Mr Shubhajyoti Das | Artificial Intelligence | Best Researcher Award

Research Scholar, Indian Institute of Engineering Science and Technology, Shibpur,India

Shubhayjoti Das is an aspiring researcher and developer with a keen interest in the fields of Machine Learning, Deep Learning, and Blockchain Technology. He is currently pursuing his Ph.D. in Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur. With a strong academic foundation and a passion for solving complex problems, he has built a diverse skill set, including proficiency in Python, Java, C++, and Solidity. Shubhayjoti has contributed to several impactful research projects related to agriculture, healthcare, and supply chain management. His work focuses on applying advanced technologies to solve real-world challenges, such as agricultural disease monitoring, heart attack analysis, and breast cancer detection. As a recipient of the Young Researcher Award 2024, Shubhayjoti continues to push the boundaries of innovation in his field while seeking opportunities to collaborate with industry and academic leaders worldwide.

Profile

• Google Scholar
• Scopus

Strengths for the Award

1. Interdisciplinary Expertise:
   • Shubhayjoti’s research spans across Machine Learning, Deep Learning, Blockchain, and SAP. His experience with AI in agriculture (agricultural disease monitoring) and healthcare applications (heart attack and breast cancer analysis) showcases his ability to apply cutting-edge technologies to solve real-world problems.
   • His knowledge in blockchain technology (e.g., in supply chain management and meat traceability) aligns with global research trends, marking his contributions as highly relevant and forward-thinking.
2. Diverse and Impactful Projects:
   • Shubhayjoti has been involved in a variety of projects that tackle important societal issues. For example, his agricultural disease monitoring and biometric identification research contribute significantly to sectors like agriculture and animal husbandry, both of which are crucial for food security and sustainability.
   • His work on meat traceability using blockchain is not only innovative but also directly applicable to real-world supply chain management, making it highly relevant in the context of food safety and transparency.
3. Strong Academic Foundation:
   • Shubhayjoti is currently pursuing a Ph.D. in Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, indicating his commitment to advancing in research and knowledge. His ongoing Ph.D. work complements his existing academic achievements and reinforces his potential for groundbreaking research.
   • He has received Institute Scholarships for Ph.D. and has cleared GATE 2018 and UGC-NET 2020, which showcase his academic rigor and aptitude for high-level research.
4. Publications in High-Impact Journals:
   • Shubhayjoti’s published research in journals like IEEE Geoscience and Remote Sensing Letters and Applied Biological Research demonstrates his ability to produce high-quality academic work. His involvement in impactful papers related to deep learning, remote sensing, and biometrics reflects his growing influence in these fields.
   • Specific papers like “Deep Learning Analysis of Rice Blast Disease” and “Image-Based Potato Phoma Blight Severity Analysis” are highly relevant in the domain of agriculture, showing his contribution to enhancing precision agriculture through AI and machine learning.
5. Awards and Recognition:
   • The Young Researcher Award (2024) by InSc (Institute of Scholars) is a significant achievement, affirming Shubhayjoti’s potential in the research community.
   • Membership in prestigious organizations like IEEE (Geoscience and Remote Sensing Society, Young Professionals) and InSc further elevates his profile and provides him with networking and collaboration opportunities to further his research.
6. Strong Technical Skills:
   • Shubhayjoti is proficient in several programming languages such as Python, Core Java, C++, and Solidity, all of which are critical for modern research in fields like AI, blockchain, and software development.
   • His expertise in data structures, algorithms, and deep learning demonstrates a solid foundation for conducting research that involves complex problem-solving.

Areas for Improvement

1. Increasing Citation Impact:
   • While Shubhayjoti has multiple publications, he should focus on enhancing the citation impact of his research. Publishing in more high-impact journals and collaborating with well-established researchers can help increase the visibility and relevance of his work in the global research community.
2. Broader Industry Collaboration:
   • Although Shubhayjoti’s research is strong academically, expanding the reach of his work through industry partnerships could further enhance its practical applications. Industry collaborations, especially in sectors like healthcare, agriculture, and blockchain, could accelerate the development and implementation of his research.
3. Engagement in Collaborative Research:
   • To further strengthen his research, collaborating with international researchers or industry experts could open new perspectives and elevate the quality of his work. This will also improve his visibility within the global academic and research community.
4. Broader Publication Frequency:
   • While Shubhayjoti has a solid publication record, increasing the frequency and diversity of his publications (including papers in conference proceedings, book chapters, and special issues) could help establish him as a leading researcher in his field.

Education

Shubhayjoti Das is currently pursuing his Ph.D. in Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur (enrolled in 2021, registered in 2022). Prior to this, he completed his M.Tech in Information Technology from Kalyani Government Engineering College, under Maulana Abul Kalam Azad University of Technology, in 2020, with an impressive CGPA of 8.26. He holds a B.Tech in Computer Science from Gurukula Kangri University, Haridwar (2017), with a percentage of 61.37. His academic journey has been marked by consistent excellence in core subjects such as Data Structures, Algorithms, Operating Systems, and Machine Learning, laying a solid foundation for his research. He has also participated in several specialized training programs, including SAP ABAP and Core Java, further enhancing his technical expertise. Shubhayjoti’s educational background, combined with his practical research experience, enables him to make meaningful contributions to the field of computer science.

Experience 

Shubhayjoti Das has gained valuable experience as a Project Staff in the research project titled “Image-Based Technology for Early Warning of Two Major Foliar Diseases of Cucurbits in West Bengal,” funded by DST-SERB, Government of India. This six-month project, conducted at Kalyani Government Engineering College, enabled him to apply his machine learning and image processing skills to a real-world agricultural challenge. During his academic career, he also worked on various machine learning and blockchain related projects, such as breast cancer detection, agricultural disease monitoring, and meat traceability software. Additionally, Shubhayjoti participated in a summer internship at HP India, where he worked on developing an ATM Emulator and a Jumble Word Game, further strengthening his programming and problem-solving skills. His industry training and academic research experience have equipped him with a deep understanding of modern technologies and their applications in solving societal problems.

Awards and Honors 

Shubhayjoti Das has been recognized for his academic excellence and contributions to research. In 2024, he was awarded the Young Researcher Award by the Institute of Scholars (InSc), a prestigious recognition for his innovative work in machine learning and blockchain technologies. He cleared the highly competitive GATE 2018 exam, which is a testament to his strong technical foundation. Additionally, he qualified the UGC-NET 2020 examination, further solidifying his academic credentials. Shubhayjoti was also awarded an Institute Scholarship to pursue his Ph.D. at IIEST Shibpur in 2021, enabling him to continue his research journey in information technology. His achievements reflect his consistent performance and passion for advancing knowledge in the field. Shubhayjoti’s ability to merge theoretical learning with practical application has earned him recognition and provides him with the opportunity to contribute significantly to the global research community.

Research Focus 

Shubhayjoti Das’s research primarily revolves around the application of machine learning, deep learning, and blockchain technology to address real-world challenges. His work focuses on the intersection of AI and agriculture, where he has been involved in projects like agricultural disease monitoring using artificial intelligence and image processing techniques. He has also worked on healthcare-related research, including breast cancer analysis and heart attack prediction using machine learning algorithms. Another key area of Shubhayjoti’s research is blockchain technology, specifically its application in supply chain management. His project on meat traceability using blockchain highlights his ability to apply modern technologies for transparency and security in food systems. Additionally, Shubhayjoti is exploring deep learning techniques for remote sensing and biometric identification systems, working on innovative projects like iris pattern matching and pig identification. His interdisciplinary research is making impactful contributions to various sectors.

Publications

• Dynamic attention aggregated missing spatial-temporal data imputation for traffic speed prediction 🛣️📊
• IGDM: Image-Based Grading System of Downy Mildew in Cucumber Using Digital Image Processing and Unsupervised Learning 🥒📸
• Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting 🚗📈
• AEIN-An Intelligent Computational Technique for Biometric Based Individual Yorkshire Pig Identification Using Auricular Vein 🐖👁️
• Biometric identification of Black Bengal goat: unique iris pattern matching system vs deep learning approach 🐐🔍
• Image-Based Potato Phoma Blight Severity Analysis Through Deep Learning 🥔💻
• EAR IMAGE-BASED INDIVIDUAL PIG IDENTIFICATION BY USING STATISTICAL PARAMETERS 🐷📷
• Deep Learning Analysis of Rice Blast Disease Using Remote Sensing Images 🌾📡
• Image Based High throughput Phenotyping for Fusarium Wilt Resistance in Pigeon Pea 🌱🔬
• Individual Identification of Black Pig through Ear Images using Support Vector Machine 🐖💻

Conclusion

Shubhayjoti Das is a highly talented and promising researcher with a strong academic background, significant technical skills, and a growing body of impactful research. His contributions to the fields of machine learning, blockchain, and AI for agriculture and healthcare are commendable, with his research addressing critical real-world challenges. The recognition through the Young Researcher Award is well-deserved, and his active involvement in high-quality projects and publications indicates a bright future ahead.Although there is room for growth in citation impact and collaborative research, his academic foundation, technical proficiency, and innovative approach to solving practical problems make him an excellent candidate for the Best Researcher Award. His ongoing work, especially in the areas of deep learning, biometrics, and blockchain, positions him for continued success and recognition in the research community.