6 citations · 29 across the 17 of their papers we have counts for
17 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…
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…
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…
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…
SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data
Ali Eshragh, Luke Yerbury, Asef Nazari +2
We develop a new efficient sequential approximate leverage score algorithm, SALSA, using methods from randomized numerical linear algebra (RandNLA) for large matrices. We demonstra…
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…
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training
Antonio Robles-Kelly, Asef Nazari
In this paper, we incorporate the Barzilai-Borwein step size into gradient descent methods used to train deep networks. This allows us to adapt the learning rate using a two-point…
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…
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh, Fred Roosta, Asef Nazari +1
We apply methods from randomized numerical linear algebra (RandNLA) to develop improved algorithms for the analysis of large-scale time series data. We first develop a new fast alg…