Dr. Prashant S Rana
Associate Professor & Associate Head
Specialization
Machine Learning and Data Mining, Modelling and Simulation, Parallel Algorithms,Machine Learning, Optimization, Computational Biology
prashant.singh@thapar.edu
Specialization
Machine Learning and Data Mining, Modelling and Simulation, Parallel Algorithms,Machine Learning, Optimization, Computational Biology
psrana@gmail.com
Contact No.
+91-9855-764-471, +91-9313-889-932
Biography
Presently working as Associate 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-
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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:
- PhD Scholarship (MHRD) from Jan 2010 - March 2013.
- Qualified GATE-2005 and GATE-2010 with 98.89 and 95.75 percentile respectively.
- GATE scholarship (MHRD) for MTech from June 2005-May 2007.
- 3rd place in Imagin Cup 2006, organized by Microsoft.
Description of Research Interests
- Machine Learning, Deep Learning, Data Mining and Data Analytic
- Computational Biology
- Combinatorial Problems
- Optimization using Soft Computing
- High Performance Computing.