Assoc. Prof. Dr. Syed Mohammod Minhaz Hossain, Premier University, Bangladesh
Syed Mohammod Minhaz Hossain is a passionate researcher and IT professional dedicated to advancing the field of Computer Science and Engineering. He is currently pursuing a Ph.D. in Computer Science & Engineering at Chittagong University of Engineering & Technology (CUET). With a strong academic background, he earned his M.Sc. and B.Sc. in Computer Science & Engineering from CUET, securing notable positions. Hossain is committed to skillful learning and aims to create a synergy between industry and academia. He has published numerous research papers and contributed significantly to the scientific community, particularly in the areas of AI, machine learning, and environmental studies. Apart from his academic journey, he is a fervent advocate of education, believing in the power of teaching to shape well-rounded professionals who can contribute to society’s progress.
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Suitability of Syed Mohammod Minhaz Hossain for the Research for Best Researcher Award:
Syed Mohammod Minhaz Hossain demonstrates strong academic and professional qualifications, making him a highly suitable candidate for the Research for Best Researcher Award. His dedication to academic excellence and research is reflected in his substantial academic achievements, including a Ph.D. in Computer Science and Engineering from Chittagong University of Engineering & Technology (CUET), and his outstanding undergraduate and postgraduate performance. His consistent recognition, such as the UGC Ph.D. Fellowship and multiple scholarships, underscores his commitment to research and academic growth.
Hossain has made notable contributions to the research community, particularly in the fields of artificial intelligence, machine learning, and environmental science. His extensive publication record includes numerous articles in high-impact journals such as PLoS ONE, Chemosphere, and Annals of Data Science, with a variety of topics ranging from water quality assessments to disease classification and COVID-19 detection using deep learning. His research not only focuses on technological advancements but also addresses pressing societal challenges, such as public health, environmental sustainability, and cybersecurity.
Education
Syed Mohammod Minhaz Hossain’s academic journey is marked by consistent excellence. He is currently pursuing his Ph.D. in Computer Science & Engineering at Chittagong University of Engineering & Technology (CUET). Prior to that, he completed his M.Sc. in Computer Science & Engineering at CUET in 2022, where he earned a CGPA of 3.42. He also holds a B.Sc. in the same field from CUET, securing a remarkable CGPA of 3.56. His foundation in education started at Chittagong Collegiate School, where he excelled with a GPA of 4.63 in his SSC and later earned a GPA of 4.50 in his HSC at Chittagong College. Throughout his academic career, Hossain has received multiple scholarships, including the UGC PhD Fellowship (2021-2022) and various merit-based awards, underlining his dedication and outstanding performance in the field of Computer Science.
Professional Experience
Syed Mohammod Minhaz Hossain’s professional experience blends academia and industry, underscoring his passion for teaching and research. As a faculty member at Premier University, Bangladesh, Hossain conducts web system and program applications courses, integrating real-world industry skills into the classroom. His expertise is further demonstrated through his role in various research projects, focusing on areas such as artificial intelligence, deep learning, and environmental science. Hossain’s experience includes collaborating with international researchers, contributing to high-impact journals and conferences. His role in designing and developing academic curricula reflects his commitment to fostering future IT professionals who are not only skilled but also socially responsible. Additionally, Hossain’s involvement in the University of Technology, Sydney (UTS) College’s academic programs highlights his global outlook and the application of advanced research in practical teaching settings.
Awards and Recognitions
Syed Mohammod Minhaz Hossain’s journey is characterized by numerous academic and research accolades. He received the prestigious UGC PhD Fellowship for 2021-2022, showcasing his commitment to advancing knowledge in Computer Science. Hossain earned the fourth position in his B.Sc. at CUET and was a recipient of the Board Scholarship in his HSC in 2003. He was also honored with the Junior Merit Scholarship in 1998 and the Primary Merit Scholarship in 1995, underlining his consistent academic excellence from an early age. His research contributions have been widely recognized, with multiple publications in high-impact journals such as PLoS ONE, Annals of Data Science, and Chemosphere. Furthermore, Hossain’s work on machine learning models for health-related issues and his involvement in international book chapters reflect his growing influence in the global research community.
Syed Mohammod Minhaz Hossain possesses a broad range of research skills that span artificial intelligence, machine learning, deep learning, and data science. His expertise includes applying these advanced technologies to solve complex problems in areas like health diagnostics, environmental monitoring, and cybersecurity. Hossain has developed proficiency in using deep neural networks, self-attention mechanisms, and convolutional models, as seen in his research on plant leaf disease recognition and heart disease prediction. Additionally, he has contributed to studies focused on the detection of COVID-19 fake news, Parkinson’s disease classification, and coastal water quality assessment. His research methodology includes leveraging large datasets, conducting statistical analyses, and employing advanced algorithms to create efficient and scalable solutions. Hossain’s ability to integrate interdisciplinary knowledge into his projects further enhances his capability to make impactful contributions to both academic and practical fields.
Publication Top Notes
- Cyber Intrusion Detection Using Machine Learning Classification Techniques
- Authors: H Alqahtani, IH Sarker, A Kalim, SMM Hossain, S Ikhlaq, S Hossain
- Citations: 189
- Year: 2020
- A Data-Driven Heart Disease Prediction Model Through K-Means Clustering-Based Anomaly Detection
- Authors: RC Ripan, IH Sarker, SMM Hossain, MM Anwar, R Nowrozy, MM Hoque
- Citations: 66
- Year: 2021
- Rice Leaf Diseases Recognition Using Convolutional Neural Networks
- Authors: SMM Hossain, MMM Tanjil, MAB Ali, MZ Islam, MS Islam, S Mobassirin
- Citations: 49
- Year: 2021
- Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models
- Authors: SMM Hossain, K Deb, PK Dhar, T Koshiba
- Citations: 34
- Year: 2021
- Amassing the Covid-19 Driven PPE Wastes in the Dwelling Environment of Chittagong Metropolis and Associated Implications
- Authors: MJ Abedin, MU Khandaker, MR Uddin, MR Karim, MSU Ahamad
- Citations: 22
- Year: 2022
- Assessment of Coastal River Water Quality in Bangladesh: Implications for Drinking and Irrigation Purposes
- Authors: MR Uddin, MU Khandaker, S Ahmed, MJ Abedin, SMM Hossain
- Citations: 13
- Year: 2024
- Spam Filtering of Mobile SMS Using CNN–LSTM Based Deep Learning Model
- Authors: SMM Hossain, JA Sumon, A Sen, MI Alam, KMA Kamal, H Alqahtani
- Citations: 13
- Year: 2021
- Plant Leaf Disease Recognition Using Histogram-Based Gradient Boosting Classifier
- Authors: SMM Hossain, K Deb
- Citations: 13
- Year: 2021
- Content-Based Spam Email Detection Using an N-gram Machine Learning Approach
- Authors: NJ Euna, SMM Hossain, MM Anwar, IH Sarker
- Citations: 9
- Year: 2023
- Trash Image Classification Using Transfer Learning-Based Deep Neural Network
- Authors: D Das, A Sen, SMM Hossain, K Deb
- Citations: 9
- Year: 2022