Dr Kuruba Vannur Swamy
Assistant Professor
About
Dr. K. Vannur Swamy is an Assistant Professor in the Department of Intelligent Computing and Business Systems at St Joseph Engineering College, Mangaluru. He holds a Ph.D. in Computer Science from Mangalore University and an M.Sc. in Computer Science from Vijayanagara Sri Krishnadevaraya University, Ballari. With teaching experience at reputed institutions, including the National Institute of Technology Karnataka (NITK), Surathkal, and Mangalore University, his expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Quantum Computing, and Medical Image Processing.
His research focuses on multimodal biometric recognition, face and iris authentication, biometric security, and quantum-enhanced intelligent systems. He has authored and co-authored research papers published in reputed journals and presented at international conferences, including IEEE- and Springer-associated venues. In recognition of his contributions, he received the Best Young Faculty Award from the Xavier Institute for Research and Development in September 2026 and the Best Paper Award at PCEMS 2024, held at VNIT Nagpur. He has also qualified the UGC-NET and KSET examinations in Computer Science and Applications and holds the Qniverse Developer Certification from C-DAC, Bengaluru.
Dr. Vannur Swamy actively contributes to academic development through invited talks, professional training, and academic advisory and examination roles. He is committed to fostering a student-centric learning environment that encourages innovation, critical thinking, and research excellence. Through teaching, mentoring, and interdisciplinary collaboration, he strives to inspire students and young researchers to explore emerging technologies and develop intelligent, secure, and impactful solutions to real-world challenges.
Education Qualifications
| Sl.No | Qualification Level | University | Area of Specialization | Year of completion | Awards | ||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ph.D. | Mangalore University | Machine Learning, Deep Learning & Compute Vision | 2026 | |||||
| 2 | M Sc. Computer Science | Vijayanagara Sri Krishnadevaraya University,Ballari, Karnataka | 2018 | ||||||
| 3 | BCA | Vijayanagara Sri Krishnadevaraya University,Ballari, Karnataka | 1992 | ||||||
Responsibilities At SJEC
- Academic Advisors Member, Department of Computer Science and Data Science, St Aloysius College (Deemed to be University).
- BoE Member, Department of Computer Applications (MCA), St. Philomena College (Autonomous), Puttur.
Work Experience
· Current
o St Joseph Engineering College, Vamanjoor, Manglaore
o Assistant Professor In ICBS
o Oct 2026 Onwards
· Previous
o National Institute of Technology Karnataka (NITK), Surathkal, Mangalore.
o Assistant Lecturer in CSE
o August 2025 - September 2026
· Previous
o Mangalore University, Mangalore
o Lecturer in Computer Science
o March 2023 - April 2025
· Previous
o Veerashaiva College, Ballari
o Lecturer in Computer Science
o September 2022 - February 2023
· Previous
o Smt. ASM College, Ballari
o Lecturer in Computer Application
o February 2020 - August 2022
· Previous
o SSA Government First Grade College, Ballari
o Lecturer in Computer Science
o July 2020 - January 2022
· Previous
o PRK Degree College, Ballari
o Lecturer in Computer Science
o September 2018 - December 2019
· Previous
o VAPS Technosoft, Bangalore
o CCE Engineer
o July 2014 - May 2016
Research Areas
· Artificial Intelligence & Machine Learning
· Deep Learning
· Computer Vision & Pattern Recognition
· Quantum Machine Learning
· Quantum Cryptography
· Medical Image Processing
· Information and Network Security
Conference Proceedings
1. Prafulla, Ruban S, K Vannurswamy, Annapoorna, “Deep Learning-Based Classification of Neurological Disorders: Alzheimer’s and Parkinson’s Disease.” IEEE Mangalore Subsection is organizing the 10th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (2026 IEEE DISCOVER) at VCE Puttur.
2. Sarojani Priya, Mahendra Pratap Singh, K Vannurswamy, Shyam Lal, “Attack Detection in Software-Defined Networking Using Quantum-Enhanced ANN.” International Conference on Recent Advancement in Electrical, Computer and Communication Technologies (IECCT 2026), organized by MVJ Engineering College, Bangalore.
3. K Vannurswamy, Shekar, B. H., Annapoorna, Yogesh, and Sharmila Kumari, “Face and Iris-Based Person Recognition Through CNN-Based Feature Extraction.” International Conference on Responsible Artificial Intelligence (ICRAI 2025), Springer, organized by Karnataka University, Dharwad, Karnataka, during December 15–16, 2025.
4. K Vannurswamy, Shekar, B. H., Bharathi Pilar, Annapoorna, and Yogesh, “Enhanced Security for Cancelable Multimodal Biometric Template Protection Using DCT and Lagrange Interpolation.” International Conference on Responsible Artificial Intelligence (ICRAI 2025), Springer, organized by Karnataka University, Dharwad, Karnataka, during December 15–16, 2025.
5. Prakash M, K Vannurswamy, Hemanth Kumar G, and Shekar, B. H., “An Ensemble Approach Combining Deep Feature Extraction and Classical Classifiers for Robust Face and Iris Recognition.” 9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (2025 IEEE DISCOVER), organized by IEEE Mangalore Subsection at P. A. College of Engineering, Konaje, Mangalore.
6. K Vannurswamy, Shekar, B. H., Sharmila Kumari, Annapoorna, and Yogesh, “Enhancing Face and Iris Recognition-Based Person Identification with DCT and DWT Features.” 9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (2025 IEEE DISCOVER), organized by IEEE Mangalore Subsection at P. A. College of Engineering, Konaje, Mangalore.
7. Prakash M, K Vannurswamy, Hemanth Kumar G, and Shekar, B. H., “Advancing Person Authentication: Integrating Face and Finger Vein Biometrics Using DCNN-Based Feature Fusion.” 8th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), Springer, to be organized by the National School of Applied Sciences, Marrakech, Morocco, on December 11–13, 2025, in collaboration with the Research Laboratory in Sustainable and Intelligent Technologies (LaRTID), Marrakech, Morocco, and the AI Research Lab at the University of South Dakota, USA.
8. Prakash M, Hemanth Kumar G, and K Vannurswamy, “Enhanced Multimodal Biometric Framework: Leveraging Ensemble Deep Learning Architectures for Face and Vein Recognition.” 9th International Joint Conference on Advances in Computational Intelligence (IJCACI 2025), Springer, to be organized by Washington University of Science and Technology (WUST), Alexandria, United States, and RV Institute of Management (RVIM), Bangalore, India, during August 23–24, 2025.
9. Prakash M, Hemanth Kumar G, and K Vannurswamy, “Adaptive BioHashing via Reinforcement Learning: A Dynamic Template Protection Framework for Multimodal Biometrics.” 6th International Conference on Data Science and Applications (ICDSA 2025), Springer, to be organized by Malaviya National Institute of Technology Jaipur, India, during July 16–18, 2025.
10. Prakash M, Hemanth Kumar G, and K Vannurswamy, “Deep Feature and Score-Level Fusion for Robust Face and Iris Biometric Authentication.” 5th International Conference on Intelligent Vision and Computing (ICIVC), Springer, to be organized by The ICFAI University, Dehradun, during June 13–14, 2025.
11. K Vannurswamy, Shekar, B. H., Bharathi Pilar, Karunakar Kotegar A., and Frank Jian, “Biometric Template Protection Through Advanced Feature Extraction and AES Encryption in Face and Iris Recognition.” International Conference on Responsible Artificial Intelligence (ICRAI 2024), Springer, to be organized by Mangalore University, Mangalore, Karnataka, during December 16–17, 2024.
12. K Vannurswamy, Shekar, B. H., Bharathi Pilar, Karunakar Kotegar A., and Frank Jian, “Integrating Handcrafted MLBP and Deep Features Using VGG16 for Face Presentation Attack Detection.” 3rd Congress on Smart Computing Technologies (CSCT 2024), organized by the National Institute of Technology Sikkim, India, during December 14–15, 2024.
13. K Vannurswamy and Shekar, B. H., “Xception-Based Face Anti-Spoofing Approach for Secure Biometric Authentication.” 3rd International Conference on Paradigm Shifts in Communication Embedded Systems, Machine Learning and Signal Processing (PCEMS 2024), Springer, VNIT Nagpur, 2024.
14. K Vannurswamy, Shekar, B. H., Bharathi Pilar, Karunakar Kotegar A., and Frank Jian, “Enhanced Multimodal Biometric Fusion with DWT, LSTM, and Attention Mechanism for Face and Iris Recognition.” 3rd IEEE International Conference on Computer Vision and Machine Intelligence (IEEE CVMI), IEEE, IIIT Allahabad, 2024.
15. K Vannurswamy, Shekar, B. H., Bharathi Pilar, Karunakar Kotegar A., and Frank Jian, “Deep Ensemble Learning Approach for Face Anti-Spoofing Detection Based on Pre-trained Models.” 3rd IEEE International Conference on Computer Vision and Machine Intelligence (IEEE CVMI), IEEE, IIIT Allahabad, 2024.
16. Shekar, B. H., K Vannurswamy, and Bharathi Pilar, “Enhancing Security and Privacy in User Authentication Systems: Leveraging DCT and Lagrange’s Interpolation.” 5th International Conference on Cognitive Computing and Information Processing (CCIP 2023).
Awards and Recognitions
- Received Best Young Faculty Award from Xavier Institute for Research and Development on 05 Sep 2026.
- Secured Best Paper Award in Embedded Systems and Signal Processing at the 3rd International Conference on Paradigm Shifts in Communications, Embedded Systems, Machine Learning, and Signal Processing (PCEMS 2024), Visvesvaraya National Institute of Technology, Nagpur, India, 11th-12th November 2024.
Workshop/FDPs Attended
A. Invited Talks
1. Industry Readiness for BCA Students, Dept of BCA, Mahaveera College, Moodabidri, 2-Jul-2026.
2. From Idea to Publication: How to Do Research and Write a Strong Paper, Dept of Computer Science, St Aloysius College (Deemed to be University), 11-Feb-2026.
3. Quantum Computing for the Modern World: Concepts and Applications, Dept of BCA, Hira Women’s College, Tokkattu, Mangalore, 15-Oct-2025.
4. Generative AI in Action: Transforming Real-World Applications, Dept of BCA, Canara College Mangalore, 27-Sept-2025.
5. Technical Paper Writing Using Latex, Dept of CSE, PA College of Engineering 15-May-2024.
6. Machine Learning Using Python, Dept of MCA Poornapragna College, Udupi 5-June-2023.
B. Faculty Development Programmes (FDPs)
1. FDP on “Generative and Agentic AI – Tools & Demos”, organized by SVNIT in association with Pantech Solutions, 16–21 February 2026.
2. FDP on “AI in Healthcare: Intelligent Systems and Applications for Modern Medical Needs”, organized by Sreedevi Institute of Science and Technology, 06–10 January 2026.
3. FDP on “QT-06 Quantum Sensing”, jointly organized by the Electronics and ICT Academies of MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal, 26 September–17 October 2025.
4. FDP on “QT-06 Quantum Communication”, jointly organized by the Electronics and ICT Academies of MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal, 18 August–11 September 2025.
5. FDP on “QT-05 Quantum Computation”, jointly organized by the Electronics and ICT Academies of MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal, 11 July–02 August 2025.
6. FDP on “QT-03-04 Basics of Quantum Programming”, jointly organized by the Electronics and ICT Academies of MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal, 16 May–07 June 2025.
7. FDP on “QT-02 Foundations of Quantum Technologies”, jointly organized by the Electronics and ICT Academies of MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal, 11 April–03 May 2025.
8. FDP on “QT-01 Quantum Technologies and Applications”, jointly organized by the Electronics and ICT Academies of MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal, 28 February–22 March 2025.
9. FDP on “Machine Learning”, organized by Certisured in association with Sai Vidya Institute of Technology, Bangalore, 05–08 January 2025.
10. FDP on “Elevating Healthcare through Advanced Medical Image Processing”, organized by the Department of Computer Science, Mangalore University, 26 February–02 March 2024.
11. FDP on “Deep Learning Techniques for Advancing Medical Image Processing”, organized by the Department of Computer Science, Mangalore University, 2023.
12. FDP on “Deep Learning”, organized by DY Patil School of Engineering, Pune, 23–28 January 2023.
13. FDP on “Research Avenues in Biometrics using Low Cost Devices”, organized at JSS Science and Technology University, Mysore, 05–10 December 2022 and 12–16 December 2022.
14. FDP on “Principles of Artificial Intelligence, Machine Learning, and Deep Learning”, 26–30 November 2021.
C. Workshops / Short-Term Courses / Training Programmes
1. Training Certificate course on “Security and Privacy “Organized by Kawach.AI on Sept 2026.
2. Workshop on “Application of Quantum Technologies in Science and Engineering”, organized by IIT Mandi, 15–16 September 2026.
3. Familiarisation Workshop on Quantum Computing, organized by FQCI, IISc Bangalore, 09–13 February 2026.
4. Workshop on “Video/Image Content Analytics for Forensic and Surveillance Applications”, conducted by Mangalore University, 08–13 May 2023.
5. One-Week IEEE CIS Summer School on “Computational Advances in Deep Learning and Applications (CADLA) 2023”, organized by IIIT Allahabad, 17–21 July 2023.
6. One-Week Self-Sponsored Short-Term Course on “Advances in Deep Learning Architectures for Signal, Image & Vision Applications (ADASIVA 2023)”, organized by IIIT Allahabad, 30 October–03 November 2023.
7. Winter School on “Deep Learning: From Perceptron’s to Diffusion Models”, organized by the Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, 06 January–04 March 2023.
8. Online Course on “Math of Machine Learning Spring School”, organized by IIT Kharagpur AI4ICPS I-HUB Foundation, IIT Kharagpur, March 2023.
9. Workshop on “Research and Publication Ethics”, conducted by the Department of Education (M.Ed.), Mangalagangotri, Mangalore University, 18–23 February 2022.
10. Workshop on Research Methodology, conducted by the Department of Biosciences, Mangalore University, 18 December 2021.
11. Webinar on “How to Read Scientific Literature?”, November 2021.
12. Online Course on “Introduction to Digital Image Processing”, organized by NPTEL and IIT Kharagpur; resource person: Prof. P. K. Biswas, Department of Electronics & Electrical Communication Engineering, IIT Kharagpur.
13. One-Week Short-Term Course on “Advances in Deep Architectures for Signal, Image & Vision Applications (ADASIVA)”, organized by Computer Vision & Biometrics Lab (CVBL), Department of IT, IIIT Allahabad, 06–10 December 2021.
Contact Information
Dr Kuruba Vannur Swamy
Assistant Professor
