Prof. Weijun Hu | Network Virtualization | Best Researcher Award

Posted on by ScienceFather

Prof. Weijun Hu | Network Virtualization | Best Researcher Award

Prof. Weijun Hu | Jilin University | China

Dr. Hu Weijun 🎓 is a Professor and Doctoral Supervisor at Jilin University’s College of Archaeology 🏛️. With a PhD in Art 🎨 and a Postdoctoral Fellowship in Chinese Language and Literature 📚, he excels in brand strategy, museum exhibition design 🖼️, cultural product design 🎁, and intangible cultural heritage protection 🌏. A former visiting scholar to the U.S. 🌍, he has led over 20 research projects 📊 and published 60+ academic papers 📄 and 14 books 📖. As an Adobe Certified Creative Designer 💻, he’s received prestigious awards 🏆 like “China Design 40 Years Emerging Designer.”

Professional Profile:

ORCID

Suitability for the Best Researcher Award

Dr. Hu Weijun is a highly accomplished academic and researcher whose multidisciplinary expertise spans archaeology, art, cultural heritage, and design. His diverse academic background, combined with practical achievements, demonstrates his ability to bridge traditional cultural studies with modern applications. His leadership in over 20 research projects and authorship of more than 60 academic papers and 14 books reflect his strong research productivity and contribution to knowledge

Education & Experience 

  • 🎓 PhD in Art – Advanced expertise in creative disciplines
  • 📚 Postdoctoral Fellowship in Chinese Language & Literature – Specialized research focus
  • 🌍 Visiting Scholar in the United States – International academic exposure
  • 👨‍🏫 Professor & Doctoral Supervisor – Department of Cultural Heritage, Jilin University
  • 🏛️ College of Archaeology, Jilin University – Leading academic institution

Professional Development 

Dr. Hu Weijun’s professional journey is marked by diverse achievements 🌟. He has led 20+ major research projects 📊, including those funded by the National Social Science Foundation of China 🇨🇳 and the China Postdoctoral Science Foundation 📑. His work spans brand strategy 💼, museum exhibition design 🏺, cultural product development 🎨, and social innovation design 🤝. As an Adobe Certified Creative Designer 💻, he bridges academia and creative industries, influencing both sectors. His designs have been featured in exhibitions 🎭 like the China Youth Design Art Biennale and documented in top publications 📚.

Research Focus 

Dr. Hu Weijun’s research focuses on cultural heritage protection 🌏, blending traditional values with modern design thinking 🎨. His work includes brand strategy development 💼, museum exhibition design 🏛️, and innovative cultural product creation 🎁. He emphasizes social innovation design 🤝 to address contemporary challenges through cultural narratives. Additionally, he’s dedicated to safeguarding intangible cultural heritage 🌐, ensuring cultural continuity in a globalized world 🌍. His interdisciplinary approach connects history, art, and technology, fostering creative solutions for cultural preservation 📖.

Awards & Honors 

  • 🏆 “China Design 40 Years Emerging Designer” Award – Recognizing innovative design excellence
  • 🖼️ Featured in China Youth Design Art Biennale – Celebrating artistic achievements
  • 📚 Published in China Design Yearbook – Highlighting influential design contributions
  • 💻 Adobe Certified Creative Designer – Credentialed for advanced creative skills
  • 🏅 Leader of 20+ National Research Projects – Recognized for academic excellence

Publication Top Notes:

  • 📚 Authentic Leadership: Bridging the Gap Between Perception of Organizational Politics and Employee Attitudes in Public Sector Museums – Humanities and Social Sciences Communications
  • 📡 Beyond Bookshelves: How 5/6G Technology Will Reshape Libraries – Technology in Society
  • 🏛️ Intangible Cultural Heritage Research in China: From the Perspective of Intellectual Property Rights – Humanities and Social Sciences Communications
  • 🏢 Impact of Perceived Supervisor Support: On Employees’ Intention to Leave in Public Sector Museums – Frontiers in Psychology
  • 🧠 Intelligent Software-Driven Immersive Environment: For Online Political Guiding via Brain-Computer Interface – Automated Software Engineering
  • 🌍 Causal Effects of Imports & FDI: On Indigenous Innovation in Developing Countries – International Journal of Emerging Markets

 

 

 

Dr. Ugur Koklu | Network Machining | Best Researcher Award

Posted on by ScienceFather

Dr. Ugur Koklu | Network Machining | Best Researcher Award

Dr. Ugur Koklu, Karamanoglu Mehmetbey University, Turkey

Prof. Dr. Ugur Koklu is a distinguished academic in the field of mechanical engineering, currently serving as a professor at Karamanoğlu Mehmetbey University in Turkey. He earned his Ph.D. in machining from Marmara University and holds both an M.Sc. and B.Sc. in Mechanical Engineering from Dumlupinar University. With over 60 publications in peer-reviewed journals and conference proceedings, Prof. Koklu has made significant contributions to the field of machining, particularly in conventional machining of metals and composite materials. His research is recognized for its practical applications in advanced manufacturing, with a focus on solving real-world industrial challenges. He is also an active reviewer for renowned international publishers, including Elsevier, Springer, and SAGE. Prof. Koklu’s work bridges the gap between academia and industry, enhancing the understanding and application of machining processes in modern manufacturing systems. 🛠️📚🔬

Professional Profile

Scopus
Orcid
Google Scholar

Suitability for Award

Prof. Dr. Ugur Koklu is highly deserving of the Research for Best Researcher Award due to his significant contributions to the field of mechanical engineering and advanced manufacturing. His expertise in machining, particularly the conventional machining of metals and composites, has led to over 60 publications in esteemed journals and conferences. Prof. Koklu’s research has provided cutting-edge solutions to real-world problems in manufacturing, demonstrating his ability to bridge the gap between academia and industry. His role as a reviewer for top international publishers further underscores his influence in the field. His ongoing commitment to advancing machining technologies, coupled with his academic leadership, positions him as a leading researcher. Prof. Koklu’s work continues to shape the future of manufacturing, making him a prime candidate for this prestigious award. 🏆🔧🌍

Education 

Prof. Dr. Ugur Koklu has a solid educational foundation in mechanical engineering. He obtained his Ph.D. in machining from Marmara University in Istanbul, Turkey, in 2010, where his research focused on advancing machining techniques. Prior to that, he earned an M.Sc. in Mechanical Engineering from Dumlupinar University in 2005, specializing in manufacturing processes. Prof. Koklu completed his B.Sc. in Mechanical Engineering at Dumlupinar University in 2001. His academic journey has equipped him with a deep understanding of mechanical engineering principles, particularly in machining and manufacturing technologies. This strong educational background has served as the cornerstone for his groundbreaking research and contributions to the field of advanced manufacturing. 📚🎓🛠️

Experience

Prof. Dr. Ugur Koklu currently holds the position of Professor in the Department of Mechanical Engineering at Karamanoğlu Mehmetbey University in Karaman, Turkey, a role he has held since 2019. Throughout his career, Prof. Koklu has worked in close collaboration with industry experts, focusing on the practical application of advanced manufacturing techniques to address real-world challenges. His research primarily involves conventional machining of metals and composite materials using experimental techniques. Prof. Koklu has also contributed to the academic community as a regular reviewer for leading international publishers such as Elsevier, Springer, and SAGE. His extensive experience in both academia and industry enables him to offer valuable insights into the future of machining and manufacturing. Prof. Koklu’s leadership and expertise have earned him a respected position in the field of mechanical engineering, where he continues to contribute to the advancement of manufacturing technologies. 🏫🔬🤝

Awards and Honors 

Prof. Dr. Ugur Koklu’s career has been marked by numerous accolades recognizing his contributions to mechanical engineering and manufacturing. His research has been published extensively in top-tier journals, and his work has earned him widespread recognition within the academic community. Prof. Koklu has been honored with various awards for his outstanding contributions to machining and manufacturing research, further establishing his reputation as a leader in the field. He has also been recognized for his role as a reviewer for prestigious international publishers, including Elsevier, Springer, and SAGE, a testament to his expertise and influence in the academic community. Prof. Koklu’s achievements reflect his dedication to advancing machining technologies and his commitment to bridging the gap between academic research and industrial application. His work continues to inspire the next generation of researchers and engineers in the field of mechanical engineering. 🏅🎖️🌟

Research Focus 

Prof. Dr. Ugur Koklu’s research focuses on network machining, manufacturing processes, metal cutting, drilling, and composites. He is particularly interested in the conventional machining of metals and composite materials, employing experimental techniques to enhance manufacturing efficiency and precision. His work aims to improve the understanding and application of machining technologies in industrial settings, addressing the challenges of modern manufacturing systems. Prof. Koklu’s research also explores innovative methods for optimizing machining processes, with a focus on improving quality, productivity, and sustainability in manufacturing. His contributions to the field have provided valuable insights into the practical applications of machining techniques in industries ranging from aerospace to automotive. Through his research, Prof. Koklu continues to drive advancements in machining technology, contributing to the development of more efficient and effective manufacturing processes. 🛠️🔩📊

Publication Top Notes

  • Title: Cryogenic Machining of Carbon Fiber Reinforced Plastic (CFRP) Composites and the Effects of Cryogenic Treatment on Tensile Properties: A Comparative Study
    • Cited by: 206
    • Year: 2018
  • Title: An Experimental Study on the Effects of Various Drill Types on Drilling Performance of GFRP Composite Pipes and Damage Formation
    • Cited by: 124
    • Year: 2019
  • Title: The Effects of Stacking Sequence on Drilling Machinability of Filament Wound Hybrid Composite Pipes: Part-1 Mechanical Characterization and Drilling Tests
    • Cited by: 112
    • Year: 2020
  • Title: Influence of Molding Conditions on the Shrinkage and Roundness of Injection Molded Parts
    • Cited by: 98
    • Year: 2010
  • Title: The Effects of Stacking Sequence on Drilling Machinability of Filament Wound Hybrid Composite Pipes: Part-2 Damage Analysis and Surface Quality
    • Cited by: 96
    • Year: 2020

 

Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

Posted on by ScienceFather

Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

Mr. Muhammad Riaz, KP TEVTA, Pakistan

Mr. Muhammad Riaz is a dedicated educator and researcher with expertise in electrical engineering, specializing in power systems and sustainable energy solutions. He holds a Master’s in Electrical Engineering from the University of Wah, where his thesis focused on optimizing power flow in renewable energy-integrated systems. With extensive experience in teaching, laboratory management, and fieldwork, Mr. Riaz has a proven track record of mentoring students and advancing practical engineering solutions. Passionate about smart grids, artificial intelligence, and control systems, he is committed to shaping the next generation of engineers while contributing to innovative energy solutions.

Professional Profile

Orcid

Suitability for Best Researcher Award

Mr. Muhammad Riaz’s dedication to advancing sustainable energy solutions and his impactful contributions to electrical engineering make him a strong candidate for the Best Researcher Award. His research on optimal power flow and renewable energy integration addresses critical challenges in modern power systems. His academic achievements, teaching excellence, and commitment to mentoring future engineers highlight his multifaceted contributions to the field. Mr. Riaz’s innovative approach and focus on practical solutions align perfectly with the award’s vision of recognizing transformative research.

Education

Mr. Muhammad Riaz completed his Master’s in Electrical Engineering at Wah Engineering College, University of Wah, in 2021, specializing in Power Engineering. His thesis, “Optimal Power Flow Solution of Modified IEEE 30 Bus System Integrated with Renewable Energy Sources,” highlights his focus on integrating renewable energy into power systems. He earned his Bachelor’s in Electrical Engineering from Bahria University Islamabad in 2018, where he designed a battery-free MPPT solar inverter as his final year project. His academic journey reflects a strong foundation in electrical and electronics engineering, complemented by minors in computer and communication engineering.

Experience

As a Lecturer at the Govt. Technical & Vocational Training Authority KP since 2021, Mr. Riaz has designed comprehensive lesson plans and delivered engaging lectures on motors, generators, PLCs, and solar PV systems. He also mentors students, fostering innovation and critical thinking. Previously, as a Lab Engineer at Wah Engineering College, he developed and implemented laboratory experiments, collaborated with faculty to optimize resources, and maintained equipment for effective teaching. His hands-on experience and dedication to teaching underscore his commitment to advancing electrical engineering education.

Awards and Honors

  • Fully Funded Scholarship: Secured a scholarship for BEE from the ICT R&D Fund, Government of Pakistan.
  • Rector’s Honor List: Recognized with Cum Laude distinction at Bahria University Islamabad.
  • Prime Minister Laptop Scheme: Awarded under the national initiative for academic excellence.
    These accolades reflect Mr. Riaz’s academic excellence and commitment to professional growth.

Research Focus

Mr. Muhammad Riaz’s research focuses on smart grids, optimal power flow, and the application of artificial intelligence in power systems. His work emphasizes sustainable energy solutions, including the integration of renewable energy into existing grids. His interests extend to control systems and optimization algorithms, aiming to enhance energy efficiency and reliability. His research aligns with global efforts to address energy challenges through innovative and intelligent systems.

Publication Top Notes

  • Article: An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer
    • Year: 2021
  • Article: An Optimization-Based Strategy for Solving Optimal Power Flow Problems in a Power System Integrated with Stochastic Solar and Wind Power Energy
    • Year: 2021
  • Conference Paper: An Innovative Model Based on FCRBM for Load Forecasting in the Smart Grid
    • Year: 2020
  • Conference Paper: Day Ahead Electric Load Forecasting by an Intelligent Hybrid Model Based on Deep Learning for Smart Grid
    • Year: 2020

 

 

Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Posted on by ScienceFather

Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Prof. Dr. Resul Das, Firat Universtiy, Turkey

Prof. Dr. Resul Das is a Full Professor in the Department of Software Engineering at Firat University, Turkey, specializing in software engineering, cyber security, data science, and IoT solutions. He earned his Ph.D. in Electrical-Electronics Engineering from Firat University and later pursued postdoctoral research at the University of Alberta, Canada, where he focused on multi-sensor data fusion and IoT security. Prof. Dr. Das has a strong academic background, with research interests spanning agile software development, network management, machine learning, and smart applications. He has received numerous awards, including TÜBiTAK’s Academic Publication Encouragement Award and the European Union’s Leonardo Da Vinci Education Grant. Prof. Dr. Das is also an active member of professional associations, including the Cisco Networking Academy and the Vocational and Technical Education Development Association. ✨🎉

Publication Profile:

Scopus
Orcid
Google Scholar

Suitability for the Award

Prof. Dr. Resul Das’s extensive academic contributions, global research impact, and leadership in advancing education and research make him a highly suitable candidate for the Research for Best Faculty Award. His work in IoT security, graph data science, and fog computing has not only addressed critical technological challenges but also influenced subsequent research and applications. 💡💥

Academic Background

Prof. Dr. Resul Das earned his Ph.D. in Electrical-Electronics Engineering from Firat University, Turkey (2008), with a focus on Knowledge Extraction from Web User Access Logs. He also completed his M.Sc. in Electronics and Computer Science (2002) from the same institution, specializing in Video Conference System Design. 🔐💡

Research Interests

His expertise spans Software Engineering, Computer Networks, Cyber Security, Data Science, and IoT/M2M Solutions, particularly in multi-sensor data fusion, IoT security, smart grids, fog computing, and big data. His work on cyber-attacks, machine learning, and network optimization contributes to advancing modern tech infrastructure. 🎉💡

Professional Career

Currently a Full Professor at Firat University, Dr. Das has held notable positions as a Visiting Professor at the University of Alberta, Canada, and has led numerous successful research projects in IoT security and data fusion. His contributions have earned him several prestigious awards, including TÜBiTAK Academic Publication Encouragement Award (16 times) and the EU Leonardo Da Vinci Education Grant (2006). 🌍✨

Global Recognition

A TÜBiTAK International Postdoctoral Research Fellowship recipient, Prof. Dr. Das has also contributed significantly as a Cisco Networking Academy Instructor and Project Coordinator. His work has been recognized globally for its impact on cyber security and data science advancements. 🔐💡🌍

Publication Top Notes:

  • Effective diagnosis of heart disease through neural networks ensembles
    • Citations: 848
    • Year: 2009
  • Cyber-security in smart grids: Threats and potential solutions
    • Citations: 729
    • Year: 2020
  • A comparison of multiple classification methods for diagnosis of Parkinson’s disease
    • Citations: 486
    • Year: 2010
  • Performance analysis of classification algorithms on early detection of liver disease
    • Citations: 221
    • Year: 2017
  • A novel honeypot-based security approach for real-time intrusion detection and prevention systems
    • Citations: 139
    • Year: 2018

 

 

Dr. Venkata Lakshmi S | AI in Networking | Women Researcher Award

Posted on by ScienceFather

Dr. Venkata Lakshmi S | AI in Networking | Women Researcher Award

Dr. Venkata Lakshmi S, Sri Krishna College of Engineering and Technology, India

Dr. Venkata Lakshmi S, a seasoned professional with 20 years of experience, currently serves as the Professor and Head of the Department of Artificial Intelligence and Data Science at Sri Krishna College of Engineering and Technology, Coimbatore. Holding a Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University, she has contributed significantly to academia with roles such as Assistant Professor and Head of the Department in esteemed institutions. Dr. Venkata Lakshmi has a diverse portfolio of subjects she has taught, including Data Warehousing, Cryptography, Wireless Sensor Networks, and more. Her research interests span machine learning, image processing, and AI applications in diverse fields. She has guided numerous impactful projects, ranging from agricultural crop yield prediction to breast cancer detection using advanced technologies. Apart from her academic prowess, Dr. Venkata Lakshmi actively engages with industry through MOUs, internships, and campus connect lectures. Her commitment to quality education is evident through her roles as a mentor, evaluator, and active involvement in various academic committees and initiatives.

🌐 Professional Profiles :

Google Scholar

📚 Education:

  • Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University (2011-2018)
  • M.E. in Computer Science and Engineering from Dr.MGR Deemed University, Chennai (2003-2005)
  • B.E. in Computer Science and Engineering from The Indian Engineering College, Manonmaniam Sundaranar University, Tirunelveli (1995-1999)

👩‍💼 Professional Experience:

  • Professor and Head of the Department at Sri Krishna College of Engineering and Technology, Coimbatore (July 2020 – Present)
  • Assistant Professor Grade I at Panimalar Institute of Technology, Chennai (May 2014 – April 2020)
  • Assistant Professor at Vel Tech Dr.RR & Dr.SR Technical University, Chennai (January 2006 – May 2013)
  • Lecturer at various esteemed institutions from 1999 to 2006

🔍 Projects:

  • Voice and Video Conferencing Security
  • Agricultural Crop Yield Prediction
  • Bitcoin Prognosis
  • Secure Visual Authentication using QR Code

🎓 Guided Projects:

  • Machine Learning for Agricultural Crop Yield Prediction
  • Linear Support Vector Machine for Chronic Kidney Disease
  • Sentiment Analysis using Contextual Based Approaches

📜 Certifications:

  • “A Crash Course in Data Science” – Coursera
  • “Data Science for Engineers” – NPTEL
  • “Data Warehousing and Business Intelligence” – Coursera
  • “AI for Everyone” – Coursera
  • “Oracle Cloud Infrastructure Foundations 2021 certified Associate” – Oracle

💻 Programming Languages:

  • C, C++
  • VB, .NET, MS-Access, SQL Server

🤝 Industry Interaction:

  • MoU with Payoda
  • Internships for students with Payoda and DeepVisionTech.AI
  • Campus Connect Lectures with DeepVisionTech.AI

🌐 Additional Responsibilities:

  • Social and Media Coordinator for Toycathon
  • Chief Editor of Magazine BUZZ
  • Incharge of NAAC criteria 3
  • Question Paper Setter for premier institutions
  • Coordinator for various committees, including ECell and Quality Improvement Cell

🌟 Achievements:

  • Recognized as a mentor and expert in various national initiatives
  • Actively involved in enhancing student learning experiences through industry collaborations and innovative projects.

Publications Top Notes  :

  1. “A Review study of E-waste management in India”
  2. “Query optimization using clustering and genetic algorithm for distributed databases”
  3. “Combined effect of biopriming and polymer coating on chemical constituents of root exudation in chilli (Capsicum annuum L.) cv. K 2 seedlings”
  4. “Micropropagation and in vitro flowering of an ornamental aquarium plant Lindernia antipoda (L.) Alston”
  5. “Sinonasal schwannoma with secondary changes”

 

 

 

 

 

Dr. Imran Iqbal | Network Protocols, Technology and Communication

Posted on by ScienceFather

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.

 

 

 

Ms. Benedicta Nana Esi Nyarko | AI in Networking

Posted on by ScienceFather
Ms. Benedicta Nana Esi Nyarko: Leading Researcher in AI in Networking

Ms. Benedicta Nana Esi Nyarko, Southwest university of Science and Technology, China.

Congratulations, Ms. Benedicta Nana Esi Nyarko, 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.

Benedicta Nana Esi Nyarko obtained her Bachelor degree in Information & Communication Technology from Data Link University, Tema, Ghana and she obtained her MEng. Information & Communication Engineering from Southwest University of Science and Technology, Mianyang, China, in 2016 and 2021 respectively. She is a Ph.D. candidate in Control Science and Engineering at Southwest University of Science and Technology, Mianyang, China. Her research interest includes, Machine Learning, Computer Vision, Image processing, and Pattern Recognition.

Professional Profiles:

Education:  

  • Southwest University of Science and Technology (PhD. Control Science and Engineering
    Doctor of philosophy )
  • Southwest University of Science and Technology(MEng. Information and Communication Engineering
    Masters Degree )
  • Data Link University College(Bsc. Information and Communication Technology
    Bachelor Degree)

Achievements & Awards:

  • The First Prize of Master Degree Scholarship Southwest University of Science and Technology, China
Experience:
  • Robot Technology Used for Special Environment Key Laboratory of Sichuan Province
  • Judicial Service of Ghana & Ghana National Identification Authority
  • Diamond Cement Ghana
Conferences Attended:
  • New Energy and Energy Storage System Conference
  • The 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control
  • IEEE AIIOT Congress 2022
Skills:
  • ICT: Adept at using Matlab, HTML/CSS programming Android, Python, MS office Suite, Adobe Photoshop CS6, and
    weka data mining tool.
  • Team Player: Excellent team player and respect ideas of colleagues. (Team Leader GIFEC, at National Emergency
    Centre)Interpersonal Skills: Able to relate well and connect with people from different countries and socio-culture
    background
  • Driving
  • Cooking and cleaning
Publications: