V.G. Saranya | Engineering | Best Researcher Award

Posted on by Physicist Particle

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 

(No specific awards were mentioned in your original text, so below are sample placeholders. Please provide exact details if available.)

  • 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.

Sahar Ghatrehsamani | Engineering | Best Scholar Award

Posted on by Physicist Particle

Dr. Sahar Ghatrehsamani | Engineering | Best Scholar Award

Postdoctoral at Isfahan University of Technology, Iran

Dr. Sahar Ghatrehsamani is a passionate mechanical engineer specializing in tribology, with a strong background in machine learning and surface engineering. She earned her Ph.D. in Mechanical Engineering from Isfahan University of Technology (IUT), Iran (2022) and is currently a postdoctoral researcher at IUT, applying AI techniques to predict the tribological behavior of agricultural machinery. With expertise in CAD, FEA, and statistical analysis, she has contributed significantly to teaching, research, and mentoring students. Her work intersects materials science, additive manufacturing, and precision agriculture, making her a versatile and innovative researcher. ๐ŸŒ๐Ÿ”ฌ

Professional Profile:

Scopus

Google Scholar

Education & Experience

๐Ÿ“š Education:

  • ๐ŸŽ“ Ph.D. in Mechanical Engineering (Tribology) โ€“ Isfahan University of Technology, Iran (2017-2022)

  • ๐ŸŽ“ M.Sc. in Mechanical Engineering (Tribology) โ€“ Isfahan University of Technology, Iran (2015-2017)

  • ๐ŸŽ“ B.Sc. in Mechanical Engineering (Biosystem) โ€“ Shahrekord University, Iran (2009-2013)

๐Ÿ”ฌ Experience:

  • ๐Ÿ” Postdoctoral Researcher โ€“ Isfahan University of Technology, Iran (2024-Present)

  • ๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience โ€“ Multiple undergraduate courses in mechanical engineering at IUT (2018-Present)

  • ๐Ÿค Co-Advisor โ€“ 2 Master’s & 6 Bachelor’s students

Professional Development

Dr. Sahar Ghatrehsamani is dedicated to research, teaching, and innovation in mechanical engineering, particularly in tribology, surface engineering, and AI-driven modeling. She has actively mentored students, guided research projects, and developed expertise in CAD, numerical simulation, and data analysis. Her teaching career at Isfahan University of Technology spans multiple engineering courses, and she has consistently ranked highly in teaching evaluations. Passionate about bridging the gap between mechanical engineering and materials science, she explores new technologies in additive manufacturing and precision agriculture to enhance sustainability and performance. ๐Ÿšœ๐Ÿ› ๏ธ

Research Focus

Dr. Sahar Ghatrehsamani’s research spans multiple engineering domains, focusing on:

  • ๐ŸŽ๏ธ Tribology โ€“ Studying friction, wear, and lubrication for various applications

  • ๐Ÿญ Surface Engineering โ€“ Enhancing material properties for durability and efficiency

  • ๐Ÿค– Machine Learning & AI โ€“ Applying predictive modeling in tribological behavior and material design

  • ๐Ÿ— Mechanical Behavior of Materials โ€“ Understanding stress, strain, and failure mechanics

  • ๐Ÿšœ Precision Agriculture โ€“ Developing efficient and smart agricultural machinery

  • ๐Ÿ–จ๏ธ Additive Manufacturing โ€“ Investigating 3D printing & advanced manufacturing

  • ๐Ÿ“Š Data Analysis & Numerical Modeling โ€“ Integrating simulation techniques for engineering solutions

Awards & Honors

Teaching Excellence:

  • ๐ŸŽ–๏ธ Ranked 1st in Mechanical Engineering Group (2021)

  • ๐Ÿ… Ranked 2nd in College of Engineering (2021)

  • ๐Ÿ† Ranked 13th among 569 faculty members at IUT (2021)

Research Contributions:

  • ๐Ÿ“œ Published multiple high-impact research papers in tribology and AI modeling

  • ๐ŸŒ Contributed to international collaborations in mechanical engineering research

๐Ÿš€ Her dedication to education, research, and innovation has established her as a rising expert in tribology and machine learning!

Publication Top Notes

  1. On the running-in nature of metallic tribo-components: A review

    • Authors: M.M. Khonsari, S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Wear (Vol. 474, 2021)

    • Citations: 113

    • Summary: A comprehensive review of the running-in phase in metallic tribo-systems, examining the changes in friction, wear, and surface topography over time.

  2. Experimentally verified prediction of friction coefficient and wear rate during running-in dry contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology International (Vol. 170, 2022)

    • Citations: 41

    • Summary: Experimental validation of predictive models for friction and wear rate during the running-in phase under dry contact conditions.

  3. Experimental and numerical study of the running-in wear coefficient during dry sliding contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Surface Topography: Metrology and Properties (Vol. 9, Issue 1, 2021)

    • Citations: 25

    • Summary: Investigates the wear coefficient during dry sliding contact using both experimental methods and numerical simulations.

  4. Predicting the wear coefficient and friction coefficient in dry point contact using continuum damage mechanics

    • Authors: S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology (2019)

    • Citations: 23

    • Summary: Develops a predictive framework for wear and friction coefficients in dry point contact using continuum damage mechanics.

  5. Application of continuum damage mechanics to predict wear in systems subjected to variable loading

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology Letters (Vol. 69, 2021)

    • Citations: 15

    • Summary: Extends continuum damage mechanics principles to predict wear in tribological systems under varying load conditions.

Conclusion

Sahar Ghatrehsamani is a strong candidate for the Best Scholar Award. Her contributions to tribology, AI-driven material predictions, and mechanical behavior research are significant. She excels in both academic and applied research, making notable interdisciplinary advancements. Given her teaching excellence, mentorship, and research output, she is highly deserving of recognition as a leading researcher in her field.

Simona Svozilovรก | Engineering | Best Researcher Award

Posted on by Physicist Particle

Ms. Simona Svozilovรก | Engineering | Best Researcher Award

Ms. Simona Svozilovรก, University of West Bohemia, Czech Republic

Simona Svozilovรก is a doctoral researcher at the University of West Bohemia in Pilsen, Czechia, specializing in material recycling in metal additive manufacturing. With a strong academic foundation in mechanical engineering, she has contributed to international projects, including collaborative research with the National University of Colombia. Her professional experience as a research assistant at the Regional Technological Institute has honed her skills in surface engineering and project management. Passionate about advancing sustainable engineering practices, Simona has presented her work at international conferences and continues to explore innovative solutions in her field.

PROFILE

Orcidย  Profile

Educational Detail

Doctoral Studies (Current)
University of West Bohemia, Pilsen, Czechia (09/2024 โ€“ Present)

Master’s Degree in Mechanical Engineering
University of West Bohemia, Pilsen, Czechia (09/2022 โ€“ 08/2024)

Thesis: The Influence of Material Recycling in Metal Additive Manufacturing

Two-month internship at the National University of Colombia, resulting in collaborative research and a paper presented at the Congreso Internacional de Materiales (CIM2024).

Bachelor’s Degree in Mechanical Engineering
University of West Bohemia, Pilsen, Czechia (08/2018 โ€“ 08/2022)

Graduation Certificate
Gymnรกzium Plzeลˆ, Pilsen, Czechia (08/2013 โ€“ 05/2017)

Field of Study: Natural Sciences, Mathematics, and Statistics

Professional Experience

Research Assistant
Regional Technological Institute โ€“ University of West Bohemia, Pilsen, Czechia (07/2021 โ€“ Present)

Assisted in the preparation and implementation of national and international research projects.

Developed promotional materials and led small teams.

Conducted surface treatment processes and precision measurements in engineering.

Presented research findings at the International Materials Conference, building on an internship collaboration with Colombia.

Research Interests

Metal Additive Manufacturing and Material Recycling

Surface Engineering and Precision Measurement Techniques

International Collaboration in Engineering Research

Digital Skills

Microsoft Office Suite: Word, Excel, PowerPoint, Teams

Google Workspace: Google Drive, Gmail

Certifications and Honors

Certificate in Quality Assurance (Certified Quality Manager) โ€“ University of West Bohemia

 

Top Notable Publications

The article titled “Evaluation of Recycled and Reused Metal Powders for DMLS 3D Printing” was published in the journal Materials on December 18, 2024.

MDPI

Authors:

Simona Svozilovรก

Ivana Zetkovรก

Juan Felipe Santa Marรญn

Jesรบs Arturo Torres Garay

Citation Details:

Materials, Volume 17, Issue 24, Article 6184

DOI: 10.3390/ma17246184

Conclusion

Ms. Simona Svozilovรก is an exemplary candidate for the Research for Best Researcher Award.
Her extensive academic foundation, significant research contributions, international
collaborations, and practical expertise position her as a forward-thinking researcher poised to
make transformative impacts in her field.