Dr. Prashant S Rana
Assistant Professor

  

Designation:

Assistant Professor

Specialization:

Machine Learning and Data Mining, Modelling and Simulation, Parallel Algorithms,Machine Learning, Optimization, Computational Biology

Email:

prashant.singh@thapar.edu

psrana@gmail.com

Contact No.

+91-9855-764-471, +91-9313-889-932

Biography

Presently working as Assistant Professor in Computer Science and Engineering Department, Thapar Institute of Engineering & Technology since 2015.

Research Projects :

S.No Title PI Co-PI Amount Duration Agency Scheme File No
1 Tox2020: Toxicity Prediction of pre clinical trial drug using Physicochemical Properties and Machine Learning Approaches. Dr. Prashant Singh Rana (Thapar Institute of Engineering & Technology) Prof. Deepak Garg (Bennett University), Dr. Vijay Kumar (Thapar Institute of Engineering & Technology), Dr. Avinash Mishra (IIT Delhi). Rs. 2587248(INR) Two Years (2016-2018) DST-SERB (Science and Engineering Research Board, Government of India) Early Career Research Scheme ECR/2015/000150/LS
2 SmartGlucoBinder: Design and Synthesis of Small Glucose Binder Molecule using Computational Intelligence Approach Dr. Vijay Kumar (Thapar Institute of Engineering & Technology) Dr. Prashant Singh Rana (Thapar Institute of Engineering & Technology), Dr. Amjad Ali (Thapar Institute of Engineering & Technology), Dr. Avinash Mishra (IIT Delhi). Rs. 2719200 (INR) Three Years (2017-2020) DST-SERB (Science and Engineering Research Board, Government of India) Early Career Research Scheme ECR/2016/001231/LS

Publications and other Research Outputs

SCI-

  1. Rishith Rayal, J Kaur, N Hooda, D Khanna and PS Rana, “N-semble: Neural Network based ensemble approach”, International Journal of Machine Learning and Cybernetics, Springer, 2017 [In Press]. [IF 1.699]
  2. A Kumar, M Dash, E R Mussada, G Kabra, and PS Rana, “Combined Artificial Bee Colony Algorithm and Machine Learning Techniques for Prediction Online Consumer Repurchase Intention”, Neural Computing and Applications, Springer, 2017 [In Press]. [IF 2.50]
  3. N Hooda, PS Rana and S Bawa, “B2FSE Framework for High Dimensional Imbalanced Data:A Case Study for Drug Toxicity Prediction”, Neurocomputing, Elsevier, 2017 [In Press]. [IF 3.32]
  4. D Khanna and PS Rana, “Multilevel Ensemble Model for Prediction of IgA and IgG antibodies”, Immunology Letters, Elsevier, 184(1):51-60, 2017. [IF 2.86]
  5. Y Pathak, PS Rana, PK Singh and M Saraswat, “Protein structure prediction (RMSD _ 5°A) using machine learning models”, International Journal of Data Mining and Bioinformatics, Inderscience, 14(1):71-85, 2016. [IF 0.62]
  6. V Sharma, R Nagdev and PS Rana, “Self-Healing Neural Model For Stabilization Against Failures Over Networked UAVs”, IEEE Communications Letters, IEEE, 19(11):2013-16, 2015.[IF 1.99]
  7. PS Rana, M Bhattacharya and A Shukla, “Quality assessment of modelled protein structure using physicochemical properties”, Journal of Bioinformatics and Computational Biology, World Scientific Publishing, 13(2):15505-24, 2015. [IF 0.8]
  8. A Mishra, PS Rana, A Mittal and B Jayaram, “D2N: Distance to the native”, BBA Proteins and Proteomics, Elsevier, 1844(10):1798-1807, 2014. [IF 2.77]

Awards and Honours:

  1. PhD Scholarship (MHRD) from Jan 2010 - March 2013.
  2. Qualified GATE-2005 and GATE-2010 with 98.89 and 95.75 percentile respectively.
  3. GATE scholarship (MHRD) for MTech from June 2005-May 2007.
  4. 3rd place in Imagin Cup 2006, organized by Microsoft.

Description of Research Interests

  1. Machine Learning, Deep Learning, Data Mining and Data Analytic
  2. Computational Biology
  3. Combinatorial Problems
  4. Optimization using Soft Computing
  5. High Performance Computing.