Specialization

Information Retrieval Systems, Machine Learning, Social Network Analysis, Intelligent Databases, Cultural Computing, and Software Engineering.

Email

harkiran.kaur@thapar.edu

Biography:

Dr. Harkiran Kaur is Faculty in Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, since December 2012. She is also performing her duties as Coordinator for conducting UG Surveys. She received her has received her Ph.D. degree from done Punjabi University, Patiala, Punjab, India in 2020, M.E. (Gold Medalist) from Thapar University in 2012, Patiala, and B.Tech (CSE) with distinction. She had been awarded PG University Scholarship and teaching assistantship at Thapar University, Patiala during Master of Engineering. She has teaching experience of 10.5 years. She has also attended a number of workshops and faculty development programmes. She had developed Project "Cheques Drawn Reconciliation" (Front End - ASP.NET, C#. NET and Back End Oracle 9i) in Punjab State Power Corporation Limited (H.O.) O/O SE/IT Patiala. 

Research profile: She has more than 40 research publications in reputed journals and international/national conferences. She has guided eight (08) M.E. Candidates for their thesis. She has guided multiple B.Tech students/groups for the research projects. She is mentoring UG student groups for developing Capstone Projects and other research applications. 

Research Projects
•    An Efficient Expert System for Proactive Fire Detection (Research paper for the project implemented published in International Conference on Innovative Computing and Communications (pp. 613-622). Springer, Singapore).
•    Text Analytics of web posts' comments using sentiment analysis (Research paper for the project implementation published in International Conference and Workshop on Computing and Communication (IEMCON 2015) IEEE 2015).

Membership of Professional Institutions, Associations, Societies
•    Member of Editorial Board of STM Journals
•    Member of Editorial Board of International Journal of Core Research in Communication Engineering
•    Reviewer in ASTES Journal

Publications and other Research Outputs
•    Kaur, H., Singh, K., & Kaur, T. (2021). Evolutionary Intelligent Data Warehousing Approach to Knowledge Discovery Systems: Dynamic Cubing. Recent Advances in Computer Science and Communications, 14(6), 1872 - 1885. doi:https://doi.org/10.2174/2666255813666191211113623.
•    Singla, V., & Kaur, H. (2020). An Efficient Expert System for Proactive Fire Detection. In International Conference on Innovative Computing and Communications (pp. 613-622). Springer, Singapore.
•    Singh, N., Bawa, S., & Kaur, H. (2020). Enhanced Economy Based Smart Parking System Using Machine Learning (January 9, 2020). Proceedings of Industry Interactive Innovations in Science, Engineering & Technology (I3SET2K19), Available at SSRN: https://ssrn.com/abstract=3516600 or http://dx.doi.org/10.2139/ssrn.3516600
•    Kaur, H., Singh, K., & Kaur, T. (2020). Cognitive Science Based Design of Smart Coaching Schema. Advances in Mathematics: Scientific Journal, 9(6), 3751–3757.
•    Kaur, H., Singh, K., & Kaur, T. (2019). Utility of OLAP and Digital ATLAS to Enhance Cross-Border Connectivity among Punjabi Sikh NRIs. In Proceedings of 2nd International Conference on Communication, Computing and Networking (pp. 551-558). Springer, Singapore.
•    Kaur, H., Singh, K., & Kaur, T. (2019). Implementing Multidimensional Analytics in NRIs Directory Databases. In Proceedings of 2nd International Conference on Communication, Computing and Networking (pp. 559-566). Springer, Singapore.
•    Kaur, G., & Kaur, H. (2019). Descriptive Data Analysis of Real Estate Using Cube Technology. In Emerging Research in Computing, Information, Communication and Applications (pp. 237-250). Springer, Singapore.
•    Kaur, H., & Kaur, G. (2019). Comprehensive Survey of OLAP Models. Harmony Search and Nature Inspired Optimization Algorithms, 415-422.
•    Kaur, H., Singh, K., & Kaur, T. (2019). OLAP Approach to Visualizations and Digital ATLAS for NRIs Directory Database. In Harmony Search and Nature Inspired Optimization Algorithms (pp. 611-619). Springer, Singapore.
•    Nath, B., & Kaur, H. (2019, March). Predicting Financial Distress in Enterprises by Applying Multilevel Ensemble Technique. In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT) (pp. 1-4). IEEE.
•    Kaur, H., & Phutela, A. (2018, January). Commentary upon descriptive data analytics. In 2018 2nd International Conference on Inventive Systems and Control (ICISC) (pp. 678-683). IEEE.
•    Phutela, A., & Kaur, H. (2018, July). Applying Descriptive and Predictive Analytics on Academic Dataset. In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE) (pp. 2397-2405). IEEE.
•    Kaur, G., & Kaur, H. (2018, September). Non-dominated Sorting Genetic Algorithm-III Based Meta Decision Tree. In 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE) (pp. 162-167). IEEE.
•    Kaur, G., & Kaur, H. (2018, September). Hybridizing J48 and SVM for Predicting Sale and Purchase of Property. In 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE) (pp. 140-145). IEEE.
•    Kaur, G., & Kaur, H. (2018, September). Factual Dimension Identification and Usage for Real Estate Framework. In 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE) (pp. 23-27). IEEE.
•    Misra, M., Yadav, A. P., & Kaur, H. (2018, July). Stock Market Prediction using Machine Learning Algorithms: A Classification Study. In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE) (pp. 2475-2478). IEEE.
•    Kaur, A., & Kaur, H. (2018, July). Improving Software Process Quality Using 3D Six Sigma Approach. In 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 11-15). IEEE.
•    Sheoran, A., & Kaur, H. (2018, May). IEFA—A Fuzzy Framework for Image Enrichment. In International Conference on ISMAC in Computational Vision and Bio-Engineering (pp. 1295-1306). Springer, Cham.
•    Ghai, S., Mangal, K., & Kaur, H. (2018). Execution of TQM: Synopsis of Real Case Studies. Materials Management Review, 14(11), 23-27.
•    Kaur, H., Singh, K., & Kaur, T. (2017). An Assessment of Intelligent Access Tools for Creating Digital Diasporas. International Conference, ‘Diaspora and development: Emerging Multidisciplinary Dynamics of Indian/Punjabi Migration (pp. 81-102). Publication Bureau, Punjabi University, Patiala.
•    Jindal, S., & Kaur, H. (2016). Intensification of Resolution in the Realm of Digital Imaging. International Journal of Computer Engineering In Research Trends, 3(6), 343-346.
•    Singh, R., Bagla, R., & Kaur, H. (2015, October). Text analytics of web posts' comments using sentiment analysis. In 2015 International Conference and Workshop on Computing and Communication (IEMCON) (pp. 1-5). IEEE.
•    Gupta, A., Kaur, H., & Batra, S. (2015). Topic sensitive web page ranking through graph database. In Emerging Research in Computing, Information, Communication and Applications (pp. 519-527). Springer, New Delhi.
•    Kaur, H., Singh, K., & Kaur, T. (2015). Bringing closer to the Cultural Roots through Cultural Computing: Detailed Analysis of movie 'Chaar Sahibzaade'. National Conference on Advances in Engineering, Technology & Management (AETM'15). 1, pp. 9-14. IOSR - JCE.
•    Kaur, H., & Bawa, S. (2013). Creating Digital Archives of Ancient Scriptures using CAPTCHAs. International Journal of Computer Applications, 64(15), 29-37.
•    Kaur, H., & Bawa, S. (2013). Use of Semantic Relatedness for Intelligent Access to Cultural Information. International Journal of Computer Applications, 64(15).

Conferences and Faculty Development Programmes Attended
FDPs and Workshops:
•    Online FDP on Python Programming organized by Department of CSE, KL Deemed to be University, Hyderabad, 2020.
•    CAPSL, The New Direction Program at TIET, Patiala, 2019.
•    Workshop on Systematic Literature Review by LM Thapar School of Management, Thapar Institute of Engineering and Technology, Dera Bassi Campus at TIET, Dera Bassi Campus, 2019.
•    Thapar Six Week Summer School on Machine Learning and Deep Learning -2019 at CSED, TIET Patiala.
•    Workshop on Development of MOOCs under research project Innovative Research in Pedagogy for Mini-MOOCs blended with Instruction Strategies to Enhance Quality of Higher Education Sponsored by Royal Academy of Engineering (UK) and Thapar University, Patiala at TIET Patiala, 9th- 10th September, 2017.
•    4-week online course, MOOC Life Cycle, authorized under Royal Academy of Engineering (UK) and Thapar University, Patiala sponsored Research Project offered through Future Learn Platform, 2017.
•    4-week online course, How to Create a Great Online Course, authorized under Royal Academy of Engineering (UK) and Thapar University, Patiala sponsored Research Project offered through Future Learn Platform, 2017.
•    Faculty Development Program organized by Center for Training and Development at Thapar Institute of Engineering & Technology, Patiala at TIET Patiala,18th, 22nd and 23rd May, 2018.
Conferences:
•    International Conference on Applications of Machine Learning (ICAML 2020) at Punjabi University Patiala, 2020.
•    2nd International Conference on Communication, Computing and Networking, (ICCCN 2018) at NITTTR Chandigarh, 29-30 March 2018.
•    4th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2018)    at BML Munjal University, Gurgaon, India, February 7–9, 2018.

Awards and Honours
Have been awarded the University Medal for securing the highest C.G.P.A. in ME(SE) in June 2012 from Thapar University, Patiala.

Description of Research Interests
Information Retrieval Systems, Machine Learning, Social Network Analysis, Intelligent Databases, Cultural Computing, and Software Engineering.