CSIR-Indian Institute of Chemical Biology - India
PROFESSIONAL PROFILES
SCOPUS
GOOGLE SCHOLAR
Early Academic Pursuits
Subhrangshu Das's academic journey began with a strong foundation in science during his Higher Secondary Examination at Agarpara Mahajati Vidyapith, West Bengal, where he excelled in subjects like Physics, Chemistry, Mathematics, and Statistics. He then pursued a Bachelor of Technology (B.Tech.) in Computer Science & Engineering from Narula Institute of Technology, graduating with first-class honors in 2012. His quest for knowledge led him to Jadavpur University, where he earned a Master of Engineering (M.E.) in Computer Science & Engineering in 2014, also with first-class honors. His academic pursuits culminated in submitting his Ph.D. thesis in Structural Biology and Bioinformatics at the University of Calcutta in 2022, showcasing his interdisciplinary approach to combining computer science with biological research.
Professional Endeavors
Subhrangshu Das's professional career is marked by significant roles at the CSIR-Indian Institute of Chemical Biology. He began as a Junior Research Fellow in August 2022, progressing to a Senior Research Fellow by November 2015. His dedication and expertise earned him the position of Research Associate in August 2022. Throughout these roles, he has been involved in critical research projects that bridge computer science and bioinformatics, demonstrating his ability to apply computational techniques to biological problems.
Contributions and Research Focus On Bioinformatics
Subhrangshu Das has made substantial contributions to the fields of structural biology and bioinformatics. His research primarily focuses on image processing, machine learning, and data science, applied to medical and biological problems. Notable projects include developing an algorithm for detecting Alzheimer's disease from brain MRI using image processing and machine learning techniques, and quantifying and categorizing strokes from brain CT scan images. His work on the classification and prediction of protein-protein interaction interfaces using machine learning algorithms has been published in reputable journals, Bioinformatics highlighting his innovative approach to computational biology.
Accolades and Recognition
Throughout his career, Subhrangshu Das has received numerous accolades and recognition for his academic and research excellence. He qualified for the GATE examination twice, in 2011 and 2012, and achieved a commendable All India Rank. He also qualified for the CSIR NET in December 2014, securing an impressive rank of 92. His achievements have been further recognized through scholarships from UGC and CSIR, Bioinformatics supporting his studies and research endeavors. These accolades underscore his commitment to academic excellence and research innovation.
Impact and Influence
Subhrangshu Das's work has had a significant impact on both the academic and research communities. His contributions to Alzheimer's disease detection and stroke quantification have the potential to influence medical diagnostics and patient care. His mentorship and collaboration with peers and students have helped foster a new generation of researchers in the fields of computer science and bioinformatics. His published works and conference presentations have disseminated his research findings to a broader audience, Bioinformatics influencing ongoing studies and sparking new research ideas.
Legacy and Future Contributions
Looking ahead, Subhrangshu Das's legacy in interdisciplinary research is poised to inspire future innovations in bioinformatics and structural biology. His ongoing projects, such as the development of web servers for Alzheimer's disease detection and protein complex prediction, demonstrate his commitment to advancing scientific knowledge and practical applications. As he continues to explore new frontiers in research, Bioinformatics his contributions are expected to have a lasting impact on the scientific community, paving the way for future discoveries and technological advancements.
NOTABLE PUBLICATIONS