Baosheng Du | space propulsion | Best Researcher Award

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Assoc Prof Dr. Baosheng Du | space propulsion | Best Researcher Award

Assoc Prof Dr. Baosheng Du | space propulsion – Space Engineering University | China

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🧑‍🏫 Summary

Assoc. Prof. Dr. Baosheng Du is a distinguished researcher at the Space Engineering University, China. He specializes in the interdisciplinary fields of nanomaterials, photonics, propulsion systems, and energy storage technologies. With a strong academic foundation and innovative research portfolio, Dr. Du has made impactful contributions to both fundamental and applied sciences.

🎓 Education

Dr. Du earned his Ph.D. under the mentorship of Prof. Ye Sun at Harbin Institute of Technology, China. His doctoral research focused on advanced carbon nanomaterials and metal oxides, paving the way for his later explorations into multifunctional materials.

💼 Professional Experience

Currently serving as an Associate Professor at Space Engineering University, Dr. Du leads cutting-edge projects in materials science, space propulsion, and sensor technology. His career reflects a balance of academic excellence and practical engineering applications.

📚 Academic Citations

Dr. Du’s work has been widely cited in journals across materials science, nanotechnology, and aerospace engineering. His publications have contributed significantly to the understanding of thin films, oxide semiconductors, and energy systems.

🛠️ Technical Skills

Dr. Du is skilled in the synthesis and characterization of nanomaterials, thin-film deposition, photoluminescence spectroscopy, electrochemical analysis, gas sensing, and laser-induced propulsion. He also has expertise in energetic materials and electromagnetic wave absorption technologies.

👨‍🏫 Teaching Experience

In his academic role, Dr. Du has mentored graduate and undergraduate students in subjects related to nanoscience, sensor technology, and advanced propulsion systems, integrating practical laboratory experience with theoretical knowledge.

🔬 Research Interests

His current research spans carbon nanomaterials, metal oxide nanostructures, photoluminescence, nanosensors, electrochemical energy storage, energetic compounds, electromagnetic wave absorbers, and innovative methods for space propulsion and thin-film engineering.

📚 Selected Publication

Title: Simulations and Analyses of the Influence of a Vacuum Back-Pressure Environment on Laser Ablation Thrusters

Authors: Ming Wen, Baosheng Du, Haichao Cui, Jianhui Han
Journal: Aerospace
Year: 2025

Title: Study on Plasma-Chemical Mode of Pulsed Coaxial Dielectric Barrier Discharge Plasma Based on Mass Spectrometry

Authors: Diankai Wang, Yongzan Zheng, Baosheng Du, Jianhui Han, Ming Wen, Tengfei Zhang
Journal: Aerospace
Year: 2025

Title: Transient Force Measurement and Mechanism Analysis of Nanosecond Laser Ablation of Al/Ti Alloys Using Polyvinylidene Fluoride Sensors

Authors: Ming Wen, Baosheng Du, Luyun Jiang, Heyan Gao, Jianhui Han, Haichao Cui, Jifei Ye, Chenhui Yang
Journal: Sensors
Year: 2025

Title: Theoretical Research on the Combustion Characteristics of Ammonium Dinitramide-Based Non-Toxic Aerospace Propellant

Authors: Jianhui Han, Ming Wen, Yanji Hong, Baosheng Du, Luyun Jiang, Haichao Cui, Gaoping Feng, Junling Song
Journal: Aerospace
Year: 2025

Title: Research on Micro-Propulsion Performance of Laser Ablation ADN-Based Liquid Propellant Enhanced by Chemical Energy

Authors: Luyun Jiang, Jifei Ye, Chentao Mao, Baosheng Du, Haichao Cui, Jianhui Han, Yongzan Zheng, Yanji Hong
Journal: Aerospace
Year: 2025

Minura Samaranayake | Bioinformatics | Best Researcher Award

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Mr. Minura Samaranayake | Bioinformatics | Best Researcher Award

Mr. Zhishui You | Brain-Computer Interface – South Dakota State University | United States

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Minura Samaranayake is a versatile engineer and researcher with a strong foundation in software development and satellite image processing. Currently pursuing a Master’s in Electrical Engineering at South Dakota State University, he works as a Graduate Research Assistant at the Image Processing Lab, focusing on hyperspectral and multispectral image analysis. He previously worked at Sysco LABS as a Software Engineer, building scalable cloud-based systems and AI-driven applications. Proficient in Java, Python, MATLAB, and AWS, Minura excels at creating robust pipelines and intelligent systems that bridge scientific research and real-world engineering.

🎓 Education

Minura is currently enrolled in the M.S. Electrical Engineering program at South Dakota State University (2023–2025), studying Machine Learning, Optical Sensors, and Deep Learning. He earned his B.Sc. in Computer Science from the University of Peradeniya, Sri Lanka (2018–2022), where he focused on Software Project Management, Functional Programming, and Image Processing. He received the Prize for Excellence in Computer Science and was listed on the Dean’s List. His education merges theoretical depth with applied skills in software engineering and signal processing.

💼 Experience

Minura has experience in both academia and industry. At SDSU, he developed automated Linux pipelines for radiometric calibration, MTF estimation, and hyperspectral analysis. At Sysco LABS, he built REST APIs and microservices using Java (Spring Boot), integrated Apache Kafka, and automated CI/CD with Docker and GitHub Actions. He also developed an AI-based safety wear detection system with TensorFlow. His contributions span scientific research and enterprise-grade solutions, showcasing his technical versatility and team collaboration skills.

🏅 Awards and Honors

Minura has received recognition for both academic excellence and leadership. He was awarded the Prize for Excellence in Computer Science (2022) and made the Dean’s List. In addition, he was the Rugby Team Captain (2021) at the University of Peradeniya. These honors reflect his multifaceted capabilities, commitment to personal development, and ability to balance academics and extracurriculars.

🔬 Research Focus

Minura’s research centers on satellite sensor calibration, particularly hyperspectral and multispectral imagery. At SDSU, he specializes in Trend-to-Trend cross-calibration, MTF modeling, and spectral band adjustment. He works with EPICS targets to ensure the harmonization of sensors like Landsat and Sentinel. His research supports global monitoring applications in climate, agriculture, and environmental science. His peer-reviewed publication in Remote Sensing underlines his scientific contributions and commitment to data accuracy in Earth observation.

📚 Selected Publication

Refinement of Trend-to-Trend Cross-Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (EPICS) Global Temporally Stable Target

  • Authors: Minura Samaranayake, Morakot Kaewmanee, Larry Leigh, Juliana Fajardo Rueda

  • Journal: Remote Sensing

  • Year: 2025

 

Yong Wang | Bioinformatics | Best Scholar Award

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Prof Dr. Yong Wang | Bioinformatics | Best Scholar Award

Prof Dr. Yong Wang | Bioinformatics – Hefei University Of Technology | China

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📌 INTRODUCTION

Prof. Dr. Yong Wang is a highly respected figure in the field of mechanical design engineering, currently serving as a Professor, Doctor of Engineering, and Doctoral Supervisor at the Hefei University of Technology. As a member of the Jiusan Society, and actively involved in multiple robotics and sensor committees such as the Chinese Automation Society and Chinese Artificial Intelligence Society, he has established himself as a thought leader in automation and intelligent systems. His role as the Director of the Sensor Branch of the China Instrument Society further underlines his significant influence in the sensor research community.

🎓 EARLY ACADEMIC PURSUITS

Dr. Wang laid the foundation for his career by earning a Master’s degree in 1998 from the Department of Mechanical Engineering at Hefei University of Technology. He pursued academic excellence further and achieved his Ph.D. in 2008 from the School of Mechanical and Automotive Engineering at the same institution. These formative years helped him build deep expertise in mechanical systems, automation, and robotics, shaping the trajectory of his future research and teaching.

💼 PROFESSIONAL ENDEAVORS

Beginning his professional journey as an Assistant Engineer at Hefei Tool Factory from 1991 to 1995, Dr. Wang transitioned into academia in 1999 as a Lecturer. He steadily rose through the academic ranks, becoming an Associate Professor in 2003 and a full Professor in 2009. After completing his postdoctoral research at Shenli Group Co., Ltd. in 2011, he was appointed Doctoral Supervisor in 2012. Throughout his career, he has remained committed to nurturing young researchers and advancing technological innovation.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Wang has made pioneering contributions in intelligent mechanical systems, focusing particularly on three main areas: multi-dimensional wrist force sensors for robots, marine environment sensor technology, and rehabilitation robotics and assessment systems. His research integrates mechanical design, sensor technologies, and biomedical engineering, enabling the development of innovative systems used in both industrial and medical fields.

🌍 IMPACT AND INFLUENCE

With a distinguished reputation, Dr. Wang plays a key role in national academic bodies and has contributed to shaping the direction of sensor and robotic technologies in China. He has received major funding from top national research programs such as the National Natural Science Foundation of China, including a Key Support Project, and participated in projects under the 863 National High-Tech Program. His innovations in rehabilitation technology and marine sensors have been implemented in practical applications, underscoring the real-world impact of his research.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

A prolific researcher, Dr. Wang has published over 70 peer-reviewed papers across leading scientific journals. His work in rehabilitation robotics appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biomedical Engineering Online, and Journal of Mechanical Science & Technology, while his contributions to sensor technology are featured in Sensors, Ocean Engineering, and Optical Precision Engineering. These publications highlight his cross-disciplinary approach and commitment to high-impact, applied science.

🏅 HONORS & AWARDS

Dr. Wang’s scientific excellence is reflected in the more than 70 authorized invention patents he holds, many of which have been commercialized and integrated into real-world systems. His contributions have earned him recognition from national research foundations and academic institutions. The successful industrial application of his rehabilitation devices and intelligent sensors stands as a testament to the practical significance of his work.

🛠️ REPRESENTATIVE PATENTS

Among his many patents, notable examples include innovations in wearable rehabilitation exoskeletons, multi-joint motion systems, marine current and pressure sensors, and methods for deep-sea flow and depth measurement. These inventions demonstrate his versatility and creativity, blending complex engineering with human-centered design to solve real-life challenges in healthcare, marine research, and robotics.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Prof. Dr. Yong Wang continues to push boundaries at the intersection of engineering, AI, and human health. His future endeavors aim to deepen the integration of machine learning in sensor networks, enhance robotic rehabilitation systems, and broaden international collaboration to bring his innovations to a global audience. His legacy is defined by a unique blend of academic rigor, technological innovation, and societal relevance.

📝 FINAL NOTE

In summary, Prof. Dr. Yong Wang is a trailblazer in mechanical design, robotics, and sensor technology, with an impressive record of research, patents, and mentorship. His ability to bridge academic excellence with industrial application makes him a standout figure in modern engineering. As he continues to innovate, educate, and lead, his influence will shape the future of intelligent systems and rehabilitation technology for years to come.

📚 SELECTED PUBLICATIONS

📄 1. Design and performance testing of smart insoles

  • Authors: Yan Yuan, Jinwei Xu, Jingsong Mu, Xue Liu, Houming Wang, Yong Wang

  • Journal: Measurement Science and Technology

  • Year: 2025

📄 2. A Real-Time Bionic Method Inspired by Neural Oscillators for Estimation and Extraction of Pathological Tremor

  • Authors: Feiyun Xiao, Biqing Zhong, Yanming Wu, Yong Wang

  • Journal: IEEE Journal of Biomedical and Health Informatics

  • Year: 2023

📄 3. Soft pneumatic actuator from particle reinforced silicone rubber: Simulation and experiments

  • Authors: Zhongming Lv, Wentao Hao, Feiyun Xiao, Pin Chen, Zhengshi Liu, Yong Wang

  • Journal: Journal of Applied Polymer Science

  • Year: 2022

📄 4. Simulation and verification of measurement system for deep-sea pressure and its small fluctuation pressure

  • Authors: Huai-Yang Wang, Shan-Shan Hu, Zheng-Shi Liu, Yong Wang

  • Journal: Measurement and Control

  • Year: 2021

📄 5. Design of a Novel Cross Beam Six-Dimensional Force Sensor

  • Authors: Chun Zhang, Yong Wang, Chunfeng Li, Shanshan Hu, Jinhong Zhong

  • Journal: Preprint (possibly submitted to a journal via Research Square)

  • Year: 2020

Zhishui You | Brain-Computer Interface | Best Research Article Award

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Mr. Zhishui You | Brain-Computer Interface | Best Research Article Award

Mr. Zhishui You | Brain-Computer Interface – Beihang University | China

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🧾 Summary

Zhishui You is a dedicated graduate student at Beihang University with a strong foundation in mathematics and electronic information. His interdisciplinary expertise bridges theoretical concepts and practical applications, particularly in the area of brain-computer interface (BCI) technologies. Zhishui is committed to advancing neural signal processing through innovative research in EEG decoding and generative methods.

🎓 Education

Mr. You earned a Bachelor’s degree in Mathematics and Applied Mathematics and a Master’s degree in Electronic Information from Beihang University. His educational journey reflects both depth in quantitative sciences and a transition into applied engineering research, particularly in EEG signal processing.

💼 Professional Experience

During his master’s studies, Zhishui collaborated with the Boardware-Barco-Beihang BAIoT Brain Computer Intelligence Joint Laboratory. He also engaged in international research with Cranfield University, contributing to a review article in the journal Sensors. He participated in two consultancy projects and has one patent under process.

📚 Academic Citations

Zhishui has authored one peer-reviewed article in an SCI-indexed journal (Sensors, MDPI, Vol. 25, 2025). Although currently early in his academic career, his publication is a stepping stone toward impactful contributions in neural engineering.

🛠️ Technical Skills

His technical portfolio includes EEG signal preprocessing, generative modeling for virtual EEG data, and algorithm development for neural data augmentation. These skills are instrumental in enhancing model training efficiency and performance in BCI systems.

👨‍🏫 Teaching Experience

While not formally involved in teaching roles, Zhishui has mentored junior students and contributed to collaborative learning environments within his research labs.

🧠 Research Interests

His primary interests lie in Brain-Computer Interfaces, EEG decoding, signal generation methods, and neural data augmentation. He is particularly enthusiastic about advancing practical applications in assistive technologies and healthcare.

📚 Selected Publications

Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods
  • Authors: Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao
  • Journal: Sensors
  • Year: 2025

Xuanyu Chen | Insight Inception | Best Researcher Award

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Dr. Xuanyu Chen | Insight Inception | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis – Beijing normal University | China

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👤 Summary

Dr. Xuanyu Chen is a lecturer at the Law School of Beijing Normal University, specializing in education law and jurisprudence. His work focuses on school bullying and the legal protection of minors, with a strong emphasis on the role of schools in legal governance.

🎓 Education

He holds both a Ph.D. and a Master’s degree in Law from the Law School of Beijing Normal University, where he developed his expertise in legal research and educational policy.

💼 Professional Experience

Dr. Chen previously served as a judge’s assistant at the Higher People’s Court of Xinjiang Uygur Autonomous Region, gaining firsthand insight into judicial processes. He now contributes to legal academia through teaching and research at BNU.

📚 Academic Citations

Dr. Chen has published 1 SCI/Scopus-indexed article, 2 CSSCI journal articles, and a monograph (ISBN: 978-7-5216-3201-9). He also leads funded research projects and holds an editorial appointment.

🛠️ Technical Skills

His core skills include case-based legal analysis, education governance policy research, and legislative review related to child protection and school responsibilities.

👨‍🏫 Teaching Experience

 At Beijing Normal University, he teaches courses in law and jurisprudence, mentoring students in legal studies and educational law.

🔬 Research Interests

 His research interests focus on the rule of law in education, school governance, juvenile legal protection, and school bullying prevention from a legal perspective.

📚 Selected Publications

School Responsibility and Improvement Pathways in the Prevention and Control of Campus Bullying in China: An Analysis of 155 Civil Judgments

  • Authors: Xuanyu Chen, Yulu Jin, Feng Han
    Journal: Social Sciences
    Year: 2025

 

Sahbanathul Missiriya Jalal | Healthcare Data Analysis | Best Researcher Award

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Dr. Sahbanathul Missiriya Jalal | Healthcare Data Analysis | Best Researcher Award

Dr. Sahbanathul Missiriya Jalal | Healthcare Data Analysis – King Faisal University | Saudi Arabia

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👩‍⚕️ Professional Summary

Dr. Mrs. Sahbanathul Missiriya Jalal, Ph.D. (N), RN, RM, is a seasoned academic and nursing professional with over 25 years of experience in teaching, clinical practice, and research. Currently serving as an Associate Professor at King Faisal University, Saudi Arabia, she has played a pivotal role in advancing nursing education through evidence-based practices, high-fidelity simulations, and outcome-based learning strategies. With exceptional communication and leadership skills, she has guided numerous postgraduate and doctoral candidates and served as an international Ph.D. thesis evaluator.

🎓 Education

Dr. Missiriya holds a Ph.D. in Nursing from Saveetha University, along with a Master’s in Nursing and a Bachelor’s in Nursing from The Tamil Nadu Dr. MGR Medical University. She also holds a Master’s in Child Care & Education from Alagappa University and a Diploma in Computer Applications (DCA). Her multidisciplinary academic background reflects a strong foundation in both clinical and educational domains.

💼 Professional Experience

Her career spans across prestigious institutions, including her current role at King Faisal University (2017–present), where she also chaired key academic committees. She has previously served as Professor, HOD, and Associate Professor at Saveetha College of Nursing, India. Her early roles as Clinical Nurse Instructor and Maternal & Neonatal Nurse provided a strong grounding in practical nursing care, shaping her holistic approach to teaching and curriculum development.

📚 Academic Citations & Publications

Dr. Missiriya has authored 27 research papers, published in reputed journals such as Thomson Reuters, PubMed, and Scopus-indexed publications. Her notable work includes research on protein-energy malnutrition, reproductive health, healthcare waste management, and diabetes self-care. She has also presented and organized numerous national and international conferences, further demonstrating her scholarly impact.

🧪 Technical & Research Skills

She is skilled in smart board technology, simulation-assisted learning, and health informatics. Her technical expertise supports her innovative teaching methods, particularly in nursing education, public health, and community health nursing. Additionally, she is proficient in research design, qualitative methods, and the use of digital tools for educational advancement.

🏫 Teaching Experience

With over two decades in academia, she has taught BSN, BSN Bridging, and MSN programs, covering a wide range of subjects including Clinical Nutrition, Public Health, and Nursing Research. Known for incorporating experiential and context-based learning, she ensures student engagement and critical thinking in the classroom. She has also served as a guide and mentor for several master’s theses and doctoral dissertations.

🔬 Research Interests

Her primary research interests include maternal and child health, protein-energy malnutrition, family planning education, health promotion, and nursing pedagogy. Her work reflects a commitment to improving community health outcomes and enriching the nursing profession through focused academic inquiry.

📚 Selected Publications

Title: Body Mass Index, Practice of Physical Activity and Lifestyle of Students During COVID-19 Lockdown

    • Authors: S.M. Jalal, M.R.M. Beth, H.J.M. AlHassan, N.M.J. Alshealah

    • Journal: Journal of Multidisciplinary Healthcare

    • Year: 2021

Title: Assessment of Knowledge, Practice and Attitude about Biomedical Waste Management among Healthcare Professionals during COVID-19 Crises in Al-Ahsa

    • Authors: S.M. Jalal, F. Akhter, A.I. Abdelhafez, A.M. Alrajeh

    • Journal: Healthcare

    • Year: 2021

Title: Dietary Practices and Barriers to Adherence to Healthy Eating among King Faisal University Students

    • Authors: A.I. Abdelhafez, F. Akhter, A.A. Alsultan, S.M. Jalal, A. Ali

    • Journal: International Journal of Environmental Research and Public Health

    • Year: 2020

Title: Knowledge and practice of postnatal mothers regarding personal hygiene and newborn care

    • Authors: S. Missiriya

    • Journal: International Journal of Pharmaceutical Science and Review Research

    • Year: 2016

Title: A comprehensive review on Ellagic acid in breast cancer treatment: From cellular effects to molecular mechanisms of action

    • Authors: Z.K. Maryam Golmohammadi, Mohammad Yasin Zamanian, Sahbanathul Missiriya Jalal

    • Journal: Food Science and Nutrition

    • Year: 2023

Shishir Tewari | Big Data Analytics | Outstanding Contribution Award

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Mr. Shishir Tewari | Big Data Analytics | Outstanding Contribution Award

Mr. Shishir Tewari | Big Data Analytics – Procore Technologies | United States

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👨‍💼 Professional Summary

Shishir Tewari is a highly accomplished Senior Engineering Manager with over 19 years of experience in software development, data engineering, and business intelligence. He has a proven track record of building and leading high-performing teams to deliver scalable, cloud-native data platforms that power enterprise decision-making. Shishir is known for his deep expertise in data warehousing, real-time analytics, and AI/ML-driven data solutions, consistently aligning technical strategy with business goals to drive innovation and operational excellence.

🏢 Work Experience

At Procore Technologies, Shishir leads the design and implementation of next-generation Master Data Management (MDM) and Marketing Analytics platforms, integrating AI/ML technologies to ensure data accuracy and accessibility. Previously at Google, he managed the Finance Data Universe on GCP, leading a global team to build data pipelines that processed over 100 petabytes of data, optimizing financial reporting and revenue forecasting. At Amazon, he engineered high-scale advertising data infrastructure, reducing costs and improving system performance significantly. His experience also spans financial giants like Morgan Stanley and JP Morgan Chase, where he built robust data ecosystems for compliance and regulatory reporting.

☁️ Technical Expertise

Shishir brings strong technical acumen across modern data stacks. He is proficient in cloud platforms like AWS (S3, Redshift, Lambda) and GCP (BigQuery, Composer, IAM), and skilled in big data technologies such as Spark, Hive, HDFS, and Databricks. He is also experienced in ETL tools like Informatica, SSIS, and BI platforms like Tableau and SAP BO. His programming knowledge includes Python, SQL, and C#, and he regularly applies data science libraries such as Pandas, Scikit-learn, and TensorFlow to solve complex business challenges.

🔍 Special Projects & Achievements

Shishir led the migration from Snowflake to Databricks at Procore, boosting performance and enabling real-time data capabilities. At Amazon, his cost optimization strategies reduced monthly data storage costs by 80%. He also developed financial and statistical models for liquidity stress testing at Morgan Stanley using Python, and optimized advertising pipelines that supported over $100M in deals.

🎓 Education

Shishir holds a specialization in Data Science and Analytics from Rutgers University, NJ, completed in 2019. He earned his Bachelor of Technology in Information Technology from UPTU, India in 2006 with a strong academic record.

🤝 Leadership & Collaboration

As a passionate leader, Shishir emphasizes team empowerment, cross-functional collaboration, and mentorship. He has successfully managed and scaled engineering teams across geographies, fostering a culture of continuous improvement and agile delivery. His collaborative approach ensures alignment between technical solutions and strategic business objectives.

🛠️ Core Competencies

His key skills include Data Architecture, Cloud Data Platforms, ETL Development, Machine Learning Integration, Technical Strategy, and Agile Methodologies. Shishir is also well-versed in data governance, compliance, and process automation, which makes him a well-rounded engineering leader.

📚 Selected Publications

Title: AI Powered Data Governance – Ensuring Data Quality and Compliance in the Era of Big Data

    • Authors: S. Tewari

    • Journal: Journal of Artificial Intelligence General Science (JAIGS), ISSN: 3006-4023

    • Year: 2025

Title: Operationalizing Explainable AI in Business Intelligence: A Blueprint for Transparent Enterprise Analytics

    • Authors: A. Chitnis, S. Tewari

    • Journal: Iconic Research and Engineering Journals

    • Year: 2024

Title: AI and Multi-Cloud Compliance: Safeguarding Data Sovereignty

    • Authors: S. Tewari, A. Chitnis

    • Journal: Iconic Research and Engineering Journals

    • Year: 2024

Title: Scalable Metadata Management in Data Lakes Using Machine Learning

    • Authors: S. Tewari

    • Journal: Iconic Research and Engineering Journals

    • Year: 2023

Title: AI-Powered Financial Forecasting: Enhancing Accuracy with Machine Learning in Enterprise System

    • Authors: S. Tewari

    • Journal: Journal of Emerging Technologies and Innovative Research

    • Year: 2023

Yugang Guo | Sports Psychology | Best Researcher Award

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Assoc Prof Dr. Yugang Guo | Sports Psychology | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis– Anyang Normal University | China

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✅ Suitability Summary

Dr. Guo’s research excellence and academic leadership make him a strong candidate for the Best Researcher Award. His focused investigations into personality psychology within sports education provide deep insights into student behavior and interpersonal dynamics. The publication of his work in a prestigious journal like Scientific Reports further reflects his scholarly merit and dedication to impactful, data-driven research that supports behavioral improvements in educational settings.

📘 Education & Experience Summary

Yugang Guo is the Associate Dean at the School of Physical Education, Anyang Normal University, where he has built a solid academic and professional foundation in sports education and psychology. With a comprehensive educational background and years of hands-on experience, Dr. Guo has focused his career on exploring the psychological behaviors of physical education students. His commitment to both teaching and research has contributed to the academic development of numerous students and scholars in the field.

📜 Professional Development

Throughout his academic career, Dr. Guo has remained committed to professional growth through research, publication, and leadership. As Associate Dean, he plays a pivotal role in shaping academic strategies, mentoring students, and promoting research culture within his department. His recent publication in an SCI-indexed journal showcases his commitment to academic rigor, while his active presence on platforms like ResearchGate underscores his engagement with the global research community.

🔬 Research Focus

Dr. Guo’s research primarily investigates the relationship between the Big Five personality traits and aggressive behavior in physical education students. His most recent study, conducted with 410 undergraduate participants in Henan, China, reveals key gender differences in aggression and highlights neuroticism as a significant predictor. These findings contribute valuable knowledge toward developing targeted interventions aimed at fostering emotional intelligence and reducing aggression among student-athletes.

🏆 Honors & Awards

Dr. Guo has been recognized for his academic contributions through the publication of his research in Scientific Reports (2025), titled “Gender differences in the relationship between Big Five personality traits and aggression among physical education students.” This publication marks a significant milestone in his research journey and supports his nomination for the Best Researcher Award, acknowledging his dedication to evidence-based advancement in physical education psychology.

📚 Selected Publications

Exporters’ Environmental Premium in a Developing Country: Firm-level Evidence from China

  • Authors: Yang, G.; Xie, Y.; Huang, X.; Chen, H.

  • Journal: Review of International Economics

  • Year: 2024

Design of Large-scale Sports Event Management System Under the Internet of Things CAD Technology

  • Authors: Song, L.; Guo, Y.

  • Journal: Computer-Aided Design and Applications

  • Year: 2023

Effect of Exercise Intervention on Smoking Cessation: A Meta-analysis

  • Authors: Zhou, Y.; Feng, W.; Guo, Y.; Wu, J.

  • Journal: Frontiers in Physiology

  • Year: 2023

Nicotine Dependence Affects Cardiopulmonary Endurance and Physical Activity in College Students in Henan, China

  • Author: Guo, Y.

  • Journal: Tobacco Induced Diseases

  • Year: 2023

Cooperative Innovation and Firm Technology Spillovers: Evidence from China

  • Authors: Yang, G.; Yu, P.; Huang, X.; Chen, H.

  • Journal: SSRN

  • Year: 2022

 

Jia Zhai | fuzzy system | Best Researcher Award

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Ms. Jia Zhai | fuzzy system | Best Researcher Award

Ms. Jia Zhai | fuzzy system – Jiangsu University of Science and Technology | China

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✅ Suitability Summary

Ms. Zhai is a highly motivated and technically capable individual with strong expertise in fuzzy systems, machine learning, and data modeling. Her proficiency in MATLAB and Python positions her well for roles involving AI algorithm development, intelligent system design, and academic research. She is recognized for her teamwork, accountability, and ability to translate complex theories into practical solutions, making her an excellent fit for research-intensive and data-driven environments.

📘 Education & Experience

Ms. Jia Zhai is currently pursuing her Master’s degree at Jiangsu University of Science and Technology, China (2022.09 – 2025.06). Her academic background combines strong theoretical foundations with hands-on research in mathematical modeling and artificial intelligence. From June 2024 to April 2025, she is involved in a key research project titled “A Hierarchical-Approximation-based Interpretable Multi-view TSK Fuzzy Classification for Diverse Aggregates of Fuzzy Rules.” This project introduces a joint-view shared decision subspace, a two-view mutual approximation strategy, and a novel stacked-like architecture, all aimed at enhancing classification performance and model interpretability. She also hosted the Jiangsu Provincial Graduate Student Research and Practice Innovation Program, highlighting her initiative and leadership in research.

📈 Professional Development

Ms. Zhai has consistently pursued academic growth and practical impact throughout her graduate journey. She is proficient in MATLAB and Python, essential for computational modeling. Her research output includes two accepted papers, two under review, one granted patent, and one registered software copyright, reflecting her innovation and research productivity. In addition, her experience in managing provincial research programs demonstrates her organizational and leadership abilities.

🔬 Research Focus

Her research centers on interpretable machine learning, with a specific focus on multi-view TSK fuzzy systems. She investigates how shared decision information and cross-view approximation can be integrated to train more effective and interpretable fuzzy models. Her contributions lie at the intersection of fuzzy logic, multi-view learning, and AI interpretability, making her research both relevant and impactful in today’s AI landscape.

🏆 Honors & Awards

Ms. Zhai has received multiple prestigious honors for her academic achievements. In 2023, she was awarded the Second Prize in the Jiangsu Province Mathematical Modeling Contest. In 2024, she received the Third Prize in the same contest and another Third Prize in the 21st “Huawei Cup” China Graduate Mathematical Modeling Competition. Beyond competitions, she has obtained one granted patent and completed one software copyright registration, showcasing her technical innovation and intellectual property contributions.

📚 Selected Publications

1. A Temporal Multi-View Fuzzy Classifier for Fusion Identification on Epileptic Brain Network

  • Authors: Xia Zhengxin, Xue Wei, Zhai Jia, Zhou Ta, Su Chong

  • Journal: IEEE Transactions on Fuzzy Systems

  • Year: 2025

2. A Hierarchical-approximation-based Interpretable Multi-view TSK Fuzzy Classification for Diverse Aggregates of Fuzzy Rules

  • Authors: Jia Zhai, Jinghao Chen, Guanghao Song, Yuanqing Yang, Wei Yan, Ta Zhou

  • Journal: International Journal of Control, Automation and Systems

  • Year: 2025

Mohammad Renewable energy | Best Researcher Award

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Assoc Prof Dr. Mohammad Renewable energy | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis– Islamic Azad University – Semnan Branch | Iran

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👨‍🏫 Summary

Assoc. Prof. Dr. Mohammad Tolou Askari is an accomplished academic in Power Electrical Engineering, currently serving as an Associate Professor at Islamic Azad University, Semnan Branch. With a strong background in both academia and industry, he has held various leadership roles including Head of International Affairs, Director of the Incubator Technology Center, and Managing Editor for multiple academic journals. His professional career spans over two decades, marked by a focus on electrical systems, power market restructuring, and renewable energy solutions.

🎓 Education

Dr. Askari earned his Ph.D. in Power Electrical Engineering from University Putra Malaysia (CGPA 4.0/4.0), where he focused on dynamic investment modeling in power markets with wind sources. He also holds an M.Sc. from the same university (CGPA 3.87/4.0), with research on transformer life estimation. His B.Sc. and Associate degrees were obtained in Iran, both in Power and Industrial Electricity, respectively.

💼 Professional Experience

Since 2011, he has been an Associate Professor at Islamic Azad University. He has also served as a consultant to Iran Small Industries and contributed to numerous engineering and audit projects for factories and industrial zones. His past roles include instructor at UPM, technical manager at Pouyan Tahvieh Co., and department head at the University of Applied Science and Technology (Mahdishahr). He has experience as a lecturer across several university branches and served in editorial capacities for scientific journals.

💻 Technical Skills

Proficient in MATLAB, Digsilent, EMTP-RV, PVsyst, GAMS, SPSS, MINITAB, LINGO, AutoCAD, E-Views, and Microsoft Office. Also skilled in video editing tools like Camtasia and KineMaster, with certification in ICDL.

🧑‍🏫 Teaching Experience

Dr. Askari has taught a wide range of undergraduate to PhD-level courses, including Renewable Energies, Power System Analysis, Smart Grid Optimization, Reliability, Power Electronics, Engineering Mathematics, and Technical English. He has also led laboratory sessions in machines, electronics, and energy systems.

🔬 Research Interests

His research spans Restructured Power Markets, Renewable Energies (Wind, Solar, Biomass, etc.), Smart Grids, Generation & Transmission Planning, Uncertainty Modeling, Microgrids, Hub Energy, and Power System Resilience. He has led numerous funded projects involving system audits, feasibility studies, and optimization across various industrial sectors.

📚 Selected Publications

Multi-objective resilience enhancement program in smart grids during extreme weather conditions

    • Authors: VG Rahman Ashrafi, Meysam Amirahmadi, Mohammad Tolou-Askari

    • Journal: International Journal of Electrical Power and Energy Systems

    • Year: 2021

Evaluation of lightning current using inverse procedure algorithm

    • Authors: M. Izadi, M.Z.A. Ab Kadir, M.T. Askari, M. Hajikhani

    • Journal: International Journal of Applied Electromagnetics and Mechanics

    • Year: 2013

Optimal resilient operation of hub energy system considering uncertain parameters

    • Authors: M. Paktinat, M. Amirahmadi, M. Tolou-Askari, F. Mousavizadeh

    • Journal: Sustainable Energy, Grids and Networks

    • Year: 2022

A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources

    • Authors: M.T. Askari, M.Z.A. Ab Kadir, H. Hizam, J. Jasni

    • Journal: Journal of Renewable and Sustainable Energy

    • Year: 2014

Modeling optimal long-term investment strategies of hybrid wind-thermal companies in restructured power market

    • Authors: M.T. Askari, M.Z.A. Kadir, M. Tahmasebi, E. Bolandifar

    • Journal: Journal of Modern Power Systems and Clean Energy

    • Year: 2019