Ravi Ranjan Kumar | Electronics | Young Scientist Award

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Mr. Ravi Ranjan Kumar | Electronics | Young Scientist Award

NIT Rourkela, India

Author Profile

Early Academic Pursuits 📘

Ravi Ranjan Kumar’s academic journey began with a strong foundation in science and technology. His early education at Gurukul, Kurukshetra (2013), and St. Xavier’s High School, Patna (2015), fostered a passion for analytical thinking and problem-solving. Excelling in his studies, he pursued a Bachelor of Technology in Electronics & Communication Engineering (2016–2020) at Chandigarh Engineering College, Landran. During this time, Ravi demonstrated remarkable dedication to mastering core engineering concepts. His academic trajectory culminated in a Master of Engineering in Electronics & Communication (2022–2024) from Chitkara University, Rajpura, Punjab, where he delved deeper into specialized areas of analog design and VLSI systems.

Professional Endeavors 💼

Ravi’s professional career reflects a blend of industry and research excellence. His initial experience as an Operation Supervisor at Needle Coke Pilot Plant, Tata Steel R&D (2020–2021) equipped him with hands-on expertise in managing technical operations and optimizing industrial processes. Transitioning to academia, he joined Chitkara University’s VLSI Centre of Excellence as a Research Assistant (2022–Present), contributing to innovative design and simulation projects. Ravi also explored the corporate sector as an Associate Recruiter at Varite India Pvt. Ltd. (2021–2022), showcasing versatility in his professional capabilities.

Contributions and Research Focus 🔬

Ravi’s research interests revolve around low-power analog circuit design and operational transconductance amplifiers (OTAs). His contributions include:

  • Design and Simulation of Low-Power Composite Flipped Follower-Based Bulk Driven OTA, focusing on power efficiency and robust performance.
  • Enhanced Bootstrapping Technique-Based OTA, a project highlighting advanced simulation methodologies to achieve low power consumption.
  • 89nW Class AB Bulk Driven Quasi Floating Gate Two-Stage OTA, published at the 2023 5th International Conference on Inventive Technology.
    These works reflect his commitment to advancing VLSI and analog circuit design, ensuring scalability and applicability for future technologies.

Accolades and Recognition 🏆

Ravi’s achievements are a testament to his dedication both academically and personally. His research has gained recognition in prestigious forums, such as:

  • 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), IEEE.
  • 2023 International Conference on Smart Systems and Inventive Technology (ICSSIT), IEEE.

Ravi’s non-academic pursuits include exemplary performance in sports and NCC. He earned A, B, and C certificates with Alpha Grade, participated in the National Tracking Camp in Saputara, Gujarat, and achieved recognition in state athletics and national-level football championships.

Impact and Influence 🌟

Ravi’s work in VLSI design has the potential to revolutionize low-power electronics, contributing significantly to energy-efficient systems. His projects, grounded in practical applications, align with the global focus on sustainable technology. Additionally, his multidisciplinary skills—ranging from Python programming to tools like Verilog, Cadence Virtuoso, Origin, and Visio—position him as a versatile contributor in the tech ecosystem.

Legacy and Future Contributions 🚀

Ravi Ranjan Kumar aims to leave a lasting legacy in the domains of analog design and low-power systems. His future aspirations include advancing research in VLSI technology and mentoring the next generation of engineers. With an unwavering commitment to innovation, Ravi envisions contributing to cutting-edge developments that shape the future of electronics. His blend of technical expertise, research acumen, and leadership qualities ensures his continued impact on academia, industry, and beyond.

In a world driven by innovation and creativity, Ravi embodies the spirit of a trailblazer, inspiring peers and aspiring technologists alike to push boundaries and dream big. 🎯

Citations

A total of 398 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        398
  • h-index          12
  • i10-index       16

Notable Publications 

  • Diagnose Crop Disease Using Krill Herd Optimization and Convolutional Neural Scheme
    Authors: K. Parthiban, Y.V. Rao, B. Harika, R. Kumar, A. Shaik, S.S. Shankar
    Journal: International Journal of Information Technology
    Year: 2023.
  • Design and Simulation of Cascode Current Reuse Low Power Operational Transconductance Amplifier
    Authors: R.R. Kumar, K. Sharma, A. Sachdeva, L. Gupta
    Journal: 2023 IEEE Devices for Integrated Circuit (DevIC)
    Year: 2023.
  • Role of Snow and Glacier Melt Runoff Modeling in Hydropower Projects in the Himalayan Region
    Authors: P. Singh, L. Polglase, D. Wilson, S.K. Jain, V.P. Singh, V. Kumar, R. Kumar, …
    Journal: WEES-2009
    Year: 2009.
  • Effect of Integrated Disease Management (IDM) Practices on Disease Severity and Incidence of Common Scab of Potato
    Authors: S. Kumar, S.K. Biswas, A. Kumar, V.D. Rajput, R. Kumar, S. Kumar, …
    Journal: Potato Research
    Year: 2024.
  • 89nW Class AB Bulk Driven Quasi Floating Gate Two Stage Operational Transconductance Amplifier
    Authors: R.R. Kumar, K. Sharma, A. Sharma
    Journal: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)
    Year: 2023.

Venkateswarlu Gundu | Electrical and Electronics Engineering | Best Researcher Award

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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