Sugam Sharma

Sugam Sharma
Iowa State University | eFeed-Hungers.com (Founder/CEO) | eLegalls (Founder/CTO)

MCLE (Future Law, Stanford Law School, USA), Executive Education (Legal Tech Essentials, Bucerius Law School, Germany), PhD(Comp Science, Iowa State University, USA), MS(Comp Science, Jackson State University, USA), BE(Comp Science, Roorkee, India)

About

66
Publications
11,148
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550
Citations

Publications

Publications (66)
Article
Today, a paradigm shift is being observed in science, where the focus is gradually shifting away from operation to data, which is greatly influencing the decision making also. The data is being inundated proactively from several sources in various forms; especially social media and in modern data science vocabulary is being recognized as Big Data....
Article
Full-text available
In a big data model (or database as interchangeably called), the data analysis can be eased out by extracting a smaller set of the data of interest, called subset, from the mammoth original dataset. Thus, a subset helps enhance the performance of a system by avoiding the unwanted iterations through the huge parent data in further analysis. In this...
Preprint
Full-text available
Legal predictive models are of enormous interest and value to legal community. The stakeholders, specially, the judges and attorneys can take the best advantages of these models to predict the case outcomes to further augment their future course of actions, for example speeding up the decision making, support the arguments, strengthening the defens...
Article
The research footprint of Information Technology (IT) in a legal system has not grown with the same pace as it has penetrated other domains. More specifically, in developing countries such as India, where the digitalization revolution is underway, the growth of legal informatics (LI) is still premature and very limited traces of IT can be observed...
Article
Full-text available
Hunger is a global crisis and impacting the world for a very long time. Significant efforts have been made in the past by various organizations employing various means to address this persisting problem. Despite this, it still remains far from being resolved. Recently, the United Nations has published a report on global hunger, which claims that th...
Article
In order to deduce more appropriate and useful recommendation, it is imperative to amalgamate additional information such as the features of the user and the item along with the usual user-item correlation based on rating. In this research, a content-based recommender system, MATURE is further developed, which relies on the additional information r...
Article
Full-text available
This paper introduces the electromagnetic clustering algorithm (ELMC), an enhanced variant of electromagnetic field optimization (EFO), for clustering. The motivation behind ELMC is to overcome the shortcomings of traditional k‐means clustering algorithm. The performance of k‐means primarily depends upon the initial choice of centroids, which can l...
Article
In this paper, we further strengthen our eFeed-Hungers research efforts in fighting the hunger using the advanced computer technologies. According to the United Nations hunger reports, the amount of the globally produced food is adequate enough to serve the whole world of about 7.5 billion people. Despite this, the world is globally experiencing th...
Article
Full-text available
In the last couple of years, the Legal Informatics area has slowly begun to develop as Artificial Intelligence and its allied techniques and technologies expand their footprints in the field of Law. The legal, computational, and data science communities are collaborating to build the computational and data-driven innovative legal models to improve...
Preprint
Full-text available
Legal predictive models are of enormous interest and value to legal community. The stakeholders, specially, the judges and attorneys can take the best advantages of these models to predict the case outcomes to further augment their future course of actions, for example speeding up the decision making, support the arguments, strengthening the defens...
Article
Full-text available
Today, legal informatics (LI) is rapidly emerging as a new research area at the juncture of computer science (CS), information technology (IT) and law. More recently, it has drawn the attention of the computational and legal communities with the intent and goal to improve and advance the existing jurisprudence/legal procedure/legal justice system/c...
Article
Legal predictive models are of enormous interest and value to legal community. The stakeholders, specially, the judges and attorneys can take the best advantages of these models to predict the case outcomes to further augment their future course of actions, for example speeding up the decision making, support the arguments, strengthening the defens...
Conference Paper
Full-text available
Blockchain are one of the technologies of 4.0 era that are disrupting business models leading them from process-driven models to technology-driven models. The Blockchain are contributing to increasing security, trustiness, transparency, transparency, and a set of other features. The present paper addresses a research investigation to explore the im...
Poster
Dear Valued Researcher Greetings from Amity University & Team ICRITO! You all are cordially invited to submit your technical papers to the upcoming special session, IEEE conference, ICRITO 2020 organized by Amity University, Noida, India. Please select " DATA-SENCES" as Topic and notify on Email Id mentioned in the template also. High quality p...
Poster
Dear Friend, Greetings of the Day!!!!!!!!! You all are cordially invited to submit your technical papers to the upcoming special session, IEEE conference, ICRITO 2020 organized by Amity University, Noida, India. Please select " DATA-SENCES" as Topic and notify on Email Id mentioned on the template also.🙂 URL for the special session is listed bel...
Poster
Dear Friend, Greetings of the Day!!!!!!!!! You all are cordially invited to submit your technical papers to the upcoming special session, IEEE conference, ICRITO 2020 organized by Amity University, Noida, India. Please select " DATA-SENCES" as Topic and notify on Email Id mentioned in the template also.🙂 High quality papers from DATA-SENCES will...
Article
With the growing age, the older adults experience gradual health, physical as well cognitive, declining. Oftentimes, the degree of developed health concerns is severe enough for the inevitable need of most likely a permanent caregiver or resource-rich but overly expensive assisted or nursing facility. The increasingly technical richness of the scie...
Article
Full-text available
The emerging services and analytics advocate the service delivery in a polymorphic view that successfully serves a variety of audience. The amalgamation of numerous modern technologies such as cloud computing, Internet of Things (IoT) and Big Data is the potential support behind the emerging services Systems. Today, IoT, also dubbed as ubiquitous s...
Article
Full-text available
Today, most real-world applications are dealing with some form of dimensional data. In recent years, the large, heterogeneous, and multidimensional data have gained significant attention. The complex multidimensional data are being generated at a very rapid pace through various disparate potential resources and sensors, scientific instruments, and...
Article
Full-text available
https://doi.org/10.1016/j.resconrec.2017.12.025
Chapter
Association rule of data mining is known to encompass a wide set of intelligent techniques that intent to unveil and analyze correlations and associations between items in a set. Market basket analysis is one such, possibly the most popular technique in business domain that is used to analyze combinations of items that often are listed together in...
Article
Full-text available
In recent years, large amounts of multidimensional data are being generated at a rapid pace, creating the need to: develop appropriate tools for visual data analytics and for enhancing accessibility and discoverability of the data; and new algorithms and methods for seamless integration, manipulation and interactive visualization of data. We descri...
Article
Full-text available
The recommender system (RS) has achieved substantial evolution in this information age of the twenty-first century, with no exception to biological domain. While RS has been effectively exploited in analysis of biological data for gene prediction, it has raised interesting research challenges such as how to explore the gene interest (Gi) and recomm...
Article
The recommender system (RS) has achieved substantial evolution in this information age of the twenty-first century, with no exception to biological domain. While RS has been effectively exploited in analysis of biological data for gene prediction, it has raised interesting research challenges such as how to explore the gene interest (Gi) and recomm...
Research
The growing popularity and increasing usage of Internet of Things (IoT) have raised deep concerns regarding the IoT data. IoT is also being characterized as ubiquitous sensing, where the data is continuously generated, especially from sensing systems, which eventually becomes voluminous. Therefore, IoT data also falls within the ambit of Big Data (...
Article
Full-text available
The association rule of data mining is known to encompass a wide set of intelligent techniques that intent to unveil and analyze the correlations and associations between items in a set. The market basket analysis is one such, possibly the most popular technique in business domain that is used to analyze the combinations of items that often are lis...
Conference Paper
The scientific and industrial community increased their attention on wireless sensor networks (WSNs) during the past few years. WSNs are used in various critical applications like disaster relief management, combat field reconnaissance, border protection, and security observation. In such applications a huge number of sensors are remotely deployed...
Article
Full-text available
Today, in data science, the term Big Data has attracted a large set of audience from various diversified research and industries, who sniff the potential of Big Data in solving the complex problems. In this age, the decision making processes are largely data dependent. Though, the concept of Big Data is in the midst of the evolution with great rese...
Article
Full-text available
The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example o...
Article
Full-text available
Today, in data science, the term Big Data has attracted a large set of audience from various diversified directly or distantly related domains, in research and industry both, who sniff the potential of Big Data in solving the large and complex problems. In this data science age, the decision making processes are largely data dependent. Though, the...
Article
Today, a paradigm shift is being observed in science, where the focus is gradually shifting away from operation to data, which is greatly influencing the decision making also. The data is being inundated proactively from several sources in various forms; especially social media and in modern data science vocabulary is being recognized as Big Data....
Article
Full-text available
Today, a paradigm shift is being observed in science, where the focus is gradually shifting toward the cloud environments to obtain appropriate, robust and affordable services to deal with Big Data challenges (Sharma et al. 2014, 2015a, 2015b). Cloud computing avoids any need to locally maintain the overly scaled computing infrastructure that inclu...
Article
Full-text available
Today, in data science, the large, complex, structured or unstructured, and heterogeneous data has gained significant attention. The data is being generated at a very rapid pace through various disparate potential resources and sensors, scientific instruments, and internet, especially the social media, are just to name a few. The considerable veloc...
Article
Full-text available
Today, science is passing through an era of transformation, where the inundation of data, dubbed data deluge is influencing the decision making process. The science is driven by the data and is being termed as data science. In this internet age, the volume of the data as grown up to petabytes, and this large, complex, structured or unstructured, an...
Article
Full-text available
Recently, much discussion has centred on disproportionate dependence of certain racial groups on SNAP programme. This racial overture is sparked by comments made during the Fox News-Wall Street Journal Republican Presidential debate by Newt Gingrich, former Speaker of the House, who asserted that President Obama is a 'food stamp president'. This st...
Article
Full-text available
In large spatial, temporal, and spatio-temporal databases, the concept of dimensions – time and space – is central and their efficient processing has always been a great concern. A Geographic Information System (GIS) is widely known for its efficient and sophisticated handling of the spatial databases; however, integration of the time domain introd...
Article
Full-text available
In recent years, large multifaceted spatial, temporal, and spatio-temporal databases have attained significant popularity and importance in the database community. In order to perform preliminary investigation, exploratory visual analysis of such data-sets is highly desirable. To facilitate the convenient and efficient visualization, scientists and...
Article
Full-text available
The product line engineering (PLE) has proven to be the paradigm for developing diversified products and systems in shorter time, at lower cost, and higher quality. Ultimately the goal of PLE is to evolve a set of products that have both commonality and variations built into them, which allows a high degree of variability between the different prod...
Article
Full-text available
Now a day’s distributed computing has become a common phenomenon. As the system designed from the bottom up with networking in mind, distributed computing makes it very easy for computers to cooperate and today, scientific world is nourishing the benefits provided by distributing computing under the broad umbrella of client server architecture. Inf...
Conference Paper
Full-text available
U. S. Department of Agriculture (USDA) administers SNAP - to assist low income citizens at the federal level, delegating the benefits distribution to the states. To avail the SNAP benefits the target population should be 50% or more low income (185% of federal poverty level) defined. This work is intended to examine the spatial pattern of eligibili...
Conference Paper
Full-text available
Currently smart home are created and deployed on each user’s specifications, which guarantees their complete satisfaction, but incurs a very high deployment cost and non-usable resources. Techniques from product line engineering provide a framework to promote resource reusability by identifying reusable common features. They help to reduce the cost...
Article
The web creates new challenges for information retrieval as the amount of information on the web is growing rapidly. One of the challenges is to crawl the information hidden behind a search form, as a tremendous amount of high quality content is hidden behind the search forms. This high quality information can be retrieved by hidden web crawler usi...
Article
Full-text available
The web creates new challenges for information retrieval as the amount of information on the web is growing rapidly. One of the challenges is to crawl the information hidden behind a search form, as a tremendous amount of high quality content is hidden behind the search forms. This high quality information can be retrieved by hidden web crawler usi...
Conference Paper
Full-text available
NC94 dataset is an agricultural dataset which consists of climate, crop, and soil data and is considered as a completely dataset available. The data is organized based on county and is treated as an object. It is adapted in interdisciplinary research and widely used in various research domains and once again has been exploited in our parametric da...
Article
Full-text available
Perl Status Reporter (SRr) [1] is a data mining tool and in this research work we illustrate the use of SRr on spatio-temporal database. Spatio–temporal data are associated with time and space and used vastly in different applications of diversified areas such as geography, geology, city planning, agriculture, environmental study, traffic navigatio...
Article
Full-text available
We illustrate the effectiveness of using mobile sinks to obtain potential energy savings for the sensors during data dissemination in wireless sensor networks. The entire wireless sensor network is divided into two layers: the resource-constrained sensor nodes forming the bottom layer and a mobile ad hoc network of resource-rich sink nodes forming...
Article
Full-text available
NC94 is a spatiotemporal (agricultural) dataset of North Central Region in USA and vastly used in variousresearch domains. In this research work we exploit XML on NC94 dataset to assess the impact of extremetemperatures in Iowa. The variation in climate is one of the factors that affect human life. The results of thisresearch help to identify the c...
Conference Paper
Full-text available
State of Iowa is an agricultural rich state in north central region and is divided into 99 counties. NCRA in the United States maintains agricultural databases to facilitate crop and risk analysis, pest management and forecasting. NC94 is one such dataset which is intensively used and is available for public use through many sources to process and...
Conference Paper
Full-text available
State of Iowa, in the North Central region of United State of America is an agricultural rich state. It is also known as the "Food Capital of the World". NC-94 is an agricultural database of north central region in United States that facilitates crop and risk analysis, pest management and forecasting and used intensively. It is available for public...
Conference Paper
Full-text available
ATIM (Ad hoc traffic Indication Message) window can be used effectively to enhance the potential energy savings at static sensors nodes during data dissemination in wireless sensor networks. Doze and awake are two states a sensor node may be in during ATIM window. We consider a traditional wireless sensor network system consisting of resource-rich...
Conference Paper
Full-text available
We propose a four-layer architecture model (FLAM) to obtain the potential energy savings for sensor nodes in large scale wireless sensor networks. The very first layer, the bottom layer is a network of a resource-constrained sensor nodes deployed in the field. The second layer is ad hoc network formed by resource-rich dynamic sink nodes, also knows...
Article
Full-text available
In Bioinformatics, text mining and text data mining sometimes interchangeably used is a process to derive high-quality information from text. Perl Status Reporter (SRr) [1] is a data fetching tool from a flat text file and in this research paper we illustrate the use of SRr in text/data mining. SRr needs a flat text input file where the mining proc...
Conference Paper
Full-text available
We propose a three-layer architecture model (TLAM) for wireless sensor networks. The first layer (bottom layer) consists of a network of resource-constrained sensor nodes deployed in the field. The second layer contains a set of resource-rich dynamic sink nodes forming an ad hoc network. The sinks at layer second are responsible to monitor and coll...
Article
Full-text available
Computer System Administration and Network Administration are few such areas where Practical Extraction Reporting Language (Perl) has robust utilization these days apart from Bioinformatics. The key role of a System/Network Administrator is to monitor log files. Log file are updated every day. To scan the summary of large log files and to quickly d...
Conference Paper
Full-text available
We illustrate the effective use of ATIM (ad hoc traffic indication message) window in static sensors to obtain potential energy savings for sensors during data dissemination in wireless sensor networks. The network consists of resource-rich mobile sink node and resource-constrained sensor nodes forming a square grid. Sink may be multihop away from...
Article
Full-text available
PubMed is the suitable database for all Computational Biologists /Bioinformatics researchers to search the required data efficiently. Extraction of the data from the PubMed needs suitable input to search and careful selection the back end. A naïve user needs a good exercise before handling the PubMed database actually such as where and what input s...

Questions

Questions (5)
Question
Special Issue "Big Data Analytics and Data-Driven Science"
Guest Editors 
Dr. Sugam Sharma
Iowa State University, USA
Dr. Pouria Amirian
University of Oxford, UK
Question
International Journal of Spatio-Temporal Data Science, Inderscience
  • NoSQL solutions
  • Scalable geospatial analytics for satellite and aerial imagery
  • Rich and interactive visual and media analytics
  • Query advancements
  • Cloud computing support
  • As-a-Service cloud evolution
  • Geomatics, spatial analysis and decision aids
Editor in Chief: Dr. Sugam Sharma
Question
Special Issue on: “Advances in Supercomputing for Big Data Analytics”
Journal of Supercomputing, Springer
Guest Editors: 
  • Dr Robert Hsu, Chung Hua University, Taiwan
  • Dr. Geoffrey Fox, Indiana University, USA
  • Dr. Sugam Sharma, Iowa State University, USA
  • Dr. Geyong Min, Exeter University, UK
Question
Special Issue on: “Big (Spatio-Temporal) Data-Driven Science”
Int. J. of Spatial, Temporal and Multimedia Information Systems
Guest Editor: Dr. Sugam Sharma, Iowa State University, USA
Question
Special Issue on: “Big (Spatio-Temporal) Data-Driven Science”
International Journal of Data Science, Inderscience
Guest Editor: Dr. Sugam Sharma, Iowa State University, USA

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Projects

Projects (5)
Project
The evolution of Computer Science (CS) and Information Technology (IT) has helped to advance several other fields, and lately, it has begun to expand into the domain of Law as well, where their blending and cohesiveness is being dubbed Legal Informatics (LI). Currently, LI is rapidly emerging as a new, interesting research area at the confluence of CS, IT, and Law. More recently, LI has drawn attention from the computational and legal communities because of the growing popularity, increasing acceptability, broadening usage, and extensive benefits of Artificial Intelligence (AI) and its allied techniques and technologies, such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The goal is to apply and utilize these modern computational technologies—AI, ML, DL, NLP—to advance and improve the existing jurisprudence/legal procedure/legal justice system/civil justice system. More and more legal scholars and practitioners and computer and data scientists and engineers are teaming up to combine their expertise and knowledge to transform the existing jurisprudence into a smart and intelligent justice system, which is faster, fair, and economically feasible for every last person of marginalized and underprivileged societies, “the poor”. This Special Issue (SI) invites original, unpublished scholarly work related to information technology applied in emerging legal informatics and other areas. Dr. Sugam Sharma, Iowa State University, and eFeed-Hungers.com, USA Dr. Richard Lomotey, Pennsylvania State University, USA https://www.mdpi.com/journal/information/special_issues/Legal_Info
Project
Journal is looking for some high quality papers: IJECSA provides a comprehensive and global forum for scientific discourse on advances in the development and application of innovative computing technologies for effectively addressing the challenges of sustainable agriculture. Science, technology and innovation in areas such as cloud computing, cyber-physical systems, robotics, drones, geospatial and imaging sciences and big data are helping agriculture to achieve its goal of meeting global food, fibre and feed needs in the present, without compromising the ability of future generations to meet their own needs.
Project
Journal is looking for some high quality research papers in data: The rapid pace of data growth through proliferating, disparate location-sensing sources has given rise to a paradigm shift in how new age spatio-temporal (big) data is processed. Confidence in existing/traditional data engineering capabilities is gradually fading, triggering an urgent need for the next generation data management and analytical frameworks to deal with scalable spatio-temporal big data. IJSTDS addresses the issues/challenges increasingly posed by overly complex and geographically distributed spatio-temporal data, a rapidly growing area in the realm of big data. https://www.inderscience.com/jhome.php?jcode=ijstds