# Dejan Markovic

PROFESSOR/AREA DIRECTOR FOR CIRCUITS AND EMBEDDED SYSTEMS
ELECTRICAL AND COMPUTER ENGINEERING
BIOENGINEERING

Mukund Padmanabhan Term Chair in Electrical Engineering

56-147E Engr. IV

Email: dejan@ucla.edu
Phone: (310) 825-8656
Fax:

Websites

- DMGroup

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Dejan Marković is a Professor of Electrical and Computer Engineering at the University of California, Los Angeles (UCLA). He completed the Ph.D. degree in 2006 at the University of California, Berkeley, for which he was awarded 2007 David J. Sakrison Memorial Prize. His current research is focused on implantable neuromodulation systems, domain-specific compute architectures, and design methodologies. Dr. Marković co-founded Flex Logix Technologies, a semiconductor IP startup, in 2014. He received an NSF CAREER Award in 2009. In 2010, he was a co-recipient of ISSCC Jack Raper Award for Outstanding Technology Directions. He also received 2014 ISSCC Lewis Winner Award for Outstanding Paper.

##### RESEARCH AND INTERESTS

- Implantable neuromodulation systems
- Domain-specific compute architectures
- Design methodologies

##### NOTABLE PUBLICATIONS

- D. Rozgić, et al., "A 0.338cm3, Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing," IEEE Trans. Biomedical Circuits and Systems, vol. 13, no. 1, pp. 38-55, Jan. 2019.
- H. Chandrakumar, D. Marković, “A 15.2-ENOB 5kHz-BW 4.5µW Chopped CT ΔΣ-ADC for Artifact-Tolerant Neural Recording Front-Ends,” IEEE Journal of Solid-State Circuits, vol. 53, no. 12, pp. 3470-3483, Nov. 2018.
- W. Jiang, V. Hokhikyan, H. Chandrakumar, V. Karkare, D. Marković, "A ±50-mV Linear-Input-Range VCO-Based Neural-Recording Front-End With Digital Nonlinearity Correction," IEEE Journal of Solid-State Circuits, vol. 52, no. 1, pp. 173-184, Jan. 2017.
- R. Dorrance and D. Marković, "A 190GFLOPS/W DSP for Energy‐Efficient Sparse‐BLAS in Embedded IoT," in Proc. IEEE Symp. VLSI Circuits (VLSI'16), June 2016.
- F. Ren and D. Marković, “A Configurable 12-to-237kS/s 12.8mW Sparse-Approximation Engine for Mobile Data Aggregation of Compressively-Sampled Physiological Signals,” IEEE J. Solid-State Circuits, vol. 51, no. 1, pp. 68-78, Jan. 2016.
- D. Rozgić and D. Marković, "A 0.78mW/cm2 Autonomous Thermoelectric Energy-Harvester for Biomedical Applications," in Proc. IEEE Symp. on VLSI Circuits (VLSI'15), June 2015, pp. 278-279.
- F-L Yuan, C.C. Wang, T-H Yu, D. Marković, “A Multi-Granularity FPGA with Hierarchical Interconnects for Efficient and Flexible Mobile Computing,” IEEE J. Solid-State Circuits, vol. 50, no. 1, pp. 137-149, Jan. 2015.
- V. Karkare, S. Gibson, and D. Marković, "A 75 µW, 16-channel Neural Spike Sorting Processor with Unsupervised Clustering," IEEE J. Solid-State Circuits, vol. 48, no. 9, pp. 2230-2238, Sep. 2013.
- C.-H. Yang, T.-H. Yu, D. Marković, "A 5.8mW 3GPP-LTE Compliant 8×8 MIMO Sphere Decoder Chip with Soft-Outputs," in Proc. Int. Symp. VLSI Circuits (VLSI), June 2010, pp. 209-210.

##### IN THE NEWS

- Anari AI Raises $2M to Rebuild the AI Hardware Industry Through Personalized Cloud Chips | SemiConductor Digest, April 2021
- Cerebral connections: UCLA engineers tap into rich legacy of brain-computer interface technology | UCLA Samueli Newsroom, April 2019

##### EDUCATION

- PhD, UC Berkeley (2006)
- MS, US Berkeley (2000)
- BS, University of Belgrade, Serbia (1998)

##### AWARDS AND RECOGNITION

- IEEE Fellow (Class of 2021)
- 2014, 2014 ISSCC Lewis Award for Outstanding Paper
- 2011, Associate Editor, IEEE Journal of Solid-State Circuits
- 2010, ISSCC Jack Raper Award for Outstanding Technology Directions (link)
- 2010, DAC/ISSCC Student Design Contest Winner
- 2009, NSF CAREER Award
- 2007, UC Berkeley David J. Sakrison Memorial Prize
- 2004, IEEE ISQED Best Paper Award (link)
- 2002, UC Berkeley CalVIEW CITRIS Award for excellence in distance education
- 2001, UC Berkeley CalVIEW Fellow Award for excellence in distance education

##### COURSES

- ECE 115C, Digital Integrated Circuits
- ECE M216A, Design of VLSI Circuits and Systems
- ECE 216B, VLSI Signal Processing
- BME M260, Neuroengineering