Debanjan Bhattacharjee

Faculty Member

Debanjan Bhattacharjee


Dr. Debanjan Bhattacharjee is with Utah Valley University since 2011. He grew up in the city of Kolkata in India. Later on he came to the United States for doctoral studies in Statistics at the University of Connecticut. Dr. Bhattacharjee teaches statistics-courses in all areas and levels. His active area of research comprise Statistical Inference and Sequential Analysis. Debanjan also collaborates in interdisciplinary research with faculty and undergraduate students of biology and other disciplines. He remains engaged with publishing research articles and presenting in national and international conferences throughout the year. Debanjan also teaches Mathematics at UVU and is particularly fond of Calculus, Real-Analysis, Linear algebra and Mathematical-Statistics. He is extremely passionate about teaching Mathematics and Statistics and loves to interact with students and colleagues.

Debanjan is also a musician. He plays Indian classical instrument Tabla and remains busy with taking regular lessons, performing, teaching and lecture demonstration on this form of art.


Ph D, University of Connecticut, 2011

Major: Statistics

MS, University of Calcutta, 2006

Major: Statistics

BS, University of Calcutta, 2004

Major: Statistics


MATH 1210

Calculus I QL, Spring 2024


Math Leap, Spring 2024

STAT 4300

Stochastic Processes, Spring 2024

STAT 6020

Theory of Statistics II, Spring 2024


Bhattacharjee, Debanjan , Departmental Seminar-invited, "Estimation of Finite Population Size", RKMRC Narendrapur, Kolkata, India. (July 19, 2023)
Bhattacharjee, Debanjan , Departmental seminar-invited, "Overview of Recent Developments in Estimation of Finite Population Size", Department of Computer Science, Federal University of Ouro Preto. (June 21, 2023)
Bhattacharjee, Debanjan , UVU Colloquium, "Estimation of Finite Population Size by Sequential Sampling Methods", UVU. (September 16, 2022)
Bhattacharjee, Debanjan (Presenter & Author), The 5th International Conference on Econometrics and Statistics (EcoSta 2022), "An adaptive Monte Carlo method to estimate confidence interval for population sizes under mark-recapture-mark sampling", Computational and Methodological Statistics, Tokyo, Japan. (June 6, 2022)
Bhattacharjee, Debanjan (Presenter & Author), Brazilian Conference The XVII School Regression Models, "Adaptive Monte Carlo procedure to Estimate Confidence Interval for Population sizes under Mark-Recapture-Mark Sampling with Application ", Online. ()
Bhattacharjee, Debanjan , UPSTAT Upstate New York Statistics Conference, "Estimation of Finite Population Size by Sequential Sampling Methods", Online. ()

Scholarly/Creative Works

Silva, Ivair , Bhattacharjee, Debanjan , Zhuang, Yan , (2023) "Fixed-length interval estimation of population sizes_ sequential adaptive Monte Carlo mark–recapture–mark sampling" . Computational and Applied Mathematics.
Silva, Ivair R, Zhuang, Yan , Bhattacharjee, Debanjan , Almeida, Igor , (2023) "Regression Model for the Reported Infected during Emerging Pandemics under the Stochastic SEIR" . Computational and Applied Mathematics.
Zhuang, Yan , Bhattacharjee, Debanjan , (2021) "Minimum risk point estimation of the size of a finite population under mark-recapture strategy" (Issue: 2, vol. 40). SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS.
Silva, Ivair R., Bhattacharjee, Debanjan , Mukhopadhyay, Nitis , (2021) "Numerical versus asymptotic sequential interval estimation of population sizes" (vol. 398). JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS.
Bhattacharjee, Debanjan , Zhuang, Yan , (2020) "An Adaptive Technique for Estimating Traffic Intensities for a Network in Random Markovian Routing" (vol. 19). WSEAS TRANSACTIONS ON MATHEMATICS.
Fariba, Mahnaz , Sami, Abdullah , Bhattacharjee, Debanjan , Saha, Sajal , Bachar, Sitesh , Uddin, M , Kuddus, Ruhul , (2018) "Change in Antibiotic Susceptibility Pattern of Clinical Bacterial Isolates from Two Hospitals in Dhaka, Bangladesh over a Period of Three Years" (Issue: 6, vol. 22). Microbiology Research Journal International.