Solar Eclipse 2020

NCBC organized a live session of Annular Solar Eclipse on 21
June 2020 from Sukkur, Sindh, Pakistan.& captured this
stunning RING OF FIRE moment of Annular Solar
Eclipse. Subscribe our youtube
channel. https://www.youtube.com/channel/UC4G_hI68RU6P80Jgb19Ombw

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NCBC

The National Center in Big Data and Cloud Computing (NCBC)
focuses on R&D and human resource development in the
specialized field of Big Data and Cloud Computing and its
practical applications, which are important components of
Vision 2025

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NCBC

Exascale OpenData Analytics Lab NED, Karachi

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NCBC

Team @ Exascale OpenData Analytics Lab

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NCBC

Group photo @ NCBC Inauguration

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O U R   R E S E A R C H   E X P E R T I S E :

O U R  STARTUPS :

 

NCBC-NEDUET started two TECH STARTUP and provide opportunities to help them grow into the mature business entities with well-established working environment. NCBC also facilitates  the startup scene that assist the entrepreneurs in finding mentors, funding, business networks, etc.

 

R E C E N T   P R O J E C T S :

AUTOMATED SUNSPOTS DETECTION USING ARTIFICIAL INTELLIGENCE


Smart sunspot detection system.

Sunspots are dark, planet-sized regions that appear on the "surface" of the Sun.They are regions of reduced surface temperature caused by disturbances in the Sun's magnetic field.Since sunspots are associated with solar activity, space weather forecasters track these features in order to help predict outbursts of "solar storms" that can disrupt space weather in the vicinity of earth. 

An intelligent system is therefore required that can efficiently detect sunspots or active regions on the Sun.

In AUTOMATED SUNSPOTS DETECTION a Machine Learning based predictive model is used to predict the sunspots.


INTELLIGENT CELESTIAL OBJECT DETECTION USING ADVANCE MACHINE LEARNING ALGORITHM


Fully automated and intelligent celestial object detection system.

In this project the system will be using an algorithm to identify the shape of the celestial object present in the image. The algorithm will supplementary spot any merger and odd features in the identified shape. This will help in the identification of the celestial object that will further support in understanding its behavior. .

 


INTELLIGENT CONSTELLATION DETECTION SYSTEM USING AI


Automated and intelligent constellation detection system.

The objective of this research is to use pattern recognition to detect the constellations present in the deep sky image. In this project, the images will be processed to filter out and remove noise, and then the pattern recognition algorithm will be applied on the image to detect the constellations present. Then the output will be provided to the user on the images with detected constellations' pattern plotted.


AI BASED HUMAN DETECTION & ADJUSTMENT SYSTEM


Smart AI based Human Detection System

In this project the system will be using an AI algorithm to identify human and crop human face from image.

Detect face gesture such as smile,eye contact  & tilt faces.

Show error on images with improper resolution, non human & face with improper gesture.

 

 


SMART ADS EXTRACTOR


Automated and intelligent system to detect ads shown on different websites.

The objective of this research is to use pattern recognition to detect the constellations present in the deep sky image. In this project, the images will be processed to filter out and remove noise, and then the pattern recognition algorithm will be applied on the image to detect the constellations present. Then the output will be provided to the user on the images with detected constellations' pattern plotted.

 


GENOMICS BIRTH DEFECT DATABASE


 

Birth Defect Database

This Birth Defects database is a collection of birth defects data present in different authentic websites/databases/organizations as shown in the pyramid. The importance of this database is that it merges all the accurate information related to the common birth defects found in Pakistan and provides it at a single platform which makes it quite helpful for the genetic researchers/students/clinicians working in the domain of birth defects.


A DIGITAL ELEVATION MODEL FOR CALIBRATING TSUNAMI MODEL IN KARACHI HARBOUR


 

Developing a Digital Elevation Model

 

This study is focused on developing a Digital Elevation Model for simulating the 1945  Makran  tsunami  in  Karachi  Harbour. Nautical  charts  and  topographic  maps allow  the  DEM  to  approximate  physiography  encountered. The intended application is computer simulation of the tsunami’s effects, which have been compiled elsewhere from a tide-gauge record, newspaper accounts, and testimony of elderly residents. 

 

 

 

 


TSUNAMI RISK ASSESSMENT IN COASTS OF PAKISTAN BORDERING THE MAKRAN REGION


Tsunami Risk Mapping in coasts of Pakistan

This study is focused on tsunami effects along coasts of Pakistan resulting from Tsunami currents rather than high water levels. Simulation is to be done with an open source code, Geo Claw, which uses a High resolution shock capturing finite volume method to solve the depth averaged Two dimensional nonlinear shallow water equations that are standard in modelling tsunami propagation and Inundation.

 

 

IDENTIFICATION OF GENE SPECIFIC CIS-REGULATORY ELEMENTS DURING DIFFERENTIATION OF MOUSE EMBRYONIC STEM CELLS


An integrative approach using high-throughput datasets

Developed individual models to identify the potential control elements predictive of the expression of each gene. Our models were compared to an existing method and evaluated using the existing literature and new experimental data using embryonic stem cell differentiation reporter assays. Our method is able to identify transcriptional control elements in a gene specific manner that reflect known regulatory relationships and to generate useful hypotheses for further testing.

 

IDENTIFICATION OF EPIGENETIC MARKERS FOR PREDICTION OF CANCER


The present study aims to identify a set of novel genes and pathogenic alleles (consistent mutations) that might be involved in liver cancer. The non-coding mutations were identified in transcription factor binding sites of HepG2 cells. The pathogenic alleles identified in this study may help to understand the progression of liver cancer at molecular level. They may also act as potential biomarkers and therapeutic targets for liver cancer prediction and treatment.

 

 

O U R   R E S O U R C E S  :