{"id":2870,"date":"2022-03-04T02:13:39","date_gmt":"2022-03-04T02:13:39","guid":{"rendered":"https:\/\/wordpress3.cosmos-lab.org\/?page_id=2870"},"modified":"2023-02-15T21:58:06","modified_gmt":"2023-02-15T21:58:06","slug":"2021-research-projects","status":"publish","type":"page","link":"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2021-research-projects\/","title":{"rendered":"2021 Research Projects"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2870\" class=\"elementor elementor-2870\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-70d9c5d4 elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"70d9c5d4\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-29fdc5d8\" data-id=\"29fdc5d8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-132fc7d6 elementor-widget elementor-widget-text-editor\" data-id=\"132fc7d6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1>Summer Internship<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7c52c18e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7c52c18e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-72c5228\" data-id=\"72c5228\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-78198f25 elementor-widget elementor-widget-shortcode\" data-id=\"78198f25\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><span class=\"oceanwp-breadcrumb\"><nav role=\"navigation\" aria-label=\"Breadcrumbs\" class=\"site-breadcrumbs clr position-\"><ol class=\"trail-items\" ><meta name=\"numberOfItems\" content=\"1\" \/><meta name=\"itemListOrder\" content=\"Ascending\" \/><li class=\"trail-item trail-end\" ><span itemprop=\"name\"><a href=\"https:\/\/wordpress3.cosmos-lab.org\" rel=\"home\" aria-label=\"Home\"><i class=\" icon-home\" aria-hidden=\"true\" role=\"img\"><\/i><span class=\"breadcrumb-home has-icon\">Home<\/span><\/a><\/span><meta itemprop=\"position\" content=\"1\" \/><\/li><\/ol><\/nav><\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-76df191e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"76df191e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-90190d5\" data-id=\"90190d5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0a061b6 elementor-widget elementor-widget-text-editor\" data-id=\"0a061b6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>2021 Research Projects<\/h2><div align=\"center\"><table border=\"1\"><tbody><tr valign=\"top\"><td width=\"75%\"><strong>Project<\/strong><\/td><td><strong>Pre-Requisites<\/strong><\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Transmitter Identification with machine learning<\/b>: Future radio spectrum management techniques will use dynamic information to allocate spectrum resources, rather than using a fixed number of bands. Transmitter identification is critical to accuracy gauge demand as well as enforce existing policies. In this project, you will quantify the efficacy of a variety of machine learning approaches to transmitter identification. You will collect training data from a variety of transmitter types in the orbit grid and compare the accuracy of different types of neural networks ability to identify the type and number of transmitters.<\/div><\/td><td>OS: Linux<br \/>Software: C++, Python<\/td><\/tr><tr><td><div align=\"left\"><b>High speed training using binary neural networks:<\/b>\u00a0Training machine learning systems is currently very slow. Recent work has shown promise by using simpler representations of numbers than the commonly used floating point ones. In this project, you will create and measure neural networks which use only binary or integer numbers for both training and inference.<\/div><\/td><td>OS: Linux<br \/>Software: C\/C++, Python<\/td><\/tr><tr><td><div align=\"left\"><b>Distributed spectrum sensing and channel assignment<\/b>: use a collection of software defined radios (SDRs) to detect spectrum occupancy and perform channel usage coordination among number of radio systems.<\/div><\/td><td>OS: Linux<br \/>Software: C\/C++, Python<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Characterizing 5G Leakage on Passive Weather Sensing Spectrum Bands<\/b>: Perform RF interference characterization experiments at 23-24 GHz by using mmWave radios and RF measurement equipment<\/div><\/td><td>OS: Linux<br \/>Software: Matlab, Shell Scripting, C\/C++<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>FPGA implementation of object detection<\/b>: This project aims to study real-time object detection on the FPGA board. FPGA is a programmable chip that inherently supports parallel processing. Building object detection, which is a key component for autonomous driving and drone, on FPGA can provide task-flexible time-efficient energy-efficient solutions for practical object detection.<\/div><\/td><td>OS: Linux<br \/>Software: C\/C++, VHDL\/Verilog<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Smart Intersection Situational Awareness<\/b>: Use inputs from lidars, 2d and 3d cameras and other sensors to create a 3D point-cloud of the intersection area.<\/div><\/td><td>OS: Linux<br \/>Software: C\/C++, Phyton<\/td><\/tr><tr valign=\"top\"><td><b>Educational Virtual Reality Escape Rooms<\/b>: A game based on a set of virtual rooms in which players will have to solve a STEM related problem before being able to move to the next one \u2013 similar to the popular \u201cescape rooms\u201d experience.<\/td><td>OS: Windows, Android<br \/>Software:C#,C\/C++, Java<\/td><\/tr><tr valign=\"top\"><td><b>Real-time machine learning on the embedded devices<\/b>: This project aims to study efficient algorithm to reduce the computational and storage cost of the state-of-the-art deep learning models to enable real-time energy-efficient deployment on the embedded devices, such as smartphone, microcontroller etc.<\/td><td>OS: Android, Linux, Embedded programming<br \/>Software: C\/C++,Java, Phyton<\/td><\/tr><tr valign=\"top\"><td><b>Self-Driving Vehicular Project<\/b>: Assemble and train miniature autonomous vehicles to run in the miniature smart city environment. Design and implement self-driving algorithms using machine learning libraries in python. Design behavior that will allow the vehicles to react realistically to other cars and props in the smart city environment, and work with the testbed infrastructure to use external data from the intersection to improve performance.<\/td><td>OS: Linux<br \/>Software:Python, C\/C++<\/td><\/tr><tr valign=\"top\"><td><b>Tracking bee movements with machine learning<\/b>: This project will investigate how the recent explosion of Radio Frequency (RF) signals in the environment can have biological impacts. Recent work has shown bird navigation is impacted by megahertz frequencies, the investigation of the impacts of possible RF pollution is a concern. Honeybees are one of the few species which have been shown to have electromagnetic detection mechanisms sensitive enough to navigate using the Earth&#8217;s magnetic field. In this project, you will develop software to quantify the bees&#8217; motion vectors in a feeder. The motion vectors will be used in a Bayesian analysis to quantify the strength of their response to an RF field in the feeder, as compared with other factors which could influence their direction of motion.<\/td><td>OS: Linux, Embedded programming<br \/>Software: C\/C++, Python<\/td><\/tr><tr valign=\"top\"><td><b>Smart City Traffic Simulator<\/b>: Work on virtual reality smart city environment using Unity. Connect VR environment to traffic simulation software to generate realistic car behavior in the smart city. Work with physical smart city environment to use real car behavior as input to the simulator.<\/td><td>OS: Linux<br \/>Software: C\/C++, Python<\/td><\/tr><tr valign=\"top\"><td><b>Measuring the proboscis extension reflex for radio frequency radiation<\/b>: This project investigates possible biological impacts to radio frequency radiation. In this project, you will test if honeybees can associate an RF field with food. The PER reflex has been shown to be associated with odors, colors, and motion. Using a classical conditioning approach, this project will measure the bees&#8217; proboscis extension reflex (PER) to RF fields.<\/td><td>OS:<br \/>Software:<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Quantifying the transformation of Information to Energy<\/b>: Understanding the lower bounds of energy use in communications and computing is not well understood. In this project, you will build a software version of Maxwell&#8217;s demon, which converts information into energy. You will measure the demon&#8217;s effectiveness by modeling the relationship between the demon and the physical system as a discrete channel with noise, and measuring the energy extracted as a function of the conditional entropy.<\/div><\/td><td>OS:<br \/>Software:<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Analyzing Social Distancing Based on Sensory Inputs<\/b>: Use computer vision and other machine learning techniques to identify and measure the effects of social distancing policies on the population in an urban setting<\/div><\/td><td>OS: Linux<br \/>Software: Python, C\/C++<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Using Machine Learning for IoT<\/b>: Develop a framework for building intelligent environment applications through ambient sensing and machine learning<\/div><\/td><td>OS: Linux<br \/>Software: Python, C\/C++<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>AR Memorial<\/b>: Develop augmented reality obelisk\/memorial that can grow in all dimensions allowing users can contribute paintings, photos, videos or notes and leave them for other visitors<\/div><\/td><td>OS: Windows<br \/>Software: C#<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Adversarial Machine Learning on Voice Assistant Systems and IoT Devices<\/b>: Driven by the advancement of machine learning, voice-user interfaces in voice assistant systems (e.g., Alexa, Google Assistant, Siri) and IoT devices have widely incorporated machine learning models as building blocks for speech recognition and speaker identification. However, the machine learning models are inherently vulnerable to adversarial examples, which are well-designed perturbations leading to wrong predictions while being imperceptible to human beings. This project aims to study the vulnerability of voice-user interfaces under such adversarial attacks by developing audio adversarial examples.<\/div><\/td><td>OS: Linux\/Windows<br \/>Software: Python<\/td><\/tr><tr valign=\"top\"><td><div align=\"left\"><b>Mobile User Authentication via Deep Learning<\/b>: User authentication is a critical process in many mobile and IoT applications (e.g., unlocking devices, mobile payment). This project aims to achieve user authentication by applying deep learning techniques to the wireless signals generated by mobile\/IoT devices. The insight is that the user&#8217;s unique behaviors can lead to distinctive patterns in the wireless signals. By using wireless signals as input, we can develop deep learning techniques to extract unique behavioral biometrics to perform user authentication in real-time.<\/div><\/td><td>OS: Linux\/Windows<br \/>Software: C\/C++, Python<\/td><\/tr><\/tbody><\/table><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-49182b12\" data-id=\"49182b12\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e40b0ab elementor-widget elementor-widget-global elementor-global-1923 elementor-widget-text-editor\" data-id=\"5e40b0ab\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>2024 Summer Internship Dates<\/h3>\n<p><strong>Applications Due:<\/strong> April 14<br><strong>Notifications:<\/strong> April 28<br><strong>Internship Starts:<\/strong> May 28<br><strong>Internship Ends:<\/strong> Aug 7<\/p>\n<p><a href=\"http:\/\/www.orbit-lab.org\/wiki\/Other\/Summer\" target=\"_blank\" rel=\"noopener\">Project Pages<\/a><\/p>\n<h3>Past Research Topics<\/h3>\n<ul>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2023-research-projects\/\">2023<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2022-research-projects\/\">2022<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2021-research-projects\/\">2021<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2020-research-projects\/\">2020<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2019-research-projects\/\">2019<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2018-research-projects\/\">2018<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2017-research-projects\/\">2017<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2016-research-projects\/\">2016<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2015-research-projects\/\">2015<\/a><\/li>\n<li><a href=\"http:\/\/wordpress3.cosmos-lab.org\/?page_id=1843\">2014<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2013-research-projects\/\">2013<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2012-research-projects\/\">2012<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2011-research-projects\/\">2011<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2010-research-projects\/\">2010<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2009-research-projects\/\">2009<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2008-research-projects\/\">2008<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2007-research-projects\/\">2007<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2006-research-project\/\">2006<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2005-research-projects\/\">2005<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2004-research-projects\/\">2004<\/a><\/li>\n<li><a href=\"https:\/\/wordpress3.cosmos-lab.org\/prospective-students\/summer-internship\/2003-research-projects\/\">2003<\/a><\/li>\n<\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Summer Internship 2021 Research Projects Project Pre-Requisites Transmitter Identification with machine learning: Future radio spectrum management techniques will use dynamic information to allocate spectrum resources, rather than using a fixed number of bands. Transmitter identification is critical to accuracy gauge demand as well as enforce existing policies. In this project, you will quantify the efficacy [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2974,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"_links":{"self":[{"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/pages\/2870"}],"collection":[{"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/comments?post=2870"}],"version-history":[{"count":9,"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/pages\/2870\/revisions"}],"predecessor-version":[{"id":3002,"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/pages\/2870\/revisions\/3002"}],"up":[{"embeddable":true,"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/pages\/2974"}],"wp:attachment":[{"href":"https:\/\/wordpress3.cosmos-lab.org\/wp-json\/wp\/v2\/media?parent=2870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}