Lakshmi N Reddi

New Mexico State University, USA

Sashidhar Chintalapati

New Mexico State University, USA

The Panel Moderators Lakshmi N Reddi and Sashidhar Chintalapati invite expat’23 participants to join a discussion on best practices to be promoted by the panel “Usage of Data-Informed Online Technologies for Teaching/Learning Success.” This panel discussion would result in valuable perspectives on Teaching/Learning success.

The participants on the panel come from Universities, Engineering Industries, and Government Agencies. The panel consists of representatives from three Universities, a major Engineering Industry, and National Science Foundation.

Carlos Jensen

University of California, San Diego, USA

De-Laine Cyrenne

California State University, Sacramento, USA

Lynn M. Tashiro

California State University, Sacramento, USA

Randolph Rothschild

Aerospace Industry, USA

Sherry Kollmann

New Mexico State University, USA

Soheil Fatehiboroujeni

Colorado State University, USA

Usage of Data-Informed Online Technologies for Teaching/Learning Success

This panel brings together experts from at least four US universities who have rich experiences in enhancing Teaching/Learning success. Covid-19 has highlighted the importance of online initiatives and provided an opportunity to design them for Teaching/Learning success. At New Mexico State University College of Engineering, we have a good track record of maintaining important data including student performance measures such as D/W/F, curricular complexity score changes, and course-specific indicators of student performance.

The technologies which allowed us to monitor curricular complexity scores, and technologies developed in-house to monitor student performance and interact with students on a timely basis will be emphasized in this panel. In addition, bringing students together to form virtual learning communities during Covid years has helped us develop valuable insights on how online technologies could significantly improve Teaching/Learning.

The other experts that will serve on this panel also have rich insights that would complement what we have from New Mexico state engineering. Our expectation is that the audience will develop a keen sense of inter-relationships between data gathering, online technologies, and student success. We are willing to include any additional dimensions as felt necessary by the conference organizers.

Jason Mansell

TECNALIA Research & Innovation, Bilbao, Spain

The Panel moderator Jason Mansell (Coordinator of the EU H2020 KYKLOS 4.0 Project) and the panelists invite expat'23 attendees to join a discussion on the latest advancements in delivering integrated circular manufacturing solutions on the “Data-Driven Circular Manufacturing” panel. The participants on the panel come from Universities, Research Centers and Industry involved in the EU H2020 KYKLOS 4.0 project (

Jochen Haenisch

Jotne Connect AS, Norway

Christophe Abel

CIRTES, France

Maddalena Rostagno

DIGRO, Italy

João Barata

University of Coimbra, Portugal

Catarina Silva

University of Coimbra, Portugal

Christos Koidis

EFB S. A., Greece

Data-Driven Circular Manufacturing

Industry 4.0 technologies are paving the way to circular manufacturing. This new paradigm contributes significantly to reduce all forms of waste by extensively deploying digital technologies and develop new business models. The opportunities for digital transformation are vast, however, creating business ecosystems operating with real-time data is quite challenging.
Despite the lack of operational use cases in circular manufacturing, the fact that interoperability by design and using open international standards is not yet a top priority on the agenda of manufacturers and technology suppliers, and that product traceability in distributed manufacturing networks presents many technical and organizational barriers, networked smart factories can cooperate in creating reconfigurable and reusable customized products using advanced circular manufacturing platforms. Circular manufacturing is limited when addressed independently by each organization, requiring decentralized architectures for digital transformation. The recently presented digital product passport exemplifies the importance of more circular and transparent supply chains.
This panel will discuss the most recent advances in providing integrated circular manufacturing solutions implemented in the EU H2020 KYKLOS 4.0 project, focusing on

  1. the digital twin at the core of a circular manufacturing ecosystem,
  2. examples of pilots covering various economical sectors,
  3. the role of standardization in the design and operation of the KYKLOS 4.0 circular manufacturing platform,
  4. how artificial intelligence is transforming traditional manufacturing processes, and
  5. digital life cycle analysis.

Mario Bochicchio

Università degli Studi di Bari Aldo Moro, Italy

Susan Zvacek, USA

Come to this panel to get an overview of ChatGPT and similar programs newly on the scene, ask questions and (possibly) get answers, and see ChatGPT in action. We are all learning as we go, so let’s help one another and learn together.

Andreas Pester

British University in Egypt, Egypt

Catarina Silva

University of Coimbra, Portugal

Domenico Bochicchio

CEO of Asclepyus, Milano, Italy

James Wolfer

Indiana University South Bend

Sashidhar Chintalapati

New Mexico State University, USA

ChatGPT: Words in the Wild

This panel will address the implications and possibilities surrounding ChatGPT, the conversational artificial intelligence available to the public beginning in November 2022. Starting with a description of how generative technologies and natural language processing are already influencing our daily lives, the panel will discuss the transformational potential of ChatGPT and similar tools.
How profoundly can these technologies change our lives and work? What ethical and social issues need to be addressed?
These systems are deeply rooted in a peculiar "computational learning" approach which challenges us as computational scientists, educational scientists, researchers, and human beings. In this perspective the panel will discuss the potential for appropriate, innovative, effective, and values-based applications of this technology as well as the risks associated with their unintentional misuse or intentional corruption.

Keywords: ChatGPT, AI, Natural Language Processing