V. C. Mahaadevan
Papers
3
Total Citations
45
H-Index
3
About
V. C. Mahaadevan is an emerging researcher specializing in electric vehicle (EV) charging automation, computer vision, and intelligent robotics. His work sits at the compelling intersection of deep learning and sustainable transportation infrastructure, addressing one of the most pressing challenges in the global EV adoption landscape: the automation of charging procedures. Mahaadevan's most influential contribution, "Automatic Identifier of Socket for Electrical Vehicles Using SWIN-Transformer and SimAM Attention Mechanism-Based EVS YOLO" (2023), has garnered 31 citations, demonstrating strong community interest in his novel application of transformer-based architectures for real-world EV socket identification. Building on this foundation, his AViTRoN framework (2024, 10 citations) introduced advanced vision-guided routing and navigation capabilities for autonomous charging robots, pushing the boundaries of end-to-end charging automation. His 2025 work further consolidates this trajectory by presenting integrated robotic arm designs compatible across multiple EV manufacturers. Collectively, Mahaadevan's research contributes meaningfully to bridging the gap between green transportation goals and practical charging infrastructure. For students and researchers working in autonomous systems, computer vision, or EV technology, his body of work offers valuable insights into applied AI solutions with real environmental impact.
Research Focus
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Top Papers
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