Somboon Tanasupawat | Molecular Biology | Best Researcher Award

Prof. Dr. Somboon Tanasupawat | Molecular Biology | Best Researcher Award

Chulalongkorn University, Thailand

👨‍🎓Profiles

🎓 Academic Background and Early Career

Prof. Dr. Somboon Tanasupawat has an extensive academic background in microbiology and agricultural chemistry. He obtained his Ph.D. in Agricultural Chemistry from Tokyo University of Agriculture, Japan, an M.Sc. in Microbiology from Kasetsart University, Thailand, and a Diploma in Microbiology and Biotechnology from Osaka University, Japan. His early academic pursuits provided a strong foundation in microbial taxonomy, biotechnology, and applied microbiology.

🔬 Professional Endeavors and Research Focus

Currently, Prof. Tanasupawat is a Professor at the Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand. His research expertise spans microbial taxonomy, industrial microbiology, and biotechnology. His contributions in identifying and characterizing novel microbial species have significantly advanced microbiological research.

📚 Research Contributions and Publications

With a prolific research career, Prof. Tanasupawat has published over 380 research articles in peer-reviewed journals and contributed 45 book chapters with internationally recognized publishers. His work in microbial taxonomy and applied microbiology has played a vital role in developing microbial applications for pharmaceuticals, agriculture, and environmental sciences.

🏆 Awards and Recognitions

His outstanding contributions to microbiology have been acknowledged with several prestigious awards, including:

  • Scientist Award – Nagai Award (1996) from the Nagai Foundation, Tokyo, recognizing his early scientific achievements.

  • National Outstanding Research Award (2020) from the National Research Council of Thailand, highlighting his groundbreaking research in microbiology.

📖 Editorial and Academic Influence

Prof. Tanasupawat is an editorial board member of several scientific journals, further demonstrating his leadership in the microbiology community. His role as a mentor and researcher continues to influence microbiological advancements and guide future generations of scientists.

🌱 Legacy and Future Contributions

With his extensive research experience, Prof. Tanasupawat continues to contribute to microbial taxonomy and biotechnology, exploring new applications of microorganisms in pharmaceutical, environmental, and industrial fields. His legacy will remain in the identification and utilization of beneficial microbes, shaping the future of applied microbiology and microbial research worldwide.

📖Notable Publications

Description of Komagataeibacter gen. nov., with proposals of new combinations (Acetobacteraceae)

Authors: Y Yamada, P Yukphan, HTL Vu, Y Muramatsu, D Ochaikul, …

Journal: The Journal of General and Applied Microbiology

Year: 2012

Lactobacillus acidipiscis sp. nov. and Weissella thailandensis sp. nov., isolated from fermented fish in Thailand

Authors: S Tanasupawat, O Shida, S Okada, K Komagata

Journal: International Journal of Systematic and Evolutionary Microbiology

Year: 2000

Ideonella sakaiensis sp. nov., isolated from a microbial consortium that degrades poly(ethylene terephthalate)

Authors: S Tanasupawat, T Takehana, S Yoshida, K Hiraga, K Oda

Journal: International Journal of Systematic and Evolutionary Microbiology

Year: 2016

Proteinase-producing halophilic lactic acid bacteria isolated from fish sauce fermentation and their ability to produce volatile compounds

Authors: N Udomsil, S Rodtong, S Tanasupawat, J Yongsawatdigul

Journal: International Journal of Food Microbiology

Year: 2010

Exopolysaccharide-producing lactic acid bacteria strains from traditional Thai fermented foods: isolation, identification and exopolysaccharide characterization

Authors: T Smitinont, C Tansakul, S Tanasupawat, S Keeratipibul, L Navarini, …

Journal: International Journal of Food Microbiology

Year: 1999

Yaoyao Li | Bioinformatics | Best Researcher Award

Assoc. Prof. Dr. Yaoyao Li | Bioinformatics | Best Researcher Award

Xidian University, China

👨‍🎓Profiles

Early Academic Pursuits 🎓

Yaoyao Li, Ph.D., began her academic journey at Xidian University, where she earned her Ph.D. in Computer Science and Technology in June 2020. During her doctoral studies, she focused on computational techniques for analyzing biomolecular data, particularly DNA genome sequences. Her early academic pursuits were marked by a strong foundation in machine learning algorithms, probability theory, and statistical methods applied to bioinformatics. Her work aimed to detect and identify variant sites or fragments within DNA, uncovering patterns with potential biological functions. This laid the groundwork for her future contributions to computational bioinformatics and genomic research.

Professional Endeavors 💼

Following the completion of her Ph.D., Dr. Li worked at Alibaba Group from July 2020 to June 2022. Here, she was responsible for researching user growth algorithms for business-to-business (B2B) applications. Her work contributed to key innovations in user engagement, earning her the Core Innovation Technology Award. This professional experience allowed her to bridge the gap between theoretical research and real-world applications. After her tenure at Alibaba, she continued her academic journey by completing postdoctoral research at Xidian University in June 2024, solidifying her expertise in computational techniques and bioinformatics.

Contributions and Research Focus 🔬

Dr. Li's research is at the intersection of machine learning, computer vision, computational bioinformatics, and cancer genome data mining. Her primary focus is on analyzing biomolecular data to reveal biological insights hidden within DNA sequences. She employs comprehensive machine learning algorithms and probabilistic methods to detect variant sites or identify DNA fragments, helping to uncover biological patterns that may play a role in diseases such as cancer. Dr. Li is particularly passionate about integrating statistical tests with advanced machine learning models to improve accuracy in genome sequence prediction.

Impact and Influence 🌍

Dr. Li's work has had a significant impact on the field of bioinformatics and genomic research. By developing algorithms that can detect variant sites in the DNA genome, her contributions are pivotal in understanding complex genetic diseases, especially cancer. Her research also aids in the development of precision medicine, where targeted therapies can be crafted based on an individual’s genetic makeup. The practical implications of her research extend to biotechnology companies, healthcare providers, and academic institutions focused on genomics.

In addition to her research, Dr. Li's efforts to contribute to the academic community are reflected in her involvement with prestigious journals such as "Digital Signal Processing", "IEEE/ACM Transactions on Computational Biology and Bioinformatics", and "Biomedical Optics Express". Her papers have been widely cited, making her a respected voice in the fields of computational biology and bioinformatics.

Academic Cites and Recognition 📚

Dr. Li’s research has been widely recognized within the academic community. Her contributions to bioinformatics and computational techniques have been cited in major international journals, reinforcing her reputation as a leader in the field. Her publications in well-respected journals, such as IEEE/ACM Transactions on Computational Biology and Biomedical Optics Express, have garnered attention for their innovative approaches to cancer genome data mining and DNA sequence analysis. These citations are a testament to her academic influence and the relevance of her work to both fundamental and applied science.

Technical Skills 🛠️

Dr. Li’s expertise spans several domains of computational science, particularly in the application of machine learning algorithms, probability theory, and statistical methods. She is highly skilled in using these techniques to detect variant sites, identify fragments in DNA genomes, and mine cancer genomic data. Her proficiency with computer vision methods further strengthens her research capabilities, allowing her to work with complex biological data sets. Dr. Li is also adept at leveraging sequence prediction models to enhance the accuracy of her findings.

Teaching Experience 👩‍🏫

Dr. Li has shared her knowledge and expertise through her involvement in teaching and mentoring students. While her focus has been on cutting-edge research, she has also contributed to the academic growth of her students, guiding them through complex topics in bioinformatics, machine learning, and computational biology. Her ability to simplify intricate scientific concepts has made her a respected mentor, and she continues to inspire the next generation of researchers in her field.

Legacy and Future Contributions 🔮

Dr. Li's legacy is one of blending advanced computational techniques with real-world biomedical applications. Her work has already made a substantial impact in the field of genomic research, particularly in cancer genomics, and has the potential to revolutionize how diseases are diagnosed and treated. Looking to the future, she aims to further expand the applications of machine learning in genomic research and bioinformatics, exploring new methods for early detection of genetic diseases. She is also committed to advancing the precision medicine field, ensuring that personalized healthcare strategies are built on robust genomic data analysis.

Final Thoughts 🌟

Dr. Yaoyao Li is a trailblazer in computational bioinformatics, and her research has already had a profound impact on the scientific community. With her expertise in machine learning, bioinformatics, and cancer genomics, she is poised to continue making significant contributions that will not only advance academic knowledge but also improve health outcomes through precision medicine. Her journey is a testament to the power of combining computational technology with biological science to solve some of the most pressing challenges in modern healthcare.

📖Notable Publications

CNV_MCD: Detection of copy number variations based on minimum covariance determinant using next-generation sequencing data

Authors: Li, Y., Yang, F., Xie, K.
Journal: Digital Signal Processing: A Review Journal
Year: 2024

Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer

Authors: Li, Y., Zhang, Y., Yu, Q., He, C., Yuan, X.
Journal: Biomedical Optics Express
Year: 2024

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data

Authors: Yuan, X., Bai, J., Zhang, J., Li, Y., Gao, M.
Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2020

DpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data

Authors: Li, Y., Zhang, J., Yuan, X., Li, J.
Journal: IEEE Access
Year: 2020

BagGMM: Calling copy number variation by bagging multiple Gaussian mixture models from tumor and matched normal next-generation sequencing data

Authors: Li, Y., Zhang, J., Yuan, X.
Journal: Digital Signal Processing: A Review Journal
Year: 2019

SM-RCNV: A statistical method to detect recurrent copy number variations in sequenced samples

Authors: Li, Y., Yuan, X., Zhang, J., Bai, J., Jiang, S.
Journal: Genes and Genomics
Year: 2019

Ruoxuan Sun | Immunogenicity of Biotherapeutics | Best Researcher Award

Dr. Ruoxuan Sun | Immunogenicity of Biotherapeutics | Best Researcher Award

Takeda Pharmaceutical, United States

👨‍🎓Profiles

🎓 Early Academic Pursuits

He began their academic journey at Peking University, earning a Bachelor of Science (B.S.) in Pharmaceutical Sciences. Building upon this foundation, they pursued a Master of Science (M.S.) in the same discipline, demonstrating exceptional research capabilities. Continuing their academic excellence, Sun completed a Ph.D. in Pharmacy at Purdue University, where they delved into groundbreaking studies on immunotherapy and molecular biology.

💼 Professional Endeavors

Currently serving as a Research Senior Scientist at Takeda Pharmaceuticals in Cambridge, MA, He has been with the compan, ascending from Research Scientist I to their present senior role. Their responsibilities include: Anti-drug antibody (ADA) assay development for pre-clinical studies, Innovative wash-free platforms for bioanalysis using NanoBiT and fluorescence polarization strategies, Epitope profiling and immunogenicity risk assessment for novel therapeutic modalities, In silico and in vitro immunogenicity evaluations to assess and mitigate immunogenicity risks in large molecules and biotherapeutics.

🧪 Contributions and Research Focus

His research at Takeda and Purdue University spans a wide array of scientific domains: ADA assay innovations for therapeutic candidates such as antibodies, oligonucleotides, and lipid nanoparticles, Epitope mapping strategies to assess immunogenicity and optimize therapeutic candidates, Post-translational modification regulation of immune receptors, including the identification of FBXL20 as a regulator of 4-1BB, Cancer immunotherapy development, focusing on glycosylation targeting and immunotherapy combinations.

🌍 Impact and Influence

He has significantly influenced the fields of immunogenicity, bioanalysis, and cancer therapy through innovative research and industrial contributions. Their work has informed drug development processes, improved assay platforms, and expanded understanding of immunogenicity risks in preclinical and clinical studies. As a journal reviewer for esteemed publications like Redox Biology and Biomarker Research, Sun has contributed to the dissemination of high-quality research in their field.

📈 Academic Cites and Achievements

During their academic career, Sun authored pivotal publications focusing on the regulation of 4-1BB and cancer immunotherapy. Their impactful work has been recognized within the scientific community, leading to high citation metrics and collaborations with leading researchers.

🛠️ Technical Skills

He possesses a versatile skill set, blending expertise in immunogenicity assessment, molecular and cellular biology, biochemistry, and computational biology. Key proficiencies include: Development and validation of ADA and biomarker assays, Advanced protein purification and molecular cloning techniques, In silico modeling using platforms like Alphafold to predict immunogenicity.

📚 Teaching Experience

As a Graduate Teaching Assistant at Purdue University, He contributed to multiple academic disciplines: Organic Chemistry II Lab, Human Anatomy and Physiology Lab, Immunology, Integrated Pharmacotherapy. Their teaching fostered a new generation of pharmaceutical scientists, emphasizing practical skills and theoretical understanding.

🌟 Legacy and Future Contributions

His pioneering work in immunogenicity risk assessment and bioanalysis platform development has paved the way for safer and more effective therapeutic modalities. Looking ahead, Sun aims to further advance innovations in biotherapeutics, leveraging cutting-edge techniques and computational tools to address emerging challenges in drug development.

📖Notable Publications

  1. Corrigendum to “The antimetastatic effect and underlying mechanisms of thioredoxin reductase inhibitor ethaselen”
    • Authors: Zheng, X., Chen, Y., Bai, M., Sun, R., Zeng, H.
    • Journal: Free Radical Biology and Medicine
    • Year: 2021
  1. Corrigendum to ‘Butaselen prevents hepatocarcinogenesis and progression through inhibiting thioredoxin reductase activity’
    • Authors: Zheng, X., Ma, W., Sun, R., Xu, W., Zeng, H.
    • Journal: Redox Biology
    • Year: 2020
  1. Thioredoxin Reductase as a Novel and Efficient Plasma Biomarker for the Detection of Non-Small Cell Lung Cancer: a Large-scale, Multicenter study
    • Authors: Ye, S., Chen, X., Yao, Y., Shu, Y., Yin, H.
    • Journal: Scientific Reports
    • Year: 2019
  1. The antimetastatic effect and underlying mechanisms of thioredoxin reductase inhibitor ethaselen
    • Authors: Zheng, X., Chen, Y., Bai, M., Sun, R., Zeng, H.
    • Journal: Free Radical Biology and Medicine
    • Year: 2019
  1. Butaselen prevents hepatocarcinogenesis and progression through inhibiting thioredoxin reductase activity
    • Authors: Zheng, X., Ma, W., Sun, R., Xu, W., Zeng, H.
    • Journal: Redox Biology
    • Year: 2018
  1. Synergism between thioredoxin reductase inhibitor ethaselen and sodium selenite in inhibiting proliferation and inducing death of human non-small cell lung cancer cells
    • Authors: Zheng, X., Xu, W., Sun, R., Dong, C., Zeng, H.
    • Journal: Chemico-Biological Interactions
    • Year: 2017
  1. Role of thioredoxin reductase 1 in dysplastic transformation of human breast epithelial cells triggered by chronic oxidative stress
    • Authors: Dong, C., Zhang, L., Sun, R., Zheng, X., Zeng, H.
    • Journal: Scientific Reports
    • Year: 2016
  1. Synergistic inhibition of sunitinib and ethaselen against human colorectal cancer cells proliferation
    • Authors: Zheng, X., Zhang, Y., Zhang, L., Sun, R., Zeng, H.
    • Journal: Biomedicine and Pharmacotherapy
    • Year: 2016

Rashid Jan | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Rashid Jan | Applied Mathematics | Best Researcher Award

Universiti Tenaga Nasional (UNITEN), Malaysia

👨‍🎓Profiles

📚 Early Academic Pursuits

Rashid Jan embarked on his academic journey with a solid foundation in mathematics, earning his MSc in Mathematics from the University of Peshawar, Pakistan. His focus encompassed Numerical Analysis, Computational Methods, Mathematical Modeling, and Complex Analysis. He further honed his expertise by completing an MPhil in Applied Mathematics at the same university, specializing in Boundary Layer Theory, Stability Analysis, and Computational Fluid Dynamics. His thesis, Stability Analysis of Homogenous and Non-homogenous Dynamical Systems on Time Scales, laid the groundwork for his future in advanced mathematical research. He achieved a significant milestone by earning his Ph.D. in Applied Mathematics from Xi’an Jiaotong University, China. His doctoral research, under the supervision of Xiao Yanni, focused on Modeling and Analysis of the Transmission Dynamics of Dengue with Control Strategies, blending mathematical biology, epidemiology, and computational analysis.

💼 Professional Endeavors

His career reflects a seamless blend of teaching, research, and editorial expertise: Assistant Professor: University of Swabi, Pakistan (2021–2022), imparting advanced mathematical concepts to undergraduate and graduate students, Postdoctoral Researcher: Universiti Tenaga Nasional (UNITEN), Malaysia (2023–2024), where he delved into cutting-edge research in applied mathematics and infectious disease modeling, Lecturer: Brains Post Graduate College, Pakistan (2009–2015), fostering a passion for mathematics among aspiring students.

📝 Contributions and Research Focus

He has significantly contributed to mathematical biology, infectious disease epidemiology, and fractional calculus. His areas of expertise include: Mathematical Modeling: Developing models to understand vector-borne diseases, public health issues, and control strategies, Computational Analysis: Employing advanced numerical and statistical techniques for data fitting, parameter estimation, and sensitivity analysis, Fractional Calculus: Applying fractional-order differential equations to real-world problems in epidemiology and physics, Optimal Control: Investigating cost-effective strategies for disease prevention and control.

🌟 Impact and Influence

Through his editorial roles, He has curated groundbreaking research in fractional calculus and its applications. As a guest editor for prestigious journals like Fractals, Demonstratio Mathematica, and the European Physical Journal Special Topics, he has fostered discussions on mathematical innovations addressing real-world challenges. His influence extends to public health, where his models aid in understanding and mitigating infectious diseases.

📖 Academic Citations

His scholarly contributions have earned him recognition in the academic community, with significant citations across peer-reviewed publications. His works, especially in mathematical modeling and epidemiology, have been referenced for advancing theoretical frameworks and practical applications in public health.

🛠️ Technical Skills

He is proficient in an array of mathematical and computational techniques, including: Numerical Methods: Stability analysis, bifurcation, and chaos, Data Analysis: Parameter estimation and Markov Chain Monte Carlo (MCMC) methods, Statistical Tools: Advanced modeling and optimization in stochastic systems.

🎓 Teaching Experience

He has been a dedicated educator, with over a decade of teaching experience. He has mentored undergraduate and postgraduate students in advanced mathematics, fostering a deep understanding of applied mathematics, numerical methods, and computational modeling. His teaching philosophy emphasizes clarity, real-world applications, and nurturing analytical thinking.

🔍 Legacy and Future Contributions

His legacy is marked by his innovative research in mathematical epidemiology and fractional calculus. Moving forward, he is committed to developing advanced mathematical tools for public health, exploring cost-effective disease control strategies, and mentoring the next generation of mathematicians. His work promises to shape interdisciplinary approaches to global health challenges and mathematical innovations.

🚀 Highlights

Editorial Leadership: Spearheaded special issues on fractional calculus and applied sciences, Global Collaborations: Worked with renowned institutions in China and Malaysia, broadening the impact of his research, Research Excellence: Blended mathematical rigor with practical applications in public health and infectious disease management.

📖Notable Publications

Exploring the dynamics of HIV and CD4+ T-cells with non-integer derivatives involving nonsingular and nonlocal kernel
Authors: Shutaywi, M., Shah, Z., Vrinceanu, N., Jan, R., Deebani, W.
Journal: Scientific Reports
Year: 2024

Analytical simulation of Darcy-Forchheimer nanofluid flow over a curved expanding permeable surface
Authors: Rehman, A., Al-Buriahi, M.S., Ali, H.E., Jan, R., Khan, I.A.
Journal: Fluid Dynamics Research
Year: 2024

Maximum principle for partially observed risk-sensitive optimal control problem of McKean–Vlasov FBSDEs involving impulse controls
Authors: Lakhdari, I.E., Djenaihi, Y., Kaouache, R., Boulaaras, S., Jan, R.
Journal: Journal of Pseudo-Differential Operators and Applications
Year: 2024

Global existence and decay of a viscoelastic wave equation with logarithmic source under acoustic, fractional, and nonlinear delay conditions
Authors: Choucha, A., Boulaaras, S., Jan, R., Ahmed, A.H.
Journal: Boundary Value Problems
Year: 2024

Applications of distance measure between dual hesitant fuzzy sets in medical diagnosis and weighted dual hesitant fuzzy sets in making decision
Authors: Boulaaras, S., Mostafa, G.E., Jan, R., Mekawy, I.
Journal: Scientific Reports
Year: 2024

Computation of Thermal Radiative Flux from a Porous Medium by Using Fractal–Fractional Operator
Authors: Garalleh, H.A.L., Ramzan, M., Shafique, A., Nazar, M., Jan, R.
Journal: International Journal of Applied and Computational Mathematics
Year: 2024