Genel Bilgiler

Kurum Bilgileri: Mühendislik Fakültesi, Elektrik Ve Elektronik Mühendisliği Bölümü

Yayınlardaki İsimler: Sajjad Baghaee, S. Baghaee
Metrikler

Yayın

23

Yayın (WoS)

8

Yayın (Scopus)

20

Atıf (WoS)

118

H-İndeks (WoS)

5

Atıf (Scopus)

231

H-İndeks (Scopus)

9

Atıf (Scholar)

45

H-İndeks (Scholar)

2

Atıf (Diğer Toplam)

3

Açık Erişim

3
BM Sürdürülebilir Kalkınma Amaçları
Biyografi

Alper Alioğlu (Sajjad Baghaee) is a Senior Researcher with the Communication Networks Research Group at Middle East Technical University, Türkiye. His research focuses on the Internet of Things (IoT), Age of Information (AoI), goal-oriented communications, reinforcement learning, and digital twins for smart environments. He has contributed to the design of age-aware communication protocols, energy-efficient IoT architectures, and machine learning–driven HVAC control systems, with applications in smart cities, smart grids, and sustainable buildings.
In addition to his academic role, he is Chief Technology Officer at FRESHDATA Technologies, where he develops age-sensitive IoT fault detection systems for electricity distribution networks. He also serves as Principal Investigator and Senior IoT Engineer at JeoIT Ltd., leading end-to-end IoT projects on environmental monitoring, LoRa-based communication systems, and network optimization for industrial and urban applications. Furthermore, he is a Senior Researcher at SUIT, where he applies IoT and machine learning methodologies for smart HVAC systems and sustainable urbanization platforms.
His professional expertise spans IoT protocol design (MQTT, LoRaWAN, Wi-Fi, Bluetooth, TCP/UDP), embedded systems, wireless sensor networks, reinforcement learning, and delay/disruption-tolerant networking. He has authored numerous journal and conference papers in IEEE and other venues, co-authored a Cambridge University Press book chapter on Age of Information, and actively serves as a reviewer for IEEE/ACM journals and conferences. His broader interests include semantic communications, experimental IoT testbeds, and energy-constrained network optimization.