Dr. Meghana R

Assistant Professor

Dr. Meghana R. Solanki is an Assistant Professor in the Cyber Security Computer Science & Engineering at Dayananda Sagar University. She holds a Ph.D. in Computer Engineering with specialization in Network Forensics, DDoS Attack Analysis, and Cybersecurity. She has over 15 years of academic, research, and industry experience in engineering education, research, and software industry domains. Her research interests primarily focus on Network Forensics, Intrusion Detection Systems, Artificial Intelligence, Machine Learning, Deep Learning, Cybersecurity, and DDoS Attack Investigation.

Primarily, her work revolves around intelligent attack pattern discovery, forensic evidence collection, and analysis of distributed denial-of-service (DDoS) attacks using hybrid deep learning and reinforcement learning approaches. Her doctoral research titled “Attack Pattern Discovery, Analysis for Evidence Collection and Network Forensics Investigation” focuses on advanced forensic frameworks for protocol and application-level attack analysis. She has actively contributed to research involving Explainable Artificial Intelligence (XAI), Deep Q-Networks, GRU-LSTM based attack analysis, and intelligent cybersecurity systems.

Her areas of expertise include Network Forensics, Cybersecurity Analytics, Intrusion Detection Systems, Artificial Intelligence, Deep Learning, Data Mining, Python Programming, Information Security, and Machine Learning based cyber defense systems. She is also interested in exploring advanced AI-driven approaches for digital forensics, cyber threat intelligence, and secure computing infrastructures.

Research Interests

• Network Forensics and Cybersecurity
• DDoS Attack Detection and Analysis
• Artificial Intelligence and Machine Learning
• Deep Learning and Explainable AI (XAI)
• Intrusion Detection Systems
• Data Mining and Pattern Analysis
• Computer Networks and Information Security
• Python Programming and Data Science
• Reinforcement Learning for Cyber Defense
• Digital Forensics and Evidence Collection

Professional Highlights

• Published 20 research papers in reputed international journals and IEEE conferences
• Received Best Paper Award in IEEE International Conference for research in Network Forensics and Explainable AI
• Worked in the domain of DDoS attack analysis, forensic investigation, and intelligent cybersecurity systems
• Conducted research on hybrid deep learning and reinforcement learning models for cyber attack detection
• Served as Session Chair and Reviewer in IEEE international conferences
• Worked as EduSkills SPOC and MOOC Instructor at university level
• More than 15 years of academic, research, and industry experience
• Experience in teaching UG and PG subjects including Artificial Intelligence, Deep Learning, Python, Cybersecurity, and Data Science

Vision and Goals

Dr. Meghana R. Solanki aspires to contribute towards advanced research in Cybersecurity, Network Forensics, and Artificial Intelligence. Her vision is to develop intelligent and scalable forensic frameworks for cyber attack investigation and digital evidence analysis while contributing to impactful research in emerging domains of computer science and cybersecurity. She also aims to mentor students and researchers in developing innovative AI-driven solutions for modern cyber defense systems.

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