Q1 Journals:- ( 17)

1.   Jagat, Rikhi Ram, Dilip Singh Sisodia, and Pradeep Singh. "Exploiting Web Content Semantic Features to Detect Web Robots from Weblogs." Journal of Network and Computer Applications 230 (2024): Article 103975. https://doi.org/10.1016/j.jnca.2024.103975. Impact Factor: 7.7
2. Jagat, Rikhi Ram, Dilip Singh Sisodia, and Pradeep Singh. "Detecting Web Attacks from HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network." IEEE Transactions on Services Computing 17, no. 5 (2024): 2210–2222. https://doi.org/10.1109/TSC.2024.3453748. Impact Factor: 5.5
3. Singh, Deepak, Dilip Singh Sisodia, and Pradeep Singh. "Cognitive Framework for HIV-1 Protease Cleavage Site Classification Using Evolutionary Algorithm." Arabian Journal for Science and Engineering 44, no. 11 (2019): 9007–9027. DOI: 10.1007/s13369-019-03871-1.  Impact Factor: 2.6
4. Asudani, Deepak Suresh, Naresh Kumar Nagwani, and Pradeep Singh. "Impact of Word Embedding Models on Text Analytics in Deep Learning Environment: A Review." Artificial  Intelligence Review 56, no. 9 (2023): 10345–10425. https://doi.org/10.1007/s10462-023-10419-1  Impact Factor: 14.75 (2023)
5. Singh, Deepak, Dilip Singh Sisodia, and Pradeep Singh. "Compositional Framework for Multitask Learning in the Identification of Cleavage Sites of HIV-1 Protease." Journal of Biomedical Informatics 102 (2020): Article No. 103376. https://doi.org/10.1016/j.jbi.2020.103376 Impact Factor: 4.00
6. Sihag, Vikas, Manu Vardhan, and Pradeep Singh. "A Survey of Android Application and Malware Hardening." Computer Science Review 39 (2021): Article 100365. DOI: 10.1016/j.cosrev.2021.100365. Cited 57 times. Impact Factor: 13.3
7. Singh, Namrata, and Pradeep Singh. "Stacking-Based Multi-Objective Evolutionary Ensemble Framework for Prediction of Diabetes Mellitus." Biocybernetics and Biomedical Engineering 40, no. 1 (2020): 1–22. https://doi.org/10.1016/j.bbe.2019.10.001. Impact Factor: 5.3
8. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "An Adaptive Inertia Weight Teaching-Learning-Based Optimization Algorithm and Its Applications." Applied Mathematical Modelling 77 (2020): 309–326. DOI: 10.1016/j.apm.2019.07.046.  Impact Factor: 4.4
9. Nevendra, Meetesh, and Pradeep Singh. "Empirical Investigation of Hyperparameter Optimization for Software Defect Count Prediction." Expert Systems with Applications 191 (2022): Article 116217. DOI: 10.1016/j.eswa.2021.116217. Impact Factor: 7.5
10. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "Gene Selection for Cancer Types Classification Using Novel Hybrid Metaheuristics Approach." Swarm and Evolutionary Computation 54 (2020): Article No. 100661. https://doi.org/10.1016/j.swevo.2020.100661 Impact Factor: 8.2 
11. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "A New Hybrid Wrapper TLBO and SA with SVM Approach for Gene Expression Data." Information Sciences 503 (2019): 238–254. DOI: 10.1016/j.ins.2019.06.063.  Impact Factor:
12. Singh, Deepak, Pradeep Singh, and Dilip Singh Sisodia. "Compositional Model Based on Factorial Evolution for Realizing Multi-Task Learning in Bacterial Virulent Protein Prediction." Artificial Intelligence in Medicine 101 (2019): Article ID 101757. https://doi.org/10.1016/j.artmed.2019.101757.Impact Factor: 6.1
13. Singh, Namrata, Pradeep Singh, and Deepika Bhagat. "A Rule Extraction Approach from Support Vector Machines for Diagnosing Hypertension Among Diabetics." Expert Systems with Applications 130 (2019): 188–205. https://doi.org/10.1016/j.eswa.2019.04.029.Impact Factor: 7.5
14. Singh, Deepak, Pradeep Singh, and Dilip Singh Sisodia. "Evolutionary Based Optimal Ensemble Classifiers for HIV-1 Protease Cleavage Sites Prediction." Expert Systems with Applications 109 (2018): 86–99. https://doi.org/10.1016/j.eswa.2018.05.003.Impact Factor: 7.5
15. Singh, Deepak, Pradeep Singh, and Dilip Singh Sisodia. "Evolutionary Based Optimal Ensemble Classifiers for HIV-1 Protease Cleavage Sites Prediction." Expert Systems with Applications 109 (2018): 86–99. https://doi.org/10.1016/j.eswa.2018.05.003.Impact Factor: 7.5
16. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "A Hybrid Gene Selection Method for Microarray Recognition." Biocybernetics and Biomedical Engineering 38, no. 4 (2018): 975–991. https://doi.org/10.1016/j.bbe.2018.08.004. Impact Factor: 5.3
17. Singh, Pradeep, Nikhil R. Pal, Shrish Verma, and Om Prakash Vyas. "Fuzzy Rule-Based Approach for Software Fault Prediction." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 5 (2017): 826–837. https://doi.org/10.1109/TSMC.2016.2521840 Impact Factor: 8.6   
     Q2 Journal: (15)
18.  Asudani, Deepak Suresh, Naresh Kumar Nagwani, and Pradeep Singh. "A Comparative Evaluation of Machine Learning and Deep Learning Algorithms for Question Categorization of VQA Datasets." Multimedia Tools and Applications 83, no. 19 (2024): 57829–57859. https://doi.org/10.1007/s11042-023-17797-2.  Impact Factor: 3.0
19. Rajanand, Ashish, and Pradeep Singh. "ErfReLU: Adaptive Activation Function for Deep Neural Network." Pattern Analysis and Applications 27, no. 2 (2024): 68. https://doi.org/10.1007/s10044-024-01277-w. Impact Factor: 3.7
20. Jagat, Rikhi Ram, Dilip Singh Sisodia, and Pradeep Singh. "DISET: A Distance-Based Semi-Supervised Self-Training for Automated Users’ Agent Activity Detection from Web Access Log." Multimedia Tools and Applications 82, no. 13 (2023): 19853–19876. https://doi.org/10.1007/s11042-022-14258-0.  Impact Factor: 3.0
21. Garg, Shankey, and Pradeep Singh. "An Aggregated Loss Function Based Lightweight Few Shot Model for Plant Leaf Disease Classification." Multimedia Tools and Applications 82, no. 15 (2023): 23797–23815. DOI: 10.1007/s11042-023-14372-7. Impact Factor: 3.0
22. Singh, Deepak, Dilip Singh Sisodia, and Pradeep Singh. "Multi objective Evolutionary-Based Multi-Kernel Learner for Realizing Transfer Learning in the Prediction of HIV-1 Protease Cleavage Sites." Soft Computing 24, no. 13 (2020): 9727–9751. https://doi.org/10.1007/s00500-019-04487-1   Impact Factor: 3.1
23. Sihag, Vikas, Gaurav Choudhary, Manu Vardhan, Pradeep Singh, and Jung Taek Seo. "PICAndro: Packet InspeCtion-Based Android Malware Detection." Security and Communication Networks 2021 (2021): Article ID 9099476. https://doi.org/10.1155/2021/9099476. Impact Factor: 1.968
24. Singh, Deepak, Pradeep Singh, and Dilip Singh Sisodia. "Evolutionary Based Ensemble Framework for Realizing Transfer Learning in HIV-1 Protease Cleavage Sites Prediction." Applied Intelligence 49, no. 4 (2019): 1342–1359. https://doi.org/10.1007/s10489-018-1287-x Impact Factor: 3.4
25. Garg, Shankey, and Pradeep Singh. "Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification." IEEE/ACM Transactions on Computational Biology and Bioinformatics 20, no. 2 (2023): 1529–1539. https://doi.org/10.1109/TCBB.2022.3174091. Impact Factor: 3.6
26. Singh, Namrata, and Pradeep Singh. "A Hybrid Ensemble-Filter Wrapper Feature Selection Approach for Medical Data Classification." Chemometrics and Intelligent Laboratory Systems 217 (2021): Article 104396. DOI: 10.1016/j.chemolab.2021.104396. Cited 74 times. Impact Factor: 3.7
27. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "A Two-Stage Gene Selection Method for Biomarker Discovery from Microarray Data for Cancer Classification." Chemometrics and Intelligent Laboratory Systems 183 (2018): 47–58. https://doi.org/10.1016/j.chemolab.2018.10.009 Impact Factor: 3.7
28. Sihag, Vikas, Manu Vardhan, and Pradeep Singh. "BLADE: Robust Malware Detection Against Obfuscation in Android." Forensic Science International: Digital Investigation 38 (2021): Article No. 301176. https://doi.org/10.1016/j.fsidi.2021.301176 Impact Factor: 2.0 
29. Sinha, Arvind Kumar, Pradeep Singh, Anand Prakash, Dharm Pal, Anuradha Dube, and Awanish Kumar. "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, no. 1 (2017): 204–211. https://doi.org/10.1109/TCBB.2016.2570217. Impact Factor: 3.6
30. Singh, Pradeep, Shrish Verma, and Om Prakash Vyas. "Software Fault Prediction at Design Phase." Journal of Electrical Engineering and Technology 9, no. 5 (2014): 1739–1745. https://doi.org/10.5370/JEET.2014.9.5.1739  Impact Factor: 1.6
31. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "A Hybrid Framework for Optimal Feature Subset Selection." Journal of Intelligent and Fuzzy Systems 36, no. 3 (2019): 2247–2259. https://doi.org/10.3233/JIFS-169936. Impact Factor: 1.7
32. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "Neighbour Teaching Learning Based Optimization for Global Optimization Problems." Journal of Intelligent and Fuzzy Systems 34, no. 3 (2018): 1583–1594. DOI: 10.3233/JIFS-169453.  Impact Factor: 1.7   
    Q3 Journal:-  (3)
33. Shukla, Alok Kumar, Pradeep Singh, and Manu Vardhan. "A New Hybrid Feature Subset Selection Framework Based on Binary Genetic Algorithm and Information Theory." International Journal of Computational Intelligence and Applications 18, no. 3 (2019): Article ID 1950020. https://doi.org/10.1142/S1469026819500202.
34. Singh, Namrata, and Pradeep Singh. "A Novel Bagged Naïve Bayes-Decision Tree Approach for Multi-Class Classification Problems." Journal of Intelligent and Fuzzy Systems 36, no. 3 (2019): 2261–2271. https://doi.org/10.3233/JIFS-169937. Impact Factor: 1.7
35. Singh, Pradeep, and Awanish Kumar. "Deciphering the Function of Unknown Leishmania donovani Cytosolic Proteins Using Hyperparameter-Tuned Random Forest." Network Modeling Analysis in Health Informatics and Bioinformatics 9, no. 1 (2020): Article 2. DOI: 10.1007/s13721-019-0208-2.  Impact Factor: 2.0     
    Q4 Journal:- (2)
36. Singh, Pradeep, and Shrish Verma. "ACO Based Comprehensive Model for Software Fault Prediction." International Journal of Knowledge-Based and Intelligent Engineering Systems 24, no. 1 (2020): 63–71. https://doi.org/10.3233/KES-200029.
37. Singh, Namrata, and Pradeep Singh. "Rule-Based Approach for Prediction of Chronic Kidney Disease: A Comparative Study." Biomedical and Pharmacology Journal 10, no. 2 (2017): 867–874. https://doi.org/10.13005/bpj/1179.

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

9.  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

Details of Publication : Profile in Google Scholar

Sponsored  Research Projects

Ph. D. Thesis Supervision:

Completed:

 In Progress:

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

Brief Profile:

Dr. Pradeep Singh holds a Ph.D. in Computer Science and Engineering from the National Institute of Technology, Raipur, and an M.Tech. in Software Engineering from the Motilal Nehru National Institute of Technology, Allahabad, India. He is currently the working as Professor in the  Department of Computer Science & Engineering, National Institute of Technology Raipur. With over twenty years of experience in various government and reputed engineering institutes, Dr. Singh has established himself as a distinguished academic and researcher. His current research interests include Artificial Intelligence, Machine Learning, and Image Processing.

Dr. Singh has an impressive publication record, with over 150 refereed articles in journals, conference proceedings, and books. His research work has been published in prestigious journals, including IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, and Swarm and Evolutionary Computation. 

Dr. Singh has demonstrated exemplary leadership in research and innovation as the Principal Investigator (PI) or Co-Principal Investigator (Co-PI) of multiple nationally funded research projects, amounting to a total financial outlay of over ₹524.43 lakhs (₹5.24 crores). These projects span a broad range of interdisciplinary domains including Artificial Intelligence, Cybersecurity, Machine Learning for Industrial Forecasting, AI in Healthcare, Precision Agriculture, and Smart Transportation Systems.

He has organized Six international conferences technically sponsored by IE and CSI and has been a member of the organizing committee for several IEEE international conferences in India and abroad. Dr. Singh has also visited several universities in Singapore, Spain, and Croatia, Indonesia.

Under his guidance, eight  scholars have obtained their Ph.D. degrees, and six more are currently working towards their doctorate. Dr. Singh has delivered numerous invited talks and plenary conference and seminar presentations across the country and has chaired technical sessions at international and national conferences in India.

He is an active reviewer for several prominent journals, including those published by IEEE and Elsevier. Dr. Singh is a Senior member of the IEEE Computer Society, the International Association of Computer Science and Information Technology, the Computer Society of India, the International Association of Engineers, and the Association for Computing Machinery.

Dr. Singh is AMONGST THE TOP 1000 RESEARCHERS IN THE COUNTRY  ( Based on academic output in SCOPUS indexed journals, citation counts and h-index). He is also recognized as one of the World's Top 2% Researchers and Influential Scientists in 2023, 2024  and 2025 by Stanford University in the field of Artificial Intelligence and Image Processing  (The list was prepared by Scientists from Stanford University USA & Published by Elsevier).

Recently he has  been awarded the prestigious Responsible AI-Themed Projects under the Safe & Trusted AI Pillar of the IndiaAI Mission, by the Ministry of Electronics and Information Technology, Government of India. Through his academic leadership and interdisciplinary research, Dr. Pradeep Singh continues to inspire innovation, societal impact, and technological advancement in the field of Artificial Intelligence. 

FOR STUDENTS