Workshop Program

11:00-13:00	EMERGE Morning session   Chair: Ramona Marfievici   Room: Al Khaznah 1
11:00-11:10	Opening Remarks
11:10-12:10	Keynote
12:10-12:55	Technical session 1 (x3 15')
13:00-14:00	Lunch - Location: The Terrace on the Corniche
14:00-15:20	EMERGE Afternoon session   Chair: Anca Hangan   Room: Al Khaznah 1
14:00-14:45	Technical session 2 (x3 15')
14:45-15:15	Open discussions
15:15-15:20	Closing Remarks

Keynote:
Evolving MLOps for IoT: Continuous Learning, Distributed Deployment, and Monitoring

Dr Aftab Khan, Bristol Research and Innovation Laboratory, Toshiba Europe Ltd., UK Dr. Aftab Khan holds a Ph.D. in machine learning from the University of Surrey, U.K., and is a recognized leader in Distributed AI with over a decade of experience in both academia and industry. Currently the Distributed AI Programme Leader at Toshiba Europe's Bristol Research and Innovation Laboratory, he has contributed significantly to several high-profile EU and EPSRC projects, including EU Horizon REPLICATE, SiDE, TEDDI, and ACASVA, as well as industry-led Innovate UK initiatives like SYNERGIA and CAVShield. Dr. Khan's research focuses on areas such as AI-driven cybersecurity, computational behavior analysis, and pattern recognition. His deep expertise is shaping the future of distributed MLOps frameworks, bridging cutting-edge research with impactful real-world applications.

Technical session 1:

FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments
Ioannis Mavromatis (Digital Catapult, UK), Stefano De Feo (University of Bristol, UK), Aftab Khan (Toshiba Europe Ltd. Bristol, UK)

MatchCurv: Communication-Efficient Decentralized Federated Learning in Heterogeneous Environments
Harsha Praneeth Dussa, Janek Haberer, Olaf Landsiedel (Kiel University, DE)

Customizing Pre-Processing Algorithms for Streaming Sensor Data on Embedded Networked Devices
Dragos Lazea, Tudor Cioara, Anca Hangan (Technical University of Cluj-Napoca, RO), Zsolt Istvan (Technical University of Darmstadt, DE)

Technical session 2:

Efficient and Effective Multi-Objective AutoML for Industrial Data Analytics
Tanmay Goyal (ABB Research & Development Center, DE), Pengcheng Huang, Balz Maag (ABB Research Center, CH)

Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection
Jakob Schack, Katarina Petrovic (Graz University of Technology, AU), Olga Saukh (Institute of Technical Informatics, Graz University of Technology, AU)

EVs Coordination to Maximize the Usage of Local Renewable Energy
Cristina Pop, Viorica Chifu, Anamaria Raita, Tudor Cioara, Ionut Anghel, Marius Joldos (Technical University of Cluj-Napoca, RO)