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10.05.1979
masoud.daneshtalab@taltech.ee

Career

Institutions and positions
01.05.2020–...   
Tallinn University of Technology , School of Information Technologies, Department of Computer Systems, adjunct professor (0,20)
2020–...   
Mälardalen University, Professor (100,00)
02.03.2020–30.04.2020   
Tallinn University of Technology , School of Information Technologies, Department of Computer Systems, Expert (0,35)
01.03.2019–01.03.2020   
Tallinn University of Technology , School of Information Technologies, Department of Computer Systems, Adjunct Professor (0,20)
2016–2020   
Mälardalen University, Associate Professor (100,00)
 
 
Education
2008–2011   
PhD

Qualifications

 
 
Honours & awards
2019, Masoud Daneshtalab, Best Paper Award for the paper “Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments” IEEE 6th Conference on the Engineering of Computer Based Systems (ECBS).
2018, Masoud Daneshtalab, Best Paper Award for the paper “Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems” IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2018.
2017, Masoud Daneshtalab, HiPEAC Paper Award for “EbDa: A New Theory on Design and Verification of Deadlock-free Interconnection Networks,” IEEE/ACM International Symposium on Computer Architecture (ISCA),
2016, Masoud Daneshtalab, HiPEAC Paper Award for “Customizable Compression Architecture for Efficient Configuration in CGRAs,” IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM).
2016, Masoud Daneshtalab, HiPEAC Paper Award for “Shift Sprinting: Reliable Temperature-aware MCSoC Architecture in Dark Silicon Era” IEEE/ACM International Conference on Design Automation Conference (DAC).
2015, Masoud Daneshtalab, Research grant award from TUTKIJAT MAAILMALLE, (18K-Euro)
2014, Masoud Daneshtalab, EU Marie Skodowska Curie Fellowship
2013, Masoud Daneshtalab, HiPEAC Paper Award for “Smart Hill Climbing for Agile Dynamic Mapping in Many-Core Systems” Design Automation Conference (DAC).
2011, Masoud Daneshtalab, Research Grant Award for Excellence in Graduate Studies from KAUTE Foundation (5K-Euro).
2009, Masoud Daneshtalab, Research Grant Award for Excellence in Graduate Studies from Nokia Foundation, (5K-Euro).
 
 
Fields of research
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS CLASSIFICATION: T120 Systems engineering, computer technology
 
 
Additional information
PROJECT EVALUATION:
• Belgian Research Council (FWO), since 2018.
• Irish Research Council since 2017.
• European Horizon 2020/ICT and COST Action since 2016.
• Austrian Science Fund (FWF), since 2016.
• Natural Sciences and Engineering Research Council of Canada (NSERC), since 2015.
• Research Department of Sultan Qaboos University and Oman Research Council, since 2015.
JOURNAL EDITORIAL DUTIES
• Associate Editor: Elsevier Journal of Microprocessors and Microsystems (MICPRO), since 2016.
• Associate Editor: Elsevier Journal of Computers & Electrical Engineering (CAEE), since 2014.
• Associate Editor: World Research Journal of Computer Architecture (JCA), since 2013.
• Editorial Board: The Scientific World Journal, since 2013.
• Editorial Board: Intern. Journal of Embedded and Real-Time Communication Systems (IJERTCS), since 2012.
• Editorial Board: Intern. Journal of Distributed Systems and Technologies (IGI-IJDST), since 2012.
• Editorial Board: Intern. Journal of Adaptive, Resilient and Autonomic Systems (IGI-IJARAS), since 2012.
TECHNICAL PROGRAM COMMITTEE:
• IEEE/ACM Design Automation Conference – DAC (2019)
• IEEE International Conference on High Performance Computing and Communications – HPCC (2018-19)
• IEEE/ACM International Conference on Computer Aided Design – ICCAD (2016-17)
• IEEE/ACM Design, Automation, and Test in Europe – DATE (2014-19)
• IEEE/ACM Asia and South Pacific Design Automation Conference – ASPDAC (2015-17)
• IEEE/ACM International Symposium on Networks-on-Chip – NOCS (2013-19)
• IEEE/ACM International Conference on VLSI Design – VLSID (2014-16)
• IEEE International Symposium on Reconfigurable Communication-centric SoC – ReCoSoC (2016-19)
• IEEE International System-on-Chip Conference – SOCC (2013-19)
• IEEE International Conference on Cyber, Physical and Social Computing – CPSCom (2017)
• International Conference on Algorithms and Architectures for Parallel Processing – ICA3PP (2016-19)
• IEEE International Symposium on VLSI Design and Test Symposium – VDAT (2015)
• IEEE Symposium on Integrated Circuits and Systems Design – SBCCI (2015-17)
• IEEE Euromicro Conference on Parallel, Distributed and Network-based Computing – PDP (12-19)
• IEEE Symposium on Embedded Systems for Real-Time Multimedia/ESWeek – ESTIMedia (12-19)
• IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip – MCSoC (2014-19)
• IEEE Conference on Design & Technology of Integrated Systems in Nanoscale Era – DTIS (2014, 15)
• IEEE Int. Japan-Egypt Conf. on Electronics Communication and Computers – JEC-ECC (2013-19)
CONFERENCE AND SYMPOSIUM ORGANIZER
• Program Chair, 25th IEEE Inter. Conf. on Parallel, Distributed, and Network-Based Processing – Russia, 2017. (Euromicro)
• Program Chair, 11th IEEE Symp. on Reconfigurable Communication-centric SoC – ReCoSoC-16, Tallinn, Estonia, 2016.
• General Chair, 24th IEEE Inter. Conf. on Parallel, Distributed, and Network-Based Processing – Greece, 2016. (Euromicro)
• General Chair, 23rd IEEE Inter. Conf. on Parallel, Distributed, and Network-Based Processing – Finland, 2015. (Euromicro)
PUBLIC EXAMINER/OPPONENT:
• Opponent on the PhD thesis “Dependability Improvement of NoC-based Systems”, Behrad Niazmand, Tallinn University of Technology, 2018.
• Opponent on the PhD thesis “Adaptive Routing Methods for On-Chip Interconnection Networks”, Poona Bahrebar, Gent University, 2017.
• Grading committee on the PhD thesis “Flexible Electrical and Photoelectrical Artificial Synapses for Neuromorphic Systems”, Kunlong Yang, KTH, 2018.
MANAGEMENT COMMITTEE:
• Euromicro board of director, since 2016
• EU COST Action 1202: Timing Analysis on Code-Level (TACLe), since 2014.
• EU COST Action 1401: Memristors-Devices, Models, Circuits, Systems and Applications, since 2015.
INVITED TALKS:
• Newcastle University, UK, 2014, Low power computing paradigm.
• University of Twente, Netherland, 2015, Spiking neural networks computing fabric
• University of Southampton, UK, 2015, Approximation computing
• University of Glasgow, UK, 2015, CGRA - A New Paradigm for Reconfigurable Computing.
• Aarhus University, Denmark, 2015, Towards energy efficient computing
• University of Tehran, Iran, 2018, Deep Learning Optimization
• Automation Region, Sweden, 2018, Deep learning for image processing

RESEARCH VISITS:
• University of California-Irvine (UCI), USA, Oct. 2015.
• Washington State University (WSN), USA, Oct. 2014.
• Massachusetts Institute of Technology (MIT), USA, Sept. 2014.
• Guangzhou Institute of Advanced Technology (GIAT), China, Aug. 2014.
• University of Electronic Science and Technology of China (UESTC), China, March 2013.
• Chinese University of Hong Kong (CUHK), Hong Kong, Oct. 2011.
• Tallinn University of Technology (TUT), Estonia, June 2011.
• Royal Institute of Technology (KTH), Sweden, Feb. 2010.

Dissertations under supervision

Supervision of postdoctoral researchers

  • 01.02.2019−01.02.2021    Sima Sinaie  "Deep learning accelerators" (Mälardalen University)

Publications

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28.03.2021
10.05.1979
masoud.daneshtalab@taltech.ee

Teenistuskäik

Töökohad ja ametid
01.05.2020–...   
Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Arvutisüsteemide instituut, kaasatud professor (0,20)
2020–...   
Mälardalen University, Professor (100,00)
02.03.2020–30.04.2020   
Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Arvutisüsteemide instituut, ekspert (0,35)
01.03.2019–01.03.2020   
Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Arvutisüsteemide instituut, kaasatud professor (0,20)
2016–2020   
Mälardalen University, Dotsent (100,00)
 
 
Haridustee
2008–2011   
PhD

Kvalifikatsioon

 
 
Teaduspreemiad ja tunnustused
2019, Masoud Daneshtalab, Best Paper Award for the paper “Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments” IEEE 6th Conference on the Engineering of Computer Based Systems (ECBS).
2018, Masoud Daneshtalab, Best Paper Award for the paper “Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems” IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2018.
2017, Masoud Daneshtalab, HiPEAC Paper Award for “EbDa: A New Theory on Design and Verification of Deadlock-free Interconnection Networks,” IEEE/ACM International Symposium on Computer Architecture (ISCA),
2016, Masoud Daneshtalab, HiPEAC Paper Award for “Customizable Compression Architecture for Efficient Configuration in CGRAs,” IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM).
2016, Masoud Daneshtalab, HiPEAC Paper Award for “Shift Sprinting: Reliable Temperature-aware MCSoC Architecture in Dark Silicon Era” IEEE/ACM International Conference on Design Automation Conference (DAC).
2015, Masoud Daneshtalab, Research grant award from TUTKIJAT MAAILMALLE, (18K-Euro)
2014, Masoud Daneshtalab, EU Marie Skodowska Curie Fellowship
2013, Masoud Daneshtalab, HiPEAC Paper Award for “Smart Hill Climbing for Agile Dynamic Mapping in Many-Core Systems” Design Automation Conference (DAC).
2011, Masoud Daneshtalab, Research Grant Award for Excellence in Graduate Studies from KAUTE Foundation (5K-Euro).
2009, Masoud Daneshtalab, Research Grant Award for Excellence in Graduate Studies from Nokia Foundation, (5K-Euro).
 
 
Teadustöö põhisuunad
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS KLASSIFIKAATOR: T120 Süsteemitehnoloogia, arvutitehnoloogia
 
 
Lisainfo
PROJECT EVALUATION:
• Belgian Research Council (FWO), since 2018.
• Irish Research Council since 2017.
• European Horizon 2020/ICT and COST Action since 2016.
• Austrian Science Fund (FWF), since 2016.
• Natural Sciences and Engineering Research Council of Canada (NSERC), since 2015.
• Research Department of Sultan Qaboos University and Oman Research Council, since 2015.
JOURNAL EDITORIAL DUTIES
• Associate Editor: Elsevier Journal of Microprocessors and Microsystems (MICPRO), since 2016.
• Associate Editor: Elsevier Journal of Computers & Electrical Engineering (CAEE), since 2014.
• Associate Editor: World Research Journal of Computer Architecture (JCA), since 2013.
• Editorial Board: The Scientific World Journal, since 2013.
• Editorial Board: Intern. Journal of Embedded and Real-Time Communication Systems (IJERTCS), since 2012.
• Editorial Board: Intern. Journal of Distributed Systems and Technologies (IGI-IJDST), since 2012.
• Editorial Board: Intern. Journal of Adaptive, Resilient and Autonomic Systems (IGI-IJARAS), since 2012.
TECHNICAL PROGRAM COMMITTEE:
• IEEE/ACM Design Automation Conference – DAC (2019)
• IEEE International Conference on High Performance Computing and Communications – HPCC (2018-19)
• IEEE/ACM International Conference on Computer Aided Design – ICCAD (2016-17)
• IEEE/ACM Design, Automation, and Test in Europe – DATE (2014-19)
• IEEE/ACM Asia and South Pacific Design Automation Conference – ASPDAC (2015-17)
• IEEE/ACM International Symposium on Networks-on-Chip – NOCS (2013-19)
• IEEE/ACM International Conference on VLSI Design – VLSID (2014-16)
• IEEE International Symposium on Reconfigurable Communication-centric SoC – ReCoSoC (2016-19)
• IEEE International System-on-Chip Conference – SOCC (2013-19)
• IEEE International Conference on Cyber, Physical and Social Computing – CPSCom (2017)
• International Conference on Algorithms and Architectures for Parallel Processing – ICA3PP (2016-19)
• IEEE International Symposium on VLSI Design and Test Symposium – VDAT (2015)
• IEEE Symposium on Integrated Circuits and Systems Design – SBCCI (2015-17)
• IEEE Euromicro Conference on Parallel, Distributed and Network-based Computing – PDP (12-19)
• IEEE Symposium on Embedded Systems for Real-Time Multimedia/ESWeek – ESTIMedia (12-19)
• IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip – MCSoC (2014-19)
• IEEE Conference on Design & Technology of Integrated Systems in Nanoscale Era – DTIS (2014, 15)
• IEEE Int. Japan-Egypt Conf. on Electronics Communication and Computers – JEC-ECC (2013-19)
CONFERENCE AND SYMPOSIUM ORGANIZER
• Program Chair, 25th IEEE Inter. Conf. on Parallel, Distributed, and Network-Based Processing – Russia, 2017. (Euromicro)
• Program Chair, 11th IEEE Symp. on Reconfigurable Communication-centric SoC – ReCoSoC-16, Tallinn, Estonia, 2016.
• General Chair, 24th IEEE Inter. Conf. on Parallel, Distributed, and Network-Based Processing – Greece, 2016. (Euromicro)
• General Chair, 23rd IEEE Inter. Conf. on Parallel, Distributed, and Network-Based Processing – Finland, 2015. (Euromicro)
PUBLIC EXAMINER/OPPONENT:
• Opponent on the PhD thesis “Dependability Improvement of NoC-based Systems”, Behrad Niazmand, Tallinn University of Technology, 2018.
• Opponent on the PhD thesis “Adaptive Routing Methods for On-Chip Interconnection Networks”, Poona Bahrebar, Gent University, 2017.
• Grading committee on the PhD thesis “Flexible Electrical and Photoelectrical Artificial Synapses for Neuromorphic Systems”, Kunlong Yang, KTH, 2018.
MANAGEMENT COMMITTEE:
• Euromicro board of director, since 2016
• EU COST Action 1202: Timing Analysis on Code-Level (TACLe), since 2014.
• EU COST Action 1401: Memristors-Devices, Models, Circuits, Systems and Applications, since 2015.
INVITED TALKS:
• Newcastle University, UK, 2014, Low power computing paradigm.
• University of Twente, Netherland, 2015, Spiking neural networks computing fabric
• University of Southampton, UK, 2015, Approximation computing
• University of Glasgow, UK, 2015, CGRA - A New Paradigm for Reconfigurable Computing.
• Aarhus University, Denmark, 2015, Towards energy efficient computing
• University of Tehran, Iran, 2018, Deep Learning Optimization
• Automation Region, Sweden, 2018, Deep learning for image processing

RESEARCH VISITS:
• University of California-Irvine (UCI), USA, Oct. 2015.
• Washington State University (WSN), USA, Oct. 2014.
• Massachusetts Institute of Technology (MIT), USA, Sept. 2014.
• Guangzhou Institute of Advanced Technology (GIAT), China, Aug. 2014.
• University of Electronic Science and Technology of China (UESTC), China, March 2013.
• Chinese University of Hong Kong (CUHK), Hong Kong, Oct. 2011.
• Tallinn University of Technology (TUT), Estonia, June 2011.
• Royal Institute of Technology (KTH), Sweden, Feb. 2010.

Juhendatud järeldoktorid

  • 01.02.2019−01.02.2021 Sima Sinaie "Deep learning accelerators" Mälardalen University

Publikatsioonid

Klass
Aasta
Publikatsioon
 
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28.03.2021

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  • Found 161 results
PublicationAuthorsYearEdition titleClassificationFileR&D institutions
A review on deep learning methods for ECG arrhythmia classificationEbrahimi, Z.; Loni, M.; Daneshtalab, M.; Gharehbaghi, A.2020Expert Systems with Applications X1.1.
A software implemented comprehensive soft error detection method for embedded systemsAsghari, S.A.; Binesh Marvasti, M.; Daneshtalab, M.2020Microprocessors and Microsystems1.1.
Challenges in using neural networks in safety-critical applicationsForsberg, H.; Linden, J.; Hjorth, J.; Manefjord, T.; Daneshtalab, M.2020AIAA/IEEE Digital Avionics Systems Conference - Proceedings1.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2020ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings1.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systemsLoni, M.; Sinaei, S.; Zoljodi, A.; Daneshtalab, M.; Sjödin, M.2020Microprocessors and Microsystems1.1.
Improving motion safety and efficiency of intelligent autonomous swarm of dronesMajd, A.; Loni, M.; Sahebi, G.; Daneshtalab, M.2020Drones1.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
Multi-level Binarized LSTM in EEG Classification for Wearable DevicesNazari, N.; Mirsalari, S.A.; Sinaei, S.; Salehi, M.E.; Daneshtalab, M.2020Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 20201.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
NoM: Network-on-Memory for Inter-Bank Data Transfer in Highly-Banked MemoriesRezaei, S.H.S.A.; Modarressi, M.; Ausavarungnirun, R.; Sadrosadati, M.; Mutlu, O.; Daneshtalab, M.2020IEEE Computer Architecture Letters1.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
Preface from General Co-Chairs: PDP 2020Daneshtalab, M.; Francesco, L.; Sjodin, M.2020Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 20201.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
Scalable parallel genetic algorithm for solving large integer linear programming models derived from behavioral synthesisFallah, M.K.; Mirhosseini, M.; Fazlali, M.; Daneshtalab, M.2020Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 20201.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
SHiLA: Synthesizing High-Level Assertions for High-Speed Validation of High-Level DesignsRiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2020Proceedings - 2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 20201.1.
ΔNN: Power-efficient neural network acceleration using differential weightsMahdiani, H.; Khadem, A.; Ghanbari, A.; Modarressi, M.; Fattahi-Bayat, F.; Daneshtalab, M.2020IEEE Micro1.1.
DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural ArchitectureLoni, Mohammad; Zoljodi, Ali; Maier, Daniel; Majd, Amin; Daneshtalab, Masoud; Sjödin, , Mikael; Juurlink, Ben H. H.; Akbari, Reza;20205.2.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
A Cloud based super-optimization method to parallelize the sequential code's nested loopsMajd, A.; Loni, M.; Sahebi, G.; Daneshtalab, M.; Troubitsyna, E.2019Proceedings - 2019 IEEE 13th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 20191.1.
A qualitative comparison model for application layer IoT protocolsKakakhel, S.R.U.; Westerlund, T.; Daneshtalab, M.; Zou, Z.; Plosila, J.; Tenhunen, H.20192019 4th International Conference on Fog and Mobile Edge Computing, FMEC 20191.1.
An energy-efficient partition-based XYZ-planar routing algorithm for a wireless network-on-chipYazdanpanah, Fahimeh; AfsharMazayejani, Raheel; Alaei, Mohammad; Rezaei, Amin; Daneshtalab, Masoud2019The Journal of Supercomputing1.1.
AutoRIO: An indoor testbed for developing autonomous vehiclesLoni, M.; Daneshtalab, M.; Sjodin, M.; Hamouachy, F.; Casarrubios, C.20192018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 20181.1.
Defender: A Low Overhead and Efficient Fault-Tolerant Mechanism for Reliable on-Chip RouterBaloch, N.K.; Baig, M.I.; Daneshtalab, M.2019IEEE Access1.1.
Design challenges in hardware development of time-sensitive networking: A research planGhaderi, A.; Daneshtalab, M.; Ashjaei, M.; Loni, M.; Mubeen, S.; Sjödin, M.2019CEUR Workshop Proceedings1.1.
Multi-objective optimization of real-time task scheduling problem for distributed environmentsSalimi, M.; Majd, A.; Loni, M.; Seceleanu, T.; Seceleanu, C.; Sirjani, M.; Daneshtalab, M.; Troubitsyna, E.2019ACM International Conference Proceeding Series1.1.
NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded SystemsLoni, M.; Zoljodi, A.; Sinaei, S.; Daneshtalab, M.; Sjödin, M.2019Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)1.1.
Sofa: A spark-oriented fog architectureMaleki, N.; Loni, M.; Daneshtalab, M.; Conti, M.; Fotouhi, H.2019IECON Proceedings (Industrial Electronics Conference)1.1.Tallinn University of Technology , School of Information Technologies, Department of Computer Systems
TOT-Net: An Endeavor Toward Optimizing Ternary Neural NetworksNazari, N.; Loni, M.; Salehi, M.E.; Daneshtalab, M.; Sjodin, M.2019Proceedings - Euromicro Conference on Digital System Design, DSD 20191.1.
A General Methodology on Designing Acyclic Channel Dependency Graphs in Interconnection NetworksEbrahimi, Masoumeh; Daneshtalab, Masoud2018IEEE Micro1.1.
Integrating Learning, Optimization, and Prediction for Efficient Navigation of Swarms of DronesMajd, Amin; Ashraf, Adnan; Troubitsyna, Elena; Daneshtalab, Masoud20182018 26th Euromicro International Conference On Parallel, Distributed, and Network-based Processing (pdp 2018)1.1.