issa omle |technology | Best Researcher Award

Dr .issa omle|technology | Best Researcher Award

Dr. issa omle ,Miskolc university, Hungary

Dr. Issa Omle is a distinguished academic and researcher affiliated with the University of Miskolc, Hungary. His work primarily focuses on advancing the fields of engineering and applied sciences. With a commitment to innovation and academic excellence, Dr. Omle has contributed significantly to various research projects, fostering collaboration and knowledge exchange within the international academic community. His expertise and leadership continue to impact the scientific and engineering landscape, making him a prominent figure in his field.

Summary:

Dr. Issa Omle’s combination of academic knowledge, practical engineering experience, and advanced research skills makes him a strong candidate for the Best Researcher Award. His work on thermal applications, coupled with his experience in modeling and simulation, contributes to the field’s advancement, particularly in solving complex engineering problems. His expertise in developing and applying innovative numerical methods shows a commitment to cutting-edge research.

Professional Profiles:

🎓 Education :

Ph.D. Student in Mechanical Engineering and Informatics,University of Miskolc, Hungary (Expected Completion: 2024)
Specializing in thermal applications, modeling, and simulation using ANSYS and MATLAB.,Master’s Degree in Mechanical Power Engineering,Al-Baath University, Syria (2016 – 2019),Bachelor’s Degree in Mechanical Engineering,Al-Baath University, Syria (2010 – 2015)

🏢 Experience:

Design Engineer (Part-time),Euroil Industrial and Trade Company, Hungary (2023 – Present)
Responsible for design engineering tasks, thermal modeling, and simulation using ANSYS, along with report preparation.,Modeling and Simulation Engineer,University of Miskolc, Hungary (2021 – Present)
Working on thermal analysis, modeling, and simulation using ANSYS and MATLAB as part of the FIKP3 project.,Maintenance Supervisor Mechanical Engineer,Engineering Services Directorate, Syria (2017 – 2020)
Managed mechanical studies in heating, air conditioning, and ventilation systems; supervised the maintenance of chillers and elevators.,Teaching Assistant,Al-Baath University, Syria (2015 – 2020),Taught courses in thermal engineering, engineering drawing, and modeling using ANSYS Fluent and MATLAB.

🛠️Skills:

Software Proficiency: ANSYS, MATLAB, Solidworks, AutoCAD, HAP Software, Microsoft Office.,Engineering Expertise: FEA, CFD, ANN, mechanical maintenance.,Languages: Native Arabic, Fluent English, French.

🔬Awards:

Stipendium Hungarian Scholarship Holder
Received in 2020 for doctoral studies, focusing on thermal engineering and numerical methods for heat transfer problems.

Conclusion:

Dr. Omle has the potential to win the Research for Best Researcher Award, based on his publication record, technical skills, and international academic experience. Further development in leadership roles and broader research collaborations could bolster his profile for future recognition. Overall, his contributions to thermal engineering and modeling are substantial and merit acknowledgment.

Publications :

  • Systematic Investigation of the Explicit, Dynamically Consistent Methods for Fisher’s Equation
    • Authors: Khayrullaev, H., Omle, I., Kovács, E.
    • Journal: Computation
    • Year: 2024
    • Citations: 2

 

  • Impact of Wall Roughness Elements Type and Height on Heat Transfer Inside a Cavity
    • Authors: Omle, I., Askar, A.H., Kovács, E.
    • Journal: Pollack Periodica
    • Year: 2024
    • Citations: 0

 

  • The Effect of Surface Triangular Roughness Inspired by Nature with Different Angles on the Interaction Between Free Convection and Surface Radiation in a Square Cavity
    • Authors: Omle, I., Kovács, E., Bolló, B.
    • Journal: Heat Transfer Research
    • Year: 2024
    • Citations: 2

 

  • Experimental Study of the Stability and Thermophysical Properties for Different Particle Size of Al2O3-H2O Nanofluid
    • Authors: Abed, H.H., Omle, I., Askar, A.H., Kovács, E.
    • Journal: Journal of Engineering Science and Technology
    • Year: 2023
    • Citations: 0

 

  • Applying Recent Efficient Numerical Methods for Long-Term Simulations of Heat Transfer in Walls to Optimize Thermal Insulation
    • Authors: Omle, I., Kovács, E., Bolló, B.
    • Journal: Results in Engineering
    • Year: 2023
    • Citations: 7

 

  • Comparison of the Performance of New and Traditional Numerical Methods for Long-Term Simulations of Heat Transfer in Walls with Thermal Bridges
    • Authors: Omle, I., Askar, A.H., Kovács, E., Bolló, B.
    • Journal: Energies
    • Year: 2023
    • Citations: 4

 

  • Testing Some Different Implementations of Heat Convection and Radiation in the Leapfrog-Hopscotch Algorithm
    • Authors: Askar, A.H., Omle, I., Kovács, E., Majár, J.
    • Journal: Algorithms
    • Year: 2022
    • Citations: 5

 

  • A Comparative Study of Explicit and Stable Time Integration Schemes for Heat Conduction in an Insulated Wall
    • Authors: Jalghaf, H.K., Omle, I., Kovács, E.
    • Journal: Buildings
    • Year: 2022
    • Citations: 7

 

  • Stable, Explicit, Leapfrog-Hopscotch Algorithms for the Diffusion Equation
    • Authors: Nagy, Á., Omle, I., Kareem, H., Barna, I.F., Bognar, G.
    • Journal: Computation
    • Year: 2021
    • Citations: 16

 

 

 

Guanglong Du |robotics | Best Researcher Award

Prof .Guanglong Du |robotics | Best Researcher Award

Prof . Guanglong Du ,South China University of Technology, China

Prof. Guanglong Du’s credentials, spanning from his educational background to his extensive experience in human-robot interaction, make him a strong candidate for the Best Researcher Award. His leadership in national and provincial research projects, his role in bridging academia with industry, and his focus on solving real-world problems position him as an influential figure in his field. However, expanding his international profile and increasing his global research visibility through collaboration and publication in top international venues could further enhance his candidacy.

Summary:

Dr. Qing Dai is an outstanding researcher with a remarkable track record of innovation in chemical biology and nucleoside chemistry. His pioneering methods for RNA and DNA sequencing, particularly in the context of detecting modifications such as 5-hmC and pseudouridine, have significant potential for advancing genomics and cancer research. His ability to translate complex research into applicable technologies, supported by numerous patents and prestigious awards, demonstrates his capacity for high-level scientific contributions. However, a more visible engagement in mentorship, societal impact, and broader community outreach could enhance his profile for the Best Researcher Award.

Professional Profiles:

🎓 Education :

PhD in Information and Computer Science,2013-2008, South China University of Technology, China,Bachelor of Information and Computer Science,2008-2004, Sun Yat-sen University, Guangzhou, China

🏢 Experience:

Professor, School of Computer Science and Engineering,September 2020 – Present, South China University of Technology,Leading research efforts in robotics, human-machine interaction, and artificial intelligence. Chairing multiple national and provincial research projects.,Associate Professor, School of Computer Science and Engineering,September 2016 – September 2020, South China University of Technology,Conducted research on robotics and human-robot communication. Led and participated in numerous research projects funded by both national and provincial bodies,Associate Researcher, School of Computer Science and Engineering,August 2015 – September 2016, South China University of Technology,Involved in projects related to natural human-robot interaction and industrial applications of human-machine collaboration.

🛠️Skills:

Computer Aided Design In Mechanical Engineering & Machine Learning,Expertise in applying AI technologies to human-machine interaction, robot learning, and adaptive systems,Human-Robot Communication,Skilled in designing natural interaction methods between robots and humans, with experience in developing force feedback technologies and immersive virtual environments,Project Leadership & Collaboration,Experienced in leading large-scale, multi-year research projects funded by national bodies and private enterprises. Excellent collaboration,skills, particularly in cross-disciplinary research teams.

🔬Awards:

Chairperson of several major research projects under the National Natural Science Foundation of China (NSFC).,Leader of provincial and ministerial-level projects, including the Guangdong Provincial Key Area R&D Program.

Conclusion:

Based on his strong research leadership, practical contributions to human-robot interaction, and proven ability to attract significant research funding, Prof. Guanglong Du is highly deserving of recognition as a top researcher. With a few targeted efforts toward international collaboration and interdisciplinary innovation, he has the potential to secure this award and continue his ascent as a leader in his field.

Publications :

  • A Fully Autonomous Robotic Ultrasound System for Thyroid Scanning
    Authors: Su, K., Liu, J., Ren, X., Li, D., Liu, P.X.
    Source: Nature Communications
    Year: 2024
    Citations: 2

 

  • Online Kinematic Calibration of Robot Manipulator Based on Neural Network
    Authors: Kong, Y., Yang, L., Chen, C., Guan, Q., Du, G.
    Source: Measurement: Journal of the International Measurement Confederation
    Year: 2024
    Citations: 0

 

  • Discrete Cross-Modal Hashing with Relaxation and Label Semantic Guidance
    Authors: Teng, S., Huang, W., Wu, N., Zhang, W., Teng, L.
    Source: World Wide Web
    Year: 2024
    Citations: 0

 

  • A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
    Authors: Du, G., Long, S., Li, C., Wang, Z., Liu, P.X.
    Source: IEEE Transactions on Cybernetics
    Year: 2023
    Citations: 11

 

  • An Emotion Recognition Method for Game Evaluation Based on Electroencephalogram
    Authors: Du, G., Zhou, W., Li, C., Li, D., Liu, P.X.
    Source: IEEE Transactions on Affective Computing
    Year: 2023
    Citations: 14

 

  • A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture
    Authors: Du, G., Li, Y., Su, K., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 2
  • A Mobile Natural Interactive Technique with Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks
    Authors: Du, G., Deng, Y., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 6
  • A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS
    Authors: Du, G., Zhang, L., Su, K., Teng, S., Liu, P.X.
    Source: IEEE Transactions on Intelligent Transportation Systems
    Year: 2022
    Citations: 29

 

  • An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation
    Authors: Du, G., Deng, Y., Ng, W.W.Y., Li, D.
    Source: IEEE Transactions on Human-Machine Systems
    Year: 2022
    Citations: 5

 

  • An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm
    Authors: Du, G., Yao, G., Li, C., Liu, P.
    Source: IEEE/ASME Transactions on Mechatronics
    Year: 2022
    Citations: 3