Khushboo Singh | Engineering | Best Researcher Award

Published 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

Published 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

Published 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.

Yun Zhao | Engineering | Best Researcher Award

Published on by Physicist Particle

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

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao 🎓 is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University 🏫, since 2020. He earned his Ph.D. in Materials Science and Engineering 🧪 from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🇨🇳, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering 🔬 as a postdoctoral researcher. His work focuses on thin film photodetectors 📸 and semiconductor devices 💡. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering 🚀.

Professional Profile:

Orcid

Scopus

🎓 Education & Experience 

  • 📚 Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS – 2020

  • 🧑‍🏫 Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • 👨‍🏫 Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University – Since 2020

📈 Professional Development 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations 🤝. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors ⚙️. As an associate professor, he mentors young researchers 👨‍🔬 and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology 🔍. He regularly attends academic conferences, publishes in reputed journals 📄, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices 🌐.

🔬 Research Focus 

Dr. Yun Zhao’s research primarily revolves around thin film photodetectors 📸 and semiconductor devices ⚡. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies 🌞. He explores emerging materials such as perovskites and nanostructures 🌱 for integration into flexible and wearable electronics 🧤. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems 🔋. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications 🚗📱.

🏆 Awards and Honors 

  • 🎖️ Ph.D. fellowship from the Chinese Academy of Sciences

  • 🏅 Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • 🏆 Recognized for outstanding research contributions in thin film photodetectors

  • 📜 Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cu₂ZnSn(S,Se)₄ 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 Cu₂ZnSn(S,Se)₄ (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 MoSe₂-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 MoSe₂-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 La’s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Ti₃C₂ 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 Ti₃C₂ 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-MoSe₂/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 MoSe₂ 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.

Shirko Faroughi | Engineering | Best Researcher Award

Published on by Physicist Particle

Prof. Shirko Faroughi | Engineering | Best Researcher Award

Academic at Urmia University of Technoloy, Iran

Dr. Shirko Faroughi, an esteemed Professor of Mechanical Engineering at Urmia University of Technology, Iran, specializes in Computational Mechanics, Isogeometric Analysis, and Finite Element Methods. With a Ph.D. from Iran University of Science and Technology, he has held research positions at KTH University (Sweden), Swansea University (UK), and Bauhaus University Weimar (Germany). His work spans fracture mechanics, machine learning, and 3D printing simulations. As a CICOPS Scholar at the University of Pavia, Italy, Dr. Faroughi actively collaborates on international research projects, contributing significantly to advanced numerical methods. 📚🌍

Professional Profile:

Scopus

Google Scholar

Education & Experience 🎓📜

  • Ph.D. in Mechanical Engineering (2010) – Iran University of Science and Technology 🏛️

  • M.S. in Mechanical Engineering (2005) – Iran University of Science and Technology 🏗️

  • B.S. in Mechanical Engineering (2003) – Tabriz University 🚗

🔹 Academic Roles

  • Professor (2020 – Present) – Urmia University of Technology 👨‍🏫

  • Associate Professor (2015 – 2020) – Urmia University of Technology 🔬

  • Assistant Professor (2011 – 2015) – Urmia University of Technology 📖

  • Visiting Researcher (2008 – 2009) – KTH University, Sweden 🇸🇪

🔹 Administrative & International Positions

  • Dean of Mechanical Engineering Department (2022 – Present) 🏢

  • CICOPS Scholar – University of Pavia, Italy (2022) 🇮🇹

  • Research Collaborator – Swansea University, UK (2015 – Present) 🇬🇧

  • Research Collaborator – New Mexico State University, USA (2016 – Present) 🇺🇸

  • Research Collaborator – Bauhaus University Weimar, Germany (2017 – Present) 🇩🇪

Professional Development 🌍📚

Dr. Shirko Faroughi has made remarkable contributions to mechanical engineering through computational mechanics, finite element analysis, and machine learning. His research advances superconvergent mass and stiffness matrices, isogeometric methods, phase-field methods, and energy harvesting. He also integrates AI-driven techniques to enhance engineering simulations. His collaborations span Europe and the U.S., working with top researchers on thin structures, 3D printing, and structural dynamics. As a department dean and international collaborator, he plays a pivotal role in engineering education and research innovations, fostering global academic partnerships. 🌎💡

Research Focus 🔍🧠

Dr. Faroughi’s research primarily revolves around Computational Mechanics and Advanced Numerical Methods, integrating Artificial Intelligence and Machine Learning for engineering applications. His work focuses on:

  • Superconvergent mass and stiffness matrices 📐🔬

  • Isogeometric and finite element methods 🏗️📊

  • Fracture mechanics and phase-field modeling 🏚️💥

  • Tensegrity structures and energy harvesting ⚡🔩

  • Machine learning and transfer learning in mechanical simulations 🤖📈

  • 3D printing simulations and advanced material modeling 🖨️🧩

His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. 🚀🔢

Awards & Honors 🏆🎖️

  • CICOPS Scholarship – University of Pavia, Italy (2022) 🇮🇹

  • Visiting Researcher – KTH University, Sweden (2008-2009) 🇸🇪

  • Research Collaborator – Swansea University, UK (2015-Present) 🇬🇧

  • Research Collaborator – Bauhaus University Weimar, Germany (2017-Present) 🇩🇪

  • Research Collaborator – New Mexico State University, USA (2016-Present) 🇺🇸

  • Dean of Mechanical Engineering Department – Urmia University of Technology (2022-Present) 🏛️

  • Multiple Grants for Advanced Computational Mechanics Research 🎓🔍

Publication Top Notes

  1. Wave Propagation in 2D Functionally Graded Porous Rotating Nano-Beams

    • Authors: S. Faroughi, A. Rahmani, M.I. Friswell

    • Published in Applied Mathematical Modelling (2020)

    • Citations: 71

    • Focus: Investigates wave propagation in porous nano-beams using a general nonlocal higher-order beam theory, considering functionally graded materials and rotation effects.

  2. Vibration of 2D Imperfect Functionally Graded Porous Rotating Nanobeams

    • Authors: A. Rahmani, S. Faroughi, M.I. Friswell

    • Published in Mechanical Systems and Signal Processing (2020)

    • Citations: 54

    • Focus: Examines vibration behavior of imperfect functionally graded porous rotating nanobeams based on a generalized nonlocal theory.

  3. Non-linear Dynamic Analysis of Tensegrity Structures Using a Co-Rotational Method

    • Authors: S. Faroughi, H.H. Khodaparast, M.I. Friswell

    • Published in International Journal of Non-Linear Mechanics (2015)

    • Citations: 47

    • Focus: Develops a co-rotational method for analyzing nonlinear dynamics of tensegrity structures.

  4. Physics-Informed Neural Networks for Solute Transport in Heterogeneous Porous Media

    • Authors: S.A. Faroughi, R. Soltanmohammadi, P. Datta, S.K. Mahjour, S. Faroughi

    • Published in Mathematics (2023)

    • Citations: 40

    • Focus: Uses physics-informed neural networks (PINNs) with periodic activation functions to model solute transport in heterogeneous porous media.

  5. Nonlinear Transient Vibration of Viscoelastic Plates Using a NURBS-Based Isogeometric HSDT Approach

    • Authors: E. Shafei, S. Faroughi, T. Rabczuk

    • Published in Computers & Mathematics with Applications (2021)

    • Citations: 30

    • Focus: Investigates nonlinear transient vibrations of viscoelastic plates using an isogeometric high-order shear deformation theory (HSDT) approach.

Mahmood Shakiba | Engineering | Best Researcher Award

Published on by Physicist Particle

Assist. Prof. Dr. Mahmood Shakiba | Engineering | Best Researcher Award

Faculty member at Ferdowsi University of Mashhad, Iran

Dr. mahmood shakiba 🇮🇷 is an assistant professor at Ferdowsi University of Mashhad, specializing in petroleum engineering with expertise in hydrocarbon reservoirs and enhanced oil recovery (EOR) 🛢️. He earned his Ph.D. from Amirkabir University of Technology (2020) 🎓, focusing on nano-assisted smart water for sand production control. With extensive experience in CO₂ and H₂ underground storage projects, reservoir characterization, and formation damage remediation, he has held key academic and industrial roles. As a researcher and educator, he has contributed significantly to petroleum engineering, guiding students and leading innovative studies in reservoir engineering and geomechanics 🔬📚.

Professional Profile

Scopus

Google Scholar

Education & Experience

Education 🎓

✅ Ph.D. in Petroleum Engineering (Hydrocarbon Reservoirs), Amirkabir University of Technology (2016-2020)

  • Thesis: Nano-assisted smart water for sand production in unconsolidated sandstone reservoirs.

✅ M.Sc. in Petroleum Engineering (Hydrocarbon Reservoirs), Shiraz University (2012-2014)

  • Thesis: Enhanced oil recovery & CO₂ storage via carbonated water injection.

✅ B.Sc. in Petroleum Engineering (Reservoir Engineering), Shiraz University (2008-2012)

  • Thesis: Simulation of solution gas drive in fractured reservoirs.

Work Experience 🛠️

🔹 Assistant Professor – Ferdowsi University of Mashhad (2023-Present)
🔹 Project Supervisor – Underground CO₂ Storage (2023-Present)
🔹 Researcher – Underground H₂ Storage, RIPI (2023-Present)
🔹 Technical Manager – Upstream Oil Research Center, Sharif University (2020-2022)
🔹 Technical Supervisor – MAPSA Co., Tehran (2019-2020)
🔹 Industrial Consultant – MAPSA Co., Tehran (2019-2020)
🔹 Senior Lab Equipment Designer – MAPSA Co., Tehran (2018-2019)
🔹 Researcher – Advanced EOR Research Center, Shiraz University (2011-2014)

Professional Development 🌟

Dr. mahmood shakiba has significantly contributed to petroleum engineering through teaching, research, and industrial consulting 📖🔬. His expertise spans reservoir engineering, well testing, and gas reservoirs 🚀. At Ferdowsi University, he educates students on reservoir management and maintenance, while leading projects on underground CO₂ and H₂ storage. His industry experience includes technical supervision, reservoir characterization, and EOR techniques 🏭. Dr. shakiba has also played a key role in laboratory equipment design and geomechanical feasibility studies. His dedication to advancing sustainable energy storage and petroleum recovery has established him as a leader in the field 🌍💡.

Research Focus 🔬

Dr. shakiba’s research primarily focuses on enhanced oil recovery (EOR), underground storage of CO₂ and H₂, and reservoir geomechanics 🏗️. His experimental and simulation studies have explored innovative methods for improving oil recovery and mitigating environmental impact 🌱. He has investigated nano-assisted smart water flooding, formation damage remediation, and CO₂ sequestration to optimize hydrocarbon reservoir performance. His geological and geomechanical feasibility studies have contributed to safe underground hydrogen storage ⚡. His work advances sustainable energy solutions while improving oil and gas recovery efficiency for the future 🌍🔋.

Awards & Honors 🏆

🏅 Technical Leadership Award – Upstream Oil Research Center, Sharif University
🏅 Outstanding Research Contribution – Research Institute of Petroleum Industry (RIPI)
🏅 Best Thesis Award – Amirkabir University of Technology (2020)
🏅 Top Researcher Recognition – Shiraz University EOR Research Center
🏅 Best Instructor Award – Ferdowsi University of Mashhad (2023)

Publication Top Notes

  1. Investigation of oil recovery and CO₂ storage during secondary and tertiary injection of carbonated water in an Iranian carbonate oil reservoir

    • Journal of Petroleum Science and Engineering (2016)
    • Citations: 79
    • Examines how carbonated water injection (CWI) enhances oil recovery and CO₂ storage efficiency in carbonate reservoirs under secondary and tertiary injection scenarios.

  2. A mechanistic study of smart water injection in the presence of nanoparticles for sand production control in unconsolidated sandstone reservoirs

    • Journal of Molecular Liquids (2020)
    • Citations: 35
    • Investigates how smart water, combined with nanoparticles, helps mitigate sand production in weakly consolidated sandstone reservoirs while improving oil recovery.

  3. The impact of connate water saturation and salinity on oil recovery and CO₂ storage capacity during carbonated water injection in carbonate rock

    • Chinese Journal of Chemical Engineering (2019)
    • Citations: 29
    • Analyzes how variations in connate water saturation and salinity influence oil displacement efficiency and CO₂ trapping during CWI in carbonate formations.

  4. Effects of type and distribution of clay minerals on the physico-chemical and geomechanical properties of engineered porous rocks

    • Scientific Reports (2023)
    • Citations: 21* (recently published)
    • Studies how different clay minerals affect the structural integrity and chemical behavior of engineered porous rocks, impacting reservoir performance.

  5. An experimental insight into the influence of sand grain size distribution on the petrophysical and geomechanical properties of artificially made sandstones

    • Journal of Petroleum Science and Engineering (2022)
    • Citations: 15
    • Explores the role of sand grain size variations in determining the permeability, porosity, and mechanical strength of artificial sandstone samples.

Zhou Zhiwu | Engineering | Best Researcher Award

Published on by Physicist Particle

Assoc. Prof. Dr. Zhou Zhiwu | Engineering | Best Researcher Award

School of Civil and Environmental Engineering at Hunan University of Science and Engineering, China

Zhou zhiwu, a senior engineer and registered tester, is an associate professor and master’s supervisor at hunan university of science and engineering. he earned his ph.d. in transportation infrastructure and territory from the polytechnic university of valencia (🇪🇸) with top honors, including the UPV Outstanding Doctorate and the 2023 Spanish Outstanding Doctoral Award 🏆. with 15 years in national engineering projects, he has led major constructions, published 28 research papers 📄, and serves as a reviewer for 20 SCI journals. his expertise spans (ancient) bridge monitoring, high-speed railway track optimization, and sustainable structural design.

Professional Profile

Orcid

Scopus

Google Scholar

Education & Experience 🎓👷‍♂️

📚 Education:

  • 🎓 Bachelor’s in Architectural Engineering – Lanzhou Jiaotong University (2000-2004)
  • 🎓 Master’s in Transportation Engineering – Lanzhou Jiaotong University (2013-2016)
  • 🎓 Ph.D. in Transport Infrastructure & Territory – Polytechnic University of Valencia, Spain (2019-2023) 🏅

💼 Work Experience:

  • 🏗 Project Manager – China Railway 15th Bureau Group (2002-2017)
  • 🏢 Chief Engineer – Xinjiang Highway Science & Technology Research Institute (2017-2018)
  • 📖 Full-time Teacher & Leader – Chongqing Public Vocational Transport College (2018-2019)
  • 🔬 Doctor & Associate Researcher – Polytechnic University of Valencia, Spain (2019-2023)
  • 🎓 Associate Professor & Master Supervisor – Hunan University of Science and Engineering (2023-Present)

Professional Development 🚀🔬

Zhou zhiwu is a multidisciplinary researcher and engineer specializing in transportation infrastructure, structural health monitoring, and sustainable development. with over 15 years of experience in large-scale construction projects 🏗, he has contributed to high-speed railways 🚄, highways 🛣, and industrial buildings 🏢. he has led and participated in 11 international and national research projects, collaborated with top institutions, and published extensively in SCI-indexed journals 📚. in addition to research, he is a dedicated educator 📖 and serves as an editorial board member for the American Journal of Environmental Science and Engineering, actively reviewing 148+ research articles.

Research Focus 🔍🏗

Zhou zhiwu’s research lies in transportation engineering, structural monitoring, and sustainable infrastructure:

  • 🏛 (Ancient) Bridge & Building Health Monitoring – Studying structural integrity & durability
  • 🌱 Sustainable Infrastructure – Coupling optimization for large-scale structures
  • 🚄 High-Speed Railway Track Optimization – Preventing track diseases & enhancing efficiency
  • 🏗 Indeterminate Structural Design – Improving extra-large bridge sustainability
  • 🔬 Engineering Project Management – Enhancing efficiency in large-scale construction

his work integrates modern monitoring techniques 📡, advanced materials 🏗, and sustainable engineering 🌱 to enhance long-term infrastructure performance.

Awards & Honors 🏆🎖

  • 🏅 UPV Outstanding Doctorate Award – Polytechnic University of Valencia, Spain
  • 🏆 2023 Spanish Outstanding Doctoral Award – Top honor for doctoral research
  • 🏗 National Engineering Construction Quality Management Award (First Class)
  • 🏆 First-Class Science & Technology Award – China Railway Construction Corporation
  • 🏅 Provincial & Ministerial-Level Awards – Henan Province (Two awards)
  • 🏆 China Civil Engineering Society “National Second Prize”
  • 🎖 Reviewer for 20 SCI Journals – Reviewed 148+ articles

Publication Top Notes

  1. Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil

    • Journal of Building Engineering, 2025.
    • DOI: 10.1016/j.jobe.2024.111636
    • Citation (APA):
      Author(s). (2025). Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil. Journal of Building Engineering, XX, 111636.

  2. Three-dimensional finite element-coupled optimisation assessment of extra-large bridges

    • Structures, 2024.
    • DOI: 10.1016/j.istruc.2024.107743
    • Citation (APA):
      Author(s). (2024). Three-dimensional finite element-coupled optimisation assessment of extra-large bridges. Structures, XX, 107743.

  3. Research on coupling optimization of carbon emissions and carbon leakage in international construction projects

    • Scientific Reports, 2024.
    • DOI: 10.1038/s41598-024-59531-4
    • Citation (APA):
      Zhou, Z. (2024). Research on coupling optimization of carbon emissions and carbon leakage in international construction projects. Scientific Reports, XX, 59531. Building the future: Smart concrete as a key element in next-generation construction
    • Construction and Building Materials, 2024.
    • DOI: 10.1016/j.conbuildmat.2024.136364
    • Citation (APA):
      Zhou, Z. (2024). Building the future: Smart concrete as a key element in next-generation construction. Construction and Building Materials, XX, 136364.

  4. The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model

    • Sustainable Cities and Society, 2024.
    • DOI: 10.1016/j.scs.2024.105201
    • Citation (APA):
      Author(s). (2024). The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model. Sustainable Cities and Society, XX, 105201.

Shakil Ahmed | Engineering | Best Researcher Award

Published on by Physicist Particle

Prof. Shakil Ahmed | Engineering | Best Researcher Award

Assistant Processor, Term at Iowa State University, United States

Shakil Ahmed is an Assistant Teaching Professor in Computer Engineering at Iowa State University (ISU), specializing in AI/ML, cybersecurity, IoT, cloud computing, and advanced networking. With a Ph.D. in Computer Engineering from ISU (2023) and over 2,000 citations across 35+ publications, he leads cutting-edge research on AI-driven solutions, digital twins, and quantum networks. As a principal investigator (PI), he mentors undergraduate, MS, and Ph.D. students while actively securing external grants. His expertise spans reinforcement learning, large language models, explainable AI, and meta-learning, contributing to pioneering advancements in next-gen networking and intelligent systems. 🚀🔍

Professional Profile

Education & Experience 📚👨‍🏫

  • Ph.D. in Computer Engineering – Iowa State University (2023) 🎓
  • M.S. in Electrical Engineering – Utah State University (2019) ⚡
  • B.S. in Electrical and Electronic Engineering – Khulna University of Engineering & Technology, Bangladesh (2014) 🏅
  • Assistant Teaching Professor – Iowa State University (2024–Present) 🎓
  • Researcher & PI – Leading projects on AI, 6G, cybersecurity, IoT, and digital twins 🔬
  • Advisor & Mentor – Supervising undergraduate, MS, and Ph.D. students in advanced networking and AI 🧑‍🎓

Professional Development 📈🧠

Shakil Ahmed actively contributes to AI-driven networking, secure systems, and IoT advancements. He plays a vital role in research funding, securing grants exceeding millions of dollars. As a guest editor at MDPI and reviewer for 150+ articles, he ensures high research standards. His teaching experience spans multiple STEM courses, where he integrates hands-on learning tools like Zybooks and Canvas. He has delivered invited talks on next-gen wireless technologies and collaborates with multidisciplinary teams to shape the future of AI, cloud computing, and quantum networking. His work has significantly impacted academia, research, and industry. 🚀🔬📡

Research Focus 🏆🔍

Shakil Ahmed’s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

  • AI/ML & Deep Learning – Reinforcement Learning (RL), Large Language Models (LLM), Explainable AI (XAI) 🤖
  • Cybersecurity & Quantum Networking – Secure network protocols, quantum neural networks (QNN) 🔒
  • IoT & Cloud Computing – System design for connected environments, mobile edge computing ☁️
  • Digital Twin & 6G+ Networks – AI-driven tactile internet, smart infrastructure, and futuristic networking 🌍📡
    His work integrates cutting-edge AI techniques, optimization frameworks, and network simulations to solve real-world challenges.

Awards & Honors 🏅🎖️

  • Professional Development Fund – Iowa State University ($10,000) 💰
  • Presidential Fellowship – Utah State University ($90,000) 🏆
  • Best Paper Award – IEEE International Conference on Informatics, Electronics, and Vision (2016) 🥇
  • Graduate & Professional Student Senate Research Award – ISU ($700) 📜
  • ECpE Department Support Grant – ISU ($600) 🎓
  • Professional Advancement Grant (PAG) – ISU ($400) 🎖️
  • Military Communications Conference Student Travel Grants – 2021 & 2022 ($1,000) ✈️
  • Graduate & Professional Student Council Grant – ISU ($750) 🏅
  • ECE Department Support Grant – Utah State University ($1,000) 🏆

Publication Top Notes

  1. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

    • Authors: Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang
    • Journal: IEEE Open Journal of the Communications Society
    • Year: 2020
    • Citation: Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957–975.

  2. Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Access
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks. IEEE Access, 8, 21215–21225.

  3. Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Communications Letters
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV Relaying Communications to Serve Ground Nodes. IEEE Communications Letters, 24(4), 849–852.

  4. Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT

    • Authors: Hao Sun, Qiang Wang, Shakil Ahmed, Rose Hu
    • Conference: IEEE Vehicular Technology Conference (VTC Spring)
    • Year: 2017
    • Citation: Sun, H., Wang, Q., Ahmed, S., & Hu, R. (2017). Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1–5).

  5. A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology

    • Authors: Shakil Ahmed, Md Rashid, Farzana Alam, B. Fakhruddin
    • Conference: 2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
    • Year: 2019
    • Citation: Ahmed, S., Rashid, M., Alam, F., & Fakhruddin, B. (2019). A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology. In 2019 29th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 20–25).

 

Shengnan Zhang | Engineering | Best Researcher Award

Published on by Physicist Particle

Dr. Shengnan Zhang | Engineering | Best Researcher Award

None  at School of Mechatronic Engineering and Automation, Shanghai University

Short Bio

  • shengnan zhang is a Ph.D. researcher at Shanghai University specializing in electromagnetic flowmeters, signal processing, and mathematical modeling for industrial processes. With experience in engineering and automation, she integrates theoretical and applied research to enhance industrial measurement accuracy and efficiency.

Professional Profile

Educational Background

  • shengnan zhang is currently pursuing a Ph.D. in the School of Mechatronic Engineering and Automation at Shanghai University (2021–2024). She earned her master’s degree in Control Science and Engineering (Automation) from Inner Mongolia University of Science and Technology in 2020.

Professional Experience

  • shengnan zhang has gained diverse experience in both industry and academia. She worked as a junior engineer in the Mechanical and Electrical Department at State Grid Xinyuan Chifeng Company, Inner Mongolia (2020–2021). She later transitioned into roles as a Hardware R&D Engineer at JiDan Biotechnology Co., Ltd. and a High School Mathematics Teacher at Nanjing Yunjushi Education Co., Ltd. in 2021.

Research Interests

    • Her research focuses on electromagnetic flowmeters, signal processing, and mathematical modeling of complex industrial processes. She is particularly interested in developing advanced computational techniques for industrial automation and measurement systems.

Author Metrics

  • Currently, shengnan zhang is actively engaged in research and has contributed to scholarly publications in her field. Her work includes studies on signal processing applications in industrial automation and measurement technologies.

Publication Top Noted

  • Study on the Match-Filtering Ability of the Electromagnetic Flowmeter Signals Based on the Generalized Dual-Frequency Walsh Transform
    Flow Measurement and Instrumentation, March 2025
    DOI: 10.1016/j.flowmeasinst.2024.102767
  • Generalized Walsh Transform Sequency-Domain-Based Match Filtering for Electromagnetic Flowmeter Signal Measurement
    IEEE Sensors Journal, April 2024
    DOI: 10.1109/JSEN.2024.3366238
  • A Sequency Match Filtering Algorithm Based on the Generalized Walsh Transform for Processing Rectangular Wave Signals
    Review of Scientific Instruments, February 2024
    DOI: 10.1063/5.0175079
  • Study on Match Filtering Based on Sequency Spectrum Characteristics of the Walsh Transform for Electromagnetic Flowmeter Signal Measurement
    Measurement, February 2024
    DOI: 10.1016/j.measurement.2023.114021

Conclusion

  • Dr. shengnan zhang is a highly qualified researcher with notable contributions to signal processing and industrial measurement systems. Her innovative approaches using Generalized Walsh Transform have the potential to improve electromagnetic flowmeter accuracy significantly. With further collaboration, higher citation impact, and real-world application of her research, she would be an excellent candidate for the Best Researcher Award.

Simona Svozilová | Engineering | Best Researcher Award

Published on by Physicist Particle

Ms. Simona Svozilová | Engineering | Best Researcher Award

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

Simona Svozilová 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

Orcid  Profile

Educational Detail

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

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

Graduation Certificate
Gymnázium Plzeň, Pilsen, Czechia (08/2013 – 05/2017)

Field of Study: Natural Sciences, Mathematics, and Statistics

Professional Experience

Research Assistant
Regional Technological Institute – University of West Bohemia, Pilsen, Czechia (07/2021 – 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) – 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 Svozilová

Ivana Zetková

Juan Felipe Santa Marín

Jesús Arturo Torres Garay

Citation Details:

Materials, Volume 17, Issue 24, Article 6184

DOI: 10.3390/ma17246184

Conclusion

Ms. Simona Svozilová 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.