PUBLISHED WORK

1. Common cancer biomarkers of breast and ovarian types identified through artificial intelligence, Shrikant Pawar, Tuck Onn Liew, Aditya Stanam, Chandrajit Lahiri, Wileys: Chemical Biology and Drug Design, 96(3):995-1004. doi: 10.1111/cbdd.13672. Epub 2020 May 15. PMID: 32410355.
 

2. 2024 Southeast Regional Clinical & Translational Science Conference, Atlanta, Identifying Diagnostic & Prognostic Biomarker Signatures in Lung Cancer, Yash Singh, Abhay Raheja, Mohit Sai, Karuna Mittal, & Shrikant Pawar. Github Poster 

3. Developing a DEVS-JAVA Model to Simulate and Pre-test Changes to Emergency Care Delivery in a Safe and Efficient Manner, Shrikant Pawar and Aditya Stanam, Springer: Lecture Notes in Computer Science,  vol 11466. Springer, Cham. https://doi.org/10.1007/978-3-030-17935-9_1.

4. Scalable, reliable and robust data mining infrastructures, Shrikant Pawar and Aditya Stanam, IEEE Fourth World Conference on Smart Trends in Systems, Security and Sustainability, 2020, pp. 123-125, doi: 10.1109/WorldS450073.2020.9210388.
 
5. A Six-Gene-Based Prognostic Model Predicts Survival in Head and Neck Squamous Cell Carcinoma Patients, Shrikant Pawar and Aditya Stanam, Springer: Journal of Maxillofacial and Oral Surgery, 2019 Jun;18(2):320-327. doi: 10.1007/s12663-019-01187-z. Epub 2019 Jan 24. PMID: 30996559; PMCID: PMC6441444.
 
6. Clustering Reveals Common Check-Point and Growth Factor Receptor Genes Expressed in Six Different Cancer Types, Shrikant Pawar and Aditya Stanam, Springer: Lecture Notes in Computer Science, vol 12108. Springer, Cham. https://doi.org/10.1007/978-3-030-45385-5_52.

7. Linear regression model for prediction of multi-dimensional time-point forecasting data, Shrikant Pawar and Aditya Stanam, ITISE, I.S.B.N: 978-84-17970-78-9, Legal Deposit: Gr 1209-2019
 
8. Stochastic dimension reduction techniques for time-point forecasting data, Shrikant Pawar and Aditya Stanam, ITISE, I.S.B.N: 978-84-17970-78-9, Legal Deposit: Gr 1209-2019
 
9. Evaluating the computing efficiencies (specificity and sensitivity) of graphics processing unit (GPU)-accelerated DNA sequence alignment tools against central processing unit (CPU) alignment tool, Shrikant Pawar, Aditya Stanam and Ying Zhu, Journal of Bioinformatics and Sequence Analysis, 9(2), 10-14.
 
10. Predicting the prognosis for cancer patients with interleukins gene expression level, Aditya Stanam, and Shrikant Pawar, AACR: Cancer Research, Print ISSN 0008-5472, Online ISSN 1538-7445, DOI: https://doi.org/10.1158/1538-7445.AM2019-4247.

11. Software effort prediction with algorithm-based frameworks, Shrikant Pawar and Aditya Stanam, International Journal of Engineering and Computer Science, 7(09), 24206–24213. Retrieved from http://www.ijecs.in/index.php/ijecs/article/view/4174.

12. Machine learning for identification and characterization of molecular gene signatures in progression of benign tumors, Shrikant Pawar, Aditya Stanam, and Rushikesh Chopade, ACM Proceedings, 1-3, https://doi.org/10.1145/3469213.3469214

13. Techniques of time series modeling in complex systems, Shrikant Pawar and Aditya Stanam, Springer Lecture Notes in Networks and Systems, 978-981-16-2377-6, DOI: 10.1007/978-981-16-2377-6

14. Single shot detector application for image disease localization, Shrikant Pawar, Aditya Stanam, Rushikesh Chopade, bioRxiv 2021.09.21.461307; DOI: https://doi.org/10.1101/2021.09.21.461307 

15. Cyclical Learning Rates (CLR’s) for Improving Training Accuracies and Lowering Computational Cost. Rushikesh Chopade, Aditya Stanam, Anand Narayanan, Shrikant Pawar. Research Square. DOI:10.21203/rs.3.rs-1129014/v1

16. Neural Networks for Predicting Severity of Ovarian Carcinomas, Rushikesh Chopade, Aditya Stanam, Shrikant Pawar. Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 578. Springer, Singapore. https://doi.org/10.1007/978-981-19-7660-5_7