Anu Yadav
Assistant Professor
Bharati Vidyapeeth’s College of Engineering
Email Id: anu.yadav@bharatividyapeeth.edu
LinkedIn: https://www.linkedin.com/in/anu-yadav-43563172/
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Education
Ph.D. Jan-2020- Pursuing NorthCap University, Gurugram
M.Tech (Information System) 2015-17 Netaji Subhas Institute of Technology , New Delhi
CDAC(PGDST) 2012-13 CDAC Bangalore
B.Tech (Computer Science) 2008-12 Govt. Womens Engineering College Ajmer, RTU
Teaching experience
As ASSTT. PROFFESSOR (NSUT IN CSE DEPATRMENT) AUG-2018 to APRIL-2020 AND JAN-2022 - DEC 2022.
Industry Experience
As Developer (Web Designing, Web App, Customized CRM) in STEP1 E BUSINESSES (P) LTD New Delhi from AUG 2013 to July 2015.
Courses AND Workshops
One- Week Atal FDP on “Cross-Modality Innovation: Generative AI in Language, Image Intelligence, and Medical Advancements” form 9th -14th Dec 2024.
Organize a Five-Day International workshop on AI/ML, IOT, Cloude Computing and Cyber Security, BVCOE, 14th -18th Oct, 2024
One-week FDP on the Importance of Accreditation BVCOE, 27th - 31st May,2024
One-Week FDP on High-Performance Computing (CDAC, Oct 2023)
One-Week FDP on Python and Data Analysis (Ramanujan College, Aug 2023)
One-Week FDP on Role of Computational Intelligence in Society (BVCOE, May 2023)
International Workshop on Statistical Analysis Using R Programming (Scholar Gate Research Institute, April 2023)
Subject Expertise
Computer Programing.
Computer Graphics.
Design Patterns.
Design and Analysis of Algorithms
Theory Of Computation.
Distributed System.
Skills
Two years of experience in software development.
Experience in language like core java , advance java, MATLAB,PYTHAN,PHP ,C++,CSS, HTML, JavaScript, JSP.
Experience in frontend development and backend development.
Good knowledge in MYSQL, Advance DBMS, basic knowledge of Oracle.
Good knowledge in Concepts of Rough Set Theory.
Good knowledge in Concepts of Machine learning
Worked on free tools for machine learning.
RESEARCH PUBLICATIONS
1. Deep Learning Integration in Teletherapy for Modernizing Mental Health Support.
Published in 2024 2nd World Conference on Communication & Computing (WCONF) (pp. 1-6). IEEE.
DOI: 10.1109/WCONF61366.2024.10692232
2. A Comparative Study of Elliptic Curve and Hyperelliptic Curve Cryptography Methods and an Overview of Their Applications
Published in 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS)
DOI: 10.1109/ISCS61804.2024.10581015
3. Image Encryption Using Hyper Elliptic Curve and Phase Truncate Transformation
Published in 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)
DOI: 10.1109/CCiCT56684.2022.00106
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