Md Ibrahim Shikder Mahin | Computational Modeling | Best Researcher Award

Mr. Md Ibrahim Shikder Mahin | Computational Modeling | Best Researcher Award

Bangladesh University of Business and Technology (BUBT), Bangladesh

👨‍🎓Profiles

🎓 Academic Background

Md Ibrahim Shikder Mahin is a Bachelor of Science (B.S.) graduate in Electrical and Electronics Engineering from Bangladesh University of Business and Technology (BUBT), where he maintained a CGPA of 3.41/4.0 (2019-2024). His earlier academic journey includes:  Higher Secondary School Certificate (HSC) – Science from Government Shaheed Suhrawardy College (2017-2019), with a GPA of 3.75/5.0. Secondary School Certificate (SSC) – Science from Gandaria High School (2005-2017).

🚀 Passion for Technology & Innovation

As a passionate technophile, Mr. Mahin specializes in:
✔️ Computational Modeling & Image Processing 🖥️ – Applying advanced algorithms for visual data analysis.
✔️ Machine Learning & Deep Learning 🧠 – Developing intelligent systems for automation and decision-making.
✔️ Robotics & AI 🤖 – Exploring automation, smart systems, and industrial robotics.
✔️ Blockchain Technology 🔗 – Investigating decentralized applications and cryptographic security.

His strong foundation in Python programming allows him to implement innovative AI and image processing solutions, contributing to cutting-edge research and real-world applications.

📊 Technical Expertise

Mr. Mahin has hands-on experience in various AI and computational technologies, including:
✔️ Programming Languages: Python, MATLAB
✔️ Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn
✔️ Image Processing: OpenCV, Computer Vision Techniques
✔️ Robotics & AI: Embedded Systems, IoT Integration
✔️ Blockchain & Cryptography: Smart Contracts, Decentralized Systems

🎯 Research & Career Aspirations

Mr. Mahin is committed to driving innovation and fostering collaboration in the tech community. His future goals include:
🔹 Developing intelligent automation systems using AI & robotics.
🔹 Advancing deep learning applications for medical and industrial imaging.
🔹 Exploring the intersection of blockchain and AI for secure, decentralized solutions.
🔹 Contributing to open-source projects and global research communities.

🏆 Conclusion

Md Ibrahim Shikder Mahin is a highly motivated researcher and engineer in the fields of AI, deep learning, and computational modeling. His passion for technology, robotics, and blockchain continues to shape his journey toward innovation and impactful contributions in the digital era.

📖Notable Publication

Real-Time Rapid Accident Detection for Optimizing Road Safety in Bangladesh

Authors: Md Shamsul Arefin, Md Ibrahim Shikder Mahin, Farzana Akter Mily

Journal: Heliyon

Year: 2025

Natalya Kurochkina | Protein Structure | Best Researcher Award – 1648

Dr. Natalya Kurochkina | Protein Structure | Best Researcher Award

The School of Theoretical Modeling, United States

👨‍🎓Profiles

Early Academic Pursuits 🎓

Natalya Kurochkina’s academic journey began when she earned her Ph.D. in Biophysics at the Institute of Protein Research, Russian Academy of Sciences. Her postdoctoral work followed in 1991 at the National Cancer Institute of the National Institutes of Health in Bethesda, USA, focusing on Biochemistry. These formative years laid the foundation for her expertise in protein structure and biophysical analysis.

Professional Endeavors 💼

After her postdoctoral studies, Kurochkina worked as a Research Scientist at Applied Thermodynamics in Hunt Valley, MD, between 1996 and 1998. In 1998, she established the School of Theoretical Modeling in Washington, DC, where she has since served as a Professor of Biophysics. She teaches courses in Biomedical Research and Protein Modeling, contributing significantly to the academic development of students in these fields. Her research has focused on the structure and dynamics of proteins, particularly in the context of medical applications.

Contributions and Research Focus 🔬

Kurochkina’s research contributions are substantial and have made a significant impact on the field of biophysics and biochemistry. She developed methods for predicting protein conformation, including novel approaches to designing immunotoxins. Her work on the molecular modeling of various medically relevant proteins, such as fibrin, UDP-GlcNAc 2-epimerase/ManNAc kinase, and TRP1/TRPV1/CDK5, has advanced the understanding of these molecules. Kurochkina also pioneered studies into the structural determinants of protein assembly and the impact of helix interfaces on ligand binding.

Impact and Influence 🌍

Kurochkina’s work has not only contributed to the scientific community but also has tangible medical implications. Her design of immunotoxins and modeling of critical proteins has advanced therapeutic approaches for various diseases. Additionally, her research in protein structure analysis is essential for understanding disease-related mutations, such as those linked to hereditary conditions like HSAN2A and sialuria. Her innovations have drawn attention globally, and her publications are regularly cited within the scientific literature.

Academic Cites 📚

Kurochkina has published 30 journals in high-impact databases like SCI and Scopus, with a citation index of 14. Her research is widely recognized within the biophysics and protein modeling communities. As a key contributor to multiple fields, her work on the structural and functional aspects of proteins continues to be referenced by experts and researchers worldwide.

Technical Skills 🛠️

Kurochkina possesses advanced technical skills in protein modeling, biophysical analysis, and computational chemistry. Her expertise includes structural modeling of proteins, secondary structure analysis, and the prediction of amino acid interactions. She has also worked extensively with molecular modeling software to simulate and predict the behavior of protein assemblies, particularly in the context of disease-associated mutations.

Teaching Experience 👩‍🏫

As a Professor of Biophysics, Kurochkina has mentored and shaped the careers of many students. Her teaching experience spans biomedical research, protein modeling, and the theoretical foundations of molecular biology. She is known for her ability to inspire students and foster a deep understanding of biophysics. Her guidance in both academic and research settings has been instrumental in the development of the next generation of scientists.

Legacy and Future Contributions 🔮

Kurochkina’s legacy is marked by her groundbreaking contributions to protein structure prediction and her innovations in immunotoxin design. Her future research aims to further explore the complexities of protein dynamics and their role in disease. She continues to focus on developing computational tools that enhance the understanding of protein behavior in various biological systems. Her work promises to continue influencing the fields of biophysics, biochemistry, and biomedical research for years to come.

📖Notable Publications

Expression pattern analysis and characterization of the hereditary sensory and autonomic neuropathy 2 A (HSAN2A) gene with no lysine kinase (WNK1) in human dorsal root ganglion

Authors: Sapio, M.R., King, D.M., Staedtler, E.S., Mannes, A.J., Iadarola, M.J.
Journal: Experimental Neurology
Year: 2023

Phosphorylation of the Transient Receptor Potential Ankyrin 1 by Cyclin-dependent Kinase 5 affects Chemo-nociception

Authors: Hall, B.E., Prochazkova, M., Sapio, M.R., Iadarola, M.J., Kulkarni, A.B.
Journal: Scientific Reports
Year: 2018

Phosphorylation, Dephosphorylation, and Multiprotein Assemblies Regulate Dynamic Behavior of Neuronal Cytoskeleton: A Mini-Review

Authors: Kurochkina, N., Bhaskar, M., Yadav, S.P., Pant, H.C.
Journal: Frontiers in Molecular Neuroscience
Year: 2018

Helical assemblies: Structure determinants

Authors: Kurochkina, N.A., Iadarola, M.J.
Journal: Journal of Theoretical Biology
Year: 2015