A5032820782- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Risk and Safety Analysis
- Software Engineering Research
- Statistical Distribution Estimation and Applications
- Infrastructure Resilience and Vulnerability Analysis
- Network Security and Intrusion Detection
- Evacuation and Crowd Dynamics
- Radiation Effects in Electronics
- Software System Performance and Reliability
- Anomaly Detection Techniques and Applications
- Information and Cyber Security
- Adversarial Robustness in Machine Learning
- Distributed systems and fault tolerance
- Probabilistic and Robust Engineering Design
- Transportation Planning and Optimization
- Fault Detection and Control Systems
- Power System Reliability and Maintenance
- Underwater Vehicles and Communication Systems
- Software Testing and Debugging Techniques
- Occupational Health and Safety Research
- Energy Efficient Wireless Sensor Networks
- Cloud Data Security Solutions
- Facility Location and Emergency Management
- Machine Learning and Algorithms
University of Massachusetts Dartmouth
2016-2025
Dartmouth College
2022
University of Massachusetts Boston
2017-2019
University of Connecticut
2007-2013
Fairfield University
2009
Time synchronization is an important requirement for many services provided by distributed networks. A lot of time protocols have been proposed terrestrial Wireless Sensor Networks (WSNs). However, none them can be directly applied to Underwater (UWSNs). algorithm UWSNs must consider additional factors such as long propagation delays from the use acoustic communication and sensor node mobility. These unique challenges make accuracy procedures even more critical. solutions specifically...
Recapitulating inherent heterogeneity and complex microarchitectures within confined print volumes for developing implantable constructs that could maintain their structure
Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these is crucial for fostering public confidence in their use. This necessitates modeling analysis data specific to AI systems. A major challenge research, particularly those academia, lack readily available data. To address this gap, paper focuses on conducting a comprehensive review establishing DR-AIR: repository reliability. Specifically, we introduce key measurements...
Swarms of autonomous underwater vehicles (AUVs) forming mobile networks often operate in moving currents, which introduce severe turbulence that interferes with coordinated and stealthy navigation fleet. Therefore, individual AUV must adjust their heading whenever needed to ensure it can reach a pre-determined destination. To achieve accurate navigation, AUVs maintain precise knowledge locations. This paper develops the "Suave" (Swarm vehicle localization) algorithm localize swarms operating...
Cyber security is of great concern to the Department Homeland Security (DHS) and other organizations within government, as cyberspace gateway services infrastructure, making them vulnerable a wide range software-based attacks that could result in physical cyber threats hazards. It extremely difficult secure these cyber-physical systems (CPS) due complexity their interfaces, which often leaves exposed elevated levels risk severe disruptions, including information violations threaten national...
Since its introduction in 1977, the expectation maximization (EM) algorithm has been one of most important and widely used estimation method estimating parameters distributions presence incomplete information. In this paper, a variant EM algorithm, conditional (ECM) is introduced for first time it provides promising alternative nonhomogeneous poisson (NHPP) software reliability growth models (SRGM). This circumvents difficult M-step by replacing series steps. The utility ECM approach...
Correlated component failures (COCOF) may impact the reliability of a software application, and hence these types must be explicitly incorporated into analysis. The influence COCOF on application analyzed within context architecture. Contemporary analysis approaches that incorporate COCOF, however, cannot scale to even moderate-sized applications. This paper presents an efficient, scalable approach analyze component-based system, considering its effectiveness is illustrated through two...
Advances in machine learning (ML) have led to applications safety-critical domains, including security, defense, and healthcare. These ML models are confronted with dynamically changing actively hostile conditions characteristic of real-world applications, requiring systems incorporating be reliable resilient. Many studies propose techniques improve the robustness algorithms. However, fewer consider quantitative assess changes reliability resilience these over time. To address this gap,...
The growing dependence of society on software systems places a high premium their reliable operation. Moreover, the stringent reliability expectations imposed these must be achieved despite increasing size and complexity, decreasing resources available for development maintenance. To mitigate dual challenges, systematic approach to guide allocation components system is necessary. This paper presents an optimization framework which considers contribution each component determine amount effort...
Summary Many non‐homogeneous Poisson process software reliability growth models (SRGM) are characterized by a single continuous curve. However, failures driven factors such as the testing strategy and environment, integration resource allocation, which can introduce one or more changepoint into fault detection process. Some researchers have proposed SRGM, but only consider common failure distribution before after changepoints. This paper proposes heterogeneous framework for exhibit different...
Cyber-physical systems encompass multiple system domains (i.e., water, energy, networking) with heterogeneous goals and complexity of interactions. Existing technologies do not address the disparate time spatial scales across many domains, especially latest threats challenge spaces. New methods to manage resilience systems, including integrating new computing sensing strategies, machine learning artificial intelligence, as well advanced analytics prediction, are required ensure that...
Production network performance and reliability are essential to satisfy customer orders in a timely manner. This paper proposes statistical method for production system demand with desired level of confidence, referred as yield while simultaneously considering reliability, defined the probability that amount input can be processed based on capacities individual workstations. The approach models stochastic-flow network, characterized by discrete time Markov chain (DTMC), where one or more...
This paper develops two techniques to analyse the performance of a stochastic-flow network (SFN) model, considering correlated failures. The first approach utilizes binomial distribution characterize failure behavior physical lines and routers internal individual edges nodes in network. second employs simulation technique, which can failures between every pair different comprising Both approaches quantify probability that given amount data be sent from source sink through this satisfies...
Nonhomogeneous Poisson process (NHPP) and software reliability growth models (SRGM) are a popular approach to estimate useful metrics such as the number of faults remaining, failure rate, reliability, which is defined probability free operation in specified environment for period time. We propose performance-optimized expectation conditional maximization (ECM) algorithms NHPP SRGM. In contrast (EM) algorithm, ECM algorithm reduces maximum-likelihood estimation multiple simpler (CM)-steps....