Research Scholar, National Institute of Technology Karnataka, Surathkal, India
Madhusmita Das is a Ph.D. candidate at the Institute of Technology Karnataka, Surathkal, focusing on reliability assessment of safety-critical systems through advanced machine learning models and bio-optimization algorithms. With a solid foundation in data science, she excels in analyzing user behavior and engagement, translating insights into impactful business strategies and research outcomes.
Profile
Scopus
Strengths for the Award
Diverse Research Interests and Publications: Madhusmita Das has a broad range of research interests encompassing machine learning, bio-optimization algorithms, reliability analysis, and verification methods. Her work spans numerous relevant topics, including safety-critical systems, software defect prediction, and reliability assessment of drone systems. This wide-ranging expertise is evident in her substantial number of high-impact publications across various prestigious conferences and journals.
Impactful Contributions: Her research on “Hybrid Bio-Optimized Algorithms for Hyperparameter Tuning in Machine Learning Models” and other related works demonstrates her ability to apply complex algorithms to practical problems, making significant contributions to the field of machine learning and system reliability.
Recognition and Awards: The provisional selection for the “Best Researcher Award” for her work in hybrid bio-optimized algorithms reflects her recognition in the academic community. Her technical paper presentation at state levels and qualified GATE also underscore her expertise and commitment to her field.
Extensive Experience and Skills: Madhusmita’s background in programming, big data technologies, machine learning, and data visualization tools is robust. Her skills in managing research from inception to publication further demonstrate her comprehensive approach and capability.
Areas for Improvement
Research Diversity and Novelty: While her research is extensive, focusing on a few emerging or less explored areas could enhance the novelty of her contributions. This might involve delving into cutting-edge topics like quantum computing applications in machine learning or the integration of AI with emerging technologies.
Broader Impact and Collaboration: Strengthening collaborations with other researchers or institutions could broaden the impact of her work. Collaborations can lead to interdisciplinary research opportunities, potentially increasing the scope and application of her findings.
Public Engagement: Expanding efforts to disseminate research findings to non-specialist audiences or through popular science platforms could enhance the visibility and impact of her work. Engaging in public lectures, webinars, or media could further her influence.
Education ๐
Madhusmita is pursuing her Ph.D. in Computer Science/Information Technology at the Institute of Technology Karnataka, Surathkal (2019-Present), with a CGPA of 8.67. Her research covers topics such as verification & validation, reliability analysis, and bio-optimization algorithms. She completed her M.Tech. with honors from NIT Raipur in 2012 and her B.Tech. from SOA University, Bhubaneswar, in 2008.
Experience ๐ผ
Madhusmita has served as an Assistant Professor at MVJ College of Engineering, Bangalore (Nov 2013 – Nov 2016), and Sanjeevani College of Engineering, Pune (Jul 2012 – Nov 2013). Her work spans teaching, research, and project mentoring, contributing significantly to the academic and research communities.
Research Interests ๐ฌ
Her research interests include verification and validation methods, formal techniques, risk analysis, system reliability, and software defect prediction. She is also passionate about machine learning and computational intelligence, focusing on bio-optimization algorithms and optimization techniques.
Awards ๐
Madhusmita was provisionally selected for the “Best Researcher Award” for her work on hybrid bio-optimized algorithms in machine learning, set to be awarded in 2024. She also earned recognition for her state-level presentation on AI in 2011 and qualified GATE in 2010.
Publications Top Notes๐
Hybrid Bio-Optimized Algorithms for Hyperparameter Tuning in Machine Learning Models: A Software Defect Prediction Case Study, Mathematics, 2024, MDPI.
Formal Specification and Verification of Drone System using TLA+: A Case Study, 2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2022, pp. 156-161.
Reliability Assessment of a Drone Communication System using Truncated Markov Analysis, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, pp. 1-6.
Fault Tree Analysis: A Review on Analysis, Simulation Tools, and Reliability Dataset for Safety-critical Systems, International Conference on Mining for a Greener Future: Technological developments and Sustainable Practices (ICMFGF 2024), 2024, NITK Surathkal, India.
Safety Assessment of Railway Crossing Junction Via Petri Nets, 5th International Conference on Innovative Trends In Information Technology ICITIIT’24, 2024, IIIT Kottayam, India, pp. 1-8.
Conclusion
Madhusmita Das is a strong candidate for the Best Researcher Award due to her significant contributions to machine learning, data science, and system reliability. Her extensive publication record, impactful research, and recognized achievements highlight her as a leading figure in her field. Addressing areas for improvement, such as exploring novel research avenues and enhancing public engagement, could further strengthen her candidacy and broaden the impact of her work.