About
43
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Introduction
Neel is an associate professor, at the Centre for Artificial Intelligence and Research (CAIR) at the Dev Sanskriti Vishwavidyalaya. He does research in I Artificial Intelligence, Machine Learning, and information Systems (Business Informatics), Software Engineering. Their current project is 'Computer Science'.
Current institution
Additional affiliations
September 2018 - present
February 2018 - August 2018
August 2013 - February 2018
Education
June 2009 - July 2012
June 2005 - July 2008
June 2005 - July 2007
Publications
Publications (43)
Often the textual data are either disorganized or misinterpreted because of unstructured Big Data in multiple dimensions. Managing readable textual alphanumeric data and its analytics is challenging. In spatial dimensions, the facts can be ambiguous and inconsistent, posing interpretation and new knowledge discovery challenges. The information can...
Recent trends suggest the Big Data paradigm has received considerable attention in many complex domain applications. The complexity grows based on diverse contexts, domains, systems and associated data sources and structures. The heterogeneity and multidimensionality are added challenges of complex systems, making the environmental data organizatio...
The major environmental threats are climate change and global warming, affecting various ecologies, including human ecosystems. Other challenges include rapid urbanisation, population explosion, and massive migration from rural to urban areas. Earth's morphology dramatically changes because of rapid deforestation, terrestrial ecosystem loss and lan...
In oil and gas industries, operational digital solutions are challenging because of spatially extended large-size installations and the criticality of implementation solutions in business contexts, where rising global demand for energy needs is stirring. Other challenges include using obsolete tools and technology, time-consuming digital makeovers,...
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources in these industries are spatial-temporal, with petabytes in size. Managing volumes and various data...
Heterogeneity and multidimensionality are significant challenges of petroleum data management, precluding the data integration process. Data integration is crucial in the upstream digital petroleum ecosystem development process that unifies multiple domains and systems. To sustain the process, we adopt various Information System (IS) artefacts that...
The research aims to assess the sustainment between multiple domains and ecosystems with viable and adaptable models. We propose an Information System (IS) modelling approach and examine the sustenance between ecosystems through connectable multidimensional IS artefacts. For example, humans survive in healthy and hassle-free environments for long-t...
The research emerges with new insights of Information System (IS) articulations and pathways of connecting human-anatomy, physiology, psychology, and human-behaviour ecological entities and their attributes. The connectivity is the basis for examining various mental disorders and their discernment in digital representations. Several types of mental...
Large size logistics and supply chains can exhibit data heterogeneity and multidimensionality challenges complicating the Information System (IS) construct design, model development, even precluding the data integration process. IS designs and models may be ambiguous during implementation of supply chain business management scenarios, affecting the...
Human abnormal thoughts, perceptions, emotions, and behavioural patterns have exhibited a variety of mental health disorders, but deteriorated their traits in pandemic times with severe illnesses. Falling human physiological and psychological functions have incapacitated mental stamina with questionable human survival in an environment, where pande...
Data heterogeneity and multidimensionality are added challenges of upstream business research that can preclude the data integration process in diverse domains. The research purpose was to build data constructs and models that can articulate a unified approach and address the challenges of the data integration processes. Multidimensional data wareh...
The role of governance is undervalued in e-business information system design and development. The transparency, integrity and ethical values are disregarded while articulating e-business artefacts in different organisations. E-Governance can affect e-business growth, including motivations for technology development, compromising the product and se...
Data sources associated with Eating Disorder (ED) events are heterogeneous, and they intensely influence the lives of millions of teenagers. The EDs can lead to obesity or vice versa and succumb to various linked chronic illnesses. We examine the existing research on Eating Disorder Inventory (EDI) to explore connectivity between multiple domains o...
The World Wide Web (WWW) unfolds with diverse domains and associated data sources, complicating the network data science. In addition, heterogeneity and multidimensionality can make data management, documentation, and even integration more challenging. The WWW emerges as a complex digital ecosystem on a Big Data scale, and we conceptualize the web...
IT Storage, integration and interoperability are critical challenges in the unconventional exploration data management. With a quest to explore unconventional hydrocarbons, in particular, shale gas from fractured-shales, we aim at investigating new petroleum data geo-science approaches. The data geo-science describes the integration of geoscience-d...
The North West Shelf (NWS) interpreted as a Total Petroleum System (TPS), is Super Westralian Basin with active onshore and offshore basins through which shelf,-slope and deep-oceanic geological events are construed. In addition to their data associativity, TPS emerges with geographic connectivity through phenomena of digital petroleum ecosystem. T...
Background: In shale basins, petroleum systems are complex; they hold data sources in Big Data scales. The motivation of research lies with the facts of exploring effective inherent connectivity between unconventional petroleum systems. The connectivity between energy reservoir systems is ambiguous within a distinctive petroleum ecosystem. Heteroge...
The embeddedness of ecosystems interpreted as the connectivity between data sources has been the research focus of ecosystem service providers. Heterogeneity of data sources, linked with embedded systems, is challenging in the ecosystem integration process. Big data is an added motivation in the ecosystem integration process. The purpose of the res...
Information Systems are in growing demand in various business and government organizations. Despite increased competition, business growth and technology innovation, at times, we overlook the governance, transparency, integrity and business ethics, with the result, the quality of deliverable products and services is compromised. Several external fa...
We identify various sports-related challenges pertinent to teams, player selections, and event management. We examine both technical and managerial decisions made during player promotion, and various factors influenced the matches. We conceptualize that the game strategies, player and team selections, performance-based sports ecology management ent...
The research is aimed at investigating knowledge-based social informatics solutions. Socioeconomic development relies on technology use in education and employment sectors. To explore such challenges, we examine the existing indicators of socioeconomic development, such as gender equalities, employment, and education and population growth attribute...
Fog Computing is a new computing paradigm which is grown ever since it is being used. It is aimed at bringing the computations close to data sources from healthcare centers. IoT driven Fog Computing is developed in the healthcare industry that can expedite facilities and services among the mass population and help in saving billions of lives. The n...
From a digital ecosystem perspective, sustainability is a manifestation of a composite entity with multiple data attribute dimensions. The data relationships may emerge between geographically distributed supply chain management ecosystems and their linked human, economic and environment ecologies. The ecosystems may exhibit inherent connections and...
Agriculture industries and their business ecosystems experience data and information overload because of complex network or interconnected domains linked to a variety of agro-based systems. Data search becomes tedious when specific queries are made to support crucial technical and financial decisions by agroecosystem service providers. Due to accum...
The images enhanced in different viewpoints can be registered and fused within surveillance systems. Most of the existing systems are not capable of providing a real-time image fusion. This paper embodies the design and application development of a real-time vision enhancement system using real-time image fusion. In feature-based image registration...
Cancer is a deadly complex disease. Poorly aligned institutions, their data sources, and doctor-patient disengagement motivate us, strengthening collaborative cancer research. The research explores informatics solutions, by collating various cancer-linked data attributes and interconnecting them with spatial-temporal dimensions. The study is aimed...
The unconventional digital petroleum ecosystems are associated with fractured reservoirs that are usually unpredictable, but can produce for longer periods depending on size of petroleum systems and basins. Currently, conventional reservoirs do produce oil & gas even without integrated workflows and solutions. The heterogeneity and multidimensional...
The research is aimed at investigating gender equality that affects the social and economic development in African countries. The existing data sources are examined based on the research question: “What is the role of female education and workforce on the social and economic development in African contexts, especially in East Africa?” To explore th...
The challenges faced by domain experts, commitments made to domain-specific rule (DSR) languages and process design are described. We investigate the business application developments and existing challenges of evaluation strategies of DSR articulations. Often, multiple domain scenarios pose end-user predicaments complicating the computational abil...
The business environment is rapidly undergoing changes, and they need a prompt adaptation to the enterprise business systems. The process models have abstract behaviors that can apply to diverse conditions. For allowing to reuse a single process model, the configuration and customisation features can support the design improvisation. However, most...
The business environment is rapidly undergoing changes, and they need a prompt adaptation to the enterprise business systems. The process models have abstract behaviours that can apply to diverse conditions. For allowing to reuse a single-process model, the configuration and customization features can support the design improvisation. However, most...
The business environment changes rapidly and needs to adapt to the enterprise business systems must be considered for new types of requirements to accept changes in the business strategies and processes. This raises new challenges that the traditional development approaches cannot always provide a complete solution in an efficient way. However, mos...
The domain-specific model-driven development requires effective and flexible techniques for implementing domain-specific rule generators. In this paper, we present a framework for rule generation through model
translation with feature model, a high-level of the domain model to translate into low-level of rule language
based on the paradigm of sof...
Business process models are abstract descriptions and as such should be applicable in different situations. In order for a single process model to be reused, we need support for configuration and customisation. Often, process objects and activities are domain-specific. We use this observation and allow domain models to drive the customisation. Proc...
Business process models are abstract descriptions and as such should be applicable in different situations. In order for a single process model to be reused, we need support for configuration and customisation. Often, process objects and activities are domain-specific. We use this observation and allow domain models to drive the customisation. Proc...
Business process models are abstract descriptions that are applicable in different situations. To allow a single process model to be reused, configuration and customisation features can help. Variability models, known from product line modelling and manufacturing, can control this customisation. While activities and objects have already been subjec...
Big Data is still in its initial stages and has prompted various basic issues and difficulties to rise, for example, the pace of exchange, information development, and assorted qualities of information and security issues. For example, overseeing and abusing immense measures of information make it more valuable and important has turned into a test...
Technology-enhanced learning content processes consist of individual activities related to the creation, composition, consumption and analysis of content facilitated through services. These service processes are often enacted across different boundaries such as organisations, countries or even languages. Specifically, looking at the quality of lear...
Service processes are often enacted across different boundaries such as organisations, countries or even languages. Specifically, looking at the quality and governance of data or content processed by services in this context is important to control different constraints in this cross-boundary processing. In order to provide a context-aware solution...
The aim of this paper is to address one aspect of this challenge – how do we build affordable communication networks in developing regions by adapting technologies originally designed for the industrialized world to be appropriate and sustainable in the developing world environments It is in this context that the role of information and communicati...
Ad-hoc Networks have been proposed for a variety of applications where support for real time, multimedia services may be necessary. In order to operate ad hoc networks several protocols, for media access control, power control, routing, and transport are needed. We take a holistic approach to the problems in ad hoc networks. We start by postulating...
