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

Joined October 2009
180 Photos and videos
Mario di Bernardo retweeted
🚀 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…
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Mario di Bernardo retweeted
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
🎙️ 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
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…
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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
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
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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
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
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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…
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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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