Khoury Research Apprenticeship: Past Participants
Khoury Research Apprenticeship: Past Participants
Khoury Research Apprenticeship: Past Participants
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)
© 2023 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
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About
Programs
Experiential Learning
Research
Life at Khoury
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About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2023 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...