第 2025 届机器学习与自主系统国际会议（ICMLAS）

Dr. R. Kanthavel

Papua New Guinea University of Technology (PNGUoT),
Papua New Guinea.

Dr. Shajulin Benedict

Guest Professor of TUM-Germany &
Faculty-InCharge (R&D and International Affairs)
Indian Institute of Information Technology,
Kottayam, India.

Dr. V. Suma

Vice Principal & Professor and Head,
Department of Computer Science and Design,
Dayananda Sagar College of Engineering,
Bangalore, India

Track 1: Hardware Acceleration for Machine Learning

Track 2: Sensor Integration and Data Acquisition

Track 3: Autonomous Control Systems

• ASIC Design for Neural Network Acceleration
• FPGA-Based Accelerators
• Quantum Computing for ML
• Memristor-based Neuromorphic Computing
• Optical Neural Networks
• Reconfigurable Computing
• Energy-Efficient Accelerator Design

• Embedded Sensor Interfaces
• Edge Computing for Sensor Fusion
• Real-time Signal Processing
• Low-Power Data Acquisition Circuits
• Wireless Sensor Networks
• High-Speed Data Converters
• Biometric Sensor Integration

• Embedded Control Systems
• PID Controller Design
• Kalman Filtering for Sensor Fusion
• Model Predictive Control (MPC)
• Fault-Tolerant Control Circuits
• Neural Network Control Systems
• Real-time Operating Systems (RTOS)