Dr. Pradeep   Singh

Department Computer Science & Engineering
Designation Associate Professor
Educational Qualification Ph. D (Computer Science & Engineering)
E-Mail psingh.cs@nitrr.ac.in
Contact Number 9407627366
Areas of Interest

Software Engineering, Machine Learning, Database Systems, Evolutionary Computing, Deep learning, Business Analytics and  Computational Intelligence

Publications

Significant Achievements

Included in World’s Top 2%  Researchers and Influential Scientists 2023,  by  Stanford University  in the field of   Artificial Intelligence & Image Processing - (The list was prepared by Scientists from Stanford University USA & Published by Elsevier)  

Recipient of Faculty Research Awards -2023-

AMONGST THE TOP 1000 RESEARCHERS IN THE COUNTRY  ( Based on academic output in SCOPUS indexed journals, citation counts and h-index)

 

For Updated Profile pls visit:

                   SCI/SCOPUS JOURNAL PUBLICATIONS:
  • Nevendra, M., & Singh, P. (2021). Defect count prediction via metric-based convolutional neural network. Neural Computing and Applications, 33(22), 15319-15344. doi:10.1007/s00521-021-06158-5[SCI Indexed with Impact Factor: 5.606]
  • Sihag, V., Vardhan, M., & Singh, P. (2021). A survey of android application and malware hardening. Computer Science Review, 39 doi:10.1016/j.cosrev.2021.100365[SCI Indexed with Impact Factor: 7.872] 
  •  Sihag, V., Vardhan, M., & Singh, P. (2021). BLADE: Robust malware detection against obfuscation in android. Forensic Science International: Digital Investigation, 38 doi:10.1016/j.fsidi.2021.301176[SCI Indexed with Impact Factor: 2.395] 
  •  Sihag, V., Vardhan, M., Singh, P., Choudhary, G., & Son, S. (2021). De-lady: Deep learning based android malware detection using dynamic features. Journal of Internet Services and Information Security, 11(2), 34-45. doi:10.22667/JISIS.2021.05.31.034[SJR: 0.21]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2020). An adaptive inertia weight teaching-learning-based optimization algorithm and its applications. Applied Mathematical Modelling, 77, 309-326. doi:10.1016/j.apm.2019.07.046[SCI Indexed with Impact Factor: 5.129]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2020). Gene selection for cancer types classification using novel hybrid metaheuristics approach. Swarm and Evolutionary Computation, 54 doi:10.1016/j.swevo.2020.100661[SCI Indexed with Impact Factor: 7.177]
  •  Singh, D., Sisodia, D. S., & Singh, P. (2020). Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease. Journal of Biomedical Informatics, 102 doi:10.1016/j.jbi.2020.103376[SCI Indexed with Impact Factor: 6.317]
  •  Singh, P., & Kumar, A. (2020). Deciphering the function of unknown leishmania donovani cytosolic proteins using hyperparameter-tuned random forest. Network Modeling Analysis in Health Informatics and Bioinformatics, 9(1) doi:10.1007/s13721-019-0208-2[SCI Indexed with Impact Factor: 1.2]
  •  Singh, P., & Verma, S. (2020). ACO based comprehensive model for software fault prediction. International Journal of Knowledge-Based and Intelligent Engineering Systems, 24(1), 63-71. doi:10.3233/KES-200029[SJR: 0.242]
  •  Singh, D., Sisodia, D. S., & Singh, P. (2020). Multi-objective evolutionary approach for the performance improvement of learners using ensembling feature selection and discretization technique on medical data. Current Medical Imaging Reviews, 16(4), 355-370. doi:10.2174/1573405614666180903114534[SCI Indexed with Impact Factor: 0.858]
  •  Singh, D., Sisodia, D. S., & Singh, P. (2020). Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites. Soft Computing, 24(13), 9727-9751. doi:10.1007/s00500-019-04487-1[SCI Indexed with Impact Factor: 3.643]
  •  Singh, N., & Singh, P. (2020). Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus. Biocybernetics and Biomedical Engineering, 40(1), 1-22. doi:10.1016/j.bbe.2019.10.001[SCI Indexed with Impact Factor: 4.314]
  •  Singh, N., Singh, P., & Bhagat, D. (2019). A rule extraction approach from support vector machines for diagnosing hypertension among diabetics. Expert Systems with Applications, 130, 188-205. doi:10.1016/j.eswa.2019.04.029[SCI Indexed with Impact Factor: 6.954]
  •  Singh, N., & Singh, P. (2019). A novel bagged naïve bayes-decision tree approach for multi-class classification problems. Journal of Intelligent and Fuzzy Systems, 36(3), 2261-2271. doi:10.3233/JIFS-169937[SCI Indexed with Impact Factor: 1.851]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2019). A hybrid framework for optimal feature subset selection. Journal of Intelligent and Fuzzy Systems, 36(3), 2247-2259. doi:10.3233/JIFS-169936[SCI Indexed with Impact Factor: 1.851]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2019). A new hybrid feature subset selection framework based on binary genetic algorithm and information theory. International Journal of Computational Intelligence and Applications, 18(3) doi:10.1142/S1469026819500202[SJR: 0.283]
  • Singh, D., Sisodia, D. S., & Singh, P. (2019). Cognitive framework for HIV-1 protease cleavage site classification using evolutionary algorithm. Arabian Journal for Science and Engineering, 44(11), 9007-9027. doi:10.1007/s13369-019-03871-1[SCI Indexed with Impact Factor: 2.334]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2019). A new hybrid wrapper TLBO and SA with SVM approach for gene expression data. Information Sciences, 503, 238-254. doi:10.1016/j.ins.2019.06.063[SCI Indexed with Impact Factor: 6.795]
  • Singh, D., Singh, P., & Singh Sisodia, D. (2019). Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction. Artificial Intelligence in Medicine, 101 doi:10.1016/j.artmed.2019.101757[SCI Indexed with Impact Factor: 5.326]
  •  Singh, D., Singh, P., & Sisodia, D. S. (2019). Evolutionary based ensemble framework for realizing transfer learning in HIV-1 protease cleavage sites prediction. Applied Intelligence, 49(4), 1260-1282. doi:10.1007/s10489-018-1323-y[SCI Indexed with Impact Factor: 5.086]
  •  Singh, D., Singh, P., & Sisodia, D. S. (2018). Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction. Expert Systems with Applications, 109, 86-99. doi:10.1016/j.eswa.2018.05.003[SCI Indexed with Impact Factor: 6.954]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2018). A two-stage gene selection method for biomarker discovery from microarray data for cancer classification. Chemometrics and Intelligent Laboratory Systems, 183, 47-58. doi:10.1016/j.chemolab.2018.10.009[SCI Indexed with Impact Factor: 3.491]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2018). A hybrid gene selection method for microarray recognition. Biocybernetics and Biomedical Engineering, 38(4), 975-991. doi:10.1016/j.bbe.2018.08.004[SCI Indexed with Impact Factor: 4.314]
  •  Singh, P., & Verma, S. (2018). Multi-classifier model for software fault prediction. International Arab Journal of Information Technology, 15(5), 912-919.[SCI Indexed with Impact Factor: 0.669]
  •  Shukla, A. K., Singh, P., & Vardhan, M. (2018). Neighbour teaching learning based optimization for global optimization problems. Journal of Intelligent and Fuzzy Systems, 34(3), 1583-1594. doi:10.3233/JIFS-169453[SCI Indexed with Impact Factor: 1.851]
  • Singh, N., & Singh, P. (2017). Rule based approach for prediction of chronic kidney disease: A comparative study. Biomedical and Pharmacology Journal, 10(2), 867-874. doi:10.13005/bpj/1179[SJR: 0.19]
  •  Singh, P., Pal, N. R., Verma, S., & Vyas, O. P. (2017). Fuzzy rule-based approach for software fault prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(5), 826-837. doi:10.1109/TSMC.2016.2521840[SCI Indexed with Impact Factor: 13.451]
  •  Sinha, A. K., Singh, P., Prakash, A., Pal, D., Dube, A., & Kumar, A. (2017). Putative drug and vaccine target identification in leishmania donovani membrane proteins using naïve bayes probabilistic classifier. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(1), 204-211. doi:10.1109/TCBB.2016.2570217[SCI Indexed with Impact Factor: 3.71]
  •  Singh, P., Verma, S., & Vyas, O. P. (2014). Software fault prediction at design phase. Journal of Electrical Engineering and Technology, 9(5), 1739-1745. doi:10.5370/JEET.2014.9.5.1739[SCI Indexed with Impact Factor: 1.069]
  

International Conferences

 

  1. Bhalla, A., Nikhila, M. S., & Singh, P. (2020). Simulation of self-driving car using deep learning. Paper presented at the Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 519-525. doi:10.1109/ICISS49785.2020.9315968
  2. Garg, S., & Singh, P. (2020). State-of-the-art review of deep learning for medical image analysis. Paper presented at the Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 421-427. doi:10.1109/ICISS49785.2020.9315931
  3. Nagwani, N. K., & Singh, P. (2009). Bug mining model based on event-component similarity to discover similar and duplicate GUI bugs. Paper presented at the 2009 IEEE International Advance Computing Conference, IACC 2009, 1388-1392. doi:10.1109/IADCC.2009.4809219
  4. Nevendra, M., & Singh, P. (2019). Software bug count prediction via AdaBoost.R-ET. Paper presented at the Proceedings of the 2019 IEEE 9th International Conference on Advanced Computing, IACC 2019, 7-12. doi:10.1109/IACC48062.2019.8971588
  5. Nikhila, M. S., Bhalla, A., & Singh, P. (2020). Text imbalance handling and classification for cross- platform cyber-crime detection using deep learning. Paper presented at the 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, doi:10.1109/ICCCNT49239.2020.9225402
  6. Nikhila, M. S., Kornapalli, V., & Singh, P. (2020). Protected health information de-identification on visual and textual features using transfer learning. Paper presented at the Proceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020, 59-64. doi:10.1109/ICICCS48265.2020.9120961
  7. Sihag, V., Mitharwal, A., Vardhan, M., & Singh, P. (2020). Opcode n-gram based malware classification in android. Paper presented at the Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2020, 645-650. doi:10.1109/WorldS450073.2020.9210386
  8. Singh, P. (2018). Comparative study of individual and ensemble methods of classification for credit scoring. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 968-972. doi:10.1109/ICICI.2017.8365282
  9. Singh, P. (2018). Comprehensive model for software fault prediction. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 1103-1108. doi:10.1109/ICICI.2017.8365311

10.  Singh, P. (2018). Knowledge transfer software fault learning. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 1109-1114. doi:10.1109/ICICI.2017.8365312

11.  Singh, P. (2019). Learning from software defect datasets. Paper presented at the Proceedings of IEEE International Conference on Signal Processing, Computing and Control, , 2019-October 58-63. doi:10.1109/ISPCC48220.2019.8988366

12.  Singh, P. (2019). Stacking based approach for prediction of faulty modules. Paper presented at the 2019 IEEE Conference on Information and Communication Technology, CICT 2019, doi:10.1109/CICT48419.2019.9066206

13.  Singh, P., Dave, A., & Dar, K. (2018). Demonetization: Sentiment and retweet analysis. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 891-896. doi:10.1109/ICICI.2017.8365265

14.  Singh, P., Jain, N., & Maini, A. (2016). Investigating the effect of feature selection and dimensionality reduction on phishing website classification problem. Paper presented at the Proceedings on 2015 1st International Conference on Next Generation Computing Technologies, NGCT 2015, 388-393. doi:10.1109/NGCT.2015.7375147

15.  Singh, P., & Meshram, P. A. (2018). Survey of density based clustering algorithms and its variants. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 920-926. doi:10.1109/ICICI.2017.8365272

16.  Singh, P., Shukla, A., & Vardhan, M. (2018). A novel filter approach for efficient selection and small round blue-cell tumor cancer detection using microarray gene expression data. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 827-831. doi:10.1109/ICICI.2017.8365252

17.  Singh, P., Shukla, A., & Vardhan, M. (2018). Hybrid approach for gene selection and classification using filter and genetic algorithm. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 832-837. doi:10.1109/ICICI.2017.8365253

18.  Singh, P., & Singh, N. (2018). Intelligent approaches for prognosticating post-operative life expectancy in the lung cancer patients. Paper presented at the Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 844-848. doi:10.1109/ICICI.2017.8365255

19.  Singh, P., & Verma, S. (2009). An investigation of the effect of discretization on defect prediction using static measures. Paper presented at the ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, 837-839. doi:10.1109/ACT.2009.212

20.  Singh, P., & Verma, S. (2012). Empirical investigation of fault prediction capability of object oriented metrics of open source software. Paper presented at the JCSSE 2012 - 9th International Joint Conference on Computer Science and Software Engineering, 323-327. doi:10.1109/JCSSE.2012.6261973

21.  Vellamcheti, S., & Singh, P. (2020). Class imbalance deep learning for bankruptcy prediction. Paper presented at the 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020, 421-425. doi:10.1109/ICPC2T48082.2020.9071460

 BOOK CHAPTERS BY INTERNATIONAL PUBLISHERS (SCOPUS INDEXED) 

1.      Nevendra, M., & Singh, P. (2018). Multistage preprocessing approach for software defect data prediction doi:10.1007/978-981-13-1343-1_42 
2.      Shukla, A. K., Singh, P., & Vardhan, M. (2019). DNA gene expression analysis on diffuse large B-cell lymphoma (DLBCL) based on filter selection method with supervised classification method doi:10.1007/978-981-10-8055-5_69 
3.      Shukla, A. K., Singh, P., & Vardhan, M. (2019). Medical diagnosis of parkinson disease driven by multiple preprocessing technique with scarce lee silverman voice treatment data doi:10.1007/978-981-13-1642-5_37 
4.      Singh, D., Sisodia, D. S., & Singh, P. (2019). An empirical analysis of instance-based transfer learning approach on protease substrate cleavage site prediction doi:10.1007/978-981-13-0923-6_6 
5.      Singh, N., & Singh, P. (2020). A stacked generalization approach for diagnosis and prediction of type 2 diabetes mellitus doi:10.1007/978-981-13-8676-3_47 
6.      Singh, N., & Singh, P. (2019). Cardiac arrhythmia classification using machine learning techniques doi:10.1007/978-981-13-1642-5_42 
7.      Singh, P. (2018). Sentiment analysis using tuned ensemble machine learning approach doi:10.1007/978-981-10-8360-0_27 
8.      Singh, P., & Verma, S. (2018). Automated tool for extraction of software fault data doi:10.1007/978-981-10-8360-0_3

 

Details of Publication : Profile in Google Scholar

  1. Nevendra, M., & Singh, P. (2021). Defect count prediction via metric-based convolutional neural network. Neural Computing and Applications, 33(22), 15319-15344. doi:10.1007/s00521-021-06158-5

[SCI Indexed with Impact Factor: 5.606]

 

  1. Sihag, V., Vardhan, M., & Singh, P. (2021). A survey of android application and malware hardening. Computer Science Review, 39 doi:10.1016/j.cosrev.2021.100365

[SCI Indexed with Impact Factor: 7.872]

 

  1. Sihag, V., Vardhan, M., & Singh, P. (2021). BLADE: Robust malware detection against obfuscation in android. Forensic Science International: Digital Investigation, 38 doi:10.1016/j.fsidi.2021.301176

[SCI Indexed with Impact Factor: 2.395]

 

  1. Sihag, V., Vardhan, M., Singh, P., Choudhary, G., & Son, S. (2021). De-lady: Deep learning based android malware detection using dynamic features. Journal of Internet Services and Information Security, 11(2), 34-45. doi:10.22667/JISIS.2021.05.31.034

[SJR: 0.21] 

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2020). An adaptive inertia weight teaching-learning-based optimization algorithm and its applications. Applied Mathematical Modelling, 77, 309-326. doi:10.1016/j.apm.2019.07.046

[SCI Indexed with Impact Factor: 5.129]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2020). Gene selection for cancer types classification using novel hybrid metaheuristics approach. Swarm and Evolutionary Computation, 54 doi:10.1016/j.swevo.2020.100661

[SCI Indexed with Impact Factor: 7.177]

 

  1. Singh, D., Sisodia, D. S., & Singh, P. (2020). Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease. Journal of Biomedical Informatics, 102 doi:10.1016/j.jbi.2020.103376

[SCI Indexed with Impact Factor: 6.317]

 

  1. Singh, P., & Kumar, A. (2020). Deciphering the function of unknown leishmania donovani cytosolic proteins using hyperparameter-tuned random forest. Network Modeling Analysis in Health Informatics and Bioinformatics, 9(1) doi:10.1007/s13721-019-0208-2

9.    [SCI Indexed with Impact Factor: 1.2]

 

  1. Singh, P., & Verma, S. (2020). ACO based comprehensive model for software fault prediction. International Journal of Knowledge-Based and Intelligent Engineering Systems, 24(1), 63-71. doi:10.3233/KES-200029

[SJR: 0.242]

 

  1. Singh, D., Sisodia, D. S., & Singh, P. (2020). Multi-objective evolutionary approach for the performance improvement of learners using ensembling feature selection and discretization technique on medical data. Current Medical Imaging Reviews, 16(4), 355-370. doi:10.2174/1573405614666180903114534

[SCI Indexed with Impact Factor: 0.858]

 

  1. Singh, D., Sisodia, D. S., & Singh, P. (2020). Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites. Soft Computing, 24(13), 9727-9751. doi:10.1007/s00500-019-04487-1

[SCI Indexed with Impact Factor: 3.643]

 

  1. Singh, N., & Singh, P. (2020). Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus. Biocybernetics and Biomedical Engineering, 40(1), 1-22. doi:10.1016/j.bbe.2019.10.001

[SCI Indexed with Impact Factor: 4.314]

 

  1. Singh, N., Singh, P., & Bhagat, D. (2019). A rule extraction approach from support vector machines for diagnosing hypertension among diabetics. Expert Systems with Applications, 130, 188-205. doi:10.1016/j.eswa.2019.04.029

[SCI Indexed with Impact Factor: 6.954]

 

  1. Singh, N., & Singh, P. (2019). A novel bagged naïve bayes-decision tree approach for multi-class classification problems. Journal of Intelligent and Fuzzy Systems, 36(3), 2261-2271. doi:10.3233/JIFS-169937

[SCI Indexed with Impact Factor: 1.851]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2019). A hybrid framework for optimal feature subset selection. Journal of Intelligent and Fuzzy Systems, 36(3), 2247-2259. doi:10.3233/JIFS-169936

[SCI Indexed with Impact Factor: 1.851]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2019). A new hybrid feature subset selection framework based on binary genetic algorithm and information theory. International Journal of Computational Intelligence and Applications, 18(3) doi:10.1142/S1469026819500202

[SJR: 0.283]

 

  1. Singh, D., Sisodia, D. S., & Singh, P. (2019). Cognitive framework for HIV-1 protease cleavage site classification using evolutionary algorithm. Arabian Journal for Science and Engineering, 44(11), 9007-9027. doi:10.1007/s13369-019-03871-1

[SCI Indexed with Impact Factor: 2.334]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2019). A new hybrid wrapper TLBO and SA with SVM approach for gene expression data. Information Sciences, 503, 238-254. doi:10.1016/j.ins.2019.06.063

[SCI Indexed with Impact Factor: 6.795]

  1. Singh, D., Singh, P., & Singh Sisodia, D. (2019). Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction. Artificial Intelligence in Medicine, 101 doi:10.1016/j.artmed.2019.101757

[SCI Indexed with Impact Factor: 5.326]

 

  1. Singh, D., Singh, P., & Sisodia, D. S. (2019). Evolutionary based ensemble framework for realizing transfer learning in HIV-1 protease cleavage sites prediction. Applied Intelligence, 49(4), 1260-1282. doi:10.1007/s10489-018-1323-y

[SCI Indexed with Impact Factor: 5.086]

 

  1. Singh, D., Singh, P., & Sisodia, D. S. (2018). Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction. Expert Systems with Applications, 109, 86-99. doi:10.1016/j.eswa.2018.05.003

[SCI Indexed with Impact Factor: 6.954]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2018). A two-stage gene selection method for biomarker discovery from microarray data for cancer classification. Chemometrics and Intelligent Laboratory Systems, 183, 47-58. doi:10.1016/j.chemolab.2018.10.009

[SCI Indexed with Impact Factor: 3.491]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2018). A hybrid gene selection method for microarray recognition. Biocybernetics and Biomedical Engineering, 38(4), 975-991. doi:10.1016/j.bbe.2018.08.004

[SCI Indexed with Impact Factor: 4.314]

 

  1. Singh, P., & Verma, S. (2018). Multi-classifier model for software fault prediction. International Arab Journal of Information Technology, 15(5), 912-919.

[SCI Indexed with Impact Factor: 0.669]

 

  1. Shukla, A. K., Singh, P., & Vardhan, M. (2018). Neighbour teaching learning based optimization for global optimization problems. Journal of Intelligent and Fuzzy Systems, 34(3), 1583-1594. doi:10.3233/JIFS-169453

[SCI Indexed with Impact Factor: 1.851]

 

  1. Singh, N., & Singh, P. (2017). Rule based approach for prediction of chronic kidney disease: A comparative study. Biomedical and Pharmacology Journal, 10(2), 867-874. doi:10.13005/bpj/1179

[SJR: 0.19]

 

  1. Singh, P., Pal, N. R., Verma, S., & Vyas, O. P. (2017). Fuzzy rule-based approach for software fault prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(5), 826-837. doi:10.1109/TSMC.2016.2521840

[SCI Indexed with Impact Factor: 13.451]

 

  1. Sinha, A. K., Singh, P., Prakash, A., Pal, D., Dube, A., & Kumar, A. (2017). Putative drug and vaccine target identification in leishmania donovani membrane proteins using naïve bayes probabilistic classifier. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(1), 204-211. doi:10.1109/TCBB.2016.2570217

[SCI Indexed with Impact Factor: 3.71]

 

  1. Singh, P., Verma, S., & Vyas, O. P. (2014). Software fault prediction at design phase. Journal of Electrical Engineering and Technology, 9(5), 1739-1745. doi:10.5370/JEET.2014.9.5.1739

[SCI Indexed with Impact Factor: 1.069]

Other Info.

 

Ph. D. Thesis Supervision:

Completed: 

  1.  Alok Kumar Shukla, Hybrid Metaheuristics for Unconstrained Optimization and Feature Selection Problems, 11th May 2019
  2.    Deepak Singh, Investigation of Evolutionary Intelligence on Discriminative Learning with Variant and Invariant Data, 11 Sep 2019
  3. Namrata Singh, Development of Hybrid Ensemble Methods for Classification of Medical Data, 28th June 2021

 In Progress:

  1.  Meetesh Nevendra :     Investigation of homogeneous and heterogeneous software defect prediction techniques
  2. Vikash Kumar Sihag : An Effective Behavior-based Malware Detection  System for Android
  3.  Shankey Garg : Investigation of Various Deep Learning Based Techniques for the Classification of Diseases Using Images

 

Training Programs/Seminars /Workshops Organized

 

1.       One Week Self Sponsored Short Term Training Program (STTP) on “Big Data Processing using Hadoop: Implementation, Usage and Applications”, National Institute of Technology Raipur, 9th-13th December 2017. (Role: Coordinator)

2.       One Week Self Sponsored Short Term Training Program (STTP) on “Machine Learning Tools and Techniques (MLTT)”, National Institute of Technology Raipur, 10th-14th November 2017. (Role: Coordinator)

3.       One Week TEQIP-III Sponsored Short Term Training Program (STTP) on “Deep Learning and Its Applications” National Institute of Technology Raipur, 28th September to 2nd October 2017. (Role: Coordinator)

4.       One Week TEQIP-II Sponsored Short Term Training Program (STTP) on “Soft Computing and Intelligent Techniques in Science and Technology (SCI-TSE-2016)” National Institute of Technology Raipur, from 30th September to 4th October 2016. (Role: Coordinator)

5.       One Week Self Sponsored Short Term Training Program  om “Python Programming and its Application” organizing by the Department of Computer Science and Engineering & Information Technology from 19th June to 23rd June 2019.   (Role: Convener)

6.       One Week National Workshop on “Programming, Simulation and Optimization using MATLAB”  organized by  Department of Computer Science and Engineering during 22nd – 26th August, 2019. (Role: Convener)

 

Conference Organized 

 

1.       National Conference on Soft Computing and Intelligent Techniques in Science and Engineering (SCITSE-2017), National Institute of Technology Raipur, November 25, 2017. (Role: Conference Secretary).

2.       National Conference on Recent Advancement in Computing, Communication, and Bioinformatics (RAC2B-2017), National Institute of Technology Raipur, December 9, 2017. (Role: Conference Secretary).

 

Guest lecture/ Invited lecture/Keynote

 

1.       National Institute of Technology Raipur, Department of Electrical Engineering and Department of Computer Applications  “Soft Computing  & Data Mining Techniques (SCDMT-2016)” which was held on during June 20-24, 2016, 

2.       National Institute of Technology Raipur, Computer Science & Engineering department invited for a talk on Classifiers “Soft Computing and Intelligent Techniques in Science and Engineering” which was held on 30thSep-04th October 2016.

3.       Machine Learning Tools and Techniques (MLTT)”, National Institute of Technology Raipur, 10th-14th November 2017

4.       Soft Computing and Intelligent Techniques in Science and Technology (SCI-TSE-2016)” National Institute of Technology Raipur, from 30th September to 4th October 2016 

 

5.       Programming, Simulation and Optimization using MATLAB”  organized by  Department of Computer Science and Engineering during 22nd – 26th August, 2019 

 

Fellowship/Awards/Other recognitions:

Research Fellowship in 2012 by Indian Academy of Sciences ,Bangalore Indian National Science Academy ,New Delhi ,The National Academy of Sciences, India Allahabad (IASc-INSA-NASI ) to work with Prof. Nikhil R. Pal, Indian Statistical Institute, Kolkata.


Professional Affiliations:

  • Professional Member, Association of Computing Machinery(ACM),USA
  • Member, Institute of Electrical and Electronics Engineers(IEEE),USA
  • Life Member, Indian Society for Technical Education (ISTE), India
  • Member, International Association of Computer Sc. & IT ,Singapore
  • Member, International Association of Engineers( IAE), Hong Kong
  • Life Member, Computer Society of India (CSI), India
  • Life Member, Institute of Electronics and Telecommunication Engineers (IETE), India,
  • Life Member, Institute of Engineers India (IEI)


Other Professional Activities:

  • Program committee member 2013 IEEE Second International Conference on Image Information Processing (ICIIP -2013) December 9 - 11, 2013 Jaypee University of Information Technology Waknaghat, Shimla, Himachal Pradesh, INDIA
  • Program committee member 2013 of International Conference on Advanced Computing, Networking, and Informatics [ ICACNI-2013] 12-14 June at CIT ,Raipur
  • Chaired a session in the International Conference on Advance Computing Control and Telecommunication, ACT 2009
  • Member of program committee of 2nd International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2014) on 18-20 June 2014
  • Member of program committee of ICACNI 2015 (3rd International Conference on Advanced Computing, Networking, and Informatics).
  • Member of program committee of ICIIS2014 (9th International Conference on Industrial and Information Systems 2014)
  • Reviewer in various International Journals
  • Reviewer of Journals of Knowledge-Based Systems Published by Elsevier

Administrative Responsibilities:

  • An Active member of the following committees at NIT, Raipur
  • Warden Boy’s Hostel-H(Sirpur),NIT Raipur
  • Working as member of Website Committee
  • Member, Departmental board of Studies, NIT Raipur.
  • Member, Departmental Purchase Committee, NIT Raipur
  • Member, Discipline and Anti-Ragging committee, NIT Raipur.
  • Worked as Assistant Controller of Examination Apr-May 2010
  • Member BOS of CSE Department
  • Scrutinizing and Recommending the Uniform Course Structure Committee
  • Worked as member of technical committee for organizing technical events
  • Worked as member of team to carry out counselling and admission work for CCB counselling 2009


Short Term Training Programs/CEPs/Workshops Attended:

  • Software Engineering Application for Computer Networks 8 Dec 2011 to 10 Dec 2011 Deptt Of Computer Sc & Engineering ,NIT Rourkela
  • Selected topics on Distributed System & Computer Security 30May2011 to 03June 2011 ISTE, Indo Us Collaboration for Engineering Education and Juet
  • Database Management System 13 /12/ 2010 to 23 /12/2010 IIT Bombay
  • Convergence of Technology Management and Global Business 20 Dec2011 NIT Raipur
  • .NET Technology Using C# 5th July2004 to 9th July2004 UP Technical Univ ,Lucknow & Microsoft Corp.(India ) Pvt.Ltd
  • Wireless Networks (Research Issue) 5th Feb 2005 MNNIT, Allahabad
  • IEEE workshop on computational Intelligence: Theories, Applications and Future Directions, IIT Kanpur 14th July, 2013, 2013 IIT Kanpur
  • QIP Short term course on Intelligent Informatics 15th July 2013 19th July 2013 IIT Kanpur

 

B. Tech. Project Supervision: (8th Semester Major Project list Spring 2018)

S.No.

Roll No

Student Name

Project Title

1

14115007

ALLA TARUN SANKAR

Image Classification Using CNN and Transfer Learning

2

14115011

ANSHUL VERMA

A CNN Based Approach For Sentiment Analysis Using Word Embedding for Multiple Domains

3

14115012

ANTARA KALE

Yolo-Based Real Time Animal Surveillance Approach

4

14115018

APPIKATLA SUJITH KUMAR

Multitask Learning Using LSTM Networks on Language Tasks

5

14115029

DIWAN CHANDRA PATLE

Low Cost Home Automation System using IOT

6

14115030

DONEPATHI MANOJ DEVAN

Multitask Learning Using LSTM Networks on Language Tasks

7

14115031

G J S M MAHESWARI

Personality Traits Detection Using Recurrent Neural Networks with LSTM Units

8

14115037

HARSHDEEP KAUR

Autonomous Navigation of Quadcopter Ariel Vehicle

9

14115043

KARNATI RISHIKESH REDDY

Image Classification Using CNN and Transfer Learning

10

14115044

KASTALA BHANODAY SAI

An Ensemble Method to Evaluate the Number of Bugs in Software Projects

11

14115068

POSHAN KUMAR

Low Cost Home Automation System using IOT

12

14115092

VINITA NIRMAL

Comparative Analysis of Various Methods used to recognize ransom-wares and their classes

13

14115901

AISHWARYA SRIVASTAVA

A Random Forest Model Using Feature Selection Method and Handling Class Imbalance Problem

 

 

FOR STUDENTS

Click here for  Summer Internship details 
 Courses and Assignments

 

Flag Counter

·         One Week Self Sponsored Short Term Training Program (STTP) on “Big Data Processing using Hadoop: Implementation, Usage and Applications”, National Institute of Technology Raipur, 9th-13th December 2017. (Role: Coordinator)

·         One Week Self Sponsored Short Term Training Program (STTP) on “Machine Learning Tools and Techniques (MLTT)”, National Institute of Technology Raipur, 10th-14th November 2017. (Role: Coordinator)

·         One Week TEQIP-III Sponsored Short Term Training Program (STTP) on “Deep Learning and Its Applications” National Institute of Technology Raipur, 28th September to 2nd October 2017. (Role: Coordinator)

·         One Week TEQIP-II Sponsored Short Term Training Program (STTP) on “Soft Computing and Intelligent Techniques in Science and Technology (SCI-TSE-2016)” National Institute of Technology Raipur, from 30th September to 4th October 2016. (Role: Coordinator)

·         National Conference on Soft Computing and Intelligent Techniques in Science and Engineering (SCITSE-2017), National Institute of Technology Raipur, November 25, 2017. (Role: Conference Secretary).

·         National Conference on Recent Advancement in Computing, Communication, and Bioinformatics (RAC2B-2017), National Institute of Technology Raipur, December 9, 2017. (Role: Conference Secretary).