Khoury Research Apprenticeship
Work alongside leading researchers in your field, explore your research interests, and pave a pathway to your future goals through the prestigious and unique Khoury Research Apprenticeship.
About the Khoury Research Apprenticeship opportunity
Started in 2019, the prestigious Khoury Research Apprenticeship is designed to provide current master’s students the opportunity to participate in relevant research opportunities while being mentored and supported by faculty advisors. The program, held in the fall and spring semesters, is an excellent way to explore your current research interests or help to pave a pathway to a future PhD when you complete your master’s.
Nomination process
Current faculty are encouraged to nominate students that they feel demonstrate both strong academic skills and have presented an outstanding affinity and talent for research. During this nomination process, faculty are asked to present proposals for research projects that apprenticeship recipients can participate in. Academic advisors are also welcomed to nominate students that they feel could be good candidates for the apprenticeship, or who have expressed an interest in becoming involved in research or continuing to Khoury College’s PhD program.
Once nominated, students can apply to the projects that they are interested in and will be interviewed by the corresponding faculty sponsors. A committee will review the faculty selections and the students’ chosen interest to determine final assignments.
The apprenticeship program played a big role in my decision to pursue a PhD. When I was nominated for the apprenticeship program, I neither had any prior research experience, nor did I intend on pursuing a PhD. The program gave me an opportunity to be involved in research in academia and interact with fellow grad students and faculty members
Satyajit Gokhale, PhD in Computer Science student
If you’re awarded an apprenticeship
Students who are awarded apprenticeships will register for the four-credit master’s course, funded by Khoury College, to begin their research work. At the end of the apprenticeship, students will have the opportunity to present their work to an audience of peers and faculty and highlight their findings.
Fall apprenticeship timeline
- Early May: Deadline for faculty proposals and student nominations
- Mid-May: Nominated students apply for apprenticeship
- End of May: Faculty interviews and ranks candidates
- Early June: Apprenticeship committee determines recipients and registration begins
Spring apprenticeship timeline
- Early November: Deadline for faculty proposals and student nominations
- Mid-November: Nominated students apply for apprenticeship
- End of November: Faculty interviews and ranks candidates
- December: Apprenticeship committee determines recipients and registration begins
Past Research Apprenticeship participants
Fall 2023 participants
Students who participated in the Fall 2023 Khoury Research Apprenticeship program, their projects, and their faculty advisors:
- Keerthana Velilani: Enriching Cross-Cultural Image Captioning with Generative AI and Human-in-the-Loop (Saiph Savage)
- Cecilia Lopez: Investigating Moderation Challenges to Combating Hate and Harassment: The Case of Mod-Admin Power Dynamics and Feature Misuse on Reddit and Other Platforms (Ada Lerner)
- Juan Diego Dumez Garcia: A Comprehensive Approach to 3D Scene Analysis and Visualization (Yvonne Coady)
- Ameya Santosh Gidh: Advancing Design Tools for Engineering Knitted Materials (Megan Hoffman)
- Leigh-Riane Amsterdam: VR Training For Interview Preparation: Understanding Challenges Faced By Underrepresented Groups (Caglar Yildirim)
- Ruochen Liu: Privacy and Censorship in Chinese Fandom (Ada Lerner)
- Lauryn Fluellen: Improved Speech Recognition for Impaired Speakers (Aachan Mohan)
- Subhankar Shah: A Metric Pseudo-Grid for High-Dimensional Similarity Search (Mario Nascimento)
- Abdulaziz Arif Suria: LLM driven human-like Non-Playable Characters (NPCs) in Virtual Reality (Mirjana Prpa)
- Shagun Saboo: From Paper to Pixel: Enhancing Handwritten Form Validation and Online Filling with Generative AI (Divya Chaudhary)
- Debankita Basu: Unveiling Digital Truths in Deepfake Detection with CNN and Transformer Models (Hongyang Zhang)
- Bereket Faltamo: MRI Image Segmentation For Musculoskeletal Model (Jeongkyu Lee)
- Zhiyuan Yang: Solar Panel Farms Mapping through Multispectral Satellite Imagery and Enhanced Swin Transformer Model (Ryan M. Rad)
- Mahvash Maghrab: Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing (Mohammad Toutiaee)
- Jiayi Lu: Redefining Roles: Adapting Doctor-AI Collaboration in Sepsis Diagnosis (Dakuo Wang)
- Tom Henehan: Is Globalization a One-Way Street? An inquiry using MNA (multiplexed network analysis) and M&A (Ravi Sundaram)
- Diptendu Kar: Evaluation of Large Language Models in Solving Cybersecurity Capture the Flag (CTF) Challenges (Jose Sierra)
- Jaiyi Zhou: Exploring Rewrite Rule Behavior Trees for Tile-based Games (Seth Cooper)
- Sumukhi Ganesan: Decoding Dropouts: Mapping Curricular Metrics to Student Attrition in CS Education (Albert Lionelle)
- Xiaoman Yang: The Use of Feedback and Its impact on Students’ Performance in Project-Based Courses: Instructors’ and Students’ perceptions (Oscar Veliz)
- Yanting Zheng: Evaluate Render Quality of (Mike Shah)
- Hantong Liu: A Unified Storage Platform for Heterogeneous Storage Devices (Ji-Yong Shin)
- Shuyi Lin: NN4SYSBENCH: CHARACTERIZING NEURAL NETWORK VERIFICATION FOR COMPUTER SYSTEMS (Cheng Tan)
- Siddharth Chakravorty: Investigation of Matter Standard Compliance in Vendor IoT Devices. (David Choffnes)
Spring 2023 participants
Students who participated in the Spring 2023 Khoury Research Apprenticeship program, their projects, and their faculty advisors:
- Weder Ribas: Representations of Reality Aerial NeRFs in Canadian Clouds (Yvonne Coady)
- Jose Lou (Notsky): The effect of feedback on a team’s performance, motivation, and results (Oscar Veliz)
- Swati Agarwal: GigSense (Saiph Savage)
- Ruohe Zhou: Segmentation and auto-labeling of insects’ legs using machine learning for DeepLabCut (Jeongkyu Lee)
- Xueyan Feng: Wide FOV HMD on Augment Memory, Perception, and Cognition (Clifton Forlines)
- Hritesh Sharad Sonawane: Attacks against congestion control algorithms (Cristina Nida-Rotaru)
- Divyadharshini Muruganandham: Analyzing conversational alignment and second language development with NLP (Tony Mullen)
- Kartik Sharma: What goes on the Internet stays on the Internet (Engin Kirda)
- Nidutt Bhuptani: Human-AI-NLP (Christoph Riedl)
- Zeyu Cui: Container storage game (Seth Cooper)
- Sumeet Sachdev: Multimodal User-level Models for Mental Health Applications on Social Media (Silvio Amir)
- Shubham Sonawane: Improving the Reproducibility of Open Source Software Artifact Datasets’ (Jonathan Bell)
- Tushita Gupta: Benchmarking of statistical methods for mass-spectrometry based proteomics (Olga Vitek)
- Pavan sai kumar Alladi: In-memory data store for Serverless functions (Ji-Yong Shin)
- William Rhodes: (Cheng Tan)
- Minyi Xu: Representations of Reality Aerial NeRFs in Canadian Clouds (Yvonne Coady)
Fall 2022 participants
Students who participated in the Fall 2022 Khoury Research Apprenticeship program, their projects, and their faculty advisors:
- Gerard Otalora Canovas: Designing an A.I. Interface to Empower Gig Workers (Saiph Savage)
- Kicho Yu: Data Localization Compliance with Internet Measurement about Companies in European Union (David Choffnes)
- Mino Reyes: Computer Vision and Rough 2D Maps for Navigation in Novel Environments (Lawson Wong)
- Brenden Collins: Running computational benchmarks for graph layout algorithms (Cody Dunne)
- Tim Swierzewski: Studying Dark Patterns in Voice Assistants (David Choffnes)
- Calvin Yu: Finding Structural Similarities in Research Papers Through Visual and Textual Analysis- tentative title (Cody Dunne)
- Shreya Singh: A Calibrated approach to Semi-Supervised Learning For Medical Image Classification (Hongyang Zheng)
- Nicolas Osborn: Quality Diversity in Human Computation (Seth Cooper)
- Riley Grant: Reimagining Programming with AlphaZero (Karl Lieberherr)
- Jonathan Merrin: Improving human task performance with Quality Diversity inspired tools (Mike Shah)
- Shireen Firdoz: Design and implementation of a new reconfiguration protocol in etcd (Ji-Yong Shin)
- Maanasa Kaza: MSstatsShiny: An Interactive Cloud-Based UI for High Quality Analysis of Proteomic Experiments (Olga Vitek)
- Haoyu He: A benchmark suite for neural network verification for systems (Cheng Tan)
- Thai Huynh: Gender box 2 (Ari Waldman)