2026 IEEE INTERNATIONAL CONFERENCE ON

Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering

OCTOBER 20-22, 2026 · CHEMNITZ, GERMANY

THEMATIC SESSION #37

Responsible Metrology for XR, AI, and Neural Systems: From IoT Infrastructure to Human Data

ORGANIZED BY

Gupta Pooja Gupta

Pooja Gupta

Manipal University Jaipur

George Anju Susan George

Anju Susan George

Manipal University Jaipur

Mahala Neha Mahala

Neha Mahala

Manipal University Jaipur

THEMATIC SESSION DESCRIPTION

The rapid integration of eXtended Reality (XR), Artificial Intelligence (AI), and Neural Engineering systems into real-world applications demands measurement frameworks that are not only accurate and scalable, but also transparent, trustworthy, and human-aware. These systems increasingly rely on IoT-enabled and cyber-physical infrastructures to capture, process, and interpret large volumes of heterogeneous data, including sensitive human-centric and neural information.This thematic session focuses on responsible metrology approaches that ensure reliability, interoperability, ethical compliance, and accountability across the full measurement pipeline—from sensor-level data acquisition and cyber-physical integration to human-aware metrics and system validation. Emphasis is placed on measurement standards, uncertainty management, validation methodologies, and trust mechanisms for XR, AI, and neural systems operating in complex, dynamic environments. Key challenges addressed include ensuring traceability and standardization in intelligent measurement systems, validating AI-driven and data-driven measurements, managing privacy and ethical considerations in human and neural data, and designing measurement frameworks that remain interpretable and robust in human-in-the-loop scenarios.

The session welcomes interdisciplinary contributions that bridge measurement science, IoT and cyber-physical systems, AI and neural engineering, and human-centered design, supporting the development of responsible and sustainable intelligent systems.

ABOUT THE ORGANIZERS

Dr. Pooja Gupta is an Associate Professor in the Department of Data Science & Engineering at Manipal University Jaipur, with over 16 years of academic, research, and administrative experience. She holds a Ph.D. in Information Technology and is a Senior Member of IEEE, with memberships in ACM and other professional bodies.
She has been elected as Joint Secretary for the IEEE Rajasthan Subsection 2026, reflecting her growing leadership and contribution to the IEEE community.
Dr. Gupta has worked in diverse multicultural academic environments, including serving as a faculty member at Jazan University under the Ministry of Higher Education, Kingdom of Saudi Arabia, gaining valuable international teaching and research exposure. Her research interests span Artificial Intelligence, IoT, Cloud Computing, Data Analytics, and Human-Centric Intelligent Systems.
She has published extensively in Scopus and SCI-indexed journals, holds multiple Indian patents, and has received awards for research and innovation excellence. Dr. Gupta is also an alumna of the DST–WISE Women in Space and Allied Sciences Leadership Programme (WiSLP) , reflecting her leadership engagement at the national and international level. She actively contributes as a conference organizer, session chair, reviewer, and expert speaker.

Dr. Anju Susan George received the B.E. degree in Information Technology from SSM College of Engineering, Erode, India (Periyar University) in 2003, and the M.E. degree in Computer Science and Engineering from KSR College of Technology, Tiruchengode, India (Anna University, Coimbatore) in 2010. She obtained the Ph.D. degree in Computer Science and Engineering from Noorul Islam Centre for Higher Education, Thuckalay, India, in April, 2023.
She began her academic career in August 2003 as a Guest Lecturer at the Government College of Engineering, Idukki, Kerala, where she served until July 2005. She then joined Viswajyothi College of Engineering and Technology, India, as an Assistant Professor in August 2005, where she contributed for over 18 years. During this tenure, she served as Head of the Department of Information Technology for 9 years (2014–2023). Since December 2023, she has been with the Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India, as an Assistant Professor (Selection Grade). Dr. George has a total academic experience of 22 years.
Her research interests include cloud computing, parallel programming, sustainable computing, network and cloud security, and blockchain technologies. Dr. George is a Member of IEEE, ACM and a Lifetime Member of the Indian Society for Technical Education (ISTE). She has published research articles in reputed international venues, including IEEE, Springer, and Elsevier, and actively serves as a reviewer for Springer and Elsevier journals.

Dr. Neha Mahala is currently working as Assistant Professor in the Department of Artificial Intelligence and Machine Learning, Manipal University Jaipur. She has completed her Ph.D. from Indian Institute of Technology (Indian School of Mines), Dhanbad. Her research interest includes machine learning, optimization, optical networks, routing and spectrum allocation.

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