14th International Conference on Control, Dynamic Systems, and Robotics (CDSR 2027)- Paris- June 2027

Call for papers: CDSR 2027, June 6–8, 2027, Paris, France. Submission deadline: December 10, 2026.

IEEE HPSR 2027, 28th IEEE International Conference on High Performance Switching and Routing

Call for papers

IEEE HPSR 2027

28th IEEE International Conference on High Performance Switching and Routing

Paris, France

15 – 18 June 2027

https://hpsr2027.ieee-hpsr.org/

Paper Submission Deadline: 30 November 2026

Notification of Acceptance: 1 March 2027

The rapid evolution of artificial intelligence, cloud computing, distributed systems, and next-generation communication infrastructures is fundamentally reshaping network requirements. AI training and inference workloads, large-scale distributed applications, and emerging agentic computing systems generate unprecedented traffic volumes, dynamic communication patterns, and stringent performance requirements. Future networks must deliver ultra-low latency, high throughput, predictable performance, resilience, and intelligent resource utilization while operating across data centers, wide-area networks, edge infrastructures, and heterogeneous computing platforms.

Furthermore, the evolution of the Digital Continuum—device-to-edge-to-fog-to-Cloud—is converging with AI-native infrastructures, promising low-latency and ubiquitous computation for heterogeneous mobile, IoT, and AI-empowered devices and agents. Emerging 6G system specifications increasingly consider GenAI and Agentic AI functionalities as native components of the 6G core, enabling AI-driven control, orchestration, and service exposure directly within the network fabric. This convergence is expected to foster a rich array of network and computing services aiming at tighter synergy across programmable data planes, control planes, and computing substrates in Next Generation Integrated Communications and Computing Systems.

The main focus of HPSR 2027 – the 28th edition of the HPSR conference – will be to assess how these transformative breakthroughs  in AI-native Integrated Communications Systems affect all areas related to switching and routing, traffic engineering, and next generation networks and systems in general. We are soliciting original and thought-provoking works on big data, data analytics, cloud, edge and fog services, and advanced artificial intelligence techniques applied to networking, including the high-performance routing, switching, and traffic engineering, including for AI / GenAI / Agentic AI workloads. Contributions addressing traffic modeling and characterization of AI-centric environments (e.g., LLM training and inference clusters, agentic swarms, federated learning, and digital twins) across data center, wide area, and intra-provider networks are particularly welcome. Works on autonomous networks, AI-native 6G core and RAN, Industry 4.0 and 5.0, social networks, network cybersecurity, network softwarization and virtualization, as well as other advanced topics are also encouraged. Original, previously unpublished research papers describing theoretical advances, experimental efforts, practical experiences, as well as visionary roadmaps in all aspects of switching and routing, traffic modeling, and AI-native next generation networks and systems are solicited.

Main Topics of Interest include (but are not limited to):

Track A:  Integrated Communications and Computing Systems 

Artificial intelligent routing and resource-allocation algorithms Generative AI traffic modeling, routing and switching strategies Collective communications and optimal AI traffic scheduling Digital Continuum – device-to-edge-to-fog-to-Cloud continuum Dynamic bandwidth access and management for smart-factory/Industry 4.0 applications Experimental measurements and testbed implementations Game theory enabling resource allocation and routing High performance, programmable networks 

  • Integrated access and backhaul technologies

  • Integrated caching, computation, and communications 

  • Quality of Experience resulting from intelligent routing

  • Quality of Service Optimization and resource allocation

  • Reconfigurable Intelligent surfaces-enabled switching and routing

  • Switching architectures for next generation applications

  • Traffic monitoring and modeling applied to switching and routing

  • Traffic predictions in routing and resource assignment

Track B: High-Performance High Functionality Architectures 

Address lookup algorithms, packet classification, scheduling, and dropping Applications of data science and analysis on high-performance networks Applications of GPU on network functions

  • Efficient data structures for networking applications

  • Future technologies for IoT 

  • High-speed packet processors

  • ICT enabling technologies for e-health systems

  • Multiprocessor networks

  • Nano-communication networks

  • Non-Terrestrial Communication Systems

  • Integrated Terrestrial and Non-Terrestrial Networks

  • Network management

  • Network traffic characterization and measurements

  • Optical switching and routing

  • Power-aware switching, bridging, and routing protocols

  • Routing and resource allocation for tactile Internet

  • Switching, bridging, and routing protocols for wide-area,data centers

  • Switching support to extended reality (including virtual, augmented, and mixed reality)

  • Traffic characterization and engineering

Track C: Autonomous Networks

  • Architectures of high-performance switches and routers, with a focus towards reconfigurable pipelines (P4, OpenFlow, etc.)

  • AI-driven autonomous networking

  • Computation offloading

  • Decentralized applications 

  • Decentralized autonomous organizations 

  • Economics and pricing

  • Energy harvesting, storage, recycling, wireless power transfer

  • Green network monitoring and routing

  • Medium access control, routing, and path selection

  • Middleware services for wireless, mobile and multimedia networks

  • Mobile social networks and routing

  • Multi-access edge computing (MEC)

  • Network and switch slicing

  • Network performance for Human-Agent-Robot Teamwork (HART)

  • Physical-layer aspects of switching and routing

  • Software-defined networking

  • Space-air-ground integrated networks (SAGIN)

Track D: Network Security

  • Adversarial machine learning

  • AI-assisted network security

  • Applied cryptography for cyber, information, and network security

  • Attack prediction, detection, response, and prevention

  • Authentication protocols and key management

  • Cloud, data center, and distributed systems  security

  • Future Internet Architecture (FIA) security and privacy

  • Intrusion detection with artificial intelligent techniques

  • Malware detection and damage recovery

  • Network security and privacy protection

  • Next generation networks and Internet security

  • Security in SDN and networking slicing

  • Security in smart grid communications

  • Security in virtualized network functions built or managed using software-defined networks

  • Security and privacy in the Age of Information

  • Trust management in networks through emerging technologies

  • Virtual Private WANs

IJCNN 2027: Call for Competition & Tutorial Proposals

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Deadline extended to 14 September: WWIN 2026 Workshop at SAB 2026

Dear colleagues,

We are pleased to announce that the submission deadline for the first international workshop “Wanting What is Needed: From Homeostatic Control to Adaptive Behavior” has been extended to September 14, 2026.

The workshop will be held on October 19 in Berlin, Germany, as part of The 18th International Conference on the Simulation of Adaptive Behavior (SAB 2026).

Workshop website: https://wwin-workshop.github.io/sab2026
Keywords: internal states, homeostasis, allostasis, reinforcement learning, decision making, robotics, adaptive behavior.

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Aims of the workshop
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Classical reinforcement learning and cognitive models often begin with externally specified rewards. Biological organisms, by contrast, are autonomous learning agents whose behavior is constrained by the need to sustain their own viability. This workshop asks how internal physiological regulation can ground decision-making, value formation, and motivated behavior.

We aim to foster a shared interdisciplinary conversation across machine learning, artificial intelligence, robotics, neuroscience, biology, physiology, ethology, and control theory. The goal is to clarify how homeostatic and allostatic regulation can contribute to adaptive behavior in both biological organisms and artificial agents.

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Invited speakers
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* Lilian A. Weber (Osnabrück University)

* Lola Cañamero (CY Cergy Paris University)

* Antonio Damasio (University of Southern California, online)

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Extended abstracts for lightning talks and posters
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* Extended abstracts of up to 3 pages (main text)

* References, appendices, and acknowledgements are not included in this limit

* Springer LNCS style (template available on the workshop website)

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Important dates
======================================

* Extended Abstract Submission Deadline: September 14, 2026

* Notification of Acceptance: September 18, 2026

* Workshop Date: October 19, 2026 (afternoon)

We welcome contributions from researchers working across the biological and artificial sciences and look forward to receiving your submissions.

Best regards,

Ismael T. Freire
Sorbonne Université

On behalf of the organizing committee:

Naoto Yoshida — Kyoto University
Boris Gutkin — École Normale Supérieure
Henning Sprekeler — Technical University of Berlin
Louis L’Haridon — ENSEA / CNRS
Lola Cañamero — CY Cergy Paris University
Ismael T. Freire — Sorbonne Université
Mehdi Khamassi — Sorbonne Université

NEmo 2026 @ NeurIPS – deadline EXTENDED to 14 September (AoE)

Dear all,

The submission deadline for NEmo 2026: Neuro-Symbolic Embodied Intelligence, a workshop at NeurIPS 2026 (December 12, 2026, Sydney, Australia), has been extended to September 14, 2026, Anywhere on Earth.

NEmo focuses on the challenges of building long-lived autonomous agents that can perceive, reason, plan, learn, and adapt over extended interactions in physical or richly simulated environments. A central theme of the workshop is the role of neuro-symbolic approaches in making such agents more reliable and capable.

Topics of interest include

  • combining learned perception, reinforcement learning and large language models with planning and structured symbolic knowledge
  • grounding and shared semantics
  • memory over long horizons
  • affordances
  • recovery from failed assumptions

The workshop brings together researchers from machine learning, knowledge representation, planning, robotics, Semantic Web, human-robot interaction, and trustworthy AI. We accept ongoing and already published works as well as new contributions.

Website: https://nemo.semantic.review
Submit: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/NEmo

Best regards,
The NEmo 2026 Organizing Committee

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