{"id":5320,"date":"2026-05-13T14:59:49","date_gmt":"2026-05-13T18:59:49","guid":{"rendered":"https:\/\/oge.mit.edu\/msrp\/?post_type=profiles&#038;p=5320"},"modified":"2026-08-13T14:43:56","modified_gmt":"2026-08-13T18:43:56","slug":"isaac-monteiro","status":"publish","type":"profiles","link":"https:\/\/oge.mit.edu\/msrp\/profiles\/isaac-monteiro\/","title":{"rendered":"Isaac Monteiro"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"599\" src=\"https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Moneiro-Isaac.jpg\" alt=\"by Corban Swain\" class=\"wp-image-5617\" style=\"aspect-ratio:1;object-fit:cover;width:200px;height:auto\" srcset=\"https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Moneiro-Isaac.jpg 400w, https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Moneiro-Isaac-200x300.jpg 200w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\"><strong>Mercer University<\/strong><br>Faculty Advisor: Prof. Moe Win<br>Research Supervisors: Maison Clouatre<br>Department: Aeronautics and Astronautics<\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Biography<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Isaac Monteiro is a rising Junior from Lawrenceville, Georgia, majoring in Electrical<br>Engineering and Mathematics at Mercer University. At Mercer, Isaac is a Stamps Scholar, a<br>member of the Engineering Honors Program and the Mercer Robotics Club, and a participant<br>in a Mercer On Mission service-learning project in Cape Town, South Africa. He has held<br>intern positions at the Georgia Tech Research Institute and Travis Pruitt &amp; Associates. In<br>Mercer\u2019s Cyber-Physical Systems and Control Lab, he has nurtured an interest in control theory,<br>optimization, and electrical automation through research under the mentorship of Dr. Makhin<br>Thitsa. His current research investigates multi-agent systems, gradient-free optimization, and<br>other topics in nonlinear control. In the future, Isaac aspires to earn a PhD in engineering with<br>a focus on controls and automation. He hopes to research optimization strategies that contribute<br>to the future of energy and environmental sustainability at a national lab.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br><strong>Information-Optimal Measurements for Multiparameter Quantum Estimation<\/strong><br>Isaac Monteiro1, Maison Clou\u00e2tr\u00e92, Moe Z. Win2<br>1Department of Electrical and Computer Engineering, Mercer University<br>2Department of Aeronautics and Astronautics, Massachusetts Institute of Technology<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br>Multiparameter quantum estimation (MQE) has many applications in sensing, metrology, and<br>computing. The goal of MQE is to infer a collection of parameters that are encoded into the<br>state of a quantum system. This is done by measuring the state using a particular measurement<br>apparatus and then constructing parameter estimators based on the measurement outcomes.<br>The quality of such estimators is limited by the amount of information contained in the<br>measurement outcomes. Therefore, an important engineering task is to design measurements<br>that optimize this information in an appropriate way. This project introduces new information<br>quantities for MQE that are constructed by optimizing the measurement used to interrogate<br>the parameterized quantum state. In particular, we scalarize the Fisher information<br>matrix, optimize the scalarization over physically-realizable measurements, and study the<br>mathematical properties of this scalarization. This work demonstrates that measurements<br>optimized for information extraction lead to improved capabilities in quantum metrology<br>and sensing. Future directions for this research include developing an adaptive measurement<br>framework to enable the selection of optimal measurements even when said measurements<br>depend on the unknown parameters. Furthermore, a case study using a particular application<br>(e.g., nitrogen vacancy (NV) center magnetometers) could demonstrate the framework\u2019s<br>efficacy for quantum sensing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"featured_media":5617,"template":"","profile_category":[25],"class_list":["post-5320","profiles","type-profiles","status-publish","has-post-thumbnail","hentry","profile_category-2026-interns"],"acf":[],"_links":{"self":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5320","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles"}],"about":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/types\/profiles"}],"version-history":[{"count":3,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5320\/revisions"}],"predecessor-version":[{"id":5830,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5320\/revisions\/5830"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media\/5617"}],"wp:attachment":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media?parent=5320"}],"wp:term":[{"taxonomy":"profile_category","embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profile_category?post=5320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}