Course Description and Rationale: Computational methods are inevitable tools for many facets of information systems research. These methodologies are used as fundamental tools and techniques in research and advanced practice in information systems, with particular focus on networking hardware and software technologies that deal with data and systems. Data becomes useful when it provides meaningful information through data analysis and mining, pattern recognition and learning, information extraction and visualization. System becomes useful when it meets the required end performance metrics through the governing policies and procedures and underlying models and simulations. Sophisticated data analysis and system performance measurements require a mixture of skills ranging from algorithmic foundation, data mining, machine learning, computational modeling, and information systems performance evaluation. This course covers the mixture of these skills with the goal of providing information science graduate and masters students with the ability to employ them in future research. The course is project- based, allowing students to understand the use of computational methods to pursue research objectives and interests.

Course Topics:

• • Algorithmic Complexity

  • System Modeling and Performance Measurement

  • Computational Techniques for Cyber-Physical Systems

  • Computational Techniques for Smart Service Systems

  • Information and Communication Technology

  • Applications

In this course we will be discussing various papers recently published in ACM/IEEE UBICOMP (IMWUT) / ISWC 2020. Please check the following link.

https://ubicomp.org/ubicomp2020/program/agenda/

IMWUT 2019-2020

A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesDecember 2019

Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies December 2019 Yue (Jeanette) Huang

"He Is Just Like me”: A Study of the Long-Term Use of Smart Speakers by Parents and Children, ACM Interact. Mob. Wearable Ubiquitous Technol., Vol. 4, No. 1, 2020 Ali Alsarhan

Investigating Users' Preferences and Expectations for Always-Listening Voice Assistants, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, December 2019

A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing, ISWC '20: Proceedings of the 2020 International Symposium on Wearable Computers, September 2020 Tashnim Chowdhury

AuraRing: Precise Electromagnetic Finger Tracking, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, December 2019

Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in Stroke Survivors, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, December 2019 Debvrat Varshney

Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, December 2019 Xiangyang Meng

Intermittent Learning: On-Device Machine Learning on Intermittently Powered System, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, December 2019 Tobi Odunsi

Conversational Technologies for In-home Learning: Using Co-Design to Understand Children’s and Parents’ Perspectives, ACM CHI 2020

Privacy Adversarial Network: Representation Learning for Mobile Data Privacy, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, December 2019 Zahid Hasan

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, March 2020 Josh Bolton

Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation, CVPR 2020 Masud Ahmed

Graph Neural Networks for Social Recommendation, World Wide Web Conference, 2019 Pretom Roy Ovi

Oct 13 Presentations:

• Zahid Hasan: Privacy Adversarial Network: Representation Learning for Mobile Data Privacy

Oct 20 Presentations:

• Tobi Odunsi: Intermittent Learning: On-Device Machine Learning on Intermittently Powered System

• Jeanette Huang: Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning

• Pretom Roy Ovi: Graph Neural Networks for Social Recommendation

Oct 27 Presentations:

• Josh Bolton: Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

• Sahara Ali: Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery

• Masud Ahmed: Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation

• Xiangyang Meng: Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity

• Tashnim Chowdhury: A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing

• Ali Alsarhan: "He Is Just Like me”: A Study of the Long-Term Use of Smart Speakers by Parents and Children

Nov 3 Presentations:

• Debvrat Varshney: Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in Stroke Survivors

• Arjun Pandya: Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity

Sample Research Project Reports:

David Welsh and Nirmalya Roy. Smartphone-based Mobile Gunshot Detection, In Proceedings of the 13th Workshop on Context and Activity Modeling and Recognition (CoMoRea’17), co-located with PerCom, March 2017. [pdf]

H M Sajjad Hossain, Md Abdullah Al Hafiz Khan, and Nirmalya Roy. SoccerMate: A Personal Soccer Attribute Profiler using Wearables, in Proceedings of the 1st IEEE PerCom International Workshop on Behavioral Implications of Contextual Analytics (BICA), co-located with PerCom, March 2017. [pdf]

Abu Zaher Md Faridee, Sreenivasan Ramasamy Ramamurthy, H M Sajjad Hossain, and Nirmalya Roy. HappyFeet: Recognizing and Assessing Dance on the Floor, in Proceedings of the ACM 19th International Workshop on Mobile Computing Systems and Applications (HotMobile), Feb. 2018 [pdf]

Varun Mandalapu, Lavanya Elluri and Nirmalya Roy. Developing Machine Learning based Predictive Models for Smart Policing, in Proceedings of the 1st IEEE International Students Workshop on Smart Computing (SmartStudents), co-located with SmartComp, pp. 1-6, Washington D.C., June 2019