Mohammad Divandari | Electronic Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Divandari | Electronic Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Divandari, Islamic Azad University, Iran

Assist. Prof. Dr. Mohammad Divandari is an Assistant Professor of Electrical Engineering/Control Systems at Islamic Azad University, Iran. He holds a Ph.D. in Electrical Engineering from Babol Noshirvani University (2019) with a thesis on switched reluctance motor drives. His research interests include electrical motor theory, control systems, and non-linear control. Dr. Divandari has extensive industry experience, having worked in JEMCO Company in various technical roles from 1998 to 2007. He is skilled in simulation, embedded systems, and electrical drive implementation. He is a member of IEEE and the Iranian Inventors Association. 🧑‍🏫🔧💡📚

 

Publication Profile

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Educational Background

Assist. Prof. Dr. Mohammad Divandari earned his Ph.D. in Electrical Engineering from Babol Noshirvani University of Technology in 2019, focusing on the design and implementation of a switched reluctance motor drive with DSP-TMS320F28335, earning a high score of 19.75/20. He completed his M.Sc. in Control Systems at Islamic Azad University, Tehran, in 2003, where his thesis on fuzzy logic control of switched reluctance motors earned him a score of 19/20. Dr. Divandari also holds a B.Sc. in Electronic Engineering from Islamic Azad University, Sabzevar (1998), with a thesis on DC/AC converter design, scoring 18.5/20. 💡🔧📚

 

Professional Experience

Dr. Mohammad Divandari worked as an Electrical Engineer at JEMCO Company (Jovain Electrical Machines Industries Co.) from 1998 to 2007. His roles included installing and operating machinery (1998-1999), working in machinery adjustment committees with foreign experts (1999-2000), and serving as an expert in the technical documents center (2000-2001). He also contributed to the Research and Development (R&D) department (2001-2003) and later worked in sales engineering within the commercial units (2003-2007). His extensive experience helped shape his expertise in electrical systems and engineering solutions. ⚙️🔧🌍

 

Academic Experience

Dr. Mohammad Divandari has had extensive teaching experience in Electrical Engineering and Control Systems. From 2004 to 2019, he was a Lecturer at Islamic Azad University, Iran, where he taught a wide range of subjects, including Electronics, Electrical Machines, Control Systems, Power Electronics, and Pattern Recognition. He also conducted labs on Linear Control Systems, Non-linear Control, and Instrumentation. Since 2019, he has served as an Assistant Professor, continuing his impactful work in teaching and mentoring future engineers. His contributions significantly shape the next generation of electrical engineers. 📚⚡️

 

Software Expertise

Assist. Prof. Dr. Mohammad Divandari has extensive expertise in software tools for simulation and embedded systems. He is proficient in MATLAB/SIMULINK, PLECS, and ANSYS/Maxwell for FEM simulations. His experience extends to embedded systems, specifically with DSP TMS320F28335 using Code Composer Studio for C programming. Additionally, he has hands-on experience with Cadence SPB/OrCAD for Pspice and circuit analysis and Altium Designer for PCB design (two-layer, metalized). His skills in these advanced tools support his research and development in electrical engineering. 🖥️🔧📐

 

Honors and Award

In recognition of his innovative contributions, Assist. Prof. Dr. Mohammad Divandari received a patent in 2001–2002 for an automatic device designed to measure the pressure of automobile tires. This device is adjustable to optimize energy consumption in automobiles. The patent, registered under No. 013233 in Iran on March 13, 2006, showcases his commitment to advancing technology in the automotive and energy sectors. This achievement highlights his inventive approach to solving practical engineering challenges. 🚗🔧⚡

 

Research Focus

Assist. Prof. Dr. Mohammad Divandari’s research focuses on advanced control systems and optimization techniques for switched reluctance motor (SRM) drives, with a strong emphasis on fuzzy logic control to reduce torque ripple and acoustic noise. His work extends to sensorless motor drives, dynamic observers, and electromagnetic levitation systems. Additionally, Dr. Divandari explores brushless DC motors, power electronic systems, and micro-turbine control. His contributions have had significant impacts on energy efficiency, control systems, and motor design. 🌍🔌📉 His work is essential in the electrical engineering and control systems domains.

 

Publication Top Notes

  • Radial force and torque ripple optimization for acoustic noise reduction of SRM drives via fuzzy logic control (Cited by: 52, Year: 2010) ⚙️📉
  • Speed control of switched reluctance motor via fuzzy fast terminal sliding-mode control (Cited by: 44, Year: 2019) ⚡📊
  • A novel dynamic observer and torque ripple minimization via fuzzy logic for SRM drives (Cited by: 32, Year: 2009) 🔄🔧
  • Tooth profile modification and its effect on spur gear pair vibration in presence of localized tooth defect (Cited by: 27, Year: 2012) ⚙️🔍
  • A novel sensorless SRM drive via hybrid observer of current sliding mode and flux linkage (Cited by: 23, Year: 2007) 🚗🔩
  • Torque estimation of sensorless SRM drive using adaptive-fuzzy logic control (Cited by: 18, Year: 2016) 🧠⚙️
  • High performance SRM drive with hybrid observer and fuzzy logic torque ripple minimization (Cited by: 15, Year: 2007) 🔋🔧
  • Conversion of shaded-pole induction motor to switched reluctance motor and effects of pole shoe and notch on SRM noise (Cited by: 13, Year: 2013) 🔊🔩
  • Single phase application of space vector pulse width modulation for shunt active power filters (Cited by: 13, Year: 2007) ⚡🔌
  • Robust speed control of switched reluctance motor drive based on full order terminal sliding mode control (Cited by: 11, Year: 2020) ⚙️🛠
  • A novel control-rod drive mechanism via electromagnetic levitation in MNSR (Cited by: 10, Year: 2014) ⚡🔮
  • Sensorless drive for switched reluctance motor by adaptive hybrid sliding mode observer without chattering (Cited by: 9, Year: 2018) ⚙️🔧
  • Acoustic noise reduction of switched reluctance motor drives (Cited by: 7, Year: 2011) 🔇🔧
  • Improved analytical nonlinear model for switched reluctance motor using Gaussian distribution probability density function (Cited by: 6, Year: 2018) 🧠🔩
  • Minimizing torque ripple in a brushless DC motor with fuzzy logic: applied to control rod driving mechanism of MNSR (Cited by: 5, Year: 2015) ⚡🔧

 

Benkun Tan | Engineering | Best Researcher Award

Benkun Tan | Engineering | Best Researcher Award

Dr Benkun Tan, Hunan University of Arts and Sciences, China

Dr. Benkun Tan is a Ph.D. candidate at Changsha University of Science and Technology, specializing in Civil Engineering. His research focuses on steel-concrete composite structures, with significant contributions including studies on temperature field prediction and fatigue damage analysis. Notable publications include “Temperature Field Prediction of Steel-Concrete Composite Decks” and “Fatigue Crack Propagation in Stud Connectors.” Dr. Tan’s work is published in reputable journals such as Journal of Zhejiang University-SCIENCE A and Sustainability. His innovative approach enhances the understanding of structural integrity and performance. 🌉📚✨

Publication profile

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Education 

Changsha University of Science and Technology, located in Changsha, China, has been the academic home of a Ph.D. candidate in the School of Civil Engineering since September 1, 2019. This institution is renowned for its comprehensive engineering programs, providing a robust curriculum that integrates theoretical knowledge with practical application. The focus on civil engineering equips students with the skills needed to tackle modern infrastructure challenges. Engaging with experienced faculty and participating in cutting-edge research, the candidate is poised to make significant contributions to the field. 📚🏗️🌍 

Research focus 

Benkun Tan is an emerging researcher in the field of civil engineering, specifically focusing on steel-concrete composite structures. His research encompasses temperature field prediction, multiaxial fatigue damage analysis, and fatigue crack propagation in composite beams and connectors. Tan employs innovative methods, including ensemble algorithms and numerical simulations, to enhance the durability and performance of composite materials in construction. His contributions aim to optimize design and layout for temperature measurement in bridges, thereby improving structural integrity and safety. With a commitment to sustainability, Tan’s work is significant for advancing engineering practices in the built environment. 🔧🏗️📊 

Publication top notes

Temperature field prediction of steel-concrete composite decks using TVFEMD-stacking ensemble algorithm

Multiaxial Fatigue Damage Analysis of Steel–Concrete Composite Beam Based on the Smith–Watson–Topper Parameter

Optimization Method of Temperature Measuring Point Layout for Steel-Concrete Composite Bridge Based on TLS-IPDP

Fatigue Crack Propagation and Life Analysis of Stud Connectors in Steel-Concrete Composite Structures

Numerical Study on Stress Intensity Factors for Stud Connectors of Steel–Concrete Connection

Conclusion 

Dr. Tan’s research portfolio demonstrates consistent contributions to the fields of temperature modeling, fatigue analysis, and lifecycle assessment of steel-concrete composite structures, underscoring his suitability for the Best Researcher Award in civil engineering. His innovative methodologies and practical applications in composite structures align with the award’s focus on impactful and forward-thinking research in the field. 

 

 

Mehrdad ghamari | Engineering Award | Best Researcher Award

Mr. Mehrdad ghamari | Engineering Award | Best Researcher Award

Mr. Mehrdad ghamari, Edinburgh Napier University, Edinburgh, United Kingdom

Dr. Mehrdad Ghamari is a visiting researcher at Edinburgh Napier University, specializing in structural engineering and photovoltaic integration for passive cooling. He earned his M.Sc. from the University of Isfahan and has held lecturer positions at Islamic Azad University. His research focuses on the effects of lateral constraints on unreinforced masonry walls and has resulted in numerous publications in respected journals. Fluent in English and Persian, he has significant experience in civil engineering design and supervision, having designed over 100 concrete and steel structures. 🎓🏗️

 

Publication Profile

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Education

Mr. Ghamari holds a Master’s degree in Structural Engineering from the University College of Engineering, University of Isfahan, where he excelled with a GPA of 17.76 out of 20. His academic journey began with a Bachelor’s degree in Civil Engineering from the University of Tehran. His commitment to ongoing education is evident through his roles as a visiting researcher at renowned universities in the UK and Portugal.

Research Experience & Interests

Mr. Ghamari has actively engaged in multiple innovative research projects, focusing on topics such as photovoltaic integration for passive cooling applications and the effects of lateral constraints on historical masonry walls. His work is supervised by respected professors in the field, showcasing his ability to collaborate effectively and contribute to meaningful research. Notable projects include analyzing the structural integrity of Persian historical masonry and investigating the impact of advanced materials like fiber-reinforced polymers on traditional structures.

Academic Experience

Mr. Ghamari has lectured on a range of subjects, including structural analysis and mechanics of materials, at various institutions. His ability to convey complex concepts to students reflects his deep understanding of the subject matter and his commitment to academic excellence

Work Experience

Mr. Ghamari has accumulated substantial practical experience in civil engineering. He has designed and supervised numerous concrete and steel structures in Iran and holds a license for supervision and implementation within the Construction Engineering Organization of Iran. His practical insights complement his academic prowess, making him a well-rounded candidate.

Conclusion

Mr. Mehrdad Ghamari’s extensive educational background, innovative research contributions, teaching experience, and practical engineering skills make him a highly suitable candidate for the Best Researcher Award. His commitment to advancing sustainable engineering practices and his contributions to the field demonstrate his potential to influence future developments in civil engineering and structural analysis.

Publication Top Notes

  • Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review 🌱 – Cited by: 8 | Year: 2024
  • Solar Wall Technology and Its Impact on Building Performance ☀️ – Cited by: 3 | Year: 2024
  • Parametric Study of Failure Load of Persian Brick Masonry Domes Stiffened by FRP Strips under Concentrated Monotonic Loads 🏛️ – Cited by: 3 | Year: 2016
  • Biomass Derived Biofluorescent Carbon Dots for Energy Applications: Current Progress and Prospects 🔋 – Cited by: 2 | Year: 2024
  • Effects of lateral constraints, geometrical characteristics and pre-compression level on the Drift capacity of Persian historical masonry walls 🧱 – Cited by: 2 | Year: 2021
  • Effects of Lateral Constraints and Geometrical Characteristics on Deformation Capacity of the Persian Historic Unreinforced Masonry Shear Walls under Uncertainty Conditions ⚖️ – Cited by: 2 | Year: 2020
  • Determination of Partial Safety Factors (γM) for Model Uncertainties for Persian Historical Masonry Materials 🏗️ – Cited by: 1 | Year: 2021
  • Valorization of diverse waste-derived nanocellulose for multifaceted applications: A review 🌿 Year: 2024
  • Solar Window Innovations: Enhancing Building Performance through Advanced Technologies 💡  Year: 2024
  • Flanges’ Impact on Persian Historical Masonry Walls: Modeling Safety Factors 🏢 Year: 2024

 

 

Kilhun Lee | Engineering | Women Researcher Award

Prof. Dr. Kilhun Lee | Engineering | Women Researcher Award

Prof. Dr. Kilhun Lee, University of Seoul, South Korea

Assistant Professor of Architecture at the University of Seoul, Kilhun Lee specializes in urban history and architecture history. She earned her Ph.D. and Master’s degree from the University of Tokyo. Before joining UOS in 2024, she held positions at Duksung Women’s University and the Institute of Seoul Studies. Her research focuses on urban regeneration and the conservation of industrial heritage, with numerous publications on architectural history, including comparisons of urban planning during Japanese colonial rule. Kilhun is a member of several professional associations, including the Architectural Institute of Korea and the Society of Architectural Historians of Japan. 📚🏙️

Publication Profile

Scopus

Research Interests and Contributions

Kilhun Lee is currently an Assistant Professor at the University of Seoul, where she has developed a robust research profile in urban history and architecture. Her doctoral work at the University of Tokyo provided her with a strong foundation in architectural studies, which she has further enriched through various academic appointments. Her research is particularly relevant to the award’s criteria as it addresses themes of urban regeneration and the conservation of industrial heritage, highlighting her commitment to historical and contemporary issues in architecture.

Awards and Recognition

Kilhun Lee’s work has been recognized through various awards and grants, including the Korea Research Foundation’s General Research Program. Her accolades, such as the Simwon Architectural Award for Academic Researchers, signify her impact in the field and her potential as a role model for women researchers in architecture and urban studies.

Educational Impact

Professor Lee is involved in teaching undergraduate courses related to architectural history, contributing to the education of future generations in a male-dominated field. Her role as an educator aligns with the goals of the Research for Women Researcher Award, which seeks to promote women’s contributions to research and academia

Conclusion

Professor Kilhun Lee’s extensive background in architecture, her focus on significant urban issues, her notable publication record, and her commitment to education make her an exemplary candidate for the Research for Women Researcher Award. Her work embodies the values and objectives of the award, aiming to advance the recognition of women researchers and their contributions to the field.

Publication Top Notes  

  • “Building the Governance to Conserve and Utilize Industrial Heritage in East Asia: The Cases of Japan and Taiwan” – Lee, K. (2024) 📅
  • “A Comparison of Urban Planning in Eastern Asian Capitals during Japanese Colonial Rule: Tokyo, Taipei (1895), Seoul (1910), and Beijing (1936)” – Lee, K., Yang, S. (2023) 📅 Citations: 2
  • “Planning and Construction of the Post-Liberation Capital City of Seoul (1945–1950): A Focus on Planning and the Removal of Firebreaks” – Taeyoon, K., Kilhun, L. (2022) 📅
  • “Stream Network of Hanyang, a City of Water” – Lee, K., Yang, S. (2022) 📅
  • “Urban Planning Seen Through the Process of Establishing Substitute Land in the Edo Period” – Lee, K. (2018) 📅

 

 

Jingwei Zhou | Engineering | Best Researcher Award

Jingwei Zhou | Engineering | Best Researcher Award

Dr Jingwei Zhou, Tsinghua University, China

Dr. Jingwei Zhou’s impressive academic background, research contributions, and professional experience, he appears to be a strong candidate for the Best Researcher Award. Here’s an overview of his qualifications that support this opinion:

Publication profile

Scopus

Education

  • Postdoctoral Researcher in Mechanical Engineering at Tsinghua University (2021-2024)
  • Ph.D. in Mechanics from Beijing University of Technology (2015-2020)
  • Master’s in Mechanical Engineering from Inner Mongolia University of Science & Technology (2009-2012)
  • Bachelor’s in Mechanical Engineering from Beijing Information Science and Technology University (2005-2009)

Professional Experience

  • Senior Researcher at Central Research Institute Goldwind Science & Technology Co., Ltd (2020-Present)
  • Visiting Ph.D. Student at Duke University (2018-2019)
  • Blade Design Engineer at Goldwind Science & Technology Co., Ltd (2012-2015)

Key Projects

  1. Adaptive Control: Developed a controller for a 6.25 MW wind turbine, significantly enhancing project value by $50 million.
  2. Aero-elasticity: Led the development of software for long slender blade design and validation.
  3. Floating Wind Turbine Control: Involved in modeling and experimental design for floating wind turbines.
  4. Stability Analysis: Worked on mitigating self-excited vibrations in wind turbines.

Honors and Awards

  • Second Prize for Scientific and Technological Progress from China Machinery Industry Association for his work on bend-twist adaptive control for flexible wind turbine blades, showcasing significant innovation and impact in renewable energy technology.

Publications

Dr. Zhou has multiple publications in respected journals related to wind turbine dynamics, such as:

  • Bend-twist adaptive control for flexible wind turbine blades in Mechanical Systems and Signal Processing.
  • Nonlinear vortex-induced vibration and its mitigation of wind turbines in parked conditions in Applied Mathematical Modelling.
  • Research on modeling and vortex-induced vibrations of semi-submersible floating offshore wind turbines.

Publication top notes

Bend-twist adaptive control for flexible wind turbine blades: Principles and experimental validation

Nonlinear vortex-induced vibration and its mitigation of wind turbines in parked conditions

Modeling and vortex-induced vibrations of semi-submersible floating offshore wind turbines

Dynamic deformation monitoring of cantilever beams using piezoelectric sensors: Theory and experiment

Nonlinear vortex-induced vibration of wind turbine towers: Theory and experimental validation

Aeroelastic deformation and load reduction of bending-torsion coupled wind turbine blades

Investigation on dynamics of rotating wind turbine blade using transferred differential transformation method

 

Conclusion

Dr. Zhou’s blend of advanced education, extensive research experience in mechanical engineering with a focus on wind energy, notable project outcomes, and recognition in the form of awards and publications make him an excellent candidate for the Best Researcher Award. His work not only advances the field of renewable energy but also demonstrates a strong commitment to innovation and practical application in real-world scenarios.

Ayalew Mekuria | Engineering | Excellence in Research

Ayalew Mekuria | Engineering | Excellence in Research

Mr Ayalew Mekuria, Dilla University, Ethiopia

Mr. Ayalew Mekuria appears to be a suitable candidate for the Research for Excellence in Research program. Here’s an assessment of his profile:

Publication profile

orcid

Education

  • MSc. in Chemical Engineering (Process Engineering) from Dire Dawa University (2020/2022)
  • BSc. in Chemical Engineering (Food Engineering) from Debre Berhan University (2014/2018)
  • HDP (Higher Diploma Program) from Dilla University (2018/2019)

Mr. Mekuria’s educational background in chemical engineering, particularly in process and food engineering, lays a strong foundation for his research capabilities. His master’s degree equips him with advanced knowledge and skills necessary for conducting high-quality research.

Work Experience

  • Lecturer at Dilla University (2018 – Current): His responsibilities include teaching, mentoring, and research advising, indicating strong communication and leadership skills. This role also allows him to stay current with academic research trends.
  • Training Facilitator at Dereja Academy: His role as a trainer in employability skills demonstrates his commitment to enhancing students’ practical skills and readiness for the job market. This experience shows his ability to engage with industry professionals, which is essential for research applications.
  • Internship Coordinator (2022 – 2024): This position requires excellent organizational skills and the ability to liaise with various stakeholders, including companies and students. Such experience is valuable in coordinating research projects and understanding industry needs.
  • Exam Review Committee and Exit Exam Coordinator (2022 – 2023): These responsibilities involve oversight of academic standards, further showcasing his leadership and evaluative skills, critical for maintaining research integrity.

Internship Experience

  • Internship at Habesha Brewery S.C. (Oct 2015 – Jan 2016): Practical experience in the brewery industry complements his academic knowledge, providing real-world insights into chemical engineering applications.

Certifications

Mr. Mekuria’s various certifications, including:

  • Dereja Academy Accelerator Program (DAAP)
  • Employability Skill and Job Readiness Training
  • Project Management Essentials
  • Certified Professional Teacher Educator

These certifications highlight his commitment to continuous learning and development, essential traits for a researcher.

Publications

  • Publication on the development, characterization, and optimization of sulfated fat liquor from fleshing tannery solid waste in Cogent Food & Agriculture (2024). This publication demonstrates his active engagement in research and contributes to the field of food engineering and sustainability.

Conclusion

Mr. Ayalew Mekuria’s educational background, extensive work experience, practical internships, and commitment to continuous professional development position him as a strong candidate for the Research for Excellence in Research program. His ability to integrate theoretical knowledge with practical applications, alongside his active participation in research and community service, underscores his potential to contribute significantly to the research community.

Raffaele Iervolino | Engineering | Best Researcher Award

Prof. Raffaele Iervolino | Engineering | Best Researcher Award

Prof. Raffaele Iervolino, University of Naples Federico II, Italy

Prof. Raffaele Iervolino is an esteemed Associate Professor of Automatic Control at the University of Naples Federico II, specializing in control systems analysis and design. Born in 1971 in Milan, Italy, he earned his M.S. in Aerospace Engineering in 1996 and a PhD in Computer and Automation Engineering in 2002. Raffaele has collaborated on numerous national and European research projects and has authored over 60 publications. His research interests include stability analysis of piecewise linear systems, reinforcement learning, and resource allocation problems. He is a Senior Member of the IEEE Control System Society. 📚✈️🔧

 

Publication profile

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Educational Background

Prof. Raffaele Iervolino holds a Research Doctorate degree from the University of Naples Federico II, obtained in March 2002. His academic journey began with a Research Doctorate in Computer and Automatic Engineering at the same university, specializing in Control and Systems Engineering from 1998 to 2001. He earned his Professional Engineer certificate in November 1996, further demonstrating his expertise. Prof. Iervolino completed his Laurea degree in Aerospace Engineering, graduating summa cum laude in June 1996 from the University of Naples Federico II, showcasing his exceptional academic achievements and commitment to engineering excellence. ✈️

 

Employment 🏫

Prof. Raffaele Iervolino currently serves as an Associate Professor of Automatic Control at the Faculty of Engineering, University of Naples Federico II, since 2024. Previously, he held the position of Assistant Professor of Automatic Control at the same university from 2003 to 2024. Beyond academia, he is a scientific consultant specializing in control system analysis and design for several organizations, including the academic spin-off Megaride (2018-present) and the electronics company Megaris (2015-present). He has also contributed to the CREATE Consortium (2002-present) and was a consultant for the FIAT Research Center from 1999 to 2004. 🔧

 

Teaching Activity 📚

Prof. Raffaele Iervolino has made significant contributions to education through various academic courses. Since 2019, he has taught the Control Lab for the M.S. in Robotics and Automation Engineering at the University of Naples. Additionally, he has been instructing Systems Theory for the B.S. in Electronic Engineering at the Italian Air Force Academy since 2017. From 2011 to 2013, he taught Automation Technologies in the B.S. Computer Science Engineering program at the University of Naples. He also offered the course Fundamentals of Dynamic Systems for Biomedical Engineering from 2003 to 2022. In June 2018, he conducted a seminar on “A Consensus Policy and Piecewise Quadratic Stability for Heterogeneous Opinion Dynamics” at the University of Groningen, Netherlands. 🎓

 

Research Contributions

He has authored over 60 publications, including journal papers, conference papers, and book chapters. His work covers crucial areas such as stability analysis of piecewise linear systems, opinion dynamics, and reinforcement learning, contributing to advancements in automatic control and engineering.

Publication Top Notes

  • Lyapunov stability for piecewise affine systems via cone-copositivity 📄 – Citations: 53, Year: 2017
  • Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges 🚀 – Citations: 47, Year: 2022
  • Primary frequency response improvement in interconnected power systems using electric vehicle virtual power plants ⚡ – Citations: 40, Year: 2020
  • Category II pilot in-the-loop oscillations analysis from robust stability methods ✈️ – Citations: 39, Year: 2001
  • Cone-copositive piecewise quadratic Lyapunov functions for conewise linear systems 🔍 – Citations: 37, Year: 2015
  • Approximate dynamic programming for stochastic resource allocation problems 📊 – Citations: 36, Year: 2020
  • Analysis of pilot-in-the-loop oscillations due to position and rate saturations ⚙️ – Citations: 34, Year: 2000
  • Practical consensus in bounded confidence opinion dynamics 🤝 – Citations: 27, Year: 2021
  • mu synthesis for a small commercial aircraft: Design and simulator validation ✈️ – Citations: 27, Year: 2004
  • A wearable device for sport performance analysis and monitoring 🏋️ – Citations: 26, Year: 2017


Conclusion

Prof. Raffaele Iervolino’s impressive educational credentials, extensive research contributions, active participation in significant projects, and commitment to teaching make him an outstanding candidate for the Best Researcher Award. His work not only advances knowledge in automatic control but also has practical implications across various industries.

 

Muhammad Haider Saleem | Material Science | Excellence in Innovation

Mr. Muhammad Haider Saleem | Material Science | Excellence in Innovation

Ghani Glass Limited, Pakistan

Muhammad Haider Saleem is a Pakistani chemist and researcher with expertise in the synthesis, characterization, and computational modeling of nanomaterials. Born and raised in Sheikhupura, Pakistan, he has focused his academic and professional career on materials science, particularly the innovative applications of f-block and d-block elements. His work spans diverse fields including optoelectronics, biomedical applications, and energy storage solutions. Saleem holds a Master of Philosophy in Chemistry from Government College University, Lahore, and has gained substantial experience as a Senior Chemist in Research & Development at Ghani Glass Limited. His research has been published in several peer-reviewed journals, highlighting his contributions to enhancing material properties for industrial and technological applications. With hands-on experience in leading-edge laboratory techniques and a passion for innovation, Saleem continues to contribute to advancements in materials science and nanotechnology.

Publication profile

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Educational Background

Muhammad Haider Saleem completed his Master of Philosophy (MPhil) in Chemistry from Government College University, Lahore, in 2022. His thesis, titled “Decolorization of Green Tint of High Iron Soda Lime Glass using Rare Earth Metal Nanoparticles,” explored innovative ways to modify glass for improved optical and physical properties. He earned a Bachelor’s degree in Chemistry from the University of the Punjab, Lahore, in 2017, which provided him with a strong foundation in natural sciences and materials science. In addition to his core education, Saleem has broadened his skill set through certifications such as a Diploma in Data Science from Al-Khawarizmi Institute of Computer Science (UET Lahore) and certification in SEO from Digiskills. His academic journey has been marked by his focus on nanomaterials and their applications in real-world industrial contexts, including optoelectronics, energy storage, and biomedical technologies.

Work Experience

Muhammad Haider Saleem has significant professional experience as a Senior Chemist in the Research & Development (R&D) department at Ghani Glass Limited, where he has worked since 2017. His role involves the analysis and improvement of glass materials, particularly focusing on the development of new float glass colors and optoelectronic applications using lanthanides. He has a deep understanding of advanced laboratory instruments such as ED-XRF, SEM, and XRD, and has contributed to maintaining the company’s ISO-9001 and EMS-14001 standards. Prior to this, Saleem worked as QC Shift Incharge at Rupali Polyester Limited, where he was responsible for maintaining polymer quality through raw material analysis and polymer stoichiometry. His industrial experience complements his academic knowledge, allowing him to apply research insights directly to manufacturing and quality control processes. His work in both roles has centered on advancing innovative materials for practical and commercial use.

Research Focus

Muhammad Haider Saleem’s research focuses on the synthesis, characterization, and computational modeling of nanomaterials, particularly those based on f-block and d-block elements. His work aims to enhance the optical, electronic, and physical properties of materials for applications in optoelectronics, energy storage, and biomedical technologies. Saleem is especially interested in modified glasses for optoelectronics and biomedical uses, multifunctional ceramics, and the development of nanomaterials for optical fiber and laser applications. His research also extends to bio-imaging and nano-thermometry, where stable upconversion nanoparticles (UCNPs) are used for advanced imaging techniques. Another significant aspect of his work involves the development of supercapacitors with enhanced charge storage capacities through the modification of electrode materials. Additionally, Saleem has been researching ways to improve the efficiency of perovskite solar cells, contributing to the ongoing global effort to enhance sustainable energy solutions.

Skills:

Muhammad Haider Saleem possesses a diverse set of technical skills that span advanced laboratory techniques, computational modeling, and data analysis. He is proficient in the operation of key scientific instruments such as ED-XRF (CG-NEX I, Rigaku), XRD (ARL EQUINOX 5000), and SEM (FEI INSPECT S50), which are essential for material characterization and analysis. His expertise extends to spectroscopic techniques, including UV/Vis spectroscopy, fluorescence spectroscopy, and FTIR, used in assessing optical and chemical properties. Saleem is also skilled in electrochemical techniques, utilizing potentiostats for charge storage and corrosion testing.

Conclusion

Given his advanced research, relevant work experience, peer-reviewed publications, and proficiency with high-level scientific tools, Muhammad Haider Saleem seems well-suited for a recognition or award in “Excellence in Innovation.” His work in developing innovative nanomaterials for optoelectronics, biomedical applications, and energy storage reflects significant contributions to his field.

Publication Top Notes

Title: An innovative approach towards Decolorization of tint and Enhancing the Optical & Physical Properties of High iron Na₂O-CaO-SiO₂ glass by co-doping with Ce⁴⁺/Nd³⁺
Authors: MH Saleem, S Ali, S Ali
Journal: Optical Materials
Citation: 116160
Year: 2024

Title: An Innovative Approach of Decolorization of Tint and Enhancing the Optical & Physical Properties of High Iron Na₂O-CaO-SiO₂ Glass by Doping with Ce⁴⁺/Nd³⁺: An Experimental and …
Authors: MH Saleem, S Ali, S Ali
Citation: Available at SSRN 4379211
Year: 2024

Title: Optical & Physical Properties of High Iron Na₂O-CaO-SiO₂ Glasses on Decolorization of Tint by Doping with Rare Earth Metals (CeO₂/Nd₂O₃): An Experimental and Comparative Study
Authors: MH Saleem, S Ali, S Ali
Citation: Available at SSRN 4347488
Year: 2024

 

Mohamad Zarei Binabaj | Engineering | Best Researcher Award

Dr. Mohamad Zarei Binabaj | Engineering | Best Researcher Award

Researcher at Shahid Beheshti University, Iran

Dr. Mohamad Zarei Binabaj, born in 1983 in Mashad, Iran, is an accomplished researcher in nuclear engineering with a Ph.D. from Shahid Beheshti University in Tehran. His research focuses on advanced nuclear reactor modeling and control, particularly under challenging conditions such as xenon oscillations. He has a strong publication record with over 24 peer-reviewed articles in leading journals and serves as a topic editor for Frontiers in Energy Research: Nuclear Energy. Known for his expertise in multi-physics kinetics modeling, detector physics, and nonlinear control systems, he is proficient in MATLAB, Simulink, and nuclear engineering software. Fluent in English and French, Dr. Zarei actively contributes to the academic community as a reviewer for several respected journals and has experience teaching and supervising students. His contributions make him a well-regarded figure in the field of nuclear reactor engineering.

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Educational Background

Mohamad Zarei Binabaj holds an impressive educational background in engineering, with a Ph.D. in Nuclear Reactor Engineering from Shahid Beheshti University in Tehran, Iran, obtained in 2017. His doctoral research focused on the robust nonlinear control of nuclear reactor load following operations amidst Xenon oscillations. Prior to his Ph.D., he completed a Master’s degree in Nuclear Reactor Engineering at the same institution in 2012, where he explored the inherent safety features of next-generation IV lead-cooled fast reactors. His academic journey began with a Bachelor’s degree in Electrical Engineering from Tehran University in 2006, laying a solid foundation for his expertise in nuclear engineering and control systems.

Teaching and Research Experience

Mohamad Zarei Binabaj has a solid foundation in both teaching and research within the field of nuclear engineering. As a consulting instructor at Shahid Beheshti University, he guides students in their thesis projects, focusing on nuclear reactor dynamics and analysis. He has also served as a teaching assistant for various courses, including reactor physics, numerical methods, and linear control systems, showcasing his ability to communicate complex concepts effectively. In terms of research, Zarei has an extensive publication record with over 24 articles in esteemed journals, covering topics such as nonlinear control, reactor dynamics, and safety features in advanced reactors. His active participation in reviewing manuscripts for leading journals further highlights his commitment to advancing the field and contributing to the academic community. Overall, his teaching and research experiences underscore his expertise and dedication to nuclear engineering education and innovation.

Publication Top Notes

  • A physically based PID controller for the power maneuvering of nuclear reactors
    • Authors: M. Zarei
    • Year: 2020
    • Citations: 22
  • A multi-point kinetics based MIMO-PI control of power in PWR reactors
    • Authors: M. Zarei
    • Year: 2018
    • Citations: 22
  • Robust PID control of power in lead cooled fast reactors: A direct synthesis framework
    • Authors: M. Zarei, R. Ghaderi, N. Kojuri, A. Minuchehr
    • Year: 2017
    • Citations: 19
  • Space independent xenon oscillations control in VVER reactor: A bifurcation analysis approach
    • Authors: M. Zarei, R. Ghaderi, A. Minuchehr
    • Year: 2016
    • Citations: 12
  • Nonlinear dynamics and control in molten salt reactors
    • Authors: M. Zarei
    • Year: 2018
    • Citations: 10

Conclusion

Dr. Zarei’s qualifications in nuclear engineering, demonstrated expertise, and active engagement in academia make him a strong candidate for the Best Researcher Award. With his current trajectory and potential expansions in research breadth, he embodies excellence in his field.

Zhipeng Zhao | Engineering | Best Researcher Award

Assist Prof Dr. Zhipeng Zhao | Engineering | Best Researcher Award

Assistant Professor, Tongji University, China

Dr. Zhipeng Zhao, currently an Assistant Professor at Tongji University, showcases an impressive academic and research profile, making him a strong candidate for the Research for Best Researcher Award. With a Ph.D. in Civil Engineering and a GPA of 90.30, he has garnered several accolades, including recognition among the World’s Top 2% Scientists in 2024. His research interests focus on artificial intelligence in structural health monitoring and innovative anti-seismic systems, contributing significantly to advancements in civil engineering. He has published numerous peer-reviewed articles, demonstrating a commitment to advancing knowledge in his field. His collaborative work has resulted in impactful research, earning him prestigious fellowships and awards, such as the JSPS Foreign Research Fellow and Shanghai Leading Talents recognition. Dr. Zhao’s combination of research excellence, innovation, and leadership positions him as an exemplary figure in civil engineering, underscoring his suitability for this prestigious award.

Profile:

Education

Dr. Zhipeng Zhao earned his Ph.D. in Civil Engineering from Tongji University, Shanghai, China, in 2021, where he achieved an impressive GPA of 90.30/100. His academic journey began at the same institution, where he completed his Bachelor’s degree in Civil Engineering in 2017, graduating with a remarkable GPA of 93.00/100. During his doctoral studies, Dr. Zhao focused on advanced topics in structural health monitoring and vibration control, demonstrating a commitment to enhancing the resilience of civil engineering structures. His educational background has provided him with a solid foundation in both theoretical and practical aspects of civil engineering, equipping him with the skills necessary to tackle complex engineering challenges. Dr. Zhao’s strong academic performance and rigorous training reflect his dedication to excellence in the field, positioning him as a valuable contributor to research and innovation in civil engineering.

 

Research Skills

Dr. Zhipeng Zhao possesses exceptional research skills that significantly contribute to the advancement of civil engineering, particularly in artificial intelligence-based structural health monitoring and vibration control. His ability to develop innovative anti-seismic structural systems is demonstrated through numerous peer-reviewed publications, reflecting a strong command of both theoretical and practical applications. Dr. Zhao excels in employing cutting-edge methodologies for ground motion simulation, allowing for accurate predictions and enhanced structural safety. His collaborative work as a corresponding author on various high-impact journals showcases his capacity to lead multidisciplinary teams and drive impactful research initiatives. Additionally, his recognition as one of the world’s top 2% scientists and several prestigious awards underscore his commitment to excellence in research. Overall, Dr. Zhao’s research skills are characterized by a blend of creativity, technical proficiency, and a keen understanding of contemporary challenges in civil engineering, making him a leading candidate for the Research for Best Researcher Award.

 

Professional Experiences

Dr. Zhipeng Zhao, currently an Assistant Professor at Tongji University, has cultivated a distinguished career in civil engineering, particularly in structural health monitoring and vibration control. He has served as a JSPS Foreign Research Fellow at Tohoku University, Japan, where he engaged in advanced research from 2022 to 2023. Prior to this, he completed a postdoctoral fellowship at the Hong Kong Polytechnic University and City University of Hong Kong. Dr. Zhao’s academic journey began with a Bachelor’s and a Ph.D. in Civil Engineering from Tongji University, where he excelled in his studies. His remarkable contributions to the field are underscored by multiple honors, including recognition as one of the world’s top 2% scientists in 2024 and the prestigious Shanghai Leading Talents (Overseas) Young Talents award in 2022. With an extensive publication record, Dr. Zhao is a leader in innovative anti-seismic structural systems.

Award And Recognition

Dr. Zhipeng Zhao, an Assistant Professor at Tongji University, has garnered significant accolades for his groundbreaking research in civil engineering, particularly in artificial intelligence-based structural health monitoring and seismic resilience. Recognized among the world’s top 2% of scientists in 2024, he has received prestigious awards, including the Shanghai Leading Talents (Overseas) Young Talents in 2022 and the Tongji University’s top ten scientific achievements with transformative potential in 2023. His work has been frequently cited, earning him the Most Cited Articles recognition in Engineering Structures from 2018 to 2021. Notably, Dr. Zhao was honored with first and second prizes for outstanding papers at the National Structural Engineering Academic Conference in 2018 and 2023, respectively, further solidifying his reputation as a leading researcher in his field. His exceptional contributions demonstrate a commitment to advancing civil engineering and improving infrastructure resilience against natural disasters.

Conclusion

In summary, Dr. Zhipeng Zhao exemplifies excellence in civil engineering, particularly in the fields of artificial intelligence-based structural health monitoring and seismic control systems. His impressive academic background, highlighted by a Ph.D. from Tongji University, is complemented by numerous accolades, including recognition as one of the world’s top 2% scientists in 2024. Dr. Zhao’s innovative contributions, reflected in over 40 peer-reviewed publications, demonstrate his commitment to advancing structural resilience against seismic activities. His research not only addresses critical challenges in civil engineering but also significantly impacts the safety and sustainability of urban infrastructure. As an Assistant Professor at Tongji University and a recipient of multiple prestigious awards, Dr. Zhao’s ongoing research initiatives position him as a leader in the field. His dedication to enhancing structural engineering practices makes him a worthy candidate for the Research for Best Researcher Award.

Publication Top Notes

  • Seismic response mitigation of a wind turbine tower using a tuned parallel inerter mass system
    R. Zhang, Z. Zhao, K. Dai
    Engineering Structures, 180, 29-39, 221 citations, 2019
  • Damping enhancement principle of inerter system
    R. Zhang, Z. Zhao, C. Pan, K. Ikago, S. Xue
    Structural Control and Health Monitoring, 27(5), e2523, 147 citations, 2020
  • Seismic response mitigation of structures with a friction pendulum inerter system
    Z. Zhao, R. Zhang, Y. Jiang, C. Pan
    Engineering Structures, 193, 110-120, 125 citations, 2019
  • A tuned liquid inerter system for vibration control
    Z. Zhao, R. Zhang, Y. Jiang, C. Pan
    International Journal of Mechanical Sciences, 164, 105171, 108 citations, 2019
  • Optimal design based on analytical solution for storage tank with inerter isolation system
    Y. Jiang, Z. Zhao, R. Zhang, D. De Domenico, C. Pan
    Soil Dynamics and Earthquake Engineering, 129, 105924, 91 citations, 2020
  • Optimal design of an inerter isolation system considering the soil condition
    Z. Zhao, Q. Chen, R. Zhang, C. Pan, Y. Jiang
    Engineering Structures, 196, 109324, 76 citations, 2019
  • Energy dissipation mechanism of inerter systems
    Z. Zhao, Q. Chen, R. Zhang, C. Pan, Y. Jiang
    International Journal of Mechanical Sciences, 105845, 74 citations, 2020
  • Influence of mechanical layout of inerter systems on seismic mitigation of storage tanks
    R. Zhang, Z. Zhao, C. Pan
    Soil Dynamics and Earthquake Engineering, 114, 639-649, 70 citations, 2018
  • Impact of soil–structure interaction on structures with inerter system
    Q. Chen, Z. Zhao, R. Zhang, C. Pan
    Journal of Sound and Vibration, 433, 1-15, 65 citations, 2018
  • A particle inerter system for structural seismic response mitigation
    Z. Zhao, R. Zhang, Z. Lu
    Journal of the Franklin Institute, Engineering and Applied Mathematics, 356, 54 citations, 2019
  • Comfort based floor design employing tuned inerter mass system
    Q. Chen, Z. Zhao, Y. Xia, C. Pan, H. Luo, R. Zhang
    Journal of Sound and Vibration, 458, 143-157, 47 citations, 2019
  • Displacement mitigation–oriented design and mechanism for inerter-based isolation system
    Z. Zhao, R. Zhang, N.E. Wierschem, Y. Jiang, C. Pan
    Journal of Vibration and Control, 27(17-18), 1991-2003, 46 citations, 2021
  • Seismic performance upgrading of containment structures using a negative-stiffness amplification system
    Z. Zhao, Y. Wang, X. Hu, D. Weng
    Engineering Structures, 262, 114394, 42 citations, 2022
  • A negative stiffness inerter system (NSIS) for earthquake protection purposes
    Z. Zhao, Q. Chen, R. Zhang, Y. Jiang, C. Pan
    Smart Structures and Systems, 26(4), 481-493, 33 citations, 2020
  • Enhanced energy dissipation benefit of negative stiffness amplifying dampers
    Z. Zhao, Q. Chen, X. Hu, R. Zhang
    International Journal of Mechanical Sciences, 240, 107934, 32 citations, 2023
  • Input energy reduction principle of structures with generic tuned mass damper inerter
    Z. Zhao, R. Zhang, C. Pan, Q. Chen, Y. Jiang
    Structural Control and Health Monitoring, 28(1), e2644, 31 citations, 2021
  • Interaction of two adjacent structures coupled by inerter-based system considering soil conditions
    Z. Zhao, Q. Chen, R. Zhang, Y. Jiang, Y. Xia
    Journal of Earthquake Engineering, 26(6), 2867-2887, 28 citations, 2022
  • Seismic demand and capacity models, and fragility estimates for underground structures considering spatially varying soil properties
    Z. He, H. Xu, P. Gardoni, Y. Zhou, Y. Wang, Z. Zhao
    Tunnelling and Underground Space Technology, 119, 104231, 27 citations, 2022
  • Analytical optimization of the tuned viscous mass damper under impulsive excitations
    Z. Zhao, X. Hu, R. Zhang, Q. Chen
    International Journal of Mechanical Sciences, 228, 107472, 25 citations, 2022
  • Friction pendulum-strengthened tuned liquid damper (FPTLD) for earthquake resilience of isolated structures
    Z. Zhao, X. Hu, Q. Chen, Y. Wang, N. Hong, R. Zhang
    International Journal of Mechanical Sciences, 244, 108084, citations not specified.