Structured Programming, Web programming, Discrete Mathematics, Artificial Intelligence, Software Engineering, System analysis and design, Machine learning

Academic Experience

Head of Department, Computer Science and Engineering, Chittagong Independent University (CIU). July 2022 – Present.

Assistant Professor, Computer Science and Engineering, Chittagong Independent University (CIU). September 2018 – Present.

Lecturer, Computer Science and Engineering, International Islamic University Chittagong (IIUC). October 2014 – September 2018.

Research Assistant, Data Mining and Machine learning lab, King Mongkut’s University of Technology North Bangkok, Thailand. Jun 2012 – Jul 2013

Industry Experience

MIS Executive, Basundhara Group, Bangladesh, Dec 2013 – Aug 2014

IT Executive, Holcim (BD) Limited, Dec 2009 – Aug 2011

Research Gate: https://www.researchgate.net/profile/Risul_Islam_Rasel

Google Scholar: https://scholar.google.com/citations?hl=en&user=Auy6_dgAAAAJ

ORCID ID: 0000-0003-1774-7584

Data mining, Machine learning, Computational intelligence, Natural language processing, Deep learning, and its applications.

Best Honorary Research Paper award at ICAICT 2016, Data Mining and Machine Learning category.

Royal Thai Government scholarship (Master Level, 2011-2013).

Bangladesh Government scholarship (Secondary Level, 2001-2003).

Microsoft® Certified Technology Specialist
Certification Number: E498-6311 Certification/Version: .NET Framework 4, Data Access

Member of IEEE, Bangladesh Section. 2018 – Present.

Risul Islam Rasel, Anowar Hossen Zihad, Nasrin Sultana, Mohammad Moshiul Hoque, “Bangla Fake News Detection using Machine Learning, Deep Learning and Transformer Models”, In: 25th International Conference on Computer and Information Technology (ICCIT), IEEE, December 2022.

Nasrin Sultana, Rehena Sultana, Risul Islam Rasel, Mohammad Moshiul Hoque, “Aspect-Based Sentiment Analysis of Bangla Comments on Entertainment Domain”, In: 25th International Conference on Computer and Information Technology (ICCIT), IEEE, December 2022.

SC Sarkar, A Bashar, MS Mahmud, RI Rasel , “Application of Soft-computing for Time Series Water-Level Prediction in Jamuna River”, In: International Journal of Systematic Innovation, V: 6, I : 6, pp: 13-21, 2021

Sayeda Samia Nasrin and Risul Islam Rasel,“HennaGAN: Henna Art Design Generation using Deep Convolutional Generative Adversarial Network (DCGAN)” In: IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 26-27 December, 2020, Bhubaneswar, India.

“1st-degree Atrioventricular (AV-block) and Bundle Branch Block Prediction using Machine Learning”; In: 11th International Conference on Advances in Information Technology (IAIT2020) [Scopus, ISI Web of Science (Thompson Reuters), Ei- Compendex, indexed]

“Heart Block Prediction using Data mining and Machine Learning”; In: 8th Joint Symposium Computational Intelligence (JSCI8), 2020 [IEEE indexed]

“Spatio-Temporal Seismic Data Analysis for Predicting Earthquake: Bangladesh Perspective”; In: 2019 Research, Invention, and Innovation Congress (RI2C2019), IEEE [Scopus-Elsevier indexed]

“Real-Time Bangla License Plate Recognition System using Faster R-CNN and SSD: A Deep Learning Application”; In: IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), IEEE. [Scopus-Elsevier indexed]

R.I. Rasel, N Sultana, S Akther, A Haroon; “Predicting Electric Energy Use of a Low Energy House: A Machine Learning Approach”, In: 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEEE [Scopus-Elsevier indexed]

R.I. Rasel, M. Nizam Uddin, F. Islam, A Haroon; “Application of Deep Neural Network for Predicting River Tide Level”, In: 2nd Int. Conf. on Innovations in Science, Engineering and Technology (ICISET), IEEE [Scopus-Elsevier indexed]

R.I. Rasel, N Sultana, S Akhter, P Meesad; “Detection of Cyber-Aggressive Comments on Social Media Networks: A Machine Learning and Text mining approach”, In: NLPIR 2018 Proceedings of the 2nd International Conference on Natural Language Processing and Information Retrieval, ACM [Scopus-Elsevier indexed]

Risul Islam Rasel, Nasrin Sultana, Sheikh Nurunnahar, Daliya Bari; “Short Term Wind Speed Forecasting Using Soft Margin SVR and BP-ANN: A Comparative Analysis”, In: 20th International Conference on Computer and Information Technology (ICCIT 2017), IEEE [CrossRef index]

Risul Islam Rasel, Nasrin Sultana, Fahim Ifteker Ahmed, Md. Rezaul Islam, Mohammad Shazzad Hossan; “River Tide Level Prediction: A Data Mining Approach for Hydrographic Time Series data Analysis”, In: 20th International Conference on Computer and Information Technology (ICCIT 2017), IEEE [CrossRef index]

Risul Islam Rasel, Nasrin Sultana, Phayung Meesad; “An Application of Data Mining and Machine Learning for Weather Forecasting”; In: Recent Advances in Information and Communication Technology 2017; AISC book series, V: 566; pp: 169-178; Springer, 2017 [indexed in SCOPUS, ISI, EI-Compendex, DBLP]

Nasrin Sultana, Risul Islam Rasel; “Evaluation of Geographic Locations for River Bridge Construction: A Multi-Criteria Decision Analysis with Evidential Reasoning Approach”; In: International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT 2016); pp: 1-4; IEEE, 2016 [SCOPUS index]

Risul Islam Rasel, Nasrin Sultana, Nasimul Hasan; “Financial Instability Analysis using ANN and Feature Selection Technique: Application to Stock Market Price Prediction”; In: International Conference on Innovations in Science, Engineering and Technology (ICISET-2016); pp: 1-4; IEEE, 2016 [SCOPUS index]

Risul Islam Rasel, Nasimul Hasan; “Artificial Neural Network Approach for Stock Price and Trend Prediction”; In: International Conference on Advanced Information and Communication Technology 2016 (ICAICT 2016); pp: 1-6, 2016 [Best Honorary paper award]

Risul Islam Rasel, Nasimul Hasan, Nayan nath; “A support vector regression model for forecasting rainfall”; In: 2nd International Conference on Electrical Information and Communication Technology (ECIT 2015); pp: 554 – 559, IEEE, 2015 [SCOPUS index]

R.I. Rasel, N Sultana, P Meesad; “An efficient modeling approach for forecasting financial time series data using support vector regression and windowing operators”; In: International Journal of Computational Intelligence Studies (IJCISTUDIES), V: 4, Issue: 2, pp: 134-150, 2015 [ACM index]

P Meesad, R.I. Rasel; “Predicting stock market price using support vector regression”; In: International Conference on Informatics, Electronics & Vision (ICIEV 2013); pp: 1-6; IEEE, 2013 [SCOPUS index]

Risul Islam Rasel, Phayung Meesad; “Dhaka Stock Exchange Trend Analysis Using Support Vector Regression” In: Advances in Intelligent Systems and Computing, V: 209; Springer; pp: 135-143, 2013 [SCOPUS index]