Dr. Bilel Marzouki | Manufacturing | Best Scholar Award.

Esprit School of Business,Tunisia

Professional Profiles:

👨‍🎓 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.

👨‍🎓 Bio Summary:

Dr. Norman Owen Lotter is a distinguished Consulting Engineer with extensive expertise in metallurgical flowsheet development and mineral processing. His illustrious career spans over five decades, marked by groundbreaking research, leadership in project management, and a commitment to excellence in the field of engineering.

🎓 Education:

Dr. Lotter earned his Bachelor of Science in Chemistry from Natal University, followed by a Master of Science in Chemical Engineering from the University of Cape Town. He furthered his academic pursuits with a Ph.D. in Metallurgical Engineering from McGill University, solidifying his expertise in the intricate processes of metallurgy and materials science.

🔍 Research Focus:

With a keen focus on process mineralogy and flowsheet development, Dr. Lotter has dedicated his career to optimizing mineral processing operations. His research endeavors have centered on enhancing recovery rates, improving concentrate quality, and streamlining production processes in the mining industry.

🏆 Honors & Awards:

Throughout his career, Dr. Lotter has been the recipient of numerous prestigious awards, including the CIM Distinguished Lecturer in recognition of his contributions to better flowsheet development. He was also honored with the Fray International Sustainability Award for his pioneering work in sustainable mineral processing practices.

Professional Experience: 💼

Dr. Lotter’s professional journey includes pivotal roles at renowned organizations such as Falconbridge Limited, Xstrata plc, and Glencore. He has served as a Consulting Metallurgist, Manager of Process Mineralogy, and Technical Superintendent, overseeing critical projects and driving innovation in mineral processing techniques.

📚 Top Noted Publications :

Flowsheet development for and commissioning of the Kamoa-Kakula project
Authors: Lotter, N.O., Whiteman, E., Hoffman, M.C., Amos, S.R., Groenewald, A.
Published in Minerals Engineering, 2024, 210, 108671

Sampling – A key tool in modern process mineralogy
Authors: Lotter, N.O., Evans, C.L., Engstrőm, K.
Published in Minerals Engineering, 2018, 116, pp. 196–202
Citations: 18

The business value of best practice process mineralogy
Authors: Lotter, N.O., Baum, W., Reeves, S., Arrué, C., Bradshaw, D.J.
Published in Minerals Engineering, 2018, 116, pp. 226–238
Citations: 29

Process mineralogy as a predictive tool for flowsheet design to advance the Kamoa project
Authors: Whiteman, E., Lotter, N.O., Amos, S.R.
Published in Minerals Engineering, 2016, 96-97, pp. 185–193
Citations: 21

Classification of the Major Copper Sulphides into semiconductor types, and associated flotation characteristics
Authors: Lotter, N.O., Bradshaw, D.J., Barnes, A.R.
Published in Minerals Engineering, 2016, 96-97, pp. 177–184
Citations: 48

Author Metrics 📊 :

Dr. Lotter’s scholarly contributions have been widely recognized, with his papers garnering significant citations and acclaim within the scientific community. His impactful research has influenced advancements in mineral processing practices and continues to inspire future generations of engineers and researchers.

📅 Research Timeline:

Over the years, Dr. Lotter’s research journey has evolved, from his early explorations into mixed collector flotation reagents to his groundbreaking work in process mineralogy and flowsheet optimization. His timeline reflects a steadfast commitment to innovation and excellence in the field of mineral processing.