Behnaam Aazhang

About

Behnaam Aazhang is the J.S. Abercrombie Professor at Rice University and serves as the Director of the Rice NeuroEngineering Initiative. He leads the Aazhang Group, which includes graduate students, professional master's students, undergraduate research assistants, former PhD students, postdoctoral researchers, and visiting scholars. His role as Principal Investigator highlights his leadership in advancing neuroengineering research at Rice University. The group is involved in interdisciplinary research, as indicated by the diverse affiliations and career paths of his former students and collaborators, spanning academia, industry, and research institutions worldwide.

Research topics

• Computer Science
• Medicine
• Neuroscience
• Artificial Intelligence
• Machine Learning
• Psychology
• Embedded system
• Computer hardware
• Human–computer interaction
• Biology

Selected publications

• Recent Advances in Electrical Neural Interface Engineering: Minimal Invasiveness, Longevity, and Scalability

  Neuron · 2020 · 141 citations

  DOI

• Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries

  Journal of Neural Engineering · 2021 · 42 citations

  mTBIs have insufficient sensitivity and specificity. This results in uncertainty in clinical decision-making regarding diagnosis and returning to activity or requiring further medical treatment. Therefore, it is important to identify relevant physiological biomarkers that can be integrated into a mutually complementary set and provide a combination of data modalities for improved on-site diagnostic sensitivity of mTBI. In recent years, the processing power, signal fidelity, and the number of rec…

  DOI

• Visuo-frontal interactions during social learning in freely moving macaques

  Nature · 2024-02-14 · 30 citations

  articleOpen access

  . However, despite the general acceptance of this view, how visual information is used to guide the decision to cooperate is unknown. Here, we wirelessly recorded the spiking activity of populations of neurons in the visual and prefrontal cortex in conjunction with wireless recordings of oculomotor events while freely moving macaques engaged in social cooperation. As animals learned to cooperate, visual and executive areas refined the representation of social variables, such as the conspecific o…

  PublisherDOI

• Sub-scalp electroencephalography: A next-generation technique to study human neurophysiology

  Clinical Neurophysiology · 2022 · 28 citations

  , Soenia® UltimateEEG™), bilateral recordings (Minder™, Epios™), and even those with responsive stimulation capability (EASEE®). We synthesize the current knowledge of these ssEEG systems. We review the (1) ssEEG devices, (2) use case scenarios, (3) challenges and (4) suggest a roadmap for ideal ssEEG designs.

  DOI

• A graph-based cardiac arrhythmia classification methodology using one-lead ECG recordings

  Intelligent Systems with Applications · 2024-05-05 · 9 citations

  articleOpen accessSenior author

  In this study, we present a novel graph-based methodology for an accurate classification of cardiac arrhythmia diseases using a single-lead electrocardiogram (ECG). The proposed approach employs the visibility graph technique to generate graphs from time signals. Subsequently, informative features are extracted from each graph and then fed into classifiers to match the input ECG signal with the appropriate target arrhythmia class. The six target classes in this study are normal (N), left bundle…

  PublisherDOI

Recent grants

• Large-scale recording of population activity during social cognition in freely moving non-human primates

  NIH · $592k · 2018–2021

• Large-scale recording of population activity during social cognition in freely moving non-human primates

  NIH · $1.2M · 2018–2023

• NeTS: Small: Collaborative Research: A Service Centric Architecture for Efficient Spectral Utilization in Wireless Networks

  NSF · $250k · 2015–2018

Frequent coauthors

• Ashutosh Sabharwal

  Rice University

  66 shared

• J. Lilleberg

  Rice University

  42 shared

• Joseph R. Cavallaro

  Rice University

  33 shared

• Matthew Nokleby

  28 shared

• Brett A. Kaufman

  University of Pittsburgh

  24 shared

• Elza Erkip

  23 shared

• Romain Cosentino

  17 shared

• Mehdi Razavi

  University of Central Florida

  16 shared

Labs

• Aazhang GroupPI

Education

• Ph.D., Electrical and Computer Engineering

  University of Illinois at Urbana Champaign

  1986

Awards & honors

• Rice Outstanding Doctoral Thesis Advisor Award (2022)
• SIGMOBILE Test of Time (ToT) Award (2019)
• Honorary Doctorate, University of Oulu (2017)
• IEEE Communication Society Award for Advances in Communicati…
• Fellow, American Association for Advancement of Science (AAA…

Similar researchers at Rice University

• Alessandro Alabastrih-34
• John Alfordh-30
• David Alexanderh-22