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Farhad Pakdaman

Farhad Pakdaman

Academic rank: Assistant Professor
ORCID:
Education: PhD.
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HIndex:
Faculty: Faculty of Technology and Engineering
Address:
Phone: 011-35302903

Education

  • PhD. in Computer Engineering , University of Tehran , Iran (2013 - 2019)
    Thesis title: An efficient and power-aware architecture for the HEVC encoder, based on dual-tree complex wavelet transform
  • MSc. in Computer Engineering , University of Tehran , Iran (2011 - 2013)
    Thesis title: Increasing the performance of circuit-switched NoC by using predictive circuit set-up
  • BSc. in Computer Engineering , University of Mazandaran , Iran (2006 - 2011)
    Thesis title: Design and simulation of a RISC processor
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Courses

Research activities

Journal Papers
SVM based approach for complexity control of HEVC intra coding Farhad Pakdaman, Li Yu, Mahmoud Reza Hashemi, Mohammad Ghanbari, Moncef Gabbouj (2021)
A Skill-Based Visual Attention Model for Cloud Gaming Hamed Ahmadi, Saman Zadtootaghaj, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi (2021)
Fine-grain complexity control of HEVC intra prediction in battery-powered video codecs Elahe Hosseini, Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari (2020)
A low complexity and computationally scalable fast motion estimation algorithm for HEVC Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari (2020)
A computationally scalable fast intra coding scheme for HEVC video encoder Elahe Hosseini, Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari (2018)
Fast and efficient intra mode decision for HEVC, based on dual-tree complex wavelet Farhad Pakdaman, Mahmoud Reza Hashemi, Mohammad Ghanbari (2016)
Integrated circuit-packet switching NoC with efficient circuit setup mechanism Farhad Pakdaman, Abbas Mazloumi, Mehdi Modarressi (2015)
Conference Papers
Complexity analysis of next-generation vvc encoding and decoding Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi (2020)
FRAME-SDN: a fair resource allocation for multiplayer edge-based cloud gaming in SDN Paniz Parastar, Farhad Pakdaman, Mahmoud Reza Hashemi (2020)
SARA-SDN: state aware resource allocation in SDN to improve QoE in cloud gaming Mehrdad Hosseinnejad Yami, Farhad Pakdaman, Mahmoud Reza Hashemi (2020)
Fast motion estimation algorithm with efficient memory access for HEVC hardware encoders Farhad Pakdaman, Moncef Gabbouj, Mahmoud Reza Hashemi, Mohammad Ghanbari (2018)
Theses
Predicting the Quality of Experience for Video Streaming Services Mohammed Qasim Abdulsada, Farhad Pakdaman, Mostafa Bastam (2024)
برنامه ریزی وظایف برای محاسبات ابری ومه Mustafa Aldulaimi, Farhad Pakdaman, sekineh asadi amiri (2023)
Improving the quality of video streaming services via adaptive bit rate streaming Hussein Oudah Kadhim, Farhad Pakdaman, Mostafa Bastam (2023)

Research interests

  • Machine learning for multimedia systems
  • Low power and energy efficient computing
  • Multimedia systems and networks
  • Image/vide processing and compression
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