Dr. Mohammed Gulzar Ull Hasan

Assistant Professor - Senior Scale, Data Science

CURRENT ACADEMIC ROLE & RESPONSIBILITIES

    Dr. Md Gulzar ull Hasan is an Assistant Professor- Senior Scale at the Department of Data Science, Prasanna School of Public Health, MAHE, 必威体育betway888. He is a Coordinator of Statistics and Operations 必威体育betway888 Chapter of the Centre for Advanced 必威体育betway888 in Applied Mathematics and Statistics (CARAMS), MAHE, 必威体育betway888.

    He serves as the research supervisor for Ph.D. scholars and M.Sc. Data Science student term papers, and projects. He Has published several research papers in peer-reviewed SCI, ESCI, WoS, and SCOPUS-indexed journals.

SUBJECTS CURRENTLY TEACHING

Subject Semester / Year
Stochastic Processes Year 1 - Block 4
Deep Learning & Text Mining Year 1 - Block 6
Applied Data Analytics Year 2 - Block 7

ACADEMIC QUALIFICATIONS

Degree Specialisation Institute Year of passing
M.Phil. Some Applications of Stochastic Programming Department of Statistics & Operations 必威体育betway888, Aligarh Muslim University 2014
PhD “Some efficient estimation procedures for population mean in sample surveys” Indian Institute of Technology (Indian School of Mines) Dhanbad 2019

Experience

Institution / Organisation Designation Role Tenure
Prasanna School of Public Health, MAHE Assistant Professor - Senior Scale Dec 2021- Present
DMITS, Madanapalle, A.P. Assistant Professor Jan 2019 - Nov 2021
MITRC, Alwar, Raj. Assistant Professor July 2018-Jan 2019

AREAS OF INTEREST, EXPERTISE AND RESEARCH

Area of Interest

Multi-Criteria Decision-Making, Machine Learning, and their applications in business management and public health problems.

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Multi-Criteria Decision-Making, Machine Learning, and their applications in business management and public health problems.

Professional Affiliations & Contributions

Professional Affiliations & Contributions

  • Lifetime member of the Operational 必威体育betway888 Society of India.
  • Coordinator of Statistics & Operations 必威体育betway888 Chapter of Centre for Advanced 必威体育betway888 in Applied Mathematics and Statistics (CARAMS), MAHE, 必威体育betway888.