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.
Spring 2025 showcase dates by campus location
- Boston: April 7
- Oakland: April 16
- Portland: April 16
- Seattle: April 22
- Silicon Valley: April 24
- Vancouver: April 23
Nomination process
Current faculty are encouraged to nominate students who 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 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’re 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
2024 Research Apprenticeship participants
Fall 2024 participants
Students who participated in the Fall 2024 Khoury Research Apprenticeship program, their projects, and their faculty advisors:
- Paola Alsharabaty: Distributed System Verification (Ji-Yong Shin)
- Zitong Bao: Digital Humanities Project: “Race, Gender, and the Visual Culture of Domestic Labor, 1870s to 1940s” (Joydeep Mitra)
- Hardik Bishnoi: Synthetic Galaxy Generation Using Artificial Intelligence (Tala Talaei Khoei)
- Estelita Chen: Curricular Complexity and BPC Performance (Albert Lionelle)
- Lana Do: Fine-Grained Sentiment Analysis (Tehmina Amjad)
- Michelle (Meechi) Figueroa: Leveraging Data Analytics for Improved Healthcare (Akram Bayat)
- Vinesh Gande: Data Driven Automation of Nonverbal Behavior (Stacy Marsella)
- Jieling Gong: Aircraft Inspection Using Computer Vision and UAVs (Michal Aibin)
- Tianchou Gong: Developing Multimodal U-Net for MRI Scan Image Segmentation for Musculoskeletal Models (Jeongkyu Lee)
- Kalli Hale: Creating Empathy Through Narrative-Drive Indie Games (Bob De Schutter)
- Ping He: Analysis of Tandem Language Exchange Data (Anthony Mullen)
- Joyce Hsu: Incorporating Patient Self-Presentation in Digital Phenotyping of Mental Health: A Patient-in-the-Loop Approach to Passive Sensing (Varun Mishra)
- Lohitha Reddy Indupuru: Applications of Cryptography to Social Reporting Systems (Ariel Hamlin)
- Rohan Jamadagni: Building NextGen OS Kernel at Northeastern (Cheng Tan)
- Julia Kim: Development of a Computational Traffic Model for Curved Roads (Nadim Saad)
- Mahesh Babu Kommalapati: A Digital Phenotyping Approach to Early Detection for Signs of Intimate Partner Violence (Aarti Sathyanarayana)
- Hui Kong: Online Resistance, Security, and Safety (Michael Ann DeVito)
- Seunghan Lee: Robotics Swarm Simulation Testbed and Algorithm Development (Aanjhan Ranganathan)
- Akash Mahalingam: Combatting Hate with Generative AI: Counter Speech Generation and Meme Context Interpretation (Divya Chaudary)
- Rui Min: MUGC: Machine Generated Versus User Generated Content Detection (Sanu Sushmita)
- Sai Chandra Pandraju: Security and Privacy of LLMs (Alina Oprea)
- Cai Peng: Designing Human-Centered AI Interfaces for Enhancing Worker Productivity and Well-being (Saiph Savage)
- Anshuman Raina and Pruthvi Prakash Navada: Statistical Modeling and Interpretation of Biomolecular Networks (Olga Vitek)
- Soni Rusagara: Black Femme Content Creators (Alexandra To)
- Lokesh Saiphanibabu Saipureddi: Multi-Human Pose Detection Using YOLOv8 (Mohammad Toutiaee)
- Huiru Yang: Designing Accessible Collaborative Ideation Technologies (Maitraye Das)
- Yichen Yan: Interactive Visualization of Graphical Representation of Code (Frank Tip)
- Haozhe Zhang: Extending Project-Based Hands-on Activities to Introduce Hardware in Software-Focused Courses (Lama Hamandi)
- Ruotian Zhang: Using Gamification and Game Based Learning to Teach Computer Programming (Sarita Singh)
- Zefeng Zhao: Learning to Generate Angry Birds Levels, Behavior Trees, and Other Graph-Based Structures from Examples (Seth Cooper)
Spring 2024 participants
Students who participated in the Spring 2024 Khoury Research Apprenticeship program, their projects, and their faculty advisors:
- Kaushik Boora: A Platform for Self-Driving Vehicles Research and Education (Guevara Noubir)
- Siddharth Chakravorty: Object Rearrangement In Real World (Zhi Tan)
- Alexander Crystal: Generative AI to Empower Workers (Saiph Savage)
- Zhou Fang: Capturing Conflicting Objectives in Synthetic Data Generation Using Neural Network Ensembles (Rajagopal Venkatesaramani)
- Lauryn Fluellen: Folk Models of Mutual Aid for At-Risk Populations (Michael Ann DeVito)
- Vidya Ganesh: Multi-modal Fact Checking of Out-of-Context Images via GPT4 (Huaizu Jiang)
- Felix Han: Supporting Patient-Provider Communication in Cancer Care with LLMs (Dakuo Wang)
- Ryan Heminway and Dilshath Shaik: Topological and Weight Evolving ANN: An Empirical Analysis (Jonathan Mwaura)
- Rachana Kallada Jayaraj: Serverless Computing for More General Applications/Systems (Ji-Yong Shin)
- Pandya Kush: Split Processes in Computer Systems as Applied to MPI in HPC (Gene Cooperman)
- Jennifer Lee: SQLearn: Automated SQL Statement Assessment with Large Language Model and Abstract Syntax Trees (Jeongkyu Lee)
- Vamshika Lekkala: Safe Learning-Based Control of Exoskeletons (Michael Everett)
- Chanyuan Liu: Finding Vulnerabilities in the NIST Policy Engine (Cristina Nita-Rotaru)
- Philip Mathieu: JS/Python Library for Measuring Network Visualization (Scott Dunne)
- Divyadharshini Muruganandham: Information Content of Associations in Complex Networks (Wes Viles)
- Elizabeth Pates: Advancing Efficiency of 3D Object Database Search (Megan Hoffmann)
- Ashish Pawar: Leveraging Large Language Models for Risk Assessment in Derivative Pricing (Divya Chaudhary)
- Stephanie Poon: Design of a Mobile App Prototype for the Home Management of Chronic Obstructive Lung Disease (Holly Jimison)
- Vaibhav Setia: Automated Test Generation for React (Frank Tip)
- Justin Steinberg: Investigate Behaviors for Medication Management in College Students with Mental Health Issues (Aditya Mishra)
- Senay Argaw Tilahun: Gamifying Algorithms (Lama Hamandi)
- Benjamin Wolff: Causal Query Estimation in Biomolecular Networks (Olga Vitek)
- Yuwei Wu: Human-Robot Interaction for Older Adults with Cognitive Impairment (Timothy Bickmore)
- Huiru Yang: Designing Accessible Collaborative Ideation Technologies for Blind and Low-Vision People (Maitraye Das)
- Yuanyuan Yang: Deep Cosmological Simulators for Studying Intrinsic Alignment of Galactic Shape (Robin Walters)
- Siyu Yao: Creating a New Benchmarking Framework for Distributed Database Replication (Ian Gorton)
- Mao Zhang: Making Computer Graphics Accessible (Mike Shah)
- Jiawei Zou: Using Machine Learning Techniques to Guide the Search for Materials for Quantum Computers (Miguel Fuentes-Cabrera)