Arti Jha

Arti Jha is an academic and researcher working at the intersection of systems, data, and intelligent decision-making, with expertise ranging from Linux internals to large-scale AI-driven optimization systems.

Her research focuses on building trustworthy, scalable, and explainable AI solutions that integrate systems thinking with applied artificial intelligence.

She is passionate about developing students’ analytical depth, technical confidence, and real-world problem-solving capabilities.

At UPES Dehradun, Arti Jha teaches Linux and Open-Source Systems with a focus on building strong systems intuition and practical understanding.

She has previously worked as a Teaching Assistant and co-instructor at BITS Pilani and as a Senior Research Fellow and Research Fellow in collaboration with CommerceIQ, contributing to AI-driven systems, predictive modeling, and optimization frameworks.

Details to be updated.

Generative AI, Large Language Models, Bayesian Deep Learning, Uncertainty Estimation, Explainable AI, Optimization, Sequential Decision-Making, Applied Machine Learning for Industry Systems.

Arti Jha emphasizes learning through reasoning, experimentation, and hands-on engagement to develop deep systems understanding.

She promotes a debug-first mindset, encouraging students to analyze problems, interpret system behavior, and build confidence in solving real-world computing challenges.

Linux and Open-Source Systems, C Programming, Object-Oriented Programming, Database Systems, Data Warehousing, SQL, Systems Programming, Automation with Shell Scripting.

Arti Jha has published research in reputed venues such as IEEE Access, Engineering Applications of Artificial Intelligence (Elsevier), Procedia Computer Science, and Springer Nature.

Her work spans Bayesian Deep Learning, explainable AI, attention mechanisms, and optimization techniques for large-scale systems.

She has contributed to enterprise AI solutions including recommendation systems, targeting optimization, and transparent decision-making frameworks.

To be updated