Dr. Dilip Singh Sisodia

Department Computer Science & Engineering
Designation Assistant Professor & Head of the Department
Educational Qualification Ph.D. (Computer Science & Engineering), M.Tech. (Information Technology with Specialization in Artificial Intelligence), B.E. (Computer Science & Engineering)
E-Mail dssisodia.cs@nitrr.ac.in
Contact Number 8462808174
Areas of Interest
  • Applications of Machine Learning and Soft Computing Techniques
  • Artificial Intelligence
  • Computational Intelligence
  • Biomedical Image/Signal Processing
  • Theoretical Computer Science
Publications

Updated list of publications are maintained by: Google Scholar | Scopus | Clarivate Analytics (Web of Science) | DBLP | Semantic Scholar | ResearchGate

International Journals:

  • Arati Anuragi, Dilip Singh Sisodia, Rambilas Pachori.  Automated FBSE-EWT based Learning Framework for Detection of Epileptic Seizures using Time-segmented EEG Signals, Computers in Biology and Medicine, 2021.
  • Deepti Sisodia, and Dilip Singh Sisodia. Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset, Engineering Science and Technology, an International Journal, 2021. 
  • Deepti Sisodia, and Dilip Singh Sisodia. Data Sampling Strategies for Click Fraud Detection Using Imbalanced User Click Data of Online Advertising: An Empirical Review, IETE Technical Review , 2021. 
  • Aakanksha Sharaff, Jitesh Kumar Dewangan, Dilip Singh Sisodia.  Prospecting the Effect of Topic Modeling in Information Retrieval, International Journal on Semantic Web and Information Systems (IJSWIS), 17(3), 18-34, 2021. 
  • Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani. Multi-function Prediction of Unknown Protein Sequences Using Multilabel Classifiers and Augmented Sequence Features, Iranian Journal of Science and Technology, Transactions A: Science, vol.45, pp. 1177–1189, 2021. 
  • Deepti Sisodia, and Dilip Singh Sisodia. Gradient boosting learning for fraudulent publisher detection in online advertising, Data Technologies and Applications, vol. 55(2), pp. 216–232, 2021.
  • Abinash Pujahari, Dilip Singh Sisodia. Preference relation based collaborative filtering with graph aggregation for group recommender system, Applied Intelligence, vol.51(2), pp. 658-672, 2021. 
  • Abinash Pujahari, Dilip Singh Sisodia. Clickbait Detection using Multiple Categorization Techniques, Journal of Information Science, vol. 47 (1), pp. 118-128 2021. 
  • Abinash Pujahari, Dilip Singh Sisodia. Aggregation of preference relations to enhance the ranking quality of collaborative filtering-based group recommender system, Expert Systems with Applications, vol. 156, 2020. 
  • Abinash Pujahari, Dilip Singh Sisodia. Pair-Wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System, Knowledge-Based Systems, vol.196, 2020. 
  • Deepak Singh, Dilip Singh Sisodia, Pradeep Singh. Compositional Framework for Multitask Learning in the Identification of Cleavage Sites of HIV-1 protease, Journal of Biomedical Informatics, vol. 102, 103376, 2020. 
  • Arati Anuragi, Dilip Singh Sisodia. Empirical Wavelet Transform based Automated Alcoholism Classification using EEG Signal Features, Journal of Biomedical Signal Processing and Control, 2020. 
  • Arati Anuragi, Dilip Singh Sisodia, Rambilas Pachori. Automated Alcoholism Detection using Fourier-Bessel Series Expansion Based Empirical Wavelet Transform, IEEE Sensors Journal, vol.20(9), pp.4914-4924, 2020. 
  • Deepak Singh, Dilip Singh Sisodia, Pradeep Singh, Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites, Soft Computing, 24(13), pp. 9727-9751 2020.
  • Deepak Singh, Pradeep Singh, Dilip Singh Sisodia. Compositional Model based on Factorial Evolution for Realizing Multi-Task Learning in Bacterial Virulent Protein Prediction, Artificial Intelligence in Medicine, vol.101, pp.1-16, 2019.
  •  Deepak Singh, Dilip Singh Sisodia, Pradeep Singh. Cognitive Framework for HIV-1 Protease Cleavage Site Classification using Evolutionary Algorithm, Arabian Journal for Science and Engineering, vol. 44, issue 11, pp 9007–9027, 2019. 
  • Arati Anuragi, Dilip Singh Sisodia. Alcohol Use Disorder Detection Using EEG Signal features and Flexible Analytical Wavelet Transform, Journal of Biomedical Signal Processing and Control, vol. 52, pp. 384-393, 2019. 
  • Abinash Pujahari, Dilip Singh Sisodia. Modeling Side Information in Preference Relation based Restricted Boltzmann Machine for Recommender Systems, Information Sciences, vol. 490, pp.126-145, 2019. 
  • D. Singh, D.S. Sisodia, P. Singh. Evolutionary Based Ensemble Framework for Realizing Transfer Learning in HIV-1 Protease Cleavage Sites Prediction, Applied Intelligence, 49(4), pp.1260-1282, 2019.
  • Hari Shrawgi, Dilip Singh Sisodia. Convolution Neural Network Model for Predicting Single Guide RNA Efficiency in CRISPR/Cas9 System, Chemometrics and Intelligent Laboratory Systems, vol. 189, pp.149-154, 2019. 
  • D. Singh, D.S. Sisodia, P. Singh. A New Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensemble Feature selection and Discretization Technique on Medical data, Journal of Current Medical Imaging Reviews, Vol. 16(4), pp. 355-370 2020. 
  • D. Singh, P. Singh, D.S. Sisodia. Evolutionary-based Optimal Ensemble Classifiers for HIV-1 Protease Cleavage Sites Prediction, Expert Systems with Applications, vol.109 pp. 86-99, 2018.
  • Sisodia, D.S. “A Subtractive Medoids Selection Based Fuzzy Relational Clustering of Augmented Web User Sessions”, Journal of Intelligent & Fuzzy Systems, 33(4), pp. 2259-2268, 2017. 
  • D.S. Sisodia, V. Khandal, and R. Singhal, “Fast Prediction of Web User Browsing Behaviours Using Most Interesting Patterns,” Journal of Information Science, 44(1), pp. 74-90, 2018. 
  • D.S. Sisodia, S. Verma, O.P. Vyas “A Discounted Fuzzy Relational Clustering of Web Users’ Using Intuitive Augmented Sessions Dissimilarity Metric,” IEEE Access, vol. 4(1), pp. 6883 - 6893, 2016. 
  • D.S. Sisodia, S. Verma, O.P. Vyas “Augmented Intuitive Dissimilarity Metric for Clustering of Web User Sessions”, Journal of Information Science, 43(4), pp. 480-491, 2017.
  • D.S. Sisodia, U. Verma. Distinct Multiple Learner-Based Ensemble SMOTEBagging (Ml-ESB) Method for Classification of Binary Class Imbalance Problems, International Journal of Technology, 10(4), 2019, pp. 721-730. 
  • Sisodia, D.S. Ensemble Learning Approach for Clickbait Detection Using Article Headline Features. Informing Science: The International Journal of an Emerging Transdiscipline, Vol. 22, pp.031-044, 2019. 
  • D.S. Sisodia, U. Verma. The Impact of Data Re-Sampling on Learning Performance of Class Imbalanced Bankruptcy Prediction Models, International Journal on Electrical Engineering and Informatics, 10(3), pp.433-446, 2018. 
  • D.S. Sisodia, R. Singhal, and V. Khandal, “Comparative Performance of Interestingness Measures to Find Redundant and Non-Informative Rules from Web Usage Data” International Journal of Technology, 9(1), 2018, pp. 201-211. 
  • D.S. Sisodia, "Augmented Session Similarity Based Framework for Measuring Web User Concern from Web Server Logs," International Journal on Advanced Science, Engineering and Information Technology, 7(3), pp. 1007-1013, 2017. 
  • D.S. Sisodia, R. Singhal, and V. Khandal, “A Performance Review of Intra and Inter-Group MANET Routing Protocols under Varying Speed of Nodes” International Journal of Electrical and Computer Engineering, 7(5), pp. 2721-2730, 2017. 
  •  Sisodia, D.S., S.Nair, P. Khobragade. “Diabetic Retinal Fundus Images: Preprocessing and Feature Extraction for Early Detection of Diabetic Retinopathy” Biomedical and Pharmacology Journal, 10(2), pp. 615-624, 2017. 
  • D.S. Sisodia, R. Singhal, and V. Khandal, “A Comprehensive Comparative Performance of Different Mobile Ad-Hoc Network Routing Protocols with Increasing Node Instances” Far East Journal of Electronics and Communications, 17(5), 2017, pp. 1047-1064. 
  • D.S. Sisodia, S. Verma, O.P. Vyas “A Subtractive Relational Fuzzy C-Medoids Clustering Approach to Cluster Web User Sessions from Web Server Logs” International Journal of Applied Engineering and Research, 12(7), 2017, pp 1142-1150. 
  • D.S. Sisodia, Sagar Jadhav “Evaluation of Mutual Influence and Correlation Performance between Global Stock Indices Using Unsupervised Learning”, International Journal of Applied Business and Economic Research, Vol. 15(19), 2017, pp.125-137. 
  • D.S. Sisodia, S. Verma, O.P. Vyas “Performance Evaluation of an Augmented Session Dissimilarity Matrix of Web User Sessions Using Relational Fuzzy C-means clustering” International Journal of Applied Engineering and Research, 11(9), 2016, pp 6497-6503. 
  • D.S. Sisodia, S. Verma, O.P. Vyas “A Conglomerate Relational Fuzzy Approach for Discovering Web User Session Clusters from Web Server Logs”, International Journal of Engineering and Technology”, 8(3), 2016, pp 1433-1443. 
  • D.S. Sisodia, S. Verma, O.P. Vyas “Quantitative Evaluation of Web User Session Dissimilarity measures using medoids based Relational Fuzzy clustering”, Indian Journal of Science and Technology, 9(28), 2016, pp 1-9.
  • D.S. Sisodia, S. Verma, O.P. Vyas. A Comparative Analysis of Browsing Behavior of Human Visitors and Automatic Software Agents. American Journal of Systems and Software, 3(2), 2015, pp 31-35. 
  • Sisodia, D.S, Verma, S. and Vyas, O. (2015) Agglomerative Approach for Identification and Elimination of Web Robots from Web Server Logs to Extract Knowledge about Actual Visitors. Journal of Data Analysis and Information Processing, 3(1), 1-10. 

Books:

  • D.S. Sisodia, R.B. Pachori, and L. Garg, Advancement of artificial intelligence in healthcare engineering, IGI Global, USA, 2020, ISBN: 978-1-7998-2120-5. 

Book Chapters:

  • Singh, D., Sisodia, D.S, Singh, P. (2020). Evolutionary Intelligence-Based Feature Descriptor Selection for Efficient Identification of Anti-Cancer Peptides. In: Sisodia, D., Pachori, R., Garg, L., (Eds.) Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering. Hershey, PA: IGI Global. 
  • Sisodia, D.S., Reddy, N.K., Bhandari, S. and Pujahari, A. (2019) A Comparative Performance of Learners for Sentiment Analysis of Movie Viewers using Open Reviews. In: Pant M., Basterrech S., Sharma T., Banerjee C. (eds) Performance Management of Integrated Systems and it's Applications in Software Engineering, pp.107-117. Springer, Singapore. 
  • Sisodia, D.S. & Shukla, A. (2019) Investigation of Feature Selection Techniques on Performance of Automatic Text Categorization. In: Shukla R., Agrawal J., Sharma S., Tomar G. (eds) Data, Engineering and Applications, Vol.-I, pp.71-82. Springer, Singapore. 
  • Sisodia, D. S., & Reddy, R. (2019). Analysis of Public Sentiments about Mega Online Sale Using Tweets on Big Billions Day Sale. In D. Rajput, R. Thakur, & S. Basha (Eds.), Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 59-76). Hershey, PA: IGI Global.    
  • Singh, D., Sisodia, D.S, Singh, P. (2019). Genetic Algorithm based Pre-processing strategy for High Dimensional Micro-array Gene Classification: Application of Nature Inspired Intelligence. In: Banati, H., Mehta. S., Kaur, P., (Eds.) Nature-Inspired Algorithms for Big Data Frameworks. Hershey, PA: IGI Global. 
  • Sisodia, D.S., Jadhav,S. (2018). Machine Learning Models for Forecasting of Individual Stocks Price Patterns. In Tiwari, V., Thakur, R. S., Tiwari, B., & Gupta, S (Eds.) Handbook of Research on Pattern Engineering System Development for Big Data Analytics, pp.111-129. Hershey, PA: IGI Global.  (Indexed in Scopus) 
  • Sisodia, D.S. (2018). A Relative Performance of Dissimilarity Measures for Matching Relational Web Access Patterns between User Sessions. In Tiwari, V., Thakur, R. S., Tiwari, B., & Gupta, S (Eds.) Handbook of Research on Pattern Engineering System Development for Big Data Analytics, pp.177-192. Hershey, PA: IGI Global. (Indexed in Scopus) 
  • Sisodia, D.S. (2018). Web Access Patterns of Actual Human Visitors and Web Robots: A Correlated Examination. In Tiwari, V., Thakur, R. S., Tiwari, B., & Gupta, S (Eds.) In Handbook of Research on Pattern Engineering System Development for Big Data Analytics, pp.193-215. Hershey, PA: IGI Global: (Indexed in Scopus) 

International Conferences:

  • Sisodia, Dilip Singh, Inakollu Neha Priyanka, and Prodduturi Amulya. "Longest Common Subsequence based Multistage Collaborative Filtering for Recommender Systems." In 2020 21st International Arab Conference on Information Technology (ACIT), pp. 1-5. IEEE, 2020. 
  • Sisodia, Dilip Singh, and Reenu Agrawal. "Data Imputation-Based Learning Models for Prediction of Diabetes." In 2020 International Conference on Decision Aid Sciences and Application (DASA), pp. 966-970. IEEE, 2020. 
  • Khobragade, Vinay, Naunika Jain, and Dilip Singh Sisodia. "Deep Transfer Learning Model for Automated Screening of Cervical Cancer Cells Using Multi-Cell Images." In International Conference on Applied Informatics, vol. 1277, pp. 409-419. Springer, Cham, 2020. 
  • D. S. Sisodia, S. Mahapatra and A. Sharma, "Automated SMS Classification and Spam Analysis using Topic Modeling," 2nd International Conference on Data, Engineering and Applications (IDEA), Bhopal, India, February 28-29, 2020, pp. 1-6. 
  • D. S. Sisodia, S. Nikhil, G. Sai Kiran, P. Sathvik “Ensemble Learners for Identification of Spoken Languages using Mel Frequency Cepstral Coefficients ". In 2nd International Conference on Data, Engineering and Applications (IDEA), Bhopal, India, February 28-29, 2020, pp. 1-6.
  • A. Pujahari, D. S. Sisodia “Model-Based Collaborative Filtering for Recommender Systems: An Empirical Survey’, In Proceedings of IEEE International Conference on Power, Control and Computing Technologies (ICPC2T 2020), Raipur, India, January 3-5, 2020.  
  • D.S. Sisodia, “Ensemble Learning Approach for Clickbait Detection Using Article Headline Features”. In International Conference on Informing Science & IT Education Conferences (InSITE 2019), Jerusalem, Israel, Jun 30 - Jul 4 2019.
  • R. Shrivastava, D. S. Sisodia “Product Recommendations Using Textual Similarity Based Learning Models’, In Proceedings of IEEE International Conference on Computer communication and informatics (ICCCI 2019), Coimbatore, India, January 23-25, 2019.
  • V. G. Shankar, D. S. Sisodia, P. Chandrakar “DataAutism: An Early Detection Framework of Autism in Infants using Data Science”. In Proceedings of International Conference on Data Management , Analytics & Innovation (ICDMAI 2019), Kuala Lumpur, Malaysia, January 18-20, 2019.
  • R. Rai, D.S. Sisodia “Real Time Data Augmentation Based Transfer Learning Model for Breast Cancer Diagnosis Using Histopathological Images”. In Proceedings of International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018), Raipur, India, December 20-21, 2018.
  • D. S. Sisodia and N. Verma “A Framework for Preprocessing and Feature Extraction from Weblogs for Identification of HTTP Flood Request Attacks ". In Proceedings of IEEE International Conference on Advanced Computing and Technology (ICACAT-2018), Bhopal, India, December 28-29, 2018.
  • D. S. Sisodia and N. Verma “A Performance Evaluation of Density-Based Clustering Methods for Categorizing Web Robots Sessions". In Proceedings of IEEE International Conference Advanced Computing and Technology (ICACAT-2018), Bhopal, India, December 28-29, 2018.
  • S. Agrawal, D. S. Sisodia, N. K. Nagwani “Neuro-Fuzzy Approach for Reconstruction of 3-D Spine Models using 2-D Spine Images and Human Anatomy”, In Proceedings of International Conference on Next Generation Computing Technologies (NGCT 2018), Dehradun, India, November 21-22, 2018.
  • D.S. Sisodia, A. Verma “Performance of Unsupervised Learning Algorithms for Online Document Clustering". In Proceedings of IEEE International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, July 11-12, 2018, pp.920-925.
  • D.S. Sisodia, R. Khandelwal, A. Anuragi “Categorization Performance of Unsupervised Learning Techniques for Web Robots Sessions". In Proceedings of IEEE International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, July 11-12, 2018, pp. 1370-1374.
  • D. Sisodia and D.S. Sisodia “Prediction of Diabetes using Classification Algorithms". In Proceedings of International Conference on Computational Intelligence and Data Science (ICCIDS 2018), Gurugram, India, April 7-8, 2018, pp.1578-1585.
  • D.S. Sisodia, R. Borkar and H. Shrawgi “Performance Evaluation of Large Data Clustering Techniques on Web Robot Session Data ". In Proceedings of International Conference on Machine Intelligence and Signal Processing (MISP-2017), Indore, India, December 22-24, 2017, pp.545-553.
  • D.S. Sisodia, M. Choudhary, T. Vandana and R. Rai “Agglomerative Similarity Measure based Automated Clustering of Scholarly Articles". In Proceedings of International Conference on Machine Intelligence and Signal Processing (MISP-2017), Indore, India, December 22-24, 2017, pp. 533-344.
  • D.S. Sisodia, R. Agrawal, D. Sisodia “A Comparative Performance of Classification Algorithms in Predicting Alcohol Consumption among Secondary School Students". In Proceedings of International Conference on Machine Intelligence and Signal Processing (MISP-2017), Indore, India, December 22-24, 2017, pp.523-532.
  • D.S. Sisodia, M. Singh “An Empirical Investigation of Discretization Techniques on the Classification of Protein-Protein Interaction". In Proceedings of International Conference on Machine Intelligence and Signal Processing (MISP-2017), Indore, India, December 22-24, 2017, pp.509-521.
  • D. Singh, D.S. Sisodia, and P. Singh “An Empirical Analysis of Instance-based Transfer Learning Approach on Protease Substrate Cleavage Sites Prediction". In Proceedings of International Conference on Machine Intelligence and Signal Processing (MISP-2017), Indore, India, December 22-24, 2017, pp. 59-70.
  • D.S. Sisodia, K. Sachdeva, A. Anuragi “Sleep Order Detection Model using Support Vector Machines and Features Extracted from Brain ECG Signals". In Proceedings of IEEE International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, November 23-24, 2017, pp. 1011-1015.
  • D.S. Sisodia, S. Vishwakarma, A. Pujahari “Evaluation of Machine Learning Models for Employee Churn Prediction". In Proceedings of IEEE International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, November 23-24, 2017, pp.1016-1020.
  • A. Anuragi, D.S. Sisodia “Alcoholism Detection using Support Vector Machines and Centered Correntropy features of Brain EEG Signals ". In Proceedings of IEEE International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, November 23-24, 2017,pp.1021-1026.
  • D.S. Sisodia, A. Verma “Prediction Performance of Individual and Ensemble learners for Chronic Kidney Disease". In Proceedings of IEEE International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, November 23-24, 2017, pp.1027-1031.
  • Dilip Singh Sisodia, Saragadam N., Gundu S. K., H. Shrawgi “Performance Evaluation of Learners for Analyzing the Hotel Customer Sentiments Based on Text Reviews". In International Conference on Recent Advances and Applications in Computer Engineering (RAACE-2017), Jaipur, India, November 23-25, 2017.
  • D. S. Sisodia, A.K. Yogi “Performance Evaluation of Ensemble Learner on Smart Phone Sensor Generated Human Activity Data Set". In 1st International Conference on Data, Engineering and Applications 2017 (IDEA-2k17), Bhopal, India, October 28-29, 2017. (Proceedings in the Springer).
  • D.S. Sisodia and N. R. Reddy “Sentiment Analysis of Prospective Buyers of Mega Online Sale Using Tweets". In Proceedings of IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, India, September 21-22, 2017, pp.2734-2739.
  • D.S. Sisodia, T. Vandana and M. Choudhary “A Conglomerate Technique for Finger Print Recognition Using Phone Camera Captured images". In Proceedings of IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, India, September 21-22, 2017, pp.2740-2746.
  • D.S. Sisodia, N.K. Reddy and S. Bhandari “Performance Evaluation of Class Balancing Techniques for Credit Card Fraud Detection". In Proceedings of IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, India, September 21-22, 2017, pp.2747-2752.
  • D.S. Sisodia and S.Verma "Analysis of Spamming Threats and Some Possible Solutions for Online Social Networking Sites (OSNS)".  In Proceedings of International Conference on Computer Science, Engineering and Applications (ICCSEA 2015), Madrid, Spain, March 26-27, 2015, pp.1474-1478.
  • D.S. Sisodia and S.Verma “Web Usage Pattern Analysis through Web Logs: A Review “ in Proceedings of IEEE Ninth International Joint Conference on Computer Science and Software Engineering (JCSSE 2012), Bangkok, Thailand, May 30-June 1, 2012, pp 49-53.
  • Sisodia, D.S., and S. Verma. "Image pixel intensity and artificial neural network based method for pattern recognition." In Proceedings of International Conference on Computer, Electrical, and Systems Sciences, and Engineering (ICCESSE-2011), Singapore, September 28-30, 2011, pp.742-745.
  • D.S. Sisodia and S.Verma “Static Hand Gesture Recognition System for Sign Languages: Using Error Back propagation neural network & Skin Color Modeling “In Proceedings of International Conference on Emerging trends in soft computing and ICT (SCICT-2011), Bilaspur, India, March 16-17, 2011, pp.132-134.
Other Info.

Work Experience

  • Working as Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India from August 2008 to present.
  • Worked as a visiting faculty at the Department of Computer Science and Engineering, DSPM International Institute of Information Technology Naya Raipur, Raipur, India from January 2018 to May 2018.
  • Worked as Summer Research Fellow at Machine Intelligence Unit, Indian Statistical Institute Kolkata, India from May 2013 to July 2013.

Sponsored Research & Consultancy Projects

  • Modeling of autonomous software agents’ behavior to defend HTTP request attacks, sponsored by Chhattisgarh Council of Science & Technology (CCOST).    Project Duration: from December 2015 to July 2020 (Role: Principal Investigator).
  • Bridging the Innovation Gap, Foundation for Innovation and Collaborative Education (FICE)- An Intel-sponsored social enterprise and sponsored of some Atal tinkering Labs (A NITI Ayog, Govt. of India initiative), Bangalore, India. Project Duration: Four months (December 2017 to March 2018) (Role: Consultant).

Research Supervision

Ph.D. Thesis Supervised:

  • Abinash Pujahari, Investigation on Performance Improvement of Recommender Systems.  June 2021. (Role: Supervisor)
  • Deepak Singh, Investigation of Evolutionary Intelligence on Discriminative Learning with Variant and Invariant Data, September 2019. (Role: Joint Supervisor)

Ph.D. Thesis in Progress:

  • Deepti Sisodia, Investigation on Invalid Traffic Detection in Online Advertising Networks using Machine Learning Paradigms. (Role: Supervisor)
  • Arti Anuragi, Improving Automated Analysis and Learning of EEG Signals for Brain Disorder Detection using FBSE-EWT. (Role: Supervisor)
  • Saurabh Agrawal, On Predicting Continuous Evolving Unknown Protein Functions Using Sequence Induced Features and Automated Learning Techniques. (Role: Supervisor)
  • Venkatesh Gauri Shankar, An Attentive Feature Enabled Automated Alzheimer’s Stages Progression and Classification Framework. (Role: Supervisor)
  • Rahul Shrivastava, On Development of Equitable Recommendation System using Multi-pronged Utility functions. (Role: Supervisor)
  • Rikhi Ram Jagat, On Development of Automated Models for Detection of Malicious and Non-Malicious Activities Using Weblog. (Role: Supervisor)

M.Tech. Thesis Supervised:

  • Upasana Verma, Study and Performance Evaluation of Data Sampling Techniques on Class Imbalance Problem, June 2017. (Role: Supervisor)
  • Anuragi Arti Narayandas, Investigation on Machine learning approaches for Alcoholism Detection Using EEG Signals and Various Wavelet Transforms, June 2018. (Role: Supervisor)
  • Meetesh Nevendra, Supervised Machine Learning Approaches for Software Fault Prediction, June 2018. (Role: Joint Supervisor)
  • Upasana Chauhan, Comparative Performance of Different Learning Algorithms for Automated Tag Classification, June 2019.  (Role: Supervisor)
  • Jeetesh Kumar Dewangan, Analyzing Topic model Approach for Improving Topic Coherence, June 2019.  (Role: Joint Supervisor)
  • Suraj Vanza, Medical image classification using deep learning, June 2020.  (Role: Joint Supervisor)
  • Sajal Gupta, Neural Collaborative Filtering based Group Recommendation, June 2021. (Role: Supervisor)

 Courses Taught

  • CS20511 (CS) - Operating System Concepts (Autumn-2013, Autumn-2014, Autumn-2015, Autumn-2016, Autumn-2017, Autumn-2018, Autumn-2019, Autumn-2020, Autumn-2021).
  • CS20615 (CS) - Compiler Construction Principles (Spring-2013, Spring-2014, Spring-2015, Spring-2018, Spring-2019, Spring-2020)
  • CS20845 (CS) - Artificial Neural Networks (Elective) (Spring-2016, Spring-2017).
  • 322513(22) - Operating Systems (Autumn-2009, Autumn-2010, Autumn-2011, Autumn-2011, Autumn-2012).
  • 322514(22) -Theory of computation (Autumn-2009, Autumn-2010, Autumn-2011).
  • 322871(22) - Neural Networks and Fuzzy Logic (Spring-2009, Spring-2010, Spring-2011, Spring-2012).
  • 322612(22)- Compiler Design (Spring-2009, Spring-2010, Spring-2011, Spring-2012).

Training Programs/ Conferences/Seminars /Workshops Organized

  • AICTE Training and Learning (ATAL) Academy Sponsored One Week Faculty Development Program (FDP) on “Data Science and Its Applications”, National Institute of Technology Raipur, 9th-13th December 2019. (Role: Coordinator)
  • International Conference on Social Networking and Computational Intelligence (SCI-2K18), 08-09 March 2019, Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, India (Role: Program Co-Chair).
  • 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: Convener)
  • 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).
  • One day workshop on Artificial Intelligence, National Institute of Technology Raipur, September 14th, 2017. (Role: Coordinator).
  • One day workshop A Foundation program on data science” using Statistica, 12th October 2017, (Role: Coordinator)

 Invited Expert Lectures/Talks/Seminars Delivered 

  • Expert lecture on Supervised machine learning techniques, in FDP on “Machine Learning: Techniques, Applications and Challenges”, organized by Department of Computer Science & Engineering, Oriental Institute of Science & Technology Bhopal & RGPV-TEQIP Cell Bhopal, India, 5th August 2021.
  • Invited lecture on Data Modelling using Machine Learning Algorithms in AICTE-ISTE sponsored Faculty Development Program on the topic “Data science analytics and visualization Tools organized by Department of IT, Shri Shankaracharya Technical Campus, Bhilai (CG), 24 December 2020.
  • Expert lecture on Recommendation Systems: Challenges and Applications in Learning with Vodafone University Engagement Program sponsored Faculty Development program organized by FICE Bengaluru, 19 December 2020. 
  • Invited lecture on Machine learning and applications in QIP Sponsored Short Term Course (STC) on "Computational Methods in Signal Processing and Machine Learning" organized by Department of Electrical Engineering, IIT Indore, 16 December 2020.
  • Invited lecture on Machine learning in GUJCOST and IEI sponsored Three days’ workshop on " Data Science and its application" organized by Department of Computer Engineering, MBIT, New Vallabh Vidyanagar, Gujarat, 24 November 2020.
  • Expert lecture on Cache Memory Mapping Techniques, organized by Department of CE&IT, Raisoni Institute of Engineering and Technology (GHRIET) Pune, India, 28th August 2020.
  • Expert lecture on Intellectual property rights, in FDP on “Emerging Trends and Techniques in Research”, organized by Department of MCA, Sagar Institute of Research and Technology & RGPV-TEQIP Cell Bhopal, India Bhopal, India, 26th June 2020.
  • Invited lecture on Technical Education in India: From Disruption to Recovery due to Covid-19, in Webinar on “Evolution Prospective of Technical Education during COVID-19”, organized by Faculty of Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, M.P., India, 09th June 2020.
  • Expert lecture on Artificial Intelligence: Developments & Applications, in STTP on “Artificial Intelligence and Its Applications”, organized by Department of MCA, Sagar Institute of Research and technology Bhopal, India, 05th June 2020.
  • Invited lecture on Machine Learning Techniques, in STTP on Machine Learning Applications in Biomedical Signal and Image Processing”, organized by Department of Biomedical Engineering & CS&E, NIT Raipur, India, 04th March 2020.
  • Invited lecture on Support Vector Machines: Implementations and Applications, in ATAL Academy sponsored FDP on Artificial Intelligence”, organized by International Institute of Information Technology, Naya Raipur, India, 11th February 2020.
  • Expert lecture on Supervise Machine Learning Techniques, in TEQIP-III sponsored lecture series, organized by Department of CS&E, Vishwavidyalaya Engineering College (VEC) Lakhanpur, Sarguja University, India, 18-19 January 2020.
  • Expert lecture on Decision Tree based Classification Techniques, ATAL Academy sponsored FDP on Artificial Intelligence”, organized by Department of Electrical Engineering, NIT Raipur, India, 11th December 2019.
  • Invited lecture on Artificial Intelligence & Contemporary Developments, in Teachers’ Training Program (TTP) on Product to be smart with Artificial Intelligence (AI), organized by LNCT & RGPV-TEQIP Cell Bhopal, India 22nd November 2019.
  • Invited lecture on Importance of Data Science in Department of Information Technology, Manipal University Jaipur, India 21st October 2019.
  • Invited lecture on the role of Machine Learning and Data Science in Research, in workshop on faculty and staff development program to improve teaching and learning process, organized by Kruti Institute of Technology &Engineering Raipur & CSVTU-TEQIP Cell Bhilai, India 28th September 2019.
  • Invited lecture on Classification using Naïve Bayes’ classifiers, in STTP on Machine Learning: from Theory to Modeling”, organized by Department of Biomedical Engineering & CS&E, NIT Raipur, India, 24th September 2019.
  • Expert lecture on Machine Learning with Naïve Bayes and Decision Tree, ATAL Academy sponsored FDP on Artificial Intelligence”, organized by Department of Electrical Engineering, NIT Raipur, India, 24th September 2019.
  • Invited lecture on Machine Learning and Applications, Department of Computer Science and Engineering, Faculty of Engineering, O.P Jindal University Raigarh, India 16th November 2018.
  • Expert talk on Deep learning in continuation with AI and ML, TEQIP-III sponsored STTP on Deep Learning and Its Applications”, NIT Raipur, 28th September to 2nd October 2017.
  • Expert talk on Deep learning: artificial neural networks background and architecture, TEQIP-III sponsored STTP on Deep Learning and Its Applications”, NIT Raipur, 28th September to 2nd October 2017.
  • Expert talk on Introduction to soft computing techniques and artificial neural networks, TEQIP-II sponsored STTP on Soft Computing and Intelligent Techniques in Science and Technology”, NIT Raipur, 30th September to 4th October 2016.

Keynote Talks/Presentations in International Conferences 

  • Keynote talk on Improving ranking quality of recommender systems using preference relations and probabilistic matrix factorization, International Conference on Emerging Trends in Science & Technology (ICETST-2021), April 2nd -4th 2021 organized by NRI Institute of Research and Technology, Bhopal, India.
  • Keynote talk on Challenging issues in designing good recommender systems, International Conference on Applied Scientific Computational Intelligence using Data Science (ASCI-2020) 22-23 December 2020organized by Manipal University Jaipur, Jaipur, India

Session Chair in International Conferences

  • Session Chair, on digital system design, fabrication and robotics in 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT-2021), Bhopal, India, 18th–19th June 2021.
  • Session Chair, on Machine Learning and applications, international conference on information systems and management science (ISMS2020) at the University of Malta, Malta, December 15-17, 2020.
  • Session Chair, Springer International Conference on Machine Intelligence and Smart Systems (MISS 2020) organized by Rustamji Institute of Technology, BSF Academy, Tekanpur, Gwalior, India, September 24-25, 2020.
  • Session Chair, IEEE International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE 2020), Keonjhar, India, 29th–31st July 2020.
  • Session Chair, IEEE International Conference on Data, Engineering and Applications (IDEA2K20) jointly organized by RGPV, Bhopal, India, February 28-29, 2020.
  • Session Chair, International Conference on Social Networking and Computational Intelligence (SCI-2K18), 08-09 March 2019, Bhopal, India.
  • Session Chair, 1st IEEE International Conference on Advanced Computing and Technology (ICACAT-2018), Bhopal, India, December 28-29, 2018.
  • Session Chair, 1st International Conference on Data, Engineering and Applications (IDEA2K17) jointly organized by RGPV, Bhopal and SIRT, Bhopal, India, October 28-29, 2017.

 Abroad Visits (for academic and professional activities)

  • Visited Jerusalem, Israel to present the paper in International Conference on Informing Science & IT Education Conferences (InSITE 2019), Jerusalem College of Technology, Jerusalem, Israel.
  • Visited Madrid, Spain to present paper in XIII International Conference on Computer Science, Engineering and Applications (ICCSEA 2015 Madrid, Spain) 
  • Visited Bangkok, Thailand to present paper in IEEE Ninth International Joint Conference on Computer Science and Software Engineering (JCSSE 2012), Organized by School of Engineering, University of the Thai Chamber of Commerce Bangkok, Thailand.
  • Visited Singapore, to present paper in International Conference on Computer, Electrical, and Systems Sciences, and Engineering, Singapore (ICCESSE 2011, Singapore).

Contributions in Institute/Department Administration

  • Head of the Department, Computer Science and Engineering, National Institute of Technology Raipur, from 12th September 2016 to 6th September 2018.
  • Warden, Boys’ Hostel-A (MANPAT), National Institute of Technology Raipur, from March 2009 to present.
  • Deputy Centre In-charge, PG (M.Tech.) Admission Committee (CCMT 2020, CCMT 2021), NIT Raipur.
  • Member, Central Purchase committee, National Institute of Technology Raipur, from June 5, 2018, to present.
  • Member, Recruitment Committee for Regular Technical Assistant (TA) and Lab Attendant (LA) Appointment, 2017.
  • Chairman, Temporary Faculty Interview Committee, Computer Science and Engineering Department, 2016-17, National Institute of Technology Raipur.
  • Faculty Adviser, Association of Computer Engineers (ACE), Computer Science and Engineering Department, National Institute of Technology Raipur, from 2008 to 2016.
  • Faculty In-charge, Advance Computing Lab, Computer Science and Engineering Department, National Institute of Technology Raipur, from 2008 to present.
  • Coordinator, MIS (Boys’ Hostel Management Module), National Institute of Technology Raipur, from 2012 to present.
  • Coordinator, Boys’ Hostel admission rule formation (Seat-Matrix) Committee, National Institute of Technology Raipur, 2014.
  • Chairman, Boys’ Hostel Admission Committee, (Session 2014-15, Session 2017-18, Session 2018-19), National Institute of Technology Raipur.
  • Member, Boys’ Hostel Admission Committee, (2013-14, 2014-15, 2015-16, 2016-17), National Institute of Technology Raipur.
  • Member, Hostel Disciplinary Rules Formation Committee, National Institute of Technology Raipur.
  • Member, Hostel Management software development Committee, National Institute of Technology Raipur, 2012.
  • Member, Scrutiny Committee for Regular Faculty Appointment (2009, 2013 and 2014,2020), National Institute of Technology Raipur.
  • Member, Temporary Faculty Interview Committee, Computer Science and Engineering Department (2009- 2011, 2014, 2015, 2016, 2017, 2018-21), National Institute of Technology Raipur.
  • Member, Interview Committee for Faculty Appointment (Contract) in MCA (2012), National Institute of Technology Raipur.
  • Member, PG (M.Tech.) Admission Committee (CCMT 2015, CCMT 2016, CCMT 2017, CCMT 2018, CCMT 2019), NIT Raipur.
  • Member, PG (MCA) Admission (NIMCET 2009) Committee, NIT Raipur.
  • Member, UG (B.Tech. & B. Arch.)  Admission Committee (AIEEE 2009, JoSAA 2017, JoSSA 2018), National Institute of Technology Raipur.
  • Member, Institute level Technical Activity Organizing Committee, NIT Raipur, July 2012 to June 2016.

Professional Affiliations

  • Senior Member, Association of Computing Machinery (ACM), USA
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE), USA
  • 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)
  • Life Member, Indian Science Congress Association (ISCA), India
  • Life Member, Indian Society for Technical Education (ISTE), India

Other Professional/Extensional Services

Reviewer in Journals (Past five years)

  • Biomedical Signal Processing and Control (Elsevier Publication)
  • BMC Endocrine Disorders (Springer Publication)
  • Computational and Structural Biotechnology Journal (Elsevier Publication)
  • Computer Communications (Elsevier Publication)
  • Computer Methods in Biomechanics and Biomedical Engineering
  • CSI Transactions on ICT (Springer Publication)
  • Current Bioinformatics (Bentham Science Publication)
  • Expert Systems with Applications (Elsevier Publication)
  • IEEE Access- A Multidisciplinary Open Access Journal (IEEE Publication)
  • IEEE Transactions on Cognitive and Developmental Systems
  • IEEE Transactions on Systems, Man, and Cybernetics
  • IETE Journal of Research
  • International Journal of Technology
  • Information Sciences (Elsevier Publication)
  • Information Fusion (Elsevier Publication)
  • INFORMS Journal on Computing 
  • Journal of Diabetes & Metabolic Disorders (Springer Publication)
  • Journal of Information Science (SAGE Publication)
  • Journal of King Saud University - Computer and Information Sciences
  • Knowledge-Based Systems (Elsevier Publication)
  • Multiagent and Grid Systems - An International Journal (IOS Press)
  • Multimedia Tools and applications (Springer Publication)
  • Recent Patents on Computer Science (Bentham Science Publication)
  • Signal, Image and Video Processing (Springer Publication)
  • Telematics and Informatics (Elsevier Publication)
  • Theoretical Computer Science (Elsevier Publication)

Technical Program/Advisory Committee Member/ Reviewer in International Conferences (Past five years)

  • International Conference on Machine Intelligence and Data Science Applications (MIDAS) 2020" in association with NGCT Society, Dehradun, India, September 4-5, 2020.
  • IEEE International Conference on Data, Engineering, and Applications (IDEA-2K20), Bhopal, India, February 28-29, 2020.
  • IEEE International Conference on Power, Control and Computing Technologies (ICPC2T 2020), Raipur, India, January 3-5, 2020
  • Springer’s 4th International Conference on Data Management, Analytics, and Innovation (ICDMAI 2020), New Delhi, India, January 17-19, 2020.
  • 42nd International Engineering in Medicine and Biology Conference (EMBC2020), July 20-24, 2020, in Montréal, Canada. 
  • 41st International Engineering in Medicine and Biology Conference (EMBC2019), Berlin, Germany from July 23–27, 2019. 
  • Springer Second International Conference on Recent Advancement on Computer & Communication (ICRAC-2019), Bhopal, India, December 21-22, 2019. 
  • 9th International Conference on Soft Computing for Problem Solving (SocProS 2019), Liverpool, UK, September 02-04, 2019 
  • 3rd International Conference on Advanced Informatics for Computing Research (ICAICR-2019), Kandaghat, India, 15-16 June 2019. 
  • 5th Students’ Conference on Engineering and Systems 2019 (SCES-2019), Allahabad, India, May 29-31, 2019  
  • 4th International Conference on Information, Communication and Computing Technology (ICICCT-2019), New Delhi, India, May 11, 2019.
  • International Conference on Social Networking and Computational Intelligence (SCI-2K18), Bhopal, India, March 08-09, 2019. 
  • Springer’s 3rd International Conference on Data Management, Analytics & Innovation (ICDMAI-2019), Kuala Lumpur, Malaysia, January18-20, 2019.
  • IEEE International Conference on Advanced Computation and Telecommunication (ICACAT-2018), Bhopal, India, December28-29, 2018.
  • Springer’s 4th International Conference on Next Generation Computing Technologies (NGCT 2018), Dehradun, India, November21-22, 2018.
  • IEEE Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC-2018), Shimla, India,20-22 December 2018. 
  • International Conference on Recent Trends in Computing (ICRTC-2018), Ghaziabad, India, 12-13 October 2018
  • Futuristic Trends in Network and Communication Technology (FTNCT-2018), Waknaghat, India, 9-10 February 2018.
  • International Conference on Innovative Research in Science, Management and Technology (ICIRSMT-2018), Bilaspur, India, 04-05 August 2018.
  • Springer’s Second International Conference on Advanced Informatics for Computing Research (ICAICR-2018), Shimla, India, 14-15 July 2018.
  • First International Conference on Computer Networks, Security and Computing (ICCSC-2018), Bengaluru, India, 25-26 May 2018
  • Springer’s International Conference on Applications of Computing and Communication Technologies (ICACCT-2018), Delhi, India, March 09, 2018.
  • International Conference on Information Systems and Management Science (ISMS2018), Malta, Europe, February 27-28, 2018
  • Springer’s 2nd International Conference on Data Management, Analytics, and Innovation (ICDMAI 2018), Pune, India, January 19-21, 2018.
  • Springer’s International Conference on Research Development in Engineering Science & Technology (ICRDEST - 2018), Chennai, India, February 19-20, 2018,
  • Springer’s International Conference on Recent Trends in Computing (ICRTC-2017), Ghaziabad, India, December 14-15, 2017
  • International Conference On sustainable computing and advanced artificial intelligence techniques (ICSCAAIT-2018), Faridabad, India, January 24-25, 2018,
  • Springer’s International Conference on Machine Intelligence and Signal Processing (MISP-2017), Indore, India, December 22-24, 2017.
  • IEEE 3rd International Conference on Computational Intelligence & Communication Technology (ICICT-2017), Delhi, India, February 12-13, 2017.
  • Springer’s 1st International Conference on Data, Engineering and Applications 2017(IDEA-2k17), Bhopal, India, October 28-29, 2017.
  • Third-International Conference on Computational Intelligence and Communication Technology (IEEE-CICT 2017), Ghaziabad, India, February 9-10, 2017.
  • Springer’s International Conference on advanced informatics for computing research (ICAICR-2017), Jalandhar, India, March 17-18, 2017.
  • IEEE First International Conference on Data Management, Analytics, and Innovation (ICDMAI – 2017), Pune, India, February 24-26, 2017.
  • IEEE Second International Conference on Computer Graphics, Vision and Information Security (CGVIS 2017), Kolkata, India, February 20-21, 2017.
  • 11th IEEE International Conference on Computing for sustainable global development (INDIACom-2017), Delhi, India, March 01-03, 2017.

Fellowship/Awards/Other Recognitions

  • Member, Executive Committee (EXECOM), IEEE MP Subsection from 2019 to present.
  • Member, Board of Studies (BoS), Computer Science Engineering, Faculty of Engineering, O.P Jindal University Raigarh (C.G.), from November 2019 to present.
  • Honoured with excellent engineer of the 2019 award by Joint Organizing Committee of Engineers’ Raipur (CG) on Engineers Day for significant and outstanding contribution in the field of engineering, 15 September 2019.
  • Member, Board of Studies (BoS), Computer Science Engineering, Faculty of Engineering, Guru Ghasidas University (A Central University), Bilaspur (C.G.), from December 2017 to present.
  • Member, Board of Studies (BoS), Computer Science Engineering, Vishwavidyalaya Engineering College (VEC), Sarguja University, Ambikapur (C.G.), from August 2018 to present.
  • Member, Chhattisgarh State Committee, Institution of Engineers, India (IEI), from Computer Science Engineering Division, 2016-20.
  • Chairman, Computer Society of India (CSI) Raipur Chapter (C.G.) 2016-2017.
  • Vice Chairman, Computer Society of India (CSI) Raipur Chapter (C.G.) 2014-2016.
  • Research Fellowship, Indian Academy of Sciences, Bangalore, Under Science Academies (IASc-INSA-NASI) Summer Research Fellowship Program, to work (with Dr. Sanghamitra Bandyopadhyay, FNASI, FINAE, Humboldt Fellow, Shanti Swarup Bhatnagar Awardee) at Machine Intelligence Unit, Indian Statistical Institute Kolkata, May 2013 to July 2013.
  • Secure 1st position in MPPSC-2008 for Lecturer, Computer Science & Engineering, Department of Technical Education and Training, Govt. of MP.

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