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.
Parallel imperialist competitive algorithms (Jan 2018) Amin Majd , Golnaz Sahebi , Masoud Daneshtalab, Juha Plosila , Shahriar Lotfi , Hannu Tenhunen Journal of Concurrency and Computation: Practice and Experience (JCC)
Customizing Clos Network-on-Chip for Neural Networks (Nov 2017) Reza Hojabr , Mehdi Modarressi , Masoud Daneshtalab, Ali Yasoubi , Ahmad Khonsari IEEE Transaction on Computers (IEEE TC)
Optimal smart mobile access point placement for maximal coverage and minimal communication (Sep 2017) Amin Majd , Masoud Daneshtalab, Elena Troubitsyna European Conference on the Engineering of Computer-Based Systems (ECBS)
Safety-Aware Control of Swarms of Drones (Sep 2017) Amin Majd , Elena Troubitsyna , Masoud Daneshtalab 36th International Conference on Computer Safety, Reliability and Security (SAFECOMP-2017)
CAP-W: Congestion-aware platform for wireless-based network-on-chip in many-core era (Jun 2017) Amin Rezaei , Masoud Daneshtalab, Danella Zhao Elsevier journal of Microprocessors and Microsystems (MICPRO)
EbDa: A New Theory on Design and Verification of Deadlock-free Interconnection Networks (Jun 2017) Masoumeh Ebrahimi , Masoud Daneshtalab International Symposium on Computer Architecture (ISCA)
|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|