Under VTU, Approved by AICTE, UGC & GoK. Reaccredited by NAAC with 'A+' Grade, ISO 9001:2015 Certified. Accredited by HLACT, Texas, USA (Internationally) and by NBA (CSE, ECE, ISE)

Faculty

Faculty Details

Faculty Name

Dr. Smita Agrawal

Brief Profile

Dr. Smita Agrawal is a dedicated academician and researcher with more than a decade of experience in engineering education. She specializes in Artificial Intelligence and Machine Learning, backed by a strong foundation in Electronics and Communication Engineering. Her research interests include Artificial Intelligence, Machine Learning, Internet of Things (IoT), Cybersecurity, Image Encryption, Chaos Theory, and Intelligent Computing, with a focus on developing innovative and secure solutions for real-world applications.

She has published research in reputed international journals and conferences and actively contributes to research, innovation, curriculum development, and outcome-based education. Passionate about teaching and mentoring, Dr. Agrawal believes in fostering curiosity, critical thinking, and innovation through experiential learning and interdisciplinary research. She is committed to empowering students with strong technical expertise, problem-solving abilities, and ethical values, enabling them to excel in the rapidly evolving field of Artificial Intelligence and emerging technologies while making meaningful contributions to society.

Area of Interest:
Artificial Intelligence, Machine Learning, Internet of Things (IoT), Cybersecurity, Image Encryption, Chaos Theory, and Intelligent Computing

Professional Memberships
• IFERP Member
• IAENG Member

Reviewer Activities:
• Reviewer, SN Computer Science (Springer Nature, USA), 2025–2026.
• Reviewer, ERATICS 2026 (International Symposium on AI Frontiers 2.0).
•Technical Program Committee (TPC) Member, International Conference on Applied Artificial Intelligence (2AI 2026).
>> Served as Session Chair for multiple national and international conferences, facilitating technical sessions, research presentations, and scholarly discussions.

Designation

Associate Professor

Department

Artificial Intelligence & Machine Learning

Date of Birth

30-September-1983

Qualification

B. TECH, M. TECH, PhD

Date of Joining

09-July-2026

Specialization

Experience

10 Years

Awards

Certifications:
NPTEL: Programming in Python |Demystifying Networking | Ethical Hacking | Computer Network and Internet Protocol | Cryptography and Network Security.
Simplilearn: Cyber Security Expert.
Coursera:Introduction to Artificial Intelligence (AI) | Cybersecurity Threat Vectors and Mitigation.
Participated in multiple Faculty Development Programmes (FDPs), workshops, and training programmes in the areas of Artificial Intelligence, Data Science, Cybersecurity, Network Security, and Outcome-Based Education.