Sifat Ahmed

Hiperdyne Corporation / Artificial Intelligence Engineer

Sifat Ahmed

Hiperdyne Corporation / Artificial Intelligence Engineer

Sifat Ahmed

Hiperdyne Corporation / Artificial Intelligence Engineer

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Hello! I'm Sifat Ahmed, a graduate from Ahsanullah University of Science & Technology. My major was Computer Science & Engineering. I'm working as a data scientist at Hiperdyne Corporation. Before that, I had an internship at Microsoft Bangladesh.

Automated COVID-19 Detection from Chest X-Ray Images : A High Resolution Network (HRNet)Approach

An Attention-based Approach to Detect Emotion from Tweets

In the future

Ambition

In the future

I want to become a AI team lead in the future.

Feb 2020
-
Present

Artificial Intelligence Engineer
Present

Feb 2020 -

Present

Early Depression Detection from Social Network Using Deep Learning Techniques

Depression is a psychological disorder that affects over three hundred million humans worldwide. A person who is depressed suffers from anxiety in day-today life, which affects that person in the relationship with their family and friends, leading to different diseases and in the worst-case death by suicide. With the growth of the social network, most of the people share their emotion, their feelings, their thoughts in social media. If their depression can be detected early by analyzing their post, then by taking necessary steps, a person can be saved from depression-related diseases or in the best case he can be saved from committing suicide. In this research work, a hybrid model has been proposed that can detect depression by analyzing user's textual posts. Deep learning algorithms were trained using the training data and then performance has been evaluated on the test data of the dataset of reddit which was published for the pilot piece of work, Early Detection of Depression in CLEF eRisk 2019. In particular, Bidirectional Long Short Term Memory (BiLSTM) with different word embedding techniques and metadata features were proposed which gave good results.

Mar 2020

Early Depression Detection from Social Network Using Deep Learning Techniques

Mar 2020

June 2015
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June 2019

Ahsanullah University of Science & Technology (AUST)

5 years

Computer Science and Engineering

June 2015 - June 2019

My major courses are: Object Oriented Programming, Discrete Mathematics, Structured Programming, Data Structure, Numerical Methods, Algorithms, Computational Mathematics, Database, Distributed Database, Computer Networks, Microprocessor, Artificial Intelligence, Computer Vision, Pattern Recognition and Machine Learning.


Publications

Automated COVID-19 Detection from Chest X-Ray Images : A High Resolution Network (HRNet)Approach

Nov 2020

Early Depression Detection from Social Network Using Deep Learning Techniques

Mar 2020

An Attention-based Approach to Detect Emotion from Tweets

Feb 2020