Romeo-Gabriel Mihaila | Systems Biology | Best Researcher Award

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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

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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

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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