Syed Md. Minhaz Hossain
Assistant Professor, Department of Computer Science and Engineering
Premier University, Chattogram
minhaz.hossain@puc.ac.bd; minhazpuccse@gmail.com
I would like to build
myself as a successful IT professional and would also like to let myself be
dedicated to the path of skillful learning where my knowledge will be mostly
valued. I do believe that the teaching profession is related to industrial
skills and vice versa. Therefore, it is my job to create an environment to
merge the knowledge in a way that a student can appear in the society as a
complete personality and can take responsibility as a citizen of Bangladesh.
2021-2022 - (Cont.) | PhD | Computer Science and Engineering(Cont.) Chittagong University of Engineering and technology Chattogram, Bangladesh |
2017-2018 -February 2022 | Master of Science | Computer Science and Engineering Chittagong University of Engineering and technology Chattogram, Bangladesh |
September 2008 | Bachelor of Science | Computer Science and Engineering Chittagong University of Engineering and technology Chattogram, Bangladesh |
Academics
July20, 2017 to present | Assistant Professor| Department of CSE Premier University, Chattogram |
January 17, 2009 to July 19, 2017 | Lecturer | Department of CSE BGC Trust University,Bangladesh Chattogram, Bangladesh |
Ref:https://www.webofscience.com/wos/op/peer-reviews/summary
Organization | Title of the consultancy/research project |
Pharmik | Advisor of IT and Software |
Outsbook (https://school.outsbook.com/) | Programming Contest Coordinator |
Bangladesh Muktisangram o Muktijuddha Gobeshona Kendra Trust Chittagong https://www.mjgobeshona.org/ | IT Advisor (2012-2018) |
Publications
1. Tarakashar Das, Sabrina Mobassirin, Syed Mohammod Minhaz Hossain (corresponding author), Aka Das, Anik Sen, Khaleque Md. Aashiq Kamal and Kaushik Deb, “Patient Questionnaires Based Parkinson's Disease Classification Using Artificial Neural Network.”, Annals of data science, Springer (2023): Impact Score: 2.77, Scopus indexed, Q2. https://doi.org/10.1007/s40745-023-00482-4
2. Mahabuba Akhter, Syed Mohammod Minhaz Hossain (corresponding author), Rizma Sijana Nigar, Srabanti Paul, Khaleque Md. Aashiq Kamal, Anik Sen and Iqbal H.Sarker, “COVID-19 Fake News Detection using Deep Learning Model.”, Annals of data science, Springer (2023): Impact Score: 2.77, Scopus indexed, Q2 (Under review)
3. Md. Ripaj Uddin, Mayeen Uddin Khandaker, Shamim Ahmed, Md Jainal Abedin, Syed Mohammod Minhaz Hossain, Muhammad Abdullah Al Mansur, Shakila Akter, Md. Ahedul Akbor, Md. Abu Bakar Siddique, AHM Shofiul Islam Molla Jamal, D.A. Bradley, “Assessment of Coastal River Water Quality in Bangladesh: Implications for Drinking and Irrigation Purposes.”, PLoS ONE, Public Library of Science, United States (2023): Impact Factor: 3.75, SCIE, Q1 (Under review)
4. Ariful Islam, Rezaul Karim, Jainal Abedin, Mayeen Uddin Khandaker, Ripaj Uddin,Syed Md. Md. Minhaz Hossain, Shuvo Karmakar, Nurul Huda Bhuiyan, Mohammad Moniruzzaman, “ Assessment of seasonal variation of heavy metal pollution and concomitant ecological risk in surface sediments at the Karnaphuli River confluences of Chattogram, Bangladesh.”, Regional Studies in Marine Science, Elsevier (2023): Impact Factor: 2.166, SCIE, Q2 (Under review)
5. Md Shihab Hossain, Kaushik Deb, Syed Md. Md. Minhaz Hossain, Kang-Hyun Jo, “Daily Living Human Activity Recognition using Deep Neural Networks.”, The International Workshop on Intelligent Systems August 09-11, 2023, Ulsan, Republic of Korea (Accepted, yet not published)
6. Khalid Been Badruzzaman Biplob, Abu Kowshir Bitto, Amit Chowdhury, Md. Hasan Imam Bijoy, Aka Das and Syed Md. Minhaz Hossain “Suicidal Ratio Prediction Among the Continent of World: A Machine Learning Approach.”, In Proc. of INTERNATIONAL CONFERENCEON ARTIFICIAL INTELLIGENCE AND APPLICATIONS (ICAIA-2023) April 21-22, 2023 (Hybrid Mode). 10.1109/ICAIA57370.2023.10169618
7. Sabrina Tarannum, Syed Mohammod Minhaz Hossain (corresponding author), and Taufique Sayeed. “Cyber Security Issues: Web Attack Investigation.”, In Proc. of 18th Information Assurance and Security 2022 (IAS-2022), Online, Book Chapter - Lecture Notes in Networks and Systems: Scopus indexed, DBLP indexed, Conference rank: C (Core). https://doi.org/10.1007/978-3-031-27409-1_115
8. Samar Das, Omlan Hasan, Anupam Chowdhury, Sultan Md Aslam and Syed Mohammod Minhaz Hossain (corresponding author), “An Automatic Detection of Heart Block from ECG Images Using YOLOv4.”, In Proc. of Hybrid Intelligent Systems 2022 (HIS-2022), Online, Book Chapter - Lecture Notes in Networks and Systems, vol 371., pp. 106-116, Springer (2022): Scopus indexed, DBLP indexed, Conference rank: C (Core). https://doi.org/10.1007/978-3-031-27409-1_90
9. Md Ripaj Uddin, Mayeen Uddin Khandaker, Nahida Akter, Md. Farid Ahmed, Syed Mohammod Minhaz Hossain, Dr. Abdul Gafur, Md Jainal Abedin, Md. Aminur Rahman, Abubakr M. Idris, “Identification and Economic Potentiality of Mineral Sand Resources of Hatiya Island, Bangladesh.”, Minerals, MDPI (2022): Impact Factor: 2.818, SCIE indexed, Q2, https://doi.org/10.3390/min12111436
10. Syed Mohammod Minhaz Hossain, Anik Sen, Kaushik Deb and Kang-Hyun Jo. “Detecting Spam SMS using Self Attention Mechanism”, ICO 2022, Book Chapter - Lecture Notes in Networks and Systems (2022), Scopus indexed, https://doi.org/10.1007/978-3-031-19958-5_17
11. Syed Mohammod Minhaz Hossain (corresponding author), Jayed Akbar Sumon, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, Anik Sen, Iqbal H. Sarker, “Sentiment Analysis from Reviews for Movie Recommendation using Deep Neural Networks”, ICO 2022, Book Chapter - Lecture Notes in Networks and Systems (2022), Scopus indexed, https://doi.org/10.1007/978-3-031-19958-5_37
12. Dhrubajyoti Das, Anik Sen, Syed Mohammod Minhaz Hossain, and Kaushik Deb, “Classification of Outdoor Trash Using Deep Neural Networks”, ICO 2022, Book Chapter - Lecture Notes in Networks and Systems (2022), Scopus indexed, https://doi.org/10.1007/978-3-031-19958-5_53
13. Maisha Maimuna, Syed Mohammod Minhaz Hossain, and Kaushik Deb, “Masked Face Inpainting using GAN Architecture”, ICO 2022, Book Chapter - Lecture Notes in Networks and Systems (2022), Scopus indexed, https://doi.org/10.1007/978-3-031-19958-5_25
14. Anik Sen, Syed Mohammod Minhaz Hossain, Russo Mohammad Ashraf Uddin, Kaushik Deb and Kang-Hyun Jo. “Fine-Grained Soccer Actions Classification Using Deep Neural Network.”, 15th IEEE International Conference on Human System Interaction 2022 (HIS-2022), Melbourne, Australia (2022), Scopus Indexed, Conference rank: C (Core), https://ieeexplore.ieee.org/document/9869480.
15. Md. Jainal Abedin, Mayeen Uddin Khandaker, Md. Ripaj Uddin, Md. Rezaul Karim, M. Shahab Uddin Hamad, Md. Ariful Islam, Abu Mohammad Arif, Syed Mohammod Minhaz Hossain, A. Suleiman, Abubakr M. Idris, “Amassing the Covid-19 driven PPE wastes in the dwelling environment of Chittagong Metropolis and associated health implications.”, Chemosphere, volume: 297 (2022):pp. 134022, Elsevier, United Kingdom: Impact Factor: 8.943, SCIE, Q1, https://doi.org/10.1016/j.chemosphere.2022.134022.
16. Anik Sen, Syed Mohammod Minhaz Hossain, Russo Mohammad Ashraf Uddin, Kaushik Deb and Kang-Hyun Jo. “Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory.”, In Proc. of International Workshop on Frontiers of Computer Vision 2022, Ibusuki, Japan, Book Chapter - Communications in Computer and Information Science, volume: 1578, pp. 312-324, Springer (2022): Scopus indexed, DBLP indexed https://doi.org/10.1007/978-3-031-06381-7_22
17. Syed Mohammod Minhaz Hossain, Jayed Akbar Sumon, Anik Sen, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, and Iqbal H. Sarkar. “Spam Filtering of Mobile SMS using CNN-LSTM based model.”, In Proc. of Hybrid Intelligent Systems 2021 (HIS-2021), WA, USA, Book Chapter - Lecture Notes in Networks and Systems, vol 371., pp. 106-116, Springer (2022): Scopus indexed, DBLP indexed, Conference rank: C (Core), https://doi.org/10.1007/978-3-030-96305-7_10
18. Syed Md. Minhaz Hossain, Khaleque Md. Aashiq Kamal, Anik Sen, and Kaushik Deb. “Tomato Leaf Disease Recognition using Depthwise Separable Convolution.”, In Proc. of Intelligent Computing and Optimization 2021(ICO-2021),Hua Hin, Thailand, Book Chapter - Lecture Notes in Networks and Systems, vol 371.,pp. 340-351, Springer (2022): Scopus indexed, https://doi.org/10.1007/978-3-030-93247-3_33.
19. Syed Mohammod Minhaz Hossain, Khaleque Md. Aashiq Kamal, Anik Sen, and Iqbal H. Sarkar. “TF-IDF Feature-based Spam Filtering of Mobile SMS using Machine Learning Approach.”, In Proc. of Big Data, IoT and Machine Learning 2021 (BIM 2021), Book Chapter - Applied Intelligence for Industry 4.0, Taylor and Francis (2021): Scopus indexed. https://doi.org/10.1201/9781003256083
20. Nusrat Jahan Euna, Syed Mohammod Minhaz Hossain, Md Musfique Anwar and Iqbal H Sarker. “Content-based Spam Email Detection Using N-gram Machine Learning Approach.”, In Proc. of Big Data, IoT and Machine Learning 2021 (BIM 2021), Book Chapter - Applied Intelligence for Industry 4.0, Taylor and Francis (2021): Scopus indexed. https://doi.org/10.1201/9781003256083
21. Syed Mohammod Minhaz Hossain, Kaushik Deb, Pranab Kumar Dhar, and Takeshi Koshiba. “Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models.”, Symmetry 13.3 (2021): pp. 511, MDPI, Impact Factor: 2.94, SCIE, Q2, https://doi.org/10.3390/sym13030511.
22. Rony Chowdhury Ripan, Iqbal H Sarker, Syed Mohammod Minhaz Hossain, Md Musfique Anwar, Raza Nowrozy, Mohammed Moshiul Hoque and Md Hasan Furhad. “A data-driven heart disease prediction model through K-means clustering-based anomaly detection.”, SN Computer Science, volume:2 (2021): pp. 1-12, Springer, Singapore: Scopus indexed, DBLP indexed https://doi.org/10.1007/s42979-021-00518-7.
23. Syed Mohammod Minhaz Hossain and Kaushik Deb. “Plant Leaf Disease Recognition Using Histogram Based Gradient Boosting Classifier.”, In Proc. of Intelligent Computing and Optimization 2020 (ICO-2020), Koh Samui, Thailand, Book Chapter - Advances in Intelligent Systems and Computing, volume:1324, pp. 530-545, Springer (2021). https://doi.org/10.1007/978-3-030-68154-8_47.
24. Syed Mohammod Minhaz Hossain, Md. Monjur Morhsed Tanjil, Mohammed Abser Bin Ali, Mohammad Zihadul Islam, Md. Saiful Islam, Sabrina Mobassirin, Iqbal H. Sarker and S. M. Riazul Islam. “Rice Leaf Diseases Recognition Using Convolutional Neural Networks.”, In Proc. of Advanced data mining and Applications 2020 (ADMA 2020), Foshan, China, Book Chapter - Advanced Data Mining and Applications, volume:12447, pp. 299-312, Springer (2021): Scopus indexed, DBLP indexed, Conference rank: B (Core) https://doi.org/10.1007/978-3-030-65390-3_23.
25. Syed Mohammod Minhaz Hossain and Kaushik Deb. “Plant Disease Detection by Leaf Image Classification using Ensemble Learning.”, The 1st International Workshop on Intelligent Systems (IWIS 2020), Ulsan, Korea (2020).
26. Hamed Alqahtani, Iqbal H Sarker, Asra Kalim, Syed Mohammod Minhaz Hossain, Sheikh Ikhlaq and Sohrab Hossain. “Cyber intrusion detection using machine learning classification techniques.”, In Proc. of Computing science, Communication and Security 2020 (COMS2 2020), Gujarat, India Book Chapter - Communications in Computer and Information Science, Volume:1235, pp. 121-131, Springer (2020): https://doi.org/10.1007/978-981-15-6648-6_10.
27. Md Faisal Faruque, Asaduzzaman, Syed Mohammod Minhaz Hossain, Md Hasan Furhad and Iqbal H Sarker. “Predicting Diabetes Mellitus and Analyzing Risk-Factors Correlation.”, EAI Endorsed Transactions on Pervasive Health and Technology, volume:5 (2019): EAI, Belgium, Impact Score: 1.68, Q3, Scopus indexed, DBLP indexed http:://doi: 10.4108/eai.13-7-2018.164173
28. Farzana Yasmin, Syed Mohammod Minhaz Hossain and Mohammad Shamsul Arefin. “APSD: A Framework for Automated Processing of Survey Documents.”, In Proc. of International Conference on Electrical, Computer and Communication Engineering (ECCE), of Chittagong University of Engineering & Technology (CUET), Cox's Bazar (2017), pp. 411-416: Scopus indexed, 10.1109/ECACE.2017.7912940.
29. Khandakar Tareq Alam, Syed Mohammod Minhaz Hossain and Mohammad Shamsul Arefin. “Developing a Framework for Analyzing Social Networks to Identify Human Behaviours.”, In Proc. Of 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi-6204, Bangladesh (2016), pp. 1-4: Scopus indexed, 10.1109/ICECTE.2016.7879589
Certifications
Trainings
Deep Learning, Image Processing, Natural
Language Processing, Interpretable Machine Learning, Machine Learning