Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Zhan-Long Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology, CAS, with expertise in solid mechanics, micro-structured surfaces, and material science. His research addresses complex challenges in fluid dynamics, biosensor development, and AI-assisted material discovery. Recognized as a Shenzhen Pengcheng Distinguished Scholar, Dr. Wang holds numerous patents and leads groundbreaking projects in micro-droplet technology and condensation inhibition.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Dr. Zhan-Long Wang obtained his Bachelor’s degree in Civil Engineering from Jiangnan University in 2014, where he was mentored by Prof. Yuanzhi Bi. He then pursued an M.Sc. and Ph.D. in Solid Mechanics at the Institute of Mechanics, Chinese Academy of Sciences, under the guidance of Prof. Ya-Pu Zhao, completing his doctoral studies in 2021.

Professional Experience

Dr. Wang’s career includes a Postdoctoral Fellowship at the Shenzhen Institutes of Advanced Technology, CAS (2021-2023), where he later became an Assistant Professor in 2023. His academic journey reflects a strong commitment to advancing materials science, nanotechnology, and bioengineering through both research and innovation.

Research Interests

Dr. Wang specializes in fluid mechanics, micro/nano-structured materials, and the dynamic interfacial behaviors of droplets. His current research includes developing high-throughput micro-droplet array systems, enhancing biosensor technology, promoting and suppressing condensation in materials, and leveraging AI in material discovery.

Patents

Dr. Wang is an inventor on several patents that cover advanced material technologies, including innovations in fluid collection systems, microfluidic chips, and high-throughput synthesis methods for magnetic micro/nanomaterials. His patents contribute to applications in fields ranging from biomedical devices to environmental engineering.

Research Projects

Dr. Wang has led numerous significant projects as a Principal Investigator. His recent projects include an NSFC Young Scientist Fund project on droplet self-rotation, a Postdoctoral Fund project exploring bioactive solution wetting dynamics, and a Shenzhen Research Grant for developing transparent polymer films to inhibit condensation. His ongoing work at the Shenzhen Institutes of Advanced Technology under the Excellent Youth Fund focuses on large-scale micro-droplet array formation.

Top Notable Publications

Hu, J., & Wang, Z.-L. (2024). The effect of hygroscopic liquids on the spatial controlling of condensation on low-temperature surfaces. Surfaces and Interfaces, 55, 105430.

Citations: 0

Hu, J., Zhao, H., Xu, Z., Hong, H., & Wang, Z.-L. (2024). The effect of substrate temperature on the dry zone generated by the vapor sink effect. Physics of Fluids, 36(6), 067106.

Citations: 1

Lin, K., & Wang, Z. (2023). Multiscale mechanics and molecular dynamics simulations of the durability of fiber-reinforced polymer composites. Communications Materials, 4(1), 66.

Citations: 18

Xu, Y., Zhang, D., Wu, Q., Xu, Z., & Wu, T. (2023). Facet-dependent electrochemical behavior of Au-Pd Core@Shell nanorods for enhanced hydrogen peroxide sensing. ACS Applied Nano Materials, 6(20), 18739–18747.

Citations: 3

Wang, Z.-L., & Lin, K. (2023). The multi-lobed rotation of droplets induced by interfacial reactions. Physics of Fluids, 35(2), 021705.

Citations: 1

Wang, Z., Wang, X., Miao, Q., Gao, F., & Zhao, Y.-P. (2021). Spontaneous motion and rotation of acid droplets on the surface of a liquid metal. Langmuir, 37(14), 4370–4379.

Citations: 8

Wang, Z., Wang, X., Miao, Q., & Zhao, Y.-P. (2021). Realization of self-rotating droplets based on liquid metal. Advanced Materials Interfaces, 8(3), 2001756.

Citations: 6

Conclusion

Dr. Zhan-Long Wang’s strong academic record, pioneering research, impressive patents, and multiple awards position him as an exemplary candidate for the Research for Best Scholar Award. His innovative contributions to engineering and science demonstrate his commitment to advancing technology and society, making him highly suitable for this distinguished recognition.

 

 

 

 

 

 

 

Dipraj Debnath | Aerospace Engineering | Best Researcher Award

Mr. Dipraj Debnath | Aerospace Engineering | Best Researcher Award

Mr. Dipraj Debnath, Queensland University of technology, Australia

Mr. Dipraj Debnath is a PhD candidate in Robotics at the Queensland University of Technology (QUT), Australia, where his research focuses on multi-UAV navigation, path planning, and obstacle avoidance. With a Master’s degree in Aerospace Engineering from Universiti Sains Malaysia and a B.Sc. in Electrical and Electronics Engineering from the American International University-Bangladesh, he brings a strong foundation in UAV and robotics systems. His technical skills include MATLAB, Simulink, Python, and ROS2. Additionally, he has experience as a Sessional Academic at QUT, guiding students in advanced UAV technologies. Mr. Debnath’s work aims to advance autonomous UAV systems through innovative problem-solving and optimization techniques.

PROFILE

Orcid Profile

Educational Details

Mr. Dipraj Debnath is currently pursuing his PhD in Robotics, focusing on multi-UAV navigation, path planning algorithms, and obstacle avoidance at the Queensland University of Technology (QUT) in Brisbane, Australia. He completed his Master of Science (M.Sc.) in Aerospace Engineering in research mode at Universiti Sains Malaysia (USM), Penang, Malaysia, from 2019 to 2022. His undergraduate studies were completed at the American International University-Bangladesh, where he graduated with a Bachelor of Science (B.Sc.) in Electrical and Electronics Engineering, achieving an impressive 83% score.

Professional Experience

Mr. Debnath’s professional journey in academia and research has been marked by a blend of advanced technical and instructional roles. As a PhD candidate at QUT, he has been involved in research aimed at solving complex problems in multi-UAV navigation and target-finding algorithms. His previous experience includes work as a Graduate Research Assistant at USM, where he focused on optimizing path planning for Unmanned Aerial Systems (UAS). In 2024, he served as a Sessional Academic at QUT, where he conducted tutorials for an advanced course on Unmanned Aircraft Systems, guiding students through practical exercises and supporting their comprehension of UAV technologies.

Research Interest

Mr. Debnath’s primary research interests are in robotics, particularly multi-UAV systems, autonomous navigation, obstacle detection, and algorithmic optimization for UAS. His work has consistently centered on enhancing the safety, efficiency, and autonomy of unmanned aerial vehicles, with a special focus on obstacle avoidance and path planning.

Top Notable Publications

Debnath, D. (2024). “A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications.” Remote Sensing, 16(21), Article 4019. DOI: 10.3390/rs16214019

Debnath, D. (2024). “An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning.” Drones, 8(7), Article 302. DOI: 10.3390/drones8070302

Debnath, D. (2023). “QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS.” Drones, 7(11), Article 678. DOI: 10.3390/drones7110678

Debnath, D. (2021). “Adapting Travelling Salesmen Problem for Real-Time UAS Path Planning Using Genetic Algorithm.” In Lecture Notes in Mechanical Engineering. DOI: 10.1007/978-981-16-0866-7_12.

Conclusion

Given Mr. Dipraj Debnath’s robust academic qualifications, specialized research, teaching contributions, prestigious awards, and technical skills, he embodies the attributes of an outstanding researcher. His work aligns with the award’s criteria for advancing research excellence, making him a strong candidate for the Research for Best Researcher Award.

 

 

 

Andry Sedelnikov | Aerospace Engineering | Best Researcher Award

Prof. Andry Sedelnikov | Aerospace Engineering | Best Researcher Award 

Prof. Andry Sedelnikov, Samara University, Russia

Professor Andry Sedelnikov, a distinguished academic and researcher at Samara University, specializes in aerospace engineering with a focus on spacecraft testing, control systems, and microgravity modeling. With significant contributions to small spacecraft design and diagnostics, he has been honored with awards such as the Vernadsky Medal and scholarships from the Russian Academy of Sciences and Boeing. His work enhances our understanding of aerospace systems and microgravity platforms, bridging engineering innovation with practical applications in space exploration.

PROFILE

Orcid Profile

Educational Details

Professor Andry Sedelnikov completed his education in aerospace engineering, beginning with an engineering degree in spacecraft (1994), followed by a Ph.D. in theoretical mechanics (1998), and a Doctorate in Technical Sciences focusing on spacecraft testing (2015). His extensive academic foundation supports his advanced research in space engineering and theoretical mechanics.

Professional Experience

Prof. Sedelnikov is a professor at Samara University, where he serves across multiple departments: Space Engineering, Theoretical Mechanics, Higher Mathematics, and Flight Dynamics and Control Systems. He is also a leading researcher at Samara’s Research Space Engineering Institute and heads the Research Mechanics Group. With a track record of guiding Ph.D. candidates (four completed and four ongoing), his mentorship further enhances his contributions to the field.

Research Interest

His research spans a variety of aerospace engineering topics, including spacecraft monitoring, control, diagnostics, thermal conductivity, thermoelasticity, and microgravity modeling. These areas are particularly relevant to current advancements in spacecraft technology and microgravity processes.

Top Notable Publications

Technologies for Increasing the Control Efficiency of Small Spacecraft with Solar Panels by Taking into Account Temperature Shock

Authors: A. S. Shakirov, A. A. Duyunov, S. A. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.3390/technologies12100207

Identification of Carbon-Short Fibers by Image Segmentation Technologies

Authors: A. Duyunov, A. Shakirov, S. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202410.0160.v1

Construction and Verification on the Isoi Small Spacecraft (SXC3-219) Models for Estimating the Methodological Error in Calculating the Angular Velocity Based on On-Board Measurements of the Induction Vector of the Earth’s Magnetic Field

Authors: A. Shakirov, A. Duyunov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202407.1899.v1

Short Fiber-Reinforced Polymer Polyamide 6 Lugs and Selective Laser-Melted Ti-6Al-4V Bushing Contact Cohesive Zone Model Mode II Parameters’ Evaluation

Authors: A. Shakirov, S. A. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.3390/computation12050105

Evaluation of SFRP Lugs with SLM Bushing Load Capacity and Dependence of CZM Mode II Model Parameters on Embedded Elements Surface Roughness

Authors: A. Shakirov, A. Duyunov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202403.0402.v1

Algorithm for Propeller Optimization Based on Differential Evolution

Authors: A. Duyunov, S. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.3390/computation12030052

The Methodology for Estimating the Angular Velocity of Rotation of a Small Spacecraft Based on a Limited Number of Magnetometric Measurements

Authors: A. Duyunov, A. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.1007/978-981-97-6937-7_52

Estimating the Inertia Tensor Components of an Asymmetrical Spacecraft When Removing It from the Operational Orbit at the End of Its Active Life

Authors: A. Duyunov, S. A. Shakirov

Year: 2023

Citations: Not available yet; newly published.

DOI: 10.3390/s23239615

Algorithm for Propeller Optimization Based on Differential Evolution (Preprint)

Authors: A. Duyunov, S. A. Shakirov

Year: 2023

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202311.0706.v1

Conclusion

Given Prof. Andry Sedelnikov’s substantial contributions to aerospace engineering, extensive educational background, and commitment to mentorship and research, he is highly suitable for the Research for Best Researcher Award. His innovative work on small spacecraft technologies and his leadership in academic and research initiatives make him a valuable candidate for this honor.