Khushboo Singh | Engineering | Best Researcher Award

Posted on by Physicist Particle

Dr. Khushboo Singh | Engineering | Best Researcher Award

Research Fellow at University of Technology Sydney, Australia

Dr. Khushboo Singh 🎓🔬 is a Postdoctoral Research Fellow at the University of Technology Sydney 🇦🇺. With 10+ years of experience in academia, defence, and industry, she specializes in high-power millimetre-wave antennas 🚀📡. Her collaboration with the Defence Science and Technology Group (DSTG) has earned her national recognition, including the prestigious Eureka Prize 🏆. Passionate about cutting-edge tech, she also works on space, maritime, and mobile satellite communication systems 🌌🌊📶. A dedicated mentor and leader, Dr. Singh actively supports women in STEM 💪👩‍🔬 while advancing Australia’s research landscape through innovation and excellence 🌟.

Professional Profile:

Scopus

Google Scholar

🔹 Education & Experience 

🎓 Education:

  • 📍 Ph.D. in Electrical & Electronics Engineering | Macquarie University, Australia | 2021

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

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

💼 Experience:

  • 👩‍🔬 Postdoctoral Research Fellow | UTS | Nov 2023 – Present

  • 👩‍🏫 Research Associate | UTS | Nov 2020 – Oct 2023

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

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

  • 🎓 Casual Tutor | Macquarie University | 2017, 2024

  • 👩‍🏫 Guest Lecturer | Swami Rama Himalayan University | 2015 – 2016

  • 👩‍🏫 Assistant Professor | Pratap Institute, India | 2014 – 2015

🔹 Professional Development 

Dr. Singh is a passionate leader in research and professional mentoring 🌟. She serves as a mentor in multiple STEM programs 👩‍🔬🤝 including Women in Engineering and WiSR at UTS, encouraging female participation in science and technology 👩‍💻👩‍🔬. As award chair for the 2025 Australian Microwave Symposium 🏅 and a past session organizer for major IEEE and EuCAP conferences, she actively contributes to the global antenna research community 🌐📡. 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 🚀🧑‍🔬.

🔹 Research Focus 

Dr. Singh’s research centers on high-power, metasurface-based millimetre-wave antennas 📡⚡ with beam-steering and in-antenna power-combining features. Her work has major applications in defence, space, maritime, and satellite communications 🛰️🚢. She collaborates with Australia’s Defence Science and Technology Group (DSTG) to design antennas suited for compact, power-constrained environments 🛠️. 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 🌐📶, cementing her role at the intersection of advanced electromagnetics, microwave engineering, and national security defense systems 🛡️.

🔹 Awards & Honors 

🏆 Awards & Honors:

  • 🥇 Winner – 2024 ICEAA – IEEE APWC Best Paper Award

  • 🏅 Winner – 2023 Eureka Prize for Outstanding Science for Safeguarding Australia

  • 👏 Finalist – 2025 AUS SPACE Academic Research Team of the Year

  • 👩‍🚀 Finalist – 2024 ADM Women in Defence (R&D Category)

  • 🧪 Finalist – 2022 UTS Vice-Chancellor’s Award for Research Excellence

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

  • 🥇 Winner – 2019 IEEE NSW Outstanding Student Volunteer

  • 💰 Winner – CHOOSEMATHS Grant by AMSI & BHP Foundation (2017)

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

Publication Top Notes

📘 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.

📗 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.

📙 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.

📕 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.

📒 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 — 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.

Ehsan Adibnia | Engineering | Best Academic Researcher Award

Posted on by Physicist Particle

Dr. Ehsan Adibnia | Engineering | Best Academic Researcher Award

Dr. Ehsan Adibnia at University of Sistan and Baluchestan, Iran

Dr. Ehsan Adibnia 🎓 is a dedicated academic researcher in electrical engineering ⚡, specializing in cutting-edge fields such as artificial intelligence 🤖, machine learning 📊, deep learning 🧠, nanophotonics 💡, optics 🔬, and plasmonics ✨. He is proficient in Python 🐍, MATLAB 🧮, and Visual Basic, and utilizes simulation tools like Lumerical 📈, COMSOL 🧪, and RSoft 🔧 to drive innovative research. Fluent in English 🇬🇧 and Persian 🇮🇷, Dr. Adibnia contributes to academic conferences and peer-reviewed journals 📚. He is currently pursuing his Ph.D. and actively engaged in interdisciplinary scientific exploration 🌐.

Professional Profile:

Orcid

Scopus

Google Scholar

🔹 Education & Experience 

🎓 Ph.D. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (Expected 2025)
🎓 B.S. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (2014)
🧑‍💼 Executive Committee Member – 27th Iranian Conference on Optics and Photonics & 13th Conference on Photonic Engineering and Technology
🖋️ Assistant Editor – International Journal (Name not specified)
🔍 Researcher – Actively engaged in interdisciplinary AI & photonics research projects

🔹 Professional Development 

Dr. Ehsan Adibnia continually enhances his professional growth through active participation in conferences 🧑‍🏫, committee leadership 🗂️, and editorial work 📑. He develops algorithms and conducts simulations using advanced tools such as Lumerical 🔬, COMSOL 🧪, and RSoft 💻. His expertise in AI and photonics drives innovative research and collaboration 🌍. He also hones his programming skills in MATLAB 🧮, Python 🐍, and VBA 🧠, ensuring precision in modeling and data analysis. His hands-on knowledge in PLC systems 🤖 and industrial automation makes him versatile across both academic and applied research settings 🏭.

🔹 Research Focus 

Dr. Adibnia’s research focuses on the fusion of artificial intelligence 🤖 and photonics 💡. His work explores machine learning 📊, deep learning 🧠, nanophotonics 🔬, plasmonics ✨, optical switching 🔁, and slow light 🐢 technologies. He is particularly interested in leveraging these technologies in biosensors 🧫, metamaterials 🔷, and quantum optics ⚛️. Through simulation and algorithm development, he aims to optimize performance in optoelectronic and photonic systems 🔍. His interdisciplinary research bridges electrical engineering with physics and AI, creating advanced systems for diagnostics, sensing, and smart environments 🌐.

🔹 Awards & Honors 

🏅 Executive Committee Role – 27th Iranian Conference on Optics and Photonics
🏅 Executive Committee Role – 13th Iranian Conference on Photonic Engineering and Technology
📜 Assistant Editor – International scientific journal (name not specified)
🧠 Scopus-indexed Researcher – Scopus ID: 58485414000

Publication Top Notes

🔹 High-performance and compact photonic crystal channel drop filter using P-shaped ring resonator

  • Journal: Results in Optics

  • Date: Dec 2025

  • DOI: 10.1016/j.rio.2025.100817

  • Summary: Proposes a novel P-shaped ring resonator design for channel drop filters in photonic crystal structures. Focuses on achieving high performance in terms of compactness and spectral selectivity for integrated optical circuits.

🔹 Optimizing Few-Mode Erbium-Doped Fiber Amplifiers for high-capacity optical networks using a multi-objective optimization algorithm

  • Journal: Optical Fiber Technology

  • Date: Sep 2025

  • DOI: 10.1016/j.yofte.2025.104186

  • Summary: Introduces a multi-objective optimization approach for designing few-mode EDFAs, targeting performance improvements in next-gen high-capacity optical networks.

🔹 Inverse design of octagonal plasmonic structure for switching using deep learning

  • Journal: Results in Physics

  • Date: Apr 2025

  • DOI: 10.1016/j.rinp.2025.108197

  • Summary: Utilizes deep learning for the inverse design of an octagonal plasmonic structure used in optical switching, demonstrating enhanced precision and compact design capability.

🔹 Chirped apodized fiber Bragg gratings inverse design via deep learning

  • Journal: Optics & Laser Technology

  • Date: 2025

  • DOI: 10.1016/J.OPTLASTEC.2024.111766

  • WOS UID: WOS:001311493000001

  • Summary: Applies deep learning to the inverse design of chirped apodized fiber Bragg gratings, optimizing the spectral characteristics for filtering and sensing applications.

🔹 Inverse Design of FBG-Based Optical Filters Using Deep Learning: A Hybrid CNN-MLP Approach

  • Journal: Journal of Lightwave Technology

  • Date: 2025

  • DOI: 10.1109/JLT.2025.3534275

  • Summary: Proposes a hybrid CNN-MLP architecture to design fiber Bragg grating (FBG) optical filters, improving accuracy and speed in the inverse design process using deep learning techniques.

Conclusion

Dr. Adibnia is still in the process of completing his Ph.D., his broad technical expertise, multidisciplinary research focus, early academic leadership roles, and active participation in both national and international platforms make him a highly promising candidate for the Best Academic Researcher Award in the early-career researcher or emerging researcher category.

Ali Darvish Falehi | Engineering | Excellence in Researcher Award

Posted on by Physicist Particle

Assoc. Prof. Dr. Ali Darvish Falehi | Engineering | Excellence in Researcher Award

Dr. Darvish Falehi at Islamic Azad University, Iran

Ali Darvish Falehi is a distinguished academic and professional in the field of Electrical Power Engineering. With a Ph.D. and Post-Ph.D. from Shahid Beheshti University, he ranks among the world’s top 2% scientists as listed by Stanford University in 2020. He is currently an Assistant Professor at Iran Islamic Azad University, a technical expert at Iran North Drilling Company, and the Chairman of the R&D Board at HICOBI Company. He has delivered keynote speeches at several international conferences and holds numerous patents. His contributions extend to supervising over 50 theses and reviewing for prestigious journals. 🌟🔬📚

Professional Profile:

Google Scholar

Education and Experience:

  • Post-Ph.D. & Ph.D. in Electrical Power Engineering, Shahid Beheshti University (First Class Honors) 🎓

  • Ranked among the world’s top 2% scientists by Stanford University in 2020 🌍

  • Chairman of R&D Board at HICOBI Company 🏢

  • Assistant Professor at Iran Islamic Azad University 👨‍🏫

  • Technical Expert at Iran North Drilling Company ⚙️

  • Main Speaker at national and international conferences 🎤

  • Reviewer for prestigious journals (IEEE, Elsevier, Springer) 📖

  • Supervisor & Adviser for 50+ M.Sc. and Ph.D. theses 📝

  • TOEFL-PBT score: 630 (Writing Score: 6) 🏆

  • Patents and medals at invention festivals in Iran, South Korea, and Romania 🏅

Professional Development: 

Ali Darvish Falehi has continuously developed his professional expertise by participating in global conferences and providing thought leadership as a main speaker and reviewer for high-impact journals such as IEEE and Elsevier. His dedication to research has led him to supervise over 50 graduate and doctoral theses, contributing to the academic growth of the next generation of engineers. He is also deeply involved in the industrial sector, where he serves as a technical expert for Iran North Drilling Company and leads the R&D board at HICOBI Company, driving innovation and technology forward. His work bridges academia and industry, enhancing both fields. 🔧🌐📊

Research Focus:

Ali Darvish Falehi’s research is centered around Electrical Power Engineering, with particular attention to energy systems, power distribution, and renewable energy solutions. His work aims to optimize power engineering technologies, focusing on improving energy efficiency and sustainability. He is known for his contributions to the development of advanced electrical systems and has been actively involved in creating patented innovations. His expertise in power engineering is complemented by his role as a technical expert, where he advises on industrial applications of electrical power systems. His research seeks to solve complex energy challenges, aligning with global sustainability goals. ⚡🌱🔋

Awards and Honors:

  • Ranked among the world’s top 2% scientists by Stanford University (2020) 🌍

  • Chairman of the R&D Board at HICOBI Company 🏢

  • Main Speaker at several international conferences 🎤

  • Reviewer for leading ISI journals like IEEE, Elsevier, Springer 📚

  • Supervisor & Adviser for 50+ M.Sc. and Ph.D. theses 📝

  • TOEFL-PBT Score: 630 🏆

  • Patents and medals from invention festivals in Iran, South Korea, and Romania 🏅

Publication Top Notes

  1. “An innovative optimal RPO-FOSMC based on multi-objective grasshopper optimization algorithm for DFIG-based wind turbine to augment MPPT and FRT capabilities” (2020)

    • Authors: A.D. Falehi

    • Journal: Chaos, Solitons & Fractals

    • Summary: This paper proposes an innovative control strategy using a multi-objective Grasshopper Optimization Algorithm (GOA) to enhance the MPPT and Fault Ride Through (FRT) capabilities of DFIG-based wind turbines. The use of Fractional-Order Sliding Mode Control (FOSMC) is central to this work.

  2. “Promoted supercapacitor control scheme based on robust fractional-order super-twisting sliding mode control for dynamic voltage restorer to enhance FRT and PQ capabilities of DFIG-based wind turbines” (2021)

    • Authors: A.D. Falehi, H. Torkaman

    • Journal: Journal of Energy Storage

    • Summary: This paper focuses on enhancing the FRT and Power Quality (PQ) capabilities of DFIG-based wind turbines. The authors propose a robust fractional-order control scheme for supercapacitors integrated with a Dynamic Voltage Restorer (DVR).

  3. “LVRT/HVRT capability enhancement of DFIG wind turbine using optimal design and control of novel PIλDμ-AMLI based DVR” (2018)

    • Authors: A.D. Falehi, M. Rafiee

    • Journal: Sustainable Energy, Grids and Networks

    • Summary: This work aims to enhance the Low Voltage Ride Through (LVRT) and High Voltage Ride Through (HVRT) capabilities of DFIG wind turbines by optimizing the design and control of a novel DVR based on a PIλDμ-AMLI (Proportional-Integral-Derivative) controller.

  4. “Enhancement of DFIG-wind turbine’s LVRT capability using novel DVR based odd-nary cascaded asymmetric multi-level inverter” (2017)

    • Authors: A.D. Falehi, M. Rafiee

    • Journal: Engineering Science and Technology, an International Journal

    • Summary: This paper explores improving the LVRT capability of DFIG wind turbines by integrating a novel Dynamic Voltage Restorer (DVR) system with an odd-nary cascaded asymmetric multi-level inverter.

  5. “Neoteric HANFISC–SSSC based on MOPSO technique aimed at oscillation suppression of interconnected multi-source power systems” (2016)

    • Authors: A.D. Falehi, A. Mosallanejad

    • Journal: IET Generation, Transmission & Distribution

    • Summary: This paper addresses the oscillation suppression in interconnected multi-source power systems using a Hybrid Active Networked Flexible Integrated Supply Chain (HANFISC)-Static Synchronous Series Compensator (SSSC) controlled by the Multi-Objective Particle Swarm Optimization (MOPSO) technique.

Conclusion:

Ali Darvish Falehi is undoubtedly a deserving candidate for the Excellence in Researcher Award. His combination of academic excellence, significant contributions to electrical power engineering, leadership in both academia and industry, and his global recognition positions him as a standout figure in his field. His ability to balance research with innovation, along with his dedication to mentoring future researchers, makes him an exemplary choice for this prestigious award.