Md Fahim Sikder

Md Fahim Sikder

Ph.D. Student

Linköping University


Md Fahim Sikder is a Ph.D. student who works on Explainable Synthetic Time-Series Data Generation with Privacy and Fairness under the supervision of Professor Fredrik Heintz at Reasoning and Learning (ReaL) Lab, IDA, Linköping University, Sweden. Fahim was a Lecturer in the Computer Science and Engineering department at the Institute of Science, Trade, and Technology (ISTT). In addition, he was the Coordinator of the HEAP Programming Club, ISTT, and Coach of the ACM ICPC team in ISTT.

His 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

  • MSc in Computer Science, 2018

    Jahangirnagar University, Bangladesh

  • BSc (Engineering) in Computer Science & Engineering, 2016

    Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Bangladesh

  • Higher Secondary Certificate, 2012

    Khilgaon Government High School, Bangladesh

  • Secondary School Certificate, 2010

    Khilgaon Government High School, Bangladesh


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

Department of Computer and Information Science (IDA)

Responsibilities include:

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

Department of Computer Science & Engineering (CSE)

Responsibilities include:

  • Conducting Class & Labs
  • Research
  • Supervising Research Students

Recent Publications

(2023). Fair Latent Deep Generative Models (FLDGM) for Syntax-agnostic and Fair Synthetic Data Generation. Work in Progress.


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

(2023). Bias Transforming Generative Adversarial Networks (Bt-GAN). Work in Progress.

Recent Posts


  • 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