New Keynote Speaker: Panos Pardalos, University of Florida, USA

New Keynote Speaker: Panos Pardalos, University of Florida, USA

Paul and Heidi Brown Preeminent Professor in Industrial & Systems Engineering at the University of Florida
Ph.D., University of Minnesota, 1985 Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. He is also an affiliated faculty member of the computer and information science Department, the Hellenic Studies Center, and the biomedical engineering program. He is also the director of the Center for Applied Optimization. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.

New Keynote Speaker: Mihaela van der Schaar – University of Cambridge, UK

New Keynote Speaker: Mihaela van der Schaar – University of Cambridge, UK

Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, where she leads the van der Schaar Lab.

Prof. Mihaela van der Schaar is the Director of the Cambridge Centre for AI in Medicine.

Mihaela was elected IEEE Fellow in 2009. She has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.

Mihaela’s work has also led to 35 USA patents (many widely cited and adopted in standards) and 45+ contributions to international standards for which she received 3 International ISO (International Organization for Standardization) Awards.

In 2019, she was identified by National Endowment for Science, Technology and the Arts as the most-cited female AI researcher in the UK. She was also elected as a 2019 “Star in Computer Networking and Communications” by N²Women. Her research expertise spans signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning and AI.

Mihaela’s research focus is on machine learning, AI and operations research for healthcare and medicine.

9 papers @ NeurIPS 2020.

7 papers accepted at ICLM 2020.

2 papers @ ICLR 2020.

4 papers @ AISTATS 2020.

5 papers accepted at NeurIPS 2019.

ACDL 2021 (as ACDL 2020): an Online & Onsite Course

After numerous discussions, we have concluded that holding the event this year in hybrid  form, both onsite and virtual (as was done for ACDL 2020) as this is most beneficial for the ACDL community rather than postponing the course to 2022.

The organizing committee of ACDL 2021 has decided to run the conference on the originally scheduled dates (July 19-23, 2021), and to run it as a hybrid course:

  • onsite (in person) for those who can come to Tuscany, Italy and
  • online for those who cannot.

The Certosa di Pontignano (our conference venue) has enough space to obey the safety rules (put in place due to COVID-19). To accommodate a large number of participants, we are offering the option for either physical presence (onsite) or virtual participation (online). We would be delighted if all authors and participants manage to attend; however, we are aware that in the current special circumstances, it is best to hold the event in hybrid mode.

The Conference, will be held in person with virtual rooms  for participants using a remote connection (Zoom). The lectures  (e.g., live presentations or recorded ones) will also be made available online. We will make sure that the sessions also run live, such that the presenters can show and explain their results, and the attendees can ask questions and interact with the presenters. The sessions will be held one at a time which will allow participants from overseas to attend as many sessions as possible.

The keynote lectures (of the Lecturers who will give their consent to the recording of the lessons) will be recorded such that online participants can follow them either live or at any time they like to.

If the situation does not allow the event to take place in person, the event will instead be converted to a fully online mode.

Obviously, if ACDL 2021 will be converted into a fully online event, participants who paid the onsite registration fee will be refunded the difference, and will thus only pay the online registration fee.

Moreover, it is important to note that it is possible to change the mode of participation (the Registration):

from Onsite Registration → to Online Registration and similarly

from Online Registration → to Onsite Registration

We are offering the possibility to change the mode of participation to ACDL 2021. Those who register in one mode can easily change it by 19 June (one month before the course starts).

  • It is possible to take Onsite Registration and then change it to Online Registration and get a corresponding refund, but this decision must be made by 19 June.
  • Similarly, you can do Online Registration and then upgrade to Onsite Registration and pay the difference (via PayPal); this decision must also be made by 19 June.

Finally, in this edition of ACDL, the registration fee includes online participation to two additional Events:

  1. LOD 2021 – The 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – October 5 – 8, 2021, and
  2. ACAIN 2021 – Advanced Course and Symposium  on Artificial Intelligence and Neuroscience (co-located event to LOD 2021).

One registration for participation in three events: ACDL, LOD & ACAIN!

If you have any questions please write to the organising committee:

See you (in-person or virtually – in 3D or in 2D 🙂 ) in Siena – Tuscany  in July (and again in virtual mode in October)!

The ACDL 2021 Organizing Committee.