EE595 Mobile Computing, Sensing,
Learning, and Interactions

Course Info

Instructor: Prof. Sung-Ju Lee (, N1 #306
TAs: Yewon Kim, Hyeongheon Cha, Sujin Han, Taeckyung Lee, Adiba Orzikulova
When: Mon/Wed 14:30-16:00
Where: N1 #112
Class website:
KLMS page:
Class email:
Campuswire page:
Course registration:
Office hours: By appointment


  • The class will be in-person by default, with Zoom live streaming only if COVID-related issues arise.


  • Past projects: Visit here
  • Student paper assignments: Google Spreadsheet
  • Essay submission link:

  • Class Overview

    In this advanced research course, we study the various aspects that enable mobile ubiquitous computing; network architectures, cloud computing, on-device machine learning, wearables, applications, security, privacy, and interaction methods. We will read and present seminal and state-of-the-art papers on each topic. Students will also design and demonstrate class projects in mobile applications or IoT services.


    • Programming Structure for Electrical Engineering (EE209 or equivalent); basic understanding of programming
    • General understanding of networking, systems, and machine learning
    • Passion and interest in mobility and research
    • Work ethic

    Grading Policy

    Quizzes 15% Quizzes may be announced or unannounced; includes open-ended questions and take home quizzes.
    Assignments 35% Reading assignments and essays + three Android & Arduino programming assignments. Details will be guided within lectures.
    Project 20% A research term project that involves implementation.
    Presentations 20% Three project presentations and research paper presentations.
    Participation 10% This course would be successful only when it's interactive. Students are highly encouraged to ask questions, present their opinion, and lead discussions during classes and in Campuswire.


    • 9/15 Paper assignments for presentation and essay are up!
    • 9/7 Paper Selection: Send your paper biddings to by Sep 13 (Tue), 11:59 PM.
    • 8/29 The summary of past term projects can be found here.
    • 8/29 Welcome to EE595! If you're ready to take this course, please do the following:
      1) Submit this form ( to get access to course materials.
      2) Join our Campuswire group (password: 8299) for class discussions.
    • 8/29 The class will be in-person by default, with Zoom live streaming only if COVID-related issues arise. Please follow instructions below:
      1) You SHOULD attend the class OFFLINE (N1 #112) unless we notice that the class will go online.
      2) In the classroom, you should clean your seat with provided sanitizer before class, wear a mask, and sit one seat apart from each other.


    Week Date Topic Required reading Submission
    1 8/29 Mon Course introduction [slides] [video]
    8/31 Wed Challenges in mobile sensing [slides] [video] (1) G. H. Forman and J. Zahorjan, “The Challenges of Mobile Computing,” IEEE Computer, April 1994.
    (2) M. Satyanarayanan, “Pervasive Computing: Vision and Challenges,” IEEE Personal Communications, August 2001.
    (3) E. Miluzzo, et al., “Darwin Phones: the Evolution of Sensing and Inference on Mobile Phones,” ACM MobiSys 2010.
    2 9/5 Mon Wireless communications, LTE, Wi-Fi [slides] [video] (1) A. Gosh, et al., “LTE-Advanced: Next-Generation Wireless Broadband Technology,” IEEE Wireless Communications, June 2010.
    (2) W. Sun, et al., “Wi-Fi Could be Much More,” IEEE Communications Magazine, November 2014.
    Due: Self-intro Submit
    9/7 Wed Ad hoc & mesh networking [slides] [video] (1) E. M. Royer and C.-K. Toh, “A Review of Current Routing Protocols for Ad Hoc Mobile Wireless Networks,” IEEE Personal Communications, 1999.
    (2) D. S. J. De Couto, D. Aguayo, J. Bicket, and R. Morris, “A High-Throughput Path Metric for Multi-Hop Wireless Routing,” ACM MobiCom 2003.
    (3) J. Bicket, et al., “Architecture and Evaluation of an Unplanned 802.11b Mesh Network,” ACM MobiCom 2005.
    Due: Team formation Submit
    Out: Project Proposal Doc
    Out: Paper Selection
    3 9/12 Mon Chuseok
    9/13 Tue Due: Paper Selection Submit
    9/14 Wed TCP over wireless, localization & energy efficiency[slides] (1) H. Balakrishnan, V. N. Padmanabhan, S. Seshan and R. H. Katz, ”A Comparison of Mechanisms for Improving TCP Performance over Wireless Links,” ACM SIGCOMM 1996.
    (2) P. Bahl & V. N. Padnabhan “RADAR: an In-Building RF-based User Location and Tracking System,” IEEE INFOCOM 2000.
    (3) N. Balasubramanian, et al., “Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications,” ACM IMC 2009.
    4 9/19 Mon Mobile Computing at KAIST I (author presentations)
    [slides1] [slides2]
    [GL1] Y. Yoon, et al., “SGToolkit: An Interactive Gesture Authoring Toolkit for Embodied Conversational Agents,” ACM UIST 2021.
    [GL2] W. Kim, et al., "Hivemind: Social Control-and-Use of IoT towards Democratization of Public Spaces," ACM MobiSys 2021.
    Due: Paper essay (everyone; select 1) Submit
    9/21 Wed Elevator pitch
    Due: Google slides Submit
    5 9/26 Mon Mobile App Development Tutorial [slides]
    Out: Programming Assignment #1
    Due: Project Proposal Doc Submit
    9/28 Wed Energy efficiency & Cloud
    [slides1] [slides2]
    [P1] A. Pathak, et al., “Where is the Energy Spent Inside My App?: Fine Grained Energy Accounting on Smartphones with Eprof,” ACM EuroSys 2012.
    [P2] E. Cuervo, et al., “MAUI: Making Smartphones Last Longer with Code Offload,” ACM MobiSys 2010.
    6 10/3 Mon National Foundation Day
    10/5 Wed Mobility & Life [Zoom] [slides1] [slides2] [P3] R. Wang, et al., “Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing,” ACM IMWUT (UbiComp) 2018.
    [P4] C. Park, et al., “Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance,” ACM WWW 2021.
    7 10/10 Mon Hangeul Day
    Due: Programming Assignment #1 Submit
    10/12 Wed Half presentations
    8 10/17 Mon Midterm week
    10/19 Wed Midterm week
    9 10/24 Mon Arduino tutorial [slides]
    Out: Programming Assignment #2
    10/26 Wed Digital Wellbeing [slides1] [slides2] [P5] H. Cho, et al., “Reflect, not Regret: Understanding Regretful Smartphone Use with App Feature-Level Analysis,” ACM CSCW 2021.
    [P6] X. Xu, et al., “TypeOut: Leveraging Just-in-Time Self-Affirmation for Smartphone Overuse Reduction,” ACM CHI 2022.
    10 10/31 Mon Mobile Health [slides1] [slides2] [P7] A. Curtis, et al., “HealthSense: Software-defined Mobile-based Clinical Trials,” ACM MobiCom 2019.
    [P8] H. Zhang, et al., “PDLens: Smartphone Knows Drug Effectiveness among Parkinson’s via Daily-Life Activity Fusion,” ACM MobiCom 2020.
    11/2 Wed Interaction Methods [slides1] [slides2] [P9] P. Streli, et al., “TapType: Ten-finger Text Entry on Everyday Surfaces via Bayesian Inference,” ACM CHI 2022.
    [P10] V. Shen, et al., “Mouth Haptics in VR Using a Headset Ultrasound Phased Array,” ACM CHI 2022.
    11 11/7 Mon On-device ML tutorial [slides] [code]
    Due: Programming Assignment #2 Submit
    Out: Programming Assignment #3
    11/9 Wed Mobile Computing at KAIST II (author presentations) [slides1] [slides2] [GL3] J. Shin, et al., “FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients,” ACM MobiSys 2022.
    [GL4] J. Kim, et al., “HearMeOut: Detecting Voice Phishing Activities in Android,” ACM MobiSys 2022.
    12 11/14 Mon Earables [slides1] [slides2] [P11] I. Chatterjee, et al., “ClearBuds: Wireless Binaural Earbuds for Learning-Based Speech Enhancement,” ACM MobiSys 2022.
    [P12] Y. Jin, et al., “EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life,” ACM MobiSys 2022.
    11/16 Wed Federated Learning [slides1] [slides2] [P13] F. Lai, et al., “Oort: Efficient Federated Learning via Guided Participant Selection,” USENIX OSDI 2021.
    [P14] A. Li, et al., “FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking,” ACM SenSys 2021.
    13 11/21 Mon Activity Recognition [slides1] [slides2] [P15] T. Li, et al., “Making the Invisible Visible: Action Recognition Through Walls and Occlusions,” ICCV 2019.
    [P16] C. Tang, et al., “SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data,” ACM IMWUT (UbiComp) 2021.
    Due: Programming Assignment #3 Submit
    11/23 Wed On-Device Training [slides1] [slides2] [P17] X. Zeng, et al., “Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling,” ACM SenSys 2021.
    [P18] I. Gim and J. Ko, “Memory-efficient DNN Training on Mobile Devices,” ACM MobiSys 2022.
    Out: Additional essay (replaces quiz)
    14 11/28 Mon Mobile Computing at KAIST III (author presentations) [slides1] [slides2] [GL5] K. Bae, et al., “OmniScatter: Extreme Sensitivity mmWave Backscattering Using Commodity FMCW Radar,” ACM MobiSys 2022.
    [GL6] S. Lee, et al., “A-Mash: Providing Single-App Illusion for Multi-App Use through User-centric UI Mashup," ACM MobiCom 2022.
    11/30 Wed Undergraduate Admissions Interview
    15 12/5 Mon Demo
    Due: Presentation slides Submit
    12/7 Wed No class
    Due: Additional essay (replaces quiz) Submit
    16 12/12 Mon Finals week
    12/14 Wed Finals week
    Due: Project report & deliverables [guideline] [template] Submit

    Class Policy

    Students are encouraged to interact with classmates, as well as the professor and the TAs, to discuss course material and assignment problems. In all your writing, including homework, essays, reports, and exams, use your own words, and acknowledge the source if you use someone else’s slides, quotes, figures, text, etc. Plagiarism and cheating are serious offenses and will be punished by failure on exams/assignments/course, and suspension or expulsion from the University.