Education Qualifications

• Ph.D. (2021) - Department of Information Technology, National Institute of Technology Karnataka, Surathkal.

• M.Tech. (2013) - Department of Computer Science & Engineering, IIIT Hyderabad.

• Qualified Graduate Aptitude Test in Engineering (GATE) in 2011 -- 98.11 Percentile

• B.Tech. (2005) - Department of Computer Science & Engineering, Visvesvaraya Technological University, Belgaum.

Experience

• Aug 2021 to till-date working as Assistant Professor in Department of CSE, National Institute Technology Puducherry (NITPY), Karaikal.

• July 2014 - Dec 2014 worked as Assistant Professor in CSE Department, Manipal Institute of Technology, Manipal.

• Jan 2014 - July 2014 worked as Senior Solution Consultant at eVerge Software & Technology Services Pvt Ltd., Bangalore.

• Aug 2013 - Dec 2013 worked as Team Lead at PrimusGlobal Ltd., Bangalore.

• Nov 2009 - July 2011 worked as Team Lead at Accenture India Ltd., Bangalore.

• Oct 2007 - Nov 2009 worked as Senior Software Engineer at Birlasoft India Ltd., Bangalore.

• July 2005 - Oct 2007 worked as Associate Software Engineer at Tech Mahindra Ltd., Pune.

Areas of Interest

• Algorithms, Machine Learning, Deep Learning, Bioinformatics, Health Informatics, Quantum Machine Learning

Academic Contributions

Courses Taught at UG/PG Level:

• Functional Programming Languages

• Graph Theory

• Programming Fundamentals

• Programming Paradigms

• Python Programming

• Object Oriented Programming using JAVA 

• Deep Learning

Research Contributions

Total Publications in international Journal : 06

Total Publications in Book Chapters : 02

Total Publications in International Conferences : 03

Ph.D. Works are available online: https://nitkit-vgst727-nppsa.nitk.ac.in/

List of the Research Publications:

International Journals:

1. Sanjay Bankapur and Nagamma Patil, “ProgSIO-MSA: Progressive based Single Iterative Optimization Framework for Multiple Sequence Alignment using an Effective Scoring System”. Journal of Bioinformatics and Computational Biology, World Scientific, vol. 18, pp. 2050005, 2020. [SCIE & Scopus, IF: 1.03]. Doi: https://doi.org/10.1142/S0219720020500055

2. Prince Kumar, Sanjay Bankapur and Nagamma Patil, “An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features”. Applied Soft Computing, Elsevier, vol. 86, pp.105926, 2020. [SCIE & Scopus, IF: 8.7]. Doi: https://doi.org/10.1016/j.asoc.2019.105926

3. Sanjay Bankapur and Nagamma Patil, “Enhanced Protein Structural Class Prediction using Effective Feature Modeling and Ensemble of Classifiers”. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 6, pp. 2409-2419, 2021. [SCIE & Scopus, IF: 4.5]. Doi: https://doi.org/10.1109/TCBB.2020.2979430

4. Sanjay Bankapur and Nagamma Patil, “An Enhanced Protein Fold Recognition for Low Similarity Datasets using Convolutional and Skip-Gram Features with Deep Neural Network”. IEEE Transactions on NanoBioscience, vol. 20, no. 1, pp. 42-49, 2021. [SCIE & Scopus, IF: 3.9]. Doi: https://doi.org/10.1109/TNB.2020.3022456

5. Sanjay Bankapur and Nagamma Patil, “An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-grams of Evolutionary Profiles using Deep Neural Network”. IEEE/ACM Transactions on Computational Biology and Bioinformatics, (In Press, 2020). [SCIE & Scopus, IF: 4.5]. Doi: https://doi.org/10.1109/TCBB.2020.3037465

6. Aditya Jayasimha, Rahul Mudambi, P. Pavan, B. M. Lokaksha, Sanjay Bankapur, and Nagamma Patil, “An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction”. Network Modeling Analysis in Health Informatics and Bioinformatics, Springer, vol. 10, no. 1, pp. 1-12, 2021. [Scopus & ESCI, IF: 2.3]. Doi: https://doi.org/10.1007/s13721-021-00340-4

Book Chapters:

1. Sanjay Bankapur and Nagamma Patil, “Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System”. In: Shankar B., Ghosh K., Mandal D., Ray S., Zhang D., Pal S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2017. Lecture Notes in Computer Science book series (LNCS, volume 10597). Springer, Cham. [Scopus]. Doi: https://doi.org/10.1007/978-3-319-69900-4_50

2. Karthik K., Gokul S. Krishnan, Shashank Shetty, Sanjay S. Bankapur, Ranjit P. Kolkar, T. S. Ashwin, and Manjunath K. Vanahalli, “Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning Techniques”. In: Bhateja V., Peng SL., Satapathy S.C., Zhang YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing book series (AISC, volume 1176). Springer, Singapore. [Scopus]. Doi: https://doi.org/10.1007/978-981-15-5788-0_43

International Conferences:

1. Sanjay Bankapur and Nagamma Patil, “Position-Residue Specific Dynamic Gap Penalty Scoring Strategy for Multiple Sequence Alignment”. In Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics (CSBio '17). Nha Trang, Vietnam, Dec 2017 (pp. 42-45). ACM. [Scopus]. Doi: https://doi.org/10.1145/3156346.3156354s

2. Sanjay Bankapur and Nagamma Patil, “Protein Secondary Structural Class Prediction Using Effective Feature Modeling and Machine Learning Techniques”. In 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE). Taichung, Taiwan. Oct 2018 (pp. 18-21). IEEE. (CORE C) [Scopus]. Doi:  https://doi.org/10.1109/BIBE.2018.00012

3. Essmily Simon and Sanjay Bankapur, “A machine learning based study for the prediction of drug-target interaction using protein and drug molecule descriptors”. AIP Conference Proceedings. Vol. 2917. No. 1. AIP Publishing, 2023. [Scopus]. Doi: https://doi.org/10.1063/5.0175608