Ms. Priya Arora
Assistant Professor I

-
Qualification
B.Tech (IT), M. Tech (CSE), PhD (Pursuing)
-
College/University
B. tech -College of Engineering Roorkee, Uttarakhand
M.Tech- Graphic Era University, Dehradun, Uttarakhand
Pursuing a PhD,.- Amity University, Gurugram, Haryana
Ms. Priya Arora serves as an Assistant Professor in the Department of Computer Science and Engineering, bringing over seven years of experience in teaching, industry, and research.
Her domain of expertise includes Cyber Security, Artificial Intelligence, and Machine Learning. She has guided numerous BTech and MTech research projects and is actively engaged in academic activities, organizing and participating in various workshops, conferences, and seminars.
Ms. Priya has published several research papers in both national and international conferences and journals, holds multiple patents, and is a professional member of the Association for Computing Machinery (ACM).
Having rich experience of more than 8 years in teaching, coaching and mentoring students in various subjects of computer science engineering and 2 years in running Start-up and leading it from technical as well as Operational front. Acted as Head of Department and managed CSE department functionality from management as well as academic point of view for 02 years. Led the Training and placement cell and delivered 100% placement to students over various organizations. Led the multiple cultural and academic events. Supported in strengthening the internal theoretical and practical examination system.
Education:
- B. tech (IT)-College of Engineering Roorkee, Uttarakhand
- M.Tech (CSE)- Graphic Era University, Dehradun, Uttarakhand
- Ph. D(CSE)- Amity University, Gurugram, Haryana
Research:
- Publication
- Local Binary Pattern and Principal Component Analysis Based Diagnosis of Alzheimer’s Disease, 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA2024), published in Springer 2024.
- A comparative analysis of real-time facial emotion recognition algorithms, 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA2024), published in Springer 2024.
- Malware Analysis Tools & Techniques: A Survey, International Conference on Advanced Computing Techniques in Engineering & Technology, accepted, published by Springer 2024.
- Ransomware Detection using Machine Learning Techniques, International Conference on Advancement of Intelligent Computational Methods, and Technologies, accepted, to be published by Taylor and Francis, 2023.
- Advanced ADFGVX Cipher: Random 9-character product cipher, RIET-IJSET, Vol 4, No.2, Dec 2017.
- Retiming technique for clock period minimization using shortest path algorithms, International Conference on Computing, Communication and Automation, IEEE, 2016.
- Research Interests Malware Analysis, Machine Learning, Artificial Intelligence, Cyber Security, Software Engineering
- Case Studies
- Published a patent titled “A secure and reliable payment system”, Application No :202311030704A, June 2023.
- Published a patent titled “AI-Grade master”, Application No: 202311066024, October 2023.
- Books/ Book Chapters N/A
- Conferences
- Local Binary Pattern and Principal Component Analysis Based Diagnosis of Alzheimer’s Disease, 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA2024), published in Springer 2024.
- A comparative analysis of real-time facial emotion recognition algorithms, 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA2024), published in Springer 2024.
- Malware Analysis Tools & Techniques: A Survey, International Conference on Advanced Computing Techniques in Engineering & Technology, published in Springer 2024.
- Ransomware Detection using Machine Learning Techniques, International Conference on Advancement of Intelligent Computational Methods, and Technologies, published by Taylor and Francis, 2023.
- Retiming technique for clock period minimization using shortest path algorithms, International Conference on Computing, Communication and Automation, IEEE, 2016.
- Featured in N/A
Teaching:
- Courses/Programmes : BTech -CSE, CSE-AIML, CS, Data Science
- Teaching interests : Computer Networks, C Programming, Data Structures, Artificial Intelligence, Cyber Security, Cryptography, Design & Analysis of Algorithms
Practice:
- Work Experience 8.5 years
- MDPs/FDPs 10
- Corporate Mentoring N/A
Service:
- Board Memberships N/A
- Editorial Positions N/A
- Reviewer Experience: 2
Others:
- Professional Service N/A
- Professional Memberships:
- Member of Women in Bigdata
- Member of ACM
- Member of International Computer Science & Engineering Society