PhD, Computer Science, Purdue University In progress
MS, Computer Science, Purdue University December 2021
BS, Computer Science, Purdue University May 2018
Dr. Marcel F. Neuts Memorial Award, Purdue University 2025
Computer Science Graduate Teaching Award, Purdue University 2022
[Pr6] Daniel Xie, Maxwell J. Jacobson, Adil Wazeer, Haiyan Wang, Xinghang Zhang, Yexiang Xue
Reducing Hallucinations in LLM-based Scientific Literature Analysis Using Peer Context Outlier Detection.
Arxiv preprint, April 2026.
[pdf]
[Pr5] Maxwell J. Jacobson, Daniel Xie, Jackson Shen, Adil Wazeer, Haiyan Wang, Xinghang Zhang, Yexiang Xue
A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization.
Arxiv preprint, April 2026.
[pdf]
[Pr4] Maxwell J. Jacobson, Corey J. Maley, Yexiang Xue
CALM: Contextual Analog Logic with Multimodality.
Arxiv preprint, June 2025.
[pdf]
[Pr3] Maxwell J. Jacobson, Yexiang Xue
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation.
Arxiv preprint, November 2023.
[pdf]
[J2] Maxwell J. Jacobson, Yexiang Xue
Integrating Symbolic Reasoning into Neural Generative Models for Design Generation.
In Artificial Intelligence, 339, 104257, 2025.
[pdf]
[arxiv]
[J1] Maxwell J. Jacobson, Mohammed El Masry, Daniella Chanci Arrubla, Maria Romeo Tricas, Surya C. Gnyawali, Xinyu Zhang, Gayle Gordillo, Yexiang Xue, Chandan K. Sen, Juan Wachs
Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence.
In Military Medicine, 188(Supplement_6), 674-681, 2023.
[pdf]
[C1] Maxwell J. Jacobson, Case Wright, Nan Jiang, Gustavo Rodriguez-Rivera, Yexiang Xue
Task Detection in Continual Learning via Familiarity Autoencoders.
In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022.
[pdf]
[O1] Maxwell J. Jacobson, Daniella Chanci Arrubla, Maria Romeo Tricas, Mohammed El Masry, Surya Gnyawali, Gayle Gordillo, Yexiang Xue, Chandan Sen, Juan Wachs
Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence.
In Military Health System Research Symposium (MHSRS), 2022.
[pdf]
Key:
[J] Journal Articles
[C] Conference Papers
[O] Other Non-Archival Talks/Posters
[Pr] Preprints
CS390: AI, Robotics, and Community Impact Fall 2025
This first-of-its-kind course explores how artificial intelligence and robotics can support and strengthen local communities through education, citizen science, and other areas of interest. Students spend much of the semester learning to mentor, and then mentoring, local middle school students in the FIRST LEGO League robotics program, applying their technical knowledge in direct service to youth STEM development. Students participate in local workshops where they help teach students to code robots and think like programmers. Alongside this work, the course connects undergraduates with Purdue AI and robotics faculty and investigates how AI and robotics can be used for community benefit.
CS390: Neural Image Processing Jan 2019 - 2022
This course is an introduction to neural networks studied through the lens of image processing. Lectures cover theoretical topics while labs apply these topics to a working ML system. Labs include neural nets from scratch, image classification and hyperparameter tuning, style transfer, image generation, and a final project of the student’s choice. My contribution to this class is as its founder. I created this course with the help of Gustavo Rodriguez-rivera and inspired by Fei-Fei Li and Andrej Karpathy’s course "CS231n: Convolutional Neural Networks for Visual Recognition".
CS252: Systems Programming Aug 2018 - 2021
This class covers the basics of systems programming including programming in a Unix environment and building large low-level projects such as a memory allocator, a shell, and a web server. My contribution is as a longtime TA. I help students, conduct lab lectures, and help organize the UTAs.
CS408: Software Testing Aug 2019 - Dec 2019
This course covers basic software testing concepts and procedures. I helped TA for this course for one semester. I helped manage several teams and gave extra guidance to a team building a reinforcement learning application.
Founder of The Purdue Neuro-Symbolic Intelligence Society 2024 - present
The Purdue Neuro-Symbolic Intelligence Society is a club that helps undergraduates learn about neuro-symbolic AI.
First Tech Challenge Mentor Aug 2014 - present
Throughout each semester of college, I volunteered with Central Catholic High School as a robotics club mentor. Over this time I taught my students skills like programming, design, teamwork, leadership, CAD, and basic electronics. I also spent two years as an officer for Purdue First Programs — a club that supports FTC teams in the area.
President of Society of Creative Roleplaying 2019-2020
I held the role of president for the Society of Creative Roleplaying at Purdue. I managed the club and handled scheduling.
Application Development Intern Summer 2015, Summer 2016
I worked for The Jacobson Group during the summers of 2015 and 2016. I completed a number of IT tasks and created an android prototype application to manage employee time cards. I also helped to build the front-end of the website, mostly working with HTML5 and CSS to create a good looking user interface.
AMBUSH November 2021 - 2022
A DoD funded project for autonomous burn wound analysis. Website here.
Doric, Prognet Library Spring 2020
Doric is a lightweight tool for implementing and extending progressive neural networks. It is a free and open-source library built atop PyTorch.
Poachnet, IBM-Funded IoT Project 2016 - 2018
Poachnet was a project aimed at protecting oyster farms from poachers and equipment thieves. We created a solar-powered apparatus using cameras to monitor near-shore oyster farms. We also used custom circuitry and an Arduino to directly monitor oyster farming equipment. I contributed to design, testing, device side scripting, and server side development.