Dr. Jasminder Kaur Sandhu
Assistant Professor

jasminder.sandhu@chitkara.edu.in

Expert Areas : Machine Learning, Wireless Sensor Networks, Ensemble Modeling, Artificial Intelligence

Dr. Jasminder Kaur Sandhu is working as Assistant Professor, Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab.  She is having an additional charge of First Information Officer (FIO) – CURIN and Joint Editor of the Newsletter “Res Novae”. She is Ph.D. in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala. She completed her M.Tech. (CSE) securing top merit position at Punjabi University, Patiala. She is having approximately 10 years of research and teaching experience. She is an active reviewer of many reputed journals such as Springer International Journal of Machine Learning and Cybernetics, IEEE Access. She has to her credit more than 25 publications in reputed SCI-Indexed Journals and International Conferences. Her research interests include Machine Learning, Ensemble Modelling Artificial Intelligence, Soft Computing, Dependability Evaluation, Quality of Service, Wireless Sensor Networks, and Ad-Hoc Networks.

Dr. Jasminder Kaur Sandhu
  • Research
  • Teaching
  • Consulting
  • Awards
  • Patents
  • Education
  • Service

Journal Publications:

  1. Pundir, M. and Sandhu, J.K., 2021. A systematic review of Quality of Service in Wireless Sensor Networks using Machine Learning: Recent trend and future vision. Journal of Network and Computer Applications, Vol. 188. [SCI]
  2. Shukla, P.K., Sandhu, J.K., Ahirwar, A., Ghai, D., Maheshwary, P. and Shukla, P.K., 2021. Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images. Mathematical Problems in Engineering, 2021. [SCI]
  3. Sandhu J.K., VermaK. and Rana P.S. (2020), Enhancing dependability of wireless sensor network under flooding attack: A machine learning perspective, International Journal of Ad Hoc and Ubiquitous Computing, Inderscience, 2020, 33(2): 73-89. [SCIE]
  4. Sandhu J.K, Rana P.S. and Verma A.K. (2020), An Expert Approach for Data Flow Prediction: Case Study of Wireless Sensor Networks, Wireless Personal Communications, Springer, 2020, https://doi.org/10.1007/s11277-020-07028-4 [SCI]
  5. Rayal R., Khanna D., Sandhu J.K., Hooda N., Rana P.S. (2019), N-semble: Neural Network Based Ensemble Approach, International Journal of Machine Learning and Cybernetics, Springer, 10(2):337-345, 2019 https://doi.org/10.1007/s13042-017-0718-0 [SCIE]
  6. Mahato D.P., Sandhu J.K., Singh N.P. and Kaushal V. (2019) On Scheduling Transaction in Grid Computing using Cuckoo Search-ant Colony Optimization Considering Load“, Cluster Computing, Springer, 2019, https://doi.org/10.1007/s10586-019-03016-x [SCI]
  7. Sandhu J.K., Verma A.K., Rana P.S. (2018), A Novel Framework for Reliable Network Prediction of Small Scale Wireless Sensor Networks (SSWSNs), Fundamenta Informaticae, IOS Press, 160(3):303-341, 2018, https://doi.org/10.3233/FI-2018-1685 [SCI]
  8. Bhangu, K.S., Sandhu, J.K. and Sapra, L., 2021. Time series analysis of COVID-19 cases. World Journal of Engineering. [Scopus]
  9. Diksha, Sandhu, J.K., 2021, March. Robotic Process Automation for Prioritizing the Refund in Online Travel Agency. In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1006-1011). IEEE.
  10. Kaur, R. and Sandhu, J.K., 2021, March. A Study on Security Attacks in Wireless Sensor Network. In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 850-855). IEEE.
  11. Anjali, A., Sandhu, J.K. and Goyal, D., 2021, February. User Profiling in Travel Recommender System using Hybridization and Collaborative Method. In 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 143-148). IEEE.
  12. Bhangu, K.S., Sandhu, J.K. and Sapra, L., 2020, November. Improving diagnostic accuracy for breast cancer using prediction-based approaches. In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 438-441). IEEE.
  13. Mehta, A., Sandhu, J.K. and Sapra, L., 2020, November. Machine learning in wireless sensor networks: a retrospective. In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 328-331). IEEE.
  14. Kaur, R., Sandhu, J.K. and Sapra, L., 2020, November. Machine learning technique for wireless sensor networks. In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 332-335). IEEE.
  15. Mahato D.P., Sandhu J.K., Gitanshu, and Dutta K. (2020), Distributed Routing for Underwater Wireless Sensor Networks using Cuckoo Search-ant Colony Optimization“, 21st International Conference on Distributed Computing and Networking (ICDCN 2020), ACM, 39(1-5), 4-7 Jan 2020, Kolkata, India.
  16. Goyal N., Sandhu J.K., and Verma L. (2019), CDMA based Security against Wormhole Attack in Underwater Wireless Sensor Networks, 1st International Conference on Advanced Communication and Computational Technology (ICACCT 2019), IEEE, 1-5, 6-7 Dec 2019, Kurukshetra, India.
  17. Verma L., Sandhu J.K., Goyal N. (2019), Intelligent Method for Detection of Coronary Artery Disease with Ensemble Approach, 1st International Conference on Advanced Communication and Computational Technology (ICACCT 2019), IEEE, 1-5, 6-7 Dec. 2019, Kurukshetra, India.
  18. Mahato D.P., Sandhu J.K., Singh N.P., and Dutta K. (2019), Dependability Analysis for On-Demand Computing Based Transaction Processing System, International Conference on Advanced Information Networking and Applications (AINA 2019), Springer, 188-199, 27-29 Mar. 2019, Matsue, Japan.
  19. Mahato D.P. and Sandhu J.K. (2018), Modeling of Load Balanced Scheduling and Reliability Evaluation for On-demand Computing Based Transaction Processing System“, 14th International Conference on e-Science, IEEE, 390-391, 29 Oct. 1 Nov. 2018, Amsterdam, Netherlands.
  20. Sandhu J.K., Verma A.K. and Rana P.S. (2018), RCDR: Reliability Control Framework for Data Rate Prediction in Wireless Sensor Networks“, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 1049-1053, 28-29 Sept. 2018, Greater Noida, Uttar Pradesh, India.
  21. Sandhu J.K., Verma A.K., and Rana P.S. (2018) A Data-Driven Framework for Survivable Wireless Sensor Networks, 11th International Conference on Contemporary Computing (IC3), IEEE, 1-6, 2-4 Aug. 2018, Noida, India.
  22. Sandhu J.K. Saxena S. (2015), Procuring Wireless Sensor Actuator Network Security“, International Conference on Recent Cognizance in Wireless Communication and Image Processing, Springer, 905-916, 16-17 Jan. 2015, Jaipur, India.
  23. Sandhu J.K. Saxena S. (2014), Data Agglomeration in Wireless Sensor Networks“, International Conference on Parallel, Distributed and Grid Computing, IEEE, 285-289, 11-13 Dec. 2014, Solan, India.

 

Book Chapter Published:

  1. Sapra, V., Sapra, L., Sandhu, J.K. and Chhabra, G., 2021. Biomedical Diagnostics through Nanocomputing. In Nanotechnology(pp. 443-460). Jenny Stanford Publishing.
  2. Sandhu J.K., Verma A.K. and Rana P.S. (2019), Next Generation Adaptable Opportunistic Sensing-based Wireless Sensor Networks a Machine Learning perspective, Machine Learning for Computer and Cyber Security. CRC Press, 2019, pp. 48-74, eISBN: 9 https://doi.org/10.1201/9780429504044
  3. Sandhu J.K., Verma A.K. and Rana P.S. (2018), A Compendium of Security Issues in Wireless Sensor Networks, Computer and Cyber Security. Auerbach Publications, 2018, pp. 607-626. eISBN: https://doi.org/10.1201/9780429424878 .

Book Published:

  1. Goyal N., Verma L., and Sandhu J.K. (2021), Energy-Efficient Underwater Wireless Communications and Networking. IGI Global, Pages 339, eISBN: 9781799836421. doi: 10.4018/978-1-7998-3640-7.

Field of Specialisation:

Machine Learning, Wireless Sensor Networks, Quality-of-Service Prediction, Ensemble Modelling, Artificial Intelligence, Time-Series Analysis, Data Analytics and Visualization, Soft Computing.

 

Academic Events:

  1. Organized and delivered a One-Week Expert Talk on “Machine Learning for Real-World Problems” at Chitkara University, Punjab in association with ITMO University, Russia from 23.03.2021 to 27.03.2021.
  2. Organized a 5-days FDP on “HVAC&R for Energy Efficient Buildings” by ASHRAE Chandigarh Chapter and Thapar University, Patiala from 23.09.2020 to 27.09.2020
  3. Organized a 5-days STC on “Integrated Systems for Sustainable Buildings” by Chitkara University, Punjab and DAV University, Jalandhar in association with ASHRAE Chandigarh Chapter from 18.01.2021 to 22.01.2021
  4. Invited as a speaker for 3-days workshop on “Scientific Writing using LaTeX” from 28.09.2020 to 30.09.2020
  5. Invited to the opening ceremony of the Indo-Taiwan Joint Research Centre on Artificial Intelligence and Machine Learning at the Indian Institute of Technology Ropar on July 27, 2019.
  6. Successfully completed 2 weeks Intensive Faculty Development Program for Full Stack Developer at Virtusa, Chennai from July 1-12, 2019.
  7. Attended a Faculty Developmental Program (FDP) on Machine Learning and Applications at ABV–Indian Institute of Information Technology and Management Gwalior (ABV-IIITM Gwalior) jointly with Electronics & ICT Academy at PDPM IITDM Jabalpur from March 26-30, 2018.
  8. Participated in a Tutorial-Cum-Workshop on Wireless Radio Networks held at TIET, Patiala on Sept. 28, 2016.
  9. Participated in International Workshop on Machine Learning and its Applications held at South Asian University, New Delhi from April 29-30, 2016.
  10. Participated in Workshop on Fuzzy Sets, Fuzzy Logic and its Applications in Big Data Analytics held at TIET, Patiala from April 12-15, 2016.
  11. Member of Organizing Committee Fuzzy BDA (Fuzzy Big Data Analytics) group of CSED at TIET, Patiala.
  12. Member of Organizing Committee MC2 (Mobile Computing and Communication) group of CSED at TIET, Patiala.
  13. Participated in a Workshop on Wireless Network Simulation using NS-2 held at TIET, Patiala from March 13-15, 2014.
  14. Participated in International Workshop on Cloud Computing and High-Performance Computing held at TIET, Patiala on Dec. 5, 2016.
  15. Attended an International Conference on Recent Advances and Future Trends in IT (iRAFIT-2012) at Punjabi University, Patiala from March 21-23, 2012.
  1. Quality of Service Prediction of Wireless Networks using Machine Learning Techniques. Tools and Programming Languages Used: NS-2.35, AWK, Perl, R, SPSS, Python, Shell Programming.
  2. Detection and Mitigation of Denial-of-Service Attack in Wireless Sensor Network (December 2014). Tool Used: NS-2.35 Simulation Platform.
  3. Live Project on Customer Relationship Management (September 2008) at NSPL, Amritsar. Tool Used: .NET Framework Tools.
  • Awarded as ‘Gold Medalist’ in M.Tech. (CSE) by Panjabi University, Patiala.

Patent Filed:

  1. System and Method for Monitoring a Computing Device | Patent No.: 202011053005 | Dated: 05.12.2020 (Filed)
  2. Health Monitoring System and Device | Patent No.: 202011034666 | Dated: 12.08.2020 (Filed)
  3. System and Method for Facilitating Secure Routing in a Wireless Sensor Network | Patent No. 202011033543 | Dated: 05.08.2020 (Filed)
  4. Device for Cleaning, Sanitizing and Drying Objects | 202011032974 | 31.07.2020 (Filed)
  5. System and Method for Monitoring Cardiovascular Parameters of a Subject | Patent No. 202011017202 | Dated: 22.04.2020 (Filed)
  6. System and Method for Assessing Vulnerability of Wireless Sensor Network | Patent No. 202011009764 | Dated: 06.03.2020 (Filed)
  1. D. in Computer Science and Engineering from Thapar University, Patiala.
  2. M. Tech. in Computer Science and Engineering from Punjabi University, Patiala. [Gold Medalist]
  1. Currently working as Assistant Professor (Research) at Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab, India [March 2019- Present].  Having additional charge of First Information Officer (FIO) – CURIN and Joint Editor of the Newsletter “Res Novae”.
  2. Worked as Research and Teaching Associate, Thapar Institution of Engineering and Technology, Patiala, Punjab, India [July 2014 – Feb. 2019].