Dr. Shahin Ansari

Dr. Shahin Ansari

Assistant Professor – Selection Scale

Profile Summary

Dr. Shahin Ansari is a researcher in applied mathematics and quantitative analytics, with expertise in stochastic systems and their applications to real-world problems. She holds a PhD from IIT Mandi, with research spanning stochastic differential equations, control theory, switched systems, and infinite-dimensional systems. 

Her work is published in SCI-indexed journals and presented at national and international conferences. More recently, her research has extended to financial mathematics and machine learning, focusing on stock price behaviour and data-driven modelling. She brings a strong quantitative and analytical perspective to business and finance education.

Work Experience

Before joining UPES, Dr. Ansari served as a Teaching Assistant at IIT Mandi, contributing to postgraduate and engineering courses. 

She has also been actively involved in academic service, including conference organisation (ICDECP-2023) and peer review for journals published by Elsevier, Springer, and Wiley.

Research Interests

Stochastic differential equations; financial mathematics; machine learning; approximation methods; control theory; switched systems.

Teaching Philosophy

Dr. Ansari emphasises conceptual clarity and research-led learning, integrating foundational theory with recent developments in the field. 

Her approach includes problem-solving, presentations, and continuous assessment through assignments and quizzes, helping students build analytical and communication skills alongside subject expertise.

Courses Taught

Postgraduate: Linear Algebra; Numerical Analysis; Research Projects. Undergraduate: Differential and Integral Equations; Complex Analysis.

 

Awards and Grants

Recipient of International Travel Grant (₹1,00,000) for AIMS Conference 2024 (Abu Dhabi). Awarded MANF (NMDFC) PhD Fellowship (2021–2025). Secured All India Rank 81 in CSIR-UGC NET (2019). Recipient of INSPIRE Scholarship (SHE) for higher education.

Scholarly Activities

Dr. Ansari actively engages in research at the intersection of mathematics, finance, and machine learning. Her work focuses on extending theoretical frameworks to business and financial applications, including market behaviour and predictive modelling. 

She aims to publish in leading journals, contribute to academic collaborations, and organise conferences and workshops that advance interdisciplinary research in quantitative and data-driven domains.