Current Members

PI

DSC_0023_2Prof. Lara Dolecek

For the professional biosketch see HERE.

 

 

 

In her off hours, Lara is usually running after her kids.

 


Current visitors

  • Prof. Laura Conde-Canencia

laura-pro    Dr. Laura Conde-Canencia received Engg. Degree from Universidad Politécnica de Madrid, Spain, in 2000, and Ph.D. from Telecom Bretagne, France, in 2004. Her PhD thesis dealt with spectral-efficiency maximization in high-performance digital communication systems. Particularly, she investigated the association of high-rate m-binary turbo-codes to high-order modulation schemes and analyzed performance estimation of bit-interleaved turbo-coded modulation. In 2004, she joined Universidad San Pablo-CEU, in Madrid (Spain), as an Assistant Professor in Telecommunication Engineering. Since 2006, she is with the Lab-STICC Laboratory in Université de Bretagne Sud (UBS), France, where she is currently an Associate Professor. She is a member of the Scientific Advisory Board of UBS and a member of the International Relations Advisory Board where she helps in developing strategies for the internationalization of UBS. She has worked on PN sequence synchronization for Global Navigation Satellite System (GNSS) receivers with funding from the European GNSS Supervisory Authority. Since 2008, her research has mainly focused on error correcting codes for digital communications: Turbo-codes, binary and non-binary LDPC codes and Cortex codes. From 2013 she has extended her research topics to neural coding and neuromorphic design. She has published over thirty papers and holds three patents on NB-LDPC decoding. Her team received financial support from France Brevets, a French national investment fund dedicated to international patent development and licensing. Since 2014, she holds the scientific excellence fellowship (French national PES) and since 2016 she is an elected member in the “Design and Implementation of Signal Processing Systems” Technical Committee (IEEE Signal Processing Society). In 2017-2018, she was a Fulbright Visiting Research Scholar in the Laboratory for Robust Information Systems(LORIS) at University of California Los Angeles (UCLA). During this year she was co-funded by the European Union with a PRESTIGE grant award or Marie Curie Fellowship.

  • Mahed Abroshan. Graduate student visitor from Cambridge University, UK.

Current post-doctoral researchers

  • None.

Current graduate students

  • Zehui (Alex) Chen (PhD)

alex-photoZehui (Alex) Chen is a Ph.D. student in the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA). He received his M.S. degrees in Electrical Engineering from UCLA in 2018. He received his B.S. degree in Electrical Engineering from Purdue University, West Lafayette in 2016. He is currently a graduate student researcher in the Laboratory for Robust Information Systems (LORIS) at UCLA. His research interests include coding theory, information theory and their applications in new memory media.

Alex’s hobbies include playing violin, playing badminton, and trying out different foods.

 


  • Homa Esfahanizadeh( PhD)

 

homa1Homa Esfahanizadeh is a PhD student in Electrical Engineering Department at the University of California, Los Angeles (UCLA). She received her M.S. and B.S. degrees from the University of Tehran in 2015 and 2012, respectively. Currently, she works at the Laboratory for Robust Information Systems (LORIS), and her focus is on coding schemes for modern storage systems. Her research interests include coding theory, signal processing, and graph theory.

Homa received a departmental fellowship from UCLA at 2015 for her outstanding academic achievements. She was also among the top 10 percent of students who graduated from University of Tehran in 2012.


  • Ahmed Hareedy (PhD)

ahmed2Ahmed Hareedy is a Ph.D. candidate in the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA). He received his B.S. and M.S. degrees in Electronics and Communications Engineering from Cairo University in 2006 and 2011, respectively.

Ahmed has industry experience as he worked with Mentor Graphics Corporation between 2006 and 2014. He worked as an error correcting codes architect with Intel Corporation in the summer of 2015 and the summer of 2017. Ahmed’s B.S. group graduation project won the first prize at the IEEE Egyptian Engineering Day (EED), 2006. He is a recipient of the Best Paper Award from the IEEE Global Communications Conference (GLOBECOM), 2015 (Selected Areas in Communications, Data Storage Track). In 2017, he won the prestigious 2017-2018 Dissertation Year Fellowship (DYF) at UCLA. In the same year, he won the 2016-2017 Electrical Engineering Henry Samueli Excellence in Teaching Award for teaching Probability and Statistics (131A) at UCLA. He is a recipient of the Memorable Paper Award from the Non-Volatile Memories Workshop (NVMW), 2018, in the area of devices, coding, and information theory.
His research interests are in broadly applying coding/information theoretic concepts and techniques to solve problems associated with modern practical systems, e.g., data-hungry systems. The techniques he develops use tools from combinatorics, graph theory, linear algebra, algorithms, probability theory, statistics, abstract algebra, and optimization.
Ahmed’s hobbies include writing Arabic poems, reading in different fields, Arabic and English calligraphy, and practicing/watching sports.

  • Lev Tauz (MS/PhD)
profile_picLev Tauz is a M.S./PhD student in the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA). He received his B.S. in Electrical Engineering and Computer Science from the University of California, Berkeley. He was a machine learning researcher at the Lawrence Berkeley National Laboratory from August 2013 to August 2014 . He also has industry experience as a data scientist working in Ericsson from Nov. 2016 to June 2017.
Lev’s research interests includes coding techniques for distributed computations and utilization of error-correcting codes in machine learning applications.

  • Ruiyi Wu (MS)

IMG_20180310_181644Ruiyi Wu is a M.S. student in Electrical and Computer Engineering at the University of California, Los Angeles (UCLA). He received his B.S. degree in Electrical and Computer Engineering from UCLA in 2017. His research interests include information theory, coding theory, and graph-based coding techniques for modern storage systems.Ruiyi was on the Dean’s Honors List in 2015-2016 and 2016-2017 for his outstanding academic performance. He was a member of IEEE and HKN honor society at UCLA. Ruiyi joined the Laboratory for Robust Information Systems (LORIS) in 2016 and started to work on graph-based codes.

 

In his spare time, Ruiyi enjoys snowboarding, going to gym, and hanging out with friends.


 

  • Siyi (Prisca) Yang (PhD)

IMG_1188

Siyi Yang is a Ph.D. student in the Electrical and Computer Engineering department at the University of California, Los Angeles (UCLA). She received her B.S. degree in Electrical Engineering from the Tsinghua University, in 2016 and the M.S. degree in Electrical and Computer Engineering from the University of California, Los Angeles (UCLA) in 2018. Her research interests include design of error-correction codes for Non-Volatile Memory and DNA storage, combinatorics, and algebra.

In her spare time, Siyi enjoys reading in various fields and watching Japanese anime.

 


Current undergraduate students

  • none.