Specialization

Machine Learning

Email

himika.sharma@thapar.edu

Education
1.    PhD in Computer Science and Engineering from Panjab University, Chandigarh.
             Title – “Development of an Approach to Study the Effect of Alternative and      Complementary Therapy on Human Brain using EEG”
2.    M. E. in Information Technology from Panjab University, Chandigarh.
3.    B. Tech. in Computer Science & Engineering from Punjab Technical University, Jalandhar.

Experience
1) Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (November, 2023 - present)
2) Assistant Professor in PCTE college, Ludhiana (Jan. 2022 – Dec.2022).
3) H.O.D. in R and D polytechnic college, Ludhiana (Oct. 2021- Dec. 2021).
4) Academic tutor (Maths and Physics) Gambhirs Coaching Center, Rajpura (March
2014-Dec 2015).

Workshops
1)    Participated in two days workshop on “Biomedica;l Engineering: Harmonizing the Research & Curricula” held at Sant longowal Institute of Engineering and Technology,30 th Sept– 1 st Oct, 2016.
2)    Participated in two days workshop on “Awareness of Intellectual Property Rights” held at UIET, Panjab University, Chandigarh, 28 th – 29 th April, 2016.
3)    Participated in two days workshop on “Recent Trends in Signal Processing” held at Chitkara University, 8 th – 9 th April, 2016.
4)    Participated in five days workshop on “Machine Learning for Medical Image Analysis” held at IIT Mandi, June 24 th -28 th , 2015. 
5)     Contributed as member of organizing committee in organization of “2 nd International Conference on Recent Advances in Engineering and Computational Sciences- 2015”, December 21 st – 22 nd , 2015.
6)    Attended two days Symbosium on “Emerging Trends in Telecommunication and IT” held at UIET, Panjab University, Chandigarh, Oct 3 rd – 4 th , 2013.

Journal publications
1)    Sharma H, Raj R, Juneja M. An empirical comparison of machine learning algorithms for the classification of brain signals to assess the impact of combined yoga and sudarshan kriya. Computer methods in biomechanics and biomedical engineering. 2022 May 19;25(7):721-8. SCI Indexed, IF:2.030)
2)    Sharma, H., Raj, R. and Juneja, M., 2019. EEG signal based classification before and after combined Yoga and Sudarshan Kriya. Neuroscience letters, 707, p.134300.(SCI Indexed, IF: 3.046)
3)    Sharma H, Juneja M. Feature Extraction Methods for EEG signal Analysis: A Survey. International Journal of Electronics, Electrical and Computational System. 2018: 128-131.(Scopus Indexed)
4)    Sharma H, Juneja M. Published a research paper. A Survey to Study the Effect of Meditation on Brain Signals. International Journal of Control Theory and Applications. 2017: 751-754. 
5)    Garg, R. and Sharma, H., 2014. Proposed lightweight Sybil attack detection technique in MANET. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(5), pp.7142-7147. (IF: 7.282)
6)    RoopaliGarg, H.S., 2014. Comparison between Sybil Attack Detection Techniques: Lightweight and Robust. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(2). (IF: 7.282)
7)    Garg, R. and Sharma, H., 2013. Prevention Techniques for Sybil Attack. International Journal of Computers and Technology, 11(10), pp.3060-3064. (IF: 1.213)

Conference publications
1)    Sharma, H. and Garg, R., 2014, September. Enhanced lightweight sybil attack detection technique. In 2014 5th International Conference-Confluence The Next Generation Information Technology Summit (Confluence) (pp. 476-481). IEEE.