Speakers

Jodi Garcia -INCCST

Prof. Jordi Garcia

Associate (tenured) Professor

Title:
Green Cities

Abstract:
Design and definition of a global distributed data management architecture for smart cities, through a Fog-to-Cloud (F2C) resources management framework. Considering all data lifecycle stages, from creation to consumption, including data preservation. Effective data collection and storage for efficient real-time data access and Big Data processing.

Affiliation:
Prof. Jordi Garcia Almi単ana
Associate (tenured) Professor
Polytechnic University of Catalonia , Spain
Campus Nord Modul C6 – 120 C/ Jordi Girona, 1-3 08034 Barcelona

Salman Ahmed Shaikh- INCCST

Dr. Salman Ahmed Shaikh

Research Scientist

Title:
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Data Streams

Abstract:
Apache Flink is an open-source system for scalable processing of batch and streaming data. Flink does not natively support efficient processing of spatial data streams, which is a requirement of many applications dealing with spatial data. Besides Flink, other scalable spatial data processing platforms including GeoSpark, Spatial Hadoop, etc. do not support streaming workloads and can only handle static/batch workloads. To fill this gap, we propose GeoFlink, which extends Apache Flink to support spatial data types, indexes and continuous queries over spatial data streams. To enable efficient processing of spatial continuous queries and for the effective data distribution across Flink cluster nodes, a gird-based index is introduced. GeoFlink currently supports spatial range, spatial kNN and spatial join queries on several spatial data types including point, line and polygon. In this talk, I will discuss several existing scalable spatial data processing frameworks and will go through the technical details of GeoFlink and its applications.

Affiliation:
Salman Ahmed Shaikh
Research Scientist
Artificial Intelligence Research Center (AIRC)
National Institute of Advanced Industrial Science and Technology (AIST)
Tokyo Waterfront 2-4-7 Aomi, Koto-ku, Tokyo 135-0064 JAPAN
Email: [email protected]

Prof. Dr. Noman Islam

Professor, Head MS/PhD Program and Head of Department

Title:                                                                                                                                                                                Deep Learning for Computer Vision and Natural Language Processing

Abstract:                                                                                                                                                                            Deep Learning is an advanced form of machine learning comprising multiple processing units (neurons) connected in various layers. The information is processed through these layers in hierarchical fashion like a distillation pipeline. In this workshop, we will go through various real world examples of deep learning in the domain of computer vision and natural language processing. We will review convolutional neural networks (CNN) and long short term memory model (LSTM), and apply them for solving various problems. All the practicals will be done in Tensorflow 2.0.

Affiliation:                                                                                                                                                                          Professor, Head MS/ PhD Program and Head of Department (HoD),
Iqra University (http://iqra.edu.pk/iuk)

 

Engr. Sumair Hamza

Sr. Software Engineer & Seasoned Trainer

Title:                                                                                                                                                                              Understanding Mono-Repo architecture and optimizing scalability of applications
application

Abstract:                                                                                                                                                                          Scaling an application is one of the core challenges in Software development, here you’ll have an e-commerce app all ready to handle thousands of users but then one day you put up a black Friday sale and out of nowhere get an influx of users which your system isn’t ready to handle and the overall site goes down. Mono-Repos can help us break our application into separate individual chunks or modules, which would run independently from one another and would give you an overall look and feel of a single app. This helps in load distribution and create stateless components. In this talk, we’ll talk about the basics of what a Mono-Repo architecture and how it can help us in application scaling. How big companies like Netflix, Hobsons, etc. are using them to handle the influx of users on their site. We’ll look into an extensive example of how things are working on the back and some getting started tools to help you get started quickly.

Affiliation:                                                                                                                                                                          10Pearls, Digital Transformation Consulting Services and Solutions (https://10pearls.com)

 

Dr. Nawab Muhammad Faseeh Qureshi

PhD., SMIEEE

Title:                                                                                                                                                                                      Smart Grid

Affiliation:                                                                                                                                                                            Sungkuynkwan University, South Korea

Dr. Manzoor Ahmed Hashmani

Associate Professor

Title:                                                                                                                                                                                  IoT enabled blockchain for Halal Food trackability and traceability.

Affiliation:                                                                                                                                                                        Associate Professor at University of Technology PETRONAS, Malaysia.                                                          Head (High Performance Cloud Computing Center)                                                                                                  Head (Data Science Cluster Department of  Computer and Information Sciences)                                                Universiti Teknologi PETRONAS, Malaysia                                                                                                 

Zul H. Kazani

Innovation Evangelist, Aspiring Neuroscientist, Strategist, Speaker, Practitioner    

Title:                                                                                                                                                                                Electroceuticals: from Molecules to Electrons –  Era of the Exponential “You”

Affiliation:                                                                                                                                                                            X-Founder / CEO – RKaz Technology Partners (M) Sdn Bhd                                                                                         President Globall Operations – The Brain Stimulation Clinic, USA                                                                             Co-Founder – InfoFacturers

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