Applied Computing

Available Speakers and their Lectures on this Topic

Rizwan Ahmed – Nagpur, India

Mehdi Bahrami – Santa Clara, CA, USA

Erik Brunvand – UT, USA

  • What Programmers Should Know about DRAM
    Dynamic Random Access Memory (DRAM) is what makes up the "main memory" of most computer hardware. It's also much stranger than you might think, and has hidden complexity that...

Margaret Burnett – Corvallis, OR, USA

Muhammad Aamir Cheema – Melbourne, VIC, Australia

Aswani Kumar Cherukuri – Vellore, India

  • Demystifying Quantum Computing Technology
    As the Moore’s law has reached the maximum pivot point, Conventional Computing is at the saturation levels in terms of achieving more computational capability.  Further, there...

Luigina Ciolfi – Cork, Ireland

Swagatam Das – Kolkata, India

Bronis R de Supinski – Livermore, CA, USA

  • El Capitan: The First NNSA Exascale System
    Livermore Computing (LC), Lawrence Livermore National Laboratory's (LLNL's) supercomputing center, and HPE are deploying the first US exascale system focused on national security. This...

Kalyanmoy Deb – MI, USA

Lance Eliot – Palo Alto, CA, USA

Bjoern M Eskofier – Erlangen, Germany

Vagner Figueredo de Santana – São Paulo, Brazil

  • Challenges and Opportunities for Responsible Prompting
    Generative AI systems such as ChatGPT and Midjourney are transforming how we create, learn, and innovate yet the responsible use of these technologies often remains an afterthought. In this talk,...
  • Challenges and Opportunities in Responsible AI Project
    In this talk, I introduce the Responsible and Inclusive Technology Framework, a formative framework designed to guide technologists, researchers, and organizations toward more ethical and...
  • LLM on the Web: Contexts of Creation & Use of Technology
    Large Language Models (LLMs) are transforming how we access, produce, and understand information on the Web yet the distance between their contexts of creation and use is growing rapidly. This...
  • My Journey as an Inventor
    In this talk I present the audience with my journey through the world of patents and innovation. From understanding what patents are and what can be protected, to exploring the differences between...

João Gama – Porto, Portugal

  • Predictive Maintenance: the case of MetroPT
    Predictive Maintenance is part of a broader context. The goal is to identify the most probable causes and act to solve the problem before it escalates. In complex systems knowing that...

Donald Gotterbarn – Johnson City, TN, USA

  • Software Development: Think beyond the code.
    Non-programming related issues that affect the computing professional’s efforts to develop quality software and web interfaces impact the process in subtle, yet important ways. Development...

Angel Goñi-Moreno – Madrid, Spain

Zhu Han – Houston, TX, USA

Sheldon H Jacobson – Urbana, IL, USA

Bertrand Meyer – Zurich, Switzerland

Prasant Kumar Misra – Bangalore, India

Peyman Moghadam – Brisbane, QLD, Australia

San Murugesan – Sydney, NSW, Australia

  • Quantum Computing: A Revolution in The Making
    As classical computing (traditional transistor-based computing) is reaching its performance limits, interest in quantum computing is on the rise.  Based on the principles of quantum...

M. Sohel Rahman – Dhaka, Bangladesh

Albert Ali Salah – Utrecht, Netherlands

David Sankoff – Ottawa, ON, Canada

Yiyu Shi – Notre Dame, IN, USA

Ram Sriram – Gaithersburg, MD, USA

Andriyan Bayu Suksmono – Bandung, Indonesia

  • Finding Hadamard Matrices Using Quantum Computers
    Quantum computing — harnessing the superposition, tunneling, and entanglement principles — offers capabilities of problem solving beyond the classical Turing-Machine mode. This...
  • Quantum Technology: The Second Quantum Revolution
    This presentation explores the Second Quantum Revolution and its impact on computing, communication, and sensing. After reviewing the evolution of information technology and the limitations of...
  • Understanding Compressive Sensing
    Compressed Sensing or Compressive Sampling (CS) is a new paradigm in modern signal processing and sensing. Rooted in the uncertainty principle—CS provides a powerful framework for...

Gabriel Wainer – Ottawa, ON, Canada

Haixun Wang – ISSAQUAH, WA, USA

Mohamed Zahran – New York, NY, USA