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Professional Experience

Indiana University Intelligent Systems Engineering

Systems Engineer (2016-07-01 to present)

Developed machine learning framework for C standard library analysis
Managed RHEL and Ubuntu Virtual Machines (VMs) and Docker containers for autograder software-as-a-service (SaaS), serving hundreds of concurrent students across multiple courses in 2 departments
Built and maintained cluster, server, power, and switch infrastructure in a data center
Built 64-node Xilinx FPGA cluster with 40G network interconnects for high performance graph analytics
Merged 8-GPU cluster with 16-node CPU/FPGA cluster for hardware accelerated networking applications
Created curriculum and taught hundreds of students per year across 5 required courses and 1 elective
Assisted with ABET accreditation process

Indiana University Psychological and Brain Sciences

Electronics Engineer (2014-03-03 to 2016-06-30)

Developed novel MRI-safe touch screen technology resulting in US Patent 10820839B2
Created novel sensor devices for research: galvanic skin response tracking, eye tracking systems, brain-computer interfaces, haptic pressure sensing surfaces
Developed MRI-safe input devices and data acquisition interfaces
Designed microcontroller-based data acquisition devices with nanosecond resolution and hard-real time constraints (firmware written in C++), interfacing with commodity operating systems (Apple OSX, Windows)
Reconfigured extra space into combined electronics, woodworking, and machining shop with CNC mills, lathes, saws, PCB fabrication

Education

Indiana University Intelligent Systems Engineering, Computer Engineering PhD (2018-08-20 to present). Machine learning for obfuscated binary code analysis. Anticipated completion date: 2023-07-07.
Purdue University (IUPUI campus), BSEE (2010-05-11 to 2013-12-16). Electrical and Computer Engineering.

Publications

Shroyer, Alexander and Martin Swany. "Detecting Standard Library Functions in Obfuscated Code." Accepted for publication at IntelliSys2023.
Shroyer, Alexander and Martin Swany. "Data Augmentation for Code Analysis." (PDF) The Second International Symposium on Advanced Intelligent Systems for Cybersecurity (AISC2022).
Brasilino, Lucas RB, Naveen Marri, Alexander Shroyer, Catherine Pilachowski, Ezra Kissel, and Martin Swany. "In-network processing for edge computing with InLocus." International Journal of Cloud Computing 9, no. 1 (2020): 55-74.
Brasilino, Lucas RB, Alexander Shroyer, Naveen Marri, Saurabh Agrawal, Catherine Pilachowski, Ezra Kissel, and Martin Swany. "Data Distillation at the Network's Edge: Exposing Programmable Logic with InLocus." In 2018 IEEE International Conference on Edge Computing (EDGE), pp. 25-32. IEEE, 2018.
Arap, Omer, Lucas RB Brasilino, Ezra Kissel, Alexander Shroyer, and Martin Swany. "Offloading collective operations to programmable logic." IEEE Micro 37, no. 5 (2017): 52-60.

Patents

Electronic tablet for use in MRI. WO US CA US10820839B2, Indiana University of Research and Technology Corporation (2020).

This patent describes a system for recording visually guided motor activity using a touch-screen device within the bore of an fMRI machine while it conducts a brain scan. The device measures handwriting's impact on early brain development, described in detail here.

Teaching Experience at Indiana University

Engineering Computing Architecture E110 (2018 to present) primary instructor
Engineering Networks E318/E518 (2016 to present) co-instructor
Engineering Operating Systems E319/E519 (2016 to 2021) curriculum development
Engineering Ethics and Professionalism E299 (2019 to present) primary instructor
Software Systems Engineering E111 (2019 to 2021) co-instructor
Innovation and Design E101 (2016 to 2018) co-instructor
Python for Engineers E399/599 (2020 to present) primary instructor (elective)

Open Source Software

HDL Online (web application). Source Code.
Personal website. Source Code.
Advent of Code 2022 in K. Source Code.