Laureates of Computer Science and Mathematics Meet the Next Generation

For one week each September, the Heidelberg Laureate Forum (HLF) brings together promising young researchers with recipients of the most prestigious awards in computing and mathematics. This high-profile event combines scientific, social and outreach activities in an informal atmosphere, and is fueled by comprehensive exchange and scientific inspiration. Modeled after the Lindau Nobel Laureate Meetings, recipients of the ACM A.M. Turing Award, the ACM Prize in Computing, the Abel Prize, the Fields Medal, and the Nevanlinna Prize engage in a cross-generational scientific dialogue with up to 200 young researchers in Heidelberg, Germany.

ACM HLF 2023 Young Researcher Selection Committee

ACM gratefully acknowledges members of the ACM Young Researcher Selection Committee for their work reviewing the applications of young computer scientists who applied for one of the coveted spots to participate in the 10th HLF, which takes place from September 24 – 29, 2023.

Committee Co-Chairs

  • Judith Gal-Ezer, Open University of Israel, Israel
  • Thomas Zimmermann, Microsoft Research, USA

Committee Members

  • Marcelo Arenas Saavedra, Pontificia Universidad Católica de Chile, Chile
  • Luiz André Barroso, Google, Brazil
  • Paul Beame, University of Washington, USA
  • Eric Bodden, Heinz Nixdorf Institut at Paderborn University & Fraunhofer IEM , Germany
  • Stephanie Brink, Lawrence Livermore National Laboratory, USA
  • Nirupama Bulusu, Portland State Univeristy, USA
  • Christian Cachin, University of Bern, Switzerland
  • Diego Calvanese, Free University of Bozen-Bolzano (Italy) and Umeå University (Sweden), Italy
  • Srdjan Capkun, ETH Zürich, Switzerland
  • Barbara Carminati, University of Insurbria, Italy
  • Supratik Chakraborty, IIT Bombay, India
  • Edward Chang, Stanford, USA
  • Xilin Chen, Institute of Computing Technology, Chinese Academy of Sciences, China
  • Alison Clear, EIT Aukland, New Zealand
  • Philip Cohen, Openstream, Inc., Australia
  • Khuzaima Daudjee, University of Waterloo, Canada
  • Anind Dey, University of Washington, USA
  • Roberto Di Pietro, Hamad Bin Khalifa University, Qatar
  • Lieven Eeckhout, Ghent University, Belgium
  • Kaoutar El Maghraoui, IBM Research, USA
  • Barbara Ericson, University of Michigan, USA
  • Yolanda Gil, University of Southern California, USA
  • Maria Gini, University of Minnesota, USA
  • Ramaswamy Govindarajan, IISc Bangalore, India
  • Jim Hollan, University of California, San Diego, USA
  • Shadi Ibrahim, Inria, France
  • Paola Inverardi, Unviersity of L'Aquila, Italy
  • Sandy Irani, Simons Institute and the Unviersity of California, Irvine, USA
  • David Kaeli, Northeastern University, USA
  • Alfons Kemper, Technical University of Munich, Germany
  • Ponnurangam Kumaraguru, IIIT Hyderabad, India
  • Mo Li, Nanyang Technological University, Singapore
  • Helen Li, Duke University, USA
  • Xuelong Li, Northwestern Polytechnical University, China
  • Ming Lin, University of Maryland, USA
  • Tie-Yan Liu, Microsoft Research China, China
  • David Lo, Singapore Management University, Singapore
  • Pinyan Lu, Shanghai University of Finance and Economics , China
  • Diana Marculescu, University of Texas at Austin, USA
  • Mahesh Marina, University of Edinburgh, Scotland
  • Athina Markopoulou, University of California, Irvine, USA
  • Dale Miller, Inria Saclay, France
  • Gonzalo Navarro, University of Chile, Chile
  • Fatma Özcan, Google, USA
  • Manuel Perez Quinones, University of North Carolina at Charlotte, USA
  • Timothy Pinkston, University of Southern California, USA
  • Marc Pollefeys, ETH Zürich, Switzerland
  • Shaz Qadeer, Meta Research, USA
  • Balaraman Ravindran, IIT Madras, India
  • Aubrey Rembert, Pandora, USA
  • Kui Ren, Zhejiang University, China
  • John Richards, IBM T. J. Watson Research Center, USA
  • Jeffrey Rosenschein, The Hebrew University of Jerusalem, Israel
  • Mary Beth Rosson, Pennsylvaia State University, USA
  • Ingrid Russell, University of Hartford, USA
  • Bernt Schiele, Max Planck Institute Informatik, Germany
  • Heng Tao Shen, University of Electronic Scince and Technology of China, China
  • Tim Sherwood, University of California, Santa Barbara, USA
  • Yogesh Simmhan, IISc Bangalore, India
  • Munindar Singh, North Carolina State University, USA
  • Olga Sorkine-Hornung, ETH Zürich, Switzerland
  • Yuta Sugiura, Keio Universtiy, Japan
  • Jie Tang, Tsinghua University, China
  • Dacheng Tao, University of Sydney, Australia
  • Yufei Tao, Chinese University of Hong Kong, China
  • Kentaro Toyama, University of Michigan, USA
  • Kaisa Väänänen, Tampere University, Finland
  • Tao Xie, Peking University, China
  • Moustafa Youssef, American University in Cairo, Egypt
  • Yizhou Yu, University of Hong Kong, China
  • Lidong Zhou, Microsoft Research Asia, China
  • Zhi-Hua Zhou, Nanjing University, China

HLF Laureate Portraits

The HLF Laureate Portraits is a series of video interviews with the recipients of the ACM A.M. Turing Award, the ACM Prize in Computing, The Abel Prize, the Fields Medal, and the Nevanlinna Prize who have participated in the Heidelberg Laureate Forum. 

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Bengio Delivers Turing Award Lecture

2018 ACM A.M. Turing Award Laureate Yoshua Bengio delivered his Turing Lecture at the Heidelberg Laureate Forum (HLF) on Monday, September 23. Bengio received the 2018 A.M. Turing Award with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. The title of Bengio's lecture is "Deep Learning for AI," and video of Bengio delivering it is available for viewing on the official HLF YouTube channel. 

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“New Ways of Thinking of the Mobile Phone for Healthcare” Lecture at 7th HLF

In his debut lecture at the 7th Heidelberg Laureate Forum, Patel describes a collection of research projects conducted with his clinical collaborators that leverage the sensors on mobile devices (such as microphones, cameras, and accelerometers) in new ways to enable the screening, self-management and longitudinal study of diseases.

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