University of Dhaka

Hajee Mohammad Danesh Science and Technology University

Govt. M. M. City College, Khulna

Saint Josephs High School, Khulna

February 01, 2020 to Present

February 01, 2014 to January 31, 2020

February 01, 2012 to January 31, 2014

Underwater Acoustic Noise Cancellation Scheme Combining Kalman Filter With Adaptive FxNLMS.

MD. MOSTAFIZUR RAHMAN, SUMONTO SARKER.

Underwater Active Noise Cancellation Combining Kalman Filter with FxLMS.

Rahman Md Mostafizur, Sumonto Sarker, and Md Mehedi Islam. 

Chronic kidney disease prediction using ensemble machine learning.

Raju, M. M. I., Sarker, S., & Islam, M. M.

A Modified IEEE 802.15. 6 MAC Scheme to Enhance Performance of Wireless Body Area Networks in E-health Applications.

Siddik, Md Abubakar, Most Hasi, Anju Ara, Jakia Akter Nitu, Sumonto Sarker, Nasrin Sultana, and Emarn Ali. 

Performance Evaluation of IEEE 802.11 for UAV-based Wireless Sensor Networks in NS-3.

Siddik, Md Abubakar, Md Rajiul Islam, Md Mahafujur Rahman, Zannatul Ferdous, Sumonto Sarker, Most Hasi, Anju Ara, and Jakia Akter Nitu.

IoT Based Smart Irrigation Monitoring & Controlling System in Agriculture.

Md. Mehedi Islam, Md. Al-Momin, A. B. M. Tauhid, Md. Kamal Hossain, Sumonto Sarker.

Design and Implement a Real-Time Detection and Defence Mechanism Against the SYN Flood Attack in Server Client System.

Sumonto Sarker, Kritimoy Bosu, Firdous Bin Ismail, Md. Mahabub Hossain, Md. Mehedi Islam.

Proposed an Algorithm for Preventing IP Spoofing DoS Attack on Neighbor Discovery Protocol of IPv6 in Link Local Network.

Md. Mustafejur Rahman, Md. Mostafizur Rahman, Saif Ibne Reza, Sumonto Sarker, and Md. Mehedi Islam.

EARLY DETECTION OF ALZHEIMER’S DISEASE USING MACHINE LEARNING TECHNIQUES.

Md. Ariful Islam Khan, Saiful Islam, Sanjida Tasnim Shorno, Sumonto Sarker and Md. Abubakar Siddik.

Performance Analysis of Intermediate Band Solar Cell (IBSC).

Md. Kamal Hossain, Md Dulal Haque, Sumonto Sarker, Md. Arshad Ali, Md. Mizanur Rahman, Md. Mahbub Hossain.

Video analysis for 3rd generation (3G) telephony.

Sumonto Sarker, Syeed Anwar, Hasan Ali, Zakirul Ahamed.

A Case Study on Implementation an IPv6 Network over IPv4 using Manually Configured Tunneling.

Sumonto Sarker, Md.Mostofa Chowdhury, Azizul Huq, Nirmal Roy.

Design a Mobile to mobile communication system without internet on Android Framework.

Sumonto Sarker, Rumpa Rani Sarker, Sree Dilip Kumar Adhikari, Md. Bayzid Bostame.

USABILITY AND ACCESSIBILITY ANALYSIS AND EVALUATION OF E-TOURISM SECTOR IN BANGLADESH.

Sumonto Sarker, M Mukaddim Islam, Rimi Rashid.

Simulation and modeling of silicon nanowire field-effect transistors.

Md. Dulal Haque, Md. Mominul Islam, Md. Mahabub Hossain, Sumonto. Sarker.

Proposing an Energy optimized routing protocol for UWASN based on clustering.

Abdur Rob Suzel, Ar. Rafi Jami Islam, Rakibuzzaman Rocky, Sumonto sarker, and Md. Kamal Hossain.

Performance Evaluation of SDN Controllers in Wireless Network.

Saiful Islam, Md. Ariful Islam Khan, Sanjida Tasnim Shorno, Sumonto Sarker and Md. Abubakar Siddik, “

Funded by: Institute of Research and Training (IRT), Hajee Mohammad Danesh Science and Technology University.

Position: Principal Investigator

Description: In recent years, there has been active research interest in the area of underwater acoustic (UWC) communication. Due to the complicated and random nature of the propagation channel, the waveguide nature of the UWC channel results in a failure of the traditional communication technologies in underwater. The inter symbol interference (ISI) in space channel is usually just a few symbol intervals. However, the ISI in the underwater multipath channel is usually dozens, even hundreds of symbol intervals, especially when with the high date rate. Therefore, an equalizer must be applied in an underwater acoustic communication system to eliminate the inter symbol interference (ISI) noise in order to ensure the efficiency of the communication. Kalman Filtering is one of the important techniques for signal enhancing. Also Least-Mean-Squares (LMS) algorithm is a typical technique for adaptive signal processing due to its simplicity and robustness. The performance of the kalman filter is not good enough by itself. Therefore, we will try to integrate the adaptation technique into the kalman filter to obtain higher performance. However, the use of the LMS algorithm as adaptation technique in practical Acoustic-Noise-Cancellation (ANC) applications is complicated by the fact that the anti-noise created by the algorithm introduces frequency and phase distortions into the signal. Normalized LMS is a variant of LMS that updates the step size in proportion to the inverse of the total expected energy of the input buffer, that made it well suited for ANC because it optimizes the speed of convergence. Another variant, FxNLMS (Normalized Filtered Extended Least Mean Squares) combines both FxLMS and NLMS, performs better with less computation. That’s the reason we want to combine FxNLMS with Kalman filter. However, the phase spectrum of a signal from a noisy medium affected most. Therefore, a Phase spectrum compensation (PSC) function is needs to improve the quality of reconstructed signals. So, finally, by utilization of Kalman, FxNLMS and PSC, we expect to improve a noise affected signal, and hope that our work would be a great aid towards underwater signaling sector.

Funded by: Institute of Research and Training (IRT), Hajee Mohammad Danesh Science and Technology University.

Position: Principal Investigator

Description: Advances in acoustic technology and instrumentation currently make it possible to explore marine resources. Therefore, underwater target tracking has aroused wide attention both in military and civil fields. Because of the complexity of the marine environment, numerous techniques have been proposed to obtain better tracking performance. Vision Sensor i.e. Cameras are considered as a more economical solution with richer information compared to other underwater sensors like acoustic sensors in the field of underwater tracking. Cameras have not been at the center of attention as an underwater sensor due to the limited detection ranges and restricted visibility. The use of visual data from cameras, however, is extremely effective in close-range detections. This passive operation of vision makes it also desirable in marine biology applications such as monitoring coral reefs and registering fish populations in particular habitats in the ocean. However, the underwater image is affected by several factors including limited visibility, ambient light, and frequency-dependent scattering and absorption, which make it difficult to directly employ most computer vision methods developed in the terrestrial environment. To overcome the limitations of cameras and to make use of the maximum advantages of image data, many underwater image processing algorithms are proposed, including image enhancement methods based on the non-physical model and image restoration methods based on the physical model. The effect of restoring or enhancing the color balance in underwater images is still not ideal. Therefore, we want to introduce an effective technique to enhance the images, captured underwater that degraded due to the medium scattering and absorption; for better target tracking in high turbidness water.

Funded by: Institute of Research and Training (IRT), Hajee Mohammad Danesh Science and Technology University.

Position: Principal Investigator

Description: The Digital World commonly depends on the information system and data management system. But data processing and maintaining the information is a challenging matter nowadays. The cyber attackers are affecting the systems and banishing the invader is a must for the servers. The most relevant attack is DDOS. These are many kinds of SYN flood is addressed as one of the most dangerous attacks. In the three-way handshaking method, an SYN packet is generated and a received ACK acknowledgment is provided to the corresponding. When the SYN packet is generated continuously from random sources is considered flooding. And it’s known as SYN flood attacks. This paper is constructed with a proposed technique for the betterment of both the detection and defense techniques against it. The detection process is improved by a database added in the server for accepting random flooding for a limited time interval. And the defense algorithm is a developed design operated by scrolling the pending requests from the database and checking the accessibility of the user and stop requesting otherwise. Basically it has two parts in it, one for detecting the attack another for alleviating the deadly flooding and provides a restriction to it.