Prof. Neetu Sardana

Education

• Ph.D. (Computer Science and Applications), K.U., Kurukshetra, 2011.
• M.C.A. – Maharishi Dayanand University, Rohtak, 2000.     
• B.Sc. (Computer Science) - Kurukshetra University, Kurukshetra, 1997.

Biography

Neetu Sardana is a Professor in the Department of Computer Science & Engineering and Information Technology (CSE/IT), Jaypee Institute of Information Technology (JIIT), Noida, India. She has joined the Institute in year 2012, since then she is associated with academics and research activities at the university level. She has completed her PhD from Department of Computer Applications, Kurukshetra University, Kurukshetra in the year 2011. She has more than 20 years of teaching experience. Her research interests include Web Mining, Social Network Analysis, Data Science and Mining Software Repositories. She has published more than 70 research papers in various reputed indexed journals book chapters and peers reviewed conferences. She had supervised four PhDs, Eighteen MTech Thesis and several BTech. Major and Minor projects. Currently, she is guiding three Ph.D.’s. She is a member of IEEE. She is associated with various journals as a reviewer which are of high standards and indexed in SCI/(E).

Work Experience

• January 2023 to till date as Professor in Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, India
• 08 September 2017 to 31 December 2022 as Associate Professor in Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, India.
• 28 July 2012 to 07 September 2017 as Assistant Professor (Senior Grade) in Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, India.
• 1 April 2010 to 27 June 2012 as Assistant Professor in Apeejay School of Management, Dwarka, Delhi. (Formerly Known as Apeejay Institute of Information and Technology), Dwarka, Delhi, India.
• 10 September 2008 to 31 March 2010 as Senior Lecturer in Apeejay School of Management, Dwarka, Delhi. (Formerly Known as Apeejay Institute of Information and Technology), Dwarka, Delhi, India.
• 12 July 2002 to 09 September 2008 as Lecturer in Apeejay School of Management, Dwarka, Delhi. (Formerly Known as Apeejay Institute of Information and Technology), Dwarka, Delhi, India.

Interest Area(s)

• Web Mining
• Data Science
• Large Scale Graph Algorithms
• Social Network Analysis

Ph.D. Supervision

Awarded: 4

• 14403006: Honey Jindal (Feb 2021)

Title: Enhanced Models for Analysis and Prediction of Web Navigational data.

• 13403301: Anand Kumar Gupta (July 2020)

Title: Analysis and Improvement of Link Prediction Techniques in Online Social Networks.

• 14403007: Anjali (Nov 2019)

Title: Effective Identification & triaging of Fixable Non-Reproducible Bugs

• 13403305: Sangeeta Lal (Feb 2018)                                                                       

Title: Prediction of Log Statements in Open-Source Java Code Constructs

Ongoing: 3

• Sneh Prabha (19403032), Area: Mining Question Answering Websites.
• Sonia Lamba (20403016), Area: Graph Analytics in healthcare.
• Seema Luthra (23403010), Area: Clickbait detection

Post Graduate Supervision

Awarded (18 Completed):

• 19803011: Kanishka Khullar, “Optimizing Resource Allocation through Machine Learning: A Time Series Forecasting Approach”.
• 18803025: Karan Bamal, “Security Engineer Intern report”.
• 19318008: Aaryan Verma, “Autonomous Driving Assistance System”.
• 18318001: Udbhav Singhal, “Link prediction in social networks”.
• 17303010: Ayushi Verma, “Analyzing and Modelling Stack Exchange Software Engineering Q&A Website”
• 16303015: Shivangi Tyagi, “Influential user in Social Networks”.
• 16303003: Divyani Jaiswal, Modelling Diffusion in Networks
• 12503870: Adviteeya, “Revisitation Analysis and Development of Prediction Model for Android Phone Apps”.
• 12503869: Devina Mohan, “Version Management for control systems applications”.
• 12503874: Monika Senger, “Performance Evaluation of Databases”.
• 11503869: Srishti Saini, “Predicting Debugging Statements in the Source Code”.
• 11503867: Shalini Agarwal, “A Hybrid Approach for Gray-Sheep Users Detection”.
• 10503871: Hemant Kumar, “Hybrid Approach for Keywords Extraction”.
• 10503856: Apoorva Aggarwal, “Adaptive Proxy Caching Techniques for YouTube Videos in a Network”.
• 10503867, Somil Tyagi, “Sentiment Analysis of Movie Reviews”.
• 12303032, Neha Nirwal, ”Hopeful Hearts: A Mobile Healthcare Application”.
• 12303033: Megha Joshi, “An Enhanced Marking Target Statement Strategy Of E-Pie for Testability Estimation”
• 11303005: Aparajita Kapoor, “Integration of Conventional relational Database with Hbase”.

Publications

International Journals

• Jindal, H., Sardana, N., Vidyarthi, A., Gupta, D., & Mahmud, M. (2023). Mining User's Navigation Structure by Filtering Impurity Nodes for Generating Relevant Predictions. International Journal of Cognitive Computing in Engineering.
• Goyal, A., & Sardana, N. (2023). IMNRFixer: A hybrid approach to alleviate class‐imbalance problem for predicting the fixability of Non‐Reproducible bugs. Journal of Software: Evolution and Process, 35(3), e2290.
• Honey Jindal, Neetu Sardana, “Web navigation prediction based on dynamic threshold heuristics”, Journal of King Saud University-Computer and Information Sciences, Elsevier, Vol 34, Issue 6, pp 2820-2830, 2022.
• A K Gupta, N. Sardana, “Performance Analysis of Naïve Bayes Classifier Over Similarity Score-Based Techniques for Missing Link Prediction in Ego Networks”, Journal of Information Technology Research (JITR), 14(1), pp. 110-122, 2021. (Indexed in Web of Sciences)
• Honey Jindal, Neetu Sardana, “PKM3: an optimal Markov model for predicting future navigation sequences of the web surfers”, Pattern Analysis and Applications, Springer, 2021, 24(1), pp. 263–281.(IF: 2.58)
• Honey Jindal, Neetu Sardana & Raghav Mehta, Efficient web navigation prediction using hybrid models based on multiple evidence combinations, International Journal of Computers and Applications, Taylor and Francis, 2020, 42(7), pp. 715–728.
• A.K. Gupta, N Sardana, A Novel Method to Dynamically Fix Threshold for Node Neighbourhood Based Link Prediction Techniques, International Journal of Information Technology and Web Engineering (IJITWE), Volume 15, Issue 1, pp 17-34, IGI Global, 2020.
• S. Lal, N. Sardana, and A. Sureka, ”Three-Level Learning for Improving Cross-Project Logging Prediction for If-Blocks”, Journal of King Saud University - Computer and Information Sciences, Elsevier, Pages 481-496, Volume 31, Issue 4, October 2019,.
• Anjali, N. Sardana, An Empirical Study of Non-Reproducible Bugs, International Journal of System Assurance Engineering and Management, Vol 10, issue 5, pp 1186-1220, Springer, October 2019.
• H. Jindal, N.Sardana, Elimination of backward browsing using decomposition and compression for efficient session prediction, International Journal of Web Based Communities(IJWBC), Vol.14, No.2, pp.196 – 223, Inderscience, June 2018, (Indexed in Scopus, H Index:19)
• A.K.Gupta, N Sardana, "Prediction of Missing Links in a Social Networks: FINN (Feature Integration with Node Neighbor)", International Journal of Web Based Communities (IJWBC),Vol.14, No.1, pp 38-53, Inderscience, March 2018. (Indexed in Scopus, H Index:19)
• H. Jindal, Shalini, N. Sardana, PowKMeans: A Hybrid Approach for Gray Sheep Users Detection and their Recommendations, International Journal of Information Technology and Web Engineering (IJITWE), Vol 13, Issue 2, pp. 56-69. April-June 2018. (Indexed in Web of Science Emerging Sources Citation Index (ESCI), SCOPUS).
• Goyal, N. Sardana, “Optimizing Bug Report Assignment Using Multi Criteria Decision Making Techniques”, International Journal of Intelligent Decision Technologies, IOS Press, vol. 11, issue 3, pp.307-320, 2017.
• H.Jindal, N.Sardana, ’An Empirical Analysis of Web Navigation Prediction Techniques, Journal of Cases on Information Technology’, Vol 19, issue 1,pp. 1-14, Jan 2017, IGI (Scopus Indexed).
• S. Lal, N. Sardana, and A. Sureka. EClogger: Cross-project catch-block logging prediction using ensemble of classifers. E-Informatica Software Engineering Journal, 11(1), pp. 7-38, 2017. (Indexed in Scopus, Web of Science)
• A.Goyal, N Sardana, "NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs", E-Informatica Software Engineering Journal, vol. 11, iss. 1, pp. 103-116, 2017.(Indexed in Scopus, Web of Science)
• A.Goyal, N.Sardana, ‘Machine Learning or Information Retrieval Techniques for Bug Triaging: Which is better?’, E-Informatica Software Engineering Journal, E-Informatica Software Engineering Journal, vol. 11, iss. 1, pp. 117-141, 2017.
• A.Goyal, N.Sardana, 'Analytical study on Bug Triaging practices', International Journal of Open Source Software and Processes (IJOSSP), IGI, 7(2), pp. 20-42, 2016.
• S. Lal, N. Sardana, and A. Sureka., ’Improving Logging Prediction on Imbalanced Datasets: A Case Study on Open Source Java Projects’, International Journal of Open Source Software and Processes (IJOSSP), IGI, 7(2), pp. 43-71, 2016.
• H.Jindal, N. Sardana. Web Navigation Prediction using Markov Model: An experimental study. International Journal of Web Engineering and Technology, 11(4), pp. 310-334, 2016, Inderscience.
• S. Lal, N. Sardana, and A. Sureka. Two level empirical study of logging statements in open source java projects. International Journal of Open Source Software and Processes (IJOSSP), IGI, 6(1), 49-73, 2015.
• Amanpreet Kaur, Neetu Sardana, ”A Novel Image Steganography (NIS) Technique”, International Journal of Engineering And Computer Science, Volume2 Issue 8, August, 2013 Page No. 2533-2535.
• Shalini Vermani, Neetu Sardana: Innovative Way of Internet Voting: Secure On-line Vote (SOLV). IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 3, November 2012, pp. 73-78.
• Puspha.R.Suri, Neetu Sardana, “Forecasting Gold price using Fuzzy C means”, Journal of Computing, Vol. 3 No. 3, pp 99- ,March 2011.
• Puspha.R.Suri, Neetu Sardana, “A Novel Method for Representing XML DOM Data”, International Journal of Computer Science and Network Security, Vol.10 No.4, pp 71-77, April 2010.
• Puspha.R.Suri, Neetu Sardana, Vijayant Agarwal, “Extensible Markup Language (XML) Commutation on non-linear data using conventional and soft computing methods”, International Journal of Computing and Applications, Vol.4 No.2, pp 243-256, December 2009.

Book Chapters:

• A Patil, M Jain, N Sardana, S Goyal, D Varshney, " Leveraging Knowledge Graph for Analysis and Recommendation of Jobs." Data Analytics for Intelligent Systems: Techniques and solutions, IOP Publishing, 10-1-10-20, 2024.
• D Varshney, M Aggarwal, N Sardana, ”Misleading multimodal news dataset for detecting fraudulent content”, Data Analytics for Intelligent Systems: Techniques and solutions, IOP Publishing, 12-1-12-17, 2024.
• Krishnamurthi R, Bhatt AJ, Sardana N. A Comprehensive Overview of Quantum Internet: Architecture, Protocol and Challenges. Quantum and Blockchain for Modern Computing Systems: Vision and Advancements.Springer International Publishing, 2022:223-47
• N. Sardana, A.J. Bhatt, "Exploratory study of existing approaches for analyzing epidemics." Leveraging Artificial Intelligence in Global Epidemics edited by Le Gruenwald, Sarika Jain, Sven Groppe. Elsevier Academic Press, 2021, pp. 107–129.
• H. Jindal, N.Sardana, R. Mehta, Analysis and Visualization of User Navigations on Web, Data Visualization and Knowledge Engineering, pp 195-221, Springer, 2020.
• S. lal, N. Sardana, A. Surekha, Logging Analysis and Prediction in Open Source Java Project , Optimizing Contemporary Application and Processes in Open Source Software, pp. 57-85, IGI, Feb 2018.
• A. Goyal, N. Sardana, A Bug Handling in Service Sector Software, Applying Predictive Analytics Within the Service Sector, A volume in the Advances in Business Information Systems and Analytics (ABISA) Book Series, pp-54-73, IGI Global, Feb 2017

International Conference:

• Goyal A, Sardana N, An Integrated Approach using Developer Profiles with Temporal Dynamics for Assignee Recommendation in Non-Reproducible Bugs, International Conference on Machine Learning and Data Engineering (ICMLDE),UPES, Dehradun, Procedia Computer Science, Elsevier, 235(2024), 2833-2842.
• Sardana, Neetu, and Arpita Jadhav Bhatt. "iPDS: Computing Privacy Disclosure Score for iOS apps and detection of privacy-infringing apps using Machine learning classifiers." Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing. 2023.
• Lamba, Sonia, and Neetu Sardana. "Identification of Key Modules and Hub Genes Associated with COVID-19 Based on WGCNA." Doctoral Symposium on Computational Intelligence. Singapore: Springer Nature Singapore, 2023.
• Prabha, S., & Sardana, N. (2023). Question Tags or Text for Topic Modeling: Which is better. Procedia Computer Science, 218, 2172-2180.
• Verma, A., & Sardana, N. (2022, November). Role of Popularity and Recency for the Discovery of Experts in Stack Exchange Software Engineering Q&A Website. In Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI 2022 (pp. 745-757). Singapore: Springer Nature Singapore.
• Neetu Sardana, Arpita Jadhav Bhatt, CiAFP: Category-based Classification of iOS Apps by mining frequent permissions, IC3-2022, August 04–06, 2022, pp 22-26, Noida, India. ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3549206.3549211
• Neetu Sardana, Dhanshree Tejwani, Tanvi Thakur, Mansi Mehrotra, Nature Inspired Algorithm towards Influence Maximization in Social Networks, Proceedings of 2022 1st International Conference on Informatics (ICI), April 14-16, pp 159-164, Noida, India.
• Neetu Sardana, Dhanshree Tejwani, Tanvi Thakur, Mansi Mehrotra, Topic Wise Influence Maximisation based on fuzzy modelling, Sentiments, Engagement, Activity and Connectivity Indexes, In 2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) (IC3 '21), August 05-07, 2021,pp: 443-449, Noida, India. ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3474124.3474192.
• Neetu Sardana and Arpita Jadhav Bhatt. Detection of iOS Malware apps based on Significant Services Identification using Borda count. In 2021 Thirteenth International Conference on Contemporary Computing (IC3-2021), August 05-07, 2021, pp:86-91, Noida, India. ACM, New York, NY, USA. Doi: https://doi.org/10.1145/3474124.3474136.
• Ayushi Verma, Neetu Sardana, Sangeeta Lal, Developer Recommendation for Stack Exchange Software Engineering Q&A Website based on K-Means clustering and Developer Social Network Metric, Int. Conf. on Computational Intelligence and Data Science, NorthCap University, Gurugram, Procedia Computer Science, Elsevier 167 (2020) 1665–1674. (H-Index-59, Impact Factor-1.26, Scopus Indexed). Doi: https://doi.org/10.1016/j.procs.2020.03.377.
• Honey Jindal, Neetu Sardana, Raghav Mehta, Analyzing Performance of Deep Learning Techniques for Web Navigation Prediction, Int. Conf. on Computational Intelligence and Data Science, NorthCap University, Gurugram, Procedia Computer Science, Elsevier 167 (2020) 1739–1748. (H-Index-59, Impact Factor-1.26, Scopus Indexed). DoI: https://doi.org/10.1016/j.procs.2020.03.384.
• Sangeeta Lal , Lipika Tiwari , Ravi Ranjan , Ayushi Verma , Neetu Sardana , Rahul Mourya, Analysis and Classification of Crime Tweets, Int. Conf. on Computational Intelligence and Data Science, NorthCap University, Gurugram, Procedia Computer Science, Elsevier 167 (2020) 1911–1919. (H-Index-59, Impact Factor-1.26, Scopus Indexed). DoI: https://doi.org/10.1016/j.procs.2020.03.211.
• Anjali Goyal, Neetu Sardana, Performance Assessment of Bug Fixing Process in Open Source Repositories, Int. Conf. on Computational Intelligence and Data Science, NorthCap University, Gurugram,  Procedia Computer Science, Elsevier 167 (2020) 2070–2079. (H-Index-59, Impact Factor-1.26, Scopus Indexed). DoI: https://doi.org/10.1016/j.procs.2020.03.247.
• Honey Jindal, Neetu Sardana, Evaluating the Performance of Navigation Prediction Model Based on Varied Session Length, International Conference on Futuristic Trends in Networks and Computing Technologies, Chandigarh, Springer, CCIS, 1206, pp 431-443, 2020. (DOI: https://doi.org/10.1007/978-981-15-4451-4_34).
• A. Goyal and N. Sardana, "Empirical Analysis of Ensemble Machine Learning Techniques for Bug Triaging," 2019 Twelfth International Conference on Contemporary Computing (IC3), Noida, India, 2019, pp. 278-283, doi: 10.1109/IC3.2019.8844876.
• S. Lal, R. Jiaswal, N. Sardana, A. Verma, A. Kaur and R. Mourya, "ORFDetector: Ensemble Learning Based Online Recruitment Fraud Detection," 2019 Twelfth International Conference on Contemporary Computing (IC3), Noida, India, 2019, pp. 196-200, doi: 10.1109/IC3.2019.8844879.
• Ayushi Verma, Neetu Sardana, “Comprehensive Analysis of Trends in Software Engineering Q & A sites”, IEEE International Conference on Cloud Computing, Data Science & Engineering, Amity University, Noida, 2019, pp. 648 - 653, IEEE, DOI: 10.1109/CONFLUENCE.2019.8776986.
• Ayushi Verma, Neetu Sardana, “Comparative study of Multilabel Classifiers on Software Engineering Q&A community for Tag Recommendation” IEEE International Conference on Signal Processing and Communication, Page: 190 – 194,  JIIT, Noida, 2019, DOI: 10.1109/ICSC45622.2019.8938166
•  Ayushi Verma, Sonam, Sangeeta Lal, Neetu Sardana, “TagStack: Automated System for predicting tags in Stack Overflow” IEEE International Conference on Signal Processing and Communication, , Page(s): 223 – 228, JIIT, Noida, 2019, DOI: 10.1109/ICSC45622.2019.8938342
• Rishabh Gupta, Swapnil Gupta, Rahul Gupta, Neetu Sardana, “DPSN: A Novel approach for Disease Prediction based on Social Networks”, IEEE International Conference on Signal Processing and Communication, pp:180-185, JIIT, Noida, 2019, DOI: 10.1109/ICSC45622.2019.8938391.
• A Puri, Pallavi, N Sardana, “Analysis and Visualization of Geo-Referenced Tweets for Real Time Information Diffusion”, Procedia Computer Science Journal, Volume 132, Pages 1138-1146, Elsevier, 2018.(Impact Factor : 0.732, Scopus, H Index:51).
• Priyansh Sharma, Avruty Agarwal, Neetu Sardana, ”Extraction of Influencers Across Twitter Using Credibility and Trend Analysis”, International Conference on Contemporary Computing (IC3) Aug 2018, pp:335-338,IEEE, DOI: 10.1109/IC3.2018.8530462.
• Anjali Goyal, Neetu Sardana, “Characterization Study of Developers in Non-Reproducible Bugs”, International Conference on Contemporary Computing (IC3) Aug 2018, pp:221-226, IEEE.
• Anjali Goyal, Neetu Sardana, “Deep Learning in Developer Recommendation in Bug Tracking Systems”, COSED 2018.
• Shikhar Kesarwni, Astha Goel, Neetu Sardana, MSDApriori: Discovering Borderline-rare items using Association Mining, IC3, 10-12 August 2017. IEEE, Doi:10.1109/IC3.2017.8284319
• Anjali Goyal, Neetu Sardana, “Efficient Bug Triage in Issue Tracking Systems”, In 13th International Conference on Open Source Softwares, Proceedings of the Doctoral Consortium at the 13th International Conference on Open Source Systems (OSS 2017), pp. 15-24, Skövde University Studies in Informatics 2017:1, ISSN 1653-2325, ISBN 978-91-983667-1-6, University of Skövde, Skövde, Sweden.   
• Sangeeta Lal, Neetu Sardana and Ashish Sureka, Analysis and Prediction of Log Statement in Open Source Java Projects, Proceedings of the Doctoral Consortium at the 13th International Conference on Open Source Systems (OSS 2017), pp. 65-80, Skövde University Studies in Informatics 2017:1, ISSN 1653-2325, ISBN 978-91-983667-1-6, University of Skövde, Skövde, Sweden.
• Jindal H., Sardana N., “Evaluating the performance of navigation prediction model based on varied session length”, pp 479-484, IEEE Conference, INDIACom, March, 2017.
• Gupta A.K, Sardana N, Naïve Bayes Approach for Predicting Missing Links in Ego Networks, IEEE International Symposium on Nanoelectronic and Information Systems(iNIS), pp. 161-165, Dec 2016.
• Anjali, Devina Mohan, Neetu Sardana, Visheshgaya: Time based expertise model for bug report assignment, 8th International Conference on Contemporary Computing (IC3), Aug-2016, Noida, India, IEEE. (Scopus Indexed)      
• Srishti Saini, Neetu Sardana, and Sangeeta Lal, Logger4U: Predicting Debugging Statements in the Source Code, 8th International Conference on Contemporary Computing (IC3), Aug-2016, Noida, India, IEEE. (Scopus Indexed)       
• Sangeeta Lal, Neetu Sardana, and Ashish Sureka: LogOptPlus:  Learning to Optimize Logging in Catch and If Programming Constructs, The 40th IEEE Computer Society International Conference on Computers, Software & Applications , COMPSAC-2016, 10-14 June 2016,  USA, 215-220 (ISSN: 0730-3157), IEEE, Indexed in Scopus.  
• Anand Ku Gupta, Neetu Sardana, “Significance of Clustering Coefficient over Jaccard Index”, International Conference on Contemporary Computing (IC3). Aug 2015.
• Megha Joshi, Neetu Sardana An enhanced marking target statement strategy of E-PIE for testability estimation,  International Conference on Contemporary Computing (IC3). pg 346 - 350, Aug 2014 (IEEEXplore, Indexed in scopus and DBLP).
• Neha Nirwal, Neetu Sardana, Arpita Jadhav, Hopeful hearts: A Mobile Health Care Application, International Conference on Contemporary Computing (IC3). pg 351 - 356, Aug 2014 (IEEEXplore, Indexed in scopus and DBLP).
• Megha Joshi, Neetu Sardana, “Design and Code Time Testability Analysis for Object Oriented Systems”, International Conference on Computing for Sustainable Global Development (INDIACom), pg. 590 – 592,2014 (available in IEEEXplore).
• Anand Ku Gupta, Neetu Sardana, “Impact of Topological Properties over Link Prediction Based on Node Neighbourhood: A Study”, International Conference on Contemporary Computing (IC3). pg 194 – 198, Aug 2014 (IEEEXplore, Indexed in Scopus and DBLP).
• Pushpa Suri, Neetu Sardana, A Study on XML Data Indexing for Web Based Application, ICISTM 2011: Information Intelligence, Systems, Technology and Management, Communications in Computer and Information Science book series (CCIS, volume 141) pp 13–22.

Invited Talk

• Delivered a talk on “Unveiling the Web: Techniques and Practices” in Online FDP on Autonomous AI for Sustainable Development, Conducted by JIIT Noida during 03-08 July 2022.
• Delivered a talk on “Data Extraction Techniques on Web Platform” in Online FDP on High Performance Computing and Emerging Trends, Conducted by JIIT Noida during 27 May-1 June 2024.
• Delivered a talk on “Community Detection in Networks” in Online FDP on Graph Analytics Applications, Conducted by JIIT Noida during 25-31 July 2022.
• Delivered a talk on “Essentials of Artificial Intelligence “in webinars on “Key Topics in Computer Science & IT” conducted by JIIT Noida during August- December, 2020.
• Taken a hand-on session on “Data Analytics with R”, in Workshop on Big Data Systems, Tools and Applications, Conducted by JIIT Noida during 17-19 Dec 2018.
• Delivered a talk on “A Road ahead of Mining Software Repositories” in FDP on “Re-Imagining Computing: Engineering, Research, and Education” Conducted by JIIT Noida during July 4th – 10th, 2018.
• Delivered a talk on” Performance Assessment of Web information System” in FDP on “Performance Assessmentof Computing Systems” Conducted by JIIT Noida during July (10 -15) 2017.
• Delivered a talk on” Trends and innovations in Database course” in FDP on “Emerging Trends in Computing Education” Conducted by JIIT Noida during July (6 -11) 2015.
• Delivered a talk on” Issues for porting XML data into flexible analysis platform” in the Seminar on “Soft Computing Techniques” conducted by Maharaja Agrasen Institute of Technology, Rohini, December 21, 2007.

Awards & Achievements

• Recognized as the Quarterly Member and awarded free honorary Rosalind Member of London Journals Press (Membership ID#GC37501) on 19 May 2020 by the editorial board of London Journals Press (UK).
• Received Best paper award in 3rd Doctoral Symposium on Computational Intelligence (DoSCI 2022)- March 2022.

Reviewer Awards:

• Received Reviewer Certificate, March 2024, Journal of Software: Evolution and Process by Editor, Wiley
• Received Reviewer Certificate, April 2021 by Editors-in-Chief for Concurrency and Computation: Practice and Experience, Wiley
• Received Certificate of reviewing, Feb 2021 by Editor at large for Software: Practice and Experience, Wiley.
• Received Reviewer Certificate, Feb 2021 by Editors for Concurrency and Computation: Practice and Experience, Wiley
• Received Reviewer Certificate, Feb 2021 by Editor in chief for Computational Intelligence: An International Journal, Wiley.
• Received Reviewer Certificate, Feb 2020 by Editor in chief for Computational Intelligence: An International Journal, Wiley.
• Received Reviewer Certificate as the TPC Member, Sept 2020 for the International Conference on “Machine Intelligence and Data Science Applications (MIDAS-2020)”, Springer.
• Reviewing recognition, Nov 2020 for IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON 2020)”, IEEE.

Conference/ Fdp/Short Term Program Organized:

• Organised Committee Member in International Conference on Machine Learning and Data Engineering (ICMLDE-2023), UPES, Dehradun, 23-24, November 2023.
• Organized Online FDP on “Artificial Intelligence Tools” during June 28-July 03, 2023 at JIIT Noida.
• Organized Online FDP on “DevOps: Tools and Technologies” during December 26-31, 2022 at JIIT Noida.
• Organised a Session on International Conference on Machine Learning and Data Engineering, UPES, Dehradun, September 7-8, 2022.
• Organized Online FDP on “Graph Analytics Applications (GAA – 2022)” during 25-31 July, 2022 at JIIT Noida.
• Organizing Committee Member in 14th International Conference on Contemporary Computing (IC3-2022), JIIT, Noida, India, 4-6 August 2022. 
• Organizing Committee Member in 13th International Conference on Contemporary Computing (IC3-2021), JIIT, Noida, India, 05-07 August 2021. 
• Organized Online FDP on “Data Science Tools” during Feb 01-06,2022 at JIIT Noida.
• Organized One-week Short Term Course on “Deep Learning and Its Applications” during July (1-6), 2019 at JIIT Noida.
• Organized FDP on “Performance Assessment of Computing Systems” during July (10 -15) 2017, JIIT Noida.
• Organized Special session on ‘Social Network and Web’, Indiacom-2017, International Conference on computing for Sustainable Global Development, BVICAM, March (1-3) 2017.

Session Chair Responsibilities

• Session Chair, in International Conference on Intelligent Systems on cyber security, The North Cap University, Gurugram, India, 03-04 May, 2024.
• Session Chair, in International Conference on Machine Learning and Data Engineering (ICMLDE-2023), UPES, Dehradun, 23-24, November 2023.
• Session Chair, in International Health Informatics Conference (IHIC2023), organised by MERI College, New Delhi, on 17th-18th October 2023.
• Session Chair, 15th International Conference on Contemporary Computing (IC3-2022), JIIT, Noida, India, 03-05 August 2023. 
• Session Chair, 4th Doctoral Symposium on Computational Intelligence (DoSCI-2023)-An International Conference organized by the Institute of Engineering and Technology, a constituent Institute of Dr. APJ Abdul Kalam Technical University Lucknow, India, 03 March 2023.
• Session Chair, in 3rd Doctoral Symposium on Computational Intelligence (DOSCI-2022)- An International Conference, Institute of Engineering and Technology, a constituent college of Dr. APJ Abdul Kalam Technical University Lucknow, India, 05 March, 2022.
• Session Chair, in 1st International Conference on Informatics (ICI), JIIT, Noida, India, 14-16 April, 2022.
• Session Chair, in International Conference on Machine Learning and Data Engineering (ICMLDE-2022), University of Petroleum and Energy Studies, Dehradun, India, 07-08 Sept, 2022.
• Session Chair, in International Conference on Computational Intelligence and Data Science (ICCIDS 2019), The North Cap University, Gurugram, India, 06-07 Sept 2019. 

Journal Editorial Board Member:

• Guest Editor for a special issue on “Artificial Intelligence in Data Science (AIDS)” in Journal of Cases in Information Technology, IGI Global, Vol 24, Issue 3, 2022.