Center of Excellence in Higher Education
The First Private University in Bangladesh

Dr. Md. Alamin

Full Time Faculty


Assistant Professor 

Senior Research Scholar, Southern University of Science and Technology, Shenzhen, China.

Postdoctoral Fellow, Southern University of Science and Technology, Shenzhen, China.

Postdoctoral Researcher, Zhejiang University, Hangzhou, China

PhD, Zhejiang University, Hangzhou, China

Phone: +880-2-55668200 Ext: 6750

Email: md.alamin06@northsouth.edu

Office: SAC 1174

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Dr. Md. Alamin earned his PhD from Zhejiang University, China. He was awarded the Chinese Government Scholarship (CSC) to pursue his PhD. Following this, he continued at the same university as a Postdoctoral researcher. In 2018, he received the International Postdoctoral Exchange Fellowship (Talent-Introduction Program) from the China Postdoc Council. After his first postdoc, Dr. Alamin joined the Southern University of Science and Technology (SUSTech) in Shenzhen, China, as a Postdoctoral Fellow. Upon successfully completing his postdoc at SUSTech, he became a Senior Research Scholar at the same institution.

Dr. Alamin is now an Assistant Professor of Statistics at North South University (NSU) in Dhaka, Bangladesh. As a skilled Bioinformatician, he possesses extensive research experience in data science, computational statistics, model development, next-generation sequencing data analysis, and single-cell multi-omics. Over the past decade, he has conducted research in Bioinformatics, Computational Biology, and Statistical Genetics across China, Bangladesh, and other countries. His work includes numerous intervention research projects in Bioinformatics, Genetics, and Computational Statistics, and he has served as a consultant at both national and international levels. Dr. Alamin has a growing list of peer-reviewed publications in Bioinformatics, Statistical Genetics, and Medical Science.

His research interests focus on Bioinformatics, Computational and theoretical aspects of Statistical Data Science, Model Development, Data Mining, Business Statistics, Robust Statistics, Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI). Dr. Alamin is dedicated to developing personalized cancer treatments by examining genetic and epigenetic variations and the micro-evolution of cancer cells through single-cell sequencing technologies.

Selected Journal Articles (*Co-corresponding author; +Co-first author)

  1. Nobel SMN, Swapno SMMR, Islam MB, Azad AKM, Alyami SA, Alamin M, Lio P, Moni MA (2024). A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes. Advanced Intelligent Systems (Q1, Index: SCIE, Scopus; IF: 6.8).  
    https://doi.org/10.1002/aisy.202400566
  2. Naim MD, Alamin M, Mosharof MP, Imtiaj A, Mollah MNH (2024) Major components of RNAi gene families in Oryza sativa cultivar Kitaake: In-silico discovery and characterization. Heliyon, 10 (3), e40395 (Q1, Index: Scopus; IF: 3.4). https://doi.org/10.1016/j.heliyon.2024.e40395 
  3. Alamin M, Sultana MH, Babarinde IA, Azad AKM, Moni MA and Xu H (2024). Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs). Briefings in Bioinformatics, 25(3), bbae230 (Q1, Index: SCIE, Scopus; IF: 6.8). https://doi.org/10.1093/bib/bbae230
  4. Zhong Q, Wang X, Wei R, Liu F, Alamin M, Sun J, Gui L (2024). Equisetin inhibits adiposity through AMPK-dependent regulation of brown adipocyte differentiation. Heliyon, 10, e25458 (Q1, Index: SCIE, Scopus; IF: 3.4). doi.org/10.1016/j.heliyon.2024.e25458
  5. Emelin M†, Qiu X†, Fan F†, Alamin M† et al. (2024). Identification and designed QTL breeding of reliable QTLs for milling quality and grain shape in the reciprocal introgression lines in rice. BMC Plant Biology, 24, 38 (Q1, Index: SCIE, Scopus; IF: 5.3). https://doi.org/10.1186/s12870-023-04707-9
  6. Sultana MH†, Alamin M†, Qiu J, Fan L, Ye C (2023). Transcriptomic Profiling Reveals Candidate Allelopathic Genes in Rice Responsible for Interactions with Barnyardgrass. Frontier in Plant Sciences, 14:1104951 (Q1, Index: SCIE, Scopus; IF: 4.41). 10.3389/fpls.2023.1104951
  7. Alamin M, Sultana MH, Wenfei J, Haiming X (2022). Dissecting complex traits using omics data: a review on the linear mixed models and their application. Plants, 11(23), 3277 (Q1, Index: SCIE, Scopus; IF: 4.0). https://doi.org/10.3390/plants11233277
  8. Alam MS, Kong J, Tao R, Ahmed T, Alamin M, Alotaibi SS, Abdelsalam NR and Xu JH (2022). CRISPR-mediated knockout of bHLH transcription factor OsbHLH024 improves salt tolerance in rice (Oryza sativa L.). Plants, 11, 1184 (Q1, Index: SCIE, Scopus; IF: 4.0). https://doi.org/10.3390/plants11091184  
  9. Alam MJ, Alamin M, Sultana MH, Ahsan MA, Hossain MR, Islam SMI, Mollah MNH (2020). Bioinformatics studies on structures, functions, and diversifications of rolling leaf-related genes in rice (Oryza sativa). Plant Genetic Resources 18(5):382-395 (Q3, Index: SCIE, Scopus; F: 1.279). https://doi.org/10.1017/S1479262120000404
  10. Alamin M, Sultana MH, Haiming Xu, Mollah MNH (2020). Robustification of linear regression and its application in genome-wide association studies. Frontiers in Genetics 11:549 (Q2, Index: SCIE, Scopus; IF: 2.8). 10.3389/fgene.2020.00549
  11. Sultana MH, Liu F, Alamin M, Mao L, Jia L, Chen H, Wu D, Wang Y, Fu F, Wu S, Wang W, Ye C, Zhu QH, Qiu J and Fan L (2019) Gene modules co-regulated with biosynthetic gene clusters for allelopathy between rice and barnyardgrass. International Journal of Molecular Sciences 20(16):3846 (Q1, Index: SCIE, Scopus; IF: 4.9). https://doi.org/10.3390/ijms20163846 
  12. Zeng DD, Yang CC, Qin R, Alamin M, Yue EK, Jin XL, Shi CH (2018) A guanine insert in OsBBS1 leads to early leaf senescence and salt stress sensitivity in rice (Oryza sativa). Plant Cell Reports 37:933-946 (Q1, Index: SCIE, Scopus; IF: 5.3). https://doi.org/10.1007/s00299-018-2280-y 
  13. Alamin M, Zeng DD, Qin R, Sultana MH, Jin XL, Shi CH (2018) Rice SDSFL1 plays a critical role in the regulation of plant structure through the controlling of different phytohormones and altered cells structure. Journal of Plant Physiology 231:110-123 (Q1, Index: SCIE, Scopus; IF: 4.0). https://doi.org/10.1016/j.jplph.2018.09.005 
  14. Qin R, Zeng DD, Yang CC, Akhter D, Alamin M, Jin XL, Shi CH (2018) LTBSG1, a new allele of BRD2, regulates panicle and grain development in rice by brassinosteroid (B.R.) biosynthetic pathway. Genes 9(6):292 (Q2, Index: SCIE, Scopus; IF: 2.8). https://doi.org/10.3390/genes9060292  
  15. Yang CC, Zeng DD, Qin R, Alamin M, Jin XL, Shi CH (2018) Rice gene, BBH/Lsi1, regulates the color of rice hull by reducing the absorption and deposition of silicon and accumulating excess flavonoid. Plant Growth Regulation 85(1):133-142 (Q1, Index: SCIE, Scopus.; IF: 3.5). https://doi.org/10.1007/s10725-018-0379-3 
  16. Alamin M, Zeng DD, Qin R, Sultana MH, Jin XL, Shi CH (2018) Photosynthesis, pigment contents, cellulose contents, and ultrastructure changes in a rice mutant leading to screw flag leaf. Plant Growth Regulation 85(1):1-13 (Q1, Index: SCIE, Scopus.; IF: 3.5). https://doi.org/10.1007/s10725-018-0369-5 
  17. Akhter D, Qin R, Nath UK, Alamin M, Jin XL, Shi CH (2018) The brown midrib leaf (bml) mutation in Rice (Oryza sativa) causes premature leaf senescence and induction of defense responses. Genes 9(4):203 (Q2, Index: SCIE, Scopus; IF: 2.8). https://doi.org/10.3390/genes9040203 
  18. Alamin M, Zeng DD, Qin R, Sultana MH, Jin XL, Shi CH (2017) Characterization and fine mapping of SFL1, a gene controlling Screw Flag Leaf in rice. Plant Molecular Biology Reporter 35(5):491-503 (Q2, Index: SCIE, Scopus; IF: 1.816). https://doi:10.1007/s11105-017-1039-x  
  19. Zeng DD, Qin R, Li M, Alamin M, Jin XL, Liu Y, Shi CH (2017) The ferredoxin-dependent glutamate synthase (OsFd-GOGAT) participates in leaf senescence and the nitrogen remobilization in rice. Molecular Genetics and Genomics 292:385-395 (Q2, Index: SCIE, Scopus; IF: 2.3). https://doi.org/10.1007/s00438-016-1275-z
  20. Qin R, Zeng DD, Liang R, Yang CC, Akhter D, Alamin M, Jin XL, Shi CH (2017) Rice gene SDL/RNRS1, encoding the small subunit of Ribonucleotide Reductase, is required for chlorophyll synthesis and plant growth development. Gene 627:351-362 (Q2, Index: SCIE, Scopus; IF: 2.6). https://doi.org/10.1016/j.gene.2017.05.059  
  21. Zeng DD, Qin R, Alamin M, Liang R, Yang CC, Jin XL, Shi CH (2016) DBOP specifies palea development by suppressing the expansion of the margin of palea in rice. Genes and Genomics 38:1095-1103 (Q3, Index: SCIE, Scopus; IF: 1.6). https:.//doi:10.1007/s13258-016-0454-y 

 

Journal Article without SCI Index

  1. Sultana MH, Alamin M, Alam MJ, Fan L, MNH Mollah (2019) SNP Based Robust Fast-eQTL Mapping for Identification of Important Genes. International Journal of Statistical Sciences 17: 97-114. https://www.ru.ac.bd/stat/ijss-current-issue/
  2. Alam MJ, Alamin M, Sultana MH, Amanullah M, Mollah MNH (2016) Regression Based Robust QTL Analysis for F2. Rajshahi University Journal of Science & Engineering 44:95-99. https:://doi:10.3329/rujse.v44i0.30401
  3. Alam MJ, Alamin M, Hossain MR, Islam SMS, Mollah MNH (2016) Robust linear regression based simple interval mapping for QTL analysis with backcross population. Journal of Biological-Sciences 24:75-81. https://doi.org/10.3329/jbs.v24i0.37489

Publications in the Proceedings (with oral / poster presentations):

 

  1. Sultana MH, Alamin M* (2024). Robust eQTL model development for Single-Cell Sequencing data. 8th International Conference in The Role of Statistics and Data Science in 4IR (ICRSDS4IR), Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. (Accepted)
  2. Hossain MA,Swarna H, Imran MA, Hossain MH, and Alamin M* (2024). Smart Health Monitoring: An IoT-Based System for Enhanced Remote Patient Care and Early Detection. 8th International Conference in The Role of Statistics and Data Science in 4IR (ICRSDS4IR), Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. (Accepted)
  3. Hrithik IA, Ahmed MJ, Prodhan JM, Purna AN, Dhar S and Alamin M* (2024). Advances in eQTL tools for bridging bulk and single-cell sequencing for disease risk prediction. 8th International Conference in The Role of Statistics and Data Science in 4IR (ICRSDS4IR), Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. (Accepted)
  4. Oyshi S, Peea TI, Sultana MH, Hossain MS  and Alamin M* (2024). Heart Failure Prediction Using Machine Learning Models – A Comparative Study of Multiple Algorithms. 8th International Conference in The Role of Statistics and Data Science in 4IR (ICRSDS4IR), Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. (Accepted)
  5.  Pappu MAA, Alamin M, Sultana MH, Sarkar A , Mahmud S, Ajadee A and Mollah MNH (2024). Cell-type specific gene expression changes in Parkinson's disease revealed by analyzing single-nuclei RNA-seq profiles. 8th International Conference in The Role of Statistics and Data Science in 4IR (ICRSDS4IR), Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. (Accepted)
  6. Hossen MB,Sultana MH, Pappu MAA, Mollah MNH, Alamin M* (2024). Identification of key molecular signatures and bioactive compounds modulating screw flag leaf development in rice. 8th International Conference in The Role of Statistics and Data Science in 4IR (ICRSDS4IR), Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh. (Accepted)
  7. Sultana MH, Alamin M, Alam MJ, Amanullah M, Mahmud AS and Mollah MNH (2015). An Overview of Next Generation Sequencing Data Analysis by Statistics Methods. Second International Conference on Statistics 2015, University of Dhaka, Dhaka, Bangladesh. [Link]
  8. Sultana MH, Alamin M, Alam MJ and Mollah MNH (2015). Robust Preprocessing of Microarray Gene Expression Data for Fast eQTL. International Conference on Biological Sciences: Food, Health and Environmental Perspectives (ICBSC), 8 August 2015, Organized & Published by Institute of Biological Sciences, University of Rajshahi, Rajshahi, Bangladesh.
  9. Alam MJ, Alamin M, Sultana MH, Amanullah M and Mollah MNH (2014). Robust Regression Based Interval Mapping Approach for QTL International Conference on Applied Statistics, December 27-29, 2014, Organized by ISRT, University of Dhaka, Dhaka, Bangladesh. [Link]
  10. Sultana MH, Alamin M, Alam MJ and Mollah MNH (2014). Robustification of Fast Map for eQTL Analysis to Find Genomic Locations Influencing Gene Expression. International Conference on Applied Statistics, December 27-29, 2014, Organized by the Institute of Statistical Research and Training (ISRT), University of Dhaka, Dhaka, Bangladesh. [Link]
  11. Alamin M, Monir MM, Ahsan MA, Rahaman MM, Mazid MA and Mollah MNH (2013). Regression Based QTL Analysis Using Flanking Markers. Poster presented at the Conference of the Bangladesh Society for Biochemistry and Molecular Biology, January 12 & 13, 2013, Chittagong, Bangladesh. [Link]
  12. Mazid MA, Monir MM, Rahaman MM, Ahsan MA, Alamin M and Mollah MNH (2013). A comparison between QTL and eQTL analysis for identification of important genes. Poster presented at the Conference of the Bangladesh Society for Biochemistry and Molecular Biology, January 12 & 13, 2013, Chittagong, Bangladesh. [Link]
  13. Rahaman MM, Ahsan MA, Monir MM, Alamin M, Mazid MA and Mollah MNH (2013). Robust Classification for Microarray Gene Expression Data Analysis. Poster presented at the Conference of the Bangladesh Society for Biochemistry and Molecular Biology, January 12 & 13, 2013, Chittagong, Bangladesh. [Link] 
  14. Ahsan MA, Rahaman MM, Monir MM, Alamin M, Mazid MA and Mollah MNH (2013). Factor Analysis: a unified approach for simultaneous gene clustering and identification of differential expressions. Poster presented at the Conference of the Bangladesh Society for Biochemistry and Molecular Biology, January 12 & 13, 2013, Chittagong, Bangladesh. [Link]
  15. Monir MM, Alamin M, Ahsan MA, Rahaman MM, Mazid MA and Mollah MNH (2013). Robust QTL Mapping for Identification of Linked and Unlinked QTLs. Poster presented at the Conference of the Bangladesh Society for Biochemistry and Molecular Biology, January 12 & 13, 2013, Chittagong, Bangladesh. [Link]
  16. Alamin M, Hasan MM, Badsha MB and Mollah MNH (2012). Statistical Models for Detection of Chromosomal Location Influencing Phenotypes. Presented in the Zoha Memorial Symposium, February 15, 2012. Department of Chemistry, University of Rajshahi, Rajshahi-6205, Bangladesh. [Link]
  17. Alamin M, Hasan MM, Badsha MB and Mollah MNH (2012). Identification of Chromosomal Locations Influencing Phenotypes. Proceeding in The 3rd BJSPSAA Symposium on Science for Society, February 24 & 25, 2012, Dhaka, Bangladesh. [Link]
  18. Alamin M, Razzaque MA and Mollah MNH (2012). A Robust Regression Method for QTL Analysis Using Flanking Marker. Proceedings of the International Conference on Statistical Data Mining for Bioinformatics, Health, Agriculture and Environment - 2012, University of Rajshahi, Bangladesh, pp. 112-116, ISBN-978-984-33-5876-9. (With oral presentation). [Link]
  19. Badsha MB, Hasan MM, Alamin M and Mollah MNH (2012). Application of Clustering Approaches for Bioinformatics. Presented in the Zoha Memorial Symposium, February 15, 2012. Department of Chemistry, University of Rajshahi, Rajshahi-6205, Bangladesh. [Link]
  20. Hasan MM, Alamin M, Badsha MB and Mollah MNH (2012). Identification of Differentially Expressed Genes for Bioinformatics. Presented in the Zoha Memorial Symposium, February 15, 2012. Department of Chemistry, University of Rajshahi, Rajshahi-6205, Bangladesh. [Link]
  21. Badsha MB, Hasan MM, Alamin M and Mollah MNH (2012). Clustering Approaches for Gene Expression Data Analysis. Proceeding in The 3rd BJSPSAA Symposium on Science for Society, February 24 & 25, 2012, Dhaka, Bangladesh. [Link]
  22. Hasan MM, Alamin M, Badsha MB and Mollah MNH (2012). Robust Identification of Differentially Expressed Genes Using Likelihood Ratio Test. M.M. Proceeding in The 3rd BJSPSAA Symposium on Science for Society, February 24 & 25, 2012, Dhaka, Bangladesh. [Link]
  23. Badsha MB, Hanif MA, Hasan MM, Alamin M and Mollah MNH (2011). Some New Robust Statistical Algorithms and Its Application in Bioinformatics. Proceeding of the Golden Jubilee 2011, Department of Statistics, University of Rajshahi, Rajshahi 6205, Bangladesh. [Link]
2018 International Postdoctoral Exchange Fellowship Program 2018 (Talent-Introduction Program), China Postdoc Council (OCPC) and Zhejiang University
2014 Chinese Government Scholarship for the Ph.D. program, Chinese Government
2008 Rajshahi University Scholarship (Based on overall academic performance), Rajshahi University, Bangladesh.

Senior Research Scholar, Southern University of Science and Technology, Shenzhen, China.

Postdoctoral Fellow, Southern University of Science and Technology, Shenzhen, China.

Postdoctoral Researcher, Zhejiang University, Hangzhou, China

PhD, Zhejiang University, Hangzhou, China

Master of Science (Thesis Group), Department of Statistics, University of Rajshahi, Bangladesh

Bachelor of Science, Department of Statistics, University of Rajshahi, Bangladesh

July 2024 - Present Assistant Professor of Statistics, North South University, Bangladesh
Feb 2023 - Dec 2023 Senior Research Scholar, Southern University of Science and Technology, Shenzhen, China
Sep 2020 - Jan 2023 Postdoctoral Fellow, Southern University of Science and Technology, Shenzhen, China
Sep 2018 - Aug 2020 Postdoctoral Researcher, Zhejiang University, Hangzhou, China
July 2012 - Aug 2014 Statistical Programmer, Shafi Consultancy Ltd., Sylhet, Bangladesh

 

News

 

Talks

  • Seminar on "Higher Education Opportunities For Statistics Graduates Worldwide!", 11 March 2024, Time: 11:00 AM; Venue: Room No. 203, Nuclear Scientist Dr. MA Wazed Miah Science Building, Organized by the Department of Statistics, Islamic University, Kushtia.

 

  • Seminar on "Genes to Genomes: Exploring the Application of Molecular Breeding and Bioinformatics in Crop Improvement", 16 May 2024, Time: 10:30 AM; Venue: Virtual Classroom (2nd Floor); Organized by the Department of Agricultural Chemistry, Faculty of Agriculture, Sylhet Agricultural University, Sylhet.

 

  • বিদেশে উচ্চ শিক্ষা ও গবেষণা, আয়োজনেঃ পরিসংখ্যান পরিবার, পরিসংখ্যান বিভাগ, রাজশাহী বিশ্ববিদ্যালয়। Facebook Live Link

     

Interview

 

ডক্টর মোঃ আল আমিনের সাক্ষাত্কার, 14 January 2022, CRI Bangla. CRI Bangla Web Page, Facebook Live Link

 

 

Summer 2024

  • MAT116: Pre-Calculus 
  • MAT361: Probability and Statistics

Outlines my research interests at the intersection of plants, animals and humans:

 

Area  Description
Single-cell genomics

: Analyzing the genetic material of individual cells within a population, providing insights       into cellular heterogeneity and gene expression dynamics.
Bioinformatics                                                 

: Utilizing computational tools to analyze biological data from plants and humans.
Multi-omics Data Analysis                              

: Integrating data from various omics platforms (genomics, transcriptomics, etc.) to gain       comprehensive insights into plant and human biology.
AI/ML/DL (Artificial Intelligence, Machine      Learning, Deep Learning)                                     

: Utilizing AI-based approaches to analyze various complex datasets from plants and             humans.
GWAS (Genome-wide association studies)  

: Identifying genetic variants in plants and humans associated with specific traits or                 diseases.
QTL Analysis (Quantitative Trait Loci)           

: Identifying genomic regions influencing quantitative traits in plants and human.
eQTL Analysis (Expression QTL)                   

: Investigating how genetic variation affects gene expression in plants and humans.
Model Development                                         

: Constructing computational models to simulate and understand diverse processes and         their applications across various fields
Computational Biology                                   

: Applying computational methods to analyze and interpret biological data from plants and     humans.
Data Science                                                    

: Employing data science techniques to extract meaningful information from large-scale         datasets.
Data Mining                                                       : Discovering hidden patterns and trends within plant and human.

 

Projects: Six Projects are running now in the field of ML/Single-cell Genomics and Bioinformatics.

 

Position Open:

  • Graduate and Undergraduat Projects

Interested students and collaborators can reach me at md.alamin06@northsouth.edu. I am open to collaborations worldwide.