World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
6998
World Ranking
4291
National Ranking
1526

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to low-power VLSI signal processing and neurotechnology

Overview

Dejan Markovic is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple domains within computer science and engineering, with significant emphasis on signal processing and biomedical engineering. Markovic's work frequently intersects with topics such as speech and audio processing, wireless power transfer systems, and neurological disorders and treatments.

The scientist has contributed to numerous publications in both journals and conferences. Their recent papers include the following:

  • A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely moving humans, 2023, published in Nature Neuroscience
  • A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely-moving humans, 2022, published in bioRxiv (Cold Spring Harbor Laboratory)
  • Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis, 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Future directions in psychiatric neurosurgery: Proceedings of the 2022 American Society for Stereotactic and Functional Neurosurgery meeting on surgical neuromodulation for psychiatric disorders, 2023, published in Brain Stimulation
  • Analysis and Design of a Robust, Low-Power, Inductively Coupled LSK Data Link, 2020, published in IEEE Journal of Solid-State Circuits

Markovic frequently collaborates with a range of co-authors, including:

  • Alexander Richard (7 collaborations)
  • Steven Krenn (6 collaborations)
  • Israel D. Gebru (4 collaborations)
  • Alexander Richard (4 collaborations)
  • Nader Pouratian (3 collaborations)

Publication venues showcasing Markovic's research reflect multidisciplinary interests. These include:

  • arXiv (Cornell University) with 10 publications
  • Interspeech 2022 with 2 publications
  • IEEE Journal of Solid-State Circuits with 2 publications
  • Annals of Biomedical Engineering with 2 publications
  • Nature Neuroscience with 1 publication

The scientist's primary fields of study are computer science and engineering, with a particular focus on several subfields:

  • Signal Processing
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Hardware and Architecture
  • Neurology

Main research topics associated with their work include:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Energy Harvesting in Wireless Networks
  • Wireless Power Transfer Systems
  • Neurological Disorders and Treatments
  • Neuroscience and Neural Engineering
  • Wireless Body Area Networks

Markovic received the IEEE Fellow award in 2021 for contributions to low-power VLSI signal processing and neurotechnology.

Best Publications

  • Ultralow-Power Design in Near-Threshold Region

    D. Markovic;C.C. Wang;L.P. Alarcon;Tsung-Te Liu

  • SRAM leakage suppression by minimizing standby supply voltage

    Hulfang Qin;Yu Cao;D. Markovic;A. Vladimirescu

  • Methods for true energy-performance optimization

    D. Markovic;V. Stojanovic;B. Nikolic;M.A. Horowitz

  • Digital System Clocking: High-Performance and Low-Power Aspects

    Vojin G. Oklobdzija;Vladimir M. Stojanovic;Dejan M. Markovic;Nikola M. Nedovic

  • Spike Sorting: The First Step in Decoding the Brain: The first step in decoding the brain

    S. Gibson;J. W. Judy;D. Markovic

  • Digital PWM control: application in voltage regulation modules

    A.M. Wu;Jinwen Xiao;D. Markovic;S.R. Sanders

  • Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications

    M Spencer;F Chen;Cheng C Wang;R Nathanael

  • A High Dynamic-Range Neural Recording Chopper Amplifier for Simultaneous Neural Recording and Stimulation

    Hariprasad Chandrakumar;Dejan Markovic

  • Analysis and design of low-energy flip-flops

    Dejan Markovic;Borivoje Nikolic;Robert Brodersen

  • Integrated circuit design with NEM relays

    Fred Chen;Hei Kam;Dejan Markovic;Tsu-Jae King Liu

  • An 80-mVpp Linear-Input Range, 1.6- $ ext{G}\Omega $ Input Impedance, Low-Power Chopper Amplifier for Closed-Loop Neural Recording That Is Tolerant to 650-mVpp Common-Mode Interference

    Hariprasad Chandrakumar;Dejan Markovic

  • Power and Area Minimization of Reconfigurable FFT Processors: A 3GPP-LTE Example

    Chia-Hsiang Yang;Tsung-Han Yu;D. Markovic

  • Comparison of spike-sorting algorithms for future hardware implementation

    Sarah Gibson;Jack W. Judy;Dejan Markovic

  • A ±50-mV Linear-Input-Range VCO-Based Neural-Recording Front-End With Digital Nonlinearity Correction

    Wenlong Jiang;Vahagn Hokhikyan;Hariprasad Chandrakumar;Vaibhav Karkare

  • Methods for true power minimization

    Robert W. Brodersen;Mark A. Horowitz;Dejan Markovic;Borivoje Nikolic

  • A 75-µW, 16-Channel Neural Spike-Sorting Processor With Unsupervised Clustering

    Vaibhav Karkare;Sarah Gibson;Dejan Markovic

  • A design environment for high throughput, low power dedicated signal processing systems

    W.R. Davis;N. Zhang;K. Camera;D. Markovic

  • Design, Optimization, and Scaling of MEM Relays for Ultra-Low-Power Digital Logic

    Hei Kam;Tsu-Jae King Liu;V Stojanović;D Marković

  • Voltage-induced switching of nanoscale magnetic tunnel junctions

    J. G. Alzate;P. Khalili Amiri;P. Upadhyaya;S. S. Cherepov

  • A 130- $\mu$ W, 64-Channel Neural Spike-Sorting DSP Chip

    V Karkare;S Gibson;Dejan Marković

  • A 15.2-ENOB 5-kHz BW 4.5- $\mu$ W Chopped CT $\Delta\Sigma$ -ADC for Artifact-Tolerant Neural Recording Front Ends

    Hariprasad Chandrakumar;Dejan Markovic

Frequent Co-Authors

Robert W. Brodersen
Robert W. Brodersen University of California, Berkeley
Vladimir Stojanovic
Vladimir Stojanovic University of California, Berkeley
Borivoje Nikolic
Borivoje Nikolic University of California, Berkeley
Marina Soković
Marina Soković University of Belgrade
Vojin G. Oklobdzija
Vojin G. Oklobdzija University of California, Davis
Elad Alon
Elad Alon University of California, Berkeley
Asad A. Abidi
Asad A. Abidi University of California, Los Angeles
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Mark Horowitz
Mark Horowitz Stanford University
Kang L. Wang
Kang L. Wang University of California, Los Angeles

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