Muhammet Deveci

About

Muhammet Deveci is a prolific researcher whose work spans artificial intelligence, fuzzy decision-making, robotics, and human-robot interaction. His most celebrated contribution is a 2023 systematic review on trustworthy and explainable AI in healthcare, which has garnered an remarkable 666 citations, establishing him as a leading voice in responsible AI adoption within medical contexts. This work critically examines quality, bias risk, and data fusion methodologies, reflecting his commitment to ethical and transparent AI systems. Deveci's broader portfolio demonstrates a sophisticated integration of fuzzy logic and advanced mathematical frameworks—including Pythagorean and neutrosophic sets—applied to real-world challenges such as urban transport planning with social robots, industrial energy-efficient scheduling, and modular self-reconfiguring robotic systems. His 2020 literature review on fuzzy-controlled humanoid robots further underscores his foundational expertise in intelligent robotics. More recently, Deveci has pioneered research combining EEG sensor data fusion with adversarial machine learning for trustworthy robotic hand control, pushing boundaries at the intersection of neurotechnology and explainable AI. His work consistently bridges theoretical innovation with practical application, making him an influential figure for researchers navigating the rapidly evolving landscape of intelligent systems and autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

   666 citations · 2023
2. 2
   Fuzzy controlled humanoid robots: A literature review

   54 citations · 2020
3. 3
   Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model

   28 citations · 2023
4. 4
   Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things

   11 citations · 2024
5. 5
   Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field

   8 citations · 2024
6. 6
   Trust and explainability in robotic hand control via adversarial multiple machine learning models with EEG sensor data fusion: A fuzzy decision-making solution

   2 citations · 2025
7. 7
   Complex Pythagorean neutrosophic normal interval-valued set with an aggregation operators using score values

   1 citations · 2024

Key Collaborators

Contact & Links