Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award

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Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award

Mr. Tohid Sharifi, Niroo Research Institute, Iran

Mr. Tohid Sharifi is a proficient electrical engineer with an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology and a B.Sc. in Electrical Power Engineering from Urmia University. His research encompasses notable projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering, and he is actively working on heat transfer investigations for advanced motor designs. With industrial experience as a CFD Specialist and Cooling System Design Engineer, he has contributed to thermal analysis for a 100kW flywheel energy storage system and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks. His research interests include power electronics, electrical machines, electric vehicles, and metaheuristics, and he holds a patent for a hybrid excited flux switching permanent magnet motor for electric vehicle applications.

Professional Profile:

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Google Scholar

Suitability for the Best Researcher Award:

Mr. Tohid Sharifi’s extensive research and industrial contributions make him an ideal candidate for the Best Researcher Award. His focus on heat transfer and cooling systems for electric motors, coupled with his work in metaheuristic optimization for motor efficiency, reflects his forward-thinking approach to solving key challenges in power electronics and energy systems. His innovative contributions to electric vehicle motor design and the optimization of thermal systems using advanced algorithms showcase his potential for significant future impact in the field.

🎓 Education:

Mr. Tohid Sharifi holds an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology (Tehran Polytechnic) and a B.Sc. in Electrical Power Engineering from Urmia University.

🛠️ Academic Projects:

His research includes significant projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering. He has also worked on heat transfer investigations for advanced motor designs, with papers under revision in prominent journals.

🏭 Industrial Experience:

In the industrial sector, Mr. Sharifi has contributed as a CFD Specialist and Cooling System Design Engineer for electric motors. He played a crucial role in thermal analysis for a 100kW flywheel energy storage system at Niroo Research Institute and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks.

🔍 Research Focus:

His research interests lie in power electronics, electrical machines, electric vehicles, metaheuristics, and heat transfer. He is also an inventor, with a patented hybrid excited flux switching permanent magnet motor for electric vehicle applications.

Publication Top Notes:

  • “An asymmetrical cascaded single-phase quasi Z-source multilevel inverter with reduced number of switches and lower THD”
    • Citations: 9
    • Published: 2020
  • “Optimal design of a synchronous reluctance motor using biogeography-based optimization”
    • Citations: 5
    • Published: 2021
  • “Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm”
    • Citations: 4
    • Published: 2021
  • “Analytical Modeling and Electrical Equivalent Circuit Extraction for a Flux Switching PM Motor for EVs”
    • Citations: 3
    • Published: 2022
  • “Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm”
    • Citations: 2
    • Published: 2022

 

 

 

 

Mr. Joseph Ghaly | AI Services | Best Researcher Award

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Mr. Joseph Ghaly | AI Services | Best Researcher Award

Mr. Joseph Ghaly, The British University in Egypt, Egypt

Joseph Ghaly is a recent graduate with a Bachelor of Engineering in Construction Engineering and Management from London South Bank University, earning a GPA of 3.5 in June 2023. His research on the “Revolutionizing Semantic Integration of Maintenance Cost Prediction for Building Systems Using Artificial Neural Networks” was published in the Journal of Building Engineering, and his graduation projects ranked among the top 5 in his cohort. Joseph has gained valuable experience through internships at leading companies such as Besix, Orascom, Ghantoot Group, and Consolidated Contractors Company, with roles in site engineering, project control, and technical office engineering. Proficient in Primavera P6, AutoCAD, SAP2000, Python, and Revit, he holds an OSHA 30 construction safety certification and possesses strong expertise in project management, construction economics, and risk management, positioning him for a successful career in the field.

Professional Profile:

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Suitability for the Award:

While Mr. Joseph Ghaly is relatively early in his research career, his academic achievements, published work, and industry experience position him as a strong candidate for the Best Researcher Award, particularly in a category recognizing emerging or early-career researchers. His work on maintenance cost prediction using artificial intelligence tools like ANNs has practical implications for the construction industry, especially in terms of improving cost efficiency and maintenance planning.

Education Background

Joseph Ghaly holds a Bachelor of Engineering in Construction Engineering and Management from London South Bank University, graduated in June 2023 with a GPA of 3.5.

Professional Experience & Internships

With experience across top-tier companies like Besix & Orascom, Ghantoot Group, and Consolidated Contractors Company, Joseph has held roles in site engineering, project control, and technical office engineering. He also completed a construction safety certification (OSHA 30) in 2024.

Skills & Expertise

Proficient in tools such as Primavera P6, AutoCAD, SAP2000, Python, and Revit, Joseph combines technical expertise with a solid foundation in project management, construction economics, and risk management.

🔧 Joseph Ghaly’s technical prowess and practical experience are paving the way for a promising career in construction engineering and management.

Publication Top Note:

  • Title : Revolutionizing semantic integration of maintenance cost prediction for building systems using artificial neural networks
  • Year : 2024

 

 

 

Mr. Congcong Ren | AI Award | Best Researcher Award

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Mr. Congcong Ren | AI Award | Best Researcher Award

Mr. Congcong Ren, Henan University of Science and Technology, China

Mr. Congcong Ren is a dedicated Master’s student in Vehicle and Traffic Engineering at Henan University of Science and Technology, with a Bachelor’s degree in Mechanical and Electrical Engineering from Henan Agricultural University. His expertise spans deep learning, algorithm development, and software testing, with practical experience in developing intelligent vehicles and defect detection systems. Mr. Ren has contributed to projects like an intelligent small car and wire rope defect detection, and he has gained hands-on experience during internships at Iflytek and Zeekr. His technical proficiency includes Python, PyTorch, and HIL test software, complemented by multiple school-level awards for innovation and entrepreneurship.

Professional Profile:

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Suitability for the Award

Mr. Congcong Ren is a highly suitable candidate for the Best Researcher Award based on the following points:

  1. Innovative Research:
    • His work on nighttime pedestrian detection and trajectory tracking addresses critical safety concerns in autonomous and intelligent vehicle systems. The use of fusion techniques combining visual and radar data showcases innovation in enhancing vehicle safety.
  2. Practical Experience:
    • His participation in significant projects like the intelligent small car and wire rope defect detection demonstrates his ability to apply theoretical knowledge to real-world challenges. These projects not only reflect technical skill but also his capability to collaborate effectively with industry partners.
  3. Academic and Professional Growth:
    • Mr. Ren’s ongoing master’s studies in artificial intelligence and traffic engineering, combined with his hands-on experience in internships at leading companies like Iflytek and Zeekr, underline his rapid professional development and adaptability in a fast-evolving field.
  4. Recognition and Skills:
    • His recognition through scholarships, awards, and publication of SCI papers highlights his academic excellence and contribution to the field. His proficiency in deep learning frameworks, coupled with practical software testing skills, positions him as a strong contender for research excellence.

Summary of Qualifications

  1. Educational Background:

    • Bachelor’s Degree in Mechanical and Electrical Engineering – Henan Agricultural University (2018-2022).
      • Major courses included Mechanical Design, Automobile Design, New Energy, and Traffic Engineering.
    • Master’s Degree (ongoing) in Vehicle and Traffic Engineering – Henan University of Science and Technology (2022-2025).
      • Major courses include Principles and Methods of Artificial Intelligence, Traffic Simulation Technology, System Control Theory, and Intelligent Network Technology.

  2. Project Experience:

    • Challenge Cup Project (2022-2023): Developed an intelligent small car with adjustable wheelbase and chassis height, integrating camera and millimeter-wave radar data for obstacle detection and avoidance.
    • Wire Rope Defect Detection Project (2023): Collaborated with Luoyang Wilrop Testing Technology Co., LTD. to improve YOLOv5s algorithm for defect detection in wire ropes using industrial camera images, meeting the project’s expected requirements.

  3. Internship Experience:

    • Iflytek (2023-2024): Tested large model voice assistant software, proficient in Android Studio and Adobe Audition, and used Python for batch pressure testing.
    • Zeekr (2024): Proficient in HIL test software (ECU-TEST, Canoe, INCA), familiar with software development processes and protocols (LIN/CAN), and involved in new energy vehicle controller testing.

  4. Technical Skills:

    • Proficient in Python, PyTorch, Matlab, Simulink, and various HIL test software.
    • Strong capabilities in deep learning, algorithm development, and software testing.
    • Recognized with school-level scholarships and awards, including the innovation and entrepreneurship competition fund.

Publication Top Notes:

1.  Study on Nighttime Pedestrian Trajectory-Tracking from the Perspective of Driving Blind Spots –  (2024).

2.  Nighttime Pedestrian Detection Based on a Fusion of Visual Information and Millimeter-Wave Radar –  (2023).

Both articles reflect his focus on advanced technologies in vehicle safety, particularly in challenging environments like nighttime driving.

Conclusion

Mr. Congcong Ren is an outstanding candidate for the Best Researcher Award, given his solid educational foundation, innovative research contributions in vehicle safety, and substantial practical experience in engineering and software testing. His ability to combine academic research with practical applications, particularly in the field of intelligent vehicle systems, makes him a deserving recipient of this award.

 

 

 

Dr. Mohamed Elhamahmy | AI – Machine Learning | Best Researcher Award

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Dr. Mohamed Elhamahmy | AI – Machine Learning | Best Researcher Award

Dr. Mohamed Elhamahmy, National Telecommunications Regulatory Authority, Egypt,

Dr. Mohamed Ezzat Elhamahmy is a Senior Expert in Cybersecurity at the National Telecommunications Regulatory Authority in Cairo and serves on the advisory board at the College of Computers and Information Technology, Arab Academy for Science, Technology and Maritime Transport. He holds a Bachelor’s in Electrical Engineering from the Military Technical College, a Master’s in Systems and Computer Engineering from Al-Azhar University, a Ph.D. in Information Technology from Cairo University, and a Professional Master’s in Political Studies and Security. Dr. Elhamahmy has extensive experience in IT and cybersecurity, having managed the Information Systems Department of the Armed Forces and established a dedicated cybersecurity unit. His expertise includes incident handling, network security, and strategic planning, supported by certifications such as CEH and CISSP. His notable contributions include advancing cybersecurity practices and education in the region.

Professional Profile🌍

Orcid
Scopus

Educational Background 🎓

Dr. Mohamed Ezzat Elhamahmy graduated from the Military Technical College in 1989 with a Bachelor’s degree in Electrical Engineering. He earned a Master’s degree in Systems and Computer Engineering from Al-Azhar University in 2001, a Ph.D. in Information Technology from Cairo University in 2011, and a Professional Master’s degree in Political Studies and Security from the Faculty of Economics and Political Science.

Professional Experience 💼

Dr. Elhamahmy has an extensive career in information technology and cybersecurity. From 1990 to 2015, he worked with the Information Systems Department of the Armed Forces, holding roles such as Systems Manager, Network Manager, and IT Manager. He specialized in cybersecurity from 2009 to 2014 and established a dedicated cybersecurity unit in 2015. He led the unit until 2019, overseeing its development, training programs, and strategic planning.

Current Roles 🏢

Since 2019, Dr. Elhamahmy has been serving as a Senior Expert in Cybersecurity at the National Telecommunications Regulatory Authority, Cairo. He is also a member of the advisory board at the College of Computers and Information Technology, Arab Academy for Science, Technology and Maritime Transport, where he lectures and supervises academic programs.

Skills and Expertise 🛠️

Dr. Elhamahmy is skilled in incident handling, research and development in network security, and strategic cybersecurity planning. His expertise includes advanced knowledge of various technologies and applications, with strong communication, problem-solving, and leadership abilities.

Certifications and Training 🏅

He has obtained numerous certifications, including Certified Ethical Hacker (CEH), Certified Information Systems Security Professional (CISSP), and CCNA. He has also completed specialized training in Oracle, Microsoft Windows Server, and various cybersecurity tools.

Contributions and Achievements 🌟

Dr. Elhamahmy is known for his significant contributions to cybersecurity, including establishing successful cybersecurity units and leading strategic initiatives. His work has greatly impacted the development of cybersecurity practices and education in the region.

Publication Top Notes:

  • Improving Intrusion Detection Using LSTM-RNN to Protect Drones’ Networks
    • Year: 2024
  • Internet of Drones Intrusion Detection Using Deep Learning
    • Year: 2021
  • A Real-Time Firewall Policy Rule Set Anomaly-Free Mechanism
    • Year: 2019
  • A Proposed Approach for Management of Multiple Firewalls Using REST API Architecture
    • Year: 2019
  • Towards a Practical Real-Time Applications of Face Verification
    • Year: 2019

 

 

 

 

Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

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Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

Assoc Prof Dr. Wenbo Zhu, Foshan University, China

👨‍🎓 Dr. Wenbo Zhu, PhD, serves as the Associate Dean and Associate Professor in the School of Mechatronical Engineering and Automation at Foshan University. 🏫 With 8 years of experience, Dr. Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from prestigious institutions. 🎓 His expertise spans image processing, pattern recognition, and artificial intelligence applications, evident through his leadership in national and provincial research projects. 🌐 Actively engaged in academic and professional organizations, Dr. Zhu holds key positions in associations like the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch. 🔬 His prolific research output includes numerous publications in esteemed journals, patents, and software copyrights, reflecting his commitment to advancing artificial intelligence. 📈 Dr. Zhu’s contributions extend beyond academia, as he collaborates with industry leaders and governmental bodies, playing a vital role in shaping the future of AI technology. 🌟

Professional Profile:

Scopus

Orcid

📚 Education:

Dr. Wenbo Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from Harbin Engineering University and South China University of Technology, respectively.

📅 Experience:

With over 8 years of experience, he serves as a Master’s supervisor and actively contributes to academic and professional organizations, including the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch.

🔍 Research Focus:

Dr. Zhu specializes in image processing, pattern recognition, and artificial intelligence applications, leading numerous national and provincial research projects. His work includes innovative contributions to panoramic vision systems and medical imaging.

🏅 Achievements:

He has published extensively in esteemed journals, showcasing his dedication to advancing research in artificial intelligence.

💡 Contributions:

As President of the Foshan Artificial Intelligence Society and a member of various national committees, Dr. Zhu collaborates with top universities and industry leaders, contributing significantly to AI development through papers, patents, and software copyrights.

Scopus Metrics:

  • 📝 Publications: 58 documents indexed in Scopus.
  • 📊 Citations: A total of 311 citations for his publications, reflecting the widespread impact and recognition of Dr. Wenbo Zhu’s research within the academic community.

Publication Top Notes:

  1. Waterproof Triboelectric Nanogenerators Based on Ag Nanoparticle/Chitosan Composites for Transmitting Morse Code
    • Published in ACS Applied Nano Materials in 2023.
    • 2 citations.
  2. High-performance triboelectric nanogenerator based on ZrB2/polydimethylsiloxane for metal corrosion protection
    • Published in International Journal of Minerals, Metallurgy and Materials in 2023.
    • 1 citation.
  3. RFCT: Multimodal Sensing Enhances Grasping State Detection for Weak-Stiffness Targets
    • Published in Mathematics in 2023.
  4. Critical electric field stabilizing structure of Al2O3/TiO2/Al2O3 thin film for achieving high energy density
    • Published in Ceramics International in 2023.
    • 3 citations.
  5. Forecasting by Combining Chaotic PSO and Automated LSSVR
    • Published in Technologies in 2023.
    • 1 citation.