Added pubs

Author: edwardalee

src/components/Publications/citations.bib

@@ -14,6 +14,32 @@ @article{BarbutoEtAl:25:DigitalTwins
 	abstract = {Digital Twins (DTs) have emerged as essential tools for virtualizing and enhancing Cyber-Physical Systems (CPS) by providing synchronized digital counterparts that enable monitoring, control, prediction, and optimization. Initially conceived as passive digital shadows, DTs are increasingly evolving into intelligent and proactive entities, enabled by the integration of Artificial Intelligence (AI). Among these advancements, Opportunistic Digital Twins (ODTs) represent a novel class of DTs: living, AI-aided, and actionable models that opportunistically exploit edge-cloud resources to deliver enriched and adaptive representations of physical entities and processes. However, despite their promise, current research lacks systematic engineering methods to ensure reliable coordination, determinism, and real-time responsiveness of ODTs in distributed and resource-constrained CPS. This article addresses this gap by introducing an engineering approach to build dependable and efficient ODTs by leveraging the deterministic concurrency, explicit timing semantics, and disciplined event handling of Lingua Franca (LF). The approach is exemplified through a Smart Traffic Management case study centered on Emergency Vehicle Preemption (EVP), where the ODT dynamically selects AI models based on runtime conditions while ensuring deterministic coordination across distributed nodes. Experimental results confirm the feasibility and effectiveness of our methodology, underscoring the potential of LF-based ODT engineering to enhance reliability, adaptability, and scalability in intelligent and distributed CPS deployments.}
 }
 
+@article{ChenEtAl:25:DigitalUnification,
+   author = {Ang Chen and Sylvia Ratnasamy and Mohammad Alizadeh and Mosharaf Chowdhury and Seth Guikema and Ryan Huang and Suresh Jaganathann and Branko Kerkez and Edward Lee and Steven Low},
+   title = {Resilient Infrastructures via Digital Unification},
+   journal = {Communications of the ACM},
+   volume = {to appear},
+   month = {Online First},
+   year = {2025},
+   type = {Journal Article},
+   url = {https://doi.org/10.1145/3736713},
+   doi = {10.1145/3736713},
+   abstract = {This article discusses the concept of digital transformation and its importance in the modern world.}
+}
+
+@inproceedings{ChenEtAl:25:PredictableTiming,
+   author = {Jian-Jia Chen and Mario G\"unzel and Dakshina Dasari and Matthias Becker and Edward A. Lee and Timothy Bourke},
+   title = {Special Sessions - Predictable Timing Behavior in Distributed Cyber-Physical Systems},
+   booktitle = {Proceedings of the International Conference on Embedded Software (EMSOFT)},
+   pages = {23-32},
+   month = {October},
+   year = {2025},
+   type = {Conference Proceedings},
+   url = {https://doi.org/10.1145/3742874.3757086},
+   doi = {10.1145/3742874.3757086},
+   abstract = {Ensuring predictable and deterministic behavior in distributed cyber-physical systems (CPS) is essential for guaranteeing safety, reliability, and real-time behavior. However, achieving this predictability is challenging due to network uncertainties, asynchronous execution, and complex timing interactions. This manuscript is based on a special session at Embedded Systems Week (ESWeek) 2025, which brings together experts to explore in four presentations how this uncertainty can be addressed and how to introduce additional determinism into the system to achieve predictable timing behavior in distributed CPS. We begin by exploring cornerstones of timing analysis techniques to provide end-to-end latency guarantees for distributed systems (Chen and Günzel). Next, we discuss design strategies for meeting timing constraints, focusing on how system parameters influence cause-effect chains and how these parameters can be tuned to ensure predictable behavior in industrial automation settings (Dasari and Becker). We then turn to approaches to achieve more predictable system behavior. To that end, we examine deterministic semantic models for distributed systems that enable the design of robust and fault-tolerant systems (Lee). Finally, we discuss how solving constraints for scheduling cause-effect chains can be used to enforce strict timing guarantees and improve predictability (Bourke).}
+}
+
 @inproceedings{Lee:25:Time,
    author = {Lee, Edward A.},
    title = {Logical Time in Actor Systems},

src/components/Publications/copypasta.tsx

@@ -12,6 +12,18 @@ export const copypastaPublications: ReactNode = (
         "<Link href="https://doi.org/10.1016/j.future.2025.108262">Engineering opportunistic digital twins with Lingua Franca</Link>", in <i>Future Generation Computer Systems</i> 178, 108262, May 2026.
       </p>
     </li>
+    <li>
+      <p>
+        <strong>CACM '25</strong>: Ang Chen, Sylvia Ratnasamy, Mohammad Alizadeh, Mosharaf Chowdhury, Seth Guikema, Ryan Huang, Suresh Jaganathann, Branko Kerkez, Edward Lee, Steven Low. 
+        "<Link href="https://doi.org/10.1145/3736713">Resilient Infrastructures via Digital Unification</Link>", in <i>Communications of the ACM</i> Online First.
+      </p>
+    </li>
+    <li>
+      <p>
+        <strong>EMSOFT '25</strong>:  Jian-Jia Chen, Mario G&uuml;nzel, Dakshina Dasari, Matthias Becker, Edward A. Lee, Timothy Bourke. 
+        "<Link href="https://doi.org/10.1145/3742874.3757086">Special Sessions - Predictable Timing Behavior in Distributed Cyber-Physical Systems</Link>", in <i>Proceedings of the International Conference on Embedded Software</i> (EMSOFT) pp 23-32, Oct. 2025.
+      </p>
+    </li>
     <li>
       <p>
         <strong>TOMCS '25</strong>: Peter Donovan, Erling Jellum, Byeonggil Jun, Hokeun Kim, Lee Edward, Shaokai Lin, Marten Lohstroh, Anirudh Rengarajan.