Nikil Dutt

Distinguished Professor

University of California, Irvine

United States

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Nikil Dutt is a Distinguished Professor at the University of California Irvine, USA. His research interests encompass adaptive systems, machine learning, and resource management in autonomous technologies. Recent articles include work on intelligent SLAM systems, mobile interventions for loneliness, and efficient neural network inference.

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Collaborators (12)

cristiana bolchini

Full Professor

Politecnico di Milano

ITALY

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Pasi Liljeberg

University of Turku

FINLAND

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Jong-Chan Kim

Kookmin University

SOUTH KOREA

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Pramod P. Khargonekar

UNITED STATES

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Fatemeh Sarhaddi

University of Turku

FINLAND

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Ramesh Jain

Professor

University of California, Irvine

UNITED STATES

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Anup Das

Assistant Professor

Drexel University

UNITED STATES

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Caio Batista de Melo

Assistant Teaching Professor

North Carolina State University

UNITED STATES

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Sanna Salanterä

Professor, Department of Nursing Science

University of Turku

FINLAND

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Adeline Nyamathi

Distinguished Professor

University of California, Irvine

UNITED STATES

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Jessica L. Borelli

University of California

UNITED STATES

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Sarah Rodrigues

University of California, Irvine

UNITED STATES

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Nikil Dutt

Research Interests

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About

Articles (25)

Exploiting Approximation for Run-time Resource Management of Embedded HMPs

OASIS: Optimized Adaptive System for Intelligent SLAM

Feasibility, Acceptability, and Preliminary Outcomes of a Mobile Adaptation of a Relational Savoring Intervention to Prevent Loneliness in College Students: Mixed Methods Pilot Study

Runtime Adaptivity for Efficient Neural Network Inference on Autonomous Systems

Corrections to “FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement”

Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach

SAFER: Safety Assurances for Emergent Behavior

ZoneTrace: Zone Monitoring Tool for F2FS on ZNS SSDs

FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement

MUSIC-Lite: Efficient MUSIC Using Approximate Computing: An OFDM Radar Case Study

PERFECT: Personalized Exercise Recommendation Framework and architECTure

MemScape: Sculpting Tiered Memory Management for Autonomous Vehicles

NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware

Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study

EASYR: E nergy-Efficient A daptive Sy stem R econfiguration for Dynamic Deadlines in Autonomous Driving on Multicore Processors

LOCoCAT: Low-Overhead Classification of CAN Bus Attack Types

A Deep Learning–based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability

DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference

Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware

Sleep Patterns and Affect Dynamics Among College Students During the COVID-19 Pandemic: Intensive Longitudinal Study

Digital Health–Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

Using Multimodal Assessments to Capture Personalized Contexts of College Student Well-being in 2020: Case Study

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

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study

Collaborators (12)

cristiana bolchini

Pasi Liljeberg

Jong-Chan Kim

Pramod P. Khargonekar

Fatemeh Sarhaddi

Ramesh Jain

Anup Das

Caio Batista de Melo

Sanna Salanterä

Adeline Nyamathi

Jessica L. Borelli

Sarah Rodrigues

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