Marouane Louhichi | Statistical Analysis | Best Research Article Award

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Dr. Marouane Louhichi | Statistical Analysis | Best Research Article Award

Researcher at Institute of ARID Regions, Tunisia

Dr. Marouane Louhichi is a distinguished researcher and Laboratory Head at the Institute of Arid Regions (IRA) in Medenine, Tunisia. With a deep-rooted passion for wildlife conservation, ecology, and sustainable resource management, he has dedicated his career to advancing knowledge in arid zone biodiversity and animal nutrition. His expertise spans multiple disciplines, including plant ecology, terrestrial animal ecology, and conservation biology. Over the years, Dr. Louhichi has actively contributed to scientific research, training programs, and international collaborations, making significant strides in the sustainable management of arid environments.

Profile

Google Scholar

Education

Dr. Louhichi holds a PhD in Biology from the Faculty of Sciences of Gabes (FSG), where he graduated with the highest honors in 2024. Prior to that, he obtained a Research Master’s in Sustainable Management and Valorization of Animal Resources from the National Agronomic Institute of Tunisia (INAT) in 2018 with high honors. His academic journey began with a University Degree in Food Industry Technology from the Faculty of Sciences of Sfax (FSS) in 2006 and a Baccalaureate Certificate in Experimental Sciences from Ibn Sina High School in 2002. His educational background has equipped him with extensive knowledge in animal nutrition, plant ecology, and environmental conservation, forming the foundation for his scientific research.

Professional Experience

Dr. Louhichi has been serving as the Laboratory Head of the Livestock and Wildlife Laboratory at IRA since 2017. His role involves leading research teams in ecological problem-solving, biodiversity conservation, and sustainable wildlife management strategies. He collaborates with experts, students, and technicians to address challenges in species coexistence and resource management in arid regions. Prior to this, he worked as a Laboratory Technician in the Pastoral Ecology Laboratory at IRA from 2006 to 2016, specializing in essential oil extraction, wild plant domestication, and seed collection. His extensive experience in research and applied science has positioned him as a leading expert in arid zone conservation and sustainable resource management.

Research Interests

Dr. Louhichi’s research interests encompass a broad range of ecological and environmental studies. He is particularly focused on animal nutrition, conservation biology, terrestrial animal ecology, and plant ecology. His work aims to develop sustainable solutions for managing wildlife and biodiversity in arid regions. Additionally, he is keen on integrating Geographic Information Systems (GIS) in ecological studies to assess land use patterns and conservation strategies. His research also extends to the chemical composition and nutritional value of pastoral resources, contributing valuable insights into livestock and wildlife management.

Awards

Dr. Louhichi has been recognized for his outstanding contributions to scientific research and conservation. His accolades include nominations for prestigious research awards in wildlife conservation and environmental sustainability. His work has been acknowledged in various international conferences and scientific forums, where he has presented his findings on biodiversity, animal nutrition, and sustainable development. His dedication to advancing ecological research continues to earn him recognition within the scientific community.

Selected Publications

Louhichi, M., et al. (2023). “Nutritional Value and Chemical Composition of Pastoral Resources for Scimitar Oryx and Dorcas Gazelle in Arid Regions.” Journal of Arid Land Studies, 45(3), 112-125. Cited by 14 articles.

Louhichi, M., et al. (2022). “Essential Oils from Aromatic Plants: Extraction Techniques and Conservation Strategies.” Environmental Research and Conservation, 38(2), 89-102. Cited by 10 articles.

Louhichi, M., et al. (2021). “GIS-Based Analysis of Biodiversity in Tunisian Arid Zones: Challenges and Opportunities.” Ecological Modelling and Sustainable Development, 29(4), 134-148. Cited by 8 articles.

Louhichi, M., et al. (2020). “Wildlife Conservation in Arid Landscapes: A Case Study of Tunisian Protected Areas.” Conservation Science and Practice, 12(1), 67-79. Cited by 15 articles.

Louhichi, M., et al. (2019). “Domestication of Wild Medicinal Plants: Sustainable Practices for Arid Regions.” Journal of Ethnobotany and Environmental Studies, 16(3), 45-58. Cited by 7 articles.

Louhichi, M., et al. (2018). “Camel Milk Valorization: Opportunities for Sustainable Development in North Africa.” Food Science and Technology Journal, 32(2), 89-101. Cited by 9 articles.

Louhichi, M., et al. (2017). “Impact of Climate Change on Plant Biodiversity in Arid Tunisia: An Ecological Perspective.” Journal of Environmental Science and Policy, 25(4), 173-185. Cited by 11 articles.

Conclusion

Dr. Marouane Louhichi is a dedicated researcher committed to advancing the fields of ecology, animal nutrition, and biodiversity conservation. Through his extensive academic background, professional experience, and research contributions, he has played a crucial role in developing sustainable solutions for wildlife management in arid zones. His work has been widely recognized in scientific circles, and his publications continue to influence conservation strategies and ecological research. As he continues his career, Dr. Louhichi remains at the forefront of efforts to promote environmental sustainability and biodiversity preservation in Tunisia and beyond.

Alireza Rezvanian | Social Network Analysis | Best Researcher Award

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Assist. Prof. Dr. Alireza Rezvanian | Social Network Analysis | Best Researcher Award

Assistant Professor | University of Science and Culture | Iran

Dr. Alireza Rezvanian is an accomplished academic and researcher, currently serving as an Assistant Professor at the University of Science and Culture (USC) in Tehran, Iran. He is widely recognized for his contributions to computer engineering and complex network analysis. He has held several editorial positions in notable journals, such as CAAI Transactions on Intelligence Technology, Human-centric Computing and Information Sciences, The Journal of Engineering, and Data in Brief. His research has influenced fields like social network analysis, machine learning, and data mining.

Profile

Scopus

Education

Dr. Rezvanian earned his Ph.D. in Computer Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2016, under the mentorship of Dr. Mohammad Reza Meybodi. His doctoral research focused on “Stochastic Graphs for Social Network Analysis.” Before his Ph.D., he completed his M.Sc. in Computer Engineering at Islamic Azad University of Qazvin in 2010 and his B.Sc. from Bu-Ali Sina University of Hamedan in 2007. Both his M.Sc. and B.Sc. theses dealt with topics in artificial intelligence, specifically in the improvement of algorithms using learning automata for dynamic environments.

Experience

Dr. Rezvanian’s career spans a variety of academic and research roles. He is currently the Director of Information and Scientific Resources at USC, a position he has held since 2023. He is also a member of the Board of IEEE Computer Society Iran Chapter and a supervisor for MSc students in Computer Engineering. Prior to this, Dr. Rezvanian was the Head of the Computer Engineering Department at USC from 2021 to 2023. Additionally, he has served as an adjunct professor at prestigious institutions such as Amirkabir University of Technology, University of Tehran, and Tarbiat Modares University. His research experience extends beyond academic roles, including research positions at the Institute for Research in Fundamental Sciences (IPM) and the Niroo Research Institute.

Research Interests

Dr. Rezvanian’s research interests are rooted in complex networks and social network analysis, with a particular focus on learning automata and evolutionary algorithms. His work spans a range of topics, including machine learning, data mining, soft computing, image processing, and the application of stochastic models in social networks. His interdisciplinary approach allows him to develop innovative solutions for dynamic environments, particularly in areas involving graph-based structures, network sampling, and influence maximization.

Awards

Dr. Rezvanian’s research and academic excellence have garnered multiple recognitions throughout his career. Notably, he has received the Best Paper Award at various conferences and been nominated for multiple IEEE Best Paper awards. His H-index on Google Scholar is 26, showcasing the significant impact of his work within the scientific community.

Publications

Dr. Rezvanian’s publication record is robust, comprising numerous influential books, journal articles, and conference papers. His books include “Advances in Learning Automata and Intelligent Optimization” (Springer, 2022), “Cellular Learning Automata: Theory and Applications” (Springer, 2021), and “Learning Automata Approach for Social Networks” (Springer, 2019). His journal papers have been published in high-impact journals such as Results in Engineering, Social Network Analysis and Mining, and Applied Network Science. Below are some of his notable journal articles:

Khomami, M. M. D., Meybodi, M. R., & Rezvanian, A. (2024). Efficient Identification of Maximum Independent Sets in Stochastic Multilayer Graphs with Learning Automata. Results in Engineering, 24, 103224.

Rezvanian, A., Vahidipour, S. M., & Jalali, Z. S. (2024). A spanning tree approach to social network sampling with degree constraints. Social Network Analysis and Mining, 14(101), 101.

Rezvanian, A., Jamshidi, S., & Gheisari, M. (2024). Advanced fusion of MTM-LSTM and MLP models for time series forecasting: An application for forecasting the solar radiation. Measurement: Sensors, 33, 101179.

Rezvanian, A., Vahidipour, S. M., & Saghiri, A. M. (2024). CaAIS: Cellular Automata-Based Artificial Immune System for Dynamic Environments. Algorithms, 17(1), 18.

Mashayekhi, Y., Rezvanian, A., & Vahidipour, S. M. (2023). A novel regularized weighted estimation method for information diffusion prediction in social networks. Applied Network Science, 8, 81.

Rezvanian, A., Vahidipour, S. M., & Meybodi, M. R. (2023). A new stochastic diffusion model for influence maximization in social networks. Scientific Reports, 13, 6122.

Conclusion

Dr. Alireza Rezvanian has made significant strides in the field of computer engineering and complex networks. His contributions to social network analysis and machine learning are profound, and his academic journey continues to influence the global research community. With his extensive experience, publication record, and ongoing research in dynamic optimization, Dr. Rezvanian remains a key figure in advancing the frontiers of computational sciences. His continued dedication to research and teaching ensures that his work will have a lasting impact in both academic and practical domains.