Md. Menhazul Abedin, PhD
Associate Professor
Email:
menhaz70@gmail.com
Contact:
+880 1773-395 473
Address:
Statistics Discipline, Kabi Jibanananda Das Academic Building (3rd Academic Building), Room No. 3160, Khulna University, Khulna-9208, Bangladesh. menhaz70@gmail.com menhaz@stat.ku.ac.bd
I recieved Ph.D. from the Graduate School of Chemical Science and Engineering at Hokkaido University, Japan, where I conducted research under the supervision of Professor Tamiki Komatsuzaki. My research focuses on the Bandit algorithm, particularly the Contextual Bandit algorithm, and its applications in sequential decision-making. My Ph.D. thesis, titled “Study on Multi-armed Bandit Algorithm for Sequential Experiments to Predict the Best Molecule with Dynamic Feature Selection,” investigates the potential of this algorithm in fields such as molecule searching and drug screening. The Bandit algorithm has diverse applications across internet advertising, social media platforms like Facebook and YouTube, and internet routing.
I completed my B.Sc. (Hons) and M.Sc. degrees from the Department of Statistics at Rajshahi University, Bangladesh. My master’s thesis, supervised by Dr. Mohammad Nasser, Professor of Statistics at Rajshahi University, was titled “Prospects and Problems of Artificial Neural Network Based Supervised Learning.”
Throughout my career, I have attended numerous national and international conferences, presenting my work in both oral and poster sessions. My research findings have been published in several high-impact Q1 journals, covering domains such as Bandit Algorithm, Public Health, Machine Learning, and Bioinformatics, with a focus on Microarray gene expression data.
I am conducting the Statistical Theory and Analysis on Natural Sciences Lab to advance interdisciplinary research through statistical methods.
- PhD, Hokkaido University, Hokkaido,Japan
- M.Sc. (Thesis) in Statistics, Rajshahi University, Rajshahi-6205, Bangladesh.
- B.Sc. (Hon's) in Statistics, Rajshahi University, Rajshahi-6205, Bangladesh.
- Reinforcement learning
- Multi Arm Bandit Algorithm (MAB)
- Contextual Bandit Algorithm
- Sequential decision making
- Machine Learning
- Bioinformatics
- Public health
Current Research Project/Collaboration
| SL | Title | Research Role | Awarded Date | Completion Date | Funding Agency |
|---|---|---|---|---|---|
| 1 | Search Space Optimization of Drug Like Molecules Using Multi-Armed Bandit Algorithms with Fixed Confidence Setting | Principal Investigator | July 2025 | June 2026 | National |
| 2 | Scalable Synthesis of modified zeolites for climate change mitigation: A synergistic experimental and computationalapproach to CO2 adsorption | Co-Principal Investigator | Dec 2025 | Cont. | National |
| 3 | A Face-to-Face Interview for the Evaluation of Menstrual Hygiene Management Among Female University Students in Khulna District, Bangladesh: A Statistical Analysis | Principal Investigator | July 2025 | June 2026 | National |
Teaching and Research Experience
- Associate Professor, Statistics Discipline, Khulna University, Khulna-9208, Bangladesh.
- PhD fellow in Molecule and Life Nonlinear Sciences Laboratory, Hokkaido University, Japan (Under the DX fellowship and Hokkaido University Special Grant Program).
- Worked as a Research Assistant (RA) in Molecule and Life Nonlinear Sciences Laboratory, Hokkaido University, Japan.
- Former Assistant Professor, Statistics Discipline, Khulna University, Khulna-9208, Bangladesh.
- Former Lecturer, Statistics Discipline, Khulna University, Khulna-9208, Bangladesh.
- Former Lecturer in Statistics, Rajshahi Engineering Science & Technology College, Rashahi-6205, Bangladesh.
Taught Courses
- Stat-5103: Advanced Multivariate Analysis
- Stat-5201: GLM
- Stat-4101: Multivariate Analysis-I
- Stat-4201: Multivariate Analysis-II
- Stat-3209: Actuarial Statistics
- Stat-3205: Advanced Sampling Techniques
- Stat-3203: Sampling Techniques-II
- Stat-3111: Actuarial Statistics
- Stat-2251: Advance Statistics (Development Studies Discipline)
- Stat-2153: Statistics-III (Mathematics Discipline)
- Stat-1203: Discrete Probability Distribution
- Stat-1163: Statistics in Environmental Science (Environmental Science Discipline)
1. DX fellowship, Hokkaido University2. AGS fellowship, Hokkaido University3. National Science and Technology Scholarship, Ministry of Science and Technology,Government of The People's Republic of Bangladesh.4. Khandokar Manowar Hossain Memorial Award, Department of Statistics, University ofRajshahi.
Supervision
| SL | Title | Degree | Role | Start Date | End Date |
|---|---|---|---|---|---|
| No Supervision Available | |||||
No Data Available
coming soon...
Book chapter
· Md Maniruzzaman, Md
Jahanur Rahman, Benojir Ahammed, Md Menhazul Abedin, Harman S Suri,
Mainak Biswas, Ayman El-Baz, Petros Bangeas, Georgios Tsoulfas, Jasjit S Suri
(2020). Statistical characterization and classification of colon
microarray gene expression data using multiple machine learning paradigms.
Cognitive Informatics, Computer Medeling, and Cognitive Science, Volume 1:
Theory, Case Studies, and Applications, Chapter-14, Pages 273-317. https://doi.org/10.1016/B978-0-12-819443-0.00014-3
Published Articles
·
Tonmoy Kumar Roy, Md.
Shoebuj Zaman, Ashikul Islam Pollob, Md. Asadujjaman, Md. Menhazul Abedin, Md.
Merajul Islam, Md. Maniruzzaman (2026). Comparative Analysis of Hypertension
Stages Prevalence and Associated Factors in Bangladesh: Evidence From BDHS 2017–18
and 2022, The Journal of Clinical Hypertension 28, no. 9 (2026): e70358.
https://doi.org/10.1111/jch.70358.
· Md. Menhazul Abedin, Koji Tabata, Yoshihiro Matsumura, and Tamiki
Komatsuzaki, (2024) “Multi-armed Bandit Algorithm for Sequential Experiments
of Molecular Properties with Dynamic Feature Selection” 161,
014115, J. Chem. Phys.
· Md. Merajul Islam, Md.
Jahanur Rahman, Md. Menhazul Abedin, Benojir Ahammed, Mohammad Ali, N.A.M
Faisal Ahmed and Md. Maniruzzaman (2022). Identification of the
risk factors of type 2 diabetes and its prediction using machine learning
techniques. Health systems; taylor & Francis.
·
Pollob, S.M. A.I., Abedin,
M.M., Islam, M.T., Islam, M.M., Maniruzzaman, M. (2022). Predicting
risks of low birth weight in Bangladesh with machine learning. Plos One (Public Library of Science) (SJR Q1).
·
Kamrul Hassan, Sheikh
Rayhanul Islam, Md. Shahariar Rokon, Shadman Shakib Ahmed, Sumaiya Islam1,
Mazidul Islam, Md. Maniruzzaman, Md. Menhazul Abedin (2022).
Relationship between Mental Health and Facebook users among Khulna University
Students in Bangladesh. Minerva Psichiatrica (New title: Minerva Psychiatry).
·
Md. Merajul Islam, Md.
Jahanur Rahman, Md Moidul Islam, Dulal Chandra Roy, N.A.M.
Faisal Ahmed Sadiq Hussain, Md Amanullah, Md.
Menhazul Abedin, Md. Maniruzzaman (2022). Application of
machine learning based algorithm for prediction of malnutrition among women in
Bangladesh. International Journal of Cognitive Computing in Engineering.
·
SM Jubaidur Rahman,
NAM Faisal Ahmed, Md Menhazul Abedin, Benojir Ahammed, Mohammad Ali, Md
Jahanur Rahman, Md Maniruzzaman (2021). Investigate the risk factors of
stunting, wasting, and underweight among under-five Bangladeshi children and
its prediction based on machine learning approach. Plos one 16.6:
e0253172.
·
Md
Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, Md Maniruzzaman
(2021). Investigate the Effect of Diabetes on Hypertension based on Bangladesh
Demography and Health Survey, 2017-18. (Preprints)
·
Md.
Maniruzzaman, Md. Shaykhul Islam, Md. Menhazul Abedin, Md Amanullah and Sadiq Hussain
(2020). Prediction of Childhood Diarrhea in Bangladesh using Machine
Learning Approach. Insights Biomed Res 4(1):111-116
·
Mamunor
Rashid, Menhazul Abedin (2020). New media and public engagement: A case
study in Khulna University. Jalalabad Papers, 1 (1), 81-97.
·
Ahammed, B., Maniruzzaman,
M., Ferdausi, F., Abedin, M. M., & Hossain, M. T. (2020). Socioeconomic
and demographic factors associated with low birth weight in Nepal: Data from
2016 Nepal demographic and health survey. Social Health and
Behavior. 3(4), 158-165.
·
Supti, RM, Maniruzzaman,
M, Piuly NN, Abedin MM, Ali M, Yeasmin, MA and Ahmed NAMF
(2020). Factors Associated with Neonatal and Infant Mortality: A Case
Study on Bangladesh. Human Biology Review, 9 (2), 129-145.
·
Maniruzzaman,
M., Rahman, M.J., Ahammed, B., Abedin, M.M.,
(2020). Classification and prediction of diabetes disease using machine
learning paradigm. Health Information Science and Systems (Springer).
8:7. http://doi.org/10.1007/s13755-019-0095-z
·
Rahman, S, M., Rahman, A, M., Ali, M., Rahman, S, M., Maniruzzaman,
M., Yeasmin, A, M., Ahmed, F, N, A, F., Abedin, M, M., Islam,
S. M. S. (2019). Determinants of depressive symptoms among older people
in Bangladesh. Journal of Affective
Disorders (Elsevier). https://doi.org/10.1016/j.jad.2019.12.025
·
Rahman,
M. S., Ahmed, N. F., Ali, M., Abedin, M. M., & Islam, M. S. (2019).
Determinants of tobacco cultivation in Bangladesh. Tobacco control.
·
Rokon,
S, M., Jishan, M., Hassan, K., Biswas, B., Shuchi, T., Islam,
R,S., Maniruzzaman, M., Abedin, M, M., (2019). Influencing
Factors for Excessive Use of Facebook: A Case Study in Khulna University,
Bangladesh. Journal of Research in Education, Science and Technology. 3
(2), 1-11.
·
Md
Maniruzzaman, Md Jahanur Rahman, Benojir Ahammed, Md Menhazul Abedin,
Harman S Suri, Mainak Biswas, Ayman El-Baz, Petros Bangeas, Georgios Tsoulfas,
Jasjit S Suri. "Statistical Characterization and Classification of Colon
Microarray Gene Expression Data using Multiple Machine Learning
Paradigms". Computer Methods and Programs in Biomedicine (2019).
·
Benojir Ahammed, Rasel
Kabir, Menhazul Abedin, Mohammad Ali, Akhtarul Islam. "Determinants
of different birth intervals of ever married women: Evidence from
Bangladesh." Clinical Epidemiology and Global Health(2019).
·
Menhazul
Abedin, Maniruzzaman Md,
Mohammad Ali, Faisal Ahmed, Benojir Ahammed. "Assessing and Determining
Potential Factors Associated with Vitamin A Supplementation in
Bangladesh". Biostatistics and Biometrics Open Access Journal (BBOAJ)
(2019).
·
M.
M. Abedin, M. M.,
Maniruzzaman, M., Ahmed, N. A. M., Ali, M., & Hasan (2018). Level of
Awareness about HIV Transmission among Married Men in Bangladesh".
International Journal of Engineering and Computer Science.
·
Ahammed,
Benojir, and Md Abedin (2018). "Predicting wine types with
different classification techniques." Model Assisted Statistics and
Applications 13, no. 1: 85-93.
·
Maniruzzaman,
Md, Harman S. Suri, Nishith Kumar, Md Menhazul Abedin, Md Jahanur
Rahman, Ayman El-Baz, Makrand Bhoot, Jagjit S. Teji, and Jasjit S. Suri.
"Risk factors of neonatal mortality and child mortality in
Bangladesh." Journal of global health 8, no. 1 (2018).
·
Maniruzzaman,
Md, Md Jahanur Rahman, Md Al-MehediHasan, Harman S. Suri, Md Menhazul Abedin,
Ayman El-Baz, and Jasjit S. Suri. "Accurate Diabetes Risk Stratification
Using Machine Learning: Role of Missing Value and Outliers." Journal of
medical systems 42, no. 5 (2018): 92.
·
Mohammad Ali, Al
Hasib Billah, Sutapa Dey Barna, Mahfuza Yesmin,
Md. Menhazul Abedin1 and N. A. M Faisal Ahmed (2017). A
Comparative Study of Different Classification Techniques on SNP Data. IJRDO-Journal
of Biological Science.
·
Maniruzzaman, Md,
Nishith Kumar, Md Menhazul Abedin, Md Shaykhul Islam, Harman S. Suri,
Ayman S. El-Baz, and Jasjit S. Suri. "Comparative approaches for
classification of diabetes mellitus data: Machine learning paradigm."
Computer methods and programs in biomedicine 152 (2017): 23-34.
M.Sc. Thesis and PhD Title
·
Prospects and Problems of Artificial neural
Network based Supervised learning, M.Sc. thesis.
·
Study on Multi-armed Bandit Algorithm for
Sequential Experiments to Predict the Best Molecule with Dynamic Feature
Selection, PhD thesis.
Conference
·
From Molecular
Optimization to Public Health Analytics: Data-Driven Framework of
Multidisciplinary Statistical Learning Study. Md. Menhazul Abedin. International
Conference on Emerging Frontiers in Advanced Sciences and Technologies 2026,
Pabna University of Science & Technology. (Invited speaker)
·
Unveiling the Public
Perceptions of Thalassemia and Hepatitis B: Insights from Canonical Correlation
Analysis. Mohammaed Abrar Jawad Arnob, Md. Khalilur Rahman, Md. Firuzzaman, Md.
Maniruzzaman, A M Mujahidul Islam, Md. Menhazul Abedin. International
Conference on Emerging Frontiers in Advanced Sciences and Technologies 2026,
Pabna University of Science & Technology.
·
Socio-Demographic
Factors and Health Issues Associated with Menstrual Hygiene Management Among
University Students in Khulna, Bangladesh. Nusan Tabassum, Abdur Rahman,
Sharlene Alauddin, Mohammad Ali, Md. Menhazul Abedin. International Conference
on Emerging Frontiers in Advanced Sciences and Technologies 2026, Pabna
University of Science & Technology.
·
Menstrual Hygiene
Management Among Female University Students in Khulna, Bangladesh: A Knowledge,
Attitude, and Practice (KAP) Study. Mobashara Munsi Sony, Sharlene Alauddin,
Md. Maniruzzaman, Md. Menhazul Abedin. International Conference on Emerging
Frontiers in Advanced Sciences and Technologies 2026, Pabna University of
Science & Technology.
·
Convergence of Dynamically
selected Features to Optimal Features: Perspective from Sequential Optimization
on Chemical Problem Md. Menhazul
Abedin, Kazi Sabbir Hossain, Md. Maniruzzaman and Mohammad Ali, ISRT
Dhaka University, 2025.
·
Md.
Menhazul Abedin, Koji Tabata, Jean-Emmanuel Clément, Lei Wang, Masumi Tsuda,
Shinya Tanaka, Tamiki Komatsuzaki,
“Application of Linear Bandit in Drug Screening Example”, 21st
RIES-Hokudai International Symposium; 10-11 December 2020, Hokkaido University,
Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Jean-Emmanuel
Clément, Lei Wang, Masumi Tsuda, Shinya Tanaka, Tamiki Komatsuzaki, “Solving
Drug Screening Problem Using Linear Bandit Approach”, 3rd ICReDD International
Symposium; Feb. 22 (Mon) - 24 (Wed), 2021, Hokkaido University, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Tamiki
Komatsuzaki1, “Linear Bandit for Absolute Reward in Huge Feature Space”, 22nd
RIES-Hokudai International Symposium”, 06 -07 December 2021, Hokkaido
University, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Absolute Reward in Large Feature Space:
Tracking by Linear Bandit”, The 60th Annual Meeting of Biophysical Society
Japan; September 28-30, 2022; Hakodate, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Joshua Arenson, Tamiki Komatsuzaki, “Linear bandit algorithm for
rapid drug screening using topological features of molecules”, FlyWorks
Workshop 2022; August 7-9, 2022; Niseko, Hokkaido, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Linear Bandit Algorithm for the Sequential
Experiments of Molecular Properties”, 23rd RIES-Hokudai International
Symposium; December 05-06, 2022; Hokkaido University, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Linear Bandit Algorithm for the Sequential
Experiments of Molecular Properties”, 5th ICReDD International Symposium and
2nd Akira Suzuki Awards Ceremony; January 10-11, 2023; Hokkaido University,
Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Sequential Experiments of Molecular Properties
Under Linear Bandit Framework”, ICAT International Symposium on Catalysis 2023;
July 18-19, 2023; Hokkaido University, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Desired property screening of molecules
utilizing Linear Bandit Algorithm”, 14th CSE International Summer
School and the 11th ALP International Symposium; 31st
August -01 September 2023, Chippubetsu, Hokkaido, Japan (Oral)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Linear Bandit Algorithm for the Sequential
Experiments of Molecular Properties”, Theoretical chemistry workshop, 17 August
2023, Hokkaido University, Japan. (Oral)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Sequentially Molecular Properties Prediction
using Linear Bandit Algorithm”, The 2023 RIES-CEFMS Joint International
Symposium, Dec 07-08, 2023, Rusutsu, Hokkaido, Japan. (Poster)
·
Md. Menhazul Abedin, Koji Tabata, Yoshihiro
Matsumura, Tamiki Komatsuzaki, “Multi-Armed Bandit Algorithm for Sequential
Experiments of Molecular Properties with Dynamic Feature Selection”,
Serendipity Symposium, Mar 10-13, 2024, Ishigaki island, Okinawa, Japan.
(Poster)
·
Tapos Kumar Biswas,
Most. Farida Khatun, N. A. M. Faisal Ahmed, Md. Menhazul Abedin,
Benojir Ahammed, Md. Maniruzzaman, Mohammad Ali (2019). A
Comparative Study of Hierarchical Clustering Methods Based on Cancer Gene
Expression Data. 7th International Conference on Data
Science and SDGs: Challenges, Opportunities and Realities. Organized by
Statistics Department, Rajshahi University.
·
S.M. Jubaidur Rahman,
N. A. M. Faisal Ahmed, Md. Menhazul Abedin, Benojir Ahammed,
Mohammad Ali, Md. Maniruzzaman (2019). Prediction of Malnutrition
and Its Risk Factors among Under-Five Children in Bangladesh: A Comparison with
Support Vector Machine and Logistic Regression. 7th International
Conference on Data Science and SDGs: Challenges, Opportunities and
Realities. Organized by Statistics Department, Rajshahi University.
·
Kamrul , Mohd. Mohaiminul,
Sawda and Md. Menhazul Abedin (2019). Relationship
among Mental Health Variables: Comparison between Facebook Users and Non-users
in Khulna University. 7th International Conference on Data
Science and SDGs: Challenges, Opportunities and Realities. Organized by
Statistics Department, Rajshahi University.
·
Sheikh Rayhanul Islam,
Mir Zubaer Ahmed, Mst. Farzana Akter Reshmi and Md. Menhazul
Abedin (2019). Satisfaction with Work-Family Balance among
Bankers: A Case-Study in Khulna City, Bangladesh. 7th International
Conference on Data Science and SDGs: Challenges, Opportunities and
Realities. Organized by Statistics Department, Rajshahi University.
·
Md. Menhazul Abedin, Md. Maniruzzaman, N. A. M. Faisal Ahmed, Benojir
Ahammed, Mohammad Ali (2019) . Classification and Prediction of Parkinson
Disease: A Machine Learning Approach. 7th International Conference
on Data Science and SDGs: Challenges, Opportunities and Realities.
Organized by Statistics Department, Rajshahi University.
·
Md. Maniruzzaman, Md.
Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin (2019). Logistic
Regression based Feature Selection and Classification of Diabetes Disease using
Machine Learning Paradigm. 7th International Conference
on Data Science and SDGs: Challenges, Opportunities and Realities.
Organized by Statistics Department, Rajshahi University.
·
Determinants of
Misconceptions about HIV Transmission among Married Men in Bangladesh,
M.Sc. Inplant training.
·
Md. Shaykhul
Islam, Md. Nazrul Islam Mondal, Md. Rafiqul Islam, Md.
Menhazul Abedin, Md. Maniruzzaman (2015). Factor Related to the
Occurrence of Diarrheal Disease among Under-Five Children in Bangladesh.
Proceedings of First International Conference on Mathematics and its
Application. 23 December 2015, organized by Mathematics Discipline, University
of Khulna, Khulna-9208, Bangladesh.
·
Md. Menhazul Abedin, Dr. Md. Nazrul Islam Mondal , Dr. Mohammed
Nasser, Md. Shaykhul Islam, Md. Maniruzzaman (2015). Misconception about
HIV/AIDS Transmission among Married Men: A population based study in
Bangladesh. Proceedings of First International Conference on Mathematics
and its Application, during the period 23 December, 2015, organized by
Mathematics Discipline, University of Khulna, Khulna-9208, Bangladesh.
·
Md. Maniruzzaman, Md. Menhazul Abedin, Dr.
Mohammed Nasser, Md. Shaykhul Islam, (2016). “A Study on Gaussian Process
Based Regression and Classification” on Professor Mohammed Nasser Memorial
Seminar Statistics and Bioinformatics for Sustainable Development, 13 March,
2016, organized by the Department of Statistics, University of Rajshahi,
Rajshahi-6205, Bangladesh.
·
Md. Menhazul Abedin, Dr. Mohammed Nasser, Md. Shaykhul Islam,
Md. Maniruzzaman (2016). Regression and Classification: An Artificial
Neural Network Approach. Proceedings on Professor Mohammed Nasser Memorial
Seminar Statistics and Bioinformatics for Sustainable Development, 13 March
2016, organized by the Department of Statistics, University of Rajshahi,
Rajshahi-6205, Bangladesh.
·
Md. Shaykhul Islam,
Dr. Mohammed Nasser, Md. Menhazul Abedin, Md. Maniruzzaman
(2016). Support Vector Machines for Supervised Learning on Real and Simulated
Data. Professor Mohammed Nasser Memorial Seminar Statistics and Bioinformatics
for Sustainable Development, during the period March 13, 2016, organized by the
Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.
·
Md. Maniruzzaman,
Nishith Kumar, Md. Menhazul Abedin, Md. Jahanur Rahman (2017).
Liver Disease Prediction Using Intelligent Techniques. Proceedings of
International Conference on Bioinformatics and Biostatistics for Agriculture,
Health and Environment. 20-23 January, 2017. ISBN: 978-984-34-0996-6.
·
Md. Menhazul Abedin, Md. Maniruzzaman, Md. Shaykhul Islam, Mohammad
Ali, Benojir Ahammed and N.A.M. Faisal Ahmed (2017). Comparative Study of
Artificial Neural Network Regression and Classical regression. Proceedings of
International Conference on Bioinformatics and Biostatistics for Agriculture,
Health and Environment. 20-23 January, 2017. ISBN: 978-984-34-0996-6.
·
Digital Signal and
Image Processing during 25-26 May, 2012.
·
Environmental Analysis
under Climate Change during 27-28 July, 2012.
·
Training on R
Programming during the period March 22-23, 2013, organized by the Department of
Statistics, University of Rajshahi, Bangladesh.
·
Workshop on
mathematics for machine learning during the period November 13-14, 2014,
organized by the Statistical Learning Group, Department of Statistics,
University of Rajshahi.
·
Workshop on
Advanced R Programming during the period June 5-6, 2015 , organized by the
Department of Statistics, University of Rajshahi, Bangladesh.
·
Training program on
R-programming and Application of R-packages, during the period June 20-30,
2015, organized by the Department of Statistics, University
of Rajshahi, Bangladesh.
Supervised Thesis and Projects
·
Application of
Multi-Armed Bandit Algorithm for Optimizing the Search Space of Drug-Like
Molecules. By Kazi Sabbir Hossain (M.S.
Thesis 2026).
·
Menstrual Hygiene
Management (MHM) Practices and Health Hazards among Female University Students
in Khulna, Bangladesh. By Nusan Tabassum (M.S.
Thesis 2026).
·
An Assessment of
Knowledge, Attitude and Practice on Menstrual Hygiene Management Among Female
University Students in Khulna: Role of Socio-Demographics and Facility Access.
By Mobashara Munsi Sony (M.S. Thesis 2026).
·
Unveiling the Public
Perceptions of Thalassemia and Hepatitis B: Application of Canonical
Correlation Analysis (CCA) and Chi-Square Tests. By Md. Khalilur Rahman
Mohammaed Abrar Jawad Arnob (B.Sc. Project 2025).
·
Non-communicable
disease in Bangladeshi women: Finding prevalence and determinants. By Sakib Mghol,
Faiza Akter (B.Sc. Project 2025).
·
Sterilization among
Bangladeshi women of reproductive-age: A statistical perspective using BDHS
2022 Data. By Md. Tahrim Hossain (M.S.
project 2025).
·
Assessing the
Influence of Women’s Empowerment on Fertility Preferences in Bangladesh, India,
and Pakistan: Insights from Recent Demographic and Health Surveys. By Anamika
Chakrabarty (M.S. Thesis 2025).
·
Blind Source Separation
for Audio Based on Independent Component Analysis. By Kamrul Hassan (M.S. Thesis 2019).
·
Study on Medical Waste
Management in Khulna City: Knowledge, Practices and Possible Barriers. By Lokesh
Ray, Fojaiel Hossain, Tabassum Mehedi (B.Sc.
Project).
·
Reliable factors of
delivery by assistance of untrained traditional birth attendant in
Bangladesh. By Mohd. Mohaiminul Islam (M.S.
project).
·
Factors affecting
contraceptive use in Bangladesh: A comparison study of Bangladesh Demographic and
Health Survey, 2011-2014. By Md. Najmus Salehin (M.S. project).
·
Amplitude of Vitamin A
Supplementation and Liable Factors Determination Using
Multilevel Discourse in Bangladesh. By Sabreena Hossain Chaity (M.S. project).
·
Satisfaction with
work-family balance among bankers: A case-study in Khulna city. By Mir Zubaer
Ahmed, Mst. Farzana Akter Reshmi and Sheikh Rayhanul Islam (B.Sc. Project).
·
Relationship among mental health variables:
Comparison between facebook users and non-users in Khulna
university. (B.Sc. Project). Kamrul Hassan Koushik, Md. Mohaiminul
Turzo and Sawda Yeasmin (B.Sc.
Project).
·
Influencing factors
for facebook use and impact of facebook usage on academic activities: A case
study in Khulna university. By Biva Biswas and Tasnim Shuchi (B.Sc. Project).
To know more about my research please visit Google Scholar and Researchgate .
Multivariate Analysis-IRunning |
Multivariate Analysis-IIRunning |
Discrete Probability DistributionRunning |
Order Statistics and Non Central Sampling DistributionRunning |
- Multivariate Analysis-I
- Multivariate Analysis-II
- Discrete Probability Distribution
- Order Statistics and Non Central Sampling Distribution