
Mohd SaqibMcGill University | McGill · School of Information Studies (SIS)
Mohd Saqib
Doctor of Philosophy
Looking for PostDoc or Faculty Positions
About
23
Publications
11,984
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215
Citations
Introduction
Mohd Saqib received his B.Sc. in Computer Application from the Department of Computer Science, A.M.U, Aligarh, India in 2015. And also completed MCA from the same university with distinction in 2018. He was a research assistant in the CARET, A.M.U and during this period, he worked on projects related to monitoring and accessing smart grid data via cloud computing. Nowadays, he is pursuing M.Tech in Data Analytics from the IIT (ISM) Dhanbad.
Additional affiliations
December 2016 - December 2017
Centre of Advanced Research in Electrified Transportation, Aligarh, India
Position
- Research Assistant
Description
- Worked on Cloud Computing, Information System.
Education
July 2015 - July 2018
July 2012 - August 2015
Publications
Publications (23)
In this era of increasing energy demand, optimizing energy consumption in building systems is critical for enhancing sustainability and operational efficiency. Residential buildings consume significant energy, with heating load (HL) and cooling load (CL) being major contributors. While previous research explored modeling techniques, there's a need...
In the software engineering domain, the distinction between functional (FRs) and non-functional requirements (NFRs) is paramount, as it directly influences the design and development of software systems. However, several challenges, such as dealing with limited training data, domain-specific datasets, and high computational costs, have driven the n...
In the past decade, the number of malware variants has increased rapidly. Many researchers have proposed to detect malware using intelligent techniques, such as Machine Learning (ML) and Deep Learning (DL), which have high accuracy and precision. These methods, however, suffer from being opaque in the decision-making process. Therefore, we need Art...
Several efforts have been made to understand the complex physical processes involved in a seismic process, but the findings are vague considering prediction capabilities. Nevertheless, recent seismo-ionosphere precursory research has enlightened new pathways toward building an earthquake (EQ) forecasting system. Previously, some conventional mathem...
It has been observed in many studies that ionosphere create a significant perturbation before major earthquakes. Therefore, forecasting of earthquakes on the basis of the ionosperic anomalies become trending. However , we still need more accurate and reliable advance technique to predict. In this study, we have analysed the Awaran, Pakistan (Mw 7.7...
We propose a Multi-Network-based Hybrid Long Short Term Memory (N-LSTM) model for ionospheric anomaly detection to forecast highly irregular data of the ionospheric Total Electron Content (TEC). Previously purposed models were suffering from the problems of vanishing gradient, exploding gradient, uncertainty, and parameter bias. LSTM is used to ove...
Since ionospheric variability changes dramatically before the major earthquakes (EQ), the detection of ionospheric anomalies for EQ forecasting has been a hot topic for modern-day researchers for the last couple of decades. Therefore, there is a need to identify highly accurate, advance, and intelligent models to identify these anomalies. In the pr...
Defects are the major problems in the current situation and predicting them is also a difficult task. Researchers and scientists have developed many software defects prediction techniques to overcome this very helpful issue. But to some extend there is a need for an algorithm/method to predict defects with more accuracy, reduce time and space compl...
The phenomenon of Lithosphere-Ionosphere coupling is a popular topic for researchers for the last two decades. This study aims to analyze the seismo-ionospheric anomalies (SIAs) in East Asia induced by the M > 6 earthquakes (EQs) from Total Electron Content (TEC) of permanent IGS stations operating around the vicinity of the corresponding epicenter...
The ARIMA method, time series analysis technique, was proposed to perform short-term ionospheric Total Electron Content (TEC) forecast and to detect TEC anomalies. The success of the method was tested in two major earthquakes that occurred in India (M 7.7 Bhuj EQ, on Jan 26, 2001) and Turkey (M 7.1 Van EQ, on Oct 23, 2011). For ARIMA analysis, we h...
The effects of physical events on the ionosphere structure is an important field of study, especially for navigation and radio communication. The paper presents the spatio-temporal ionospheric TEC response to the recent annular solar eclipse on June 21, 2020, which spans across two continents, Africa and Asia, and 14 countries. This eclipse took pl...
In 2020, coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 (severe acute respiratory syndrome corona virus 2) coronavirus, has become a worldwide natural disaster and has taken form of pandemic. Due to this unforeseen pandemic, humanity had faced many challenges and realized the capability of a human being is not enough to survive in su...
Cloud Computing Disaster Remote Sensing IoT ICT Natural disasters are by far destructive acts of nature for living beings. No one can stop natural disaster but the level of distraction can be reduced by using some precautionary measures. Here, in this paper, we are focusing mainly upon the after-effects management of any natural calamities by propo...
The Internet of Things (IoT) comprises enmeshing of communication via embedded devices using webwork networking devices. Cardio is considered to be the most prevalent ailment affecting people across the globe. We still fail to control it due to negligence and lack of adequate knowledge. A heart patient needs a regular checkup and monitoring but to...
Smart charging system of electric vehicle using cloud based monitoring and management is demonstrated in this work. xEVs (electric plugin hybrid, battery electric vehicles) Charging Management System is crucial for the dynamic demands of charging infrastructure, namely perspectives from automakers, electricity providers, vehicle owners and charging...
The present study discusses impact of BitcryptRansomware in
the upcoming era of cashless economy. The wide usage of
Bitcoins and e-transactions makes it mandatory to have
knowledge about anticipated online threats which one can
come across upon wielding of proposed cashless economy.
Bitcoin can influence upon both legal as well as illegal dark
web...
Questions
Questions (3)
I am a student of Artificial Intelligence and independent researcher. I want to work on genome data and also looking for a bioinformatics experts to collaborate . Unfortunately, I am unable to found any relevant datasets.
Dataset I am looking for must have two attributes 1) Sequence Genome, 2) Label (A label can be species name, or disease, or something.
I need to plot and read TEC value file downloaded from NASA server. Is there any tool to read it or any programing language.
An object-oriented database management system (OODBMS), sometimes shortened to ODBMS for object database management system, is a database management system (DBMS) that supports the modelling and creation of data as objects. This includes some kind of support for classes of objects and the inheritance of class properties and methods by subclasses and their objects.