Jaypee Institute of Information Technology, Noida
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  • Prof. Neetu Sardana
Professor
neetu.sardana@jiit.ac.in

Education

  • Ph.D. (Computer Science and Applications) – K.U., Kurukshetra ( August 2011) 
  • M.C.A. – M.D.U., Rohtak  (1998-2001)      
  • B.Sc (Computer Science)  -  K.U., Kurukshetra (1994-1997)

Biography

Neetu Sardana is Professor in the Department of Computer Science and Engineering (CSE), 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 19 years of teaching experience. Her research interests include Web Mining, Social Network Analysis, Data Science and Mining Software Repositories. She has published more than 60 research papers in various reputed indexed journals book chapters and peers reviewed conferences. She had supervised four PhDs, fifteen MTech Thesis and several BTech. Major and Minor projects. Currently, she is guiding three Ph.D.’s. She is a member of ACM and IEEE. She is associated with various journals as a reviewer which are of high standards and indexed in SCI/(E).

Work Experience :10+ Years in Academics.

  • 08 September 2017 to till date 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.

Publications

International Journals

  • Goyal, A.Sardana, N., IMNRFixer: A hybrid approach to alleviate class-imbalance problem for predicting the fixability of Non-Reproducible bugs, Journal of Software: Evolution and Process, Wiley, 2020. (In Press)
  • 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, Decomposition and Compression of Backward Browsing for
  • Efficient Session Regeneration and Navigation 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 .(Indexed in Scopus, Web of Science)
  • 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.(Scopus, DBLP Indexed)
  • 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.(Indexed in Scopus, H index:10,IF:0.33,citations:7)
  • 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 (Indexed in Scopus, H index:17,IF:0.33,citations:7).
  • 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. (Indexed in Scopus, H index:10,IF:0.8,citations:7)
  • AmanpreetKaur , Neetu Sardana, ”A Novel Image Steganography (NIS) Technique”, International Journal Of Engineering And Computer Science, Volume2 Issue 8 August, 2013 Page No. 2533-2535(Google Scholar Indexed).
  • 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.( Google Scholar Indexed)
  • 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. (Google Scholar Indexed)
  • 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

International / National Conferences

  • 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
  • Ayushi Verma, Neetu Sardana, Role of Popularity and Recency for the discovery of experts in Stack Exchange Software Engineering Q&A Website, 3rd Doctoral Symposium on Computational Intelligence (DoSCI-2022)-An International Conference organized by Institute of Engineering and Technology, Dr APJ Abdul Kalam Technical University Lucknow, India, 05th March, 2022.
  • Neetu Sardana, DhanshreeTejwani, 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, DhanshreeTejwani, 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.
  • Akhil Puri, Pallavi, A, Neetu Sardana, “Analysis and Prediction of Traffic Conditions based on twitter semantics for planned events”, ICCM, Dec 28-29, 2017.
  • 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

Book Chapter

  • 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. 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

Conferences/ Seminar Organized

  1. National Conference on “Challenges in Information Systems and Technology” on September 09, 2011.
  2. One Day Seminar on “Project Management: Guru Mantra for Success” on December 12, 2008.
  3. One Day Seminar on “IT Security Paradigms”, February 08, 2008.
  4. One day Seminar on “Data Storage and Retrieval: The State of Being”, April 18, 2007.

FDP attended

  • Organized Special session on ‘Social Network and Web’, Indiacom-2017, International Conference on computing for Sustainable Global Development, BVICAM, March (1-3) 2017.
  • Organized FDP on “Performance Assessment of Computing Systems” at JIIT Noida, July (10 -15) 2017.
  • Neetu Sardana attended FDP on High Performance Computing Using Oracle 12c Database at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), on 16th November 2013.

Resource Person

  • Delivered a lecture 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.
  • Delivered a lecture 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 lecture on ”Performance Assessment of Web information System” in  FDP on “ Performance Assessment of Computing Systems” Conducted by JIIT Noida during July (10 -15) 2017.
  • Delivered a lecture 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
  • Taken a Hand-on session on “R Programming workshop”, Workshop on Big Data Systems, Tools and Applications, Conducted by JIIT Noida during 17-19 Dec 2018

 

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, 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 Certificateas 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.