Profile of Md. Sohrawordi
Md. Sohrawordi
Associate Professor
Department of Computer Science and Engineering (CSE)
Faculty of Computer Science and Engineering
Hajee Mohammad Danesh Science & Technology University, Dinajpur.
E-mail: mdsohrawordi@hstu.ac.bd
Mobile: +8801722980888
CAREER OBJECTIVE
- To obtain a position in a research environment where I can maximize my educational and training experience and enhance my capabilities to research, teach, and develop new technologies for mankind.
RESEARCH INTEREST
- Bioinformatics, Biomedical, Image Processing, Artificial Intelligence, Deep Learning, Data Mining, cryptography
EDUCATION
- M.Sc. Engineering in CSE, 2022
Rajshahi University of Engineering & Technology (RUET), Rajshahi-6204
- B.Sc. in Computer Science and Engineering, 2013
Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200
- Higher Secondary Certificate, 2008
Dinajpur Govt. College, Dinajpur, Bangladesh
- Secondary School Certificate, 2006
Nashratpur Pally Unnayan Adarsha High School, Chirirbandar, Dinajpur, Bangladesh
PROFESSIONAL EXPERIENCES
- Assistant Professor
Hajee Mohammad Danesh Science and Technology University, Dinajpur, BangladeshMay 03, 2019 to Present
- Lecturer
Hajee Mohammad Danesh Science and Technology University, Dinajpur, BangladeshMay 02, 2016 to May 02, 2019
PUBLICATIONS
Journal Papers
Read MoreMd Sohrawordi and Md Ali Hossain, “Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques”, Biochimie ( IF= 4.372, SCIE, Q1) , Vol. 192, PP. 125-135, 2022, DOI: https://doi.org/10.1016/j.biochi.2021.10.001.
Read MorePankaj Bhowmik, Pulak Chandra Bhowmik, U A Md Ehsan Ali, and Md. Sohrawordi, “Cardiotocography Data Analysis to Predict Fetal Health Risks with Tree-Based Ensemble Learning”, International Journal of Information Technology and Computer Science, vol.13, no.5 pp.30-40,2021, DOI: 10.5815/ijitcs.2021.05.03.
Read MoreU A Md Ehsan Ali, Emran Ali, Md Sohrawordi, and Nahid Sultan, “A LSB Based Image Steganography Using Random Pixel and Bit Selection for High Payload”, International Journal of Mathematical Sciences and Computing, vol. 7, no.3, pp.24-31,2021, DOI: 10.5815/ijmsc.2021.03.03.
Read MoreMd. Sohrawordi, U A Md Ehsan Ali, Md. Palash Uddin, and Md. Mahabub Hossain, “A Modified Round Robin CPU Scheduling Algorithm with Dynamic Time Quantum”, International Journal of Advanced Research (IJAR), vol. 7, no. 2, pp. 422-429, 2019.
Read MoreU A Md Ehsan Ali, Md. Sohrawordi, Md. Palash Uddin, “A Robust and Secured Image Steganography using LSB and Random Bit Substitution”, American Journal of Engineering Research (AJER). Vol. 8, no. 2, pp.39-44, 2019.
Read MoreAbir Chandra Roy, Md. Abdullah Al Mamun, Khairat Hossain, Md. Ariful Islam, Md. Palash Uddin, Masud Ibn Afjal and Md. Sohrawordi, Developing Operating System Simulation Software for Windows-Based System by C# .NET Framework and an Android Application by JAVA and XML, Journal of Operating Systems Development & Trends (JoOSDT), Volume-04, Issue-1, pp-9-18, 2017.
Read MoreMd. Sohrawordi, Md. Murad Hossain, Md. Palash Uddin, Adiba Mahjabin Nitu, and Md. Rashedul Islam, Android-based Walking Assistant for Blind and Low-vision People Suggesting the Shortest Path using Floyd-Warshall Algorithm, Journal of Innovation & Development Strategy, Vol. 9, no. 2, pp. 62-69,2015.
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Conference Papers
A. R. Bhuyain, J. Ferdouse, M. H. Babar, M. Sohrawordi and M. R. Islam "An Efficient Feature Optimization Approach with Machine Learning for Detection of Major Depressive Disorder Using EEG Signal," 2023 26th International Conference on Computer and Information Technology (ICCIT), IEEE Xplore, Cox's Bazar, Bangladesh, 2023.
Read MoreA. B. Rahman, M. Islam, M. R. Islam, M. Sohrawordi and M. N. Sultan, "Enhanced Brain Tumor Classification from MRI Images Using Deep Learning Model," 2023 26th International Conference on Computer and Information Technology (ICCIT), IEEE Xplore, Cox's Bazar, Bangladesh, 2023.
Read MoreM. Babar, A. Bhuyain and J. Ferdouse, Md. Sohrawordi, E. Ali, "Optimal Feature Identification and Major Depressive Disorder Prediction through Correlation-Based Machine Learning Approach," 2023 6th International Conference on Electrical Information and Communication Technology (EICT), IEEE Xplore, Khulna, Bangladesh, 2023.
Read MoreM. R. Islam, M. T. Islam and M. Sohrawordi, "Selective HybridNET: Spectral-Spatial Dimensionality Reduction for HSI Classification," 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-5, doi: 10.1109/ECCE57851.2023.10101534.
Read MoreM. T. Islam, M. Kumar, M. R. Islam and M. Sohrawordi, "Spectral-Spatial Feature Reduction for Hyperspectral Image Classification with Optimized Technique Series," 2022 12th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2022, pp. 256-259, doi: 10.1109/ICECE57408.2022.10088705.
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Read MoreMd. Sohrawordi and Md. Al Mehedi Hasan, “LyFor: Prediction of lysine formylation sites from sequence-based features using support vector machine,” 2020 IEEE Region 10 Symposium (TENSYMP), 2020.
Read MoreP. Bhowmik, M. Sohrawordi, U A M. Ehsan Ali, M. N. Hasan, and P. K. Roy, “Analysis of Social Media Data to Classify and Detect Frequent Issues Using Machine Learning Approach,” 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), 2020.
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Books
Pankaj Bhowmik, Md. Sohrawordi, U A Md Ehsan Ali, and Pulak Chandra Bhowmik, “An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning”, Bangabandhu and Digital Bangladesh. ICBBDB 2021. Communications in Computer and Information Science, vol 1550. Springer, Cham. https://doi.org/10.1007/978-3-031-17181-9_14 .
Read MoreMd Sohrawordi and Md Ali Hossain, “Incorporation of Kernel Support Vector Machine for Effective Prediction of Lysine Formylation from Class Imbalance Samples”, International Conference on Big Data, IoT and Machine Learning (BIM), 2021
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PROJECTS
- Incorporation of Deep Learning Classifier for Identification of Lysine Phosphoglycerylation in Protein Using Multiple Sequence-Based Features.
Funded by: Institute of Research and Training (IRT) of HSTU
Position: Principle Investigator
Description: FY 2021-2022; Completed
- Prediction of Formylated Lysine Site from Protein Sequence Using Support Vector Machine Classifier.
Funded by: Institute of Research and Training (IRT) of HSTU
Position: Principle Investigator
Description: FY 2020-2021; Completed
- Lysine Acetylation Site Identification Using Multi-Source Features of Amino Acid Sequences
Funded by: Institute of Research and Training (IRT) of HSTU
Position: Principle Investigator
Description: FY 2019-2020; Completed
SOCIAL NETWORK
- Google Scholar Profile
URL: https://scholar.google.com/citations?user=rfI19eMAAAAJ&hl=en
- ResearchGate Profile