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

Research Reflection Schedule

• Masnoon Nafees: Smart Factories for Human-Robot Workflow
• Emon Dey: Building Energy-Efficient IoT Frameworks
• Raja Yalamanchi: A Smart, Hyperlocal, Context-Aware Hazard Notification Service System
• Xinbo Yang: Fitness app connects exercisers to experts
• Teja Pasam: Mobile Assistive Robots for Elderly Care

In this course we will be discussing various papers recently published in ACM/IEEE UBICOMP (IMWUT) / ISWC 2019. Please check the following link.

http://ubicomp.org/ubicomp2019/program_papers.html

Oct 8 Presentations:

• Indrajeet Ghosh: Bringing IoT to Sports Analytics
• Neil Kpamegan: Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media

Oct 15 Presentations:

• Saydeh Karabatis: Beyond Respiration: Contactless Sleep Sound-Activity Recognition Using RF Signals:
• Rohan Putatunda: The Case for Smartwatch-based Diet Monitoring
• Emon dey: A First Look at Deep Learning Apps on Smartphones
• Md Mahmudur Rahman: Detecting Unseen Anomalies in Weight Training Exercises
• Redwan Walid: Reducing Inefficiencies in Taxi Systems
• Masnoon Nafees: Using Built-In Sensors to Predict and Utilize User Satisfaction for CPU Settings on Smartphones

Oct 22 Presentations:

• ARGHO Sarkar: Swimming style recognition and lap counting using a smartwatch and deep learning
• Antonios Xenakis: A Data-Driven Misbehavior Detection System for Connected Autonomous Vehicles
• Raja A Yalamanchi: Understanding Cycling Trip Purpose and Route Choice Using GPS Traces and Open Data
• Teja Pasam: Using Unobtrusive Wearable Sensors to Measure the Physiological Synchrony Between Presenters and Audience Members
• Xinbo Yang: Integrating Cyber-Physical Systems in a Component-Based Approach for Smart Homes

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