1 |
A nonlinear double‐integral sliding mode controller design for hybrid energy storage systems and solar photovoltaic units to enhance the power management in DC microgrids |
IET Generation, Transmission & Distribution |
Subarto Kumar Ghosh, Tushar Kanti Roy, Md Abu Hanif Pramanik, Md Apel Mahmud |
2022 |
Journal |
ECE |
Md. Abu Hanif Pramanik |
2 |
Design of an Integral Terminal-Based Sliding Mode Controller for Pv and Bess-Based Dc Microgrids |
NEXUS-D-22-00011 |
Tushar Kanti Roy, Md Abu Hanif Pramanik, Subarto Kumar Ghosh |
2022 |
Journal |
ECE |
Md. Abu Hanif Pramanik |
3 |
An IoT-Based Real-Time Intelligent Irrigation System using Machine Learning |
International Conference on Information & Communication Technology and System, Indonesia |
Saleh Mohammed Shahriar, Hasibul Islam Peyal, Md Nahiduzzaman, Md. Abu Hanif Pramanik |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
4 |
LMI-Based Optimal Linear Quadratic Controller Design for Multiple Solar PV Units Connected to Distribution Networks |
IEEE Texas Power and Energy Conference (TPEC), USA |
Subarto Kumar Ghosh, Tushar Kanti Roy, Md Abu Hanif Pramanik, Md Apel Mahmud |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
5 |
Robust Partial Feedback Linearizing Excitation Controller Design for Higher-Order Synchronous Generator in SMIB Systems to Improve the Transient Stability |
IEEE Texas Power and Energy Conference (TPEC), USA |
Md Abu Hanif Pramanik, Tushar Kanti Roy, Subarto Kumar Ghosh, Md Shamim Anower, Md Apel Mahmud |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
6 |
Design of an Adaptive Sliding Mode Controller for Rapid Earth Fault Current Limiters in Resonant Grounded Distribution Networks to Mitigate Powerline Bushfires |
IEEE Texas Power and Energy Conference (TPEC), USA |
Tushar Kanti Roy, Md Apel Mahmud, Subarto Kumar Ghosh, Md Abu Hanif Pramanik, Rajesh Kumar, Amanullah Maung Than Oo |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
7 |
Partial Feedback Linearizing Backstepping Excitation Controller for a Synchronous Generator in a Simple Power System to Improve the Transient Stability |
2021 IEEE Industry Applications Society Annual Meeting (IAS), Canada |
Md Abu Hanif Pramanik, Tushar Kanti Roy, Md Shamim Anower, Subarto Kumar Ghosh, Md Apel Mahmud |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
8 |
A Robust Linear Optimal State Feedback Controller Design for Excitation Systems of Synchronous Generators in Single Machine Power Systems with Parametric Uncertainties |
2021 IEEE Industry Applications Society Annual Meeting (IAS), Canada |
Subarto Kumar Ghosh, Tushar Kanti Roy, Md Abu Hanif Pramanik, Md Apel Mahmud |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
9 |
Speed Control of a DC-DC Buck Converter Fed DC Motor Using an Adaptive Backstepping Sliding Mode Control Approach |
2021 Australasian Universities Power Engineering Conference, Australia |
Tushar Kanti Roy, Md. Abu Hanif Pramanik, Farjana Faria, Subarto Kumar Ghosh |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
10 |
An Adaptive Sliding Mode Excitation Controller Design for Synchronous Generators |
2021 Australasian Universities Power Engineering Conference, Australia |
Tushar Kanti Roy, Farjana Faria, Subarto Kumar Ghosh, and Md. Abu Hanif Pramanik |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
11 |
Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC–DC Converters Feeding CPLs |
Energies |
Subarto Kumar Ghosh, Tushar Kanti Roy, Md. Abu Hanif Pramanik, Md. Apel Mahmud |
2021 |
Journal |
ECE |
Md. Abu Hanif Pramanik |
12 |
A Backstepping Integral Sliding Mode Controller Design for Partial Feedback Linearized Models of Synchronous Generators in Simple Power Systems to Improve the Transient Stability |
IEEE International Conference on Smart Technologies for Power, Energy and Control, India |
Md Abu Hanif Pramanik, Tushar Kanti Roy, Md Shamim Anower, Subarto Kumar Ghosh, Md Apel Mahmud |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
13 |
A Composite Nonlinear Controller Design to Enhance the Large-Signal Stability of a DC Distribution System with Constant Power Loads |
IEEE International Conference on Smart Technologies for Power, Energy and Control, India |
Subarto Kumar Ghosh, Tushar Kanti Roy, Md Abu Hanif Pramanik, Md Apel Mahmud |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
14 |
Robust Adaptive Sliding Mode Excitation Controller Design with External Disturbances for Synchronous Generators |
IEEE Joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan |
Tushar Kanti Roy, Farjana Faria, Md. Abu Hanif Pramanik, Subarto Kurmar Ghosh |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
15 |
Robust Adaptive Backstepping Sliding Mode Controller for a DC-DC Buck Converter Fed DC Motor |
IEEE joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan |
Tushar Kanti Roy, Farjana Faria, Subarto Kumar Ghosh, Md. Abu Hanif Pramanik |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
16 |
Design of a Fast Power Reaching Law-Based Integral Robust Backstepping Sliding Mode Controller for Grid-Tied PV Systems |
IEEE 6th International Conference on the Developments in Renewable Energy Technology, Dhaka |
Tushar Kanti Roy, Farjana Akther, Subarto Kumar Ghosh, and Md. Abu Hanif Pramanik |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
17 |
Design of a Double Integral Sliding Mode Controller for DC-DC Boost Converters in Applications for Fuel Cells |
International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, RU |
Hasibul Islam Peyal, Md Abu Hanif Pramanik, Subarto Kumar Ghosh, Tushar Kanti Roy |
2021 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
18 |
Integral Adaptive Controller Design for Single-Phase-Grid-Connected Solar PV Systems with Output LCL Filters |
IEEE International Conference on Electrical and Computer Engineering (ICECE 2020) |
Tushar Kanti Roy, Subarto Kumar Ghosh, Md Abu Hanif Pramanik, and Md. Shamim Anower |
2020 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
19 |
An Advanced Excitation Control Scheme for Synchronous Generators in an SMIB System Based on Detailed Dynamical Models |
IEEE International Conference on Power Electronics, Drives, and Energy Systems (PEDES 2020), India |
Md Abu Hanif Pramanik, Tushar Kanti Roy, Subarto Kumar Ghosh, Md. Shamim Anower, and Md. Apel Mahmud |
2020 |
Conference |
ECE |
Md. Abu Hanif Pramanik |
20 |
Energy management techniques to enhance DC-bus voltage transient stability and power balancing issues for islanded DC microgrids |
Elsevier-Advances in Clean Energy Technologies |
Subarto KumarGhosha, Tushar Kanti Roy, Md. Abu Hanif Pramanik, and Md. Sawkat Ali |
2020 |
Book Chapter |
ECE |
Md. Abu Hanif Pramanik |
21 |
An Energy Management System-Based Control Strategy for DC Microgrids with Dual Energy Storage Systems |
Energies |
Subarto Kumar Ghosh, Tushar Kanti Roy, Md. Abu Hanif Pramanik, Ajay Krishno Sarkar, and Md. Apel Mahmud |
2020 |
Journal |
ECE |
Md. Abu Hanif Pramanik |
22 |
Cyclic Mining of Alarm and Operator Action Events for Enhanced Process Operation |
Control Engineering Practice (Elsevier) |
M. H. Rahaman, H. S. Alinezhad, A.W. Dabbagh, T. Chen |
2024 |
Journal |
ECE |
Md. Habibur Rahaman |
23 |
Identification of Most Critical Alarms for Alarm Flood Reduction |
IFAC Conference (Elsevier) |
M. H. Rahaman, H. S. Alinezhad, T. Chen |
2024 |
Conference |
ECE |
Md. Habibur Rahaman |
24 |
Advancements in Real-time Monitoring, and Fault Diagnosis Systems |
IEEE Transaction |
M. H. Rahaman, H. S. Alinezhad, T. Chen |
2024 |
Journal |
ECE |
Md. Habibur Rahaman |
25 |
A Machine Learning-Based Decision Support Framework for Industrial Alarm Flood Management |
IEEE Conference |
M. H. Rahaman, M.R. Parvez, T. Chen |
2024 |
Conference |
ECE |
Md. Habibur Rahaman |
26 |
Techno-economic Optimization of a Zero Emission Energy System for a Coastal Community at Newfoundland, Canada |
Energy-Elsevier |
S. Islam, B. Kumar, P. Das, H. Rahaman |
2020 |
Journal |
ECE |
Md. Habibur Rahaman |
27 |
Electric Power Load Forecasting Based on Multivariate LSTM Neural Network Using Bayesian Optimization |
2020 IEEE Electrical and Power Engineering Conference (EPEC), Canada, An IEEE PES Conference |
Munem, Rubayet, Mehedi, Shahriar, Tasnim and Habibur Rahaman |
2020 |
Conference |
ECE |
Md. Habibur Rahaman |
28 |
A Novel Smart Gas Stove with Gas Leakage Detection and Multistage Prevention System Using IoT LoRa Technology |
2020 IEEE Electrical and Power Engineering Conference (EPEC), Canada, An IEEE PES Conference |
Rakib, Matin, Saifullah, Fahim, Habibur Rahaman, Tonmoy |
2020 |
Conference |
ECE |
Md. Habibur Rahaman |
29 |
Breast Cancer Detection using Deep Neural Network |
The 23rd IEEE International Conference on Computer and Information Technology(ICCIT2020), Dhaka, Bangladesh. |
M. O. F. Goni, F. M.S. Hasnain, M.A.I Siddique, O. Jyoti and M. H. Rahaman |
2020 |
Conference |
ECE |
Md. Habibur Rahaman |
30 |
Design of Renewable Energy System for a House in St. John’s, Canada |
European Journal of Electrical Engineering & Computer Science |
U. G. Khadodra, Habibur Rahaman, M. jamil |
2020 |
Journal |
ECE |
Md. Habibur Rahaman |
31 |
Bayesian Optimization Based ANN Model for Short Term Wind Speed Forecasting in Newfoundland, Canada |
2020 IEEE Electrical and Power Engineering Conference (EPEC), Canada, An IEEE PES Conference |
Habibur, Rubaith, Munem, Hasib, Hasan, Arifin |
2020 |
Conference |
ECE |
Md. Habibur Rahaman |
32 |
A Remote Thermostat Control and Temperature Monitoring System of a Single-Family House using openHAB and MQTT |
European Journal of Electrical Engineering & Computer Science |
Habibur Rahman, Dr. Tariq Iqbal |
2020 |
Journal |
ECE |
Md. Habibur Rahaman |
33 |
Sizing, Modeling and Analysis of a Solar Sessional Energy Storage System for Space Heating in Newfoundland |
27th CSME-CFDSD International Congress 2019, Ontario, Canada. |
Rabbani Rasha, Habibur Rahman, Dr. Tariq Iqbal |
2019 |
Conference |
ECE |
Md. Habibur Rahaman |
34 |
Design and Analysis of a Solar Water Heating System for a Detached House in Newfoundland |
IEEE CCECE, 2019, Alberta, Canada. |
Habibur Rahman, Rabbani Rasha, Dr. Tariq Iqbal |
2019 |
Conference |
ECE |
Md. Habibur Rahaman |
35 |
A Comparison of Solar PV and Solar Thermal System for Domestic Water and Space Heating in a Residential House |
European Journal of Engineering Research and Science, Belgium |
Habibur Rahman, Dr. Tariq Iqbal |
2019 |
Journal |
ECE |
Md. Habibur Rahaman |
36 |
Load analysis of RUET, ECE building and design of a rooftop PV system to meet all its energy needs |
IEEE NECEC-2019 Conference, NL, Canada |
Habibur Rahman, Dr. Tariq Iqbal |
2019 |
Conference |
ECE |
Md. Habibur Rahaman |
37 |
Coordinated Operation of Interconnected Microgrid and Energy Storage System |
Int. Journal of Electrical & Computer Engineering (IJECE), Indonesia |
Asaduz-Zaman, Habibur Rahman |
2018 |
Journal |
ECE |
Md. Habibur Rahaman |
38 |
A Method for Distributed Generator Dispatch Strategy in Distribution Network |
Journal of Electrical Engineering, USA |
Asaduz-Zaman, Habibur Rahaman et al. |
2018 |
Journal |
ECE |
Md. Habibur Rahaman |
39 |
Optimum Economic Scheduling Strategy of Islanded Multi-Microgrid |
Journal of World's Electrical Engineering and Technology, Turkey |
Asaduz-Zaman, Habibur Rahman |
2018 |
Journal |
ECE |
Md. Habibur Rahaman |
40 |
Design a phase-shifted multi-pulse AC-DC power converter |
IEEE I2CT Conference, Mumbai, India |
Habibur Rahman, Dr. MRI Sheikh |
2018 |
Conference |
ECE |
Md. Habibur Rahaman |
41 |
Multi-pulse over-modulation AC-DC power converter design for medium voltage |
European Journal of Engineering and Technology, UK |
Habibur Rahman, Dr. MRI Sheikh, Rezwan Shawon |
2018 |
Journal |
ECE |
Md. Habibur Rahaman |
42 |
A Review of Multi-pulse AC-DC Power Converter |
IEEE ICEEE 2017 conference, RUET, Bangladesh |
Habibur Rahman, Dr. MRI Sheikh |
2017 |
Conference |
ECE |
Md. Habibur Rahaman |
43 |
Stability Improvement of Simultaneous AC-DC Power Transmission System |
IEEE ICECTE-2016 Conference, RUET, Bangladesh |
Habibur Rahman, Dr. MRI Sheikh |
2016 |
Conference |
ECE |
Md. Habibur Rahaman |
44 |
Stability Improvement of Power System By Using SVC With PI And PD Controller |
David Publishing Academy-Journal of Computer Technology & Application |
Habibur Rahman, Dr. MRI Sheikh, Harun |
2013 |
Journal |
ECE |
Md. Habibur Rahaman |
45 |
On-Line Voltage Level Improvement of Power System By Using Static VAR Compensator And PSS |
Int. J. of System & Simulation |
Habibur Rahman, Dr. Fayzur Rahman, Harun |
2012 |
Journal |
ECE |
Md. Habibur Rahaman |
46 |
Power System Stability Improvement by Using FACTS With Controllers |
Lambert Academic Publishing, Germany. |
Habibur Rahman, Dr. MRI Sheikh, Harun Or Rashid |
2012 |
Journal |
ECE |
Md. Habibur Rahaman |
47 |
Human Gait Analysis using Gait Energy Image |
arXiv preprint |
Sagor Chandro Bakchy |
2022 |
Journal |
ECE |
Sagor Chandro Bakchy |
48 |
An intense investigation on deep and traditional machine learning approaches for better sentiment classification |
ACMI |
Mahammed Kamruzzaman, Sagor Chandro Bakchy, Tonmoy Hasan, Md Minul Islam Shovon, Mohammed Hossain |
2021 |
Conference |
ECE |
Sagor Chandro Bakchy |
49 |
A Comparative Analysis of Sentiment Classification Based on Deep and Traditional Ensemble Machine Learning Models |
ICSCT |
Mahammed Kamruzzaman, Mohammed Hossain, Md Rashidul Islam Imran, Sagor Chandro Bakchy |
2021 |
Conference |
ECE |
Sagor Chandro Bakchy |
50 |
Crime Detection Using Data Mining Techniques |
CSEIJ |
Md. Rony, Sagor Chandro Bakchy, and Hadisur Rahman. |
2020 |
Journal |
ECE |
Sagor Chandro Bakchy |
51 |
Prediction of road accident and severity of bangladesh applying machine learning techniques” |
R10HTC |
Joy Paul, Zerin Jahan, Kazi Fahim Lateef, Md Robiul Islam, Sagor Chandro Bakchy, |
2020 |
Conference |
ECE |
Sagor Chandro Bakchy |
52 |
Limbs and Muscle Movement Detection using Gait Analysis |
IC4ME2 |
Sagor Chandro Bakchy, Nazrul Islam Mondal, and Mst. Jannatul Ferdous |
2018 |
Conference |
ECE |
Sagor Chandro Bakchy |
53 |
Human Gait Analysis using Gait Energy Image |
IC4ME2 |
Sagor Chandro Bakchy, Md. Rabiul Islam, M. Rasel Mahmud and Faisal Imaran |
2017 |
Conference |
ECE |
Sagor Chandro Bakchy |
54 |
Facial Expression Detection using Back-propagation Neural Network |
ICEEE |
Sagor Chandro Bakchy, Md. Meraj Ali and M. Rasel Mahmud |
2017 |
Conference |
ECE |
Sagor Chandro Bakchy |
55 |
Human identification on the basis of gait analysis using Kohonen self-organizing mapping technique |
ICECTE |
Sagor Chandro Bakchy, Md. Rabiul Islam and Abu Sayeed |
2016 |
Conference |
ECE |
Sagor Chandro Bakchy |
56 |
Local Contrast Based Thresholding for Document Binarization |
International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2018, Dhaka, Bangladesh |
Mohammad Kamrul Hasan, Orvila Sarker ,Md. Mujibur Rahman Majumder, Abdul Matin |
2018 |
Conference |
ECE |
Abdul Matin |
57 |
Automatic System for Detecting Invasive Ductal Carcinoma Using Convolutional Neural Network |
Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference 28-31 October 2018, Jeju, Korea |
Md. Jamil-Ur Rahman, Rafi Sultan ,Firoz Mahmud,Sazid Al Ahsan Abdul Matin |
2018 |
Conference |
ECE |
Abdul Matin |
58 |
Weighted Score Level Fusion of Iris and Face to Identify an Individual |
International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox’s Bazar, Bangladesh |
Abdul Matin, Firoz Mahmud , Tanvir Ahmed , Md Sabbir Ejaz |
2017 |
Conference |
ECE |
Abdul Matin |
59 |
Performance Comparison of Partition Based Clustering Algorithms on Iris Image Preprocessing |
Electronic Engineering (ICEEE), 19-21 December 2017, RUET, Rajshahi, Bangladesh |
Md. Sabbir Ejaz, Dr. Md. Ali Hossain ,Abdul Matin, Md. Tanvir Ahmed |
2017 |
Conference |
ECE |
Abdul Matin |
60 |
Recognition of an Individual using the Unique Features of Human Face |
2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) 19-21 December 2016, AISSMS, Pune, India |
Abdul Matin, Firoz Mahmud, Mosst Tasnim Binte Shawkat |
2016 |
Conference |
ECE |
Abdul Matin |
61 |
Human Iris as a Biometric for Identity Verification |
2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) 8-10 December 2016, Rajshahi-6204, Bangladesh |
Abdul Matin, Firoz Mahmud, Syed Tauhid Zuhori, Barshon Sen |
2015 |
Conference |
ECE |
Abdul Matin |
62 |
PCA and Back Propagation Neural Network Based Face Recognition System |
18thInternational Conference on Computer and Information Technology (ICCIT), 2015 |
Firoz Mahmud, Shyla Afroge ,Md. Al Mamun,Abdul Matin |
2015 |
Conference |
ECE |
Abdul Matin |
63 |
SPR biosensor using SnSe-phosphorene heterostructure |
Elsevier (Sensing and Bio-Sensing Research) |
KA Rikta, MS Anower, M Saifur Rahman, M Mahabubur Rahman |
2021 |
Journal |
ECE |
Md. Mahabubur Rahman |
64 |
A highly sensitive surface plasmon resonance biosensor using SnSe allotrope and heterostructure of BlueP/MoS2 for cancerous cell detection |
Elsevier (Optik) |
Belal Hossain, Alok Kumar Paul, Md. Arefin Islam, Md. Mahabubur Rahman, Ajay Krishno Sarkar, Lway Faisal Abdul Razak |
2021 |
Journal |
ECE |
Md. Mahabubur Rahman |
65 |
Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study |
IEEE (IEEE Access) |
N Jahan, Md M Rahman, Mominul Ahsan, Md Abdul Based, Md Masud Rana, Saravanakumar Gurusamy, Julfikar Haider |
2021 |
Journal |
ECE |
Md. Mahabubur Rahman |
66 |
Twin core photonic crystal fiber refractive index sensor for early detection of blood cancer |
Elsevier (Sensing and Bio-Sensing Research) |
Md Aslam Mollah, Md Yousufali, Istihad Mahmud Ankan, Md Mahabubur Rahman, Hasan Sarker, Kisalaya Chakrabarti |
2020 |
Journal |
ECE |
Md. Mahabubur Rahman |
67 |
High sensitivity property of dual-core photonic crystal fiber temperature sensor based on surface plasmon resonance |
Elsevier (Sensing and Bio-Sensing Research) |
Abu Bakar Siddik, Selim Hossain, Alok Kumar Paul, Mahabubur Rahman, Aslam Mollah |
2020 |
Journal |
ECE |
Md. Mahabubur Rahman |
68 |
Design and analysis of photonic crystal fiber-based plasmonic microbiosensor: an external sensing scheme |
Springer International Publishing |
Md Mahabubur Rahman, Md Masud Rana, MS Anower, M Saifur Rahman, Alok Kumar Paul |
2020 |
Journal |
ECE |
Md. Mahabubur Rahman |
69 |
Sensitivity enhancement of SPR biosensors employing heterostructure of PtSe2 and 2D materials |
Elsevier (Optical Materials) |
Md Mahabubur Rahman, Md Masud Rana, Md Saifur Rahman, MS Anower, Md Aslam Mollah, Alok Kumar Paul |
2020 |
Journal |
ECE |
Md. Mahabubur Rahman |
70 |
Hybrid Heterostructures for SPR Biosensor |
IntechOpen |
Md. Shamim Anower, Md. Mahabubur Rahman, M Saifur Rahman |
2020 |
Book Chapter |
ECE |
Md. Mahabubur Rahman |
71 |
Numerical investigation of a highly sensitive plasmonic refractive index sensor utilizing hexagonal lattice of photonic crystal fiber |
Elsevier (Results in Physics ) |
Md. Mahabubur Rahman, Md. Aslam Mollah, Alok Kumar Paul, Md. A. Based, Md.Masud Rana, M.S.Anower |
2020 |
Journal |
ECE |
Md. Mahabubur Rahman |
72 |
Promising SPR Biosensors Applying 2D Materials with α‒SnSe Allotrope for Sensing Applications |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Mahabubur Rahman, M.Saifur Rahman, K. Akter Rikta, Md. Masud Rana, Md. Shamim Anower, Alok Kumar Paul |
2020 |
Conference |
ECE |
Md. Mahabubur Rahman |
73 |
An SPR-based optical biosensor with shared plasmonic materials and optimized graphene layer: An angular interrogation approach |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Mahabubur Rahman, Md. Masud Rana, Md. Shamim Anower, Nazmus Sakib, Kisalaya Chakrabatri, Alok Kumar Paul |
2020 |
Conference |
ECE |
Md. Mahabubur Rahman |
74 |
Design and Analysis of Plasmonic Temperature Sensor Utilizing Photonic Crystal Fiber |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Kamrul Hasan, Md. Mahabubur Rahman, Md. Shamim Anower, Md. Masud Rana, Alok Kumar Paul, Kisalaya Chakrabatri |
2020 |
Conference |
ECE |
Md. Mahabubur Rahman |
75 |
Design and Evaluation of Liquid Filled PCF Temperature Sensor Based on SPR |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Abu Bakar Siddik, Md. Selim Hossain, comAlok Kumar Paul, Md. Mahabubur Rahman, Md. Hassanul Karim Roni, Kisalaya Chakrabatri |
2020 |
Conference |
ECE |
Md. Mahabubur Rahman |
76 |
Finite Element Method Based Design and Analysis of Internal Coated and External Coated PCF Temperature Sensor |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Abu Bakar Siddik, Md. Selim Hossain, comAlok Kumar Paul, Md. Mahabubur Rahman, Md. Hassanul Karim Roni, Kisalaya Chakrabatri |
2020 |
Conference |
ECE |
Md. Mahabubur Rahman |
77 |
Secrecy Performance Analysis of Mixed Hyper-Gamma and Gamma-Gamma Cooperative Relaying System |
IEEE Access |
Noor Ahmad Sarker, A. S. M. Badrudduza, S.M. Riazul Islam, Sheikh Habibul Islam, IMRAN SHAFIQUE ANSARI, Milton Kumar Kundu, MST. FATEHA SAMAD, Md. Biplob Hossain, Heejung Yu |
2020 |
Journal |
ECE |
Milton Kumar Kundu |
78 |
Enhancing security in multicasting through correlated Nakagami-m fading channels with opportunistic relaying |
Physical Communication, Elsevier |
A. S. M. Badrudduza, M. Z. I. Sarkar, and M. K. Kundu |
2020 |
Journal |
ECE |
Milton Kumar Kundu |
79 |
On Secrecy Performance of Mixed Generalized Gamma and Málaga RF-FSO Variable Gain Relaying Channel |
IEEE Access |
Sheikh Habibul Islam, ASM Badrudduza, SM Riazul Islam, Fardin Ibne Shahid, Imran Shafique Ansari, Milton Kumar Kundu, Subarto Kumar Ghosh, Md Biplob Hossain, ASM Sanwar Hosen, Gi Hwan Cho |
2020 |
Journal |
ECE |
Milton Kumar Kundu |
80 |
Recognition of Handwritten Bangla Number Using Multi Layer Convolutional Neural Network |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Minul Islam Shovon, Mahammed Kamruzzaman, Milton Kumar Kundu |
2020 |
Conference |
ECE |
Milton Kumar Kundu |
81 |
Secrecy Performance Analysis over Inverse Gamma Composite Multicast Fading Channels |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Abu Hanif. A. S. M. Badrudduza, Md. Shakhawat Hossen, Milton Kumar Kundu, Md. Zahurul Islam Sarkar Sarkar |
2020 |
Conference |
ECE |
Milton Kumar Kundu |
82 |
Multicast Security at the Physical Layer over Hyper Gamma Fading Channel |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Zerin Nusrat, Milton Kumar Kundu, Sanjeeda Afrose Priya, A. S. M. Badrudduza, Md. Zahurul Islam Sarkar |
2020 |
Conference |
ECE |
Milton Kumar Kundu |
83 |
Secrecy Performance of Multicasting over Shadowed Rician Fading Channel |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Shakhawat Hossen, A. S. M. Badrudduza, Abu Hanif, Milton Kumar Kundu, Md. Zahurul Islam Sarkar |
2020 |
Conference |
ECE |
Milton Kumar Kundu |
84 |
Secure Wireless Multicasting over α-η-µ Fading Channel |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Sanjeeda Afrose Priya, Milton Kumar Kundu, Zerin Nusrat, A. S. M. Badrudduza, Md. Zahurul Islam Sarkar |
2020 |
Conference |
ECE |
Milton Kumar Kundu |
85 |
Impact of Correlation on the Security in Multicasting through κ − µ Shadowed Fading Channels |
IEEE TENSYMP (2020 IEEE Region 10 Symposium) |
Md. Ibrahim, Md. Zahurul Islam Sarkar, A. S. M. Badrudduza, Milton Kumar Kundu, Shithi Dev |
2020 |
Conference |
ECE |
Milton Kumar Kundu |
86 |
Performance Analysis of Multicasting Over Rician-K Fading Channels: A Secrecy Tradeoff |
2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) |
A. S. M. Badrudduza, M. K. Kundu, M. Z. I. Sarkar, and D. K. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
87 |
Enhancing Wireless Security Over Weibull Fading Multicast Channel |
2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) |
M. Z. Iqbal, A. S. M. Nafis, A. S. M. Badrudduza, M. K. Kundu, and M. Z. I. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
88 |
Enhancement of Physical Layer Security over Generalized Nakagami-m Fading Multicast Channel |
4th International Conference on Electrical Information and Communication Technology (EICT 2019) |
S. Shabab, A. S. M. Badrudduza, and M. K. Kundu |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
89 |
Protection of Multicast Channels Against Multiple Eavesdroppers: A Secrecy Tradeoff |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
A. S. M. Badrudduza, M. Z. I. Sarkar, and M. K. Kundu |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
90 |
Performance Comparison of Opportunistic Relaying in Nakagami-m and Rician-k Fading Channels Focusing on Wireless Security |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
S. Shabab, E. A. Ritu, M. Z. I. Sarkar, A. S. M. Badrudduza, and M. K. Kundu |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
91 |
Secure Outage Performance Analysis of Multicasting Through α − µ Fading Channel |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
A. Hanif, A. S. M. Badrudduza, M. S. Hossen, M. K. Kundu, and M. Z. I. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
92 |
Security Analysis in Correlated Nakagami-m Fading Channels with Diversity Combining |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
M. L. Akter, M. I. Rumman, M. K. Kundu, M. Z. I. Sarkar, and A. S. M. Badrudduza |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
93 |
Performance Analysis of Multiple Branch κ–µ Fading Wireless Channel” in 3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
A. S. M. Nafis, A. S. M. Badrudduza, M. Z. Iqbal, M. K. Kundu, and M. Z. I. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
94 |
Secure Wireless Multicasting Over Generalized Gamma Fading Channels |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
S. M. S. Shahriyer, A. S. M. Badrudduza, M. A. A. Masrur, M. K. Kundu, and M. Z. I. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
95 |
Enhancement of Secrecy Multicast Capacity over κ-µ Shadowed Fading Channel |
2019 IEEE International Conference on Telecommunications and Photonics (ICTP) |
A. S. M. Badrudduza, S. M. S. Shahriyer, M. K. Kundu, and S. Shabab |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
96 |
Enhancing Security in Wireless Multicasting over κ − µ Fading Channel |
22nd International Conference on Computer and Information Technology (ICCIT2019) |
A. S. M. Badrudduza, and M. K. Kundu |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
97 |
Security Against Multiple Eavesdroppers for Multicasting Over Nakagami-q Fading Channel |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
A. S. Sumona, M. K. Kundu, A. S. M. Badrudduza, and M. Z. I. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
98 |
Information-Theoretic Security in Hyper Gamma Fading Channel |
3rd International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE 2019) |
Z. Nusrat, M. K. Kundu, A. S. M. Badrudduza, and M. Z. I. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
99 |
Secure Wireless Multicasting with Mixture Gamma Distribution for Generalized-K Fading Channels |
2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) |
M. K. Kundu , A. S. M. Badrudduza, M. Z. I. Sarkar, and D. K. Sarkar |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
100 |
Analysis of Secrecy Performance over Correlated η-μ Fading Channels |
IEEE International Conference on Signal Processing, Information, Communication and Systems 2019 (SPICSCON) |
M. K. Kundu , A. S. Sumona, A. S. M. Badrudduza, and S. Shabab |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
101 |
Information Theoretic Security over α-µ / α-µ Composite Multipath Fading Channel |
2019 IEEE International Conference on Telecommunications and Photonics (ICTP) |
M. K. Kundu, S. Shabab, and A. S. M. Badrudduza |
2019 |
Conference |
ECE |
Milton Kumar Kundu |
102 |
Thermal conduction in graphene thin films considering different materials of various shapes |
2017 International Conference on Electrical, Computer and Communication Engineering (ECCE) |
Tushar Sarkar, Milton Kumar Kundu, MAA Azmain, MAG Khan |
2017 |
Conference |
ECE |
Milton Kumar Kundu |
103 |
Modified architecture of multilayer graphene as highly efficient heat spreader |
2017 International Conference on Electrical, Computer and Communication Engineering (ECCE) |
MAA Azmain, Milton Kumar Kundu, Tushar Sarkar, MAG Khan |
2017 |
Conference |
ECE |
Milton Kumar Kundu |
104 |
Grid-Connected Generating Unit with an Efficient Stabilization Mechanism |
International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) 2024 |
Bushra Farzin and Fariya Tabassum |
2024 |
Conference |
ECE |
Fariya Tabassum |
105 |
Secured energy data transaction for prosumers under diverse cyberattack scenarios |
Sustainable Energy, Grids and Networks |
Fariya Tabassum, Md Rashidul Islam, M Imran Azim, MA Rahman, Md Omer Faruque, Sk A Shezan, MJ Hossain |
2024 |
Journal |
ECE |
Fariya Tabassum |
106 |
Optimal Fractional Order Control of Virtual Inertia Emulator for a Microgrid with High Renewable Energy Penetration |
ICDRET 2024 |
Md. Mahmudul Hasan, Md. Sohanur Rahman, M. S. Rana and Fariya Tabassum |
2024 |
Conference |
ECE |
Fariya Tabassum |
107 |
Optimal Switching Oscillation Damper of SiCMOSFET |
2023 4th IEEE Global Conference for Advancement in Technology (GCAT) Bangalore, India. Oct 6-8, 2023 |
Md. Sajedul Islam and Fariya Tabassum |
2023 |
Conference |
ECE |
Fariya Tabassum |
108 |
Machine Learning Based Effective Approach for DNA Pattern Recognition |
2023 26th International Conference on Computer and Information Technology (ICCIT) |
Md. Rokibul Hasan, Fariya Tabassum and Zakia Afrin |
2023 |
Conference |
ECE |
Fariya Tabassum |
109 |
YOLOv8 Based Object Detection for Self-driving Cars |
2023 26th International Conference on Computer and Information Technology (ICCIT) |
Zakia Afrin, Fariya Tabassum, Hafsa Binte Kibria, Rafi Imam and Md. Rokibul Hasan |
2023 |
Conference |
ECE |
Fariya Tabassum |
110 |
Optimizing the initial weights of a PID neural network controller for voltage stabilization of microgrids using a PEO-GA algorithm |
Applied Soft Computing |
Md Mahmudul Hasan, MS Rana, Fariya Tabassum, HR Pota, Md Hassanul Karim Roni |
2023 |
Journal |
ECE |
Fariya Tabassum |
111 |
Design a Robust Control Platform for Grid Connected Synchronous Generator |
Lecture Notes in Electrical Engineering, Springer Nature Singapore |
Fariya Tabassum, Md Shajid Hussain, MS Rana |
2022 |
Book Chapter |
ECE |
Fariya Tabassum |
112 |
Robust Control of Frequency for Multi-Area Power System |
2020 IEEE Region 10 Symposium (TENSYMP) |
Fariya Tabassum, MS Rana |
2020 |
Conference |
ECE |
Fariya Tabassum |
113 |
Robust Control of Terminal Voltage of an Isolated Electric Power Generating Unit |
1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) (pp. 1-5). IEEE. |
Fariya Tabassum and M. S. Rana |
2019 |
Conference |
ECE |
Fariya Tabassum |
114 |
Compensation of Frequency Fluctuation in a Single Area Power System Using LQR-VC |
1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) (pp. 1-5). IEEE. |
Fariya Tabassum and M. S. Rana |
2019 |
Conference |
ECE |
Fariya Tabassum |
115 |
Design an Optimal LQG Control for Maintaining Nominal Frequency of a Single Area Power System |
International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) (pp. 1-4). IEEE. |
Fariya Tabassum and M. S. Rana |
2019 |
Conference |
ECE |
Fariya Tabassum |
116 |
An Optimal LQG-DC Control for Compensating Voltage Fluctuation in a Single Area Power System |
International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) (pp. 1-4). IEEE |
Fariya Tabassum and M. S. Rana |
2019 |
Conference |
ECE |
Fariya Tabassum |
117 |
Terminal Voltage Control of Multi-area Power Systems Using Optimal Control Approach |
5th International Conference on Advances in Electrical Engineering (ICAEE) (pp. 496-501). IEEE |
Fariya Tabassum and M. S. Rana |
2019 |
Conference |
ECE |
Fariya Tabassum |
118 |
Minimization of output fluctuations of wind farm integrated hybrid power system using new pitch controller |
2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) (pp. 1-4). IEEE. |
Fariya Tabassum, M. R. I. Sheikh and M. Hasanuzzaman |
2016 |
Conference |
ECE |
Fariya Tabassum |
119 |
Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator |
IEEE Access |
Md Omaer Faruq Goni, Md Nazrul Islam Mondal, SM Riazul Islam, Md Nahiduzzaman, Md Robiul Islam, Md Shamim Anower, Kyung-Sup Kwak |
2023 |
Journal |
ECE |
Md. Robiul Islam |
120 |
Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine |
e-Prime-Advances in Electrical Engineering, Electronics and Energy |
Md Omaer Faruq Goni, Md Nahiduzzaman, Md Shamim Anower, Md Mahabubur Rahman, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Mohammad Shahjalal |
2023 |
Journal |
ECE |
Md. Robiul Islam |
121 |
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture |
Biocybernetics and Biomedical Engineering |
Md Nahiduzzaman, Md Omaer Faruq Goni, Md Robiul Islam, Abu Sayeed, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
2023 |
Journal |
ECE |
Md. Robiul Islam |
122 |
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19 |
Expert Systems with Applications |
Md Nahiduzzaman, Md Omaer Faruq Goni, Rakibul Hassan, Md Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
2023 |
Journal |
ECE |
Md. Robiul Islam |
123 |
Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification |
Technologies |
Ovi Sarkar, Md Robiul Islam, Md Khalid Syfullah, Md Tohidul Islam, Md Faysal Ahamed, Mominul Ahsan, Julfikar Haider |
2023 |
Journal |
ECE |
Md. Robiul Islam |
124 |
A review on brain tumor segmentation based on deep learning methods with federated learning techniques |
Computerized Medical Imaging and Graphics |
Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider |
2023 |
Journal |
ECE |
Md. Robiul Islam |
125 |
Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework |
Springer Nature |
Md Faysal Ahamed, Md Robiul Islam, Tahmim Hossain, Khalid Syfullah, Ovi Sarkar |
2023 |
Book Chapter |
ECE |
Md. Robiul Islam |
126 |
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier |
Expert Systems with Applications |
Md Nahiduzzaman, Md Robiul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
2023 |
Journal |
ECE |
Md. Robiul Islam |
127 |
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images |
MDPI (Sensors) |
Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan and Julfikar Haider |
2022 |
Journal |
ECE |
Md. Robiul Islam |
128 |
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach |
ELSEVIER (Expert Systems with Applications) |
Md Robiul Islam; Md Nahiduzzaman |
2022 |
Journal |
ECE |
Md. Robiul Islam |
129 |
An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray Employing Convolutional Neural Architecture |
IEEE |
Ovi Sarkar, Md Robiul Islam, Tahmim Hossain, Md Khalid Syfullah, Md Tohidul Islam, Md Moniruzzaman |
2022 |
Conference |
ECE |
Md. Robiul Islam |
130 |
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images |
ELSEVIER (Computers in Biology and Medicine) |
Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzamana, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
2022 |
Journal |
ECE |
Md. Robiul Islam |
131 |
A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images |
IEEE (IEEE Access) |
Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md Rakibul Islam |
2021 |
Journal |
ECE |
Md. Robiul Islam |
132 |
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm |
IEEE (IEEE Access) |
Md Nahiduzzaman, Md Robiul Islam, SM Riazul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Kyung-Sup Kwak |
2021 |
Journal |
ECE |
Md. Robiul Islam |
133 |
An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM |
IEEE (INCET) |
Ovi Sarkar, Md Faysal Ahamed, Tahsin Tasnia Khan, Moloy Kumar Ghosh, Md Robiul Islam |
2021 |
Conference |
ECE |
Md. Robiul Islam |
134 |
Transfer Learning Approach for Diabetic Retinopathy Detection using Efficient Network with 2 Phase Training |
IEEE (6th International Conference for Convergence in Technology (I2CT)) |
Pallab Chowdhury, Md Robiul Islam, Md Abdul Based, Pulok Chowdhury |
2021 |
Conference |
ECE |
Md. Robiul Islam |
135 |
Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network |
IJISRT |
Md Robiul Islam, Md Nahid Hasan, Md Nahiduzzaman |
2021 |
Journal |
ECE |
Md. Robiul Islam |
136 |
Transfer Learning based Diabetic Retinopathy Detection with a Novel Preprocessed Layer |
IEEE (2020 IEEE Region 10 Symposium (TENSYMP)) |
Md Robiul Islam, Md Al Mehedi Hasan, Abu Sayeed |
2020 |
Conference |
ECE |
Md. Robiul Islam |
137 |
Prediction of Road Accident and Severity of Bangladesh Applying Machine Learning Techniques |
IEEE (2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)) |
Joy Paul, Zerin Jahan, Kazi Fahim Lateef, Md Robiul Islam, Sagor Chandro Bakchy |
2020 |
Conference |
ECE |
Md. Robiul Islam |
138 |
Autism Spectrum Disorder Prognosis Using Machine Learning Algorithms: A Comparative Study |
International Conference on Intelligent Computing & Optimization |
Oishi Jyoti, Nazmin Islam, Md Omaer Faruq, Md Abu Ismail Siddique, Md Habibur Rahaman |
2020 |
Book |
ECE |
Oishi Jyoti |
139 |
Prediction of Hepatitis Disease Using Effective Deep Neural Network |
2020 IEEE International Conference for Innovation in Technology (INOCON) |
Oishi Jyoti, Nazmin Islam, Fahim MD Sifnatul Hasnain |
2020 |
Conference |
ECE |
Oishi Jyoti |
140 |
Breast Cancer Detection using Deep Neural Network |
2020 23rd International Conference on Computer and Information Technology (ICCIT) |
Md Omaer Faruq Goni, Fahim Md Sifnatul Hasnain, Md Abu Ismail Siddique, Oishi Jyoti, Md Habibur Rahaman |
2020 |
Conference |
ECE |
Oishi Jyoti |
141 |
Graduate Admission Chance Prediction Using Deep Neural Network |
2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) |
Md Omaer Faruq Goni, Abdul Matin, Tonmoy Hasan, Md Abu Ismail Siddique, Oishi Jyoti, Fahim MD Sifnatul Hasnain |
2020 |
Conference |
ECE |
Oishi Jyoti |
142 |
Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach |
Computers and Electrical Engineering |
Amith Khandakar, Azad Ashraf, Mohamed Arselene Ayari, Amin Esmaeili, Mohannad Aljarrah, Philips Michael, Md Nahiduzzaman, Hafsa Binte Kibria, Vasiliki Maria Gerokosta, Abdul Ahad Shehbaz, Maryam Abdulla RA Al-Mansoori, Farah Khattab |
2025 |
Journal |
ECE |
Hafsa Binte Kibria |
143 |
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images |
Scientific Reports |
Md Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, Amith Khandakar, Mohamed Arselene Ayari, Md Faysal Ahamed, Mominul Ahsan, Julfikar Haider, Mohammad Ali Moni, Marcin Kowalski |
2025 |
Journal |
ECE |
Hafsa Binte Kibria |
144 |
An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays |
Neural Computing and Applications |
Hafsa Binte Kibria, Md Ali Hossain, Shazia Rehman, Damminda Alahakoon, Md Anisur Rahman |
2025 |
Journal |
ECE |
Hafsa Binte Kibria |
145 |
An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability |
Knowledge-Based Systems |
Md Nahiduzzaman, Md Faysal Ahamed, Mansura Naznine, Md Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider |
2025 |
Journal |
ECE |
Hafsa Binte Kibria |
146 |
Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI |
IEEE |
Mahbuba Habib, Hafsa Binte Kibria |
2024 |
Conference |
ECE |
Hafsa Binte Kibria |
147 |
Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset |
IEEE |
Zareen Tasnim Pear, Hafsa Binte Kibria |
2024 |
Conference |
ECE |
Hafsa Binte Kibria |
148 |
MultiClass Classification of Chest Diseases using CXR Images with DenseNet201+ CNN and Grad CAM Visualization |
IEEE |
Tanzim Ahad, Hafsa Binte Kibria, Md Yusuf Mehemud |
2024 |
Conference |
ECE |
Hafsa Binte Kibria |
149 |
Detecting COVID-19 and Lung Diseases Utilizing Parallel CNN Model on Chest X-Rays Enhanced with GradCAM Visualization |
IEEE |
Hafsa Binte Kibria, MD Ali Hossain |
2024 |
Conference |
ECE |
Hafsa Binte Kibria |
150 |
YOLOv8 Based Object Detection for Self-driving Cars |
IEEE |
Zakia Afrin, Fariya Tabassum, Hafsa Binte Kibria, MD Rafi Imam, Md Rokibul Hasan |
2023 |
Conference |
ECE |
Hafsa Binte Kibria |
151 |
Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray |
IEEE |
Hafsa Binte Kibria, Md Ali Hossain |
2023 |
Conference |
ECE |
Hafsa Binte Kibria |
152 |
Enhancing Stroke Prediction through Interpretable AI: Distinguishing Stroke Cases from Non-Stroke Cases |
IEEE |
Nazmin Islam, Hafsa Binte Kibria |
2023 |
Conference |
ECE |
Hafsa Binte Kibria |
153 |
Efficient Brain Tumor Classification through Transfer Learning Models |
IEEE |
Md Yusuf Mehemud, Hafsa Binte Kibria, Abdus Salam |
2023 |
Conference |
ECE |
Hafsa Binte Kibria |
154 |
A Machine Learning Approach for Distribution Transformer Fault Detection |
IEEE |
Oishi Jyoti, Hafsa Binte Kibria, Md Munawar Hossain |
2023 |
Conference |
ECE |
Hafsa Binte Kibria |
155 |
An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI |
Sensors |
Hafsa Binte Kibria, Md Nahiduzzaman, Md Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider |
2022 |
Journal |
ECE |
Hafsa Binte Kibria |
156 |
Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications |
Springer International Publishing |
Sanzida Islam, Abdul Matin, Hafsa Binte Kibria |
2022 |
Book Chapter |
ECE |
Hafsa Binte Kibria |
157 |
The Severity prediction of the binary and multi-class cardiovascular disease-A machine learning-based fusion approach |
Computational Biology and Chemistry |
Hafsa Binte Kibria, Abdul Matin |
2022 |
Journal |
ECE |
Hafsa Binte Kibria |
158 |
Vision Based Human Action Classification Using CNN model with Mode Calculation |
IEEE |
Iffat Zabin Tonu, Abdul Matin, Hafsa Binte Kibria |
2021 |
Conference |
ECE |
Hafsa Binte Kibria |
159 |
A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction |
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 10-12 Nov. 2021, Mexico City, Mexico |
Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan, Sanzida Islam |
2021 |
Conference |
ECE |
Hafsa Binte Kibria |
160 |
Forecasting the spread of the third wave of COVID-19 pandemic using time series analysis in Bangladesh |
Informatics in Medicine Unlocked |
Hafsa Binte Kibria, Oishi Jyoti, Abdul Matin |
2021 |
Journal |
ECE |
Hafsa Binte Kibria |
161 |
An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease |
Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing. Springer, Cham. |
Hafsa Binte Kibria, Abdul Matin |
2020 |
Book Chapter |
ECE |
Hafsa Binte Kibria |
162 |
Comparative Analysis of Two Artificial Intelligence Based Decision Level Fusion Models for Heart Disease Prediction |
International Semantic Intelligence Conference (ISIC), 2020, CEUR-WS.org |
Hafsa Binte Kibria, Abdul Matin, Sanzida Islam |
2020 |
Conference |
ECE |
Hafsa Binte Kibria |
163 |
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network |
Expert Systems with Applications |
Md Nahiduzzaman, Md Rabiul Islam, Rakibul Hassan |
2023 |
Journal |
ECE |
Rakibul Hassan |
164 |
Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN |
Springer Nature Singapore |
Abdullah Al Rafi, Rakibul Hassan, Md Rabiul Islam, Md Nahiduzzaman |
2023 |
Conference |
ECE |
Rakibul Hassan |
165 |
Automated diagnosis of pneumonia from classification of chest x-ray im ages using efficientnet |
IEEE |
Nusrat Jahan, Md Shamim Anower, Rakibul Hassan |
2021 |
Conference |
ECE |
Rakibul Hassan |
166 |
Impact of Sentiment Analysis in Fake Online Review Detection |
IEEE |
Rakibul Hassan, Md Rabiul Islam |
2021 |
Conference |
ECE |
Rakibul Hassan |
167 |
A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images |
IEEE Access |
Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md Rakibul Islam |
2021 |
Journal |
ECE |
Rakibul Hassan |
168 |
Rakibul Hassan A supervised machine learning approach to detect fake online reviews |
IEEE |
Rakibul Hassan, Md Rabiul Islam |
2020 |
Conference |
ECE |
Rakibul Hassan |
169 |
Detection of fake online reviews using semi-supervised and supervised learning |
IEEE |
Rakibul Hassan, Md. Rabiul Islam |
2019 |
Conference |
ECE |
Rakibul Hassan |
170 |
Explainable Malaria Detection from Red Blood Cell Images using CNN-ELM Model |
Expert Systems with Applications (Elsevier, Q1, IF: 8.5) (Under Review) |
Md. Omaer Faruq Goni, BSc; Md. Nahiduzzaman, BSc; Dr Muhammad E. H. Chowdhury, Ph.D; Abdulrahman Alqahtani, Ph.D.; S. M. Riazul Islam, Ph.D. |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
171 |
A Review on Brain Tumor Segmentation Based on Deep Learning Methods with Federated Learning Techniques |
Computerized Medical Imaging and Graphics (Q1, IF: 5.7) (Under Review) |
Md. Faysal Ahamed; Md. Munawar Hossain; Md. Nahiduzzaman; Md. Rabiul Islam; Md. Robiul Islam; Mominul Ahsan; Julfikar haider |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
172 |
SHAP-Guided Gastrointestinal Disease Classification with Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM |
Expert Systems with Applications (Elsevier, Q1, IF: 8.5) (Under Review) |
Md Nahiduzzaman; Md. Faysal Ahamed; Norah Saleh Alghamdi; S. M. Riazul Islam |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
173 |
Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine |
ELSEVIER e-Prime |
Md. Omaer Faruq Goni, Md.Nahiduzzaman, Md. Shamim Anower, Md. Mahabubur Rahman, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, and Mohammad Shahjalal |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
174 |
A Novel framework for Lung Cancer Classification using Lightweight Convolutional Neural Networks and Hybrid Ridge-ELM Model with SHAP Interpretability |
Expert Systems with Applications (Elsevier, Q1, IF: 8.5) (Under Review) |
Md. Nahiduzzaman et al. |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
175 |
Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques |
Cognitive Computation (Under Review) |
Md. Faysal Ahmed, Md. Nahiduzzaman et al. |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
176 |
Diabetic Retinopathy Identification Using Parallel Convolutional Neural Network Based Feature Extractor and ELM Classifier |
Expert Systems with Applications (Elsevier, Q1, IF: 8.5) |
Md Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, and Marcin Kowalski |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
177 |
A Novel Deep Learning Framework for Detection and Classification of Lung Adenocarcinoma and Squamous Cell Carcinoma from Computed Tomography Images |
Cognitive Computation (Submitted) |
Md. Nahiduzzaman; Hafsa Binte Kibria; Muhammad E.H. Chowdhury; Amith Khandakar; Abdulrahman Alqahtani; Julfikar Haider; Sakib Mahmud; Anwarul Hasan |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
178 |
Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN |
Springer Nature Singapore |
Abdullah Al Rafi, Rakibul Hassan, Md Rabiul Islam, Md Nahiduzzaman |
2023 |
Book Chapter |
ECE |
Md. Nahiduzzaman |
179 |
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images |
Biocybernetics and Biomedical Engineering (Under Review) |
Md. Nahiduzzaman; Lway Faisal Abdulrazak; Hafsa Binte Kibria; Amith Khandakar; Mominul Ahsan;Julfikar Haider; Mohammad Ali Moni |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
180 |
A Deep Learning Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection using Computed Tomography Images |
Diagnostic (MDPI) |
Muntakim Mahmud Khan, Muhammad E.H. Chowdhury *, A S M Shamsul Arefin, Kanchon Kanti Podder, Md. Sakib Abrar Hossain, Abdulrahman Alqahtani, M. Murugappan *, Amith Khandakar, Adam Mushtak, Md Nahiduzzaman |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
181 |
Explainable Deep Learning Model for Automatic Mulberry Leaf Disease Detection |
Frontiers in Plant Science (Q1, IF: 5.6) |
Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, Emama Nahid, Faruque Ahmed, Nasser Al-Emadi, Mohamed Arselene Ayari, Amith Khandakar and Julfikar Haider |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
182 |
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning |
Sensors (Q1, IF: 3.576), MDPI |
Abida Sultana, Md Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad E. H. Chowdhury *, Amith Khandakar, Mohamed Arslane Ayari, Mominul Ahsan *, Julfikar Haider |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
183 |
Parallel CNN-ELM: A Multiclass Classification of Chest X-Ray Images to Identify Seventeen Lung Diseases Including COVID-19 |
Expert Systems with Applications (Elsevier (IF 8.5)) |
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
184 |
Plant Disease Classifier: Detection of Dual-Crop Diseases using Lightweight 2D CNN Architecture |
IEEE Access (Q1, IF: 3.367) |
Hasibul Islam Peyal, Md Nahiduzzaman, Md Abu Hanif Pramanik, Md Khalid Syfullah, Saleh Mohammed Shahriar, Abida Sultana, Mominul Ahsan, Julfikar Haider, Amith Khandakar, Muhammad EH Chowdhury |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
185 |
Detection of Various Lung Diseases including COVID-19 Using Extreme Learning Machine Algorithm Based on the Features Extracted from a Lightweight CNN Architecture |
Elsevier (Biocybernetics and Biomedical Engineering (Q1, IF: 6.4)) |
Md. Nahiduzzaman et al. |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
186 |
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques |
Sensors (Q1, IF: 3.9), MDPI |
Md. Faysal Ahmed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
187 |
Deep Learning-based Real-time Detection and Classification of Tomato Ripeness Stages using YOLOv8 on Raspberry Pi |
International Journal of Machine Learning and Cybernetics (Q1, Springer) (Submitted) |
Amith Khandakar; Md. Nahiduzzaman; Rusab Sarmun; Md Ahsan Atick Faisal; Mohammad Kaoser Alam; Tawsifur Rahman; Nasser Al-Emadi; Mohamed Arselene Ayari; Muhammad E. H. Chowdhury |
2023 |
Journal |
ECE |
Md. Nahiduzzaman |
188 |
Explainable Transformer-based Deep Learning Model for the Detection of Malaria Parasite from the Blood Cell-Images |
Sensors (Q1, IF: 3.9), MDPI |
Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
189 |
Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator |
IEEE Access (Q1, IF: 3.367) |
Md. Omaer Faruq Goni, Md. Nazrul Islam Mondal, S. M. Riazul Islam, Md Nahiduzzaman, Md. Robiul Islam, Md. Shamim Anower, Kyung-Sup Kwak |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
190 |
ChestX-Ray6: Prediction Of Multiple Diseases Including COVID-19 From Chest X-ray Images Using Convolutional Neural Network |
Expert Systems with Applications (Elsevier, Q1, IF: 8.5) |
Md. Nahiduzzaman, Md. Rabiul Islam and Rakibul Hassan |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
191 |
An Ensemble Approach for Prediction of Diabetes Mellitus using Soft Voting Classifier with Explainable AI |
Sensors (Q1, IF: 3.9), MDPI |
Hafsa Binte Kibria *, Md Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider * |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
192 |
State of Charge Estimation for EV Battery Management Systems using Hybrid Recurrent Learning Approach with Explainable AI |
Energies (MDPI (Q1, IF: 3.252)) |
Saleh Mohammed Shahriar *, Erphan A. Bhuiyan, Md Nahiduzzaman, Mominul Ahsan, Julfikar Haider * |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
193 |
Complex Features Extraction with Deep Learning Model for the Detection of COVID19 from CT Scan Images Using Ensemble Based Machine Learning Approach |
Expert Systems with Applications (Q1, IF: 8.5) |
Md. Robiul Islam, Md. Nahiduzzaman |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
194 |
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images |
Computers in Biology and Medicine (Q1, IF: 7.7) |
Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
195 |
Integration of Machine Learning with Economic Energy Scheduling |
International Journal of Electrical Power and Energy Systems (Q1, IF: 5.5) |
Md Omaer Faruq Goni, Md Nahiduzzaman, Md Shamim Anower, S M Muyeen, Innocent Kamwa |
2022 |
Journal |
ECE |
Md. Nahiduzzaman |
196 |
A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images |
IEEE Access (Q1, IF: 3.367) |
Md Nahiduzzaman, Md. Omaer Faruq Goni, Md. Shamim Anower, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md. Rakibul Islam |
2021 |
Journal |
ECE |
Md. Nahiduzzaman |
197 |
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm |
IEEE Access (Q1, IF: 3.367) |
Md Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Kyung-Sup Kwak |
2021 |
Journal |
ECE |
Md. Nahiduzzaman |
198 |
A Novel Deep Convolutional Neural Network Model for Detection of Parkinson Disease by Analysing the Spiral Drawing |
Springer, Singapore |
Md Rakibul Islam, Abdul Matin, Md Nahiduzzaman, Md Saifullah Siddiquee, Fahim Md Sifnatul Hasnain, SM Shovan, Tonmoy Hasan |
2021 |
Book Chapter |
ECE |
Md. Nahiduzzaman |
199 |
An IoT-Based Real-Time Intelligent Irrigation System using Machine Learning |
ICTS |
Saleh Mohammed Shahriar, Hasibul Islam Peyal, Md Nahiduzzaman, Md Abu Hanif Pramanik |
2021 |
Conference |
ECE |
Md. Nahiduzzaman |
200 |
Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network |
IJISRT |
Md. Robiul Islam, Md. Nahid Hasan, Md. Nahiduzzaman |
2020 |
Journal |
ECE |
Md. Nahiduzzaman |
201 |
Prediction of Heart Disease Using Multi-Layer Perceptron Neural Network and Support Vector Machine |
IEEE |
Md. Nahiduzzaman, Md. Julker Nayeem, Md. Toukir Ahmed, Md. Shahid Uz Zaman |
2020 |
Conference |
ECE |
Md. Nahiduzzaman |
202 |
PLDs-CNN-Ridge-ELM: A parallel lightweight two stage waste classification model guided by SHAP |
Engineering Application in Artificial Intelligence | IF: 7.5, Q1 | (Under Review) |
M. Naznine, M. Nahiduzzaman, M. J. Karim, M. F. Ahamed et al., |
2025 |
Journal |
ECE |
Md. Faysal Ahamed |
203 |
Explainable Deep Learning for Rainfall Prediction: A CNN-XGBoost Hybrid Approach in the Northern Region of Bangladesh |
IEEE ACCESS | I.F: 3.4, Q1 | (Under review) |
M. F. Ahamed et al., |
2025 |
Journal |
ECE |
Md. Faysal Ahamed |
204 |
Transparent and Trustworthy Student Engagement Detection: A Real-Time Approach Using Explainable YOLO Variants |
Computers and Education Open| I.F.: 4.2, Q1 | (Under review) |
M. F. Ahamed et al., |
2025 |
Journal |
ECE |
Md. Faysal Ahamed |
205 |
An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability |
Knowledge-Based Systems, Elsevier | I.F: 8.8, Q1 |
M. Nahiduzzaman; M. F. Ahamed et al. |
2025 |
Journal |
ECE |
Md. Faysal Ahamed |
206 |
A Hybrid Explainable Model Based on Advanced Machine Learning and Deep Learning Models for Classifying Brain Tumors Using MRI Images |
Scientific Report, Nature| I.F.: 3.8, Q1 |
M. Nahiduzzaman; L. F. Abdulrazak; H. B. Kibria; A. Khandakar; M. A. Ayari; M. F. Ahamed; M. Ahsan; M. A. Moni |
2025 |
Journal |
ECE |
Md. Faysal Ahamed |
207 |
Deep Learning Based Smart Bin for Efficient Sorting of Recyclable, Non-Recyclable, and Compostable Materials |
International Conference on Computer and Information Technology (25th ICCIT) |
Maaz, M. F. Ahamed et al., |
2025 |
Conference |
ECE |
Md. Faysal Ahamed |
208 |
D3Net: An Adam-Based Ensemble Voting Method for Bangla Handwritten Digit Recognition Using Multi-CNN Architectures |
International Conference on Electrical, Computer and Communication Engineering (ECCE), 2025 |
Md. Momenul Islam, Md. Rabiul Islam, Md. Faysal Ahamed et al., |
2025 |
Conference |
ECE |
Md. Faysal Ahamed |
209 |
Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques |
Scientific Report, Nature| IF: 3.8, Q1 | (Under Review) |
M. F. Ahamed et al., |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
210 |
SHAP-Guided Gastrointestinal Disease Classification with Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM |
Neural Computing & Application, Springer| IF: 4.5, Q1 | (Under Review) |
M. Nahiduzzaman, M. F. Ahamed, N. S. Alghamdi, and S. M. R. Islam |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
211 |
Streamlining Plant Disease Diagnosis with Convolutional Neural Networks and Edge Devices |
Neural Computing & Application, Springer| IF: 4.5, Q1 |
M. F. Ahamed, A. Salam, M. Nahiduzzaman, M. A. Al-Wadud, S. M. R Islam |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
212 |
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation |
Human-Centric Intelligent Systems (HCIN), Springer |
M. F. Ahamed et al. |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
213 |
Optimizing Skin Lesion Segmentation with UNet and Attention-Guidance Utilizing Test Time Augmentation |
6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh |
M. F. Ahamed et al. |
2024 |
Conference |
ECE |
Md. Faysal Ahamed |
214 |
Object Detection using Machine Learning: A Comprehensive Review of Techniques and Applications |
International Journal of Biomedical Imaging, hindawi | IF: 8.11 |
M. F. Munwar, M. A. Ahamed et al., |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
215 |
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI |
Computers in Biology and Medicine, Elsevier | I.F.: 7.0, Q1 |
Md. Faysal Ahamed et al. |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
216 |
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods with Explainable AI |
IEEE ACCESS | I.F: 3.9, Q1 |
M. F. Ahamed, M. R. Islam et al., |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
217 |
Detection of various Gastrointestinal Tract Diseases through Deep Learning method with Ensemble ELM and Explainable AI |
Expert Systems with Applications, Elsevier | IF: 7.5, Q1 |
M. F. Ahamed et al., |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
218 |
A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications |
Technologies, MDPI | IF: 4.2, Q1 | 2024 |
M. F. Munwar, M. A. Ahamed et al., |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
219 |
Denoising autoencoder-based soft K-medoid clustering for single-cell RNA sequence data |
International Conference on Computing Advancements (ICCA 2024) |
Z. A. K. Zihad, M. R. Islam, and M.F. Ahamed |
2024 |
Conference |
ECE |
Md. Faysal Ahamed |
220 |
Lightweight CNN Approach for Multiclass Alzheimer Stage Classification from MRI Scans |
International Conference on Computing Advancements (ICCA 2024) |
D. Zafrin, M.F. Ahamed, and M. R. Islam |
2024 |
Conference |
ECE |
Md. Faysal Ahamed |
221 |
Bangla Speech Emotion Recognition Based on Audio Features Using CNN and LSTM |
International Conference on Computing Advancements (ICCA 2024) |
P. Talukder, M. R. Islam, M.F. Ahamed, and S. Ghosh |
2024 |
Conference |
ECE |
Md. Faysal Ahamed |
222 |
Efficient Self-Attention and Co-Attention within the Modified Graph Matching Attention Network for Visual Question Answering |
International Conference on Computing Advancements (ICCA 2024) |
M.F. Islam, M.R. Islam, and M.F. Ahamed |
2024 |
Conference |
ECE |
Md. Faysal Ahamed |
223 |
Performance evaluation of various deep learning models in gait recognition using the CASIA-B dataset |
Technologies, MDPI | IF: 4.2, Q1 |
N. Aman, M.R. Islam, M.F. Ahamed, and M. Ahsan |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
224 |
Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection |
Scientific Data, Nature| I.F.: 5.6, Q1 | (Under Review) |
K. Thomas , M.A. Rahman ,W. Rohouma ,M.F. Ahamed ,F. Shafi ,M. Nahiduzzaman |
2024 |
Journal |
ECE |
Md. Faysal Ahamed |
225 |
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques |
Sensors, MDPI | IF: 3.9, Q1 | 2023 |
M. F. Ahamed et al., |
2023 |
Journal |
ECE |
Md. Faysal Ahamed |
226 |
A Review on Brain Tumor Segmentation Based on Deep Learning Methods with Federated Learning Techniques |
Computerized Medical Imaging and Graphics, Elsevier | IF: 5.7, Q1 |
M. F. Ahamed et al., |
2023 |
Journal |
ECE |
Md. Faysal Ahamed |
227 |
An Empirical Multi-Classification Approach of Classifying Lung Affected Diseases Utilizing Multi-Scale CNN Model |
Technologies, MDPI | IF: 4.2, Q1 |
O. Sarkar, M. R. Islam, M. K. Syfullah, M. T. Islam, M. F. Ahamed, M. Ahsan, and J. Haider |
2023 |
Journal |
ECE |
Md. Faysal Ahamed |
228 |
Classification and segmentation on multi-regional brain tumors using volumetric images of MRI with customized 3D U-Net Framework |
Proceedings of International Conference on Information and Communication Technology for Development (ICICTD), pp. 223–234. |
M. F. Ahamed, M. R. Islam, T. Hossain, K. Syfullah, and O. Sarkar |
2023 |
Book Chapter |
ECE |
Md. Faysal Ahamed |
229 |
Interpretible Deep Learning Model for Tuberculosis detection technique using X-ray images |
Proceedings of Surveillance, prevention, and control of infectious diseases: An AI perspective –Springer |
M. F. Ahamed, M. R. Islam, M. Nahiduzzaman, and M. E. H. Chowdhury |
2023 |
Book Chapter |
ECE |
Md. Faysal Ahamed |
230 |
Bangla News Classification Using GloVe Vectorization, LSTM, and CNN |
Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore, 2023 |
P. Chowdhury, E. M. Eumi, O. Sarkar, M. F. Ahamed |
2023 |
Book Chapter |
ECE |
Md. Faysal Ahamed |
231 |
Multi-label Bengali Abusive Comments Classification using Problem Transformation Method |
2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). Mexico City, Mexico. |
T. T. Khan, A. Hassan, M. F. Ahamed, and S. Islam |
2023 |
Conference |
ECE |
Md. Faysal Ahamed |
232 |
An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM |
2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1-6 |
O. Sarkar, M. F. Ahamed, T. T. Khan, M. K. Ghosh, and M. R. Islam |
2021 |
Conference |
ECE |
Md. Faysal Ahamed |
233 |
Forecasting & Severity Analysis of COVID-19 Using Machine Learning Approach with Advanced Data Visualization |
2020 23rd International Conference on Computer and Information Technology (ICCIT)), Dhaka, Bangladesh, 2020, pp. 1-6 |
O. Sarkar, M. F. Ahamed, and P. Chowdhury |
2020 |
Conference |
ECE |
Md. Faysal Ahamed |
234 |
Instance Segmentation of Visible Cloud Images Based on Mask R-CNN Applying Transfer Learning Approach |
2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 257-262 |
M. F. Ahamed, O. Sarkar, and A. Matin |
2020 |
Conference |
ECE |
Md. Faysal Ahamed |
235 |
Physical Layer Security in Mixed UOWC-RF Networks with Energy Harvesting Relay against Multiple Eavesdroppers |
Open Journal of the Communications Society (OJCOMS), IEEE | IF: 7.9, Q1 |
Moloy Kumar Ghosh, Milton Kumar Kundu, Md. Ibrahim, A. S. M. Badrudduza, Md. Shamim Anower, Imran Shafique Ansari, Annie Solomon, Sumit Chakravarty, Imtiaz Ahmed, and Heejung Yu |
2024 |
Journal |
ECE |
Moloy Kumar Ghosh |
236 |
An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM |
2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1-6 |
O. Sarkar, M. F. Ahamed, T. T. Khan, M. K. Ghosh, and M. R. Islam |
2021 |
Conference |
ECE |
Moloy Kumar Ghosh |
237 |
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images |
MDPI |
Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan and Julfikar Haider |
2022 |
Journal |
ECE |
Md. Omaer Faruq Goni |
238 |
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images |
Computers in Biology and Medicine |
Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski |
2022 |
Journal |
ECE |
Md. Omaer Faruq Goni |
239 |
Integration of Machine Learning with Economic Energy Scheduling |
International Journal of Electrical Power & Energy Systems |
Md. Omaer Faruq Goni, Md. Nahiduzzaman, Md. Shamim Anower, Innocent Kamwa, S M Muyeen |
2022 |
Journal |
ECE |
Md. Omaer Faruq Goni |
240 |
A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images |
IEEE Access |
Md. Nahiduzzaman and Md. Omaer Faruq Goni and Md. Shamim Anower and Md. Robiul Islam and Mominul Ahsan and Julfikar Haider and Saravanakumar Gurusamy and Rakibul Hassan and Md. Rakibul Islam |
2021 |
Journal |
ECE |
Md. Omaer Faruq Goni |
241 |
Performance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN and KNN |
Springer Singapore |
Md. Omaer Faruq Goni and Abdul Matin and Tonmoy Hasan and Md. Rafidul Islam Sarker |
2021 |
Book Chapter |
ECE |
Md. Omaer Faruq Goni |
242 |
Autism Spectrum Disorder Prognosis Using Machine Learning Algorithms: A Comparative Study |
International Conference on Intelligent Computing & Optimization, 2020 - Springer, Cham. |
Oishi Jyoti, Nazmin Islam, Md Omaer Faruq, Md Abu Ismail Siddique, Md Habibur Rahaman |
2021 |
Conference |
ECE |
Md. Omaer Faruq Goni |
243 |
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm |
IEEE Access |
Md Nahiduzzaman, Md Robiul Islam, SM Riazul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Kyung-Sup Kwak |
2021 |
Journal |
ECE |
Md. Omaer Faruq Goni |
244 |
Breast Cancer Detection using Deep Neural Network |
2020 23rd International Conference on Computer and Information Technology (ICCIT) |
Md. Omaer Faruq Goni and Fahim Md. Sifnatul Hasnain and Md. Abu Ismail Siddique and Oishi Jyoti and Md. Habibur Rahaman |
2020 |
Conference |
ECE |
Md. Omaer Faruq Goni |
245 |
Graduate Admission Chance Prediction Using Deep Neural Network |
2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) |
Md. Omaer Faruq Goni and Abdul Matin and Tonmoy Hasan and Md. Abu Ismail Siddique and Oishi Jyoti and Fahim MD Sifnatul Hasnain |
2020 |
Conference |
ECE |
Md. Omaer Faruq Goni |
246 |
A Comparative Analysis of Feature Extraction Methods for Human Opinion Grouping Using Several Machine Learning Techniques |
2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) |
Tonmoy Hasan, Abdul Matin, Mahammed Kamruzzaman, Sanzida Islam, Md Omaer Faruq Goni |
2020 |
Conference |
ECE |
Md. Omaer Faruq Goni |