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- Dr. Kishankumar Bhimani
Brijmohan Lal Sahu
Assistant Professor – Senior Scale
Profile Summary
Dr. Kishankumar Bhimani is an Assistant Professor in the School of Computer Science with expertise in teaching, applied research, and data-driven innovation.
He completed his Ph.D. in Computer and Information Science from HSE University, Moscow, focusing on algorithm development, large-scale analytics, and computational mass spectrometry.
His research integrates statistical modeling, bioinformatics, machine learning, and data science for applications in healthcare and complex biological datasets.
Work Experience
Dr. Bhimani has worked as a Research Assistant at HSE University, contributing to advanced algorithm development and bioinformatics research.
He has also served as an Assistant Professor at Marwadi University and worked in industry roles involving data analytics, dashboards, and international business operations.
Educational Qualification
Ph.D. in Computer and Information Science, Higher School of Economics (HSE University), Moscow.
Research Interests
Machine Learning, Deep Learning, Data Science, Bioinformatics, Statistical Modeling, Mass Spectrometry, Computational Biology, Data Visualization, AI in Healthcare.
Teaching Philosophy
Dr. Bhimani believes in building strong fundamentals, curiosity, and analytical thinking through hands-on and application-based learning.
He emphasizes real-world problem-solving, data exploration, and deep conceptual understanding to prepare students for research and industry challenges.
Courses Taught
Machine Learning, Python Programming, Data Visualization and Analytics, Tableau, Artificial Intelligence, Data Science, Research Methodology, Scientific Computing.
Awards and Achievements
Recipient of multiple scholarships including Young Academic Professional Grant, Scientific Activity Scholarship, and Young Entrepreneur Award from HSE University.
Winner of the Open Door Scholarship in Computer Science, Data Science, and Engineering domains and recipient of the VIT University SAP Travel Grant.
Scholarly Activities
Dr. Bhimani has conducted extensive research in computational mass spectrometry, algorithm development, and bioinformatics for cancer-related datasets.
He has contributed to projects such as the Crux Toolkit, improving peptide-spectrum matching accuracy using statistical and machine learning techniques.
He collaborates with international researchers and mentors students in data-driven projects, focusing on predictive analytics and visualization of large datasets.
