Md. Kishor MorolAmerican International University-Bangladesh | AIUB · Department of Computer Science
Md. Kishor Morol
MS
Incoming Ph.D. Student @Cornell | Assistant Professor of CS @AIUB | Director @KI Research Lab | Founder @Kishor Academy
About
36
Publications
7,202
Reads
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30
Citations
Citations since 2017
Introduction
Assistant Professor of CS @AIUB |
Director @KI Research Lab |
Founder @Kishor Academy
Additional affiliations
September 2018 - present
May 2017 - present
December 2016 - May 2017
IMS Health Dhaka
Position
- Engineer
Education
January 2013 - December 2016
Publications
Publications (36)
Fake news on social media is increasingly regarded as one of the most concerning issues. Low cost, simple accessibility via social platforms, and a plethora of low-budget online news sources are some of the factors that contribute to the spread of false news. Most of the existing fake news detection algorithms are solely focused on the news content...
Human emotion is affected by visual stimuli from
all around the environment. This change in emotion and mood
carries over to our tastes in various things, one of them being
music. Computer vision and data mining are sub-fields of
computer science that deal with the interpretation of visual media
and analysis of temporal data to derive an outcome re...
Nowadays, proper urban waste management is one of the biggest concerns for maintaining a green and clean environment. An automatic waste segregation system can be a viable solution to improve the sustainability of the country and boost the circular economy. This paper proposes a machine to segregate waste into different parts with the help of a sma...
Nowadays, proper urban waste management is one of the biggest concerns for maintaining a green and clean environment. An automatic waste segregation system can be a viable solution to improve the sustainability of the country and boost the circular economy. This paper proposes a machine to segregate waste into different parts with the help of a sma...
Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of breast cancer. Currently, HER2 breast cancer is detected using expensive medical tests are most expensive. Therefore, the aim of this study was to develop a computational model named convoHER2 for detecting HER2 breast cancer with image data using...
Imbalanced datasets can lead to biasness in the detection of fake news. In this work, we present several strategies for resolving the imbalance issue of fake news detection in Bangla with a comparative assessment of proposed methodologies. Additionally, we propose a technique for improving performance even when the dataset is imbalanced. We applied...
As a result of bad eating habits, humanity may be destroyed. People are constantly on the lookout for tasty foods, with junk foods being the most common source. As a consequence, our eating patterns are shifting, and we’re gravitating toward junk food more than ever, which is bad for our health and increases our risk of acquiring health problems. M...
Corona Virus Disease (COVID-19) is probably one
of the most dreadful disease globally and the root cause of people’s
demise. Advance forms of COVID-19 are being discovered
every time, and it has become hard to find solutions to get rid
of this severe trouble. Scientists, Researchers, and others who
work in medical fields are trying to implement a s...
Over the past decade, sentiment analysis (SA), also known as opinion mining, has been a treading research topic. The primary goal of SA is to determine the polarity of a sentence or whether the conveyed viewpoint is positive, negative, or neutral. The English language is the subject of the majority of SA research in natural language processing (NLP...
Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of breast cancer. Currently, HER2 breast cancer is detected using variety of medical test which are most expensive. Therefore, the aim of this study was to develop a computational model named convoHER2 for detecting HER2 breast cancer with image data...
—COVID-19 outbreak occurred from China which
spreads between people through close contact of the infected
person. In this pandemic, managing such a high number of
patients is difficult. Already, 5.3 million people have died. For
this disease, people from all over the world became interested on
telemedicine. Till now lots of people solved many probl...
Generally, Parkinson’s disease (PD) is a chronic, degenerative neurological disorder that affects most people over the age of 50. The risk of PD is rising along with the average life expectancy. Therefore, the aim of this study is to analyze the PD severity and its duration with different related parameters, including the patient's background histo...
Cloud computing is the on-demand usage of computer resources through the internet, allowing us to relocate application software and databases. Its purpose is to deliver IT services that enable clients to benefit from the pay-per-use model's substantial cost advantages and the ability to flexibly scale up or down without having to make significant i...
Fake news on social media is increasingly regarded as one of the most concerning issues. Low cost, simple accessibility via social platforms, and a plethora of low-budget online news sources are some of the factors that contribute to the spread of false news. Most of the existing fake news detection algorithms are solely focused on the news content...
Virtual Reality has become a significant element of education throughout the years. To understand the quality and advantages of these techniques, it is important to understand how they were developed and evaluated. Since COVID-19, the education system has drastically changed a lot. It has shifted from being in a classroom with a whiteboard and proj...
While deep learning-based image reconstruction methods have shown significant success in removing objects from pictures, they have yet to achieve acceptable results for attributing consistency to gender, ethnicity, expression, and other characteristics like the topological structure of the face. The purpose of this work is to extract the mask regio...
As a result of bad eating habits, humanity may be destroyed. People are constantly on the lookout for tasty foods, with junk foods being the most common source. As a consequence, our eating patterns are shifting, and we're gravitating toward junk food more than ever, which is bad for our health and increases our risk of acquiring health problems. M...
Imbalanced datasets can lead to biasedness into the detection of fake news. In this work, we present several strategies for resolving the imbalance issue for fake news detection in Bangla with a comparative assessment of proposed methodologies. Additionally, we propose a technique for improving performance even when the dataset is imbalanced. We ap...
Food is essential for human survival, and people always try to taste different types of delicious recipes. Frequently, people choose food ingredients without even knowing their names or pick up some food ingredients that are not obvious to them from a grocery store. Knowing which ingredients can be mixed to make a delicious food recipe is essential...
In the modern era, the internet of vehicles (IoV) is being utilized in commercial applications and extensively explored in research. However, internal fault in IoV can cause accidents on the road. Moreover, privacy concerns can hamper the internal data sharing to build a model to detect the anomaly. Federated learning (FL) and blockchain are emergi...
In contemporary times startup is a very popular and growing entity, especially for the software industry as the technology field continues to grow. However, the failure rate of software startups is extremely high, and many reasons are behind this failure. There are many different variables behind the success or failure of a company. The purpose of...
While deep learning-based image reconstruction methods have shown significant success in removing objects from pictures, they have yet to achieve acceptable results for attributing consistency to gender, ethnicity, expression, and other characteristics like the topological structure of the face. The purpose of this work is to extract the mask regio...
Food is something that people look for naturally, so they are constantly searching for appetizing recipes. Frequently, people choose food ingredients without even knowing their names or pick up some food ingredients that aren’t obvious to them from a grocery store. It is important to know which ingredients can be mixed together to make a delicious...
Imbalanced datasets can lead to biasness into the detection of fake news. In this work, we present several strategies for resolving the imbalance issue for fake news detection in Bangla with a comparative assessment of proposed methodologies. Additionally, we propose a technique for improving performance even when the dataset is imbalanced. We appl...
As a result of bad eating habits, humanity may be
destroyed. People are constantly on the lookout for tasty foods,
with junk foods being the most common source. As a result, our
eating habits are changing, and we are increasingly gravitating
toward junk food, which has a negative impact on our health
and raises our chance of developing health probl...
BCI (Brain-Computer Interface) introduces a new way of communication with a computer without any physical activity. Using this BCI system, users can control multiple home appliances remotely. Electroencephalography (EEG) is a part of BCI. This EEG sensor can capture the signal from any subject’s brain. This signal can then be converted into command...
BCI (Brain-Computer Interface) introduces a new way of communication with a computer without any physical activity. Using this BCI system, users can control multiple home appliances remotely. Electroencephalography (EEG) is a part of BCI. This EEG sensor can capture the signal from any subject's brain. This signal can then be converted into command...
Questions
Question (1)
Bengali Speaker Identification
Projects
Projects (6)
Social Media meme has become a
new way of communication on the Internet. As
memes are images with embedded text, they
can quickly spread hate, offense, and violence.
Classifying memes are very challenging
because of their multimodal nature and region specific interpretation.
This study speculates that each batsman has a weakness to a specific type of bowler based on the type of pitch he is playing in. In cricket pitch is a very important part of the game. it tends to exploit batters' weaknesses or give them an advantage. However, depending on the pitch the bowlers also can get the same advantage. The pitches tend to show similar features based on conditions and places. For example, the Australian and New Zealand pitches tend to generate more bounce whereas the English and South African pitches generate a lot of swings and batting friendly. However, the Indian subcontinent pitches are spin-friendly. To support our speculation many batters' innings data were collected and they are analyzed.
