{"id":451,"date":"2024-08-05T21:56:39","date_gmt":"2024-08-05T18:26:39","guid":{"rendered":"https:\/\/smm.sadrn.com\/?page_id=451"},"modified":"2025-11-26T15:17:50","modified_gmt":"2025-11-26T14:17:50","slug":"research","status":"publish","type":"page","link":"https:\/\/smm.sadrn.com\/en\/work_experience\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lzhs0uyu-16f2499bc6b6f64b30b5a590d5db7371\">\n#top .av-special-heading.av-lzhs0uyu-16f2499bc6b6f64b30b5a590d5db7371{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-lzhs0uyu-16f2499bc6b6f64b30b5a590d5db7371 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lzhs0uyu-16f2499bc6b6f64b30b5a590d5db7371 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-lzhs0uyu-16f2499bc6b6f64b30b5a590d5db7371 av-special-heading-h3  avia-builder-el-0  el_before_av_one_full  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Keywords<\/th>        <th\n                        class=\" wdtheader \"\n        style=\"\">        Links<\/th>    <\/tr>\n<\/thead>\n        <!-- \/Table header -->\n\n        <!-- Table body -->\n        \n<tbody>\n<!-- Table body -->\n<div data-id=\"1\"\n     class=\"wdt-timeline-item wdt-timeline-table_1\"\n     style=\"\">\n    <div class=\"wdt-table-loader\">\n        <div class=\"wdt-table-loader-row wdt-table-loader-header\">\n            <div class=\"wdt-table-loader-header-cell wdt-animated-background\"><\/div>\n            <div class=\"wdt-table-loader-header-cell wdt-animated-background\"><\/div>\n            <div class=\"wdt-table-loader-header-cell wdt-animated-background\"><\/div>\n        <\/div>\n                    <div class=\"wdt-table-loader-row\">\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n            <\/div>\n                    <div class=\"wdt-table-loader-row\">\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n            <\/div>\n                    <div class=\"wdt-table-loader-row\">\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n                <div class=\"wdt-table-loader-cell wdt-animated-background\"><\/div>\n            <\/div>\n            <\/div>\n<\/div><!-- \/Table body -->\n                    <tr id=\"table_1_row_0\"\n            data-row-index=\"0\">\n                            <td style=\"\">1<\/td>\n                            <td style=\"\">smmsadrnezh<\/td>\n                            <td style=\"\">25\/11\/2025 05:51 PM<\/td>\n                            <td style=\"\">smmsadrnezh<\/td>\n                            <td style=\"\">25\/11\/2025 07:12 PM<\/td>\n                            <td style=\"\">Conference Paper<\/td>\n                            <td style=\"\">25\/11\/2025<\/td>\n                            <td style=\"\">Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Study<\/td>\n                            <td style=\"\">English<\/td>\n                            <td style=\"\">Sadrnezhaad, M., L\u00f3pez, J.A.H., M\u00e5rtensson, T., Varr\u00f3, D<\/td>\n                            <td style=\"\">Product-Focused Software Process Improvement (PROFES 2025), Salerno, Italy, December 1\u20133, 2025<\/td>\n                            <td style=\"\"><p>Quality assurance for large-scale cyber-physical systems relies on sophisticated test activities using complex test environments investigated with the help of numerous types of simulators. As these systems grow, extensive resources are required to develop and maintain simulation models of hardware and software components, as well as physical environments. Meanwhile, recent advances in generative AI have led to tools that can produce executable test cases for software systems, offering potential benefits such as reducing manual efforts or increasing test coverage. However, the application of generative AI techniques to simulation-based testing of large-scale cyber-physical systems remains underexplored. To better understand this gap, this study captures practitioners\u2019 perspectives on leveraging generative AI, based on a cross-company workshop with six organizations. Our contribution is twofold: (1) detailed, experience-based insights into challenges faced by engineers, and (2) a research agenda comprising three high-priority directions: (a) AI-generated scenarios and environment models, (b) simulators and AI in CI\/CD pipelines, and (c) trustworthiness in generative AI for simulation. While participants acknowledged substantial potential, they also highlighted unresolved challenges. By detailing these issues, the paper aims to guide future academia-industry collaboration towards the responsible adoption of generative AI in simulation-based testing.<\/p>\n<div id=\"simple-translate\" class=\"simple-translate-system-theme\">\n<div>\n<div class=\"simple-translate-button isShow\" style=\"height: 22px;width: 22px;top: 60px;left: 177px\">\u00a0<\/div>\n<div class=\"simple-translate-panel \" style=\"width: 300px;height: 200px;top: 0px;left: 0px;font-size: 13px\">\n<div class=\"simple-translate-result-wrapper\" style=\"overflow: hidden\">\n<div class=\"simple-translate-move\">\u00a0<\/div>\n<div class=\"simple-translate-result-contents\">\n<p class=\"simple-translate-result\" dir=\"auto\">\u00a0<\/p>\n<p class=\"simple-translate-candidate\" dir=\"auto\">\u00a0<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/td>\n                            <td style=\"\"><p><strong>Conference CORE rank:<\/strong> B<\/p>\n<p><strong>Conference acceptance rate:<\/strong> 37% (The Research Papers track received 62 submissions, of which 23 papers were accepted as full research papers.)<\/p><\/td>\n                            <td style=\"\">Generative AI, Cyber-physical system, Simulation, Test environment<\/td>\n                            <td style=\"\"><a href='<p><a href=\"https:\/\/conf.researchr.org\/details\/profes-2025\/profes-2025-research-papers\/13\/Generative-AI-in-Simulation-Based-Test-Environments-for-Large-Scale-Cyber-Physical-Sy\"><strong>Presentation<\/strong><\/a><\/p>\n<p><a href=\"https:\/\/doi.org\/10.1007\/978-3-032-12089-2_13\"><strong>DOI<\/strong><\/a><\/p>' rel='' target='_self'><p><a href=\"https:\/\/conf.researchr.org\/details\/profes-2025\/profes-2025-research-papers\/13\/Generative-AI-in-Simulation-Based-Test-Environments-for-Large-Scale-Cyber-Physical-Sy\"><strong>Presentation<\/strong><\/a><\/p>\n<p><a href=\"https:\/\/doi.org\/10.1007\/978-3-032-12089-2_13\"><strong>DOI<\/strong><\/a><\/p><\/a><\/td>\n                    <\/tr>\n                            <tr id=\"table_1_row_1\"\n            data-row-index=\"1\">\n                            <td style=\"\">2<\/td>\n                            <td style=\"\">smmsadrnezh<\/td>\n                            <td style=\"\">25\/11\/2025 05:51 PM<\/td>\n                            <td style=\"\">smmsadrnezh<\/td>\n                            <td style=\"\">25\/11\/2025 07:45 PM<\/td>\n                            <td style=\"\">MSc Thesis<\/td>\n                            <td style=\"\">05\/09\/2022<\/td>\n                            <td style=\"\">Using empirical data to support technology selection in software architecture decision-making<\/td>\n                            <td style=\"\">Persian<\/td>\n                            <td style=\"\">Sadrnezhaad, M.<\/td>\n                            <td style=\"\">Shahid Beheshti University<\/td>\n                            <td style=\"\"><p>A popular research area in recent years has been mining software repositories of reliable free\/open-source software projects to harness the crowd\u2019s wisdom. Due to the growing number of available technologies, selecting an appropriate one has become a challenge for software architects. So, building a recommender system is a suitable solution for supporting architects in technology selection. For building these systems, researchers use a variety of machine learning methods. However, the quality and size of the project have not been examined. Additionally, their recommendations do not perform well enough considering the recent advancements in deep learning algorithms, and they have the cold start problem. In this study, two recommender systems are developed once quality data is extracted. The first is a deep learning-based recommender called DeepLibAide, while the second is a content-based recommender called ContentLibAide, and a hybrid recommender that solves the cold start problem. Furthermore, we compare the results of their implementation on different samples based on different levels of project quality. DeepLibAide shows significant improvement in the criteria of accuracy, recall, and normalized cumulative gain and training loss with respect to the baseline method. This is because it uses the linear activation function, removing feature transformation and summing the embedding vectors of different layers. A dataset containing only high-quality projects and a dataset containing a random sample of projects were compared for precision and recall. On average, DeepLibAide improves recall criteria by 7 percent. Throughout the pipeline architecture, raw input data is extracted or updated, samples are built, and models are trained. Several parameters are used in the pipeline, and recommendations are stored. After that, various diagrams are used to evaluate and compare them with the baseline method. It is possible to execute the entire program automatically and with negligible overhead.<\/p><\/td>\n                            <td style=\"\"><p><strong>Supervisor:<\/strong> Sadegh Aliakbary<\/p>\n<p><strong>Opponent:<\/strong> Hasan Haghighi<\/p><\/td>\n                            <td style=\"\">Technology Selection, Recommender System, Deep Learning, Software Library, Dataset Extraction<\/td>\n                            <td style=\"\"><a href='<a href=\"\/wp-content\/uploads\/2025\/11\/Thesis_Beheshti.pdf\" target=\"_blank\" rel=\"noopener\">PDF File<\/a>' rel='' target='_self'><a href=\"\/wp-content\/uploads\/2025\/11\/Thesis_Beheshti.pdf\" target=\"_blank\" rel=\"noopener\">PDF File<\/a><\/a><\/td>\n                    <\/tr>\n            <\/tbody>        <!-- \/Table body -->\n\n        <!-- Table footer -->\n        \n    <tfoot>\n                <tr >\n                            <td\n                class=\"wdtheader sort numdata integer \"\n                style=\"\"><\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\"><\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\"><\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\"><\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\"><\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\">Type<\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\">Date<\/td>                <td\n                class=\"wdtheader sort \"\n                style=\"\">Title<\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\">Language<\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\">Authors<\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\">Venue<\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\"><\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\">Notes<\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\">Keywords<\/td>                <td\n                class=\"wdtheader  \"\n                style=\"\">Links<\/td>        <\/tr>\n                            <\/tfoot>\n        <!-- \/Table footer -->\n    <\/table>\n\n<\/div><style>\ntable.wpDataTable { table-layout: fixed !important; }\ntable.wpDataTable td, table.wpDataTable th { white-space: normal !important; }\ntable.wpDataTable td.numdata { text-align: right !important; }\n<\/style>\n<style>\n.wpdt-c .wpDataTable tr:nth-child(even),\n.wpdt-c .wpDataTable tr:nth-child(odd) {\n    color: inherit !important;\n}<\/style>\n\n<\/div><\/section><\/div>\n<div  class='flex_column av-gqrf7-ee313acf1d78f1963176d056fa928395 av_three_fourth  avia-builder-el-3  el_after_av_one_full  el_before_av_one_fourth  first flex_column_div  column-top-margin'     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-bv5nv-b1b3600ae5d26c1edf4578b7c4ec9e70\">\n#top .av-special-heading.av-bv5nv-b1b3600ae5d26c1edf4578b7c4ec9e70{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-bv5nv-b1b3600ae5d26c1edf4578b7c4ec9e70 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-bv5nv-b1b3600ae5d26c1edf4578b7c4ec9e70 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-bv5nv-b1b3600ae5d26c1edf4578b7c4ec9e70 av-special-heading-h3  avia-builder-el-4  el_before_av_timeline  avia-builder-el-first '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Research Experience<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lzh8oo18-6159e154d19a959ac5d64bd594f7b2c0\">\n.avia-timeline-container.av-lzh8oo18-6159e154d19a959ac5d64bd594f7b2c0 .av-milestone-date{\ncolor:#4ecac2;\n}\n<\/style>\n<div  id=\"avia-timeline-1\"  class='avia-timeline-container av-lzh8oo18-6159e154d19a959ac5d64bd594f7b2c0 av-slideshow-ui  avia-builder-el-5  el_after_av_heading  avia-builder-el-last ' ><ul class='avia-timeline avia-timeline-vertical av-milestone-placement-left avia-timeline- avia_animate_when_almost_visible avia-timeline-animate'>\n<li  class='av-milestone av-miex9dvj-d200f1200a4560e61f2dacb5d6dbbe4d av-animated-generic fade-in av-milestone-valign-baseline av-milestone-odd'><h2 class='av-milestone-date ' id='milestone-oct-2024-now' ><strong>Oct 2024 Now<span class='av-milestone-indicator'><\/span><\/strong><\/h2><div class=\"av-milestone-icon-wrap\"><span class='av-milestone-icon milestone_icon avia-font-svg_entypo-fontello'><span class='av-milestone-icon-inner milestone_inner'><i class='milestone-char avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='book' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22\" height=\"32\" viewBox=\"0 0 22 32\" preserveAspectRatio=\"xMidYMid meet\" aria-labelledby='av-svg-title-1' aria-describedby='av-svg-desc-1' role=\"graphics-symbol\">\n<title id='av-svg-title-1'>Book<\/title>\n<desc id='av-svg-desc-1'>Book<\/desc>\n<path d=\"M21.824 8.192q0.576 0.256 0.576 0.896v17.984q0 0.448-0.384 0.8t-0.896 0.352q-1.472 0-1.472-1.152v-16.704q0-0.384-0.384-0.576l-12.928-6.912q-1.024-0.32-2.176 0.32-1.408 0.64-1.792 1.408l13.056 7.296q0.576 0.256 0.576 0.896v17.6q0 0.704-0.576 0.896-0.192 0.128-0.512 0.128-0.448 0-0.64-0.128-0.256-0.192-6.464-4.064t-6.784-4.192q-0.832-0.576-0.832-1.088l-0.192-16.768q0-0.896 0.448-1.664 0.896-1.472 3.264-2.464t3.712-0.288z\"><\/path>\n<\/svg><\/i><\/span><\/span><\/div><article class='av-milestone-content-wrap'><div class='av-milestone-contentbox'><header class=\"entry-content-header\" aria-label=\"Milestone: Complex Software-Intensive Systems Research Group\"><h4 class='av-milestone-title '>Complex Software-Intensive Systems Research Group<\/h4><\/header><div class='av-milestone-content'><p><span id=\"biography-value\" class=\"mat-subtitle-2\">Link\u00f6ping University<\/span><\/p>\n<div id=\"simple-translate\" class=\"simple-translate-system-theme\">\n<div>\n<div class=\"simple-translate-button isShow\" style=\"background-image: url('moz-extension:\/\/ca03a4f8-077d-4206-b9d9-884b0f8972ea\/icons\/512.png'); height: 22px; width: 22px; top: 118px; left: 323px;\"><\/div>\n<div class=\"simple-translate-panel \" style=\"width: 300px; height: 200px; top: 0px; left: 0px; font-size: 13px;\">\n<div class=\"simple-translate-result-wrapper\" style=\"overflow: hidden;\">\n<div class=\"simple-translate-move\" draggable=\"true\"><\/div>\n<div class=\"simple-translate-result-contents\">\n<p class=\"simple-translate-result\" dir=\"auto\">\n<p class=\"simple-translate-candidate\" dir=\"auto\">\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><footer class='av-milestone-article-footer entry-footer'><\/footer><\/article><\/li>\n<li  class='av-milestone av-3so2t-3e78983b94ff4f58b5444a32b71cffb7 av-animated-generic fade-in av-milestone-valign-baseline av-milestone-even'><h2 class='av-milestone-date ' id='milestone-jul-2020-oct-2022' ><strong>Jul 2020 Oct 2022<span class='av-milestone-indicator'><\/span><\/strong><\/h2><div class=\"av-milestone-icon-wrap\"><span class='av-milestone-icon milestone_icon avia-font-entypo-fontello'><span class='av-milestone-icon-inner milestone_inner'><i class='milestone-char avia-iconfont avia-font-entypo-fontello' data-av_icon='\ue84f' data-av_iconfont='entypo-fontello' ><\/i><\/span><\/span><\/div><article class='av-milestone-content-wrap'><div class='av-milestone-contentbox'><header class=\"entry-content-header\" aria-label=\"Milestone: Data Oriented Research for Software Analytics Lab, Shahid Beheshti University\"><h4 class='av-milestone-title '>Data Oriented Research for Software Analytics Lab, Shahid Beheshti University<\/h4><\/header><div class='av-milestone-content'><p>Graduate Researcher<\/p>\n<p><strong>Supervisor:<\/strong> <a href=\"http:\/\/facultymembers.sbu.ac.ir\/aliakbary\/\" target=\"_tab\">Dr. Sadegh Aliakbary<\/a><br \/>\n<strong>Thesis Title:<\/strong> Using empirical data to support technology selection in software architecture decision-making<\/p>\n<p><strong>Projects and Publications:<\/strong><br \/>\nI haven&#8217;t published any articles yet, but I&#8217;m working on finishing and publishing some of my projects.<\/p>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-75d2or-454aeb5e8c9f5a44a797765a83fc6b74\">\n.avia-progress-bar-container.av-75d2or-454aeb5e8c9f5a44a797765a83fc6b74 .progress{\nheight:10px;\n}\n<\/style>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-sub-av-75d2or-454aeb5e8c9f5a44a797765a83fc6b74\">\n#top .avia-progress-bar-container .avia-progress-bar.av-723nu3-2c30b6b6cd817c3f849b1aedfb68c2e2 .bar{\nwidth:100%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-onvzf-818bafb91b1abe784241b48ceecf7ec5 .bar{\nwidth:91%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-6offxf-e24d52ea4cf019e2c3abb03a7b239064 .bar{\nwidth:78%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-njrjf-2b45139d8f67f146a86bbdca5ca9ed9e .bar{\nwidth:23%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-njrjf-6-91bbca4d16fdacdcf3d81f2273838af5 .bar{\nwidth:23%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-njrjf-5-8dcfb351391110d5aa1a89a5ebcd8902 .bar{\nwidth:23%;\nbackground:#555;\n}\n<\/style>\n<div  class='avia-progress-bar-container av-75d2or-454aeb5e8c9f5a44a797765a83fc6b74 av-flat-bar av-animated-bar av-small-bar avia_animate_when_almost_visible  avia-builder-el-6  el_before_av_progress  avia-builder-el-first '><div class='avia-progress-bar av-723nu3-2c30b6b6cd817c3f849b1aedfb68c2e2 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>Deep Learning<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='100'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='100'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-onvzf-818bafb91b1abe784241b48ceecf7ec5 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>Hybrid Recommender System<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='91'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='91'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-6offxf-e24d52ea4cf019e2c3abb03a7b239064 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>Google Colab<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='78'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='78'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-2b45139d8f67f146a86bbdca5ca9ed9e icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>Google BigQuery<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-6-91bbca4d16fdacdcf3d81f2273838af5 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>Google Data Studio<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-5-8dcfb351391110d5aa1a89a5ebcd8902 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>GitHub Public Datasets<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><footer class='av-milestone-article-footer entry-footer'><\/footer><\/article><\/li>\n<li  class='av-milestone av-3so2t-3-01a54bd65d9742495933855d893b294d av-animated-generic fade-in av-milestone-valign-baseline av-milestone-odd'><h2 class='av-milestone-date ' id='milestone-sep-2016-jul-2018' ><strong>Sep 2016 Jul 2018<span class='av-milestone-indicator'><\/span><\/strong><\/h2><div class=\"av-milestone-icon-wrap\"><span class='av-milestone-icon milestone_icon avia-font-entypo-fontello'><span class='av-milestone-icon-inner milestone_inner'><i class='milestone-char avia-iconfont avia-font-entypo-fontello' data-av_icon='\ue84f' data-av_iconfont='entypo-fontello' ><\/i><\/span><\/span><\/div><article class='av-milestone-content-wrap'><div class='av-milestone-contentbox'><header class=\"entry-content-header\" aria-label=\"Milestone: Intelligent Software Engineering Lab, Sharif University of Technology\"><h4 class='av-milestone-title '>Intelligent Software Engineering Lab, Sharif University of Technology<\/h4><\/header><div class='av-milestone-content'><p>Undergraduate Research Assistant<\/p>\n<p><strong>Supervisor:<\/strong> <a href=\"http:\/\/ise.ce.sharif.ir\/director\/\" target=\"_tab\">Dr. Abbas Heydarnoori<\/a><br \/>\n<strong>Area of Research:<\/strong> Data collection and empirical study of GitHub repositories public data<\/p>\n<p><strong> Projects and Publications:<\/strong><br \/>\nI participated in programming parts of the <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10664-018-9648-z\" target=\"_tab\">Cross-project code clones in the GitHub<\/a> article, and you can find my name in the acknowledgement section of it. I developed a tool to find and fix potential bugs in source code by clone detection with the history of GitHub projects. I developed a tool to find all commits with bugs fixed later in other commits. I developed a plugin for JetBrains IDE that records users&#8217; activities.<\/p>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-75d2or-10-38ff759d36dc74ed5adf1809fc62deb0\">\n.avia-progress-bar-container.av-75d2or-10-38ff759d36dc74ed5adf1809fc62deb0 .progress{\nheight:10px;\n}\n<\/style>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-sub-av-75d2or-10-38ff759d36dc74ed5adf1809fc62deb0\">\n#top .avia-progress-bar-container .avia-progress-bar.av-723nu3-2c30b6b6cd817c3f849b1aedfb68c2e2 .bar{\nwidth:100%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-onvzf-818bafb91b1abe784241b48ceecf7ec5 .bar{\nwidth:91%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-6offxf-e24d52ea4cf019e2c3abb03a7b239064 .bar{\nwidth:78%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-njrjf-2b45139d8f67f146a86bbdca5ca9ed9e 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.bar{\nwidth:23%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-njrjf-2-5516d6b0f38fdd6ce13aaa4869bf78bc .bar{\nwidth:23%;\nbackground:#555;\n}\n#top .avia-progress-bar-container .avia-progress-bar.av-njrjf-1-6257ea5afd02960481df667defb98fba .bar{\nwidth:23%;\nbackground:#555;\n}\n<\/style>\n<div  class='avia-progress-bar-container av-75d2or-10-38ff759d36dc74ed5adf1809fc62deb0 av-flat-bar av-animated-bar av-small-bar avia_animate_when_almost_visible  avia-builder-el-7  el_after_av_progress  avia-builder-el-last '><div class='avia-progress-bar av-723nu3-9-68baa47f582c6b9d6b9500e5e4bba690 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>pygit2<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='100'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='100'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-onvzf-8-dca9c4a4fd02dbccab66818c3a37edf4 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>gensim<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='91'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='91'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-6offxf-7-44e893a8fedb566876722b0439ce8774 icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>nltk<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='78'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='78'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-4-3280be4005965be758a910e544fe16ce icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>GHTorrent<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-3-b8577ed16e436ccb0c0fa3b73a487bca icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>code clone detection<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-2-5516d6b0f38fdd6ce13aaa4869bf78bc icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>JGit<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><div class='avia-progress-bar av-njrjf-1-6257ea5afd02960481df667defb98fba icon-bar-no blue-bar icon-bar-no'><div class=\"progressbar-title-wrap\"><div class=\"progressbar-icon\"><span class='progressbar-char avia-iconfont avia-font-entypo-fontello' data-av_icon='' data-av_iconfont='entypo-fontello' ><\/span><\/div><div class='progressbar-title'>JetBrains Plugin<\/div><\/div><div class=\"progressbar-percent\" data-timer=\"2200\"><span class='av-bar-counter __av-single-number' data-number='23'>0<\/span>%<\/div><div class=\"progress\"><div class=\"bar-outer\"><div class='bar' data-progress='23'><\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><footer class='av-milestone-article-footer entry-footer'><\/footer><\/article><\/li>\n<\/ul><\/div><\/p><\/div>\n<div  class='flex_column av-6o8hv-7fa56969092d301d361171d3ccf83557 av_one_fourth  avia-builder-el-8  el_after_av_three_fourth  avia-builder-el-last  flex_column_div  column-top-margin'     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mhklh8r8-b38cbe851dc53b07d8f76fe746c498d6\">\n#top .av-special-heading.av-mhklh8r8-b38cbe851dc53b07d8f76fe746c498d6{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-mhklh8r8-b38cbe851dc53b07d8f76fe746c498d6 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-mhklh8r8-b38cbe851dc53b07d8f76fe746c498d6 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-mhklh8r8-b38cbe851dc53b07d8f76fe746c498d6 av-special-heading-h3  avia-builder-el-9  el_before_av_catalogue  avia-builder-el-first '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Research Interests<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n<div  class='av-catalogue-container av-lzhs2t2m-f02c98a8895e4ec5403ca4a83ce3a6e5  avia-builder-el-10  el_after_av_heading  el_before_av_heading '><ul class='av-catalogue-list'>\n<li><div class='av-catalogue-item av-lzhs2rhh-e3670a8edabaf005446a0d10602155ec' ><div class=\"av-catalogue-item-inner\"><div class=\"av-catalogue-title-container\"><div class='av-catalogue-title'>Software Architecture<\/div><div class='av-catalogue-price'><\/div><\/div><div class=\"av-catalogue-content\">\n<h6 class=\"card-subtitle mb-2 text-muted display-6 card-title fs-6 heading-combo heading-d6-combo\">Architectural Decision Making, Software Quality, Patterns<\/h6>\n<p class=\"card-text\">I am passionate about maintainability in code and application architecture because, as a software developer, I see how the complexity of software gets out of control if we do not invest enough in its quality and use best practices and engineering methods from the beginning.<\/p>\n<\/div><\/div><\/div><\/li>\n<li><div class='av-catalogue-item av-mi3b0s1i-ea2c3541da8f8e01ed7e49cd6d99ecd7' ><div class=\"av-catalogue-item-inner\"><div class=\"av-catalogue-title-container\"><div class='av-catalogue-title'>Artificial Intelligence<\/div><div class='av-catalogue-price'><\/div><\/div><div class=\"av-catalogue-content\">\n<h6>Agentic AI, LLMs, Recommender Systems<\/h6>\n<\/div><\/div><\/div><\/li>\n<li><div class='av-catalogue-item av-mi3b080c-f088a49fc159c3d7ab36246e970c5316' ><div class=\"av-catalogue-item-inner\"><div class=\"av-catalogue-title-container\"><div class='av-catalogue-title'>Cyber-Physical Systems<\/div><div class='av-catalogue-price'><\/div><\/div><div class=\"av-catalogue-content\">\n<h6>Complex large-scale and safety-critical systems, Multi-disciplinary simulations<\/h6>\n<\/div><\/div><\/div><\/li>\n<li><div class='av-catalogue-item av-lzhs6dlf-8e60030d4047004adc3ca063ecf89cad' ><div class=\"av-catalogue-item-inner\"><div class=\"av-catalogue-title-container\"><div class='av-catalogue-title'>Empirical Software Engineering<\/div><div class='av-catalogue-price'><\/div><\/div><div class=\"av-catalogue-content\">\n<h6 class=\"card-subtitle mb-2 text-muted display-6 card-title fs-6 heading-combo heading-d6-combo\">Ontology Engineering, Mining Software Repositories, Tools and Technologies<\/h6>\n<\/div><\/div><\/div><\/li>\n<li><div class='av-catalogue-item av-lzhs61fj-146d23c6622323ca939aa312d18a644e' ><div class=\"av-catalogue-item-inner\"><div class=\"av-catalogue-title-container\"><div class='av-catalogue-title'>Human Aspects of Software Engineering<\/div><div class='av-catalogue-price'><\/div><\/div><div class=\"av-catalogue-content\">\n<h6 class=\"card-subtitle mb-2 text-muted display-6 card-title fs-6 heading-combo heading-d6-combo\">Processes and Methodology Engineering, Cognitive Biases, Team Productivity and Leadership<\/h6>\n<\/div><\/div><\/div><\/li>\n<\/ul><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mig36kjr-3111b9dba9de9a797fbfcb2690de69e6\">\n#top .av-special-heading.av-mig36kjr-3111b9dba9de9a797fbfcb2690de69e6{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-mig36kjr-3111b9dba9de9a797fbfcb2690de69e6 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-mig36kjr-3111b9dba9de9a797fbfcb2690de69e6 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-mig36kjr-3111b9dba9de9a797fbfcb2690de69e6 av-special-heading-h3  avia-builder-el-11  el_after_av_catalogue  el_before_av_catalogue '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Scientific Reviewing<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n<div  class='av-catalogue-container av-mig33qyv-25fe63fd0e4d82d7c3536cc528c502d5  avia-builder-el-12  el_after_av_heading  avia-builder-el-last '><ul class='av-catalogue-list'>\n<li><div class='av-catalogue-item av-mig33opl-994cf5af06c13557ff3987bc8aaa98cd' ><div class=\"av-catalogue-item-inner\"><div class=\"av-catalogue-title-container\"><div class='av-catalogue-title'>May 2025<\/div><div class='av-catalogue-price'><\/div><\/div><div class=\"av-catalogue-content\">\n<h6 class=\"card-subtitle mb-2 text-muted display-6 card-title fs-6 heading-combo heading-d6-combo\">41st International Conference on Logic Programming (ICLP 2025)<\/h6>\n<p class=\"card-text\">External Reviewer (<a href=\"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/C9EA40596225CFCD5EC7AA450D831F6E\/S147106842510032Xa.pdf\/introduction-to-the-41dollarstdollar-international-conference-on-logic-programming-special-issue.pdf\">Introduction to the 41st International Conference on Logic Programming Special Issue<\/a>) (DOI: <a class=\"app-link app-link__text app-link--accent\" href=\"https:\/\/doi.org\/10.1017\/S147106842510032X\" target=\"_blank\" rel=\"noopener\" data-v-63dfaf6e=\"\" data-v-7010c528=\"\"><span class=\"text\" data-v-63dfaf6e=\"\">https:\/\/doi.org\/10.1017\/S147106842510032X<\/span><\/a>)<\/p>\n<\/div><\/div><\/div><\/li>\n<\/ul><\/div><\/p><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":598,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-451","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/pages\/451","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/comments?post=451"}],"version-history":[{"count":97,"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/pages\/451\/revisions"}],"predecessor-version":[{"id":1087,"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/pages\/451\/revisions\/1087"}],"up":[{"embeddable":true,"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/pages\/598"}],"wp:attachment":[{"href":"https:\/\/smm.sadrn.com\/en\/wp-json\/wp\/v2\/media?parent=451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}