{"id":17371,"date":"2023-06-01T11:19:28","date_gmt":"2023-06-01T15:19:28","guid":{"rendered":"https:\/\/www.bu.edu\/cs\/?page_id=17371"},"modified":"2023-11-20T11:01:27","modified_gmt":"2023-11-20T16:01:27","slug":"phd-final-dissertation-defenses","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/cs\/phd-program\/resources\/phd-final-dissertation-defenses\/","title":{"rendered":"PhD Final Dissertation Defenses"},"content":{"rendered":"

PhD students who plan on defending and graduating must follow all of the instructions as detailed by GRS<\/a>.<\/p>\n

This page serves as a compilation of upcoming and past PhD final dissertation defenses. BU Libraries offers resources<\/a> for finding past dissertations.<\/p>\n

Upcoming<\/h4>
<\/p>\n
    \n
  • Dina Bashkirova, “Domain Invariance for Semantically Consistent Image Manipulation” (<\/span>Monday, November 20, 2023, 11:00 AM in CDS 548)<\/span><\/li>\n
  • Andrea Burns, “Learning and Evaluating Multimodal Representations for Digital Domains” (<\/span>Monday, November 27, 2023, 10:00 AM in CDS 1101)<\/span><\/li>\n<\/ul>\n

    <\/div>\n<\/div>\n\n

    AY2022-2023<\/h4>
    <\/p>\n
      \n
    • Han Dong, “A Data-Driven Study of Operating System Energy-Performance Trade-Offs Towards System Self Optimization”<\/li>\n
    • Ahmad (Sasan) Golchin, “TOWARDS A USB CONTROL AREA NETWORK”<\/li>\n
    • Ping Hu, “Pixel-Level Video Understanding with Efficient Deep Models”<\/li>\n
    • Hieu Le, “ON ROBUSTNESS AND EXPLAINABILITY OF DEEP LEARNING”<\/li>\n
    • Andrew Wood, “Accelerating Machine Learning with Memory Management and Persistent Memory”<\/li>\n
    • Yida Xin, “Disambiguating Natural Language via Aligning Meaningful Descriptions”<\/li>\n
    • Esmail (Showan) Asyabi, “Resource-efficient, performant in-memory KV stores for at-scale data centers”<\/li>\n
    • William Blair, “Detecting and Mitigating Software Security Vulnerabilities Through Secure Environment Programming”<\/li>\n
    • Jiawen Liu, “Program Analysis for Quantitative-reachability Properties”<\/li>\n
    • Ali Raza, “SPECIALIZING A GENERAL-PURPOSE OPERATING SYSTEM”<\/li>\n
    • Nataniel Ruiz Gutierrez, “Simulating to Learn: Using Adaptive Simulation to Train, Test and Understand Neural Networks”<\/li>\n
    • Kuniaki Saito, “Towards Open-World Image Recognition”<\/li>\n
    • Gavin Brown, “Memorization and Private Inference in Machine Learning”<\/li>\n
    • Nathan Cordner, \u201cScalable Algorithms for Correlation Clustering on Large Graphs\u201d<\/li>\n
    • Ali Raza, “Orchestrating Cloud Resources To Optimize Performance and Cost”<\/li>\n
    • Konstantinos Sotiropoulos, “Methods, Algorithms and Impossibility Results for Machine Learning on Graphs”<\/li>\n
    • Pratik Sarkar, “Enhancing Security of Cryptographic Protocols through Better Modularization”<\/span><\/li>\n<\/ul>\n

      <\/div>\n<\/div>\n\n

      AY2021-2022<\/h4>
      <\/p>\n
        \n
      • Ethan Heilman, “Mirror worlds, eclipse attacks and the security of Bitcoin and the RPKI”<\/li>\n
      • Weihao Qu, “Program-Based Analysis for Quantitative Properties”<\/li>\n
      • Jiayu Zhang, “Delegation of Quantum Computation Using a Random Oracle”<\/li>\n
      • Xiao Zhou, “NON-COMPETITIVE AND COMPETITIVE DEEP LEARNING FOR APPLICATIONS”<\/li>\n
      • Dmytro Bogatov, “Secure and Efficient Query Processing In Outsourced Databases”<\/span><\/li>\n
      • Qi Feng, “TELL ME WHAT TO TRACK: VISUAL OBJECT TRACKING AND RETRIEVAL BY NATURAL LANGUAGE DESCRIPTIONS”<\/li>\n
      • Emine Ugur Kaynar, “COOPERATIVE CACHING FOR OBJECT STORAGE”<\/li>\n
      • Donghyun Kim, “Learning Generalizable and Transferable Representations Across Domains and Modalities”<\/li>\n
      • Tomislav Petrovic, “Some Results on Kolmogorov-Loveland Randomness”<\/li>\n
      • Ben Usman, “Manipulating Natural Images by Learning Relationships Between Visual Domains”<\/li>\n
      • Laura Greige, “Anomaly Detection in Competitive Multiplayer Games”<\/li>\n
      • Rawane Issa, “Towards Secure Computation for People”<\/li>\n
      • Mark Lemay, “A Dependently Typed Programming Language with Dynamic Equality”<\/li>\n
      • Siddharth Mysore Sthaneshwar, “Conditioning Behavior Styles of Reinforcement Learning Policies”<\/span><\/li>\n
      • Soham Sinha, “Towards a Centralized Multicore Automotive System”<\/li>\n
      • Zhenxun Zhuang, “Adaptive Strategies in Non-convex Optimization”<\/span><\/li>\n<\/ul>\n

        <\/div>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

        PhD students who plan on defending and graduating must follow all of the instructions as detailed by GRS. This page serves as a compilation of upcoming and past PhD final dissertation defenses. BU Libraries offers resources for finding past dissertations.<\/p>\n","protected":false},"author":20056,"featured_media":0,"parent":134,"menu_order":8,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/pages\/17371"}],"collection":[{"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/users\/20056"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/comments?post=17371"}],"version-history":[{"count":17,"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/pages\/17371\/revisions"}],"predecessor-version":[{"id":18121,"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/pages\/17371\/revisions\/18121"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/pages\/134"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cs\/wp-json\/wp\/v2\/media?parent=17371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}