PhD Researcher
Javier Acevedo (Student Member, IEEE). He is currently a Scientific Staff and working toward the Ph.D. degree with the Telekom Chair of Communication Networks, Technische Universität Dresden. His particular focus is in the design and implementation of hardware accelerators for low-latency applications applied to the Tactile Internet and RAN.
Phone: +49 351 463-32234 Email: javier.acevedo@tu-dresden.de
Communication Networks 2 – Software Defined Radios 2020. Theoretical and practical tutorials.
Problem-based Learning 2022.
I’ve had the pleasure to work with the following students during my stay at ComNets:
Problem-based Learning – Yixin Yuan
Studienarbeit Elektrotechnik – Florian Grabs
Acevedo, Javier; Scheffel, Robert; Wunderlich, Simon; Hasler, Mattis; Pandi, Sreekrishna; Cabrera, Juan A.; Fitzek, Frank H. P.; Fettweis, Gerhard P.; Reisslein, Martin
Hardware Acceleration for RLNC: A Case Study Based on the Xtensa Processor with Tensilica Instruction-set Extension Journal Article
In: MDPI Electronics, 2018, ISSN: 2079-9292.
BibTeX
@article{Acevedo181, title = {Hardware Acceleration for RLNC: A Case Study Based on the Xtensa Processor with Tensilica Instruction-set Extension}, author = {Javier {Acevedo} and Robert {Scheffel} and Simon {Wunderlich} and Mattis {Hasler} and Sreekrishna {Pandi} and Juan A. {Cabrera} and Frank H. P. {Fitzek} and Gerhard P. {Fettweis} and Martin {Reisslein}}, issn = {2079-9292}, year = {2018}, date = {2018-09-06}, urldate = {2018-09-06}, journal = {MDPI Electronics}, keywords = {}, pubstate = {published}, tppubtype = {article} }
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