Yang Xiao | Tongji University | Best Researcher Award

Prof. Yang Xiao | Tongji University | Best Researcher Award

Associate Professo at  Jilin University, China

Xiao Y. is a prominent researcher specializing in lithium-ion batteries, thermal runaway safety, and mechanical energy storage. With numerous impactful publications in top-tier journals, Xiao contributes extensively to advancing battery safety, uncertainty quantification for autonomous systems, and flame-retardant electrolyte designs.

 

Professional Profiles:

scopus

🎓 Education:

Ph.D. in Energy Storage and Engineering, Jilin University (2023).M.Sc. in Mechanical Engineering, Jilin University (2020).B.Sc. in Energy Engineering, Jilin University (2016).

💼 Experience:

Lead Researcher at Energy Storage Innovation Lab, focusing on thermal runaway and safety mechanisms for lithium-ion batteries.Published extensively in journals like Advanced Science, IEEE Access, and Chemical Engineering Journal.Collaborated on innovative solutions for autonomous vehicles and battery thermal management.

🏆 Awards and Honors:

2024: Best Paper Award – Energy Storage Journal.2023: Excellence in Research Award – Jilin University.2022: Outstanding Contribution Award – Journal of Electrochemical Energy Conversion.

🔬 Research Focus:

Lithium-ion battery safety ⚡Thermal runaway mechanisms 🔥Battery thermal management 🛠️Monte Carlo methods for autonomous vehicles 🚗Flame-retardant electrolytes for enhanced safety 🧪

✍️Publications Top Note :

Machine Learning in Battery Estimation: This covers methods and theoretical developments for estimating the state of charge (SOC) and state of health (SOH) of batteries in electric vehicles.

Thermal Runaway Safety: Papers exploring the triggers, consequences, and mitigation methods for thermal runaway in lithium-ion batteries.

Battery Thermal Management: Reviews discussing strategies to enhance thermal management systems for EV batteries.

Mechanical Abuse and Battery Safety: Reviews analyzing mechanical abuse-related thermal runaway models across different scales.

Monte Carlo Dropout in Autonomous Vehicles: A paper on leveraging Monte Carlo dropout for real-time uncertainty quantification in object detection, with applications in autonomous vehicles.

Conclusion

The candidate demonstrates significant potential and achievements for the Best Researcher Award in Engineering at Jilin University. Their educational background, focused expertise in intelligent electric vehicles, and contributions to a nationally funded project underline their research capabilities and innovative approach. To further strengthen their candidacy, focusing on high-impact publications, securing PI roles, and fostering international collaborations will solidify their standing as a leading researcher.

Manar Hamza | Computer Science Data mining | Best Researcher Award

Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor at  Prince Sattam bin Abd El Aziz University, China

👩‍🏫 Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. 💻 Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. 🌍 Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

scopus

Education 🎓

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018–2021). 🎓 Master’s Degree in Computer Science from Sudan University of Science and Technology (2003–2005). 🎓 B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995–1999). 📚 Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience 🖥️

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013–present). 👩‍💼 Supervisor and Coordinator roles in quality, academic advising, and measurement (2014–2020). 🇸🇩 Lecturer at Omdurman Islamic University, Sudan (2005–2012). 👩‍🔬 E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors 🏆

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. 🙌 Recognized for voluntary services, including extracurricular activities and technical support for students and staff. ⭐ Esteemed arbitrator in scientific and innovation conferences. 📜 Active contributor to enhancing the learning environment with innovative solutions.

Research Focus 🔍

Data mining, text mining, and information security are core research areas. 📊 Interested in qualitative research, outcome-based education, and e-learning systems. 🌐 Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. 🛡️ Exploring cybersecurity methods and their application in education and industry.

✍️Publications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889–1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176–186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486–15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98–114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153–168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258–267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147–11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidate’s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

Juan Chen | immunology | Best Researcher Award

Assoc Prof Dr. Juan Chen | immunology | Best Researcher Award

Assoc Prof Dr. China Agricultural University, China

Juan Chen is an Associate Professor in the Department of Nutrition and Health at China Agricultural University, specializing in Immunology and Nutrition. She completed her Bachelor’s in Bioscience from Hebei Normal University and earned her Ph.D. in Physiology from China Agricultural University. With extensive experience as a researcher at the Institute of Biophysics, Chinese Academy of Sciences, Chen has been recognized for her contributions to understanding B-cell-related immune deficiency diseases. Her research includes over 17 SCI publications, numerous national projects, and cutting-edge technological methodologies, solidifying her reputation as a leader in her field.

Professional Profiles:

Orcid

Education 🎓

2005-2009: Hebei Normal University; Bachelor of Bioscience 2009-2015: China Agricultural University; Ph.D. in Physiology

Work Experience 🏢

2015-2018: Institute of Biophysics, Chinese Academy of Sciences; Research Associate 2019-2022: Institute of Biophysics, Chinese Academy of Sciences; Associate Researcher 2022-present: Department of Nutrition and Health, China Agricultural University; Associate Professor

Academic Achievements 🏆

Dr. Juan Chen has made significant strides in the field of nutrition and immunology. Her research on B-cell-related immune deficiency diseases has been groundbreaking. She has published 17 SCI papers with a cumulative impact factor of 324. Below are some of her notable publications:

Research, Innovations, and Extension Activities 🔬💡

Dr. Chen’s work focuses on the homeostasis maintenance and regulation mechanism of B-cell antibody immune responses, aiming to discover new targets for treating immune deficiency diseases. She has presided over five national, provincial, and ministerial projects and participated in six national projects as a key contributor. She is adept in various advanced technological methods, including CLIP-seq, ChIP-seq, END-seq, HiChIP, and more.

As the editor of a special issue of Nutrients and a reviewer for several SCI journals, Dr. Chen has established herself as a leading voice in her field. Her work continues to inspire and drive forward the frontiers of nutrition and immunology.

✍️Publications Top Note :

B Cells Dynamic in Aging and the Implications of Nutritional Regulation

Journal: Nutrients, 2024

DOI: 10.3390/nu16040487

Contributors: Yu, Y.; Lu, C.; Yu, W.; Lei, Y.; Sun, S.; Liu, P.; Bai, F.; Chen, Y.; Chen, J.

Dietary Lipid Intervention in the Prevention of Brain Aging

Journal: Engineering, 2024

DOI: 10.1016/j.eng.2023.04.012

Contributors: Xiong, W.; Fang, B.; Wang, X.; Zhang, M.; Du, M.; Sun, J.; Chen, J.; Li, Y.; Sun, C.; Lei, X.

Emerging roles of RNA ac4C modification and NAT10 in mammalian development and human diseases

Journal: Pharmacology and Therapeutics, 2024

DOI: 10.1016/j.pharmthera.2023.108576

Contributors: Zhang, Y.; Lei, Y.; Dong, Y.; Chen, S.; Sun, S.; Zhou, F.; Zhao, Z.; Chen, B.; Wei, L.; Chen, J.

Grainy properties of post–heating fermented milk with different particle sizes

Journal: LWT, 2024

DOI: 10.1016/j.lwt.2024.116003

Contributors: Gao, F.; Li, H.; Ma, H.; Wang, P.; Mao, X.; Liu, R.; Fang, B.; Chen, J.; Zhu, L.; Zhu, Y.

Lactoferrin promotes intestinal stem cell-mediated epithelial regeneration by activating Wnt signaling

Journal: Food Frontiers, 2024

DOI: 10.1002/fft2.408

Contributors: Yu, W.; Lin, Y.; Lu, Y.; Wang, Y.; Zhang, D.; Quan, H.; Luo, Y.; Zhang, Y.; Jiang, Z.; Chen, J.

SARS-CoV-2 RNA stabilizes host mRNAs to elicit immunopathogenesis

Journal: Molecular Cell, 2024

DOI: 10.1016/j.molcel.2023.11.032

Contributors: Zhao, H.; Cai, Z.; Rao, J.; Wu, D.; Ji, L.; Ye, R.; Wang, D.; Chen, J.; Cao, C.; Hu, N.

Splicing factor SRSF1 is essential for homing of precursor spermatogonial stem cells in mice

Journal: eLife, 2024

DOI: 10.7554/eLife.89316

Contributors: Sun, L.; Lv, Z.; Chen, X.; Ye, R.; Tian, S.; Wang, C.; Xie, X.; Yan, L.; Yao, X.; Shao, Y.

The Effect of Bifidobacterium animalis subsp. lactis MN-Gup on Glucose Metabolism, Gut Microbiota, and Their Metabolites in Type 2 Diabetic Mice

Journal: Nutrients, 2024

DOI: 10.3390/nu16111691

Contributors: Zhang, C.; Fang, B.; Zhang, N.; Zhang, Q.; Niu, T.; Zhao, L.; Sun, E.; Wang, J.; Xiao, R.; He, J.

Complementary Alu sequences mediate enhancer–promoter selectivity

Journal: Nature, 2023

DOI: 10.1038/s41586-023-06323-x

Contributors: Liang, L.; Cao, C.; Ji, L.; Cai, Z.; Wang, D.; Ye, R.; Chen, J.; Yu, X.; Zhou, J.; Bai, Z.

Effect of High Fat Diet on Disease Development of Polycystic Ovary Syndrome and Lifestyle Intervention Strategies

Journal: Nutrients, 2023

DOI: 10.3390/nu15092230

Contributors: Han, Y.; Wu, H.; Sun, S.; Zhao, R.; Deng, Y.; Zeng, S.; Chen, J.

Dr. Alberth Renne Gonzalez Caranton | Catálisis | Best Researcher Award

Dr. Alberth Renne Gonzalez Caranton | Catálisis| Best Researcher Award

Dr. Alberth Renne Gonzalez Caranton, Universidad ECCI, Colombia

Dr. Alberth Renne Gonzalez Caranton is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

ORCID

Google scholar

Perfil Profesional 🚀

Ingeniero Químico, Magister en Ingeniería Química y Doctor en Ingeniería Química con énfasis en Catálisis heterogénea. Con experiencia destacada en investigación aplicada, desarrollo, preparación y caracterización de catalizadores nanoestructurados. Especialista en reformado catalítico de metano para producción de hidrógeno, oxidación catalítica, reacciones de oxidación de etileno verde, producción de biometano y celdas de combustible. Su visión incluye modelos educativos innovadores. Promotor apasionado de la ciencia en todos los contextos educativos como contribución al desarrollo humano.

🎓 Educación Formal

Doctor en Ingeniería QuímicaTema: Producción catalítica de Acetato de Vinila a partir de Etileno y Ácido acético sobre catalizadores nanoestructurados de Pd-Cu soportados en ZrO2 modificada.Fecha: 8 de septiembre de 2013 – 20 de marzo de 2019Institución: COPPE, Universidad Federal de Rio de JaneiroMagister en Ingeniería QuímicaTema: Reformado seco de metano sobre catalizadores de óxido nanoestructurado de Ni-Mg-Al.Fecha: febrero de 2009 – febrero de 2011Institución: Universidad Federal de São Carlos, BrasilIngeniero QuímicoTema: Estudio de las variables de electrodeposición de SiO2 sobre estructuras monolíticas.Fecha: septiembre de 2000 – diciembre de 2008Institución: Universidad Industrial de Santander, Colombia

Experiencia Profesional 💼

Universidad ECCIProfesor de Ingeniería Mecánica Tiempo CompletoFecha: Agosto 5 de 2019- ActualidadFunciones: Docencia y coordinación en asignaturas de energía, investigación y desarrollo de convenios.Universidad Nacional Abierta y a DistanciaDocente VirtualFechas: 8 abril de 2019-27 de diciembre de 2019Funciones: Profesor de cursos virtuales en áreas ambientales, asesoría investigativa y dirección de tesis.Ingenio ColombianoIngeniero Analista en Diseño de ProcesosFechas: 9 de octubre de 2018-9 de enero de 2019Funciones: Mejoramiento de plataformas virtuales, desarrollo de prácticas y talleres, y modelado en ingeniería agroindustrial.Insurcol Ltda.Ingeniero de Soporte QuímicoFechas: 28 de junio de 2011- 6 de septiembre de 2013Funciones: Desarrollo de ingeniería de procesos para análisis químico en refinerías colombianas.

📊 Citation Metrics (Google Scholar):

Citations by: All – 1471, Since 2018 – 1116
h-index: All – 20, Since 2018 – 17
i10 index: All – 41, Since 2018 –37