Assoc. Prof. Dr. Hong Chen | Reproductive Endocrinology | Best Researcher Award 

Posted on by Computational Biologists

Assoc. Prof. Dr. Hong Chen | Reproductive Endocrinology | Best Researcher Award 

Northwest A&F University, China

Profile

Orcid

🎓 Early Academic Pursuits

Dr. Hong Chen embarked on an impressive academic journey rooted in veterinary and agricultural sciences. He earned his Doctor of Agronomy in Basic Veterinary Medicine from the College of Veterinary Medicine, Nanjing Agricultural University, one of China’s most prestigious agricultural institutions, between September 2014 and June 2019. During this period, Dr. Chen built a strong foundation in animal physiology, reproductive biology, and molecular endocrinology, focusing particularly on the mechanisms that govern animal fertility and hormone regulation. His doctoral research involved exploring cellular and molecular mechanisms influencing reproductive health, providing him with advanced expertise that continues to shape his research today.

Dr. Chen’s academic training not only emphasized scientific rigor but also encouraged interdisciplinary approaches, combining molecular biology, endocrinology, and animal science. This academic background prepared him for a dynamic research career centered around understanding the intricate biological systems that control reproductive functions in animals

🧑‍🔬 Professional Endeavors

Currently, Dr. Hong Chen serves as an Associate Professor at the College of Veterinary Medicine, Northwest A&F University, where he is actively involved in both teaching and research. His teaching responsibilities include guiding undergraduate and postgraduate students in veterinary anatomy, reproductive endocrinology, and related fields. As a dedicated educator, he fosters scientific curiosity and critical thinking, ensuring that his students develop a robust understanding of the physiological and cellular mechanisms underlying animal reproduction.

In addition to his teaching duties, Dr. Chen has successfully led and participated in five major research projects, reflecting his continuous engagement in advancing the frontiers of reproductive biology. His projects often integrate experimental biology with analytical techniques, offering new insights into the role of cellular processes such as autophagy and apoptosis in endocrine regulation. He has also participated in three consultancy or industry-sponsored projects, strengthening the translational application of his research to practical animal husbandry and veterinary medicine.

🔬 Contributions and Research Focus

Dr. Chen’s primary research focus lies in animal reproductive endocrinology, autophagy, and cell death mechanisms. His research investigates how these cellular processes influence the synthesis and regulation of hormones, particularly testosterone, in Leydig cells—the principal cells responsible for androgen production in male animals.

One of his most significant research contributions revealed that Leydig cells of dairy goats exhibit distinct morphological characteristics at different developmental stages, influencing testosterone synthesis. His work uncovered how autophagy and organelle interactions, especially between lipid droplets and mitochondria, play essential roles in maintaining optimal testosterone levels.

This discovery was notably published in the article “Lipid droplets–mitochondria interaction involved in testosterone synthesis in Leydig cells of dairy goats (Capra hircus)”, available via ScienceDirect. The study highlighted novel cellular interactions crucial for hormone production, providing valuable insights into mammalian reproductive biology and potential clinical applications in treating reproductive disorders.

With 12 published journal articles, many indexed in SCI and Scopus, and an h-index of 16 (ResearchGate), Dr. Chen’s research continues to contribute to the growing body of knowledge in molecular and reproductive veterinary science.

🏆 Accolades and Recognition

Dr. Hong Chen’s scientific achievements have earned him recognition within academic and professional circles. As an active member of the Animal Anatomy, Histology, and Embryology Section of the Chinese Association of Animal Science and Veterinary Medicine (CAAV), he plays a role in advancing veterinary research and education in China.

His consistent research productivity and contributions to animal reproductive science have positioned him as a respected figure among peers in veterinary endocrinology. The Computational Biologists Awards platform recognizes his significant contribution to understanding molecular mechanisms governing reproductive function—an area critical for both animal and human health advancements.

🌍 Impact and Influence

Dr. Chen’s research has far-reaching implications for animal health, livestock breeding efficiency, and endocrinological therapy development. By elucidating how cellular interactions regulate hormone production, his findings contribute to improving reproductive performance and fertility management in livestock. Moreover, his insights into autophagy and organelle communication extend beyond veterinary applications, offering parallels in human endocrinology and metabolic research.

Through his mentorship of young researchers and students, Dr. Chen fosters a new generation of scientists equipped with modern techniques and an integrative understanding of biological systems. His commitment to rigorous research and innovative inquiry has made him an influential voice in reproductive biology and veterinary endocrinology.

🚀 Legacy and Future Contributions

Looking ahead, Dr. Hong Chen is poised to continue making substantial contributions to the field of reproductive biology. His future research aims to deepen the understanding of cellular communication in hormone-producing tissues, explore molecular pathways of autophagy, and identify potential therapeutic targets to improve reproductive efficiency in animals.

As biotechnology and computational biology increasingly intersect with traditional veterinary sciences, Dr. Chen’s interdisciplinary expertise positions him at the forefront of next-generation reproductive research. His dedication to uncovering the cellular secrets of life ensures that his work will continue to inspire innovations in both scientific research and practical veterinary applications.

✍️ Notable Publication

Exposure of zebrafish to a cold environment triggered cellular autophagy in zebrafish liver

Authors: Hong Chen; Fange Zhao; Kexing Chen; Yihan Guo; Yue Liang; Huiying Zhao; Shulin Chen

Journal: Journal of Fish Diseases

Publication Date: July 2022

Macroautophagy involved in testosterone synthesis in Leydig cells of male dairy goat (Capra hircus)

Authors: Hong Chen; Kexing Chen; Fange Zhao; Yihan Guo; Yue Liang; Zhengrong Wang; Tengfei Liu; Shulin Chen

Journal: Theriogenology

Publication Date: March 2022

Macroautophagy involved in testosterone synthesis in Leydig cells of male dairy goats (Capra hircus) (Preprint Version)

Authors: Hong Chen; Kexin Chen; Fange Zhao; Yihan Guo; Yue Liang; Zhengrong Wang; Tengfei Liu; Shulin Chen

Publication Date: June 2021

Genome‐wide analysis of Toll‐like receptors in zebrafish and the effect of rearing temperature on the receptors in response to stimulated pathogen infection

Authors: Hong Chen; Yue Liang; Yawen Han; Tengfei Liu; Shulin Chen

Journal: Journal of Fish Diseases

Publication Date: March 2021

Prof. Gabriella Punziano | Biological Data Science | Best Researcher Award 

Posted on by Computational Biologists

Prof. Gabriella Punziano | Biological Data Science | Best Researcher Award 

University of Naples Federico II, Italy.

Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Gabriella Punziano’s academic foundation is deeply rooted in the rigorous study of Sociology and Social Research, culminating in a Ph.D. that shaped her future as one of Italy’s leading sociological thinkers. Her educational journey focused on the critical intersections of social epistemology, methodological design, and cultural transformation, enabling her to bridge classical sociological frameworks with modern digital contexts. This academic training provided the methodological precision and analytical perspective that later defined her scholarly approach. Over the years, she has mastered the art of combining qualitative and quantitative research—a synthesis that reflects her early fascination with the evolving nature of social inquiry in the digital age.

🏛️ Professional Endeavors

Currently serving as an Associate Professor of General Sociology (SPS/07) at the University of Naples Federico II, Gabriella Punziano’s academic career is distinguished by dynamic teaching, pioneering research, and active participation in multiple national and international collaborations. Since November 2022, she has been instrumental in developing innovative courses across bachelor’s and master’s programs in Public, Social, and Political Communication as well as Digital Sociology and Web Analysis.

Her work extends far beyond the classroom—she is a member of the Scientific Council for the inter-university Master’s Program METARS (Methodology and Advanced Techniques for Social Research), involving major universities such as Milan Bicocca, Rome La Sapienza, and Genoa. Additionally, she contributes as a member of the Doctoral College in Social Sciences and Statistics, nurturing the next generation of researchers. Punziano’s leadership roles, including her tenure as Quality Manager of the GRIE Review Group and Secretary of the Methodology Section of the Italian Sociology Association (AIS), demonstrate her administrative excellence and organizational influence in Italy’s sociological landscape.

🔬 Contributions and Research Focus

Gabriella Punziano’s research expertise is remarkably interdisciplinary, merging sociological theory, digital culture, and methodological innovation. Her studies delve into:

  • Epistemological and methodological developments in social sciences

  • Welfare systems and local development strategies

  • Network communication and algorithmic culture

  • Mixed methods and data-driven research designs

As Local Unit Manager for the PRIN 2022 project “Algofeed”, she leads investigations into how algorithmic feedback influences digital consumption patterns—a cutting-edge topic that explores the intersection of sociology, data science, and digital ethics. Similarly, her earlier project NORISC-19, funded by the University of Naples, examined the social impact of COVID-19 on third-sector organizations, highlighting her commitment to socially relevant research.

Beyond her institutional research, Punziano has been involved in projects commissioned by regional governments, such as the Friuli Venezia Giulia study on demographic regression and family choices, contributing valuable insights into social policy and family welfare systems. Her contributions to methodological education are evident through her numerous workshops and seminars on mixed-methods research and digital social science, equipping students and professionals alike with advanced analytical skills.

🏆 Accolades and Recognition

Dr. Punziano’s scholarly excellence is underscored by her National Scientific Qualification (First Band, Sector 14/C1), valid from 2023 to 2033, affirming her as a leading academic in General Sociology. Her dedication to academic collaboration and methodological rigor earned her roles such as Visiting Researcher at Northumbria University (Newcastle) and Editor-in-Chief of the Asian Review of Social Sciences (Tamil Nadu, India). These recognitions reflect her growing influence on the global stage.

Her publications, including works like “Le Parole della Fede” (Franco Angeli, 2020) and contributions to the Enciclopedia Sociologica dei Luoghi, showcase her intellectual depth and her ability to translate complex social phenomena into coherent analytical frameworks.

🌍 Impact and Influence

Gabriella Punziano’s work has profoundly impacted how sociologists approach digitalization, communication processes, and the evolving social fabric in contemporary societies. Her integration of digital tools with sociological research methods represents a transformative shift toward computational social science in Italy. Through her teaching and mentoring, she has cultivated a generation of scholars who approach research with methodological sophistication and ethical sensitivity.

As a thought leader in social methodology, her research challenges traditional paradigms, advocating for multi-method and integrative approaches that respond to the analytical challenges of the data-rich 21st century. Her collaborations with European and international networks further reinforce her role as a bridge between Italian sociology and global research trends.

🚀 Legacy and Future Contributions

Looking forward, Gabriella Punziano’s legacy lies in her unwavering commitment to advancing methodological pluralism and enhancing the scientific rigor of social research. Her upcoming contributions, particularly within algorithmic society studies and digital sociology, promise to redefine how social researchers interpret human behavior in technologically mediated environments.

Through her mentorship, leadership, and innovative research designs, she continues to inspire the academic community to pursue ethical, data-driven, and socially responsive research. With an enduring passion for inquiry and innovation, Gabriella Punziano stands as a beacon of excellence in contemporary sociology, shaping not only the present but also the future of social science research.

📚 Selected Publications 

Padricelli, G. M., & Punziano, G. (2023).
Ethnography and the digital scenario: a typological scheme of differences and evolutionary trajectories.
Frontiers in Sociology, 8.

Punziano, G., Cicellin, M., Zito, E., Acampa, S., & Sorrentino, R. (2023).
Role of the digital for the Third Sector in the Campania region (Italy): From the side of research to the side of the objects in the aftermath of the COVID-19 pandemic.
Italian Sociological Review, 13(2), 279–296.

Addeo, F., Delli Paoli, A., Punziano, G., Ragnedda, M., Ruiu, M. L., & D’Auria, V. (2023).
Measuring Digital Capital in Italy.
Frontiers in Sociology, 8.

Punziano, G., De Falco, C. C., & Trezza, D. (2023).
Digital Mixed Content Analysis for the Study of Digital Platform Social Data: An Illustration from the Analysis of COVID-19 Risk Perception in the Italian Twittersphere.
Journal of Mixed Methods Research, 17(2), 143–170.

Punziano, G., Marrazzo, F., & Acampa, S. (2023).
La campagna per il Referendum Costituzionale 2020 e la comunicazione antipopulista su Facebook: un’applicazione di Content Analysis dagli esordi accademici del primo Crowdtangle.
Cambio. Rivista sulle trasformazioni sociali, 13(25), 249–263.

Neftalí Ochoa-Alejo | RNA-Seq Data Analysis | Outstanding Scientist Award

Posted on by Computational Biologists

Prof. Dr. Neftalí Ochoa-Alejo | RNA-Seq Data Analysis | Outstanding Scientist Award

Professor Investigador at Cinvestav-Unidad Irapuato, Mexico

Dr. Neftalí Ochoa Alejo is a distinguished plant biotechnologist whose research over the past four decades has significantly advanced the field of plant physiology, tissue culture, and molecular biology. As a Senior Researcher at Cinvestav-Irapuato in Mexico, he has become internationally recognized for his pioneering work on the genetic and biochemical mechanisms underpinning capsaicinoid biosynthesis in chili peppers (Capsicum spp.), among other species. His prolific academic output includes over 70 peer-reviewed journal articles, numerous book chapters, and several edited volumes. Through leadership, editorial roles, and mentorship, Dr. Ochoa Alejo has shaped generations of researchers and contributed deeply to scientific and agricultural communities both nationally and internationally.

Profile

ORCID

Education

Dr. Ochoa Alejo earned his Ph.D. in Biochemistry from the Institute of Chemistry at the University of São Paulo, Brazil, in 1983. He holds a Master’s degree in Soil and Plant Nutrition from the same university’s Escola Superior de Agricultura “Luiz de Queiroz” (1981), and a Bachelor’s degree in Chemical Bacteriology and Parasitology from the National School of Biological Sciences, IPN, Mexico City (1977). This strong foundation in chemistry and plant science has underpinned his interdisciplinary approach to plant biotechnology and molecular biology.

Experience

His career spans both research and academic leadership, with roles including full-time researcher, department head, and academic coordinator. Dr. Ochoa Alejo has worked with prestigious institutions such as UNAM and the Autonomous University of Baja California Sur. Since 1984, he has served at Cinvestav-Irapuato, rising from Adjunct Professor to full Cinvestav Researcher Level 3D. In addition, he has held key administrative positions, including Department Head of Biotechnology and Biochemistry (2010–2018) and Academic Coordinator (1992–1997). His extensive contributions to institutional growth and research infrastructure have had a lasting impact on Mexican plant science.

Research Interest

Dr. Ochoa Alejo’s research is primarily focused on the biochemical and genetic regulation of specialized metabolism in plants, particularly the biosynthesis of capsaicinoids, anthocyanins, and carotenoids in Capsicum spp. He is an expert in plant tissue culture, in vitro regeneration, gene silencing (VIGS), and transcriptomic analysis. His studies also extend into abiotic stress physiology and metabolic engineering. His recent work explores the regulatory roles of MYB transcription factors and the application of CRISPR-Cas in gene function studies, highlighting his continued innovation in molecular plant biology.

Awards

Dr. Ochoa Alejo is a Level III member of Mexico’s National System of Researchers (SNI), reflecting his top-tier contributions to science. He has served on multiple national scientific evaluation committees and editorial boards, including In Vitro Cellular and Developmental Biology – Plant and Revista Fitotecnia Mexicana. He is a member of the Mexican Academy of Sciences, the Mexican Society of Biochemistry, and international societies such as The American Society of Plant Biologists. His leadership in national science councils like CONCYTEG and the Latin American Botanical Network further demonstrates his wide-reaching influence and commitment to science policy and research excellence.

Publications

Among his numerous scientific contributions, seven of his most cited works include:

Arce-Rodríguez ML, Ochoa-Alejo N. (2017). An R2R3-MYB transcription factor regulates capsaicinoid biosynthesis. Plant Physiology, 174:1359–1370. [Cited by ~400+ articles]

Gómez-García MR, Ochoa-Alejo N. (2013). Biochemistry and molecular biology of carotenoid biosynthesis in chili peppers. Int. J. Mol. Sci. 14:19025–19053. [Cited by ~500+]

Aza-González C, Núñez-Palenius HG, Ochoa-Alejo N. (2011). Molecular biology of capsaicinoid biosynthesis in chili pepper. Plant Cell Reports, 30:695–706. [Cited by ~300+]

Kothari SL, Joshi A, Kachhawa S, Ochoa-Alejo N. (2010). Chili peppers: a review on tissue culture and transgenesis. Biotechnol. Adv. 28:35–48. [Cited by ~350+]

Martínez-López LA, Ochoa-Alejo N, Martínez O. (2014). Dynamics of the chili pepper transcriptome during fruit development. BMC Genomics, 15:143. [Cited by ~200+]

Arce-Rodríguez ML, Martínez O, Ochoa-Alejo N. (2021). Genome-wide identification of MYB transcription factors in chili pepper. Int. J. Mol. Sci. 22:2229. [Cited by ~150+]

Villa-Rivera MG, Ochoa-Alejo N. (2020). Chili pepper carotenoids: Nutraceutical properties and mechanisms of action. Molecules 25:5573. [Cited by ~100+]

Conclusion

Given his unparalleled scientific achievements, leadership in national and international academic circles, decades of dedication to mentorship, and profound influence on plant biotechnology, Dr. Neftalí Ochoa Alejo is not only suitable but is an ideal candidate for the Research for Outstanding Scientist Award. His career reflects excellence, integrity, and impact—qualities that define this prestigious recognition.

Weiling He | Cancer Genomics Computational Studies | Best Researcher Award

Posted on by Computational Biologists

Prof. Weiling He | Cancer Genomics Computational Studies | Best Researcher Award

Professor at Xiamen University, China

Dr. Weiling He is a leading figure in precision oncology, serving as Chief Physician, Professor, Doctoral and Postdoctoral Supervisor, and President of Xiang’an Hospital at Xiamen University. He is widely recognized for his contributions to cancer treatment, particularly in the domains of tumor microenvironments and drug resistance. Honored with the National Natural Science Foundation of China’s Excellent Young Scientist Fund and recognized as a Distinguished Young Medical Talent of Guangdong Province, Dr. He has established himself as a trailblazer in translational medical research. His prolific output includes over 50 SCI-indexed publications and six granted patents, underscoring his influence in both academia and clinical application.

Profile

Scopus

Education

Dr. He holds both an MD and a PhD, equipping him with a robust foundation for navigating the complex landscape of cancer research and treatment. His academic journey reflects a commitment to scientific excellence and multidisciplinary learning, enabling him to bridge the gap between theoretical research and clinical practice. The integration of medicine and scientific inquiry during his training shaped his ongoing work in precision medicine, translational oncology, and systems biology.

Experience

With a career marked by leadership and innovation, Dr. He currently serves as the President of Xiang’an Hospital at Xiamen University. He has led more than 20 research projects at the national and provincial levels, including prestigious programs under the National Key R&D Initiative and the National Natural Science Foundation of China. Dr. He has also contributed extensively to industry-academia collaboration, participating in strategic projects like the Guangdong Soft Science Program and the Guangzhou Future Industry Initiative. His academic affiliations include leadership roles in over ten national medical associations, reflecting a deep engagement with both clinical and academic ecosystems.

Research Interest

Dr. He’s research focuses on unraveling the mechanisms of tumor drug resistance, exploring metastasis pathways, and analyzing the tumor microenvironment. He is particularly interested in precision interventional therapy and the development of biomaterials and microfluidic technologies for real-time monitoring and treatment. His interdisciplinary approach combines oncology, engineering, and systems biology to improve the outcomes of metastatic cancer therapies. Through collaborative research with institutions such as Sun Yat-sen University and Emory University, he advances new methodologies in clinical translation and integrative cancer treatment.

Award

Dr. Weiling He has received several distinguished honors throughout his career. Among them, the National Natural Science Foundation of China awarded him the Excellent Young Scientist Fund, recognizing his outstanding potential and research impact in oncology. In addition, he was named a Distinguished Young Medical Talent of Guangdong Province, affirming his influence on medical innovation and leadership. His work is frequently acknowledged in national and international forums, and he has played a pivotal role in advancing precision medicine initiatives across China.

Publication

Dr. He has authored more than 50 papers indexed in SCI journals, with several appearing in top-tier publications. Notable recent works include:

“Immune Microenvironment Remodeling in Colorectal Cancer,” Cancer Immunology Research, 2020 – cited 326 times.

“Dual Nanoparticle Delivery in Precision Oncology,” Advanced Science, 2021.

“Microfluidic Chips for Real-time Tumor Monitoring,” Nature Communications, 2022.

“Translational Biomaterials in Interventional Therapy,” Science Translational Medicine, 2023 (cover article).

“Integrated Oncology Systems for Drug Resistance,” Nature Cancer, 2023.

“Microsphere Technology for Metastatic Cancer,” Advanced Science, 2024.

“Tumor Sensitization Targets for Interventional Therapy,” Nature Communications, 2024.

These publications have garnered over 1000 citations in total, with multiple works recognized as “Highly Cited Papers” in their respective fields.

Conclusion

Dr. Weiling He’s exceptional academic record, impactful research, numerous high-impact publications, robust patent portfolio, and her pivotal role in the advancement of precision oncology mark her as a standout candidate for the Best Researcher Award. Her commitment to interdisciplinary innovation and translational impact makes her not only deserving of this honor but a role model for future generations in computational and medical biology.

Mukhtar Sofi | Artificial Intelligence and Computational Biology | Proteomics Research Award

Posted on by Computational Biologists

Dr. Mukhtar Sofi | Artificial Intelligence and Computational Biology | Proteomics Research Award

Assistant Professor at VIT Vellore, India

Dr. Mukhtar Ahmad Sofi is an accomplished academician and researcher specializing in the intersection of artificial intelligence and bioinformatics. He currently serves as an Assistant Professor at BVRIT Hyderabad, India. With a robust foundation in computer science, Dr. Sofi’s career reflects a dedication to scientific rigor, educational excellence, and interdisciplinary innovation. His key research efforts explore machine learning, deep learning, and computational biology, particularly in protein structure prediction and biomedical data analysis. Dr. Sofi’s scholarly contributions include impactful publications in high-ranking journals, patents, and participation in global conferences. His professional journey exemplifies a commitment to scientific advancement and collaborative research leadership.

Profile

Google scholar

Education

Dr. Sofi earned his Ph.D. in Computer Science & Engineering from the University of Kashmir. He holds an M.Tech in Computer Science & Engineering and an MCA in Computer Science from Pondicherry Central University. His academic journey began with a BCA from the University of Kashmir, laying a solid foundation in computing principles. Supplementing his formal education, he pursued a Certificate in Foreign Languages (French) and completed specialized training in machine learning through the NPTEL platform from IIT Kharagpur. His academic profile demonstrates a continuous commitment to advanced learning and interdisciplinary competence.

Experience

Dr. Sofi has been working as an Assistant Professor at BVRIT Hyderabad since February 2023. His experience bridges both teaching and research, providing students with advanced training in machine learning and deep learning while leading impactful research initiatives. Before his academic appointment, he gained experience as a research fellow during his doctoral studies under the University Grants Commission’s Senior and Junior Research Fellowship schemes. Additionally, Dr. Sofi has contributed to multiple workshops, training sessions, and has mentored students to win prestigious R&D showcases. His practical experience also includes leading projects in Docker environments and leveraging deep learning libraries on NVIDIA’s DGX A100 server infrastructure.

Research Interest

Dr. Sofi’s research interests lie at the intersection of machine learning, deep learning, computational biology, and bioinformatics. His primary focus is on protein secondary structure prediction using deep learning models. He explores data partitioning strategies, convolutional and recurrent architectures, and attention mechanisms to enhance prediction accuracy. His work also expands into broader applications such as reservoir water prediction, sentiment analysis in human-robot interactions, and medical diagnostics using digital twins. Through his research, Dr. Sofi aims to bridge the gap between computational modeling and real-world biological systems, contributing to personalized medicine and AI-driven biomedical innovations.

Awards

Among Dr. Sofi’s many recognitions are the UGC-NET and JK-SET qualifications in Computer Science, both achieved in 2018. He was awarded Senior and Junior Research Fellowships by UGC for his Ph.D. studies. He received a grant of ₹3.5 lakh from AICTE to conduct an ATAL Faculty Development Program on “Generative AI: Transforming Education and Research” in 2023. He was recently selected for a prestigious Post-Doctoral Fellowship at the National University of Singapore and Chinese Academy of Medical Sciences (2024). Additionally, he received the Best Paper Presentation Award at the IEEE ICDSNS-2024 and served as a supporting trainer for NVIDIA’s advanced deep learning workshop.

Publications

Dr. Sofi’s impactful scholarly work includes the following publications:

IRNN-SS: Deep learning for optimised protein secondary structure prediction – Int. J. Bioinformatics Research and Applications, 2024. Cited by: 2.

RiRPSSP: A Unified Deep Learning method for Protein Secondary Structures – Journal of Bioinformatics and Computational Biology, 2023. Cited by: 8.

Protein secondary structure prediction using CNNs and GRUs – International Journal of Information Technology (Springer), 2022. Cited by: 14.

Smart Toll Tax Collection using BLE – International Journal of Advanced Research in Computer Science, 2017. Cited by: 5.

Bluetooth Protocol in IoT: Security Review – International Journal of Engineering Research & Technology (IJERT), 2016. Cited by: 11.

Cheating Detection in Proctored Exams using Deep Neural Networks – IEEE Access (Accepted, minor revision).

Reservoir Water Prediction using LSTM and GRU – Water Resource Management Journal (Springer) (Under review).

These publications highlight Dr. Sofi’s pioneering work in applying AI to bioinformatics and smart system solutions.

Conclusion

Dr. Mukhtar Ahmad Sofi exemplifies the future of proteomics research by merging computational intelligence with biological structure prediction. His innovative approaches, validated by high-impact publications and international recognition, significantly advance the field. Given his contributions to protein structure prediction and his visionary application of AI in bioinformatics, Dr. Sofi is an ideal recipient for the Proteomics Research Award, embodying the excellence, innovation, and interdisciplinary rigor the award stands for.

Gayatri Iyer | Pharmacogenomics | Best Researcher Award

Posted on by Computational Biologists

Dr. Gayatri Iyer | Pharmacogenomics | Best Researcher Award

Scientist III at Tata Institute for Genetics and Society, India

Dr. Gayatri R. Iyer is a leading clinical geneticist and molecular biologist specializing in genetic counseling and rare disease diagnostics. With over a decade of hands-on experience in both research and clinical genetics, she bridges molecular science with patient-centric healthcare. She currently serves as Scientist Grade II at the Tata Institute for Genetics and Society, where she develops cost-effective diagnostic solutions for complex genetic disorders. Certified at Level II by the Board of Genetic Counseling, India, and holding an INSPIRE fellowship from the Department of Science and Technology, her professional journey reflects excellence in research, diagnostics, and community outreach. Her multidisciplinary expertise and contributions make her a standout nominee in the field of translational genetics.

profile

google scholar

Education

Dr. Iyer’s academic foundation is built on a rigorous and multidisciplinary path. She earned her Ph.D. in Human Genetics from Kamineni Hospitals, affiliated with Osmania University, where she was a DST-INSPIRE Fellow (2016–2021). Her doctoral research focused on developing methylation-specific PCR assays for imprinting disorders, reflecting her dedication to translating molecular diagnostics into clinical practice. She completed her M.Sc. in Applied Genetics from The Oxford College of Science, Bangalore, with a gold medal for academic excellence (2012–2014), and secured second rank in her B.Sc. in Biotechnology from Birla College, Mumbai (2012). She has supplemented her academic training with a PG Certificate in Medical & Genetic Counseling and a diploma in Bioinformatics.

Experience

With progressive experience in clinical genetics, Dr. Iyer has held diverse roles across premier institutions. At the Tata Institute for Genetics and Society (2023–present), she focuses on developing diagnostic platforms for rare disorders such as imprinting syndromes and neuromuscular conditions. During her postdoctoral fellowship at IIT Bombay (2022–2023), she worked on subcellular proteomics and gut microbiome sequencing. At Kamineni Hospitals, Hyderabad (2015–2021), she evolved from a Junior to Senior Research Fellow and served as a senior genetic counselor, managing over 2,000 cases across specialties including pediatrics, oncology, and reproductive medicine. Her work at LifeCell International and Datar Genetics further solidified her position as an expert counselor and educator.

Research Interest

Dr. Iyer’s research is centered on rare genetic diseases, molecular diagnostics, pharmacogenomics, and genetic counseling. She is especially focused on developing accessible and cost-effective diagnostic tools for Indian and resource-limited populations. Her doctoral work on imprinting disorders was groundbreaking, contributing novel diagnostic pathways for syndromes like Prader-Willi and Angelman. She is equally invested in epigenetics, next-generation sequencing, and microarray-based diagnostics. Her translational approach ensures that molecular insights are effectively integrated into patient care, family screening, and policy development. She continues to bridge the gap between lab-based discoveries and real-world clinical applications through genetic counseling and education.

Awards

Dr. Iyer’s contributions have been consistently recognized at national and international levels. She is the recipient of the DST Faculty Research Grant (2024–2029) and co-investigator on an ICMR CAR grant. Her global reputation was affirmed by receiving a $3,500 workshop grant and a travel grant from the International Prader-Willi Syndrome Organization. She was awarded the prestigious DST-INSPIRE Fellowship (2016–2021) and secured a travel grant to present her research at the Asia Pacific Prader-Willi Conference in Brisbane (2018). Her academic accolades include the Gold Medal in M.Sc. Applied Genetics and first rank in her Bioinformatics diploma. She also serves as Joint Secretary of the Executive Committee, Board of Genetic Counseling, India.

Publications

Dr. Iyer has contributed to over 15 peer-reviewed journal articles and book chapters. Selected impactful publications include:

Halder A, Iyer G, et al. (2023). Targeted proteomics distinguishes high and low grade meningioma tumors. Clin Proteomics, 20(1):41. [Cited by: 5]

Bajaj S, Iyer G, et al. (2022). Telegenetics diagnosis of Hunter syndrome during COVID-19. Int J Contemp Pediatr, 9:851–4. [Cited by: 2]

Iyer GR, et al. (2022). NGS in musculoskeletal disorders. J Orthop Surg Res, 17(1):76. [Cited by: 3]

Iyer GR, et al. (2021). Angelman syndrome phenotype with GABRG3. Ann Hum Genet, doi:10.1111/ahg.12449. [Cited by: 4]

Abbas NZ, Iyer GR, et al. (2020). Genotype-Phenotype correlation in pediatric neurology. Int J Health Clin Res, 3(5):67–73. [Cited by: 2]

Iyer G, et al. (2020). COVID-19 therapy driven by pharmacogenomics. AIJR Preprints. [Cited by: 7]

Iyer GR, et al. (2020). Host gene variants and COVID-19 progression. Front Genet, 11:861. [Cited by: 10]

Conclusion

Dr. Gayatri R. Iyer exemplifies the ethos of a best researcher through her unwavering commitment to bridging science and clinical application. Her pioneering work in low-cost diagnostic development for rare disorders, hands-on clinical counseling experience, interdisciplinary teaching, and highly cited publications affirm her exceptional contribution to medical genetics and public health. Her nomination for the Best Researcher Award is a recognition of her dedication, innovation, and leadership in translating genetic research into impactful health solutions.

Romeo-Gabriel Mihaila | Systems Biology | Best Researcher Award

Posted on by Computational Biologists

Prof.Romeo-Gabriel Mihaila | Systems Biology | Best Researcher Award

Head of Hematology Department at Lucian Blaga University of Sibiu, Romania.

Romeo-Gabriel Mihăilă is a Romanian physician, professor, and researcher specializing in internal medicine and hematology. He serves as Full Professor of Medical Semiology at “Lucian Blaga” University in Sibiu and heads the Hematology Department at the Emergency County Clinical Hospital Sibiu. With over 390 scientific publications, including many indexed in international databases, he has contributed significantly to research on chronic liver disease, hematologic malignancies, and cardiovascular pathology. Professor Mihăilă earned his medical degree from the Institute of Medicine and Pharmacy Cluj-Napoca and holds a PhD in Medical Sciences. He is a member of several professional societies, an editorial board member and reviewer for numerous journals, and has received multiple national and international awards recognizing his scientific and educational contributions.

🎓 Educational Background:

His academic journey began at the Institute of Medicine and Pharmacy Cluj-Napoca, where he graduated in 1988. He pursued specialization in internal medicine and hematology, complemented by advanced training in echography, digestive endoscopy, molecular medicine, and immunohistochemistry. He completed a PhD in Medical Sciences with magna cum laude honors in 2001, presenting research on the treatment of liver fibrosis. His education also includes international training, such as a clinical fellowship at Haut-Lévêque Hospital in Bordeaux, France.

Profile:

Professional Experience:

Spanning more than three decades, Prof. Mihăilă has held prominent roles in clinical practice, education, and research. He has been a senior specialist and professor since the early 2000s and played a leading role in shaping the academic programs at Lucian Blaga University. Between 2018 and 2022, he coordinated the Invasive and Non-Invasive Research Center for Cardiac and Vascular Pathology in Adults (CVASIC), demonstrating his dedication to interdisciplinary medical innovation. Additionally, he has contributed to the management and strategic direction of the hospital as Chairman of the Scientific Research Council.

🔬 Research Contributions:

Prof. Mihăilă’s scientific activity is prolific and internationally recognized. He has published 394 scientific articles, including over 80 indexed in the Web of Science Core Collection. His research spans hematology, hepatology, thrombosis, oncology, and recently, the application of machine learning in metabolic disorders. He has also co-authored an article in the prestigious New England Journal of Medicine and contributed chapters to several international books. Beyond publication, he has directed and participated in numerous national and international research projects and clinical trials, including multicenter phase III studies on chronic lymphocytic leukemia and anemia in cancer.

📚 Teaching and Mentorship:

A passionate educator, Prof. Mihăilă has taught generations of medical students, residents, and PhD candidates. He developed curricula in medical semiology and supervised doctoral dissertations while promoting high standards of clinical and scientific training. As a PhD supervisor and academic leader, he has shaped the next generation of Romanian clinicians and researchers.

🏆 Awards and Honors:

Throughout his career, Prof. Mihăilă has received numerous awards and distinctions. Among them are diplomas from Romanian medical institutions for his contributions to science, a Best Poster award at national congresses, and multiple prizes from the Romanian National Committee of Scientific Research for his published articles. His inclusion in Who’s Who in Medical Romania and Who’s Who in Science and Engineering further underscores his impact on the field.

🌍 Scientific Community Engagement:

Actively involved in the scientific community, Professor Mihăilă is a member of the European Federation of Internal Medicine, the Romanian Society of Internal Medicine, and the Romanian Society of Hematology. He has participated in numerous conferences, including European Hematology Association congresses, American Society of Hematology meetings, and EASL Symposia, often presenting original research. Additionally, he has organized and chaired many national and international medical events and served as an assessor of scientific works.

Publications:

  1. Cardiovascular Risk in Philadelphia-Negative Myeloproliferative Neoplasms: Mechanisms and Implications—A Narrative Review

  2. Diagnostic Values of Serum Inflammatory Biomarkers after Hip and Knee Arthroplasty in Patients with Periprosthetic Joint Infection

  3. Incidence of Subclinical Deep Vein Thrombosis after Total Hip and Knee Arthroplasty Is Not Correlated with Number of Tranexamic Acid Doses

  4. Challenges Associated with the Use of Bruton’s Tyrosine Kinase Inhibitors: A Life-Saving Therapy for Chronic Lymphocytic Leukemia (Review)

  5. Advances in the Treatment of Chronic Myeloid Leukemia

  6. Automated Machine Learning to Develop Predictive Models of Metabolic Syndrome in Patients with Periodontal Disease

  7. IL-1 Beta—A Biomarker for Ischemic Stroke Prognosis and Atherosclerotic Lesions of the Internal Carotid Artery

Carlos Quintal Novelo | Synthetic Biology Modeling | Best Researcher Award

Posted on by Computational Biologists

Dr.Carlos Quintal Novelo | Synthetic Biology Modeling | Best Researcher Award

Clinical Chemist and Research Associate at Mexican Social Security Institute (IMSS), Mexico.

Dr. Carlos J. Quintal Novelo is a Research Associate B at the Mexican Institute of Social Security (IMSS). He holds a Ph.D. in natural products chemistry from the Scientific Research Center of Yucatán, where he studied the anticancer properties of plants used in Mayan traditional medicine. His work focuses on isolating bioactive compounds, conducting cytotoxic and antiproliferative assays, and performing molecular docking studies. Dr. Quintal Novelo has authored over 14 scientific publications, secured two patents for anticancer plant extracts, and contributed to epidemiological research on leukemia. He is a member of AMIPRONAT and an active mentor to young researchers in the fields of pharmacognosy and hematology.

🎓 Educational Background:

Dr. Carlos J. Quintal Novelo is a Mexican scientist whose academic path reflects dedication to the exploration of medicinal plants and natural products. He studied Pharmaceutical Chemistry and Biology at the Faculty of Chemistry, Autonomous University of Yucatán. Driven by curiosity about traditional medicine, he pursued both a Master’s degree and a Ph.D. at the Scientific Research Center of Yucatán. During his doctoral studies, he focused on uncovering the anticancer potential of plants used in Mayan traditional medicine, laying the foundation for a career at the intersection of cultural heritage and modern science.

Profile:

Professional Experience:

Dr. Carlos J. Quintal Novelo has built a multidisciplinary career at the Mexican Institute of Social Security (IMSS) as a Research Associate B and Clinical Chemist. He has led and contributed to diverse research projects investigating bioactive compounds from medicinal plants and marine organisms native to the Yucatán Peninsula. His professional experience includes the isolation and characterization of secondary metabolites, evaluation of their cytotoxic, antiproliferative, and antioxidant activities in cell culture, and molecular docking studies to understand their therapeutic potential. Additionally, he has participated in epidemiological studies of leukemia and other cancers, expanding his expertise beyond laboratory science into public health research. Dr. Quintal Novelo’s work has resulted in multiple peer-reviewed publications and two patents on plant-derived anticancer extracts, demonstrating his commitment to translating natural products research into practical health applications. He also contributes as a mentor, training students and young researchers in laboratory techniques and scientific investigation within clinical and academic settings.

Research and Innovations:

Throughout his career, Dr. Quintal Novelo has specialized in natural products chemistry, isolation of bioactive compounds, and evaluation of their therapeutic properties. His work encompasses cell culture bioassays—including cytotoxicity, antiproliferative, and antioxidant studies—as well as molecular docking of semi-synthetic derivatives derived from plants. Notably, he has contributed to projects characterizing the chemical and biological profiles of macroalgae and medicinal plants, and has also engaged in epidemiological research to understand the patterns of leukemia among adult patients in Mexico.

Scientific Contributions:

Dr. Quintal Novelo has authored and co-authored more than 14 peer-reviewed publications in respected journals such as Natural Product Research, Tetrahedron Letters, and Biomedical Research International. His studies have received over 130 citations, reflecting growing recognition of his contributions to drug discovery from natural sources. He has also secured two patents for plant extracts with anticancer properties, underscoring his commitment to translating research into innovative therapies.

Areas of Expertise:

His expertise spans natural products, secondary metabolites, semi-synthetic derivatives, antioxidants, and cytotoxic assays, as well as epidemiological profiling of hematologic cancers. This multidisciplinary approach bridges the gap between laboratory discoveries and public health impact.

Recognition and Professional Affiliations:

Dr. Quintal Novelo is a member of the Mexican Association for Research in Natural Products (AMIPRONAT). His research achievements have contributed to elevating the profile of Mexican science in the global search for new therapeutic agents derived from nature.

Publications:

1️⃣ Semi-Synthetic Derivatives from a Lupane-Type Triterpene Isolated from Phoradendron wattii with Anti-Leukemia Activity
Natural Product Communications, 2025

2️⃣ Mayan Medicinal Plants Bignonia potosina and Thouinia paucidentata Demonstrate Anti-Infective Properties Against the Priority Antibiotic-Resistant Bacteria Acinetobacter baumannii and Pseudomonas aeruginosa
Plants, 2024

3️⃣ A Morinda royoc Root Extract and Fractions Exhibit Antigiardial Activity without Affecting Cell Viability
Iranian Journal of Parasitology, 2022

4️⃣ Cytotoxic and Antiproliferative Activity of Thiazole Derivatives of Ochraceolide A
Natural Product Research, 2022

5️⃣ Hepatoprotective Effect of a Fucoidan Extract from Sargassum fluitans Borgesen Against CCl₄-Induced Toxicity in Rats
International Journal of Biological Macromolecules, 2020

6️⃣ Enzymatic Protein Hydrolysates and Ultrafiltered Peptide Fractions from Cowpea (Vigna unguiculata L.) Bean with In Vitro Antidiabetic Potential
Journal of the Iranian Chemical Society, 2019

7️⃣ A Sargassum fluitans Borgesen Ethanol Extract Exhibits a Hepatoprotective Effect In Vivo in Acute and Chronic Liver Damage Models
BioMed Research International, 2018

Chafik boulealam | Deep Learning for Genomics | Best Researcher Award

Posted on by Computational Biologists

Mr.Chafik boulealam | Deep Learning for Genomics | Best Researcher Award

Research Scientist at  fsdm/usmba, Morocco.

Chafik Boulealam is a Moroccan data scientist and full-stack developer with over five years of experience specializing in artificial intelligence, deep learning, and machine learning. Currently pursuing a PhD in Deep Learning at Sidi Mohamed Ben Abdellah University in Fes, he has led and contributed to projects ranging from real-time face recognition and object detection to intelligent chatbots and Arabic text mining. Fluent in Arabic, French, and English, Chafik combines strong technical skills in Python, Java, and modern frameworks like Django and React with a passion for innovation, problem-solving, and applying AI to real-world challenges.

🎓 Educational Background:

Chafik Boulealam pursued his higher education at Sidi Mohamed Ben Abdellah University in Fes, Morocco, where he built a strong foundation in mathematics, computer science, and artificial intelligence. He first earned a Bachelor of Science in Mathematical Sciences and Computer Science, followed by a Master of Science in Business Intelligence and Intelligent Vision, which deepened his expertise in machine learning and intelligent systems. Currently, he is advancing his academic journey as a PhD student specializing in Deep Learning, with his research focusing on video analysis and hybrid machine learning models. In addition to his formal degrees, Chafik has completed several professional certifications, including courses in Neural Networks, Convolutional Neural Networks, Machine Learning Specialization, and Text Retrieval, demonstrating his commitment to continuous learning and staying current in the fast-evolving field of AI.

Profile:

Professional Experience:

Chafik has over five years of experience in technology and research. He is a Project Manager, Backend Developer, and Full Stack Developer at Dr Stone in Casablanca, where he manages complex AI projects, streamlines API integrations, and develops scalable applications. As a freelancer on Upwork, he has delivered innovative solutions to clients worldwide. His experience also includes research roles at Sidi Mohamed Ben Abdellah University, where he contributed to AI and deep learning projects.

🧠 Research and Innovation:

Driven by curiosity and a passion for AI, Chafik has worked on diverse projects including face recognition systems, behavior analysis, object detection, and Arabic text mining. His work often blends advanced deep learning models with traditional computer vision techniques, such as Kalman filtering and YOLO frameworks. This combination allows him to design systems that are both precise and efficient.

Skills and Expertise:

Chafik is highly skilled in programming languages such as Python, Java, C++, and JavaScript. He is proficient in frameworks like Django, React, Flask, and Next.js, enabling him to build end-to-end solutions. His expertise covers project management, system modeling with UML and MERISE, and developing intelligent systems that solve real-world problems.

Certifications and Professional Development:

Committed to continuous learning, Chafik has earned several respected certifications from Coursera. These include Neural Networks and Deep Learning, Convolutional Neural Networks, Machine Learning Specialization, and Text Retrieval and Search Engines. These credentials reflect his dedication to staying at the forefront of AI and data science innovation.

Publications:

  • Filali, H., Riffi, J., Boulealam, C., Mahraz, M. A., & Tairi, H. (2022). Multimodal emotional classification based on meaningful learning. Big Data and Cognitive Computing, 6(3), 95. https://doi.org/xxx (Add DOI if available)

  • Filali, H., Boulealam, C., El Fazazy, K., Mahraz, A. M., Tairi, H., & Riffi, J. (2025). Meaningful multimodal emotion recognition based on capsule graph transformer architecture. Information, 16(1), 40. https://doi.org/xxx

  • Boulealam, C., Filali, H., Riffi, J., Mahraz, A. M., & Tairi, H. (2024). Feedback-Based Validation Learning (FBVL): A novel mechanism for performance enhancement in neural network architectures. (Manuscript/Journal name if known — provide full citation when available).

  • Chafik, B., Hajar, F., Jamal, R., Mahraz, A. M., & Hamid, T. (2025). Deep multi-component neural network architecture. Computation, 13(4), 93. https://doi.org/xxx

Yidnekachew Awraris | Systems Biology | Best Researcher Award

Posted on by Computational Biologists

Dr. Yidnekachew Awraris | Systems Biology | Best Researcher Award

Assistant professor of biology education at Dilla college of education, Ethiopia.

Dr. Yidnekachew Awraris Kebede is an Assistant Professor of Biology Education at Dilla College of Teacher Education in Ethiopia and a Doctor of Education candidate at Hawassa University. He holds an MSc in Applied Microbiology and has over 20 years of experience in teaching and educational leadership. His research focuses on cooperative learning and science education, with publications in international journals such as Science Education International and SAGE Open. Fluent in Amharic and English, Dr. Yidnekachew is dedicated to improving biology instruction and fostering student achievement through innovative, learner-centered approaches.

🎓 Educational Background:

Dr. Yidnekachew Awraris Kebede began his formal education at Rabel Elementary School, where he studied from 1988 to 1995. He continued his secondary education at Mehalmeda Preparatory and Secondary School between 1996 and 1999 Ethiopian Calendar. Pursuing his passion for science, he enrolled at Debreberhan University, earning a Bachelor of Education degree in Biology from 2000 to 2002 EC. He advanced his studies at Hawassa University, where he completed a Master of Science degree in Applied Microbiology between 2007 and 2009 EC. Demonstrating a commitment to continuous professional growth, he is currently a Doctor of Education candidate in Biology at Hawassa University, with studies spanning from 2021 to 2025. In addition to his academic degrees, Dr. Yidnekachew holds a Higher Diploma License in Education from Dilla University, further strengthening his expertise in teaching and educational practice.

Profile:

Professional Experience:

Dr. Yidnekachew began his career as a Biology Teacher and Head of the Biology Department at Bilate Tena Secondary School, where he served from September 2003 to November 2005 EC. He then joined Dilla College of Teacher Education, contributing as a Lecturer and Mathematics and Natural Science Stream Officer from 2005 to 2013 EC. His dedication and expertise led to his current role as an Assistant Professor of Biology Education at Dilla College of Teacher Education, where he mentors aspiring educators and advances the field of biology education.

Skills and Competencies:

In addition to his academic qualifications, Dr. Yidnekachew is proficient in computer applications, including MS Word, MS Excel, and MS Access. His technological skills support his research activities, teaching, and administrative responsibilities, ensuring effective delivery of educational content and management of academic records.

Interests and Hobbies:

Beyond his professional life, Dr. Yidnekachew enjoys reading books, magazines, and newspapers, keeping himself informed about developments in science and society. He is also passionate about watching movies and soccer. Additionally, he participates actively in charity work, reflecting his commitment to community service and social responsibility.

Publications:

  • Unlocking the Power of Togetherness: Exploring the Impact of Cooperative Learning on Peer Relationships, Academic Support, and Gains in Secondary School Biology in Gedeo Zone
    YA Kebede, FK Zema, GM Geletu, SA Zinabu
    Science Education International, 2024

  • Cooperative Learning Instructional Approach and Student’s Biology Achievement: A Quasi-Experimental Evaluation of Jigsaw Cooperative Learning Model in Secondary Schools in Ethiopia
    YA Kebede, FK Zema, GM Geletu, SA Zinabu
    SAGE Open, 2025

  • Misconceptions as a Barrier to Understanding Biological Science Lessons: A Systematic Review of Pertinent Studies
    GM Geeltu
    Ethiopian Journal of Education Studies, 2023

  • Effects of Cooperative Learning on the Academic Achievement and Attitude Towards Cooperative Learning: The Case of Dilla College of Teacher Education First Year Mathematics Students
    YAKS ZB Tademe Zula Biramo
    Dilla Journal of Education, 2022