Md Ibrahim Shikder Mahin | Computational Modeling | Best Researcher Award-1831

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

Bangladesh University of Business and Technology (BUBT), Bangladesh

👨‍🎓Profile

🎓 Early Academic Pursuits

Md. Ibrahim Shikder Mahin began his academic journey with a strong foundation in science at Gandaria High School. His passion for technology and engineering led him to Government Shaheed Suhrawardy College, where he pursued the Higher Secondary School Certificate (HSC) in Science. Recognizing the significance of electrical and electronics engineering in shaping the future of robotics, AI, and blockchain technology, he enrolled at the Bangladesh University of Business & Technology (BUBT) for a Bachelor of Science (B.Sc.) in Electrical and Electronics Engineering (EEE), equipping himself with the necessary knowledge to contribute to advanced research and industry developments.

💼 Professional Endeavors

Md. Ibrahim Shikder Mahin has built a diverse professional career spanning multiple industries, including robotics, AI, blockchain, and electrical engineering. He is currently serving as a Research Assistant at Bangladesh University of Business & Technology (BUBT) since January 2025, where he is involved in cutting-edge research in AI, blockchain, and robotics. Prior to this role, he gained hands-on experience as a Supply Chain Management Intern at Vivo, where he worked on logistics optimization, inventory management, and supply chain automation.

🔬 Contributions and Research Focus

Md. Ibrahim Shikder Mahin is dedicated to advancing AI-driven systems, blockchain security, and IoT-enabled automation. His research focuses on integrating deep learning, image processing, and decentralized finance (DeFi) technologies into real-world applications. One of his key contributions is the Crypto Payment & NFT Minting System in Hitmakr, where he developed a blockchain-based payment solution integrating ERC-20 token transfers and ERC-1155 NFT subscriptions.

Another innovative project he led is the AI-Based Fire Resistance System, which utilizes OpenCV, YoloV11, Google Speech Recognizer, and Raspberry Pi to detect and suppress fires efficiently. His work on Weather Forecasting for Farming demonstrates the use of deep-learning time series models to assist farmers in predicting the best crops for specific climatic conditions. Additionally, his project on Forecasting Total Cloud Coverage in the Sky implements hybrid AI models to enhance solar farm efficiency by predicting cloud coverage. His research and development efforts continue to push the boundaries of technology and automation.

🌍 Impact and Influence

Through his extensive work in academic research, industrial projects, and blockchain innovations, Md. Ibrahim Shikder Mahin has significantly contributed to the advancement of AI, IoT, and decentralized applications. His projects aim to bridge the gap between cutting-edge technology and practical implementation, particularly in areas such as agriculture, energy, and finance. His innovations in automation, AI-driven robotics, and deep learning applications are shaping the future of smart technology and digital transformation.

📑 Academic Cites

As a researcher with a focus on AI, blockchain, and robotics, his contributions have the potential to be widely cited in academic research related to AI-driven automation, electrical engineering advancements, and blockchain applications. His work in integrating AI into power systems, security protocols, and sustainable energy solutions paves the way for future academic studies and industrial applications.

🛠️ Technical Skills

Md. Ibrahim Shikder Mahin possesses a broad range of technical skills that allow him to excel in AI development, blockchain programming, and IoT system integration. His programming expertise includes Python, C, and Solidity, which he applies in deep learning, smart contract development, and embedded system programming. He has extensive experience with AI frameworks such as TensorFlow, OpenCV, and YOLO, enabling him to develop computer vision applications and predictive analytics models.

His blockchain development experience includes smart contract deployment, Ethereum-based applications, and NFT development. In the IoT and robotics domain, he has worked with Raspberry Pi, Arduino, and embedded systems, focusing on automation and industrial robotics. Additionally, his background in electrical engineering includes power distribution, circuit design, and renewable energy integration, making him a well-rounded technology professional.

👨‍🏫 Teaching Experience

As a Research Assistant at BUBT, Md. Ibrahim Shikder Mahin has been actively involved in mentoring students and guiding research projects in blockchain applications, AI modeling, and robotics innovations. His passion for teaching and knowledge sharing has enabled him to train students in emerging technologies, helping them develop hands-on experience with real-world applications. His ability to simplify complex technical concepts makes him a valuable mentor for aspiring engineers and researchers.

🚀 Legacy and Future Contributions

Md. Ibrahim Shikder Mahin is committed to pioneering technological advancements in AI-driven robotics, blockchain security, and sustainable energy solutions. His long-term vision is to develop intelligent automation systems that contribute to smart city initiatives, energy-efficient solutions, and decentralized financial systems. He aspires to revolutionize the field of AI and blockchain by integrating automation, security, and scalability into real-world applications.

📖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

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

Arnab Banerjee | Quantum Computation of Materials | Best Researcher Award

Assist. Prof. Dr. Arnab Banerjee | Quantum Computation of Materials | Best Researcher Award

Purdue University, United States

👨‍🎓Profiles

🏫 Early Academic Pursuits

He began his academic journey with a passion for material science and technology. His foundational studies emphasized materials synthesis and analytical properties, laying the groundwork for his later groundbreaking contributions to solid-state quantum computing. His academic curiosity drove him to explore quantum magnetism, fostering an interdisciplinary approach that bridges chemistry, physics, and computational sciences.

💼 Professional Endeavors

Currently an Assistant Professor at Purdue University, Dr. Banerjee is an esteemed researcher and faculty member specializing in quantum materials and computing. He actively manages five funded projects supported by the DOE, Keck Foundation, and NSF-IUCRC/Industry, involving advanced quantum chemistry, crystallography, and quantum Hamiltonian modeling using cutting-edge quantum computers. His collaborations with Los Alamos and Oak Ridge National Laboratories and industry leaders like IBM-Q and D-Wave highlight his integration into global research ecosystems.

🌟 Contributions and Research Focus

His research has revolutionized our understanding of quantum materials. Notably, his discovery of the Kitaev candidate material RuCl₃ and the first evidence of magnetic Majorana fermions earned recognition as one of 2016's top science achievements by Discover Magazine. His innovative work links magnetic material modeling, neutron scattering experiments, and quantum computation, published in leading journals such as Physical Review B (Editor's Suggestion), npj Quantum Information, and Nature Communications.

🌍 Impact and Influence

Dr. Banerjee's contributions to quantum computing and magnetism have a global impact. By collaborating with institutions like Caltech and DOE National Labs, he fosters cross-disciplinary innovation. His efforts to integrate quantum computing into material sciences pave the way for achieving higher quantum coherence, driving advancements in both theoretical and applied sciences.

📈 Academic Citations and Recognitions

With 41 peer-reviewed journal articles and a citation index of 28, He is a highly regarded figure in his field. As a guest editor for MDPI's special issue, he contributes to the scientific community by curating cutting-edge research. His expertise and influence are recognized through memberships in the American Physical Society and the Materials Research Society.

🛠 Technical Skills

His technical repertoire includes quantum chemistry, spin density of state measurements, phonon analysis, and advanced neutron scattering techniques. He excels in quantum Hamiltonian modeling using quantum computers, bridging experimental observations with theoretical predictions to accelerate material discoveries.

👩‍🏫 Teaching and Mentorship

As an educator, Dr. Banerjee is dedicated to cross-training students and staff in quantum materials and computing. He collaborates with national laboratories and industries to create immersive learning experiences that prepare the next generation of researchers to tackle forefront scientific challenges.

🌱 Legacy and Future Contributions

He envisions a future where quantum computing and material sciences converge seamlessly. His ongoing research aims to uncover novel materials and phenomena that enhance quantum coherence, bringing quantum computing closer to practical applications. His commitment to mentoring and collaboration ensures a lasting legacy in advancing science and nurturing innovation.

📖Notable Publications

  1. Gibbs state sampling via cluster expansions
  2. Authors: Eassa, N.M.; Moustafa, M.M.; Banerjee, A.; Cohn, J.
    Journal: npj Quantum Information, 2024.
  3. High-fidelity dimer excitations using quantum hardware
  4. Authors: Eassa, N.M.; Gibbs, J.; Holmes, Z.; Cohn, J.; Banerjee, A.
    Journal: Physical Review B, 2024.
  5. Magnetic interactions and excitations in SrMnSb₂
  6. Authors: Ning, Z.; Li, B.; Tang, W.; McQueeney, R.J.; Ke, L.
    Journal: Physical Review B, 2024.
  7. Experimental evidence for nonspherical magnetic form factor in Ru³⁺
  8. Authors: Sarkis, C.L.; Villanova, J.W.; Eichstaedt, C.; Berlijn, T.; Nagler, S.E.
    Journal: Physical Review B, 2024.
  9. Purely antiferromagnetic frustrated Heisenberg model in the spin-ladder compound
  10. Authors: Roll, A.; Petit, S.; Forget, A.; Foury-Leleykian, P.; Balédent, V.
    Journal: Physical Review B, 2023.
  11. Dynamic Asset Allocation with Expected Shortfall via Quantum Annealing
  12. Authors: Xu, H.; Dasgupta, S.; Pothen, A.; Banerjee, A.
    Journal: Entropy, 2023.
  13. Simulations of frustrated Ising Hamiltonians using quantum approximate optimization
  14. Authors: Lotshaw, P.C.; Xu, H.; Khalid, B.; Humble, T.S.; Banerjee, A.
    Journal: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023.
  15. Planar thermal Hall effect of topological bosons in the Kitaev magnet α-RuCl₃
  16. Authors: Czajka, P.; Gao, T.; Hirschberger, M.; Nagler, S.E.; Ong, N.P.
    Journal: Nature Materials, 2023.
  17. Distinct Acoustic and Optical Phonon Dependences on Particle Size, Oxidation, and Temperature in Silicon Nanocrystals
  18. Authors: Chen, S.; Coleman, D.; Abernathy, D.L.; Mangolini, L.; Li, C.
    Journal: Journal of Physical Chemistry C, 2022.
  19. Extraction of interaction parameters for α-RuCl₃ from neutron data using machine learning
  20. Authors: Samarakoon, A.M.; Laurell, P.; Balz, C.; Okamoto, S.; Tennant, D.A.
    Journal: Physical Review Research, 2022.