Marcus Wu

About

Wenqi "Marcus" Wu is a PhD student in the Department of Communication at the University of Maryland. His research interests include Public Relations and Crisis Communication. Marcus earned his bachelor's degree in communication and sociology from the University of Connecticut. His academic background and research focus are centered on understanding communication strategies in crisis and risk scenarios, contributing to the fields of public relations and communication studies.

Research topics

• Computer Science
• Artificial Intelligence
• Nursing
• Process management
• Medicine
• Business

Selected publications

• Effective cataract surgical coverage in adults aged 50 years and older: estimates from population-based surveys in 55 countries

  The Lancet Global Health · 2022-10-11 · 84 citations

  articleOpen access

  BACKGROUND: Cataract is the leading cause of blindness globally. Effective cataract surgical coverage (eCSC) measures the number of people in a population who have been operated on for cataract, and had a good outcome, as a proportion of all people operated on or requiring surgery. Therefore, eCSC describes service access (ie, cataract surgical coverage, [CSC]) adjusted for quality. The 74th World Health Assembly endorsed a global target for eCSC of a 30-percentage point increase by 2030. To ena…

  PublisherOA PDFDOI

• Learning Your Heart Actions From Pulse: ECG Waveform Reconstruction From PPG

  IEEE Internet of Things Journal · 2021-08-04 · 67 citations

  articleSenior author

  This article studies the relation between electrocardiogram (ECG) and photoplethysmogram (PPG) and investigates the inference of the ECG waveforms from the PPG signals that can be obtained from affordable wearable Internet-of-Things (IoT) devices for mobile health. In order to address this inverse problem, a transform is proposed to map the discrete cosine transform (DCT) coefficients of each PPG cycle to those of the corresponding ECG cycle based on the proposed cardiovascular signal model. The…

  PublisherDOI

• Grand Challenges in global eye health: a global prioritisation process using Delphi method

  The Lancet Healthy Longevity · 2022 · 51 citations

  BACKGROUND: We undertook a Grand Challenges in Global Eye Health prioritisation exercise to identify the key issues that must be addressed to improve eye health in the context of an ageing population, to eliminate persistent inequities in health-care access, and to mitigate widespread resource limitations. METHODS: Drawing on methods used in previous Grand Challenges studies, we used a multi-step recruitment strategy to assemble a diverse panel of individuals from a range of disciplines relevant…

  DOI

• A Comparative Study of Principled rPPG-Based Pulse Rate Tracking Algorithms for Fitness Activities

  IEEE Transactions on Biomedical Engineering · 2024-08-13 · 8 citations

  articleSenior author

  Performance improvements obtained by recent principled approaches for pulse rate (PR) estimation from face videos have typically been achieved by adding or modifying certain modules within a reconfigurable system. Yet, evaluations of such remote photoplethysmography (rPPG) are usually performed only at the system level. To better understand each module's contribution and facilitate future research in explainable learning and artificial intelligence for physiological monitoring, this paper conduc…

  PublisherDOI

• Feasibility Study of Location Authentication for IoT Data Using Power Grid Signatures

  IEEE Open Journal of Signal Processing · 2025-01-01 · 2 citations

  articleOpen accessSenior author

  Ambient signatures related to the power grid offer an under-utilized opportunity to verify the time and location of sensing data collected by the Internet-of-Things (IoT). Such power signatures as the Electrical Network Frequency (ENF) have been used in multimedia forensics to answer questions about the time and location of audio-visual recordings. Going beyond multimedia data, this paper investigates a refined power signature of Electrical Network Voltage (ENV) for IoT sensing data and carries…

  PublisherDOI

Recent grants

• CAREER: Signal Processing Approaches for Multimedia Security and Information Protection

  NSF · $356k · 2002–2008

• Forensic Hash for Assured Cyber-based Sensing and Communications

  NSF · $344k · 2010–2014

• Addressing Physical-Layer Challenges via CLAWS: Cross-Layer Approaches to Wireless Secure Communications

  NSF · $312k · 2008–2012

Frequent coauthors

• Sergios Theodoridis

  National and Kapodistrian University of Athens

  522 shared

• Ahmed H. Tewfik

  Apple (United Kingdom)

  522 shared

• Ali H. Sayed

  École Polytechnique Fédérale de Lausanne

  476 shared

• Walter Kellermann

  Friedrich-Alexander-Universität Erlangen-Nürnberg

  476 shared

• Béatrice Pesquet‐Popescu

  University of Maryland, Baltimore County

  472 shared

• Antonio Ortega

  University of Southern California

  472 shared

• Robert Karam

  University of South Florida

  472 shared

• Athina P. Petropulu

  Rutgers, The State University of New Jersey

  426 shared

Labs

• Communication DepartmentPI

Education

• Ph.D., Electrical Engineering

  Princeton University

  2001

• B.A. Economics, School of Economics & Management

  Tsinghua University

  1996

• B.S.E., Department of Automation

  Tsinghua University

  1996

Similar researchers at University of Maryland, College Park

• Arie Kruglanskih-106
• Jiyoun Kimh-31
• Xiaoli Nanh-31