TCSE logo 
 Sigsoft logo
Sustainability badge
VenueRogers Centre, Ottawa (formerly Shaw Centre)
Room name208
Floor2
Room number208
Capacity210
Room Information

From Wed-Fri 208 will be combined with 206.

See map. 208 entrance is at the far end of the northern little corridor from the Rideau Canal Atrium (RCC), past the entrance to 204 and just after the entrance to 206

Although they are very close, you will not be able to access 207 from 208 directly; to access it go round the corner to the RCN area.

Program

This program is tentative and subject to change.

You're viewing the program in a time zone which is different from your device's time zone change time zone

Sun 27 Apr

Displayed time zone: Eastern Time (US & Canada) change

09:00 - 10:30
Opening / Is Prompt Engineering?CAIN Research and Experience Papers at 208
09:00
30m
Day opening
Opening
CAIN Research and Experience Papers

09:30
60m
Keynote
Is Prompt Engineering? by Jeremy Barnes
CAIN Research and Experience Papers

11:00 - 12:30
11:00
15m
Talk
How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
CAIN Research and Experience Papers
Shreyas Kumar Parida ETH Zurich, Ilias Gerostathopoulos Vrije Universiteit Amsterdam, Justus Bogner Vrije Universiteit Amsterdam
11:15
15m
Talk
MLScent: A tool for Anti-pattern detection in ML projects
CAIN Research and Experience Papers
Karthik Shivashankar University of Oslo, Antonio Martini University of Oslo
11:30
15m
Talk
RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios
CAIN Research and Experience Papers
Shangeetha Sivasothy Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Deakin University, Australia, Stefanus Kurniawan Deakin University, Zafaryab Rasool Applied Artificial Intelligence Institute, Deakin University, Rajesh Vasa Deakin University, Australia
11:45
15m
Talk
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
CAIN Research and Experience Papers
Vince Nguyen Vrije Universiteit Amsterdam, Hieu Huynh Vrije Universiteit Amsterdam, Vidya Dhopate Vrije Universiteit Amsterdam, Anusha Annengala Vrije Universiteit Amsterdam, Hiba Bouhlal Vrije Universiteit Amsterdam, Gian Luca Scoccia Gran Sasso Science Institute, Matias Martinez Universitat Politècnica de Catalunya (UPC), Vincenzo Stoico Vrije Universiteit Amsterdam, Ivano Malavolta Vrije Universiteit Amsterdam
12:00
15m
Talk
Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models
CAIN Research and Experience Papers
Evangelos Ntentos University of Vienna, Stephen John Warnett University of Vienna, Uwe Zdun University of Vienna
12:15
15m
Talk
Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
CAIN Research and Experience Papers
Rodrigo Ximenes Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Antonio Pedro Santos Alves Pontifical Catholic University of Rio de Janeiro, Tatiana Escovedo Pontifical Catholic University of Rio de Janeiro, Rodrigo Spinola Virginia Commonwealth University, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
14:00 - 15:30
14:00
12m
Talk
Themes of Building LLM-based Applications for Production: A Practitioner's View
CAIN Research and Experience Papers
Alina Mailach Leipzig University, Sebastian Simon Leipzig University, Johannes Dorn Leipzig University, Norbert Siegmund Leipzig University
14:12
12m
Talk
LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?
CAIN Research and Experience Papers
Oluwafemi Odu York University, Alvine Boaye Belle York University, Song Wang York University
14:25
12m
Talk
An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
CAIN Research and Experience Papers
Hamed Barzamini , Fatemeh Nazaritiji Northern Illinois University, Annalise Brockmann Northern Illinois University, Hasan Ferdowsi Northern Illinois university, Mona Rahimi Northern Illinois University
14:51
12m
Talk
Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
CAIN Research and Experience Papers
Kannan Parthasarathy MontyCloud, Karthik Vaidhyanathan IIIT Hyderabad, Rudra Dhar SERC, IIIT Hyderabad, India, Venkat Krishnamachari MontyCloud, Adyansh Kakran International Institute of Information Technology, Hyderabad, Sreemaee Akshathala IIIT Hyderabad, Shrikara Arun IIIT Hyderabad, Amey Karan IIIT Hyderabad, Basil Muhammed MontyCloud, Sumant Dubey MontyCloud, Mohan Veerubhotla MontyCloud
15:04
12m
Talk
Generating and Verifying Synthetic Datasets with Requirements Engineering
CAIN Research and Experience Papers
Lynn Vonderhaar Embry-Riddle Aeronautical University, Timothy Elvira Embry-Riddle Aeronautical University, Omar Ochoa Embry-Riddle Aeronautical University
15:17
12m
Talk
InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models
CAIN Research and Experience Papers
Maryam Ekhlasi Polytechnique Montreal, Anurag Prakash Ciena, Michel Dagenais Polytechnique Montréal, Maxime Lamothe Polytechnique Montreal
16:00 - 17:30
16:00
15m
Talk
DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation
CAIN Research and Experience Papers
Jinyang Li , Sangwon Hyun CREST, University of Adelaide, Muhammad Ali Babar School of Computer Science, The University of Adelaide
16:15
10m
Talk
From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems
CAIN Research and Experience Papers
Yining Hong Carnegie Mellon University, Christopher Timperley , Christian Kästner Carnegie Mellon University
16:25
15m
Talk
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
CAIN Research and Experience Papers
Boyue Caroline Hu University of Toronto, Divya Gopinath KBR; NASA Ames, Ravi Mangal Colorado State University, Nina Narodytska VMware Research, Corina S. Păsăreanu Carnegie Mellon University, Susmit Jha SRI
16:40
10m
Talk
Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
CAIN Research and Experience Papers
Chandrasekar S IIIT Hyderabad, Vyakhya Gupta IIIT Hyderabad, Prakhar Jain IIIT Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad
16:50
15m
Talk
Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
CAIN Research and Experience Papers
Niels With Mikkelesn Jyske Bank, Lasse Pedersen Jyske Bank, Mansoor Hussain Jyske Bank, Victor Foged Deloitte, Ekkart Kindler Technical University of Denmark
17:05
15m
Talk
ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
CAIN Research and Experience Papers
Sergio Morales Universitat Oberta de Catalunya, Robert Clarisó Universitat Oberta de Catalunya, Jordi Cabot Luxembourg Institute of Science and Technology
17:20
10m
Talk
Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
CAIN Research and Experience Papers
Santiago del Rey Universitat Politècnica De Catalunya - Barcelona Tech, Adrià Medina Universitat Politècnica de Barcelona - BarcelonaTech (UPC), Xavier Franch Universitat Politècnica de Catalunya, Silverio Martínez-Fernández UPC-BarcelonaTech
Pre-print

Mon 28 Apr

Displayed time zone: Eastern Time (US & Canada) change

09:00 - 10:30
09:00
60m
Keynote
Beyond Machine Learning and Foundation Models: A Research Roadmap for Multi-Paradigm AI Engineering by Prof. Marcos Kalinowski
CAIN Research and Experience Papers

10:00
30m
Poster
Posters
CAIN Research and Experience Papers

11:00 - 12:30
11:15
15m
Talk
Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
CAIN Research and Experience Papers
Hui Song SINTEF Digital, Arda Goknil SINTEF Digital, Xiaojun Jiang Oslo University Hospital, Espen Melum Oslo University Hospital, Hyunwhan Joe Seoul National University, Caterina Gazzotti University of Modena, Valerio Frascolla Intel, Adela Nedisan Videsjorden SINTEF, Phu Nguyen SINTEF
11:30
15m
Talk
Towards Continuous Experiment-driven MLOps
CAIN Research and Experience Papers
Keerthiga Rajenthiram Vrije Universiteit Amsterdam, Milad Abdullah Charles University, Ilias Gerostathopoulos Vrije Universiteit Amsterdam, Petr Hnětynka Charles University, Tomas Bures Charles University, Czech Republic, Gerard Pons Universitat Politècnica de Catalunya, Barcelona, Spain, Besim Bilalli Universitat Politècnica de Catalunya, Barcelona, Spain, Anna Queralt Universitat Politècnica de Catalunya, Barcelona, Spain
11:45
15m
Talk
Designing and implementing LLM guardrails components in production environments
CAIN Research and Experience Papers
12:00
15m
Talk
Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development
CAIN Research and Experience Papers
Razan Abualsaud IRIT, CNRS, Toulouse
12:15
15m
Talk
LoCoML: A Framework for Real-World ML Inference Pipelines
CAIN Research and Experience Papers
Kritin Maddireddy IIIT Hyderabad, Santhosh Kotekal Methukula IIIT Hyderabad, Chandrasekar S IIIT Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad

Mon 28 Apr

Displayed time zone: Eastern Time (US & Canada) change

Tue 29 Apr

Displayed time zone: Eastern Time (US & Canada) change

Room9:003010:003011:003012:003013:003014:003015:003016:003017:0030
208

Sat 3 May

Displayed time zone: Eastern Time (US & Canada) change

Room9:003010:003011:003012:003013:003014:003015:003016:003017:0030
208

Sun 27 Apr

Displayed time zone: Eastern Time (US & Canada) change

Room9:0015304510:0015304511:0015304512:0015304513:0015304514:0015304515:0015304516:0015304517:00153045
208

:
: