Khashayar Niki Maleki

Khashayar Niki Maleki Email and Phone Number

Researcher, Software Engineer, Neuroscience and Aviation Enthusiast @ Supernal
Khashayar Niki Maleki's Location
Irvine, California, United States, United States
Khashayar Niki Maleki's Contact Details

Khashayar Niki Maleki personal email

n/a
About Khashayar Niki Maleki

I am a Senior Flight Simulation Engineer and Entrepreneur, boasting a decade of expertise in Software Development, AI/ML, and Data Science. My portfolio includes more than seven years of hands-on experience in crafting fully autonomous robots and drones receiving recognition through international awards and honors. I've also cultivated strong leadership skills, exemplified by my track record of establishing and guiding two successful companies and multiple NGOs and associations.

Khashayar Niki Maleki's Current Company Details
Supernal

Supernal

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Researcher, Software Engineer, Neuroscience and Aviation Enthusiast
Khashayar Niki Maleki Work Experience Details
  • Supernal
    Sr. Flight Simulation Engineer
    Supernal Sep 2023 - Present
    Irvine, California, United States
  • The University Of Tulsa
    Phd Researcher
    The University Of Tulsa Jan 2017 - May 2023
    Tulsa, Oklahoma Area
    My research is focused on developing reliable autopilots for fully autonomous Unmanned Aerial Vehicles (UAVs) at Vehicle Autonomy and Intelligence Lab (VAIL) at The University of Tulsa in conjunction with NASA Armstrong Research Center.Lead Researcher at Vehicle Autonomy and Intelligence Lab (VAIL):- Designed and built reliable multi-rotor aircraft (quad and octa copters) test platforms for indoor navigation.- System Identification and Verification and Validation (V&V) of aircraft models.- Developed a simulation environment using Matlab-Simulink, Arducopter, and Unity platforms for software-in-the-loop and hardware-in-the-loop experiments.- Developed a localization server software; fusing multiple motion capture camera inputs using EKF, and transmitting it to target aircrafts.- Developed a control framework for flight control systems (FCS) to improve robustness and fault-tolerance of the aircraft. (patent pending)- Developed Multi Vehicle Collaboration using object detection, ad-hoc communication, and finite state machine. These tasks involve programming in C++, C#, Python, and Matlab. Requires certain knowledge of Math, Modern Control Theory, Artificial Intelligence, and aerospace engineering.
  • Xworks, Corporation
    Machine Learning Engineer
    Xworks, Corporation Jan 2020 - Feb 2021
    Jenks, Oklahoma, United States
    Designed, built, and deployed an end-to-end ML system for real-time object detection in Unmanned Aerial Vehicles (UAVs).
  • Pulseware, Llc
    Co-Founder, Cto
    Pulseware, Llc Jul 2009 - Aug 2013
    Tehran, Iran
    As the Chief Technology Officer of a startup company, I had many roles, including:- Lead a team of 4 that its primary job was to get high volume core banking (financial transaction) data from ORACLE databases or transaction files, to cleanse that data, transform, and load it to our databases, to apply custom-developed data mining tools on those data, and finally to generate results in form of routine reports and send them to our customers. To provide this service for our customers our team.- Created a system using C# and Matlab to semi-automate the whole process of the company’s reporting service which reduced the time of generating a report to 1/4 of its original time. - Developed an ETL application to get Very Large Size financial transaction data from ORACLE database or FTP servers, to cleanse the data, and to convert it to a proper format for analysis software using C++, and SSIS. - Contributed in developing a Data Analyzer software using MATLAB named CoreMiner to analyze, detect, and predict different aspects of financial transaction behaviors. - Directed team of 6 programmers responsible for developing, testing, and deploying the company’s software written in C#, Matlab, html, java script, and SQL. - Managed operation and maintenance of the company’s software at the customer’s local network. During this time, Mean Time Between Failure (MTBF) improved from 4 days to 60 days and Mean Time To Repair (MTTR) reduced from 2 hours to 15 minutes.- Obtained ITIL (Information Technology Infrastructure Library) certificate from IT Governance, UK.
  • Pishrobot Llc
    Researcher And Software Developer
    Pishrobot Llc Jun 2008 - Aug 2009
    Tehran, Iran
    - Developed a vision-based soccer-playing humanoid robot using C++ on CMUCAM 3. The robot was able to detect the ball, goal, and other players and could walk, stand up, and kick; This robot was utilized for training university students who planned to start learning humanoid robotics. - Built a Multi-Agent system using Java on JADE platform which simulates a virtual market, enabling researchers to design desired buy/sell scenarios, set numbers of the agents, and analyze the effects on the market.- Teaching Robotics and Linux.

Khashayar Niki Maleki Skills

Matlab C++ C# Java Linux Software Development Robotics Data Mining Project Management Business Intelligence Machine Learning Microsoft Sql Server Python Artificial Intelligence Business Analysis Start Ups Product Management Saas Strategy Data Warehousing

Khashayar Niki Maleki Education Details

Frequently Asked Questions about Khashayar Niki Maleki

What company does Khashayar Niki Maleki work for?

Khashayar Niki Maleki works for Supernal

What is Khashayar Niki Maleki's role at the current company?

Khashayar Niki Maleki's current role is Researcher, Software Engineer, Neuroscience and Aviation Enthusiast.

What is Khashayar Niki Maleki's email address?

Khashayar Niki Maleki's email address is ma****@****lsa.edu

What schools did Khashayar Niki Maleki attend?

Khashayar Niki Maleki attended University Of Tulsa, University Of Tulsa, Shahid Rajaee University.

What skills is Khashayar Niki Maleki known for?

Khashayar Niki Maleki has skills like Matlab, C++, C#, Java, Linux, Software Development, Robotics, Data Mining, Project Management, Business Intelligence, Machine Learning, Microsoft Sql Server.

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