular Anomaly Prediction Using Machine Learning Technique”, International Conference on Advanced Technology in Engineering and Management, IEEE, 2024.
• Ms G. R. Khanaghavalle, Allen Manoj, Janani Karthikeyan, and Ritunjay Murali presented a paper entitled “A Deep Learning Framework for Multiclass Categorization of Pulmonary Diseases” at IEEE World Conference on Communication & Computing (IEEE-WCONF), July 14–16, 2023.

Certified Courses Completed

• Completed an online course on “MongoDB Basics” from MongoDB University.
• Completed a certified course on “Modern HTML & CSS from the Beginning” from Udemy.
• Completed a certified course on “Web Analytics” from Accenture Future Learn.
• Completed a certified course on “Digital Teaching Technique” authorized by ICT Academy and offered by Atos Syntel.
• Completed a six-month course on “Deep Learning” from OneFourth Labs, January 2019 – July 2019.
• Completed a course on “AWS Machine Learning” authorized by Amazon Web Services and offered through Coursera.

FDP Attended

• Attended a 5-day Online Faculty Development Program (FDP) on “Inculcating Universal Human Values in Technical Education”, organized by AICTE, June 9–13, 2025.
• Participated in a two-week FDP on “Innovative Research Opportunities and Applications of Data Science in the Industry 5.0 Paradigm”, organized by SRM Institute of Science and Technology, August 18–31, 2023.
• Participated in an International Workshop on “Research Ethics for Scholars and Librarians”, organized by KPR Institute of Engineering and Technology, November 19, 2023.
• Participated in an International Level FDP on “Modern Research Convergence in Next Generation Computing”, December 18–22, 2023.
• Participated in an Industry Supported 5-day Online STTP on “Recent Trends and Applications in IoT”, February 27 – March 2, 2024.
• Participated in FDP on “Hands-on Training on Data Science Tools” in association with ISTE, January 23–28, 2023.
• Participated in AICTE ATAL Academy FDP on “Kotlin: The Next Frontier in Metaprogramming”, July 5–9, 2021.
• Attended an FDP on “MATLAB for Data Scientists”, April 5–9, 2021 at Sri Venkateswara College of Engineering.

STTP Attended

• Attended a short-term training program on “Emerging Trends and Perspectives in Artificial Intelligence, Machine Learning and Deep Learning”, March 16–20, 2026.
• Attended a training programme on “Modelling Techniques and VR Interaction”, conducted by TANSAM, April 28 – May 3, 2025.
• Attended a Short Term Training Program on “Recent Trends in Computing”, April 26–29, 2021.

Workshops Organized

• Organised a Short Term Training Programme on “Agentic AI: From AI Models to AI Agents”, February 23–28, 2026.
• Organised a 6-day workshop series on “MATLAB BOOTCAMP: Begin to Code”, March 17–22, 2025.
• Organised a short-term training programme titled “From Dream to Reality: AI Leading the Future”, March 18–23, 2024.
• Organised a National Workshop on “How to Build Your Own Drone” in association with Copter Tech Company Foundation, March 20–21, 2023.
• Organised a National Level Workshop on “Documenting Technical Reports using LaTeX”, June 1–5, 2021.

Workshops Attended

• Participated in IP Awareness/Training Program under National Intellectual Property Rights, November 2, 2022.
• Participated in a Five Day Online Workshop on “Quantum Computing and Its Applications”, September 19–23, 2022.
• Participated in a one-day workshop on “Curriculum Design”, October 18, 2022.
• Participated in “Data Analytics using Power BI”, September 26–27, 2019.
• Participated in “Selenium – Automation Testing”, August 29, 2019.

Lectures Delivered

• Delivered a lecture on “Convolutional Neural Network” in a workshop series on “From Scratch to Deployment: Hands-On Model Building with Keras and TensorFlow”, October 16, 2024.
• Guest speaker for the FDP on “MATLAB for Data Scientists” at Sri Venkateswara College of Engineering.

Current Responsibilities

• NPTEL Coordinator (CS & AD Student & Faculty)
• H&M Coordinator (CS)
• Brochure Incharge
• CS LAB 14 (Computer Vision Lab)

Previous Responsibilities

• Result Analysis Coordinator
• EDC / EPIC Coordinator
• NPTEL Coordinator
• IIC Coordinator
• Continuous Assessment Test (CAT) Coordinator

• Received a grant of Rs.7500 from TNSCST for the project titled “Handwritten Tamil Character Recognition using Deep Neural Network”