SANTHOSH KUMAR BUDDEPU | Engineering | Best Researcher Award

Mr. SANTHOSH KUMAR BUDDEPU | Engineering | Best Researcher Award

AMRITA VISHWA VIDYAPEETHAM, AMARAVATI -India

Author Profile

📚 Early Academic Pursuits

Santhosh Kumar Buddepu’s journey in academia began with a strong foundation in the sciences. His early academic achievements are marked by exceptional performance, starting with his 10th standard education at ZPHS, Siripuram, where he secured a First Class with an impressive 92.8%. This solidified his path towards higher education in the technical field. Continuing his pursuit of excellence, Santhosh completed his Intermediate education with a First Class (94.8%) from Sri Chaitanya Junior College in 2006, specializing in Mathematics, Physics, and Chemistry (MPC).Santhosh’s commitment to the field of Electronics and Communication Engineering became evident during his undergraduate studies at JNTUK, Kakinada. He earned a B.Tech degree with Distinction, achieving a commendable 72.88%. His academic prowess did not go unnoticed, and he pursued his M.Tech in Digital Electronics and Communication Systems (DECS) at JNTUK, Kakinada, where he graduated with Distinction (80.8%) in 2013.Santhosh’s thirst for knowledge and his passion for research led him to pursue a Ph.D. in Signal and Image Processing at the prestigious National Institute of Technology (NIT), Rourkela, Odisha. His doctoral research focused on the application of machine learning and deep learning techniques for subsurface object detection and classification, showcasing his dedication to advancing the field.

🧑‍🏫 Professional Endeavors

Santhosh Kumar Buddepu’s professional journey is characterized by his commitment to teaching and research. With over six years of teaching experience, he has contributed significantly to the academic growth of several institutions in Andhra Pradesh. His career as an Assistant Professor began at Sri Venkateswara College of Engineering & Technology in May 2010, where he served until November 2011. He then joined Shri Vishnu Engineering College for Women, where he continued to impart knowledge and mentor students from December 2013 to May 2015.Santhosh’s dedication to education and his desire to foster innovation in engineering students led him to join Lakireddy Bali Reddy College of Engineering, where he served as an Assistant Professor from June 2015 to October 2016. His expertise in signal and image processing, combined with his ability to inspire students, made him a valuable asset to these institutions. His final teaching tenure was at GMR Institute of Technology, where he contributed from November 2016 to July 2019.

🛠️ Contributions and Research Focus

Santhosh Kumar Buddepu’s research interests are primarily centered on Signal and Image Processing, with a particular focus on Machine and Deep Intelligence. His Ph.D. research, titled “Subsurface Object Detection and Classification using Machine/Deep Intelligence Algorithms,” is a testament to his expertise in this field. The research aimed to enhance the accuracy and efficiency of subsurface object detection, with a specific focus on improving ground-penetrating radar (GPR) data interpretation.Santhosh’s work involved the development and implementation of deep learning-based algorithms for clutter removal and feature extraction in GPR data. These advancements significantly improved the clarity and quality of GPR scans, making it easier to detect and classify subsurface objects, including landmines and unexploded ordnance (UXO). His research demonstrated strong potential for practical applications in areas such as landmine detection, contributing to safer environments in affected regions.In addition to his Ph.D. research, Santhosh has undertaken various academic projects throughout his career. His M.Tech project, “A Joint Encryption and Watermarking System for Verifying the Reliability of Images,” combined chaotic mapping, encryption algorithms, and watermarking techniques to protect the integrity of images. His B.Tech project, “FPGA Based Design and Implementation of Non-Sinusoidal Reactive Power,” showcased his expertise in FPGA design, highlighting his skills in synthesis, mapping, and functional verification.

🏆 Accolades and Recognition

Santhosh Kumar Buddepu’s dedication to research and teaching has earned him recognition in the academic community. His doctoral research at NIT Rourkela, focusing on subsurface object detection, has been well-received for its innovative approach and practical applications. His contributions to the field of Signal and Image Processing have solidified his reputation as a knowledgeable and passionate educator and researcher.

🌍 Impact and Influence

Santhosh’s work has had a significant impact on the field of subsurface object detection, particularly in the area of landmine and UXO detection. The deep learning algorithms he developed have the potential to save lives by improving the accuracy and reliability of GPR data interpretation. His research has paved the way for further advancements in this critical field, influencing future studies and applications in both academia and industry.In addition to his research contributions, Santhosh has influenced countless students through his teaching. His ability to simplify complex concepts and foster a passion for learning has left a lasting impact on his students, many of whom have gone on to pursue successful careers in engineering and technology.

🏅 Legacy and Future Contributions

As Santhosh Kumar Buddepu continues his academic and research journey, his legacy as a dedicated educator and innovative researcher is firmly established. His work in Signal and Image Processing, particularly in the application of machine and deep learning techniques, will continue to influence future research and practical applications in various fields.Looking ahead, Santhosh aims to further explore the intersection of artificial intelligence and engineering, with a focus on developing cutting-edge technologies that address real-world challenges. His commitment to advancing knowledge and his passion for teaching will undoubtedly lead to further contributions to the academic community and beyond.In conclusion, Santhosh Kumar Buddepu’s career is a testament to his dedication, innovation, and impact in the fields of engineering and education. His work continues to inspire and influence, leaving a lasting legacy for future generations of engineers and researchers.

Citations

A total of 8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         8
  • h-index           5
  • i10-index        2

Notable Publications

  • Title: Enhancing Subsurface Exploration: A Comprehensive Review of Advanced Clutter Removal Techniques for Ground Penetrating Radar Imaging
    Authors: B.S. Kumar, S. Baraha, A.K. Sahoo, S. Maiti
    Journal: Measurement: Journal of the International Measurement Confederation
    Year: 2025.
  • Title: Integrated Feature Investigation and Classification Methods for Discrimination of Subsurface Objects in GPR Imagery
    Authors: B.S. Kumar, A.K. Sahoo, S. Maiti
    Journal: IEEE Sensors Journal
    Year: 2024.
  • Title: Clutter and Random Noise Elimination Based on Eigen Images and Curvelet Transform
    Authors: B.S. Kumar, A.K. Sahoo, S. Maiti
    Conference: 3rd International Conference on Range Technology, ICORT 2023
    Year: 2023.
  • Title: A Practical GPR Imaging Scheme for Buried Objects
    Authors: S. Tarai, S.L. Panda, B.S. Kumar, A.K. Sahoo, S. Maiti
    Conference: 2021 IEEE MTT-S International Microwave and RF Conference, IMARC 2021
    Year: 2021.
  • Title: Removal of Clutter and Random Noise for GPR Images
    Authors: B.S. Kumar, A.K. Sahoo, S. Maiti
    Conference: Proceedings of the 2021 IEEE 18th India Council International Conference, INDICON 2021
    Year: 2021.

Venkateswarlu Gundu | Electrical and Electronics Engineering | Best Researcher Award

Assist Prof Dr. Venkateswarlu Gundu - Electrical and Electronics Engineering - Best Researcher Award 🏆

Koneru Lakshmaiah Education Foundation - India

Professional Profiles

Early Academic Pursuits

He embarked on his academic journey with a profound passion for Electrical and Electronics Engineering (EEE). His curiosity and dedication led him to pursue a Doctor of Philosophy degree from the esteemed National Institute of Technology, Thiruchirappalli (NIT, Trichy), specializing in Artificial Intelligence. During his tenure as a full-time research scholar, Venkateswarlu demonstrated exceptional prowess in understanding complex systems, particularly in the realm of smart grids.

Professional Endeavors

As an Assistant Professor specializing in AI, Data Science, and Electrical and Electronics Engineering branches, he has made significant contributions to academia and research. With over four years of hands-on experience, he has honed his skills in Python, TensorFlow, Keras, Numpy, Pandas, OriginPro, Matplotlib, and Matlab. His expertise extends to machine learning, deep learning, natural language processing, and demand response programs, among others. He has been instrumental in shaping the minds of future engineers and researchers, imparting knowledge in subjects such as Python, Operating Systems, Computer Organization and Architecture, Power Systems, Digital Electronics, and Measurements and Machines.

Contributions and Research Focus in Electrical and Electronics Engineering

His research endeavors primarily focus on time series load and price forecasting using deep recurrent neural networks (RNN). He has published six papers in SCI-indexed journals, two papers in Scopus-indexed journals, and presented his work at an international conference. His research has been well-received in academic circles, with publications appearing in prestigious platforms such as IEEE, Springer, and Taylor and Francis. His contributions have significantly advanced the understanding and application of AI and data science in the field of Electrical and Electronics Engineering, particularly in smart grid technologies.

Accolades and Recognition

His contributions to academia and research have earned him recognition and accolades from peers and institutions alike. His publications in high-impact journals and conferences attest to the quality and significance of his work. Additionally, his expertise in Python, TensorFlow, and other technical skills has been acknowledged through certifications such as Microsoft Assure and NPTEL-Python. His dedication and commitment to advancing the frontiers of knowledge in Electrical and Electronics Engineering have solidified his reputation as a respected academic and researcher.

Impact and Influence

His research and teaching endeavors have left a lasting impact on the field of Electrical and Electronics Engineering and beyond. His innovative approaches to time series forecasting using RNNs have paved the way for improved efficiency and reliability in smart grid operations. Moreover, his mentorship and guidance have inspired numerous students to pursue careers in AI, data science, and EEE, further amplifying his influence on the next generation of engineers and researchers.

Legacy and Future Contributions

Looking ahead, he envisions expanding his research horizons to encompass areas such as natural language processing, text analysis, and data science. He remains committed to advancing the fields of machine learning and deep learning, with a particular emphasis on load, price, and solar data analysis. His legacy as an educator, researcher, and thought leader in Electrical and Electronics Engineering will continue to shape the future of the discipline, leaving a lasting imprint on academia and industry.

Citations

  • Citations               96
  • h-index                  4
  • i10-index               2

Notable Publications