Dr. BADDAM ANIL KUMAR | Artificial Intelligence | Research Innovation Award

VIT-AP UNIVERSITY, ANDHRA PRADESH- India

Author Profile

Early Academic Pursuits

Mr. B. Anil Kumar began his academic journey with a Bachelor’s degree in Electronics and Communications Engineering from JNTU College of Engineering, Hyderabad, Telangana. This foundational education provided him with the necessary skills and knowledge in electronics and communication systems, laying the groundwork for his future pursuits in advanced studies.

Professional Endeavors

Building on his undergraduate education, Mr. Anil Kumar pursued and successfully completed a Master’s degree in VLSI System Design from Aurora College of Engineering, JNTUH, Hyderabad, Telangana. This specialization equipped him with expertise in Very Large Scale Integration (VLSI) technologies, enhancing his proficiency in designing complex integrated circuits and systems.

Currently, Mr. Anil Kumar is engaged in pursuing a Ph.D. in the School of Electronics Engineering (SENSE) at VIT-AP University in Amaravati, AP, India. His doctoral research focuses on the intersection of Image Processing, Machine Learning, and Deep Learning, reflecting his commitment to advancing the field of electronics and computational intelligence.

Contributions and Research Focus

Mr. Anil Kumar’s research interests primarily revolve around Image Processing, Machine Learning, and Deep Learning. These areas represent critical domains within the broader spectrum of artificial intelligence and computational intelligence, aimed at developing algorithms and systems that can analyze, interpret, and extract meaningful information from digital images. His contributions in these fields are expected to contribute significantly to applications ranging from healthcare diagnostics to industrial automation and beyond.

Accolades and Recognition

Mr. Anil Kumar has garnered recognition for his scholarly contributions and expertise in electronics and computational intelligence. His role as a reviewer for well-known reputed journals underscores his standing within the academic community, where his insights and evaluations help shape the discourse and quality of research publications.

Impact and Influence

Through his academic pursuits and professional endeavors, Mr. Anil Kumar has already begun to make a notable impact on the fields of electronics engineering and computational intelligence. His research outputs and contributions are anticipated to influence the development of advanced technologies and methodologies in image processing and machine learning, thereby shaping future innovations in these domains.

Legacy and Future Contributions

Looking ahead, Mr. Anil Kumar’s legacy is poised to encompass significant advancements in image processing and machine learning technologies. His future contributions are expected to extend beyond academic research to practical applications, potentially impacting various industries and sectors. By continuing to explore new avenues in computational intelligence and fostering interdisciplinary collaborations, Mr. Anil Kumar aims to leave a lasting imprint on the field, advancing both theoretical knowledge and practical implementations in electronics engineering.

Citations

A total of 32 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         32
  • h-index           2
  • i10-index        1

Notable Publications 

Implementation of 64-Bits Radix – 8 IFFT for Computation Speed by IDIF using Verilog

B.Anil Kumar, M. Naveen Reddy, Vamshi Kollipara, B. Rajesh,International Journal of Recent Technology and Engineering (IJRTE)

Caffe-MobileNetV2 based Tomato Leaf Disease Detection

B.Anil Kumar, Mohan Bansal, Rajeev Sharma
2023 3rd International conference on Artificial Intelligence and Signal …

Hardware Implementation of 64-Bits Data by Radix-8 FFT/IFFT for High Speed Applications

B.Anil Kumar, Mohan Bansal
2022 8th International Conference on Signal Processing and Communication …
BADDAM ANIL KUMAR | Artificial Intelligence | Research Innovation Award