Jianzhi Li | Fiber sensing | Best Researcher Award

Posted on 23/09/202423/09/2024 by ScienceFather

Prof. Jianzhi Li | Fiber sensing | Best Researcher Award

professor at Shijiazhuang Tiedao University, china

Jianzhi Li is a Professor at the Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University, specializing in fiber sensing technology and structural health monitoring. 🌉 She earned her Ph.D. from Beijing Jiaotong University and later held an academic post at Osaka University, Japan. 🚄 Her work focuses on enhancing railway infrastructure safety through innovative sensing techniques. 📚 Jianzhi has published numerous SCI papers and authored several books. 🚀 Her groundbreaking contributions in the field have earned her multiple awards, cementing her status as a leading researcher in fiber optics and structural health.

Publication Profile

orcid

Education 🎓

Jianzhi Li earned her Ph.D. in Structural Diagnosis and Optimization from Beijing Jiaotong University in 2009. 📚 Her doctoral studies focused on identifying and solving complex structural challenges in engineering. 🌏 She further broadened her academic horizons by serving as an Associate Professor at Osaka University in Japan between 2014 and 2015. 🏛️ This role allowed her to collaborate internationally and enhance her expertise in fiber optic sensing technology. ✨ Throughout her education, she gained deep insights into the intersections of structural health and smart material technologies, which now form the cornerstone of her research endeavors.

Experience 🏢

Jianzhi Li currently serves as a Professor at Shijiazhuang Tiedao University’s Key Laboratory of Structural Health Monitoring and Control. 🚇 She has led several high-impact projects, particularly in fiber optic sensing and structural health monitoring for railways and bridges. 🌉 During 2014–2015, she was an Associate Professor at Osaka University, contributing to international collaborations. 📊 With over 20 patents to her name and numerous published works in prestigious journals, her experience spans industry-relevant research and cutting-edge academic advancements. 💼 She also leads the China National Key Research and Development Program, contributing to the enhancement of railway infrastructure safety.

Awards and Honors 🏆

Jianzhi Li has received numerous awards, including the First Prize for Technological Invention in Hebei Province. 🌟 She was recognized with the “Best Paper” award at the 6th International Conference on Optoelectronic Sensing. 🎖️ Her outstanding research contributions have earned her prestigious honors such as the Hebei Outstanding Youth Talent Award and a place in the Hebei 333 Talent Program. 📜 She has authored three books, including an internationally recognized English-language textbook, and her innovative work in fiber sensing and structural health has placed her among the top researchers in China. 🌍 Her membership in the Chinese Optical Society and other professional groups reflects her impact on the scientific community.

Research Focus🔬

Jianzhi Li’s research is centered on fiber optic sensing technologies and structural health monitoring. 🚇 Her work addresses critical infrastructure challenges, including heavy-duty railway bridges and roadbeds. 🔧 She has been instrumental in advancing fiber-based sensing systems for monitoring railway hazards and enhancing safety through predictive detection. 🛰️ Her research extends to smart materials and their applications in dynamic environments, focusing on the early detection of structural anomalies. 🚀 Jianzhi’s contributions are practical and forward-looking, pushing the boundaries of electromagnetic and optical sensing in engineering, leading to the development of more robust and resilient civil structures.

Publication Top Notes

Evaluation of Concrete Carbonation Based on a Fiber Bragg Grating Sensor
📅 Published: December 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi15010029
Contributors: Jianzhi Li, Haiqun Yang, Handong Wu

This paper introduces a novel approach for monitoring concrete carbonation using Fiber Bragg Grating (FBG) sensors, a crucial method for assessing structural durability.

A Long-Term Monitoring Method of Corrosion Damage of Prestressed Anchor Cable
📅 Published: March 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi14040799
Contributors: Jianzhi Li, Chen Wang, Yiyao Zhao

This research presents a long-term monitoring technique for detecting corrosion in prestressed anchor cables, improving infrastructure safety and longevity.

A Combined Positioning Method Used for Identification of Concrete Cracks
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121479
Contributors: Jianzhi Li, Bohao Shen, Junjie Wang

This paper discusses a hybrid method for accurately identifying concrete cracks, advancing structural health monitoring.

A Spiral Distributed Monitoring Method for Steel Rebar Corrosion
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121451
Contributors: Jianzhi Li, Yiyao Zhao, Junjie Wang

Conclusion

Professor Jianzhi Li stands out as a strong candidate for the Best Researcher Award due to her exemplary research contributions, innovative spirit, and recognized leadership in the field of fiber sensing and structural health monitoring. Her achievements reflect not only her commitment to advancing science and technology but also her potential to further influence the field. With targeted improvements in professional engagement and industry collaboration, she could amplify her impact even more.

Di Lan | Microwave absorption | Best Researcher Award

Posted on 23/09/202423/09/2024 by ScienceFather

Dr. Di Lan | Microwave absorption | Best Researcher Award

Associate professor at Hubei University of Automotive Technology, china

Lan Di, born in Shiyan, Hubei on November 4, 1994, is a lecturer at the Hubei University of Automotive Technology. He holds a PhD in Materials Science from Northwestern Polytechnical University. His research revolves around specialty engineering plastics, polyimide adhesives, and wave-absorbing materials, with notable applications in the military sector. With over 48 SCI papers published, Lan Di has established himself as a prominent figure in his field, earning recognition in Stanford University’s Top 2% Global Scientists list in 2022 and 2023.

Publication Profile

Scholar

Education🎓

Bachelor’s Degree (2012-2016) in Polymer Science and Engineering from Hubei University Master’s Student (2016-2019) in Materials Science at Northwestern Polytechnical University. Doctoral Candidate (2019-2022) in Materials Science at Northwestern Polytechnical University. Throughout his academic career, Lan focused on high-temperature adhesives and wave-absorbing materials, publishing extensively in renowned scientific journals and earning over 2,200 citations on Google Scholar.

Experience🧑‍🏫

Lecturer (2023-present) at the Polymer Department, Hubei University of Automotive Technology, where Lan teaches and continues his cutting-edge research in polymer materials and high-temperature adhesives. Doctoral Candidate (2019-2022) at Northwestern Polytechnical University, where he published 48 SCI papers and worked on groundbreaking research in wave-absorbing materials and high-entropy alloys aster’s Student (2016-2019) focused on the study of engineering plastics and modified PTFE gaskets for military applications.

Awards and Honors🔬

Global Top 2% Scientist (2022, 2023) by Stanford University for outstanding contributions in polymer materials research. First Prize for the Most Influential Paper Award from the Chinese Physical Society in 2021. Highly cited researcher with 4 ESI Hot Papers and 8 highly cited ESI papers. Filed three patent applications in the field of polyimide adhesives and wave-absorbing materials.

Research Focus🔬

Specialty Engineering Plastics: Focus on polyimide high-temperature adhesives and modified PTFE gaskets used in military engines and motor seals. High-Temperature Adhesives: Developing polyimide adhesives for high-energy motor rotors. Wave-Absorbing Materials: Expertise in high-entropy alloys and ceramics, leading projects on polymer-based wave-absorbing materials. Published extensively in SCI journals, contributing to innovations in military and industrial applications of polymers.

Publication Top Notes

Facile synthesis of hierarchical chrysanthemum-like copper cobaltate-copper oxide composites for enhanced microwave absorption performance
📖 Journal of Colloid and Interface Science, 533, 481-491 (2019), 211 citations
Co-authors: M Qin, R Yang, S Chen, H Wu, Y Fan, Q Fu, F Zhang.

Novel binary cobalt nickel oxide hollowed-out spheres for electromagnetic absorption applications
📖 Chemical Engineering Journal, 382, 122797 (2020), 205 citations
Co-authors: M Qin, J Liu, G Wu, Y Zhang, H Wu.

Progress in low-frequency microwave absorbing materials
📖 Journal of Materials Science: Materials in Electronics, 29, 17122-17136 (2018), 201 citations
Co-authors: Z Jia, K Lin, M Qin, K Kou, G Wu, H Wu.

Simultaneous manipulation of interfacial and defects polarization toward Zn/Co phase and ion hybrids for electromagnetic wave absorption
📖 Advanced Functional Materials, 31(50), 2106677 (2021), 194 citations
Co-authors: Z Gao, L Zhang, H Wu.

Synergistic Polarization Loss of MoS2-Based Multiphase Solid Solution for Electromagnetic Wave Absorption
📖 Advanced Functional Materials, 32(18), 2112294 (2022), 167 citations
Co-authors: Z Gao, Z Ma, Z Zhao, L Zhang, H Wu, Y Hou.

Conclusion

Lan Di is an exceptionally qualified candidate for the Best Researcher Award, with a strong track record in high-impact publications, patent filings, and leadership roles within the scientific community. His specialized focus on high-entropy alloys, specialty engineering plastics, and wave-absorbing materials places him at the forefront of critical fields in materials science. While there are opportunities to broaden his impact through further industry collaborations and interdisciplinary research, his current accomplishments make him highly deserving of this award.

Mr. Ismail ELABBASSI | Applied physics and engineering sciences | Best Researcher Award | 3233

Posted on 29/08/202429/08/2024 by ScienceFather

Mr. Ismail ELABBASSI | Applied physics and engineering sciences | Best Researcher Award

Mr. Moulay Ismail University, Morocco

Elabbassi Ismail is a Doctoral student and Professor in Physical Sciences and Chemistry at the Faculty of Sciences and Technology, Errachidia, Morocco. With a Master’s degree in Solar Technologies and Sustainable Development, he is currently pursuing a Ph.D. in Science and Technology. His research focuses on hybrid storage systems, energy management strategies, microgrid stability, green hydrogen, fuel cell technologies, artificial intelligence, and IoT. Elabbassi has extensive teaching experience and has presented at international conferences. He is proficient in MATLAB/SIMULINK, AutoCAD, and various energy modeling tools. His diverse expertise spans academic research, energy systems, and technical training.

Professional Profiles:

Scopus

Elabbassi Ismail: Doctorant

Profil Elabbassi Ismail est doctorant et professeur en sciences physiques et chimiques à la Faculté des Sciences et Techniques d’Errachidia, Maroc. Titulaire d’un Master en Technologies Solaires et Développement Durable de l’Université Moulay Ismail de Meknès, il prépare actuellement un doctorat en sciences et techniques. Ses recherches portent sur la modélisation des systèmes de stockage hybrides, la gestion de l’énergie, la stabilité des micro-réseaux, l’hydrogène vert, les technologies de véhicules à pile à hydrogène, l’intelligence artificielle et l’internet des objets. 🌍🔬

Compétences

Communication : Écriture en français et en anglais 📝Outils : MATLAB/SIMULINK, AutoCAD, Caneco BT, Rhapsodie, PVsys, Trnsys, Méteonorm ⚙️Enseignement : Cours, travaux pratiques, et dirigés 📚Modélisation et Automatisation : Projets en énergie photovoltaïque, Arduino 🤖Rédaction Scientifique : Articles, rapportsCentres d’IntérêtSport 🏅Lecture de la littérature scientifique 📖Enseignement 👨‍🏫Voyage ✈️

Expérience Professionnelle

Conférences :IEEE International Conference on Circuit, Systems and Communication, 2024 📊International Conference on Artificial Intelligence in Cybersecurity and Sustainability, 2024 🤖International Conference on Electrical Systems & Automation, 2024 🔋International Conference on Artificial Intelligence and Smart Environment, 2022 🌟Enseignement :Cours de circuits électriques et électroniques, thermodynamique, algorithmique 💡

Evaluation for Researcher Award

Strengths for the Award

Diverse Research Focus: Elabbassi Ismail has a wide range of research interests, including hybrid storage systems, energy management strategies, green hydrogen, fuel cell technologies, and the integration of AI and IoT. This breadth of focus demonstrates a comprehensive understanding of contemporary issues in applied physics and engineering sciences.
Relevant Publications and Conferences: Ismail’s recent participation in high-profile conferences and contributions to scholarly papers reflect a commitment to advancing knowledge in his field. His presentations on topics such as neural networks for power management, machine learning for energy storage, and advanced fault detection showcase his expertise and active engagement in cutting-edge research.
Advanced Technical Skills: His proficiency in tools such as MATLAB/SIMULINK, AutoCAD, and various energy modeling software highlights his technical capabilities. This skill set is crucial for developing and implementing innovative solutions in applied physics and engineering.
Teaching and Mentorship: Ismail’s experience as a professor and involvement in teaching practical modules demonstrate his dedication to education and mentoring. His ability to convey complex concepts and guide students and projects adds significant value to his research profile.
Professional Training and Certifications: His continued education through various training programs in MATLAB, Python, and other relevant areas shows a commitment to staying updated with the latest tools and techniques in his field.

Areas for Improvement

Publication Impact: While Ismail has presented at several conferences and contributed to various papers, there is a need for more high-impact journal publications to further establish his research influence and reach a broader audience.
Interdisciplinary Collaboration: Expanding collaborations with researchers from different disciplines could enhance the scope and impact of his research. Engaging with experts in complementary fields might lead to novel insights and more comprehensive solutions.
Research Visibility: Increasing the visibility of his research through open-access publications or broader dissemination of findings could help in gaining wider recognition and citations.
Project Management: Strengthening skills in project management and leadership could help in effectively managing larger research projects and securing funding for innovative research initiatives.

✍️Publications Top Note :

Evaluating and Comparing Machine Learning Approaches for Effective Decision Making in Renewable Microgrid Systems
Authors: Elabbassi, I., Khala, M., Elyanboiy, N., Eloutassi, O., El Hassouani, Y.
Journal: Results in Engineering, 2024, 21, 101888
Abstract: This study evaluates and compares various machine learning techniques for decision-making in renewable microgrid systems.
Citations: 5

Enhancing Surface Defect Detection in Solar Panels with AI-Driven VGG Models
Authors: Yanboiy, N.E., Khala, M., Elabbassi, I., Hassouani, Y.E., Messaoudi, C.
Journal: Data and Metadata, 2023, 2, 81
Abstract: The article discusses improvements in detecting surface defects in solar panels using VGG models driven by artificial intelligence.
Citations: 1

Conference Papers:

Neural Network for FCEVs and RM Power Management using V2G Technology
Authors: Elabbassi, I., Khala, M., El Yanboiy, N., Eloutassi, O., El Hassouani, Y.
Conference: International Conference on Circuit, Systems and Communication (ICCSC), 2024
Abstract: This paper explores the use of neural networks for managing power in Fuel Cell Electric Vehicles (FCEVs) and Renewable Microgrid (RM) systems using Vehicle-to-Grid (V2G) technology.
Citations: 0

Improving Solar Energy Monitoring: Advanced Deep Learning Predictive Model for Photovoltaic Power Generation
Authors: Khala, M., El Yanboiy, N., Elabbassi, I., El Hassouani, Y., Messaoudi, C.
Conference: International Conference on Circuit, Systems and Communication (ICCSC), 2024
Abstract: This conference paper presents an advanced deep learning model for predicting photovoltaic power generation.
Citations: 0

Advanced Intelligent Fault Detection for Solar Panels: Incorporation of Dust Coverage Ratio Calculation
Authors: Elyanboiy, N., Eloutassi, O., Khala, M., El Hassouani, Y., Messaoudi, C.
Conference: 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2024
Abstract: The paper details a method for fault detection in solar panels by incorporating dust coverage ratio calculations.
Citations: 0

Comparative Study of Machine Learning for Managing EV Energy Storage with Battery-Hydrogen Tank
Authors: Elabbassi, I., Elyanboiy, N., Khala, M., Eloutassi, O., Messaoudi, C.
Conference: Advances in Science, Technology and Innovation, 2024, pp. 215–221
Abstract: This paper provides a comparative study of machine learning techniques for managing energy storage in electric vehicles with battery-hydrogen tank systems.
Citations: 0

Adaptive Neural Fuzzy Inference System (ANFIS) in a Grid Connected-Fuel Cell-Electrolyser-Solar PV-Battery-Super Capacitor Energy Storage System Management
Authors: Elabbassi, I., Elyanboiy, N., Khala, M., Layti, M.B.M., Messaoudi, C.
Conference: Lecture Notes in Networks and Systems, 2023, 635 LNNS, pp. 138–143
Abstract: This conference paper discusses the use of Adaptive Neural Fuzzy Inference Systems (ANFIS) for managing energy storage systems that combine fuel cells, electrolyzers, solar PV, batteries, and super capacitors.
Citations: 2

IoT-Based Intelligent System of Real-Time Data Acquisition and Transmission for Solar Photovoltaic Features
Authors: Elyanboiy, N., Khala, M., Elabbassi, I., Eloutassi, O., Messaoudi, C.
Conference: Lecture Notes in Networks and Systems, 2023, 635 LNNS, pp. 559–565
Abstract: This paper presents an IoT-based intelligent system for real-time data acquisition and transmission related to solar photovoltaic systems.
Citations: 1

Conclusion

Elabbassi Ismail exhibits many strengths that make him a strong candidate for the Researcher Award. His diverse research interests, technical expertise, and dedication to teaching and continuous learning highlight his significant contributions to the fields of applied physics and engineering sciences. Addressing areas for improvement, such as increasing publication impact and expanding interdisciplinary collaborations, could further enhance his profile and influence. Overall, his achievements and ongoing efforts position him well for recognition in this prestigious award.

Prof. Luca Collini | Metamaterials | Best Researcher Award

Posted on 29/01/2024 by ScienceFather

Prof. Luca Collini | Metamaterials | Best Researcher Award

Prof. Luca Collini,University of Parma, Italy

Prof. Luca Collini is distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

ORCID

Scopus

Google scholar

Dr. Luca Collini

🎓 Born in 1975, Dr. Luca Collini is an Associate Professor at the University of Parma, Italy, since 2014. He holds a degree in Mechanical Engineering (2000) and earned his Ph.D. in Industrial Engineering (2004), focusing on the micromechanical modeling of nodular cast iron.

🔬 Research Activity:

Dr. Collini’s expertise lies in the mechanical behavior of materials, emphasizing fatigue, fracture strength, micromechanics simulation, and nondestructive techniques using mechanical vibrations. He has authored approximately 150 papers, with 40 in international journals.

👨‍🏫 Teaching Activity:

He currently teaches Industrial Design and Mechanics of Materials and Structural Integrity, showcasing dedication to educating future engineers.

🌍 International Collaboration:

As the coordinator of the Erasmus+ KA1 Exchange program with the Russian Federation, Dr. Collini fosters global academic connections.

📚 Scientific Contributions:

He serves as an expert for the Italian Ministry of Education, reviewing international journals and being a member of the Editorial Board of Fracture and Structural Integrity.

🏆 Awards:

Recognized for his contributions, Dr. Collini received the Best Paper Award in the Journal of Strain Analysis for Engineering Design in 2013 and the 2014 Best Paper Award in Case Studies in Non-destructive Testing and Evaluation.

📖 Relevant Publications:

Dr. Collini has made impactful contributions to various fields, including additive manufacturing, shape memory alloy composites, nondestructive testing, and modal analysis.

This versatile researcher and educator significantly contribute to the advancement of materials science, leaving a lasting impact on academia and industry alike. 🌟

📊 Citation Metrics (Google Scholar):

Citations by: All – 1442, Since 2018 – 782

h-index: All – 19, Since 2018 – 14

i10 index: All – 35, Since 2018 – 24

📖 Publications Top Note :

Microstructure and mechanical properties of pearlitic gray cast iron paper publication in 2006 cite by 277

Design and additive manufacturing of closed cells from supportless lattice structure paper publication in 2020 cite by 99

Estimation of tensile force in tie-rods using a frequency-based identification method paper publication in 2010 cite by 83

Analysis of crack propagation resistance of Al–Al2O3 particulate-reinforced composite friction stir welded butt joints paper publication in 2009 cite by 69

Copper Alloys: Early Applications and Current Performance-Enhancing Processes paper publication in 2012 cite by 65

Influence of casting defects on fatigue crack initiation and fatigue limit of ductile cast irons paper publication in 2011 cite by 56

Fatigue crack growth resistance of ECAPed ultrafine-grained copper paper publication in 2010 cite by 51

A methodology for the fatigue design of notched castings in gray cast iron paper publication in 2007 cite by 48

Determination of the relationship between microstructure and constitutive behaviour of nodular cast iron with a unit cell model paper publication in 2005 cite by 45

Oscillations control of rocking-block-type buildings by the addition of a tuned pendulum paper publication in 2016 cite by 36

Mr. Hassan Naseri Gheisanab | Phased array antenna | Best Researcher Award

Posted on 27/01/2024 by ScienceFather

Mr. Hassan Naseri Gheisanab | Phased array antenna | Best Researcher Award

Mr. Hassan Naseri Gheisanab, Institut national de la recherche scientifique (INRS), Canada

Mr. Hassan Naseri Gheisanab Arzideh distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

ORCID

Scopus

Google scholar

RESEARCH INTERESTS 🌐

Integration/Co-design of passive and tunable/reconfigurable RF circuit blocks such as filters, amplifiers, mixers, and antennas.Impedance matching circuits in RF systems.Active/passive microwave components such as power dividers and couplers.Phased array antennas for beamforming applications.Orbital Angular Momentum (OAM) antenna design for increasing the channel capacity of wireless systems.Multiple-Input-Multiple-Output (MIMO) antenna design for high-data-rate communication.Active and passive transmitarray and reflectarrays.

RESEARCH EXPERIENCE 🧪

Graduate Research Assistant
Institut National de la Recherche Scientifique (INRS), Canada

Research: Reconfigurable OAM antennas for smart OAM communication systems.Contributing to research grant proposals.Research: SIW self-multiplexing antenna systems leading to diplexer-free wireless systems.Co-supervisor: Master students.

Antenna/RF Lab Engineer
University of Tabriz, Iran

Advisor: Microwave components (Filters, Couplers, Power dividers, Power amplifiers, etc.) design, fabrication, and measurement.Teacher: RF-simulator tools such as HFSS, CST, and ADS, and measurement devices like network analyzer, signal generator, and anechoic chamber.Final Year Projects: Assisting students in final year projects.

Research Assistant
University of Tabriz, IranResearch: Microwave passive components modeling.Research: Phased array antennas and antenna feeds (Butler Matrix, Nolen Matrix, etc.)

EDUCATION 🎓

Doctor of Philosophy (Ph.D.) in Telecommunication
University of Quebec, INRS–EMT, Canada
Thesis Title: OAM-generating antennas for increasing the channel capacity of wireless systems
Supervisor: Prof. Tayeb A. Denidini

Master of Science in Electrical Engineering, Fields and Waves
University of Tabriz, Iran (CGPA: 3.84/4.00)
Thesis Title: Microwave passive components modeling and characterization

Bachelor of Science in Electrical Engineering, Communication
University of Tabriz, Iran (CGPA: 3.14/4.00)
Focus: RC4 coding in MATLAB and C++

FUNDED PROJECTS 💰

(April 2023–March 2027) “OAM generating antenna systems for autonomous vehicles” Fonds de Recherche du Québec Nature et technologies (FRQNT), CAD 84000; Role: Principal Investigator.

MEMBERSHIPS, AWARDS & ACHIEVEMENTS 🏆

Memberships Member of IEEE (Since 2021), Member of IEEE Antennas & Propagation Society (APS) Member of Telecommunications Program Self-Assessment Committee at Université du Québec, INRS-EMT (March 2023-now). Member of Occupational Health and Safety Committee (OHSC) at Université du Québec, INRS-EMT (December 2022-now).

Awards & Achievements

Received Fonds de Recherche du Quebec Nature and Technologies (FRQNT) scholarship (Summer 2023-2027). Received Student Travel Grant from IEEE organization for the AP-S conference held in Denver, U.S (2022, July 10-15). Member of Talent Organization at the University of Tabriz, Iran (2018 – 2020). Received a scholarship from Université du Québec, INRS-EMT, covering the tuition fees (Sep 2021). Received funds as a research assistant (PhD) covering living expenses from Université du Québec, INRS-EMT (Sep 2021). Ranked 1st among all M.Sc. students of Field and Wave Engineering, University of Tabriz, Iran (2017 – 2020).