Eyachew Misganew Tegaw | AI in Personalized Medicine | Best Researcher Award

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Assist. Prof. Dr. Eyachew Misganew Tegaw | AI in Personalized Medicine | Best Researcher Award

Assistant Professor of Medical Physics at  Debre Tabor University, Ethiopia.

Dr. Eyachew Misganew Tegaw is an Assistant Professor of Medical Physics at Debre Tabor University, Ethiopia. He earned his Ph.D. from Tehran University of Medical Sciences, specializing in intraoperative radiotherapy using nanoparticles for breast cancer treatment. His research spans medical imaging, radiation therapy, nanomedicine, and AI applications in oncology. Dr. Eyachew Misganew Tegaw has published extensively in peer-reviewed journals and actively contributes to scientific advancement through research, mentorship, and international collaboration.

👨‍🎓 Educational Background:

Eyachew Misganew Tegaw holds a Ph.D. in Medical Physics from the Tehran University of Medical Sciences (TUMS), Iran, where he specialized in intraoperative radiotherapy (IORT) using nanoparticles for breast cancer treatment. His academic journey began with a B.Sc. in Applied Physics from the University of Gondar, followed by an M.Sc. in Condensed Matter Physics from Mekelle University. Across these programs, he built a strong foundation in quantum mechanics, computational physics, and radiation therapy physics, gaining multidisciplinary expertise in both theoretical and applied domains.

Profile:

👨‍🏫 Professional Experience:

With over a decade of academic service, Dr. Eyachew Misganew Tegaw currently serves as an Assistant Professor in the Department of Physics at Debre Tabor University, Ethiopia. He previously held the position of Lecturer at the same institution, actively contributing to curriculum development and student mentorship. His leadership experience includes a two-year term as Department Head and three years as Chair of the Ethiopian Space Science Society (Debre Tabor Branch), showcasing his commitment to both academic and community development.

🧪 Research Interests:

Dr. Eyachew Misganew Tegaw is a highly driven researcher with diverse interests spanning medical physics, radiotherapy technologies, medical imaging, radiation dosimetry, nanomedicine, Monte Carlo simulations, and artificial intelligence. His work integrates cutting-edge approaches like deep learning and machine learning with traditional medical physics techniques, aiming to enhance cancer treatment planning and medical imaging. He is especially passionate about nanoparticle-enhanced therapies and computational modeling for improved patient outcomes in oncology.

🔍 Areas for Improvement:

While Dr. Eyachew Misganew Tegaw has made significant strides in academic research, increased visibility through invited talks, expanded international partnerships, and higher engagement in translational clinical projects could further enhance his research impact. Diversifying funding sources and mentoring emerging researchers may also solidify his standing in the global scientific community.

📚 Scientific Contributions

Dr. Eyachew has authored and co-authored numerous peer-reviewed journal articles in high-impact scientific journals. His publications cover a wide range of topics such as Monte Carlo simulations for radiotherapy, nanoparticle-enhanced imaging and treatment, and explainable AI in oncology. Notable among his recent works is a 2025 article in Scientific Reports comparing survival outcomes in breast cancer surgery, and another accepted paper focusing on AI for lung cancer survival prediction. His systematic reviews and meta-analyses have also significantly contributed to evidence-based practice in cancer diagnosis and therapy.

Publications:

  1. Diagnostic performance of mammography and ultrasound in breast cancer: A systematic review and meta-analysis
    Journal of Ultrasound, 2023

  2. Dosimetric characteristics of the INTRABEAM® system with spherical applicators in the presence of air gaps and tissue heterogeneities
    Radiation and Environmental Biophysics, 2020

  3. Techniques for generating attenuation map using cardiac SPECT emission data only: A systematic review
    Annals of Nuclear Medicine, 2019

  4. Molecular imaging approaches in the diagnosis of breast cancer: A systematic review and meta-analysis
    Iranian Journal of Nuclear Medicine, 2020

  5. Comparison of organs at risk doses between deep inspiration breath-hold and free-breathing techniques during radiotherapy of left-sided breast cancer: A meta-analysis
    Polish Journal of Medical Physics and Engineering, 2022

  6. Gold-nanoparticle-enriched breast tissue in breast cancer treatment using the INTRABEAM® system: A Monte Carlo study
    Radiation and Environmental Biophysics, 2022

  7. Dosimetric effect of nanoparticles in the breast cancer treatment using INTRABEAM® system with spherical applicators in the presence of tissue heterogeneities: A Monte Carlo study
    Biomedical Physics & Engineering Express, 2021

  8. A comparison between EGSnrc/Epp and MCNP in simulation of dosimetric parameters for radiotherapy applications
    Journal of Biomedical Physics & Engineering, 2021

  9. Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries
    Scientific Reports, 2025

  10. Attenuation correction for dedicated cardiac SPECT imaging without using transmission data
    Molecular Imaging and Radionuclide Therapy, 2023

  11. Comparative study between EPID and CBCT for radiation treatment verifications
    Iranian Journal of Medical Physics, 2018

Hua Zhu | AI in Drug Discovery | Best Researcher Award

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Prof. Hua Zhu | AI in Drug Discovery | Best Researcher Award   

Researcher, Ph.D. Supervisor at  Beijing Cancer Hospital & Institute, Peking University, China.
Prof. Hua Zhu is a distinguished researcher and full professor at the Department of Nuclear Medicine, Beijing Cancer Hospital & Institute, Peking University. With a focused career in molecular imaging and nuclear medicine, Prof. Zhu has made pioneering contributions to the clinical translation of cancer theranostics. His extensive work in radiopharmaceuticals, multimodality molecular probes, and targeted delivery systems places him among the leading scientists in his field.

🎓 Academic Background:

Prof. Zhu earned his Bachelor of Science degree in Applied Chemistry from Nanjing Normal University in 2006, followed by a Ph.D. in Inorganic Chemistry (specializing in Radiopharmaceuticals) from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences in 2011. He also enriched his academic perspective through a visiting assistant professorship at Stanford University from 2014 to 2015.

Profile:

Professional Experience:

Prof. Hua Zhu is a full professor at the Department of Nuclear Medicine, Beijing Cancer Hospital & Institute, Peking University. He has over a decade of professional experience in the development of molecular imaging agents and targeted radiopharmaceuticals for cancer diagnosis and therapy. He has led multiple national-level research projects and previously served as a visiting assistant professor at Stanford University, contributing to international research collaboration. His expertise spans from radionuclide production to clinical translation, and he actively holds leadership roles in key academic societies related to nuclear medicine and imaging science.

🧪 Research Focus:

Prof. Zhu’s research is dedicated to the development of molecular imaging tools and targeted delivery systems for cancer diagnosis and treatment. His focus areas include the production and application of solid-target based radionuclides such as ⁶⁴Cu, ⁸⁹Zr, and ¹²⁴I, and the design of multimodal imaging probes. His efforts are instrumental in bridging the gap between bench research and clinical oncology.

🏆 Academic Honors:

Prof. Zhu has received numerous prestigious honors that recognize his research excellence and leadership in the field:

  • 🌟 National-level Young Talent (2023)

  • 🧠 Young Beijing Scholar (2024)

  • 📘 Boya Young Scholar (2025)

  • 🌆 “Bai Qian Wan” Talent of Beijing (2019)

  • 💫 Beijing Young Top-notch Talent (2018)

  • ✨ Beijing Nova Program (2017)

🔬 Research Leadership:

As a principal investigator, Prof. Zhu leads four National Natural Science Foundation of China (NSFC) projects and over ten national/provincial initiatives. His work exemplifies effective leadership in interdisciplinary and cross-institutional collaboration.

Publications:

  1. Detectability of Al¹⁸F-NOTA-HER2-BCH PET for Nodal Metastases in Patients With HER2-Positive Breast Cancer
    Clinical Nuclear Medicine, 2025

  2. Construction of Bispecific T-Cell Engager Radiotracer and Its Micro-PET Evaluation in Pancreatic Cancer
    Molecular Pharmaceutics, 2025

  3. Radiolabelled Anti-PD-L1 Peptide PET/CT in Predicting the Efficacy of Neoadjuvant Immunotherapy Combined With Chemotherapy in Resectable Non-Small Cell Lung Cancer
    Annals of Nuclear Medicine, 2025

  4. [¹⁷⁷Lu]Lu-XYIMSR-01: A Novel CAIX-Targeted Radiotherapeutic for Enhanced Treatment of Malignant Glioma
    Bioconjugate Chemistry, 2025

  5. A Whole-Body Imaging Technique for Tumor-Specific Diagnostics and Screening of B7H3-Targeted Therapies
    Journal of Clinical Investigation, 2025 (Open Access)

  6. Development and First-in-Human Evaluation of a Site-Specific [¹⁸F]-Labeled PD-L1 Nanobody PET Radiotracer for Noninvasive Imaging in NSCLC
    Bioorganic Chemistry, 2025

  7. Radioiodinated Nanobody ImmunoPET Probe for In Vivo Detection of CD147 in Pan-Cancer
    European Journal of Nuclear Medicine and Molecular Imaging, 2025

  8. Strategies for Specific Multimodal Imaging of Cancer-Associated Fibroblasts and Applications in Theranostics of Cancer
    Open Access Review

  9. Efficacy of Radiolabelled PD-L1-Targeted Nanobody in Predicting and Evaluating the Combined Immunotherapy and Chemotherapy for Resectable Non-Small Cell Lung Cancer
    European Journal of Nuclear Medicine and Molecular Imaging, 2025

  10. Recent Advances in Emerging Radiopharmaceuticals and the Challenges in Radiochemistry and Analytical Chemistry
    Review Article, 2025

Abdelrahman Elgohr | Bioinformatics | Best Researcher Award

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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.

Nazanin Zounemat-Kermani | Computational Systems Medicine | Best Researcher Award

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Dr Nazanin Zounemat-Kermani | Computational Systems Medicine | Best Researcher Award

Dr. Nazanin Zounemat-Kermani is an accomplished biomedical data scientist whose research stands at the forefront of precision medicine, respiratory disease, and artificial intelligence. Currently serving as a Postdoctoral Research Associate at both the National Heart and Lung Institute (NHLI) and the Data Science Institute (DSI) at Imperial College London, she has earned international recognition for her leadership in multi-omics data integration and machine learning applications in health sciences.

Profile:

🎓 Educational Background:

Dr. Kermani’s academic journey reflects a rare interdisciplinary blend of computer science and biomedical research. She holds a PhD in Biomedicine from Imperial College London (2020), following dual master’s degrees in Artificial Intelligence from the University of Amsterdam (2011) and Machine Learning and Robotics from the University of Tehran (2004). Her academic roots trace back to a Bachelor of Engineering in Software Engineering from Ferdowsi University of Mashhad (2002).

💼 Professional Experience:

Since 2020, Dr. Kermani has worked as a Postdoctoral Research Associate at Imperial College London, after several years as a Research Assistant and PhD candidate in Zoltan Takats’ Lab. Her academic trajectory within one of the world’s top institutions reflects both her scientific rigor and leadership capabilities.

🎓🤝 Academic Mentorship:

Dr. Nazanin Zounemat-Kermani is widely respected not only for her scientific contributions but also for her unwavering commitment to mentorship and academic leadership. Throughout her career, she has actively nurtured the growth of early-career scientists, postdoctoral researchers, and graduate students. As a senior member of interdisciplinary consortia such as AI-RESPIRE, PRISM, and U-BIOPRED, she has led cross-functional teams spanning clinical science, data engineering, and machine learning—mentoring junior colleagues in both technical development and scientific publishing. Her leadership style is inclusive and empowering, emphasizing hands-on guidance in areas such as statistical modeling, research communication, and responsible data science.

🏆 Awards and Honors:

Dr. Kermani has received numerous accolades, including the MSACL Young Investigator Award (2016), Scholar Awards from the American Thoracic Society (2022, 2023), and multiple research grants from prestigious bodies such as the UKRI, MRC, and EPSRC. She has also been invited to present her research by eminent scholars at institutions like Oxford University and Amsterdam UMC.

🌍 Global Projects and Leadership

Dr. Kermani has led and contributed to numerous high-impact international projects, including:

  • RASP-UK: She developed a robust data management platform supporting clinical and omics data integration for asthma research.

  • PIONEER: Co-led machine learning initiatives in prostate cancer, resulting in a key senior-author publication.

  • U-BIOPRED: Coordinated Europe’s largest severe asthma cohort study, publishing over 20 peer-reviewed articles and acting as corresponding author on influential multi-omics studies.

  • UK-Korea PRISM: Leads cross-national efforts in asthma pathophysiology using advanced analytics and single-cell data.

  • AI-RESPIRE: Heads AI model development for environmental and physiological time-series data, mentoring early-career researchers.

  • DeVENT and PROmics: Oversees analysis in critical care and deep learning integration in patient-reported outcomes.

📚 Publications:

  1. CC16 Confers Protection Against Influenza A Virus Infection in Human Airway Epithelium
    H. Kimura, N.Z. Kermani, N. Kimura, M.M. Siddiq, D. Francisco, I.M. Adcock, et al.
    American Journal of Respiratory and Critical Care Medicine, Vol. 211 (Abstracts), 2025.

  2. Distinct Single-Cell Transcriptional Profile in CD4⁺ T-Lymphocytes Among Obese Children With Asthma
    V. Tejwani, R. Wang, A. Villabona-Rueda, K. Suresh, T.D. Wu, I.M. Adcock, et al.
    American Journal of Physiology – Lung Cellular and Molecular Physiology, Vol. 328(3), 2025.

  3. Female Sex Hormones and the Oral Contraceptive Pill Modulate Asthma Severity Through GLUT-1
    A.C. Brown, O.R. Carroll, J.R. Mayall, N. Zounemat-Kermani, S.L.E. Vinzenz, et al.
    Mucosal Immunology, 2025.

  4. Neutrophilic Inflammation in Sputum or Blood Does Not Define a Clinically Distinct Asthma Phenotype in ATLANTIS
    P.J.M. Kuks, T.M. Kole, M. Kraft, S. Siddiqui, L.M. Fabbri, K.F. Rabe, A. Papi, et al.
    ERJ Open Research, Vol. 11(1), 2025.

  5. The Role of WNT5a and TGF‐β1 in Airway Remodelling and Severe Asthma
    T. Daud, S. Roberts, N. Zounemat-Kermani, M. Richardson, L.G. Heaney, et al.
    Allergy, 2025.

  6. Clinical Importance of Patient-Reported Outcome Measures in Severe Asthma: Results from U-BIOPRED
    R. Meys, F.M.E. Franssen, A.J. Van ‘t Hul, P.S. Bakke, M. Caruso, B. Dahlén, et al.
    Health and Quality of Life Outcomes, Vol. 22(1), Article 109, 2024.

  7. Radiomultiomics: Quantitative CT Clusters of Severe Asthma Associated With Multiomics
    N.Z. Kermani, K.F. Chung, G. Macis, G. Santini, F.A.A. Clemeno, A. Versi, K. Sun, et al.
    European Respiratory Journal, Vol. 64(5), 2024.

  8. S12 Association Between Disease Duration and FEV1 in Severe Asthma Phenotypes and Endotypes
    F. Yang, N. Zounemat-Kermani, P. Dixey, I.M. Adcock, C.I. Bloom, K.F. Chung
    Thorax, Vol. 79(Suppl 2), A15–A16, 2024.

  9. S120 Post-Hoc Analysis of Transcriptomic and Clinical Predictors of Remission in the ATLANTIS Cohort
    A.A. Kumar, T.M. Kole, M.C. Nawijn, K.F. Rabe, A. Papi, C. Brightling, D. Singh, et al.
    Thorax, Vol. 79(Suppl 2), A83–A84, 2024.

  10. Discovery and Validation of a Volatile Signature of Eosinophilic Airway Inflammation in Asthma
    R. Peltrini, R.L. Cordell, M. Wilde, S. Abuhelal, E. Quek, N. Zounemat-Kermani, et al.
    American Journal of Respiratory and Critical Care Medicine, Vol. 210(9), pp. 1101–1112, 2024.

  11. Cardiovascular Events in CML Patients Treated With Nilotinib: Validation of the HFA-ICOS Baseline Risk Score
    M. Andres, F. Fernando, S. Claudiani, N. Kermani, G. Ceccarelli, J. Apperley, et al.
    European Heart Journal, Vol. 45(Suppl 1), ehae666.3169, 2024.

  12. Scientific Business Abstracts
    F. Cooles, G. Vidal-Pedrola, N. Naamane, A. Pratt, B. Barron-Millar, et al.
    QJM: An International Journal of Medicine, Article hcae157, 2024.

  13. A Severe Asthma Phenotype of Excessive Airway Haemophilus influenzae Relative Abundance Associated With Sputum Neutrophilia
    A. Versi, A. Azim, F.X. Ivan, M.I. Abdel-Aziz, S. Bates, J. Riley, M. Uddin, et al.
    Clinical and Translational Medicine, Vol. 14(9), e70007, 2024.

  14. Host-Microbial Interactions Differ With Age of Asthma Onset
    A. Versi, A. Azim, F.X. Ivan, M.I. Abdel-Aziz, S. Bates, J. Riley, et al.
    European Respiratory Journal, 2024.

  15. Cardiovascular Events in CML Patients Treated With Nilotinib: Validation of the HFA-ICOS Baseline Risk Score
    F. Fernando, M.S. Andres, S. Claudiani, N.Z. Kermani, G. Ceccarelli, A.J. Innes, et al.
    Cardio-Oncology, Vol. 10(1), Article 42, 2024.

  16. Endotypes of Severe Neutrophilic and Eosinophilic Asthma From Multi-Omics Integration of U-BIOPRED Sputum Samples
    N.Z. Kermani, C.X. Li, A. Versi, Y. Badi, K. Sun, M.I. Abdel-Aziz, M. Bonatti, et al.
    Clinical and Translational Medicine, Vol. 14(7), e1771, 2024.

  17. IL-33 Induced Gene Expression in Activated Th2 Effector Cells Is Dependent on IL-1RL1 Haplotype and Asthma Status
    A.K.S. Jayalatha, M.E. Ketelaar, L. Hesse, Y.E. Badi, N. Zounemat-Kermani, et al.
    European Respiratory Journal, Vol. 63(6), 2024.

  18. Comparison of Asthma Phenotypes in Severe Asthma Cohorts (SARP, U-BIOPRED, ProAR and COREA) From Four Continents
    S.Y. Park, S. Fowler, D.E. Shaw, I.M. Adcock, A.R. Sousa, R. Djukanovic, et al.
    Allergy, Asthma & Immunology Research, Vol. 16(4), p. 338, 2024.

  19. Enose-Derived Response Clusters in Severe Asthmatics Treated With Anti-IL5/5R Biologics
    P. Dixey, N. Zounemat-Kermani, K. Raby, P.K. Bhavsar, K.F. Chung
    B16. Novel Insights Into Asthma Pathogenesis, A3013, 2024.

  20. Association of CC16 Expression in the Airways With Signature Expression of Multi-Omics Data
    H. Kimura, N.Z. Kermani, I.M. Adcock, K.F. Chung, M. Kraft
    D91. Bridging the Gap: Translational Studies in ARDS, Pneumonia, and Sepsis, 2024.

Oğuz Karcıoğlu | Digital Health and Computational Biology | Best Researcher Award

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Assist. Prof. Dr.Oğuz  Karcıoğlu |  Digital Health and Computational Biology | Best Researcher Award  

Dr. Oğuz Karcıoğlu is a specialist in Chest Diseases at Hacettepe University Faculty of Medicine. After graduating from Hacettepe University in 2011 and completing his specialization in Chest Diseases in 2018, he pursued advanced training in interventional pulmonology at Ruhrlandklinik, University of Essen, and Thoraxklinik, University of Heidelberg in 2023. His research focuses on interstitial lung diseases, cystic fibrosis, and other rare pulmonary conditions. Dr. Karcıoğlu is an active member of the Turkish Thoracic Society and the European Respiratory Society, contributing to both clinical practice and academic advancements in pulmonology.

Profile:

🎓 Educational Background:

Dr. Oğuz Karcıoğlu graduated from the prestigious Hacettepe University Faculty of Medicine in 2011. He completed his residency in Chest Diseases in 2018, building a strong foundation in pulmonary medicine and clinical practice. His dedication to academic growth continued with specialized international training in interventional pulmonology at Ruhrlandklinik, University of Essen, and Thoraxklinik, University of Heidelberg in 2023.

💼 Professional Experience:

Since completing his compulsory service at Çubuk Halil Şıvgın State Hospital after his specialization, Dr. Karcıoğlu has been serving as a faculty member at Hacettepe University Faculty of Medicine, Department of Chest Diseases, since 2021. He is an active member of the Turkish Thoracic Society and the European Respiratory Society, engaging consistently with the academic and professional community. His professional journey reflects a balanced combination of clinical excellence, academic mentorship, and international collaboration.

🏆 Award Contribution:

Through his deep expertise in both common and rare pulmonary conditions, Dr. Karcıoğlu brings a valuable perspective to the Research for Best Researcher Award. His work enhances early diagnosis, procedural innovation, and comprehensive care for patients with challenging respiratory diseases. His dedication to improving clinical outcomes and expanding the scientific understanding of rare lung diseases marks him as a significant contributor to the future of pulmonary medicine.

🔬 Research Focus:

Dr. Karcıoğlu’s research interests are centered around diagnostic and interventional pulmonology, interstitial lung diseases, cystic fibrosis, and other rare lung disorders. His focus on rare diseases underscores his commitment to advancing knowledge in fields that require specialized attention and innovation. By integrating cutting-edge techniques from his international training, he contributes to the refinement of diagnosis and treatment methodologies in respiratory medicine.

Publications:

  • The predictors of COVID-19 mortality in a nationwide cohort of Turkish patients

  • COVID-19: The biggest threat of the 21st century: In respectful memory of the warriors all over the world

  • Ultrasound assessment of sarcopenia in patients with sarcoidosis

  • Pulmonary manifestations of antiphospholipid syndrome: a retrospective analysis of 67 patients

  • What we learned about COVID-19 so far? Notes from underground

  • The contribution of bronchoalveolar lavage in the diagnosis of welder’s lung in a patient with pulmonary fibrosis

  • Comparison of clinical features of cystic fibrosis patients eligible but not on CFTR modulators to ineligible for CFTR modulators

  • Post-discharge mortality in the first wave of COVID-19 in Turkey

  • The association of antiviral drugs with COVID-19 morbidity: The retrospective analysis of a nationwide COVID-19 cohort

  • A basic tool to determine exercise capacity in COPD: 4-meter gait speed

  • Lung cancer from suspicion to treatment: An indicator of healthcare access in Turkey

  • Is there any contribution of bronchial washing to biopsy in the diagnosis of patients with endobronchial pathology in the era of personalized medicine?

  • Diagnostic utility of conventional transbronchial needle aspiration in older patients

  • Effect of modulator therapies on nutritional risk index in adults with cystic fibrosis: A prospective cohort study

  • An 8-year observational study of the death places of patients with COPD in Turkey

  • Who takes care of intensive care? Changes over the last two decades

  • A rare presentation of pulmonary aspergillosis: bronchial stump aspergillosis

  • Investigation of relationship between four meter gait speed test and cardiopulmonary exercise test to determine exercise capacity in COPD patients

Meng Wang | Computational Neuroscience | Best Researcher Award

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Mr Meng Wang |  Computational Neuroscience |  Best Researcher Award 

MD student at  Experimental and Clinical Research Center, Charité – Universitätsmedizin Berlin, Berlin, Germany.

Mr. Meng Wang is a dedicated MD student currently advancing his research at the Experimental and Clinical Research Center (ECRC), affiliated with Charité – Universitätsmedizin Berlin in Germany. With a strong foundation in neurology through his Master’s degree, Meng Wang has committed himself to exploring the complex field of neuroimmunology. His academic journey reflects a deep passion for understanding the immune mechanisms underlying neuroinflammatory disorders, a focus that sets the stage for his impactful contributions to both scientific research and clinical medicine.

🎓 Educational Background:

Mr. Meng Wang holds a Master’s degree in Neurology, which provided him with a strong clinical and scientific foundation in understanding neurological disorders. Building on this expertise, he is currently pursuing his doctoral studies (MD program) at the prestigious Charité – Universitätsmedizin Berlin in Germany, one of Europe’s leading medical universities. His education combines rigorous clinical training with advanced research in neuroimmunology, equipping him with the skills to investigate complex immune processes within the nervous system. Through his studies, Mr. Wang has developed a multidisciplinary approach, blending clinical knowledge, experimental science, and cutting-edge technologies like single-cell and multi-omics analysis to drive innovation in neurological research.

Profile:

 

🧠 Research Focus and Innovations:

Meng Wang’s research delves into the cellular and molecular intricacies of neuroinflammation, particularly in diseases such as Multiple Sclerosis (MS) and Neuromyelitis Optica (NMO). Using cutting-edge single-cell and multi-omics technologies, he investigates the interactions between central nervous system-resident immune cells, like microglia and perivascular macrophages, and the peripheral immune system. His pioneering work on vaccine response mechanisms in myeloid cells and B-cell reconstitution under immunotherapy has already resulted in influential publications in prestigious journals such as Nature Communications and iScience. His efforts are pushing the frontiers of precision medicine by identifying novel biomarkers and therapeutic targets for neurological autoimmune disorders.

 Achievements and Contributions:

Meng Wang’s contributions to neuroscience are both impactful and timely. He has completed two major research projects and is currently involved in two more ongoing studies. Despite being at an early stage of his career, his published work has already received citations, underscoring the influence of his research in the scientific community. By bridging basic immunology and clinical applications, his studies offer new pathways for improving immunotherapy strategies, enhancing vaccine responses, and enabling personalized immune monitoring for patients with neuroinflammatory diseases.

🔬 Areas for Future Growth:

While Meng Wang’s profile is already impressive, there are opportunities for further enrichment. Expanding his involvement in professional societies, gaining experience with consultancy or industry projects, and participating in editorial work for scientific journals could enhance his professional footprint. Engaging in broader science communication activities would also strengthen his leadership and public engagement in the scientific community.

Publications:

Associations of myeloid cells with cellular and humoral responses following vaccinations in patients with neuroimmunological diseases
Journal: Nature Communications
Publication Date: November 25, 2023

Haochen Xu | Bioinformatics | Best Researcher Award

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Mr.Haochen  Xu |  Bioinformatics | Best Researcher Award 

Graduate student at   Luxun Academy of Fine Arts,  China.

Mr. Haochen Xu is a graduate student in the Architectural Art and Design program at the esteemed Lu Xun Academy of Fine Arts. His academic journey is deeply rooted in the fusion of art, architecture, and psychology. Haochen’s academic focus centers around understanding how architectural environments influence human behavior, emphasizing a multi-disciplinary approach that reflects both creative expression and scientific inquiry.

Profile:

🎓 Academic Background:

Mr. Haochen Xu is currently pursuing his graduate studies in Architectural Art and Design at the Lu Xun Academy of Fine Arts, one of China’s most prestigious institutions for art and design education. His academic training emphasizes the integration of artistic creativity with architectural theory, offering a solid foundation in both visual aesthetics and spatial functionality. Through his coursework and research, Haochen has cultivated a deep understanding of human-centric design, with a particular focus on how multi-sensory experiences influence spatial perception and user behavior. His education has equipped him with the skills to think critically, design innovatively, and approach architecture as both an art form and a scientific discipline.

🧠 Research Focus and Innovation:

Haochen’s research lies at the intersection of spatial perception and multi-sensory design, with a keen interest in how people emotionally and psychologically respond to built environments. His innovative work explores how visual, auditory, tactile, and olfactory elements can be harmoniously integrated into architectural spaces to shape human behavior and deepen emotional engagement. By challenging conventional design norms, Haochen strives to make architectural experiences more immersive, empathetic, and human-centric.

🏆 Awards and Recognition:

In recognition of his groundbreaking research and creative design thinking, Haochen has received international accolades, including the prestigious 2025 Muse Platinum Award in the United States and the 2024–2025 A’Design Bronze Award. These honors validate his contribution to advancing architectural design with a focus on emotional resonance and sensory immersion.

🔬 Current Endeavors:

Haochen has completed two research projects and is currently involved in a third, furthering his exploration of multi-sensory architectural design. Although he is in the formative stages of his academic career, his progress demonstrates clear potential for long-term impact in his field.

📚 Publications:

  1. Xu, H., Zhao, J., Jin, C., Zhu, N., & Chai, Y. (2025). Research on the Multi-Sensory Experience Design of Interior Spaces from the Perspective of Spatial Perception: A Case Study of Suzhou Coffee Roasting Factory. Buildings, 15(8), Article 1393.

  2. Zhu, N., Xu, H., Zhang, X., & Chen, L. (2025). A Study on the Influence of Rural Tourism’s Perceived Destination Restorative Qualities on Loyalty Based on SOR Model. Frontiers in Psychology, 16, Article 1529686.

Akhilesh Mishra | Single Cell Genomics | Best Researcher Award

Published on by Computational Biologists

Assist.Prof.Dr.Akhilesh  Mishra |  Single Cell Genomics |  Best Researcher Award 

Assistant Professor at  National Institute of Technology Rourkela,  India.

Dr. Akhilesh Mishra is an accomplished Assistant Professor in the Department of Life Science at the National Institute of Technology (NIT) Rourkela, Odisha, India. His academic path began with a Bachelor’s degree in Botany and Chemistry, followed by dual Master’s degrees—one in Bioinformatics and the other in Botany. He earned his Ph.D. from the Supercomputing Facility for Bioinformatics and Computational Biology (SCFBio) at IIT Delhi, where he decoded the physicochemical and structural language of DNA. Dr. Mishra further honed his expertise through postdoctoral fellowships at UT Southwestern Medical Center and St. Jude Children’s Research Hospital, USA.

🎓 Educational Background:

Dr. Akhilesh Mishra’s academic journey reflects a strong foundation in both life sciences and computational biology. He began his higher education with a Bachelor’s degree in Botany and Chemistry, where he developed an early interest in biological systems and their underlying mechanisms. Driven by a passion for understanding complex biological data, he pursued dual postgraduate degrees—a Master’s in Bioinformatics and a Master’s in Botany—equipping himself with a rare blend of computational skills and deep biological insight. His pursuit of research excellence led him to earn a Ph.D. from the Supercomputing Facility for Bioinformatics and Computational Biology (SCFBio) at IIT Delhi, one of India’s premier institutions. During his doctoral studies, he focused on the physicochemical and structural features of DNA, laying the groundwork for his future contributions to computational oncology. Further enriching his academic experience, Dr. Mishra completed postdoctoral fellowships at UT Southwestern Medical Center and St. Jude Children’s Research Hospital in the United States, where he engaged in cutting-edge cancer genomics and bioinformatics research.

Profile:

Research Focus:

Dr. Mishra leads the Computational Oncology Lab at NIT Rourkela, where he applies cutting-edge multi-omics and computational tools to decode the complexities of cancer biology. His vision is rooted in leveraging interdisciplinary approaches—integrating genomics, transcriptomics, epigenetics, and spatial data—to unravel molecular drivers of renal cell carcinoma (RCC), pediatric brain tumors, and antimicrobial resistance.

Publications:

  • Molecular dynamics simulation-based trinucleotide and tetranucleotide level structural and energy characterization of the functional units of genomic DNA. Physical Chemistry Chemical Physics, 2023.

  • HIF2 Inactivation and Tumor Suppression with a Tumor-Directed RNA-Silencing Drug in Mice and Humans. Clinical Cancer Research, 2022.

  • Molecular Genetic Determinants of Shorter Time on Active Surveillance in a Prospective Phase 2 Clinical Trial in Metastatic Renal Cell Carcinoma. European Urology, 2022.

  • Intron exon boundary junctions in human genome have in-built unique structural and energetic signals. Nucleic Acids Research, 2021.

  • A novel method SEProm for prokaryotic promoter prediction based on DNA structure and energetics. Bioinformatics, 2020.

  • PRIMER SETS, BIOMARKERS, KIT AND APPLICATIONS THEREOF. Indian Institute of Technology Delhi, Patent, 2020.

  • Prion protein transcription is auto-regulated through dynamic interactions with G-quadruplex motifs in its own promoter. Biochimica et Biophysica Acta (BBA) – Gene Regulatory Mechanisms, 2020.

  • ChemGenome2.1: An ab initio gene prediction software. In Gene Prediction, Book Chapter, 2019.

  • Toward a Universal Structural and Energetic Model for Prokaryotic Promoters. Biophysical Journal, 2018.

  • A computational protocol for the discovery of lead molecules targeting DNA unique to pathogens. Methods, 2017.

  • Physico-chemical fingerprinting of RNA genes. Nucleic Acids Research, 2017.

  • Onco-Regulon: an integrated database and software suite for site specific targeting of transcription factors of cancer genes. Database, 2016.

  • A Novel Anticlustering Filtering Algorithm for the Prediction of Genes as a Drug Target. American Journal of Biomedical Engineering, 2012.

Kazem Karami | AI in Drug Discovery | Best Researcher Award

Published on by Computational Biologists

Prof. Kazem  Karami |  AI in Drug Discovery |  Best Researcher Award

academic-member of chemistry department at  isfahan university of technology , Iran.

Prof. Dr. Kazem Karami, born on March 30, 1966, in Ilam, Iran, is a distinguished Iranian chemist renowned for his extensive contributions to the field of inorganic and organometallic chemistry. He currently serves as a Professor in the Department of Chemistry at Isfahan University of Technology, where he has been shaping the future of chemical science through teaching, mentorship, and cutting-edge research since 2006.

Profile:

🎓 Academic Background:

Dr. Karami holds a Ph.D. in Inorganic Chemistry from Bu-Ali Sina University, where he conducted advanced research under the supervision of Prof. S.J. Sabounchei. His dissertation focused on the synthesis and characterization of keto-stabilized phosphorus ylides and various metal complexes, a theme that would define much of his future work. Prior to this, he earned his M.Sc. from Tehran University of Teacher Training and a B.Sc. from Lorestan University.

🔬 Research Interests:

Prof. Karami’s research encompasses a broad and impactful range of topics, including:

  • Design and synthesis of bioactive organometallic complexes

  • C-H activation and cyclopalladation involving phosphorus ylides

  • Development of orthopalladated complexes for anticancer applications

  • Nanocomposites for environmental remediation and biosensing

  • Advanced studies in coordination chemistry, sol-gel processes, and catalysis

His work has consistently bridged synthetic chemistry with biological and environmental relevance, particularly through interactions of complexes with DNA, BSA, and cancer cell lines.

🏆 Awards & Scientific Leadership:

With a career marked by research excellence and leadership, Prof. Karami has been involved in more than 15 research projects funded by the Iranian National Science Foundation (INSF). Many of his projects focus on anticancer metal complexes, environmental chemistry, and nanostructured materials. He has also served on editorial boards and national research committees, reflecting his status as a thought leader in his field.

Publication:

  1. In Vitro Cytotoxicity Studies of Palladacyclic Complexes Containing the Symmetric Diphosphine Bridging Ligand: Studies of Their Interactions With DNA and BSA

  2. Design and Synthesis of a Novel Trinuclear Palladium(II) Complex Containing an Oxime Chelate Ligand: Determining the Interaction Mechanism With the DNA Groove and BSA Site I

  3. Palladium Nanoparticles Supported on Polymer: An Efficient and Reusable Heterogeneous Catalyst for the Suzuki Cross-Coupling Reactions and Aerobic Oxidation of Alcohols

  4. BSA Nanoparticles as Controlled Release Carriers for Isophthalaldoxime Palladacycle Complex: Synthesis, Characterization, In Vitro Evaluation, Cytotoxicity, and Release

  5. Application of Dimeric Orthopalladate Complex of Homoveratrylamine as an Efficient Catalyst in the Heck Cross-Coupling Reaction

  6. Synthesis and Application of Ortho-Palladated Complex of (4-Phenylbenzoylmethylene) Triphenylphosphorane as a Highly Active Catalyst in the Suzuki Cross-Coupling Reaction

  7. A Novel TMD/MOF Composite for Highly Selective Adsorption of Methylene Blue Dye From Aqueous Mixture of MB and MO

  8. A Novel Nanohybrid Based on MIL-101(Cr)/PANI/Ag for the Adsorption of Cationic Methylene Blue Dye From Aqueous Solution

  9. Synthesis and Characterization of Two New Trans Palladium(II) Complexes Containing Benzylamine Ligand: DNA/BSA Interactions, Molecular Docking, and In Vitro Cytotoxic Activity

  10. An Efficient Palladium Catalytic System for Microwave-Assisted Cyanation of Aryl Halides

  11. Synthesis of a Novel Trinuclear Palladium Complex: The Influence of an Oxime Chelate Ligand on Biological Evaluation Toward Double-Strand DNA, BSA Protein, and Molecular Docking

  12. Bis(Dibenzylidene Acetone) Palladium(0) Catalyst for Glycerol Oxidation in Half Cell and in Alkaline Direct Glycerol Fuel Cell

  13. Synthesis and Spectroscopic Characterization Study of New Palladium Complexes Containing Bioactive O,O-Chelated Ligands: Evaluation of the DNA/Protein BSA Interaction and In Vitro Cytotoxicity

  14. Dinuclear Bridged Biphosphinic and Mononuclear Cyclopalladated Complexes of Benzylamines: Synthesis, Structural Characterization, and Antitumor Activity

  15. Application of Dimeric Orthopalladated Complex in Suzuki–Miyaura Cross-Coupling Reaction Under Microwave Irradiation and Conventional Heating

  16. An Investigation on MIL-101(Fe)/PANI/Pd Nanohybrid as a Novel Photocatalyst Based on MIL-101(Fe) MOF for Removing Methylene Blue Dye

  17. Cyclopalladated Complexes of 2-Phenylaniline and Their Catalytic Activity in Suzuki and Heck Reactions Under Mild Conditions

  18. Synthesis, Characterization, and Molecular Docking of New C,N-Palladacycles Containing Pyridinium-Derived Ligands: DNA and BSA Interaction Studies

  19. Polyethylene Glycol-Supported Recyclable NC Palladacycle Catalyst for Heck Cross-Coupling Reactions

  20. Synthesis, Spectroscopic Characterization, and In Vitro Cytotoxicities of New Organometallic Palladium Complexes With Biologically Active β-Diketones: Biological Evaluation and Docking Studies

Nuno Domingues | Algorithm Development for Bioinformatics | Excellence in Research Award

Published on by Computational Biologists

Prof. Dr. Nuno Domingues | Algorithm Development for Bioinformatics | Excellence in Research Award  

Prof . Dr at ISEL, Portugal.

Dr. Nuno A. S. Domingues is a distinguished researcher and educator in the fields of Electrical Engineering, Energy Systems, and Science Communication, currently serving as a Professor at the Instituto Superior de Engenharia de Lisboa (ISEL) in Portugal. With a rare blend of technical depth and interdisciplinary expertise, Dr. Domingues has pursued multiple postdoctoral fellowships and has been at the forefront of innovation in areas such as smart grids, sustainable technologies, machine learning, and engineering education. His career reflects a strong commitment to advancing clean and intelligent technologies, bridging science and society, and inspiring the next generation of engineers and researchers.

Profile:

🎓 Academic Background

Dr. Nuno A. S. Domingues is a highly accomplished academic with a deeply interdisciplinary foundation in engineering and science communication. He holds three postdoctoral degrees—in Mechanical Engineering (2022) and Electrical Engineering & Computer Science (2020) from IST, and in Science Communication (2021) from FCSH-UNL. He earned his Ph.D. in Electrical Engineering and Computer Science from FCT-UNL in 2015, following his Master’s degree from IST in 2008 and an Undergraduate (5-year) program in Electrical Engineering from ISEL in 2005. His academic journey reflects a rare blend of technical depth and communicative versatility.

🔬 Research Interests

Dr. Domingues’ research explores the cutting-edge intersection of technology, sustainability, and human decision-making. His core areas include modeling and simulation, energy systems, SCADA, decision support systems (DSS), intelligent optimization, and machine learning. He also delves into clean technologies, mobility and transport, sustainable consumption, regulatory frameworks, e-learning, and science communication. This wide-ranging expertise equips him to tackle real-world problems from both technical and societal perspectives.

📜 Certifications & Honors

Beyond academia, Dr. Domingues is a certified science and engineering trainer by the Conselho Científico-Pedagógico da Formação Contínua of Minho University. He holds the European Computer Driving License (ECDL) certification, demonstrating his commitment to digital literacy and technology proficiency. Additionally, his Leadership Certification from the Military Academy showcases his ability to lead and inspire in high-pressure, strategic environments.

Publication 

Title: Science education through project-based learning: A case study
Publication: Procedia Computer Science
Year: 2023

Title: Industry 4.0 in maintenance: Using condition monitoring in electric machines
Publication: 2021 International Conference on Decision Aid Sciences and Application (DASA)
Year: 2021

Title: Lithium prospection in Portugal for e-mobility and solar PV expansion
Publication: Commodities, 1(2), 98–114
Year: 2022

Title: Decision making in the electricity sector using performance indicators
Publication: Energy, Ecology and Environment, 2(1), 60–84
Year: 2017

Title: Prospection techniques for Oil and shale gas
Publication: International Journal of Petrochemistry and Research, Lisbon, Portugal, 3(1)
Year: 2019

Title: Oferta Estratégica da Geração em Mercados de Energia
Publication: ISEL, 1st Workshop in ISEL (18–19 October 2005)
Year: 2005

Title: ARDS mortality prediction model using evolving clinical data and chest radiograph analysis
Publication: Biomedicines, 12(2), 439
Year: 2024