Foster Collaboration
Create a synergistic space for university researchers and industry leaders to share empirical data and case studies.
Research and Industry Nexus: Bridging Academia and Practice for Next- Generation Engineering Education
Track Chair: Dr. AMIT KUMAR, BioAxis DNA Research Centre (P) Ltd, India
Track Overview & Rationale:
The rapid evolution of generative AI, green technology, and industrial automation requires an unprecedented alignment between academic curricula and industry realities. This track serves as a premier forum to bridge the gap between rigorous academic research and pragmatic industrial insights. By focusing on co-designed curricula, experiential learning, and industry-validated assessments, the track provides actionable frameworks to prepare engineering graduates for immediate, high-impact workforce integration.
Track Objectives:
Advance Pedagogy
Showcase innovative teaching methodologies that incorporate real-world industrial problem-solving into engineering classrooms.
Enhance Employability
Explore novel assessment frameworks that validate both technical mastery and professional & skills demanded by modern employers.
Call For Papers
We invite researchers and industry practitioners to submit original, unpublished work aligning with the scope of this track.
High-Trend Topics & Scope
Topics of interest include, but are not limited to, the following contemporary industry-academia themes:
Generative AI & LLMs in Engineering Workforces
Co-developing university-industry guidelines for the ethical and practical deployment of AI coding assistants (e.g., GitHub Copilot) in professional engineering environments.
Industry 5.0 & Human-Centric Automation
Curriculum design balancing advanced robotics/automation with human-centric, resilient, and sustainable engineering practices.
Green Tech & Circular Economy Competencies
Frameworks for embedding environmental sustainability, carbon accounting, and clean-energy practices into legacy engineering programs to meet corporate ESG targets.
Immersive Workforce Upskilling
Utilizing VR/AR, Digital Twins, and Metaverse environments for high-risk industrial safety training, remote lab instruction, and
virtual apprenticeships.
Micro-credentials & Agile Education Ecosystems
Collaborative frameworks between universities and big tech (e.g., Google, AWS, NVIDIA) for stacked micro-credentials, continuous workplace upskilling, and alternative pathways to professional licensure.
Submission Guidelines & IEEE TALE Formatting
Full Technical/short Papers (2 to 4 pages): Presenting mature research, empirical evaluations, or large-scale implementation results. Strict maximum of 4 pages. Describing promising ongoing projects, innovative classroom interventions, or industry case studies.
Formatting: All submissions must be written in English, follow the IEEE standard two-column conference format (A4), and be submitted as readable PDFs. Papers violating page limits or formatting will be rejected without review. Accepted and presented papers will be submitted for inclusion in the IEEE Xplore Digital Library.
Track Key Dates
Paper Submission Deadline: June 30, 2026
Notification of Acceptance: August 15, 2026
Camera-Ready Paper Due: September 15, 2026
Conference Dates: December 2-4, 2026
Contact & Inquiries:
For questions regarding the track scope, industrial partnerships, or submission suitability, please contact Track Chair at [email protected].