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Advancing Innovation Through AI and Machine Learning Algorithms
Advancing Innovation Through AI and Machine Learning Algorithms
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ISBN No.: 9781041164272
Pages: 623
Year: 202510
Format: Trade Paper
Price: $ 100.03
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

Dr. Udara Yedukondalu Principal MVR College of Engineering and Technology, Paritala, Vijayawada Dr. Udara Yedukondalu, serving as the Principal of MVR College of Engineering and Technology, Paritala, Vijayawada, combines academic leadership with a strong research background. With 22 years of teaching experience, 30+ journal publications, 5 patents, and 1 copyright, he is dedicated to advancing innovation in VLSI, nano-electronics, and integrated circuits. His commitment to holistic education aligns with Dr. A.P.J.


Abdul Kalam's vision, fostering creativity, purpose-driven learning, and student-centered growth. Under his guidance, MVR College emphasizes not only academic excellence but also the overall personality development and employability of rural youth. Through ICMVRCET - 2025, he aims to provide a global platform for emerging technologies using AI-ML algorithms. Dr. V Vijayasri Bolisetty M.E., Ph.D.


Associate Professor, Department of ECE Aditya University, Surampalem, Kakinada Dr. V Vijayasri Bolisetty is an accomplished academician with over 18 years of experience in teaching, research, and academic leadership in the field of Electronics and Communication Engineering. She currently serves as an Associate Professor at Aditya University, where she actively contributes to research development, technical education, and student mentoring. Her academic background includes an M.E. and a Ph.D. in Electronics and Communication Engineering, with specialization in Signal Processing.


Dr. Vijayasri has contributed to numerous scholarly publications and technical initiatives that bridge academic research with real-world applications. As an editorial board member of ICMVR 2025, Dr. V Vijayasri Bolisetty key role in maintaining the scientific quality of the conference through rigorous peer review, topic curation, and academic oversight. Her areas of interest align with the conference themes, particularly in smart systems, sustainable electronics, and advanced computational techniques. She is committed to fostering innovation, collaboration, and academic excellence in the global research community.


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