Md Fahim Sikder

Md Fahim Sikder

Ph.D. Student

Linköping University


Md Fahim Sikder is currently pursuing his Ph.D. under the guidance of Professor Fredrik Heintz at the Reasoning and Learning (ReaL) Lab, IDA, Linköping University, Sweden. His research focuses on developing Explainable Synthetic Time-Series Data Generation techniques while ensuring privacy and fairness. Before this, Fahim served as a Lecturer in the Computer Science and Engineering department at the Institute of Science, Trade, and Technology (ISTT). He also took on the roles of Coordinator of the HEAP Programming Club and Coach of the ACM ICPC team at ISTT.

Fahim’s research interests include Deep Learning, Generative Models, Time-Series Generation, Data Privacy.

Md Fahim Sikder conducted several workshops and seminars, including a Workshop on Latex and a Week-long training course on Python (Beginning to Advance including Machine Learning). He participated in several National and International Contests. He achieved many titles, including “Champion at International Contest on Programming and System Development (ICPSD), 2014”, and “Champion at NASA SPACE APPS CHALLENGE 2016” in Rajshahi Region, Bangladesh.

  • Deep Learning
  • Generative Models
  • Time-Series Generation
  • Data Privacy
  • Data Fairness
  • Explainable AI (XAI)
  • Robotics
  • Ph.D. in Computer Science, Ongoing

    Linköping University, Sweden

  • Master of Science in Computer Science, 2018

    Jahangirnagar University, Bangladesh

  • Bachelor of Science (Engineering) in Computer Science & Engineering, 2016

    Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj, Bangladesh

  • Higher Secondary Certificate Examination, 2012

    Khilgaon Government High School, Bangladesh

  • Secondary School Certificate Examination, 2010

    Khilgaon Government High School, Bangladesh


Ph.D. Student
April 2020 – Present Linköping, Sweden

Department of Computer and Information Science (IDA)

Responsibilities include:

  • Research
  • Supervising Master’s Thesis Students
  • Conducting Labs
July 2017 – February 2020 Dhaka, Bangladesh

Department of Computer Science & Engineering (CSE)

Responsibilities include:

  • Conducting Class & Labs
  • Research
  • Supervising Research Students

Recent Publications

(2023). Explainable Bengali News Classification. Accepted at ICCIT 2023.

(2023). Generating Private and Fair Long-Sequenced Longitudinal Healthcare Records. Work in Progress.

PDF Poster

(2023). TransFusion: Generating Long, High-Fidelity Time Series using Diffusion Models with Transformers. Under Review.


(2023). Synthesizing Longer and Higher-Fidelity Time-Series Data Using Generative Adversarial Networks. Work in Progress.

(2023). Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. Under Review.


  • Call to Arms Award (Reviewer), 26th European Conference on Artificial Intelligence (ECAI 2023), 2023
  • Finalist, Student Project Competition, Linköping Hockey Analytics Conference (LINHAC) 2022, 2022
  • NVIDIA GPU Grant, NVIDIA, 2018
  • Champion, NASA Space Apps Challenge 2016, Rajshahi Region, Bangladesh, 2016
  • Best Young Inventor, Digital Innovation Fair 2016, 2016
  • Champion, Project Showcasing(Mobile Apps), CSE IT Carnival 2015, BSMRSTU, 2015
  • Champion, International Contest on Programming & System Development (ICPSD) 2014, System Development Section, 2014