Research

Major External Research Grants
Research in CSU Electromagnetics Lab
PhD, MS, REU Students
ATMC Telecom. Lab, UMD
Research at CU and U of Belgrade
EM and Engineering Education Research

Graduate and Undergraduate Research Assistantships available on NSF, DoD, and other grants.


Major External Research Grants

Active grant funding in 2017:

Active grant funding in 2016:

Grant “Revolutionizing Simulation-Based Design: Adaptive Anisotropic Multiscale Computational Methods for Electromagnetics and Engineering,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Communications, Circuits, and Sensing Systems (CCSS) Program, unsolicited grant, PI Branislav Notaros (single-PI grant), start date August 1, 2024, end date July 31, 2027, $450,000, Award No. 2414473 (Program Director: Dr. Jenshan Lin).

Grant “CDS&E: ECCS: Accurate and Efficient Uncertainty Quantification and Reliability Assessment for Computational Electromagnetics and Engineering,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Computational and Data‐Enabled Science and Engineering (CDS&E) Program, PI Branislav Notaros (single-PI grant), start date June 15, 2023, end date May 31, 2026, $420,000, Award No. 2305106 (Program Director: Dr. Jenshan Lin).

Contract “RF Analysis and Validation Engineering Software (RAVEnS),” from the Air Force Research Laboratory (‎AFRL), Applied Research Associates (ARA), PI: Branislav Notaros (single-investigator contract), start date July 1, 2020, end date June 30, 2025, $1,000,000, Contract No. FA8650-20-C-1132.

Grant “Novel Integrated Characterization of Microphysical Properties of Ice Particles Using In-Situ Field Measurements and Polarimetric Radar Observations,” from the National Science Foundation, Geosciences Directorate, Atmospheric and Geospace Sciences (AGS) Division, Physical and Dynamic Meteorology (PDM) Program, unsolicited grant, PI: Branislav Notaros, co-PI: V. Bringi, start date October 1, 2020, end date September 30, 2025, $647,003, Award No. AGS- 2029806 (Program Director: Dr. Yu Gu).

Grant “A Telemedicine Approach for Monitoring Fracture Healing Via Direct Electromagnetic Coupling,” from the National Institutes of Health (NIH), NIH R21 grant, PI: Christian Puttlitz, Co-PIs: Kevin Labus and Branislav Notaros, and Subcontract to UC Denver, start date March 1, 2020, end date February 28, 2024, $351,322 (B. Notaros part: $93,835), Grant No. 1R21AR077323.

Grant “Direct Electromagnetic Coupling for Diagnostic Prediction of Fracture Healing,” from the Office of Economic Development and International Trade (OEDIT), State of Colorado, PI: Christian Puttlitz, Co-PIs: Kevin Labus, Branislav Notaros, and Jeremiah Easley, start date March 1, 2020, end date February 28, 2021, $170,000.

Grant “Novel RF Volume Coils for High and Ultra-High Field Magnetic Resonance Imaging Scanners,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Communications, Circuits, and Sensing Systems (CCSS) Program, unsolicited grant, PI Branislav Notaros (single-PI grant), start date September 1, 2018, end date August 31, 2024, $370,000, Award No. ECCS-1810492 (Program Director: Dr. Jenshan Lin).

Grant “Development of Uncertainty Quantification and Design Approaches and Solutions,” from the Air Force Research Laboratory (‎AFRL), CREATE SENTRi, Riverside Research Institute, PI: Donald Estep (Statistics Department), co-PI: Branislav Notaros (B. Notaros part: 65%), co-PI: Troy Butler (subcontract to University of Colorado Denver), start date September 19, 2016, end date September 18, 2021, $744,882.

Grant "CPS: Synergy: Collaborative Research: Enabling Smart Underground Mining with an Integrated Context-Aware Wireless Cyber-Physical Framework,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Cyber-Physical Systems (CPS) Program, PI: Sudeep Pasricha, co-PI: Branislav Notaros, start date October 1, 2016, end date September 30, 2020, CSU part: $412,500, Award No. ECCS-1646562.

Grant “Toward a More Statistically Robust, Generalized Process Evaluation Framework of Bin and Bulk Microphysics in Winter Precipitation Using NASA GV and GPM-DPR Data,” from NASA (National Aeronautics and Space Administration), Science Mission Directorate, Earth Science, Precipitation Measurement Missions (PMM), PMM Science Team, PI: Branislav Notaros, co-PIs: V. N. Bringi and Andrew Newman, start date March 1, 2016, end date August 31, 2020, $240,000, Award No. NNX16AE43G.

Grant “IUSE Revolutionizing Engineering Departments (RED): Revolutionizing Roles to Reimagine Integrated Systems of Engineering Formation (R2E2 – Revolutionary Redesign of Engineering Education),” from National Science Foundation, Directorate of Engineering, Division of Engineering Education and Centers (EEC), PI: Anthony Maciejewski, ECE Dept. Head; B. Notaros is Senior Personnel on this grant; start date July 1, 2015, end date June 30, 2021, $1,988,663, Award No. EEC 1519438.

Grant “Advanced Comprehensive Analysis of Rain Drop Shapes, Oscillation Modes, and Fall Velocities Using High-Resolution Surface Disdrometers, Polarimetric Radar, and Numerical Models,” from the National Science Foundation, Geosciences Directorate, Atmospheric and Geospace Sciences (AGS) Division, Physical and Dynamic Meteorology (PDM) Program, unsolicited grant, PI: V. Bringi, co-PI: Branislav Notaros, start date January 1, 2015, end date December 31, 2019, $530,342, Award No. AGS-1431127.

Grant “Accurate Characterization of Winter Precipitation Using Multi-Angle Snowflake Camera, Visual Hull, Advanced Scattering Methods, and Polarimetric Radar,” from the National Science Foundation, Geosciences Directorate, Atmospheric and Geospace Sciences (AGS) Division, Physical and Dynamic Meteorology (PDM) Program, unsolicited grant, PI Branislav Notaros, co-PI: V. Bringi, start date December 1, 2013, end date November 30, 2018, $607,967, Award No. AGS-1344862.

Grant “Treatment Methodologies for Radiofrequency (RF) Injuries,” subcontract RF Applicator System Development, from Wyle Laboratories, Inc./USAF School of Aerospace Medicine (USAFSAM)/AFOSR, subcontract PI Branislav Notaros (CSU PI Thomas Johnson, Department of Environmental and Radiological Health Sciences), start date September 4, 2013, end date December 1, 2014, $71,497.

Grant “Suppression of Wind Turbine Clutter from Radar Data,” from Matrix Research, Inc./Air Force Office of Scientific Research (AFOSR), Small Business Technology Transfer (STTR) Program – Phase I, Margaret Cheney, V. Chandraskar, Branislav Notaros, start date October 15, 2013, end date January 14, 2014, $90,000.

Grant “Collaborative Research: Electromagnetic Field Profile Design for Next-Generation Travelling-Wave MRI,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Communications, Circuits, and Sensing Systems (CCSS) Program, unsolicited grant, PI Branislav Notaros, start date July 1, 2013, end date June 30, 2019, CSU part: $248,000, Award No. ECCS-1307863.

Grant “Diakoptic Approach to Modeling and Design of Complex Electromagnetic Systems,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Integrative, Hybrid and Complex Systems (IHCS) Program, unsolicited grant, PI Branislav Notaros (single-investigator grant), start date May 1, 2010, end date April 30, 2016, $404,000, Award No. ECCS-1002385.

Grant “Analysis of Structures for 3-D ALERT,” subcontract from the University of Colorado at Boulder, Phase 0 DARPA grant, collaboration of CU Boulder (Prof. Zoya Popovic), CSU, and BAE Systems. CSU budget $20,000, start date February 23, 2007, end date March 31, 2007. CSU PI Branislav Notaros.

Grant “Efficient Higher Order Techniques for Electromagnetic Modeling and Design of Photonic Crystal Structures,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems (ECCS) Division, Integrative, Hybrid and Complex Systems (IHCS) Program, unsolicited grant, PI Branislav Notaros (single-investigator grant), start date September 1, 2006, end date August 31, 2011, $410,396, Award No. ECCS-0650719.

Grant “Textile Based Carbon Nanostructured Flexible Antenna,” from the National Textile Center (NTC), Competency: Materials, B. Notaros is a co-PI, collaborative project with colleagues in the ECE Department and Materials and Textiles Department at UMass Dartmouth and Rennselaer Polytechnic Institute, start date June 1, 2006, end date May 31, 2009, $155,000 per year, Project ID: M06-MD01.

Grant “Higher-Order Finite Element-Moment Method Modeling Techniques for Conformal Antenna Applications,” from the National Science Foundation, Engineering Directorate, Electrical, Communications and Cyber Systems Division, Electronics, Photonics, and Device Technologies (EPDT) Program, unsolicited grant, PI Branislav Notaros (single-investigator grant), start date September 1, 2003, end date August 31, 2009, $249,417, Award No. ECCS-0647380.

Grant “Large-Domain Hybrid Moment Method–Physical Optics Techniques for Efficient and Accurate Electromagnetic Modeling of Cars and Aircraft over a Wide Range of Frequencies,” from the National Science Foundation, Engineering Directorate, Electrical and Communications Systems Division, EPDT Program, unsolicited grant, PI Branislav Notaros (single-investigator grant), start date September 1, 2001, end date August 31, 2005, $192,000, Award No. ECS-0115756.

NSF Foundation Coalition grant, project “Electromagnetics Concept Inventory” – Branislav Notaros, National Science Foundation, Engineering Directorate, Engineering Education and Centers Division, start date June 1, 2000, end date August 31, 2003, approx. $70,000, Award No. EEC-9802942.


Research in the Electromagnetics Laboratory

Eng B110, Colorado State University

(Director Branislav Notaros)

Research expertise, interests, contributions, initiatives, and future plans of the Electromagnetics Laboratory at Colorado State University, ECE Department, are in the area of electromagnetics, and in its crossings with other areas of science and engineering. Our current research activities span a very broad range of exciting and emerging topics in computational electromagnetics; modeling and numerical methods; higher order CEM methodologies and tools; antennas; scattering; AI and machine learning in computational EM, remote sensing, and medical imaging and diagnostics; cyber-physical systems; error estimation; adaptive model refinement; uncertainty quantification; atmospheric/meteorological electromagnetics; radar meteorology; characterization of snow and rain; surface and radar precipitation measurements; image processing; RF/optical instrumentation development; bioelectromagnetics; RF design for magnetic resonance imaging at high and ultrahigh magnetic fields; direct electromagnetic coupling system for orthopaedic diagnostics; telemedicine system for orthopaedic applications; and electromagnetics education.

While these topics and applications are really “all over” science and engineering, we focus on the strong interweaving common thread among all of them – electromagnetics.

 

Our main contributions to computational electromagnetics (CEM) are in higher order CEM techniques based on the method of moments (MoM), surface integral equation (SIE) approach, volume integral equation (VIE) formulation, finite element method (FEM), ray tracing (RT), physical optics (PO), domain decomposition method (DDM), diakoptics, hybrid CEM methods, adjoint methods, a posteriori error estimation, adaptive model refinement, uncertainty quantification, sensitivity analysis, and general surface meshing methods, as applied to modeling and design of antennas, scatterers, and RF/microwave and optical devices and systems.


In addition to higher order, large (up to few wavelengths in each dimension) elements (large-domain modeling), a mixture of low-to-high-order, small-to-large elements is possible in the same CEM model. Our elements and basis functions are hierarchical and suitable for p- and hp-refinements. We are also developing and advancing all sorts of hybrid higher order CEM methods, e.g., FEM-SIE, VIE-SIE, MoM-PO, SIE-FEM-diakoptics, SIE-VIE-diakoptics, and so on.


Some current projects include:

  1. revolutionizing simulation-based design: adaptive anisotropic multiscale computational methods for electromagnetics and engineering;
  2. computational and data-enabled science and engineering: accurate and efficient uncertainty quantification (UQ) and reliability assessment for computational electromagnetics and engineering;
  3. advances of AI and machine learning as applied to computational EM, remote sensing, and medical imaging and diagnostics;
  4. error estimation, adaptive model refinement, and uncertainty quantification for RF Analysis and Validation Engineering Software (RAVEnS);
  5. development of UQ and design approaches and solutions for CREATE/SENTRi;
  6. adjoint-based error estimation and control, adaptive model refinement, sensitivity analysis, and accelerated high-dimensional UQ;
  7. novel synergistic approach to fully adaptive error control (both deterministic and statistical) and UQ for reliability assessment in engineering applications and EM systems and devices;
  8. refinement-by-superposition approach to adaptive fully anisotropic hp-refinement in computational electromagnetics, with theoretically guaranteed exponential convergence of solutions in all cases;
  9. general surface meshing in CEM using discrete surface Ricci flow and iterative adaptive refinement;
  10. novel shooting and bouncing ray tracing techniques for indoor and outdoor propagation modeling: advancing accuracy and parallel GPU optimization;
  11. novel integrated characterization of microphysical properties of ice particles using in-situ field measurements and polarimetric radar observations;
  12. accurate characterization of winter precipitation using multi-angle snowflake camera, visual hull, advanced scattering methods, and polarimetric radars;
  13. AI-enabled analysis, characterization, classification, and profiling of winter precipitation and snow particles based on multicamera instruments, image processing, and machine learning methodologies;
  14. novel RF volume coils (antennas) for next-generation high and ultrahigh field (B0 ≥ 3T) magnetic resonance imaging (MRI) scanners;
  15. integrated design of exposure and excitation of EM RF fields for traveling-wave MRI at high and ultrahigh magnetic fields;
    Quadrifilar Helical Antenna as a Whole-Body Traveling-Wave RF Coil for 3T and 7T MRI
    RF Excitation in 7 Tesla MRI Systems Using Monofilar Axial-Mode Helical Antenna
    Long and Short Monofilar and Quadrifilar Helical Antenna RF Coils at 7 T
    Subject-loaded quadrifilar helical-antenna RF coil with high B1+ field uniformity and large FOV for 3-T MRI




  16. direct electromagnetic coupling (DEC) system for human orthopaedic fracture-healing diagnostics;
  17. telemedicine system for orthopaedic patient self-testing and data transmission;
  18. advanced comprehensive analysis of rain drop shapes, oscillation modes, and fall velocities using high-resolution surface disdrometers, polarimetric radar, and numerical models;
    Measurement and Analysis of Rain Precipitation at MASCRAD Instrumentation Site in Colorado
    Towards Completing the Rain Drop Size Spectrum: Case Studies Involving 2D-Video Disdrometer, Droplet Spectrometer, and Polarimetric Radar Measurements
    DPWX/Microburst winds and melting hail at the Easton Airport field site: 9 July 2015
    Investigating rain drop shapes, oscillation modes, and implications for radiowave propagation
    Large Raindrops Against Melting Hail: Calculation of Specific Differential Attenuation, Phase and Reflectivity
  19. AI-enabled data-driven machine learning-based approach to accelerate MoM, FEM, and related variational methods by predicting macro basis functions;
  20. fast scalable higher order direct algorithms for large and complex problems in computational sciences and engineering;
  21. hierarchical matrix methods for extreme-scale parallel computing on leading-edge HPC platforms;
  22. observational analysis, modeling, and development of a statistically robust, generalized process evaluation framework of bin and bulk microphysics in winter precipitation using NASA GV and GPM-DPR data;
  23. cyber-physical systems: modeling and measurements of EM propagation in underground mines and enabling smart underground mining with an integrated wireless cyber-physical framework;
    Underground wireless system may save trapped miners with smart phones, CSU researchers say
    Can you hear me now? CSU research could help miners stay safe
  24. development of the optical/electronic/laser-sensing/image-processing Snowflake Measurement and Analysis System (SMAS);
  25. RF/microwave applicator system development for biomedical applications;

  26. development of antennas for biomedical applications;
  27. revolutionizing engineering departments (RED) – revolutionary redesign of engineering education.
  28. MASCRAD (MASC + Radar) Snow Observation/Analysis Field Site;

    Accurate Characterization of Winter Precipitation Using Multi-Angle Snowflake Camera, Visual Hull, Advanced Scattering Methods and Polarimetric Radar
    Measurement and Characterization of Winter Precipitation at MASCRAD Snow Field Site
    Snow Precipitation Measurement and Analysis During MASCRAD Winter Observations
    Visual Hull Method for Realistic 3D Particle Shape Reconstruction Based on High-Resolution Photographs of Snowflakes in Freefall from Multiple Views
    Dual-polarized radar and surface observations of a winter graupel shower with negative Zdr column
    DPWX/Initial Multiple Angle Snow Camera-Radar experiment (MASCRAD) project operations: 15 November 2014
    Efficient and Accurate Computational Electromagnetics Approach to Precipitation Particle Scattering Analysis Based on Higher-Order Method of Moments Integral Equation Modeling
    Let It Snow





  29. International Collaborative Experiments for Pyeongchang 2018 Olympic & Paralympic Winter Games, Republic of Korea, ICE-POP 2018;

Laboratory and equipment:

Electromagnetics Laboratory, CSU Engineering Building B110, includes a completely computerized and motorized six-axis 10 MHz–50 GHz antenna and scattering test system (three-axis spherical positioning system and three-axis planar positioning system), completely built by students, in a fully anechoic and shielded chamber and a vector network analyzer system (PNA), with time-domain option, oscilloscope, power generators, pulse generator, and other RF equipment.

Antenna test system development: click here


Ph.D. Students




M.S. Students


Undergraduate REU Students

Other research undergraduate students supported by NSF grants (at CSU):


Postdocs and Senior Research Scientists at CSU


ATMC Telecommunications Lab, UMD

Telecommunications Laboratory, a part of the Advanced Technology and Manufacturing Center (ATMC) at UMass Dartmouth, is a state-of-the-art RF, antenna, and wireless facility providing excellent opportunities for student training and partnering with industry. Its equipment includes:


Participation on Grants and Contracts at University of Colorado and University of Belgrade


Electromagnetics and Engineering Education Research