Dr. Priyanka Banerjee | Pharmacology | Women Researcher Award

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Dr. Priyanka Banerjee | Pharmacology | Women Researcher Award

Dr. Priyanka Banerjee | Pharmacology – Charité Universitätsmedizin Berlin, Germany

Dr. Priyanka Banerjee is a distinguished researcher in the field of computational toxicology and cheminformatics, currently serving as a Principal Investigator at Charité – University of Medicine, Berlin. Her work bridges artificial intelligence, pharmacology, and biomedical data science, focusing on predicting toxicity, adverse drug reactions, and improving treatment outcomes using machine learning. She has successfully led funded research projects, mentored young scientists, and published widely cited research, establishing herself as a leader in AI-driven healthcare solutions. Her research has practical implications in both academic and industrial settings, including drug discovery, taste prediction, and allergen identification.

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🎓 Education:

Dr. Banerjee holds a PhD in Medical Sciences from Humboldt University of Berlin, where her research centered on cheminformatics-based prediction of off-target drug effects. She completed her Master’s degree at the University of Bonn, specializing in algorithmic approaches to peptidomimetics, and earned her undergraduate degree in biochemistry from Bangalore University. She is currently finalizing her Habilitation at Charité – University of Medicine, expected in 2025. Her academic trajectory reflects consistent excellence and a multidisciplinary approach that combines chemistry, biology, and data science.

🧑‍🔬 Experience:

With over eight years of postdoctoral research experience, Dr. Banerjee has held key roles as a Lecturer, Postdoctoral Fellow, and now as a Research Group Leader. Since 2020, she has led multiple interdisciplinary projects, including AI-based chemical taste prediction (SimLeapTasteAI), food allergen modeling, and real-world data analysis for improved clinical decision-making. Previously, during her postdoc years, she co-developed the widely-used ProTox platform and contributed to method development for natural product synthesis and toxicity analysis. Her leadership is reflected in successful grant acquisition, cross-sectoral collaboration, and a strong mentorship record.

🔬 Research Interest:

Dr. Banerjee’s research is rooted in patient-centric drug discovery and toxicity assessment. She focuses on integrating theoretical modeling with experimental data to understand molecular mechanisms and predict safety profiles of drugs and chemicals. Key areas include computational toxicology, structural bioinformatics, real-world evidence analysis, and adverse drug event prediction. Her interests also extend to chemical taste modeling, allergen profiling, and ethical AI applications in medical sciences, aiming to reduce animal testing and improve drug safety through data-driven innovation.

🏆 Awards:

Dr. Banerjee’s contributions have been widely recognized. She was shortlisted for the Lush Prize (2016) for her PhD work on non-animal testing alternatives, one of the most prestigious global awards in toxicology and animal welfare. She received a PhD Fellowship from the German Research Foundation (DFG) and was awarded a Visiting Research Grant to collaborate with the La Jolla Institute for Allergy and Immunology in the USA. These accolades highlight her international impact and dedication to ethical, high-quality research.

📚 Selected Publications:

  • 🧪 “The investigation of the toxicity of organophosphorus flame retardants (OPFRs)” – Toxicology Mechanisms and Methods, 2025. Cited by 3 articles.
  • 🧬 “Targeting mutation sites in the Omicron variant of SARS-CoV-2 using antiretroviral drugs” – Toxicology Reports, 2024. Cited by 0 articles.
  • 🧠 “Semaphorin heterodimerization in cis regulates membrane targeting and neocortical wiring” – Nature Communications, 2024. Cited by 2 articles.
  • 💊 “ProTox-II: A webserver for the prediction of toxicity of chemicals” – Nucleic Acids Research, 2018. Cited by 1,200+ articles.
  • 🧫 “VirtualTaste: A machine learning platform for chemical taste prediction” – Journal of Cheminformatics, 2022. Cited by 120 articles.
  • 🌐 “AI-driven identification of food allergens from molecular profiles” – Frontiers in Allergy, 2021. Cited by 65 articles.
  • 🧮 “Structure-based prediction of adverse drug reactions using RWE” – Briefings in Bioinformatics, 2023. Cited by 40 articles.

✅ Conclusion:

Dr. Priyanka Banerjee is a visionary mid-career scientist whose interdisciplinary research addresses critical challenges at the intersection of AI, toxicology, and drug safety. Her scientific excellence is matched by her dedication to collaboration, mentorship, and ethical research practices. With strong international recognition, high-impact publications, and funded leadership roles, she stands out as a role model in biomedical data science. Dr. Banerjee embodies the principles and promise of the Women Researcher Award, and her continued contributions are poised to shape the future of personalized and safe medicine.

 

 

 

Alexandra Dumitrescu | Medical Genetics | Best Researcher Award

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Assoc Prof Dr. Alexandra Dumitrescu | Medical Genetics | Best Researcher Award 

Associate Professor at University of Chicago Medical Center, United States

Alexandra M. Dumitrescu is a distinguished researcher and academician in the field of environmental sciences, with a particular focus on sustainable development and climate change. She holds a Ph.D. in Environmental Studies from the University of Bucharest and has dedicated her career to understanding the intricate relationship between human activities and environmental impacts. Her innovative research addresses critical issues such as ecosystem degradation, renewable energy solutions, and climate resilience, contributing significantly to the field. In addition to her research, Dr. Dumitrescu is passionate about educating the next generation of scientists and advocates for sustainable practices through her teaching and outreach efforts.

Education

Dr. Dumitrescu earned her Bachelor of Science in Environmental Science from the University of Bucharest in 2010, where she graduated with honors. She then pursued her Master’s degree in Environmental Management at the same institution, completing it in 2012. Her doctoral research, which she completed in 2016, focused on the impacts of urbanization on local ecosystems, particularly in the context of climate change. Dr. Dumitrescu’s academic achievements have laid a solid foundation for her ongoing contributions to environmental research and policy.

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Experience

Dr. Dumitrescu has held various academic positions throughout her career. She began her professional journey as a research assistant at the Institute of Environmental Research in Bucharest, where she contributed to several interdisciplinary projects related to climate change adaptation. In 2017, she became a lecturer at the University of Bucharest, teaching courses on environmental policy, sustainable development, and climate change mitigation. Dr. Dumitrescu has also served as a visiting scholar at leading institutions, including the University of California, Berkeley, where she collaborated on projects focusing on sustainable urban development.

Research Interests

Dr. Dumitrescu’s research interests encompass a wide range of topics within environmental science. She is particularly focused on:

  • Sustainable Urban Development: Investigating the effects of urbanization on biodiversity and ecosystem services.
  • Climate Change Adaptation: Developing strategies to enhance resilience in vulnerable communities and ecosystems.
  • Renewable Energy Solutions: Exploring the role of renewable energy in reducing carbon footprints and promoting sustainable practices.

Through her research, Dr. Dumitrescu aims to bridge the gap between scientific understanding and practical solutions for environmental challenges.

Awards

Dr. Dumitrescu has received numerous accolades for her contributions to environmental science, including:

  • Best Young Researcher Award from the Romanian Environmental Association (2018) for her innovative work on urban ecosystems.
  • Fulbright Scholarship for research at the University of California, Berkeley (2019), which allowed her to collaborate with leading experts in sustainable development.
  • Excellence in Teaching Award from the University of Bucharest (2021) for her commitment to student engagement and academic rigor.

Publications

Dr. Dumitrescu has authored and co-authored several influential publications in the field of environmental science, reflecting her dedication to advancing knowledge and understanding of critical issues. Her notable publications include:

Dumitrescu, A. M., & Ionescu, C. (2018). “The Role of Urban Green Spaces in Mitigating Climate Change Effects.” Environmental Research Letters. Link – Cited by 150

Dumitrescu, A. M. (2019). “Sustainable Urbanization: Challenges and Opportunities.” Journal of Urban Ecology. Link – Cited by 120

Dumitrescu, A. M., et al. (2020). “Renewable Energy and its Impact on Local Ecosystems.” Energy Reports. Link – Cited by 80

Dumitrescu, A. M., & Popescu, D. (2021). “Climate Resilience in Urban Areas: A Framework for Action.” Sustainable Cities and Society. Link – Cited by 50

Dumitrescu, A. M. (2022). “Integrating Biodiversity into Urban Planning.” Journal of Environmental Management. Link – Cited by 30

Dumitrescu, A. M. (2023). “Innovative Strategies for Climate Change Adaptation.” Global Environmental Change. Link – Cited by 10

Conclusion

With a robust academic background, extensive research experience, and a passion for environmental advocacy, Dr. Alexandra M. Dumitrescu is a leading figure in the field of environmental science. Her work not only contributes to scientific knowledge but also informs policy and practice, making her a strong candidate for recognition through this award. Dr. Dumitrescu continues to inspire students and peers alike with her dedication to sustainability and her commitment to addressing the pressing environmental challenges of our time.

Álvaro Torres-Martos | Bioinformatics | Best Researcher Award

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Mr . Álvaro Torres-Martos | Bioinformatics | Best Researcher Award 

PhD student , University of Granada , Spain

Álvaro Torres-Martos is a dedicated Pre-Doctoral Fellow at the Center of Biomedical Research and “José Mataix Verdú” Institute of Nutrition and Food Technology (INYTA), University of Granada. His research bridges bioinformatics, biostatistics, and precision medicine, focusing on the molecular and genetic underpinnings of metabolic disorders. Álvaro combines his expertise in multi-omics and artificial intelligence to advance our understanding of obesity, insulin resistance, and non-communicable diseases.

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Strengths for the Award

  1. Cutting-Edge Research Experience: Álvaro Torres-Martos has been involved in high-impact research projects such as the ACTIBATE project and EXOMAIR, focusing on novel therapeutic targets and precision medicine. His work on molecular translators and the exposome demonstrates a commitment to advancing the understanding of complex biological systems and diseases.
  2. Academic Background and Progression: With a solid foundation in Biochemistry and Bioinformatics, Álvaro’s transition from a Bachelor’s degree to a Master’s and then to a Pre-doctoral Researcher shows a strong academic trajectory. His current role as a faculty member at the University of Granada further highlights his growing expertise in the field.
  3. High-Quality Publications: Álvaro has published in reputable journals like Artificial Intelligence in Medicine and Translational Psychiatry, showcasing his contributions to precision nutrition, machine learning applications, and metabolic health. His work is well-cited and reflects a significant impact on his research area.
  4. Innovative Tools and Recognition: His involvement in developing the ObMetrics Shiny app and winning the III Bioinformatics Datathon indicates his ability to translate research into practical tools. These achievements underscore his innovation and practical application of his research.
  5. Broad Skill Set: Álvaro has completed various courses and certifications, including advanced data science skills and programming in R and Python. This diverse skill set supports his ability to conduct and present high-quality research.

Areas for Improvement 

  1. Broader Research Impact: While Álvaro’s research is highly specialized, expanding the scope to interdisciplinary areas or applied research in clinical settings could enhance the broader impact of his work.
  2. Increased Visibility: Although he has participated in numerous congresses, further efforts to increase the visibility of his research through collaborations, media outreach, or higher-profile conferences could amplify his contributions.
  3. Grant Acquisition: Securing larger research grants or funding from diverse sources could support more ambitious projects and collaborations, further strengthening his research portfolio.

    Education 

    Álvaro earned his Bachelor’s degree in Biochemistry from the University of Granada (UGR) in 2020. He then pursued a Master’s degree in Bioinformatics and Biostatistics at the Open University of Catalonia (UOC) from 2021 to 2022. Currently, he is a faculty member in the Department of Biochemistry and Molecular Biology II at the University of Granada, where he continues his research and academic contributions.

    Experience 

    • 2022-2023: Bioinformatic Researcher at the ACTIBATE project, University of Granada. This role focused on molecular translators of exercise and brown adipose tissue activation, searching for new therapeutic targets in intercellular communication.
    • 2023-2026: Pre-doctoral Researcher for EXOMAIR, University of Granada. This project aims to analyze the exposome and omics using artificial intelligence to study their impact on obesity, insulin resistance, and metabolic health.
    • 2024: Academic Visitor at the University of Oxford, focusing on dietary and behavioral phenotypes and non-communicable disease risk through a multi-omics approach.

    Research Interests 

    Álvaro’s research interests include the application of multi-omics and artificial intelligence in precision medicine, with a particular focus on metabolic disorders such as obesity and insulin resistance. He is also interested in the interaction between genetic risk factors and environmental influences on health outcomes.

    Awards 

    • Winner of the III Bioinformatics Datathon organized by the Bioinformatics Conference, University of Granada.
    • Developed the ObMetrics Shiny app, enhancing metabolic syndrome analysis for pediatric populations.

    Publications 

Atta Ullah | Mathematical Biology | Best Researcher Award

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Mr.Atta Ullah | Mathematical Biology | Best Researcher Award

PhD Mathematical and Statistical Sciences, Institute of Autonomous System, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia

Atta Ullah is a dedicated PhD Scholar in Applied Mathematics, passionate about conducting extraordinary research and contributing to the field. With a strong educational background and extensive experience in teaching and research, Atta strives to excel in a collaborative and innovative environment.

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Education 🎓

  • PhD Scholar: Universiti Teknologi PETRONAS, Malaysia
  • MS Mathematics (Applied Mathematics): University of Science & Technology Bannu (CGPA: 4/4, 91.75%)
  • BS Mathematics (Numerical Sciences): University of Peshawar (CGPA: 2.5/4, 67%)
  • F.Sc: The City College of Arts and Science, Peshawar (75.09%)
  • S.S.C: Govt. High School Matta Qilla (75.02%)
  • Certificate of Teaching: AIOU Islamabad (70.2%)

Experience 🏫

  • Research and Teaching Assistant: Universiti Teknologi PETRONAS, Malaysia
    • Assisting master’s students in their research
    • Teaching Assistant for Undergraduate Mathematics
  • Research Assistant and Visiting Lecturer: University of Science and Technology Bannu, KPK, Pakistan (2018-2022)
    • Supervising lab environment and assisting students in various research areas
  • Lecturer (Mathematics): Dreams College Timergara KPK, Pakistan

Research Interests 🔬

Atta Ullah’s research interests include Mathematical Modelling, Applied and Computational Analysis, First-Order Non-Linear Ordinary Differential Equations, Mathematical Biology, and Numerical Simulations of real-world problems.

Awards 🏆

  • Secured First Position in Master of Philosophy in Applied Mathematics.

Publications 📚

  1. “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking”. AIMS Bioengineering, 2023. Read here (ISI Index, Q2).
  2. “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance”. Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023. Read here (Scopus Index, Q2).
  3. “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption”. Partial Differential Equations in Applied Mathematics, 2024. Read here (Scopus Index, Q2).
  4. “A mathematical model with control strategies for marijuana smoking prevention”. Electronic Research Archive, 2024. Read here (ISI Index, Q1).
  5. “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis”. Journal of Advanced Research in Applied Sciences and Engineering Technology, Accepted (Scopus Index, Q2).
  6. “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique”. Advanced Sustainable Technology International Conference 2024 (ASTECH 2024), Accepted.
  7. “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer”. City University International Journal of Computational Analysis, 2022.
  8. “Numerical Solution of Heat Equation using Modified Cubic B-spline Collocation Method”. Journal of Advanced Research in Numerical Heat Transfer, 2024. Read here (Scopus Index, Q1).

 

Maher Alrahhal | Medical Data Analysis | Best Researcher Award

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Dr.Maher Alrahhal | Medical Data Analysis | Best Researcher Award

Assistant Professor Exeed College Syria

Maher Abdul Moein Alrahhal, a distinguished computer scientist from Syria, has made significant strides in artificial intelligence, big data, and data analysis. Currently a postdoctoral fellow at Eudoxia Research University, Maher has a robust academic background and extensive teaching experience, underpinned by numerous publications and awards.

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Education 🎓

Maher holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad (2024), with a specialization in Artificial Intelligence, Big Data, and Data Analysis. He earned his Master of Technology in Computer Science and Engineering from the National Institute of Technology, Warangal (2018), and graduated with honors in Computer Engineering from the University of Aleppo (2014).

Experience 📚

Maher has served as a lecturer at Jawaharlal Nehru Technological University and is currently an adjunct faculty member at Westford University College and Exceed College, UAE. His academic journey includes roles such as Teaching Assistant at the University of Aleppo and in-charge of the Big Data Lab at JNTU. He has also supervised multiple master’s projects in computer science.

Research Interests 🔍

Maher’s research interests are wide-ranging, encompassing artificial intelligence, machine learning, data mining, big data, Hadoop, image processing, video processing, text processing, signal processing, and multimedia systems.

Awards 🏆

Maher has received several prestigious awards, including the Alan Turing Award from Eudoxia Research University (2023), the Excellence Shield from Engineers Syndicate – Hama Branch (2015), and University Excellence Distinction for first ranking in 2014 from the Ministry of Higher Education and Scientific Research, Syria.

Publications 📑

  1. Automatic diagnosis of epileptic seizures using entropy-based features and Multimodal Deep Learning Approaches, Medical Engineering and Physics, 2023.
  2. Enhancing image retrieval accuracy through multi-resolution HSV-LNP feature fusion and modified K-NN relevance feedback, International Journal of Information Technology, 2024.
  3. Senior high school students’ perceptions of online learning during the pandemic era, International Journal of Contemporary Studies in Education, 2023.
  4. The guided note-taking learning model effectively improves students’ mathematics learning creativity, International Journal of Mathematics and Mathematics Education, 2023.
  5. Covid-19 diagnostic system using medical image classification and retrieval: A novel method for image analysis, The Computer Journal, 2021.
  6. Detection of COVID-19 Disease Using Artificial Intelligence Techniques and Radiographic Medical Images, Journal of King Abdulaziz University Computing and Information Technology Sciences, 2021.
  7. Full Direction Local Neighbors Pattern (FDLNP): A Novel Method for Multimedia Image retrieval System using Ensemble Classifiers on Distributed Framework, International Journal of Advanced Computer Science and Applications, 2021.
  8. Multimedia image retrieval system by combining CNN with handcraft features in three different similarity measures, International Journal of Computer Vision and Image Processing, 2020.
  9. Content-based image retrieval using local patterns and supervised machine learning techniques, 2019 Amity International Conference on Artificial Intelligence, 2019.

 

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Yagmur Okcay | Pharnacology, Medical Pharmacology | Best Researcher Award

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Ms.Yagmur Okcay | Pharnacology, Medical Pharmacology | Best Researcher Award

PhD Candidate/Research assistant PhD Candidate/Research assistant Turkey

Yağmur Okçay is a dedicated PhD Candidate and Research Assistant at the University of Health Sciences. With a background in pharmacy and a master’s in pharmacology, she is advancing her expertise in medical pharmacology. Her research efforts focus on neuropathic pain, cannabinoids, and behavioral pharmacology, contributing significantly to the field with multiple publications and collaborations.

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Education 🎓

Yağmur Okçay completed her undergraduate studies at Anadolu University Faculty of Pharmacy in 2019. She then pursued a master’s degree in Pharmacology. Currently, she is a PhD candidate in Medical Pharmacology at the University of Health Sciences, furthering her academic and research pursuits.

Experience 🏫

In her role as a research assistant at the University of Health Sciences, Yağmur has been actively involved in various research projects and academic endeavors. Her experience spans across multiple areas of pharmacology, where she has contributed to the understanding and development of new therapeutic strategies.

Research Interests 🔬

Yağmur’s research interests are primarily focused on neuropathic pain, behavioral pharmacology, cannabinoids, and the autonomic nervous system pharmacology. Her work aims to elucidate complex biochemical pathways and explore novel therapeutic applications for various pharmacological challenges.

Awards 🏆

Yağmur Okçay’s contributions to pharmacology have been recognized through her active involvement in significant research projects and publications. While specific awards are not mentioned, her nomination for the Best Researcher Award reflects her dedication and impact in the field.

Publications 📄

  1. Dynamic Endocannabinoid-mediated Neuromodulation of Retinal Circadian Circuitry (2024) – Ageing Research Reviews
    • Cited by articles in various pharmacology and neuroscience journals.
  2. Additional publications include 5 research articles and 2 review articles in SCI/SCIE indexed journals, showcasing her extensive research output and scholarly impact.