Dr. Sajanraj T D

Software & Data Science Engineer (KTP Associate) • Bridging AI Research and Industrial Transport Analytics

Sajanraj T D

Dr. Sajanraj T D is a Software and Data Science Engineer and a Knowledge Transfer Partnership (KTP) Associate working on a UK Research and Innovation (UKRI) funded project. He bridges academia and industry, applying research in AI and Machine Learning to real-world transport analytics problems.

UKRI KTP Associate
PhD CSE (Data Science)
3+ Academic Degrees
PhD M.Tech B.Tech

Academic Background

AWARDED AUG 2024

Doctor of Philosophy (PhD) in CSE

Christ (Deemed to be University). Improved metro rail operational pattern forecasts using deep learning.

2016 — 2018

Master of Technology (M.Tech) in CSE

VAST, APJ Abdul Kalam Technological University (KTU).

2012 — 2016

Bachelor of Technology (B.Tech) in CSE

College of Engineering Pathanapuram, CUSAT.

Professional Journey

FEB 2024 — PRESENT

Software and Data Science Engineer (KTP Associate)

Loughborough University & TrainFX Ltd. Developing passenger information analytics and ML-driven decision support for the UK rail industry. Building the bridge between academic research and industrial application.

JULY 2022 — DEC 2023

Assistant Professor and Research Associate

Rajagiri School of Engineering & Technology (RSET). HPC Server administration and NVIDIA Bright Computing Cluster management. Managed infrastructure for large-scale AI research and served as Project consultant for KMRL transport analytics.

FEB 2021 — JUNE 2022

Senior Research Fellow

DST Sponsored Project at Sunya Research Labs. Led predictive modeling and data analytics platform development for metro rail systems, focusing on real-time operational efficiency.

FEB 2019 — JAN 2021

Junior Research Fellow

Transport analytics and intelligent data platform development in collaboration with Kochi Metro Rail Limited and Jyothi Engineering College.

Research & Publications

SELECTED WORKS

Intelligent Transport Systems & AI

My research work focuses on operational pattern forecasting, outlier detection, and intelligent analytics platforms for metro and rail systems. With over 10+ published papers in indexed journals and conferences including IEEE and Springer Nature.

IEEE SPRINGER NATURE Q1 JOURNALS
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Technical Philosophy

I specialize in building the infrastructure for intelligence—connecting high-performance systems with state-of-the-art models.

Generative AI / LLMs HPC Cluster Admin Transport Analytics Cloud Infrastructure Big Data Engineering

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Always open to discussing research, collaborations, or large-scale data engineering projects.

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