Intelligent Systems


Prof. Dr. Benyamin Kusumoputro

Principal Investigator

In this research focus, we create and develop intelligent systems for engineering applications. We provide state-of-the-art in our research areas, which are to be applicable in real-world systems. Our research interests are in engineering optimization, autonomous vehicle, model predictive control, multi-agent systems, neural network-based control systems, computational intelligence, and decentralized learning.  

Representative of outcomes


Autonomous Human and Animal Classification Using Synthetic 2D Tensor Data Based on Dual-Receiver mmWave Radar System
Author: A. R. Darlis et al.


Published in: IEEE Access (Vol: 11)
Page(s): 80284-80296
Date of Publication: 2023
DOI: 10.1109/ACCESS.2023.3299325

Deep Learning for Distributed User Association in Massive Industrial IoT Networks
Author: N. Raharya, C. She, W. Hardjawana and B. Vucetic


Published in: 2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China
Page(s): 1-6
Date of Publication: 2021
DOI: 10.1109/WCNC49053.2021.9417303

Pursuit Learning-Based Joint Pilot Allocation and Multi-Base Station Association in a Distributed Massive MIMO Network
Author: N. Raharya, W. Hardjawana, O. Al-Khatib and B. Vucetic


Published in: IEEE Access (Vol: 8)
Page(s): 58898-58911
Date of Publication: 2020
DOI: 10.1109/ACCESS.2020.2982974


  1. Methods 
  2. Algorithms 
  3. Hardware 
  4. Small-scale or Large-scale simulation systems