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

Google Scholar

🎓 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

Rahele Khosravi neissiani | Chemical Engineering | Best Researcher Award

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Ms.Rahele Khosravi neissiani |Chemical Engineering | BestResearcherAward

Ms. Rahele Khosravi neissiani Sahand University of Technology , Iran

Ms. Rahele Khosravi Nessiani is a master’s student in the Department of Chemical Engineering at Sahand University of Technology in Tabriz, Iran. She earned her Bachelor of Applied Mathematics from Payam Noor University in 2016, where she conducted research on Goldbach’s conjecture. She completed her Master’s in Chemical Engineering with a focus on Biotechnology at Sahand University of Technology in 2019. Her research interests include biochemical engineering, bioprocess engineering, fermentation technology, wastewater treatment, and nanomagnetic materials.She has co-authored publications on topics such as the green synthesis of silver nanoparticles and their antibacterial properties, as well as the development of skin disease treatments based on exosome technology.

Publication Profile

Google scholar

Academic Background🎓

Rahele Khosravi Nesiani earned her MS in Chemical Engineering-Biotechnology from Sahand University of Technology, Tabriz, Iran in October 2020, with a GPA of 3/4. Her thesis was titled “Biosynthesis of silver nanoparticles using aqueous and oily extracts of clove and its biological effects on the bacteria causing tooth decay (Streptococcus mutans) and gastric ulcer (Helicobacter pylori),” under the supervision of Professor Hoda Jafarizadeh Malmiri. She completed her BS in Applied Mathematics from Payam Noor Dolatabad University, Esfahan, Iran in October 2013, with a GPA of 2.72/4. Her thesis was “A new solution to the Goldbach conjecture,” under Professor Hassam.

Professional Experience💼

Rahele Khosravi Nesiani is an experienced chemical engineer specializing in biotechnology, nanotechnology, and sustainable material development. She has been working as a Freelancer in Scientific Research & Product Development since 2019, where she designed natural solid perfumes, conducted research in green synthesis, and collaborated on interdisciplinary projects. She is currently leading a project as a Project Leader at Nano Company (2023 – Present), developing high-efficiency antibacterial and antiviral filters for medical applications using green synthesis techniques. Additionally, she worked as a Researcher at Sahand University of Technology (2018 – 2020), where she synthesized and analyzed nanoparticles for antibacterial and anti-inflammatory applications, publishing her findings in peer-reviewed journals.

Awards and Honors🏆

Gold Medal at the 2022 American Invention Exhibition for developing an Antibacterial Filter.Ranked among the Top 10 in Iran’s Ph.D. entrance exam.Authored several high-impact articles in international journals.

Research Focus🔬

Her research focuses on biotechnology, nanotechnology, and sustainable materials, particularly green synthesis of nanoparticles and their applications in environmental and health-related fields. She has worked on developing antibacterial and antiviral filters, silver nanoparticle biosynthesis, and innovative solutions for cancer treatment.

Publication Top Notes

  • Asadi, Z., Saki, M., Khosravi, R., Amin, M., Ghaemi, A., & Akrami, S. (2024). Green Synthesis of Silver Nanoparticles Using Extracts of Cocculus Pendulus: Morphology and Antibacterial Efficacy Against Common Nosocomial Pathogens. Indian Journal of Microbiology, 1-10.

  • Beihaghi, M., Sahebi, R., Beihaghi, M. R., Nessiani, R. K., Yarasmi, M. R., Gholamalizadeh, S., & Shojaei, M. (2023). Evaluation of rs10811661 polymorphism in CDKN2A/B in colon and gastric cancer. BMC Cancer, 23(1), 985.

  • Beihaghi, M., Sahebi, R., Beihaghi, M. R., Nessiani, R. K., & Ramian, M. (2023). Diagnosis of Colon Cancer Using LncRNA ROR Gene Biomarker. Bio Med, 15, 531.

  • Ahmadzadeh, K., & Khosravi Nesiani, R. (2023). An overview of soil and dust fixation. Water and Environmental Sustainability, 3(1), 31-35.

  • Khosravi Nesiani, R., Hoda Jafarizadeh Malmiri. (Under Review). Evaluation of four different green production methods for synthesizing silver nanoparticles using clove’s blue extract.

  • Khosravi Nesiani, R., Hoda Jafarizadeh Malmiri. (Under Review). Biosynthesis of silver nanoparticles using aqueous extracts of cloves and its antibacterial activity.

  • Khosravi Nesiani, R., Hoda Jafarizadeh Malmiri. (Under Review). Green synthesis of silver nanoparticles using clove extract and its potential application to control pathogenic bacteria Streptococcomutans and Helicobacter pylori.

  • Khosravi Nesiani, R., Pohl, P. (Under Review). Green synthesis of silver nanoparticles using clove extract and its potential application to control pathogenic bacteria and cancer.

  • Khosravi Nesiani, R. et al. (Under Review). Biosynthesis of selenium nanoparticles with Yarrow plant extract and its biological effects on Gram-negative and positive bacteria.

  • Khosravi Nesiani, R. et al. (Under Review). Using human antibody and pegylated nanodrugs to simulate the treatment of a brain tumor. Journal of Pharmaceutical Research.

Conclusion

Considering her expertise, contributions to high-impact research, and demonstrated leadership in developing innovative solutions, Rahele Khosravi Nesiani is a suitable candidate for the Best Researcher Award. However, enhancing collaboration and citation metrics could further solidify her standing.