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فارسی
Farhad Pakdaman
Academic rank:
Assistant Professor
ORCID:
Education:
PhD.
ScopusId:
HIndex:
Faculty:
Faculty of Technology and Engineering
Address:
Phone:
011-35302903
E-mail:
farhad.pakdaman [at] umz.ac.ir
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Education
Courses
Research activities
Research interests
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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
Bachelor Of Science
Microprocessor and Assembly Language
Signals and Systems
Computer Architecture
Introduction to Multimedia Systems
Master Of Science
Collaborative, Parallel, and Distributed Processing of Intelligent Systems
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)
Juniper: A Jnd-Based Perceptual Video Coding Framework to Jointly Utilize Saliency and JND
Sanaz Nami, Farhad Pakdaman, 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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