Specialization

Data Modelling, Epidemiology, Data Privacy, Social Network Analysis

Email

vaishali.kansal@thapar.edu

Education
1.    PhD in Computer Science and Engineering from Indian Institute of Technology, Roorkee
o    Title – Advanced Epidemic Modelling, Prediction and Control: Analysis of COVID-19 Pandemic in India 
2.    M. Tech. in Computer Science and Engineering from National Institute of Technology, Kurukshetra.
3.    B. Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. 
4.    Schooling from Ch. Chhabil Dass Public School (CBSE), Uttar Pradesh

Trainings
1.    Completed course on Neural Networks and Deep Learning authorized by DeepLearning.AI and offered through Coursera in 2022.
2.    Completed course on Supervised Machine Learning: Regression and Classification authorized by DeepLearning.AI and Stanford University and offered through Coursera in 2022.
3.    Completed NPTEL 8 week course on “Cloud Computing”, coordinated by IIT Kharagpur in 2019.
4.    Completed NPTEL 8 week course on “Introduction to R Software, coordinated by IIT Kanpur in 2019.
5.    Completed 6 week course on “.Net” from Ducat Noida in 2013.
6.    Completed 8 week course on “Core Java” from Ducat Noida in 2012.
7.    Attended the ACM India Joint International Conference on Data Science and management of Data (CODS-COMAD 2023), conducted by IIT Bombay
8.    Attended Indian Symposium on Machine Learning (INDOML 2022), conducted by IIT Gandhinagar
9.    Attended one-week Faculty Development Programme on “Data Analytics with special focus on Python”, conducted by ICT Academy, IIT Roorkee in 2019
10.    Presented paper in “International Conference on Intelligent Computing and Smart Communication (ICSC) 2019”, sponsored by Springer in 2019.
11.    Organised the “International Conference on Intelligent Computing and Smart Communication (ICSC) 2019”, sponsored by Springer in 2019.
12.    Attended three-day workshop on “Artificial Intelligence and Soft Computing Techniques (Theory and Practice)”, organised by Cochin University of Science and Technology, Kochi under TEQIP-III in 2019.
13.    Attended one-week training workshop on “Advance Pedagogy and Digital Tools” at IIT Roorkee, sponsored by TEQIP-III in 2019.
14.    Organized Student Development Programme on “Bridging the gap between Industry and Academics”, held at THDC-IHET in 2019
15.    Organized Short Term Course on “Network and cyber security”, sponsored by TEQIP-III in 2018
16.    Attended workshop on “Outcome-based education (OBE)”, sponsored by TEQIP-III in 2018.
17.    Attended Faculty Induction Program on “Modelling, Simulation and Implementation using MATLAB”, sponsored by TEQIP-III in 2018
18.    Attended one-week “Faculty Induction Program” at IIT Hyderabad, sponsored by TEQIP-III in 2018.
19.    Organized a workshop on “Basics of Microsoft Office Tools” for non-teaching staff at KIET Group of Institutions in 2017.
20.    Attended Faculty Induction Program on “Cloud Computing” at KIET Group of Institutions in 2017.
21.    Attended workshop on “Effective Research Paper Writing” at KIET Group of Institutions in 2017
22.    Presented paper in “International Conference on Computing, Communication and Automation (ICCCA2017)” sponsored by IEEE in 2017
23.    Presented paper in “2017 International Conference on Computer, Communications and Electronics (Comptelix 2017)” sponsored by IEEE in 2017
24.    Presented paper in “International Conference on Innovations in Control, Communication and Information Systems (ICICCI-2017)” sponsored by IEEE in 2017
25.    Attended the seminar on “Android”, organised by DUCAT in 2012
26.    Attended the “National Conference on Emerging Trends in Computing and Information Technology”, sponsored by AICTE in 2011.
 

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (January 2025 - present)
2.    Assistant Professor, Computer Science and Engineering Department, THDC-IHET (TEQIP-III Sponsored), Tehri Garwal, Uttarakhand India (January 2018 – November 2019)
3.    Assistant Professor, Computer Science and Engineering Department,KIET Group of Institutions, Ghaziabad, India (July 2017 – December 2017)

Journal Publications
1.    Kansal, V., & Pandey, P. K. (2025). Assessing Effectiveness of COVID-19 Vaccine in India Through SE 2 I 6 R 4 D 4 V Compartmental Model Using a Cohort Study. IEEE Transactions on Computational Social Systems, 1-12. DOI:10.1109/TCSS.2025.3552579
2.    Kansal, V., & Pandey, P. K. (2024). Stability and Parameter Sensitivity Analyses of SEI3R2D2V Model to Control COVID-19 Pandemic. IEEE Transactions on Computational Social Systems, 11(3), 4511-4523. DOI: 10.1109/TCSS.2024.3362885. [Cited by 2]
3.    Kansal, V., & Pandey, P. K. (2022). SEI3R2D2V: Pandemic Modeling and Analysis of Its Latent Factors: A Case Study of COVID-19 in India. IEEE Transactions on Computational Social Systems, 11(1), 625-638. DOI: 10.1109/TCSS.2022.3225639.[Cited by 5]

Conference Publications
1.    Kansal, V., & Dave, M. (2020). Proactive ddos attack mitigation in cloud-fog environment using moving target defense. arXiv preprint arXiv:2012.01964. [Cited by 7]
2.    Kansal, V., & Dave, M. (2020). Improving the effectiveness of moving target defenses by amplifying randomization. In International Conference on Intelligent Computing and Smart Communication 2019: Proceedings of ICSC 2019 (pp. 27-36). Springer Singapore. DOI: 10.1007/978-981-15-0633-8_4. [Cited by 2]
3.    Kansal, V., & Dave, M. (2017, July). Proactive DDoS attack detection and isolation. In 2017 International Conference on Computer, Communications and Electronics (Comptelix) (pp. 334-338). IEEE. DOI: 10.1109/COMPTELIX.2017.8003989 [Cited by 21]
4.    Kansal, V., & Dave, M. (2017, May). DDoS attack isolation using moving target defense. In 2017 International Conference on Computing, Communication and Automation (ICCCA) (pp. 511-514). IEEE. DOI: 10.1109/CCAA.2017.8229853.[Cited by 15]
Book Chapter publication
5.    Kansal, V., & Pandey, P. (2022). Deep Digging of Anomalous Transactions in Financial Networks with Imbalanced Data. In Deep Learning for Social Media Data Analytics (pp. 277-299). Cham: Springer International Publishing. DOI:10.1007/978-3-031-10869-3_15.[Cited by 2]

Honours and Achievements
●    Gate 2015 qualified with 641 score
●    Qualified Graduate Aptitude Test in Engineering (GATE) two times.
●    Qualified National Eligibility Test (UGC-NET) for Assistant Professor in 2016.
●    Worked as an NBA coordinator for 2 years at THDC-IHET