Rajshahi University of Engineering & Technology (RUET), Rajshahi-6204

Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200

Dinajpur Govt. College, Dinajpur, Bangladesh

Nashratpur Pally Unnayan Adarsha High School, Chirirbandar, Dinajpur, Bangladesh

May 03, 2019 to Present

May 02, 2016 to May 02, 2019

Md 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.

Pankaj 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.

U 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.

Md. 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.

U 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.

Abir 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.

Md. 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.

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.

A. 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.

M. 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.

M. 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.

M. 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.

Md. 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.

P. 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.

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 .

Md 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

Funded by: Institute of Research and Training (IRT) of HSTU

Position: Principle Investigator

Description: FY 2021-2022; Completed

Funded by: Institute of Research and Training (IRT) of HSTU

Position: Principle Investigator

Description: FY 2020-2021; Completed

Funded by: Institute of Research and Training (IRT) of HSTU

Position: Principle Investigator

Description: FY 2019-2020; Completed

URL: https://scholar.google.com/citations?user=rfI19eMAAAAJ&hl=en

URL: https://www.researchgate.net/profile/Md-Sohrawordi

URL: https://www.linkedin.com/in/md-sohrawordi-63184a254/

URL: https://www.facebook.com/profile.php?id=61555872645136