{"id":483,"date":"2026-02-21T12:55:22","date_gmt":"2026-02-21T12:55:22","guid":{"rendered":"https:\/\/noondreams.com\/?page_id=483"},"modified":"2026-03-13T12:51:12","modified_gmt":"2026-03-13T12:51:12","slug":"cv","status":"publish","type":"page","link":"https:\/\/noondreams.com\/?page_id=483","title":{"rendered":"CV"},"content":{"rendered":"<div class=\"cv-wrap\">\n<p><strong>Mohammad Rahmani<\/strong><\/p>\n<table style=\"width: 99.8276%; height: 158px;\">\n<tbody>\n<tr style=\"height: 40px;\">\n<td style=\"height: 40px;\"><strong>E-mail<\/strong><\/td>\n<td style=\"height: 40px;\"><a href=\"mailto:mohammad.rahmani.xyz@gmail.com\">mohammad.rahmani.xyz@gmail.com<\/a><\/td>\n<\/tr>\n<tr style=\"height: 40px;\">\n<td style=\"height: 40px;\"><strong>Tel<\/strong><\/td>\n<td style=\"height: 40px;\"><a href=\"tel:+4367763676105\">+43 677 63676105<\/a><\/td>\n<\/tr>\n<tr style=\"height: 40px;\">\n<td style=\"height: 40px;\"><strong>Location<\/strong><\/td>\n<td style=\"height: 40px;\">Austria<\/td>\n<\/tr>\n<tr style=\"height: 38px;\">\n<td style=\"height: 38px;\"><strong>Links<\/strong><\/td>\n<td style=\"height: 38px;\"><strong><a href=\"#\" rel=\"noopener\">Website<\/a> \u00a0 <a href=\"#\" rel=\"noopener\">Github<\/a> \u00a0 <a href=\"#\" rel=\"noopener\">Linkedin<\/a> \u00a0 <a href=\"#\" rel=\"noopener\">X<\/a><\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h1><span style=\"font-size: 48px;\">Summary<\/span><\/h1>\n<p>Multi robot systems, ROS, AI and Swarm intelligence, Data science, machine learning and<br \/>\ncomputer vision, Sensor data fusion, statistical inference. Software engineering.<\/p>\n<h1><span style=\"font-size: 48px;\">Skills<\/span><\/h1>\n<ul>\n<li><strong>Programming &amp; Frameworks:<\/strong> C++, Python, ROS, MAVROS, Gazebo, CTU-MRS framework<\/li>\n<li><strong>UAV Systems &amp; Middleware:<\/strong> MAVLink, QGroundControl (QGC), PX4, ArduPilot<\/li>\n<li><strong>Probabilistic State Estimation:<\/strong> Dynamic Bayesian Networks (DBN), Kalman Filters, Particle Filters, Bayesian filtering<\/li>\n<li><strong>Computer Vision &amp; Perception:<\/strong> Visual SLAM, Visual Odometry, Sensor Fusion (LiDAR, GPS, IMU, camera)<\/li>\n<li><strong>Machine Learning:<\/strong> Autoencoders for dimensionality reduction, sequential modeling for novelty detection<\/li>\n<li><strong>Simulation &amp; Testing:<\/strong> UAV simulation in ROS\/Gazebo, leader\u2013follower and confined-space scenarios, unit testing (pytest, CI\/CD)<\/li>\n<li><strong>Embedded &amp; Real-Time Systems:<\/strong> UAV autopilot integration, embedded programming for sensor fusion and navigation<\/li>\n<li><strong>Collaboration &amp; Development:<\/strong> Git, Agile workflows, continuous integration, documentation in LaTeX<\/li>\n<\/ul>\n<h1><span style=\"font-size: 48px;\">Languages<\/span><\/h1>\n<p>English: IELTS 7.5, German: B2.1, French: C1, Persian: Native<\/p>\n<h1><span style=\"font-size: 48px;\">Education<\/span><\/h1>\n<h3><span style=\"font-size: 28px;\">PhD and Senior scientist candidate \u2014 Networked and Embedded Systems<\/span><\/h3>\n<p><strong>Klagenfurt University, Austria<\/strong><\/p>\n<p>Research topic: \u201cSelf-awareness in multi-robot systems\u201d. Developing an artificially intelligent framework<br \/>\nusing which multiple robots learn incrementally how to accomplish a task by building models from sensory<br \/>\ndata such as LIDAR and GPS sensors.<\/p>\n<h3><span style=\"font-size: 28px;\">Masters\u2019 \u2014 Computer Science<\/span><\/h3>\n<p><strong>Amirkabir University of Technology, 2013-2015<\/strong><\/p>\n<p>Modules included: Machine learning, Clustering, Image processing, Data Mining, Logic programming,<br \/>\nComputer Science Theory, Theory of Computer Systems. Average Score: 17\/20<\/p>\n<p><strong>Projects during master\u2019s:<\/strong><\/p>\n<ul>\n<li>Modeling Time Series By Means of Fuzzy Inference Systems, Advisor Prof. Dr. Adel Mohammadpour<\/li>\n<li>Tour Recommender System By Means of a Naive Bayes Classifier Driven Model, Advisor Prof. Dr. Adel Mohammadpour<\/li>\n<li>Trajectory Recommender System By Means of Multiple Linear Regression, Advisor Prof. Dr. Mehdi Ghatee<\/li>\n<li>Tour Driver Recommender System By Means of Decision Trees and Naive Bayes Classifier, Advisor Prof. Dr. Mohammad Ebrahim Shiri Ahmad Abady<\/li>\n<li>N-Queens Puzzle in Prolog Programming Language, Advisor Prof. Dr. Mohammad Ebrahim Shiri Ahmad Abady<\/li>\n<\/ul>\n<h3><span style=\"font-size: 28px;\">Bachelors\u2019 \u2014 Applied Mathematics in Computer Science<\/span><\/h3>\n<p><strong>Payam-e Noor University of Shiraz, 2001-2005<\/strong><\/p>\n<p>Modules included: Algebra, Linear Algebra, Discrete Mathematics, Graph Theory, Mathematical Analysis,<br \/>\nStatistics and Probability, Programming Concepts, Data structures, Data storage and Retrieval,<br \/>\nNumerical Analysis, Operations Research, Differential Equations, Stochastic Processes, Complex Functions,<br \/>\nTime Series. Average Score: 16\/20<\/p>\n<p><strong>Final Project:<\/strong> Complex Matrices and their applications. Supervisor Shams-al Moluk Khoshdel<\/p>\n<h1>Professional Experience<\/h1>\n<h3>Advanced AI researcher and engineer<\/h3>\n<p><strong>Graz university, Austria \u2014 2025-&#8230;<\/strong><\/p>\n<p>Develop multiple AI models to extract, classify and generate inference and provide visual interpretations.<br \/>\nTasks involve expertise from computer vision to work with different sensory data.<\/p>\n<h3>Senior data and sensor scientist<\/h3>\n<p><strong>Klagenfurt university, Austria \u2014 2020-&#8230;<\/strong><\/p>\n<p>Developed a framework that builds temporal models from multiple sensory data derived from multiple UAVs.<br \/>\nFirst used dynamic Bayesian networks to build temporal models for LIDAR and GPS sensory data mounted on two UAVs.<br \/>\nThen used deep learning tools such as LSTMs and CNNs and GANs. Used ROS and GAZEBO for simulation.<\/p>\n<h3>Senior data scientist and sensor scientist<\/h3>\n<p><strong>Lumetry diagnostic GMBH, Austria \u2014 2024-&#8230;<\/strong><\/p>\n<p>Developed deep and classical machine learning tools to diagnose Chronic Obstructive Pulmonary Disease (COPD)<br \/>\nand blood CO2 estimation with classification and regression methods using data derived from CO2 and flow sensors.<br \/>\nSuggested solutions achieved 98% for classification and 92% for regression.<\/p>\n<h3>Senior data scientist<\/h3>\n<p><strong>Mavoco IoT GMBH, Austria \u2014 2023-2024<\/strong><\/p>\n<p>Developed deep learning methods for automatic configuration of IoT tools using natural language.<br \/>\nConverted customer natural language input into suggested configurations. 98% of recommended configurations<br \/>\nmatched users&#8217; expectations.<\/p>\n<h3>Robotics researcher<\/h3>\n<p><strong>Rovira i Virgili university, Spain \u2014 2017-2020<\/strong><\/p>\n<p>Worked on EU Horizon 2020 project called GABLE. Used deep learning models for action prediction of disabled people<br \/>\nto control computer games and developed tools to automatically adjust game settings according to disability level<br \/>\n(e.g., object speed). Worked with Pepper robot (SoftBank): developed a machine vision tool to recognise actions<br \/>\n(e.g., waving) and wave back to motivate disabled people to perform physical exercises.<\/p>\n<p><strong>Projects:<\/strong><\/p>\n<ul>\n<li>Rehabibotics: using humanoid robots to convey rehabilitation therapies to Disabled People<\/li>\n<li>Enhancing Robot Therapy with Emotion Awareness for Kids with Developmental Disorders in Clinical Settings<\/li>\n<\/ul>\n<h3>Noon Dreams company<\/h3>\n<p><strong>Iran \u2014 2006-2016<\/strong><\/p>\n<p>Founded this company and developed AI tools including:<\/p>\n<ul>\n<li>A content management system recommending product pages using navigation history and user similarity.<\/li>\n<li>A project management framework learning and suggesting relevant tasks; automated the process of reserving a tour<br \/>\nas a project (flight\/hotel booking, tour guides\/drivers, itineraries), with ML-based recommendations.<\/li>\n<li>A system compiling energy consumption of building units and performing data analysis and visual graphs; applied<br \/>\nand modified data mining and ML to discover inconsistencies in provided data.<\/li>\n<li>Simulation of road ramps traffic using C++ programmed DLLs for VISSIM software.<\/li>\n<\/ul>\n<h3>Datis Data Publishing (Shiraz University)<\/h3>\n<p><strong>Iran \u2014 2006-2008<\/strong><\/p>\n<ul>\n<li>Development of educational games in which consciousness, attention and other cognitive factors of players were<br \/>\nmeasured and stored in a database for analysis.<\/li>\n<li>An educational software for mining into human organs using 3D images.<\/li>\n<\/ul>\n<h2>Publications<\/h2>\n<ol>\n<li>M. Rahmani, B. Rinner, <em>Anomaly detection in multi-robot systems exploiting self-awareness<\/em>, 2023, International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications, Athens, Greece<\/li>\n<li>M. Rahmani, B. Rinner, <em>Towards Self-Awareness in Multi-Robot Systems<\/em>, 2022, Austrian Robotics Workshop, Villach Austria<\/li>\n<li><em>Instant Measurement of the Difficulty Level of Exergames with Simple Uni-Dimensional Level Goals for Cerebral Palsy Players.<\/em> Conference: JCSG2018 &#8211; Joint Conference on Serious Games. Darmstadt, Germany<\/li>\n<\/ol>\n<\/div>\n<p>You download my full CV from here:<\/p>\n<a href=\"https:\/\/noondreams.com\/wp-content\/uploads\/2026\/02\/cv-uavs.pdf\" class=\"pdfemb-viewer\" style=\"\" data-width=\"max\" data-height=\"max\" data-toolbar=\"bottom\" data-toolbar-fixed=\"off\">cv-uavs<\/a>\n","protected":false},"excerpt":{"rendered":"<p>Mohammad Rahmani E-mail mohammad.rahmani.xyz@gmail.com Tel +43 677 63676105 Location Austria Links Website \u00a0 Github \u00a0 Linkedin \u00a0 X Summary Multi robot systems, ROS, AI and Swarm intelligence, Data science, machine learning and computer vision, Sensor data fusion, statistical inference. Software engineering. Skills Programming &amp; Frameworks: C++, Python, ROS, MAVROS, Gazebo, CTU-MRS framework UAV Systems &amp; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":30,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-483","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/noondreams.com\/index.php?rest_route=\/wp\/v2\/pages\/483","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/noondreams.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/noondreams.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/noondreams.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/noondreams.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=483"}],"version-history":[{"count":10,"href":"https:\/\/noondreams.com\/index.php?rest_route=\/wp\/v2\/pages\/483\/revisions"}],"predecessor-version":[{"id":533,"href":"https:\/\/noondreams.com\/index.php?rest_route=\/wp\/v2\/pages\/483\/revisions\/533"}],"wp:attachment":[{"href":"https:\/\/noondreams.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=483"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}