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Faculty Members (Department of Computer Science & Engineering )
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Personal Info

Hasibul Islam Peyal

M.Sc. (Engg.) in Computer Science & Engineering (CSE), RUET
B.Sc. in Electrical & Computer Engineering (ECE), RUET
Lecturer, Department of Computer Science & Engineering

Contact Info

Email: peyal@isu.ac.bd
Telephone: +880 9613737373, Ext. 179

Hasibul Islam Peyal is a dedicated academic and researcher with a strong foundation in Computer Science & Engineering. He has successfully completed his M.Sc. in Computer Science & Engineering (CSE) with satisfactory research from the Rajshahi University of Engineering & Technology (RUET), where he also earned his B.Sc. in Electrical & Computer Engineering (ECE), graduating 4th in his class with First Class Honors.

Hasibul is currently serving as a Lecturer and Coordinator of the ISU IT Club in the Department of Computer Science and Engineering at International Standard University (ISU), Dhaka. Previously, he worked as a Lecturer at Uttara University, where he gained valuable teaching experience and built strong connections with students through his engaging and effective teaching methods. His academic roles reflect his commitment to student development and his dedication to fostering academic excellence.

His research interests include Deep Learning, Machine Learning, and the Internet of Things (IoT). He has published his work in prestigious international journals such as IEEE Access, MDPI Sensors, and Frontiers in Plant Science, and has presented at multiple international IEEE conferences, reflecting the global relevance and impact of his research contributions. According to Google Scholar, Hasibul has received 175 citations, with an h-index of 6 and an i10-index of 5, demonstrating the growing recognition and influence of his scholarly work. In addition, he serves as a Reviewer for the European Journal of Radiology, a renowned Elsevier journal with a high impact factor.

Hasibul has also demonstrated exceptional innovation and technical skill through his participation in national and international competitions. He was crowned Champion of IEEE YESIST 2020 held in Malaysia, competing among top teams from over ten countries. Additionally, he secured the 4th position as a Finalist in IEEE SS12 2018 in Sri Lanka, strengthening his profile as a global innovator.

Within Bangladesh, Hasibul has received several honors that highlight his academic excellence. These include the Best Technical Presentation Award at ICCIT 2024, the country’s most prestigious IEEE conference. During his undergraduate studies, he was awarded both the Excellent Research Award and Excellent Contestant Award by the Department of Electrical & Computer Engineering at RUET. His innovation and leadership earned him the 1st Runner-Up position in The Ultimate Innovator Hunt 2018, and he was selected for startup incubation at the Sheikh Kamal IT Incubation Centre under the Ministry of ICT, Bangladesh, reflecting his strong entrepreneurial potential.

To support his professional development, Hasibul also completed the IQAC Training Workshop for Faculty Members at ISU in February 2024, demonstrating his commitment to ongoing learning and academic quality assurance.

Outside the realm of academia, Hasibul is equally passionate about cinematography, video editing, and creative writing—skills that highlight his ability to integrate creativity with technical depth.

With a unique combination of research experience, international recognition, teaching excellence, and interdisciplinary skills, Hasibul Islam Peyal stands out as a promising scholar and educator poised to make impactful contributions in the field of Computer Science and Engineering.

Journals

  • H. I. Peyal, M. Nahiduzzaman, M. A. H. Pramanik, M. K. Syfullah, S. M. Shahriar, A. Sultana, M. Ahsan, J. Haider, A. Khandakar, M. E. H. Chowdhury, “Plant Disease Classifier: Detection of Multi-Crop Diseases Using Lightweight 2D CNN Architecture and a Smart Android Application,” IEEE Access  (Accepted)
  • R. H. Prince, A. A. Mamun, H.I. Peyal, S. Miraz 2, M. Nahiduzzaman, A. Khandakar, and M. A. Ayari,"CSXAI: A Lightweight 2D CNN-SVM Model for Detection and Classification of Various Crop Diseases with Explainable AI Visualization," Frontiers in Plant Science, vol. 15, Jul. 2024, doi: https://doi.org/10.3389/fpls.2024.1412988. (IF= 5.6).
  • A. Sultana, M. Nahiduzzaman, S. C. Bakchy, S. M. Shahriar, H. I. Peyal, M. E. H. Chowdhury, A. Khandakar, M. A. Ayari, M. Ahsan, J. Haider, “A   Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning,” Sensors, vol. 23, no. 9, p. 4458, May 2023, doi: 10.3390/s23094458.

Conferences

  • H. I. Peyal and M. N. Islam Mondal, "Potato Leaf Disease Classification Using Lightweight CNN-SVM and Real-World Web-Based Tools," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-5, doi: 10.1109/ECCE64574.2025.11013900.  
  • H. I. Peyal, M. N. I. Mondal and S. Miraz, "An Efficient Explainable AI Method Combining CNN and SVM for Corn Leaf Disease Detection and Visualization," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 2958-2962, doi: 10.1109/ICCIT64611.2024.11021795.
  • H. I. Peyal, S. M. Shahriar, A. Sultana, I. Jahan and M. H. Mondol, "Detection of Tomato Leaf Diseases Using Transfer Learning Architectures: A Comparative Analysis," 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), Rajshahi, Bangladesh, 2021, pp. 1-6, doi: 10.1109/ACMI53878.2021.9528199.
  • H. I. Peyal, M. A. H. Pramanik, M. Nahiduzzaman, P. Goswami, U. Mahapatra and J. J. Atusi, "Cotton Leaf Disease Detection and Classification Using Lightweight CNN Architecture," 2022 12th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2022, pp. 413-416, doi: 10.1109/ICECE57408.2022.10088570.
  • H. I. Peyal et al., "A Lightweight CNN-SVM Explainable AI Approach for Classification and Visualization of Grape Leaf Disease," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-5, doi: 10.1109/ICAEEE62219.2024.10561852.
  • S. M. Shahriar, H. I. Peyal, M. Nahiduzzaman and M. A. H. Pramanik, "An IoT-Based Real-Time Intelligent Irrigation System using Machine Learning," 2021 13th International Conference on Information & Communication Technology and System (ICTS), Surabaya, Indonesia, 2021, pp. 277-281, doi: 10.1109/ICTS52701.2021.9608813.
  • M. K. Syfullah, H. I. Peyal, S. S. Bipro, S. M. Shahriar and M. H. Mondol, "IoT Based Multi-layered Security & Automated Monitoring System," 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2021, pp. 1-4, doi: 10.1109/IC4ME253898.2021.9768512.
  • A. Sultana, H. I. Peyal, M. I. Islam, M. N. Abdal, S. Miraz, M. M. R. Kontho, Z. M. Leion, A. A. Mamun, "Secured Entry Control: An IoT and Deep Learning based Mask Detection System for COVID-19 Suspected Patient Screening and Access Regulation," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-5, doi: 10.1109/ICAEEE62219.2024.10561797.
  • M. I. Hossen Abir, H. Islam Peyal, S. Rashid, M. Jahid, S. M. Rahman Chowdhury and M. Nazrul Islam Mondal, "Integrating SHAP, LIME and Grad-CAM with CNNs for Transparent Kidney Condition Classification," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 1224-1228, doi: 10.1109/ICCIT64611.2024.11021878.
  • Tasmim, S. C. Bakchy, H. I. Peyal, M. R. Hoshen and M. A. I. Siddique, "Colon Cancer Detection Using A Lightweight-CNN With Grad-CAM++ Visualization," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICAEEE62219.2024.10561717.
  • M. T. R. Ratul, S. Afroge, H. I. Peyal, D. Zafrin, K. F. Ahmed and M. N. Abdal, "Detection of Primary Open Angle Glaucoma Based on Deep CNN Using Fundus Images," 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441337. 
  • M. I. H. Abir, S. D. Anik, H. I. Peyal, "Explainable Multiclass Blood Cell Classification: Combining Custom CNNs with SHAP," pp. 1–4, Feb. 2025, doi: https://doi.org/10.1109/ecce64574.2025.11012986.
  • Tasmim, S. C. Bakchy, H. I. Peyal, M. R. Hoshen and M. A. I. Siddique, "Colon Cancer Detection Using A Lightweight-CNN With Grad-CAM++ Visualization," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICAEEE62219.2024.10561717.
  • M. I. H. Abir, N. Bashar, M. S. Ahmed and H. I. Peyal, "XGBClassifier and Explainable AI for Disease Classification from Patient Symptom and Demographic Data with Late Fusion," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-5, doi: 10.1109/ECCE64574.2025.11013373.  
  • M. I. Hossen Abir, M. D. Shaek Ahmed, N. Bashar and H. I. Peyal, "Egyptian Hieroglyphics Handwriting Character Classification Using CNN with Explainable AI: SHAP and LIME," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-4, doi: 10.1109/ECCE64574.2025.11013519.
  • Z. M. Leion, O. Jyoti, M. I. H. Abir, M. M. R. Kontho, I. Arafat and H. I. Peyal, "An Explainable AI Approach Using Lightweight-CNN Model for Alzheimer’s Disease Detection," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 1588-1593, doi: 10.1109/ICCIT64611.2024.11022368. 
  • H. I. Peyal, M. A. H. Pramanik, S. K. Ghosh and T. K. Roy, "Design of a Double Integral Sliding Mode Controller for DC-DC Boost Converters in Applications for Fuel Cells," 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2021, pp. 1-3, doi: 10.1109/IC4ME253898.2021.9768540.


RESEARCH PROJECT

Software Projects:

  • Plasma Donating and Corona Detection Android Apps    
  • E-commerce based android application (with Firebase database)
  • Face Mask Detection    

Hardware Projects:

  • IoT-based Multipurpose Quadcopter    
  • Security management & intruder monitoring system    
  • Wireless charger    
  • Smart irrigation system     

  • 2024 ICCIT Best Technical Presentation Award at the International Conference on Computer and Information Technology (ICCIT),
  • Bangladesh's oldest and most prestigious international IEEE conference.
  • Excellent Research Award from Department of Electrical & Computer Engineering, RUET.
  • Excellent Contestant Award from Department of Electrical & Computer Engineering, RUET.
  • Champion in IEEE YESIST 2020, Malaysia (An International Project Competition Over 10 Countries).
  • Finalist in IEEE SS12 2018, Sri Lanka. Position: 4th (Among 50+ team over 10 Countries).
  • Selected as a Startup at Sheikh Kamal IT Training and Incubation Centre, BHTPA Rajshahi, under the Ministry of ICT, Bangladesh.
  • 1st Runner Up of “The Ultimate Innovator Hunt 2018” organized by IEEE RUET Student Branch and “Master builder (Project
  • Showcasing) at Technocracy 2018” organized by Department of Electrical & Computer Engineering , RUET.

  • M.Sc. (Engg.) in Computer Science & Engineering (CSE) from Rajshahi University of Engineering & Technology (RUET)
  • B.Sc. (Engg.) in Electrical & Computer Engineering (ECE) from Rajshahi University of Engineering & Technology (RUET)

  • Institutional Quality Assurance Cell (IQAC) Training Workshop for Faculty Members, International Standard University (ISU).
  • BHTPA Startup idea pitching, Sheikh Kamal IT Training and Incubation Centre, Bangabandhu Sheikh Mujib Hi-Tech Park, Rajshahi, January 30, 2021.
  • IEEE YESIST12 2020 Special Track, IEEE, November 07, 2020.
  • Technocracy 2019, Dept. of Electrical & Computer Engineering, RUET from 04/7/2019 to 05/07/2019.
  • IEEE SS12 Project Competition & Maker Fair, NSBM Green University, Sri Lanka from 8/9/2018 to 9/9/2018.
  • Technocracy 2018, Dept. of Electrical & Computer Engineering, RUET, 28/06/2018.
  • Robo Carnival 2017, BUET Robotics Society, BUET, from 18/5/1999 to 20/5/1999.

  • Lecturer, Department of CSE, International Standard University, Dhaka, Bangladesh from 01.02.2024 to Present
  • Lecturer, Department of CSE, Uttara University, Dhaka, Bangladesh from 02.05.2023 to 30.01.2024.
  • Lecturer, Department of CSE, Varendra University, Rajshahi, Bangladesh from 01.03.2023 to 30.04.2023.

  • Structured Programming Language
  • Object-Oriented Programming
  • Operating System
  • Computer Architecture
  • Data Structure.
  • Computer Fundamentals
  • Digital Logic Design

  • Deep learning
  • Machine learning
  • Internet of Things