Dr. Surnam Narendra — Academic Portfolio

Hi, I'm Surnam Narendra — Researcher & Educator

Currently working as an assistant professor in the department of Mathematics at Woxsen University. My research specialises in statistics, focusing on stochastic modelling, Markov models, and their applications. I am passionate about advancing knowledge through research and education. My academic journey has honed my expertise in areas such as Hidden Markov Models and reinforcement learning, with applications to healthcare analytics, time-series modelling, and data-driven decision-making. My commitment to teaching excellence and my ability to simplify complex statistical concepts, equip me to inspire and guide students effectively. Additionally, my experience in data analysis makes me well-suited for industry-oriented roles as a Data Scientist, where I can apply statistical methodologies to solve real-world problems."

Statistics Data Analytics Biostatistics Machine Learning Health Analytics Python • R

Educational Qualifications

Ph.D. in Statistics — Pondicherry University

Dec 2021 – Feb 2025 · Thesis: Multi-Level Hidden Markov Models and its Applications in Diabetes Studies · Advisor: Prof. Tirupathi Rao Padi

M.Sc. in Statistics — Central University of Punjab

2019 – 2021 · CGPA:6.69/10

B.Sc. in Mathematics Statistics and Computer Science — SGS Arts College, SV University

2016 – 2019 · First Class with Distinction

Present Status

Research Focus

Layered Hidden Markov Models; Computational Biology; Stochastic Processes; Biostatistics; uncertainty quantification.

Appointments

Researcher, Dept. of Mathematics, Woxsen University — Jul- 2025–Present
Teaching Assistant, Fundamentals of Machine Learning — jul-2025–Present
Teaching Assistant, Data Analytics using Excel and Power BI — jul-2025–Present

Research Publications

Two-layered hidden Markov model for studying type 2 diabetes

Tirupathi Rao Padi and Surnam Narendra International Journal of System Assurance Engineering and Management . https://doi.org/10.1007/s13198-024-02491-9