Shijia Lu | Medicine | Best Researcher Award

Mr. Shijia Lu | Medicine | Best Researcher Award

Sanquan College of Xinxiang Medical University | China

AUTHOR PROFILE

ORCID ID

🏥MR. SHIJIA LU: ACADEMIC AND PROFESSIONAL PROFILE

🎓EARLY ACADEMIC PURSUITS

Mr. Shijia Lu embarked on his academic journey with a Bachelor’s degree in Biotechnology from Sanquan College of Xinxiang Medical University. Demonstrating early interest in tumor-targeted therapy, he quickly advanced into translational research and academic publishing. His undergraduate years were marked by robust interdisciplinary learning, laying the foundation for integrating bioinformatics, network pharmacology, and molecular simulations in cancer research.

🩺PROFESSIONAL ENDEAVORS

Currently serving as the Associate Editor of Guide to Biomedical Research Tools, Mr. Lu also holds student membership in the Chinese Society for Biotechnology. His roles extend beyond editorial to include project leadership, drug discovery, and computational biology. He has successfully led and contributed to university-level and provincial scientific projects, focusing on innovative strategies to combat cancer resistance.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON MEDICINE

Mr. Lu’s research is centered on tumor-targeted therapies, especially those overcoming PCNA-mediated resistance. Notable among his contributions:

  • Invented the “Structural Coupling – Functional Synergy” strategy, bridging natural product EGCG and synthetic inhibitors for synergistic effects.

  • Designed AL-1/AL-3, novel dual-ligand inhibitors tackling L47V mutation resistance in cancer cells.

  • Engaged in multi-omics-driven screening for anti-cancer components in natural sources such as pomegranate peel.
    His integrative research style blends wet-lab validation with computational simulations (AutoDock Vina, Cytoscape, ESM-Fold), setting a new paradigm in anti-cancer drug design.

🌍IMPACT AND INFLUENCE

Lu’s research has received national-level recognition, influencing the development of next-generation PCNA inhibitors. His PCNA-targeted strategy, featured in In Silico Research in Biomedicine, provides a blueprint for multi-target drug designs. Through editorial and competition platforms, he has advocated bioinformatics integration in biomedical research, inspiring peer groups and junior researchers in China’s academic circuits.

🏆 ACCOLADES AND RECOGNITION

Awards:
🥈 Second Prize, National College Students’ Innovation and Entrepreneurship Competition (Medical Health Category)
🏅 Three national-level research competition awards
🌍 Two provincial-level foreign language translation awards

🏆LEGACY AND FUTURE CONTRIBUTIONS

Mr. Lu’s pioneering research in drug resistance mechanisms, particularly in PCNA-targeted therapy, promises long-term value to precision oncology. His interdisciplinary approach—linking structural biology, network pharmacology, and bioinformatics—will likely influence future drug discovery pipelines, especially for hard-to-treat tumors. He is poised to emerge as a thought leader in the next generation of biomedical researchers.

🧬CONCLUSION

With a dynamic blend of technical mastery, scientific curiosity, and a vision for impact, Mr. Shijia Lu is a rising biomedical innovator. His work addresses one of the greatest challenges in medicine today—anti-cancer drug resistance—while his leadership in academia and publishing continues to foster new frontiers in biotechnology and translational research.

📊🔬NOTABLE PUBLICATION:

Design and anti-drug resistance research of novel PCNA-targeted inhibitors based on network pharmacology and molecular docking

Authors: Shijia Lu; YiRan Zhen; Jinwen Sima; Jinle Wang; Qihao Zhu; Miaoyan Han; Mengdan Sang; Xuejiao Li; Bing Zhang; Zihan Wang; et al.

Journal: In Silico Research in Biomedicine

Year: 2025

Kalim Ullah | Molecular Biology | Best Researcher Award

Dr. Kalim Ullah | Molecular Biology | Best Researcher Award

Ningbo university China | China

Author Profile

ORCID ID

🧬 Dr. Kalim Ullah – Molecular Biologist & Aquaculture Researcher 🐟🔬

Dr. Kalim Ullah is a dedicated researcher with a strong background in molecular biology, genetics, immunology, and aquaculture. His expertise lies in understanding the genetic and cellular mechanisms underlying aquatic species’ development, regeneration, and immune responses.

🎓 Education & Academic Excellence

  • Ph.D. in Aquaculture – Ningbo University, China
    Focus: Genetics, Molecular Biology & Immunology (CGPA: 3.75/4.00)
  • M.Phil. in Zoology – PMAS-Arid Agriculture University, Pakistan
    Focus: Aquaculture & Fisheries (CGPA: 3.68/4.00)
  • BS (Hons) in Zoology – University of Peshawar, Pakistan
    Focus: Aquaculture & Fisheries (CGPA: 3.6/4.0)
  • Higher Secondary & Secondary Education – Pakistan

🔬 Research Interests

✔ Molecular Biology
✔ Genetics
✔ Cell Biology & Immunology

🧪 Research Projects

📌 Ph.D.: Comparative transcriptome analysis & epigenetic profiling in silver pomfret caudal fin regeneration.
📌 M.Phil.: Effect of stocking density on growth performance of Indus Mahseer (Tor Maccrolepis).
📌 BS: Utilization of poultry farm waste as a protein and energy source in Labeo rohita diets.

💻 Technical Skills

🖥 Computer Skills: MS Office | Excel | SPSS | R (Data Analysis) | GraphPad Prism
🧬 Lab Skills: Cell Culture | qPCR & RT-PCR | Western Blotting | Genome Sequencing | Transcriptomics & Proteomics | Dual Luciferase Reporter Assay | TEM | In-Situ Hybridization
🗣 Languages: English | Urdu | Chinese (HSK-3)

Dr. Kalim Ullah continues to push the boundaries of genetics, aquaculture, and immunology, contributing valuable insights to the scientific community. 🚀🔬🐠

🏆 CONCLUSION

Dr. Kalim Ullah is a passionate and accomplished researcher at the intersection of molecular biology, genetics, immunology, and aquaculture. With a strong academic background, hands-on laboratory expertise, and a keen interest in advanced genetic and cellular studies, he is dedicated to driving scientific progress in aquatic species research, regenerative biology, and immune system studies. His contributions to transcriptomics, proteomics, and genome analysis highlight his ability to tackle complex biological challenges.

 

📊🔬NOTABLE PUBLICATION:
  1. Title: Target miRNA identification for the LPL gene in large yellow croaker (Larimichthys crocea)
    Authors: Kalim Ullah; Aslam Hossain; Mingyue Cao; Liangyi Xue; Yajun Wang
    Journal: Scientific Reports
    Year: 2025

 

  1. Title: Teleost Caudal Fin Development and Regeneration: Mechanisms, Models, and Therapeutic Potential
    Authors: Kalim Ullah, Rakhshanda Rani, Fouzia Shaheen, Faisal Tasleem
    Journal: Asian Journal of Fisheries and Aquatic Research
    Year: 2024

Satish Mahadevan Srinivasan | Bioinformatics | Best Researcher Award

Dr. Satish Mahadevan Srinivasan | Bioinformatics | Best Researcher Award

Penn State Great | United States

AUTHOR PROFILE

Scopus

Scholar

Orcid ID

 

EARLY ACADEMIC PURSUITS

Satish Mahadevan Srinivasan began his academic journey with a Bachelor's degree in Information Technology from Bharathidasan University, Tiruchirappalli, Tamil Nadu, India, in May 2001. He further pursued a Master's degree in Industrial Engineering and Management from the Indian Institute of Technology (IIT), Kharagpur, in February 2005. His educational journey culminated with a Ph.D. in Information Technology from the University of Nebraska at Omaha in May 2010, where he specialized in Statistics, Data Mining, Computer and Information Science. His Ph.D. thesis focused on "Data Aggregation in Multi-Agent Systems in the Presence of Hybrid Faults."

PROFESSIONAL ENDEAVORS

Dr. Srinivasan's professional career commenced as a Junior Project Assistant at IIT Kharagpur, where he later became a Senior Project Assistant. He transitioned into academia and research with a Graduate Assistant role at the University of Nebraska at Omaha from August 2005 to December 2009. After completing his Ph.D., he served as a Postdoctoral Research Assistant at the University of Nebraska at Omaha and subsequently at the University of Nebraska Medical Center. His professional journey progressed at Penn State Great Valley (PSGV), where he started as a Tenure-track Assistant Professor in September 2013 and later became a Tenured Associate Professor in August 2019.

CONTRIBUTIONS AND RESEARCH FOCUS ON BIOINFORMATICS

Dr. Srinivasan has made significant contributions to various fields, including data mining, predictive analytics, machine learning, artificial intelligence, cybersecurity, software engineering, bioinformatics, and distributed computing. His notable research includes:

  • Protein Sequence Classification: Developed methods to identify class-specific motifs using n-grams, contributing to the understanding of sequence landscapes.
  • Metagenomic Study: Created MetaID, a tool for taxonomic and phylogenetic analysis of microbial communities, achieving near 99% accuracy in microbe identification.
  • Program Transformation: Developed Monarch, a tool for migrating Java source code to restricted JVMs used in embedded systems.

IMPACT AND INFLUENCE

Dr. Srinivasan's research has had a profound impact on various scientific domains. His work on protein sequence classification and metagenomic studies has advanced the fields of bioinformatics and genomics. The tools and methodologies he developed have been published in reputable journals like BMC Bioinformatics and BMC Genomics, reflecting their significance and influence.

ACADEMIC CITES

Dr. Srinivasan's scholarly work has been widely cited in academic literature, demonstrating the relevance and applicability of his research. His publications serve as valuable resources for researchers and practitioners in the fields of data mining, bioinformatics, and computational biology.

LEGACY AND FUTURE CONTRIBUTIONS

As a tenured associate professor, Dr. Srinivasan continues to mentor students and conduct cutting-edge research. His future contributions are likely to further the understanding and application of data mining, machine learning, and bioinformatics. His legacy is marked by his dedication to advancing knowledge and solving complex problems through interdisciplinary research.

NOTABLE PUBLICATION: