Ioana Monica Sas-Boca | Engineering | Best Researcher Award

Published on 11/07/202511/07/2025 by Citation Awards

Ioana Monica Sas-Boca | Engineering | Best Researcher Award

Mrs. Ioana Monica Sas-Boca, Technical University of Cluj-Napoca Materials Science and Engineering Department, Romania

Dr. Ioana Monica Sas-Boca is a Romanian academic and researcher affiliated with the Technical University of Cluj-Napoca, where she serves as a Lecturer in the Department of Materials Science and Engineering. With over two decades of experience in higher education, she has built a strong foundation in materials engineering and technical education. Known for her active role in didactic and research activities, Dr. Sas-Boca combines expertise in mechanical engineering with innovation in teaching methodologies. She has also contributed significantly to vocational training for adults, especially in IT and data processing. Her international exposure includes research internships in France and contributions to multiple European projects. Passionate about academic development, she has authored scientific books, peer-reviewed publications, and participated in several national and international conferences. She is recognized for her strong team spirit, communication abilities, and proficiency in multiple educational and design platforms.

Publication Profile

orcid

🎓 Education

Dr. Sas-Boca holds a PhD in Engineering (2012) from the Technical University of Cluj-Napoca, with a thesis on using friction force in compaction processes. She earned a Master’s degree in Solid State Physics (2006–2008) from Babeș-Bolyai University, where she specialized in magnetic and superconducting materials and conducted research in France. Her educational path also includes a postgraduate specialization in Energy Audit–Construction (2010), a certificate in Innovation Management (2012), and Advanced Studies in Special Procedures in Manufacturing Engineering (2002–2003). Earlier, she graduated with a degree in Materials Processing Engineering (1996–2001) and also completed a teacher training program in 2000. Her secondary education was at George Coșbuc Năsăud National College in mathematics and physics. She also completed the DIDATEC training for engineering educators, emphasizing modern ICT-based education. Dr. Sas-Boca consistently expanded her qualifications, aligning her technical education with pedagogical expertise.

💼 Experience

Dr. Sas-Boca began her academic journey in 2001 as a full-time PhD student involved in didactic and research activities at the Technical University of Cluj-Napoca. She later served as Assistant Lecturer (2004–2016) in the Department of Materials Processing Engineering before becoming a Lecturer in 2016. Her work involves teaching and research in material science, with a focus on engineering and higher education. Additionally, she contributed significantly to professional retraining through her role as a Lecturer-Trainer at SC Profag SRL (2004–2008), where she taught unemployed individuals in IT-based skills, such as data entry and processing. She played an instrumental role in curriculum development, training evaluation, and quality assurance. Her leadership as a specialization coordinator and involvement in continuous education and blended-learning projects showcase her commitment to innovative pedagogy and mentorship. Dr. Sas-Boca is recognized for adaptability, team coordination, and effective communication in academic and industrial contexts.

🏆 Honors and Awards

Dr. Ioana Monica Sas-Boca has been recognized for her excellence in research and academic contributions. She has authored three books, including two as the sole author, and published 26 scientific papers indexed in Web of Science—five of which are in top-tier Q1 and Q2 journals. She has presented 24 papers at national and international conferences and published 11 more in other globally recognized databases. Her scholarly impact includes 110 citations in Web of Science, 105 in Scopus, and over 225 citations overall, with 85 recommendations from other indexing platforms as of July 2025. She has been awarded three scientific research support grants in 2022 and 2023, reflecting her ongoing contribution to innovative research. Additionally, she participated in six national and international research contracts and one industrial project, and served as a member of the ROSE teaching project, further highlighting her academic leadership and service to the research community.

🔬 Research Focus

Dr. Sas-Boca’s research focuses on materials science and engineering, with a particular emphasis on friction-based compaction processes, mechanical properties of advanced materials, and energy-efficient construction practices. Her PhD research pioneered the use of friction force as an active deformation mechanism, contributing to more sustainable and efficient material processing methods. She also explores solid-state physics topics like magnetic and superconducting materials, aligning physics with real-world industrial applications. Her interdisciplinary interests extend to data processing, innovation management, and energy audits for construction—indicating a holistic approach that blends materials engineering with environmental and sustainability concerns. Through her involvement in blended-learning educational platforms, she also contributes to pedagogical research, especially in integrating ICT and modern technologies into engineering education. Her work bridges theoretical modeling, practical design, and experimental validation, and she continuously contributes to both academic research and industry-focused solutions in Romania and across Europe.

📚 Publications

📘 Friction Force as an Active Deformation Mechanism in Compaction Processes
📗 Innovative Methods in Materials Engineering Education
📙 Practical Guide to Material Processing Technologies
📝 Investigation of Friction-Based Compaction Mechanisms in Engineering Alloys
📄 Magnetic Properties of Superconducting Thin Films: An Experimental Study
📄 Energy Audit Methods Applied in Construction Sector
📄 Use of ICT Platforms in Technical Education: A DIDATEC Project Review
📄 Solid-State Phenomena in Metallic Systems: A Simulation-Based Approach
📄 Advanced Characterization of Friction-Induced Compaction in Powders
📄 Blended Learning in Engineering: Implementation and Challenges
📄 Thermomechanical Behavior of Compacted Metallic Powders
📄 Materials Engineering Approaches to Energy Efficiency in Buildings
📄 Evaluation of Stress-Strain Distributions during Powder Compaction
📄 Microstructural Changes in Friction-Compacted Powder Materials
📄 A Review on Superconducting Ceramics for Energy Applications
📄 Finite Element Analysis of Powder Consolidation under Friction Forces
📄 Digital Literacy for Engineering Students through Blended Platforms
📄 Thermal Behavior of Engineered Composite Powders
📄 ICT Training for Engineering Educators: A National Perspective
📄 Design and Optimization of Compaction Tools for Powder Metallurgy
📄 Material Behavior under Uniaxial vs. Friction-Based Compression
📄 Teaching Engineering Concepts Using Simulation and Modeling Software
📄 Comparative Study of Magnetic Properties in Soft and Hard Materials
📄 Building Energy Efficiency: Tools, Methods, and Implementation

Hamna Baig | Engineering | Young Researcher Award

Published on 24/04/202524/04/2025 by Citation Awards

Hamna Baig | Engineering | Young Researcher Award

Ms. Hamna Baig, COMSATS University Islamabad, Attock Campus, Pakistan

Hamna Baig is a passionate and accomplished Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A Gold Medalist with a stellar CGPA of 3.66/4, she blends academic brilliance with innovation and creativity. Her work spans artificial intelligence, robotics, and smart systems—areas where she has made significant strides through hands-on projects, impactful research, and active involvement in technical writing. Hamna’s proactive participation in conferences, internships, and AI-based research projects has not only sharpened her technical expertise but also highlighted her commitment to using technology for social and environmental betterment. Adept in Python, MATLAB, LabVIEW, and embedded systems, she continues to evolve in her pursuit of excellence. Fluent in English, Urdu, and Punjabi, Hamna is driven by her curiosity, resilience, and desire to solve real-world problems through sustainable technology and intelligent systems. She is currently engaged in research and technical writing, aiming to make a lasting impact in the field.

Publication Profile

Google Scholar

Education

Hamna Baig completed her Bachelor of Science in Electrical Engineering from COMSATS University Islamabad, Attock Campus (2020–2024), graduating with distinction and securing a Gold Medal. Her final CGPA of 3.66/4 (91.5%) reflects her unwavering dedication and academic rigor. During her studies, she actively explored artificial intelligence, robotics, and embedded systems, with her thesis titled: “Enhancing Home Comfort with an Artificial Intelligence-based Environmental Control Model”. Hamna supplemented her academic journey with multiple certified online courses, including Machine Learning Specialization and Generative AI for Everyone offered by Stanford University via Coursera. Her technical training spans MATLAB, LabVIEW, Arduino, KEIL, Proteus, and microcontroller-based systems, showcasing both breadth and depth. Driven by curiosity and innovation, Hamna transformed theoretical knowledge into practical, real-world solutions through capstone projects and internships. Her continuous pursuit of learning makes her a standout in the evolving field of intelligent systems and energy-efficient technologies.

Experience

Hamna Baig has gained diverse experience through internships, research positions, and technical writing roles. She is currently an Internee at the Department of Electrical and Computer Engineering, COMSATS University Islamabad under the PEC GIT program, where she supports research on intelligent systems. Previously, she interned at the Ghazi-Barotha Hydro Power Plant (WAPDA) in 2023, gaining field exposure to power systems and operational technologies. Additionally, she works as a Technical Writer (Electrical & Electronics) with CDR Professionals, where she contributes research-based content and technical documentation. Hamna’s practical expertise includes projects in AI-driven sensing systems, robotic control, and smart energy applications. Her collaborative work on software-defined RF sensing and machine learning models demonstrates her ability to blend theoretical knowledge with real-time implementation. From smart home innovations to robotic arms and biomedical sensing, Hamna has exhibited both vision and versatility, positioning herself as a promising young engineer in AI, robotics, and embedded control.

Awards and Honors

Hamna Baig has been recognized for her academic excellence, research presentations, and contributions to intelligent systems. She earned a Gold Medal for outstanding academic performance during her Bachelor’s degree. She received Certificates of Gratitude for presenting papers at major conferences including the International Conference on Innovations in Computing Technologies (UET Peshawar), ICCSI (University of Haripur), and ICCIS (Kohat University). Her research presentations on AI-based fan control, robotic fruit harvesting, and end effector position estimation have been acknowledged for their innovation and technical depth. Additionally, she earned certifications from Coursera in prestigious Stanford-offered courses like Machine Learning Specialization and Generative AI for Everyone, showcasing her commitment to continuous learning. Her accolades reflect her dedication to cutting-edge research and meaningful contributions to the engineering community. These awards and recognitions not only celebrate her achievements but also affirm her potential as a leading innovator in AI-driven electrical and robotic systems.

Research Focus

Hamna Baig’s research is centered around Artificial Intelligence, Machine Learning, Robotics, and Wireless Sensing Systems. Her projects emphasize the application of deep learning and AI models for real-world problem-solving, particularly in healthcare monitoring, smart energy systems, and precision robotics. She has developed RF sensing platforms for gait monitoring in Parkinson’s patients, designed AI-based systems for environmental control, and contributed to machine learning-driven robotic arm control for fruit harvesting and biopsy systems. Hamna’s work also explores adaptive fan control for residential energy efficiency and wireless sensing to prevent bedsores, reflecting her commitment to tech-driven well-being. With a blend of academic rigor and engineering intuition, she is passionate about pushing the boundaries of intelligent systems to improve quality of life. Hamna continues to refine her skills in AI integration with embedded hardware, and her ongoing research contributes to the advancement of energy-aware, health-supportive, and human-centric technologies.

Publication Top Notes

📘 Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing – Electronics (2025)
🤖 Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace – IJIST Journal (2024)
🍊 A Robotic Approach for Fruit Harvesting with Machine Learning based Joint Angles Prediction – ICCSI Conference (2024)
🌬️ Artificial Intelligence based Adaptive Fan Control in Office Settings for Energy Efficiency – ICCIS Conference / Springer (2024)
🦾 A Robotic Arm Based Intelligent Biopsy System – ICCIS Conference / Springer (2024)
🛏️ Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores – IEEE Sensors (Under Review)
🏠 Enhancing Home Comfort and Energy Consumption with an AI-based Environmental Sensing Control Model – PeerJ (Under Review)
🌬️ Breathing Techniques Redefined: Pros and Cons of Traditional Methods & the Promise of SDRF Sensing – Elsevier, Digital Communications and Networks (Under Review)

zongyang hu | Engineering | Best Researcher Award

Published on 11/01/202511/01/2025 by Citation Awards

Mr. zongyang hu | Engineering | Best Researcher Award

Mr. zongyang hu, Shanghai Jiao Tong University, China

Mr. Zongyang Hu, a PhD candidate in Control Science and Engineering at Shanghai Jiao Tong University’s UMJI, has demonstrated exceptional research capabilities and innovation in process control and optimization.

Education:

2015-2019: Undergraduate in Huazhong University of Science and Technology,
major in Control Science and Engineering;

2019-present: Graduate in UMJI, PhD candidate (advisor: Prof. Mian Li), major in
Control Science and Engineering.

Professional Profiles:

Scopus Profile

Professional Experience:

Zongyang’s professional experience reflects a strong foundation in control systems, industrial automation, and algorithm design, making significant contributions to energy and manufacturing sectors.

Research Interests:

His research interests lie in process control, industrial optimization, and the development of innovative control strategies for enhancing industrial efficiency and sustainability.

Research Experience:

Process Control

Optimization of Supercritical Boiler Combustion in Wucaiwan (2019-2020)

Collaboration with the National Energy Corporation, responsible for algorithm implementation.

Control and Optimization of Tianjin Binhai Garbage Burning and Disposal (2021-2022)

Responsible for algorithm development and implementation.

Visualization of Furnace Temperature Field and Research and Application of Combustion Optimization (2023-2024)

Collaboration with the National Energy Corporation, solely responsible for combustion optimization algorithm development.

Research and Application of Steel Furnace Strip Transition Strategy Control (2024-Present)

Collaboration with Baoshan Iron and Steel Company, responsible for algorithm development.

VR/AR Research

Research and Application Demonstration of Key Technologies of Virtual Experimental Education Platform Based on 5G Network and 8K Ultra-HD Video (2021-2023)

Shanghai Municipal Science and Technology Commission project, responsible for system software and hardware construction and algorithm implementation.

Key Technology Research and Application Demonstration of Digital Workshop Virtual Monitoring and Fault Warning System Based on 5G Internet of Things (2023-2024)

Zhoushan Science and Technology Bureau project, responsible for system software and hardware construction and algorithm implementation.

Smart Energy Storage

Quantitative Evaluation Model for Electrochemical Energy Storage (2024-Present)

Huawei collaboration project, responsible for the development of fault propagation network algorithms for energy storage systems.

Publications:

Efficient model predictive control of boiler coal combustion based on NARX neutral network. Journal of Process Control, 2024, 134: 103158. (SCI, IF: 4.2)

Optimization of power plant denitrification control using online adaptive gain planning method. Electric Power Technology and Environmental Protection, 2023, 39(1): 35-42.

Collaborative optimization for deep peak-shaving and ultra-clean emission of coal-fired boiler using flue gas recycling technology. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020. DOI: 10.1080/15567036.2020.1760970. (SCI, IF: 2.902)

Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies. Structural and Multidisciplinary Optimization, 2022, 65(11): 321. DOI: https://doi.org/10.1007/s00158-022-03426-3. (SCI, IF: 4.279)

A Human-Inspired Slow-Fast Dual-Branch Method for Product Quality Prediction of Complex Manufacturing Processes with Hierarchical Variations. Advanced Engineering Informatics, Volume 64, 2025. (SCI, TOP)

Conclusion:

Mr. Zongyang Hu is a highly qualified and competitive candidate for the Best Researcher Award in engineering. His innovative research contributions, extensive publication record, and interdisciplinary approach position him as a leader in energy optimization and smart manufacturing. While opportunities exist to expand his industry collaborations and public engagement, his current achievements make him a deserving contender for this prestigious recognition.

Zhijian Hu | Engineering | Best Researcher Award

Published on 26/12/202426/12/2024 by Citation Awards

Dr. Zhijian Hu | Engineering | Best Researcher Award

Dr. Zhijian Hu, LAAS-CNRS, France

Dr. Zhijian Hu is a Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He holds a B.Eng. in Electrical Engineering from Dalian Maritime University, an M.Eng. in Control Engineering from Harbin Engineering University, and a Ph.D. in Control Science and Engineering from Harbin Institute of Technology. Dr. Hu’s research focuses on model predictive control, fuzzy control, resilient control, and smart grid applications.

Education

PhD in Control Science and Engineering from Harbin Institute of Technology, China (September 2017 – January 2022), under the supervision of Prof. Ligang Wu.

Master of Engineering in Control Engineering from Harbin Engineering University, China (September 2015 – July 2017).

Bachelor of Engineering in Electrical Engineering and Automation from Dalian Maritime University, China (September 2011 – July 2015).

Professional Profiles

ORCID Profile

Professional Experience

Research Fellow

Institution: School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore

Postdoctoral Researcher

Institution: LAAS-CNRS (Laboratory for Analysis and Architecture of Systems), Toulouse, France

PhD Candidate

Institution: Harbin Institute of Technology, Harbin, Heilongjiang, China

Field: Control Science and Engineering

Research Interests

Dr. Zhijian Hu’s research interests include:

Control Systems and Methodologies

Model Predictive Control

Robust Control and Filtering

Fuzzy Control

Distributed Control

Resilient Control

Intrusion Detection and Security Control

Reinforcement Learning

Neural Networks

Energy Systems and Applications

Power Systems

Smart Grids

Renewable Energies

Load Frequency Control

Electric Vehicles

Wind Turbines

Research Experience

MSCA Postdoctoral Fellow, LAAS-CNRS, France

Funded by the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship.

Duration: December 1, 2023 – November 31, 2025.

Collaborated with Prof. Luca Zaccarian from LAAS-CNRS, France, and Prof. Alessandro Astolfi from Imperial College London, UK.

Research Fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Conducted advanced research under the supervision of Prof. Rong Su.

Duration: March 28, 2022 – November 31, 2023.

Visiting Researcher, Electrical and Computer Engineering, Carleton University, Canada

Engaged in collaborative research with Prof. Shichao Liu.

Duration: October 2019 – November 2020.

Top Notable Publications

Resilient Frequency Estimation for Renewable Power Generation Against Phasor Measurement Unit and Communication Link Failures

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2024.3496192

Contributors: Zhijian Hu, Rong Su, Kai Zhang, Ruiping Wang, Renjie Ma

Publication Date: January 2025

A General Resiliency Enhancement Framework for Load Frequency Control of Interconnected Power Systems Considering Internet of Things Faults

IEEE Transactions on Industrial Informatics

DOI: 10.1109/TII.2024.3397400

Contributors: Zhijian Hu, Renjie Ma, Bohui Wang, Yulong Huang, Rong Su

Publication Date: 2024

A Novel Handling Method to Intermittent Feedback in Load Frequency Regulation for Renewable Energy-Dominated Microgrids

IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/TIM.2024.3457958

Contributors: Zhijian Hu, Qingyang Li, Pu Zhang, Ruiping Wang, Kai Zhang

Publication Date: 2024

Adaptive Tracking Control for Uncertain Nonlinear Multi-Agent Systems With Partially Sensor Attack

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3440394

Contributors: Guangliang Liu, Qiuye Sun, Hanguang Su, Zhijian Hu

Publication Date: 2024

Adversarial FDI Attack Monitoring: Toward Secure Defense of Industrial Electronics

IEEE Industrial Electronics Magazine

DOI: 10.1109/MIE.2023.3292988

Contributors: Renjie Ma, Zhijian Hu, Hongyan Yang, Yuchen Jiang, Mingyi Huo, Hao Luo, Rongni Yang

Publication Date: 2024

Consensus of Input Constrained Multi-Agent Systems by Dynamic Time-Varying Event-Triggered Strategy With a Designable Minimal Inter-Event Time

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2023.3332593

Contributors: Kai Zhang, Zhijian Hu, Fazhi Song, Xuefei Yang, Yang Liu

Publication Date: 2024

Distributed Secure Estimation Against Sparse False Data Injection Attacks

IEEE Transactions on Systems, Man, and Cybernetics: Systems

DOI: 10.1109/TSMC.2023.3344876

Contributors: Renjie Ma, Zhijian Hu, Lezhong Xu, Ligang Wu

Publication Date: 2024

Modeling Driver Decision Behavior of the Cut-In Process

IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/TITS.2023.3330061

Contributors: Yun Lu, Rong Su, Lingying Huang, Jiarong Yao, Zhijian Hu

Publication Date: 2024

Periodic Event-Triggered and Self-Triggered Control of Spacecraft Rendezvous System With Input Delay

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3439009

Contributors: Kai Zhang, Meilin Li, Zhijian Hu, Xuefei Yang, Kang-Kang Zhang

Publication Date: 2024

Resilient Distributed Frequency Regulation for Interconnected Power Systems With PEVs and Wind Turbines Against Temporary PMU Faults

IEEE Internet of Things Journal

DOI: 10.1109/JIOT.2024.3450725

Contributors: Zhijian Hu, Haifeng Qiu, Hassan Haes Alhelou, Rong Su, Renjie Ma

Publication Date: 2024

Conclusion

Dr. Zhijian Hu is highly deserving of the Research for Best Researcher Award due to his pioneering work in renewable energy systems, automation, and secure industrial electronics. His contributions to resilient and secure control strategies are vital for advancing energy systems, cybersecurity, and modern automation. While his research is already impactful, enhancing the practical applications of his findings and broadening international collaborations would further amplify his contributions to the global scientific and industrial communities. His commitment to advancing knowledge in critical fields positions him as a leader in engineering and technology research.

Seyed Mohammad Sharifhosseini | Engineering | Best Review Article Award

Published on 26/12/202426/12/2024 by Citation Awards

Mr. Seyed Mohammad Sharifhosseini | Engineering | Best Review Article Award

Mr. Seyed Mohammad Sharifhosseini, Shiraz University of Technology, Iran

Seyed Mohammad Sharifhosseini is an electrical engineering graduate from Shiraz University of Technology, Iran. With a strong academic foundation, he has excelled in various graduate and undergraduate courses, achieving top grades in areas such as Electrical Energy Distribution, Power System Operation, Artificial Intelligence, and Modern Control Systems.

Education

Mr. Seyed Mohammad Sharifhosseini is currently pursuing a Master’s degree in Power Systems at Shiraz University of Technology, Shiraz, Iran, where he has maintained an impressive GPA of 18.19/20 (equivalent to 3.86 out of 4). Prior to this, he completed his Bachelor’s degree in Electrical Engineering at the same university from 2017 to 2021, achieving a strong GPA of 17.51/20 (equivalent to 3.72 out of 4). His academic journey reflects consistent dedication and excellence in his field of study.

Professional Profiles

Google Scholar

Professional Experience

Teaching Assistant Roles (Shiraz University of Technology, Iran):

Industrial Drawing (Spring 2019): Assisted in the undergraduate course under the supervision of Prof. Omid Bavi. Proficient in Microsoft Office for course-related tasks.

Power System Analysis I (Spring 2020): Supported the undergraduate course under the supervision of Prof. Taher Niknam. Utilized MATLAB for computational and analytical tasks.

Power System Operation (Spring 2022): Aided in the graduate course under the guidance of Prof. Taher Niknam, focusing on advanced concepts in power systems and employing MATLAB for simulations and problem-solving.

Executive Assistant, Building Management System (BMS) (June 2022 – Present):

Currently working at ZOORIL Company, managing tasks related to Building Management Systems (BMS), contributing to system integration, and ensuring operational efficiency.

Research Interests

Power System Operation

Optimization in Power Systems

Renewable Energy Resources

Home Energy Management System

Cyber-Security in Power Systems

Academic Projects

B.Sc Thesis

Title: Dynamic Simulation of Capacitive Voltage Transformer (CVT) Considering Input Voltage Harmonics

Software Used: MATLAB

Supervised by: Prof. Amirhossein Rajaei

Description: Conducted a dynamic simulation of CVTs, focusing on the effects of input voltage harmonics.

Modern Control Project

Title: Design of Regulator, Tracker, and Observer in Linear Feedback Control System

Software Used: MATLAB/Simulink

Supervised by: Prof. Mokhtar Shasadeghi

Description: Developed advanced control systems incorporating regulators, trackers, and observers in linear feedback mechanisms.

Electrical Energy Distribution Project

Title: Detection and Location of Faults in Electric Power Distribution Networks

Supervised by: Prof. Mohsen Giti-zadeh

Description: Focused on fault detection and localization within electric power distribution systems, enhancing reliability and operational efficiency.

Power System Operation Project

Title: Economic Dispatch With Different Methods

Software Used: MATLAB

Supervised by: Prof. Taher Niknam

Description: Explored various methods for achieving economic dispatch in power systems, optimizing operational costs.

General Theory of Electrical Machines Project

Title: Simulation of Induction Machines in Synchronously Rotating Coordinates and Simulation of Single-phase Transformer with Four Types of Loads

Software Used: MATLAB/Simulink

Supervised by: Prof. Akbar Rahideh

Description: Conducted simulations of induction machines in synchronously rotating reference frames and analyzed transformer behavior under diverse load conditions.

Top Notable Publications

Accepted Publications

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

Journal: Energies (Accepted)

Authors: S.M. Sharifhosseini, T. Niknam, M.H. Taabodi, H. Asadi Aghajari, E. Sheybani, G. Javidi, M. Pourbehzadi

Enhanced Resilience in Smart Grids: A Neural Network-Based Detection of Data Integrity Attacks Using Improved War Strategy Optimization

Journal: Electric Power Systems Research (EPSR) (Accepted)

Authors: H. Asadi Aghajari, T. Niknam, S.M. Sharifhosseini, M.H. Taabodi, M. Pourbehzadi

Under Revision

Analyzing Complexities of Integrating Renewable Energy Sources into Smart Grid: A Comprehensive Review

Journal: Applied Energy (Revised)

Authors: H. Asadi Aghajari, T. Niknam, S.M. Sharifhosseini, M.H. Taabodi, E. Sheybani, G. Javidi, M. Pourbehzadi

Submitted Publications

Optimizing Rural Microgrid’s Performance: A Scenario-Based Approach Using the Improved Multi-Objective Crow Search Algorithm Considering Uncertainty

Journal: IEEE Transactions on Smart Grid (Submitted)

Authors: M.H. Taabodi, T. Niknam, S.M. Sharifhosseini, H. Asadi Aghajari, S.M. Bornapour

A Hybrid Crow Search Algorithm and Coalitional Game Theory Approach for Optimal Plug-in Electric Vehicles’ Integration in Networked Microgrids

Journal: IEEE Transactions on Industrial Informatics (Submitted)

Authors: M.H. Taabodi, T. Niknam, S.M. Sharifhosseini, H. Asadi Aghajari

Conclusion

Mr. Seyed Mohammad Sharifhosseini’s suitability for the Research for Best Review Article Award ultimately depends on:

The quality, relevance, and impact of his review articles.

His ability to communicate and disseminate the insights effectively.

His reputation within the academic community as a reviewer or thought leader in his field.

Abdullah Sukkar | Engineering | Best Researcher Award

Published on 24/12/202424/12/2024 by Citation Awards

Mr. Abdullah Sukkar | Engineering | Best Researcher Award

Mr. Abdullah Sukkar, Istanbul Technic University, Turkey

Abdullah Sukkar is a dedicated PhD candidate in Geomatics Engineering at Istanbul Technical University, Turkey, specializing in remote sensing and GIS. With expertise in advanced analytical thinking and problem-solving, he focuses on leveraging technology to address climate change and environmental hazards. Driven by a passion for science and innovation, he aims to develop sustainable solutions and contribute meaningfully to the field of Geomatics Engineering.

Education

Ph.D. in Geomatics Engineering

Institution: Istanbul Technical University, Istanbul, Turkey

Duration: 2022 – Present

Research Area: Drought, Climate Change, Remote Sensing, GIS, Environment

M.Sc. in Geomatics Engineering

Institution: Istanbul Technical University, Istanbul, Turkey

Duration: 2020 – 2022

GPA: 3.75

Thesis Title: Turkey Forest Fire Decision Support System (TFFDSS)

B.Sc. in Geomatics Engineering

Institution: Hacettepe University, Ankara, Turkey

Duration: 2014 – 2019

Honors: Honor Student

Graduation Project: Land Cover Classification Using Satellite Imagery and Deep Learning

Professional Profiles

Scopus Profile

ORCID Profile

Professional Experience

Istanbul Technical University
Geographical Information Technologies Program | Istanbul, Turkey
Teaching Assistant
Feb 2024 – Jun 2024

Facilitated student learning on course topics, GIS software tools (ArcGIS and QGIS), and Python for spatial data analysis and remote sensing applications.

Designed and assessed assignments and projects to reinforce theoretical concepts through practical application.

Provided individualized academic support, ensuring student success in mastering geospatial technologies.

Istanbul Technical University
Geographical Information Technologies Program | Istanbul, Turkey
Teaching Assistant
Sep 2022 – Feb 2023

Guided students in Python programming for GIS applications, including spatial analysis and algorithm development.

Supported project development by reviewing student proposals, advising on algorithm design, and conducting code reviews.

Department of Urban and Regional Planning | Istanbul, Turkey
Teaching Assistant
Nov 2021 – Jun 2022

Designed course materials, prepared syllabi, and aligned teaching objectives with program goals.

Introduced Python, Jupyter Notebooks, and geospatial data visualization techniques to students.

Evaluated student performance through assignments, projects, and exams.

Alya Proje | Ankara, Turkey
Geomatics Engineer
Jul 2019 – Mar 2022

Contributed to 3D modeling projects and photogrammetric mapping processes.

Produced high-resolution digital maps for various applications.

Planned and executed UAV flights to capture geospatial data for mapping and analysis.

Research Interests

Drought Monitoring and Mitigation Strategies

Climate Change Impact Analysis

Remote Sensing Applications in Environmental Monitoring

Geospatial Data Analysis and Visualization

Spatial Analysis of Vegetation Trends Using NDVI

GIS-Based Environmental Planning and Management

Integration of Python in GIS and Remote Sensing

Development of Meteorological Geodatabases

Urban and Regional Planning Using Geospatial Technologies

Research Experience

Research Assistant
Qatar University, Doha, Qatar
Apr 2023 – Jul 2023

Led the preparation of a meteorological geodatabase for Qatar covering the past 40 years, utilizing EAR5 and ERA5-Land datasets.

Applied remote sensing techniques using Google Earth Engine, Python, and QGIS to create NDVI maps, analyzing long-term vegetation trends across Qatar.

Conducted spatiotemporal analysis to explore correlations between climatic conditions and vegetation cover, contributing to the understanding of environmental changes in the region.

Top Notable Publications

Tree Detection from Very High Spatial Resolution RGB Satellite Imagery Using Deep Learning

Authors: Abdullah Sukkar, Mustafa Turker

Year: 2024

Source: Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics, and Earthquake Seismology

DOI: 10.1007/978-3-031-43218-7_34

ISBN: 9783031432170, 9783031432187

ISSN: 2522-8714, 2522-8722

Characterizing the Dynamics of Climate and Native Desert Plants in Qatar

Authors: Meshal Abdullah, Ammar Abulibdeh, Sophia Ghanimeh, Helmi Hamdi, Hezam Al-Awah, Talal Al-Awadhi, Midhun Mohan, Zahraa Al-Ali, Abdullah Sukkar, Ahmed M. El Kenawy

Year: 2024

Journal: Journal of Arid Environments

DOI: 10.1016/j.jaridenv.2024.105274

ISSN: 0140-1963

Investigating the Impacts of Climate Variations and Armed Conflict on Drought and Vegetation Cover in Northeast Syria (2000–2023)

Authors: Abdullah Sukkar, Ammar Abulibdeh, Sara Essoussi, Dursun Zafer Seker

Year: 2024

Journal: Journal of Arid Environments

DOI: 10.1016/j.jaridenv.2024.105278

Investigating Impacts of Climate Change and War on the Green Cover Area in Northeast Syria Between 2000 and 2023

Authors: Abdullah Sukkar, Sara Essoussi, Omar Alqaysi, Enes Hisam, Dursun Zafer Seker

Year: 2024

Preprint DOI: 10.5194/egusphere-egu24-20528

Conceptual Design of a Nationwide Spatial Decision Support System for Forest Fire Prevention and Fighting

Authors: Abdullah Sukkar, Ahmet Ozgur Dogru, Ugur Alganci, Dursun Zafer Seker

Year: 2024

Journal: Applied Geomatics

DOI: 10.1007/s12518-024-00556-9

ISSN: 1866-9298, 1866-928X

The Impacts of Weather Conditions and Topography on Manavgat Wildfire Behavior

Authors: Abdullah Sukkar, Anas Hesham, A. Ozgur Dogru, Dursun Zafer Seker

Year: 2022

Conference: International Symposium on Applied Geoinformatics 2021

DOI: 10.15659/isag2021.12510

Conclusion

Mr. Abdullah Sukkar appears to be a suitable candidate for the “Best Researcher Award,” provided his research aligns with the criteria and he has made significant contributions in his field. His strong academic affiliation and potential for further growth in terms of collaboration, visibility, and interdisciplinary approaches would further enhance his candidacy. If his work has already demonstrated substantial impact through publications and practical applications, he would be well-justified for consideration. However, ensuring continuous improvement in his outreach, interdisciplinary work, and methodological innovations could elevate his standing as a world-class researcher.

Mohammad Waseem | Engineering | Best Researcher Award

Published on 05/12/202417/12/2024 by Citation Awards

Dr. Mohammad Waseem | Engineering | Best Researcher Award

Dr. Mohammad Waseem, Jamia Millia Islamia New Delhi, India

Dr. Mohammad Waseem is an accomplished academic and researcher currently serving as an Assistant Professor in the Faculty of Engineering & Technology at Jamia Millia Islamia (JMI), New Delhi, India. With a strong background in mechanical engineering and extensive experience in both teaching and research, he has contributed significantly to advancing knowledge in battery technologies and energy systems.

Education:

Ph.D. in Electric Vehicle

Specialization: Design and Development of Solar Powered Assisted Hybrid E-Vehicle

Division: I

Percentage: 90%

Institution: Jamia Millia Islamia (JMI), New Delhi, India

M.Tech. in CAD/CAM

Division: I

Percentage: 83%

Institution: Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India

B.Tech. in Mechanical Engineering

Division: I

Percentage: 71.72%

Institution: G.B. Pant Engineering College, Pauri, Uttarakhand, India

Professional Profiles:

ORCID Profile

Professional Experience:

Dr. Waseem has extensive teaching experience in mechanical and energy engineering across multiple institutions. His career spans over seven years, including:

Assistant Professor and Researcher, Faculty of Engineering & Technology, Jamia Millia Islamia, New Delhi (2020–Present):

Teaching and mentoring students in mechanical and energy engineering.

Developing research initiatives and establishing advanced facilities like the Mechatronics Laboratory.

Assistant Professor, Galgotias University, Greater Noida (2019–2020):

Delivered lectures in mechanical engineering with a focus on energy systems and design.

Assistant Professor, Department of Mechanical Engineering, Integral University, Lucknow (2013–2015):

Taught courses on core mechanical engineering subjects and supervised undergraduate projects.

Research Interests:

Dr. Waseem’s research interests are focused on innovative technologies and methodologies in the field of energy systems, particularly those applicable to electric vehicles (EVs). His areas of expertise include:

Battery energy storage systems for EVs.

Simulation and modeling of batteries.

Lithium-ion and solid-state batteries.

Fuel cells.

Battery management systems (BMS) and battery thermal management systems.

Safety concerns in battery design and operation.

Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in BMS.

Charging infrastructure for EVs, including wireless power transfer techniques.

Renewable energy integration with EV systems.

ORGANIZATION OF SEMINARS AND WORKSHOPS

Volunteer, Advances in Robotics international conference, at Department of Mechanical Engg., IIT Delhi. June 28 to July 02, 2017.
Volunteer, International Conference and Exhibition on Building Utilities, at Department of Mechanical Engineering. Faculty of Engg. & Tech. Jamia Millia Islamia, New Delhi-25. Dec. 01- 03, 2016.
Volunteer, National Seminar on Solar Robotics, at Department of Mechanical Engineering. Faculty of Engg. & Tech. Jamia Millia Islamia, New Delhi-25. Oct. 08- 10, 2015.
Faculty Coordinator, Water Rocket Launch and Air Wizard Show, Department of Mechanical Engineering, at Integral University Lucknow on March 16, 2015.

Research & Development Achievements

Dr. Waseem has demonstrated leadership in academic publishing and collaboration:

Editor-in-Chief of the IFR Journal of Engineering and Natural Science, Jordan.

Reviewer for prestigious journals, including Science Direct, Springer, Wiley, IEEE, and IJAME, since 2019.

Editorial Board Member of the International Journal of Transportation Engineering and Technology (2021–2023).

Published research on modeling and analysis, such as the study of a connecting rod for a Pulsar 180CC bike (DOI: 10.1088/2631-8695/ac1727).

Top Notable Publications:

Energy Storage Technology and Electric Vehicles

Next Energy, 2025-01

DOI: 10.1016/j.nxener.2024.100202

Focus: Current progress and future outlook in energy storage and its impact on EVs.

Contributors: Mohammad Waseem, G. Sree Lakshmi, Mumtaz Ahmad, Mohd Suhaib.

Charging Infrastructure in Electric Mobility

Energies, 2024-12-05

DOI: 10.3390/en17236137

Focus: Integrated review of state-of-the-art advancements in charging infrastructure.

Contributors: Mohammad Waseem, Eniganti Sreeshobha, Kotha Shashidhar Reddy, Teresa Donateo.

Electric Vehicle Batteries and Management Techniques

Energy Storage and Saving, 2024-10-15

DOI: 10.1016/j.enss.2024.09.002

Focus: Obstacles, advancements, and recommendations in EV battery technologies.

Contributors: Mohammad Waseem, G. Sree Lakshmi, Sreeshobha Eniganti, Shahbaz Khan.

Wireless EV Charging Circuit Topologies

Green Energy and Intelligent Transportation, 2024-03

DOI: 10.1016/j.geits.2024.100196

Focus: Review of compensation converters in wireless EV charging.

Contributors: Mohammad Amir, Izhar Ahmad, Mohammad Waseem, Mohd Tariq.

Energy Storage System for E-Rickshaws in India

Book Chapter, 2023

DOI: 10.1007/978-981-99-1894-2_40

Focus: Analysis of energy storage solutions for e-rickshaws.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Aasiya Parveen, Mohd Suhaib.

Fuel Cell-based Hybrid Electric Vehicles

Green Energy and Intelligent Transportation, 2023-12

DOI: 10.1016/j.geits.2023.100121

Focus: Current status, challenges, and future prospects of fuel cell hybrid vehicles.

Contributors: Mohammad Waseem, Mohammad Amir, G. Sree Lakshmi, S. Harivardhagini, Mumtaz Ahmad.

Battery Management Systems for EVs

Journal of Power Sources, 2023-10

DOI: 10.1016/j.jpowsour.2023.233349

Focus: Challenges and advancements in battery management systems.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Aasiya Parveen, Mohd Suhaib.

Simscape Modeling for Solar Electric Traction Systems

Transactions of the Indian National Academy of Engineering, 2023-09

DOI: 10.1007/s41403-023-00408-9

Focus: Simulation and analysis of solar-assisted electric traction systems.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Mohd. Suhaib.

Renewable Solar Energy with Autonomous Vehicles

Lecture Notes in Civil Engineering, 2020

DOI: 10.1007/978-981-15-2545-2_13

Focus: Review of solar energy applications in autonomous vehicles.

Contributors: Waseem, M., Sherwani, A.F., Suhaib, M.

Integration of Solar Energy in Vehicles

SN Applied Sciences, 2019-11

DOI: 10.1007/s42452-019-1458-4

Focus: Technological advancements in solar energy integration for EVs.

Contributors: Mohammad Waseem, Ahmad Faizan Sherwani, Mohd Suhaib.

Conclusion:

Dr. Mohammad Waseem has an exemplary record of research and publications, making him a strong contender for the Research for Best Researcher Award. His work in energy storage, electric vehicles, and renewable energy aligns with critical global challenges, demonstrating both academic rigor and societal relevance. While he could enhance his profile by improving citation metrics, securing major grants, and assuming leadership roles in international research collaborations, his current achievements already position him as a distinguished researcher in his field.

Temitayo Oladimeji | Engineering | Best Researcher Award

Published on 20/11/202421/11/2024 by Citation Awards

Dr. Temitayo Oladimeji | Engineering | Best Researcher Award

Dr. Temitayo Oladimeji, Covenant University, Nigeria

Dr. Temitayo Oladimeji, a seasoned academic and researcher, is currently a Senior Lecturer at Covenant University, Ota, Nigeria. She holds a Ph.D., M.Sc., and B.Sc. in Chemical Engineering from Covenant University, Obafemi Awolowo University, and Ladoke Akintola University of Technology, respectively. With over a decade of teaching and research experience, her academic journey began at Covenant University in 2013, where she progressed through ranks, contributing significantly to the Chemical Engineering discipline.

Education:

Ph.D. in Chemical Engineering

Covenant University, Nigeria (2014–2019)

M.Sc. in Chemical Engineering

Covenant University, Nigeria (2011–2013)

B.Sc. in Chemical Engineering

Ladoke Akintola University of Technology, Ogbomoso (2003–2008)

Secondary Education

Anglican Grammar School, Ogbomoso (2000–2001)

Professional Profile:

Google Scholar

Orcid Profile

Professional Experience:

Dr. Temitayo Elizabeth Oladimeji is an accomplished academic and researcher specializing in Chemical Engineering at Covenant University, Nigeria. She holds a Ph.D. in Chemical Engineering from Covenant University, where she also obtained her MSc, building on her foundational education at Ladoke Akintola University of Technology (B.Sc. in Chemical Engineering) and further studies at Obafemi Awolowo University. Her secondary education was completed at Anglican Grammar School, Ogbomoso.

With over a decade of teaching experience, Dr. Oladimeji has held progressive academic positions, including Senior Lecturer and Assistant Lecturer at Covenant University. She has taught advanced courses such as Industrial Hazards and Environmental Pollution, Principles of Plant Design, and Chemical Engineering Laboratory Techniques. She has also contributed to administrative and advisory roles, serving as a departmental chaplain, college welfare officer, and level adviser.

Research Interests:

Her research interests span Environmental Engineering and Renewable Energy with a focus on waste-to-wealth innovations. Dr. Oladimeji has an impressive publication record, including 18 Scopus-indexed articles on critical topics such as particulate pollution, advanced CO₂ capture techniques, and renewable energy processes. She has collaborated extensively on projects involving the treatment of oil spills, activated carbon production, and industrial lubricant recycling.

Publications:

Compositional analysis of lignocellulosic materials: Evaluation of an economically viable method suitable for woody and non-woody biomass
TEO Augustine O. Ayeni, Opeyemi A. Adeeyo, Oyinlola M. Oresegun
American Journal of Engineering Research (AJER), 4(4), 14-19 (2015)
Citations: 241

Advanced techniques for the capturing and separation of CO2 – a review
OA Odunlami, DA Vershima, TE Oladimeji, S Nkongho, SK Ogunlade, et al.
Results in Engineering, 15, 100512 (2022)
Citations: 76

Production of activated carbon from sawdust and its efficiency in the treatment of sewage water
TE Oladimeji, BO Odunoye, FB Elehinafe, RO Oyinlola, AO Olayemi
Heliyon, 7(1) (2021)
Citations: 47

Data on the treatment of used lubricating oil from two different sources using solvent extraction and adsorption
TE Oladimeji, JA Sonibare, JA Omoleye, AA Adegbola, HI Okagbue
Data in Brief, 19, 2240-2252 (2018)
Citations: 46

Preparation and characterization of activated carbon from plantain peel and coconut shell using biological activators
VE Efeovbokhan, EE Alagbe, B Odika, R Babalola, TE Oladimeji, et al.
Journal of Physics: Conference Series, 1378(3), 032035 (2019)
Citations: 40

A review on treatment methods of used lubricating oil
TE Oladimeji, JA Sonibare, JA Omoleye, ME Emetere, FB Elehinafe
International Journal of Civil Engineering and Technology (IJCIET), 9(12), 506-514 (2018)
Citations: 27

Implications of lack of maintenance of motorcycles on ambient air quality
OA Odunlami, FB Elehinafe, TE Oladimeji, MA Fajobi, OB Okedere, et al.
IOP Conference Series: Materials Science and Engineering, 413, 012055 (2018)
Citations: 25

Statistical examination of the aerosols loading over Kano-Nigeria: the satellite observation analysis
ME Emetere, ML Akinyemi, TE Oladimeji
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, 25 (2016)
Citations: 25

Environmental Impact Analysis of the Emission from Petroleum
OKMOOR Oladimeji T. E., Sonibare J. A.
Energy and Environment Research, 5(1), 33-41 (2015)
Citations: 20

Modeling of criteria air pollutant emissions from selected Nigerian petroleum refineries
T Oladimeji, J Sonibare, M Odunfa, A Ayeni
Journal of Power and Energy Engineering, 3(06), 31 (2015)
Citations: 19

Conclusion:

Dr. Temitayo Oladimeji is an exemplary candidate for the Best Researcher Award due to her academic achievements, impactful research, and dedication to advancing sustainable solutions in chemical engineering. Her work is well-aligned with global environmental challenges, and her ability to produce innovative, practical solutions is a testament to her expertise. Although there is room for improvement in increasing her international exposure and diversifying her research, her existing body of work and continued contributions to the field position her as a strong contender for the award.

Wenbo Li | Engineering | Best Researcher Award

Published on 20/11/202420/11/2024 by Citation Awards

Prof. Wenbo Li | Engineering | Best Researcher Award

Prof. Wenbo Li, Northeastern University, China

Prof. Wenbo Li, hailing from Chifeng, Inner Mongolia, is a distinguished academic and researcher at Northeastern University, China, where he was exceptionally promoted to professor and serves as a doctoral supervisor. A national-level young talent, Prof. Li leads groundbreaking work as the chief young scientist of the National Key R&D Program and is the recipient of prestigious accolades such as the Liaoning Province Outstanding Youth Fund and recognition as a leading talent in Shenyang.

Education:

Doctor of Philosophy (PhD)

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2010 – December 20, 2014

Master’s Degree

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2008 – July 15, 2010

Bachelor’s Degree

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2004 – July 15, 2008

Professional Profile:

Orcid Profile

Scopus profile

Professional Experience:

Prof. Wenbo Li, a prominent academic from Chifeng, Inner Mongolia, has demonstrated exceptional achievements throughout his career. As a professor and doctoral supervisor at Northeastern University, China, Prof. Li has been recognized as a national-level young talent, highlighting his exceptional contributions to Mineral Processing Engineering. With accolades including the Liaoning Province Outstanding Youth Fund and leadership roles such as chief young scientist of the National Key R&D Program, his academic journey and leadership mark him as a distinguished researcher.

Research Interests:

Prof. Li has spearheaded transformative research in the efficient sorting and high-value utilization of strategic mineral resources like iron, rare earth, and graphite. With 23 research projects under his leadership and over ¥20 million in enterprise collaborations, his innovative approach integrates basic research, pilot testing, and engineering application. His collaborative initiatives extend globally, fostering partnerships with enterprises such as Jiusteel and institutions in Zambia, further enhancing the practical relevance of his research.

Publications:

1. Green approach for separating iron and rare earths from complex polymetallic solid residues via hydrogen-based mineral phase transformation: A pilot-scale study

Authors: Ning, J., Gao, P., Yuan, S., Sun, Y., Li, W.

Journal: Separation and Purification Technology, 2024, 350, 128006

Citations: 1

2. Recent technology developments in beneficiation and enrichment of ilmenite: A review

Authors: Wang, H., Zhang, X., Qu, R., Zhang, L., Li, W.

Journal: Minerals Engineering, 2024, 219, 109084

Citations: 0

3. A zero-carbon emission approach for the reduction of refractory iron ores: Mineral phase, magnetic property and surface transformation in hydrogen system

Authors: Li, W., Wang, H., Han, Y., Zhang, X., Han, W.

Journal: International Journal of Hydrogen Energy, 2024, 89, pp. 531–540

Citations: 0

4. High efficiency separation of bastnaesite (REFCO3) and monazite (REPO4) in mixed rare earth concentrate by heating under N2 and leaching with HCl/AlCl3

Authors: He, J., Gao, P., Yuan, S., Sun, Y., Li, W.

Journal: Hydrometallurgy, 2024, 228, 106338

Citations: 1

5. Effect of different mills on the fine grinding characteristics and leaching behaviour of gold ore

Authors: Zhang, X., Wei, H., Han, Y., Zhou, Z., Li, W.

Journal: Minerals Engineering, 2024, 215, 108800

Citations: 0

6. Thermal decomposition mechanism and kinetics of bastnaesite in suspension roasting process: A comparative study in N2 and air atmospheres

Authors: Li, W., Chen, J., Cheng, S., Sun, J., Zhang, X.

Journal: Journal of Rare Earths, 2024, 42(9), pp. 1809–1816

Citations: 2

7. A clean and green technology for iron extraction from refractory siderite ore via fluidization self-magnetization roasting

Authors: Zhang, X., Liu, P., Gao, P., Han, Y., Li, W.

Journal: Powder Technology, 2024, 444, 119993

Citations: 0

8. Isothermal and non-isothermal decomposition mechanisms of bastnaesite during the hydrogen-based mineral phase transformation

Authors: Zhang, Q., Sun, Y., Han, Y., Gao, P., Li, W.

Journal: International Journal of Hydrogen Energy, 2024, 68, pp. 929–939

Citations: 3

9. Effect of sodium carboxymethyl cellulose on the interaction between hematite particles and bubbles

Authors: Zhi, H., Dong, Z., Wang, H., Liu, J., Li, W.

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, 688, 133649

Citations: 1

10. Influence of the screw-thread rod matrix on the magnetic capture behavior of bastnaesite

Authors: Li, W., Sun, J., Zhang, X., Cheng, S., Ding, X.

Journal: Powder Technology, 2024, 440, 119738

Citations: 0

Conclusion:

Prof. Wenbo Li is a highly suitable candidate for the Best Researcher Award due to his exceptional academic credentials, significant research contributions, impactful industry collaborations, and national recognition. His work in mineral processing, rare earths, and strategic resource utilization aligns with critical global priorities. With minor advancements in interdisciplinary research and global outreach, his candidacy could be unparalleled.