Anand Paul

Dr. Anand Paul is an Associate Professor in the Department of Biostatistics & Data Science at LSU Health Sciences Center New Orleans. He holds a PhD in Electrical Engineering from National Cheng Kung University, Taiwan, and earlier degrees from Bharathiyar University and Government Polytechnic in India. His work focuses on artificial intelligence, IoT, smart cities, and big data analytics with applications in energy systems, healthcare, and urban infrastructure.

Education:

• PhD in Electrical Engineering, National Cheng Kung University, Taiwan (2004–2010)
• BE in Electrical and Electronics Engineering, Bharathiyar University (2001)
• D.E.E.E., Government Polytechnic (1998)

Research Interests:

Dr. Paul’s research bridges computer science and engineering with societal challenges. He develops AI-driven solutions for smart cities, including energy-efficient IoT systems and real-time fire detection. His work on big data analytics has advanced task scheduling in distributed computing and semantic segmentation for low-resource devices. He also explores applications in healthcare monitoring and urban population dynamics through data science.

Articles Trends:

His publications span AI applications in energy systems, IoT security, and urban infrastructure. Recent work highlights include hybrid CNN-LSTM models for electricity forecasting, blockchain-based logistics solutions, and reinforcement learning for node embedding. His contributions to MapReduce optimization and defect detection in 3D printing demonstrate cross-disciplinary impact.

Advising & Grants:

No specific advising or grant details are provided, but his collaborative publications suggest involvement in interdisciplinary research teams across institutions in South Korea, Taiwan, and India.