Education
Ph.D. in Computer Science & Engineering
Jawaharlal Nehru Technological University, Kakinada (in collaboration with Tennessee Technological University, USA)
Thesis: Novel Graph-Based Optimization Approaches for Finding Interesting Substructures in Heterogeneous Networks
My doctoral research advanced graph-based knowledge discovery, with contributions including:
Introduced the MDL (Minimum Description Length) metric for evaluating and matching substructures in graph datasets.
Proposed a novel graph-based anomaly detection approach, improving classification accuracy across domains including healthcare, finance, and network security.
Developed CRADLE-MDL and CRADLE-Size, along with domain-independent pattern-mining rules ("netting," "slackness"), extending graph mining techniques.
Applied conceptual graphs and MapReduce to educational data mining, including automated skill-set extraction from resumes — early work that foreshadowed today's LLM-based feature extraction methods I now build in industry.
This research directly underpins my current industry work in explainable AI, anomaly detection, and graph-based recommendation systems.
M.Tech. in Computer Science & Engineering — Acharya Nagarjuna University
B.Tech. in Computer Science & Engineering — JNTU Kakinada
Awards
Bharat Education Excellence Award 2024 — Selected among the top 300 profiles nationally (from over 8,000 nominations) for outstanding contributions to education, evaluated on impact, innovation, and leadership.
Best Faculty Award, 2010 — QIS Institute of Technology, Ongole, in recognition of excellence in teaching.