William Trogler | Biomedical | Best Researcher Award

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Prof. William Trogler | Biomedical | Best Researcher Award

Prof. William Trogler, University of California San Diego, United States

Prof. William C. Trogler is Professor Emeritus of Chemistry and Biochemistry at UCSD. 🎓 He earned B.A. and M.A. degrees from Johns Hopkins University (1974) and a Ph.D. from Caltech. 🧪 His research spans inorganic chemistry, photochemistry, catalysis, and environmental science, with recent work on luminescent sensors, vapor detectors, and nanoparticles. 🔬 He has authored 200+ papers, 15 patents, and two books. 💡 A mentor to 35+ Ph.D. students, he’s also served on national advisory boards for explosives detection. 🎖 Honors include AAAS Fellow, Sloan Fellowship, and Phi Beta Kappa. 📚 He taught from intro chemistry to advanced kinetics.

Publication Profile

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🎓 Educational Background

Prof. William C. Trogler is a distinguished chemist with an impressive academic journey. 🎓 He earned both his B.A. and M.A. degrees in Chemistry from Johns Hopkins University in 1974, followed by a Ph.D. from Caltech. 🧪 His academic career began at Northwestern University in 1977 before he joined the University of California, San Diego (UCSD) in 1983. 🏫 He also demonstrated leadership by serving as interim associate chancellor at UCSD from 2004 to 2005. 📊 His path reflects not only scholarly excellence but also strong administrative capabilities, contributing significantly to both research and academic governance.

🏅 Honors & Recognition

Prof. William C. Trogler has received numerous prestigious honors throughout his career. 🏆 He was awarded the Alfred P. Sloan Research Fellowship, the du Pont Young Faculty Fellowship, and the Rohm and Haas Faculty Fellowship, recognizing his early promise and impactful contributions. 🌟 He is also a Fellow of the American Association for the Advancement of Science (AAAS), a testament to his excellence in scientific research. 🧠 His leadership extends to national service, having served on NRC committees and science advisory boards, influencing research directions in explosives detection and science policy at the national level.

🔬 Research Focus

Prof. Trogler’s research spans diverse areas of inorganic and materials chemistry, with strong emphasis on explosives detection 💣 using luminescent polymers, nanoparticle-based biomedical sensors 🧫, and chemiresistive gas sensors 🌫️. He is renowned for pioneering work on photoluminescent polymer sensing, surface functionalization of nanoparticles 🧪, and environmental chemistry 🌍. His studies on chemical warfare agents ☣️, nitrous oxide emissions 🧭, and organometallic reaction mechanisms ⚗️ have had wide-reaching scientific and societal impact. With highly cited work and interdisciplinary collaboration, his research bridges chemistry, nanotechnology, and public safety

Publication Top Notes

📘 Polymer sensors for nitroaromatic explosives detection – Cited by: 1159 (📅 2006)
📘 Detection of nitroaromatic explosives based on photoluminescent polymers containing metalloles – Cited by: 787 (📅 2003)
📘 Synthesis and surface functionalization of silica nanoparticles for nanomedicine – Cited by: 635 (📅 2014)
📘 Detection of fluorophosphonate chemical warfare agents by catalytic hydrolysis – Cited by: 407 (📅 2000)
📘 Nylon production: an unknown source of atmospheric nitrous oxide – Cited by: 403 (📅 1991)
📘 Luminescent silole nanoparticles as chemoselective sensors for Cr (VI) – Cited by: 384 (📅 2005)
📘 Detection of TNT and picric acid on surfaces and in seawater using polysiloles – Cited by: 375 (📅 2001)
📘 Explosives sensing with silole- and silafluorene-based polymers – Cited by: 333 (📅 2007)
📘 Comparative gas sensing with phthalocyanine chemiresistors – Cited by: 323 (📅 2009)
📘 Gas sensing mechanism in cobalt and metal-free phthalocyanine films – Cited by: 265 (📅 2007)
📘 Detection of nitrobenzene, DNT, and TNT via porous silicon photoluminescence – Cited by: 247 (📅 2000)
📘 Blue-emitting silafluorene–fluorene polymers for explosives detection – Cited by: 239 (📅 2008)
📘 Properties and formation mechanisms of nitrous oxide – Cited by: 223 (📅 1999)

Khadijeh Farrokhfall | Physiology | Best Researcher Award

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Dr. Khadijeh Farrokhfall | Physiology | Best Researcher Award

Associated Professor at Birjand University of Medical science, Birjand, Iran

Dr. Khadijeh Farrokhfall is an Associate Professor of Physiology at Birjand University of Medical Sciences, with over 10 years of academic and research experience 🧪. Her expertise spans clinical research, molecular biology, and metabolic physiology. She has contributed to high-impact publications on insulin secretion, nitric oxide pathways, drug toxicology, and medical education innovation. Her interdisciplinary work reflects a strong commitment to advancing both scientific knowledge and student learning 📘. Dr. Farrokhfall’s research is recognized in journals such as Nitric Oxide, Critical Reviews in Toxicology, and Evidence-Based Complementary and Alternative Medicine, making her a notable figure in biomedical sciences.

Professional Profile

Orcid

Scopus

Academic Background

Dr. Khadijeh Farrokhfall holds advanced academic qualifications in physiology and biomedical sciences, which have laid the foundation for her successful research career. She pursued her higher education in Iran, specializing in molecular biology and clinical research, with a focus on physiological mechanisms related to insulin regulation and metabolic health 🧬. Her academic training equipped her with strong laboratory and analytical skills, enabling her to contribute meaningfully to interdisciplinary studies. Throughout her education, she demonstrated a keen interest in exploring the biological effects of natural compounds and drug responses, which continues to influence her innovative research work and teaching today.

Professional Experience

Dr. Khadijeh Farrokhfall has served as a faculty member at Birjand University of Medical Sciences for over a decade, currently holding the position of Associate Professor in the Department of Physiology. Since 2015, she has contributed extensively to both teaching and research, mentoring students and leading scientific investigations in molecular biology, endocrinology, and clinical research 🧪. Her work spans areas such as nitric oxide pathways, metabolic disorders, and drug safety. In addition to her academic responsibilities, she actively collaborates on interdisciplinary research projects, publishes in reputable journals, and plays a significant role in curriculum development and academic leadership.

Research Focus

Dr. Khadijeh Farrokhfall’s research primarily centers on molecular physiology, with a special focus on insulin regulation, nitric oxide signaling, and the impact of natural compounds on metabolic disorders. She investigates the biochemical and physiological mechanisms involved in diabetes, obesity, and drug-induced complications, aiming to discover novel therapeutic approaches 🧬. Her interdisciplinary work also extends to clinical toxicology and the educational application of visual learning in medical humanities. Through her publications and collaborative studies, she contributes to advancing knowledge in both basic and applied biomedical sciences, positioning her research at the intersection of clinical relevance and scientific innovation.

Publication Top Notes

📘 Comparison of the Effectiveness of Visual Thinking Strategy Between Persian Miniature and Classical Painting in Learning Medical Humanities
Year: 2022 | Cited by: 2 📚

🧪 The Effect of Cinnamaldehyde on iNOS Activity and NO-Induced Islet Insulin Secretion in High-Fat-Diet Rats
Year: 2021 | Cited by: 9 🔬

💊 Tramadol and the Occurrence of Seizures: A Systematic Review and Meta-analysis
Year: 2019 | Cited by: 64 📈

🧬 Nitrite Increases Glucose-Stimulated Insulin Secretion and Islet Insulin Content in Obese Type 2 Diabetic Male Rats
Year: 2017 | Cited by: 25 🧠

🔍 Comparison of Inducible Nitric Oxide Synthase Activity in Pancreatic Islets of Young and Aged Rats
Year: 2015 | Cited by: 15 🧫

Conclusion

Dr. Khadijeh Farrokhfall is a highly accomplished researcher and Associate Professor at Birjand University of Medical Sciences, with over a decade of expertise in physiology, molecular biology, and clinical research. Her impactful and interdisciplinary contributions span insulin regulation, metabolic disorders, toxicology, and innovative approaches in medical education. With a proven track record of high-quality publications and collaborative research, she demonstrates academic excellence, scientific innovation, and educational leadership. Dr. Farrokhfall’s consistent productivity and diverse research portfolio make her a highly suitable candidate for the Research for Best Researcher Award, reflecting both depth and breadth in biomedical science.

 

 

Jovana Panic | Biomedical engineering | Best Researcher Award

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Dr. Jovana Panic | Biomedical engineering | Best Researcher Award

Dr. Jovana Panic, Osaka University, Japan

Dr. Jovana Panic is a Postdoctoral Researcher at the Institute of Datability Science, Osaka University, Japan. Born on November 14, 1994, she specializes in biomedical engineering, artificial intelligence, and medical image analysis. With strong intercultural skills developed through volunteering and theater experiences, she is a multilingual collaborator fluent in Italian, English, Serbian, and Japanese. She holds a Ph.D. in Bioengineering and Surgical Sciences from the Polytechnic University of Turin. Her work focuses on AI-driven solutions for medical imaging, particularly retinal and oncological applications. Dr. Panic is passionate about merging technology and healthcare for precision diagnostics. 🌍🧠📊

Publication Profile

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🎓 Education

Dr. Panic earned her Ph.D. in Bioengineering and Medical-Surgical Sciences from the Polytechnic University of Turin and the University of Turin in March 2024 with an “Excellent” grade. Her research focused on AI-driven MRI systems for cancer detection. She holds a Master’s degree in Biomedical Engineering (2019) with a grade of 109/110, and a Bachelor’s degree in Biomedical Engineering (2016) with 100/110, both from the Polytechnic University of Turin. Her academic background includes biomedical signal processing, clinical informatics, and bioimaging. She completed high school at Scientific High School “Carlo Cattaneo,” Turin, in 2013 with a score of 93/100. 🎓📘🔬

💼 Experience

Dr. Panic began her postdoctoral role at Osaka University in April 2024, working on AI systems for retinal fundus image analysis. From 2020 to 2024, she was a Ph.D. student and teaching assistant in AI and biomedical engineering at the Polytechnic and University of Turin. She contributed to research at the Candiolo Cancer Institute, developing AI models for rectal and prostate cancer MRI analysis. Her earlier experiences include a research fellowship (2019–2020), clinical engineering at Cellini Humanitas Hospital, and a master’s thesis on DL-based segmentation of rectal cancer. Her multidisciplinary roles demonstrate her commitment to medical AI innovation. 🏥🖥️📈

🏅 Awards & Honors

Dr. Panic has been involved in multiple prestigious European and national research projects, including AIRC, Horizon 2020, and Ministry of Health grants. These projects supported her work in AI-based segmentation, response prediction, and virtual biopsy systems for rectal and prostate cancers. Her Ph.D. research received an “Excellent” grade, recognizing her contributions to oncological imaging. She also served as a teaching assistant in graduate and medical programs, reflecting academic trust in her expertise. Additionally, she received internship and research fellow opportunities at leading institutions like the Candiolo Cancer Institute and Humanitas Hospital, underscoring her promising research trajectory. 🧠🏆📚

🔬 Research Focus

Dr. Panic’s research integrates artificial intelligence and biomedical imaging for clinical applications. Her primary focus is on radiomics and deep learning algorithms for automated cancer detection and characterization in MRI and retinal images. She developed convolutional neural networks (CNNs) for rectal and prostate cancer analysis and is currently exploring AI-based retinal fundus image systems. Her work spans radiology, surgical sciences, and data science, aiming to enhance diagnostic precision through AI-powered clinical decision tools. Through her interdisciplinary research, she bridges computer science and medicine to revolutionize cancer imaging and eye disease diagnostics. 🧬💻🩺

Publication Top Notes

  • 🧠📊 Radiomics and MRI of rectal cancer: from engineering to clinical practice – 51 citations, 2021

  • 🧬🤖 MRI-based radiomics to predict response in rectal cancer: manual vs automatic segmentation – 28 citations, 2022

  • 🧠📈 CNN-based system for colorectal cancer segmentation on MRI – 23 citations, 2020

  • 💉🧮 Radiomics to predict chemo response in liver metastases (CT images) – 15 citations, 2020

  • 📊🏥 Normalization strategies in multi-center abdominal MRI radiomics: review/meta-analysis – 12 citations, 2023

  • 🧪⚙️ Normalization improving robustness of MRI radiomics – 9 citations, 2023

  • 🧬💊 Predicting resistance to 1st line chemo in liver metastatic colorectal cancer – 9 citations, 2021

  • 🔍🧠 Deep learning for prostate segmentation on T2w MRI – 7 citations, 2021

  • 🩻🔬 Virtual biopsy in abdominal pathology: current status – 6 citations, 2023

  • 🤖🧠 Fully automatic DL segmentation of rectal cancer (multi-center) – 6 citations, 2022