Schedule

Please, access the links below to see the schedule
# Date Link
Day 1 November 30 Click here
Day 2 December 1 Click here
December 2 Break
Day 3 December 3 Click here
Day 4 December 4 Click here

Tutorials

Day 1

Title Speakers Affiliation
A Practical Understanding of AI for Executives John Thompson (Global Head, Advanced Analytics & AI) CSL Behring
AI for Automotive Industry: Industry Case Studies Ben Amaba (CTO) and Jeffrey A. Baetz (CTO) IBM
Decision-Making AI: New Opportunities Karim Beguir (CEO) Instadeep
What it Takes to Design Deep Learning-based Code Smells Detector Tushar Sharma (Senior Scientist) Siemens
Software Engineering Intelligence: Foundations, Case Studies and Future Directions Marouane Kessentini (DAIR Founding Director) University of Michigan-Dearborn

Day 2

Title Speakers Affiliation
Introduction to Robot Operating System (ROS) by Example; a CNN-based Person Following Robot Samir Rawashdeh (Associate Professor) University of Michigan-Dearborn
Introduction to Machine Learning in Python with Scikit-learn Fred Feng (Assistant Professor) University of Michigan-Dearborn
AI for Good – Using AI to Identify Fake Online Reviews Curtis Boyd (CEO) Objection Co.
An Agile Approach to AI Carlo Appugliese (AI/ML, Program Director) IBM

Day 3

Title Speakers Affiliation
The Evolution of AI in the Automotive Industry Shuchita Gupta (Executive Cloud/ Data & AI Architect) IBM
Creating Augmented Reality Applications without Code Mahmoud Mattan (CEO) BrandXR
Smart Supply Chain Management in Organized Industry Zones Serhan Dagtas (Professor) UALR
Beyond Chatting. How a Chat Bot Elevates HCI Mike McMahon (Data Architecture Executive) and Dale Mumper (Technical Specialist) IBM

Posters/Demos

Day 1

TitleAuthorsAffiliation
Multimodal Monitoring of Driver’s AlertnessMichalis Papakostas, Kapotaksha Das, Kais Riani, Mohamed Abouelenien, MIhai Burzo, and Rada MihalceaUniversity of Michigan
Harnessing ML Explainability for Causal Analysis of Evasion Attacks on Malware ClassifiersAbderrahmen Amich and Birhanu EsheteUniversity of Michigan-Dearborn
Sensory Motor Integration Learning for Autonomous DrivingMohamed Houssem Fehri and Jaerock KwonUniversity of Michigan-Dearborn
How Far We are for ML DevOps: A Large-Scale Empirical AnalysisDhia Elhaq Rzig and Foyzul HassanUniversity of Michigan-Dearborn
How Does Refactoring Impact Security When Improving Quality? A Security-Aware Refactoring ApproachChaima Abid, Marouane Kessentini, Vahid Alizadeh, Mouna Dhaouadi, and Rick KazmanUniversity of Michigan-Dearborn

Day 2

TitleAuthorsAffiliation
Circadian State DetectionSalem Sharak, Das Kapotaksha, Kais Riani, and Mohamed AbouelenienUniversity of Michigan-Dearborn
Autonomous Vehicle Research PlatformJaerock Kwon, and Rohan Pradeepkumar NairUniversity of Michigan-Dearborn
Breast Cancer Survivorship Care PlanDana Moukheiber, and Saurabh MahindreUB
Dependent or Not: Detecting and Understanding Collections of RefactoringsThiago Ferreira, James Ivers, Jeffrey J. Yackley, Ipek Ozkaya, and Marouane KessentiniUniversity of Michigan-Dearborn and Carnegie Mellon University
Interactive Refactoring Documentation BotSoumaya Rebai, Oussama Ben Sghaier, Vahid Alizadeh, Marouane Kessentini and Meriem ChaterUniversity of Michigan-Dearborn

Day 3

TitleAuthorsAffiliation
Privacy-Preserving Collaborative Inference in a Multi-Party SettingIsmat Jarin, and Birhanu EsheteUniversity of Michigan-Dearborn
Multimodal Political Deception DetectionManvi Kamboj, Christian Hessler, Priyanka Asnani, Kais Riani, and Mohamed AbouelenienUniversity of Michigan-Dearborn
Compensatin Latency in Autonomous DrivingSanjyot Thete and Jaerock KwonUniversity of Michigan-Dearborn
Method-Level Bug Localization Using Hybrid Multi-objective SearchRafi Almhana, Marouane Kessentini, and Wiem MkaouerUniversity of Michigan-Dearborn
Nautilus: An Interactive Plug and Play Search Based Software Engineering FrameworkThiago do Nascimento Ferreira, Silvia Regina Vergilio and Marouane KessentiniUniversity of Michigan-Dearborn and Federal University of Parana