Md. Safial Islam Ayon | Green University of Bangladesh

Md. Safial Islam Ayon

Lecturer

BSc in Computer Science and Engineering

        Khulna University of Engineering and Technology, Bangladesh.

Higher Secondary Certificate (H.S.C)

        Khulna Public College, Bangladesh

Secondary School Certificate (S.S.C)

          Khulna Public College, Bangladesh

Lecturer

Dept. of Computer Science and Engineering | Green University of Bangladesh

January 2020 – Continue

 

Lecturer

Dept. of Computer Science and Engineering | Bangladesh Army University of Engineering & Technology (BAUET)

March 2019 – September 2019

 

Journal Papers

  1. Islam. M.M., Mahmud S., Muhammad L. J., Islam M. R., Nooruddin S. and Ayon, S.I. (2020), “Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19),” SN Computer Science 1, 320. https://doi.org/10.1007/s42979-020-00335-4
  2. Jibril, M.L., Islam. M.M., Sharif, U.S., and Ayon, S.I. (2020), “Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients Recovery,” SN Computer Science, Springer, vol. 1, no. 4, pp. 216, DOI: https://doi.org/10.1007/s42979-020-00216-w
  3. Ayon, S.I., Islam, M.M., and Hossain, M.R. (2020), “Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques,” IETE Journal of Research (IF 1.125) https://doi.org/10.1080/03772063 .2020.1713916
  4. Akhand, M.A.H., Ayon, S.I., Shahriyar, S.A., Siddique, N., and Adeli, H. (2020), “Discrete Spider Monkey Optimization for Traveling Salesman Problem,” Applied Soft Computing (IF 5.472), vol. 86, pp. 1-13, January 2020, DOI: https://doi.org/10.1016/j.asoc.2019.105887
  5. Ayon, S.I., and Islam. M.M. (2019), “Diabetes Prediction: A Deep Learning Approach,” International Journal of Information Engineering and Electronic Business (IJIEEB), vol. 11, no. 2, pp. 21-27. DOI: 10.5815/ijieeb.2019.02.03s

Conference Papers 

  1. Shahadat, A.S.B, Ayon, S.I., and Khatun, M. R., (2020), “Efficient IoT based Weather Station,” 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), India. [Accepted]
  2. Ayon, S.I., Shahadat, A.S.B, and Khatun, M. R., (2020), “Function Optimization using Evolutionary Game Theory Algorithm,” 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka. [Accepted]
  3. Islam., M. T. and Ayon, S.I., (2020), “Performance Analysis of Three-Phase Inverter for Minimizing Total Harmonic Distortion Using Space Vector Pulse Width Modulation Technique,” 23rd International Conference on Computer and Information Technology (ICCIT), Dhaka. [Accepted]
  4. Ayon, S.I., and Shahadat, A.S.B (2019), “Smart Security Box using Arduino and GSM Module,” IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things 2019 (RAAICON), pp. 155 – 159, Bangladesh, 29th Nov – 1st Dec 2019. DOI: 10.1109/RAAICON48939.2019.70
  5. Ayon, S.I. (2019), “Neural Network based Software Defect Prediction using Genetic Algorithm and Particle Swarm Optimization,” International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), pp. 971-974, Bangladesh, 3-5 May 2019. DOI: 10.1109/ICASERT.2019.8934642
  6. Ayon, S.I., Akhand, M.A.H., Shahriyar, S.A., and Siddique, N. (2019), “Spider Monkey Optimization to Solve Traveling Salesman Problem,” 2nd International Conference on Electrical, Computer and Communication Engineering (ECCE), Bangladesh, 7-9 February 2019. DOI:  10.1109/ECACE.2019.8679221
  7. Sopto, D.S., Ayon, S.I., Akhand, M.A.H., and Siddique, N. (2018), “Modified Grey Wolf Optimization to Solve Traveling Salesman Problem,” International Conference on Innovation in Engineering and Technology (ICIET), Bangladesh, 27-28 December 2018. DOI: 10.1109/CIET.2018.8660872 (Best Paper Award)

Awards

  • Showcase “Device Control Security Box” project in Digital World 2017 under the Secondary and Higher Education Division.
  • Technical Scholarship in consecutive four years for maintaining a decent result.

 

  • Machine Learning
  • Swarm Intelligence
  • Artificial Intelligence
  • Data Mining
  • Natural Language Processing

Technical skills

  • Programming Language: C, C++, Java, Python, Swift, Verilog, Assembly(x86)
  • Web-Based Language: PHP, CSS, JavaScript, HTML
  • Tools: Proteus, Cisco Packet Tracer, Logisim, Android Studio, XCODE

Other Experiences 

  • Participated in the workshop on “Embedded System Design on Zynq System-on-Chip Architectures”.
  • Reviewer in International Conference on Computational Intelligence, Security & IoT (ICCISIoT) 2019, Conference.