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Hindi (India)

Shyama Prasad Mukherji College for Women

University Of Delhi

श्यामा प्रसाद मुखर्जी महिला महाविद्यालय

दिल्ली विश्वविद्यालय
PERMANENT FACULTY
Dr. Jaya Gera
Dr. Akanksha Bansal Chopra (Teacher In-charge)
Dr. Anuradha Singhal
Mansi Sood
Sonia Kumari
Dr. Manish Kumar Singh
Seema Rani
Pratibha Yadav
Dr. Shweta Tyagi
Savita Devi
Luvkush Gupta
AD-HOC FACULTY
Geeta Arneja
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Basic Details

Full Name Dr. Akanksha Bansal Chopra
Department Computer Science
Email akanksha@spm.du.ac.in
Address Shalimar Bagh, New Delhi
Resume View Resume
Profile Picture

Educational Details

Undergraduate Degree: B.Sc(Hons) Statistics

Undergraduate University: Sri Venkateswara College, University of Delhi

Undergraduate Year: 2005

Postgraduate Degree: MCA

Postgraduate University: Guru Gobind Singh Indraprastha University

Postgraduate Year: 2008

PhD Degree: Computer Science

PhD University: University of Delhi

PhD Year: 2022

Other Qualifications: M.Phil in Computer Science; UGC-NET

Teaching Experience

Designation: Assistant Professor

Institution Name: Shyama Prasad Mukherji College for Women

Years of Experience: 16

Subjects Taught: Computer Graphics, Artificial Intelligence, Computer Architecture, DBMS

Assigned Courses: B.Sc(Hons) Computer Science

Key Achievements: 1. Project: Developed Time table Management Software for Shyama Prasad Mukherji College (University of Delhi) 2.Membership: Lifetime Professional member of Institute of Scholars.3.Award: Young Researcher Award 2021 for research paper with title “Balanced Accuracy of Collaborative Recommender Systems”

Research Interests

  1. Information Security/Attacks/Recommender Systems
  2. Artificial Intelligence
  3. Deep Neural Networks

Publications

Journal Publications:
  1. Akanksha Bansal Chopra, Monika Arora, & Lavkush Gupta. (2023). A COMPARATIVE STUDY ON SWARM INTELLIGENCE ALGORITHMS. International Education and Research Journal (IERJ), 9(5), pp. 1 - 4. E-ISSN No : 2454-991 Retrieved from http://ierj.in/journal/index.php/ierj/article/view/2753
  2. Dixit, V. S., & Chopra, A. B. (2023). Push and nuke attacks detection using DNN-HHO algorithm. International Journal of Information and Computer Security, 20(3-4), 248-268. DOI: 10.1504/IJICS.2022.10040154 (Publisher: Inderscience; Index: SCOPUS; SNIP: 0.532; ISSN No. 1744-1765)
  3. Chopra, A.B. and Dixit, V.S. (2023). “Detecting biased ratings in Collaborative Recommender Systems using Opinion Mining”. Journal of Intelligent Systems, 31(1), 1-13. (Publisher: Walter de Gruyter; ISSN: 2191-026X; Index: SCOPUS; ESCI; Impact Score: 2.16; SNIP: 0.732)
  4. Ara, Zinat and Chopra, A.B. (2022) “Justice Theory Model for an Ideal State of Plato and Aristotle”. Contemporary Social Sciences. Vol. 31, No. 3, pp. 1 -12. (Peer Reviewed, ISSN 0302-9298)
  5. Chopra, A. B., & Dixit, V. S. (2022). An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system. Journal of Intelligent Systems, 31(1), 1133-1149 (Publisher: Walter de Gruyter; ISSN: 2191-026X; Index: SCOPUS; ESCI; Impact Score: 2.16; SNIP: 0.732)
  6. Dixit, V.S. and Chopra, A.B. (2021). “Opinion mining-based secured Collaborative Recommender System”. International Journal of Computational Intelligence Studies, Vol. 10, No. 4, pp.239–257. (Publisher: Inderscience; Index: UGC CARE List 1; ISSN No. 1755-4977)
  7. Ara, Zinat and Chopra, A.B. (2019). “An Empirical Study on the idea of an Ideal state by Plato and Aristotle”. International Journal of Research and analytical Reviews. Vol. 6, Issue 2, pp. 765 – 772. (Peer Reviewed, E-ISSN 2348-1269, P-ISSN 2349-5138)
Conference Papers:
  1. Chopra A.B., Dixit V.S. (2020). Balanced Accuracy of Collaborative Recommender System. In: ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1270. Springer, Singapore. https://doi.org/10.1007/978-981-15-8289-9_32 (ISBN: 978-981-15-8289-9) (Publisher: Springer; ISSN: 2194-5357; Index: SCOPUS; SNIP: 0.428) (Presented)
  2. Chopra A.B., Dixit V.S. (2019). Performance Analysis of Collaborative Recommender System: A Heuristic Approach. In: Information, Communication and Computing Technology. ICICCT 2019. Communications in Computer and Information Science, vol 1025. Springer, Singapore. https://doi.org/10.1007 /978-981-15-1384-8_15 (ISBN:978-981-15-1384-8)(Publisher: Springer; ISSN: 1865-0929; Index: SCOPUS; SNIP: 0.32) (Presented)
  3. Arora, M., Chopra, A.B., Dixit, V.S. (2019). An Approach to Secure Collaborative Recommender System Using Artificial Intelligence, Deep Learning, and Blockchain. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, Vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_51 (ISBN: 978-981-13-8618-3) (Publisher: Springer; ISSN: 2194-5357; Index: SCOPUS; SNIP: 0.428) (Presented)
Books:
  1. Authored book “Detection of Shilling Attacks in Recommender Systems” (ISBN: 978-93-5747-127-5)