The Schedule (Tentative) 

Day-1 : 6 Sep 2023

9:00 - 9:15    Inauguration & Welcome Address  

Professor Simon Green 

Pro-Vice Chancellor for Research, Aston University, UK

Professor Simon is responsible for the University’s strategy around impactful, collaborative, excellent, and sustainable research, and is the current Chair of the Executive Management Group of Midlands Innovation, which brings together Aston, Birmingham, Cranfield, Keele, Leicester, Loughborough, Nottingham and Warwick Universities.

Dr. Nitin Naik

General Chair UKCI-2023

09:15 -  10:30        Session 1 : AI Applications - I  

Session Chair  : Neil Mac Parthaláin

A Human-friendly Verbal Communication Platform for Multi-Robot Systems: Design and Principles

Object Detection in Heritage Archives using a Human-in-Loop AI Concept

AI Generated Art: Latent Diffusion-based Style and Detection

Probability Approximation Based Link Prediction Method for Online Social Network

Exploring Community Detection Algorithms and Their Applications in Social Networks

10:30 - 11:00         Tea & Coffee Break

 11:00- 12:15        Session- 2 :  Deep Learning-I

Session Chair  : Jordan J. Bird

Towards Reinforcement Learning for Non-Stationary Environments

 Reward-Guided Individualised Communication for Deep Reinforcement Learning in Multi-Agent Systems

 An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network

  Noise Profiling for ANNs: A Bio-inspired Approach

The Exploration of Model for Linguistic Operation on Architectural Facade

12:15 – 14:00 Lunch Break at Conference Aston Hotel

15:00 – 15:3Tea & Coffee Break

15:30 – 16:45   Session 3 : Cybersecurity

Session Chair  : Paul Jenkins

Privacy and Security Landscape of Metaverse

  Cyberattack Analysis Utilising Attack Tree and Various Weighted Average Probability and Risk of Attack

Analysing Cyberattacks using Attack Tree and Fuzzy Rules

Machine Learning based XSS Attacks Detection Method

  An Intrusion Detection System using the XGBoost Algorithm for a Software-Defined Vehicular Network

16:30 -18:00  Session 4   Machine Learning-I

Session Chair  : Shaligram Prajapat

Analyzing Supervised Learning Models for Predicting Student Dropout and Success in Higher Education

Towards the Use of Machine Learning Classifiers for Human Activity Recognition Using Accelerometer and Heart Rate Data from ActiGraph

Effect of News Headlins on Crypto Prices using Sentiment Analysis

 Detection of Cyberbullying on Social Media Platforms using Machine Learning

  An Exploratory Ukraine Rising Commodities Price Analysis: Towards a Resilient Food System

18:00   CLOSE Day - 1