Oussama El Othmani | Computer Science and Artificial Intelligence | Best Innovation Award

Published on by Popular Engineer

Mr. Oussama El Othmani | Computer Science and Artificial Intelligence | Best Innovation Award

Ecole Polytechnique de Tunisie | Tunisia

Oussama El Othmani is an emerging researcher and software engineer whose work bridges artificial intelligence, explainable machine learning, and applied computer engineering. He is currently pursuing a PhD in ETIC, following a strong academic foundation in computer engineering and preparatory mathematics–physics, with rigorous training in artificial intelligence, advanced learning algorithms, computer architecture, databases, and software methodology. Professionally, he has contributed to complex, mission-critical software systems, working across the full software development lifecycle while applying agile methodologies, object-oriented design, and hardware-aware optimization. His research interests focus on explainable and interpretable AI, machine learning, rough set theory, soft computing, computer vision, natural language processing, and AI applications in healthcare and high-stakes decision systems. He has led and contributed to multiple applied AI projects, including medical chatbots, diagnostic decision-support systems, blood anomaly detection, and antibiotic resistance classification. His scholarly output includes peer-reviewed publications in applied AI, He has also gained recognition through research-driven projects aligned with national and institutional initiatives. Overall, his profile reflects a strong balance of academic research, applied innovation, and real-world impact, positioning him as a promising contributor to the future of trustworthy and explainable artificial intelligence.

Citation Metrics (Google Scholar)

1200
1000
600
200
0

Citations
4

Documents
0
h-index
2

Citations

Documents

h-index


View Goole Scholar Profile

Featured Publications

Fariba Shokoohi | Engineering and Technology | Best Researcher Award

Published on by Popular Engineer

Dr. Fariba Shokoohi | Engineering and Technology | Best Researcher Award

SR.C., Islamic Azad University | Iran

Dr.  Fariba Shokohi is a civil engineering researcher specializing in construction engineering and management. She is currently pursuing her Ph.D. in Civil Engineering at the Islamic Azad University, focusing on lean construction, sustainability analytics, and multi-criteria decision-making. Her academic path includes dual master’s degrees in Construction Engineering & Management and Industrial Engineering, supported by a strong foundation in civil engineering and cartography. Professionally, she has served in senior technical, design, supervision, and project management roles across major national organizations, including construction engineering firms, banking infrastructure companies, and intelligent systems corporations. Her expertise spans project management, sustainability assessment, BIM applications, fuzzy MCDM techniques, quality evaluation models, and advanced engineering software. She has authored impactful publications on lean–sustainable construction integration, fuzzy DEMATEL, green building systems, and self-healing concrete. Her research interests include sustainable construction, lean project delivery, green roofs, carbon emission reduction, intelligent project systems, and integrated management frameworks. She has actively contributed to national conferences and international journals and is a senior member of professional engineering societies. Dr. Shokohi continues to advance innovative methods in sustainable project management and construction optimization.

Profile : Orcid

Featured Publications

Shokoohi, F. (2025). Multi-dimensional sensitivity analysis of lean and sustainable construction: A novel MTDA approach for integrated project management. International Journal of Construction Management. (Accepted, June 2025)

Shokoohi, F. (2023). Application of focus group method in extended fuzzy DEMATEL technique: Integrating effective factors in lean and sustainable construction. Andisheye Amari Journal, 27(2), 105–120.

Rabieifar, H., Shokoohi, F., & Ashtiani, Z. (2021). Application of bacteria in concrete repair and its effect on self-healing properties: A review study. In 23rd National Concrete and Earthquake Conference, Concrete Research Center (METEB).

Farrokhzadeh, F., & Shokoohi, F. (2020). Integration of lean thinking and sustainable development in HSE management of the construction industry. Journal of Defense Maintenance Engineering Research, 3(2), 58–74.

Shokoohi, F., & Ravanshadnia, M. (2023). Evaluation of green roofs in reducing carbon emissions and improving environmental sustainability: A case study of a building in Tehran using DesignBuilder software. In 8th International Conference on Civil Engineering, Architecture, and Sustainable Green Urban Development.

Mahdi Sadeghi Pour Marvi | Agricultural Science and Innovation | Best Researcher Award

Published on by Popular Engineer

Dr. Mahdi Sadeghi Pour Marvi | Agricultural Science and Innovation | Best Researcher Award

Agricultural and Natural Resources Research and Education Center of Tehran Province | Iran

Dr. Mahdi Sadeghi Pour Marvi is a molecular and soil microbiologist whose research spans microbial ecology, soil biology, genomics and ecosystem biodiversity. He earned his Ph.D. in Soil Biology & Biotechnology from the University of Tehran, following an M.Sc. in Soil Science from Ferdowsi University of Mashhad. Over more than a decade of academic work, he has investigated the biodiversity and functional capabilities (e.g. sulfur oxidation) of native chemolithotrophic microorganisms in agricultural and mining soils, published on the diversity of sulfur-oxidizing bacteria in copper mine ecosystems, and studied plant-microbe interactions under stress conditions. His methodological skills include molecular techniques (DNA/RNA extraction, PCR, DGGE), bioinformatics (phylogenetics, sequence alignment), and statistical & GIS modeling (SAS, SPSS, PAST, ArcGIS).  He has 9- citations, h-index-1, to date, with ongoing research contributions in microbial and soil ecology.  In summary, Dr. Sadeghi’s expertise bridges microbiology, soil ecology and bioinformatics, making him a valuable contributor to environmental and ecosystem research.

Profiles :  Scopus | Orcid

Featured Publications

Sadeghi Pour Marvi, M. (2017). Isolation and identification of sulfur-oxidizing bacteria in agricultural soil and evaluating sulfur oxidation yield. Biological Journal of Microorganism, 21(1), 113–125. University of Isfahan, Iran. ISSN: 2322-5173.

Sadeghi Pour Marvi, M. (2017). Operational evaluation of sulfur-oxidizing bacteria yield isolated from copper mine soil and their molecular identification based on 16S rRNA sequence. Journal of Cellular and Molecular Research (Iranian Journal of Biology). University of Tehran.

Sadeghi Pour Marvi, M. (2016). The diversity of sulfur-oxidizing bacterial populations at an Iranian copper mine and the surrounding agricultural soils. Applied Ecology and Environmental Research, 14(3), 509–533.* ALÖKI Kft., Budapest, Hungary.

Sadeghi Pour Marvi, M. (2012). Effect of inoculation with VA mycorrhiza and Azotobacter on grain yield, LAI and protein of wheat under drought stress conditions. International Journal of Agriscience, 2(6), 466–476.* ISSN 2228-6322.

Sadeghi Pour Marvi, M. (2011). Thermoplastic biopolymer production (PHB, Poly 3-Hydroxybutyric acid) using secondary carbon source bioreactor based on nitrogen fixation biotechnology. Bioresearch Bulletin, 5, 284–298.

Mohd Asim | Remote Sensing | Best Researcher Award

Published on by Popular EngineerLeave a Comment on Mohd Asim | Remote Sensing | Best Researcher Award

Dr Mohd Asim | Remote Sensing | Best Researcher Award

Senior Research Fellow, Indian Agricultural Research Institute, India

Mohd Asim is a dedicated Senior Research Fellow at the Laboratory of Drone Remote Sensing and Big Data Analytics, Indian Agricultural Research Institute (IARI) in New Delhi. With a robust educational background in geography, he has recently earned his PhD from Indira Gandhi National Open University (IGNOU). His research primarily revolves around the application of remote sensing and machine learning in environmental monitoring and agricultural practices. Mohd is passionate about addressing pressing environmental challenges, particularly those related to water resources and pollution. He has contributed significantly to the understanding of heavy metal pollution in the Yamuna River, enhancing knowledge in this critical area. Mohd’s innovative approaches and commitment to research are reflected in his growing publication record and citation impact, making him a prominent figure in his field. He aims to leverage advanced technologies to foster sustainable agricultural practices and promote environmental conservation.

Profile

Orcid

Strengths for the Award

  1. Strong Academic Background: Mohd Asim has a solid foundation in geography, culminating in a PhD from IGNOU. His educational background provides a robust framework for his research.
  2. Relevant Research Experience: His work on heavy metal pollution in the Yamuna River and ongoing projects utilizing UAV technology showcase his commitment to addressing significant environmental issues through innovative methods.
  3. Publication Record: With 79 citations for his research on heavy metal pollution and publications in reputable journals like Environmental Monitoring and Assessment and International Journal of River Basin Management, he demonstrates the impact and recognition of his work in the scientific community.
  4. Innovative Approaches: The use of machine learning algorithms for the detection of banana plants using UAV data highlights his ability to integrate technology with traditional research methods, contributing to advancements in agricultural monitoring.
  5. Contribution to Environmental Science: His focus on critical issues such as water pollution and agricultural sustainability aligns with global research priorities, emphasizing the relevance of his contributions.

Areas for Improvement

  1. Expand Collaborative Efforts: Building partnerships with other researchers or institutions could enhance the scope and impact of his projects, potentially leading to interdisciplinary research opportunities.
  2. Engage in Consultancy or Industry Projects: Gaining experience in consultancy could provide practical insights and enhance the applicability of his research findings in real-world scenarios.
  3. Increase Professional Visibility: Joining professional organizations or taking editorial roles in relevant journals could further elevate his profile and foster networking opportunities within the research community.
  4. Broaden Publication Scope: While his publications are significant, aiming for a more diverse range of journals could enhance visibility and reach in different academic circles.

Education

Mohd Asim completed his Bachelor’s and Master’s degrees in Geography, laying a strong foundation for his academic pursuits. He has recently obtained his PhD in Geography from Indira Gandhi National Open University (IGNOU), where he focused on the intersection of environmental science and technology. His doctoral research investigated heavy metal pollution in the Yamuna River, utilizing Geographic Information Systems (GIS) and pollution indices to assess and analyze environmental health. Throughout his education, Mohd has developed a keen interest in remote sensing, machine learning, and their applications in agricultural monitoring and water resource management. His educational journey has equipped him with essential skills and knowledge to tackle complex environmental challenges. By integrating traditional geographical methods with modern technology, he aspires to contribute to sustainable practices in agriculture and environmental management, making his academic background a vital asset in his ongoing research endeavors.

Experience 

Mohd Asim currently serves as a Senior Research Fellow (SRF) at the Laboratory of Drone Remote Sensing and Big Data Analytics within the Division of Agricultural Physics at IARI, New Delhi. His role involves conducting advanced research on environmental monitoring, focusing on the impacts of pollution and the dynamics of river systems. He has successfully completed several projects, including studies on heavy metal pollution in the Yamuna River and channel dynamics, both of which have been published in reputable journals. Currently, he is working on a project that employs UAV multispectral imaging and machine learning algorithms to detect banana plants, showcasing his ability to apply cutting-edge technology in agricultural research. Mohd’s experience in interdisciplinary research and collaboration with experts in remote sensing and GIS has significantly contributed to his understanding of the complex interactions between agricultural practices and environmental sustainability, positioning him as a key researcher in his field.

Research Focus

Mohd Asim’s research focuses on the integration of remote sensing, Geographic Information Systems (GIS), and machine learning in environmental studies, particularly concerning agricultural monitoring and water resource management. He aims to address critical environmental issues, such as pollution and resource sustainability, with a strong emphasis on understanding heavy metal contamination in waterways, especially the Yamuna River. His ongoing project on detecting banana plants using UAV multispectral imagery illustrates his commitment to leveraging technology for agricultural advancements. Mohd’s research encompasses the dynamics of river systems, channel changes, and the impact of anthropogenic activities on water resources. By employing innovative methodologies and interdisciplinary approaches, he seeks to enhance the efficiency and sustainability of agricultural practices while promoting environmental conservation. His work contributes significantly to the understanding of how advanced technologies can facilitate better management of natural resources, aligning with global efforts toward sustainable development and environmental protection.

Publication Top Notes

  • Flow dynamics and channel changes at Yamuna River in Delhi-National Capital Region, India 🌊
  • Assessment of heavy metal pollution in Yamuna River, Delhi-NCR, using heavy metal pollution index and GIS ⚗️

Conclusion

Mohd Asim is a strong candidate for the Best Researcher Award, demonstrating excellence in research and innovation. His contributions to the field of geography, particularly in remote sensing and environmental monitoring, position him as a key figure in addressing pressing ecological challenges. By expanding his collaborative and professional engagements, he can further amplify his impact and recognition in the academic community.