Ms. Sneha Mishra

Assistant Professor

Area of Specialization:
Image Processing, Computer Vision, Machine Learning

 

Email:
sneha.mishra@niu.edu.in, snehariet@gmail.com

 

EXPERIENCE:

Total teaching Experience:     1 Year

  • Since October 2021 working as Assistant Professor, Noida International University, Noida.
  • Worked as Assistant Professor from March, 2021 to September, 2021 in Akhilesh Das Gupta Institute of Technology and Management, New Delhi(Affiliated from IP University)

 

AREA OF INTEREST

Image Processing, Computer Vision, Machine Learning

 

PUBLICATIONS: 

International Journals 

[1]. Sneha Mishra, Dileep Kumar Yadav, Farah Tabassum, Divyansh Kumar, “Detection of Moving Vehicle in Foggy Environment using Google’s Firebase Platform, Turkish Online Journal of Qualitative Inquiry (TOJQI) Volume 12, Issue 6 July. 2021 : 9892-9921

(https://www.tojqi.net/index.php/journal/article/view/3518)

 [2]. Sneha Mishra, Priya Porwal, Dileep Kumar Yadav, “Data Science and AI in e-Government and Society”, Industry 4.0: Research Trends, Challenges and Future of AI in Data Science, Under Book Series : Demystifying Technologies for Computational Excellence Moving Towards Society 5.0, CRC Press, Taylor and Francis, July-2020. (Published, available online: https://www.amazon.in/Industry-4-0-Data-Science-Computational/dp/0367562855/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=1625814437&sr=8-1)

[3]. Sneha Mishra, Dileep Kumar Yadav, Object Detection under Hazzy Environment for Real Time Application CRC Press, Taylor and Francis, January-2021(Published, available online)

(https://www.routledge.com/Artificial-Intelligence-Technologies-Applications-and-Challenges/Sharma-Garg/p/book/9780367690809 )

International Conference Publication:

[1] Sneha Mishra, Dileep Kumar Yadav, “Moving Object Detection in Video Captured by Static Camera: A Survey”, International Conference on Networks and Cryptology (NetCrypt), JNU, New Delhi, 2020. (Accepted & Presented)

[2] Sneha Mishra et. al., DeepNet:  An Efficient Neural Network for Fake News Dtection using News-User Engagements. 5th International Conference on computing, communication and Security(ICCCS), 2020. Publisher: IEEE. ( Accepted & Published)

(https://www.researchgate.net/publication/347540129_DeepNet_An_Efficient_Neural_Network_for_Fake_News_Detection_using_News-User_Engagements)

 

PATENTS PUBLISHED:

[1].  Sneha Mishra et. al., Title: “DMTV Framework Classification: Using Deep and Machine Learning Framework Traffic Classification, Taking Appropriate Actions on Vehicle using IOT-based Technology”, Application No.: 202011056487, applied 25-12-2020, published on 15-01-2021, Journal No. 03/2020. (https://ipindia.gov.in/writereaddata/Portal/IPOJournal/1_4943_1/Part-1.pdf

[2]. Sneha Mishra et. al., Title: “VEP-Surveillance System: Video Surveillance System Ensuring Higher Level Privacy of People”, Application No.: 202011030090, applied 13-07-2020, published on 28-08-2020, Journal No. 35/2020.

(http://ipindia.nic.in/writereaddata/Portal/IPOJournal/1_4901_1/Part-1.pdf)

[3]. Sneha Mishra et. al., Title: “Maintain Evoting Data Confidentiality and Integrity as per MCA Guidelines using PKI Infrastructure”, Application No. 202241009509, applied 23-02-2022, published on 04-03-2022, Journal No. 09.2022.

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