Specialization

Social Network Analysis and Mining, Machine Learning, Deep Learning, Natural Language Processing

Email

ravneet.kaur1@thapar.edu

Google Scholar Link
https://scholar.google.com/citations?user=y9LdFI8AAAAJ&hl=en&oi=sra

Education
•    PhD in Computer Science and Engineering, from University Institute of Engineering and Technology (UIET), Panjab University, Chandigarh in 2021.
•    M.E. in Computer Science and Engineering from University Institute of Engineering and Technology (UIET), Panjab University, Chandigarh in 2015.
•    B.E. in Computer Science and Engineering from Chandigarh College of Engineering and Technology (CCET), Panjab University, Chandigarh in 2013.

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University, Patiala, India (June 2021 - present)
2.    Assistant Professor, Cyber Security Research Centre (CSRC), Punjab Engineering College (PEC), Chandigarh (Feb 2021- June 2021)
3.    Research Fellow, Development of 4G/5G based UAV Augmented Intelligent Monitoring and Surveillance System UIET, PU, Chandigarh (October 2020 – February 2020). 
4.    Assistant Professor, Cyber Security Research Centre (CSRC), Punjab Engineering College (PEC), Chandigarh (January 2020- June 2020)

Conferences/Workshops/FDP/Courses Attended
•    One Week FDP on Internet of Things-A Practical Approach
organised by Maharaja Surajmal Institute of Technology, New Delhi, India, December 2021.
•    Attended workshop Developing Machine Learning Skills in Python at UIET, Panjab University, Chandigarh, March, 2018.
•    Participated in 5-day summer school on Social Networks at IIT Ropar, Punjab, India, June 2017.
•    Attended workshop on Recent Research Trends in Social Media and Network Analysis at UIET, Panjab University, Chandigarh, India, March 2017.
•    Six days Workshop on Big Data and Hadoop organized by AICRAD Study Pvt. Ltd at I.K Gujral Punjab Technical University, Jalandhar, Punjab, India
•    Attended a 5 day STTP on Advance Engineering Optimization through Intelligent Techniques at SVNIT, Surat, Gujrat, India in March 2016.
•    Participated in Oracle Sponsored FDP on Database Design using SQL Programming at CCET, Chandigarh, India in May, 2015.
•    Completed a TEQIP sponsored Online course on Architecting Software for the Cloud: An Online Course on Building Cloud Based Applications conducted by IIT Ropar and IIT Kanpur in November, 2014.
•    Certified in various courses from Course-Era and Udemy in fields of Cryptography, Natural Language Processing, Deep Learning and Machine Learning from various foreign universities

Journal publications
1.    Ravneet Kaur, Sarbjeet Singh, and Harish Kumar. "TB-CoAuth: Text Based Continuous Authentication for Detect- ing Compromised Accounts in Social Networks.", Applied Soft Computing, Elsevier, 97 (2020): 1-17.
Indexing: SCIE and SCOPUS. Impact Factor: 8.263. 

2.    Ravneet Kaur, Sarbjeet Singh, and Harish Kumar. "An Intrinsic Authorship Verification Technique for Compromised Account Detection in Social Networks" Soft Computing, Springer, 25, (2020): 4345-4366.
Indexing: SCIE and SCOPUS. Impact Factor: 3.732 

3.    Ravneet Kaur, Sarbjeet Singh, and Harish Kumar. "AuthCom: Authorship verification and compromised account detection in online social networks using AHP-TOPSIS embedded profiling based technique." Expert Systems with Applications, Elsevier, 113 (2018): 397-414.
Indexing: SCIE and SCOPUS. Impact Factor: 8.665. 

4.    Ravneet Kaur, Sarbjeet Singh, and Harish Kumar. "Rise of spam and compromised accounts in online social networks: A state-of-the-art review of different combating approaches." Journal of Network and Computer Applications, Elsevier, 112 (2018): 53-88.
Indexing: SCIE and SCOPUS. Impact Factor: 7.574.
5.    Ravneet Kaur, and Sarbjeet Singh. "A comparative analysis of structural graph metrics to identify anomalies in online social networks." Computers & Electrical Engineering, Elsevier, 57 (2017): 294-310.
Indexing: SCIE and SCOPUS. Impact Factor: 4.152.
6.    Ravneet Kaur, and Sarbjeet Singh. "A survey of data mining and social network analysis based anomaly detection techniques." Egyptian informatics journal, Elsevier, 17.2 (2016): 199-216.
Indexing: SCIE and SCOPUS. Impact Factor: 4.195.
7.    Ravneet Kaur, and Sarbjeet Singh. "A review of social network centric anomaly detection techniques." International Journal of Communication Networks and Distributed Systems, Inderscience Publications, 17.4 (2016): 358-386. Indexing: SCOPUS and ESCI. 


International Conferences
1.    Ravneet Kaur, Sarbjeet Singh, and Harish Kumar. "MetaCom: Profiling Meta Data to Detect Compromised Accounts in Online Social Networks" CCIS Proceedings of 5th International Conference on Future Network Systems and Security (FNSS-2019). Springer, 2019. CCIS, Springer, 2019.
Indexing: SCOPUS, Held at Deakin University, Melbourne, Australia
2.    Ravneet Kaur, Sarbjeet Singh, and Harish Kumar. "Authorship Analysis of Online Social Media Content." Proceedings of 2nd International Conference on Communication, Computing and Networking. Springer, Singapore, 2019. LNNS, Springer, 2019.
Indexing: SCOPUS Held at NITTTR-26, Chandigarh, India
3.    Ravneet Kaur, and Sarbjeet Singh. "Detecting anomalies in online social networks using graph metrics." 2015 annual IEEE India conference (INDICON). IEEE, 2015.
4.    Ravneet Kaur, Mankirat Kaur, and Sarbjeet Singh. "A novel graph centrality based approach to analyze anomalous nodes with negative behavior." Procedia Computer Science 78, pp. 556-562, 2016.
Indexing: SCOPUS
5.     Gurleen Kaur, Ravneet Kaur. “Pedestrian Identification and Social Distance Detection in UAV videos using YOLOv3”, Springer LNNS (In Press). Indexing: SCOPUS

Other activities
•    Qualified GATE 2013 (AIR 2138 SCORE 538), GATE 2014 (AIR 5290 SCORE 469), GATE 2015 (AIR 5368 SCORE 468) 

•    Qualified UGC-NET (for Assistant Professor) in Computer Science and Applications, January 2018 

•    2nd Topper of college in B.E. and 2nd Topper of college in M.E. 

•    Got Research Award and a cash prize of Rs. 5,000/- for the best publication in an SCI/SCIE indexed journal in the 
year 2019 at Panjab University, Chandigarh. 

•    Was selected as a PhD Research Fellow in one of the prestigious scholarship named "Visvesvaraya PhD Scheme" by Ministry of Electronics & IT, Government of India. 

•    Awarded College Merit Scholarship for securing one of the first 3 Positions in B.E., consecutively (in 2nd , 3rd and 4th Year)
•    Awarded Oracle Academy Instructor Designation by Oracle India
•    Winner Certificate for 1st Junior Chandigarh State Dodgeball Championship
•    Secured 1st position in Bhangra in Folk dance Competition at APRATIM, 2011