Dr. Sanyasi Naidu Dadi (Dadi) is a multidisciplinary lead developer in the field of information technology with a research focus on geoengineering. With over 20 years of experience implementation, including system design, application development, analysis, software applications. Dr. Sanyasi  Naidu Dadi is a wealth of knowledge that he now uses to expand the collective knowledge of IT and its many applications. Dr. Sanyasi Naidu Dadi has also done outstanding research in Geo-Engineering and Information Technology, publishing numerous articles in the world's top Geographic Information System and Information System journals such as Springer. He served as a reviewer for Elsevier journals such as Egyptian Journal of Aquatic Research and Journal of Hydrology: Regional Studies.

Dr. Dadi's roles have spanned a variety of businesses and business types over the years, including players in technology, insurance, human resources, logistics, and more. In the early 2000, he began his career as a software developer, using his strong knowledge of multiple computer programming languages to inspire users with new tools and abilities. After a few years, he moved into roles centered on full stack developer management and optimization. Dr. Dadi has risen through the ranks in recent years. Dadi has expertise in multiple programming languages.

Throughout his career, Dr. Dadi has been trusted to develop, implement, and optimize complex technology solutions for a wide range of stakeholders, including end users, C-Suite executives, and fellow IT professionals. Among his many projects and successes are the creation of hybrid cloud environments, the development of applications using Microsoft Dot Net Framework with CI/CD systems, the automation of Cloud Infrastructure deployment, and the creation of centralized log management for multiple applications and database servers.

Dr. Dadi's contributions to the IT field as a Research Scholar continue to grow today, with publications in international journals aimed at technical audiences. He also writes popular articles for professional development platforms. Dr. Dadi's articles have gained traction with audiences in the tech space and beyond due to a unique combination of deep industry knowledge and the ability to make information accessible to the average reader. Dr. Sanyasi Naidu Dadi holds a doctorate from the Geo-Engineering Department of Andhra University in India, as well as a Master of Applications (M.C.A) from Osmania University in India and a Master of Science (MS) in Computer Science from the University of North America in Fairfax, VA, USA. Dr. Dadi received a NESA ENVIRONMENTALIST OF THE YEAR AWARD 2021 in addition to his formal education (List).

Dr. Dadi hopes to continue pushing the boundaries of IT and computer science in the coming years. He enjoys the opportunity to share his findings with colleagues, tech enthusiasts, and anyone else who may benefit from his research and help to expand the potential of IT work.
BI: Hi Dr. Dadi, how are you today?
I am good, How About you.

BI: Who are you and what do you do?
With over 20 years of experience in both information technology and research, I am a multidisciplinary lead developer in the Information Technology with geo-engineering field.

BI: What is your research?
Groundwater is a most important resource for farming agricultural, irrigation, manufacturing processes, quarrying, mining, and drinking water. The United States Geological Survey (USGS) reports that 30.1% of the earth's fresh water consists of groundwater, while 1.2% consists of surface water in lakes, rivers, and streams (Gleick, 1993). Although fresh groundwater is ample, using this resource in a responsible and sustainable manner poses a significant challenge.

BI: What is the management of groundwater?
The ability to perfectly distinguish the varying state of an aquifer over time is a major issue and important question for ecological groundwater management. Correct classification allows for the implementation of ecological methods and guidelines. Even though fresh groundwater is frequently abundant and widely used, it is difficult and expensive to accurately measure and compare to surface water resources. The state of surface water resources is easily visible to the naked eye, viewable from satellites, and easily calculated. This is not true of groundwater. which typically entails boring a series of examining wells to locate the phreatic surface and characterize aquifer properties While surface storage in a waterbody reaches roughly the same elevation throughout, groundwater surface elevations can vary significantly across an aquifer depending on overlying land use, irrigation well pumping, aquifer recharge, and other factors. A variety of lithological, climatic, geographic, and anthropological factors influence groundwater levels. Because of these factors, quantifying and mapping aquifer water levels and storage volume changes is difficult.

BI: What is the scope of your  A Novel Approach for Cloud based Scalable Architecture to Spatial Hydro Data Analysis with Governing cyber security ?
Hydro Spatial Analysis Information System (HAIS) model has also been used to estimate the quantity of groundwater resources according to GEC Norms-1997. HAIS makes water-quantity analysis simple to understand. The two elements that make up this software are the processing unit and the user interface with cyber security feature.

BI: It is an Open-source web-based assessment tool. 
The open-source Groundwater Level Mapping Tool enables water managers and other decision-makers to compute and visualize trends in aquifer storage level changes quickly and easily. created the application to generate maps and animations of groundwater levels and drawdown that can be used to inform decision makers, allowing them to identify areas of concern and develop groundwater management plans to ensure the long-term sustainability of aquifers. The application is useful for estimating aquifer storage change over time, which is typically a tedious and time-consuming task.

BI: Is this Ground-Water Observing tool?
The objective of this work was to build a procedure to enhance the correctness of groundwater level mapping using a simple, low-cost approach. Our procedure makes it potential to produce chronological and current water level maps where multi-linear regression manipulate relationships between wells in an aquifer to assert water levels during periods where volumes are sparse. Shown that the technique is superior to simpler forms of imputation and is generally superior to spatial Kriging.

BI: Is underground water level inspection Tool?
The most accurate way to determine the depth of the water table at any given moment is to use a tape measure to gauge the water level in a shallow well. If no wells are accessible, surface geophysical techniques may occasionally be utilized, depending on how easily electric or acoustic probes may be positioned on the surface. A submersible pressure transmitter is primarily used to measure groundwater levels. These small-diameter hydrostatic level transmitters are suspended directly into the well, borehole, deep bore well, or monitoring well by their cable.

BI: HAIS Tool is a web application or Mobile Application? How easy to use for end user?
By utilizing both temporal and spatial interpolation, created an open-source Python-based online application that enables the viewing and quantification of groundwater resources. Construct groundwater level maps at certain time steps by spatially interpolating time series data at each well utilizing correlations with other wells in the aquifer. Decision-makers can do the following tasks with the help of this program, which is generalized to enable its use globally.

BI: Is HAIS Explorer making a difference for the scientific user community?
For scientific community it very useful to identify Groundwater charge data method. To work on the exactness of this application in planning and evaluating groundwater, fostered a strategy for information ascription, MLR with connected wells. This technique for transiently extrapolating recorded information to unsampled time spans, utilizing related information from different wells, was utilized related to Kriging spatial interjection to make guides of groundwater levels at indicated time steps. This technique beat the common Kriging spatial introduction strategy utilizing just wells with estimated information at the predetermined time steps, yielding more precise guides of groundwater levels.

Aquifer storage change estimate. This tool and the accompanying methods provide a simple approach for estimating historical changes in aquifer storage. Found that the Groundwater Level Mapping Tool's automated method yielded results comparable to several detailed USGS studies in Utah's Cedar Valley and Beryl-Enterprise area. Once computed these aquifer storage change estimates can be used by managers to validate water budget estimates and determine if an aquifer is being managed in a sustainable fashion.

One limitation of the tool is that it currently uses a single average storage coefficient for each aquifer. While this is a reasonable approach for most aquifers, there are cases where sufficient data exists to characterize the spatial variation of the storage coefficient within an aquifer. In such cases, the tool could be easily modified to include a grid of storage coefficients as input. At this point in time, only validated the aquifer storage results using unconfined aquifers. More studies are need to test the method on confined aquifer systems. Another limitation of the tool is that does not currently produce an uncertainty estimate.

BI: What is the best way to people can connect with you?
People can connect with me via LinkedIn or google- scholar

Google Scholar:

https://scholar.google.com/citations?user=AvXg25kAAAAJ&hl=en&authuser=1

LinkedIn:

https://www.linkedin.com/in/sanyasi-d-750321102/

ResearchGate:

https://www.researchgate.net/profile/Dadi-Sanyasi-Naidu