Saif Ali Khan

About

Saif Ali Khan is an Assistant Professor at Manipal Academy of Higher Education, Manipal. He is a dedicated statistician and researcher specialising in infectious disease modelling. He holds a Ph.D. in Statistics from BBAU, Lucknow, where his research focused on applying mathematical, statistical, and machine learning techniques to understand disease dynamics. His academic journey includes an M.Sc. and B.Sc. (Hons) in Statistics from Aligarh Muslim University, Aligarh, where he explored topics like image classification of skin lesions and the effectiveness of the Choice-Based Credit System.

With professional qualifications in GATE (Data Science & AI) and O Level (NIELIT), Saif has contributed to significant research projects, including a UPCST-funded study on COVID-19 spread modeling. His expertise spans epidemiological modeling, time series analysis, and predictive analytics, with proficiency in Python, SPSS, and data visualization tools.

Employment

• Manipal Academy of Higher Education Assistant Professor
  2025 - Present
• Babasaheb Bhimrao Ambedkar University Ph.D. Scholar & Research Assistant
  2023 - 2024

Education

• Babasaheb Bhimrao Ambedkar University Doctor of Philosophy
  2022 - 2025
• Aligarh Muslim University M.Sc. (Statistics)
  2018 - 2020
• Aligarh Muslim University B.Sc. (Hons.)
  2015 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Microwave-induced eustress in Datura innoxia: Integrated photosynthetic, oxidative, and cellular responses to a low-dose hormetic elicitor
  Biocatalysis and Agricultural Biotechnology 2026 DOI: 10.1016/j.bcab.2026.104207
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• A comparative state-wise assessment of dengue incidence and deaths in India using annual surveillance data
  Discover Public Health 2026 DOI: 10.1186/s12982-026-02396-x
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• Analyzing Global Threat of Lumpy Skin Disease Virus Infection: A Comparative Study of a Time Series Model and Machine Learning Models Across 10 High-Risk Countries
  Current Microbiology 2026 DOI: 10.1007/s00284-026-04982-3
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• Decoding socio-economic disparities in Uttar Pradesh: a spatio-temporal analysis using Wroclaw Taxonomy and K-means unsupervised machine learning clustering
  Mathematical Population Studies 2026 DOI: 10.1080/08898480.2025.2612641
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• Machine learning models for analysis and prediction of optimal egg production
  Quality and Quantity 2025 DOI: 10.1007/s11135-025-02309-1
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• Traditional and Machine Learning Models for Forecasting Apple Production and Cultivation Area
  Applied Fruit Science 2025 DOI: 10.1007/s10341-025-01639-6
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• Taking cues from Machine Learning, Compartmental and Time Series models for SARS-CoV-2 Omicron infection in Indian Provinces
  Spatial and Spatio-temporal Epidemiology 2024 DOI: 10.1016/j.sste.2024.100634
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• Modeling Global Monkeypox Infection Spread Data: A Comparative Study of Time Series Regression and Machine Learning Models
  Current Microbiology 2024 DOI: 10.1007/s00284-023-03531-6
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