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Shervin Shirmohammadi

Shervin Shirmohammadi

D-Index & Metrics

Computer Science

D-Index
45
Citations
8459
World Ranking
7194
National Ranking
288

Research.com Recognitions

  • 2017 - ACM Senior Member
  • 2017 - IEEE Fellow For contributions to multimedia systems and network measurements

Overview

Shervin Shirmohammadi is affiliated with the University of Ottawa in Canada and specializes in computer science, particularly focusing on areas such as computer vision and pattern recognition, artificial intelligence, computer networks and communications, control and systems engineering, and signal processing.

The research work spans several main topics:

  • Image and Video Quality Assessment
  • Fault Detection and Control Systems
  • Anomaly Detection Techniques and Applications
  • Indoor and Outdoor Localization Technologies
  • Context-Aware Activity Recognition Systems
  • Video Coding and Compression Technologies
  • Educational Games and Gamification

Shirmohammadi's recent papers include the following:

  • "Machine Learning in Measurement Part 1: Error Contribution and Terminology Confusion", 2021, IEEE Instrumentation & Measurement Magazine
  • "Applied AI in instrumentation and measurement: The deep learning revolution", 2020, IEEE Instrumentation & Measurement Magazine
  • "Improving Accuracy and Robustness in HF-RFID-Based Indoor Positioning With Kalman Filtering and Tukey Smoothing", 2020, IEEE Transactions on Instrumentation and Measurement
  • "Machine Learning in Measurement Part 2: Uncertainty Quantification", 2021, IEEE Instrumentation & Measurement Magazine
  • "The potential of IoT for instrumentation and measurement", 2020, IEEE Instrumentation & Measurement Magazine

The frequent co-authors collaborating with Shirmohammadi are:

  • Salvatore Baglio
  • Bruno Andò
  • Max Cortner
  • Ruqiang Yan
  • Veronica Scotti

Publications appear predominantly in the following venues:

  • IEEE Instrumentation & Measurement Magazine
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Open Journal of Instrumentation and Measurement
  • 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
  • ACM Transactions on Multimedia Computing Communications and Applications

Shirmohammadi's contributions to the field include work on multimedia systems and network measurements, which led to recognitions such as becoming an IEEE Fellow in 2017 for these contributions. In the same year, Shirmohammadi was awarded ACM Senior Member status.

Best Publications

  • A survey of application-layer multicast protocols

    Mojtaba Hosseini;Dewan Tanvir Ahmed;Shervin Shirmohammadi;Nicolas D. Georganas

  • Camera as the instrument: the rising trend of vision based measurement

    Shervin Shirmohammadi;Alessandro Ferrero

  • Measuring Calorie and Nutrition From Food Image

    Parisa Pouladzadeh;Shervin Shirmohammadi;Rana Al-Maghrabi

  • YawDD: a yawning detection dataset

    Shabnam Abtahi;Mona Omidyeganeh;Shervin Shirmohammadi;Behnoosh Hariri

  • Driver drowsiness monitoring based on yawning detection

    Shabnam Abtahi;Behnoosh Hariri;Shervin Shirmohammadi

  • Impact of Skin–Electrode Interface on Electrocardiogram Measurements Using Conductive Textile Electrodes

    Bahareh Taji;Shervin Shirmohammadi;Voicu Groza;Izmail Batkin

  • An RFID-Based Position and Orientation Measurement System for Mobile Objects in Intelligent Environments

    A. A. N. Shirehjini;A. Yassine;S. Shirmohammadi

  • Equipment Location in Hospitals Using RFID-Based Positioning System

    A. A. N. Shirehjini;A. Yassine;S. Shirmohammadi

  • Applied AI in instrumentation and measurement: The deep learning revolution

    Mounib Khanafer;Shervin Shirmohammadi

  • Yawning Detection Using Embedded Smart Cameras

    Mona Omidyeganeh;Shervin Shirmohammadi;Shabnam Abtahi;Aasim Khurshid

  • An end-to-end communication architecture for collaborative virtual environments

    Shervin Shirmohammadi;Nicolas D. Georganas

  • Food calorie measurement using deep learning neural network

    Parisa Pouladzadeh;Pallavi Kuhad;Sri Vijay Bharat Peddi;Abdulsalam Yassine

  • Intelligent driver drowsiness detection through fusion of yawning and eye closure

    M. Omidyeganeh;A. Javadtalab;S. Shirmohammadi

  • Haptic Virtual Rehabilitation Exercises for Poststroke Diagnosis

    A. Alamri;M. Eid;R. Iglesias;S. Shirmohammadi

  • Software defined network traffic measurement: Current trends and challenges

    Abdulsalam Yassine;Hesam Rahimi;Shervin Shirmohammadi

  • FOCUS: Detecting ADHD Patients by an EEG-Based Serious Game

    Alaa Eddin Alchalabi;Shervin Shirmohammadi;Amer Nour Eddin;Mohamed Elsharnouby

  • Tampering Detection in Compressed Digital Video Using Watermarking

    Mehdi Fallahpour;Shervin Shirmohammadi;Mehdi Semsarzadeh;Jiying Zhao

  • Effect of Pressure on Skin-Electrode Impedance in Wearable Biomedical Measurement Devices

    Bahareh Taji;Adrian D. C. Chan;Shervin Shirmohammadi

  • Mobile Multi-Food Recognition Using Deep Learning

    Parisa Pouladzadeh;Shervin Shirmohammadi

  • Applet-based telecollaboration: a network-centric approach

    S. Shirmohammadi;J.C. De Oliveira;N.D. Georganas

  • Towards an “Internet of Food”: Food Ontologies for the Internet of Things

    Maged N. Kamel Boulos;Abdulsalam Yassine;Shervin Shirmohammadi;Chakkrit Snae Namahoot

Frequent Co-Authors

Abdulmotaleb El Saddik
Abdulmotaleb El Saddik University of Ottawa
Mohammad Kazemi
Mohammad Kazemi University of Isfahan
Andy Adler
Andy Adler Carleton University
Atif Alamri
Atif Alamri King Saud University
Vincenzo Piuri
Vincenzo Piuri University of Milan
Azzedine Boukerche
Azzedine Boukerche University of Ottawa
Ralf Steinmetz
Ralf Steinmetz Technical University of Darmstadt
Emil M. Petriu
Emil M. Petriu University of Ottawa
Miodrag Bolic
Miodrag Bolic University of Ottawa

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