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

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

University of Naples Federico II, Italy.

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🎓 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.

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

Abdelrahman Elgohr | Bioinformatics | Best Researcher Award

Dr.Abdelrahman Elgohr | Bioinformatics | Best Research Article Award

Mechatronics engineering department, faculty of engineering at Horus University Egypt, Egypt.

Dr. Abdelrahman Tarek Elgohr is an Assistant Lecturer in Mechatronics Engineering at Horus University, Egypt, with a strong research focus on robotics, artificial intelligence, and brain-computer interfaces. He holds an MSc from Zagazig University and is currently pursuing his PhD at Mansoura University. Dr. Elgohr has published extensively in top-tier journals, contributed to cutting-edge work on robotic arm optimization and EEG signal analysis, and is a certified Huawei AI instructor. His blend of academic leadership, technical expertise, and innovative research makes him a rising figure in applied mechatronics and intelligent systems.

🎓 Academic Background:

Dr. Abdelrahman Tarek Elgohr is a distinguished Mechatronics Engineer and academic, currently serving as an Assistant Lecturer at the Faculty of Engineering, Horus University, Egypt. He holds a Master of Science in Mechatronics Engineering from Zagazig University, where he conducted advanced research on brain-controlled robotic systems. Currently, he is pursuing a Ph.D. in Mechatronics Engineering at Mansoura University, having achieved excellence in courses covering nonlinear control systems, intelligent technologies, and advanced robotics.

Profile:

📚 Research Expertise:

Dr. Elgohr’s research lies at the dynamic intersection of robotics, artificial intelligence, and biomedical systems. His master’s thesis focused on the development of a brain-controlled robotic arm using deep learning and optimization algorithms, demonstrating innovation in both AI application and mechanical control. He has authored over 13 peer-reviewed publications in internationally indexed journals such as Elsevier, Wiley, IEEE Xplore, and the Journal of Engineering Research, covering diverse topics from EEG signal classification to sustainable energy systems and robotic path planning.

🧠 Teaching and Academic Contributions:

With over six years of teaching experience at Horus University, Dr. Elgohr has played a vital role in shaping the academic journey of future engineers. He teaches a broad range of courses, including Robotics Engineering, Motion Control, CAD Design, and Electrical Circuits. He also serves as the Head of the Robotics Laboratory and contributes to quality assurance, student advising, and curriculum development—particularly in the university’s Artificial Intelligence program.

🛠️ Technical Skills and Certifications:

Dr. Elgohr possesses strong technical proficiency across several platforms and tools. He is skilled in programming languages such as C, Python, and MATLAB, and has hands-on experience with TensorFlow and SolidWorks. His certifications include Huawei HCIA AI Instructor, SolidWorks Associate, Siemens PLC Programming, and multiple professional development courses offered by DAAD Egypt, including proposal writing and fundraising.

🌟 Achievements and Roles:

Beyond research and teaching, Dr. Elgohr is actively engaged in academic service. He has advised over 80 students, served on examination and academic scheduling committees, and is an IEEE Horus Student Branch monitor. Notably, he is the first Huawei AI Certified Instructor at Horus University. His academic leadership and organizational skills continue to strengthen the university’s robotics and AI ecosystem.

Publications:

  1. A Comprehensive Review on Hybridization in Sustainable Desalination Systems
    Membranes, 2025.

  2. Path Planning for a 6 DoF Robotic Arm Based on Whale Optimization Algorithm and Genetic Algorithm
    Journal of Engineering Research, 2023.

  3. Trajectory Optimization for a 6 DOF Robotic Arm Based on Reachability Time
    Annals of Emerging Technologies in Computing, 2024.

  4. Enhancing Conical Solar Stills with Aluminum Ball Energy Storage: Optimal Distance for Improved Performance
    Journal of Energy Storage, 2024.

  5. Multi-Classification Model for Brain Tumor Early Prediction Based on Deep Learning Techniques
    Journal of Engineering Research, 2024.

  6. A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
    International Journal of Advanced Computer Science and Applications, 2024.

  7. Whale-Based Trajectory Optimization Algorithm for 6 DOF Robotic Arm
    Annals of Emerging Technologies in Computing, 2024.

  8. Modeling of Heat Transfer and Airflow Inside Evacuated Tube Collector with Heat Storage Media: Experimental Validation Powered by Artificial Neural Network
    Heat Transfer, 2025.

  9. Performance Evaluation of a Standalone Solar-Powered Irrigation System in Desert Regions Using PVsyst: A Comprehensive Analysis
    25th International Middle East Power System Conference (MEPCON), 2024.

  10. Comparative Analysis for Accurate Multi-Classification of Brain Tumor Based on Significant Deep Learning Models
    Computers in Biology and Medicine, 2025.

  11. Advancements in Photovoltaic Technology: A Comprehensive Review of Recent Advances and Future Prospects
    Energy Conversion and Management: X, 2025.

  12. Trajectory Optimization for 6 DOF Robotic Arm Using WOA, GA, and Novel WGA Techniques
    Results in Engineering, 2025.

  13. Innovative Electrode Design and Catalytic Enhancement for High-Efficiency Hydrogen Production in Renewable Energy Systems
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2025.

  14. Early Lung Cancer Detection with a Fusion of Inception V3 and Vision Transformers: A Binary Classification Study
    International Conference on Future Telecommunications and Artificial Intelligence (FutureTech), 2024.

  15. Enhancing Urban Park Connectivity and User Experience Through Space Syntax Analysis with Environmental Performance Analysis: A Case Study in New Damietta City, Egypt
    Urban Studies – Egypt, 2024.