Sagor Chandro Bakchy

সাগর চন্দ্র বাগচী

Assistant Professor

  •   Head of ECE
  •  Room No:  Room no# 425, First Academic (CSE Building) Building, RUET, Rajshahi
  •  Phone:   880-1776919609
  •  Email:
Field of Research
  •  Machine Learning, Cybersecurity, Computer Vision and NLP.
Machine Learning, Cybersecurity, Computer Vision and NLP.
  •  First Joined:
  •      Dept. of Electrical & Computer Engineering



Book / Book Chapter
Journal Articles
Conference Papers
SL Authors Title Publisher Details Publication Year Type
1 Sagor Chandro Bakchy Human Gait Analysis using Gait Energy Image arXiv preprint 2022 Journal
2 Mahammed Kamruzzaman, Sagor Chandro Bakchy, Tonmoy Hasan, Md Minul Islam Shovon, Mohammed Hossain An intense investigation on deep and traditional machine learning approaches for better sentiment classification ACMI 2021 Conference
3 Mahammed Kamruzzaman, Mohammed Hossain, Md Rashidul Islam Imran, Sagor Chandro Bakchy A Comparative Analysis of Sentiment Classification Based on Deep and Traditional Ensemble Machine Learning Models ICSCT 2021 Conference
4 Md. Rony, Sagor Chandro Bakchy, and Hadisur Rahman. Crime Detection Using Data Mining Techniques CSEIJ 2020 Journal
5 Joy Paul, Zerin Jahan, Kazi Fahim Lateef, Md Robiul Islam, Sagor Chandro Bakchy, Prediction of road accident and severity of bangladesh applying machine learning techniques” R10HTC 2020 Conference
6 Sagor Chandro Bakchy, Nazrul Islam Mondal, and Mst. Jannatul Ferdous Limbs and Muscle Movement Detection using Gait Analysis IC4ME2 2018 Conference
7 Sagor Chandro Bakchy, Md. Rabiul Islam, M. Rasel Mahmud and Faisal Imaran Human Gait Analysis using Gait Energy Image IC4ME2 2017 Conference
8 Sagor Chandro Bakchy, Md. Meraj Ali and M. Rasel Mahmud Facial Expression Detection using Back-propagation Neural Network ICEEE 2017 Conference
9 Sagor Chandro Bakchy, Md. Rabiul Islam and Abu Sayeed Human identification on the basis of gait analysis using Kohonen self-organizing mapping technique ICECTE 2016 Conference
Phd Students
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
Activity Description