Profile:
Education:
Associate Professor Dr. Anand Sharma holds a diverse and robust educational background in Computer Science and Engineering. He earned his Doctorate in Engineering from the College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Sikar, in 2016. His doctoral research focused on “Multifactor Authentication Using Quantum Cryptography for Online Banking System.” Prior to this, he completed his Master of Technology (M.Tech.) in Information Technology from ABV-Indian Institute of Information Technology & Management, Gwalior, in 2008, where he achieved a CGPA of 7.75 on a 10-point scale. Dr. Sharma also holds a Bachelor of Engineering (B.E.) in Information Technology from ITM, Gwalior, under RGPV, Bhopal, which he completed in 2004 with a percentage of 64.66%. His academic achievements are complemented by a high percentile score of 96.11 in the Graduate Aptitude Test in Engineering (GATE) in 2006.
Professional Experience:
Associate Professor Dr. Anand Sharma brings over 15 years of extensive experience in the field of Computer Science and Engineering. He has been serving as an Assistant Professor in the Department of Computer Science and Engineering at the School of Engineering & Technology, Mody University of Science & Technology, Lakshmangarh, Sikar, since October 2009. Prior to this role, Dr. Sharma held positions at Marudhar Engineering College, Bikaner, where he served as Head of the Department and Senior Lecturer, and at BIET, Sikar, as a Lecturer. His career also includes experience as a Guest Faculty at ECB, Bikaner. Dr. Sharma’s responsibilities have encompassed teaching, research, and various administrative roles, including ISO membership, research and development coordination, and guiding Ph.D. students. He has also been instrumental in organizing international conferences and has provided consultancy for industry projects.
Research Interests:
Associate Professor Dr. Anand Sharma’s research interests encompass a broad range of topics within Computer Science and Engineering. His primary focus areas include Quantum Cryptography, Information and Network Security, and Cloud Computing. Dr. Sharma is also deeply involved in studying and advancing Internet of Things (IoT) technologies, Machine Learning, Data Science, and Big Data Analysis. His research aims to address complex challenges in these fields by developing innovative solutions and enhancing security measures, with a particular emphasis on practical applications and industry relevance.
Skills:
Associate Professor Dr. Anand Sharma possesses a diverse skill set that spans multiple domains within Computer Science and Engineering. His expertise includes Quantum Cryptography, which involves developing secure communication protocols, and Information and Network Security, focusing on safeguarding digital infrastructures. Dr. Sharma is adept in Cloud Computing, optimizing data storage and processing, and has substantial experience in Internet of Things (IoT) technologies, Machine Learning, and Data Science. His skills also extend to Big Data Analysis, where he applies advanced analytical techniques to extract actionable insights. Additionally, Dr. Sharma is proficient in industry consulting, project management, and academic research, contributing to both theoretical advancements and practical applications in his field.
Awards and Honors:
Associate Professor Dr. Anand Sharma has received numerous awards and honors throughout his distinguished career. He has been recognized for his exceptional contributions to academia and industry, including twelve notable awards for his research, teaching, and professional achievements. These accolades reflect his dedication to advancing the field of Computer Science and Engineering. Dr. Sharma’s recognition spans various areas, including his innovative work in Quantum Cryptography, contributions to Information Security, and his active involvement in organizing international conferences and academic events. His awards highlight his commitment to excellence and his impact on both academic and professional communities.
Publication Top Noted:
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks
- Authors: V. Madaan, A. Roy, C. Gupta, P. Agrawal, A. Sharma, C. Bologa, R. Prodan
- Journal: New Generation Computing
- Year: 2021
- Pages: 1-15
- Citations: 82
Improve Performance of Extract, Transform and Load (ETL) in Data Warehouse
- Authors: V. Gour, S.S. Sarangdevot, G.S. Tanwar, A. Sharma
- Journal: International Journal on Computer Science and Engineering
- Year: 2010
- Volume: 2
- Issue: 3
- Pages: 786-789
- Citations: 69
Quantum Cryptography for Internet of Things Security
- Authors: A.P. Bhatt, A. Sharma
- Journal: Journal of Electronic Science and Technology
- Year: 2019
- Volume: 17
- Issue: 3
- Pages: 213-220
- Citations: 58
Malware Detection & Classification Using Machine Learning
- Authors: S. Choudhary, A. Sharma
- Conference: 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)
- Year: 2020
- Citations: 38
Visual Cryptography Improvises the Security of Tongue as a Biometric in Banking System
- Authors: S. Suryadevara, R. Naaz, S. Kapoor, A. Sharma
- Conference: 2011 2nd International Conference on Computer and Communication Technology (ICCCT)
- Year: 2011
- Citations: 38
Performance Analysis of Face Detection by Using Viola-Jones Algorithm
- Authors: J. Kaur, A. Sharma
- Journal: International Journal of Computational Intelligence Research
- Year: 2017
- Volume: 13
- Issue: 5
- Pages: 707-717
- Citations: 32