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
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)
- 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)
- Sai Chandra Pandraju: Security and Privacy of LLMs (Alina Oprea)
- Lokesh Saiphanibabu Saipureddi: Multi-Human Pose Detection Using YOLOv8 (Mohammad Toutiaee)
- Huiru Yang: Designing Accessible Collaborative Ideation Technologies (Maitraye Das)
- Yichen Yang: 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)
- Jinda Zhang: Sustainable Resource Management — Focus on Wildfires Prevention (Michal Aibin)
- 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)
Past Research Apprenticeship participants
Fall 2023 participants
- 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
- 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
- Shriya Dhaundiyal: VOICE ASSISTANT using profiling (David Choffnes)
- Charles “Chip” Kirchner: Macro-Action Value Decomposition for Multi-Agent Deep Reinforcement Learning (Chris Amato)
- Caroline Craig: Learning Alignment Models from Multiple Translations of Ancient Greek Texts (David Smith)
- Akash Shitole: In-Situ Malware Capture and Containment (William Robertson)
- SzeYi “Reina” Chan: Brukel: Effectiveness in Storytelling (Bob DeSchutter)
- Omar Rashwan: Reconfiguration as a Common Operation in Distributed Systems (Ji-Yong Shin)
- Mingxi Jia: SEIL: Simulation-augmented Equivariant Imitation Learning (Robert Platt)
- Dmitrii Troitskii: dewimplify: Validating Intermediate Representation of WebAssembly (Frank Tip)
- Keith Rebello: Improving User Affect Through Empathic Conversational Agents (Tomothy Bickmore)
- Kinshuk Sharma: Benchmarking Distribution Shifts for Domain Generalization (Hongyang Zhang)
- Jianhua “Chandler” Che: GigSense: Intelligent Collective Action Interfaces for Gig Workers (Saiph Savage)
- Aniruth Ramesh and Parthasarathy Murugesan: Reddit as an evaluation for Dialog responses (David Smith)
- Sumukh Vasisht Shankar: Equivariant Neural Networks for Spatial Light Modulator (Robin Walters)
Spring 2022 participants
- 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 (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)
Fall 2021 participants
- Ian Dardik: Formal Verification of a Distributed Dynamic Reconfiguration Protocol (Stavros Tripakis)
- Tarek Elaydi: Reducing irreducible error in image datasets (Bruce Maxwell)
- Samuel Engida: Quantifying the Nauseogenicity of Virtual Reality experiences (Caglar Yildirim)
- Ari Fleischer: Misinformation and Discrimination (Ari Waldman)
- Akanksha Gupta: FIND-M: Identify Counterfeit Medical Products through Crowdsourcing (Ravi Sundaram)
- Huiyu He: Exploring Consistency Semantics for Distributed Systems in Serverless Environments (Ji-Yong Shin)
- Haoyu He: Persuasive Robots for Health Behavior Change (Timothy Bickmore)
- Devina Raithatha: Centering Joy in BIPOC PWI Experiences (Alexandra To)
- Sunny Sandeepbhai Shukla: Attention and Transformer models for Speaker – Follower VLN tasks (Lawson Wong)
- Virender Singh: BERT Language Model analysis and application to fine tuning tasks (Hongyang Zhang)
Spring 2021 participants
- Joseph Burns: VizioT: Visualizing Network Traffic for IoT Devices (David Choffnes)
- Ian Dardik: Proving Correctness of a Novel Consensus Protocol (Stavros Tripakis)
- Colin Dsouza: Design explorations for efficient and verified distributed system compositions (Ji-Yong Shin)
- Satyajit Gokhale: Desynchronizer: Introducing Asynchrony in JavaScript Applications (Frank Tip)
- Xingyu Lu: Deep Multi-Agent Reinforcement Learning (Christopher Amato)
- Rebecca Mashaido: Detecting Neural Network Integrity Violations via Sensitive Samples (Thomas Wahl)
- Vishal Maurya: QGen: a workload generator for benchmarking analytic frameworks (Peter Desnoyers)
- Urvaksh Padamsi: The Truth Pill: Empowering Consumers to Identify Counterfeit Medical Products through Crowdsourcing and Deep Networks (Ravi Sundaram)
- Waleed Saeed: Gender Binary in Law (Ari Waldman)
- Hearan Won, Rachelle Angeli Maranon: Data-driven Modeling of Disaster Response (Stacy Marsella)