Hello, I'm Chulhong Min

Principal Research Scientist & Tech Lead
at Nokia Bell Labs



Image placeholder

About Me


I am currently working as a Principal Research Scientist at Nokia Bell Labs in Cambridge, UK and lead the Device Systems team.

In my team, we work on building multi-device systems to support collaborative and interactive services. With an unprecedented rise of on/near-body devices, it is common today to find ourselves surrounded by multiple sensory devices. We explore system challenges and issues to enable multi-device, multi-modal, and multi-sensory functionalities on these devices, thereby offering exciting opportunities for accurate, robust and seamless edge intelligence.

My research interests include mobile and embedded systems, edge intelligence, tiny ML, Internet of Things (IoT), and social and culture computing. I enjoy building real, working systems and applications and like to collaborate with other domain experts for interdisciplinary research.


CV  GOOGLE SCHOLAR  BELL LABS PROFILE


   

NEWS

BELL LABS & PERSONAL

June 2024

Keynote Speech at ACM NetAISys 2024.

I will be giving a keynote speech at ACM NetAISys 2024 (co-located with ACM MobiSys 2024, Tokyo, Japan).
July 2023

Showcasing Camera-as-a-Service at U23 European Athletics Championship

We have successfully showcased our research prototype, Camera-as-a-Service, during a sport event (U23 European Athletics Championship) at Espoo, Finland, by over 10,000 people.

 PROJECT Video Blog Nokia CEO's message Bell Labs Solutions Research President's Blog
MORE
December 2023 - Present

Internship Opportunity

Come work with us for cutting-edge device research!

 Leaflet LinkedIn
January 2023 - Present

Hiring PostDoc, Research Scientist and Tech Lead

Come work with us for exciting device research!! We have several positions (postdoc, research scientist, and tech lead) available in our Cambridge Lab.

 PostDoc Research Scientist Tech Lead
November 2022

Slush at Helsinki, Finland

I will be at Slush to demonstrate how we bring cloud-scale,machine learning and MLOPs to software-defined cameras and IoT devices.

 PROJECT CSTO's message

RESEARCH

November 2024

Published at IEEE Security & Privacy

Our paper about adaptable and secure sandboxing for on-the-fly collaboration among wearables has been published at IEEE Security & Privacy.
November 2024

Best Paper Award

Our paper about energy characterisation of tiny AI accelerators was awarded the Best Paper Award at ACM HumanSys 2024. Kudos to our awesome intern, Yushan!
Sep 2024

Accepted at IEEE TMC

Our paper about cross-camera collaboration for video analytics on distributed smart cameras was accepted to IEEE Transactions on Mobile Computing (TMC).

MORE
May 2024

Accepted at ACM BodySys 2024

Our paper about thermal characteristics of AI accelerator-equipped microcontrollers was accepted to ACM BodySys 2024.

February 2024

Featured at Hackster.io

Our project has been featured on Hackster.io.

July 2023

Accepted at ACM Multimedia 2023

Our paper about detecting reactions to daily music listening via earable sesnsing was accepted to ACM Multimedia 2023.
July 2023

Accepted at ACM TECS

Our paper about bringing MLOps and multi-tenant model serving to edge devices was accepted to ACM TECS.
December 2022

Accepted at ACM HotMobile 2023

Our paper about on-body microphone collaboration was conditionally accepted to ACM HotMobile 2023. Kudos to our awesome intern, Bhawana!
November 2022

Best Paper Award

Our paper about reseource characterisation of MAX78000 was awarded the Best Paper Award at ACM AIChallengeIoT 2022. Kudos to our awesome interns, Hyunjong, Lei and Arthur!
September 2022

Two papers presented at ACM UbiComp 2022

Two papers were presented at ACM UbiComp 2022, Lingo (a hyper-local conversational agent) and ColloSSL (collaborative self-supervised learning).
July 2022

Two papers presented at ACM UbiComp 2022

Our paper about the multi-device and multi-modal dataset for human energy expenditure estimation is published in Nature Scientific Data. DATASET

SERVICES

November 2024

Program committee for ACM SenSys 2025

I am serving as a program committee member for ACM SenSys 2025.

October 2024

Program committee for ACM MobiSys 2025

I am serving as a program committee member for ACM MobiSys 2025.

September 2024

Program committee for IEEE PerCom 2025

I am serving as a program committee member for IEEE PerCom 2025.

August 2024

Program committee for ACM MobiCom 2025

I am serving as a program committee member for ACM MobiCom 2025.

MORE
October 2023

Program committee for ACM MobiSys 2024

I am serving as a program committee member for ACM MobiSys 2024.

Jul 2023

Student travel grants chair for ACM MobiSys 2024

I am serving as a student travel grants co-chair for ACM MobiSys 2024.
Feb 2023

IEEE Pervasive Copmuting

I am serving as an editor of IEEE Pervasive Computing.
June 2022

Workshop chair for ACM UbiComp/ISWC 2022

I am serving as a workshop co-chair for ACM UbiComp/ISWC 2022.
February 2022

Program chair for ACM IASA 2022

I am serving as a program co-chair for ACM IASA 2022.
October 2021

Program committee for ACM MobiSys 2022

I am serving as a program committee member for ACM MobiSys 2022.

July 2021

Program committee for ACM MobiCom 2022

I am serving as a program committee member for ACM MobiCom 2022.


       

Research Highlights

Camera-as-a-Service at U23

This summer presented us with an exciting opportunity to deploy our Camera-as-a-Service platform at Leppävaara Stadium in Espoo, Finland, for the European Athletics U23 Championships. The setup spanned not only the stadium but also extended to the warm-up and training area, parking spaces, and food stalls. To thousands of spectators, our service brought a unique mix of behind-the-scenes content, dynamic live views from various angles of the stadium, and instant replay perks, all streamed straight to their smartphones.

PROJECT Video Blog Nokia CEO's message Bell Labs Solutions Research President's Blog
Image placeholder

Camera-as-a-Service

Intelligent cameras such as video doorbells and CCTV are abundant today, yet only used for a single-purpose, privacy-invasive and bandwidth-heavy streaming. We have developed a software solution that transforms intelligent cameras with automated machine learning operations (MLOps), enabling them to provide a range of services, including traffic flow, pedestrian analysis, asset tracking, or even facial recognition.

SITE VIDEO Paper 1 Paper 2
Image placeholder

Multi-device Systems for Collaborative Intelligence

Multiple intelligent devices on and around us are on the rise and open up an exciting opportunity to leverage redundancy of sensory signals and computing resources. We are building multi-device systems to make an inference of ML models accurate, robust, and efficient at the deployment time so that applications can benefit from such multiplicity and boost the runtime performance of deployed ML models without model retraining and engineering.

Paper 1 Paper 2
Image placeholder

Tiny ML on Distributed Accelerators

The embedded accelerators promise model inferences with 100x improved speed and energy efficiency. In reality, however, this acceleration comes at the expense of extreme tight coupling, preset configurations, and obscure memory management. We challenge these limitations and uncover immediate opportunities for software acceleration to transform the on-chip intelligence.

Benchmark Paper Hackster.io

       

Publications

2024

  • Diana A. Vasile, Fahim Kawsar, Chulhong Min, "Emerging Paradigms in Wearable Security: Adaptable and Secure Sandboxing for On-the-Fly Collaboration Among Wearables", In IEEE Security & Privacy (Early Access). Publisher
  • Yushan Huang, Taesik Gong, SiYoung Jang, Fahim Kawsar, Chulhong Min, "Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers", In Proc. International Workshop on Human-centered Sensing, Networking, and Multi-Device Systems (HumanSys 2024) in conjuction with ACM SenSys 2024, Hangzhou, China, November 2024. Publisher PDF [Best paper award]
  • Juheon Yi, Utku Gunay Acer, Fahim Kawsar, Chulhong Min, "Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras", In IEEE Transaction on Mobile Computing (TMC) (Early Access). Publisher PDF arXiv
  • SiYoung Jang, Fahim Kawsar, Chulhong Min, "Thermal Characterization of AI Applications on AI Accelerators-equipped Microcontrollers", In Proc. International Workshop on Body-Centric Computing Systems (BodySys 2024) in conjuction with ACM MobiSys 2024, Tokyo, Japan, June 2024. Publisher PDF
  • Chulhong Min, Utku Günay Acer, Siyoung Jang, Sangwon Choi, Diana A. Vasile, Taesik Gong, Juheon Yi, Fahim Kawsar, "An AI-Native Runtime for Multi-Wearable Environments", arXiv preprint arXiv:2403.17863 (2024) arXiv PDF
  • Adiba Orzikulova, Diana A. Vasile, Fahim Kawsar, Chulhong Min, "Time-bound Contextual Bio-ID Generation for Minimalist Wearables", arXiv preprint arXiv:2403.00889 (2024) arXiv PDF
  • Taesik Gong, Si Young Jang, Utku Gunay Acer, Fahim Kawsar, Chulhong Min, "Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs", arXiv preprint arXiv:2401.08637 (2024) arXiv PDF

2023

  • Euihyeok Lee, Chulhong Min, Jaeseung Lee, Jin Yu, Seungwoo Kang, "GrooveMeter: Enabling Music Engagement-aware Apps by Detecting Reactions to Daily Music Listening via Earable Sensing", In Proc. ACM International Conference on Multimedia (MM), Ottawa, Canada, Oct. 2023. Publisher PDF
  • Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar, "SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices", In ACM Transactions on Embedded Computing Systems (TECS), Volume 22, Issue 6, Article No.: 98, pp 1-27. Publisher PDF
  • Bhawana Chhaglani, Utku Günay Acer, Si Young Jang, Fahim Kawsar, Chulhong Min, "Cocoon: On-body Microphone Collaboration for Spatial Awareness", In Proc. International Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2023), Orange County, California, USA, Feb 2023. Publisher PDF

2022

  • Arthur Moss, Hyunjong Lee, Lei Xun, Chulhong Min, Fahim Kawsar, Alessandro Montanari, "Ultra-low Power DNN Accelerators for IoT: Resource Characterisation of the MAX78000", In Proc. ACM Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2022) in conjunction with ACM SenSys 2022, Boston, USA, November 2022. Publisher PDF [Best paper award]
  • Shkurta Gashi, Chulhong Min, Alessandro Montanari, Silvia Santini, Fahim Kawsar, "A Multi-device and Multi-modal Dataset for Human Energy Expenditure Estimation using Wearable Devices", In Nature Scientific Data 9, Article number 537 (2022). Publisher PDF DATASET DATASET SITE
  • Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar, "SensiX: A System for Best-effort Inference of Machine Learning Models in Multi-device Environments", In IEEE Transactions on Mobile Computing (TMC), Volume 22, Issue 9, 1 September 2023. Publisher PDF arXiv
  • Utku Günay Acer, Marc Van Den Broeck, Chulhong Min, Mallesham Dasari, Fahim Kawsar, "The City as a Personal Assistant: Turning Urban Landmarks into Conversational Agents for Serving Hyper Local Information", In Proc. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT). Volume 6, Issue 2, Article 40 (July 2022), 31 pages. Publisher PDF
  • Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur, "ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition", In Proc. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT). Volume 6, Issue 1, Article 17 (March 2022), 28 pages. Publisher PDF arXiv
  • Jing Yang, Chulhong Min, Akhil Mathur, Fahim Kawsar, "SleepGAN: Towards Personalized Sleep Therapy Music", In Proc. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2022), Singapore, May 2022. Publisher PDF
  • Andrea Ferlini, Alessandro Montanari, Chulhong Min, Hongwei Li, Ugo Sassi, Fahim Kawsar, "In-Ear PPG for Vital Signs", IEEE Pervasive Computing, Volume 21, Issue 1, p. 65-74, Jan.-March 2022. Publisher PDF

2021

  • Manasa Kalanadhabhatta, Chulhong Min, Alessandro Montanari, Fahim Kawsar, "FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability", In Proc. EAI International Conference on Pervasive Computing Technology for Healthcare (PervasiveHealth 2021), December 2021. Publisher PDF DATASET
  • Si Young Jang, Utku Günay Acer, Chulhong Min, Fahim Kawsar, "Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras", In Proc. the 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2021), November 2021. Publisher PDF [Best student paper award]
  • Juheon Yi, Chulhong Min, Fahim Kawsar, "Vision Paper: Towards Software-Defined Video Analytics with Cross-Camera Collaboration", In Proc. ACM Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2021) in conjunction with ACM SenSys 2021, Coimbra, Portugal, November 2021. Publisher PDF
  • Dongwoo Kim, Chulhong Min, Seungwoo Kang, "Towards Automatic Recognition of Perceived Level of Understanding on Online Lectures using Earables", In Proc. ACM Workshop on Earable Computing (ACM EarComp 2021) in conjunction with ACM UbiComp 2021, Virtual, September 2021. Publisher PDF
  • Matija Franklin, David Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar, "Designing Memory Aids for Dementia Patients using Earables", In Proc. ACM Workshop on Earable Computing (ACM EarComp 2021) in conjunction with ACM UbiComp 2021, Virtual, September 2021. Publisher PDF
  • Chulhong Min, Akhil Mathur, Utku Gunay Acer, Alessandro Montanari, Fahim Kawsar "SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices", arXiv preprint arXiv:2109.03947 (2019) arXiv PDF
  • Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur, "Group Supervised Learning: Extending Self-Supervised Learning to Multi-Device Settings", In Proc. ICML 2021 Workshop Self-Supervised Learning for Reasoning and Perception in conjunction with ICML 2021, Virtual, July 2021. POSTER PDF

2020

  • Euihyeok Lee, Dongwoo Kim, Chulhong Min, Seungwoo Kang, "Poster Abstract: Automatic Recognition of Vocal Reactions in Music Listening using Smart Earbuds", In Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2020), Yokohama, Japan, November 2020. Publisher PDF
  • Dongwoo Kim, Chulhong Min, Seungwoo Kang, "Poster Abstract: Towards Recognizing Perceived Level of Understanding for Online Lectures using Earables", In Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2020), Yokohama, Japan, November 2020. Publisher PDF
  • Chunjong Park, Chulhong Min, Sourav Bhattacharya, Fahim Kawsar, "Augmenting Conversational Agents with Ambient Acoustic Contexts", In Proc. the 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (ACM MobileHCI 2020), October 2020. Publisher PDF
  • Chulhong Min, Youngki Lee, Chungkuk Yoo, Inseok Hwang, Younghyun Ju, Junehwa Song, Seungwoo Kang, "Scalable Power Impact Prediction of Mobile Sensing Applications at Pre-installation Time", In IEEE Transactions on Mobile Computing (TMC), Volume 19, Issue 6, pp. 1448-1464, June 2020. Publisher PDF

2019

  • Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar, "A Closer Look at Quality-Aware Runtime Assessment of Sensing Models in Multi-Device Environments", In Proc. the 17th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2019), New York, USA, Nov. 10-13, 2019. Publisher PDF
  • Mattia Antonini, Tran Huy Vu, Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar, "Resource Characterisation of Personal-Scale Sensing Models on Edge Accelerators", In Proc. ACM Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2019) in conjunction with ACM SenSys 2019, New York, USA, November 2019. Publisher PDF
  • Inseok Hwang, Youngki Lee, Chungkuk Yoo, Chulhong Min, Dongsun Yim, John Kim, "Towards Interpersonal Assistants: Next-generation Conversational Agents", IEEE Pervasive Computing, Volume 18, Issue 2, p. 21-31, August 2019. Publisher PDF
  • Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar, "An Early Characterisation of Wearing Variability on Motion Signals for Wearables", In Proc. the 2019 International Symposium on Wearable Computers (ISWC 2019), London, UK, Sep. 11-13, 2019. Publisher PDF
  • Chulhong Min, Euihyeok Lee, Souneil Park, Seungwoo Kang, "Tiger: Wearable Glasses for the 20-20-20 Rule to Alleviate Computer Vision Syndrome", In Proc. 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2019), Taipei, Taiwan, Oct. 1-4, 2019. Publisher PDF arXiv [Honorable Mention Award]
  • Chungkuk Yoo, Seungwoo Kang, Inseok Hwang, Chulhong Min, Seonghoon Kim, Wonjung Kim, Junehwa Song, "Mom, I see You Angry at Me! Designing a Mobile Service for Parent-child Conflicts by In-situ Emotional Emphaty", In Proc. ACM Workshop on Mobile Systems for Computational Social Science (ACM MCSS 2019) in conjunction with ACM MobiSys 2019, Seoul, South Korea, June 2019. Publisher PDF
  • Seungchul Lee, Chulhong Min, Alessandro Montanari, Akhil Mathur, Youngjae Chang, Junehwa Song, Fahim Kawsar, "Automatic Smile and Frown Recognition with Kinetic Earables", In Proc. 10th Augmented Human International Conference (AH 2019), Reims Champagne-Ardenne, France, March 2019. Publisher PDF
  • Mohammed Alloulah, Anton Isopoussu, Chulhong Min, Fahim Kawsar, "On Tracking the Physicality of Wi-Fi: A Subspace Approach", IEEE Access, Volume 7, p. 19965-19978, February 2019. Publisher PDF

2018

  • Chulhong Min, Mohammed Alloulah, Fahim Kawsar, "An Early Resource Characterisation of Wi-Fi Sensing on Residential Gateways", In Proc. ACM International Conference on Energy-Efficient Built Environments (ACM BuildSys 2018), Shenzhen, China, November 2018. Publisher PDF
  • Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck, "Demo Abstract: eSense - Open Earable Platform for Human Sensing", In Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2018), Shenzhen, China, November 2018. Publisher PDF
  • Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, "Earables for Personal-Scale Behavior Analytics", IEEE Pervasive Computing, Volume 17, Issue 3, p. 83-89, October 2018 Publisher PDF
  • Chulhong Min, Alessandro Montanari, Akhil Mathur, Seungchul Lee, Fahim Kawsar, "Cross-Modal Approach for Conversational Well-being Monitoring with Multi-Sensory Earables", In Proc. ACM Workshop on Computing for Well-being (ACM WellComp 2018) in conjunction with ACM UbiComp 2018, Singapore, Singapore, October 2018. Publisher PDF
  • Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck, "Demo: eSense - Open Earable Platform for Human Sensing", In Proc. ACM International Joint Conference and International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (ACM UbiComp 2018), Singapore, Singapore, October 2018. Publisher PDF
  • Euihyeok Lee, Chulhong Min, Seungwoo Kang, "Poster: Towards a Wearable Assistant to Prevent Computer Vision Syndrome", In Proc. ACM International Joint Conference and International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (ACM UbiComp 2018), Singapore, Singapore, October 2018. Publisher PDF
  • Seungchul Lee, Saumay Pushp, Chulhong Min, Junehwa Song, "Poster: Exploring Relationship-aware Dynamic Message Screening for Mobile Messengers", In Proc. ACM International Joint Conference and International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (ACM UbiComp 2018), Singapore, Singapore, October 2018. Publisher PDF
  • Chulhong Min, Akhil Mathur, Fahim Kawsar, "Exploring Audio and Kinetic Sensing on Earable Devices", In Proc. ACM Workshop on Wearable Systems and Applications (ACM WearSys 2018) in conjunction with ACM MobiSys 2018, Munich, Germany, June 2018. Publisher PDF
  • Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi, "Demo: eSense - Open Earable Platform for Human Sensing", In Proc. ACM Annual International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2018), Munich, Germany, June 2018. Publisher PDF
  • Chulhong Min, Akhil Mathur, Fahim Kawsar, "Poster: Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices", In Proc. ACM Annual International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2018), Munich, Germany, June 2018. Publisher PDF

2017

  • Bumsoo Kang, Chulhong Min, Wonjung Kim, Inseok Hwang, Chunjong Park, Seungchul Lee, Sung-ju Lee, Junehwa Song, "Zaturi: We Put Together the 25th Hour for You. Create a Book for Your Baby", In Proc. ACM Conference on Computer-Supported Cooperative Work and Social Computing (ACM CSCW 2017), Portland, Oregon, USA, February 2017. Publisher PDF VIDEO
  • Bumsoo Kang, Wonjung Kim, Inseok Hwang, Chunjong Park, Seungchul Lee, Chulhong Min, Sung-Ju Lee, Junehwa Song, "Zaturi: Blending Hours Spent at Work and Hours Devoted to Children", In Proc. ACM Conference on Computer-Supported Cooperative Work and Social Computing (ACM CSCW 2017), Portland, Oregon, USA, February 2017. Publisher PDF

2016

  • Chulhong Min, Seungchul Lee, Changhun Lee, Youngki Lee, Seungwoo Kang, Seungpyo Choi, Wonjung Kim, Junehwa Song, "PADA: Power-aware Development Assistant for Mobile Sensing Applications", In Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp 2016), Heidelberg, Germany, September 2016. Publisher PDF VIDEO
  • Youngki Lee, Seungwoo Kang, Chulhong Min, Younghyun Ju, Inseok Hwang, Junehwa Song, "CoMon+: A Cooperative Context Monitoring System for Multi-Device Personal Sensing Environments", In IEEE Transactions on Mobile Computing (TMC), Volume 15, Issue 8, pp. 1908-1924, August 2016. Publisher PDF
  • Chulhong Min, Youngki Lee, Chungkuk Yoo, Seungwoo Kang, Inseok Hwang, Junehwa Song, "PowerForecaster: Predicting Power Impact of Mobile Sensing Applications at Pre-installation Time", In GetMobile: Mobile Comp. and Comm. Volume 20, Issue 1 (July 2016), pages 30-33. Publisher PDF
  • Chulhong Min, "User Support for Battery Management of Continuous Sensing Applications", Ph.D. Thesis, School of Computing, KAIST, Feb 2016, [Outstanding Ph.D. Thesis Award in School of Computing at KAIST].

2015

  • Chulhong Min, Youngki Lee, Chungkuk Yoo, Seungwoo Kang, Sangwon Choi, Pillsoon Park, Inseok Hwang, Younghyun Ju, Seungpyo Choi, Junehwa Song, "PowerForecaster: Predicting Smartphone Power Impact of Continuous Sensing Applications at Pre-installation Time", In Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2015), Seoul, Korea, November 2015. Publisher PDF
  • Chulhong Min, Chungkuk Yoo, Sangwon Choi, Pillsoon Park, Seungchul Lee, Changhun Lee, Seungpyo Choi, Seungwoo Kang, Youngki Lee, Inseok Hwang, Younghyun Ju, Junehwa Song, "Demo: User Support for Power Management of Continuous Sensing Applications", In Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2015), Seoul, Korea, November 2015. Publisher PDF
  • Chulhong Min, Chungkuk Yoo, Inseok Hwang, Seungwoo Kang, Youngki Lee, Seungchul Lee, Pillsoon Park, Changhun Lee, Seungpyo Choi, Junehwa Song, "Sandra Helps You Learn: the More You Walk, the More Battery Your Phone Drains", In Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp 2015), Osaka, Japan, September 2015. Publisher PDF
  • Chulhong Min, Seungwoo Kang, Chungkuk Yoo, Jeehoon Cha, Sangwon Choi, Younghan Oh, Junehwa Song, "Exploring Current Practices for Battery Use and Management of Smartwatches", In Proc. Proceedings of the 19th International Symposium on Wearable Computers (ACM ISWC 2015), Osaka, Japan, September 2015. Publisher PDF
  • Sebastian Deterding, Andrés Lucero, Jussi Holopainen, Chulhong Min, Adrian Cheok, Annika Waern, Steffen Walz, "Embarrassing Interactions", In Embarrsing Interactions 2015, in conjunction with ACM CHI 2015, Seoul, Korea, April 2015. Publisher PDF

2014

  • Chulhong Min, Saumay Pushp, Seungchul Lee, Inseok Hwang, Youngki Lee, Seungwoo Kang, Junehwa Song, "Uncovering Embarrassing Moments in In-situ Exposure of Incoming Mobile Messages", In Proc. ACM Workshop on Mobile Systems for Computational Social Science (ACM MCSS 2014) in conjunction with with ACM UbiComp 2014, Seattle, USA, September 2014. Publisher PDF
  • Youngki Lee, Chulhong Min, Younghyun Ju, Seungwoo Kang, Yunseok Rhee, Junehwa Song, "An Active Resource Orchestration Framework for PAN-Scale, Sensor-Rich Environments", In IEEE Transactions on Mobile Computing (TMC), Vol. 13, Issue 3, March 2014. Publisher PDF
  • Inseok Hwang, Chungkuk Yoo, Chanyou Hwang, Dongsun Yim, Youngki Lee, Chulhong Min, John Kim, Junehwa Song, "TalkBetter: family-driven mobile intervention care for children with language delay ", In Proc. ACM conference on Computer supported cooperative work and social computing (ACM CSCW 2014), Baltimore, USA, February 2014. Publisher PDF [Best paper award]

2013

  • SangJeong Lee, Chulhong Min, Chungkuk Yoo, Junehwa Song, "Understanding Customer Malling Behavior in an Urban Shopping Mall using Smartphones", In Proc. ACM Workshop on Mobile Systems for Computational Social Science (ACM MCSS 2013) in conjunction with ACM UbiComp 2013, Zurich, Switzerland, September 2013. Publisher PDF
  • Youngki Lee, Chulhong Min, Chanyou Hwang, Jaeung Lee, Inseok Hwang, Younghyun Ju, Chungkuk Yoo, Miri Moon, Uichin Lee, Junehwa Song, "SocioPhone: Everyday Face-to-Face Interaction Monitoring Platform using Multi-phone Sensor Fusion", In Proc. ACM Annual International Conference on Mobile systems, applications, and services (ACM MobiSys 2013), Taipei, Taiwan, June 2013. Publisher PDF
  • Youngki Lee, Chulhong Min, Chanyou Hwang, Jaeung Lee, Inseok Hwang, Younghyun Ju, Chungkuk Yoo, Miri Moon, Uichin Lee, Junehwa Song, "Demo - SocioPhone: Everyday Face-to-Face Interaction Monitoring Platform using Multi-phone Sensor Fusion", In Proc. ACM Annual International conference on Mobile systems, applications, and services (ACM MobiSys 2013), Taipei, Taiwan, June 2013. Publisher PDF
  • Chulhong Min, Inseok Hwang, Jaeung Lee, Chanyou Hwang, Chungkuk Yoo, Miri Moon, Taiwoo Park, Changhoon Lee, Haechan Lee, Yuhwan Kim, Younghyun Ju, Youngki Lee, Uichin Lee, Junehwa Song, "ACM HotMobile 2013 Demo: Brining In-situ Social Awareness to Mobile Systems: Conversational Turn Monitoring and its Applications", In MC2R ’13: ACM Mobile Computing and Communication Review, vol. 17, no. 3 (2013) and In ACM Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2013), Jekyll Island, USA, February 2013. Publisher PDF [Best Demo Award]

2012

  • Younghyun Ju, Youngki Lee, Jihyun Yu, Chulhong Min, Insik Shin, Junehwa Song, "SymPhoney: A Coordinated Sensing Flow Execution Engine for Concurrent Mobile Sensing Applications", In Proc. ACM Conference on Embedded Network Sensor Systems (ACM SenSys 2012), Toronto, Canada, November 2012. Publisher PDF
  • Saumay Pushp, Chulhong Min, Youngki Lee, Chi Harold Lie, Junehwa Song, "Towards Crowd-aware Sensing Platform for Metropolitan Environments", In Proc. ACM Conference on Embedded Network Sensor Systems (ACM SenSys 2012), Toronto, Canada, November 2012. Publisher PDF
  • Youngki Lee, Younghyun Ju, Chulhong Min, Seungwoo Kang, Inseok Hwang, Junehwa Song, "CoMon: Cooperative Ambience Monitoring Platform with Continuity and Benefit Awareness", In Proc. ACM International Conference on Mobile systems, applications, and services (ACM MobiSys 2012), Low Wood Bay, Lake District, United Kingdom, June 2012. Publisher PDF
  • Chulhong Min, Wookhyun Han, Inseok Hwang, SangJeong Lee, Youngki Lee, Insik Shin, Junehwa Song, "Poster: Towards Mobile GPU-Accelerated Context Processing for Continuous Sensing Applications on Smartphones", In Proc. Annual International Conference on Mobile systems, applications, and services (ACM MobiSys 2012), Low Wood Bay, Lake District, United Kingdom, June 2012. Publisher PDF
  • Youngki Lee, Younghyun Ju, Chulhong Min, Seungwoo Kang, Inseok Hwang, Junehwa Song, "Demo: SenseTogether- Cooperative Ambience Monitoring Platform with Continuity and Benefit Awareness", In Proc. Annual International Conference on Mobile systems, applications, and services (ACM MobiSys 2012), Low Wood Bay, Lake District, United Kingdom, June 2012. Publisher PDF
  • Chulhong Min, "SensorShader: Mobile GPU-Accelerated Context Processing Engine for Sensing Applications on Smartphones", In MobiSys Ph.D. Forum, Low Wood Bay, Lake District, United Kingdom, June 2012.
  • Youngki Lee, Younghyun Ju, Chulhong Min, Jihyun Yu, Junehwa Song, "MobiCon: Mobile context monitoring platform, Incorporating Context-awareness to Smartphone-centric Personal Sensor Networks", In IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (IEEE SECON 2012), Seoul, Korea, June 2012. Publisher PDF
  • Youngki Lee, Sitharam S. Iyengar, Chulhong Min, Younghyun Ju, Seungwoo Kang, Taiwoo Park, Jinwon Lee, Yunseok Rhee, Junehwa Song, "MobiCon: A Mobile Context-monitoring Platform", In Communications of the ACM (CACM), Vol. 55, Issue 3, March 2012. Publisher PDF
  • Younghyun Ju, Chulhong Min, Youngki Lee, Jihyun Yu, Junehwa Song, "An Efficient Dataflow Execution Method for Mobile Context Monitoring Applications ", In Proc. IEEE International Conference on Pervasive Computing and Communications (PerCom 2012), Lugano, Switzerland, March 2012. Publisher PDF

2011

  • Chulhong Min, Chungkuk Yoo, Youngki Lee, Junehwa Song, "Healthopia: Towards Your Well-Being in Everyday Life (invited paper)", In Proc. International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2011), Barcelona, Spain, October 2011. Publisher PDF
  • Youngki Lee, Younghyun Ju, Chulhong Min, Seungwoo Kang, Yunseok Rhee, Junehwa Song, "Demo: CoMon – Resource-aware Cooperative Context Monitoring System for Smartphone-centric Sensor-rich PANs", In Proc. ACM Annual International Conference on Mobile systems, applications, and services (ACM MobiSys 2011), Washington, DC, USA, June 2011. Publisher PDF
  • Youngki Lee, Chulhong Min, Younghyun Ju, Saumay Pushp, Junehwa Song, "A Mobile Context Monitoring Platform for Pervasive Computing Environments (Invited paper)", In IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011), Daejeon, Korea, May 2011.

2010

  • Seungwoo Kang, Youngki Lee, Chulhong Min, Younghyun Ju, Taiwoo Park, Jinwon Lee, Yunseok Rhee, Junehwa Song, "Orchestrator: An Active Resource Orchestration Framework for Mobile Context Monitoring in Sensor-rich Mobile Environments", In Proc. IEEE International Conference on Pervasive Computing and Communications (PerCom 2010), Lugano, Switzerland, March 2012. Publisher PDF


       

My Datasets

WEEE

A multi-device and multi-modal dataset collected from 17 participants with 8 wearable devices placed on 4 body positions.

Learn More

FatigueSet

A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability, containing 13 hours of sensor data collected over 36 sessions from 14 sensors on four wearable devices.

Learn More

Ambient Acoustic Context

Ambient acoustic context dataset for building responsive, context-augmented voice assistants, containing 57,000 1-second segments for activities that occur in a workplace setting.

Learn More

Smartwatch Battery Usage

Battery usage data from 17 Android Wear smartwatch users over a period of about 3 weeks.

Learn More



       

Scholarly Services

Editorship

Organising
Committee

Program Committee
Membership


       

Internship Mentoring

Image placeholder

Memory-efficient Multi-DNN Inference System for Tiny AI Accelerators

— Changmin Jeon from Seoul National University in 2024
Image placeholder

Battery Balancing for Dynamic Workloads in Earables

— Sidharth Anupkrishnan from University of Massachusetts Amherst Amherst in 2024
Image placeholder

A Protocol for Secure Data Sharing Between Wearable Devices

— Sujin Han from KAIST in 2024
Image placeholder

Ultra-Low Power DNN Accelerators for IoT: Energy Characterization of the MAX78000

— Yushan Huang from Imperial College London in 2024
Image placeholder

Zero-interaction Multi-device Authentication without Central Trusted Party

— Adiba Orzikulova from KAIST in 2023
Image placeholder

Constructing Input Space for Cross-camera Collaboration

— Ila Gokarn from Singapore Management University in 2023
Image placeholder

Exploring Distributed Inference on Tiny AI Accelerators

— Arthur Moss from Newcastle University in 2023
Image placeholder

Cocoon: On-body Microphone Collaboration for Spatial Awareness

— Bhawana Chhaglani from University of Massachusetts Amherst in 2022
Image placeholder

Exploring Model Inference over Distributed Ultra-low Power DNN Accelerators

— Prerna Khanna from Stony Brook University in 2022
Image placeholder

Ultra-low Power DNN Accelerators for IoT: Resource Characterisation of the MAX78000

— Hyunjong Lee from KAIST in 2022
Image placeholder

A Multi-device and Multi-modal Dataset for Human Energy Expenditure Estimation using Wearable Devices

— Shkurta Gashi from USI in 2021
Image placeholder

Cross-camera Collaboration for Video Analytics on Distributed Smart Cameras

— Juheon Yi from Seoul National University in 2021
Image placeholder

SleepGAN: Towards Personalized Sleep Therapy Music

— Jing Yang from ETH Zurich in 2021
Image placeholder

FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability

— Manasa Kalanadhabhatta from University of Massachusetts Amherst in 2021
Image placeholder

Coordinating Multi-tenant Models on Heterogeneous Processors using Reinforcement Learning

— Jaewon Choi from Yonsei University in 2021
Image placeholder

Modelling Mental Stress using Smartwatch and Smart Earbuds.

— Andrea Patane from University of Oxford in 2019
Image placeholder

Resource Characterisation of Personal-scale Sensing Models on Edge Accelerators

— Mattia Antonini from FBK CREATE-NET and University of Trento in 2019
Image placeholder

Resource Characterisation of Personal-scale Sensing Models on Edge Accelerators

— Tran Huy Vu from SMU in 2019
Image placeholder

Design And Implementation Of Mobile Sensing Applications For Research In Behavioural Understanding

— Dmitry Ermilov from Skoltech in 2018
Image placeholder

Automatic Smile and Frown Recognition with Kinetic Earables

— Seungchul Lee from KAIST in 2018
Image placeholder

Resource Characterisation of Wi-Fi Sensing for Occupancy Detection

— Zhao Tian from Dartmouth College in 2017

       

Patents

ISSUED

  • [South Korea] Mobile apparatus, audio book creating system having the same and method of creating audio book using the same, Patent No. 10-2019-101591, 02 Sep. 2019.
  • [South Korea] Development assistant apparatus of mobile sensing application, development assistant system having the same, method of assisting development of mobile sensing application using the same, Patent No. 10-2019-0029298, 20 Mar. 2019.
  • [US] Language delay treatment system and control method for the same, Patent No. US9875668B2, 23 Jan. 2018.
  • [US] Mobile device executing face-to-face interaction monitoring, method of monitoring face-to-face interaction using the same, and interaction monitoring system including the same, and mobile interaction monitoring application executed on the same, Patent No. US9813879B2, 7 Nov. 2017.
  • [US] Mobile apparatus supporting cooperative context monitoring, method of cooperative context monitoring using the same and cooperative context monitoring system including the same, Patent No. US9756095B2, 5 Sep. 2017.
  • [South Korea] Communication apparatus for predicting power consumption of mobile application, communication system having the same, method of predicting power consumption of mobile application, Patent No. 10-1758267-0000, 10 Jul. 2017.
  • [US] Mobile apparatus for executing sensing flow for mobile context monitoring, method of executing sensing flow using the same, method of context monitoring using the same and context monitoring system including the same, Patent No. US9367664B2, 14 Jun. 2016.
  • [South Korea] Mobile device executing face-to-face interaction monitoring, method of monitoring face-to-face interaction using the same, and interaction monitoring system including the same, and mobile interaction monitoring application executed on the same, Patent No. 10-1559364-0000, 5 Oct. 2015.
  • [South Korea] Mobile apparatus for executing sensing flow for mobile context monitoring, method of executing sensing flow using the same, method of context monitoring using the same and context monitoring system including the same, Patent No. 10-1549002-0000, 26 Aug. 2015.
  • [US] Mobile apparatus executing efficient dataflow execution for mobile context monitoring, method of executing dataflow using the same, method of context monitoring using the same and context monitoring system including the same, Patent No. US9015729B2, 21 Apr. 2015.
  • [South Korea] Language delay treatment system and control method for the same, Patent No. 10-1478459-0000, 24 Dec. 2014.
  • [South Korea] Mobile apparatus executing efficient dataflow execution for mobile context monitoring, method of executing dataflow using the same, method of context monitoring using the same and context monitoring system including the same, Patent No. 10-1758267-0000, 29 May 2014.
  • [US] Mobile apparatus supporting context monitoring, method of monitoring context using the same and context monitoring system having the same, Patent No. US8599710B2, 3 Dec. 2013.
  • [South Korea] Mobile apparatus supporting cooperative context monitoring, method of cooperative context monitoring using the same and cooperative context monitoring system including the same, Patent No. 10-1394966-0000, 24 Sep. 2012.
  • [South Korea] Mobile apparatus supporting context monitoring, method of monitoring context using the same and context monitoring system having the same, Patent No. 10-1183124-0000, 10 Sep. 2012.
  • [South Korea] A system for providing group interactive contents, Patent No. 10-0959591-0000, 17 May 2010.
  • [South Korea] Multi-game supporting system using body-attached sensors and digital sport equipments, Patent No. 10-0943039-0000, 10 Feb. 2010.

PENDING

  • [Europe] A user authentication based on a blockchain, Application No. EP 22150646.2A, 12 July 2023.
  • [US] System and method for automatic detection of music listening reactions, and mobile device performing the method, Application No. US 17/565,894, 1 June 2023.
  • [US] Providing unlabelled training data for training a computational model, Application No. US 18/049,138, 18 May 2023.
  • [GB] A System for Runtime Automatic Compilation and Optimisation of Deep Learning Models for Edge Accelerators, Application No. GB 2006801.1, 7 May 2020.
  • [Europe] A Mobile System that Supports Social Mode-enabled Applications through Everyday Social Interaction Monitoring, Application No. EP 20275053.5, 5 Mar. 2020
  • [GB] Personalisation of Audio Models via Characterisation and Matching of User Voice Biometrics without Transmission of User's Data, Application No. GB 1916021.7, 4 Nov. 2019
  • [US] A method for quality-aware runtime assessment of sensing models in multi-device environments, Application No. 62/903565, 20 Sep. 2019
  • [US] Communication device for predicting power consumption of mobile application, communication system including same, method of predicting power consumption of mobile application and method of providing predicted power consumption of mobile application, using same, Application No. US20190101968A1, 16 Apr. 2019.
  • [Europe] A method for automatic and dynamic configuration of cameras using ear-worn sensors, Application No. EP 19158220.4, 19 Mar. 2019.
  • [Europe] A system for the detection of facial expression on kinetic earables, Application No. EP 19161913.9, 14 Mar. 2019.
  • [Europe] Signal subspace extent determination for Wi-Fi sensing, Application No. EP 18194599.9, 14 Sep. 2018.
  • [Europe] A method for augmenting user interface on earbuds using audio-kinetic model, Application No. EP 18188821.5, 14 Aug. 2018.
  • [Europe/US] Method and devices for processing sensor data, Application No. EP 17201078.7, US 2021376604A1 10 Nov. 2017.
  • [Europe] Occupancy detection using the MIMO structured model for minimising environmental effects, Application No. EP 17275148.9, 22 Sep. 2017.
  • [PCT] Communication apparatus for predicting power consumption of mobile application, communication system having the same, method of predicting power consumption of mobile application, PENDING, PCT/KR2017/002548, 9 Mar. 2017.
  • [South Korea] Method for displaying information for user terminal and control equipment for the same, Application No. 10-1385195-0000, 8 Apr. 2014.


   

Get In Touch

  • Email (work) chulhong.min at nokia-bell-lab dot com
    (personal) chulhong.min at gmail dot com
  • Address Nokia Bell Labs,
    21 J J Thomson Avenue,
    Cambridge, CB3 0FA, UK