Prem Shankar Mishra | Computational Biology | Best Researcher Award

Published on by Molecular Biologist

Prof. Dr. Prem Shankar Mishra | Computational Biology | Best Researcher Award

Professor & Dean | Faculty of Pharmacy | Vidya University | India

Prof. Dr. Prem Shankar Mishra is a distinguished academician, researcher, and administrative leader in the field of Pharmaceutical Sciences. With over 15 years of professional experience, he has excelled in drug design, molecular docking, synthetic chemistry, and formulation development. Currently, he serves as Professor and Dean at Vidya University, Meerut, Uttar Pradesh. Dr. Mishra is known for his dynamic contributions to both academia and research, holding various prestigious positions such as Head of Central Instrumentation Facilities and PCI Inspector. He has published extensively, secured multiple national and international patents, and received significant research grants. His academic leadership extends into accreditations, regulatory affairs, and institutional development. He has received the International Academic Excellence Award 2022 and is widely recognized for his impactful research in anticancer drug discovery, Alzheimer’s therapy, and artificial intelligence applications in pharmacy.

Professional Profile

Education

Dr. Prem Shankar Mishra holds an illustrious academic background that reflects his deep commitment to pharmaceutical sciences. He earned his Ph.D. in Pharmacy, following a Master of Pharmacy (M. Pharm.) in Pharmaceutical Chemistry, and a Bachelor of Pharmacy (B. Pharm.). Complementing his scientific expertise, he also pursued a degree in Law (LLB), making him proficient in legal and regulatory frameworks relevant to the healthcare sector. His academic pursuits are grounded in rigorous research methodologies and an interdisciplinary approach, which integrates drug discovery, analytical chemistry, and legal knowledge. His educational journey empowered him with an extensive understanding of structural elucidation, spectroscopy (IR, NMR, HPLC, UV), and in-silico tools. This solid academic foundation has fueled his ability to contribute to academic excellence, institutional leadership, and cutting-edge scientific research.

Experience

With a professional journey spanning over 15 years, Dr. Mishra has demonstrated excellence in academic instruction, institutional leadership, and research development. He is currently the Dean of the School of Pharmacy at Vidya University, Meerut (since June 2025), and previously served as Professor and Head at Galgotias University (2017-2025). He began his academic career as an Assistant Professor at MIET, Meerut in 2010. His administrative roles include managing NBA and NAAC accreditation processes, leading Central Instrumentation Facilities, and serving as a PCI-approved Inspector. Dr. Mishra is also experienced in ISO certification protocols (ISO 9001:2015, ISO 17025:2017). His visionary leadership is evident in establishing research labs, fostering industry collaborations, and promoting a research-centric academic environment. His dynamic mentoring style and academic initiatives have empowered students and faculty alike, enriching the pharmaceutical education ecosystem.

Research Interests

Dr. Mishra’s research interests lie in drug design, heterocyclic synthesis, anticancer compounds, and pharmaceutical formulation development. His work spans synthetic and natural compounds, structural elucidation, and pharmacological evaluation. Notably, he has conducted extensive research in computer-aided drug design, de novo drug development, and in-vitro/in-vivo biological evaluations including anti-diabetic, anticancer, and antimicrobial assays. He has contributed significantly to the development of herbal formulations, nanoemulgels, biosensors, and mobile healthcare apps. His technical expertise also includes chromatographic method validation (HPLC, HPTLC, LC-MS), cytotoxicity assays (FACS, MTT, ROS generation), and molecular docking simulations. He has received multiple patents in India and abroad, especially in drug delivery and diagnostic device innovation. Dr. Mishra continues to push boundaries in translational pharmaceutical research that bridges laboratory discoveries with clinical applications.

Awards & Honors

Dr. Mishra has been recognized with numerous accolades that celebrate his academic and research excellence. Most notably, he received the International Academic Excellence Award 2022 at the Global Edu-Conclave. He is a recipient of competitive research grants, including Rs. 0.5 lakh each from the Council of Science and Technology (UP) and DRDO for organizing national scientific conferences. His credibility as an innovator is also evidenced by multiple national and international patent grants. Additionally, he holds leadership roles in institutional development, notably as a core team member for NAAC and NBA accreditation. His patents span biosensor technologies, nanoemulgels, anticancer formulations, and healthcare apps. These accomplishments underscore his dedication to innovation, policy, pedagogy, and scientific advancement, earning him a well-regarded status in the pharmaceutical academia and industry.

Top Noted Publications

Dr. Mishra has authored over 35 peer-reviewed publications in reputed international journals, covering diverse areas such as oncology, neurodegeneration, pharmacognosy, and pharmaceutical technology. Selected recent articles include:

1. Comprehensive Review on Alzheimer’s Disease: Natural Therapeutics, Gaps, and Challenges

  • Year: 2025

2. Natural Metabolites as Modulators of Sensing and Signaling Mechanisms: Unlocking Anti-Ovarian Cancer Potential

  • Year: 2025

3. AI-Assisted Immunology for Precision Cancer Medicine

  • Year: 2025

4. In-silico Screening and Synthesis of Benzo[c]Pyridazines Targeting N-Methyl D-Aspartate Glutamate Receptor for the Treatment of Seizures

  • Year: 2025

5. Novel 2-Pyridone Analogs with Anti-Cancer Activity: Synthesis, In silico, and In vitro Evaluation

  • Year: 2024

6. Role of Natural Secondary Metabolites as HIF-1 Inhibitors in Cancer Therapy

  • Year: 2024

Conclusion

Prof. Dr. Prem Shankar Mishra is an exceptionally qualified and highly deserving candidate for the Best Researcher Award. His prolific output in terms of peer-reviewed articles, awarded patents, leadership in pharmaceutical education, and recognized excellence through grants and awards reflect a sustained commitment to impactful research. With minor enhancements in global networking and translational research application, he could further amplify his scholarly legacy. Nonetheless, his current academic and research contributions already place him in the top tier of pharmaceutical science researchers.

Jihwan Ha | Systems Biology | Best Researcher Award

Published on by Molecular Biologist

Prof. Jihwan Ha | Systems Biology | Best Researcher Award 

Assistant Professor, at Pukyong National University, South Korea.

Dr. Jihwan Ha is an accomplished researcher and assistant professor at Pukyong National University, Republic of Korea, specializing in bioinformatics and computational biology. With a passion for harnessing machine learning and deep learning, he focuses on developing advanced algorithms to predict miRNA-disease associations and improve biomedical data analysis. Dr. Ha has contributed to numerous international journals and conferences, earning recognition for his innovative work in bioinformatics. His professional journey includes postdoctoral research at Hawai’i Cancer Center and several faculty roles at Pukyong National University. Beyond academia, Dr. Ha is a reviewer for prestigious journals and a guest editor for special issues in Biomedicines. With a commitment to advancing the field, he inspires the next generation of data scientists through teaching courses on AI, big data, and computational systems. 🌟

Profile 

Scopus

ORCID

Education 🎓

  • Yonsei University, Seoul, Republic of Korea
    Ph.D. in Computer Science, August 2020
    Thesis: “A machine learning approach to predict miRNA-disease associations”
    Dr. Ha’s doctoral work introduced a novel framework for predicting miRNA-disease associations using graph convolutional networks, setting a benchmark in computational biology.
  • Yonsei University, Seoul, Republic of Korea
    M.S. in Computer Science, August 2015
    Building on his undergraduate foundation, he explored advanced data mining techniques, focusing on biomedical applications.
  • Pusan National University, Busan, Republic of Korea
    B.S. in Electronics Engineering, August 2013
    His undergraduate education laid the groundwork for his expertise in bioinformatics, emphasizing electronics and computational systems. 🎉

Experience 💼

  • Assistant Professor, Pukyong National University (2022–Present)
    Leads courses on big data, machine learning, and AI while supervising cutting-edge research in bioinformatics.
  • Postdoctoral Researcher, Hawai’i Cancer Center (2020–2021)
    Conducted advanced research on predictive models for cancer biomarkers, integrating multi-omics data for precision medicine.
  • Assistant Professor, Pukyong National University (2021–2022)
    Developed curriculums for data analysis and mentored students in computational biology projects.

Dr. Ha’s diverse academic and research roles demonstrate his commitment to applying computational tools for solving real-world biological problems. 🌟

Research Interests 🔬

Dr. Ha’s research bridges data science and biomedicine, focusing on:

  • Bioinformatics & Computational Biology: Leveraging AI to analyze biological data.
  • Machine Learning & Deep Learning: Developing predictive models for miRNA-disease associations.
  • Recommender Systems: Applying data mining for personalized medicine.
  • Data Mining: Extracting meaningful patterns from complex datasets.
    He aims to advance bioinformatics tools to facilitate disease diagnosis and treatment optimization. 🌱

Awards 🏆

  • Merit Academic Paper Award, Yonsei University (2020)
    Recognized for exceptional contributions to bioinformatics research.
  • Computer Science Department Scholarship, Yonsei University (2020)
    Awarded for academic excellence during doctoral studies.
  • Academic Scholarship, Pusan National University (2011–2013)
    Earned for maintaining a high GPA throughout undergraduate studies.

Dr. Ha’s achievements reflect his dedication to advancing bioinformatics and academic excellence. 🎖️

Top Noted Publications 📚

Dr. Ha has authored impactful papers in top journals. Selected works include:

  • Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association
    • Journal: Biomedicines
    • Published Year: 2025
    • Details: This paper presents a novel graph convolutional network combined with neural collaborative filtering to predict miRNA-disease associations. It emphasizes enhanced prediction accuracy by integrating graph-based data structures with collaborative filtering mechanisms.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to Biomedicines Paper
  • LncRNA Expression Profile-based Matrix Factorization for Predicting LncRNA-Disease Association
    • Journal: IEEE Access
    • Published Year: 2024
    • Details: This research introduces a matrix factorization approach leveraging LncRNA expression profiles for predicting disease associations. The model demonstrates improved scalability and prediction accuracy.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to IEEE Access Paper
  • Node2vec-based Neural Collaborative Filtering for Predicting miRNA-Disease Association
    • Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
    • Published Year: 2023
    • Details: The paper proposes a method combining Node2vec embeddings with neural collaborative filtering to predict miRNA-disease associations. The approach leverages graph-based features and collaborative learning for enhanced precision.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to IEEE/ACM TCB Paper
  • SMAP: Similarity-based Matrix Factorization Framework for Inferring miRNA-Disease Association
    • Journal: Knowledge-Based Systems
    • Published Year: 2023
    • Details: SMAP employs a similarity-based matrix factorization approach to infer miRNA-disease associations. The paper emphasizes the importance of similarity constraints in improving model performance.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to Knowledge-Based Systems Paper

Conclusion

Dr. Jihwan Ha’s impressive body of work, interdisciplinary expertise, and contributions to bioinformatics and computational biology make him a strong candidate for the “Best Researcher Award.” His innovative application of machine learning to critical healthcare challenges demonstrates both academic excellence and real-world relevance. Addressing clinical impact and expanding his grant portfolio could elevate his profile further, but his current achievements already position him as an exemplary researcher deserving of recognition.

 

Muhammad Zohaib Nawaz | bioinformatics | Best Researcher Award

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Assoc Prof Dr . Muhammad Zohaib Nawaz | bioinformatics | Best Researcher Award 

Associate Professor , Jiangsu University , China .

Muhammad Zohaib Nawaz, Ph.D., is an Associate Professor at Jiangsu University, China, specializing in bioinformatics, environmental microbiology, and computational biology. With extensive experience in biofuels research, he has contributed to advancements in metagenomics and microbial genomics, particularly focused on non-coding RNAs in deep-sea microbes. His interdisciplinary approach bridges bioinformatics and environmental biology.

Profile 

Scopus

Education

🎓 Dr. Nawaz completed his Ph.D. in Biology from Shanghai Jiao Tong University, China, in 2017, focusing on bioinformatics and microbial genomics. He holds an M.S. in Bioinformatics (2011) and a B.S. in Bioinformatics (2009) from Government College University, Faisalabad, Pakistan.

Experience

💼 Dr. Nawaz is currently an Associate Professor at Jiangsu University, China. He has held prestigious postdoctoral fellowships at Xiamen University and Jiangsu University, contributing to significant research in biofuels and microbial genomics. Additionally, he has served as an Assistant Professor at the University of Agriculture, Faisalabad, Pakistan, and a bioinformatics analyst in China.

Research Interests

🔬 His research primarily focuses on environmental microbiology, bioinformatics, microbial genomics, and enzymes of environmental and industrial significance. Dr. Nawaz is an expert in omics and meta-omics analysis, non-coding RNA discovery, and bioinformatics tool development for biological data handling.

Awards

🏆 Dr. Nawaz has received numerous accolades, including the Excellent Postdoctoral Award from Jiangsu Province, China, and was recognized as an Outstanding International Student by the Chinese Government in 2016 and 2017. His academic and research excellence has also earned him prestigious research grants.

Publications

📚 Dr. Nawaz has authored several impactful research papers in high-ranking journals. Below are some of his key publications:

  • Xu, Lingxia, Muhammad Zohaib Nawaz, et al. “Modulating the pH profile of vanillin dehydrogenase enzyme from extremophile Bacillus ligniniphilus L1 through computational guided site-directed mutagenesis.” International Journal of Biological Macromolecules (2024). Cited by 5 articles.
  • Muhammad Zohaib Nawaz, Arslan Tariq, et al. “Genome-wide detection of novel cis-encoded small RNAs in psychrophilic bacterium Psychrobacter aquaticus.” Process Biochemistry (2024). Cited by 3 articles.
  • Taolin Ji, Muhammad Zohaib Nawaz, et al. “Lignin biotransformation: Advances in enzymatic valorization and bioproduction strategies.” Industrial Crops and Products 216 (2024). Cited by 7 articles.
  • Muhammad Zohaib Nawaz, et al. “Synthesis of novel metal silica nanoparticles exhibiting antimicrobial potential and applications to combat periodontitis.” Environmental Research 241 (2024). Cited by 9 articles.
  • Muhammad Zohaib Nawaz, Hafiz Rameez Khalid, et al. “Discovery of putative inhibitors of human Pkd1 enzyme: Molecular docking, dynamics and simulation, QSAR, and MM/GBSA.” Environmental Research (2024). Cited by 4 articles.
  • Muhammad Zohaib Nawaz, et al. “Genomic and biotechnological potential of a novel oil-degrading strain Enterobacter kobei DH7 isolated from petroleum-contaminated soil.” Chemosphere (2023). Cited by 6 articles.

Conclusion

Dr. Muhammad Zohaib Nawaz is an outstanding candidate for the Best Researcher Award, with a solid academic foundation, a track record of impactful publications, and leadership in securing research funding. His expertise in bioinformatics and environmental microbiology has the potential to address global challenges, making him a strong contender. With minor improvements in interdisciplinary expansion and public engagement, Dr. Nawaz could further cement his position as a leading researcher in his field.