@techreport{Ang-2026-CCC-Dynamic-Intelligence, title = {Nerves of the {{Semiconductor Smart Fabs}}: {{Time-sensitive Dynamic Intelligence}} for {{Both Yield}} and {{SSbD Compliance}}}, author = {Ang, Karen and Kao, Chang-Yi and Liao,, Han-Teng}, year = 2026, institution = {{(Accepted but withdrawn) 2026 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}}, abstract = {ID 372 As semiconductor manufacturing enters the sub-2nm era, the operational complexity of "Smart Fabs" necessitates a transition from traditional automation toward the Cognitive Computing Continuum (CCC). While current research focuses on the orchestration of edge-cloud resources to optimize network latency and production performance, existing CCC systems have yet to formally address environmental impacts or the rigorous demands of regulatory compliance. Based on a theory-driven case study of the TSMC water reclamation system, this paper proposes the inclusion of a socio-technical governance layer, formalized as the SIPAEA (Sense-Interpret-Plan-Act-Evaluate-Adapt) framework. By utilizing this framework, Safe-and-Sustainable-by-Design (SSbD) mandates can be integrated with extreme manufacturing precision, enabling synchronized, time-sensitive dynamic intelligence for both operational yield and regulatory compliance. This dual-loop cybernetic approach utilizes both negative and positive feedback to ensure the fab's "nerves" are primed for sensor- and muscle-ready orchestration. This "Atoms-to-Law" architecture integrates Virtual Metrology (VM) for atom-level process modeling with Cognitive Soft-Sensing for resource circularity, creating an integrated resource management system that fully leverages the potential of the edge-cloud continuum. Rewiring the "nerves" of these facilities is essential for "orchestration with intent," ensuring real-time homeostasis between industrial yield and global regulatory requirements, such as the EU Chips Act.}, lccn = {ID 372}, keywords = {Cognitive Computing Continuum,Edge-cloud computing,Industry 5.0,RegTech,Semiconductor Manufacturing,Semiconductor Statecraft,SSbD} } @inproceedings{Liao-2026-ICE-DCE, title = {From Stacks to Circuits: A Regenerative Socio-Technical Roadmap for {{AI}} Infrastructure within Planetary Boundaries}, booktitle = {2026 {{IEEE International Conference}} on {{Engineering}}, {{Technology}}, and {{Innovation}} ({{ICE}}/{{ITMC}})}, author = {Liao, Han-Teng and Ang, Karen}, year = {forthcoming, 2026}, issn = {2693-8855}, doi = {10.48550/arXiv.2606.10544}, abstract = {ID 401 Current scaling trajectories for Generative AI, typified by linear supply-side "stacks," prioritize performance density while externalizing significant thermodynamic and material costs. As the "Twin Transition" of green and digital transformation accelerates, the industry faces technology gaps---including Scope 3 emissions and e-waste recycling---that impede sustainable scaling and lead to social tensions. This study proposes a Regenerative Socio-Technical roadmap that repurposes the Sustainable Production and Consumption system map to reframe artificial intelligence infrastructure as a system-of-systems governed ultimately by planetary limits. By integrating the Institute of Electrical and Electronics Engineers International Roadmap for Devices and Systems (IEEE IRDS) sustainability considerations for semiconductor facilities, the study proposes a metabolic circuit framework that centers "Values and Needs" within production and consumption relationship loops. This study identifies critical gaps in current Nvidia-centric roadmaps and proposes a competing reference architecture. It demonstrates how a spontaneous order of resource parsimony and planetary accountability can provide an actionable pathway for regulatory compliance and industrial resilience in the digital circular economy. Keywords--- Carbon emissions; Environmental management; Green manufacturing; Circular Economy; Roadmapping; Socio-Technical Systems; Scalability; Twin Transition}, lccn = {ISSN: 2693-8855}, keywords = {Carbon emissions,Circular Economy,Environmental management,Green manufacturing,Roadmapping,Scalability,Socio-Technical Systems,Twin Transition}, annotation = {ID 401} } @inproceedings{Liao-2026-ICE-GBS, title = {Orchestrating the Twin Transition in Multinational Corporations: Technology Roadmapping for Green and Digital Global Business Services}, booktitle = {2026 {{IEEE International Conference}} on {{Engineering}}, {{Technology}}, and {{Innovation}} ({{ICE}}/{{ITMC}})}, author = {Liao, Han-Teng and Ang, Karen}, year = {forthcoming, 2026}, issn = {2693-8855}, doi = {10.31235/osf.io/ktcxd_v1}, abstract = {ID 306 Global Business Services (GBS) have emerged as a critical "living laboratory" for the Twin Transition of Green and Digital Transformation, as multinational corporations (MNCs) face increasing pressure to harmonize digital efficiency with environmental stewardship. Aiming to derive a rigorous socio-technical framework for this transition, this paper synthesizes Technology Roadmapping (TRM) with the International Telecommunication Union (ITU) ICT-centric innovation ecosystem toolkit. A longitudinal bibliometric analysis of research clusters reveals an evolutionary shift from basic process automation toward "Sustainable Intelligence," identifying the GBS unit as a central "operational airlock" that mediates between landscape pressures---such as the EU's dual mandate and Carbon Border Adjustment Mechanisms---and niche innovations in AI-native workflows. The study further maps these clusters onto a stakeholder engagement canvas, highlighting how resilient "Middle Power" hubs in Poland, Portugal, and Malaysia are bypassing the middle-income trap to provide a "third way" for global value chains amidst a bifurcated geopolitical cloud. The results offer a data-driven design approach for leaders and entrepreneurial support networks to orchestrate talent and supply chain flows, thereby enriching the conceptual understanding of Industry 5.0 and the role of GBS as a primary mechanism for navigating a volatile, multipolar digital economy. Keywords---Innovation ecosystems, Technology roadmapping, Global Business Services (GBS), Industry 5.0, Twin Transition}, lccn = {ISSN: 2693-8855}, keywords = {Business process,Industry 5.0,Innovation management,Strategic planning,Technology management}, annotation = {ID 306} } @inproceedings{Liao-2026-ICE-SSbD-Semi, title = {Scoping Review of {{AI}}, Metrology, and {{ESG}} in the Semiconductor Sector: Implications for {{Safe}} and {{Sustainable}} by {{Design}} ({{SSbD}})}, booktitle = {2026 {{IEEE International Conference}} on {{Engineering}}, {{Technology}}, and {{Innovation}} ({{ICE}}/{{ITMC}})}, author = {Ang, Karen and Liao,, Han-Teng}, year = {forthcoming, 2026}, issn = {2693-8855}, doi = {10.31235/osf.io/yknwt_v1}, abstract = {ID 286 The semiconductor sector faces a dual transition: scaling manufacturing execution through Artificial Intelligence (AI) while satisfying stringent sustainability mandates, such as the EU Carbon Border Adjustment Mechanism (CBAM). This paper presents a scoping review of 1,465 documents indexed in Web of Science and Scopus, spanning AI-integrated metrology, supply chain ESG, and federated industrial data spaces. Network analysis reveals a highly fragmented "core-periphery" knowledge structure, emphasizing a critical structural hole between AI-driven process optimization and downstream sustainability governance. To close these gaps, this study proposes a 6-layer Safe and Sustainable by Design (SSbD) architecture grounded in a System of Systems (SoS) paradigm. By establishing distinct "grid-to-core" and "standards-through-supply-chain" integration pathways, the proposed framework demonstrates how virtual metrology (VM), localized federated learning, and defensive RegTech mechanisms can build provenance-aware data fabrics. Ultimately, this architecture positions regulatory compliance as a driver for innovation, enabling secure, climate-neutral, and circular value chains in semiconductor manufacturing. Keywords---Interoperability; RegTech; Sustainability Standards; Semiconductor Manufacturing; Artificial Intelligence; Metrology; ESG Compliance}, lccn = {ISSN: 2693-8855}, keywords = {Artificial Intelligence,ESG Compliance,Interoperability,Metrology,RegTech,Semiconductor Manufacturing,Sustainability Standards}, annotation = {ID 286} } @misc{Liao-2026-NiTiM, title = {Orchestrating Sustainable {{AI}} and Semiconductor Ecosystems ({{RegTech}} \& {{FinTech}} Frameworks)}, shorttitle = {Orchestrating the Twin Transition}, author = {Liao, Han-Teng}, year = 2026, month = may, publisher = {OSF}, doi = {10.17605/OSF.IO/DPJYN}, urldate = {2026-05-14}, abstract = {Adopting a socio-technical transition perspective, the study investigates how niche innovations in regulatory technology (RegTech) and financial technology (FinTech) can facilitate regime-level sustainability transitions. The research focuses on the global value chain hubs of Taiwan and Malaysia, utilizing a mixed-method approach that combines scientometrics, innovation ecosystem design workshops, and technology roadmapping (TRM). The objective is to design Minimum Viable Business Models (MVBMs) that enable compliance with the European Union's Carbon Border Adjustment Mechanism (CBAM) while fostering "Safe and Sustainable by Design" (SSbD) ecosystem governance. Expected outcomes include stakeholder-vetted innovation canvases that theoretically contribute to the dynamics of niche-regime interactions within a geoeconomic context. **(A version of this document has been submitted to and accepted for the NITIM Doctoral School 2026, held in conjunction with the 32nd IEEE ICE/ITMC Conference in Porto, Portugal)**.}, langid = {american} } @misc{Liao-2026-SSbD-IDS-preprint, title = {Trustworthy {{Smart Fabs}} via {{Professional Proxies}}: {{Scaling Safe}} and {{Sustainable}} by {{Design}} ({{SSbD}}) through {{Industrial Data Spaces}}}, shorttitle = {Trustworthy {{Smart Fabs}} via {{Professional Proxies}}}, author = {Liao, Han-Teng and Kao, Chang-Yi and Ang, Karen}, year = 2026, month = jun, number = {arXiv:2606.09227}, eprint = {2606.09227}, primaryclass = {cs.CR}, publisher = {arXiv}, doi = {10.48550/arXiv.2606.09227}, urldate = {2026-06-09}, abstract = {The convergence of the 2026 European Union Safe and Sustainable by Design (SSbD) framework, Corporate Sustainability Due Diligence Directive (CSDDD), and Carbon Border Adjustment Mechanism (CBAM) introduce a severe governance bottleneck for advanced semiconductor manufacturing facilities ("Smart Fabs"). Regulatory compliance demands have surpassed the capacity of manual corporate reporting, creating a direct conflict between multi-stakeholder transparency and corporate data privacy. This paper addresses this challenge by introducing a zero-trust socio-technical orchestration framework that operationalizes a six-layer SSbD reference architecture within trustworthy industrial data spaces. We propose a shift from reactive automation to autonomous governance through "Professional Proxies"-role-based agentic workflows executing within hardware-isolated trust zones. Structured as an interoperable network protocol stack, the framework coordinates an automated, five-step "relay race" between Facility, Process Engineering, and Finance proxy teams to align factory-floor yield models with macro-level sustainability mandates. By executing Virtual Metrology (VM) predictions and Federated Machine Learning (FML) inside hardware-rooted Trusted Execution Environments (TEEs), this architecture resolves the Data Sovereignty Paradox, demonstrating how fabs can export cryptographically signed compliance tokens via International Data Spaces (IDS) connectors without exposing proprietary process recipes. Ultimately, this framework provides technology managers with a verifiable, evidence-based pathway toward resilient, net-zero Industry 5.0 ecosystems.}, archiveprefix = {arXiv}, keywords = {Agentic Workflows,Computer Science - Artificial Intelligence,Computer Science - Computational Engineering Finance and Science,Computer Science - Computers and Society,Computer Science - Cryptography and Security,Computer Science - Human-Computer Interaction,Computer Science - Social and Information Networks,Industry 5.0,RegTech,Socio-Technical Systems,Trusted Execution Environments}, file = {W:\Zotero\storage\HQ5IDRDZ\Liao et al. - 2026 - Trustworthy Smart Fabs via Professional Proxies Scaling Safe and Sustainable by Design (SSbD) throu.pdf} }