Dynhora Danheyda Ramirez Ochoa | Inteligencia de enjambre | Best Researcher Award

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Dr. Dynhora Danheyda Ramirez Ochoa | Inteligencia de enjambre | Best Researcher Award

Universidad Tecnológica de Chihuahua | Mexico

Dynhora Danheyda Ramírez Ochoa is a distinguished full-time professor at Universidad Tecnológica de Chihuahua, specializing in automation, data storage and analysis, project management, and digital innovation. With a Doctorate in Technology, a Master’s in Computer Systems Engineering, and a Bachelor’s in Computer Systems with a Hardware specialization, she has cultivated extensive expertise in multidisciplinary academic and technological environments. Since beginning her tenure at the university, she has advised over seventy students, facilitated seventeen graduations, and coordinated the development and monitoring of curricula for the Information Technologies and Digital Innovation program. Her leadership spans chairing and serving on committees for ethics, research, software, and tutoring, and she actively oversees STEM mentorship initiatives through the MC3T project. Dynhora has contributed to national and international conferences, focusing on swarm intelligence, decision-making processes, and emerging technologies, while publishing in specialized journals. Her dedication to fostering collaborative research teams, integrating immersive technologies, and promoting educational innovation reflects her commitment to developing both academic excellence and applied technological solutions, positioning her as an exemplary candidate for the Best Researcher Award.

Profile: Google Scholar

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Changqing Cai | Sensors and Robotics | Best Researcher Award

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Dr. Changqing Cai | Sensors and Robotics | Best Researcher Award

Professor |Changchun Institute of Technology | China

Changqing Cai, Professor at Changchun Institute of Technology, is a leading researcher and innovator specializing in intelligent control, smart grids, intelligent manufacturing, smart agriculture, and autonomous systems, recognized as an outstanding contribution talent of Jilin Province, national Baosteel Excellent Teacher, and a Class C talent of Jilin Province, as well as a science and technology innovation specialist, holding a Ph.D. from Jilin University’s School of Transportation and a bachelor’s degree from Jilin Vocational Normal University, he has presided over more than fifteen provincial and ministerial-level scientific research projects, published over thirty high-impact journal articles including research on attention-enhanced semantic segmentation for substation inspection robot navigation, and obtained multiple patents including eight invention patents and nine utility model patents, while serving as a reviewer for international journals such as Agriculture Information and collaborating with industry partners including Jilin Yuxing Machinery Manufacturing Co., Ltd. and Changchun Hexin Machinery Co., Ltd., his work focuses on industrial energy conservation, intelligent monitoring, and upgrading industrial electricity safety and energy efficiency, developing smart agriculture and cold-region adaptation technologies to mitigate reliance on weather conditions, advancing automotive manufacturing equipment and autonomous driving with smart manufacturing and safety enhancements, providing practical solutions to help Jilin Province modernize traditional industries and develop regional specialty industries, while cultivating research teams with strong technological R&D capabilities and regional industrial awareness, driving sustainable innovation and laying a foundation for future technological advancements, making him a highly suitable candidate for the Best Researcher Award.

Featured Publications:

Chao Zhang | Control Engineering | Best Researcher Award

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Assoc. Prof. Dr. Chao Zhang | Control Engineering | Best Researcher Award

Associate Professor | Henan Institute of Technology | China

Chao Zhang is an accomplished researcher and academic in the field of control theory, adaptive systems, and intelligent optimization methods, with extensive contributions spanning nonlinear system modeling, robust control, and advanced scheduling algorithms. His research journey demonstrates strong expertise in adaptive control of uncertain nonlinear time-varying systems with noise disturbances and has been widely recognized through influential publications and funded research projects. His scholarly works include Multidimensional Taylor Network Adaptive Control for MIMO Time-varying Uncertain Nonlinear Systems with Noises, Inverse Control of Single-Input/Single-Output Nonlinear Time-varying Systems with Noise Disturbances by Multi-dimensional Taylor Network, Data-driven Nonlinear Near-optimal Regulation based on Multi-dimensional Taylor Network Dynamic Programming, Identification and Adaptive Multi-dimensional Taylor Network Control of Single-input Single-output Non-linear Uncertain Time-varying Systems with Noise Disturbances, and Green Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm. He has further advanced optimization algorithms through works such as Adaptive Discrete Cat Swarm Optimization Algorithm for Flexible Job Shop Problem, Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases, Energy-efficient Scheduling for a Job Shop using an Improved Whale Optimization Algorithm, and Energy-efficient Scheduling for a Job Shop using Grey Wolf Optimization Algorithm with Double-searching Mode. His earlier works also include Inverse Control of Multi-dimensional Taylor Network for Permanent Magnet Synchronous Motor and Nonlinear stochastic time-varying system identification based on multi-dimensional Taylor network with optimal structure. Beyond international publications, he has authored significant Chinese-language contributions such as career combining theoretical innovation and engineering application, Chao Zhang has established himself as a leading scholar in adaptive control, nonlinear system identification, intelligent optimization, and energy-efficient scheduling, contributing both to the advancement of control theory and its real-world industrial applications.

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Nahid Entezarian | Machine Interaction | Best Researcher Award

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Ms. Nahid Entezarian | Machine Interaction | Best Researcher Award

Author, University of Mashhad, Mashhad, Iran

Nahid Entezarian is a Ph.D. candidate in Information Technology Management at Ferdowsi University of Mashhad. Her research interests include text mining, data mining, NeuroIS, artificial intelligence, machine learning, and research methodology in information systems.

Profile

scholar

Education 🎓

Nahid Entezarian is currently pursuing her Ph.D. in Information Technology Management at Ferdowsi University of Mashhad, specializing in Smart Business. Her academic background has provided a solid foundation for her research and professional endeavors.

Experience 🧪

Unfortunately, the provided text does not mention specific work experience or professional roles held by Nahid Entezarian.

Awards & Honors �

Unfortunately, the provided text does not mention specific awards or honors received by Nahid Entezarian.

Research Focus 🔍

1. Text Mining: Investigating the application of text mining techniques in various domains.
2. Data Mining: Exploring the use of data mining methods for knowledge discovery.
3. NeuroIS: Examining the intersection of neuroscience and information systems.
4. Artificial Intelligence: Investigating the application of AI in various domains.
5. Machine Learning: Developing and applying machine learning algorithms for data analysis.

Publications📚

1. An investigation extent and factors influencing the users’ perception of database interface based on Nielsen model 📊
2. GUIDELINES FOR USER INTERFACE DESIGN BASED ON USERS’BEHAVIORS, EXPECTATIONS AND PERCEPTIONS 📈
3. Topic Modeling on System Thinking Themes Using Latent Dirichlet Allocation, Non-Negative Matrix Factorization and BER Topic 🤖
4. NeuroIS: A Systematic Review of NeuroIS Through Bibliometric Analysis 🧠
5. The Application of Artificial Intelligence in Smart Cities: A Systematic Review with Methodi Ordinatio 🌆
6. Systems Thinking in the Circular Economy: An Integrative Literature Review ♻️
7. The impact of knowledge management and Industry 4.0 technologies in organizations: a meta-synthesis approach 📈
8. Topic Modeling Emerging Trends for Business Intelligence in Marketing: With Text Mining and Latent Dirichlet Allocation 📊
9. Topic Modeling Emerging Trends for Business Intelligence in Marketing: With Text Mining and Latent Dirichlet Allocation 📊
10. Introducing and Evaluation of Rogers’s Diffusion Innovation Theory 📈

Conclusion 🏆

Nahid Entezarian’s impressive academic and research experience, research output, interdisciplinary research approach, and collaborations make her an outstanding candidate for the Best Researcher Award. While there are areas for improvement, her strengths and achievements demonstrate her potential to make a significant impact in her field.

Salvatore Garofalo | Smart Materials and Artificial Muscles | Best Researcher Award

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Mr. Salvatore Garofalo | Smart Materials and Artificial Muscles | Best Researcher Award

PhD scholar, University of Calabria, Italy

Salvatore Garofalo is a PhD candidate in Civil and Industrial Engineering at the University of Calabria, Italy, specializing in smart materials and artificial muscles. He holds a Master’s (2023) and Bachelor’s (2020) in Mechanical Engineering, both with top honors. His research focuses on thermo-electro-mechanical behavior and the fatigue properties of nanostructured materials. He has been a visiting PhD scholar at Iowa University, contributing to advancements in Twisted and Coiled Artificial Muscles (TCAMs). Garofalo has published multiple peer-reviewed papers and won awards for his innovative research.

Profile

Education 🎓

PhD (2023–2026, Ongoing): Civil & Industrial Engineering, University of Calabria, Italy – Research in smart materials & artificial muscles. Master’s (2020–2023): Mechanical Engineering, University of Calabria – Thesis on fatigue behavior of nanostructured polymers. Bachelor’s (2017–2020): Mechanical Engineering, University of Calabria – Thesis on fatigue in composite materials. Secondary Diploma (2013–2017): Liceo Scientifico, Italy – Scientific high school graduate with top honors.

Experience 💼

Visiting PhD Scholar (2025): Iowa University, USA – Research on improving TCAMs. Teaching Assistant (2023–2025): University of Calabria – Courses on Mechanics of Materials. PhD Student Representative (2023–2026): University of Calabria – Institutional role. Internship (2022): Safran Aircraft Engines, France – Fatigue analysis of polymers & nanocomposites. Study Abroad (2015): ISIS Greenwich School, UK – English language & cultural immersion.

Awards & Honors 🏆

Best Poster Award (2024): General Meeting Age-It 2024, University of Venice, Italy. Best Poster Award (2023): 8th World Congress on Advanced Materials, Thailand. Internship at Safran Aircraft Engines (2022): Selected for a competitive role in polymer fatigue research. Top Academic Honors: Achieved highest distinction in Bachelor’s, Master’s, and secondary education.

Research Focus 🔬

Smart Materials & Artificial Muscles: Investigating thermo-electro-mechanical properties of TCAMs. Fatigue Behavior of Nanostructured Polymers: Enhancing durability of composite materials for aeronautics. Biomedical Applications: Exploring artificial muscles for rehabilitation devices. Finite Element Modeling: Simulating fatigue resistance of polymer matrix composites. All-Optical Actuation Systems: Developing non-contact control strategies for artificial muscles.

Publications

Production Parameters and Thermo-Mechanical Performance of TCAMs (Eng. Proc., 2025).

A Critical Review of Upper-Limb Rehabilitation Devices (Robotics and Autonomous Systems, 2025).

Transitioning to Artificial Muscles in Rehabilitation (J. Intelligent Material Systems, 2024).

Fatigue Behavior of Nanostructured Epoxy Composites (J. Reinforced Plastics, 2024).

 

Conclusion

Salvatore Garofalo is a highly promising researcher in smart materials and artificial muscles, with a strong academic foundation, innovative research contributions, and international exposure. His awards, publications, and industry experience position him as a strong candidate for the Best Researcher Award. By expanding collaborations, securing patents, and broadening research applications, he could further solidify his standing as a leader in his field.

 

Zhangbao Xu | nonlinear control | Best Researcher Award

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Assoc. Prof. Dr. Zhangbao Xu | nonlinear control | Best Researcher Award

Associate Professor at Fuyang Normal University, China

Zhangbao Xu is an Associate Professor at Fuyang Normal University, China, specializing in high-accuracy servo control, adaptive control, and intelligent mechatronic systems. He earned his Ph.D. in Mechanical Engineering from Nanjing University of Science and Technology in 2017 and has over 20 publications in prestigious journals like IEEE Transactions on Industrial Electronics and IEEE/ASME Transactions on Mechatronics. He has served as a guest editor for Electronics and Actuators. His research integrates robust and intelligent control strategies for mechatronic applications.

Publication Profile

scopus

Education 🎓

Ph.D. in Mechanical Engineering (2017) – Nanjing University of Science and Technology, China B.S. in Mechanical Engineering and Automation (2012) – Huaqiao University, Xiamen, China

Experience 💼

Associate Professor (2023–Present) – School of Computer and Information Engineering, Fuyang Normal University, China Postdoctoral Researcher (2021–2023) – Nanjing University of Aeronautics and Astronautics, China Lecturer (2017–2023) – School of Mechanical Engineering, Anhui University of Technology, China

Awards and Honors 🏆

Guest Editor – Electronics, Actuators Published in Top Journals – IEEE Transactions on Industrial Electronics, IEEE Transactions on Automation Science and Engineering Recognition for Research Contributions – High-impact publications in mechatronics, control systems, and intelligent automation

Research Focus 🔬

Zhangbao Xu’s research centers on high-accuracy servo control, adaptive control, robust control, and intelligent control for mechatronic systems, emphasizing real-time applications, precision engineering, and industrial automation. 🚀

Publications 📖

🔹 Total Publications: 7+ in top-tier journals 📚
🔹 Total Citations: 54+ (as per listed articles) 📈
🔹 Key Focus Areas: Adaptive control, prescribed performance control, robust servo systems ⚙️

📌 Notable Papers & Impact

✅ Barrier Lyapunov Function-Based Adaptive Output Feedback Prescribed Performance Controller for Hydraulic Systems (2023) – 38 citations
✅ Observer-Based Prescribed Performance Adaptive Neural Output Feedback Control (2023) – 15 citations
✅ Adaptive Prescribed Performance Output Feedback Control for Full-State-Constrained DC Motors (2024) – 1 citation
✅ RISE-Based Asymptotic Adaptive Prescribed Performance Control for DC Motors (2025) – Newly published

His research spans industrial automation, nonlinear system control, and mechatronics, with strong contributions in IEEE Transactions and European Journal of Control. 🚀

Conclusion 🎯

Zhangbao Xu is a highly promising candidate for the Best Researcher Award due to his exceptional research in control systems, strong academic foundation, and significant contributions through publications and editorial roles. To strengthen his candidacy further, expanding his international network, increasing research citations, and fostering industry ties would further elevate his influence and recognition.

Ze Yang | self-powered system | Best Researcher Award

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Assist Prof Dr. Ze Yang | self-powered system | Best Researcher Award

Assist Prof Dr at Tsinghua University, China

Dr. Ze Yang is a Postdoctoral Research Fellow at Tsinghua University’s Intelligence and Biological Machinery Laboratory, specializing in energy harvesting and mechanical engineering. With a Ph.D. from China University of Geosciences (Beijing), he has developed innovative systems like triboelectric nanogenerators (TENGs) and energy-harvesting backpacks. His work focuses on electrostatic adsorption and charge-pumping methods. Dr. Yang has published extensively in top-tier journals like Nano Energy and ACS Nano, contributing significantly to advancements in nanoenergy. He has earned multiple awards for his research excellence and is fluent in Mandarin and English.

Publication Profile

scholar

Education🎓

Dr. Ze Yang holds a Ph.D. in Mechanical Engineering from China University of Geosciences (Beijing), obtained in 2022. Before that, he earned a Master’s degree in Mechanical Engineering from Beihua University (2018) and a Bachelor’s degree from Hubei University of Art and Science (2016). During his Ph.D., he participated in a joint training program with Tsinghua University, gaining hands-on experience in cutting-edge research on mechanical systems and energy harvesting technologies. Currently, he is a Postdoctoral Research Fellow at Tsinghua University. 📖

Experience⚙️

Dr. Ze Yang’s research journey began with his role as a Graduate Research Assistant at Beihua University, focusing on rehabilitation bed systems. At Tsinghua, he designed advanced TENGs and energy-harvesting systems. His projects include developing load-suspended and charge-pumping backpacks, which use 3D printing and innovative designs to reduce impact and improve energy efficiency. As a Postdoctoral Fellow, he continues his groundbreaking work on non-contact electrostatic induction and wind energy harvesting. He is proficient in mechanical drawing and 3D printing. 🛠️🎯🚀

Awards and Honors 🏆

Dr. Ze Yang has received numerous accolades for his academic and research excellence. These include the prestigious National Scholarship for Excellent Academic Performance (Top 2%) in 2017, First Prize for “Excellent Academic Report” at Tsinghua University in 2021, and the Best Poster Award at the 5th International Conference on Nanoenergy and Nanosystems in 2021. His innovative work on energy-harvesting technologies has also garnered wide recognition within the mechanical engineering field.

Research Focus🌍

Dr. Ze Yang’s research focuses on mechanical engineering, triboelectric nanogenerators (TENGs), and energy harvesting. His groundbreaking work includes developing charge-pumping systems and non-contact electrostatic induction for energy generation from human motion and environmental sources like wind. He also focuses on minimizing material fatigue and improving output efficiency through innovative methods like charge pumping and voltage stabilization. His research has major implications for renewable energy and impact reduction technologies.

 

Publication  Top Notes

Technological Progress and Commercial Applications: Choi et al. (2023) have explored the evolution of TENG technology and its transition from laboratory innovations to commercial applications. Their review in ACS Nano covers breakthroughs in material development, system integration, and potential industrial uses .

Flexible Tactile Sensors: Song et al. (2022) introduced a flexible triboelectric tactile sensor capable of recognizing material and texture simultaneously. This innovation in Nano Energy highlights the sensor’s potential use in robotics and prosthetics .

Energy Harvesting from Wearables: Yang et al. (2021) presented a “power backpack” designed for energy harvesting and reduced load impact. The device utilizes a TENG to generate electricity from human movement, providing a practical energy source for portable electronics .

Charge Pumping and Voltage Stabilization: Research led by Yang et al. (2021) focuses on improving the efficiency of TENGs by incorporating a charge pumping mechanism, stabilizing the voltage, and boosting the current output .

Biosystems and Self-powered Devices: Shen et al. (2022) reviewed the application of TENGs in biosensing and self-powered systems. They emphasize challenges like device miniaturization and material optimization, as well as their use in health monitoring and wearable technologies .

Conclusion

Z. Yang is undoubtedly a strong candidate for the Best Researcher Award, with a proven track record of innovation, excellence in mechanical engineering, and significant contributions to energy harvesting technologies. His strengths in system design, theoretical analysis, and practical applications make him an asset to the field. By expanding his collaborative network and incorporating AI technologies into his research, Yang has the potential to further enhance his contributions and solidify his status as a leading researcher.

Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

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Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

Dr. Katarina Djordjevic, University of Belgrade, Serbia

Dr. Katarina Đorđević holds a PhD in Physics and is an expert in the physics of condensed matter and photoacoustics. She has significant experience in applying neural networks for material characterization, supervised machine learning, and solving inverse problems. Dr. Đorđević is skilled in numerical testing and developing measurement procedures, as well as utilizing computational intelligence algorithms in various applications. Her work involves a blend of theoretical and practical approaches, leveraging advanced computational techniques to enhance understanding and innovation in material sciences.

 

Professional Profiles:

Google Scholar

Intelligence 🚀

Dr. Katarina Đorđević, PhD in Physics, is a renowned expert with extensive experience in the physics of condensed matter, photoacoustics, and the application of neural networks in material characterization. Her diverse expertise spans multiple cutting-edge fields, making her a leading figure in both theoretical and applied physics.

🌟 Physics of Condensed Matter:

Dr. Đorđević’s work in condensed matter physics delves into the intricate properties of matter in various states, contributing to a deeper understanding of material behavior under different conditions.

🔊 Photoacoustics:

She is well-versed in photoacoustics, a technique that combines light and sound to probe the properties of materials. This innovative approach allows for non-invasive, highly precise material characterization.

🤖 Neural Networks & Material Characterization:

Leveraging neural networks, Dr. Đorđević has advanced the field of material characterization. Her research utilizes these artificial intelligence systems to analyze and predict material properties with unprecedented accuracy.

💻 Supervised Machine Learning:

A significant portion of her work involves supervised machine learning, where she trains models to recognize patterns and make predictions based on extensive datasets. This has vast applications in materials science and beyond.

🔄 Inverse Problem Solving:

Dr. Đorđević excels in solving inverse problems, which involve determining unknown causes from known consequences. This is crucial in many scientific and engineering disciplines, where direct measurement is challenging or impossible.

🔢 Numerical Testing & Measurement Procedures:

Her expertise extends to numerical testing and developing precise measurement procedures, ensuring accuracy and reliability in experimental physics.

🧠 Computational Intelligence Algorithms:

She applies advanced computational intelligence algorithms to tackle complex problems in physics and material science, driving innovation and efficiency in her research.Dr. Katarina Đorđević’s multidisciplinary approach and profound knowledge make her a standout scientist, continually pushing the boundaries of what is possible in physics and computational intelligence. 🌍🔬✨

📖 Publications Top Note :

1. Photoacoustic Measurements of the Thermal and Elastic Properties of n-type Silicon Using Neural Networks

Authors: КL Djordjević, DD Markushev, ŽМ Ćojbašić, KL Djordjević
Journal: Silicon 12 (6), 1289-1300, 2020
Citations: 21

2. Computationally Intelligent Description of a Photoacoustic Detector

Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, SP Galovic, …
Journal: Optical and Quantum Electronics 52, 1-14, 2020
Citations: 19

3. Development and Comparison of Techniques for Solving the Inverse Problem in Photoacoustic Characterization of Semiconductors

Authors: M Nesic, M Popovic, K Djordjevic, V Miletic, M Jordovic-Pavlovic, …
Journal: Optical and Quantum Electronics 53, 1-16, 2021
Citations: 17

4. Photoacoustic Optical Semiconductor Characterization Based on Machine Learning and Reverse-Back Procedure

Authors: КL Djordjevic, SP Galovic, MI Jordovic-Pavlovic, MV Nesic, MN Popovic, …
Journal: Optical and Quantum Electronics 52, 1-9, 2020
Citations: 16

5. Influence of Data Scaling and Normalization on Overall Neural Network Performances in Photoacoustics

Authors: КLj Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, MN Popović …
Journal: Optical and Quantum Electronics 54 (501), 31-35, 2022
Citations: 14*

6. Photothermal Response of Polymeric Materials Including Complex Heat Capacity

Authors: KL Djordjevic, D Milicevic, SP Galovic, E Suljovrujic, SK Jacimovski, …
Journal: International Journal of Thermophysics 43 (5), 68, 2022
Citations: 14

7. Estimation of Linear Expansion Coefficient and Thermal Diffusivity by Photoacoustic Numerical Self-Consistent Procedure

Authors: MV Nesic, MN Popovic, SP Galovic, KL Djordjevic, MI Jordovic-Pavlovic, …
Journal: Journal of Applied Physics 131 (10), 2022
Citations: 13

8. Sintering of Fly Ash Based Composites with Zeolite and Bentonite Addition for Application in Construction Materials

Authors: A Terzić, N Đorđević, M Mitrić, S Marković, K Đorđević, VB Pavlović
Journal: Science of Sintering 49 (1), 23-37, 2017
Citations: 13

9. Inverse Problem Solving in Semiconductor Photoacoustics by Neural Networks

Authors: KL Djordjevic, DD Markushev, ŽM Ćojbašić, SP Galović
Journal: Inverse Problems in Science and Engineering 29 (2), 248-262, 2021
Citations: 11

10. Use Neural Network in Photoacoustic Measurement of Thermoelastic Properties of Aluminum Foil

Authors: К Lj Djordjević, SP Galović, MN Popović, MV Nešić, IP Stanimirović, ZI …
Journal: Measurement, 111537, 2022
Citations: 10