Personal CV of Md. Habibur Rahman, Student of Institute of Information Technology, University of Dhaka. The CV was prepared for targeting the internship program in 7th semster.
Assalamu Alaikum to everyone. I am M Shahriar Khan from Mymensingh, Netrakona, Dhaka. I passed my S.S.C. and H.S.C. examination from B.A.F. Shaheen College Dhaka in 2008 and 2010 respectively. I am graduated in computer science and engineering from Military Institute of Science and Technology. Now I am working at Incepta Pharmaceuticals Ltd. one of the reputed pharceuticals Company in BD as assistant IT officer.
Assalamu Alaikum to everyone. I am M Shahriar Khan from Mymensingh, Netrakona, Dhaka. I passed my S.S.C. and H.S.C. examination from B.A.F. Shaheen College Dhaka in 2008 and 2010 respectively. I am graduated in computer science and engineering from Military Institute of Science and Technology. Now I am working at Incepta Pharmaceuticals Ltd. one of the reputed pharceuticals Company in BD as assistant IT officer.
The AI systems we are using or we'll use in future will be judging our IQ & interact in a way we can't understand right now,in thought of that,i used some basic questions that might help the self learning program to judge our age & then treat us on its own.
NOTE:This project is only for calculating your mental age ,based on your choices.
Dga final year project report Akshay KalapgarAkshayKalapgar
Attackers usually use a Command and Control (C2) server to manipulate the communication. In
order to perform an attack, threat actors often employ a Domain Generation Algorithm (DGA),
which can allow malware to communicate with C2 by generating a variety of network locations.
Traditional malware control methods, such as blacklisting, are insufficient to handle DGA threats.
In this paper, we propose a machine learning framework for identifying and detecting DGA
domains to alleviate the threat. We collect real-time threat data from the real-life traffic over a oneyear period. We also propose a deep learning model to classify a large number of DGA domains.
The proposed machine learning framework consists of a two level model and a prediction model. In
the two-level model, we first classify the DGA domains apart from normal domains and then use
the clustering method to identify the algorithms that generate those DGA domains. In the prediction
model, a time-series model is constructed to predict incoming domain features based on the Hidden
Markov Model (HMM). Furthermore, we build a Deep Neural Network (DNN) model to enhance
the proposed machine learning framework by handling the huge dataset we gradually collected. Our
extensive experimental results demonstrate the accuracy of the proposed framework and the DNN
model. To be precise, we achieve an accuracy of 95.89% for the classification in the framework and
97.79% in the DNN model, 92.45% for the second-level clustering, and 95.21% for the HMM
prediction in the framework.
The AI systems we are using or we'll use in future will be judging our IQ & interact in a way we can't understand right now,in thought of that,i used some basic questions that might help the self learning program to judge our age & then treat us on its own.
NOTE:This project is only for calculating your mental age ,based on your choices.
Dga final year project report Akshay KalapgarAkshayKalapgar
Attackers usually use a Command and Control (C2) server to manipulate the communication. In
order to perform an attack, threat actors often employ a Domain Generation Algorithm (DGA),
which can allow malware to communicate with C2 by generating a variety of network locations.
Traditional malware control methods, such as blacklisting, are insufficient to handle DGA threats.
In this paper, we propose a machine learning framework for identifying and detecting DGA
domains to alleviate the threat. We collect real-time threat data from the real-life traffic over a oneyear period. We also propose a deep learning model to classify a large number of DGA domains.
The proposed machine learning framework consists of a two level model and a prediction model. In
the two-level model, we first classify the DGA domains apart from normal domains and then use
the clustering method to identify the algorithms that generate those DGA domains. In the prediction
model, a time-series model is constructed to predict incoming domain features based on the Hidden
Markov Model (HMM). Furthermore, we build a Deep Neural Network (DNN) model to enhance
the proposed machine learning framework by handling the huge dataset we gradually collected. Our
extensive experimental results demonstrate the accuracy of the proposed framework and the DNN
model. To be precise, we achieve an accuracy of 95.89% for the classification in the framework and
97.79% in the DNN model, 92.45% for the second-level clustering, and 95.21% for the HMM
prediction in the framework.
Hello Sir/Madam,
I'M Ruchi Rai.i have experience 5 month in core php.
i have also worked wordpress,codeigniter(MVC,HMVC),Moodle framework.
i also known AJAX,Javascript,JQuery,HTML5,CSS,Bootstrape,C &C++.
Thanks & Regards
Ruchi Rai
Email Id:ruchi.mcalnct40@gmail.com
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The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
The Impact of Artificial Intelligence on Modern Society.pdf
CV, Habibur Rahman
1. Md. Habibur Rahman
Room no: 2101, Shahidullah Hall, University of Dhaka, Dhaka-1000
Phone: +8801520090526, +8801686082762
Email: habib.iit.du@gmail.com
Professional Network: bd.linkedin.com/pub/habibur-rahman/25/976/7ba
Career Objective
As a self-motivated and responsible person, seeking for such a professional environment where
enhancing professional and developing problem solving skills are well appreciated. At the same
time looking forward to challenging and growth oriented tasks that help to prove the best of my
ability in achieving the objective of the job.
Technical Skills
Programming Skills: C, C++, C#, ASP.NET MVC3, Entity Framework (Familiar), Java (SE),
Java (ME), HTML, CSS, PHP, JavaScript
Familiar IDE’s: Eclipse, Netbeans, Microsoft Visual Studio 2010, Code Blocks
Database Skills: Oracle 10g, MSQL, MySQL
Operating System Skills: Windows, Linux
Testing Tools used: Testlink, Mantis, Badboy, Session Tester, Freemind
Education
Major Year Board/Univ. Name of Institution CGPA
Bachelor of 2010-Present University of Institute of Information 3.73 out of 4.00
Software (6th Semester Dhaka Technology (up to 5th
Engineering Running) semester)
HSC 2009 Rajshahi Rajshahi University School 5.00 out of 5.00
SSC 2007 Rajshahi Rajshahi University School 5.00 out of 5.00
Academic Achievements
Board Scholarship both in SSC’07 and HSC’09
Stood 6th (General Category) in Junior Scholarship 2004 in Rajshahi Division.
Stood 2nd in Bangladesh Masjid Mission Junior Scholarship 2004 in Rajshahi Division.
Undergrad Courses
Among all my courses, exceptional and industry-oriented ones are listed here:
Object Oriented Concept I & II Software Analysis and Design
Design Pattern Software Testing and Quality Assurance
Software Requirement Spec. and Analysis Software Project Lab I & II
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2. Other important courses studied in the Bachelor program:
Combinatorial Optimization Parallel Computing
Database Management System Artificial Intelligence
Data Structure and Algorithms Distributed Operating Systems
Discrete Mathematics Web Technology
Notable Project Developments
System Automation for Patient Appointment (SAPA) via SMS
Role : Team Leader and Developer
Language : Java
Brief Description : The project was developed in the 3rd semester for the partial fulfillment
of Software Project Lab-I. The system has made the traditional patient
appointment system automated using the mobile SMS.
Bangla Optical Character Recognition System (BOCRS)
Role : Team Leader and Developer.
Language : Java, MATLAB
Brief Description : The project was developed in the 5th semester for the partial fulfillment
of Software Project Lab-II. The system can identify Bengali words from
an image and can write in an editable document.
Student Information System (SIS) for Institute of Information Technology
Role : Tester
Language : C# (using .NET MVC 3 Framework)
Brief Description : The system provides the facilities to manage the information of the
students course enrolment, attendance management etc. for the students of
Institute of Information Technology, University of Dhaka.
Online Railway Ticket Management System (ORTMS)
Role : Team Leader and Developer
Language : HTML, PHP, CSS
Database : MySQL
Brief Description : The online system manages the selling of the tickets of Bangladesh
Railway and informs any information via SMS to the passenger.
Online Job Recruitment System (OJRS)
Role : Team Leader and Developer
Language : HTML, HTML5, PHP, CSS, JavaScript
Database : MySQL
Brief Description : The OJRS made the important steps of job recruitment system online.
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3. Scientific Calculator and Mathematical graph Evaluator
Role : Team Leader and Programmer
Language : Java
Brief Description : The scientific calculator mini project was developed in the 2nd Semester.
The calculator provides the basic and scientific functionality of a
calculator. The additional part was to draw the graph of different
mathematical equation such as y=ex, y = sin(x) etc.
Patient Appointment System via Automated Voice Calling
Role : Requirement Engineer
Brief Description : The system automated the patient appointment system via mobile voice
calling system. My role was here only requirement engineering.
Co-curricular and Extra-curricular activities
Organizer, BIT 3rd Batch Orientation Program at IIT, DU from 24th to 26th January 2011
Member, Organizing Panel, IIT Film Festival 2010
Member, Organizing Panel and participated as a trainee in “1st bKash-IIT .NET
workshop” held at IIT, DU trained by engineer from different software industry
Participated in “Therap Java Fest 2012” and Selected
Participated workshop on “Microsoft Windows 8 application development” held at IIT
DU on 3rd November 2012
Submitted application (stopwatch) at Microsoft Windows 8 app store where 100 apps
were submitted in a day named “Microsoft App-a-thon”
Participated in BASIS Code Warriors Challenges 2011
Contestant at 1st National Collegiate Software Competition (NCSC) titled “REVE
System CSE Carnival” at Shahjalal University of Science and Technology with the
software project “System Automation for Patient Appointment (SAPA) via SMS”
Personal Interest:
Very much passionate about playing cricket and badminton with some other interests such as
travelling, reading books, photography
References:
Dr. Kazi Muheymin-Us-Sakib S.M Awsaful Islam
Associate Professor Senior Software Engineer
Institute of Information Technology Development Team Leader
University of Dhaka M&H Informatics (BD) Ltd
Phone: +8801730051232 Senior Consultant at IMS Health
Email: sakib@univdhaka.edu Phone: +8801919290655
Email: shurid@gmail.com
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