Mr. Md. Sayeed Iftekhar Yousuf
Mr. Md. Sayeed Iftekhar Yousuf

Assistant Professor Contact No : +8801817115629
Department of Computer Science and Mathematics Email : imsayeed@bau.edu.bd
Faculty of Agricultural Engineering & Technology
 
Research Interest:   Relativity, Cosmology, Image Processing, Machine Learning, Agriculture ICT, BioComputing.
M. S. In Computer Science
Bangladesh Agricultural University, Mymensingh
Bangladesh
M. Phil In Mathematics
University of Chittagong
Bangladesh
M.S. In Mathematics
University of Chittagong
Bangladesh
B.Sc (Hon's) In Mathematics
University of Chittagong
Bangladesh
H.S.C
Kasba T. Ali Degree College
Bangladesh
S.S.C
Kasba Govt. High School
Bangladesh
Total Number:  3
 
  • Ensuring Automated Security in Close Water (Pond) Fish Cultivation.

Details: In our study, we proposed a novel technique to detect and supervise illegal fishing by using automatic video surveillance technique. This technique aims at detecting the presence of abandoned objects in a protected fisheries area and at automatically performing online semantic video segmentation in order to facilitate the human operator’s task of retrieving the cause of an alarm. This task is performed by operating image segmentation based on temporal rank-order filtering followed by classification using convolutional neural network (CNN) in order to reduce false alarms. In our system, the key frame is the one whether an object like human with or without fishhook or net is moving in protected fisheries area. We used image processing technique for detecting the foreground object and deep learning for classification of moving object.

 

  • Automatic paddy seed variety identification using Haralick texture features.

Details: This research is aimed at developing an automated system to identify paddy varieties by using multiple heterogeneous features extracted exploiting external, physical and textural properties. The external and physical features are extracted using the color and physical properties of paddy seed while the textural features are estimated by Haralick technique. These features are utilized to train feed forward neural network (FNN) to predict the paddy variety.

 

  • IoT Enabled Agricultural Storage Monitoring.

Details: In our study, we proposed a system to monitor all agricultural item during the period of storage. It informs the user if the storage suffers from any difficulties like abrupt temperature or humidity changes. 

Total Number:  3
 

1. Teaching Methods and Techniques

Duration: 12 days

Place: Graduate Training Institute (GTI), Bangladesh Agricultural University, Mymensingh.

 

2. Foundation Training for University Teachers

Duration: 26 days

Place: Graduate Training Institute (GTI), Bangladesh Agricultural University, Mymensingh.

 

3. Teaching, Learning and Curricula Development

Duration: 7 days

Place: Faculty of Agricultural Engineering and Technology, 

Bangladesh Agricultural University, Mymensingh.

Organized by the HEQEP sub-project.

Assistant Professor
21 Jan, 2016 -
Lecturer
21 Jan, 2014 - 20 Jan, 2016
Total Number:  6
 

Mohammad Aminul Islam, M. S. I. Yousuf, M. M. Billah. “Automatic Plant Detection using HOG And LBP Features with SVM.” International Journal of Computer (IJC), [S.l.], v. 33, n. 1, p. 26-38, apr. 2019. ISSN 2307-4523.

Jaionto Karmokar, M. S. I. Yousuf, M. M. Billah and M. A. Haque. "The Numerical Analysis of 2D Laminar Forced Convective Flow of Viscous Fluid over a Flat Plate" Journal of Computer and Mathematical Sciences, Vol.10(3),524-533 March 2019.

M. Uddin, H. L. Gope, M. S. I. Yousuf, D. Islam, M. K. Islam, Crowd Detection in Still Images Using Combined HOG and SIFT Feature, Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), Vol. 4, No. 2, August 2016, 447-458.

M. A. Islam, G. M. W. Ullah, M. S. I. Yousuf, Anisotropic Bianchi Type-I Cosmological Model for Viscous Fluid in a Modified Brans-Dicke Cosmology, ARPN Journal of Engineering and Applied Science, Vol. 9, No. 9, September 2014, 1615-1620.

M. S. I. Yousuf, M. A. Islam, M. A. A. Mahbub, M. M. Hasan, A New Class of Bianchi Type I Cosmological Model for Bulk Viscous Barotropic Fluid with Variable ˄-Term in General Rilativity, International Journal of Physics and Research, Vol. 4, Issue 4, Jun 2014, 45-52.

M. A. Islam, M. S. I. Yousuf, Solution of Einstein’s Equations for Radiating Relativistic Matter in Geodesic Motion, The Chittagong Univ. J. Sci. Vol. 34, 115-134 (2011).

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