Associate Professor of Adani University, India
Dr. Ritika Vivek Ladha is an esteemed academic and researcher currently serving as an Assistant Professor in the Department of Information and Communication Technology at Adani University. She completed her Ph.D. in Information and Communication Technology from Nirma University in 2022, following a Master’s in Information and Network Security and a Bachelor’s in Computer Science and Engineering.
Professional profile
Education📚
Dr. Ritika Vivek Ladha earned her Ph.D. in Information and Communication Technology from Nirma University in 2022. She completed her M.Tech. in Information and Network Security at Nirma University in 2015, with a CGPA of 8.42. Her undergraduate studies were conducted at A.D Patel Institute of Technology, where she obtained a B.E. in Computer Science and Engineering in 2013, achieving a CPI of 8.14.
Professional Experience🏛️
Dr. Ladha’s dedication to her field is further evidenced by her various professional recognitions and roles. She has received certifications in Cyber Security from IBM and is a member of the ACM. Her role as the Membership Chair for the Adani ACM-W Student Chapter and her involvement in conferences and professional organizations underscore her active engagement with the academic and research community.
Research Interest🌐
Dr. Ladha’s research interests span several cutting-edge areas, including deep learning, machine learning, recommender systems, network security, intrusion detection systems, and the Internet of Things (IoT). Her work has significantly contributed to advancing these fields, addressing key issues such as cybersecurity threats, feature selection, and machine learning-based intrusion detection.
Her contributions are well-documented through her publications in prestigious journals and conferences. Notable papers include reviews on phishing attack risk assessment and advancements in intrusion detection systems. Dr. Ladha’s work has garnered substantial recognition, with a Google Scholar citation count of 1,229, an h-index of 11, and an i10-index of 11, reflecting the impactful nature of her research.
Awards and Honors🏆
Dr. Ladha has received notable recognitions such as ACM Professional Membership, certification in Cyber Security from IBM, and participation in significant conferences. These achievements highlight her commitment to staying at the forefront of her field and her active engagement with professional communities.
Achievements🏅
Dr. Ladha’s achievements include earning a Certificate in Developing Enterprise Applications from NIIT in 2012 and becoming a Red Hat Certified System Administrator in 2018. In 2020, she was recognized for having articles in the 25 most downloaded papers of the Swarm and Evolutionary Journal. She is a member of ACM (2023) and has been endorsed by IBM with a Skill Build Course on Cyber Security Fundamentals and Artificial Intelligence in 2024. Additionally, she has been actively involved in academic and professional communities, including serving as the Membership Chair of the Adani ACM-W Student Chapter in 2023.
Publications top noted📜
- “A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges”
Authors: A. Thakkar, R. Lohiya
Journal: Archives of Computational Methods in Engineering
Year: 2021
Citations: 📚 259
- “A Review of the Advancement in Intrusion Detection Datasets”
Authors: A. Thakkar, R. Lohiya
Journal: Procedia Computer Science
Year: 2020
Citations: 📚 228
- “A Survey on Intrusion Detection System: Feature Selection, Model, Performance Measures, Application Perspective, Challenges, and Future Research Directions”
Authors: A. Thakkar, R. Lohiya
Journal: Artificial Intelligence Review
Year: 2022
Citations: 📚 185
- “Attack Classification Using Feature Selection Techniques: A Comparative Study”
Authors: A. Thakkar, R. Lohiya
Journal: Journal of Ambient Intelligence and Humanized Computing
Year: 2021
Citations: 📚 128
- “Fusion of Statistical Importance for Feature Selection in Deep Neural Network-Based Intrusion Detection System”
Authors: A. Thakkar, R. Lohiya
Journal: Information Fusion
Year: 2023
Citations: 📚 114
- “Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review”
Authors: R. Lohiya, A. Thakkar
Journal: IEEE Internet of Things Journal
Year: 2020
Citations: 📚 84
- “Role of Swarm and Evolutionary Algorithms for Intrusion Detection System: A Survey”
Authors: A. Thakkar, R. Lohiya
Journal: Swarm and Evolutionary Computation
Year: 2020
Citations: 📚 81
- “Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network”
Authors: A. Thakkar, R. Lohiya
Journal: IEEE Internet of Things Journal
Year: 2023
Citations: 📚 54
- “Intrusion Detection Using Deep Neural Network with Anti-Rectifier Layer”
Authors: R. Lohiya, A. Thakkar
Journal: Applied Soft Computing and Communication Networks: Proceedings of ACN 2020
Year: 2021
Citations: 📚 36
- “Analyzing Fusion of Regularization Techniques in the Deep Learning-Based Intrusion Detection System”
Authors: A. Thakkar, R. Lohiya
Journal: International Journal of Intelligent Systems
Year: 2021
Citations: 📚 28
- “Survey on Mobile Forensics”
Authors: R. Lohiya, P. John, P. Shah
Journal: International Journal of Computer Applications
Year: 2015
Citations: 📚 28
- “A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System”
Authors: A. Thakkar, R. Lohiya
Journal: Archives of Computational Methods in Engineering
Year: 2023
Citations: 📚 10
