Department of Software Engineering
Dr. Md. Fazla Elahe  Assistant Professor
Name :
Dr. Md. Fazla Elahe
Employee ID
Assistant Professor  
Department of Software Engineering
Faculty of Science and Information Technology
Personal Webpage

Ph.D. in Computer Science and Technology
from Hunan University, China

M.Sc in Computer Software and Theory
from Nanjing University of Science and Technology, China

B.Sc. (Hons.) in Software Engineering
from Shenyang University of Chemical Technology, China

More than 10 years experience in teaching, research and working at the IT industry in  China, and Bangladesh

Computer Science and Engineering, Software Engineering.

  1. Gong H, Wang M, Zhang H, Elahe MF and Jin M, “An Explainable AI Approach for the Rapid Diagnosis of COVID-19 Using Ensemble Learning Algorithms,” Front. Public Health 10:874455. (Accepted, DOI: 10.3389/fpubh.2022.874455) (IF: 6.46)
  2. M. F. Elahe, M. Jin, and P. Zeng, “Knowledge-based Systematic Feature Extraction for Identifying Households with Plug-in Electric Vehicles,” IEEE Trans. on Smart Grid, vol. 13(3), pp. 2259 - 2268, 2022 (IF: 10.27)
  3. M. F. Elahe, M. Jin, and P. Zeng, “Review of load data analytics using deep learning in smart grids: Open load datasets, methodologies, and application challenges,” Int. J. Energy Res., no. December 2020, pp. 1–32, 2021. (IF: 5.16)
  4. M. F. Elahe, M. Jin, and P. Zeng, “An Adaptive and Parallel Forecasting Strategy for Short-Term Power Load Based on Second Learning of Error Trend,” IEEE Access, vol. 8, pp. 201889–201899, 2020. (IF: 3.75)
  5. P. Zeng, M. Jin, and M. F. Elahe, “Short-term power load forecasting based on cross multi-model and second decision mechanism,” IEEE Access, vol. 8, pp. 184061–184072, 2020. (IF: 3.75)
  6. W. Zhang, J. Huang, H. N. Chen, M. F. Elahe, and M. Jin, “A Cancer Diagnosis Method Combining miRNAlncRNA Interaction Pairs and Class Weight Competition,” IEEE Access, vol. 8, 2020. (IF: 3.75)
  7. M. F. Elahe and K. Zhang, “Mining High-Utility Itemsets Based on Multiple Minimum Support and Multiple Minimum Utility Thresholds,” Int. J. Database Theory Appl., vol. 10, no. 3, pp. 31–44, 2017.


  • Data mining,
  • Artificial intelligence,
  • Power load forecasting
  • Bioinformatics
  1. Chinese Scholarship Council (CSC) full scholarship for Ph.D. (September 2017)
  2. Best organizer on belt and road cultural festival, NUST. (October 2015)
  3. NMG-NUST joint full scholarship for master program. (July 2014)
  4. Android App. development certification under the supervision of ministry of ICT,
    Bangladesh. (January 2014)
  5. Best student representative, SYUCT. (December 2012)
  6. University scholarship for undergraduate student program. (March 2009)

(1)SUCT International Student Association  .
(2)SUCT Programming Club

Lecturer (Sep 2013-August 2022)
Department of Software Engineering,
Daffodil International University, Dhaka, Bangladesh.

Graduate Research Assistant (Sep 2018 - Dec 2021)
College of Computer Science and Electronic Engineering,
Hunan University, Hunan, China.

Graduate Research Assistant (Sep 2015 - Dec 2016)
School of Computer Science and Engineering,
Nanjing University of Science and Technology, Nanjing, China.

Software Engineer (Jan 2013-Aug 2013)
Advanced App, Dhaka, Bangladesh.

Software Engineer (July 2012-Jan 2013)
Page INC, Dhaka, Bangladesh.

List of professional consultancy and sponsored research activities

  1. Lead researcher on the National Natural Science Foundation of China's project "Research on Fuzzy Theory Framework and Core Methods of Bus Load Forecasting" (61374172).
  2. Lead researcher on the National Natural Science Foundation of China's project "short-term power load forecasting methods based on multi-source migration data and heterogeneous competition models" (61773157).
  3. Researcher on Changsha key research and development plan project "short-term power load forecasting method based on multi-source migration data and holographic integration model" (KQ2004011).
  4. Researcher on Hunan Provincial Natural Science Foundation of China project "The relationship between famous traditional Chinese medicine prescriptions and genes driven by multi-source data" (2021JJ30139).
  5. Researcher on National Natural Science Regional Joint Fund project "Research on key technologies for safe and efficient large-scale graph data management" (U20A20174).