Mr. Al-Amin Al-Amin | Strategic Planning | Best Researcher Award

Posted on 10/05/202510/05/2025 by ScienceFather

Mr. Al-Amin Al-Amin | Strategic Planning | Best Researcher Award

Mr. Al-Amin Al-Amin, Murdoch University, Australia

Al-Amin is a dynamic and driven PhD candidate at the Discipline of Energy and Engineering, Murdoch University, Australia. With over eight years of robust experience in research and academia, he specializes in electrical power systems, particularly focusing on the integration of electric vehicles and renewable energy technologies. Known for his commitment to education and innovation, Al-Amin has served in multiple teaching and research roles both in Australia and Bangladesh, establishing himself as a knowledgeable and effective educator and researcher in sustainable energy systems.

Profile

Scopus

Orcid

🎓 Education

Al-Amin is currently pursuing his PhD at Murdoch University, where his research focuses on reactive and active power management with large-scale electric vehicle integration to improve power system stability. He holds a Master of Science in Renewable Energy Technology (CGPA: 3.91/4.00) from the University of Dhaka and a Bachelor of Science in Electrical and Electronic Engineering (CGPA: 3.89/4.00) from United International University, Bangladesh. His academic journey is further enriched by training in biomass technology and solid academic performance in secondary and higher secondary education.

🏫 Experience

Al-Amin has built an impressive academic portfolio with teaching roles in five institutions across two countries. Currently, he is a lecturer at South Metropolitan TAFE and a casual academic at Murdoch University. Previously, he served as a lecturer at City University and Metropolitan University in Bangladesh and as a course instructor at United International University. His teaching spans a wide range of topics, including power systems, renewable energy, and electronics, often combining theoretical instruction with hands-on lab supervision and student mentoring.

🔬 Research Interests

Al-Amin’s research interests lie at the intersection of electric power systems, electric vehicle integration, renewable energy modeling, and smart grid applications. He has a strong passion for addressing energy challenges through advanced simulation tools like MATLAB/SIMULINK, DigSilent, HOMER, RETScreen, and SAM. His focus on grid stability and green energy aligns closely with global sustainability goals, making his work both timely and impactful.

🏆 Awards

🎓 Al-Amin has been honored with the International Tuition Fee Scholarship from Murdoch University. He also won the Future Leaders Program (FLP), Season 03 (2015), organized by Channel-i Bangladesh and Future Leaders Ltd, UK. His undergraduate performance earned him the prestigious magna cum laude distinction and a 100% tuition fee scholarship, reflecting his consistent academic excellence.

📚 Publication Top Notes

Grid Integration of EV: A Review on Stakeholder’s Objectives, Challenges, and Strategic Implications, e-Prime – Advances in Electrical Engineering, Electronics and Energy,

Agrivoltaics System for Sustainable Agriculture and Green Energy in Bangladesh, Applied Energy,

Design of a Solar PV based Hybrid AC Mini Grid System with Load Dispatch Centre for an Off-grid Area of Bangladesh, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering,

An Efficient and Feasible Solar Irrigation System Including AC Mini-Grid Designed for Bangladeshi Agriculture, International Journal of Scientific and Engineering Research.

A Study on the Present Scenario of Solar Irrigation in Bangladesh, International Journal of Scientific and Engineering Research,

xiaochen xiao | Industry Analysis | Best Researcher Award

Posted on 07/05/202507/05/2025 by ScienceFather

Mr. xiaochen xiao | Industry Analysis | Best Researcher Award

Mr. xiaochen xiao, University of Technology Sydney, Australia

Xiaochen Xiao is a driven graduate student in Data Science and Innovation at the University of Technology Sydney. 📊 Passionate about artificial intelligence and its real-world applications, Xiaochen has contributed to high-impact international projects and published extensively in indexed journals and conferences. With a keen interest in deep learning, natural language processing, and multi-modal systems, they bring a strong blend of research acumen and hands-on experience. Xiaochen is recognized for their innovation in drone object recognition, medical VQA, and financial AI—garnering patents, software copyrights, and global awards.

Profile

Scopus

🎓 Education

Xiaochen earned a Bachelor’s degree in a technology-focused discipline before enrolling in the Master’s program in Data Science and Innovation at UTS. The curriculum has equipped them with a multidisciplinary toolkit, including machine learning, data engineering, and strategic analytics, fostering a sophisticated understanding of cutting-edge technologies. 📚

💼 Experience

Xiaochen has led and contributed to projects including anti-drug surveillance drones for the Public Security Department and quantitative financial trading systems. Serving as Chair of the Data Science Association and former head of the Math Modeling Lab, Xiaochen has also demonstrated leadership and mentoring capability within academic circles and research teams. 🧠💼

🔬 Research Interests

With a keen interest in Deep Learning 🤖, Natural Language Processing (NLP) 💬, Reinforcement Learning, and Multi-modal AI Systems 🧩, Xiaochen’s research explores how intelligent algorithms can process and interpret complex data across domains—from aerial drone imagery to healthcare diagnostics.

🏆 Awards and Recognition

Xiaochen’s pioneering contributions have garnered international awards in Strategic Management and Business Strategy. Their innovation project “Poppy Recognition System for Drones” received national distinction, and multiple research outputs have been indexed in EI, IEEE, and CPCI, reflecting a growing academic impact. 🏅🌍

🔗 Professional Memberships

Actively engaged in the academic community, Xiaochen serves as Chair of the Data Science Association and was previously the Head of the Math Modeling Lab, leading cross-functional teams in computational problem-solving.

📚 Publication Top Notes

“Multi-modal Tourism Recommendation System.” Published in SCI Q2 Journal (Accepted). Read article. Cited by 7 articles. 🌐

. “Medical Image VQA System.” Submitted to IEEE TPAMI (CCF-A, Under Review). Read submission.

“Drone-Based Poppy Recognition Using Deep Neural Networks.” IEEE Conference (First Author). Read conference paper. Cited by 3 articles. 📡

“AI-Driven Quantitative Trading Models.” EI Indexed Conference Paper. Access article.

“NLP Optimization with Reinforcement Learning.” IEEE Proceedings. View here. Cited by 5 articles. 📈

Sujit Sangram Sahoo | Business strategy | Best Researcher Award

Posted on 31/05/202431/05/2024 by ScienceFather

Indian Institute of Information Technology, Allahabad | India

Author Profile

Early Academic Pursuits

He, Ph.D. Scholar specializing in Blockchain Security at the Dept. of Information Technology, CORDIoT LAB, CC2, IIIT-Allahabad, UP-211015, has built a solid foundation in information technology and security. His academic journey began at Biju Patnaik University of Technology, Odisha, where he completed his B. Tech. in Information Technology, achieving a CGPA of 7.05. He continued his education at the National Institute of Technology Rourkela, obtaining an M. Tech. in Computer Science with a specialization in Information Security. His thesis, “Certificateless Nominative Signature based upon DLP,” underscored his early interest in cryptographic systems and digital security.

Professional Endeavors

His professional journey is marked by his dedication to teaching and research. He accumulated 2.5 years of teaching experience, including 1.5 years as an Adjunct Faculty at Motilal Nehru National Institute of Technology, Allahabad. His roles involved imparting knowledge in computer science and engineering, particularly in areas such as Operating Systems, Cryptography, Data Structures, Algorithms, and Network Security. This experience enriched his understanding of theoretical concepts and practical applications in IT security.

Contributions and Research Focus on Business strategy

His research focuses on Blockchain Technology and Cryptography. His Ph.D. thesis at IIIT-Allahabad, “Secure Virtual Instant Payment System in Blockchain,” addresses the scalability issues in blockchain technology by proposing off-chain protocols to improve transaction throughput. His work delves into Layer-2 Blockchain solutions, virtual payment models, and secure cryptographic methods. He has explored various aspects such as scalability, channel rebalancing in Bitcoin and Ethereum networks, and digital signature schemes for decentralized networks. His innovative approach to resolving disputes in virtual state channels and channel splitting for node idleness has been noteworthy.

Accolades and Recognition

His academic and professional achievements have earned him several recognitions. He has received MHRD fellowships for both his Ph.D. and M. Tech. studies. His scholarly contributions have been acknowledged through various awards, including the Best Boarder Award at NIT Rourkela and a state merit scholarship. Additionally, he has been actively involved in organizing and presenting at international conferences, such as IEEE INDICON and IEEE INDISCON, where his papers on secure blockchain models and payment networks have been well-received.

Impact and Influence

His work has significantly impacted the field of blockchain and cryptographic research. His research publications in esteemed journals such as the IEEE Transactions and SCI/SCIE journals have advanced the understanding of secure payment channels and blockchain-based virtual payment models. His involvement in developing certificateless cryptographic schemes has provided practical solutions for secure communications in decentralized networks, particularly for small power devices. His contributions to the academic community extend beyond research, as he has also been an active IEEE Young Professional Member and an organizer of workshops and courses on IoT, Machine Learning, and Blockchain.

Legacy and Future Contributions

His legacy in the field of blockchain and cryptography is characterized by his commitment to addressing real-world problems through innovative research. His ongoing work on secure virtual payment systems and certificateless cryptography continues to push the boundaries of what is possible in the realm of digital security. As he progresses in his academic and professional career, he is poised to make further significant contributions that will influence the development of secure and efficient blockchain technologies. His dedication to teaching and mentoring the next generation of IT professionals ensures that his impact will be felt for years to come.

Citations

Citations 29

h-index 4

i10-index 0