Okba Kazar

About

Okba Kazar is a pioneering researcher at the intersection of artificial intelligence, cloud robotics, and the Internet of Things (IoT). His work focuses on creating intelligent, autonomous systems that bridge the physical and digital worlds. Kazar’s major contributions include developing a deep learning and sentiment analysis framework for customer satisfaction chatbots, which has garnered 13 citations for its innovative approach to natural language processing. He also advanced cloud robotics by integrating web services with the NAO robot, enabling offloaded computing for enhanced performance. In the realm of multi-agent systems, Kazar applied fuzzy logic to robot manipulator control, improving precision in complex environments. His applied research extends to defense and smart homes, where he designed an IoT-based solar-powered camouflaged robot for military border surveillance and a mobile IoT robot for cost-effective smart home monitoring. With a citation count of over 30 across his most influential works, Kazar’s interdisciplinary contributions demonstrate a commitment to practical, scalable solutions that leverage AI and robotics to address real-world challenges in automation, security, and human-computer interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   Empowering customer satisfaction chatbot using deep learning and sentiment analysis

   13 citations · 2024
2. 2
   A web services based solution for the NAO robot in cloud robotics environment

   6 citations · 2017
3. 3
   A Multi-Agent Approach Based on Fuzzy Logic For a Robot Manipulator.

   4 citations · 2009
4. 4
   Design and Development of an IoT-based Solar Powered Camouflaged Robot for Military Applications

   4 citations · 2022
5. 5
   New approach using an IoT robot to oversightthe smart home environment

   3 citations · 2019

Key Collaborators

Contact & Links