New Age Battery Systems - Structure, Safety and Reliability
Abstract
As electrification accelerates across mobility, grid storage, and industrial applications, battery systems are required to deliver higher energy density, longer service life, and uncompromising safety. In this session we will explore the architecture, safety engineering, and reliability strategies that underpin modern battery systems, with a focus on lithium-ion and emerging chemistries.
The session will provide details of battery systems—from structure to module and pack integration. Key design considerations such as electrical interconnects, sensing architecture, and battery management systems (BMS) will be examined. Emphasis will be placed on how structural decisions influence performance, robustness, manufacturability, and scalability.
Safety considerations through failure mechanisms including thermal runaway, overcharge, short circuits, and structural degradation will be covered for Failure Mode Effects and Analysis (FMEA) along with mitigation strategies such as cell-level protections, pack-level isolation, thermal management systems and fault detection algorithms. The session also discusses hazard analysis, containment design, and propagation prevention techniques critical to electric vehicles and stationary storage installations.
Reliability engineering will also be presented to include degradation mechanisms, state-of-health (SOH) estimation, prognostics and accelerated life testing. This session should provide a comprehensive technical perspective on developing battery systems that are structurally optimized, intrinsically safe, and reliability-driven—supporting next-generation electrification with confidence and resilience.
Dr. Muhammad Mudassar Yamin — Talk
From publications to production: ScienceOps in a Cyber Range
Abstract
Academic research publications are often used as key metrics for evaluating researchers' performance, yet they frequently emphasize theoretical contributions within specific domains. The practical impact of scientific advances, however, becomes evident only when these contributions are implemented and tested in live production environments.
In this work, we explore the concept of ScienceOps within the Norwegian Cyber Range, examining how academic research is translated into state-of-the-art systems deployed in complex, real-world cyber scenarios. We discuss the processes, challenges, and lessons learned in bridging the gap between research and operational deployment, demonstrating how scientific innovation can move beyond publication and deliver measurable impact in operational settings.
Mark Finlayson — Talk
Narrative Natural Language Processing: Recent Advances and Future Prospects
Abstract
Narratives are ubiquitous: they are found in every society and culture and used by nearly every person every single day. Narratives fundamentally shape our world and our perceptions of it, play a central role in the transmission of culture and the expression of implicit knowledge, and are one of the main ways we persuade others for good or for ill. Despite these observations, there remain many NLP tasks specific to narrative that have received relatively little attention, as well as a variety of unanswered questions regarding how narrative works, cognitively speaking.
I present steps taken over the past five years by myself and the doctoral students in my Cognition, Narrative, and Culture (Cognac) Laboratory to drive forward our understanding of narrative, both from a computational and cognitive point of view. First, I describe work on narrative event detection seeking to reveal event hierarchies, foreground/background status, and "key plot points". Second, work on events leads naturally to a new, exact, and provably complete solution to timeline extraction, which is supporting new work on duration estimation and narrative level extraction. Third, I review our work on animacy and character analysis, which is leading to interesting tests, at scale, of long-held linguistic assumptions. Fourth, I discuss several in-progress efforts, including detection of narrative motifs and the categorization and resolution of narrative reference.
Finally, I show how all these advances support a vision of extracting higher-level structure from narratives, including common plot pieces, morals, and themes. Along the way, I point out various applications (to, e.g., argument analysis and mis-/dis-information detection) as well as next steps that I plan to explore in the context of currently popular Large Language Models.
Zubair Khalid — Talk
Leveraging AI for Climate Modelling and Sustainable Urban Systems
Abstract
The increased influx of the population from rural to urban areas in the developing world poses major economic, social, and environmental challenges. These challenges necessitate the development of policies and plans so as to improve urban infrastructure and basic services. One of The United Nation's 17 sustainable development goals (SDGs), Goal 11: Sustainable, Green and Resilient Cities, outlines the defining constructs of an emerging urban planning paradigm. With gaining global traction, the paradigm focuses on utilizing technological revolutions for innovations in urban design that will help and catalyze lifestyle changes.
In this talk, I will provide an overview of the use of technological innovations in data gathering, data analytics, data-driven decision making and policy design to address complex problems in three important and intertwined areas of an urban system that need to be tackled for sustainable development: (a) urban sprawl, (b) urban mobility, and (c) urban environment and health. The proliferation of mobile and electronic devices, the availability of publicly available sensing modalities, as well as the increasing digitalization of processes has enabled the generation of unprecedented amounts of data. This, coupled with unprecedented progress in computational power, provides us an opportunity to use artificial intelligence and machine learning methods for data-aided analysis, discovery, and decision-making to address the complex issues surrounding urban systems. I will provide an overview of our pilot projects in the aforementioned areas to establish a mesh of physical, social, and economic connections in the urban systems. In our approach, we feed the data, collected from a wide variety of modalities (such as remote satellite measurements, surveys, socio-economic indicators, on-ground sensing networks such as video feeds etc.), into cutting-edge machine learning techniques to model these connections and to derive useful insights for informed decision making, and to conceptualize a policy cycle for attaining public value.
Following this overview, I will present some of our recent works in detail. First, I will discuss STEF-DHNet, a spatiotemporal deep learning model that leverages CNNs and LSTMs to accurately forecast ride-hailing demand while integrating external factors such as weather and time-of-day variations. This model outperforms state-of-the-art baselines and maintains long-term accuracy without frequent retraining. Second, I will showcase our exascale climate emulator, a high-fidelity tool for climate modeling that combines spherical harmonic transforms and mixed-precision GPU computation. Trained on hundreds of billions of data points, it achieves unprecedented accuracy and scalability across leading supercomputers. Finally, I will present our Variational Mode Graph Convolutional Network (VMGCN) for spatiotemporal traffic prediction. This hybrid framework decomposes data into interpretable modes using variational mode decomposition before applying graph neural networks, improving forecasting accuracy for both short- and long-term traffic predictions.
5th International Conference
Computing, Mathematics &
Engineering Technologies
(iCoMET 2026)
AI for Socio-Economic Transformation
March 30-31, 2026
Full paper submission date days remaining
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IEEE approved:
The 5th International Conference on Computing, Mathematics and
Engineering Technologies (ICOMET 2026) is an IEEE-approved
conference (Conference Record Number: 69771). All accepted and
presented papers will be published in the IEEE Xplore Digital
Library and indexed in EI Compendex, ensuring global visibility
and academic recognition.
Extended Publication Opportunity:The extended version of the selected papers will be published in the following impact factor and HEC recognized journals:
Discover Artificial Intelligence- Special Issue on AI for Higher Education (Springer Nature) - View Journal
Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS) - View Journal
Sukkur IBA Journal of Emerging Technologies (SJET) - View Journal
It is a matter of great honor and privilege to extend a warm
welcome to all participants of the 5th International
Conference on Computing, Mathematics & Engineering
Technologies (iCoMET 2026), organized by Sukkur IBA
University. The theme of this year's conference, "AI for Socio-Economic transformation" reflects our unwavering
commitment to advancing scholarly research and innovative
practices that address global challenges through the
transformative potential of artificial intelligence.
...
iCoMET 2026 serves as a premier platform for distinguished
scholars, industry experts, and policymakers from across the
world to exchange knowledge, present pioneering research,
and collaborate on solutions that integrate technology,
innovation, and sustainability. This gathering not only
fosters academic excellence but also strengthens the vital
link between theoretical inquiry and real-world application,
thereby contributing to the creation of resilient and
inclusive ecosystems.
As Patron of this conference, I take immense pride in Sukkur
IBA University's tradition of promoting intellectual
dialogue, fostering innovation, and building meaningful
partnerships. I am confident that the discussions and ideas
shared during this conference will inspire fresh
perspectives, encourage impactful collaborations, and make a
significant contribution to sustainable global progress.
I extend my heartfelt wishes for the success of iCoMET 2026
and warmly welcome all participants to be part of this
significant academic endeavor.
Prof. Dr. Asif Ahmed Shaikh
Vice Chancellor, Sukkur IBA University
Patron iCoMET 2026
Message from the General Chair
It is my great honor and privilege to invite you to join us
for the 5th International Conference on Computing, Mathematics
& Engineering Technologies (iCoMET 2026), organized by Sukkur
IBA University, under the theme "AI for Socio-Economic transformation."
...
iCoMET has established itself as a premier international
forum for researchers, academics, practitioners, and
policymakers to share innovative ideas, present breakthrough
research, and explore cutting-edge developments at the
intersection of computing, mathematics, engineering, and
emerging technologies. With sustainability becoming one of
the defining challenges of our time, this year's conference
highlights how artificial intelligence and digital
transformation can serve as powerful enablers of inclusive
and sustainable growth.
The technical program of iCoMET 2026 features high-quality
peer-reviewed papers, keynote talks from distinguished
international experts, specialized panel sessions, and
interactive workshops. Participants will also benefit from
networking opportunities with thought leaders and
innovators, making this conference not only a venue for
knowledge sharing but also a platform for fostering
meaningful collaborations across disciplines and industries.
Over the years, iCoMET has been successful in bringing
together a vibrant community of scholars and practitioners,
and we are delighted to continue this tradition in 2026. I
am confident that this year's conference will inspire
impactful research directions, encourage practical
solutions, and spark discussions that will contribute to
sustainable global progress.
I warmly welcome you to iCoMET 2026 and look forward to your
active participation in making this conference an engaging,
rewarding, and memorable experience.
Prof. Dr. Sher Muhammad Daudpota
Professor & Dean Faculty of Science and Information
Technology,
Sukkur IBA University
General Chair iCoMET 2026
Associate Professor, Associate Director Research and Academics FIU. PhD in Science & Cognitive Science from MIT (Massachusetts Institute of Technology), USA
The Microsoft CMT service was used for managing the peer-reviewing process
for this conference. This service was provided for free by Microsoft and
they bore all expenses, including costs for Azure cloud services as well as
for software development and support.
