Shima Shafiee | Cell Structure Analysis | Best Researcher Award

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Dr. Shima Shafiee | Cell Structure Analysis | Best Researcher Award

Dr. Shima Shafiee, Razi University, Iran

Shima Shafiee is an accomplished Iranian researcher specializing in computer systems architecture and bioinformatics, with a strong focus on machine learning applications in biological data analysis. She recently earned her Ph.D. in Computer Engineering from Razi University, where she focused on predictive modeling of protein-peptide binding interactions. Currently under consideration at the IDEL Lab, Shahid Bahonar University of Kerman, Shima has authored numerous national and international publications. With a rich background in algorithm optimization and artificial intelligence, her research stands at the intersection of computational biology, deep learning, and evolutionary algorithms. Shafiee’s work has contributed to the development of predictive tools in bioinformatics, such as DP-site and SPPPred, and she consistently ranks at the top of her academic cohort. Her ability to integrate traditional computer engineering concepts with advanced biological research makes her a notable candidate for the Best Researcher Award.

Publication Profile: 

Google Scholar

Strengths for the Award:

  1. Strong Academic Foundation
    Dr. Shafiee has a stellar academic record, graduating first in her Ph.D. class at Razi University with a CGPA of 3.77 and a thesis grade of 3.98, under the supervision of respected experts in computer engineering and bioinformatics.

  2. Innovative Interdisciplinary Research
    Her research bridges computer systems architecture, machine learning, and bioinformatics, with notable contributions to protein-peptide binding prediction, a critical domain in drug discovery and computational biology.

  3. High-Impact Publications
    She has published in IEEE/ACM Transactions, Applied Soft Computing, and Methods, reflecting both quality and visibility in international forums. Tools like SPPPred and DP-site demonstrate her practical impact in bioinformatics.

  4. Research Originality and Versatility
    Dr. Shafiee has developed hybrid models combining genetic programming, support vector machines, and deep learning, with practical tools and open-source contributions.

  5. Early Recognition and Outreach
    She has been active in academic dissemination since 2015, with selected papers in national and international conferences, showing early promise and consistency.

  6. Teaching and Mentorship
    Through her roles as a lecturer at multiple institutions, she has contributed to academic growth at the grassroots level.

Areas for Improvement:

  1. International Collaboration & Visibility
    While her publication quality is strong, Dr. Shafiee could expand her global visibility through collaborations with international research labs, EU Horizon, or NIH-funded projects.

  2. Post-Ph.D. Grant Applications
    She could benefit from applying for independent research grants or postdoctoral fellowships to lead projects that could shape the future of AI in biology.

  3. Open-Source Software and Data Availability
    While her models are impactful, increased accessibility via open-source repositories (e.g., GitHub) would boost reproducibility and encourage broader adoption.

  4. Industry Impact Metrics
    More emphasis on industry collaborations, patents, or application of models in clinical/biotech settings would enhance translational impact.

Education:

Shima Shafiee completed her Ph.D. in Computer Engineering (2016–2024) from Razi University, specializing in Computer Systems Architecture. Her dissertation titled “Application of learning-based models in predicting of protein-peptide binding interactions” earned her a thesis grade of 3.98/4.00 and an overall CGPA of 3.77. She worked under the guidance of Dr. Abdolhossein Fathi and Dr. Ghazaleh Taherzadeh, focusing on bioinformatics using deep learning, ensemble learning, and evolutionary algorithms. Prior to her Ph.D., she was ranked third in her Master’s program (2015). Shafiee’s educational background is rooted in computational problem-solving, algorithm development, and cross-disciplinary research involving biological data. Her consistent academic excellence and high-ranking performance culminated in her being recognized as the top Ph.D. student in 2025, a testament to her dedication and scholarly capabilities. Her education blends rigorous theory with innovative applied research, making her exceptionally well-prepared for high-impact contributions in academia and industry.

Experience:

Shima Shafiee’s experience spans both academic and applied computer engineering roles. She began her journey with an internship at Kimia Pardaz Pars Company (2013). Between 2015 and 2016, she served as a lecturer for computer fundamentals at Fajr High School and Al-Zahra Seminary School in Jiroft, where she taught introductory computer science to pre-university students. These experiences highlight her foundational teaching skills and outreach to educational institutions in her community. Her major academic contribution began during her Ph.D., where she collaborated with IDEL Lab and contributed to developing tools like SPPPred and DP-site, combining genetic programming, support vector machines, and deep learning to predict protein-peptide binding regions. Her experience uniquely blends educational outreach, algorithmic development, and publication-driven research in machine learning, optimization, and computational biology, reflecting her versatility and impact across the scientific and academic spectrum.

Awards & Honors:

Shima Shafiee has earned multiple distinctions recognizing her academic and research excellence. In 2015, she was named the third-place student in her Master’s program, demonstrating early academic excellence. Her continuous dedication to research and scholarship led her to be recognized as the first-place student in her Ph.D. program in 2025. One of her papers was selected at the 2nd International Congress of Electrical Engineering, Computer Science, and Information Technology (2015), highlighting the innovation and relevance of her early research in optimization algorithms. Her high publication output, including appearances in top-tier venues like IEEE/ACM Transactions on Computational Biology and Bioinformatics and Applied Soft Computing, reflects a consistent standard of excellence. These honors collectively showcase her as a standout figure in her field, with both academic and applied contributions acknowledged at national and international levels.

Research Focus:

Shima Shafiee’s research lies at the intersection of machine learning, bioinformatics, and computational systems engineering. Her primary focus is the prediction of protein-peptide binding interactions using intelligent algorithms such as genetic programming, ensemble models, and deep learning techniques. She has proposed several innovative hybrid models combining sequence-based and structure-based features to identify critical interaction residues. Her doctoral thesis and publications have led to the development of tools like SPPPred and DP-site, which aid in biological sequence analysis, with applications in drug discovery, protein function prediction, and biomedical engineering. Shafiee also has a strong background in optimization algorithms, especially particle swarm optimization (PSO), applied to computationally intensive problems like bin packing. Her ability to blend theoretical computing with practical biological data analysis makes her contributions valuable to both computational scientists and biologists, and positions her as a leading candidate for research recognition awards in AI and bioinformatics.

Publications Top Notes: 

  • 🧠 SPPPred: sequence-based protein-peptide binding residue prediction using genetic programming and ensemble learning (IEEE/ACM TCBBS, 2022)

  • 🔍 Prediction of protein–peptide-binding amino acid residues regions using machine learning algorithms (CSICC, 2021)

  • 🧬 Combination of genetic programming and SVM-based prediction of protein-peptide binding sites (Journal of Computing and Security, 2021)

  • 🧪 Prediction of protein–peptide binding residues using classification algorithms (IEEE Bioengineering Conf, 2020)

  • 🧠 A Review of the Uses of AI in Protein Research (Peptide Science Conf, 2019)

  • 🤖 DP-site: dual deep learning method for protein-peptide interaction site prediction (Methods, 2024)

  • 🧬 Protein-peptide interaction region prediction using generative sampling & ensemble DL (Applied Soft Computing, 2025)

  • 🧠 Comparing classification vs. segmentation predictors in protein-peptide interaction (CSICC, 2025)

  • 🧬 Leveraging structure-based and learning-based predictors in protein-peptide interaction (ICCKE, 2024)

  • 📘 Application of learning-based models in protein-peptide binding (Ph.D. Dissertation, 2024)

Conclusion:

Dr. Shima Shafiee is a highly suitable candidate for the Best Researcher Award based on her academic excellence, interdisciplinary research achievements, and consistent contributions to the fields of artificial intelligence and bioinformatics. Her ability to bridge computer science and biological challenges has resulted in meaningful and applicable solutions. She has displayed originality, depth, and foresight in her work, developing novel methods that align with modern computational biology trends.

Raphaël Rodriguez | Molecular Mechanisms Signaling | Best Researcher Award

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Prof. Raphaël Rodriguez | Molecular Mechanisms Signaling | Best Researcher Award

Prof. Raphaël Rodriguez , CNRS, Institut Curie, France

Raphaël Rodriguez, born October 27, 1978, in Avignon, France, is a pioneering chemical biologist and Research Director at CNRS, Principal Investigator at Institut Curie, and holder of the Skłodowska-Curie Chair of Chemical Biology. A French citizen with two children, Lucía del Mar and Aramis, Rodriguez is renowned for bridging chemistry and biology to unlock the molecular secrets of cancer and inflammation. Trained in the UK under legendary scientists Sir J. E. Baldwin, Sir S. Balasubramanian, and Sir S. P. Jackson, he returned to France to launch groundbreaking research on ferroptosis and metal regulation in cell adaptation. His entrepreneurial and academic excellence earned him numerous accolades, including the National Order of Merit. With more than 130 publications and several successful biotech ventures, Rodriguez continues to shape the future of medical science with bioactive molecules like Ironomycin and Pyridostatin. He is an editorial board member, reviewer, teacher, and a public voice on science.

Publication Profile:

Google Scholar

✅ Strengths for the Award:

  1. Pioneering Scientific Impact:
    Dr. Rodriguez has contributed over 130 high-impact publications in top-tier journals like Nature, Science, JACS, Nature Chemistry, and Cell Metabolism. His work has helped define ferroptosis, a form of programmed cell death, and metal regulation in cancer—a game-changing area in molecular medicine.

  2. Innovation & Translation:
    He discovered and commercialized small molecules such as Pyridostatin, Ironomycin, and Supformin, directly impacting both science and therapeutics. His work bridges fundamental science and drug discovery.

  3. Leadership & Mentorship:
    From mentoring under renowned scientists to leading his own lab at Institut Curie, he has shaped France’s next generation of researchers in chemical biology.

  4. Recognition & Awards:
    His extensive list of prestigious awards, including the CNRS Silver Medal, Liliane Bettencourt Prize, and Knight of the National Order of Merit, reflect peer recognition on national and international levels.

  5. Entrepreneurship:
    As a co-founder of biotech companies (e.g., Adrestia Therapeutics, later acquired), he has demonstrated a rare capacity to translate discoveries into clinical and commercial value.

  6. Scientific Influence:
    Editorial board memberships and frequent invitations to over 160 major conferences show his reputation as a global thought leader in his field.

🔧 Areas for Improvement:

  1. Public Engagement Scaling:
    Although Dr. Rodriguez is active in media (radio, TV, print), expanding international science outreach (e.g., global science festivals, public lectures, social media presence) could help further democratize his scientific message.

  2. Clinical Translation:
    While several molecules from his lab are commercialized, more direct clinical trials or FDA approvals tied to his molecules would elevate his impact from bench to bedside.

  3. Collaborative Diversity:
    Encouraging more global South collaborations or mentorships could help broaden his lab’s international footprint and contribute to equitable science capacity building.

🎓 Education:

Raphaël Rodriguez’s academic journey is marked by elite training and impactful credentials across Europe. He earned his PhD in Chemistry (2002–2005) through a joint program between Marseille and Oxford. He then pursued postdoctoral research as a Senior Research Associate at Cambridge’s Department of Chemistry and Gurdon Institute (2005–2012), where he developed skills at the interface of chemistry and biology. In 2012, he obtained the prestigious Habilitation à Diriger des Recherches from the University of Paris-Saclay, enabling him to supervise PhD candidates and lead independent research. His rise through the academic ranks was rapid: he became a CNRS Group Leader in 2012, then Principal Investigator at Institut Curie in 2015. In 2017, he was promoted to Research Director (DR1) at CNRS. In 2020, he was awarded the Skłodowska-Curie Chair of Chemical Biology at Institut Curie. His interdisciplinary training under world-renowned mentors has uniquely positioned him at the forefront of chemical biology research.

💼 Experience:

Raphaël Rodriguez’s professional experience is a blend of high-level research, leadership, and innovation. He began his postdoctoral career at the University of Cambridge (2005–2012), working in the Department of Chemistry and the Gurdon Institute. In 2012, he became a CNRS Group Leader at ICSN, Gif-sur-Yvette, launching his independent research career. In 2015, he transitioned to Institut Curie as a Principal Investigator, where he deepened his focus on cancer and inflammation. His promotion to Research Director (DR1) at CNRS in 2017 reflects his impact and leadership. Awarded the Skłodowska-Curie Chair of Chemical Biology in 2020, Rodriguez oversees a productive lab that investigates ferroptosis, DNA structure, and metal ion regulation in disease. He is also an entrepreneur, co-founding Adrestia Therapeutics and OrbiThera. He teaches at PSL University, organizes international conferences, and contributes to editorial boards and scientific advisory boards worldwide, maintaining a strong presence in both academia and biotech.

🏆 Awards and Honors:

Raphaël Rodriguez has received an impressive array of honors, showcasing his impact on science and innovation. In 2024 alone, he won the CNRS Silver Medal and the Ligue Contre le Cancer Duquesne Prize. His earlier recognition includes the prestigious Liliane Bettencourt Prize for Life Sciences (2023), the Knight of the National Order of Merit (2022, presented by Nobel Laureate Jean-Marie Lehn), and the Klaus Grohe Prize (2022). He has also been awarded the Antoine Lacassagne Prize (Collège de France, 2019), the Sunrise Cancer Stem Cell Award (2019), the Charles Defforey–Institut de France Prize (2019), and the Tetrahedron Young Investigator Award (2019). Rodriguez is a Fellow of the Royal Society of Chemistry (2018) and won the Pierre Fabre Award for Therapeutic Innovation (2015). These accolades affirm his contributions across cancer research, chemical biology, and molecular therapeutics, as well as his success in translating science into societal benefit through entrepreneurship.

🔍 Research Focus:

Raphaël Rodriguez’s research lies at the cutting edge of chemical biology, with a focus on understanding how cells adapt to stress, particularly in the contexts of cancer and inflammation. His laboratory explores the role of metal ions—especially iron—as regulators of cellular plasticity and fate. Notably, his team discovered mechanisms underlying ferroptosis, a form of regulated cell death linked to iron metabolism, and how this can be exploited for anti-cancer therapies. He also investigates non-canonical DNA structures like G-quadruplexes, using small molecules to study and manipulate gene regulation. His lab has developed and commercialized several potent bioactive compounds, including Pyridostatin, Remodelin, Ironomycin, and Supformin, which are used both as research tools and potential therapeutics. Rodriguez combines molecular design, cell biology, and translational strategies, making his work a blueprint for chemical biology-driven precision medicine. He continues to raise significant research funding and actively collaborates across academia and biotech.

📚 Publications Top Notes:

  1. 🧬 Small-molecule–induced DNA damage identifies alternative DNA structures in human genes – Nature Chemical Biology

  2. ⚙️ Salinomycin kills cancer stem cells by sequestering iron in lysosomes – Nature Chemistry

  3. 🛡️ A novel small molecule that alters shelterin integrity and triggers a DNA-damage response at telomeres – JACS

  4. 🧫 Chemical inhibition of NAT10 corrects defects of laminopathic cells – Science

  5. 🧠 The transcription factor FOXM1 is a cellular target of the natural product thiostrepton – Nature Chemistry

  6. 🧪 Trisubstituted isoalloxazines as a new class of G-quadruplex binding ligands – JACS

  7. 🔥 PML-regulated mitochondrial metabolism enhances chemosensitivity in human ovarian cancers – Cell Metabolism

  8. 🔬 A single-molecule platform for investigation of G-quadruplex interactions with small-molecule ligands – Nature Chemistry

  9. 🧲 Small-molecule-mediated G-quadruplex isolation from human cells – Nature Chemistry

  10. 🧬 CD44 regulates epigenetic plasticity by mediating iron endocytosis – Nature Chemistry

  11. 🧷 Selective RNA vs DNA G-Quadruplex Targeting by In Situ Click Chemistry – Angewandte Chemie

  12. 🧬 G-Quadruplex-Binding Benzo[a]phenoxazines Down-Regulate c-KIT Expression in Gastric Carcinoma Cells – Journal of Medicinal Chemistry

🧾 Conclusion:

Dr. Raphaël Rodriguez exhibits exceptional merit and impact across the entire research ecosystem—fundamental science, innovation, mentorship, and commercialization. His trailblazing work in chemical biology, coupled with a record of scientific leadership and entrepreneurship, makes him highly deserving of the Best Researcher Award. His career reflects a rare blend of depth, vision, and cross-disciplinary innovation. Minor enhancements in global public engagement and clinical integration could further elevate his already stellar profile.

Irene Dini | Food Chemistry | Women Researcher Award

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Prof Irene Dini | Food Chemistry |  Women Researcher Award

Pharmacy Department at  Federico II University of Naples, Italy

Prof. Dini Irene is an esteemed Associate Professor specializing in Food Chemistry at Federico II University of Naples. She holds a Ph.D. in Natural Compounds Pharmacologically Active and is a specialist in Food Science. Prof. Dini has made significant contributions to the field through her extensive research on natural substances, which has resulted in the publication of over 70 papers in indexed journals. She has also authored 8 chapters in international scientific books and 2 chapters for university-level textbooks. Her professional affiliations include serving on the editorial boards of journals such as “E-Journal of Chemistry,” “Antioxidants,” “Molecules,” and “Antibiotics,” all under MDPI. Additionally, she has been a member of the board of directors for CIRANAD, an Interuniversity Centre of Excellence focused on food, nutrition, and the digestive system. Prof. Dini’s dedication to advancing food chemistry and her active involvement in scientific communities underscore her commitment to excellence in research and education.

Profile:

Academic and Professional Background:

Prof. Dini Irene is an esteemed academic with a distinguished career in food chemistry and natural compounds. She holds a Ph.D. in ‘Natural Compounds Pharmacologically Active’ and specializes in ‘Food Science.’ As an Associate Professor in Food Chemistry (CHIM 10) at Federico II University of Naples, Prof. Dini imparts her extensive knowledge to students and advances research in her field.

Leadership and Contributions:

In addition to her academic duties, Prof. Dini has played a significant role in CIRANAD (Interuniversity Centres of Excellence on Food, Nutrition, and Digestive System) as a board member. Her leadership in this interdisciplinary field underscores her commitment to advancing food science and nutrition.

Research Focus: Food Chemistry

Prof. Dini Irene’s research in food chemistry centers on the study and analysis of natural substances with pharmacological activities. Her work aims to explore the chemical composition, properties, and potential health benefits of natural compounds found in various foods. This includes identifying bioactive compounds that can contribute to human health and understanding their mechanisms of action.

Citation Metrics:

  • Total Citations: 2,836
  • Citations Since 2019: 1,762
  • h-index: 30
  • h-index Since 2019: 26
  • i10-index: 52
  • i10-index Since 2019: 47

Publication Top Notes:

  • Antioxidant compound contents and antioxidant activity before and after cooking in sweet and bitter Chenopodium quinoa seeds
    • Published in LWT-Food Science and Technology, 2010
    • Citations: 243
  • Chemical composition, nutritional value and antioxidant properties of Allium caepa L. Var. tropeana (red onion) seeds
    • Published in Food Chemistry, 2008
    • Citations: 148
  • Nutritional and antinutritional composition of Kancolla seeds: an interesting and underexploited Andean food plant
    • Published in Food Chemistry, 2005
    • Citations: 137
  • Studies on the Constituents of Chenopodium quinoa Seeds: Isolation and Characterization of New Triterpene Saponins
    • Published in Journal of Agricultural and Food Chemistry, 2001
    • Citations: 131
  • Saponins in Ipomoea batatas tubers: Isolation, characterization, quantification and antioxidant properties
    • Published in Food Chemistry, 2009
    • Citations: 128
  • The new challenge of green cosmetics: Natural food ingredients for cosmetic formulations
    • Published in Molecules, 2021
    • Citations: 127
  • Phenolic constituents of Kancolla seeds
    • Published in Food Chemistry, 2004
    • Citations: 127
  • Glucosinolates from Maca
    • Published in Biochemical Systematics and Ecology, 2002
    • Citations: 126
  • Effect of industrial and domestic processing on antioxidant properties of pumpkin pulp
    • Published in LWT-Food Science and Technology, 2013
    • Citations: 123
  • Nutricosmetics: A brief overview
    • Published in Phytotherapy Research, 2019
    • Citations: 119