8 citations · 33 across the 21 of their papers we have counts for
22 papers
Overcoming Tight Constraints in Soft Happy Colouring
Mohammad Hadi Shekarriz, Asef Nazari, Dhananjay Thiruvady
The Soft Happy Colouring (SHC) problem, a mathematical framework for identifying homophilic network structures, seeks to maximise the number of -happy vertices, i.e., vertices w…
Multiobjective Model Predictive Control for Residential Demand Response Management Under Uncertainty
Guan-Ting Lin, Wei-Yu Chiu, Chien-Feng Wu +2
Residential users in demand response programs must balance electricity costs and user dissatisfaction under real-time pricing. This study proposes a multiobjective model predictive…
ALFA: A Safe-by-Design Approach to Mitigate Quishing Attacks Launched via Fancy QR Codes
Muhammad Wahid Akram, Keshav Sood, Muneeb Ul Hassan +1
Phishing with Quick Response (QR) codes is termed as Quishing. The attackers exploit this method to manipulate individuals into revealing their confidential data. Recently, we see…
Audio Physical Dynamics Inspired Deepfake Detection for Voice Authentication Systems
Alireza Mohammadi, Keshav Sood, Dhananjay Thiruvady +1
Voice authentication systems deployed at the network edge face dual threats: a) sophisticated deepfake synthesis attacks and b) control-plane poisoning in distributed federated lea…
Bayesian Network Fusion of Large Language Models for Sentiment Analysis
Rasoul Amirzadeh, Dhananjay Thiruvady, Fatemeh Shiri
Large language models (LLMs) continue to advance, with an increasing number of domain-specific variants tailored for specialised tasks. However, these models often lack transparenc…
A Bi-Objective Mathematical Model for the Multi-Skilled Resource-Constrained Project Scheduling Problem Considering Reliability: An AUGMECON2VIKOR Hybrid Method
Mohammad Ghasemi, Asef Nazari, Dhananjay Thiruvady +3
In recent years, resources with multiple skills have received attention as an extension of the resource-constrained project scheduling problem known as MSRCPSP. Although the disrup…
Finding happiness by evolutionary algorithms
Mohammad Hadi Shekarriz, Dhananjay Thiruvady, Asef Nazari
A recent line of research concerns the problem of soft happy colouring (SHC), which requires that a partially coloured graph be extended to a complete colouring to maximise local a…
Local Search Improvements for Soft Happy Colouring
Mohammad Hadi Shekarriz, Dhananjay Thiruvady, Asef Nazari +1
For and a coloured graph , a vertex is -happy if at least of its neighbours have the same colour as . Soft happy colouring of a part…
Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems
Alireza Mohammadi, Keshav Sood, Dhananjay Thiruvady +1
Voice authentication systems remain susceptible to two major threats: backdoor triggered attacks and targeted data poisoning attacks. This dual vulnerability is critical because co…
Fruit Classification System with Deep Learning and Neural Architecture Search
Christine Dewi, Dhananjay Thiruvady, Nayyar Zaidi
The fruit identification process involves analyzing and categorizing different types of fruits based on their visual characteristics. This activity can be achieved using a range of…
Securing Voice Authentication Applications Against Targeted Data Poisoning
Alireza Mohammadi, Keshav Sood, Asef Nazari +1
Deep neural network-based voice authentication systems are promising biometric verification techniques that uniquely identify biological characteristics to verify a user. However,…
Soft happy colourings and community structure of networks
Mohammad H. Shekarriz, Dhananjay Thiruvady, Asef Nazari +1
For , a -happy vertex in a coloured graph has at least same-colour neighbours, and a -happy colouring (aka soft happy colouring) o…
Risk-Constrained Community Battery Utilisation Optimisation for Electric Vehicle Charging with Photovoltaic Resources
Khalil Gholami, Asef Nazari, Dhananjay Thiruvady +3
High penetration of renewable generation in the electricity grid presents power system operators with challenges including voltage instability mainly due to fluctuating power gener…
Genetic-based Constraint Programming for Resource Constrained Job Scheduling
Su Nguyen, Dhananjay Thiruvady, Yuan Sun +1
Resource constrained job scheduling is a hard combinatorial optimisation problem that originates in the mining industry. Off-the-shelf solvers cannot solve this problem satisfactor…
A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading
Rasoul Amirzadeh, Dhananjay Thiruvady, Asef Nazari +1
Despite advances in artificial intelligence-enhanced trading methods, developing a profitable automated trading system remains challenging in the rapidly evolving cryptocurrency ma…
Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships
Rasoul Amirzadeh, Dhananjay Thiruvady, Asef Nazari +1
Cryptocurrencies have gained popularity across various sectors, especially in finance and investment. Despite their growing popularity, cryptocurrencies can be a high-risk investme…
Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
Rasoul Amirzadeh, Asef Nazari, Dhananjay Thiruvady +1
This study identifies the key factors influencing the price movements of major cryptocurrencies, Bitcoin, Binance Coin, Ethereum, Litecoin, Ripple, and Tether, using Bayesian netwo…
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling
Yuan Sun, Su Nguyen, Dhananjay Thiruvady +3
Constraint programming (CP) is a powerful technique for solving constraint satisfaction and optimization problems. In CP solvers, the variable ordering strategy used to select whic…
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling
Dhananjay Thiruvady, Su Nguyen, Yuan Sun +3
Transporting ore from mines to ports is of significant interest in mining supply chains. These operations are commonly associated with growing costs and a lack of resources. Large…
An Efficient Merge Search Matheuristic for Maximising the Net Present Value of Project Schedules
Dhananjay R. Thiruvady, Su Nguyen, Christian Blum +1
Resource constrained project scheduling is an important combinatorial optimisation problem with many practical applications. With complex requirements such as precedence constraint…
A hybrid deep-learning approach for complex biochemical named entity recognition
Jian Liu, Lei Gao, Sujie Guo +6
Named entity recognition (NER) of chemicals and drugs is a critical domain of information extraction in biochemical research. NER provides support for text mining in biochemical re…
Instance Space Analysis for the Car Sequencing Problem
Yuan Sun, Samuel Esler, Dhananjay Thiruvady +3
We investigate an important research question for solving the car sequencing problem, that is, which characteristics make an instance hard to solve? To do so, we carry out an insta…