JIIT

Academic Experts

Dr. AMITA BHAGAT

ASSISTANT PROFESSOR (SR GRADE)

amita.bhagat@mail.jiit.ac.in

Biography

Dr. Amita Bhagat exemplifies academic excellence through her remarkable journey from distinguished student to accomplished educator and researcher. With over a decade of post-doctoral expertise in applied mathematics, she brings both scholarly rigor and pedagogical passion to her role at Jaypee Institute of Information Technology.

Her academic trajectory showcases consistent achievement: graduating from C.C.S. University before earning her Ph.D. in Mathematics from the prestigious Indian Institute of Technology Roorkee in 2015, specializing in performance analysis of retrial queueing systems. As a GATE fellowship recipient during her doctoral studies, she demonstrated early promise that has flourished into substantial contributions to mathematical research.

Dr. Bhagat's professional experience includes serving as Assistant Professor at The North Cap University for over three years. Her research excellence has earned international recognition through prestigious travel grants from DST, INSA-CICS, and CSIR, enabling presentations at conferences in Amsterdam, Bali, and Taiwan.

In the classroom, she masterfully teaches Operations Research, Probability and Random Processes, Matrix Computations, and Engineering Mathematics. Her institutional commitment extends through active service on significant committees including the Alumni Cell and as Editorial member of the Department Newsletter, while contributing to digital learning initiatives.

Dr. Bhagat's dedication is reflected in numerous accolades, including best paper awards and academic gold medals. As a life member of professional bodies and reviewer for reputed journals, she continues advancing mathematical knowledge while nurturing future scholars through sustained commitment to research excellence, student guidance, and institutional development.

Research Highlights

Dr. Amita Bhagat's research journey lies at the fascinating intersection of applied probability and operations research, where she specializes in queueing theory and stochastic modelling. She finds herself drawn to the challenge of developing and analyzing complex queueing systems under practical constraints—those real-world complications like retrials, server breakdowns, working vacations, and finite capacity that make theoretical models truly useful. Through her work, Dr. Bhagat formulates mathematically rigorous models to understand service system dynamics, applying them across telecommunication networks, healthcare systems, and computational frameworks. A significant portion of her research investigates retrial queues with advanced features: multi-optional services, bulk arrivals, priority classes, and threshold-based recovery mechanisms that reflect the complexity of modern operations.

Methodologically, she employs diverse analytical techniques including continuous-time Markov chains, matrix-geometric methods, maximum entropy approaches, and transient analysis to evaluate system performance and derive meaningful performance indicators. This toolkit has enabled her to author over 25 research articles in peer-reviewed journals such as OPSEARCH, Applied Mathematics and Computation, and QTQM.

Her interdisciplinary interests have led her into wireless body area networks and mobile communication systems, where she develops mathematical models for performance analysis in mission-critical environments. The cross-pollination of ideas across these fields continues to inspire new research directions.

Beyond research, Dr. Bhagat is deeply committed to mentoring the next generation. She has successfully supervised one doctoral scholar and currently guiding more Ph.D. candidates, while having mentored seven M.Sc. and three B.Sc. students across topics ranging from fundamental queueing models to advanced wireless networks.

Her work has taken her to international conferences in the Netherlands, Indonesia, and Taiwan, supported by competitive government grants, where she has had the privilege of chairing sessions and engaging with the global research community.

Areas Of Interest

Queueing Theory & Stochastic Modelling - Performance analysis of complex queueing systems under practical constraints
Retrial Queueing Systems - Multi-optional services
bulk arrivals
priority classes
and threshold-based recovery mechanisms
Operations Research - Applied probability models for real-world service systems and optimization
Wireless Communication Networks - Mathematical modeling for body area networks and mobile communication systems
Matrix-Geometric Methods - Advanced analytical techniques including continuous-time Markov chains and transient analysis
Applied Mathematics - Pedagogy in probability theory
matrix computations
and engineering mathematics

Publications

Madhu Jain, Amita Bhagat and Chandra Shekhar (2014): Double Orbit Finite Retrial Queues with Priority and Unreliable Server, Applied Mathematics and Computation, Elsevier, Vol. 253, pp. 324-344.
Bhagat, A., Jain, M. (2020) “Retrial queue with multiple repairs, multiple services and non preemptive priority”. OPSEARCH 57, 787–814.
Madhu Jain and Amita Bhagat, (2016): Mx/G/1 Retrial Vacation Queue for Multioptional Services, Phase Repair and Reneging, Quantity Technology and Quantitative Management (QTQM), Vol. 13, No. 3, pp. 263-288.
Bhagat, A., Sethi, R. and Garg, D (2021) “Controlled Arrival Machine Repair Problem with Working Vacation and Reattempts”. International Journal of Mathematical, Engineering and Management Sciences, Vol. 6, No. 1, 279-295, 2021.
Fong-Fan Wang, Amita Bhagat, Tsan-Ming Chang (2016): Analysis of Priority multi server retrial queueing inventory systems with MAP arrivals and exponential services, OPSEARCH, Springer, Vol. 54, No. 1, pp. 44-66.