Profile

On Leave

S.M. Shovan

এস, এম, শোভন

Lecturer

  •  Room No:  110
  •  Phone:   880-1843756745
  •  Email:   me@smshovan.com
  • sm.shovan@gmail.com
  •  Website:   https://smshovan.com
Field of Research
  •  Bioinformatics
  •  Machine learning
  •  Deep Learning
Google Scholar Citation
  •  First Joined: 05th Nov, 2019
  •      Dept. of Computer Science & Engineering

Position

Education

  • SSC 2011

    Bindubashini govt boys' High School

  • HSC 2013

    Major General Mahmudul Hasan Adarsha College

  • B.Sc 2018

    Rajshahi University of Engineering & Technology

Book / Book Chapter
0
Journal Articles
1
Conference Papers
6
SL Authors Title Publisher Details Publication Year Type
1 Md. Rakibul Islam, Abdul Matin, Md. Nahiduzzaman, Md. Saifullah Siddiquee, Fahim Md. Sifnatul Hasnain, S.M. Shovan, Tonmoy Hasan A Novel Deep Convolutional Neural Network Model for Detection of Parkinson Disease by Analyzing the Spiral Drawing Springer Nature Book Series (accepted, yet to be published) 2020 Conference
2 Husnul Abid, Nusrat Jahan Jenny, S.M. Shovan Improved Identification Performance of Lysine Glycation PTM using PSI-BLAST (yet to be published) 2020 Conference
3 Md. Wakil Ahmad, Md. Easin Arafat, S.M. Shovan, Mahtab Uddin, Omar Faruq Osama, Swakkhar Shatabda Enhanced Prediction of Lysine Propionylation Sites using Bi-peptide Evolutionary Features Resolving Data Imbalance (yet to be published) 2020 Conference
4 S.M. Shovan, Md. Al Mehedi Hasan and Md. Rabiul Islam Accurate Prediction of Formylation PTM Site using Multiple Feature Fusion with LightGBM Resolving Data Imbalance Issue IEEE 2020 Conference
5 S.M. Shovan, Md Easin Arafat, Md. Wakil Ahmad, Abdollah Dehzangi, Shubhashis Roy Dipta, Md. Al Mehedi Hasan, Ghazaleh Taherzadeh *, Swakkhar Shatabda *, Alok Sharma * Accurately Predicting Glutarylation Sites using Sequential Bi-Peptide based Evolutionary Features Genes (3.759 IF) 2020 Journal
6 S.M. Shovan, Md. Al Mehedi Hasan Prediction of Lysine Glycation PTM site in Protein using Peptide Sequence Evolution based Features IEEE Xplore 2019 Conference
7 Md. Wakil Ahmad, S.M. Shovan, Md. Easin Arafat,Md. Habibur Rahman Sifat, Md. Al Mehedi Hasan, Swakkhar Shatabda Improved performance of Lysine Glutarylation PTM using Peptide Evolutionary Features (yet to be published) 2019 Conference
  •  Presidential Gold Medal for holding 1st position in the dept. of CSE, RUET.
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description