Rishabh Gupta | Pharmacology | Young Scientist Award

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Mr. Rishabh Gupta | Pharmacology
| Young Scientist Award

Jagannath University, Jaipur | India

Mr. Rishabh Gupta’s research focuses on advancing pharmaceutical sciences through innovative drug formulation and delivery approaches, emphasizing the use of advanced analytical and instrumental techniques such as UV-spectrophotometry, dissolution apparatus, and rotavapour for precision-based pharmaceutical analysis. His ongoing doctoral research in pharmaceutical sciences explores novel strategies for optimizing drug solubility, stability, and bioavailability to enhance therapeutic outcomes. With a strong foundation in pharmaceutics, he contributes to preclinical and formulation development studies involving animal handling, dosing, and pharmacokinetic analysis, ensuring translational relevance between laboratory findings and clinical applications. His academic engagement extends to guiding research projects on innovative dosage forms, controlled drug delivery systems, and evaluation methodologies that address current challenges in the pharmaceutical industry. Through a multidisciplinary approach combining formulation science, analytical validation, and data-driven interpretation using computational tools like MS Excel, Rishabh Gupta strives to integrate scientific rigor with practical application. His work also aligns with contemporary pharmaceutical research trends, such as the development of patient-centric formulations, biopharmaceutical characterization, and regulatory compliance in drug development. By bridging academic research and applied pharmaceutical innovation, his contributions aim to strengthen evidence-based practices and foster advancements in drug formulation science for improved patient care and therapeutic efficacy.

Featured Publications

Pal, R., Pandey, P., Jha, D., Dutta, P., Sahoo, S., Gupta, R., Rizwan, M., et al. (2023). The utilization of full factorial design (FFD) for optimization of lincomycin hydrochloride (LNH) loaded nanogel involving design of experiments (DoE) and evaluation parameters. Advances in Research on Teaching, 24(6), 272–281.

 Gupta, R., & Singhal, M. (2022). Transferosomes as an efficient carrier system for better therapeutic response of targeted drug delivery system. Research Journal of Pharmacy and Technology, 15(2), 913–920.

 Gupta, R., Dhiman, S., Agrawal, C., Sharma, S., & Singh, T. G. (2024). Formulation and evaluation of nateglinide-loaded nanostructured lipid carriers for sustained release. AIP Conference Proceedings, 3209(1), 060022. https://doi.org/10.1063/5.0212345 (Add DOI if available)

Gupta, R., Pal, R., Ghosh, B., Sharma, S., Himanshi, J., & Sharma, S. (2025). Chapter 10: Regulatory, ethical and current status (clinical trials & patents) in nano-brain drug delivery. In Nano-Brain Revolution in Alzheimer’s Disease – A New Era of Brain Drug Delivery (pp. [insert pages if known]).

Syed Luqman Ali | Drug Design | Best Researcher Award

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Mr. Syed Luqman Ali | Drug Design | Best Researcher Award

Researcher, Abdul Wali Khan University Mardan KPK Pakistan, Pakistan

Mr. Syed Luqman Ali is an enthusiastic researcher specializing in bioinformatics, computational biology, vaccine design, cancer, and drug development. Currently pursuing an MPhil in Biochemistry at Abdul Wali Khan University Mardan (2025), he has published extensively on vaccine and drug design using advanced computational techniques like RNA-seq, molecular docking, and simulation. Mr. Ali is a skilled reviewer for several high-impact journals and a lecturer at Metanoia College of Nursing. With expertise in bioinformatics tools and programming languages, he is committed to advancing scientific knowledge in vaccine and drug research.

Publication Profile

Google scholar

Education

Mr. Syed Luqman Ali is currently pursuing his MPhil in Biochemistry at Abdul Wali Khan University Mardan, Pakistan, with an expected graduation in 2025. He completed his Bachelor’s degree in Biochemistry from the same institution in 2022, laying the foundation for his research career. Additionally, he holds a Diploma in Digital Information Technology from the Board of Technical Education Peshawar, Pakistan, earned in 2021. This diverse educational background has equipped him with a strong interdisciplinary skill set, combining biochemistry, digital technology, and computational biology for cutting-edge research.

Research Experience

Mr. Syed Luqman Ali has been an Experimental and Computational Researcher at Abdul Wali Khan University Mardan since 2019. His research focuses on vaccine and drug design, utilizing advanced computational techniques like RNA-seq analysis, molecular docking, and simulation. With extensive experience in leading bioinformatics databases such as KEGG, MetaCyc, and HADDOCK, Mr. Ali is proficient in tools like SnapGene, Cytoscape, and DAVID. His work contributes to the development of innovative vaccines and drug therapies, advancing scientific knowledge in bioinformatics and computational biology.

Technical Certifications

Mr. Syed Luqman Ali has acquired several technical certifications that complement his research expertise. He completed a Data Analysis with R program through Mindluster, enhancing his data analysis skills. Additionally, he has obtained certifications in Data Analysis with Python and Linux from Udemy, further strengthening his computational abilities. Mr. Ali also completed a Content Writing course through the DigiSkills Training Program from Virtual University, Lahore, improving his communication and writing skills for scientific documentation. These certifications underscore his commitment to continuous learning and professional development in bioinformatics and computational biology.

Awards and Achievements

Mr. Syed Luqman Ali has made significant contributions to the scientific community, with multiple publications in high-impact journals, showcasing his research prowess in bioinformatics and computational biology. His work has been recognized by peers and researchers worldwide. Additionally, Mr. Ali serves as a reviewer for several reputed scientific journals, contributing his expertise to the advancement of research. These achievements reflect his dedication to scientific excellence and his active role in shaping future advancements in his field. 📚🖋️🔬

Research Focus

Mr. Syed Luqman Ali’s research spans multiple bioinformatics and computational biology domains, particularly in vaccine and drug design, cancer immunology, and genomics. His work includes multi-epitope vaccine development using immunoinformatics and reverse vaccinology approaches, along with genomic annotation for vaccine target identification. He has contributed significantly to disease diagnostics and drug discovery, especially in areas like tuberculosis, SARS-CoV-2, Leishmania, and autoimmune disorders. His expertise also extends to advanced data analysis, molecular docking, and RNA-seq analysis, employing tools like KEGG, MetaCyc, and HADDOCK. 🧬💻💉

Publication Top Notes

  • Mutational screening of GDAP1 in dysphonia associated with Charcot-Marie-Tooth disease: clinical insights and phenotypic effects
    Cited by: 20
    Year: 2023
  • Vaccinomics-based next-generation multi-epitope chimeric vaccine models prediction against Leishmania tropica – a hierarchical subtractive proteomics and …
    Cited by: 15
    Year: 2023
  • Genomic annotation for vaccine target identification and immunoinformatics-guided multi-epitope-based vaccine design against Songling virus through screening its whole genome …
    Cited by: 12
    Year: 2023
  • Currently trending and futuristic biological modalities in the management of different types of diabetes: A comprehensive review
    Cited by: 9
    Year: 2023
  • Analysis of the capability of IgG antibodies and receptors with their relationships to food tolerance and autoimmune disorders
    Cited by: 6
    Year: 2023
  • Illuminating the Frontier of Drug Discovery: Unleashing the Power of Bioinformatics for Unprecedented Breakthroughs
    Cited by: 4
    Year: 2023
  • Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate
    Cited by: 1
    Year: 2024
  • Genetic identification and determination of parasites (Babesia, Leptospira and Toxoplasma Gondi) in wild rats
    Cited by: 1
    Year: 2024
  • Placental histology for targeted risk assessment of recurrent spontaneous preterm birth
    Cited by: 1
    Year: 2024
  • Harnessing bioinformatics for the development of a promising multi-epitope vaccine against tuberculosis: The ZL9810L vaccine
    Cited by: 1
    Year: 2024
  • Promising vaccine models against astrovirus MLB2 using integrated vaccinomics and immunoinformatics approaches
    Cited by: 1
    Year: 2024
  • Multi-epitope-based vaccine models prioritization against Astrovirus MLB1 using immunoinformatics and reverse vaccinology approaches
    Cited by: 1
    Year: 2025
  • Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2
    Cited by: 1
    Year: 2024
  • A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis
    Cited by: –
    Year: 2024
Conclusion

Mr. Ali’s solid academic background, innovative research contributions, advanced technical skills, and role as a mentor, he is undoubtedly a strong candidate for the Research for Best Researcher Award. His work in bioinformatics, drug design, vaccine development, and cancer research showcases his dedication to advancing scientific knowledge and making a global impact.

 

 

 

 

 

 

Naima Faghmous | Pharmaceutical Science | Best Scholar Award

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Assist. Prof. Dr Naima Faghmous | Pharmaceutical Science | Best Scholar Award

Lecturer at Polytechnic School of Constantine, Algeria

Naima Faghmous, born on July 13, 1979, in Collo, Algeria, is an accomplished researcher and educator in pharmaceutical engineering. She serves as an Associate Professor at the National Polytechnic School of Constantine, specializing in Process Engineering with a focus on pharmaceutical applications. Naima has a strong academic foundation, extensive research contributions, and significant teaching experience. She is married with two children and actively involved in scientific projects, including her membership in the Research Laboratory for Process Engineering for Sustainable Development and Health Products. With numerous scientific publications, international communications, and supervisory roles, she stands out as a promising scholar dedicated to advancing pharmaceutical technology.

Professional Profile

Education

Naima holds a Doctorate in Process Engineering (Pharmaceutical Engineering) from Mentouri University of Constantine (2021). She earned a Master’s in Process Engineering (Pharmaceutical Technology) from the University of Science and Technology Houari Boumediene (2011) and a State Engineering degree in Pharmaceutical Process Engineering from M’Hamed Bougara University (2003). She also holds a Baccalaureate in Natural Sciences and Life (1997). Her academic journey reflects her deep commitment to excellence in pharmaceutical engineering and process optimization.

Professional Experience

Naima’s career spans over two decades, beginning as an Analyst Engineer at SAIDAL Complex in Algiers (2005–2011) and Constantine (2012–2013). Since December 2013, she has served as a Research Teacher at the National Polytechnic School of Constantine, where she focuses on teaching, research, and supervising engineering and master’s theses. Her professional expertise bridges pharmaceutical processes, formulation development, and practical applications in the pharmaceutical industry, emphasizing innovative techniques for drug delivery.

Research Interests

Naima’s research interests center on pharmaceutical engineering, including drug encapsulation, nanoencapsulation, and formulation optimization. She explores innovative methods such as polyelectrolyte complexes, ionotropic gelation, and double emulsion techniques for improving drug delivery systems. Her focus on enhancing oral insulin bioavailability and optimizing pharmaceutical processes underscores her dedication to solving real-world challenges in drug formulation and delivery.

Research Skills

Naima’s research skills encompass a range of advanced techniques, including nanoencapsulation, spray drying optimization, and chromatographic analysis. She is proficient in Box-Behnken design for process optimization and has expertise in the synthesis and characterization of drug delivery systems, particularly hydrogels and emulsions. Her ability to integrate experimental design with practical pharmaceutical applications highlights her innovative approach to research.

Awards and Honors

While specific awards are not mentioned, Naima’s extensive contributions to pharmaceutical engineering and her active involvement in national and international scientific projects underscore her recognition in the academic and research community. Her publications in high-impact journals and presentations at esteemed conferences reflect her commitment to excellence and innovation in her field.

Conclusion

Naima Faghmous is a dedicated scholar and educator whose work significantly contributes to pharmaceutical engineering. With her strong academic foundation, extensive teaching experience, and innovative research, she exemplifies the qualities of a leading researcher. Her commitment to advancing drug delivery systems and fostering academic growth positions her as a worthy candidate for the Research for Best Scholar Award.

Publication Top Notes

  • Title: Optimization of spray drying process conditions for producing insulin-loaded alginate/chitosan polyelectrolyte complexes
    • Authors: Faghmous, N., Bouzid, D., Ammouchi, H., Boukellal, B., Boyron, O.
    • Year: 2025
    • Journal: Drying Technology
  • Title: Multiple regression and group method of data handling-based models for predicting arsenic concentration in sedimentary phosphate rock
    • Authors: Dassamiour, M., Samai, D., Faghmous, N., Boustila, R.
    • Year: 2024
    • Journal: International Journal of Environmental Science and Technology (21(9), pp. 6531–6552)
  • Title: Optimization of chitosan-coated W/O/W multiple emulsion stabilized with Span 80 and Tween 80 using Box–Behnken design
    • Authors: Faghmous, N., Bouzid, D., Boumaza, M., Touati, A., Boyron, O.
    • Citations: 15
    • Year: 2021
    • Journal: Journal of Dispersion Science and Technology (42(10), pp. 1566–1578)