Md. Motiur Rahman | Chattogram Veterinary and Animal Sciences University

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

artificial intelligence , machine learning , data science , bioinformatics , machine learning in veterinary

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

Dr. AMAM Zonaed Siddiki
Professor
Department of Pathology and Parasitology
Faculty of Veterinary Medicine

Dr. Ashutosh Das
Professor
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.

Research Portfolio