Nikil Dutt

About

Nikil Dutt is a Chancellor’s Professor at the University of California, Irvine, with academic appointments in the departments of Computer Science, Electrical Engineering and Computer Science, and Cognitive Sciences. He is affiliated with multiple research centers at UCI, including the Center for Embedded Computer Systems, the Center for Cognitive Neuroscience and Engineering, the California Institute for Telecommunications and Information Technology, the Center for Pervasive Communications and Computing, and the Laboratory for Ubiquitous Computing and Interaction. His research interests encompass embedded systems, electronic design automation, computer architecture, optimizing compilers, system specification techniques, distributed systems, formal methods, and brain-inspired architectures and computing.

Research topics

• Medicine
• Computer Science
• Psychiatry
• Psychology
• Physical therapy
• Internal medicine
• Sociology
• Nursing
• Political Science
• Gerontology

Selected publications

• COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler Looking for Clarity in the Haze of the Pandemic

  Clinical Nursing Research · 2022 · 196 citations

  Post-acute sequelae of SARS-CoV-2 (PASC) is defined as persistent symptoms after apparent recovery from acute COVID-19 infection, also known as COVID-19 long-haul. We performed a retrospective review of electronic health records (EHR) from the University of California COvid Research Data Set (UC CORDS), a de-identified EHR of PCR-confirmed SARS-CoV-2-positive patients in California. The purposes were to (1) describe the prevalence of PASC, (2) describe COVID-19 symptoms and symptom clusters, and…

  DOI

• Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study

  JMIR mhealth and uhealth · 2020 · 163 citations

  BACKGROUND: Assessment of sleep quality is essential to address poor sleep quality and understand changes. Owing to the advances in the Internet of Things and wearable technologies, sleep monitoring under free-living conditions has become feasible and practicable. Smart rings and smartwatches can be employed to perform mid- or long-term home-based sleep monitoring. However, the validity of such wearables should be investigated in terms of sleep parameters. Sleep validation studies are mostly lim…

  DOI

• COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic

  medRxiv (Cold Spring Harbor Laboratory) · 2021 · 142 citations

  Emerging data suggest that the effects of infection with SARS-CoV-2 are far reaching extending beyond those with severe acute disease. Specifically, the presence of persistent symptoms after apparent resolution from COVID-19 have frequently been reported throughout the pandemic by individuals labeled as "long-haulers". The purpose of this study was to assess for symptoms at days 0-10 and 61+ among subjects with PCR-confirmed SARS-CoV-2 infection. The University of California COvid Research Data…

  DOI

• HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge

  2020 · 15 citations

  Senior authorCorresponding

  This paper explores the challenges of HCI work within multidisciplinary research projects across health sciences, social sciences, and engineering, through discussion of a specific case study research project focused on supporting under-resourced pregnant women. Capturing the perspectives of community-based health care workers (N=14) using wearable technology for servicing pregnant women provided insight into considerations for technology for this specific population. Methods of inquiry included…

  PublisherDOI

• A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study

  JMIR Formative Research · 2021 · 13 citations

  BACKGROUND: The physical and emotional well-being of women is critical for healthy pregnancy and birth outcomes. The Two Happy Hearts intervention is a personalized mind-body program coached by community health workers that includes monitoring and reflecting on personal health, as well as practicing stress management strategies such as mindful breathing and movement. OBJECTIVE: The aims of this study are to (1) test the daily use of a wearable device to objectively measure physical and emotional…

  PublisherOA PDFDOI

Recent grants

• Cross-Layer Error Exploitation for Next Generation SoCs

  NSF · $500k · 2007–2011

• WiFiUS: IoCT-CARE: Internet of Cognitive Things for Personalized Healthcare

  NSF · $300k · 2017–2020

• Collaborative Research: Platform-Based CAD for Power and Performance Optimization

  NSF · $96k · 2002–2006

Frequent coauthors

• Amir M. Rahmani

  116 shared

• Amir M. Rahmani

  Kurdistan University of Medical Sciences

  112 shared

• Fadi Kurdahi

  University of California, Irvine

  102 shared

• Alex Nicolau

  University of California, Irvine

  101 shared

• Sudeep Pasricha

  67 shared

• Prabhat Mishra

  55 shared

• Jun Yong Shin

  University of California, Irvine

  54 shared

• Sina Labbaf

  52 shared

Education

• Ph.D., Computer Science

  University of California, Los Angeles

  1993

• M.S., Computer Science

  University of California, Los Angeles

  1989

• B.S., Electrical Engineering

  University of California, Los Angeles

  1987

Awards & honors

• Best Paper Awards at CHDL’89, CHDL’91, VLSI Design 2003, COD…
• Best Paper Award Nominations at WASP 2004, DAC 2005, VLSI De…
• ACM SIGDA Distinguished Lecturer (2001-2002)
• IEEE Computer Society Distinguished Visitor (2003-2005)
• Fellow of the IEEE

Similar researchers at University of California, Irvine

• Pierre Baldih-121
• Gene Tsudikh-82
• Padhraic Smythh-78