Mr. Pritam BIKRAM | Artificial Intelligence | Best Researcher Award
Indian Institute of Engineering Science and Technology, Shibpur, India
Author Profile
🎓 EARLY ACADEMIC PURSUITS
Mr. Pritam Bikram began his academic journey with a B.Tech in Information Technology from the Government College of Engineering and Leather Technology, graduating in 2020. With a strong foundation in computational systems and programming, he advanced his studies by pursuing an M.Tech in Information Technology at the prestigious Indian Institute of Engineering Science and Technology (IIEST). His dedication and academic excellence earned him a GATE scholarship during this period. Currently, he is pursuing his Ph.D. at IIEST, where his research is focused on advanced applications of Artificial Intelligence (AI) in real-world domains.
🏢 PROFESSIONAL ENDEAVORS
Throughout his academic tenure, Mr. Bikram has remained consistently involved in cutting-edge research and collaborative scientific inquiry. Working under a result-oriented and interdisciplinary professional environment, he has contributed to the development of novel AI-based solutions in Intelligent Transportation Systems (ITS), remote sensing, environmental monitoring, and precision agriculture. His analytical mindset and logical problem-solving approach have enabled him to tackle multifaceted challenges across domains.
📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ARTIFICIAL INTELLIGENCE
Mr. Bikram’s core research lies in the realm of Artificial Intelligence, with specific focus areas including:
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Trajectory prediction using graph neural networks
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Missing spatio-temporal data imputation
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Deep learning applications for traffic forecasting
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AI-driven spectral analysis for crop disease monitoring
His work is characterized by graph-based encoder-decoder learning frameworks, attentive graph structure learning, and dynamic attention mechanisms, reflecting a deep command over neural architectures and real-world data-driven applications.
🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION
Mr. Bikram is the first author of multiple high-impact peer-reviewed journal articles, including:
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Expert Systems with Applications (Elsevier, 2025)
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Neurocomputing (Elsevier, 2024)
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Applied Intelligence (Springer, 2024)
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Remote Sensing Applications: Society and Environment (Elsevier, 2025)
His research has begun gaining strong academic traction and citations, contributing to the broader scientific discourse in AI and its applications. He has also received:
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🎓 GATE Scholarship (2020)
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🧠 Ph.D. Institute Scholarship (2022)
🌍 IMPACT AND INFLUENCE
Mr. Bikram’s contributions have significant implications for smart city development, environmental sustainability, and agritech innovations. His models have demonstrated real-world applicability in enhancing urban mobility, early disease detection in agriculture, and data imputation for intelligent decision-making systems. By addressing societal challenges with AI, he continues to drive forward impactful and sustainable technological solutions.
🧭 LEGACY AND FUTURE CONTRIBUTIONS
Looking ahead, Mr. Bikram envisions integrating interdisciplinary AI methodologies with climate science, transportation modeling, and remote sensing technologies. His role as a reviewer for esteemed journals like Knowledge-Based Systems, Neurocomputing, Applied Intelligence, and IEEE Transactions on Intelligent Vehicles marks him as a thought leader shaping future research directions.
He is also preparing to become an IEEE Member (December 2025), aligning with a global network of innovators.
✅CONCLUSION
With a powerful combination of technical expertise, research depth, and real-world problem-solving focus, Mr. Pritam Bikram stands as an emerging scholar in the Artificial Intelligence community. His contributions are expected to influence diverse fields from urban mobility to climate-resilient agriculture, leaving a lasting legacy.
🔬NOTABLE PUBLICATION:
Effective message-passing scheme and aggregation technique embedded in graph-based encoder-decoder learning framework for trajectory prediction
Author(s): Pritam Bikram, Shubhajyoti Das, Arindam Biswas
Journal: Expert Systems with Applications
Year: 2025
Multilayer optimized deep learning model to analyze spectral indices for predicting the condition of rice blast disease
Author(s): Shubhajyoti Das, Pritam Bikram, Arindam Biswas, Vimalkumar C., Parimal Sinha
Journal: Remote Sensing Applications: Society and Environment
Year: 2025
Dynamic attention aggregated missing spatial–temporal data imputation for traffic speed prediction
Author(s): Pritam Bikram, Shubhajyoti Das, Arindam Biswas
Journal: Neurocomputing
Year: 2024
Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting
Author(s): Pritam Bikram, Shubhajyoti Das, Arindam Biswas
Journal: Applied Intelligence
Year: 2024