Online International Workshop – “AI for Edge Computing (AIEC2023)”
Muscat College

A great variety of Internet of Things (IoT) applications have been developed in the last few years and are getting more and more popularity thanks to their capability of providing society and citizens with improved services and lifestyle. Many applications, ranging from autonomous driving, healthcare, smart cities up to industrial environments, increasingly exploit IoT-based services to support decision-making systems and take advantage of data-driven services. IoT applications are based on the presence of geographically distributed sensors to collect heterogeneous kinds of data about the surrounding environment. Such data are typically sent to a cloud computing data center to be processed using machine learning and Artificial Intelligence (AI) algorithms.

For some applications, the traditional cloud-based approach may not represent the most convenient choice. For example, for bandwidth-bound applications, the increasing volume of produced data is likely to make transferring and processing data at a remote cloud data center too expensive or not convenient for network constraints. Indeed, a high network utilization may be unwanted due to costs related to the cloud pricing options, even when the network load does not lead to a performance degradation. Other IoT applications have essential requirements related to latency and response time (e.g., real-time contexts) and cannot cope with a remote cloud data center’s high network delay. In these cases, an Edge Computing paradigm is likely to represent a preferable solution.

The main feature of an edge computing infrastructure is a layer of edge nodes located on the network edge, close to the sensors, to host tasks aimed at preprocessing, filtering, and aggregating the data coming from the distributed sensors. The layer of edge nodes, placed in an intermediate position between sensors and the remote cloud data center, presents a twofold advantage. First, it may reduce the data volume transferred to the cloud through pre-processing and filtering performed on the network edge. Second, the intermediate layer of edge nodes reduces latency and response times for latency-bound applications. However, the increased complexity due to the introduction of the edge nodes layer opens novel issues concerning the infrastructure design.

Date: Thursday, 23rd February 2023

Time: 8.45 am to 12:00 pm


Muscat College

Dr. S Suresh Kumar

Dr. S Suresh Kumar M.S, Ph.D. (CSE) – BITS Pilani, a Data Science coach with over 27 years of experience in Data Science having served both in India and Abroad and currently having trained professionals from lead organisations such as Bosch, IBM, Accenture, Indian Army, MSME (Govt of India), etc (to name a few) will coach all participants using FUSION technology, wherein all concepts right from scratch till solving industry-ready problems will be dwelled upon by me. I have also been involved in many Industrial Consultancy projects in Data Science which have helped the Organisation transform itself.


The workshop will be 100% hands-on

Hardware and Software requirements

  • Laptop/Desktop PC preloaded with Google COLAB
  • Headset with Mic
  • All users need to have a free or paid gmail account to access the browser



08.45 – 9.00

Online Registration


09:00 – 9.05

Welcome Address

09:05 to 11:30 

  • Performance Modelling in Edge Computing Infrastructure 
  • Problem Formulation 
  • Practical Usage


  • Question & Answer
  • Feedback
  • Session Closing 

Targeted Audience:

  • Working professionals who wish to boost their career in Data Science / Big Data technologies.
  • Students who wish to pursue their career in Data Science / Big Data and its applications.
  • Academicians from Higher Education Institutions in the Sultanate of Oman based on the recommendation from each institute.

No Participation Fees. Limited seats only.

Please register your name at :

Muscat College

The link for joining the workshop will be sent to the registered users.
For more details, please contact: Dr. Sarachandran Nair, GSM: 99704304 email: [email protected] 

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