Dr. Ugur Koklu | Network Machining | Best Researcher Award

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

 

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan, Najran University, Saudi Arabia

Dr. Mahmood Ul Hassan is a versatile professional with a rich academic background and extensive experience in academia and research. 🎓 Holding a PhD in Computer Science with a focus on Wireless Sensor Networks, he has demonstrated expertise in areas such as computer networks, research methodology, and artificial intelligence. With over a decade of teaching experience at various institutions, including Najran University and Jouf University, he has excelled in academic planning, quality management, and student welfare. As a prolific researcher, he has authored impactful theses and contributed to numerous workshops and conferences, showcasing his commitment to advancing the field. 💼 His skills span programming languages, web development, and database management, making him a well-rounded professional in the realm of technology.

Professional Profile:

Scopus

Orcid

🎓 Education:

  • PhD in Computer Science from IIC University of Technology, Cambodia
  • MS in Computer Science from COMSATS University, Pakistan
  • BS in Computer Science (Hons) from Hazara University, Pakistan

💼 Experience:

  • PhD Supervisor at IIC University of Technology, Cambodia
  • Assistant Professor at Quality Education Company, Najran University, Saudi Arabia
  • Head of Department at Jouf University, Saudi Arabia
  • Lecturer at Govt. College of Commerce & Management Sciences, Pakistan
  • Research Associate at COMSATS University, Pakistan

🏅 Professional Skills:

  • Courses: Computer Networks, Research Methodology, Operating Systems, Image Processing, Artificial Intelligence
  • Programming Languages: C/C++, Java, C#.NET, JSP, ASP.NET, JavaScript
  • Databases: Microsoft SQL Server, Oracle
  • Operating Systems: Windows, Linux

📚 Thesis and Projects:

  • PhD Thesis: Energy Efficient Techniques for Connectivity Restoration in Wireless Sensor Networks
  • MS (CS) Thesis: Object Recognition using Genetic Algorithm on Shape Descriptors
  • BCS (Hons) Thesis: Identification and Data Management of Suspicious Persons

Scopus Metrics:

  • 📝 Publications: 14 documents indexed in Scopus.
  • 📊 Citations: A total of 64 citations for his publications, reflecting the widespread impact and recognition of Dr. B. Sathiyabhama’s research within the academic community.

Publications Top Notes :

  1. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet
    • Published in Sensors, 2023, 23(11), 5259.
    • Cited by 4 articles.
  2. An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications
    • Published in Pervasive and Mobile Computing, 2023, 92, 101785.
    • Cited by 9 articles.
  3. A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
    • Published in IEEE Access, 2023, 11, pp. 46283–46296.
    • Cited by 6 articles.
  4. A Novel RGB Image Obfuscation Technique Using Dynamically Generated All Order-4 Magic Squares
    • Published in IEEE Access, 2023, 11, pp. 46382–46398.
    • Cited by 1 article.
  5. Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
    • Published in Computer Systems Science and Engineering, 2022, 44(1), pp. 845–858.
    • Cited by 3 articles.

 

 

 

 

 

 

Mr. Ashuqullah Alizai | Communication Protocols | Best Researcher Award

Mr. Ashuqullah Alizai | Communication Protocols | Best Researcher Award

Mr. Ashuqullah Alizai, Hochschule Aalen, Germany

Ashuqullah Alizai is a highly skilled professional with extensive experience in database management, web development, and IT leadership. With a background in electric and electronics engineering, he holds a Master of Science in Informatics with a focus on database management from the Technical University of Berlin. Throughout his career, Ashuqullah has served in various capacities, including as Director of Communication and IT at the Ministry of Communication and IT in Herat, Afghanistan, and as Faculty Dean and Head of Department at the Computer Science Faculty of Herat University. He is proficient in a variety of programming languages and databases, with a strong command of Pashto, Dari, English, and German languages. Ashuqullah’s expertise spans from teaching and research to managerial roles, making him a versatile professional in the field of IT and education.

Professional Profile:

Scopus

🎓 Education

  • Bachelor of Electric and Electronics Engineering, Kabul University (2002-2006)
  • Master of Science in Informatics (Database Management), Technical University of Berlin (2011-2013.

👨‍💼 Work Experience

Ministry of Communication and IT

Director of Communication and IT (Herat, Afghanistan) Jan 2019 – Sep 2021 Responsible for managing, controlling, and supervising all telecommunication, information technology, and postal-related activities in Herat Province for both private and public sectors

🔧 Skills

  • Soft Skills: Research, Analytical Thinking, Problem Solving, Leadership
  • Technical Skills: Programming (Ruby, Java, Php, C, JavaScript, HTML, CSS), Databases (MySQL, SQL Server, SQL, NoSQL DBs), Basic Networking, Machine Learning Algorithms, AI Techs
  • Languages: Pashto (native), Dari (professional), English (professional), German (Fair), Indian (very good)

 

Publication Top Notes:

Title: Heterogeneous Communication Networks and Localization for Industry 4.0 Applications in Small and Medium-Sized Enterprises: A Systematic Literature Review
Authors: Alizai, A.; Mousavi, M.R.; Ludwig, S.; Aschenbrenner, D.
Journal: Procedia CIRP
Year: 2023

 

 

 

 

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

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”