Jidong Jia | Engineering | Best Researcher Award

Posted on by Shen Awards

Dr. Jidong Jia | Engineering | Best Researcher Award

Hebei University of Technology, China

Jidong Jia is a dedicated and innovative researcher specializing in the fields of intelligent robotics, robot dynamics, human-robot interaction, and adaptive wall-climbing robots. His research has significantly contributed to the development of precise dynamic modeling, intelligent perception, and safety control mechanisms in collaborative robotics. Dr. Jia’s work addresses essential challenges in robot stability, safe human-machine interaction, and intelligent robotic operations in complex environments. His ability to integrate multi-objective optimization, neural network compensation, and dynamic identification methods into practical robotic systems makes his research highly impactful and relevant. Dr. Jia has published extensively in high-impact international journals and conferences, with notable works focusing on magnetic-wheeled wall-climbing robots, dynamic parameter identification, obstacle avoidance, and coupling dynamics in mobile manipulators. His academic excellence has been consistently recognized through prestigious awards, including the Wiley China Excellent Author Program and the Outstanding Doctoral Dissertation Award from Hebei University of Technology. Through his research, Dr. Jia is contributing to advancing intelligent robot design, improving safety in human-robot collaboration, and enhancing robotic performance in real-world applications. His innovative thinking and continuous pursuit of technological breakthroughs highlight his potential to be a leading figure in the robotics community.

Professional Profile

Education

Jidong Jia has pursued a comprehensive educational journey in mechanical engineering and robotics at prestigious Chinese institutions. He began his academic path at Shandong University, where he earned his Bachelor of Science in Mechanical Engineering from September 2010 to June 2014. During this period, he developed a strong foundation in mechanical systems and engineering design. He continued his higher education at the Hebei University of Technology, where he completed an integrated MD-PhD program in Mechanical Engineering from September 2015 to January 2022. This intensive program allowed him to specialize further in intelligent robotic systems, collaborative robot dynamics, and safe human-robot interactions. Complementing his doctoral studies, Dr. Jia participated in a Joint Doctoral Training program at Harbin Institute of Technology (C9 League) from September 2017 to January 2022, focusing on cutting-edge technologies in robot modeling, disturbance estimation, and control mechanisms. His education provided him with a unique interdisciplinary skill set, blending theoretical knowledge with practical research applications. This strong academic background has equipped Dr. Jia with the expertise to address complex challenges in robot dynamics, intelligent operations, and adaptive mechanisms, positioning him to make significant contributions to the robotics field.

Professional Experience

Throughout his academic career, Jidong Jia has gained substantial professional experience through extensive research, development, and collaborative projects within the field of robotics. His research at the Hebei University of Technology and Harbin Institute of Technology focused on developing precise robot dynamic models, safe human-robot interaction mechanisms, and intelligent control systems. Dr. Jia’s hands-on experience includes the design of magnetic-wheeled wall-climbing robots, the creation of adaptive climbing mechanisms, and the implementation of dynamic force estimation and control systems for collaborative robots. His work is highly application-driven, addressing real-world challenges such as facade maintenance, unstructured terrain operations, and obstacle navigation in complex environments. Dr. Jia has led the development of robotic systems that incorporate deep visual reinforcement learning, artificial potential field-based motion planning, and dynamic stability evaluation methods. His involvement in multiple funded research projects and contributions to high-impact journals and international conferences reflect his growing influence in the robotics research community. Dr. Jia’s ability to balance theoretical development with practical engineering solutions has established him as a skilled and promising researcher in robot dynamics, intelligent systems, and safety-focused robotic operations.

Research Interest

Jidong Jia’s primary research interests lie in robot dynamics, human-robot interaction, intelligent robotic operations, and adaptive mechanism design. He focuses on solving critical challenges related to the precise dynamic modeling of collaborative robots, disturbance force estimation, and safe interaction control mechanisms in uncertain environments. His work addresses the growing demand for safety, precision, and adaptability in next-generation robotic systems, particularly those operating in human-centered and unstructured scenarios. Dr. Jia has extensively explored high-load wall-climbing robots, developing intelligent perception systems and control methods for robots navigating complex facades and obstacles. Additionally, his research emphasizes self-stabilizing control strategies and anti-overturning mechanisms for composite robots functioning in dynamic terrains. Dr. Jia’s interests also include robotic learning, neural network compensation, proprioceptive sensing, and dynamic force field mapping. His integration of artificial intelligence with mechanical design allows robots to perceive, adapt, and interact safely and efficiently. Moving forward, Dr. Jia aims to advance research in intelligent autonomous robots, hybrid control systems, and real-time adaptive robotic behaviors that contribute to the safe deployment of collaborative robots in various industrial and social applications.

Research Skills

Jidong Jia possesses a wide range of advanced research skills essential for cutting-edge developments in intelligent robotics. He has expertise in robotic system modeling, particularly in the precise identification of dynamic parameters under multiple uncertainties. Dr. Jia is proficient in developing hybrid dynamic models that incorporate neural network-based error compensation and has successfully proposed online identification and compensation approaches to enhance robotic performance. His skills extend to multi-objective optimization, control theory, and artificial potential field-based motion planning for obstacle avoidance. Dr. Jia is experienced in robotic perception systems, utilizing deep visual reinforcement learning to enable robots to autonomously perceive and navigate complex environments. He has demonstrated capabilities in designing adaptive mechanisms, magnetic-wheeled climbing robots, compliant suspension systems, and anti-overturning mobile manipulators. His technical proficiency includes the development of momentum-based disturbance observers, force-position hybrid control strategies, and proprioceptive sensing-based identification methods. Dr. Jia’s skill set reflects his ability to integrate mechanical engineering principles with intelligent control, simulation, and optimization technologies, allowing him to build safe, efficient, and adaptive robotic systems capable of complex real-world operations.

Awards and Honors

Jidong Jia has received several prestigious awards and honors in recognition of his outstanding academic achievements and research contributions. He was selected for the Wiley China Excellent Author Program in 2025, a distinction awarded to exceptional authors for impactful publications. His doctoral research was acknowledged with the Outstanding Doctoral Dissertation Award from Hebei University of Technology in 2023, underlining the significance of his contributions to robotics and dynamic modeling. In 2022, Dr. Jia’s work was further recognized with the Outstanding Paper Award from the Chinese Journal of Mechanical Engineering, reflecting his ability to produce influential and high-quality research. Earlier in his academic journey, he was awarded the National Scholarship in 2019 by the Ministry of Education of China, a highly competitive honor granted to the top 1% of students nationwide for academic excellence and research potential. These accolades not only validate Dr. Jia’s innovative work in robotics but also emphasize his consistent dedication to advancing knowledge and solving complex engineering problems. His recognition at national and international levels highlights his growing reputation as a talented and impactful researcher in the field.

Conclusion

In conclusion, Dr. Jidong Jia stands out as an accomplished and promising researcher whose contributions significantly advance the fields of intelligent robotics, dynamic modeling, and safe human-robot interactions. His comprehensive educational background, extensive research experience, and innovative problem-solving approach position him as a leader in designing adaptive, intelligent, and safety-conscious robotic systems. Dr. Jia has demonstrated excellence in both theoretical and applied aspects of robotics, contributing to the development of wall-climbing robots, compliant mechanisms, and dynamic anti-overturning solutions for mobile manipulators. His outstanding academic performance and numerous awards further validate his impact and potential. Moving forward, Dr. Jia’s work is expected to play a vital role in shaping the next generation of collaborative robotic systems capable of operating in complex, dynamic, and human-centric environments. By expanding his research through international collaborations and focusing on the translation of his innovations into industrial applications, he can further elevate his influence in the global robotics community. Dr. Jidong Jia’s impressive body of work and forward-thinking research agenda make him an excellent candidate for prestigious recognitions such as the Best Researcher Award.

Publication Top Notes

  1. Development of an Omnidirectional Mobile Passive‐Compliant Magnetic‐Wheeled Wall‐Climbing Robot for Variable Curvature Facades
    Authors: Pei Jia, Jidong Jia, Manhong Li, Minglu Zhang, Jie Zhao
    Year: 2025

  2. Design and Analysis of a Push Shovel‐Type Hull‐Cleaning Wall‐Climbing Robot
    Authors: Pei Yang, Jidong Jia, Lingyu Sun, Minglu Zhang, Delong Lv
    Year: 2024

  3. Innovative Strain Measuring Device with Flex Sensor for Twisted and Coiled Actuator and Dexterous Hand Application
    Authors: Man Wang, Xiaojun Zhang, Minglu Zhang, Manhong Li, Chengwei Zhang, Jidong Jia
    Year: 2024

  4. Enhanced Robot Obstacle Avoidance Strategy: Efficient Distance Estimation and Collision Avoidance for Hidden Robots
    Authors: Xiaojun Zhang, Minglong Li, Jidong Jia, Lingyu Sun, Manhong Li, Minglu Zhang
    Year: 2024

  5. Magnetic Circuit Analysis of Halbach Array and Improvement of Permanent Magnetic Adsorption Device for Wall-Climbing Robot
    Authors: Shilong Jiao, Xiaojun Zhang, Xuan Zhang, Jidong Jia, Minglu Zhang
    Year: 2022

  6. Improved Dynamic Parameter Identification Method Relying on Proprioception for Manipulators
    Authors: Jidong Jia, Minglu Zhang, Changle Li, Chunyan Gao, Xizhe Zang, Jie Zhao
    Year: 2021

  7. Research Progress and Development Trend of the Safety of Human-Robot Interaction Technology
    Authors: Jidong Jia, Minglu Zhang
    Year: 2020

  8. Dynamic Parameter Identification for a Manipulator with Joint Torque Sensors Based on an Improved Experimental Design
    Authors: Jidong Jia, Minglu Zhang, Xizhe Zang, He Zhang, Jie Zhao
    Year: 2019

Mingjie Pu | Solid Mechanics | Best Researcher Award

Posted on by Shen Awards

Dr. Mingjie Pu | Solid Mechanics | Best Researcher Award

School of Mechanical Engineering and Rail Transit from Changzhou University, China

Dr. Mingjie Pu is an accomplished lecturer at the School of Mechanical Engineering and Rail Transit, Changzhou University, China. He received his Ph.D. in Solid Mechanics from Nanjing University of Aeronautics and Astronautics (NUAA), where his research focused on the intricate relationship between mechanical deformation and electrocatalytic performance in low-dimensional materials. Dr. Pu has made significant strides in the field of mechano-electro-chemical coupling, a multidisciplinary area combining principles from mechanics, physics, and chemistry. His investigations emphasize how surface and interface engineering can modulate electrochemical activities, contributing to improved hydrogen evolution (HER), oxygen evolution (OER), and carbon dioxide reduction (CO₂RR) reactions. With an impressive portfolio of publications in top-tier journals like Advanced Materials and ACS Applied Materials & Interfaces, he is emerging as a notable researcher in the field of energy materials. His commitment to scientific innovation is recognized through multiple national and institutional awards. While he is in the early stages of his academic career, Dr. Pu exhibits strong potential for leadership in interdisciplinary research. His work not only advances fundamental understanding but also lays the groundwork for next-generation sustainable energy technologies. This makes him a compelling candidate for honors such as the Best Researcher Award.

Professional Profile

Education

Dr. Mingjie Pu has built a strong educational foundation that reflects both depth and progression in the field of mechanical and materials engineering. He earned his Ph.D. in Solid Mechanics from the prestigious Nanjing University of Aeronautics and Astronautics (NUAA) between September 2019 and October 2023. His doctoral studies were conducted at the Institute of Nano Science under the mentorship of Prof. Yufeng Guo, focusing on mechano-electro-chemical phenomena in low-dimensional materials. Prior to his Ph.D., Dr. Pu completed his Master of Science in Power Engineering at Nanjing Tech University in June 2019. Under the supervision of Prof. Jianqiu Zhou, his master’s research dealt with the mechanical behavior and deformation mechanisms of nanocrystalline alloys. His academic journey began at Changzhou University Huaide College, where he obtained a Bachelor of Engineering degree in Process Equipment and Control Engineering in June 2016. This undergraduate experience laid the groundwork for his future academic endeavors, equipping him with fundamental skills in mechanical systems and materials science. Throughout his academic career, Dr. Pu has consistently demonstrated academic excellence, securing prestigious scholarships and recognitions that highlight his potential as a future leader in engineering research.

Professional Experience

Dr. Mingjie Pu currently serves as a lecturer at Changzhou University in the School of Mechanical Engineering and Rail Transit. In this role, he is actively engaged in both teaching and research, contributing to the academic development of students while pursuing innovative studies in his specialized field. Although early in his professional career, Dr. Pu has already carved out a distinctive niche through his interdisciplinary research involving solid mechanics, electrocatalysis, and materials engineering. His current responsibilities also likely include supervising undergraduate and graduate research projects, developing course materials, and participating in departmental activities aimed at academic enrichment. His previous experiences during his doctoral and master’s programs have shaped his approach to problem-solving and innovation. During his Ph.D. at NUAA, he worked closely with interdisciplinary teams, bridging the gap between theoretical modeling and applied materials science. Similarly, during his M.S. studies at Nanjing Tech University, he conducted rigorous mechanical testing and simulations that enhanced his understanding of material behavior under various conditions. As he continues his academic journey, Dr. Pu’s professional trajectory suggests a commitment to both educational excellence and cutting-edge research that addresses critical challenges in sustainable energy technologies.

Research Interests

Dr. Mingjie Pu’s research interests are deeply rooted in the interdisciplinary study of mechano-electro-chemical coupling, particularly in low-dimensional materials. His work focuses on understanding how mechanical deformation influences the electrocatalytic properties of nanomaterials at both electronic and atomic scales. This includes investigating key electrochemical reactions such as the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), and carbon dioxide reduction reaction (CO₂RR). By integrating solid mechanics, physics, and chemistry, he explores the potential of surface and interface engineering in enhancing catalytic performance. Dr. Pu is especially interested in transition metal chalcogenides, magnetic two-dimensional monolayers, and other emerging low-dimensional materials. His theoretical approach employs mechanical modeling, structural design, and strain engineering to modulate material properties for optimized functionality. This multidisciplinary focus aligns closely with current global priorities in renewable energy and environmental sustainability. Dr. Pu’s research not only contributes to fundamental scientific understanding but also holds practical implications for the development of advanced energy conversion technologies. His work is at the forefront of innovations aimed at improving the efficiency, durability, and scalability of electrocatalysts, making significant contributions to clean energy research and next-generation materials science.

Research Skills

Dr. Mingjie Pu possesses a robust and versatile set of research skills that span across mechanical modeling, theoretical simulations, and materials characterization. His expertise lies in applying solid mechanics principles to study and engineer electrocatalytic materials at the nano and atomic scales. He is highly skilled in first-principles calculations and molecular dynamics simulations, which he uses to predict and analyze the behavior of low-dimensional materials under various mechanical and chemical conditions. Dr. Pu is adept at designing strain-engineering frameworks to enhance catalytic performance, a skill that combines both theoretical insight and practical relevance. His research also involves surface/interface engineering and defect analysis in two-dimensional materials such as transition metal dichalcogenides. Additionally, he is proficient in structural design and flexoelectricity concepts, utilizing them to propose innovative pathways for energy conversion. Dr. Pu’s capability to interpret complex data and correlate it with experimental findings enhances the rigor and credibility of his work. His methodological precision and interdisciplinary fluency enable him to bridge the gap between fundamental science and applied engineering, making him a valuable contributor to advanced research in materials science and energy technology.

Awards and Honors

Dr. Mingjie Pu has been recognized for his academic excellence and research contributions through several prestigious awards and honors. During his doctoral studies at Nanjing University of Aeronautics and Astronautics (NUAA), he was named an “Advanced Individual in Scientific Research and Innovation” in 2022, reflecting his significant contributions to cutting-edge interdisciplinary research. In the same year, he was awarded the “Three Merits Graduate Student” honor, which recognizes excellence in academic performance, research productivity, and social engagement. Earlier in his academic career, he received the “National Scholarship for Master’s Students” from the Ministry of Education of the People’s Republic of China in 2018. This highly competitive scholarship is a testament to his strong academic standing and research potential at the national level. These accolades collectively underscore Dr. Pu’s dedication to innovation, scholarly rigor, and scientific advancement. They also highlight the impact of his research on both academic and practical fronts. Such recognition early in his career not only affirms his capabilities but also forecasts a trajectory of continued excellence and leadership in scientific research, especially in the areas of materials engineering and sustainable energy technologies.

Conclusion

In conclusion, Dr. Mingjie Pu is a highly promising early-career researcher whose interdisciplinary work in mechano-electro-chemical coupling holds significant relevance for the development of advanced energy materials. His innovative approach integrates solid mechanics, theoretical modeling, and material science to address key challenges in electrocatalysis, particularly for reactions such as HER, OER, and CO₂RR. His scholarly output, including several high-impact journal publications, and his academic accolades position him as a rising star in the field. While expanding his international collaborations and engaging in major funded research projects would further strengthen his profile, his current contributions already reflect a depth of knowledge and a commitment to impactful science. Dr. Pu’s ability to combine theoretical insights with practical applications makes him not only a valuable asset to his institution but also a strong contender for competitive research awards. His work exemplifies the qualities of innovation, interdisciplinary integration, and scientific rigor that such honors are designed to recognize. Given his achievements to date and his potential for continued impact, Dr. Pu is a fitting nominee for the Best Researcher Award.

Publications Top Notes

  • Title: Molecular dynamics and first-principles investigation of tribological behaviors of black phosphorus-coated substrates

  • Authors: Pu, Mingjie; Hu, Rui; Liu, Lin

  • Journal: Computational Materials Science

  • Year: 2025

Guocheng Qin | Engineering | Best Researcher Award

Posted on by Shen Awards

Mr. Guocheng Qin | Engineering | Best Researcher Award

Researcher from Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, China

Qin Cheng is a dedicated and innovative civil engineering researcher with a strong focus on integrating advanced digital technologies such as Building Information Modeling (BIM), 3D laser scanning, and Unmanned Aerial Vehicle (UAV) systems into modern construction and infrastructure projects. Born in March 1994, he has consistently demonstrated academic excellence, practical engineering insight, and a deep interest in smart city development and sustainable infrastructure. His work spans across both academic and applied settings, with a particular emphasis on intelligent monitoring systems, reverse modeling, and digital design optimization. He has contributed to various high-profile research initiatives and collaborative international projects, particularly during his tenure as a visiting scholar at the University of Louvain. Qin Cheng has also been actively involved in training graduate students, guiding technical design, and promoting intelligent construction practices. His experience working with institutions such as the Chongqing Leuven Institute of Smart City and Sustainable Development and contributions to international exhibitions like the China Intelligent Industry Expo reflect his ability to bridge academic research with real-world applications. With a clear commitment to advancing civil engineering practices through technology and innovation, Qin Cheng continues to emerge as a promising voice in the field of smart construction and structural engineering.

Professional Profile

Education

Qin Cheng’s academic journey in civil engineering began with a Bachelor of Engineering from Zhengzhou Institute of Technology and Business, where he studied from September 2013 to July 2017. Building on a solid undergraduate foundation, he pursued a Master of Engineering in Civil Engineering with a structural specialization at Chongqing Jiaotong University from September 2017 to July 2020. During his master’s studies, Qin demonstrated exceptional academic and research abilities, further enriching his education through international exposure. Between October 2018 and January 2019, he served as a visiting scholar at the University of Louvain in Belgium, engaging in scholarly exchanges focused on construction waste regeneration and sustainable urban development. This international experience broadened his perspective on global engineering practices and enhanced his research on smart city applications. His academic background is marked by strong technical competence in structural systems, intelligent monitoring, and construction digitization. Through both domestic and international institutions, Qin Cheng has built a strong academic profile grounded in research excellence, multidisciplinary learning, and hands-on application of modern civil engineering technologies.

Professional Experience

Qin Cheng has built a diverse portfolio of professional experience that merges academic research, international collaboration, and field application. One of his notable professional engagements was his time as a visiting scholar at the University of Louvain (October 2018 to January 2019), where he contributed to academic exchanges on sustainable urban development and construction waste regeneration. He also engaged with world-renowned engineering firms such as Jan de Nul Group to explore cutting-edge civil engineering practices. Qin served as a researcher at the Chongqing Leuven Institute of Smart City and Sustainable Development, where he played a key role in conducting technical breakthroughs in forward design, reverse modeling, and intelligent monitoring systems. His responsibilities included training graduate students in architectural information technology, guiding bridge reverse modeling projects in Norway, and participating in major events such as the China International Intelligent Industry Expo. His professional activities emphasize the integration of BIM and 3D technologies into infrastructure development. Through his involvement in large-scale projects such as the Taihong Yangtze River Bridge and the FAW-Volkswagen Digital Factory, Qin has effectively applied his academic expertise to real-world engineering challenges. His career path reflects a commitment to technological innovation, cross-border collaboration, and the advancement of intelligent infrastructure systems.

Research Interests

Qin Cheng’s research interests center on the integration of advanced digital technologies in civil engineering, with a particular focus on intelligent construction and infrastructure management. He is deeply engaged in developing and applying Building Information Modeling (BIM), 3D laser scanning, and UAV technologies to improve the design, monitoring, and maintenance of civil structures. His work explores how digital tools can optimize construction processes, enhance precision in modeling, and support virtual simulations for pre-assembly. Qin is also interested in reverse modeling techniques for complex structures, smart monitoring of bridges and buildings, and the use of point cloud data in structural analysis. His international collaborations have further shaped his interest in sustainable urban development, where he examines how smart technologies can be leveraged to build resilient, efficient cities. Through projects focused on highway management systems, digital curtain wall design, and large-scale bridge construction, he aims to create innovative solutions that address contemporary challenges in civil engineering. Qin’s research embodies a forward-thinking approach that blends theoretical modeling with practical application, striving to make infrastructure safer, more efficient, and more intelligent through continuous technological advancement.

Research Skills

Qin Cheng possesses a robust set of research skills that enable him to address complex challenges in civil and structural engineering through technological innovation. His core competencies include advanced proficiency in Building Information Modeling (BIM) and 3D laser scanning, which he has used extensively for deformation monitoring, digital pre-assembly, and reverse modeling of both buildings and bridges. He is skilled in UAV route planning and tilt photography for site inspections and large-scale mapping, showcasing his adaptability in remote sensing applications. His hands-on experience with point cloud data processing enables him to conduct accurate structural analysis and digital model construction. Qin is also proficient in integrating BIM with IoT systems for smart bridge management, combining sensor data with digital modeling for real-time infrastructure monitoring. In academic and collaborative environments, he has guided graduate students in technical training and project design, demonstrating strong mentorship capabilities. He is comfortable working across international platforms and has presented his work at major conferences. Qin’s methodological rigor, combined with his technical agility, allows him to innovate across design, monitoring, and operational aspects of civil engineering projects. His ability to apply research techniques to practical scenarios is a key strength in his professional and academic career.

Awards and Honors

Throughout his academic and early research career, Qin Cheng has received several prestigious awards and honors that reflect his dedication, excellence, and potential in the field of civil engineering. During his undergraduate studies, he was consistently recognized with merit-based scholarships, including the National Encouragement Scholarship and first-class and second-class academic scholarships. His excellence continued into his postgraduate years at Chongqing Jiaotong University, where he was awarded the Beijing CCCC Road Tong Million Scholarship and the first-class postgraduate scholarship. In 2020, he won the second prize in the “My College Life” competition and the third prize in the “Transportation BIM Engineering Innovation Award” from the China Highway Society. These accolades highlight both his academic achievements and his contributions to engineering innovation. His participation in various international academic events and his role in large-scale national infrastructure projects further affirm his growing reputation in the field. The consistent recognition of his work through these awards underscores his capability to combine theoretical knowledge with practical engineering excellence. These honors are a testament to his talent, perseverance, and impact in advancing intelligent construction technologies and modern infrastructure development.

Conclusion

In conclusion, Qin Cheng emerges as a highly motivated and capable young researcher with a strong foundation in civil engineering and a clear commitment to technological innovation in infrastructure development. His integration of BIM, 3D laser scanning, and UAV systems into design and monitoring processes showcases his forward-thinking approach and alignment with the needs of smart and sustainable urban construction. With a solid academic background, international experience, and a growing body of research publications, he brings both technical expertise and practical insight to the field. Although he currently holds a master’s degree, his trajectory suggests significant potential for further academic advancement and research leadership. He has demonstrated the ability to bridge academic research with real-world engineering applications, making valuable contributions to both scholarly and professional communities. While increasing publication in top-tier journals and engaging in patent development could further enhance his profile, Qin Cheng has already laid a strong foundation for a successful research career. He is a suitable and deserving candidate for recognition in early-stage researcher or emerging researcher award categories and has the capacity to evolve into a leading expert in smart construction and digital civil engineering in the years ahead.

Publications Top Notes

  1. Title: Automatic Construction of 3D Building Property Rights Model Based on Visual Programming Language in China
    Authors: Qin, Guocheng; Hu, Yuqing; Wang, Ling; Liu, Ke; Hou, Yimei
    Journal: Advances in Civil Engineering
    Year: 2024

ILLYCH ALVAREZ | Engineering | Best Researcher Award

Posted on by Shen Awards

Dr. ILLYCH ALVAREZ | Engineering | Best Researcher Award

Investigator from Polytechnic School of the Coast, Ecuador

Illych Ramses Alvarez Alvarez is a distinguished professor and researcher specializing in applied mathematics, chaos theory, and artificial intelligence. With a dynamic career in academia, he has made significant contributions to both theoretical and applied aspects of mathematics, including dynamical systems, numerical analysis, and multiscale modeling. His work spans interdisciplinary domains such as biology, finance, and computational physics. Based in Guayaquil, Ecuador, he holds dual roles in research and education, demonstrating a strong commitment to innovation in mathematics pedagogy. Alvarez is recognized for his development of active learning models and his leadership in enhancing student engagement through modern instructional methodologies. He serves as a professor at the Escuela Superior Politecnica del Litoral (ESPOL) and has also held teaching roles at the Polytechnic University of Valencia in Spain. A regular participant in international conferences and academic forums, Alvarez has built a reputation for scholarly excellence and public academic engagement. He is also active as a reviewer and committee member for renowned scientific journals and conferences. His ability to connect advanced mathematical theory with real-world applications, alongside his contributions to academic leadership, underscores his qualifications as a leading figure in his field and a strong candidate for recognition through research awards.

Professional Profile

Education

Illych Ramses Alvarez holds a robust academic background rooted in mathematical sciences and pedagogy. He earned his Ph.D. in Mathematics from the Polytechnic University of Valencia in Spain, where he specialized in advanced topics such as complex variables, dynamical systems, and fuzzy mathematics. His doctoral research provided the foundation for his ongoing work in chaos theory and applied mathematical modeling. Prior to that, he completed a Master’s degree in Mathematical Sciences with a focus on Numerical Mathematics at the University of Havana, Cuba. This training equipped him with analytical and computational skills essential for numerical simulations and algorithmic problem-solving. In addition, Alvarez pursued a second Master’s degree in Mathematics Teaching at the Escuela Superior Politecnica del Litoral (ESPOL) in Ecuador, reflecting his strong interest in the pedagogical aspects of mathematical instruction. His academic journey began with a Bachelor’s degree in Education Sciences from Universidad Metropolitana del Ecuador, which provided him with a foundational understanding of teaching methodologies and curriculum development. This diverse and comprehensive educational trajectory has allowed Alvarez to bridge rigorous research with effective teaching, making him a valuable contributor to both the academic and educational development spheres in Ecuador and internationally.

Professional Experience

Illych Ramses Alvarez brings over two decades of teaching and research experience, spanning secondary and higher education. His early career included roles in secondary institutions such as Liceo Naval de Guayaquil, where he served as a mathematics teacher and later as Head of the Mathematics Area from 2002 to 2014. He also held the position of Academic Coordinator of the Exact and Experimental Sciences Area at Liceo Los Andes Educational Unit between 2004 and 2017. His leadership and innovative teaching approaches in these roles laid the groundwork for his transition to university-level education. Since 2016, Alvarez has served as a professor and researcher at ESPOL, where he teaches courses in linear algebra, differential equations, and calculus. He has also contributed to ESPOL’s pre-university program and designed the institution’s Active Learning Model for mathematics instruction. Notably, he served as Mathematics Coordinator for the remedial course program from 2020 to 2022. Between 2023 and 2025, he has taken on a visiting teaching role at the Polytechnic University of Valencia in Spain, where he teaches complex variables. Alvarez’s professional career reflects a balanced integration of instructional excellence, research productivity, and leadership in curriculum development.

Research Interests

Illych Ramses Alvarez’s research interests are centered on applied mathematics, chaos theory, artificial intelligence, and numerical methods. His primary focus lies in the study of dynamical systems, particularly set-valued dynamics, transitivity, and mixing phenomena. He investigates how these mathematical properties manifest in various applied contexts, including biological systems, financial models, and physical simulations. A significant portion of his research involves multiscale modeling and the application of finite element methods to solve complex mathematical problems with real-world relevance. In addition, Alvarez has an active interest in fuzzy dynamical systems, exploring uncertainty and recurrence within non-traditional mathematical frameworks. His interdisciplinary approach often merges computational tools with mathematical theory, enabling him to propose new models and predictive systems across domains. More recently, Alvarez has expanded his work into artificial intelligence, particularly in its integration with chaos theory and decision-making processes. His research is characterized by its originality and relevance, bridging theoretical foundations with practical application. Furthermore, his involvement in academic conferences, journal reviewing, and committee memberships reflects a deep engagement with current trends in mathematical research and education. These varied interests place him at the intersection of innovation, theory, and educational reform within the global mathematics research community.

Research Skills

Illych Ramses Alvarez possesses an impressive set of research skills that reflect his expertise in both theoretical and computational mathematics. He is adept in advanced mathematical modeling, particularly in chaos theory, dynamical systems, and fuzzy logic. His proficiency in numerical analysis allows him to solve complex problems using finite element methods, multiscale techniques, and set-valued mappings. Alvarez also has strong skills in developing algorithms for artificial intelligence applications, particularly in the simulation of dynamical behaviors and optimization problems. His analytical acumen is supported by hands-on experience with computational tools and programming languages used in mathematical research and simulation environments. In the educational sphere, Alvarez applies his research capabilities to innovate teaching methods through active learning strategies and blended-learning models. He has designed and implemented instructional modules that integrate research concepts into classroom activities, fostering a research-based learning environment. His editorial experience as a reviewer for high-impact journals and conferences further attests to his critical thinking and evaluative abilities. Alvarez’s research skills are complemented by his capacity to communicate complex ideas clearly and effectively, making him a versatile contributor to both collaborative and independent research initiatives.

Awards and Honors

While Illych Ramses Alvarez’s formal list of awards is still growing, he has received notable recognition in academic and professional circles. He was invited as a keynote speaker at the 1st Symposium on University-Society Engagement at the University of Guayaquil in 2024, where he presented on innovative strategies in mathematics teaching—an acknowledgment of his leadership in educational reform. His selection as a reviewer and scientific committee member for the LACCEI conferences in 2023, 2024, and 2025 reflects the esteem in which his peers hold his research and evaluative expertise. Notably, he has chaired multiple research tracks and contributed as a paper reviewer and technical committee member at various international conferences. In early 2025, he was formally certified by Biosensors and Bioelectronics (Elsevier) for conducting two rigorous scientific reviews, showcasing his credibility within the scientific publishing community. Although he has yet to receive major international research awards, these engagements and recognitions are strong indicators of his growing influence and recognition in the global research landscape. His academic trajectory suggests that further honors are likely as his publication profile and research collaborations continue to expand.

Conclusion

Illych Ramses Alvarez Alvarez represents an exemplary figure in the fields of applied mathematics, chaos theory, and education reform. His diverse academic background, combined with a strong commitment to research and teaching excellence, positions him as a valuable asset to the global academic community. Through years of experience in both secondary and higher education, he has demonstrated a unique ability to translate complex mathematical concepts into accessible learning strategies, fostering deeper understanding and engagement among students. His research portfolio reveals a deep curiosity and innovation, especially in areas like dynamical systems, fuzzy logic, and AI-integrated modeling. Alvarez’s involvement in international conferences, editorial responsibilities, and active curriculum development shows his dedication to advancing both the theory and practice of mathematics. While there is room for growth in terms of high-impact journal publications and larger-scale collaborations, his existing achievements and influence are substantial. His consistent contributions to research, combined with his passion for education, make him a strong candidate for recognition through awards that honor excellence in academic research. With continued focus and support, Alvarez is well-positioned to make lasting contributions to science and education on a global scale.

Publications Top Notes

  1. Title: Advanced Numerical Modeling and Simulation of Hydrogel‐Based Chemo Fluidic Oscillator for Enhanced Insulin Delivery System in Diabetes Treatment: A Comparative and Sensitivity Analysis
    Authors: Illych Alvarez, Esteban Pulley, Patrick Arévalo, Fernando Tenesaca, Ivy Peña Elaje
    Year: 2025

  2. Title: Recurrence in Collective Dynamics: From the Hyperspace to Fuzzy Dynamical Systems
    Authors: Illych Alvarez, Antoni López-Martínez, Alfred Peris
    Year: 2025

  3. Title: Advanced Extensions and Applications of Transitivity and Mixing in Set‐Valued Dynamics With Numerical Simulations and Visual Insights
    Authors: Illych Alvarez, Mehmet Ünver
    Year: 2025

  4. Title: Advanced Extensions and Applications of Transitivity and Mixing in Set-Valued Dynamics with Numerical Simulations and Visual Insights
    Authors: Álvarez, I.R.
    Year: 2024

  5. Title: Heat Transfer Problem Solving Techniques in Materials Engineering: A Numerical Approach and Practical Applications
    Authors: Alvarez, I.A., Barros, E.C., Vargas, A.L., Escobar, I.S.
    Year: 2024

  6. Title: Recurrence in Collective Dynamics: From the Hyperspace to Fuzzy Dynamical Systems (Preprint on arXiv)
    Authors: Álvarez, I., López-Martínez, A., Peris, A.
    Year: 2024

  7. Title: Advanced Numerical Analysis and Simulation of a Chemo-Fluidic Oscillator: Comparative Study of Numerical Methods and Robustness Evaluation
    Authors: Illych Alvarez
    Year: 2024

  8. Title: A New B-Learning Methodology for Teaching Differential Integral Calculus in a School of Engineering
    Authors: Álvarez, I., García, S., Baquerizo, G., Solís, J., Avilés, J.
    Year: 2023

  9. Title: Optimal Exponentially Weighted Moving Average of T² Chart
    Authors: García-Bustos, S., Naranjo, C., Álvarez, I., Ruiz-Barzola, O., Mera-Intriago, E.
    Year: 2023

  10. Title: A New Inverted Class Methodology Applied as a Pilot Program to Students Aspiring to Enter an Ecuadorian University
    Authors: Alvarez, I., Baquerizo, G., Noboa, D., García-Bustos, S., Mera, E.M.
    Year: 2020






	


	

	






	
	

		


Phani Monogya Katikireddi | Engineering | Best Innovator Award
			

				Posted on  by Shen Awards			

		
	


	

		
Mr. Phani Monogya Katikireddi | Engineering | Best Innovator Award


Cloud AI/ML Devops Engineer from USDA, United States










Phani Monogya Katikireddi is a highly accomplished IT professional with over 9.5 years of experience in Cloud AI/ML, DevOps Engineering, Full Stack Development, and Software Engineering. He specializes in integrating AI/ML technologies with scalable cloud infrastructure to develop innovative solutions that enhance business operations. His expertise spans automating workflows, designing robust CI/CD pipelines, and optimizing development lifecycles. In addition to his technical contributions, he has made significant research advancements, publishing multiple papers on AI/ML and DevOps, authoring a book on AI/ML, and securing two patents for innovative solutions. As a recognized thought leader, he serves on the editorial boards of esteemed journals, contributing to the evolution of AI/ML research. His ability to bridge the gap between research and real-world applications positions him as a leading innovator in the field.


Professional Profile



Education


Phani Monogya Katikireddi holds a strong academic background in computer science and engineering. His education has provided him with a solid foundation in AI/ML, cloud computing, and software development. Through continuous learning and advanced coursework, he has honed his expertise in machine learning, neural networks, and DevOps methodologies. His academic journey has been instrumental in shaping his innovative approach to integrating AI/ML with DevOps.


Professional Experience


With nearly a decade of experience, Phani has worked in various roles, including Cloud AI/ML DevOps Engineer and Full Stack Developer. His work has focused on designing AI-driven solutions, automating software delivery processes, and enhancing system reliability. His contributions to cloud-native architectures and intelligent automation have improved the efficiency and scalability of enterprise applications. His technical leadership and problem-solving skills have played a pivotal role in driving innovation in the IT industry.


Research Interest


Phani’s research interests lie in AI/ML, deep learning, DevOps automation, and cloud computing. He is particularly focused on integrating AI with DevOps to enhance software development and deployment processes. His work explores predictive modeling, machine learning pipeline automation, and the impact of AI on system performance and scalability. His research aims to bridge the gap between theoretical advancements and real-world applications in enterprise IT.


Research Skills


Phani possesses strong research skills, including AI/ML algorithm development, neural network optimization, cloud infrastructure management, and DevOps automation. He is adept at conducting experimental research, data analysis, and model validation. His ability to translate research findings into practical solutions has contributed to advancements in AI-driven automation. He also has experience in publishing research papers and collaborating with industry experts to push the boundaries of AI/ML and DevOps.


Awards and Honors


Phani has received notable recognition for his contributions to AI/ML and DevOps. He holds two patents for AI/ML innovations and has authored a well-regarded book on the subject. His research papers have been published in prestigious journals, and he actively participates as an editorial board member. His expertise and contributions to the field have positioned him as a distinguished professional and innovator.


Conclusion


Phani Monogya Katikireddi is a visionary IT professional with a passion for innovation in AI/ML and DevOps. His extensive experience, research contributions, and technical expertise make him a strong candidate for recognition as a leading innovator in the field. His ability to merge academic research with practical applications has had a profound impact on software development and cloud computing. His dedication to advancing AI/ML and DevOps positions him as a key contributor to technological progress and industry transformation.


Publications Top Notes










    

  1. 

    Revolutionizing DEVOPS with Quantum Computing: Accelerating CI/CD pipelines through Advanced Computational Techniques
    

      

    • 

      Authors: PM Katikireddi, P Singirikonda, Y Vasa
      

      • 

    • 

      Year: 2021
      

      • 

    

    2. 

  2. 

    Music and Art Generation Using Generative AI
    

      

    • 

      Authors: S Jaini, PM Katikireddi
      

      • 

    • 

      Year: 2022
      

      • 

    

    3. 

  3. 

    Applications of Generative AI in Healthcare
    

      

    • 

      Authors: S Jaini, PM Katikireddi
      

      • 

    • 

      Year: 2022
      

      • 

    

    4. 

  4. 

    In Generative AI: Zero-Shot and Few-Shot
    

      

    • 

      Authors: PM Katikireddi, S Jaini
      

      • 

    • 

      Year: 2022
      

      • 

    

    5. 



 



























	


	

	






	
	

		


Yang Xiang | Structural Engineering | Best Researcher Award
			

				Posted on  by Shen Awards			

		
	


	

		








Assoc. Prof. Dr. Yang Xiang | Structural Engineering | Best Researcher Award


Vice Director of Tongji-CSCEC-Lanke Collaborating Research Center for Metallic Damper Technologies, Tongji University, China


















Dr. Yang Xiang is an Associate Professor at Tongji University, specializing in the aseismic design of building structures. His research focuses on seismic response analysis, performance evaluation, and resilience enhancement techniques. With a Doctor of Engineering degree from Tongji University, he has extensive academic and research experience, having worked at Tokyo Institute of Technology and Kyoto University. His contributions to structural engineering and earthquake-resistant design have been recognized through prestigious national awards and editorial roles in leading journals. Dr. Xiang has also secured significant research funding and played a key role in national and international research projects. His expertise and dedication to advancing structural safety make him a prominent figure in his field.


Professional Profile



Education


Dr. Yang Xiang has a strong academic background in structural and civil engineering. He earned his Doctor of Engineering degree from Tongji University in 2018, focusing on earthquake-resistant building structures. Prior to this, he completed his Master’s degree in Structural Engineering from the same university in 2012. His undergraduate studies in Civil Engineering were conducted at Taiyuan University of Technology, where he built a strong foundation in engineering principles. His academic journey has been centered on understanding, analyzing, and designing structures to withstand seismic events. Through his studies at top engineering institutions, Dr. Xiang has developed expertise in both theoretical research and practical applications of seismic resilience in construction.


Professional Experience


Dr. Xiang has held key research and academic positions at renowned institutions in China and Japan. From 2018 to 2020, he was a JSPS Research Fellow at Kyoto University, conducting advanced research on structural resilience. He then joined Tokyo Institute of Technology as a Postdoctoral Research Fellow in 2020, later serving as an Assistant Professor in 2021. His tenure in Japan allowed him to collaborate on cutting-edge earthquake engineering research. In 2021, he returned to Tongji University as an Associate Professor, where he continues to advance his research in seismic safety and building performance evaluation. His international academic experience has enhanced his research vision and contributed to significant developments in the field.


Research Interests


Dr. Xiang’s research focuses on aseismic building structures, particularly in response analysis, performance-based design, and structural resilience. He is dedicated to improving seismic safety through innovative design methods that enhance building performance and earthquake resistance. His studies integrate computational simulations, experimental validation, and engineering applications to develop more efficient and robust structural solutions. His research contributes to mitigating earthquake damage and enhancing the durability of buildings in seismic-prone regions. Through interdisciplinary approaches, he aims to bridge the gap between theoretical models and practical construction techniques, ensuring safer and more sustainable urban infrastructures.


Research Skills


Dr. Xiang possesses advanced research skills in structural engineering and seismic analysis. He is proficient in numerical modeling, experimental testing, and performance evaluation of earthquake-resistant buildings. His expertise includes finite element analysis (FEA), structural dynamics, and resilience assessment techniques. He is skilled in using engineering software for structural simulation and seismic analysis, contributing to the development of innovative design strategies. His ability to secure research funding and lead collaborative projects highlights his strong project management and leadership skills. Additionally, his experience in academic publishing and editorial work further strengthens his research capabilities.


Awards and Honors


Dr. Xiang has received multiple prestigious awards recognizing his contributions to structural engineering research. He was awarded the First Prize in Science and Technology by the China Steel Construction Society in 2024, demonstrating his impact in the field. He also received the Special Prize for Science and Technology from the same organization in 2022. Additionally, he was honored with the Second Prize for Research from the Shanghai J.Z. Huang Education Development Foundation in 2023. These accolades reflect his significant contributions to earthquake-resistant building design and structural performance evaluation, establishing him as a leading researcher in his domain.


Conclusion


Dr. Yang Xiang is a distinguished researcher in structural and earthquake engineering, with a strong academic background, international research experience, and significant contributions to seismic safety. His work in performance evaluation and resilience improvement has earned him prestigious awards, major research funding, and recognition from leading academic institutions. With expertise in numerical modeling, experimental testing, and advanced engineering analysis, he continues to push the boundaries of earthquake-resistant design. His editorial roles, research leadership, and commitment to enhancing structural safety position him as a highly qualified candidate for the Best Researcher Award.


Publications Top Notes


    

  1. 

    Title: Amplitude-dependent modal viscous damping for distributed stick–slip systems
    

      

    • Authors: C. He, Chong; F. Sun, Feifei; G. Li, Guoqiang; Y. Xiang, Yang
      • 

    • Year: 2024
      • 

    

    2. 

  2. 

    Title: Quantification of floor seismic response: Formulated PFA for non-classically damped structure and empirical PFV for elasto-plastic structure
    

      

    • Authors: S. Guo, Shili; Y. Xiang, Yang; L. Dai, Liusi; G. Li, Guoqiang
      • 

    • Year: 2024
      • 

    

    3. 

  3. 

    Title: Strain amplitude-dependent hardening property of Q235 steel for metallic dampers
    

      

    • Authors: Y. Zhong, Yunlong; G. Li, Guoqiang; Y. Xiang, Yang
      • 

    • Year: 2024
      • 

    • Citations: 2
      • 

    

    4. 

  4. 

    Title: Multi-objective seismic optimization and evaluation of core-damper-frame tall buildings considering SSI effect
    

      

    • Authors: M. Wang, Meng; Y. Xiang, Yang; F. Sun, Feifei; G. Li, Guoqiang
      • 

    • Year: 2024
      • 

    • Citations: 3
      • 

    

    5. 

  5. 

    Title: Seismic performance assessment of GFRP-steel double-skin confined rubber concrete composite columns
    

      

    • Authors: J. Yan, Jianhuang; J. Wu, Junchao; Y. Xiang, Yang; X. Han, Xue; H. Li, Haifeng
      • 

    • Year: 2024
      • 

    • Citations: 4
      • 

    

    6. 



 











	


	

	






	
	

		


Geetha | Engineering | Women Researcher Award
			

				Posted on  by Shen Awards			

		
	


	

		
Dr. Geetha | Engineering | Women Researcher Award


Saveetha school of engineering, India






























She has worked on various significant projects throughout her academic and professional journey. For her Ph.D. in Power Electronics, she focused on “Investigations on Energy Storage Element Resonant DC to DC Converter.” For her M.E. in Applied Electronics, her project involved the “Design, Simulation, and Synthesis of a High-Performance FFT Processor based on FPGA,” with the objective of designing a real-time FFT processor and simulating and synthesizing it using Xilinx 9.1i and Modelsim for core generation and verification. In her B.E. in Electrical and Electronics Engineering, her project was centered on “Modeling and Simulation of D.C. Motor,” where she aimed to create a dynamic model for a D.C. motor using SIMULINK. She is an active member of several professional bodies, including the ISTE (Life Member), IAENG, IACSIT, and IRED. Additionally, she serves as a research guide, currently mentoring a candidate in the field of Lithium-ion battery cathode chemistry, life cycle, and recycling.


Professional Profile



Education


She completed her Ph.D. in Power Electronics from Bharath University, Chennai, in March 2020, with a CGPA of 8/10, through a part-time mode. She earned her M.E. in Applied Electronics from C. Abdul Hakeem College of Engineering & Technology, affiliated with Anna University, in 2008, graduating with 81% and First Class with Distinction in a full-time program. Prior to that, she obtained her B.E. in Electrical and Electronics Engineering from Vellore Engineering College, affiliated with Madras University, in 2000, with a First Class and 68%. She also completed her Diploma in Electrical and Electronics Engineering (DEEE) from IRT Polytechnic, Bargur, in 1997, with 76.8% and First Class with Distinction. Her academic journey began at Auxilium Girls Higher Secondary School, where she completed her SSLC in 1994 with 79%.


Professional Experience










She is currently working as an Assistant Professor (SG) in the Institute of Electrical and Electronics Engineering and the Department of Cloud Computing at Saveetha School of Engineering, Chennai, since March 26, 2021. Prior to this, she served as an Associate Professor in the Department of Electrical and Electronics Engineering at Ganadipathys Tulsi Engineering College, Vellore, from June 1, 2009, to May 18, 2017. She began her teaching career as a Lecturer at C. Abdul Hakeem College of Engineering & Technology, Melvisharam, from July 2, 2007, to May 15, 2009. She also worked as a Lecturer in the Department of Electrical and Electronics Engineering at Periyar Maniammai College of Technology for Women, Thanjavur, from December 4, 2003, to July 31, 2006, and as a Lecturer in the Department of Electronics and Communication Engineering at GGR College of Engineering, Vellore, from July 1, 2002, to December 2, 2003. Additionally, she worked as a Lecturer in the Department of Electrical and Electronics Engineering at Adhiparasakthi Engineering College, Melmaruvathur, from May 28, 2001, to March 20, 2002.










Research Interests










Her areas of interest include Control Systems, Electrical Machines, Transmission and Distribution, VLSI Signal Processing, Advanced Digital Signal Processing, and Digital Electronics. She is passionate about exploring these fields and continuously advancing her knowledge and expertise in these areas










Publication Top Notes


    

  • Persistent organic pollutants in water resources: Fate, occurrence, characterization and risk analysis

      

    • Authors: T Krithiga, S Sathish, AA Renita, D Prabu, S Lokesh, R Geetha, …
      • 

    • Year: 2022
      • 

    • Citations: 154
      • 

    

    • 

  • Current status of microbes involved in the degradation of pharmaceutical and personal care products (PPCPs) pollutants in the aquatic ecosystem

      

    • Authors: M Narayanan, M El-Sheekh, Y Ma, A Pugazhendhi, D Natarajan, …
      • 

    • Year: 2022
      • 

    • Citations: 99
      • 

    

    • 

  • A novel design of smart and intelligent soldier supportive wireless robot for military operations

      

    • Authors: C Gnanaprakasam, M Swarna, R Geetha, G Saranya, SM KH
      • 

    • Year: 2023
      • 

    • Citations: 5
      • 

    

    • 

  • CVS-FLN: a novel IoT-IDS model based on metaheuristic feature selection and neural network classification model

      

    • Authors: R Geetha, A Jegatheesan, RK Dhanaraj, K Vijayalakshmi, A Nayyar, …
      • 

    • Year: 2024
      • 

    • Citations: 3
      • 

    

    • 

  • A Comparative Analysis on the Conventional Methods, Benefits of Recycling the Spent Lithium-ion Batteries with a Special focus on Ultrasonic Delamination

      

    • Authors: PK Persis, R Geetha
      • 

    • Year: 2023
      • 

    • Citations: 3
      • 

    

    • 

  • Enhanced Criminal Identification through MTCNN: Leveraging Advanced Facial Recognition Technology

      

    • Authors: R Gowthamani, D Gayathri, R Geetha, S Harish, M Rohini
      • 

    • Year: 2024
      • 

    • Citations: 1
      • 

    

    • 

  • A Legal Prediction Model Using Support Vector Machine and K-Means Clustering Algorithm for Predicting Judgements and Making Decisions

      

    • Authors: AJM Rani, KS Bharathwaj, NMJ Swaroopan, KH Kumar, R Geetha
      • 

    • Year: 2023
      • 

    • Citations: 1
      • 

    

    • 

  • Efficient Energy Management in Photovoltaic System Using Grid Interconnected Solar System Compared with Battery Energy Storage System by Limiting the Panel Array Losses

      

    • Authors: BR Subashini, R Geetha
      • 

    • Year: 2023
      • 

    • Citations: 1
      • 

    

    • 

  • Increasing the Power in Photovoltaic Systems using a Floating PV System compared with a Rooftop PV System by Limiting the Temperature Loss

      

    • Authors: MJ Angelin, R Geetha
      • 

    • Year: 2023
      • 

    • Citations: 1
      • 

    

    • 

  • A Robust Blockchain Assisted Electronic Voting Mechanism with Enhanced Cyber Norms and Precautions

      

    • Authors: NV Krishnamoorthy, SM KH, C Gnanaprakasam, M Swarna, R Geetha
      • 

    • Year: 2023
      • 

    • Citations: 1
      • 

    

    • 



 





























	


	

	






	
	

		


Ritwik Maiti | Mechanical Engineering | Best Researcher Award
			

				Posted on  by Shen Awards			

		
	


	

		
Dr. Ritwik Maiti | Mechanical Engineering | Best Researcher Award


Dr. Ritwik Maiti is an accomplished researcher and Assistant Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, India. With a focus on fluid dynamics and granular flow, he has built a robust academic and research profile over the years. Dr. Maiti has conducted significant research at renowned institutions such as the National University of Singapore and the University of Sheffield. His work emphasizes experimental fluid dynamics, fluid-structure interactions, and the behavior of granular materials under various conditions. A prolific contributor to scientific literature, Dr. Maiti has published numerous articles in high-impact international journals and presented at various prestigious conferences. His expertise and innovative approaches to complex engineering challenges position him as a leading figure in his field, contributing to advancements in both theoretical and applied research.


Professional Profile



Education


Dr. Ritwik Maiti earned his Ph.D. from the Indian Institute of Technology Kharagpur, where his thesis focused on dense granular flow through silos, channels, and other mediums. His educational journey began with a Bachelor of Technology in Mechanical Engineering from Kalyani Government Engineering College, followed by a Master of Engineering degree in Heat Power Engineering from Jadavpur University, Kolkata. These foundational degrees equipped him with a comprehensive understanding of mechanical engineering principles and the necessary analytical skills to tackle complex research problems. His academic training has been instrumental in shaping his research interests and methodologies, allowing him to contribute effectively to the fields of fluid dynamics and granular flow mechanics.


Professional Experience


Dr. Maiti’s professional journey encompasses significant roles that reflect his expertise in fluid mechanics and geotechnical engineering. He served as a Research Fellow in the Fluid Mechanics Research Group at the National University of Singapore, where he engaged in groundbreaking projects such as wind-tree interaction and minimizing segregation in granular mixtures. Following this, he was a Research Associate at the University of Sheffield’s Geotechnical Engineering Research Group, focusing on modeling flow through porous granular media. His current role as an Assistant Professor at the Birla Institute of Technology involves teaching and mentoring students while continuing to advance his research in fluid dynamics and granular flow. Dr. Maiti’s diverse professional experience enhances his teaching and research capabilities, making him a valuable asset to his institution and the broader academic community.


Research Interests


Dr. Ritwik Maiti’s research interests encompass a broad range of topics within fluid mechanics and granular flow. His primary areas of focus include experimental fluid dynamics, geophysical flows, granular avalanche dynamics, and fluid-structure interaction. He is particularly interested in understanding granular mixing and segregation, impact craters, and underground cavity collapse. Dr. Maiti employs advanced methodologies such as the Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD), often integrating these approaches to explore multiphase flows and complex flow phenomena. His research aims to deepen the understanding of how granular materials behave under various conditions, which has important implications for industries ranging from civil engineering to environmental science. By addressing these complex challenges, Dr. Maiti contributes significantly to the advancement of knowledge in his field.


Research Skills


Dr. Ritwik Maiti possesses a diverse set of research skills that enhance his capabilities as a researcher and educator. His technical expertise includes the design and development of experimental facilities for fluid flow studies, high-speed photography, and image processing. He is proficient in employing Discrete Element Method (DEM) simulations and Computational Fluid Dynamics (CFD) to model and analyze complex fluid behaviors. His familiarity with advanced software tools such as MATLAB, AutoCAD, and LIGGGHTS further supports his research endeavors. Additionally, Dr. Maiti has extensive experience handling specialized equipment like high-speed cameras, data acquisition systems, and particle image velocimetry, which are essential for conducting high-quality experimental research. These skills enable him to conduct innovative research and mentor students effectively in their academic pursuits.


Awards and Honors


Dr. Ritwik Maiti has received recognition for his contributions to research and academia. His work has been published in numerous high-impact journals, underscoring his commitment to advancing knowledge in fluid mechanics and granular flow. He has also been actively involved in international conferences, presenting his research findings and engaging with the global scientific community. His contributions have not only enriched his institution but have also contributed to the broader field of mechanical engineering. While specific awards may vary, Dr. Maiti’s consistent publication record and active participation in conferences reflect his dedication to excellence in research. These achievements position him as a respected figure in his field, with the potential for further accolades as his career progresses.


Conclusion


Dr. Ritwik Maiti is a highly qualified candidate for the Best Researcher Award, with a strong foundation in research and numerous contributions to the field of mechanical engineering. His strengths in research experience, academic credentials, and technical expertise position him as a valuable asset to the scientific community. By addressing the areas for improvement, particularly in funding acquisition and community engagement, Dr. Maiti can further enhance his research impact. His commitment to advancing knowledge in fluid mechanics and granular flow makes him an excellent choice for this award.


Publications Top Notes


    

  • Experiments on eccentric granular discharge from a quasi-two-dimensional silo
    
Authors: R. Maiti, G. Das, P.K. Das
    
Year: 2016
    
Citations: 35
    • 

  • Granular drainage from a quasi-2D rectangular silo through two orifices symmetrically and asymmetrically placed at the bottom
    
Authors: R. Maiti, G. Das, P.K. Das
    
Year: 2017
    
Citations: 25
    • 

  • Flow field during eccentric discharge from quasi‐two‐dimensional silos–extension of the kinematic model with validation
    
Authors: R. Maiti, S. Meena, P.K. Das, G. Das
    
Year: 2016
    
Citations: 19
    • 

  • Cracking of tar by steam reforming and hydrogenation: an equilibrium model development
    
Authors: R. Maiti, S. Ghosh, S. De
    
Year: 2013
    
Citations: 6
    • 

  • Self organization of granular flow by basal friction variation: Natural jump, moving bore, and flying avalanche
    
Authors: R. Maiti, G. Das, P.K. Das
    
Year: 2023
    
Citations: 2
    • 

  • Discrete element model of low-velocity projectile penetration and impact crater on granular bed
    
Authors: R. Maiti, A.K. Roy
    
Year: 2024
    
Citations: N/A
    • 

  • DEM Simulation of Projectile Impact on a Granular Bed
    
Authors: R. Maiti, S. Chakraborty
    
Year: 2023
    
Citations: N/A
    • 

  • General Feasibility of Physical Models of Tree Branches
    
Authors: D.S. Tan, R. Maiti, Y.W. Tan, B.Z.J. Wong, Y. Liew, J.H. Tan, D.T.T. Lee, …
    
Year: 2022
    
Citations: N/A
    • 

  • Effect of particle insertion rate and angle of insertion on segregation in gravity-driven chute flow
    
Authors: R. Maiti, D.S. Tan
    
Year: 2020
    
Citations: N/A
    • 

  • Minimization of granular segregation by volumetric particle addition during gravity driven chute flow at different inclinations and different base roughnesses
    
Authors: R. Maiti, D.S. Tan
    
Year: 2019
    
Citations: N/A
    • 


	


	

	






	
	

		


Rabia Toprak | Engineering | Best Researcher Award
			

				Posted on  by Shen Awards			

		
	


	

		
Assist. Prof. Dr. Rabia Toprak | Engineering | Best Researcher Award


Electrical-Electronics Engineering,  Karamanoglu Mehmetbey University,  Turkey










Rabia Toprak, an Assistant Professor at Karamanoglu Mehmetbey University, holds a Ph.D. in Electrical-Electronics Engineering from Konya Technical University, where her thesis focused on the detection of cancerous tissues using advanced antenna structures. With extensive research experience, she has participated in multiple national projects, including the development of high-gain microstrip antennas for medical applications and investigations into natural fiber-reinforced composites. Toprak has published numerous articles in international refereed journals, contributing to advancements in antenna design for cancer detection and electromagnetic field studies. Her teaching contributions span both undergraduate and graduate courses, where she emphasizes the principles of electromagnetics. Rabia Toprak’s dedication to innovative research and her significant impact on the fields of telecommunications and biomedical engineering make her a highly suitable candidate for the Research for Best Researcher Award, recognizing her contributions to academia and her commitment to improving health outcomes through technology.


Profile



Professional Experience


Rabia Toprak has built a solid academic career in the field of electrical-electronic engineering, specializing in telecommunications. She currently holds the position of Assistant Professor at Karamanoglu Mehmetbey University, having previously served as a research assistant in the same department from 2013 to 2023. Her long-standing affiliation with the academic community highlights her commitment to both teaching and research. Toprak’s experience includes leadership roles in various scientific projects, particularly those focusing on antenna designs for medical applications, further showcasing her expertise in applied electromagnetics.


Research Interests










Rabia Toprak’s research interests lie at the intersection of electrical engineering and biomedical applications, particularly in the design and implementation of microstrip antennas for medical diagnostics. Her doctoral work focused on the detection of cancerous tissues using high-gain microstrip and horn antenna structures, showcasing her commitment to advancing healthcare technologies. Toprak has contributed to various projects investigating the electrical properties of pathological tissues and has designed microstrip antennas for detecting cardiovascular conditions. Additionally, her work includes the development of natural fiber-reinforced epoxy/polymer-based hybrid composites for antenna applications, reflecting her interest in sustainable materials. With numerous publications in reputable journals, Toprak continues to explore innovative solutions for improving diagnostic methods in medicine, making significant contributions to both engineering and healthcare fields. Her ongoing projects include research on the effects of antenna designs on breast and colon tissue samples, further establishing her expertise in medical engineering.


Research Skills










Rabia Toprak has demonstrated exceptional research skills throughout her academic and professional career. As an Assistant Professor in the Department of Electrical-Electronic Engineering at Karamanoğlu Mehmetbey University, she has actively engaged in numerous research projects focused on innovative applications of microstrip antennas for medical diagnostics. Her expertise encompasses the design and implementation of antennas for detecting cancerous tissues and cardiovascular conditions, showcasing her proficiency in both theoretical and practical aspects of electromagnetic engineering. Toprak’s research is underpinned by her ability to conduct comprehensive literature reviews, design experimental setups, and analyze complex data. She has published multiple articles in esteemed international journals, reflecting her commitment to advancing knowledge in her field. Additionally, her involvement in collaborative research projects, such as the detection of cancer tissues and the design of hybrid composite substrates, highlights her strong teamwork and project management capabilities. Overall, Rabia Toprak’s research skills position her as a leading figure in her area of expertise.


Awards and Honors










Rabia Toprak, Assistant Professor at Karamanoglu Mehmetbey University, has garnered notable recognition for her innovative research in the field of electrical and electronic engineering. Her pivotal contributions include significant advancements in microstrip antenna technology, particularly in applications related to cancer detection and cardiovascular monitoring. In 2022, she received a prestigious grant from Higher Education Institutions for her project on the detection of cancerous tissues, highlighting her leadership in national research initiatives. Additionally, her work has been featured in several high-impact international journals, showcasing her commitment to advancing scientific knowledge. Toprak’s presentations at various international conferences have further solidified her reputation as a leading researcher in her field. Her dedication to education is evident in her teaching roles, where she inspires the next generation of engineers. These accolades reflect her exceptional contributions to both academia and the scientific community, establishing her as a prominent figure in engineering research.


Conclusion 










Rabia Toprak is a strong candidate for the Research for Best Researcher Award due to her significant contributions to the field of electrical and electronic engineering, particularly in medical applications. With a doctoral thesis focusing on the detection of cancerous tissues using advanced microstrip and horn antenna structures, she has demonstrated a commitment to innovative research with practical implications. Her role in various national scientific projects, such as the investigation of electrical properties of pathological tissues and the development of natural fiber-reinforced hybrid composites, underscores her multidisciplinary approach and collaboration within the scientific community. Furthermore, her numerous publications in reputable international journals highlight her ongoing dedication to advancing knowledge in her field. Rabia’s expertise, research impact, and teaching contributions at Karamanoglu Mehmetbey University reflect her commitment to excellence and innovation in research, making her an ideal candidate for this prestigious award.


Publication Top Notes


    

  • An approach to determine pathological breast tissue samples with free-space measurement method at 24 GHz

      

    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Ahmet Kayabasi, Zeliha Esin Celik, Fatma Hicret Tekin, Dilek Uzer
      • 

    • Year: 2024
      • 

    • Citations: 0 (as it is a recent publication)
      • 

    

    • 

  • Comparison of Far Field and Near Field Values of Skin Tissue Measured Using Microstrip Antenna Structure

      

    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
      • 

    • Year: 2022
      • 

    • Citations: 1
      • 

    

    • 

  • Investigation of Gain Enhancement in Microstrip Antenna Structure in Pathological Tissue Samples

      

    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
      • 

    • Year: 2021
      • 

    • Citations: 2
      • 

    

    • 

  • Patolojik Doku Örneklerinde Mikroşerit Anten Yapısında S-Parametrelerine Ait Normalizasyon Değerlerinin İncelenmesi

      

    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
      • 

    • Year: 2021
      • 

    • Citations: 0 (as it is a recent publication)
      • 

    

    • 

  • Determination of Cardiovascular Occlusion with Microstrip Antennas

      

    • Authors: H. Uyanik, D. Uzer, Rabia Toprak, Seyfettin Sinan Gultekin
      • 

    • Year: 2020
      • 

    • Citations: 3
      • 

    

    • 

  • Kanser Hastalığı Tespitine Yönelik ISM Bandında Çalışan Mikroşerit Yama Yapılı İki Antenin Elektromanyetik Alan ve Saçılma Parametreleri Verilerinin Değerlendirilmesi ve Kıyaslanması

      

    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
      • 

    • Year: 2020
      • 

    • Citations: 0 (as it is a recent publication)
      • 

    

    • 

  • Microstrip antenna design with circular patch for skin cancer detection

      

    • Authors: Rabia Toprak, Y. Ünlü, Seyfettin Sinan Gultekin, Dilek Uzer
      • 

    • Year: 2019
      • 

    • Citations: 5
      • 

    

    • 

  • Modeling congestion of vessel on rectangular microstrip antenna and evaluating electromagnetic signals

      

    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
      • 

    • Year: 2017
      • 

    • Citations: 0 (as it is a recent publication)
      • 

    

    • 

  • A Microstrip Patch Antenna Design for Breast Cancer Detection

      

    • Authors: Rabia Caliskan, Seyfettin Sinan Gultekin, Dilek Uzer, Ozgur Dundar
      • 

    • Year: 2015
      • 

    • Citations: 7
      • 

    

    • 










































	


	

	






	
	

		


Miqin Zhang |  Engineering | Best Researcher Award
			

				Posted on  by Shen Awards			

		
	


	

		
Prof. Miqin Zhang | Engineering | Best Researcher Award


Dept of materials science and engineering, UNIVERSITY OF WASHINGTON,  United States


Miqin Zhang is a distinguished candidate for the Best Researcher Award, holding the Kyocera Chair Professorship in Materials Science and Engineering at the University of Washington and serving as a professor in various medical departments. His academic journey includes a Ph.D. from UC Berkeley, laying a solid foundation in materials science and biomedical engineering. Zhang’s research focuses on nanoscience and its applications in cancer therapy, tissue engineering, and biosensing, resulting in over 200 publications and more than 43,000 citations. His innovative work, especially in biodegradable hydrogels and targeted drug delivery systems, has significantly advanced therapeutic strategies. Recognition as a Highly Cited Researcher and fellowships from esteemed organizations highlight his influence in the field. Miqin Zhang’s multidisciplinary expertise and substantial contributions to science make him a deserving recipient of the Best Researcher Award, inspiring future researchers to strive for excellence and innovation in their work.


 


Profile:



Education


Miqin Zhang has an impressive educational background that lays the foundation for his distinguished career in materials science and engineering. He earned his Ph.D. in Materials Science and Engineering with a minor in Biomedical Engineering from the University of California, Berkeley, in 1999. Prior to this, he completed his Master of Science in Mechanical Engineering at the University of Victoria in Canada in 1993. His academic journey began at Jiangxi University of Science and Technology in China, where he obtained his Bachelor of Science in Metallurgical and Chemical Engineering in 1983. This rigorous training, coupled with research experience as a graduate assistant, equipped Zhang with a robust understanding of materials science principles and their applications in biomedical contexts. His extensive educational background not only demonstrates his commitment to academic excellence but also provides the expertise necessary for his impactful research in nanotechnology and regenerative medicine.


 


Professional Experiences 


Miqin Zhang has an extensive professional background in the field of materials science and engineering, currently serving as a Professor in the Department of Materials Science & Engineering at the University of Washington since 1999. His academic journey includes roles as an Associate Professor and Assistant Professor within the same department, highlighting a progressive career dedicated to research and education. Prior to his tenure at the University of Washington, Zhang gained valuable experience as a Graduate Research Assistant at both the University of California, Berkeley, and the University of Victoria, Canada. His early career began in China, where he worked as a Research Assistant and Associate at the Zhejiang Research Institute of Metallurgy, contributing to significant advancements in metallurgical research. This diverse and rich professional experience underscores his expertise in materials science and engineering, positioning him as a prominent figure in interdisciplinary research and collaboration.


 


Research skills 


Miqin Zhang exhibits exceptional research skills in the fields of nanoscience, biomaterials, and tissue engineering. His expertise encompasses the development of innovative nanomaterials for targeted drug delivery, particularly in cancer therapy, showcasing his proficiency in integrating engineering principles with biomedical applications. Zhang’s analytical skills are evident in his ability to conduct complex experimental designs, including the use of biodegradable hydrogels for stem cell delivery and tissue regeneration. His extensive publication record, which includes over 200 peer-reviewed articles with high citation rates, demonstrates not only his capacity for impactful research but also his commitment to advancing scientific knowledge. Furthermore, his leadership roles in collaborative projects, coupled with his engagement in interdisciplinary research, reflect his adeptness at fostering teamwork and driving innovation within diverse research environments.


 


Award And Recoginition 










Miqin Zhang is a distinguished candidate for the Best Researcher Award, holding the Kyocera Chair Professorship in the Department of Materials Science and Engineering at the University of Washington. His academic journey includes a Ph.D. in Materials Science and Engineering, complemented by extensive research experience in nanotechnology and its applications in cancer therapy, tissue engineering, and biosensing. With over 200 peer-reviewed publications and more than 43,000 citations, his work significantly impacts the scientific community. Zhang has received numerous accolades, including fellowships in prestigious organizations like The Royal Society of Chemistry and recognition as a Highly Cited Researcher. His innovative research, particularly in developing biodegradable hydrogels and nanomaterials, has revolutionized therapeutic approaches. By awarding him this honor, we not only recognize his exceptional contributions but also inspire future generations to pursue excellence in research and innovation within the fields of materials science and biomedical engineering.






 


Conclusion










 Miqin Zhang exemplifies the ideal candidate for the Best Researcher Award due to his exceptional contributions to the fields of materials science and engineering, particularly in nanotechnology and biomedical applications. His extensive academic and professional background, highlighted by his current positions at the University of Washington, reflects his commitment to interdisciplinary research and innovation. With over 200 peer-reviewed publications and more than 43,000 citations, Zhang’s work has significantly advanced therapeutic strategies for cancer treatment and tissue engineering. His numerous accolades, including fellowships and recognition as a Highly Cited Researcher, further underscore his influence and leadership in the scientific community. Awarding Zhang this recognition would honor his remarkable achievements and inspire future researchers to pursue excellence and innovation, ultimately contributing to the advancement of science and improved health outcomes. His dedication and impact make him a deserving recipient of this prestigious award.


























 Publication Top Notes


    

  • Green synthesis of iron-doped graphene quantum dots: an efficient nanozyme for glucose sensing
    
Authors: Xinqi Li, Guanyou Lin, Lijun Zhou, Octavia Prosser, Mohammad H. Malakooti, Miqin Zhang
    
Year: 2024
    
Citation: DOI: 10.1039/D4NH00024B
    • 

  • Injectable Biodegradable Chitosan–PEG/PEG–Dialdehyde Hydrogel for Stem Cell Delivery and Cartilage Regeneration
    
Authors: Xiaojie Lin, Ruofan Liu, Jacob Beitzel, Yang Zhou, Chloe Lagadon, Miqin Zhang
    
Year: 2024
    
Citation: DOI: 10.3390/gels10080508
    • 

  • Human Neural Stem Cell Expansion in Natural Polymer Scaffolds Under Chemically Defined Condition
    
Authors: Fei‐Chien Chang, Matthew Michael James, Yang Zhou, Yoshiki Ando, Hadi M. Zareie, Jihui Yang, Miqin Zhang
    
Year: 2024
    
Citation: DOI: 10.1002/adbi.202400224
    • 

  • A Chitosan Scaffold Supports the Enhanced and Prolonged Differentiation of HiPSCs into Nucleus Pulposus-like Cells
    
Authors: Yuanzhang Tang, Yang Zhou, Miqin Zhang
    
Year: 2024
    
Citation: DOI: 10.1021/acsami.4c06013
    • 

  • Advances in nanoparticle-based mRNA delivery for liver cancer and liver-associated infectious diseases
    
Authors: Seokhwan Chung, Chan Mi Lee, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.1039/D2NH00289B
    • 

  • 3D chitosan scaffolds support expansion of human neural stem cells in chemically defined condition
    
Authors: Fei-Chien Chang, Matthew Michael James, Abdullah Mohammed Qassab, Yang Zhou, Yoshiki Ando, Min Shi, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.1016/j.matt.2023.08.014
    • 

  • Chitosan Scaffolds as Microcarriers for Dynamic Culture of Human Neural Stem Cells
    
Authors: Yoshiki Ando, Fei-Chien Chang, Matthew James, Yang Zhou, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.3390/pharmaceutics15071957
    • 

  • Iron Oxide Nanoparticle-Mediated mRNA Delivery to Hard-to-Transfect Cancer Cells
    
Authors: Jianxi Huang, Guanyou Lin, Taylor Juenke, Seokhwan Chung, Nicholas Lai, Tianxin Zhang, Tianyi Zhang, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.3390/pharmaceutics15071946
    • 

  • Enhanced Cell Penetration and Pluripotency Maintenance of hiPSCs in 3D Natural Chitosan Scaffolds
    
Authors: Yuanzhang Tang, Yang Zhou, Guanyou Lin, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.1002/mabi.202200460
    • 

  • Ligand Chemistry in Antitumor Theranostic Nanoparticles
    
Authors: Guanyou Lin, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.1021/acs.accounts.3c00151
    • 

  • 3D Porous Scaffold-Based High-Throughput Platform for Cancer Drug Screening
    
Authors: Yang Zhou, Gillian Pereira, Yuanzhang Tang, Matthew James, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.3390/pharmaceutics15061691
    • 

  • Data from Time-Resolved MRI Assessment of Convection-Enhanced Delivery by Targeted and Nontargeted Nanoparticles in a Human Glioblastoma Mouse Model
    
Authors: Zachary R. Stephen, Peter A. Chiarelli, Richard A. Revia, Kui Wang, Forrest Kievit, Chris Dayringer, Mike Jeon, Richard Ellenbogen, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.1158/0008-5472.c.6511271
    • 

  • Iron Oxide Nanoparticles Decorated with Functional Peptides for a Targeted siRNA Delivery to Glioma Cells
    
Authors: Seokhwan Chung, Yutaro Sugimoto, Jianxi Huang, Miqin Zhang
    
Year: 2023
    
Citation: DOI: 10.1021/acsami.2c17802
    • 

  • Electrospun nanofibers for 3-D cancer models, diagnostics, and therapy
    
Authors: Ariane Erickson, Peter A. Chiarelli, Jianxi Huang, Sheeny Lan Levengood, Miqin Zhang
    
Year: 2022
    
Citation: DOI: 10.1039/D2NH00328G
    • 

  • High-Throughput Dispensing of Viscous Solutions for Biomedical Applications
    
Authors: Richard A. Revia, Brandon Wagner, Matthew James, Miqin Zhang
    
Year: 2022
    
Citation: DOI: 10.3390/mi13101730
    • 

  • Enzymatic and Cellular Degradation of Carbon-Based Biconcave Nanodisks
    
Authors: Zhiyong Wei, Qingxin Mu, Hui Wang, Guanyou Lin, Miqin Zhang
    
Year: 2022
    
Citation: DOI: 10.3390/mi13071144
    • 

  • Iron oxide nanoparticle-mediated radiation delivery for glioblastoma treatment
    
Authors: Peter A. Chiarelli, Richard A. Revia, Zachary R. Stephen, Kui Wang, Forrest M. Kievit, Jordan Sandhu, Meenakshi Upreti, Seokhwan Chung, Richard G. Ellenbogen, Miqin Zhang
    
Year: 2022
    
Citation: DOI: 10.1016/j.mattod.2022.04.001
    •