Feng Tian | Big Data Analytics | Best Researcher Award

Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS 💼

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks
    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009


DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification
    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022


ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression
    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024


 PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia
    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024


 Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas
    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025


Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City
    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Prithi Madhavan | Deep Learning | Best Researcher Award

Ms. Prithi Madhavan | Deep Learning | Best Researcher Award

Marudhar Kesari Jain College for Women Autonomous Vaniyambadi | India

PUBLICATION PROFILE

Orcid

Scopus

INTRODUCTION

🌟 MS. PRITHI MADHAVAN is a seasoned educator and researcher with over 12 years of experience in the field of computer applications, specializing in areas such as machine learning, deep learning, and artificial intelligence. With a strong academic background and hands-on experience in teaching, she has played a pivotal role in shaping the future of students through innovative teaching methods. Prithi’s professional journey reflects her dedication to excellence in both academia and technology. She is currently serving as the Head of the Department and Assistant Professor at Marudhar Kesari Jain College for Women, Vaniyambadi, Tamil Nadu.

EARLY ACADEMIC PURSUITS

🎓 MS. PRITHI MADHAVAN embarked on her academic journey with a Bachelor of Computer Applications (BCA) in 2010, followed by a Master of Computer Applications (MCA) in 2013. She later completed her Master of Philosophy (M.Phil) in 2014 and is currently pursuing her Ph.D. in Deep Learning, having submitted her thesis and awaiting the viva. Her academic excellence and passion for learning laid the foundation for her thriving career in higher education and research.

PROFESSIONAL ENDEAVORS

💼 WORK EXPERIENCE: With more than 12 years of experience, Prithi has contributed significantly to both teaching and administrative roles. She has been serving as the Head of the Department of Computer Applications and as an Assistant Professor at Marudhar Kesari Jain College for Women since June 2013. Additionally, Prithi has held leadership roles, including serving as the College and Career Coordinator, Board of Studies Member, and acting as a coordinator for various academic and extracurricular programs. She played a vital role in organizing the Smart India Hackathon 2022, where the college team made it to the finals in Sikkim.

CONTRIBUTIONS AND RESEARCH FOCUS

🔬 RESEARCH AND INNOVATION: Prithi is deeply involved in research, particularly in machine learning, deep learning, and artificial intelligence. She has contributed to various fields, including retail sector analytics, human resource management systems, and robotics. Her research papers have been published in reputed journals such as Springer, Scopus, and the International Journal of Intelligent Systems and Applications in Engineering. Her works focus on the application of AI in solving real-world problems, including customer information systems, speech emotion recognition, and churn detection in retail industries.

IMPACT AND INFLUENCE

🌍 ACADEMIC IMPACT: Prithi’s impact as an educator is evident through her commitment to providing quality education and shaping future leaders in the field of computer science. She has mentored over 20 postgraduate (PG) and 15 undergraduate (UG) students’ research projects. Additionally, her involvement in various national and international workshops, seminars, and conferences has allowed her to influence the broader academic community. She is recognized for her exceptional teaching skills, having achieved a perfect score of 100 for six students in her machine learning and AI courses.

ACADEMIC CITATIONS AND PUBLICATIONS

📚 SCHOLARLY WORK: Prithi has a significant presence in the academic world with a number of published papers and books. Her work has been cited in various scholarly journals, and she has an impressive academic record. She has also contributed to books on topics like machine learning, deep learning, and cyber security. Notably, her research on facial recognition and marketing analytics has garnered international attention. Her Google Scholar, ORCID, and Scopus profiles further showcase her contributions to academia.

HONORS & AWARDS

🏆 ACHIEVEMENTS AND RECOGNITIONS: Prithi has received several accolades throughout her career. Some notable honors include the Best Faculty Award from Educational Excellence Award in 2021, the Excellence Competencies in Education World Award, and the Greater Educator Award from TIP for Education. She was also recognized with the “Kural Semmal Virthu” from the Pasumal Foundation and has been honored by various academic institutions for her contributions to education and research.

LEGACY AND FUTURE CONTRIBUTIONS

🌱 LEADERSHIP AND VISION: Prithi’s future goals involve continuing her research in machine learning and deep learning while mentoring the next generation of computer science professionals. As an innovation ambassador and academic leader, she is dedicated to shaping educational policies and curriculum development that foster growth and creativity. Her leadership within the Institution’s Innovation Council (IIC) has helped the college achieve prestigious awards and recognition for its innovation efforts.

FINAL NOTE

💡 LOOKING FORWARD: As Prithi continues to shape the future of academia, her efforts are poised to leave a lasting impact on both the educational and technological landscapes. Her commitment to excellence in research, teaching, and innovation will undoubtedly inspire future generations of students and professionals in the field of computer science. Her journey is a testament to her passion for education, innovation, and making a difference in the world of academia and beyond.

 TOP NOTES PUBLICATIONS 

Utilizing Machine Learning for Speech Emotion Recognition
    • Authors: Prithi, M.; Sankari, M.; Shinde, J.P.; Kumar, R.; Deepak, A.; Pokhariya, H.S.; Shrivastava, A.

    • Journal: International Journal of Intelligent Systems and Applications in Engineering

    • Year: 2024

Churn Detection Using Machine Learning in the Retail Industry
    • Authors: Prithi Madhavan; K. Tamizharasi

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Revolutionizing Retail: Machine Learning Applications for Enhanced Customer Experience and Operational Efficiency
    • Authors: Prithi M; Tamizharasi K

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Using Artificial Intelligence and Deep Learning Methods to Analyze the Marketing Analytics and Its Impact on Human Resource Management Systems
    • Authors: Gambhir, V.; Asnate-Salazar, E.; Prithi, M.; Alvarado-Tolentino, J.; Tongkachok, K.

    • Journal: Communications in Computer and Information Science

    • Year: 2022

 

Shanshan Chen | Data Analysis | Best Researcher Award

Dr. Shanshan Chen | Data Analysis | Best Researcher Award

Jilin Agricultural University, China

👨‍🎓Professional Profile

Scopus Profile

🧑‍🏫 Summary

Dr. Shanshan Chen is an Associate Professor at the College of Horticulture, Jilin Agricultural University, China. She specializes in facility vegetable cultivation physiology and disease-resistant breeding, with a focus on improving agricultural practices and enhancing crop resistance. Dr. Chen has led over 30 scientific projects, contributing to national and provincial research initiatives. Additionally, she has played a key role in developing agricultural standards and patents. As an educator, she teaches courses on horticultural plant breeding, soilless cultivation, and industrialized agriculture.

👩‍🎓 Education

Dr. Shanshan Chen completed her Bachelor’s in Horticulture (2000-2004), Master’s in Vegetable Science (2004-2007), and PhD in Crop Cultivation and Farming Systems (2009-2015) at Jilin Agricultural University.

💼 Professional Experience

Since 2007, Dr. Chen has been an Associate Professor in Facility Agricultural Science and Engineering at Jilin Agricultural University, focusing on agricultural education, research, and development.

📚 Academic Citations

Dr. Chen has authored over 10 research papers, contributed to two new crop varieties, and applied for three utility model patents. She has also helped formulate numerous agricultural standards.

🛠️ Technical Skills

Her expertise lies in facility vegetable cultivation physiology, disease-resistant breeding, and agricultural project management. Dr. Chen has been involved in pioneering agricultural practices and technologies.

👩‍🏫 Teaching Experience

Dr. Chen has taught various courses, including Facility Agriculture, Horticultural Plant Breeding, and Advanced Horticultural Physiology. She has supervised national-level student entrepreneurial projects and won the Second Prize in the 2016 Classroom Teaching Competition for Young Teachers.

🔬 Research Interests

Her research focuses on facility vegetable cultivation physiology, disease-resistant breeding in crops like eggplant and spikenard, and developing advanced agricultural techniques to improve crop quality and efficiency.

 📖Top Noted Publications
Study on the Diversity of Bacterial Communities in the Rhizosphere Soils of Different Wild Celery Species in Jilin Province
    • Authors: Chen, S., Zou, Y., Zhao, C., Zou, Y., Qiao, J.
    • Journal: Agronomy
    • Year: 2024
Effects of Different Combinations of Red and Blue Light on the Edible Organ Morphology and Quality of Buckwheat (Fagopyrum esculentum Moench) Microgreens
    • Authors: Qiao, J., Li, Z., Lv, Z., Chen, S., Feng, Y.
    • Journal: Agronomy
    • Year: 2024
Salicylic Acid Had the Potential to Enhance Tolerance in Horticultural Crops Against Abiotic Stress
    • Authors: Chen, S., Zhao, C.-B., Ren, R.-M., Jiang, J.-H.
    • Journal: Frontiers in Plant Science
    • Year: 2023
Transcriptome Analysis and Genetic Diversity of Allium victorialis Germplasms from the Changbai Mountains
    • Authors: Feng, B., Wang, X., Chen, S., Su, X., Song, S.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021
Characterization of the Complete Chloroplast Genome of the Solanum tuberosum L. cv. Shepody (Solanaceae)
    • Authors: Chen, S., Zhao, Y., Zhang, J.-Y., Zhao, C.-B., Han, Y.Z.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021