Assistant Professor

Dr Pratik Roy

Department of Computer Science and Engineering

Interests

  1. Software Reliability Prediction
  2. Reliability Optimization
  3. Soft Computing

Faculty Details

Education

2008

University of North Bengal
India
BSc

2010

Vidyasagar University
India
MSc

2020

University of Calcutta
India
PhD

Experience

  • May 2011 to October 2013 – JRF of CSIR – Siliguri Institute of Technology, Siliguri, West Bengal, India
  • August 2014 to January 2015 – Guest Lecturer – Ananda Chandra College, Jalpaiguri, West Bengal, India
  • October 2015 to April 2018 – SRF of CSIR – University of Calcutta, Kolkata, West Bengal, India
  • September 2018 to May 2019 – Guest Lecturer – New Alipore College, Kolkata, West Bengal, India
  • June 2019 to July 2021 – Assistant Professor – Techno India University, Kolkata, India
  • August 2021 to December 2022 – Assistant Professor – GLA University, Mathura, Uttar Pradesh, India

Research Interest

  • Prediction of Software Reliability using Machine Learning Techniques
  • Multi-objective reliability redundancy allocation optimization under uncertainty with novel evolutionary algorithms

Awards & Fellowships

  • 2011 – JRF – CSIR
  • 2015 – SRF - CSIR

Memberships

  • Member of IEEE

Publications

  • Pratik Roy, G.S. Mahapatra and K.N. Dey, Forecasting of software reliability using neighborhood fuzzy particle swarm optimization based novel neural network, IEEE/CAA Journal of Automatica Sinica, Vol. 6, No. 6, 2019, pp. 1365-1383.
  • Pratik Roy, G.S. Mahapatra, K.N. Dey, An efficient particle swarm optimization based neural network approach for software reliability assessment, International Journal of Reliability, Quality and Safety Engineering, Vol. 24, No. 4, 2017, pp. 1-24.
  • Pratik Roy, G.S. Mahapatra, K.N. Dey, Neuro-genetic approach on logistic model based software reliability prediction, Expert Systems with Applications, Vol. 42, No. 10, 2015, pp. 4709-4718.
  • Pratik Roy, G.S. Mahapatra, P. Rani, S.K. Pandey, K.N. Dey, Robust feedforward and recurrent neural network based dynamic weighted combination models for software reliability prediction, Applied Soft Computing, Vol. 22, 2014, pp. 629-637.
  • Pratik Roy, B.S. Mahapatra, G.S. Mahapatra, P.K. Roy, Entropy based region reducing genetic algorithm for reliability redundancy allocation in interval environment, Expert Systems with Applications, Vol. 41, No. 14, 2014, pp. 6147-6160.
  • Pratik Roy, G.S. Mahapatra, K.N. Dey, An NHPP software reliability growth model with imperfect debugging and error generation, International Journal of Reliability, Quality and Safety Engineering, Vol. 21, No. 2, 2014, pp. 1-32.
  • Pratik Roy, G.S. Mahapatra, K.N. Dey, An S–shaped software reliability model with imperfect debugging and improved testing learning process, International Journal of Reliability and Safety, Vol. 7, No. 4, 2013, pp. 372-387.
  • G.S. Mahaptra, Pratik Roy, Modified Jelinski-Moranda software reliability model with imperfect debugging phenomenon, International Journal of Computer Applications, Vol. 48, No. 18, 2012, pp. 38-46.
  • G.S. Mahapatra, Pratik Roy, A genetic algorithm approach for reliability of bridge network in fuzzy system, Journal of Information and Computing Science, Vol. 6, No. 4, 2011, pp. 243-254.

Conference Publications

  • S. De, Pratik Roy, A.B. Chowdhury, Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO, 9th International Symposium on Applied Computing for Software and Smart systems (ACSS-2022), University of Calcutta, India, 09-10 September, 2022.
  • Pratik Roy, G.S. Mahapatra, K.N. Dey, Particle swarm optimization based feedforward neural network approach for software reliability prediction, Proceedings in 2nd International Conference on Computing and Systems (ICCS)-2013, University of Burdwan, Burdwan, West Bengal, India, 21-22 September, 2013.

Contact Details

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