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

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.

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Education

Dr. Sofi earned his Ph.D. in Computer Science and Engineering from the University of Kashmir between 2019 and 2023, awarded officially in 2024. Prior to his doctoral work, he completed an M.Tech in Computer Science and Engineering (2015–2017) from Pondicherry Central University with a CGPA of 8.72. He also holds a Master’s in Computer Applications (2011–2014) from the same university, graduating with a CGPA of 8.51. His undergraduate degree, a BCA in Computer Science, was obtained from the University of Kashmir (2008–2011) with 62% marks. These academic milestones have equipped him with a rigorous theoretical and applied understanding of computer science and its emerging domains.

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 predictionInt. J. Bioinformatics Research and Applications, 2024. Cited by: 2.

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

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

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

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

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

Reservoir Water Prediction using LSTM and GRUWater 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

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.

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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

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

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

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

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

Zhang Xiaoming | Pharmacogenomics Modeling | Best Researcher Award

Dr. Zhang Xiaoming | Pharmacogenomics Modeling | Best Researcher Award 

Associate research fellow at National Institutes for Food and Drug Control, China.

Dr. Xiaoming Zhang is an Associate Professor at the National Institutes for Food and Drug Control, Beijing, with a strong background in molecular biology and biopharmaceutical research. He holds a Ph.D. in Life Sciences from Peking University and has held research positions at both Peking University and the National University of Singapore. His work focuses on the development of innovative reporter gene assays for evaluating therapeutic protein and peptide bioactivity. With multiple first-author publications in high-impact journals and international research experience, Dr. Zhang is recognized for his contributions to translational research and regulatory science.

🎓 Academic Background:

Dr. Xiaoming Zhang began his scientific journey with a Bachelor’s degree in Life Sciences from Hebei University (2003–2007), laying a strong foundation in biological research. Driven by a deep curiosity for life at the molecular level, he pursued his Ph.D. in Life Sciences at the prestigious Peking University (2007–2012), where he delved into advanced molecular biology and genetics. His academic rigor and commitment to scientific excellence during this formative phase established the groundwork for a successful research career.

Profile:

🧪 Professional Experience:

Dr. Zhang’s professional trajectory is marked by steady progress and international exposure. He first worked as a Research Assistant at the School of Chemical Biology & Biotechnology, Peking University (2012–2013), contributing to innovative biochemical studies. In 2013, he joined the Department of Biochemistry at Yong Loo Lin School of Medicine, National University of Singapore, where he served as a Research Fellow for nearly six years. Here, he refined his expertise in translational research and therapeutic bioassays. Since March 2019, Dr. Zhang has been serving as an Associate Professor at the National Institutes for Food and Drug Control in Beijing, playing a key role in therapeutic evaluations and regulatory science.

📚 Research Contributions:

Dr. Zhang is renowned for his pioneering work in the development of reporter gene assays to evaluate the biological activities of therapeutic proteins and peptides. His research spans a broad spectrum—from PEGylated recombinant human growth hormone to glucagon-like peptide-2 analogues, addressing critical needs in drug development. Notably, his recent publications in Journal of Pharmaceutical Analysis, Molecules, and iScience highlight his innovative approaches to bioassay design and therapeutic evaluation. His co-authorship and first-author roles in multiple peer-reviewed journals underscore his direct involvement in impactful discoveries.

🏅 Recognition and Impact:

While Dr. Zhang’s scientific publications speak volumes, his true impact lies in the translation of molecular insights into therapeutic assessment tools. His work contributes significantly to drug safety and efficacy testing, ensuring that biologics are accurately evaluated before reaching patients. As an Associate Professor at a national regulatory institute, his role bridges academic innovation and public health policy, making his contributions both scientifically rigorous and socially relevant.

🚀 Future Potential:

Dr. Xiaoming Zhang’s career demonstrates an upward trajectory with great potential for further leadership in biopharmaceutical regulation and translational research. With continued contributions to therapeutic bioactivity assays, regulatory innovation, and interdisciplinary collaborations, Dr. Zhang stands out as a valuable contributor to global health sciences. He is a strong contender for prestigious recognitions such as the Best Researcher Award, and his journey is a testament to dedication, innovation, and scientific excellence.

Publications:

  1. An improved reporter gene assay for evaluating the biological activity of recombinant human growth hormone
    Journal of Pharmaceutical Analysis, 2025

    • Authors: Xiaoming Zhang, Heyang Li, Ying Huang, Ping Lv, Lvyin Wang, Kezheng Xu, Yi Li, Xinyue Hu, Yue Sun, Cheng-gang Liang, Jing Li

  2. Development of a Mechanism of Action-Reflective Cell-Based Reporter Gene Assay for Measuring Bioactivities of Therapeutic Glucagon-like Peptide-2 Analogues
    Molecules, 2025

  3. A Reporter Gene Assay for Measuring the Biological Activity of PEGylated Recombinant Human Growth Hormone
    Molecules, 2025

    • Authors: Shaowang Hu*, Xiaoming Zhang*, Yi Li, Jing Li, Yingwu Wang, Chenggang Liang

    • (Co-first author)

  4. MLL5 regulates Rhodopsin gene expression by acting as a novel coactivator of CRX
    iScience, 2022

    • Authors: Zhang XM, Zhang BW, Xiang L, Wu H, Zhou PP, Alexander SAS, Zhou P, Dai MZ, Wang X, Xiong W, Zhang Y, Jin ZB, Deng LW

  5. MLL5 (KMT2E): structure, function, and clinical relevance
    Cellular and Molecular Life Sciences, 2017

    • Authors: Zhang XM, Novera W, Zhang Y, Deng LW

  6. Pluripotent Stem Cell Protein Sox2 Confers Sensitivity towards LSD1 Inhibition in Cancer Cells
    Cell Reports, 2013

    • Authors: Xiaoming Zhang, Fei Lu, Jing Wang, Feng Yin, Zhengshuang Xu, Dandan Qi, Yuwen Cao, Weihua Liang, Yuqing Liu, Yundong Wu, Hong Sun, Tao Ye, Hui Zhang

maryam | Computational Neuroscience | Best Researcher Award

Dr. maryam | Computational Neuroscience | Best Researcher Award 

faculty at Shahrekord University, Iran.

Dr. Maryam Taghizadeh is an Assistant Professor of Communication Engineering at Shahrekord University, Iran. With a Ph.D. from Isfahan University of Technology, her research focuses on signal and image processing, particularly in medical applications such as brain tumor segmentation and autism diagnosis using EEG and deep learning. She has published extensively in reputable journals and has actively contributed to academic conferences as a chair and committee member. Dr. Taghizadeh is also a dedicated mentor, guiding graduate research in biomedical signal processing and AI-driven diagnostics.

🎓Academic Background:

Dr. Maryam Taghizadeh holds a distinguished academic background in Electrical and Communication Engineering. She earned her Ph.D. in Communication Engineering from Isfahan University of Technology in 2014, following her M.Sc. (2003) and B.Sc. (2001) degrees from the same institution. Her educational journey laid a strong foundation in signal processing, communications, and applied research, setting the stage for her impactful contributions in both academia and biomedical research.

Profile:

💼 Professional Experience:

Dr. Maryam Taghizadeh has been serving as an Assistant Professor at the Faculty of Technology and Engineering, Shahrekord University, Iran, since 2014. In this role, she has actively engaged in teaching, research, and student supervision in the fields of communication engineering and biomedical signal processing. Her expertise lies in image analysis, EEG signal interpretation, and the application of artificial intelligence in medical diagnostics. She has led numerous research projects related to brain disorders such as autism and brain tumors, using advanced techniques like deep learning, wavelet transforms, and active contour models. In addition to her academic responsibilities, Dr. Taghizadeh has contributed significantly to the scientific community by participating in the organization of major conferences. She served as the Chairperson of the 3rd International Conference on Pattern Recognition and Image Analysis and has been a Scientific and Executive Committee Member in multiple editions of national and international conferences on machine vision and image processing. Through her research, mentorship, and leadership, she continues to play a vital role in advancing interdisciplinary engineering and healthcare innovation in Iran and beyond.

🧪 Scientific and Research Excellence:

Dr. Maryam Taghizadeh has demonstrated outstanding scientific and research excellence in the interdisciplinary fields of signal processing, image analysis, and biomedical engineering. Her pioneering work in developing automated methods for brain tumor segmentation, EEG-based autism diagnosis, and functional brain network analysis reflects a deep integration of engineering principles with healthcare innovation. She has published high-impact research in internationally recognized journals, such as IET Computer Vision and the International Journal of Neural Systems, showcasing both originality and practical relevance. Dr. Taghizadeh’s ability to apply machine learning, deep networks, and wavelet transforms to real-world medical problems marks her as a leader in AI-driven healthcare solutions. Furthermore, her active roles in organizing international conferences and mentoring graduate students further amplify her contribution to advancing science and fostering the next generation of researchers.

🧠 Areas of Expertise:

Dr. Maryam Taghizadeh’s research bridges the fields of signal and image processing, biomedical engineering, and artificial intelligence, with a special focus on medical applications. Her work includes developing algorithms for brain tumor segmentation, autism detection using EEG signals, and analyzing bioacoustic patterns in insects. She has authored and co-authored several impactful papers in reputable journals such as IET Computer Vision and International Journal of Neural Systems. Her research is widely recognized for its innovation in applying deep learning, wavelet transforms, and active contour models to real-world medical challenges.

👩‍🏫 Student Mentorship:

As a dedicated mentor, Dr. Maryam Taghizadeh has supervised numerous master’s theses in areas such as EEG signal processing, autism detection, cognitive brain analysis, and deep learning models for healthcare diagnostics. Her students have explored cutting-edge topics, contributing to the advancement of neuroscience and computational medicine under her guidance.

🌐 Academic Leadership:

Beyond her research, Dr. Maryam Taghizadeh has played a vital role in academic leadership. She has served on the Scientific Committee of the Iranian Conference on Machine Vision and Image Processing and the International Conference on Pattern Recognition and Image Analysis. Notably, she chaired the 3rd edition of the latter and was a member of the executive committee for its 6th edition in 2023, showing her ongoing engagement in shaping research dialogue and collaboration.

Publications:

  • A Review of Coronary Vessel Segmentation Algorithms
    M.T. Dehkordi, S. Sadri, A. Doosthoseini
    Journal of Medical Signals & Sensors, 1(1), pp. 49–54, 2011.
    Cited by: 81

  • Local Feature Fitting Active Contour for Segmenting Vessels in Angiograms
    M. Taghizadeh Dehkordi, A.M. Doost Hoseini, S. Sadri, H. Soltanianzadeh
    IET Computer Vision, 8(3), pp. 161–170, 2014.
    Cited by: 37

  • Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals
    H.A. Ardakani, M. Taghizadeh, F. Shayegh
    International Journal of Neural Systems, 32(11), Article 2250046, 2022.
    Cited by: 17

  • Segmentation of Coronary Vessels by Combining the Detection of Centerlines and Active Contour Model
    M. Taghizadeh, S. Sadri, A. Doosthoseini
    Proceedings of the 7th Iranian Conference on Machine Vision and Image Processing, 2011.
    Cited by: 8

  • A New Active Contour Model for Tumor Segmentation
    M.T. Dehkordi
    3rd International Conference on Pattern Recognition and Image Analysis, 2017.
    Cited by: 6

  • An Effective System to Detect Face Drowsiness Status Using Local Features in a Hierarchical Decision-Making Structure
    M.T. Dehkordi, F.S. Hafshejani, H. Pourghasem
    International Research Journal of Engineering and Technology, 5(4), pp. 646–654, 2018.
    Cited by: 3

  • Bioacoustics of Trogoderma granarium Everts (Coleoptera: Dermestidae)
    P.A. Farsani, N.S. Dehkordi, R. Ebrahimi, A. Nemati, M.T. Dehkordi
    Journal of Asia-Pacific Entomology, 27(1), Article 102189, 2024.
    Cited by: 1

  • An Automated Method for Brain Tumor Segmentation Based on Level Set
    Maryam Taghizadeh Dehkordi
    International Journal of Computer, 30(1), pp. 59–69, 2018.
    Cited by: 1

  • Investigation of Electrical Signals in the Brain of People with Autism Using Effective Connectivity Network
    F. Bahrami, M. Taghizadeh, F. Shayegh
    Journal of Medical Signals & Sensors, 14(8), Article 24, 2024.
    Cited by: 0 (as of now)

Ivo Gut | Cancer Genomics Computational Studies | Outstanding Scientist Award

Dr. Ivo Gut | Cancer Genomics Computational Studies |Outstanding Scientist Award

Director at Centro Nacional de Analisis Genomico, Spain.

Dr. Ivo Glynne Gut is an internationally recognized genomics expert, known for pioneering contributions in genome analysis, technology development, and translational research. Born in Basel, Switzerland, in 1960, he holds dual Swiss and British nationality and is fluent in German, English, French, and Spanish. Over a distinguished career spanning more than three decades, he has significantly influenced cancer genomics, rare diseases, epigenetics, and single-cell biology. Dr. Gut is currently the Director General and CEO of the Centro Nacional de Análisis Genómico (CNAG) in Barcelona, a leading genome analysis center in Southern Europe.

🎓Academic Background:

Dr. Ivo Glynne Gut embarked on his academic journey in the field of chemistry at the University of Basel, Switzerland. He earned his undergraduate degree in Chemistry in 1985, laying a strong foundation in the chemical sciences. Demonstrating a keen interest in the physical aspects of chemistry, he pursued and completed a Ph.D. in Physical Chemistry at the same institution in 1990. His doctoral studies equipped him with a profound understanding of the physical principles underlying chemical systems, setting the stage for his future contributions to genomics and molecular biology.

Profile:

💼 Professional Experience:

Dr. Ivo Glynne Gut is a renowned expert in genomics with a career spanning both academia and large-scale research infrastructures. He served as the Director of the Centro Nacional de Análisis Genómico (CNAG) in Spain, where he led high-throughput sequencing efforts for large genomic projects. Prior to that, he was a key scientist at the Centre National de Génotypage (CNG) in France, contributing to major European and international genomics initiatives. Dr. Gut has played a pivotal role in advancing personalized medicine, population genomics, and cancer research through his leadership and innovative approaches in genome analysis. His work bridges cutting-edge technology development with impactful biomedical applications.

🧪 Scientific and Research Excellence:

Dr. Gut’s scientific journey has been defined by a consistent drive to develop and apply innovative technologies to solve complex biomedical problems. His work has led to the creation of gold-standard tools, such as bisulphite pyrosequencing for DNA methylation analysis, and to the foundation of Epigenomics AG, which commercialized the Septin9 blood-based test for colon cancer detection. He played a key role in several landmark genome-wide association studies (GWAS) and was instrumental in uncovering critical genetic mutations in various cancers, including lung cancer, melanoma, and chronic lymphocytic leukemia (CLL). His recent focus on single-cell genomics has opened new frontiers in understanding immune cell dynamics in health and disease.

🌍 International Collaborations and Initiatives:

Dr. Gut’s influence extends globally through his participation in and leadership of major international initiatives. These include the International Cancer Genome Consortium (ICGC), International Human Epigenome Consortium (IHEC), and the 1+Million Genomes Initiative. He has chaired quality control working groups, led genomic infrastructure projects like RD-Connect and EASI-Genomics, and participated in European flagship programs in cancer and rare disease research. His involvement has shaped global best practices in genomic data analysis and policy.

🧠 Areas of Expertise:

His areas of specialization include genomics, bioinformatics, cancer biology, rare diseases, high-throughput sequencing, DNA/protein analysis methods, and the development of omics technologies. His interdisciplinary expertise has allowed him to lead from both technological and clinical fronts.

🏆Honors and Recognition:

Dr. Gut’s excellence has been widely recognized, notably with the “Stars of Europe” Prize awarded to the READNA consortium he coordinated. He also holds several prestigious fellowships and has served on influential scientific advisory boards for institutions including Genome Canada, ELIXIR, and the German Federal Ministry of Education and Research (BMBF). His patented inventions (24 in total) have had significant translational impact, further exemplifying his role as a bridge between discovery and real-world application.

🏥 Leadership and Institutional Impact:

As founding director of CNAG, Dr. Gut has overseen its evolution into a powerhouse of genomic research, managing a team of over 130 professionals and an annual budget of €14 million. Under his leadership, CNAG has achieved ISO certifications, produced over 400 studies annually, and contributed crucial genomic infrastructure and insight to the Spanish healthcare system, particularly in cancer and rare disease diagnostics. His role encompasses scientific strategy, operations, human resources, finance, and stakeholder engagement with ministries of research and health.

Publications:

  1. Lambert JC, Heath S, Even G, Campion D, Sleegers K, Hiltunen M, … Gut IG. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nature Genetics. 41(10):1094-1099, 2009. (Cited by 4396)

  2. Barrett JC, Hansoul S, Nicolae DL, Cho JH, Duerr RH, Rioux JD, Brant SR, … Gut IG. Genome-wide association defines more than 30 distinct susceptibility loci for Crohn’s disease. Nature Genetics. 40(8):955-962, 2008. (Cited by 3314)

  3. Alexandrov LB, Kim J, Haradhvala NJ, Huang MN, Tian Ng AW, Wu Y, … Gut IG. The repertoire of mutational signatures in human cancer. Nature. 578(7793):94-101, 2020. (Cited by 3096)

  4. Pan-cancer analysis of whole genomes. Nature. 578(7793):82-93, 2020. (Cited by 2707)

  5. Moffatt MF, Gut IG, Demenais F, Strachan DP, Bouzigon E, Heath S, … A large-scale, consortium-based genomewide association study of asthma. New England Journal of Medicine. 363(13):1211-1221, 2010. (Cited by 2519)

  6. Rhie A, McCarthy SA, Fedrigo O, Damas J, Formenti G, Koren S, … Gut IG. Towards complete and error-free genome assemblies of all vertebrate species. Nature. 592(7856):737-746, 2021. (Cited by 2443)

  7. International network of cancer genome projects. International Cancer Genome Consortium. Nature. 464(7291):993, 2010. (Cited by 2431)

  8. SEARCH Collaborative Group, Gut IG. SLCO1B1 Variants and Statin-Induced Myopathy — A Genomewide Study. New England Journal of Medicine. 359(8):789-799, 2008. (Cited by 2361)

  9. Lappalainen T, Sammeth M, Friedländer MR, ‘t Hoen PAC, Monlong J, … Gut IG. Transcriptome and genome sequencing uncovers functional variation in humans. Nature. 501(7468):506-511, 2013. (Cited by 2148)

  10. Moffatt MF, Kabesch M, Liang L, Dixon AL, Strachan D, Heath S, … Gut IG. Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma. Nature. 448(7152):470-473, 2007. (Cited by 2023)

  11. Puente XS, Pinyol M, Quesada V, Conde L, Ordóñez GR, Villamor N, … Gut IG. Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia. Nature. 475(7354):101-105, 2011. (Cited by 1980)

  12. Hung RJ, McKay JD, Gaborieau V, Boffetta P, Hashibe M, Zaridze D, … Gut IG. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature. 452(7187):633-637, 2008. (Cited by 1514)

  13. Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, … Gut IG. Genome-wide association study identifies eight loci associated with blood pressure. Nature Genetics. 41(6):666-676, 2009. (Cited by 1465)

  14. Quesada V, Conde L, Villamor N, Ordóñez GR, Jares P, Bassaganyas L, … Gut IG. Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia. Nature Genetics. 44(1):47-52, 2012. (Cited by 1306)

  15. Dixon AL, Liang L, Moffatt MF, Chen W, Heath S, Wong KCC, Taylor J, … Gut IG. A genome-wide association study of global gene expression. Nature Genetics. 39(10):1202-1207, 2007. (Cited by 1184)

  16. Puente XS, Beà S, Valdés-Mas R, Villamor N, Gutiérrez-Abril J, … Gut IG. Non-coding recurrent mutations in chronic lymphocytic leukaemia. Nature. 526(7574):519-524, 2015. (Cited by 1094)

  17. Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, … Gut IG. The evolutionary history of 2,658 cancers. Nature. 578(7793):122-128, 2020. (Cited by 1066)

  18. Prado-Martinez J, Sudmant PH, Kidd JM, Li H, Kelley JL, … Gut IG. Great ape genetic diversity and population history. Nature. 499(7459):471-475, 2013. (Cited by 1009)

  19. Heyn H, Li N, Ferreira HJ, Moran S, Pisano DG, Gomez A, Diez J, … Gut IG. Distinct DNA methylomes of newborns and centenarians. Proceedings of the National Academy of Sciences. 109(26):10522-10527, 2012. (Cited by 932)

  20. Tost J, Gut IG. DNA methylation analysis by pyrosequencing. Nature Protocols. 2(9):2265-2275, 2007. (Cited by 868)

Shuying FENG | Functional Genomics | Best Researcher Award

Prof. Shuying FENG | Functional Genomics | Best Researcher Award

Director at Henan University of Chinese Medicine, China.

Dr. Shuying Feng is a Professor, PhD, and Postdoctoral Supervisor at Henan University of Chinese Medicine, where he leads several key research centers focused on functional and special medical foods. A nationally recognized expert in traditional Chinese medicine, his work integrates nanotechnology, probiotic fermentation, gene editing, and the medical application of natural products. Dr. Shuying Feng has published over 100 papers (90+ SCI-indexed), holds 21 national invention patents, and has directed numerous national and provincial projects. He is also a distinguished academic leader, mentor, and recipient of multiple scientific and technological awards.

🎓 Academic Background :

Dr. Shuying Feng is a highly accomplished Professor and Doctoral/Postdoctoral Supervisor at Henan University of Chinese Medicine. Holding a PhD and serving as a leading scholar in his field, Dr. Shuying Feng is also a member of the Communist Party of China. He currently leads several prominent research institutions, including the Henan Engineering Research Center for Special Medical Foods of Traditional Chinese Medicine, and serves as Executive Director of the Institute of Functional Foods and Medicine-Food Homologous Research. His academic leadership has significantly influenced the advancement of traditional Chinese medicine and functional food research across Henan Province and beyond.

Profile:

Professional Experience:

Dr. Shuying Feng has extensive professional experience as a professor, researcher, and academic leader in the field of traditional Chinese medicine and functional foods. He currently serves as Director of multiple research centers, including the Henan Engineering Research Center for Special Medical Foods, and holds executive roles at key provincial and municipal laboratories. Over his career, he has led more than 30 national, provincial, and industry-funded research projects, secured significant research funding, and guided numerous graduate and postdoctoral researchers. His work has resulted in over 100 publications, 21 national patents, and wide-ranging contributions to both academic and industrial advancements in medical food innovation.

🔬 Research Interests:

Dr. Shuying Feng’s research spans several pioneering fields within biomedical science and traditional medicine. His primary areas of interest include the development of functional and special medical foods, the nanoization and probiotic fermentation enhancement of traditional Chinese medicine, gene editing and its applications in microalgae, and the medical applications of bee products. His multidisciplinary approach bridges ancient medicinal wisdom with cutting-edge biotechnology, driving innovation in both health and food sciences.

🏅 Honors & Recognition:

Dr. Shuying Feng has been recognized with numerous accolades, including the title of Distinguished Professor of Henan Province, High-Level Talent (Category C), Academic and Technical Leader by the Henan Department of Education, and Outstanding Young Backbone Teacher in Higher Education. At the city level, he has been named an Excellent Scientific and Technological Talent. These honors underscore his contributions to both academic excellence and public service in the field of medical science.

🏛️ Leadership & Roles:

Beyond his research and teaching, Dr. Feng holds influential roles in academic societies. He is Vice Chairman of the Tumor Cell Professional Committee of the Henan Cell Biology Society and a council member of both the Fermentation Research Committee under the World Federation of Chinese Medicine Societies and the Henan Biochemistry and Molecular Biology Society. These leadership positions highlight his commitment to collaborative scientific advancement and community engagement.

Publications:

  • Meng, Y., Si, Y., Guo, T., Sun, K., & Feng, S. (2025). Ethoxychelerythrine as a potential therapeutic strategy targets PI3K/AKT/mTOR induced mitochondrial apoptosis in the treatment of colorectal cancer. Scientific Reports.
    🔹 Citations: 1

  • Ji, C., Li, S., Hu, C., Yin, S., & Feng, S. (2024). Traditional Chinese medicine as a promising choice for future control of PEDV. (Journal name not specified).
    🔹 Citations: 0

  • Zhang, B., Wang, Q., Zhang, Y., Wang, B., & Feng, S. (2024). Treatment of insomnia with traditional Chinese medicine presents a promising prospect. (Journal name not specified).
    🔹 Citations: 0

  • Yang, Y., Li, S., Shi, W., Lu, B., & Feng, S. (2024). Pterostilbene suppresses the growth of esophageal squamous cell carcinoma by inhibiting glycolysis and PKM2/STAT3/c-MYC signaling pathway. International Immunopharmacology.
    🔹 Citations: 1

  • Wei, W., Guo, T., Fan, W., Ma, W., & Feng, S. (2024). Integrative analysis of metabolome and transcriptome provides new insights into functional components of Lilii Bulbus. Chinese Herbal Medicines.
    🔹 Citations: 5