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Applied Computing

Available Speakers and their Lectures on this Topic

Rizwan Ahmed – Nagpur, India

Information Technology Top Research and Development Trends 2019
This talk will cover various technical aspects related to Information Technology Top Research and Development Trends 2019. This talk will cover following specific...

Erik Brunvand – UT, United States

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, United States

Research Experiences for Undergraduates (for Faculty)
Research Experiences for Undergraduates have been shown to have very positive results for recruitment, retention, and helping good students excel in computing majors. These experiences are...

Muhammad Aamir Cheema – Melbourne, VIC, Australia

Urban Computing for a Sustainable Future: Some Research Directions for Greener and Safer Cities
In this talk, we will discuss some important research directions in urban computing focusing on data management and analytics techniques to create sustainable, safe, and resilient cities. First,...

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

Novel Digital Installations for Visitor Interpretation in Museums and Cultural Heritage Sites: Challenges and Lessons Learned
Interactive technology has long been applied to cultural heritage settings for the purpose of informing and engaging visitors. Findings from a number of studies suggest that, however, technology...

Swagatam Das – Kolkata, India

Evaluating the Bio-Inspired Optimization Algorithms: Modern Performance Indicators and (Non-parametric) Statistical Testing Framework
A multitude of bio-inspired optimization algorithms continuously emerge to address the immense complexities inherent in non-convex, multi-modal, and multi-dimensional optimization problems, which...

Bronis R de Supinski – Livermore, CA, United States

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, United States

Machine Learning Assisted Improvements to Multi-Criterion Optimization Algorithms
Multi-criterion optimization problems give rise to a set of Pareto-optimal solutions, which first must be found before a single preferred solution is chosen for implementation. To find a...
Problem Solving with Multiple Criteria ? A New and Innovative Tool in Computing
Most practical search and optimization related problem-solving tasks involve multiple conflicting criteria, which all must be considered simultaneously during an optimization algorithm. A...
Recent Advancements in Evolutionary Multi-Criterion Optimization and Decision-making
Evolutionary multi-criterion optimization (EMO) research is now more than three decades old. Efficient algorithms and demonstrative applications have encouraged researchers...

Henry Duh – Melbourne, VIC, Australia

Augmented Reality: Current Research Development and Future Directions
Augmented Reality (AR) is one of the emerging technologies and prevailing research areas in recent years. It gives numerous opportunities to create new interaction style...

Lance Eliot – Palo Alto, CA, United States

Artificial Intelligence Trends for Computer Science Students
Artificial Intelligence (AI) is a hot topic and offers great opportunities for computer science students. This talk covers the latest key trends in AI and discusses research challenges worthy of...
Career Advice for Computer Science Students
What will you do after completing your computer science degree? Many computer science students are unsure of what they will do next after graduation. There are a multitude of avenues to choose...
Entrepreneurship for Computer Science Students
Computer science students often dream of being an entrepreneur and launching a high-tech startup but do not know what this entails and how to get underway. This talk covers the key elements of...

Bjoern M Eskofier – Erlangen, Germany

Musculoskeletal Simulation in Sports and Medicine
Musculoskeletal Simulation is applied to analyze and understand human movement e.g., for medical assessments, performance analysis, the study of human-product interaction. The objective is...

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, United States

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

Cellular Computing: From Inspiration to Implementation
This lecture provides a historical overview of cellular computing, highlighting its profound intersection with computer science and biology over the decades. It explores how biology has...
Engineering Boolean Logic Circuits with Living Matter
Within a living cell, a gene can either be expressed or not, akin to the digital on-off signalling familiar in electronic engineering. While there are of course numerous differences, this...
Toward Next-Generation Biocomputing: The Need for Computer Scientists!
This lecture explores the vital roles computer scientists can play in advancing biocomputing. From conducting computational simulations and developing theoretical frameworks to creating software...

Zhu Han – Houston, TX, United States

Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks
Providing “connectivity from the sky” is one new innovative trend in wireless communications for beyond 5G or coming 6G communication systems. Satellites, high and low altitude...
Cryptoeconomics: Economic Mechanisms behind Blockchains
Due to its salient features including decentralization, anonymity, security, trust, and auditability, blockchain has attracted tremendous attention from both academia and industry. The advent of...
Federated Learning and Analysis with Multi-access Edge Computing
In recent years, mobile devices are equipped with increasingly advanced computing capabilities, which opens up countless possibilities for meaningful applications. Traditional cloud-based Machine...
Hybrid Quantum and Classic Computing for Future Networking
Benefited from the technology development of controlling quantum particles and constructing quantum hardware, quantum computation has attracted more attention in recent year. In communication...
Mean Field Game Applications in Robots and UAVs
Mean field games (MFGs) deal with the study and analysis of differential games (DGs) with a large number of indistinguishable, rational, and heterogeneous players. These methodologies approximate...
Multi-Armed Bandits and Its Application in Wireless Networks
In recent years, multi-armed bandit (MAB), which can effectively tradeoff the well-known exploitation and exploration (EE) dilemma in online sequential decision problems, has gained an...

Sheldon H Jacobson – Urbana, IL, United States

Analytical Models for Generating NCAA Men's Basketball Tournament Bracket Pools: Injecting Computation into March Madness
Each year, the NCAA Division I Men’s Basketball Tournament attracts popular attention, including bracket challenges where fans seek to pick the winners of the tournament’s games....

Artur Lugmayr – Perth, WN, Australia

Designing Interactive Data Visualizations that Work: Current Research and Future Directions
Big Data research requires the facilitation of modern methods to allow the creation of user-centred appealing data visualizations through data storytelling, dashboards, augmented and virtual...
Science Management "for Dummies" - Tools for Successful Early Career Scholars
This more motivational talk is addressed towards early career researchers, doctoral students, and others at the beginning of their scientific careers. This talk should help future scholars...
Serious Storytelling - Storytelling Outside the Entertainment Context
Storytelling has a long tradition in human culture – we told and tell stories to entertain, transfer knowledge between generations, keep our cultural heritage, warn others about danger, or...

Prasant Kumar Misra – Bangalore, India

A Conservative View of IoT
The Internet of Things, or the IoT is a vision for a ubiquitous society wherein people and "Things" are connected in an immersively networked computing environment, with the connected...
Control, Optimization and Management of Electric Mobility
Urban mobility is evolving from a fixed supply chain that delivers process-driven travel to a dynamic ecosystem that delivers on-demand services. This new mobility model requires control and...
Information Processing Techniques for Mobile Sensing and IoT at Scale
The number of intelligent devices continues to grow exponentially, giving smart things the ability to sense and control over the hyper-connected Internet of Things (IoT) space. Certain...

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

Controlling Malaria with the help of agent-based models
Malaria is one of the most devastating global health issues. Wouldn't it be wonderful if we could model the Malaria vectors (i.e., different mosquito species) so as to check which...
Prediction based on biological sequences (where Machine Learning meets Life Sciences)
Due to the rapid development of fast sequencing technologies, we now have tremendous amount data on different biological sequences. For example, the number of sequence-known proteins has...
What Metaheuristics can do for you?
Often we are provided with multiple options and we want to pick the best one. This is true for our daily life, but also for many scenarios in different branches of science and engineering (e.g.,...

David Sankoff – Ontario, Canada

Maximal matching, gap statistics, complete link and the reconstruction of ancient flowering plant genomes.
Starting with the phylogeny, or family tree, of a plant order, and the linear ordering of the 20,000 - 50,000 genes on the chromosomes of some typical species in this order, we wish...

Biplab Sikdar – Singapore, Singapore

Resource Allocation and Task Scheduling Algorithms for Cloud Computing
Cloud computing has grown exponentially in the business and research community over the last few years. It is now an emerging field and becomes more popular due to recent advances in...

Ram Sriram – Gaithersburg, MD, United States

Artificial Intelligence and Machine Learning in Manufacturing: An Overview Speaker
Artificial Intelligence (AI) is concerned with the development of computer programs that emulate the intelligence of humans, i.e., AI is deeply concerned with the understanding of human...
Information Technology for the Health Care Enterprise
According to a report by the Center for Medicare and Medicaid Services [CMS] (http://www.cms.gov), the United States spent nearly $4.3 trillion...
On Computational Challenges in Cyber-Physical-Social System Design
The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. These networks are currently being extended to...
The Role of NIST in the Development of Standards
The National Institute of Standards and Technology (NIST) is an agency of the United States Government. NIST’s mission is to...

Gabriel Wainer – Ottawa, ON, Canada

Cellular Modeling with Cell-DEVS: a Discrete-Event Cellular Automata formalism
In recent years, grid-shaped cellular models have gained popularity to understand physical systems. Complex cell spaces can require large amounts of compute time, mainly due to its...
Cellular Models in Buildings to study the indoor spread of COVID-19
Simulation models based on the traditional Susceptible-Infectious-Recovered (SIR) equations have been used to predict the pandemic dynamics. These models are being used at present to...
Discrete-Event Modeling and Simulation Methodologies: Past, Present and Future
Modeling and Simulation methods have been used to better analyze the behavior of complex physical systems and it is now common to use simulation as a part of the scientific and...
Discrete-Event Modeling and Simulation for Development of Embedded and Real-Time Systems
Embedded real-time software construction has usually posed interesting challenges due to the complexity of the tasks these systems have to execute. Most methods for developing these systems...
Modeling and Simulating Emerging Behaviour in Spatial Systems with Cell-DEVS
In recent years, new methodologies have allowed building agent-based simulation software executing on grid-shaped cell spaces. There have been numerous efforts integrating agents and...
Modeling and Simulation of Cellular Networks: formalizing the models
Modeling and Simulation methods have been used to better analyze the behavior of complex physical systems and it is now common to use simulation as a part of the technological discovery...
Recent advances in Crowd Modeling and Simulation
Crowd simulation demands careful consideration between the classic tradeoff between accuracy and efficiency. Particle-based methods have seen success in various applications in...
Simulation Everywhere
In recent years, we have developed new methods to include simulation services in remote servers using RESTful Web Services and Modeling and Simulation As A Service (MSAAS). The main...

Mohamed Zahran – New York, NY, United States

GPUs in Machine Learning and Big-Data Era: The Good, the Bad, and the Ugly
We live in an era where data volume, diversity, and speed are skyrocketing. As a result, two main tracks are needed: algorithms to deal with that and hardware to process it. In this talk, I...
Hardware Support for AI
With machine learning (ML) techniques infiltrating many aspects of our life and businesses, an important question to answer is: what is the best hardware to use for my particular case? In this...
Processing in Memory: Opportunities and Challenges
One of the main factors that negatively affects performance and power consumption of a computer system is communication. That is, moving data from one point to another, especially among cores or...
The Era of Accelerators: Are they Really the Solution for Post-Moore?
With the stagnation of Dennard scaling and the severe technical and economic problems Moore’s law is facing, we need to be prepared for the post-Moore era. The main solution, so far, is to...
The Road to Exascale: Challenges and Opportunities
The increasing complexity of scientific disciplines is continuously driving the need for more powerful computing machines. While petascale machines were once adequate, we are now...