V.G. Saranya | Engineering | Best Researcher Award

Mrs. V.G. Saranya | Engineering | Best Researcher Award

Research Scholar at Srinivasa Institute of engineering and technology, India

V.G. Saranya ๐ŸŽ“ is a dedicated research scholar at SRM Institute of Science & Technology ๐Ÿ›๏ธ. She earned her B.E. in Electronics and Communication Engineering from Srinivasa Institute of Engineering and Technology ๐Ÿ”ง and her M.E. in Embedded System Technologies from Anna University, Guindy Campus ๐Ÿ–ฅ๏ธ. Currently pursuing her Ph.D. ๐Ÿ“š, her research explores Wireless Sensor Networks ๐ŸŒ, communication systems ๐Ÿ“ก, security frameworks ๐Ÿ”’, and machine learning ๐Ÿค–. With a passion for innovation, she has developed models that improve localization, secure DDoS detection, and healthcare analytics ๐Ÿ’ก. She actively contributes to smart and sustainable tech solutions ๐ŸŒฑ.

Professional Profile:

Scopus

๐Ÿ”น Education & Experience

  • ๐ŸŽ“ B.E. in Electronics and Communication Engineering โ€“ Srinivasa Institute of Engineering and Technology, Anna University

  • ๐ŸŽ“ M.E. in Embedded System Technologies โ€“ College of Engineering, Guindy, Anna University (2016)

  • ๐Ÿงช Ph.D. in Progress โ€“ SRM Institute of Science & Technology

  • ๐Ÿ‘ฉโ€๐Ÿ’ป Research Experience โ€“ Wireless Sensor Networks, Communication Systems, Network Security & Machine Learning

  • ๐Ÿง  Technical Expertise โ€“ Hybrid models, IoT-RFID integration, DDoS prevention systems, clustering algorithms

๐Ÿ”น Professional Development

V.G. Saranya has continuously advanced her professional journey through impactful research and interdisciplinary innovations ๐Ÿง . She has combined evolutionary algorithms with deep learning architectures to improve localization and network defense systems โš™๏ธ๐Ÿ›ก๏ธ. Her active use of tools like Tableau ๐Ÿ“Š and predictive modeling in healthcare monitoring demonstrates her commitment to societal welfare โค๏ธ๐Ÿฅ. Saranya also integrates IoT with sustainable frameworks for lifecycle management ๐ŸŒฟ๐Ÿ”— and develops energy-efficient routing protocols in WSNs ๐Ÿ”‹๐Ÿ“ถ. She regularly engages in academic conferences, technical workshops, and collaborative research initiatives to stay ahead in her domain and contribute meaningfully to the tech community ๐Ÿ‘ฉโ€๐Ÿ”ฌ๐Ÿค.

๐Ÿ”น Research Focus Categoryย 

V.G. Saranyaโ€™s research lies at the intersection of Wireless Sensor Networks (WSNs) ๐Ÿ“ก, Cybersecurity ๐Ÿ”, Machine Learning ๐Ÿค–, and Smart Healthcare Analytics ๐Ÿฅ. Her work enhances real-time localization, anomaly detection, and routing in distributed networks through hybrid AI algorithms ๐ŸŒ๐Ÿง . With a strong inclination toward sustainable and intelligent systems, she introduces energy-efficient clustering and secure data protocols for IoT-driven environments ๐Ÿ”‹๐ŸŒฟ. Her innovations span across interdisciplinary domainsโ€”merging technology with social impact, especially in healthcare and infrastructure resilience ๐Ÿฅ๐Ÿ—๏ธ. Saranyaโ€™s focus is on scalable, adaptive, and secure systems for modern, connected environments ๐Ÿš€๐Ÿ“ฒ.

๐Ÿ”น Awards & Honorsย 

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  • ๐Ÿ… Received Best Paper Award at a National Conference on Emerging Technologies

  • ๐Ÿฅ‡ Recognized for Outstanding Research Contribution in IoT and WSNs by SRMIST

  • ๐ŸŽ–๏ธ Participated in Innovation Challenge Hackathon with distinction

  • ๐Ÿ† Awarded Research Grant for interdisciplinary project on Healthcare

Publication Top Notes

  • Title: TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques

  • Authors: V.G. Saranya, K. Sekhar, Karthik

  • Journal: Alexandria Engineering Journal (AEJ)

  • Year: 2025

  • DOI: 10.1016/j.aej.2024.12.091

Conclusion

V.G. Saranya is a strong contender for the Best Researcher Award, particularly in the early-career or emerging researcher category. Her research exhibits technical innovation, interdisciplinary integration, and impact-driven application, making her a suitable and deserving nominee. Her contributions not only advance academic knowledge but also serve critical societal and industrial needs.

Yun Zhao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Yun Zhao | Engineering | Best Researcher Award

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao ๐ŸŽ“ is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University ๐Ÿซ, since 2020. He earned his Ph.D. in Materials Science and Engineering ๐Ÿงช from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences ๐Ÿ‡จ๐Ÿ‡ณ, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering ๐Ÿ”ฌ as a postdoctoral researcher. His work focuses on thin film photodetectors ๐Ÿ“ธ and semiconductor devices ๐Ÿ’ก. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering ๐Ÿš€.

Professional Profile:

Orcid

Scopus

๐ŸŽ“ Education & Experienceย 

  • ๐Ÿ“š Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS โ€“ 2020

  • ๐Ÿง‘โ€๐Ÿซ Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • ๐Ÿ‘จโ€๐Ÿซ Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University โ€“ Since 2020

๐Ÿ“ˆ Professional Developmentย 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations ๐Ÿค. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors โš™๏ธ. As an associate professor, he mentors young researchers ๐Ÿ‘จโ€๐Ÿ”ฌ and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology ๐Ÿ”. He regularly attends academic conferences, publishes in reputed journals ๐Ÿ“„, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices ๐ŸŒ.

๐Ÿ”ฌ Research Focusย 

Dr. Yun Zhaoโ€™s research primarily revolves around thin film photodetectors ๐Ÿ“ธ and semiconductor devices โšก. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies ๐ŸŒž. He explores emerging materials such as perovskites and nanostructures ๐ŸŒฑ for integration into flexible and wearable electronics ๐Ÿงค. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems ๐Ÿ”‹. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications ๐Ÿš—๐Ÿ“ฑ.

๐Ÿ† Awards and Honorsย 

  • ๐ŸŽ–๏ธ Ph.D. fellowship from the Chinese Academy of Sciences

  • ๐Ÿ… Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • ๐Ÿ† Recognized for outstanding research contributions in thin film photodetectors

  • ๐Ÿ“œ Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cuโ‚‚ZnSn(S,Se)โ‚„ Kesterite Thin-Film Solar Cells

Journal: Solar Energy
Date: May 2025
DOI: 10.1016/j.solener.2025.113450
Summary:
This study investigates how proton radiation affects the stability and performance of Cuโ‚‚ZnSn(S,Se)โ‚„ (CZTSSe) thin-film solar cells. Proton radiation is relevant for space applications where solar cells are exposed to high-energy particles. The paper likely explores:

  • Changes in carrier lifetimes and defect states post-irradiation.

  • Structural or compositional changes in the absorber layer.

  • Strategies to mitigate degradation for improved radiation tolerance.

2. Multifunctional Artificial Electric Synapse of MoSeโ‚‚-Based Memristor toward Neuromorphic Application

Journal: The Journal of Physical Chemistry Letters
Date: February 6, 2025
DOI: 10.1021/acs.jpclett.4c03353
Summary:
This article presents a MoSeโ‚‚-based memristor designed to emulate biological synapses. The work focuses on neuromorphic computing, highlighting:

  • Synaptic plasticity behaviors (e.g., potentiation/depression).

  • Multifunctionality (possibly electrical + optical control).

  • Performance metrics like switching speed, retention, and endurance.

3. Exploring the Promoting Effect of Lanthanum Passivation on the Photovoltaic Performance of CZTSSe Solar Cells

Journal: The Journal of Chemical Physics
Date: December 21, 2024
DOI: 10.1063/5.0244645
Summary:
This paper studies how lanthanum (La) passivation enhances CZTSSe solar cell efficiency. Key aspects likely include:

  • Reduction in defect densities at grain boundaries or interfaces.

  • Improvements in open-circuit voltage and fill factor.

  • Insights into Laโ€™s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Tiโ‚ƒCโ‚‚ MXene for Near-Infrared Artificial Vision Applications

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c02281
Summary:
This research showcases a Tiโ‚ƒCโ‚‚ MXene-based memristor that responds to both electrical and light inputs, mimicking the retina for near-infrared vision. Highlights include:

  • Dual-mode modulation (electrical and optical).

  • Application in neuromorphic visual systems.

  • Spectral response analysis and synaptic behavior simulation.

5. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSeโ‚‚/PxOy Heterostructured Memristor

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c01980
Summary:
This study introduces a heterostructured memristor combining P-doped MoSeโ‚‚ and PxOy, enabling light-tuned synaptic responses. Likely contributions:

  • Multicolor light sensitivity for multi-channel processing.

  • Photonic modulation of conductance states.

  • Integration prospects for optical neuromorphic systems.

Conclusion

Dr. Yun Zhao is highly suitable for the Best Researcher Award, particularly in categories related to emerging materials, device physics, or engineering sciences. His rapid academic progression, focused and relevant research in photodetectors and semiconductors, and training at top-tier institutions within the Chinese Academy of Sciences establish him as a promising and impactful researcher. Recognition through such an award would be both meritorious and motivating for his continued contributions to the field.