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Personal profile

Research Interests

Major research interests

  • Internet of Things (IoT)
  • Sensory Systems
  • Ad-hoc, Vehicular and Actor Networks
  • Big Data Analysis
  • Educational Technology
  • Affective Computing
  • Distributed and Parallel Computing/System

Research Projects

  • IoT: A Promising Technology to Improve VANET Navigation, ATU, Tehran, Iran, 2017-2018.
  • Wearable Sensors to provide Mobile Health Services, ATU, Iran, 2016-2017.
  • Data Aggregation for Personalized IoT Services, ATU, Tehran, Iran, 2015-2016. 

Personal profile

Dr Saeid Pourroostaei Ardakani has joined the University of Nottingham Ningbo as an Assistant Professor (Lecturer) in Computer Science since March 2019. His research plan focuses on the design and implementation of feedback systems for inter-disciplinary applications. He is highly interested in working on (big) sensory data collection/analysis for IoT systems.

Saeid has worked as an Assistant Professor in Computer Science, at Allamme Tabatabai University (ATU), 2015-2018. He has received the award of the best researcher of the faculty at ATU, 2018. Saeid has cooperated in several research/industrial projects especially on sensory system/network, e-health, affective computing and educational technology during the past years. He also worked as the head of ICT at ATU for two years, 2016-2018.

Dr Ardakani received his PhD in computer science from the University of Bath, UK, 2015. His PhD focused on data aggregation routing in Wireless Sensor Networks (WSNs). He also has experienced teaching at the computer science department and worked as a resident tutor in University of Bath, 2010-2015. Saeid is interested in utilizing educational technologies-mainly educational games and social networks in the classes.

Please contact Saeid by email(, if you are interested in working with him on the related projects. Potential PhD/MA students are also welcome to email him with a copy of their CVs.

Expertise Summary

Dr. Ardakani has enough research and industrial experiences in the area of sensory systems including energy conservation, synchronization, routing, localization, and data manipulation. He is fully familiar with system simulation and analytical models–mainly OMNET++/OPNET and programming on real motes such as Respiratory pie, Arduino and TelosB. Saeid also has a solid record of inter-disciplinary research especially in e-health, affective computing and e-learning. He has enough experience in working with cognitive and behavioural HCI tools-mainly EEG and Eye-tracking. 

Professional membership



Person Types

  • Staff


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