Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…

Paul S. Martin

· Associate Professor of Public Policy

University of Virginia · Public Policy

Active 1935–2019

h-index28
Citations4.7k
Papers82
Funding
See your match with Paul S. Martin — sign in to PhdFit.Sign in

About

Paul S. Martin is an associate professor of public policy at the Frank Batten School of Leadership and Public Policy at the University of Virginia. He is a political scientist with research interests that include representation, political participation and advocacy, the role of mass media, and the origins and consequences of social capital. His work has been recognized with awards such as the Dirksen Congressional Research Award and the Harvard University Goldsmith Award. His current research focuses on peace and conflict in Northern Ireland as a comparative lens for understanding similar processes in the American context. Dr. Martin teaches courses on the policy process, the role of NGOs in policy, advocacy and inequality, elections and policy, and the role of policy in Northern Ireland. He has received the Batten School’s Excellence in Teaching Award and UVa’s All-University Teaching Award. As a first-generation college graduate, he has developed an action-based research course aimed at improving the experience of First-Generation and Low-Income students at UVA, supported by a THRIVE Teaching Grant. Prior to joining UVA in 2011, he was a faculty member at the University of Oklahoma, where he taught a variety of courses related to political science and public policy. Dr. Martin is actively engaged in community service, co-directing the Community Policy, Analytics, and Strategy (CommPAS) Lab and participating in several Charlottesville community organizations. His work emphasizes community engagement and addressing data-driven research needs, including developing and teaching courses on philanthropy and non-governmental organizations.

Research topics

  • Geology
  • Computer Science
  • Aerospace engineering
  • Environmental science
  • Remote sensing
  • Engineering
  • Metallurgy
  • Systems engineering
  • Mining engineering
  • Environmental chemistry
  • Geochemistry
  • Materials science
  • Chemistry
  • Radiochemistry
  • Aeronautics
  • Physics
  • Mineralogy
  • Nuclear medicine
  • Earth science

Selected publications

  • Radiological Identification of Near-Surface Mineralogical Deposits Using Low-Altitude Unmanned Aerial Vehicle

    Remote Sensing · 2020 · 30 citations

    1st authorCorresponding
    • Mining engineering
    • Environmental science
    • Geology

    An ever-increasing global population and unabating technological growth have resulted in a relentless appetite for mineral resources, namely rare earth elements, fuel minerals and those utilised in electronics applications, with the price of such species continuing to climb. In contrast to more established large-scale and high-cost exploration methodologies, this work details the application of novel multi-rotor unmanned aerial vehicles equipped with miniaturised radiation detectors for the objective of undertaking resource exploration at lower costs, with greater autonomy and at considerably enhanced higher spatial resolutions; utilizing the ore material’s inherent low levels of characteristic radioactivity. As we demonstrate at the former Wooley Mine site in Arizona, USA, a legacy Cu/Fe prospect where the 600 by 275 m ore body (with a maximum deposit depth of 150 m), it is shown that such a fusion of commercially available low-altitude multi-rotor aerial technology combined with cutting-edge micro-electronics and detector materials is capable of accurately assessing the spatial distribution and associated radiogenic signatures of commercially valuable surface/near-surface ore bodies. This integrated system, deployed at an autonomously controlled consistent survey altitude and using constant grid transects/separations, is shown to be able to delineate the mineral-containing ore deposits on the site, the location(s) of former mine workings and other surface manifestations. Owing to its advantageous costs alongside its ease of operation and subsequent data-processing, through the adoption of this system, it is envisaged that less economically developed countries would now possess the means through which to evaluate and appropriately quantify their mineral wealth without the significant initial expenditure needed to equip themselves with otherwise prohibitively expensive technologies.

  • An advanced analytical assessment of rare earth element concentration, distribution, speciation, crystallography and solid-state chemistry in fly ash

    Spectrochimica Acta Part B Atomic Spectroscopy · 2020 · 26 citations

    • Chemistry
    • Mineralogy
    • Environmental chemistry
  • Radiological Mapping of Post-Disaster Nuclear Environments Using Fixed-Wing Unmanned Aerial Systems: A Study From Chornobyl

    Frontiers in Robotics and AI · 2020 · 44 citations

    • Computer Science
    • Computer Science
    • Environmental science

    In the immediate aftermath following a large-scale release of radioactive material into the environment, it is necessary to determine the spatial distribution of radioactivity quickly. At present, this is conducted by utilizing manned aircraft equipped with large-volume radiation detection systems. Whilst these are capable of mapping large areas quickly, they suffer from a low spatial resolution due to the operating altitude of the aircraft. They are also expensive to deploy and their manned nature means that the operators are still at risk of exposure to potentially harmful ionizing radiation. Previous studies have identified the feasibility of utilizing unmanned aerial systems (UASs) in monitoring radiation in post-disaster environments. However, the majority of these systems suffer from a limited range or are too heavy to be easily integrated into regulatory restrictions that exist on the deployment of UASs worldwide. This study presents a new radiation mapping UAS based on a lightweight (8 kg) fixed-wing unmanned aircraft and tests its suitability to mapping post-disaster radiation in the Chornobyl Exclusion Zone (CEZ). The system is capable of continuous flight for more than 1 h and can resolve small scale changes in dose-rate in high resolution (sub-20 m). It is envisaged that with some minor development, these systems could be utilized to map large areas of hazardous land without exposing a single operator to a harmful dose of ionizing radiation.

Frequent coauthors

  • Thomas B. Scott

    University of Wisconsin–Eau Claire

    123 shared
  • Dean Connor

    47 shared
  • Oliver Payton

    University of Bristol

    42 shared
  • Janet L. Taylor

    41 shared
  • Neil D. Avent

    41 shared
  • Geoff Daniels

    University of Alabama at Birmingham

    37 shared
  • Simon C. Gandevia

    Prince of Wales Hospital

    34 shared
  • D. Smith

    University of Bristol

    27 shared

Awards & honors

  • Dirksen Congressional Research Award
  • Harvard University Goldsmith Award
  • Batten School’s Excellence in Teaching Award (2019)
  • UVa’s All-University Teaching Award (2020)

Similar researchers at University of Virginia

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Paul S. Martin

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup