Charan Arur Panem

Papers

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About

Dr. Charan Arur Panem is a researcher at the intersection of cloud computing, robotics, and brain–computer interfaces (BCIs). His most influential work, "Real-Time Cloud-Based Load Balance Algorithms and an Analysis" (2020, 15 citations), advances the efficiency of distributed systems by proposing novel load-balancing strategies that optimize resource allocation in real-time cloud environments. This contribution is critical for scaling modern cloud services. Expanding on this foundation, his paper "Robotic Technology-Based Cloud Computing for Improved Services" (2020, 6 citations) explores how integrating robotics with cloud architectures can enhance service delivery, particularly in automation and remote operations. More recently, Dr. Panem has ventured into neurotechnology with his 2024 review on contemporary BCI research and limitations, offering a critical synthesis of current challenges—such as signal processing and user adaptation—that hinder real-world BCI deployment. Though early in this direction, the work signals a broadening of his expertise into human–machine interaction. With a growing citation record and a trajectory spanning systems optimization to cognitive interfaces, Dr. Panem’s research is shaping how cloud and robotic systems can become more responsive, intelligent, and accessible.