AI4EPT 2021: 1st International Workshop on Artificial Intelligence for Enterprise Process Transformation, 2021 New Delhi, India, May 11-14, 2021 |
Conference website | https://ai4ept-pakdd2021.mybluemix.net/ |
Submission link | https://easychair.org/conferences/?conf=ai4ept2021 |
Submission deadline | February 8, 2021 |
The AI4EPT 2021 workshop will focus on the theme of advanced analytics for enterprise process transformation. Process transformations may include analytics, automation, and optimization. Enterprise processes include core business processes as well as other processes such as Information Technology (IT) processes and software development processes, with increasing digitization and automation. Both research (theoretical or applied) and real-world application papers are welcome.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers: Authors are invited to submit original, previously unpublished research papers. We will accept different types of contributions:
- Research papers, up to 10 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication concurrently elsewhere.
- Experience/Industry papers, up to 10 pages, describing experiences with the novel application of AI techniques to enterprise processes. Such papers should include clear descriptions of the motivations underlying the use of AI for Enterprise Process Transformation, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication concurrently elsewhere.
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Papers should be written in English, following Springer LNCS style including all text, references, appendices, and figures. Since it is single blind review process, please include author names and affiliations. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html. Submitted papers will be evaluated by at least three members of the international program committee. At least one author of each accepted paper must register and participate in the workshop to present the paper. The workshop papers will be included in a LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer .
List of Topics
- Multi-modal process artefacts analysis
- Causal analysis
- Methods for decomposing complex processes and orchestrating tasks
- Methods for transfer learning and generalization across process tasks
- Bayesian methods for probabilistic process modeling and optimization
- Game theoretic models for agent cooperation and competition within a process
- Reinforcement learning (RL) and Multi-Agent RL techniques for process transformation
- Simulation for enterprise processes
- Goal driven approaches for process optimization
- Natural Language Processing in Process Transformation
- Process Mining using AI techniques
- Recommender Systems for enterprise processes
- Explainable AI for enterprise processes
- Knowledge driven Process Representation
- Applications of AI including ML, DL and optimization methods, in process transformation,
- Applications of AI for enrichment of IoT-enabled processes
- Applications of AI for Blockchain-hosted processes
- Applications of AI for cloud hosted processes
- Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare)
Committees
Organizing committee
- Monika Gupta, Research Scientist, IBM Research
- Kushal Mukherjee, Research Scientist, IBM Research
- Shrihari Vasudevan, Principal Data Scientist, Ericsson, India
- Prerna Agarwal, Staff Research Engineer, IBM Research
- Rakesh R Pimplikar, Senior Research Engineer, IBM Research - India
- Sampath Dechu, Research Manager, IBM Research
Venue
The AI4EPT 2021 Workshop will be held as part of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021) in New Delhi, India (11-14 May 2021)
Contact
If you have any questions, please feel free to contact Kushal Mukherjee (kushmukh@in.ibm.com) or Monika Gupta (mongup20@in.ibm.com)