Research output per year
Research output per year
Personal profile
Research
My research interests are statistical machine learning, directional statistics, non-parametric modeling, and Bayesian statistics. I am also interested in researching the sustainable development of AI systems by increasing transdisciplinary knowledge about complex systems. In my past research projects, I collaborated with Biologists, Medical Physicians, Epidemiologists, Physicists, and Computer Scientists to translate their needs in the development work to explore and visualize complex relationships between different data sources.
I received my Ph.D. in 2015 from Shahid Beheshti University, Tehran, Iran and was a tenure-track assistant professor of Statistics at Persian Gulf University and Shiraz University between 2015 to 2019.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Free keywords
- Statistical Machine Learning
- Directional Statistics
- Bayesian Inference
- Non-parametric Modeling
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling
Maadooliat, M., Zhou, L., Najibi, S. M., Gao, X. & Huang, J. Z., 2016 Jan 2, In: Journal of the American Statistical Association. 111, 513, p. 43-56 14 p.Research output: Contribution to journal › Article › peer-review
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Assembly of Capsids from Hepatitis B Virus Core Protein Progresses through Highly Populated Intermediates in the Presence and Absence of RNA
Oliver, R. C., Potrzebowski, W., Najibi, S. M., Nors Pedersen, M., Arleth, L., Mahmoudi, N. & André, I., 2020 Aug 25, In: ACS Nano. 14, 8, p. 10226-10238 13 p.Research output: Contribution to journal › Article › peer-review
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Functional singular spectrum analysis
Haghbin, H., Najibi, S. M., Mahmoudvand, R., Trinka, J. & Maadooliat, M., 2021, In: Stat. 10, 1, 15 p., e330.Research output: Contribution to journal › Article › peer-review
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Protein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions
Najibi, S. M., Maadooliat, M., Zhou, L., Huang, J. Z. & Gao, X., 2017, In: Computational and Structural Biotechnology Journal. 15, p. 243-254 12 p.Research output: Contribution to journal › Article › peer-review
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Bayesian alignment of proteins via Delaunay tetrahedralization
Najibi, S. M., Faghihi, M. R., Golalizadeh, M. & Arab, S. S., 2015 May 4, In: Journal of Applied Statistics. 42, 5, p. 1064-1079 16 p.Research output: Contribution to journal › Article › peer-review
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Joint Statistical Meeting 2021
Najibi, M. (Presenter)
2021 Aug 11Activity: Participating in or organising an event › Participation in conference
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Functional Singular Spectrum Analysis with application to remote sensing data
Najibi, M. (Invited speaker)
2021 Jun 8Activity: Talk or presentation › Invited talk
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Penalized Spline Collective Density Estimator with Application to Loop Modeling and Protein Classification
Najibi, M. (Role not specified)
2019 Sept 11Activity: Talk or presentation › Invited talk
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