Machine Learning-Based Artificial Intelligence: Theory and Applications

Overview Tab About: Dr. Suneetha E is an accomplished academician with over 25 years of experience in the field of Electronics and Communication Engineering (ECE). She currently serves as an Associate Professor, with extensive teaching, research, and administrative experience across reputed autonomous engineering institutions. She holds a Ph.D. in Image Processing (AI Sensors), along with an M.Tech in Systems & Signal Processing. Her expertise spans areas such as VLSI design, image processing, AI applications, and biomedical instrumentation.Throughout her career, she has taken on significant responsibilities including IQAC Coordinator, NAAC/NBA accreditation roles, Exam Branch In-charge, and Department-level leadership positions (including HOD). She has actively contributed to academic development through organizing conferences, hackathons, FDPs, and student development programs.Her research profile includes Scopus-indexed publications, multiple patent filings, and recognition with a Best Women Researcher Award. She is also a member of professional bodies like IETE, ISTE, and SSRN.Overall, she is a dedicated educator and researcher with strong contributions in teaching, institutional development, and innovation-driven academic activities.

Mr. M. N. V. V. K. Pavan Kumar Kaza is a Research Scholar at Amrita Vishwa Vidyapeetham, Amaravati, located at Kuragallu, Andhra Pradesh, India. His research interests are primarily focused on Cybersecurity, Internet of Things (IoT), Machine Learning, Deep Learning, and Network Intrusion Detection. His doctoral research focuses on the intrusion detection of IoT network data, with an emphasis on developing intelligent and robust approaches for identifying malicious activities and cyberattacks in IoT environments. His research explores the application of advanced machine learning and deep learning techniques for analyzing network traffic, detecting anomalous behavior, addressing class imbalance, and improving the accuracy and reliability of intrusion detection systems. His broader research interests include IoT security, Network Security, Intrusion Detection Systems (IDS), Anomaly Detection, Artificial Intelligence, Machine Learning, Deep Learning, and Secure Smart Environments. Through his research, he aims to contribute effective AI-driven security solutions capable of protecting increasingly connected IoT networks against evolving cyber threats.

Name: Dr.M.Usha Rani Qualification: B.Tech(ECE),. M.Tech(ECE),( Ph.D) Professional Experience: 11 Years Reg No: 1-2291879664 Email: m.usharani@aceec.ac.in Phone: 9000618632 Overview About Dr.M.Usha Rani is a highly qualified professional with an impressive 11 years of teaching experience in the field of Electronics and communication Engineering. Over the years, she has made significant contributions to both undergraduate and postgraduate education, particularly in specialized areas such as VLSI and Digital Electronics. Her expertise extends beyond the classroom, as she has been actively involved in research focusing on practical implementation and application of her findings. Her work bridges the gap between theoretical concepts and real-world solutions, enriching both her teaching and the academic community. Usha’s long-standing academic journey reflects her deep commitment to education, her mastery of subject matter, and her ability to inspire students and colleagues alike with her insights and experience. Educational Details • Ph.D from Osmania University • M.Tech (ECE),NIT Warangal,2014 • B.Tech (ECE),ACE Engineering College,2012 • Intermediate-Narayana Junior College,2008 • SSC– Krishnaveni Talent School,March 2006

Dr S Swathi Rao Assistant Professor Ellenki College of engineering and technology