Mr KULDEEP SHARMA | Non destructive testing | Corporate Visionary Award |

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Mr. KULDEEP SHARMA | Non destructive testing | Corporate Visionary Award.

Dura-Bond Industry,United States

Professional Profiles:

ORCID

👨‍🎓 Bio Summary:

Kuldeep Sharma is an experienced professional in the field of Non-Destructive Testing (NDT) with 19 years of industrial experience. He holds a Bachelor of Science degree with a focus on Physics, Statistics, and Mathematics from M.D. University, Rohtak. Currently serving as the Company NDT Level III (NDT Manager) at M/S DURA-BOND INDUSTRIES in PA, USA, he oversees all NDE activities at USA locations. Sharma’s research interests include advancing NDT techniques such as computed tomography (CT), digital radiography, and automation using artificial intelligence (AI). He is recognized for his contributions to the NDT field and has been selected as the ASNT NDT face for 2024.

🎓 Education:

Kuldeep Sharma holds a Bachelor of Science degree with a focus on Physics, Statistics, and Mathematics from M.D. University, Rohtak. He completed his high school education from the Board of School Education in Haryana, achieving commendable academic results.

🔍 Research Focus:

Sharma’s research interests lie primarily in advancing Non-Destructive Testing (NDT) techniques, particularly in areas such as computed tomography (CT) for enhanced inspection capabilities, digital radiography innovations, and the automation of NDT processes using artificial intelligence (AI). His work also encompasses the development and application of 3D visualization tools and the utilization of 3D-printed tools for composite non-destructive testing manufacturing.

🏆 Honors & Awards:

Kuldeep Sharma has been recognized for his contributions to the field of NDT, notably being selected as the ASNT NDT face for 2024. He has also received recognition for his volunteer work, including his membership in various committees and councils within the American Society for Nondestructive Testing (ASNT).

Professional Experience: 💼

Sharma has accumulated 19 years of industrial experience in the NDT field, with a focus on quality management, technical oversight, and managerial responsibilities. He has held prominent roles at companies such as Welspun Corp Ltd. in India and the USA, as well as Larsen & Toubro Limited. Currently, he serves as a Company NDT Level III (NDT Manager) at M/S DURA-BOND INDUSTRIES in PA, USA, overseeing all NDE activities at USA locations.

📚 Top Noted Publications :

Integration of IoT and NDT for Real-Time Monitoring System:

Published in the e-Journal of Nondestructive Testing in November 2023.

This article focuses on the integration of Internet of Things (IoT) technology with NDT for the development of a real-time monitoring system.

The DOI for this article is 10.58286/28828.

Innovative Applications of AI, Machine Learning, and Smart Technologies in Nondestructive Testing (NDT):

Published in the e-Journal of Nondestructive Testing in October 2023.

This article explores the innovative applications of artificial intelligence (AI), machine learning, and smart technologies in the field of NDT.

The DOI for this article is 10.58286/28706.

Author Metrics 📊 : 

As an author, Sharma’s publications have garnered attention and recognition within the NDT community, with his research cited in various academic and industrial contexts. He has established himself as a leading figure in the field, contributing valuable insights and advancements to the discipline.

📅 Research Timeline:

Throughout his career, Kuldeep Sharma has maintained a consistent focus on advancing NDT methodologies and technologies. His research journey spans from his early contributions to his current endeavors, reflecting a dedication to pushing the boundaries of NDT knowledge and practice.

Dr Bilel Marzouki | Manufacturing | Best Scholar Award |

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Dr. Bilel Marzouki | Manufacturing | Best Scholar Award.

Esprit School of Business,Tunisia

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

ORCID

👨‍🎓 Bio Summary:

Dr. Bilel Marzouki is a seasoned professional with a Doctorate in Computer Science from the Ecole Nationale des Sciences de l’Informatique (ENSI), specializing in solving complex scheduling problems. His research focuses on developing innovative algorithms and models for optimizing job scheduling in distributed environments

🎓 Education:

 Dr. Marzouki holds a Doctorate in Computer Science, a Master’s degree in Business Intelligence and Intelligent Systems, and a Bachelor’s degree in Management Informatics.

🔍 Research Focus:

His research primarily revolves around addressing challenges in scheduling and optimization, particularly in the context of flexible job shop scheduling problems. Dr. Marzouki has made significant contributions to the field by developing novel algorithms and metaheuristic approaches to improve scheduling efficiency.

🏆 Honors & Awards:

Dr. Marzouki has received recognition for his academic and research achievements, including a notable H-index of 5 and an I10-index of 5, reflecting the impact of his work in the academic community.

Professional Experience: 💼

With extensive experience in academia, Dr. Marzouki has served in various capacities, including as a Responsible for the Business Computing program at Esprit School of Business, where he oversees curriculum development, accreditation, and student mentoring. He has also held teaching positions at both Esprit School of Business and the Faculty of Sciences in Tunis.

📚 Top Noted Publications :

Title: Solving distributed and flexible job shop scheduling problem using a chemical reaction optimization metaheuristic

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: Procedia Computer Science, Volume 126, Pages 1424-1433, 2018

Citations: 35

 

Title: Multi-agent model based on chemical reaction optimization with greedy algorithm for flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: Procedia Computer Science, Volume 112, Pages 81-90, 2017

Citations: 32

 

Title: Multi-agent model based on combination of chemical reaction optimization metaheuristic with Tabu search for flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: International Journal of Intelligent Engineering Informatics, Volume 6, Issue 3-4, Pages 242-265, 2018

Citations: 20

 

Title: Multi-agent model based on chemical reaction optimization for flexible job shop problem

Authors: B. Marzouki, O. Belkahla Driss

Published in: Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015

Citations: 16

 

Title: Decentralized Tabu searches in multi agent system for distributed and flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: 2017 IEEE/ACS 14th International Conference on Computer Systems and …, 2017

Citations: 13

Author Metrics 📊 : 

His research contributions are reflected in his author metrics, including an H-index of 5, indicative of the impact and citation of his work within the academic community.

📅 Research Timeline:

Dr. Marzouki’s research journey spans several years, marked by a progression from his doctoral studies to his current role as a leading figure in the field of scheduling optimization. He has consistently demonstrated a commitment to advancing knowledge and solving real-world problems through his research endeavors.