Mr. Liu Weicheng | Technology | Best Researcher Award

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Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng, Shandong University of Science and Technology, China

Mr. Liu Weicheng is an accomplished Web Front-end Development Engineer, currently pursuing a Master’s Degree in Ship and Ocean Engineering at Shandong University of Science and Technology. With a Bachelor’s Degree in Automation from the same institution, he brings a wealth of experience in web development, having worked at both Shandong University of Science and Technology. In addition to his professional endeavors, Liu is dedicated to advancing research in areas such as multi-sensor information fusion and communication rate control. His academic excellence, reflected in his impressive GPAs and receipt of the National First-Class Scholarship, underscores his commitment to excellence in both academia and industry. 🌐🚀

Professional Profile:

Orcid

🎓 Educational Background:

  • Master’s Degree: Ship and Ocean Engineering, Shandong University of Science and Technology (2022 – Present)
  • Bachelor’s Degree: Automation, School of Electrical and Automation Engineering, Shandong University of Science and Technology (2018 – 2022)

🏢 Work Experience:

  • Web Front-end Development Engineer, Hangzhou XX Technology Co., Ltd. (2018.12 – Present)
    • Designed, developed, and maintained web and HTML5 products.
    • Developed mobile platform web front-end pages using HTML5 technologies.
    • Created reusable components based on HTML5.0 standards.
  • Web Front-end Development Engineer, Shanghai XX Technology Co., Ltd. (2016.08 – 2018.11)
    • Constructed front-end interfaces for apps and mini-programs.
    • Utilized React Native for front-end development, writing clean, efficient, and testable code.
    • Contributed to the design and technical discussions of core systems to enhance user experience and product usability.

📚 Research Direction:

  • Multi-sensor information fusion
  • Communication rate control based on event-triggered mechanisms
  • Deception and Control of Cyber Deception Attacks
  • Consensus filtering methods for distributed sensor networks

🎓 Academic Achievements:

  • Master’s GPA: 3.8/4
  • Bachelor’s GPA: 4.6/5
  • Coursework includes Signals and Systems, Integrated Navigation, Modern Signal Processing, Data Structure, Matrix Analysis and Applications, Automatic Control Theory, Digital Signals, Analog Signal, Fundamentals of Sensors, Probability and Statistics, Differential Game.

🏅 Honors and Awards:

  • Received National First-Class Scholarship for outstanding academic performance during the second year of undergraduate study (2013.09 – 2014.06).
  • Consistently ranked in the top 10 of the class based on academic performance.

Publication Top Notes:

  • Title: Event-triggered sequential fusion filter for nonlinear multi-sensor system with random packet dropout and composite correlated noise
  • Journal: Digital Signal Processing
  • Publication Date: July 2024

 

 

 

 

 

Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

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Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

Dr. kiomars sabzevari, Technical and Vocational University, Iran

Dr. Kiomars Sabzevari, Ph.D., is an Assistant Professor of Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran. He earned his doctoral degree in Electrical Engineering from Azad University, Kermanshah, Iran, focusing on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks. Kiomars specializes in microgrids, stochastic power systems planning and optimization, renewable generation, and stability analysis. He is actively engaged in research and teaching at TVU, leveraging his expertise in optimization, algorithms, and programming using tools like MATLAB, GAMS, and LaTeX to drive advancements in electrical power systems. 🌟

Professional Profile:

Google Scholar

🎓 Education:

Kiomars Sabzevari holds a Ph.D. in Electrical Engineering from Azad University, Kermanshah, Iran. His doctoral thesis focused on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks, with a specialization in power generation using Pareto optimization.

🔍 Research Interests:

As an Assistant Professor in Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran, Kiomars specializes in microgrids, stochastic power systems planning and optimization, optimization methods and algorithms, uncertainty modeling, renewable generation, and stability analysis.

💼 Professional Affiliation:

Kiomars is affiliated with the Department of Electrical Engineering at TVU, where he actively contributes to research and teaching endeavors in the field of electrical power systems.

🖥️ Skills & Programming:

With proficiency in optimization, algorithms, programming, and teaching, Kiomars is adept at utilizing tools such as MATLAB, GAMS, LaTeX, and various educational software to advance his research and educational initiatives.

Publications Top Notes :

  1. Modified droop control for improving adaptive virtual impedance strategy for parallel distributed generation units in islanded microgrids
    • Published in International Transactions on Electrical Energy Systems in 2019.
    • Cited by 24 articles.
  2. A novel partial transient active-reactive power coupling method for reactive power sharing
    • Published in International Journal of Electrical Power & Energy Systems in 2019.
    • Cited by 8 articles.
  3. The modeling of UPFC based on circuit elements in an exact transmission line model
    • Published in International Journal of Engineering in 2010.
    • Cited by 8 articles.
  4. Active power filter module function to improve power quality conditions using GWO and PSO techniques for solar photovoltaic arrays and battery energy storage systems
    • Published in Journal of Energy Storage in 2023.
    • Cited by 7 articles.
  5. Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults
    • Published in Scientific Reports in 2023.
    • Cited by 2 articles.

 

 

 

 

 

Dr. Edgar Martinez-Garcia | Cibernetic Robotics Award | Best Researcher Award

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Dr. Edgar Martinez-Garcia | Cibernetic Robotics Award | Best Researcher Award

Dr. Edgar Martinez-Garcia, Universidad Autonoma de Ciudad Juarez, Mexico

Dr. Edgar Martinez-Garcia is an esteemed academic with a rich background in engineering and a passion for robotics 🤖. Holding a PhD in Advanced Engineering Systems from the University of Tsukuba, Japan, and master’s and bachelor’s degrees from Instituto Tecnológico de Chihuahua and the University of Chihuahua, respectively, he has garnered numerous accolades, including distinctions in the National Research System and Best Paper Awards at international conferences 🏅. As a Full Professor at Universidad Autónoma de Cd. Juárez, he has made significant contributions to the field, serving as the Founder and Director of the Robotics Laboratory and excelling in teaching and curriculum development. His research interests span mobile robotics, cybernetic robotics, and sensor fusion, showcasing his dedication to advancing the frontier of robotics technology 🎓.

Professional Profile:

Scopus

Orcid

Google Scholar

📚 Education:

PhD in Advanced Engineering Systems, University of Tsukuba, Japan (2001-2005)
Master Degree of Science in Electrical Engineering, Instituto Tecnológico de Chihuahua, Mexico (1996-1998)
Bachelor of Engineering in Computer Engineering Systems, University of Chihuahua, Mexico (1996)

🏅 Awards and Honors:

  • Awarded Distinction SN1-1 in the National Research System by the National Council of Science and Technology
  • Recipient of Best Paper Awards at international conferences
  • Recognized as the best professor in the Department of Industrial and Manufacturing Engineering
  • Honored with prestigious scholarships and appointments for academic excellence and research contributions

👨‍🏫 Academic Experience:

  • Full Professor at Universidad Autónoma de Cd. Juárez since 2007
  • Founder and Director of the Robotics Laboratory
  • Organized seminars and served as an academic editor for journals and books
  • Taught various courses in robotics, control, sensing, and perception

📝 Certifications:

Attained Curriculum Certification in the Pedagogical Model three consecutive times

🤖 Research Interests:

Mobile robotics, Cybernetic robotics, Robot modeling and control, Scientific computing, Sensor fusion

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 80 documents indexed in Scopus.
  • 📊 Citations: A total of 318 citations for his publications, reflecting the widespread impact and recognition of Dr. Edgar Martinez-Garcia’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 555 📖
    • h-index: 13  📊
    • i10-index: 19 🔍
  • Since 2018:
    • Citations: 351 📖
    • h-index: 10 📊
    • i10-index: 11 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

 

 

 

 

 

 

Assist Prof Dr. Uğur Sorgucu | Electromagnetic Shielding | Best Researcher Award

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Assist Prof Dr. Uğur Sorgucu | Electromagnetic Shielding | Best Researcher Award

Assist Prof Dr. Uğur Sorgucu, Nevsehir Haci Bektas Veli University, Turkey

Dr. Uğur Sorgucu is an Assistant Professor with expertise in the effects of electromagnetic fields on biological systems, interdisciplinary artificial intelligence applications, soft computing, fuzzy systems, and electromagnetic compatibility (EMC). He holds a PhD in Electrical and Electronics Engineering with a focus on the thermal effects of electromagnetic fields. His research interests also include the measurement and evaluation of electromagnetic pollution caused by GSM networks. Dr. Sorgucu has extensive teaching experience in circuit theory, basic information technology use, artificial intelligence, and occupational health and safety. He has served as a Research Assistant at Nevşehir Hacı Bektaş Veli University and Bartın University.

🌐 Professional Profiles :

Google Scholar

Scopus

🎓 Education:

Dr. Uğur Sorgucu completed his Ph.D. in Electrical and Electronics Engineering with a focus on Telecommunication from Erciyes University in 2021. His thesis, “Investigation of Thermal Effects of Electromagnetic Fields with Different Methods and Modelling with Soft Calculation Methods,” was supervised by Prof. Dr. İbrahim Develi. He also holds a Master’s degree in Electrical and Electronics Engineering, specializing in Telecommunication, and a Bachelor’s degree in the same field.

👨‍🏫 Academic and Professional Background:

Dr. Sorgucu has worked as a Research Assistant at both Nevşehir Hacı Bektaş Veli University and Bartın University, where he taught courses like Circuit Theory, Circuit Lab, Basic Information Technology Use, Artificial Intelligence and Engineering Applications, Occupational Health and Safety II, and Electromagnetic Compatibility.

🔍 Research Areas:

His research interests include the effects of electromagnetic fields on biological systems, interdisciplinary artificial intelligence applications, soft computing, fuzzy systems, and electromagnetic compatibility (EMC).

🏆 Achievements:

Dr. Uğur Sorgucu has made significant contributions to the field of Electrical and Electronics Engineering, particularly in the areas of electromagnetic fields and artificial intelligence.

🌐 Community Impact:

His work has the potential to improve understanding and management of electromagnetic pollution and its effects on living organisms, as well as advance the use of artificial intelligence in engineering applications.

Publications Top Notes :

  1. Modeling of heating and cooling performance of counter flow type vortex tube by using artificial neural network
    • Published year: 2010
    • Journal: International Journal of Refrigeration
    • Cited by: 36
  2. Measurement and analysis of electromagnetic pollution generated by GSM-900 mobile phone networks in Erciyes University, Turkey
    • Published year: 2012
    • Journal: Electromagnetic Biology and Medicine
    • Cited by: 28
  3. Prediction of temperature distribution in human BEL exposed to 900 MHz mobile phone radiation using ANFIS
    • Published year: 2015
    • Journal: Applied Soft Computing
    • Cited by: 13
  4. Arama ve Aranma Sırasında GSM 900 MHz Cep Telefonunun Yaydığı Elektromanyetik Radyasyonun Değişiminin Deneysel Olarak Gözlenmesi
    • Published year: 2011
    • Journal: Elektrik-Elektronik ve Bilgisayar Sempozyumu, Fırat Üniversitesi, Elazığ
    • Cited by: 6
  5. Head equivalent liquids: A review on composing, recipes and standards
    • Published year: 2016
    • Journal: Proceedings of the World Congress on Electrical Engineering and Computer
    • Cited by: 5

 

 

 

 

 

Mr. Eric Jacob Bacon | Digital Signal processing

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Mr. Eric Jacob Bacon : Leading Researcher in Digital Signal processing

Mr. Eric Jacob Bacon, Northeastern University, China

🎓 Bringing a wealth of expertise with a Ph.D. in Biomedical Engineering and a solid foundation, holding Master and Bachelor degrees in Software and Electrical Engineering. With close to two years of professional experience in Electrical Engineering and a strong background in ICT and Software Engineering, He thrives in interdisciplinary settings. Her passion is harnessing technology to transform healthcare, highlighted in her innovative Ph.D. research and impactful software contributions. He enthusiastic about leading projects that seamlessly integrate healthcare, computer technologies, and electrical engineering to encourage collaboration and fuel societal innovation. 🌟

🌐 Professional Profiles : 

Scopus

ORCID

Professional & Technical Skills 🚀🔧

In the realm of academia, He have cultivated a proficiency in crafting meticulously researched and well-articulated scientific papers. Her expertise extends to presenting complex findings in a clear, concise, and academically rigorous manner. Specializing in AI and Digital Signal Processing, her technical skills are finely tuned to contribute to the forefront of technological advancements. 📝🔬

Algorithm Development and Optimization 🧠📊 He adept at crafting advanced algorithms for medical imaging analysis, focusing on refining Classification, Detection, and Segmentation processes. Her dedication to precision-driven efficiency ensures accurate and streamlined outcomes in AI and data analysis processes. 🔄💻

Software and Tools Mastery 🛠️ Proficient in an extensive suite of statistical and data analysis tools, including SPSS, PyTorch, SPM, Tensorflow, and other industry-standard applications. Leveraging these tools, He conduct sophisticated analyses and draw robust conclusions. 📊🔍

Networking and Electrical Technologies Proficiency ⚡🌐 In the domain of networking and electrical technologies, He excel at optimizing systems for enhanced efficiency and performance. Demonstrating proficiency, He design and implement robust, scalable solutions within this dynamic field. 💡🔌

Programming Abilities and Database Technologies 💻📚 Proficient in multiple programming languages, such as Python, MATLAB, and Java, He contribute to streamlined and efficient software development processes. Additionally, her knowledge in various database technologies enables efficient data storage, retrieval, and management. 🖥️🗃️

Multilingual Communication Skills 🌐🗣️ Fluent in both French and English, He facilitate effective communication in diverse academic and professional settings. Possessing advanced Mandarin skills further enhance her global communication capabilities, fostering collaboration across linguistic boundaries. 🌍🗨️

Advanced Data Analytics 📈🔍 With a proven ability to derive actionable insights from diverse datasets, He employ cutting-edge analytical techniques to uncover valuable information, contributing to informed decision-making and innovation. 🧮💡

Publications ( Top Note ) :

1.  Epileptogenic Zone Localization in Refractory Epilepsy by FDG-PET: The Comparison of SPM and SPM-CAT with Different Parameter Settings

2.  Functional and effective connectivity analysis of drug-resistant epilepsy: a resting-state fMRI analysis

3.  Cortical Surface Analysis for Focal Cortical Dysplasia Diagnosis by using PET Images

4.  Resting-State Functional Connectivity Analysis Using an Independent Component Approach

5.  Neuroimage Analysis Using Artificial Intelligence Approaches: A Systematic Review

 

 

 

 

Dr. Imran Iqbal | Network Protocols, Technology and Communication

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Dr. Imran Iqbal : Leading Researcher in Network Protocols, Technology and Communication

Dr. Imran Iqbal, Helmholtz-Zentrum Hereon, Germany

Congratulations, Dr. Imran Iqbal, on winning the esteemed Best Researcher Award from ScienceFather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.

Dr. Imran Iqbal, seamlessly integrates diverse academic achievements and professional experiences, demonstrating expertise in applied mathematics, deep learning, and scientific computing. Her current research at Helmholtz-Zentrum Hereon reflects a commitment to advancing knowledge in the dynamic field of stem cell-biomaterial interaction. A dedicated researcher with a track record of academic excellence and real-world contributions.

Professional Profiles:

.   Google Scholar

.   ORCID

.   LinkedIn 

.   GitHub

 

🎓 Education:
  1. Master of Science in Mathematical Modeling and Scientific Computing 🎓✨
    • Faculty of Basic and Applied Sciences
    • Air University, Islamabad, Pakistan
  2. Master of Information Technology 🖥️🌐
    • Department of Computer Sciences
    • Isra University, Hyderabad, Pakistan
  3. Bachelor of Computer and Information Technology 🎓 🖥️
    • Department of Computer Sciences
    • University of Sindh, Jamshoro, Pakistan
Awards and Honors: 🏆
  1. China Scholarship Council (CSC)
    • Award: CSC for PhD Program
    • Duration: Sep 2016 – Jul 2021
    • Date: July 2016
  2. Peking University International Students Excellence Award 2020
    • Award: Excellence Award
    • Date: Dec 2020
  3. Ministry of Education Award for Outstanding International Students 2020 in China
    • Award: Outstanding International Student Award
    • Date: Dec 2020
  4. Innovation Information Biologisation (I2B) Funds for Postdoc Project
    • Award: I2B Funds
    • Duration: Sep 2021 – Jan 2024
  5. Helmholtz Information and Data Science Academy Trainee Network
    • Grant: Helmholtz Visiting Researcher Grant
    • Duration: 2022-23
    • Date: June 2022

Your achievements reflect your dedication and excellence in your academic and research endeavors. Best of luck in your future endeavors! 🌟

Research Interests: 🌐📚🔍
  1. Computer Vision, Pattern Recognition, Image Processing 🌐‍🔍
  2. Machine Learning, Deep Learning, Convolutional Neural Networks📚🧠
  3. Classification and Segmentation of lesions/abnormalities in Medical Images🩺🔬

Your focus on applying advanced technologies like machine learning and deep learning to medical image analysis is crucial for improving diagnostics and healthcare outcomes. Best of luck with your research journey! 🚀

Journal Reviewer:
  • Applied Artificial Intelligence Journal
    • Duration: Aug 2020 – July 2021 📝📰
  • Artificial Intelligence Review, Springer; Journal of Ambient Intelligence and Humanized Computing, Springer; Computer Methods and Programs in Biomedicine, Elsevier; Applied Computing and Informatics, Emerald; IEEE Access, IEEE; World Journal of Gastroenterology, Baishideng; World Journal of Gastrointestinal Oncology, Baishideng; PLOS ONE, Public Library of Science; Biomedical Physics & Engineering Express, IOPscience; Physics in Medicine and Biology, IOPscience; Engineering Research Express, IOPscience. 📚👩‍💻
Conference Reviewer:
  • The 10th and 12th International Conference on Biomedical Engineering and Biotechnology
    • Date: 15–18 Nov 2021, Suzhou, China; 17–20 Nov 2023, Macao, China  🩺🔬
  • The 5th International Conference on Machine Learning and Intelligent Systems
    • Date: 14 – 17 Aug 2023, Belgrade, Serbia  📊🧠
  • The 8th International Conference on New Energy and Future Energy Systems
    • Date: 21 – 24 Nov 2023, Matsue, Japan  🌏🌱

Your contributions to the peer review process in journals and conferences demonstrate your active involvement in shaping and maintaining the quality of academic content. Kudos to your dedication! 🌟👏

Google Scholar Metrics:  🌐

All Time:

  • Citations: 242 📚
  • h-index: 8 📊
  • i10-index: 5 🔢

Since 2018:

  • Citations: 241 📖
  • h-index: 8 📈
  • i10-index: 5 🔍

These metrics highlight the reach and influence of your scholarly work. Keep up the excellent contribution to the academic community! 🌐👩‍🎓

Publications ( Top Note ) :

1.   Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

.  Published in Intelligent Systems with Applications in  2021 with 90 citations.

2.   A review on polysaccharides from Artemisia sphaerocephala Krasch seeds, their extraction, modification, structure, and applications

.  Published in Carbohydrate Polymers in 2021 with 44 citations.

3.   Deep learning-based morphological classification of human sperm heads

.  Published in Diagnostics in 2020 with 32 citations.

4.   Synthesis of bimetallic nanoparticles loaded on to PNIPAM hybrid microgel and their catalytic activity

.  Published in Scientific Reports in 2018 with 21 citations.

5.   Deep learning‐based automated detection of human knee joint’s synovial fluid from magnetic resonance images with transfer learning

.  Published in IET Image Processing in 2020 with 11 citations.

6.   Reduction of threading dislocations in GaN grown on patterned sapphire substrate masked with serpentine channel

.  Published in Materials Science in Semiconductor Processing in 2021 with 9 citations.

7.   Comparative investigation of learning algorithms for image classification with small dataset

.  Published in Applied Artificial Intelligence in 2021 with 9 citations.