Jerome Dinal Herath

In this paper, we investigate the request routing delay of opportunistic routing for cache-enabled wireless networks considering uncorrelated and temporally correlated wireless channels. We model wireless channel variation at different time scales via two approaches-i) an abstract modeling approach where we model the variation considering Rayleigh...

Accurately modeling and predicting wireless channel quality variations is essential for a number of networking applications such as scheduling and improved video streaming over 4G LTE networks and bit rate adaptation for improved performance in WiFi networks. In this paper, we propose an encoder-decoder based sequence-to-sequence deep learning mode...

Research integrity is crucial to ensuring the trust-worthiness of scientific discoveries. This work is aimed at detecting misbehaviors targeting scientific workflows, which are computing paradigms widely used to facilitate scientific collaborations across multiple geographically distributed research sites. We develop a new system called RAMP (Real-...

Municipal Solid Waste (MSW) management enact a significant role in protecting public health and the environment. The main objective of this paper is to explore the utility of using state-of-the-art machine learning and deep learning-based models for predicting future variations in MSW generation for a given geographical region, considering its past...

slides for RAMP paper in IEEE Big Data 2019

Presentation slides for SciBlock published in IEEE CIC 2019

Modern scientific workflow systems lack strong support for protecting the scientific data and their provenance from being forged or altered. As a result, scientists may be misled into believing that they have found a specific result, but only to discover later that the data they used have been altered and should not be trusted. To address this limi...

Accurately modeling and predicting wireless channelquality variations is essential for a number of networking applications such as scheduling and improved video streaming over 4G LTE networks and bit rate adaptation for improved performance in WiFi networks. In this paper, we design DeepChannel, an encoder-decoder based sequence-to-sequence deep le...

To address the explosive increase in mobile data traffic in recent years, content caching at storage-enabled network nodes has been proposed. Alongside, a variety of forwarding strategies have been developed for wireless networks that exploit the broadcast nature of the wireless medium and the presence of time-varying fading channels to improve use...

Biological snakes are capable of achieving complex movement patterns and traverse in many environments. Therefore, building snake robots which accurately mimic these movement patterns is a complex task. This paper introduces novel clustering sequence control mechanisms for lateral undulation of a serial snake robot using symmetric and asymmetric se...

Snake robots maneuver in complex environments and exhibit large number of degrees of freedom in movement. Thus incorporating the required locomotion while ensuring simplicity and likelihood to actual serpentine motion is a challenge. The thesis initially provides an in depth analysis of the current extent to which biologically accurate serpentine m...

Snake robots maneuver in complex environments and exhibit large number of degrees of freedom in movement. Thus incorporating the required locomotion while ensuring simplicity and likelihood to actual serpentine motion is a challenge. This paper introduces two novel clustering sequence control mechanisms for both serial and parallel snake robots hav...