Souleyman Hassan | Technology Scientists Innovations | Best Researcher Award

Mr. Souleyman Hassan | Technology Scientists Innovations | Best Researcher Award

PhD student at University of N’Djamena in Chad.

Souleyman Hassan is a dedicated biochemist and PhD student at the University of N’Djamena, Chad, whose work focuses on discovering novel small molecules to combat malaria and related parasitic diseases. His research bridges traditional medicinal knowledge with modern computational and experimental approaches, such as bio-guided fractionation and high-throughput screening. He has collaborated with global pharmaceutical leaders including MMV, Pfizer, Merck, H3D, and Johnson & Johnson, contributing to the identification of potent antimalarial compounds, notably the picomolar pyrazole derivative MMV1794211. As an ambassador for SPARK Africa and an active member of ISSX Africa, he advocates for advancing research capacity across the continent. Souleyman has also co-founded EcoFast, reflecting his commitment to innovation and entrepreneurship. With support from the Bill & Melinda Gates Foundation, DAAD, and Grand Challenges Africa, his work exemplifies the integration of academic research, industrial collaboration, and social impact in the fight against malaria.

Professional Profile

ORCID

Education 

Souleyman Hassan is pursuing a PhD in Biochemistry at the University of N’Djamena, Chad. His doctoral research centers on malaria therapeutics, particularly the discovery and optimization of natural and synthetic molecules targeting resistant Plasmodium falciparum strains. He gained academic enrichment through the YaBiNaPA project (Yaoundé–Bielefeld Graduate School for Natural Products with Antiparasite and Antibacterial Activity), funded by DAAD, where he developed expertise in bio-guided fractionation, pharmacokinetic optimization, and parasite assays. His training also includes exposure to computational drug discovery and structure-based screening, providing him with a dual skillset bridging wet-lab and in silico research. Souleyman has benefited from workshops and collaborations with the University of Yaoundé I, the University of South Florida, and multiple pharmaceutical partners, where he strengthened his understanding of global health research pipelines. His educational journey reflects a strong commitment to integrating African research excellence with international scientific standards.

Experience 

Souleyman Hassan has gained diverse research and industrial experience through collaborations with international pharmaceutical companies and research institutions. His work with Medicines for Malaria Venture (MMV) provided hands-on experience in screening open-access compound libraries such as the COVID Box, Malaria Box, and Pathogens Box, evaluating their antiparasitic activity. His involvement in the Bill & Melinda Gates Foundation-funded project led to the discovery of highly potent antiplasmodial pyrazole derivatives, underscoring his contribution to frontline drug discovery efforts. Additionally, he has worked on plant-based drug leads, such as Drymaria cordata and Macaranga monandra, used traditionally against malaria. Souleyman is also engaged with community and academic organizations as a member of ISSX, SPARK Africa, and the Association of Health Sciences Researchers in Chad. His co-founding of EcoFast illustrates his ability to extend research innovations into entrepreneurial ventures, reflecting an applied dimension to his academic expertise.

Research Focus 

Souleyman Hassan’s research focuses on the biochemistry and pharmacology of antimalarial drug discovery. He integrates natural product isolation with computational methods to identify promising bioactive molecules and improve pharmacokinetics. His focus extends to high-throughput screening of both natural and synthetic libraries, enabling the rapid identification of potent leads such as MMV1794211, which showed picomolar-level activity against resistant Plasmodium falciparum. His research also explores the repurposing of existing molecules, reducing the cost and time of developing antiparasitic drugs. By combining indigenous plant knowledge, such as investigations into Terminalia ivorensis and Mitragyna inermis, with modern medicinal chemistry approaches, his work represents a fusion of traditional wisdom and cutting-edge science. This dual focus positions his research at the forefront of global health innovation, tackling neglected tropical diseases and contributing to the broader fight against drug resistance in malaria and other parasites.

Publication Top Notes

Title: Unveiling the antimalarial properties of Terminalia ivorensis stem bark aqueous extract
Journal: International Journal of Plant-Based Pharmaceuticals, April 2024. 
Summary: Validated traditional use of T. ivorensis with in vivo tests and docking studies, confirming strong antimalarial potential.

Title: Discovery of a picomolar antiplasmodial pyrazole derivative from MMV Global Health Priority Box
Journal: VeriXiv, October 16, 2024. 
Authors: Mariscal Brice Tchatat Tali; Darline Dize; Aubin Youbi Kamche; Boniface Pone Kamdem; Souleyman Hassan; et al.
Summary: Identified MMV1794211, a pyrazole derivative with exceptional potency (IC50 < 10 pM) against resistant Plasmodium falciparum.

Title: Bio-guided investigation of Mitragyna inermis unveils natural isolates with cross-activity against Plasmodium falciparum
Journal: Journal of Ethnopharmacology, August 7, 2025. 
Summary: Discovered compounds from M. inermis effective against both sensitive and multidrug-resistant malaria strains.

Title: Targeting the intra-erythrocytic life cycle of Plasmodium falciparum using Drymaria cordata and Macaranga monandra
Journal: Journal of Ethnopharmacology, January 2025.
Summary: Identified plant-based compounds disrupting parasite life cycle, providing new antimalarial drug leads.

Conclusion

Souleyman Hassan shows strong potential and suitability for the Best Researcher Award, particularly in the context of young, early-career scientists making impactful contributions to neglected tropical diseases research. His innovative use of open-access compound libraries, his integration of computational and experimental drug discovery, and his discovery of highly potent antiplasmodial derivatives all point to significant promise. With further consolidation through high-impact publications, translational applications, and expanded international collaborations, he is well on track to becoming a leading figure in the field of global health drug discovery.

Ataollah Shirzadi | Natural Hazards | Best Researcher Award

Dr. Ataollah Shirzadi | Natural Hazards | Best Researcher Award

University of Kurdistan, Iran.

Dr. Ataollah Shirzadi is an Assistant Professor at the University of Kurdistan, Iran, specializing in Watershed Management Engineering. With over 90 peer-reviewed publications, he has become an internationally recognized figure in the field of natural hazard modeling. His expertise spans flash flood forecasting, shallow landslide prediction, soil erosion modeling, and geospatial risk assessment, all enhanced through artificial intelligence techniques. Notably, he was listed among the top 2% and 1% of global scientists in 2022 and 2023 by Stanford University and ISC. Dr. Shirzadi has contributed to several high-impact collaborative projects, including an international Iran-China initiative on flood susceptibility. He serves as a reviewer and editorial member for multiple international journals and actively mentors graduate researchers. His research bridges theoretical modeling and real-world disaster management, making significant strides in environmental resilience.

🔎Author Profile

🏅Awards and Honors

  1. Ranked among the Top 2% Scientists in the World

    • Source: Stanford University Ranking

    • Years: 2022 and 2023

  2. Ranked among the Top 1% Scientists in the Islamic World

    • Source: ISC (Islamic World Science Citation Center)

    • Year: 2023

  3. Elite and Talent Recognition Awards

    • By: Iran’s National Elite Foundation (for undergraduate and postgraduate academic excellence)

    • Context: Received for high GPA and top-ranking achievements during B.Sc. and M.Sc. studies

  4. National University Admission Ranks

    • Ranked 1st in M.Sc. entrance exam for the field of Mass Movements in Watershed Management

    • Ranked 3rd in B.Sc. entrance exam for Hydrology and Climatology

  5. Excellence Awards

    • University Honors: Recognized multiple times as top student in academic performance at both undergraduate and postgraduate levels

🏆Strengths for the Award

  1. High-Impact Research Contributions
    Dr. Shirzadi has co-authored over 90 international publications, with many articles appearing in top-tier journals such as Science of The Total Environment, Journal of Hydrology, Environmental Modelling & Software, Geomatics, Natural Hazards and Risk, and Remote Sensing. His research has garnered significant citations (e.g., 756 citations for a 2018 paper and 699 for a 2019 paper), reflecting the impact and relevance of his work in the scientific community.

  2. Pioneering Work in Natural Hazard Modeling
    His expertise lies in landslide, flash flood, and flood susceptibility modeling, with a strong emphasis on machine learning, deep learning, and hybrid AI techniques. Notably, he has developed several novel hybrid intelligence models integrating techniques like ANFIS, Genetic Algorithms, SVMs, Decision Trees, and ensemble approaches, widely cited and validated across diverse geographies.

  3. Recognition & Global Ranking
    He has been recognized among the top 2% and 1% of scientists globally by Stanford University and the Islamic World Science Citation Center (ISC) in 2022 and 2023 — a rare distinction that underlines his international academic standing.

  4. Editorial and Reviewer Excellence
    He holds editorial roles in journals such as Frontiers in Earth Science and has reviewed for more than 30 ISI-indexed journals, including Scientific Reports, Journal of Hydrology, CATENA, and Environmental Earth Sciences. This affirms his reputation as a trusted evaluator of cutting-edge scientific work.

  5. Academic Mentorship and Leadership
    Dr. Shirzadi has supervised over 17 M.Sc. and Ph.D. students, contributing actively to capacity building in environmental modeling and risk assessment. He has also been involved in international collaborations, including a recent Iran-China flood monitoring project, reflecting both leadership and global outreach.

🎓 Education 

Dr. Shirzadi earned his Ph.D. in Watershed Management Engineering (2014–2017) from Sari Agricultural Sciences and Natural Resources University, where his thesis focused on spatial prediction of shallow landslides using advanced data mining algorithms. He previously obtained an M.Sc. in Mass Movements (2007–2009) with a GPA of 19/20, also from Sari University, where he developed regional models for rockfall hazard mapping. His B.Sc. in Hydrology and Climatology (2003–2007) was awarded by the University of Agricultural Science and Natural Resources of Gorgan . Over the years, Dr. Shirzadi has cultivated robust expertise in geospatial modeling, sediment transport, and flood risk analysis. He also holds certifications in GIS, SPSS, AutoCAD, and multiple machine learning platforms, demonstrating both strong academic credentials and technical fluency.

🔬 Research Focus on Natural Hazards

Dr. Shirzadi’s research centers on the integration of AI, machine learning, and geospatial analysis to assess and mitigate natural hazards. His core focus includes:

  • Flood Susceptibility Mapping using hybrid machine learning models (e.g., ANFIS, rotation forests).

  • Shallow Landslide Prediction with ensemble algorithms combining decision trees, support vector machines, and neural networks.

  • Risk Zonation for erosion and sediment transport based on satellite data and multi-criteria analysis.

  • Uncertainty Quantification in hazard models to improve resilience strategies.

  • Remote Sensing Applications using Sentinel-1/2 and Landsat data for urban and rural hazard detection.

His goal is to create smart, scalable, and interpretable models that guide land use planning, policy-making, and emergency preparedness in climate-sensitive regions.

📘 Publication Top Notes

  1. A Comparative Assessment of Decision Trees Algorithms for Flash Flood Susceptibility Modeling
    Authors: Khosravi K., Pham B.T., Chapi K., Shirzadi A., et al.
    Journal: Science of The Total Environment (2018)
    Summary: Compared multiple decision tree algorithms to model flash flood susceptibility in Iran’s Haraz watershed, showing ensemble methods outperformed traditional single classifiers.

  2. Flood Susceptibility Modeling Using MCDM and Machine Learning
    Authors: Khosravi K., Shahabi H., Adamowski J., Shirzadi A., et al.
    Journal: Journal of Hydrology (2019)
    Summary: Evaluated and contrasted MCDM techniques and AI models; hybrid ML models proved superior in spatial flood risk analysis.

  3. A Novel Hybrid AI Approach for Flood Susceptibility
    Authors: Chapi K., Singh V.P., Shirzadi A., et al.
    Journal: Environmental Modelling & Software (2017)
    Summary: Developed a hybrid model combining several AI algorithms to predict flood risk, improving classification accuracy in complex terrains.

  4. Flood Susceptibility Using ANFIS-GA-DE Hybrid
    Authors: Hong H., Panahi M., Shirzadi A., et al.
    Journal: Science of the Total Environment (2018)
    Summary: Applied ANFIS enhanced with genetic and differential evolution algorithms for flood prediction in China’s Hengfeng area.

  1. Forecasting Floods Using ML & Statistical Models
    Authors: Shafizadeh-Moghadam H., Shahabi H., Shirzadi A., et al.
    Journal: Journal of Environmental Management (2018)
    Summary: Combined ML and traditional statistical techniques to forecast flood-prone zones, optimizing accuracy and runtime efficiency.

🚀Conclusion

Dr. Ataollah Shirzadi stands out as an exceptionally qualified candidate for the Best Researcher Award, with an impressive combination of scholarly output, innovative AI-based methodologies, global recognition, and academic service. His work not only advances theoretical models but also addresses urgent environmental and societal challenges. With continued growth in communication and cross-disciplinary application, he is poised to make even greater contributions to science and practice.