Aniruddha Perumalla

Aniruddha Perumalla

Ph.D. Candidate in Aerospace Engineering

Pennsylvania State University

Profile

I am a Ph.D. candidate in aerospace engineering at Pennsylvania State University, University Park (PSU). I am a research assistant in the PSU UAS Research Laboratory (PURL), which is directed by my advisor, Prof. Eric N. Johnson.

My interests are at the intersection of computer vision, image processing, and aerospace engineering, particularly in vision techniques for unmanned aerial vehicles (UAVs).

Interests
  • Unmanned Aerial Vehicles
  • Autonomy
  • Computer Vision & Image Processing
  • Machine Learning
  • Data Science
  • Software Development
Education
  • Ph.D. in Aerospace Engineering, 2019 – Present

    Pennsylvania State University, University Park (PSU)

  • M.S. in Aerospace Engineering, 2019 – 2023

    Pennsylvania State University, University Park (PSU)

  • B.S. in Aerospace Engineering, 2015 – 2019

    University of Maryland, College Park (UMD)

Please click the headers of each experience for a more in-depth description of my work in that role!
 
 
 
 
 
Co-Founder
May. 2024 – Present State College, Pennsylvania
 
 
 
 
 
Consultant
Sep. 2025 – Feb. 2026 Iselin, New Jersey (Remote)

Built a Python codebase that synthesizes variety of computer vision and machine learning algorithms to:

  • Automatically detect and extract geometric and text information from a large dataset of 2D civil engineering plans
  • Compile the information into a database that can be relayed to other AI tools in the pipeline
  • Check for errors and defects in the plan
 
 
 
 
 
Jun. 2019 – Aug. 2019 Oak Ridge, Tennessee
  • Learned about model-free control
  • Simulated the application of a control scheme based on model-free control to building HVAC systems
  • Trained neural networks to predict the efficiency of such a control scheme for a given set of environmental parameters (power supply and external temperature)
 
 
 
 
 
Jun. 2018 – Aug. 2018 Berthoud, Colorado
  • Designed system that used controller to automate measurements of flow coefficient for a variety of valves used in Ursa Major’s “Hadley” rocket engine.
  • Completed flow quality testing of valves used in rocket engines using digital flowmeters and pressure transducers.
 
 
 
 
 
Oct. 2016 – Mar. 2018 College Park, Maryland
  • Created a detailed inventory of files and converted files from paper to digital format.
  • Assisted in moving many shelves of files to a new office.
  • Under limited resources, developed a new digital organizational system to completely reorganize a large, outdated, and heterogeneous collection of paper records.
 
 
 
 
 
Jun. 2017 – Aug. 2017 Patuxent River, Maryland
  • Investigated why test pilot training aircraft were requiring longer distances to land than the distances expected in the corresponding flight manual data.
  • Developed MATLAB scripts to calculate and generate time series plots of flight parameters for given descent conditions.
 
 
 
 
 
Jun. 2016 – Aug. 2016 Hyderabad, India
  • Applied data analysis techniques (e.g., Tableau visualization and machine learning) to generate insights about a collection of telecom data.
  • Used ARIMA modeling, ANOVA, and logistic regression (in R) to analyze influence of rainfall and gold prices on GDP.
  • Examined patterns in Dallas crime data through the application of k-means clustering.

Research

I am a graduate research assistant in the PSU UAS Research Laboratory (PURL), which is directed by my advisor, Prof. Eric N. Johnson.

Skills

Guidance, Navigation, Control

  • Kalman filtering
  • Linear systems theory
  • Optimal control
  • Adaptive control
  • System identification
  • Computer vision / Image processing
  • Collision avoidance

C|C++ (Embedded Programming)

  • CUDA
  • NVIDIA Jetson
  • Raspberry Pi
  • Arduino
  • Robot Operating System (ROS)
  • CMake

MATLAB

  • Simulink
  • Data visualization
  • Neural networks
  • Image processing

Python

  • Data visualization (matplotlib)
  • Mathematics (numpy)
  • AI / Machine learning (PyTorch, TensorFlow)
  • Computer vision / Image processing (OpenCV)

JavaScript

  • React
  • Next.js
  • TypeScript

SQL

  • Queries
  • Maintenance

R

  • Data Visualization (ggplot2)
  • “Tidy” Programming (tidyverse)
  • Web Scraping

Computer Aided Design

  • Siemens NX
  • Autodesk Inventor

Video Production

Personal

Activities

  • Since high school, I have been actively involved in quizbowl, an academic trivia competition contested by thousands of players across the country and on topics ranging from literature and science to art and geography.
  • I served as the president of Penn State Quizbowl from 2022 to 2026. While I was at the University of Maryland, I was a member of the Maryland Academic Quiz Team (MAQT).
  • I have created open-source software widely used by the quizbowl community; I co-developed and maintain the Buzzpoints and Playtesting Bot tools used daily by quizbowl writers across the US, UK, and Canada.
  • I have written questions for tournaments at the high school level (for National Academic Quiz Tournaments (NAQT)) and collegiate level (for the Academic Competition Federation (ACF)). I was one of ACF’s two head editors for the production of the 2025 Regionals question set.

Hobbies

  • I am an avid fan of soccer and cricket, following both sports regularly. In addition, I enjoy playing racquetball and table tennis.

  • I am also interested in data analysis and visualization, particularly of soccer and cricket statistics. This used developing soccer statistic analysis programs as a fun way to teach myself the programming language .