Rahul Bhagawati

A dedicated researcher with a focus on medical imaging and machine learning. Results-oriented, with a passion for continuous learning and innovation. Known for leveraging analytical thinking and creativity to solve problems and deliver high-impact solutions.

• "Star of the Batch" awarded by RCPL India, HP education services (BE 6th semester training), 2015.
• Troop Commander, Diamond Jubilee of Assam Engineering College, 2015.
• Training and Placement Coordinator, Dept of Computer Sc. and Engineering., Assam Engineering College, 2015-16.

• PHP with WordPress (Hewlett Packard Education Services, Kolkata): 6th semester training in B.E: July 2015
• Development of dummy website titled ‘Alumni Association Website’: B.E. Dissertation: Aug 2015- May 2016
• Advanced Bioinformatics, Next Generation Sequencing (NGS) - RNASeq Data Analysis, and Microarray: ArrayGen Technologies Pvt Ltd, Pune: Dec 2019
• Detection of Pneumonia from DICOM images using Neural Networks and Transfer learning: M.Tech dissertation: July 2018- May 2019

• R. Bhagawati, S. Hazarika, C. N. Gupta, and S. Chanda, “Precise volumetric quantification of blood (hematoma) in deformable solids/organs: preliminary results based on a proof-of-concept scheme”, Proceedings of International Conference on Electrical, Computer and Energy Technologies (ICECET), Dec. 2021. IEEE , : 10.1109/icecet52533.2021.9698475
• R. Bhagawati, S. Chanda, C. N. Gupta and S. Hazarika, "Experimental results from a proof-of-concept method for accurate volumetric estimation of hematoma in asymmetrically formed objects comprising solid materials as impediments.," 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2023, pp. 1-6, : 10.1109/SPIN57001.2023.10116436

• R. Bhagawati, S. Hazarika, C. N. Gupta, and S. Chanda, “Hemoperitoneum Quantification in Non-contrast CT: Evaluating Feasibility with the Novel HUVAO Segmentation Algorithm,” Journal of Gastrointestinal and Abdominal Radiology, Jan. 2024, : 10.1055/s-0043-1778672
• “Machine Learning in Medical Imaging: A Comprehensive Study on Hemoperitoneum Detection in Non-Contrast CT Scans”: (Manuscript Under Construction)