
International Workshop on ML, AI, Neuromorphic Computing
(19 - 21 May, 2026) Universitat de les Illes Balears (UIB), Palma de Mallorca
​Venue: Aula Magna, Building Guillem Cifre de Colonya
​​​
19 May (Day 1)
Morning session​
9:15-9:30 Welcome & introduction
9:30-10:15 Antonio Hurtado
10:15-11:00 Natalia Berloff, “Selection Is Computation”
11:00-11:30 Coffee break
11:30-12:15 Miltiadis Moralis-Pegios, "Integrated photonic accelerators : Bridging AI with photonic circuitry"
12:15-13:00 Alfredo de Rossi
13:00-14:30 Lunch break
Afternoon session
14:30-15:15 Stavros Stavrinides
15:15-16:00 Roberta Zambrini
16:00-17:00 Round Table: Physical Substrates for Neuromorphic Computing
Moderator: Miguel C. Soriano
​
20 May (Day 2)
Morning session
9:30-10:15 Lorenzo Pavesi, "Neuromorphic Photonics with Microresonators: Spiking with Light, Synchronization, and Fan-In"
10:15-11:00 Raúl Vicente
11:00-11:30 Coffee break
11:30-12:15 Rodrigo Picos, "Extracting information from small-signal memristor models"
12:15-13:00 Lucas Lacasa, "Leveraging chaotic transients in the training of artificial neural networks "
Afternoon: Excursion and Conference Dinner
~ 13:00-14:30 Lunch
~15:00 Excursion (TBC)
~20:00 Conference dinner (TBC)
21 May (Day 3)
Morning session
9:30-10:15 Miguel Ángel Muñoz
10:15-11:00 Pedro David García, "Computing with the Complex Nonlinear Dynamics of an Optomechanical Resonator"
11:00-11:30 Coffee break
11:30-12:15 Teresa Serrano
12:15-13:00 Francesco da Ros, “Integrated photonic computing – from matrix-vector multipliers to reservoir computing”
13:00-14:30 Lunch break
Afternoon session
14:30-15:15 VLC Photonics (Irene Estébanez / Tigers Jonuzi)
15:15-16:00 Speaker to be confirmed
16:00-17:00 Round Table: Applications of neuromorphic computing
Moderator: Apostolos Argyris
17:00-17:15 Closing remarks
Agenda
Speakers

Prof Lorenzo Pavesi
Title: "Neuromorphic Photonics with Microresonators: Spiking with Light, Synchronization, and Fan-In"
Prof. Lorenzo Pavesi is a professor of physics whose research focuses on silicon photonics, nano-optics, and integrated nonlinear photonic devices. He has contributed extensively to microresonator physics and on-chip light–matter interaction, with recent work exploring neuromorphic photonics, spiking dynamics, and network effects such as coherent backaction, synchronization, and fan-in for photonic AI. He is an ERC grantee, fellow of IEEE, SPIE, SIF and AAIA, and head of the Nanoscience Laboratory of University of Trento

Lucas Lacasa
Talk: "Leveraging chaotic transients in the training of artificial neural networks "
Lucas Lacasa is currently a CSIC tenured researcher at IFISC, where he runs the Networks & Dynamics group. Before this he was Reader in applied mathematics at Queen Mary University of London (UK). He holds a Phd in Physics of Complex Systems from UPM and has been an invited researcher in several universities including Oxford and UCLA. His research spans complex systems with a methodological angle, merging dynamical systems, statistical physics and network theory with data analysis and machine learning.
He has published over 90 papers in leading journals, including PNAS, Nature Communications, PRX, PRL and IEEE TPAMI.

Rodrigo Picos
Title: "Extracting information from small-signal memristor models"
Born in Palma, Spain (1973), Rodrigo Picos earned his M.S. (1998) and Ph.D. (2006) from the Universitat de les Illes Balears (UIB). He is currently a UIB Professor and a member of the Balearic Islands Health Institute (IdISBa). His research focuses on memristive systems, compact-device modeling, and analog circuit design. An experienced electronics educator, Dr. Picos has authored over 120 papers and contributed to numerous national and EU-funded research projects. He is a Senior Member of the IEEE Electron Devices Society.

Stavros Stavrinides
Title: "Exploring memristor dynamics using DRM: From theory to experiment"
Stavros G. Stavrinides is a Physicist with a MSc in Electronics and a PhD in Chaotic Electronics, all awarded by Aristotle University of Thessaloniki, Greece. He currently serves as a Professor at Physics Department at Democritus University of Thrace in Greece. Prior positions include (among others) being Professor at International Hellenic University in Greece and visiting Assistant Professor at the University of Cyprus. His research interests include interdisciplinary applications of nonlinear dynamics with emphasis on PUFs and chaotic synchronization for hardware security, memristors and memristive circuits, and edge computing etc. He has taught numerous topics in physics and electronics in academia for more than 17 years. Prof. Stavrinides co-chairs the series of the International Interdisciplinary Symposia on Chaos and Complex Systems (https://chaos-symposium.org). He has authored or co-authored more than 130 publications and participated in several national and international (EU, NATO) funded projects. Finally, he is an IEEE senior member.

Antonio Hurtado
Title: "TBA"
Bio: TBA

Alfredo de Rossi
Title: "TBA"
Bio: TBA

Miltiadis Moralis-Pegios
Title: "Integrated photonic accelerators : Bridging AI with photonic circuitry"
Dr. Miltiadis Moralis-Pegios received his Diploma and M.Sc. degrees in Electrical Engineering from Democritus University of Thrace, Greece, and his Ph.D. from the Department of Informatics at Aristotle University of Thessaloniki (AUTH) in 2020. He is currently a senior researcher and adjunct lecturer at AUTH, where he works on integrated photonic architectures for optical interconnects and AI acceleration. He served as Technical Coordinator of the EU-funded project PlasmoniAC and is currently Principal Investigator of the ROK–EU project HAETAE. His research spans silicon photonics, neuromorphic photonics, and optical computing. He has authored over 100 publications in leading journals and conferences, including OFC and Nature Communications.

Natalia Berloff
Title: "Selection Is Computation"
Natalia Berloff is a Professor at the University of Cambridge, where she leads the Physics-Inspired Computing group, and is a Fellow of Jesus College, Cambridge. Her research centres on understanding and exploiting coherence in non-equilibrium classical and quantum systems to develop unconventional computing paradigms. She introduced the polaritonic XY–Ising machine, using exciton-polariton condensates in semiconductor microcavities to perform complex optimization tasks. Her work demonstrates how photonic and light–matter-coupled platforms can naturally evolve toward optimal solutions, offering a direct physical route to solving hard computational problems and bridging theoretical physics with practical neuromorphic and analogue computing. Her current research interests include physics-inspired algorithms implementable in photonic, electronic, and hybrid hardware; the role of quantum effects in computation; and applications to artificial intelligence, including wave computing and dense associative memory.
Before joining the University of Cambridge faculty in 2002, Natalia was an Assistant Professor in the Department of Mathematics at the University of California, Los Angeles. She has served as a Visiting Professor at Microsoft (2021–2023) and as a Fellow of the Alan Turing Institute (2021–2023). She is the Chair of the APS Committee for the International Freedom of Scientists.

Teresa Serrano-Gotarredona
Title: "TBA"
Bio: TBA

Raúl Vicente
Title: "TBA"
Bio: TBA

Pedro David García
Title: "Computing with the Complex Nonlinear Dynamics of an Optomechanical Resonator"
Bio: Pedro David García is a Científico Titular at the Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC). His research centres on disordered photonics and quantum photonics in disordered nanostructures, where he has studied Anderson localization and the interplay between fabrication disorder and light–matter interaction. This work has evolved naturally toward silicon cavity optomechanics and, most recently, neuromorphic computing using the nonlinear and complex dynamics of optomechanical resonators. He coordinates the EIC Pathfinder project NEUROPIC on this topic.

Francesco da Ros
Title: "Integrated photonic computing – from matrix-vector multipliers to reservoir computing"
Francesco Da Ros is an associate professor in the Machine Learning in Photonic Systems (MLiPS) group at DTU Electro. He received his Ph.D. in 2015 from the Technical University of Denmark (DTU), including a research stay at the Fraunhofer Heinrich-Hertz-Institute. Between 2015 and 2018, he worked within the Center for Silicon Photonics for Optical Communications at DTU and joined the MLiPS group in 2019. His current research focuses on optical and digital information processing, including optical computing, optical signal processing, digital signal processing, and machine learning applied to optical communication systems. He is an OPTICA Ambassador and Senior Member, an IEEE Senior Member, and has served in several technical program committees, including CLEO US (Program Chair 2023, General Chair 2025), CLEO-EU, ECOC, PSC, and SPIE Europe.

Roberta Zambrini
Title: "TBA"
Bio: TBA

Miguel Ángel Muñoz
Title: "TBA"
Bio: TBA
Organising Committee

Miguel Cornelles Soriano
UIB

Claudio Mirasso
UIB

Natalia Manuilovich
Aston University
