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Abu Shafin Mohammad Mahdee Jameel - IEEE Xplore Author Profile
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Abu Shafin Mohammad Mahdee Jameel

Publications
14
Citations
77
Publications by Year
20122024
Co-Authors:
Show All Co-Authors (37)
Image of author Abu Shafin Mohammad Mahdee Jameel

Abu Shafin Mohammad Mahdee Jameel

Affiliation

School of Electrical and Computer Engineering, Purdue University, USA

Publication Topics

Biography

Abu Shafin Mohammad Mahdee Jameel received the B.Sc. and M.Sc. degrees in electrical engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 2009 and 2012, and the M.Eng. degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, New York, USA, in 2014. From 2010 to 2015, he was a Lecturer at Eastern University, Dhaka. He is currently an Assistant Professor with United International University, Dhaka. He has participated in various conferences, both as an author and a reviewer. He has also conducted several workshops organized by the IEEE Student Section in BUET, ICEEICT 2014, and IEEE Student Branch, Eastern University. His research interests include speech processing, ...
Publications
14
Citations
77
Publications by Year
20122024
Co-Authors:
Show All Co-Authors (37)
Author's Published Works

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Improving Transferability of Network Intrusion Detection in a Federated Learning Setup

Shreya Ghosh;Abu Shafin Mohammad Mahdee Jameel;Aly El Gamal

2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning systems, popular due to their superior performance compared to traditional IDS, depend on availability of high quality training data for diverse intrusion classes. A way to overcome this limitation is through transferab...Show More

Improving Transferability of Network Intrusion Detection in a Federated Learning Setup

Shreya Ghosh;Abu Shafin Mohammad Mahdee Jameel;Aly El Gamal

Year: 2024 | Conference Paper |

Data-Driven Subsampling in the Presence of an Adversarial Actor

Abu Shafin Mohammad Mahdee Jameel;Ahmed P. Mohamed;Jinho Yi;Aly El Gamal;Akshay Malhotra

2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Year: 2024 | Conference Paper |
Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recently, data-driven subsampling techniques have been utilized to overcome the challenges associated with computational complexity and training time for AMC. Beyond these direct advantages of data-driven subsampling, these me...Show More

Data-Driven Subsampling in the Presence of an Adversarial Actor

Abu Shafin Mohammad Mahdee Jameel;Ahmed P. Mohamed;Jinho Yi;Aly El Gamal;Akshay Malhotra

Year: 2024 | Conference Paper |

Deep OFDM Channel Estimation: Capturing Frequency Recurrence

Abu Shafin Mohammad Mahdee Jameel;Akshay Malhotra;Aly El Gamal;Shahab Hamidi-Rad

IEEE Communications Letters
Year: 2024 | Volume: 28, Issue: 3 | Journal Article |
Cited by: Papers (3)
In this letter, we propose a deep-learning-based channel estimation scheme in an orthogonal frequency division multiplexing (OFDM) system. Our proposed method, named Single Slot Recurrence Along Frequency Network (SisRafNet), is based on a novel study of recurrent models for exploiting sequential behavior of channels across frequencies. Utilizing the fact that wireless channels have a high degree ...Show More

Deep OFDM Channel Estimation: Capturing Frequency Recurrence

Abu Shafin Mohammad Mahdee Jameel;Akshay Malhotra;Aly El Gamal;Shahab Hamidi-Rad

Year: 2024 | Volume: 28, Issue: 3 | Journal Article |

An Advanced Recommendation System by Combining Popularity-Based and User-Based Collaborative Filtering Using Machine Learning

Abdullah Al Jobaer;Bimurta Bismoy Sanchi;Aaquib Javed;Md Shariful Islam;Abu Shafin Mohammad Mahdee Jameel

2021 International Conference on Science & Contemporary Technologies (ICSCT)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Finding the similarity is one of the critical rules of a recommender system. Popularity-based filtering offers to generalize recommendations to every user based on its popularity. Recommendation system or recommender engine is one of the most discussed topics in machine learning for business. There are three types of the commonly used recommender system. They are Popularity-based, Content-based, a...Show More

An Advanced Recommendation System by Combining Popularity-Based and User-Based Collaborative Filtering Using Machine Learning

Abdullah Al Jobaer;Bimurta Bismoy Sanchi;Aaquib Javed;Md Shariful Islam;Abu Shafin Mohammad Mahdee Jameel

Year: 2021 | Conference Paper |

Deep Learning for Frame Error Prediction Using a DARPA Spectrum Collaboration Challenge (SC2) Dataset

Abu Shafin Mohammad Mahdee Jameel;Ahmed P. Mohamed;Xiwen Zhang;Aly El Gamal

IEEE Networking Letters
Year: 2021 | Volume: 3, Issue: 3 | Journal Article |
Cited by: Papers (2)
We demonstrate a first example for employing deep learning in predicting frame errors for a Collaborative Intelligent Radio Network (CIRN) using a dataset collected during participation in the final scrimmages of the DARPA SC2 challenge. Four scenarios are considered based on randomizing or fixing the strategy for bandwidth and channel allocation, and either training and testing with different lin...Show More

Deep Learning for Frame Error Prediction Using a DARPA Spectrum Collaboration Challenge (SC2) Dataset

Abu Shafin Mohammad Mahdee Jameel;Ahmed P. Mohamed;Xiwen Zhang;Aly El Gamal

Year: 2021 | Volume: 3, Issue: 3 | Journal Article |

A Real-Time Motion Based Fuel Monitoring Technique For Vehicle Tracking Systems

Faizah Farzana;Md. Miraz Hossain;Mohammad Maruf Imtiaze;Md. Tafsir Hossain;Abu Shafin Mohammad Mahdee Jameel;Salekul Islam

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Fuel monitoring is an integral part of a vehicle tracking system. It allows a user to track the fuel status of a vehicle, such as fuel level, refill, leak or theft, and analyze the consumption behavior. In this paper, we present a novel technique for improving the fuel monitoring service of vehicle tracking systems. We integrate the motion parameters of a vehicle (orientation, acceleration, and vi...Show More

A Real-Time Motion Based Fuel Monitoring Technique For Vehicle Tracking Systems

Faizah Farzana;Md. Miraz Hossain;Mohammad Maruf Imtiaze;Md. Tafsir Hossain;Abu Shafin Mohammad Mahdee Jameel;Salekul Islam

Year: 2020 | Conference Paper |

Smart Sentiment Analyzer for Bengali-English based on Hybrid Model

Syeda Lamia Noor;Abu Shafin Mohammad Mahdee Jameel;Mohammad Nurul Huda

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
This paper describes an intelligent sentiment analyzer incorporating linguistic knowledge. Our proposed method comprises three stages i) corpus construction, ii) classification using machine learning tools, and iii) linguistic knowledge integration in post processing stage if any misclassification occurs due to minor problem. Here, we applied nine supervised and ensemble learning approaches. From ...Show More

Smart Sentiment Analyzer for Bengali-English based on Hybrid Model

Syeda Lamia Noor;Abu Shafin Mohammad Mahdee Jameel;Mohammad Nurul Huda

Year: 2019 | Conference Paper |

Real-time Bangla Sign Language Detection using Xception Model with Augmented Dataset

Progya Paromita Urmee;Md. Abdullah Al Mashud;Jasmin Akter;Abu Shafin Mohammad Mahdee Jameel;Salekul Islam

2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
Year: 2019 | Conference Paper |
Cited by: Papers (22)
Bangla Sign language (BdSL) is the communication language used by the deaf and dumb of Bangladesh. In this paper, we present an optimal approach to recognize BdSL in real-time. First, we have developed BdSLInfinite dataset, which consists of 2,000 images of 37 different signs. Using this dataset, a convolutional neural network (CNN) based model is trained using Xception architecture that achieves ...Show More

Real-time Bangla Sign Language Detection using Xception Model with Augmented Dataset

Progya Paromita Urmee;Md. Abdullah Al Mashud;Jasmin Akter;Abu Shafin Mohammad Mahdee Jameel;Salekul Islam

Year: 2019 | Conference Paper |

Cost Efficient Bangla Book Reader for the Visually Impaired

Sabila Nawshin;Sarah Ahsin;Abu Shafin Mohammad Mahdee Jameel;Salekul Islam

2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
Year: 2019 | Conference Paper |
The process of converting physical books or paper documents to a digital format is commonly known as book digitization. In this paper, we propose a cost-effective Bangla book reader for the visually impaired people with the help of Raspberry Pi. A successful model has been developed which scans a page from a physical book, identifies the text using OCR technique, translates needed segments into Ba...Show More

Cost Efficient Bangla Book Reader for the Visually Impaired

Sabila Nawshin;Sarah Ahsin;Abu Shafin Mohammad Mahdee Jameel;Salekul Islam

Year: 2019 | Conference Paper |

Automatic License Plate Recognition System for Bangla License Plates using Convolutional Neural Network

Nazmus Saif;Nazir Ahmmed;Sayem Pasha;Md. Saif Khan Shahrin;Md. Mahmudul Hasan;Salekul Islam;Abu Shafin Mohammad Mahdee Jameel

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)
Year: 2019 | Conference Paper |
Cited by: Papers (34)
We present an automatic license plate recognition system that can detect and recognize Bangla license plates from an image of vehicles. It is mandatory for vehicles in Bangladesh to have Bangladesh Road Transport Authority (BRTA) standard license plates attached in front and back of the vehicle. We build a database containing vehicles of these type. From this dataset, detecting the license plates ...Show More

Automatic License Plate Recognition System for Bangla License Plates using Convolutional Neural Network

Nazmus Saif;Nazir Ahmmed;Sayem Pasha;Md. Saif Khan Shahrin;Md. Mahmudul Hasan;Salekul Islam;Abu Shafin Mohammad Mahdee Jameel

Year: 2019 | Conference Paper |

Noise Robust Formant Frequency Estimation Method Based on Spectral Model of Repeated Autocorrelation of Speech

Abu Shafin Mohammad Mahdee Jameel;Shaikh Anowarul Fattah;Rajib Goswami;Wei-Ping Zhu;M. Omair Ahmad

IEEE/ACM Transactions on Audio, Speech, and Language Processing
Year: 2017 | Volume: 25, Issue: 6 | Journal Article |
Cited by: Papers (5)
In this paper, a noise robust formant frequency estimation scheme is developed based on a spectral model matching algorithm. Considering the vocal tract as an autoregressive system, a spectral model of repeated autocorrelation function (RACF) of band-limited speech signal is proposed. It is shown that because of the repeated autocorrelation operation on band-limited signal, the proposed model can ...Show More

Noise Robust Formant Frequency Estimation Method Based on Spectral Model of Repeated Autocorrelation of Speech

Abu Shafin Mohammad Mahdee Jameel;Shaikh Anowarul Fattah;Rajib Goswami;Wei-Ping Zhu;M. Omair Ahmad

Year: 2017 | Volume: 25, Issue: 6 | Journal Article |

An algorithm to decode movement and laterality from Deep Brain Local Field Potentials utilizing time and frequency domain features

Abu Shafin Mohammad Mahdee Jameel;Khondaker Abdullah Al Mamun

2016 IEEE Region 10 Conference (TENCON)
Year: 2016 | Conference Paper |
Deep Brain Local Field Potentials (LFP) are one of the most promising techniques in the process of understanding the inner workings of our the central nervous system (CNS). The information gathered on neural activity is a key component of interfaces between the human brain and artificial devices. The LFPs recorded from subthalamic nucleus (STN) are important sources of information related to the p...Show More

An algorithm to decode movement and laterality from Deep Brain Local Field Potentials utilizing time and frequency domain features

Abu Shafin Mohammad Mahdee Jameel;Khondaker Abdullah Al Mamun

Year: 2016 | Conference Paper |

Predicting movement and laterality from Deep Brain Local Field Potentials

Abu Shafin Mohammad Mahdee Jameel;Mike Mace;Shouyan Wang;Ravi Vaidyanathan;Khondaker Abdullah Al Mamun

2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
The use of Deep Brain Local Field Potentials (LFP) in the process of connecting the human brain with artificial devices is one of the most promising fields in neural engineering. Inner mechanisms of our the central nervous system (CNS) can be understood through the study of LFPs. Of special importance are the the LFPs that come from subthalamic nucleus (STN) as they are related to the preparation,...Show More

Predicting movement and laterality from Deep Brain Local Field Potentials

Abu Shafin Mohammad Mahdee Jameel;Mike Mace;Shouyan Wang;Ravi Vaidyanathan;Khondaker Abdullah Al Mamun

Year: 2016 | Conference Paper |

Human identification method using time and wavelet domain features based on modified dECG

Shaikh Anowarul Fattah;Celia Shahnaz;Abu Shafin Mohammad Mahdee Jameel;Rajib Goswami

2012 7th International Conference on Electrical and Computer Engineering
Year: 2012 | Conference Paper |
Cited by: Papers (1)
In this paper, an effective method of human identification is proposed based on time-frequency domain features extracted from modified differential electrocardiogram (dECG) signal. In comparison to the ECG data, the discrimination in terms of QRS complex among different persons is more prominent in the dECG signal. It is shown that the use of a modified dECG signal can further enhance the level of...Show More

Human identification method using time and wavelet domain features based on modified dECG

Shaikh Anowarul Fattah;Celia Shahnaz;Abu Shafin Mohammad Mahdee Jameel;Rajib Goswami

Year: 2012 | Conference Paper |

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