{"id":5123,"date":"2026-05-13T15:08:18","date_gmt":"2026-05-13T19:08:18","guid":{"rendered":"https:\/\/oge.mit.edu\/msrp\/?post_type=profiles&#038;p=5123"},"modified":"2026-08-11T16:53:55","modified_gmt":"2026-08-11T20:53:55","slug":"copernic-mensah","status":"publish","type":"profiles","link":"https:\/\/oge.mit.edu\/msrp\/profiles\/copernic-mensah\/","title":{"rendered":"Copernic Mensah"},"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\/Mensah-Copernic.jpg\" alt=\"\" class=\"wp-image-5614\" style=\"aspect-ratio:1;object-fit:cover;width:200px;height:auto\" srcset=\"https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Mensah-Copernic.jpg 400w, https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Mensah-Copernic-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>Hampton University<\/strong><br>Faculty Advisor: Prof. Wesley Harris<br>Research Supervisor: Stewart Isaacs<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\">Copernic Mensah is a computer science undergraduate at Hampton University, working<br>toward a Ph.D. During the school year, he researches nuclear fusion at The Center for Fusion<br>Research and Training, modeling Poincar\u00e9 plots and experimenting with stellarator coilwinding.<br>He is currently interning at MIT&#8217;s Hypersonics Research Laboratory, working under<br>Dr. Wesley Harris and Dr. Stewart Isaacs to study shape-enhanced aerodynamic dust removal<br>from solar panels in West Africa. Before that, he served as a Quantitative Developer Intern at<br>the Nwagbara Group LLC, maintaining high-frequency trading engines in Rust. At the Center<br>for Applied Biomechanics and Rehabilitation, he designed a 2D robotic hand exoskeleton game<br>for stroke patients. He received recognition at NASA&#8217;s Solar Energy and Science Gateways<br>hackathons for his work in astronaut augmented reality and LLM data portals for reproducible<br>science. Across every difficult project, Copernic&#8217;s approach remains the same: understand the<br>problem analytically, then solve it numerically.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br><strong>Uniform Dust Deposition and Orientation Detection for Wind Tunnel<br>Testing of Photovoltaics<br>Copernic Mensah1, Dr. Stewart Isaacs2, Dr. Wesley Harris2<\/strong><br>1Department of Computer Science, Hampton University<br>2Department of Astronautics and Aeronautics, Massachusetts Institute of Technology<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br>Dust accumulation on photovoltaic (PV) module surfaces limits power generation. While<br>manual, automatic, and semi-automatic cleaning strategies exist to remove surface dust, no<br>passive cleaning strategy currently exists. This project investigates passive dust removal through<br>wind tunnel experimentation at 10 m\/s on analog PV panels, testing three angles of attack (0\u00b0,<br>15\u00b0, and 30\u00b0). We first developed a standardized dust deposition method by comparing four<br>candidate techniques\u2014manual pile-and-push, manual mesh tapping, automatic mesh sifting, and<br>manual mesh shaking\u2014evaluated on deposition time, evenness, particle uniformity, and spread.<br>Pile-and-push was fastest (1:30) but produced uneven coverage, corner gaps, and dust clumping.<br>Mesh tapping (1:47) achieved even, uniform coverage but required strenuous, repeated effort,<br>making it impractical across many trials. Automatic mesh sifting (2:30) produced even, uniform,<br>fine, gap-free coverage without manual strain and was selected as our standardized deposition<br>procedure. Alongside this work, we developed a ChArUco board-based computer vision model<br>that uses corner detection and PnP (Perspective-n-Point) pose estimation to detect panel tilt. The<br>findings of this work aim to improve PV module performance.<\/p>\n","protected":false},"featured_media":5443,"template":"","profile_category":[25],"class_list":["post-5123","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\/5123","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\/5123\/revisions"}],"predecessor-version":[{"id":5731,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5123\/revisions\/5731"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media\/5443"}],"wp:attachment":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media?parent=5123"}],"wp:term":[{"taxonomy":"profile_category","embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profile_category?post=5123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}