Khushboo Singh | Engineering | Best Researcher Award

PublishedΒ on by Physicist Particle

Dr. Khushboo Singh | Engineering | Best Researcher Award

Research Fellow at University of Technology Sydney, Australia

Dr. Khushboo Singh πŸŽ“πŸ”¬ is a Postdoctoral Research Fellow at the University of Technology Sydney πŸ‡¦πŸ‡Ί. With 10+ years of experience in academia, defence, and industry, she specializes in high-power millimetre-wave antennas πŸš€πŸ“‘. Her collaboration with the Defence Science and Technology Group (DSTG) has earned her national recognition, including the prestigious Eureka Prize πŸ†. Passionate about cutting-edge tech, she also works on space, maritime, and mobile satellite communication systems πŸŒŒπŸŒŠπŸ“Ά. A dedicated mentor and leader, Dr. Singh actively supports women in STEM πŸ’ͺπŸ‘©β€πŸ”¬ while advancing Australia’s research landscape through innovation and excellence 🌟.

Professional Profile:

Scopus

Google Scholar

πŸ”Ή Education & ExperienceΒ 

πŸŽ“ Education:

  • πŸ“ Ph.D. in Electrical & Electronics Engineering | Macquarie University, Australia | 2021

  • πŸ“ M.Sc. (Research) in Electronics & Communication | LNMIIT, India | 2014 | CPI: 9/10

  • πŸ“ B.Tech in Electronics & Communication | SHIATS, India | 2012 | CPI: 9.7/10

πŸ’Ό Experience:

  • πŸ‘©β€πŸ”¬ Postdoctoral Research Fellow | UTS | Nov 2023 – Present

  • πŸ‘©β€πŸ« Research Associate | UTS | Nov 2020 – Oct 2023

  • 🌏 Visiting Researcher | IIT-Kanpur | Mar – May 2023

  • 🧠 Technical Researcher | Electrotechnik Pty Ltd. | Nov 2019 – Mar 2020

  • πŸŽ“ Casual Tutor | Macquarie University | 2017, 2024

  • πŸ‘©β€πŸ« Guest Lecturer | Swami Rama Himalayan University | 2015 – 2016

  • πŸ‘©β€πŸ« Assistant Professor | Pratap Institute, India | 2014 – 2015

πŸ”Ή Professional DevelopmentΒ 

Dr. Singh is a passionate leader in research and professional mentoring 🌟. She serves as a mentor in multiple STEM programs πŸ‘©β€πŸ”¬πŸ€ including Women in Engineering and WiSR at UTS, encouraging female participation in science and technology πŸ‘©β€πŸ’»πŸ‘©β€πŸ”¬. As award chair for the 2025 Australian Microwave Symposium πŸ… and a past session organizer for major IEEE and EuCAP conferences, she actively contributes to the global antenna research community πŸŒπŸ“‘. She also provides project supervision, peer reviews, and guidance to students and engineers, playing a key role in shaping future tech talent and research direction πŸš€πŸ§‘β€πŸ”¬.

πŸ”Ή Research FocusΒ 

Dr. Singh’s research centers on high-power, metasurface-based millimetre-wave antennas πŸ“‘βš‘ with beam-steering and in-antenna power-combining features. Her work has major applications in defence, space, maritime, and satellite communications πŸ›°οΈπŸš’. She collaborates with Australia’s Defence Science and Technology Group (DSTG) to design antennas suited for compact, power-constrained environments πŸ› οΈ. Her contributions enable better surveillance, radar, and communication systems in mission-critical scenarios 🎯. She is also exploring inter-satellite link antennas and intelligent surfaces for next-gen wireless communication πŸŒπŸ“Ά, cementing her role at the intersection of advanced electromagnetics, microwave engineering, and national security defense systems πŸ›‘οΈ.

πŸ”Ή Awards & HonorsΒ 

πŸ† Awards & Honors:

  • πŸ₯‡ Winner – 2024 ICEAA – IEEE APWC Best Paper Award

  • πŸ… Winner – 2023 Eureka Prize for Outstanding Science for Safeguarding Australia

  • πŸ‘ Finalist – 2025 AUS SPACE Academic Research Team of the Year

  • πŸ‘©β€πŸš€ Finalist – 2024 ADM Women in Defence (R&D Category)

  • πŸ§ͺ Finalist – 2022 UTS Vice-Chancellor’s Award for Research Excellence

  • ⭐ Top 200 Reviewer – IEEE Transactions on Antennas & Propagation (2023)

  • πŸ₯‡ Winner – 2019 IEEE NSW Outstanding Student Volunteer

  • πŸ’° Winner – CHOOSEMATHS Grant by AMSI & BHP Foundation (2017)

  • πŸŽ“ Scholarships – iRTP (2017–2020), LNMIIT Research Stipend (2012–2014)

Publication Top Notes

πŸ“˜ 1. Controlling the Most Significant Grating Lobes in Two-Dimensional Beam-Steering Systems with Phase-Gradient Metasurfaces

  • Authors: K. Singh, M.U. Afzal, M. Kovaleva, K.P. Esselle

  • Journal: IEEE Transactions on Antennas and Propagation

  • Volume/Issue: 68(3), Pages 1389–1401

  • Year: 2019

  • Citations: 86

  • DOI: 10.1109/TAP.2019.2940403

  • Highlights:

    • Introduced techniques to control dominant grating lobes in 2D beam-steering.

    • Employed phase-gradient metasurfaces to steer beams without complex feed networks.

    • Achieved low sidelobe levels and improved directivity.

    • Combined analytical modeling with full-wave electromagnetic simulations.

πŸ“— 2. Designing Efficient Phase-Gradient Metasurfaces for Near-Field Meta-Steering Systems

  • Authors: K. Singh, M.U. Afzal, K.P. Esselle

  • Journal: IEEE Access

  • Volume: 9, Pages 109080–109093

  • Year: 2021

  • Citations: 34

  • DOI: 10.1109/ACCESS.2021.3102204

  • Highlights:

    • Focused on near-field applications such as wireless power transfer.

    • Proposed a method to optimize phase response for compact metasurfaces.

    • Improved phase accuracy and minimized aperture size.

    • Demonstrated via simulations and measured prototypes.

πŸ“™ 3. State-of-the-Art Passive Beam-Steering Antenna Technologies: Challenges and Capabilities

  • Authors: F. Ahmed, K. Singh, K.P. Esselle

  • Journal: IEEE Access

  • Volume: 11, Pages 69101–69116

  • Year: 2023

  • Citations: 28

  • DOI: 10.1109/ACCESS.2023.3285260

  • Highlights:

    • Comprehensive review of passive beam-steering technologies.

    • Covers reconfigurable metasurfaces, mechanical rotation, and tunable materials.

    • Discusses energy efficiency, low-cost manufacturing, and practical limitations.

    • Key insight for researchers targeting 6G, IoT, and wearable tech.

πŸ“• 4. Evaluation Planning for Artificial Intelligence-Based Industry 6.0 Metaverse Integration

  • Author: K. Singh

  • Conference: Intelligent Human Systems Integration (IHSI 2023)

  • Year: 2023

  • Citations: 27

  • DOI: 10.1007/978-3-031-28032-0_40

  • Highlights:

    • Discusses AI-driven frameworks for integrating Industry 6.0 with the metaverse.

    • Addresses human-system interaction, digital twins, and smart automation.

    • Proposes an evaluation roadmap for real-time metaverse-industrial synergy.

    • Useful for future cyber-physical systems and smart manufacturing.

πŸ“’ 5. Accurate Optimization Technique for Phase-Gradient Metasurfaces Used in Compact Near-Field Meta-Steering Systems

  • Authors: K. Singh, M.U. Afzal, K.P. Esselle

  • Journal: Scientific Reports (Nature Publishing Group)

  • Volume: 12, Article 4118

  • Year: 2022

  • Citations: 20

  • DOI: 10.1038/s41598-022-08057-8

  • Highlights:

    • Developed a precise numerical optimization technique for metasurface design.

    • Reduced phase errors, enabling high-accuracy near-field beam control.

    • Achieved better performance in compact and portable systems.

    • Practical for radar, medical imaging, and wireless power applications.

Conclusion

Dr. Khushboo Singh exemplifies the qualities of an outstanding researcher β€” innovative, impactful, and committed to scientific excellence. Her exceptional track record in antenna technology for defense and space applications, combined with her leadership in mentoring and research supervision, makes her a standout candidate for the Best Researcher Award. Her research is not only scientifically robust but also socially and nationally significant, particularly in safeguarding technological frontiers of Australia.

She is a role model for aspiring researchers, especially women in STEM, and a worthy recipient of such an honor.

Sahar Ghatrehsamani | Engineering | Best Scholar Award

PublishedΒ 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. πŸŒπŸ”¬

Professional Profile:

Scopus

Google Scholar

Education & Experience

πŸ“š Education:

  • πŸŽ“ Ph.D. in Mechanical Engineering (Tribology) – Isfahan University of Technology, Iran (2017-2022)

  • πŸŽ“ M.Sc. in Mechanical Engineering (Tribology) – Isfahan University of Technology, Iran (2015-2017)

  • πŸŽ“ B.Sc. in Mechanical Engineering (Biosystem) – Shahrekord University, Iran (2009-2013)

πŸ”¬ Experience:

  • πŸ” Postdoctoral Researcher – Isfahan University of Technology, Iran (2024-Present)

  • πŸ‘©β€πŸ« Teaching Experience – Multiple undergraduate courses in mechanical engineering at IUT (2018-Present)

  • 🀝 Co-Advisor – 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. πŸšœπŸ› οΈ

Research Focus

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

  • 🏎️ Tribology – Studying friction, wear, and lubrication for various applications

  • 🏭 Surface Engineering – Enhancing material properties for durability and efficiency

  • πŸ€– Machine Learning & AI – Applying predictive modeling in tribological behavior and material design

  • πŸ— Mechanical Behavior of Materials – Understanding stress, strain, and failure mechanics

  • 🚜 Precision Agriculture – Developing efficient and smart agricultural machinery

  • πŸ–¨οΈ Additive Manufacturing – Investigating 3D printing & advanced manufacturing

  • πŸ“Š Data Analysis & Numerical Modeling – Integrating simulation techniques for engineering solutions

Awards & Honors

Teaching Excellence:

  • πŸŽ–οΈ Ranked 1st in Mechanical Engineering Group (2021)

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

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

Research Contributions:

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

  • 🌍 Contributed to international collaborations in mechanical engineering research

πŸš€ 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.