Shashi Shekhar
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View article: GIScience in the era of Artificial Intelligence: a research agenda towards Autonomous GIS
GIScience in the era of Artificial Intelligence: a research agenda towards Autonomous GIS Open
The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic knowledge production, driving geographic information systems (G…
View article: Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning
Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning Open
Given inputs of diverse soil characteristics and climate data gathered from various regions, we aimed to build a model to predict accurate land emissions. The problem is important since accurate quantification of the carbon cycle in agroec…
View article: Building Palliative Care Capacity – A Rapid Evaluation of Services in Eleven Hospitals in Northern India
Building Palliative Care Capacity – A Rapid Evaluation of Services in Eleven Hospitals in Northern India Open
In India, there is a wide diversity of palliative care services. Aims and Objectives: This study aimed to evaluate palliative care capacity across eleven northern Indian hospitals whose physicians and nurses had undergone training as part …
View article: Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling Open
Given coarser-resolution projections from global climate models or satellite data, the downscaling problem aims to estimate finer-resolution regional climate data, capturing fine-scale spatial patterns and variability. Downscaling is any m…
View article: Test case prioritization based on fault sensitivity analysis using ranked NSGA-2
Test case prioritization based on fault sensitivity analysis using ranked NSGA-2 Open
This paper discusses regression testing in software maintenance, focusing on test case prioritization to verify modifications to software functionality efficiently. The primary goal is to rank test cases, prioritizing those covering more c…
View article: Fault sensitivity index-based multi-objective testcase prioritization
Fault sensitivity index-based multi-objective testcase prioritization Open
Test case prioritization (TCP) is a regression technique that sequences test cases by assigning priority based on specific criteria defined by software testers. Various parameters, such as code coverage, statement coverage, and method cove…
View article: Physics-Guided Abnormal Trajectory Gap Detection
Physics-Guided Abnormal Trajectory Gap Detection Open
Given trajectories with gaps (i.e., missing data), we investigate algorithms to identify abnormal gaps in trajectories which occur when a given moving object did not report its location, but other moving objects in the same geographic regi…
View article: DIABETES PREDICTION USING MACHINE LEARNING ALGORITHMS
DIABETES PREDICTION USING MACHINE LEARNING ALGORITHMS Open
This work includes machine learning algorithms to predict the diabetes of a person.in this project we have used three algorithms, to find the better algorithm for the diabetes prediction. Here we have used three algorithms named Adaboost, …
View article: A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks Open
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems. Current literature has focused primarily on deep neural network (DNN) based methods for solving a speci…
View article: Ethical and Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences
Ethical and Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences Open
AGU supports 130,000 enthusiasts to experts worldwide in Earth and space sciences.Through broad and inclusive partnerships, AGU aims to advance discovery and solution science that accelerate knowledge and create solutions that are ethical,…
View article: Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation Open
The eco-toll estimation problem quantifies the expected environmental cost (e.g., energy consumption, exhaust emissions) for a vehicle to travel along a path. This problem is important for societal applications such as eco-routing, which a…
View article: A Summary of ICDE 2022 Research Session Panels
A Summary of ICDE 2022 Research Session Panels Open
In the 38th IEEE International Conference on Data Engineering (ICDE), 2022, panel discussions were introduced after paper presentations to facilitate in-depth exploration of research topics and encourage partici- pation. These discussions,…
View article: Towards Carbon-Aware Spatial Computing: Challenges and Opportunities
Towards Carbon-Aware Spatial Computing: Challenges and Opportunities Open
Carbon-aware spatial computing (CASC) is focused on reducing the carbon footprint of spatial computing itself and leveraging spatial computing techniques to minimize carbon emissions in other domains. The significance of CASC lies in its p…
View article: Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain
Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain Open
The Internet of Vehicles (IoV) is a new paradigm for vehicular networks. Using diverse access methods, IoV enables vehicles to connect with their surroundings. However, without data security, IoV settings might be hazardous. Because of the…
View article: Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach Open
Given aggregated mobile device data, the goal is to understand the impact of COVID-19 policy interventions on mobility. This problem is vital due to important societal use cases, such as safely reopening the economy. Challenges include und…
View article: Robustness of sequential third-order response surface design to missing observations
Robustness of sequential third-order response surface design to missing observations Open
Response surface designs are generally used in process/product optimization studies. Sequential third-order response surface designs are advantageous when the experimenter encounters the significance of lack of fit of a fitted second-order…
View article: Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach Open
Given aggregated mobile device data, the goal is to understand the impact of COVID-19 policy interventions on mobility. This problem is vital due to important societal use cases, such as safely reopening the economy. Challenges include und…
View article: Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results Open
Given Spatial Variability Aware Neural Networks (SVANNs), the goal is to investigate mathematical (or computational) models for comparative physical interpretation towards their transparency (e.g., simulatibility, decomposability and algor…
View article: Towards Comparative Physical Interpretation of Spatial Variability Aware\n Neural Networks: A Summary of Results
Towards Comparative Physical Interpretation of Spatial Variability Aware\n Neural Networks: A Summary of Results Open
Given Spatial Variability Aware Neural Networks (SVANNs), the goal is to\ninvestigate mathematical (or computational) models for comparative physical\ninterpretation towards their transparency (e.g., simulatibility,\ndecomposability and al…
View article: Micronutrient and Redox Homeostasis Contribute to Moringa Oleifera-regulated Drought Tolerance in Wheat
Micronutrient and Redox Homeostasis Contribute to Moringa Oleifera-regulated Drought Tolerance in Wheat Open
Global food security is being severely affected by rapid increase in population and drastic climate change. With the changing climate, drought stress has become the most important limiting factor for sustainable production of several impor…
View article: Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results Open
Given an on-board diagnostics (OBD) dataset and a physics-based emissions prediction model, this paper aims to develop an accurate and computational-efficient AI (Artificial Intelligence) method that predicts vehicle emissions. The problem…
View article: Minimally Changed Run Sequence for Third Order Response Surface Design
Minimally Changed Run Sequence for Third Order Response Surface Design Open
Randomization of run sequence is commonly employed in experimentation to avoid bias in
\nthe response. Since the randomization of run sequences may induce frequent changes in the
\nfactor levels which makes it difficult or expensive for th…
View article: Sequential asymmetric third order rotatable designs (SATORDs)
Sequential asymmetric third order rotatable designs (SATORDs) Open
Rotatable designs that are available for process/ product optimization trials are mostly symmetric in nature. In many practical situations, response surface designs (RSDs) with mixed factor (unequal) levels are more suitable as these desig…
View article: Significant lagrangian linear hotspot discovery
Significant lagrangian linear hotspot discovery Open
Given a collection of multi-attribute trajectories, an event definition, and a spatial network, the Significant Lagrangian Linear Hotspot Discovery (SLLHD) problem finds the paths where records in the trajectories tend to be events in the …
View article: Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data
Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data Open
Given a spatial graph, an origin and a destination, and on-board diagnostics (OBD) data, the energy-efficient path selection problem aims to find the path with the least expected energy consumption (EEC). Two main objectives of smart citie…
View article: Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles Open
Adversarial examples are firstly investigated in the area of computer vision: by adding some carefully designed ''noise'' to the original input image, the perturbed image that cannot be distinguished from the original one by human, can foo…
View article: A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles
A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles Open
Increasing the fuel economy of hybrid electric vehicles (HEVs) and extended range electric vehicles (EREVs) through optimization-based energy management strategies (EMS) has been an active research area in transportation. However, it is di…
View article: Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results
Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results Open
Given trajectory data with gaps, we investigate methods to identify possible rendezvous regions. Societal applications include improving maritime safety and regulations. The challenges come from two aspects. If trajectory data are not avai…