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Monu Verma (Ph. D. Scholar)

Dept. of Computer Science & Engineering
Malaviya National Institute of Technology, Jaipur
Vision Intelligence Lab, JLN Marg, Jaipur, Rajasthan, 302017, India
E-mail-   2017rcp9029@mnit.ac.in     monuverma.cv@gmail.com
Advisor(s): Dr. Santosh kumar Vipparthi, Assistant Professor@MNIT Jaipur
                    Dr. Girdhari Singh, Professor@MNIT Jaipur
Monu Verma received her B. Tech degree in Computer Science and Engineering from Govt. Engineering College Bikaner, India, in 2013. She received her M. tech degree in 2016 from the National Institute of Technology Jalandhar, India. She is currently pursuing her Ph. D. under the supervision of Dr. Santosh Kumar Vipparthi and Dr. Girdhari Singh, at the Department of Computer Engineering, Malaviya National Institute of Technology Jaipur. She is currently working on the projects: 'Facial Expression Recognition' and 'Micro Expression Recognition'. She has been awarded by international fellowship "Shastri Research Student Fellowship (SRSF) Doctoral Award for the year 2018-19" at Concordia university Montreal, Canada under Prof. Nizar Bouguila.

RESEARCH INTERESTS

• Facial Expression Recognition      • Micro Facial Expression Recognition      • Depression Analysis Through Facial Expression Recognition      • Pain Detection Through Facial Expression Analysis      • Deep Learning: CNN networks for Classification
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JOURNALS

1. Monu Verma,Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala, “LEARNet: Dynamic Imaging Network for Micro Expression Recognition,” IEEE Transactions on image processing, 2019(Impact Factor 9.34).
2. Monu Verma, Santosh Kumar Vipprathi, Girdhari Singh, "HiNet: Hybrid Inherited Feature Learning Network for Facial Expression Recognition ," IEEE Letters of the Computer Society , 2019.
3. Murari Mandal, Monu Verma, Sonakshi Mathur, Santosh Vipparthi, Subrahmanyam Murala, Kranthi Deveerasetty, "RADAP: Regional Adaptive Affinitive Patterns with Logical Operators for Facial Expression Recognition," IET Image Processing, 12pp, 2019(Impact Factor 2.004).
4. Monu Verma, Rajneesh rani, "Significant Secret Image Sharing Scheme Based on Boolean Operation," CYBERNETICS AND INFORMATION TECHNOLOGIES, vol. 17, no. (2),pp. 134-150, 2017.

CONFERENCES

1. Monu Verma, Santosh Kumar Vipparthi, Girdhari singh, “Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition,” IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020.
2. Gopa Bhomik, Monu Verma, M. C. Govil, Santosh Kumar Vipparthi, “EXTRA: An extended radial mean response pattern for hand gesture recognition,” ICCSP, Madras, INDIA, 2020.
3. Monu Verma, Prafulla saxena, Santosh Kumar Vipparthi, Girdhari Singh, S. K. Nagar, "DeFINet: PORTABLE CNN NETWORK FOR FACIAL EXPRESSION RECOGNITION," IEEE International Conference on Information and Communication Technology for Competitive Strategies, Udaipur, INDIA, 2019.
4.Monu Verma, Jaspreet Kaur Bhui, Santosh Kumar Vipparthi, Girdhari Singh, EXPERTNet: Exigent Features Preservative Network for Facial Expression Recogntion. ACM 11th International Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Hyderabad, India, 2018.
5.Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi, Gridhari Singh, QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition, IEEE International Conference on Systems, Man, and Cybernatics, Miyazaki, Japan, pp. 1498-1503, 2018.
6.Monu Verma,Santosh Kumar Vipparthi, Girdhari Singh, Region Based Extensive Response Index Pattern for Facial Expression Recognition . IEEE International Conference on Communication, Computing and Internet of Things (IC3IoT), pp.20-24, Chennai India, 2018.
7.Monu Verma,Rajneesh Rani, Strong threshold secret image sharing based on boolean operation. . IEEE International Conference on Computing, Communication and Automation (ICCCA), pp.1145-1149, Greator Noida, India, 2016.

AWARDS

• Shastri Research Student Fellowship (SRSF) Doctoral Award for the year 2018-19.
• IEEE CIS Student Complimentary Registration Grant - WCCI 2020.