Masoud Daneshtalab (http://www.idt.mdh.se/~md/) is currently a tenured associate professor at Mälardalen University (MDH) and a researcher visitor at Royal Institute of Technology (KTH) in Sweden. He joined KTH as European Marie Curie Fellow in 2014. Before that, he was a university lecturer and group leader at University of Turku in Finland from 2012-2014. He has been appointed as Associate Editors of Elsevier Journals of Computers & Electrical Engineering (CAEE) and Microprocessors and Microsystems (MICPRO) along with World Research Journal of Computer Architecture (JCA); and in the Editorial Board of The Scientific World Journal, International Journal of Distributed Systems and Technologies (IJDST), International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), International Journal of Embedded and Real-Time Communication Systems (IJERTCS), and International Journal of Design, Analysis and Tools for Integrated Circuits and Systems (IJDATICS). He has also served as a Guest Editor for several prestige Journals, like Springer Computing, IET CDT, ACM TECS, ACM JETC, Elseviers’ JSA, MICPRO, Integration, and CEE. He is also the key organizer of SIGMARC ACM/IEEE International workshop Network-on-Chip Architectures (NoCArc / 8 editions) and ACM International workshop on Many-core Embedded Systems (MES / 4 editions). He has represented Sweden in the management committee of the EU COST Actions IC1202: Timing Analysis on Code-Level (TACLe). Since 2016 he is in Eurimicro board of Director and a member of the HiPEAC network. His research interests include on/off-chip interconnection networks, hardware/software co-design, reconfigurable computing, neuromorphic architectures, and evolutionary multi-objective optimization. He has published 1 book, 4 book chapters, and over 180 refereed international journals and conference papers within H-index 24. He is currently in a Technical Program Committee member of different IEEE and ACM conferences, including NOCS, DATE, ASPDAC, ICCAD, ESTIMedia, VLSI Design, ICA3PP, SOCC, VDAT, DSD, PDP, ICESS, Norchip, MCSoC, CADS, EUC, DTIS, NESEA, CASEMANS, NoCArc, MES, HPIN, PACBB, MobileHealth, and JEC-ECC.
He has co-leaded several research projects (AMEBA, AGENT, ERoT, CRS, MANAGE, CUBRIC, and µBrain) funded by different resources like Academy of Finland, Kaute Foundation, VINNOVA (The Swedish Governmental Agency for Innovation Systems), and EU.
ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems (Aug 2018) Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin 21st Euromicro Conference on Digital System Design (DSD'18)
Using Optimization, Learning, and Drone Reflexes to Maximize Safety of Swarms of Drones (Jul 2018) Amin Majd , Adnan Ashraf , Elena Troubitsyna , Masoud Daneshtalab IEEE Congress on Evolutionary Computation (IEEE CEC)
A Customized Processing-in-Memory Architecture for Biological Sequence Alignment (Jul 2018) Nasim Akbari , Mehdi Modarressi , Masoud Daneshtalab, Mohammad Loni IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP'18)
HoneyWiN: Novel Honeycomb-Based Wireless NoC Architecture in Many-Core Era (May 2018) Raheel Afsharmazayejani , Fahimeh Yazdanpanah , Masoud Daneshtalab International Symposium on Applied Reconfigurable Computing (ARC)
Embedded Acceleration of Image Classification Applications for Stereo Vision Systems (Mar 2018) Mohammad Loni, Carl Ahlberg, Masoud Daneshtalab, Mikael Ekström, Mikael Sjödin Design, Automation & Test in Europe Conference & Exhibition (DATE'18)
Integrating Learning, Optimization, and Prediction for Efficient Navigation of Swarms of Drones (Mar 2018) Amin Majd , Adnan Ashraf , Elena Troubitsyna , Masoud Daneshtalab 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'18)
|AVANS - civilingenjörsprogrammet i tillförlitliga flyg- och rymdsystem||active|
|DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices||active|
|DPAC - Dependable Platforms for Autonomous systems and Control||active|
|FAST-ARTS: Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems||active|
Amin Majd (former)
|OBJECT RECOGNITION THROUGH DEEP CONVOLUTIONAL LEARNING FOR FPGA||finished|