Students

  Teachers

  Staffs

 

Research Portfolio


Md. Motiur Rahman
Assistant Professor
Department of Physical and Mathematical Sciences
Faculty of Food Science and Technology


About
Qualifications
Honours
Publications
Funding


Md. Motiur Rahman is an assistant professor at Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh. He received his MSC (Engineering) degree in computer science and engineering from Dhaka University of Engineering & Technology, Dhaka, Bangladesh researching on deep learning, and his BSC (Engineering) degree in computer science and engineering from Patuakhali Science and Technology University, Patuakhali, Bangladesh with excellent results.  

He is involved in multi-disciplinary research works including applying the power of machine learning to predict and understand the behavior of rainfall in Bangladesh, utilizing the strength of deep learning for improving the efficiency of healthcare system, incorporating artificial intelligence in veterinary field to ease many tasks related to this field, and so on. His research interest includes machine learning, computer vision, data analytics, algorithm optimization, and wireless sensor.



Research Interests



Experience


Teaching
•   Assistant Professor in Department of Physical and Mathematical Sciences, Faculty of Food Science and Technology, CVASU, Chattogram Veterinary and Animal Sciences University from Aug. 8, 2019 to Present
•   Lecturer in Department of Physical and Mathematical Sciences, Faculty of Food Science and Technology, CVASU, Chattogram Veterinary and Animal Sciences University from Aug. 8, 2017 to Aug. 8, 2019
•   Lecturer in Department of Computer Science and Engineering, Dhaka International University, Dhaka International University from March 3, 2016 to Aug. 7, 2017

Administrative
•   Head in Department of Physical and Mathematical Sciences, Chattogram Veterinary and Animal Sciences University from Jan. 12, 2020 to Jan. 3, 2021


Teaching : Current Courses


Undergraduate
Course Name Course Code Department
Computer Application in Food Technology CFT-301 Department of Physical and Mathematical Sciences
Computer Science CSC-101 Faculty of Fisheries
Engineering Drawing END-201 Department of Physical and Mathematical Sciences
Introductory Computer Science ICS-102 Department of Physical and Mathematical Sciences


Contact

Email:
motiur@cvasu.ac.bd
motiurcsepstu@gmail.com

Cell Phone:   01755-040614; 01601-040614

Location

Floor: 4th, Room No: 507, Yousuf Chowdhury Building, Department of Physical and Mathematical Sciences, Faculty of Food Science and Technology,
Khulshi, Chattogram Main Campus.

Find Me on..


Similar to Me

AMAM Zonaed Siddiki
Professor
Department of Pathology and Parasitology
Faculty of Veterinary Medicine
Professor Dr. Ashutosh Das
Head
Department of Genetics and Animal Breeding
Faculty of Veterinary Medicine
Dr Md Ahaduzzaman
Associate Professor
Department of Medicine and Surgery
Faculty of Veterinary Medicine

Qualifications


Educational Qualifications
Degree
Institute
Discipline
Passing Year
M.Sc. (Engg.) in Computer Science and Engineering
Dhaka University of Engineering & Technology (DUET)
Computer Science and Engineering
2019
B.Sc. (Engg.) in Computer Science and Engineering
Patuakhali Science and Technology University (PSTU)
Computer Science and Engineering
2015
HSC
Aziz Ahmed Degree College
Science
2011
SSC
Joygunnesa Secondary School
Science
2009

Honours


Acedemic Awards
  • Chancellor Gold Medal-2016, For achieving the highest CGPA in the session 2015-2016 of CSE faculty, PSTU. Bestowed by Patuakhali Science and Technology University (PSTU).
  •  Prime Minister Gold Medal-2016, For achieving the highest CGPA in session 2015-2016 of CSE faculty, PSTU. Bestowed by the University Grants Commission (UGC) of Bangladesh.
  •  Dean’s Merit Award-2015, For outstanding performance in the fourth year of B.Sc., CSE, PSTU. Bestowed by Faculty of CSE of Patuakhali Science and Technology University (PSTU).
  • Dean’s Merit Award-2014, For outstanding performance in the third year of B.Sc., CSE, PSTU. Bestowed by Faculty of CSE of Patuakhali Science and Technology University (PSTU).

     



Research Grants
  • A Machine Learning Approach for Identifying Pregnancy of Dairy Cattle by Analyzing Their Physical Activities, Principle Investigator, Funded by Ministry of Science and Technology (MOST) of Bangladesh for the fiscal year 2019-2020.
  • A Machine Learning Approach for Real-Time Detection of Blood Glucose Concentration using IR, Principle Investigator, Funded by ICT Ministry of Bangladesh for the fiscal year 2019-2020.
  • An Automated Approach for Dairy Delivery Date Prediction using Artificial Intelligence, Principle Investigator, Funded by Higher Education and Research division, Chattogram Veterinary and Animal Sciences University, Khulshi, Chattogram for the fiscal year 2019-2020
  • An Automated Banana Maturity Classification using Machine Learning with Genetic Algorithm, Principle Investigator, Funded by Ministry of Science and Technology (MOST) of Bangladesh for the fiscal year 2018-2019.

Publications



Publications

Google Scholar: https://scholar.google.com/citations?user=L-yxjAkAAAAJ&hl=en&oi=sra

    • Rahman, M., Saha, I., Islam, D. and Mukti, R.J., 2020. A Deep Learning Approach based on Convolutional LSTM for Detecting Diabetes. Computational Biology and Chemistry, p.107329. https://doi.org/10.1016/j.compbiolchem.2020.107329 [IF-1.85] 
    • Akther, S., Akter, F., Rahman, M. et al. Computational and experimental studies to optimize the extraction of flavonoids from mango powder using response surface methodology. Food Measure 15, 3671–3682 (2021). https://doi.org/10.1007/s11694-021-00945-3 [IF-2.431]
    • Rahman, M. and Siddiqui, F.H. (2021), Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization. ETRI Journal. https://doi.org/10.4218/etrij.2019-0016 [IF-1.094]
    • Rahman, M. and Siddiqui, F.H., 2019. An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM. Symmetry, 11(10), p.1290. https://doi.org/10.3390/sym11101290 [IF-2.645]
    • Rahman, M. and Akter, F., 2018. An Efficient Approach for Web Mining using Semantic Web. International Journal of Education and Management Engineering, 8(5), p.31. DOI:10.5815/ijeme.2018.05.04
    • Rahman, M. and Siddiqui, F, H., 2018. NLP-based Automatic Answer Script Evaluation. Duet journal, vol. 4, pp. 35–42, 12.
    • Barua, S., Mahmud, T. A., Dey, S. K. and Rahman M. M., 2016. Future of social network with collaboration of cloud computing and brain computer interface", Future, vol. 145, no. 14, DOI:10.5120/ijca2016910863
    • Galib S. M., Rahman M. M., Shah A. and Debnath M., 2015. Clustered and smarter web mining using semantic web. 2015 18th International Conference on Computer and Information Technology (ICCIT), Dhaka, pp. 111-115, doi: 10.1109/ICCITechn.2015.7488052


Funding


Current Funding
  • A Machine Learning Approach for Identifying Pregnancy of Dairy Cattle by Analyzing Their Physical Activities, Principle Investigator, Funded by Ministry of Science and Technology (MOST) of Bangladesh for the fiscal year 2019-2020.
  • An Automated Approach for Dairy Delivery Date Prediction using Artificial Intelligence, Principle Investigator, Funded by Higher Education and Research division, Chattogram Veterinary and Animal Sciences University, Khulshi, Chattogram for the fiscal year 2019-2020

Project Completed
  • A Machine Learning Approach for Identifying Pregnancy of Dairy Cattle by Analyzing Their Physical Activities, Principle Investigator, Funded by Ministry of Science and Technology (MOST) of Bangladesh for the fiscal year 2019-2020.
  • An Automated Banana Maturity Classification using Machine Learning with Genetic Algorithm, Principle Investigator, Funded by Ministry of Science and Technology (MOST) of Bangladesh for the fiscal year 2018-2019.

Supervision


Collaboration