Current Position: Assistant Professor,
Qualification: B.Sc.,M.Sc.,Ph.D.
Teaching Experience: 11+ years
Courses offered: Artificial Intelligence & Machine Learning, Biometrics, Programming Languages- Matlab and Python, Software Engineering, Cloud Computing. Communication Skills.
Current research interests: Image Processing and Pattern Recognition.
Research Experience: 9 + years
No. of Paper published in Journals : 4
No. of Papers presented in National/International symposia/conferences: 16
Patents: 1
Achievements/Awards:
1. PATENT :Method and System to Find Anamoly Detection in Medical Record. Patent Office Journal No. 04/2022, With the Application No. 202241002593 A, Dated 28/01/2022.
2. Qualified K-SET in 2015.
3. Received Best Oral Presentation award for the presentation on “Extensive analysis of Deep CNN based Multispectral Palmprint Verification System on all Fusion Levels.”, AI Summit 2023 Towards Smart Sustainable Society [AISSS2023], Springer.
4. Visiting Faculty :Huanghuai University of China, Zhumadian, China.

PUBLICATION-JOURNAL

1. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A Case Study Using Face and Palmprint, International Journal of Biometrics & Bioinformatics (IJBB) 2016, Vol. 10, no. 3, pp. 24-33.
2. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Multimodal biometric system on various levels of fusion using LPQ features, Journal of Information and Optimization Sciences 2018, Vol. 39, no.3, pp. 169-181.
3. H D Supreetha Gowda., Mohammad Imran and G Hemantha Kumar. Noise-robust hand based multimodal biometric system using ICA features, International Journal of Advanced Research in Computer Science 2018, Vol. 9, no. 3, pp. 105-109.
4. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Robust Analysis of Multimodal Biometric Verification System Under Various Spatial Noise Conditions, International Journal of Computer Sciences and Engineering 2018, Vol. 6, no. 11, pp. 579-590.

PUBLICATION-CONFERENCE

1. H D Supreetha Gowda., G Hemantha Kumar. Feature level fusion of texture based methods: A comparative study. International Conference on Communication and Computing (ICC) 2015, McGraw Hill Education, pp. 340-346.
2. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Combination of physiological and behavioral modalities based on score level fusion. Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2017, IEEE, pp. 1-5.
3. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Robust multimodal biometric verification system based on face and fingerprint. International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2017, IEEE, pp. 243-247.
4. H D Supreetha Gowda., G Hemantha Kumar. Evaluation of Texture Features for Biometric Verification System Using Handvein and Finger Knuckleprint. Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2017, Springer – CCIS, vol. 709, pp. 420-428.
5. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. M. Robust Multimodal Handvein and Palmprint Based Verification System in the Presence of Salt and Pepper Noise. International Conference on Current Trends towards Converging Technologies (ICCTCT) 2018, IEEE, pp. 1-4.
6. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Feature level fusion of Face and Iris using Deep Features based on Convolutional Neural Networks. International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2018, IEEE, pp. 116-119.
7. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Multimodal Biometric Recognition System Based on Nonparametric Classifiers, Data Analytics and Learning. Lecture Notes in Networks and Systems 2018, Springer, Singapore, vol. 43, pp. 269-278.
8. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Ensemble Based Learning with Stacking, Boosting and Bagging for Unimodal Biometric Identification System. 12th International Conference on Recent Trends in Engineering and Technology 2017, pp. 30-36.
9. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Evaluation of Subspace and Kernel based Features for Biometric Verification System Using Handvein and Finger Knuckleprint. 105th The Indian Science Congress Association (ISCA).
10. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Biometric verification system based on Density and classifier based score level fusion, International Conference on Smart Systems and Inventive Technology (ICSSIT) 2018, IEEE. pp. 1-4.
11. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Multimodal biometric verification system: Evaluation of various score level fusion rules. International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2019, IEEE. pp 1-4.
12. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Performance Analysis of Log-Gabor based Multimodal Systems and its Fusion Techniques. Recent Trends in Image Processing and Pattern Recognition. (RTIP2R) 2018, Communications in Computer and Information Science (CCIS), vol.1035, Springer, Singapore, pp 240-254.
13. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Multispectral palmprint biometric verification system using deep CNN. Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, vol.1036, Springer, Singapore, pp 505-513.
14. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Robust deep CNN architecture for person verification system using multimodal biometric approaches. 107th The Indian Science Congress Association (ISCA) 2020.
15. Harbi Al Mahafzah, Mohammad Imran, and Supreetha Gowda H. D. Parametric classification of handvein patterns based on texture features. AIP Conference Proceedings 1952, 020057 (2018). Pp (020057-1 to 020057-8).
16. Received Best Oral Presentation award for the presentation on “Extensive analysis of Deep CNN based Multispectral Palmprint Verification System on all Fusion Levels.”, AI Summit 2023 Towards Smart Sustainable Society [AISSS2023], Springer.