Souleyman Hassan | Technology Scientists Innovations | Best Researcher Award

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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.

Chao Yang | Mechanical Engineering | Best Researcher Award

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Prof. Dr. Chao Yang | Mechanical Engineering | Best Researcher Award

Associate Professor, Jiaxing University, China.

Dr. Chao Yang, born in 1982, is currently a Lecturer in the School of Mechanical Engineering at Jiaxing University, China. He holds a Ph.D. in Mechanical Engineering from Zhejiang Sci-Tech University (2019), preceded by an M.E. in Engineering Mechanics from Dalian University of Technology (2009) and a B.E. in Process Equipment & Control Engineering from Zhengzhou University of Light Industry (2005). Since joining academia, Dr. Yang has consistently contributed to advancing the mechanics of parallel manipulators, focusing on kinematics, dynamics, stiffness analysis, and intelligent optimization algorithms. With over 20 peer-reviewed publications in reputable international journals and Awards, he has become a recognized figure in robot modeling and design. Dr. Yang also serves as a reviewer for journals like Mechanism and Machine Theory and Applied Mathematical Modelling, further reflecting his deep academic engagement. His work bridges theoretical innovation and practical engineering applications in robotics and precision mechanisms.

🧾Author Profile

🏆 Strengths for the Award

1. Deep Specialization in Parallel Manipulators

Dr. Yang’s research is highly focused and impactful in the domains of kinematics, stiffness modeling, dynamics, and optimization of parallel manipulators. His work addresses both theoretical foundations and practical design aspects, which are critical to modern robotics and automation systems.

2. Robust and Consistent Publication Record

Since 2018, Dr. Yang has published 20+ peer-reviewed articles, many in high-impact international journals such as:

  • Mechanism and Machine Theory

  • Mechanical Sciences

  • Chinese Journal of Mechanical Engineering

  • Robotica

  • International Journal of Control

3. Novel Contributions in Modeling Techniques

Dr. Yang has proposed and validated novel methodologies including:

  • Elastodynamic and elastostatic modeling of over-constrained systems

  • Use of neural networks and principal component analysis for multi-objective optimization

  • Finite-time tracking control techniques for underwater vehicles
    These show innovation, interdisciplinary thinking, and a mastery of mechanical system modeling.

4. International Journal Reviewership

Dr. Yang serves as a reviewer for journals like Applied Mathematical Modelling and Mechanism and Machine Theory, which reflects recognition of his expertise by the academic community.

🎓 Education 

Dr. Chao Yang began his academic journey in mechanical disciplines with a Bachelor’s degree in Process Equipment & Control Engineering from Zhengzhou University of Light Industry, China, in 2005. He continued to sharpen his analytical and mathematical expertise by completing his Master’s in Engineering Mechanics at Dalian University of Technology in 2009, where he laid the groundwork for his future in dynamic systems and mechanical modeling. In 2019, he earned his Ph.D. in Mechanical Engineering from Zhejiang Sci-Tech University, focusing on advanced dynamic analysis and optimization techniques for parallel robotic manipulators. His academic training integrates control theory, mechanical design, and computational modeling—making him uniquely positioned to tackle cutting-edge problems in modern robotics. This rich educational background directly contributes to his current research, which blends multi-body dynamics, elastostatics, and AI-based optimization in robotic mechanisms.

🔬 Research Focus On Mechanical Engineering

Dr. Chao Yang’s research focuses on the mechanics, modeling, and optimization of parallel manipulators—key elements in robotics and precision automation. His work revolves around four core themes: kinematics, stiffness modeling, dynamic analysis, and multi-objective optimization. He explores how over-constrained or hybrid manipulator systems can be optimized using neural networks, principal component analysis, and evolutionary algorithms. His innovative modeling methods extend to both elastostatic and elastodynamic domains, enabling more precise and adaptive control systems. He also delves into applications such as underwater robotics and hybrid robot platforms. By avoiding Lagrangian multipliers in modeling and adopting screw theory in kinetostatic design, he simplifies computational complexity while maintaining physical accuracy. His contributions fill a crucial gap in designing robust, high-performance robotic systems that are used in manufacturing, aerospace, and intelligent automation. Dr. Yang’s research is practical, interdisciplinary, and driven by the demands of next-generation robotics.

📚 Publications Top Notes

1. A hybrid algorithm for the dimensional synthesis of parallel manipulators

Journal: Proc. IMechE Part C: Journal of Mechanical Engineering Science, 2025
Authors: Yang, C.; Zhang, H.; Huang, F.; Ye, W.
Summary: This study presents a novel hybrid algorithm integrating evolutionary computing and deterministic search for optimizing the geometry of parallel manipulators. It addresses trade-offs in workspace, stiffness, and dexterity with improved computational performance.

2. Elastodynamic modeling and analysis of a 4SRRR overconstrained parallel robot

Journal: Mechanical Sciences, 2025
Authors: Wang, B.; Zhao, Y.; Yang, C.; Hu, X.; Zhao, Y.
Summary: Investigates vibration and dynamic response of a 4SRRR parallel robot. The study contributes to better understanding structural deformation under motion, crucial for high-speed precision applications.

3. Kinematic Analysis and Optimization Design of 2-PRU-PRRPa Parallel Mechanism

Journal: Transactions of the Chinese Society for Agricultural Machinery, 2025
Authors: Zhang, W.; Feng, S.; Yuan, X.; Sun, P.; Yang, C.; Lu, Y.
Summary: Offers a systematic study of a novel parallel mechanism applied in agricultural automation, optimizing motion paths and actuator placement.

4. Multibody elastodynamic modeling of parallel manipulators based on the Lagrangian equations without Lagrangian multipliers

Journal: Proc. IMechE Part C: Journal of Mechanical Engineering Science, 2025
Authors: Gong, Y.; Lou, J.; Yang, C.; Ye, W.
Summary: This paper introduces a novel elastodynamic modeling approach for parallel manipulators that bypasses the use of Lagrangian multipliers. The methodology improves numerical efficiency and simplifies model derivation, making it suitable for real-time control and simulation of complex parallel robotic systems.

5. Dynamic modeling and performance analysis of the 2PRU-PUU parallel mechanism

Journal: Mechanical Sciences, 2024
Authors: Sun, T.; Ye, W.; Yang, C.; Huang, F.
Summary: Focuses on the dynamic modeling of a 2PRU-PUU architecture parallel robot. Through simulation and performance metrics evaluation, the study demonstrates how structural configurations affect system response and highlights its suitability for precision tasks in constrained workspaces.

Conclusion

Dr. Chao Yang is highly suitable for the Research for Best Researcher Award—particularly in domains of mechanical systems design, parallel robots, and multi-objective optimization. His contributions are academically rich, technically deep, and steadily expanding. While early in his career stage as a lecturer, the maturity and depth of his publication portfolio, coupled with innovative methodologies, clearly reflect a rising star in mechanical engineering research.