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Dr. Sunil Kumar | Machine Learning | Best Researcher Award

Assistant Professor at MS Ramaiah University of Applied Sciences, India.

Dr. Sunil Kumar is a dedicated professional with a rich academic background and diverse expertise. With a Ph.D. from Birla Institute Technology (BIT), Mesra Ranchi, and master’s and bachelor’s degrees from YMCA University of Science and Technology and Anna University, respectively, Dr. Kumar brings a wealth of knowledge to his work. His passion for academia is evident in his objective to develop young minds and contribute to their overall growth. With nearly a decade of experience in teaching and industry, including roles at prestigious institutions like Ramaiah University of Applied Sciences and Madanapalle Institute of Technology & Science, Dr. Kumar has demonstrated his commitment to education and research. He is an active member of various professional societies, including IEEE and ISTE, and has contributed significantly to workshops, seminars, and short-term courses aimed at enhancing technical education. Dr. Kumar’s research interests span signal processing, machine learning, and microwave applications, areas in which he has published and reviewed extensively. His dedication to his field, coupled with his diverse skill set and academic achievements, makes him a valuable asset to the academic and research community.

Professional Profiles:

Education

Dr. Sunil Kumar has pursued a robust educational journey, culminating in a Ph.D. from Birla Institute Technology (BIT), Mesra Ranchi. Prior to his doctoral studies, he obtained an M.Tech in Electronics from YMCA University of Science and Technology, Faridabad, and a B.E. in Electronics and Communication Engineering (ECE) from Anna University, Chennai. His educational background reflects a strong foundation in both theoretical knowledge and practical application, preparing him for a successful career in academia and industry. 🎓📚

Professional Experience

Dr. Sunil Kumar has accumulated 9.5 years of rich and diverse experience encompassing both teaching and industry roles. He currently serves as an Assistant Professor at Ramaiah University of Applied Sciences, where he imparts knowledge and mentors students. Previously, he held similar positions at Madanapalle Institute of Technology & Science, CFA Academy in Noida, and Dronacharya College of Engineering. Additionally, he contributed as a Guest Faculty at YMCA UST, Faridabad. Beyond academia, Dr. Kumar also ventured into the industry as a Production Manager at RAJ APEX CONSTRUCTIONS (P) Ltd. His extensive professional journey reflects a dedication to both education and practical application in the field. 👨‍🏫🏭

Research Interest

Dr. Sunil Kumar’s research interests span several domains, reflecting his multidisciplinary approach and expertise. He is particularly inclined towards exploring areas such as signal processing, machine learning, and their applications in diverse fields. Additionally, his research pursuits extend to bioinformatics, microwave applications, and VLSI design. Through his scholarly endeavors, Dr. Kumar aims to contribute significantly to these fields, leveraging his expertise in data analysis, algorithm development, and technological innovation. His diverse research interests underscore a commitment to advancing knowledge and addressing contemporary challenges through innovative research methodologies. 🧪🔬📊

Award and Honors

Dr. Sunil Kumar has accumulated a wealth of experience and expertise in academia and research throughout his career. With a Ph.D. from Birla Institute Technology (BIT), Mesra Ranchi, an M.Tech in Electronics from YMCA University of Science and Technology, and a B.E. in Electronics and Communication Engineering from Anna University, Chennai, Dr. Kumar possesses a strong educational foundation. He has garnered over 9.5 years of combined teaching and industry experience, serving in various roles such as Assistant Professor at Ramaiah University of Applied Sciences and Madanapalle Institute of Technology & Science. Dr. Kumar has also made significant contributions to workshops, seminars, and short-term courses, demonstrating his commitment to continuous learning and professional development. Additionally, he has been honored with certifications in areas such as research, signal processing techniques, and various programming languages. Dr. Kumar’s dedication to academic excellence and his passion for research underscore his significant contributions to his field.

Research Skills

Dr. Sunil Kumar possesses a diverse set of research skills honed through his extensive academic and professional journey. With expertise in areas such as signal processing, machine learning, and microwave applications, Dr. Kumar has demonstrated a proficiency in both theoretical knowledge and practical application. His research acumen extends to the utilization of programming languages like Matlab and Python, enabling him to conduct in-depth analyses and develop innovative solutions. Furthermore, Dr. Kumar’s ability to review and contribute to esteemed journals such as IEEE Sensor Journal and Elsevier’s Infrared Physics and Technology showcases his proficiency in academic writing and critical evaluation. Overall, his research skills reflect a comprehensive understanding of contemporary techniques and methodologies essential for advancing knowledge in his field.

Publications

  1. Title: Detection of peak wavelength of multi-FBG using higher-order derivative of wavelets multiresolution analysis and maximum likelihood estimation
    • Authors: Kumar, S.; Sengupta, S.
    • Year: 2023
    • Citations: 1
  2. Title: Machine learning based algorithm for multi-FBG peak detection using generative adversarial network
    • Authors: Kumar, S.; Sengupta, S.
    • Year: 2023
  3. Title: Efficient detection of multiple FBG wavelength peaks using matched filtering technique
    • Authors: Kumar, S.; Sengupta, S.
    • Year: 2022
    • Citations: 7
  4. Title: Adaptive and precise peak detection algorithm for fibre Bragg grating using generative adversarial network
    • Authors: Kumar, S.; Sengupta, S.
    • Year: 2022
    • Citations: 2
  5. Title: FBG Peak Wavelength Detection Using Transfer Learning-Based Machine Learning Method
    • Authors: Kumar, S.; Sengupta, S.
    • Year: 2022
  6. Title: Multi Peak Detection Algorithm of Fiber Bragg Grating using Mexican Hat Wavelets and Hilbert Transform
    • Authors: Kumar, S.; Sengupta, S.
    • Year: 2022

 

Sunil Kumar | Machine Learning | Best Researcher Award

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