ARCIS: Advanced Research Centre for IoT and Communication Systems

 Research center dedicated to advancing the field of Internet of Things (IoT) and communication systems


ARCIS aims to enable seamless interconnection of the physical world and cyberspace, facilitating a new era of intelligent systems that use the power of data from the real world to optimise processes, improve decision-making, and enhance human experiences. To achieve this vision, ARCIS focuses on developing novel IoT architectures and applications, modelling methodologies, and performance evaluation techniques that can effectively capture the dynamics of the interconnected physical and digital realms.


The primary goal is to enable the ubiquitous connectivity and intelligence of objects, transforming them into smart devices that can sense, act, and communicate with each other. This has the potential to integrate the physical and digital world and introduce a wealth of opportunities for innovative applications and services. A wide range of scenarios, from smart homes and cities to healthcare and industrial automation can be considered.

Role in KALTEV

As part of ODTÜ KALTEV, ARCIS plays a crucial role in the research areas of modern communication systems, energy, IT, modern agriculture, and security, leveraging the combined strengths of academic knowledge and industrial innovation to address pressing global challenges with a sustainable perspective.


Prof. Dr. Enver Ever

Assoc. Prof. Dr. Tayfun Nesimoglu

Dr. Muhammad Toaha Raza Khan


Dr. Muhammad Sohail
Middle East Technical University,
Northern Cyprus Campus

Dr. Omar Chughtai
COMSATS University Islamabad
Wah Campus, Pakistan

Assistants and Students:

Graduate Assistants

Undergraduate Students

Focus Areas:

  • IoT Infrastructure and applications: Comprising sensors and sensor networks together with applications such as surveillance, activity recognition, and smart agriculture.
  • 5G/6G Technologies: Engineering the future Internet, involving 5G/6G mobile technologies, where greater support for reliable machine-to-machine (M2M) communications is required.
  • Modelling and performance evaluation of communication systems: Evaluation and optimisation studies for wireless communication, distributed computing, and cloud-based systems.
  • Wireless Sensor Networks (WSN): Associated through the Internet via WSN.
  • Radio-frequency Identification (RFID): Associated through the Internet via RFID.
  • Bluetooth Technologies: Associated through the Internet via Bluetooth.
  • Near-field Communication (NFC): Associated through the Internet via NFC.
  • Long Term Evolution (LTE): Associated through the Internet via LTE.
  • Distributed Computing: Enhancing data communication to large-scale cloud/edge computing and intelligent big data analytics.
  • Internet of Things (IoT) in Health: Exploring opportunities and challenges from IoT-aided e-health computing to digitally-enhanced healthy living.

Ongoing Projects:

  • Human Activity Recognition Using Wearable and Smart Building Sensors.
  • Smart Agriculture with IoT and Edge Computing.
  • AI-CRS: Artificial Intelligence-based Course Recommendation System.

Selected Publications:

To Be Announced Soon . . .