Mr. Muhammad Shahzeb | System Dynamics Awards | Best Researcher Award

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Mr. Muhammad Shahzeb | System Dynamics Awards | Best Researcher Award

Mr. Muhammad Shahzeb, Sichuan University, China

Muhammad Shahzeb is a resourceful and results-driven entry-level Mechanical Engineer, China. He possesses a strong foundation in engineering principles, complemented by practical experience in design, analysis, and system optimization. Shahzeb holds a Bachelor’s degree in Mechanical Engineering from Jiangsu University of Science and Technology, where he engaged in advanced research on CNC machining and computer-aided engineering. Currently pursuing his Master’s degree in Mechanical Engineering at Sichuan University, his thesis focuses on the reliability of fully coated silicon microstructures with multi-layer films. With hands-on experience as a Mechanical Engineer Intern at China State Shipbuilding Corporation, Shahzeb contributed to equipment maintenance, technical analysis, and quality control while collaborating effectively with engineering teams. Additionally, he served as a Visiting Instructor at GOVT. College of Technology in Faisalabad, Pakistan, where he developed course materials and engaged in curriculum development. Proficient in advanced CAD software and programming languages such as C/C++ and Python, Shahzeb is committed to driving innovative engineering solutions and is eager to contribute to cutting-edge projects in the field.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award

Muhammad Shahzeb is an exemplary candidate for the Best Researcher Award due to his robust academic background, relevant work experience, and a demonstrated commitment to innovative research in mechanical engineering. Born on February 4, 1995, Shahzeb is currently pursuing his Master’s degree in Mechanical Engineering at Sichuan University, where he is conducting significant research on the reliability of fully coated silicon microstructures with multi-layer films. This advanced work showcases his capability to engage with cutting-edge technologies and contributes to the field’s knowledge base.

🎓 Education

MS in Mechanical Engineering
Sichuan University
Chengdu, China
September 2022 – May 2025
Thesis: Research Study on the Reliability of Fully Coated Silicon Microstructures with Multi-Layer Films

BS in Mechanical Engineering
Jiangsu University of Science and Technology
Zhenjiang, China
September 2016 – May 2020
Research Project: Advanced Techniques in Mechanical Manufacturing: CNC Machining and Computer-Aided Engineering (CAE)

💼 Work Experience

Visiting Instructor
GOVT. College of Technology
Faisalabad, Pakistan
September 2020 – December 2022

  • Developed and implemented course materials, ensuring alignment with learning objectives. 📚
  • Coordinated with faculty and administrative staff for smooth course delivery. 🤝
  • Contributed to departmental meetings and discussions on curriculum development. 💬

Mechanical Engineer Intern
China State Shipbuilding Corporation (CSSC), Zhenjiang Marine Auxiliary Machinery Co. Ltd.
Zhenjiang, China
June 2019 – December 2019

  • Assisted with inspection, repair, and overhaul of mechanical systems on ships. ⚓
  • Supported engineers in analyzing mechanical systems and conducting tests. 🔧
  • Aided in engineering projects by gathering data and preparing documentation. 📊
  • Helped ensure compliance with safety and operational standards. ✔️
  • Conducted research on new technologies and methods. 🔍

🏆 Achievements, Awards, and Honors

  • Excellence in Course Development: Recognized for innovative course material design at GOVT. College of Technology. 🎖️
  • Research Publication: Published a research study on microstructures, showcasing contributions to the field of mechanical engineering. 📜
  • Collaboration Recognition: Acknowledged for effective teamwork during internships and academic projects. 🤝

Publication Top Notes:

 

Prof. Olena Gumen | Modelling Awards | Best Researcher Award

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Prof. Olena Gumen | Modelling Awards | Best Researcher Award 

Prof. Olena Gumen, National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute, Ukraine

Professor Olena Gumen, based in Kyiv, Ukraine, is a distinguished academic specializing in descriptive geometry, engineering, and computer graphics. She is currently a Professor at the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” where she has been serving since January 2014. With over 180 scientific and methodical publications, Professor Gumen is a respected member of the Supreme Certifying Commission of Ukraine in Technical Sciences. Her academic career began in 2002 as a Lecturer and Associate Professor at the National Aviation University, before moving to Kyiv Polytechnic Institute in 2006. She earned her Ph.D. in Technical Sciences in 2004 and her D.Sc. in Applied Geometry and Engineering Graphics in 2011. Professor Gumen is fluent in Russian, Ukrainian, and English.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Professor Olena Gumen has an impressive academic background, with over 20 years of teaching and research experience in the fields of descriptive geometry, engineering, and computer graphics. She is a professor at the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and has contributed to the academic and scientific community through her membership in the Supreme Certifying Commission of Ukraine.

Education:

  1. 2011: DSc in Applied Geometry and Engineering Graphics.
  2. 2004: PhD in Technical Sciences.
  3. 1998: Bachelor’s Degree in Management from the National Technical University of Ukraine “Kyiv Polytechnic Institute.”

Work Experience:

  1. January 2014 – Present: Professor at the Faculty of Physics and Mathematics, Department of Descriptive Geometry, Engineering, and Computer Graphics at National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”.
  2. September 2006 – December 2013: Associate Professor in the Department of Descriptive Geometry, Engineering, and Computer Graphics at National Technical University of Ukraine “Kyiv Polytechnic Institute”.
  3. September 2002 – June 2006: Lecturer and Associate Professor at the Department of Applied Geometry and Computer Graphics at National Aviation University, Ukraine.

Publication top Notes:

Study of Synthesis Processes of Superconducting (?) MAX Phase Ti2InN

Investigation of Microclimate Parameters in the Industrial Environments

High-Temperature Oxidation of High-Entropy FeNiCoCrAl Alloys

Geometrical Simulation of Optimized Vacuum-Condensation Spraying Technology for Titanium Nitride on Structural Steel

Geometric representation of turbulent macrostructure in 3D jets

Simplified analysis of turbulence intensity in Curvilinear wall jets

Research of thermal processes in industrial premises with energy-saving technologies of heating

 

 

Prof. Changyong Chu | System Modeling Award | Best Researcher Award

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Prof. Changyong Chu | System Modeling Award | Best Researcher Award 

Prof. Changyong Chu, Hangzhou Dianzi University,China

Changyong Chu is an Associate Professor and the Executive Dean of the School of Information Engineering and the School of Mechanical Engineering at Hangzhou Dianzi University. Gansu Province, China, he holds a Ph.D. in Mechanical Manufacturing and Automation from Nanyang Technological University, Singapore, which he completed in 2007. His educational journey also includes a Master’s in Mechanical Engineering and a Bachelor’s in Mechatronic Engineering, both from Huazhong University of Science and Technology. Dr. Chu’s research interests encompass intelligent manufacturing, digital twin technology, and Model-Based Systems Engineering (MBSE), with a focus on full lifecycle product design, simulation, and verification. He has held various leadership roles in significant projects, including national and provincial initiatives aimed at advancing manufacturing processes and resource optimization. Additionally, he was a visiting scholar at Concordia University in Canada from 2017 to 2018. Dr. Chu’s contributions to the field are marked by his extensive experience in both academia and research, making him a prominent figure in the realm of manufacturing information systems.

Professional Profile:

Summary of Suitability for Best Researcher Award: Professor Changyong Chu

Research Contributions:
Professor Changyong Chu has a distinguished academic background and extensive research experience, specializing in intelligent manufacturing, digital twin technology, and Model-Based Systems Engineering (MBSE). His work spans multiple complex fields such as manufacturing systems, semantic grids, and lifecycle management, which are highly impactful and relevant to modern industrial practices.

🎓 Educational Background

  • 🎓 Ph.D. in Mechanical Manufacturing and Automation, Nanyang Technological University, Singapore (2002.09 – 2007.05)
  • 🎓 Master’s in Mechanical Engineering, Huazhong University of Science and Technology (1999.09 – 2002.07)
  • 🎓 Bachelor’s in Mechatronic Engineering, Huazhong University of Science and Technology (1995.09 – 1999.07)

💻 Specialization

  • Computer-Aided Design (CAD)
  • Semantic Grid
  • Manufacturing Information Systems

🔬 Research Interests

  • 🤖 Intelligent Manufacturing
  • 🌐 Digital Twin
  • ⚙️ Model-Based Systems Engineering (MBSE)
  • 🔄 Full Lifecycle Product Design
  • 🛠️ Simulation and Verification

🏅 Academic and Research Experience

  • 🇨🇦 Visiting Scholar, Concordia University, Canada (2017.07 – 2018.06)
  • 🎯 Project Leader, National Key Laboratory Open Fund (2022.01 – 2023.12): Innovation in Complex Product System Design Methodologies and Tools. Focused on SysML-based multi-domain product model representation and design optimization.
  • 🤖 Project Leader, Zhejiang Provincial Project (2022.01 – 2024.12): Smart production line for metallurgical refining in lifecycle management, developing intelligent deburring robots using digital twin technology.
  • 🧑‍🔬 Project Leader, National Natural Science Foundation Youth Project (2011.01 – 2013.12): Semantic-based optimization of manufacturing resource allocation.
  • 🔧 Project Leader, Zhejiang Provincial Natural Science Fund (2010.01 – 2012.12): Semantic grid resource optimization in mold manufacturing.
  • 🏭 Lead Contributor, Zhejiang Major Science and Technology Project (2007.01 – 2010.12): Collaborative CAD software development for wooden toy design.

Publication top Notes:

Study on Fault Diagnosis of Single-Group Springs of Mining Vibrating Screen

Optimization design and research of ultrasonic flowmeter based on time difference method

Energy absorption, free and forced vibrations of flexoelectric nanocomposite magnetostrictive sandwich nanoplates with single sinusoidal edge on the frictional torsional viscoelastic medium

Energy harvesting and dynamic response of SMA nano conical panels with nanocomposite piezoelectric patch under moving load

Fabrication of Silicon Nanowires by Metal-Assisted Chemical Etching Combined with Micro-Vibration

Bearing Fault Diagnosis Method Based on Deep Learning and Health State Division

Transient dynamic, energy absorption and out-phase/in-phase vibration response of coupled annular/circular SMA nanoplates assuming surface effects on frictional substrates

 

Assoc. Prof. Dr. Olena Savchenko | Modelling Awards | Best Researcher Award

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Assoc. Prof. Dr. Olena Savchenko | Modelling Awards | Best Researcher Award

Assoc. Prof. Dr. Olena Savchenko, Lviv Polytechnic National University, Ukraine

Olena Savchenko is an Associate Professor in the Department of Heat, Gas Supply, and Ventilation at the National University “Lviv Polytechnic” in Ukraine. With a Ph.D. focused on frictional heating of natural gas, she has over two decades of experience in academia. Her research interests lie in smart energy systems and district heating, and she teaches courses on energy auditing, energy efficiency, gas supply, and heat supply. Dr. Savchenko has authored 67 scientific works, including 32 articles indexed in Scopus, and holds a Hirsch Index of h=9. She is skilled in various software applications, including Microsoft Office and Camtasia Studio.

Professional Profile:

Google Scholar

Suitability Summary for the Research for Best Researcher Awards

Olena Savchenko is a highly qualified candidate for the Research for Best Researcher Awards due to her extensive academic background, substantial contributions to her field, and notable administrative roles.

🎓Education and Qualifications:

Olena Savchenko completed her undergraduate studies at the National University “Lviv Polytechnic” from 1993 to 1999, followed by postgraduate studies at the same institution from 1999 to 2003. In 2008, she earned her Ph.D. with a thesis focused on “Frictional heating of natural gas in energetic separator.” Subsequently, in 2012, she was awarded the academic title of Docent in the Department of Heat, Gas Supply, and Ventilation.

🏢Professional Experience:

Olena Savchenko began her academic career as an Assistant in the Department of Heat, Gas Supply, and Ventilation at the National University “Lviv Polytechnic” from 2003 to 2009. She then served as a Lecturer in the same department from 2009 to 2011. Since 2011, Dr. Savchenko has held the position of Associate Professor in the Department, where she continues to contribute to research and education in her field.

🏅Awards:

Olena Savchenko is the author of 67 scientific works, which include 32 articles published in the Scopus database. She has a Hirsch Index of h=9, reflecting her contributions and impact in the field of energy systems and related research.

Publication Top Notes:

  • Marketing: Educational Manual
    • Citations: 58
  • Formation of an Innovative Model for the Development of E-commerce as Part of Ensuring Business Economic Security
    • Citations: 26
  • Formation of Prices for New Production and Technical Products: (On the Example of Machine-Building Enterprises): Abstract of the Dissertation for the Degree of Candidate…
    • Citations: 11
  • CRM Systems of Hotel and Restaurant Enterprises and Views on Evaluating Their Efficiency
    • Citations: 6
  • Pricing for New Production and Technical Products: Monograph
    • Citations: 6

 

 

 

 

Assoc Prof Dr. Genping Zhao | Simulation Award | Best Researcher Award

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Assoc Prof Dr. Genping Zhao | Simulation Award | Best Researcher Award

Assoc Prof Dr. Genping Zhao, Guangdong University of Technology, China

Associate Professor at Guangdong University of Technology, specializing in the analysis and application of multi-source remote sensing images. With a Ph.D. in Information and Communication Engineering from Harbin Engineering University, Dr. [Name] has conducted extensive research in hyperspectral image processing, including a postdoctoral stint at the University of Alberta. Their work focuses on integrating hyperspectral and LiDAR data for forest applications and other environmental monitoring tasks. Recognized for their contributions to the field, Dr. [Name] has received multiple honors, including the 2023 Advanced Scientific and Technological Staff Award from Guangdong University of Technology. Their research projects span from spectral unmixing and data fusion to practical applications in agriculture and environmental health. Dr. [Name] has also collaborated on significant projects with international institutions, contributing to advancements in remote sensing technologies.

Professional Profile:

 

Summary:

The individual’s robust academic background, significant international research experience, high-impact publications, and recognition through prestigious awards make them a highly suitable candidate for the Best Researcher Award. Their contributions to remote sensing, hyperspectral image analysis, and multi-source data fusion demonstrate a high level of expertise and innovation in their field.

Education

Ph.D. Candidate, Information and Communication Engineering
Harbin Engineering University, Harbin, China
2011–2017

  • Rank: 2/29 (Top 7%)
  • Dissertation: Hyperspectral Image Unmixing Based on Tunable Archetypal Analysis

B.Sc., Signal and Information Processing
Harbin Engineering University, Harbin, China
2007–2011

  • Rank: 3/195 (Top 2%)
  • Dissertation: Hyperspectral Remote Sensing Image Classification Based on Support Vector Machine

Work and Research Experience

Associate Professor
Guangdong University of Technology, Guangzhou, China
November 2017 – Present

  • In the National Joint Engineering Research Center of Intelligent Manufacturing Information Integration System and Integration Technology
  • Responsible for research on multi-source remote sensing image analysis and applications

Postdoctoral Researcher
Centre for Earth Observation Sciences, University of Alberta, Canada
November 2018 – November 2019

  • Focused on the fusion of hyperspectral and LiDAR images in forest applications

Visiting PhD Student
The University of New South Wales, Canberra Campus, Australia
December 2014 – February 2015

  • Research collaboration with Dr. Xiuping Jia on hyperspectral image unmixing

Visiting PhD Student
The University of Western Australia, Australia
December 2013 – December 2014

  • Research collaboration with Prof. Christian Nansen on hyperspectral image processing and agricultural applications

Publication top Notes:

Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning

Motion Blur Removal for Uav-Based Wind Turbine Blade Images Using Synthetic Datasets

Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection

PEMCNet: An Efficient Multi-Scale Point Feature Fusion Network for 3D LiDAR Point Cloud Classification

Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest’s Successional Stages