Iqbal Hasan
Papers
2
Total Citations
7
H-Index
2
About
Iqbal Hasan’s research lies at the intersection of knowledge management, e-governance, and privacy-preserving machine learning, with a focus on building resilient, sustainable digital systems. In his highly cited work, “Knowledge Management Framework for Sustainability and Resilience in Next-Gen e-Governance” (2021, 5 citations), Hasan proposed a novel framework that integrates knowledge management principles to enhance the adaptability and long-term viability of e-governance platforms—a critical contribution as governments worldwide digitize services. More recently, his 2023 paper, “CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction” (2 citations), tackles the pressing challenge of data privacy in industrial human-robot interaction (HRI). By introducing a communication-efficient federated learning approach, Hasan enables robots to learn from decentralized data without compromising sensitive operational information, advancing both autonomy and security in complex manufacturing environments. His work bridges theoretical frameworks with practical, privacy-aware solutions, positioning him as a forward-thinking researcher in sustainable digital transformation and intelligent automation.
Research Focus
Key Achievements
Top Papers
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- 2