Khoury Research Apprenticeship: Past Participants
Khoury Research Apprenticeship: Past Participants
Khoury Research Apprenticeship: Past Participants
Fall 2023 participants
Here is the list of students who participated in the Fall 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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)
Fall 2023 participants
Here is the list of students who participated in the Fall 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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)
Fall 2023 participants
Here is the list of students who participated in the Fall 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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)
Fall 2023 participants
Here is the list of students who participated in the Fall 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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
Here is the list of students who participated in the Spring 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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)
Spring 2023 participants
Here is the list of students who participated in the Spring 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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)
Spring 2023 participants
Here is the list of students who participated in the Spring 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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)
Spring 2023 participants
Here is the list of students who participated in the Spring 2023 Khoury Research Apprenticeship program. They are listed alongside their projects and 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
Here is the list of students who participated in the Fall 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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 & Parthasarathy Murugesan – Reddit as an evaluation for Dialog responses (David Smith)
Sumukh Vasisht Shankar – Equivariant Neural Networks for Spatial Light Modulator (Robin Walters)
Fall 2022 participants
Here is the list of students who participated in the Fall 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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 & Parthasarathy Murugesan – Reddit as an evaluation for Dialog responses (David Smith)
Sumukh Vasisht Shankar – Equivariant Neural Networks for Spatial Light Modulator (Robin Walters)
Fall 2022 participants
Here is the list of students who participated in the Fall 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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 & Parthasarathy Murugesan – Reddit as an evaluation for Dialog responses (David Smith)
Sumukh Vasisht Shankar – Equivariant Neural Networks for Spatial Light Modulator (Robin Walters)
Fall 2022 participants
Here is the list of students who participated in the Fall 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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 & 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
Here is the list of students who participated in the Spring 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and 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 Pattens 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)
Spring 2022 participants
Here is the list of students who participated in the Spring 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and 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 Pattens 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)
Spring 2022 participants
Here is the list of students who participated in the Spring 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and 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 Pattens 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)
Spring 2022 participants
Here is the list of students who participated in the Spring 2022 Khoury Research Apprenticeship program. They are listed alongside their projects and 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 Pattens 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)
Fall 2021 participants
Here is the list of students who participated in the Fall 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
Fall 2021 participants
Here is the list of students who participated in the Fall 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
Fall 2021 participants
Here is the list of students who participated in the Fall 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
Fall 2021 participants
Here is the list of students who participated in the Fall 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
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. I found working in this environment and different kind of problems more enjoyable than my previous experience in the industry, which propelled me towards a PhD.
Satyajit Gokhale
PhD in Computer Science student
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. I found working in this environment and different kind of problems more enjoyable than my previous experience in the industry, which propelled me towards a PhD.
Satyajit Gokhale
PhD in Computer Science student
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. I found working in this environment and different kind of problems more enjoyable than my previous experience in the industry, which propelled me towards a PhD.
Satyajit Gokhale
PhD in Computer Science student
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. I found working in this environment and different kind of problems more enjoyable than my previous experience in the industry, which propelled me towards a PhD.
Satyajit Gokhale
PhD in Computer Science student
Spring 2021 participants
Here is the list of students who participated in the Spring 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
Spring 2021 participants
Here is the list of students who participated in the Spring 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
Spring 2021 participants
Here is the list of students who participated in the Spring 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
Spring 2021 participants
Here is the list of students who participated in the Spring 2021 Khoury Research Apprenticeship program. They are listed alongside their projects and faculty advisors.
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)
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...