AFSUAM Smart Factory Systems Research Team
Non-Profit Academic Research Group
AFSUAM Research Group
Intelligent Systems for the Factories of Tomorrow
Operating within İzmir Kâtip Çelebi University's Smart Factory Systems Application and Research Center (AFSUAM), the research group develops interdisciplinary, experimentally grounded approaches for intelligent, connected, adaptive and human-centered manufacturing. Its work brings together artificial intelligence, industrial software, automation, digital twins, sensing, RF and wireless technologies, embedded systems and industrial IoT.
Academic
Interdisciplinary
Open Research
Research System Map
Connected
01
Sensors
Physical layer
02
Connectivity
Network layer
03
Industrial Data
Information layer
04
Artificial Intelligence
Decision layer
05
Digital Twin
Simulation layer
06
Intelligent Manufacturing
Production layer
People
Research Leadership
An interdisciplinary leadership team spanning intelligent manufacturing, industrial software, RF systems, sensing and connected production technologies.
AK
Prof. Dr. Adnan Kaya
Principal Investigator (PI)
Research Focus
Smart factory systems, industrial automation, intelligent manufacturing, cyber-physical systems and industry–academia research.
İA
Dr. İsmail Akdağ
Co-Principal Investigator (PI-Equivalent)
Research Focus
Artificial intelligence, machine learning, industrial software, digital twins, computer vision, industrial IoT and data-driven manufacturing.
CG
Dr. Cem Göçen
Co-Principal Investigator (PI-Equivalent)
Research Focus
RF and microwave systems, antennas, RFID, wireless sensing, industrial localization and intelligent sensor technologies for smart factories.
About
About the Research Group
The group advances scientific knowledge through interdisciplinary academic research at the intersection of manufacturing, electronics, software, communication technologies and artificial intelligence.
Its research pipeline connects physical manufacturing environments with sensors and RFID, industrial communication, data acquisition, modelling, simulation and AI-assisted decision support. Activities extend from theoretical investigation and software/hardware development to prototyping, laboratory evaluation, student-led research and industry–academia collaboration.
Interdisciplinary Bridge
Manufacturing
Electronics
Software
Communication
Physical Systems
Artificial Intelligence
Research Scope
Research Areas
A connected research agenda linking physical production, industrial data and scientifically grounded intelligent systems.
01 / 08
Smart Manufacturing
Intelligent and adaptive manufacturing systems for next-generation production environments.
02 / 08
Artificial Intelligence for Industry
Machine learning, computer vision, optimization and intelligent decision-support systems.
03 / 08
Digital Twins
Digital representations of production systems for simulation, monitoring, optimization and control.
04 / 08
Industrial IoT
Connected sensors, embedded devices, industrial communication and distributed data acquisition.
05 / 08
RFID & Wireless Sensing
RFID, wireless identification, sensing, tracking and localization technologies for manufacturing environments.
06 / 08
RF & Microwave Systems
Antennas, RF hardware and wireless technologies supporting connected industrial systems.
07 / 08
Automation & Cyber-Physical Systems
Integration of physical manufacturing equipment with computation, communication and autonomous control.
08 / 08
Human-Centered Manufacturing
Intelligent workstations, operator assistance, ergonomics and human–machine collaboration.
Purpose
Our Mission
The group aims to develop scientifically rigorous and experimentally validated technologies for connected, intelligent, sustainable and human-centered manufacturing.
Connected
Intelligent
Adaptive
Sustainable
Human-Centered
Experimentally Validated
Academic Work
Academic Activities
The group connects scientific research, student development and industry–academia collaboration.
Scientific Research
Research Projects
Scientific Publications
Experimental Prototypes
Undergraduate Research
Graduate Research
Industry–Academia Collaboration
Research Partnerships
Open Research
Research & Collaboration
The group welcomes collaboration with researchers, universities, research centers, students and industrial R&D teams working on smart manufacturing and intelligent industrial systems.
Contact the Research Group →Joint Research Projects
Research Proposals
Experimental Studies
Graduate Research
Student Projects
Prototype Development
Scientific Publications
Industry-Supported Research
