@mdiberna

Professor of Nonlinear Systems and Control at @UninaIT and @ssmeridionale tweeting about #Control, #Chaos and #Complexity. Fellow @IEEEorg

sites.google.com/site/dibernardogroup/home
Joined October 2009
  • Tweets1.2K
  • Following478
  • Followers1.9K
182Media
Mario di Bernardo retweeted
Marco Coraggio@coraggio_marcoJul 31
🫱🏼‍🫲🏾 Rowing, dancing, lifting together: people sync up without a word. Touch alone does it. But how, and how does it compare to just watching each other? Find out in our new preprint with Angelo Di Porzio and Etienne Burdet. 👉 arxiv.org/abs/2607.25692

How haptic feedback enables human group synchronization

Synchronization often emerges spontaneously among interacting people, yielding practical benefits for tasks such as sports, physical rehabilitation, and collaborative manufacturing, and fostering...

arxiv.org
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At #ECC2026 in Rejkiavik we present our paper on Sparse Shepherding Control of Large-Scale Multi-Agent Systems via Reinforcement Learning. Thu 9 July, 15:00, Árna 1. w/ Luigi Catello, @ItaloNapo00 @DavideSalzano94 #ControlSystems #MultiAgentSystems #ECC2026
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At @PoliTOnews today for the workshop on hacking collective behavior organized by @alerizzo_ e Lorenzo Zino. Great talks and lots of discussions 👉 collectivebehavior.polito.it…
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Mario di Bernardo retweeted
Marco Coraggio@coraggio_marcoJun 8
🚀 Scuola Superiore Meridionale is hiring 5 PhD students in MERC programme — Modelling & Engineering Risk and Complexity: multi-agent control, critical infrastructure, financial risk, earthquake forecasting and more. 📆 27 Aug 2026 🔗 Apply now! ssmeridionale.it/avcp/bando-…
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Delighted to be featured in the latest 'People in Control' profile in @IEEE Control Systems Magazine. We discuss my route into control and where I think the field is heading. @CSSIEEE @CssItaly @UninaIT @SSMeridionale 👉ieeexplore.ieee.org/document…

Mario di Bernardo [People in Control]

ieeexplore.ieee.org
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Mario di Bernardo retweeted
IFAC_Control@IFAC_ControlMay 29
Vol. 61 of Annual Reviews in Control is out now! 👏🏼 This issue of ARC is a particularly rich one, featuring 13 review papers and 2 tutorials. For more details 👉🏼 buff.ly/pfdGLQo
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Mario di Bernardo retweeted
inControl podcast@inControlpdcstMay 15
🎙️ New episode! We explore the beautiful intersection of complexity, emergent behaviour, and feedback control with @mdiberna (@UninaIT). We discuss chaos and bifurcations, piecewise-smooth systems, complex networks, synthetic biology, COVID modeling, and control across scales! 🚀
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Mario di Bernardo retweeted
Phys.org
@physorg_comApr 25
In moving pedestrian crowds, influence appears sharply uneven: people at the front often shape not just nearby walkers, but the broader group's motion through branching chains of visual following. @RSocPublishing doi.org/hbzggs phys.org/news/2026-04-emerge…

Visual influence networks in walking crowds

Abstract. Collective motion in animal groups emerges from local visual interactions, but the network structure underlying human crowd dynamics remains unex

royalsocietypublishing.org
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📢 2 post-doc positions in Modeling and Engineering Risk and Complexity @SSMeridionale (Naples) Looking for candidates in control, multi-agent systems, swarm robotics, scientific ML, complex networks. 🗓 Deadline 25 May 2026, 14:00 CET 👉bit.ly/4cyDwBW
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12 months, renewable up to 3 years. Gross ~€28.5k/yr + €1.5k research budget. Interview in English. 🧵 #PostDoc #PhD #ControlTheory #ComplexSystems
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Looking for candidates with strong background in: control & dynamical systems multi-agent systems & swarm robotics scientific ML / reinforcement learning complex networks, active matter reliability & risk modelling Highly interdisciplinary environment.
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New paper in Automatica from our group led by @GiancarloMaffet with Alain Boldini and @PorfiriMaurizio (@nyuniversity) Bio-inspired density control of multi-agent swarms via leader-follower plasticity where roles switch dynamically 👉doi.org/10.1016/j.automatica…
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Mario di Bernardo retweeted
Marco Coraggio@coraggio_marcoMar 17
Real-time phase estimation of rhythms (heartbeat, gait, gestures) is challenging. We introduce ROPE: a robust method that makes it practical, with applications in life sciences and control. New paper in JRSI: royalsocietypublishing.org/r… w/ A. Spallone, @FrancescoDeLel4, @mdiberna

ROPE: a novel method for real-time phase estimation of complex biological rhythms

Abstract. Accurate phase estimation—the process of assigning phase values between 0 and 2π to repetitive or periodic signals—is a cornerstone in the analys

royalsocietypublishing.org
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Our work on ROPE the first algorithm for real-time phase estimation of multidimensional biological rhythms is out! Enables real-time synchrony analysis in real-world systems. royalsocietypublishing.org/r… #ControlSystems #SignalProcessing #BiomedicalEngineering

ROPE: a novel method for real-time phase estimation of complex biological rhythms

Abstract. Accurate phase estimation—the process of assigning phase values between 0 and 2π to repetitive or periodic signals—is a cornerstone in the analys

royalsocietypublishing.org
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New paper out in J. R. Soc. Interface! We create digital twins of light-responsive microorganisms, enabling high-throughput phenotyping and light-based control of collective behavior. With @chofski’s lab @BristolUni @DavideSalzano94 #AndreaGiusti 🔗 doi.org/10.1098/rsif.2025.07…

Data-driven inference of digital twins for high-throughput phenotyping of motile and light-respon...

Abstract. Many microorganisms alter their movement in response to light. These responses can drive collective behaviours like photoaccumulation and photodi

royalsocietypublishing.org
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Some snapshots of our research group in the past year to welcome the new year! Happy 2026 everyone!
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Honored and excited to deliver a plenary lecture at SICE FES 2026 in Yokohama! Looking forward to sharing our recent work on multiscale control of large-scale multi-agent systems with the Japanese control systems community. See you in September! 🇯🇵 #SICEFES2026 #ControlSystems
SICE FES 2027@SICEFES202725 Nov 2025
We are pleased to announce that Prof. Mario di Bernardo (IEEE Fellow) @mdiberna, a world-leading expert in nonlinear systems and complex networks, will deliver a plenary lecture at SICE FES 2026 in Yokohama! 🔗 Bio: sites.google.com/site/dibern… #SICEFES2026 #Plenary #ControlSystems

Mario di Bernardo - Short Bio

Mario di Bernardo (SMIEEE '06, FIEEE 2012) is Professor of Automatic Control at the University of Naples Federico II, Italy and Visiting Professor of Nonlinear Systems and Control at the University...

sites.google.com
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Proud of what our research group accomplished in 2025! A thread on collective behavior, multi-agent control, and synthetic biology 🧵sites.google.com/site/dibern…

Mario di Bernardo - Publications

Books

sites.google.com
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🧬 We also ventured into synthetic biology with Davide Salzano and Vittoria Martinelli: in-vivo multicellular control of gene expression & multicellular PID control. Bringing feedback control into living systems! pubs.acs.org/doi/10.1021/acs… royalsocietypublishing.org/d…
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Grateful to work with brilliant students and collaborators. Here’s to more discoveries in 2026! 🚀
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