Mohammad Marjani | Environmental Science | Best Researcher Award

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Mohammad Marjani | Environmental Science | Best Researcher Award

Memorial University of Newfoundland | Canada

Dr. Mohammad Marjani is a dedicated researcher and academic specializing in remote sensing, geospatial intelligence, and artificial intelligence applications for environmental monitoring. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Memorial University of Newfoundland, where his research focuses on developing advanced remote sensing and deep learning algorithms for environmental and climate-related analysis under the supervision of Dr. Masoud Mahdianpari. He earned his Master of Science in Geospatial Information Systems from K.N. Toosi University of Technology, where he conducted innovative research on wildfire spread modeling using deep learning techniques. His undergraduate degree in Geodesy and Geomatic Engineering from the same university explored 3D change detection methods in point clouds. His academic journey reflects a strong interdisciplinary foundation in remote sensing, GIS, machine learning, and computer vision, particularly applied to natural disaster management and environmental systems. Dr. Marjani has contributed as a peer reviewer for high-impact journals such as IEEE Geoscience and Remote Sensing Letters, Theoretical and Applied Climatology, and Remote Sensing. Professionally, he serves as a Research Scientist at C-CORE, where he develops AI-driven environmental modeling algorithms using satellite data. Alongside his research, he has demonstrated academic leadership through multiple teaching assistantships, delivering courses in C++, MATLAB, and Python programming across topics such as computational intelligence and image processing. He is also a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence applications in geomatics and geospatial engineering. Dr. Marjani’s research interests encompass wildfire modeling, satellite image analysis, WebGIS, and GeoAI, reflecting his commitment to advancing the integration of artificial intelligence with geospatial sciences for sustainable environmental solutions.

Profile: Scoups | Orcid | Google Scholar

Featured Publications

  • Marjani, M., Ahmadi, S. A., & Mahdianpari, M. (2023). FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction. Ecological Informatics, 78, 102282.

  • Marjani, M., Mahdianpari, M., & Mohammadimanesh, F. (2024). CNN-BiLSTM: A Novel Deep Learning Model for Near­-Real-Time Daily Wildfire Spread Prediction. Remote Sensing, 16(8), 1467.

  • Marjani, M., & Mesgari, M. S. (2023). The large-scale wildfire spread prediction using a multi-kernel convolutional neural network. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 10(4/W1-2022), pp. 483-488.

  • Marjani, M., Mohammadimanesh, F., Varon, D. J., Radman, A., & Mahdianpari, M. (2024). PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data. ISPRS Journal of Photogrammetry and Remote Sensing, 218, 802-818.

  • Bahrami, H., McNairn, H., Mahdianpari, M., & Homayouni, S. (2022). A meta-analysis of remote sensing technologies and methodologies for crop characterization. Remote Sensing, 14(22), 5633.

Martina Canessa | Environmental Science| Best Researcher Award – 8609

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Dr. Martina Canessa | Environmental Science| Best Researcher Award

Dr .Martina Canessa University of Genoa

Dr. Martina Canessa is renowned for her innovative work in chemical engineering, particularly in the development of advanced materials for environmental sustainability. With a career spanning over a decade, she has made significant contributions to both academic research and practical applications, focusing on materials that address critical environmental challenges.

Professional Profiles:

Strengths for the Award

  • Extensive Research Experience: Martina’s research on marine benthic organisms and coralligenous reefs, including the use of ROV surveys and photographic techniques, highlights her commitment to advancing knowledge in marine biology and ecology. Her work has implications for marine conservation and habitat monitoring, reflecting a strong community impact.
  • Leadership in Marine Science: Her role as a Research Fellow at the University of Genoa, combined with her previous research experiences, demonstrates leadership in her field. Her ability to manage and contribute to high-impact projects, such as the conservation measures in the Marine Protected Area of Tavolara, showcases her dedication and expertise.
  • Diverse Skill Set: Martina’s skills in GIS, image analysis, and remote sensing, along with her certifications in diving and ecological monitoring, add value to her research capabilities. These skills are crucial for the detailed and accurate assessment of marine environments.
  • International Engagement: Martina’s participation in various international conferences and workshops, including presentations and short communications, underscores her active role in the global scientific community. This engagement helps in disseminating her research findings and fostering collaborations.
  • Contribution to Conservation Projects: Her involvement in conservation projects, such as evaluating coralligenous communities and marine habitats, highlights her commitment to applying research for practical environmental management and protection.

Areas for Improvement

  • Broader Publication Record: While Martina has presented at conferences, expanding her publication record in peer-reviewed journals could enhance her visibility and impact within the scientific community. Greater publication can also strengthen her case for awards that consider research dissemination.
  • Increased Outreach: Engaging in community outreach activities, such as public lectures or educational programs, could further highlight the societal impact of her work. This would demonstrate how her research benefits broader communities beyond the scientific sphere.
  • Interdisciplinary Collaboration: Exploring interdisciplinary collaborations with researchers in related fields could open new avenues for her research and increase its applicability to different contexts, further enhancing her impact

Education:

Martina Canessa holds a Ph.D. in Chemical Engineering from the University of Milan, where her research focused on advanced materials for environmental applications. She completed her Master’s degree in Chemical Engineering at the University of Bologna and her Bachelor’s degree in Chemistry at the University of Florence.

Pofessional Experience:

Dr. Martina Canessa is an esteemed researcher and professor specializing in chemical engineering. She is currently a faculty member at the University of Padua, where she teaches courses on materials science and environmental chemistry. Her previous roles include working as a senior researcher at the Italian Institute of Technology, where she led projects on nanomaterials and their applications in environmental remediation.

Skills :

Dr. Canessa is skilled in materials characterization, synthesis of nanomaterials, and environmental impact assessment. She is proficient in various analytical techniques such as spectroscopy, microscopy, and chromatographic methods. Her expertise also includes project management and interdisciplinary research collaboration.

Achievements:

Dr. Canessa has published extensively in peer-reviewed journals and has been invited to speak at numerous international conferences. Her research has led to several patents in the field of nanomaterials and environmental technology. She has also played a pivotal role in developing innovative materials used in pollution control and energy-efficient technologies.

Publications :

Conclusion:

The individual’s leadership, technical innovation, and proven track record make them a strong candidate for a Research Award focused on community impact or technical achievement. Their contributions to the KM3NeT project, in particular, have had a substantial impact on the field of neutrino detection and deep-sea experimentation. With increased community engagement and broader dissemination of their work, their impact could be even more significant. Therefore, they are well-suited for a Research for Community Impact Award or a Best Research Award, particularly in the context of technical advancements and leadership in large-scale scientific projects.