🧬 Research Focus
Research focuses on improving meaningful feature identification from high-dimensional data to support better clustering and analysis. Explores efficient techniques that balance accuracy and computational cost for complex datasets — particularly in bioinformatics and plant genomics. Evaluates different strategies using standard validation measures to enable more reliable data-driven insights.
Research Details
Thesis Title
Clustering of Real-Life Plant Genomic Sequences
Published Papers (3 SCI)
Enhancing K-means Clustering Performance with a Two-Stage Hybrid Preprocessing StrategyAbhishek Tripathi, Aruna Tiwari, Milind Ratnaparkhe, Narendra Chaudhari, Rajesh Dwivedi · Arabian Journal for Science and Engineering · 2025 · doi:10.1007/s13369-024-09878-7
Scalable Alignment-Free Feature Extraction Approach for Genome Data and Their Cluster AnalysisAbhishek Tripathi, Aruna Tiwari, Narendra S Chaudhari, Milind Ratnaparkhe, Neha Bharill, Preeti Jha, Rajesh Dwivedi · Multimedia Tools and Applications · Springer · 2025 · doi:10.1007/s11042-025-20864-5
Scalable Distributed Laplacian Score for Feature SelectionAbhishek Tripathi, Rajesh Dwivedi, Ashutosh Samantaray, Madhav Kadam, Aruna Tiwari, Narendra S Chaudhari, Milind Ratnaparkhe · ICONIP 2025 · Springer · doi:10.1007/978-981-96-6966-0_1
Genomic Sequence Clustering
Scalable alignment-free feature extraction and clustering for plant genome sequences at large scale.
Feature Selection
Distributed Laplacian Score and hybrid preprocessing strategies for high-dimensional data reduction.
Education
2022 – PRESENT
PhD – Computer Science & Engineering
IIT Indore · Roll No. 2201101002
2013 – 2015
M.Tech. (Communication and Information Technology)
NIT Srinagar
2006 – 2010
B.Tech – Computer Science & Engineering
UPTU (now AKTU)
Skills & Tools
Programming
PythonC / C++
Tools
Git / GitHubLaTeX
Achievements & Activities
3 SCI Journal Papers PublishedArabian Journal for Science and Engineering (Springer) · Multimedia Tools and Applications (Springer) · ICONIP 2025
ICONIP 2024 – Presenter, Auckland (Online)Presented research at the 31st International Conference on Neural Information Processing, Auckland, New Zealand.
GATE Qualified – 2013Graduate Aptitude Test in Engineering — Computer Science & Engineering.
IEEE Student MemberActive member of IEEE contributing to computational intelligence research.
Teaching Assistantship – Multiple CoursesDS&A (Prof. Narendra Chaudhari) · Machine Learning (Prof. Aruna Tiwari) · Computational Intelligence (Prof. Aruna Tiwari) · DBIS (Prof. Aruna Tiwari) · C++ Lab (Prof. Abhishek Srivastava)
Student MentoringMentored UG/PG students on K-means clustering improvements and scalable feature selection algorithms.
Contact
✉️
Institute Emailphd2201101002@iiti.ac.in
💻
GitHubgithub.com/A6hi5h3x