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Dr. Abdullah-Al Nahid
Professor

DULLAH-AL NAHID received the B.Sc. degree in Electronics and Communication Engineering from Khulna University, Khulna, Bangladesh, in 2007, the M.Sc. degree in telecommunication engineering from the Institute for the Telecommunication Research (ITR), University of South Australia (UniSA), Australia, in 2014, and the Ph.D. degree from Macquarie University, Sydney Australia, in 2018. His research interests include machine learning, biomedical image processing, data classification, and smart grid.

  Research Gate   Google Scholar  Orcid  Scopus  IEEE Member # 95695376

Ph.D. in Engineering (2015-2018)

Current Research Project/Collaboration

SL Title Research Role Awarded Date Completion Date Funding Agency
1 An Extensible Approach for Non-intrusive Load Disaggregation and Occupancy Detection using Smart Meter Data with Deep Machine Learning Techniques. Principal Investigator 25 June, 2019 National
2 Solar Energy Based Automated Electric Vehicle (EV) Charging Station Co-Principal Investigator 10th Dec. 2021 1st Dec. 2021 National
3 A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework Co-Principal Investigator June, 2020 January, 2021 International
4 Design and Numerical Analysis of a Novel Rectangular PCF (R-PCF)-Based Biochemical Sensor (BCS) in the THz Regime Co-Principal Investigator June, 2020 February, 2021 International
5 A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm Co-Principal Investigator June, 2020 February, 2021 International
6 Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images Co-Principal Investigator June, 2020 April 2021 International
7 A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade Co-Principal Investigator january, 2020 September,2020 International
8 A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network Principal Investigator january, 2020 June, 2020 International
9 Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach Co-Principal Investigator January,2019 August, 2019 International
10 A Vision-Based Lane Detection Approach for Autonomous Vehicles Using a Convolutional Neural Network Architecture Co-Principal Investigator March, 2021 October,2021 International
11 Human Activity Recognition Based on Wavelet-Based Features along with Feature Prioritization Co-Principal Investigator July, 2021 December, 2021 International

coming soon...

Supervision

SL Title Degree Role Start Date End Date
1 High Performance III-Nitride Based Patch Antenna for Wireless Appliations Bachelor Supervisor 01st January, 2011 03rd July, 2011
2 Development of online Open Conference System Bachelor Supervisor 01st January, 2011 03rd July, 2011
3 Performance Evaluation of Natural Ordering and Gray Coded Modulation Scheme (16-QAM & 16-PSK) with Convolutional Coding Bachelor Co-Supervisor 01st January, 2009 22nd November, 2009
4 An Efficient Paging Algorithm for Multi-Carrier CDMA System Bachelor Co-Supervisor 01st January, 2010 15th July, 2010
5 Developing A Web-Based Social Networking for the Students of ECE Discipline, Khulna University. Bachelor Co-Supervisor 01st January, 2010 05th July, 2010
6 The Proposal of a Social portable ECG Monitoring System Bachelor Co-Supervisor 01st January, 2009 24th April 2009
7 Performance Study of Turbo Codes with Interleavers Design Bachelor Co-Supervisor 01st January, 2009 08 December, 2009
8 Motor Bearing Fault Analysis Using Machine Learning Techniques Masters Supervisor 6th June, 2019 2021
9 Heart Condition Classification Based on Electrocardiograms Using Advanced Learning Algorithms Masters Supervisor 6th June, 2019 2021
10 Home Appliances Classification Using Machine Learning Algorithms Bachelor Co-Supervisor 6th June, 2017 20th December, 2018
11 Utilization of Machine Learning Algorithms for Diabetes Prediction Bachelor Co-Supervisor 6th June, 2018 20th December, 2018
12 Non-invasive Bio-medical Image Classification and Segmentation Using Deep Learning Method Masters Supervisor 6th June, 2018 20th November, 2019
13 Analysis of Human Movement Activity using Biomedical Data Utilizing Machine Learning Techniques. Masters Supervisor 12th January, 2020
14 Diabetes Prediction Through Data Analysis using a few Machine Learning Algorithms. Masters Supervisor 12th January, 2020
15 Bearing Fault Diagnosis of Induction Motor' Using Ensemble Learning Algorithms. Masters Supervisor 02nd December, 2019
16 Human Action Recognition Based on Usual Activity Data Collected Using Smartphone Sensors. Masters Supervisor 23th February, 2020
17 Electricity Theft detection Using Machine Learning Algorithms. Bachelor Supervisor 6th June, 2017 20th December, 2018
18 Classifying Native Fruits using Ensemble Convolutional Neural Network Bachelor Co-Supervisor 6th June, 2018 10th December, 2019
19 Feature Extraction and Classification of EEG signals for Seizure Detection Bachelor Co-Supervisor 6th June, 2017 10th July, 2018
20 Implementation of Lane-detection Robot Using Fully Connected neural Network Bachelor Co-Supervisor 6th June, 2018 10th October, 2019

coming soon...

Book Chapters

6. Chapter Name: Classification of ECG Arrhythmias Using Conventional Tree-Based Machine Learning Approaches, Book Name: Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC (2022), Publisher: Springer,  Author: AAM Bulbul, M.B. Hossain, M.I. Labib,  AA Nahid.

5. Chapter Name: Classification of Histopathological Colon Cancer Images Using PSO based Feature Selection Algorithm. Book Name: Diagnostic Biomedical Signal and Image Processing Applications, 1st June, (2023),  Publisher: Elsevier, Edited By: Prof. Dr. Kemal Polat (Editor) , Assoc. Prof. Dr. Şaban Öztürk(Editor). Author:  M.J. Raihan, AA Nahid.

4. Chapter Name: Histopathological Breast cancer Image Classification with Feature Prioritization using a Heuristic Algorithm. Book Name: Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 2: Breast and bladder cancer (IOP ebooks) Hardcover – Import, 6 June (2022), Publisher: Institute of Physics (IOP), Edited By: Ayman El-Baz (Editor), Jasjit Suri (Editor). Author: AA Nahid, M.J.  Raihan, N. Sikder, S. R. Sabuj.

3. Chapter Name:  Skin Cancer Detection from Low-Resolution Images Using Transfer Learning.Book Name: Intelligent Sustainable Systems, Lecture Notes in Networks and Systems book series (LNNS, volume 213), (2021) , Publisher: Springer,  Author:  MDRH Khan,   AH Uddin,  AA Nahid, AK Bairagi.

2. Chapter Name: Machine-Learning Based Physical Exercise Identification with Heuristic Optimized Features Prioritization,  Book Name: Proceedings of  International Conference on Fourth Industrial Revolution and Beyond 2021, Lecture Notes in Networks and Systems book series (LNNS, volume 213), (2021) , Publisher: Springer,  Author: P.K. Mondal,   M .A. Awal,  AA Nahid.

1. Chapter Name: High-Capacity Downlink for Millimeter Wave Communication Network Architecture,  Book Name: Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, Lecture Notes in Networks and Systems book series (LNNS, volume 814), (2018) , Publisher: Springer,  Author: A. A.-M. Bulbul, M. T. Hasan, M. I. Kadir, M. M. Hossain, AA. Nahid, and M. N. Hasan.

Journal Papers:

43. UU Gronthy, U Biswas*, S Tapu, MA Samad*, AA Nahid (2023), "A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022", Diagnostics 13 (10).

42. M.A.M. Khan, S.H. Kee*, ASK Pathan, AA Nahid (2023), "Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review", Remote Sensing 15 (9).

41. M.J.Raihan, M.A.M. Khan, S.H. Kee, AA Nahid* (2023), "Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP ", Scientific Reports.

40. A Talin, M.H.Abid, M.A.M. Khan, S.H. Kee, AA Nahid* (2022), "Finding the Influential Clinical Traits that Impact on the Diagnosis of Heart Disease using Statistical and Machine-Learning Techniques ", Scientific Reports.

39. AA Nahid*, M.J. Raihan, AAM Bulbul (2022), "Breast Cancer Classification along with Feature Prioritization using Machine Learning Algorithms ", Health and Technology, Springer.

38. M.J. Raihan, M.T. Hasan, AA Nahid* (2022), "Smart Human Following Baby Stroller using Computer Vision ", Khulna University Studies.

37. M.I. Labib, M.T. Hasan, AA Nahid* (2022), "Inference of Irregular Cardiac Activity Using Neural Temporal Perturbation Fields ", Khulna University Studies.

36. M.A.M. Khan, M.F. Haque, K.R.Hasan, S.A.Alajmani, M. Baz., M. Masud, AA Nahid*  (2022), "LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning", Sensor, MDPI.

35. AA Nahid*, M.J. Raihan, AAM Bulbul (2022), "Home Occupancy Classification Using Machine Learning Techniques along with Feature Selection", I. J. Engineering and Manufacturing, MECS-Press.

34. AA Bairagi, N Sikder, AA Nahid, M Masud (2022), "Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images", PLOS One (Submitted, Under Review).

33. AA Nahid, M.J. Raihan, AAM Bulbul (2022), "Breast Cancer Classification along with Feature Prioritization using Machine Learning Algorithms ",Health and Technology, Springer.

32. M.I.Labib, AA Nahid (2021), "OptRPC: A novel and optimized recurrence plot-based system for ECG beat classification ", Biomedical Signal Processing and Control, Elsevier.

31. M.J. Raihan,  AA Nahid (2021), "Malaria cell image classification by explainable artificial intelligence ",  Health and Technology, Springer.

30. H. Jibon, AAM Bulbul, AA Nahid, O.S. Faragallah, M. Baz, M.A. Eid,  A.N.Z .Rashed (2021), "Design and numerical analysis of a photonic crystal fiber (PCF)-based flattened dispersion THz waveguide", Optical Review , Springer.

29. B. Eid, M.R. Islam, R. Shah, AA Nahid, A.Z. Kouzani, M.A.P. Mahmud (2021), "Enhanced Profitability of Photovoltaic Plants by Utilizing Cryptocurrency-Based Mining Load", IEEE Transactions on Applied Superconductivity, IEEE.

28. M.A.A. Rafi, M.J.K. Jaman, M.A. Hasan, M.R. Islam, M.A.P. Mahmud, A.Z. Kouzani,  AA Nahid (2021), "Renewable Energy-based Hybrid Microgrid for Economically Effective Coastal Electrification", IEEE Transactions on Applied Superconductivity, IEEE.

27. N.Sikder, M. Masud, A.K.Bairagi, A.S.M. Arif, AA Nahid*, H. A Alhumyani  (2021), "Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images", Symmetry, MDPI.

26. N.Sikder, AA Nahid*,  (2021), "Induction Motor Bearing Fault Classification Using Extreme Learning Machine Based on Power Features", Arabian Journal for Science and Engineering, Springer.

25. N.Sikder, AA Nahid*, (2021), "KU-HAR: An open dataset for heterogeneous human activity recognition", Pattern Recognition Letters, Elsevier.

24. M. Masud, A.K.Bairagi, AA Nahid, N. Sikder, S. Rubaiee, A. Ahmed, D. Anand (2021), "A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm", Journal of Healthcare Engineering, Hindawi.

23. A.A.M. Bulbul, A.Z. Kouzani, M A P. Mahmud, AA Nahid*,  (2021), "Design and Numerical Analysis of a Novel Rectangular PCF (R-PCF)-Based Biochemical Sensor (BCS) in the THz Regime", International Journal of Optics, Hindawi.

22. M. Masud, N. Sikder,  AA Nahid, A.K.Bairagi, M.A. AlZain (2021), "A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework", Sensor, MDPI.

21. A.K.Bairagi, M. Masud, D. H. Kim,  AA Nahid, M. S. Munir, S. Biswas, S. S. Alshamrani, Z. Han, C. S. Hong (2020), " Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective", IEEE Access, IEEE. 

20. A.A.M. Bulbul, H. Rahman, S. Biswas, B. Hossain, AA Nahid* (2020), "Design and numerical analysis of a PCF-based bio-sensor for breast Cancer cell detection in the THz regime", Sensing and Bio-Sensing Research, Elsevier.

19. A.I. Arafat, T. Akter, M.F Ahammed, M.Y Ali, AA Nahid* (2020), "A Dataset for Internet of Things Based Fish Farm Monitoring and Notification System", Data in Brief, Elsevier.

18. M.A.M. Khan, M.R.J. Khan,  A. Tooshil, N. Sikder, M A P. Mahmud, A.Z. Kouzani, AA Nahid* (2020), "A Systematic Review on Reinforcement Learning-based Robotics within the Last Decade", IEEE Access, IEEE.

17. A. Nahid, N. Sikder  A.K. Bairagi, M.A. Razzque, M.Masud, A. Z. Kouzani and, M. A. P. Mahmud ,“A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network,” Sensors, vol. 20, no. 12, p. 3310, June. 2020, doi: 10.3390/s20123482.

16. M. N. Hasan, R. N. Toma, A. Nahid, M. M. M. Islam, and J.-M. Kim, “Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach,” Energies, vol. 12, no. 17, p. 3310, Aug. 2019, doi: 10.3390/en12173310.

15. A. A. Jaid Jim, R. Kadir, M. A. A. Mamun, A. Nahid, and M. Y. Ali, “A Noble Proposal for Internet of Garbage Bins (IoGB),” Smart Cities, vol. 2, no. 2, pp. 214–229, Jun. 2019, doi: 10.3390/smartcities2020014.

14. S. Dhaliwal, A. Nahid, and R. Abbas, “Effective Intrusion Detection System Using XGBoost,” Information, vol. 9, no. 7, p. 149, Jun. 2018, doi: 10.3390/info9070149.

13. A. Nahid, A. Mikaelian, and Y. Kong, “Histopathological breast-image classification with restricted Boltzmann machine along with backpropagation,” Biomedical Research, vol. 29, no. 10, 2018, doi: 10.4066/biomedicalresearch.29-17-3903.

12. A. Nahid, M. A. Mehrabi, and Y. Kong, “Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering,” BioMed Research International, vol. 2018, pp. 1–20, 2018, doi: 10.1155/2018/2362108.

11. A. Nahid and Y. Kong, “Histopathological Breast-Image Classification Using Concatenated R–G–B Histogram Information,” Annals of Data Science, vol. 6, no. 3, pp. 513–529, May 2018, doi: 10.1007/s40745-018-0162-3.

10. A. Nahid and Y. Kong, “Histopathological Breast-Image Classification Using Local and Frequency Domains by Convolutional Neural Network,” Information, vol. 9, no. 1, p. 19, Jan. 2018, doi: 10.3390/info9010019.

9. A. Nahid and Y. Kong, “Involvement of Machine Learning for Breast Cancer Image Classification: A Survey,” Computational and Mathematical Methods in Medicine, vol. 2017, pp. 1–29, 2017, doi: 10.1155/2017/3781951.

8. A. Nahid, T. M. Khan, and Y. Kong, “Hardware Implementation of Bone Fracture Detector Using Fuzzy Method Along with Local Normalization Technique,” Annals of Data Science, vol. 4, no. 4, pp. 533–546, Jul. 2017, doi: 10.1007/s40745-017-0118-z.

7. M. S. Sheikh, K. J. Reza, G. M. Rashid, M. Moinuddin, M. Z. Amin and A. Nahid, “An Efficient Paging Algorithm for Multi-Carrier CDMA System,” IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 2, pp. 421–426, 2011, arXiv:1109.2297.

6. I. M. Laisuzzaman, N. Imran, A. Nahid, M. Z. Amin, and M. A. Alim, “The Framework for Implementing ECommerce: The Role of Bank and Telecom in Bangladesh,” Journal of Telecommunications,Volume 1, Issue 1, pp57-62, 2011, arXiv:1109.2297.

5. M. A. Alim, M. M. Rahman, M. M. Hossain, and A. Nahid, “Analysis of Large Scale Propagation Models for Mobile Communications in Urban Area,” International Journal of Computer Science and Information Security, IJCSIS, 2010, arXiv:1109.2297.

4. M. H. Azam, A. Nahid, M. A. Alim, M. Z. Amin, “A Survey and Comparison of Various Routing Protocols of Wireless Sensor Network (WSN) and a Proposed New TTDD Protocol Based on LEACH,” International Journal of Computer and Network Security, Vol. 2, No. 8, 2010.

3. M. H. Azam, A. Nahid, M. A. Alim, M. Z. Amin, “SMS advertising and its prospects in Bangladesh,” Journal of Theoretical and Applied Information Technology, 2010.

2. T. K. Bose and A. Nahid, “Potential consequences of e-commerce application,” in 2009 12th International Conference on Computers and Information Technology, 2009, doi: 10.1109/iccit.2009.5407300.

1. S. A. A. Rajon, A. Nahid, and A. S. M. Arif, “Implementation of e-Commerce in developing countries: Bangladesh perspective,” in 2009 12th International Conference on Computers and Information Technology, 2009, doi: 10.1109/iccit.2009.5407311.


Conference Papers:


42. M.Mumenin, KJ Reja, SS Sathi, HA Humayra, M raihan, MM Hasan, S Rahman, AA Nahid, A Awal (2021) "COVID-19 Fake News Detection on Social Media", 6th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering Rajsahi, Bangladesh. 

41. M.H.Abid, AA Nahid, MR Islam, MAP Mahmud (2021) "Human Activity Recognition Based on Wavelet-Based Features along with Feature Prioritization", 6th International Conference on Computing, Communication & Automation (ICCCA), India. 

40. I.A. Talin, M.H.Abid, AA Nahid, (2021) "Influential Causes that Affect Largely for the Survival of a Patient with Heart-failure: A Machine Learning Perspective", 6th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering Rajsahi, Bangladesh. [Paper presented in  December, 2021]

39. M.H. Abid,  AA Nahid (2021), "Two Unorthodox Aspects in Handcrafted-feature Extraction for Human Activity Recognition Datasets", 2021 International Conference on Electronics, Communications and Information Technology (ICECIT 2021), Khulna, Bangladesh.

38. M.A.M. Khan, S.H. Kee,  N. Sikder, M.A.A. Mamun, M.T. Zohora, M.T.Hasan, A.K. Bairagi, AA Nahid (2021), "A Vision-Based Lane Detection Approach for Autonomous Vehicles Using a Convolutional Neural Network Architecture", International Conference on Informatics, Electronics & Vision (ICIEV 2021), August 16-20, 2021, Japan.

37. N. Sikder, M.A.R Ahad, AA Nahid (2021), "Human Action Recognition Based on a Sequential Deep Learning Model", International Conference on Informatics, Electronics & Vision (ICIEV 2021), August 16-20, 2021, Japan.

36. M.J. Raihan, M.A.R Ahad, AA Nahid (2021), "Automated Rehabilitation Exercise Assessment by Genetic Algorithm-optimized CNN", International Conference on Informatics, Electronics & Vision (ICIEV 2021), August 16-20, 2021, Japan.

35. MRH Khan, AH Uddin, AA Nahid, AK Bairagi (2021), "Skin Cancer Detection from Low-Resolution Images using Transfer Learning", 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), February 26-27, 2021, Tamil Nadu, India.

34. B. Eid, M.R. Islam, AA Nahid, M.R. Islam, A.Z. Kouzani, M.A.P. Mahmud (2020), "Improving Return on Investment for Photovoltaic Plants by Deploying Customized Load", International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD,  November 2020,Tianjin, China. [IEEE Conference]

33. M.A.A. Rafi, M.J.K. Jaman, M.N. Hasan, AA Nahid, MR.. Islam, A.Z. Kouzani, M.A..P. Mahmud (2020), "Hybrid AC/DC Microgrid Modelling for Affordable Rural Electrification", International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD,  November 2020,Tianjin, China. [IEEE Conference]

32. S. Debnath, S. Ahmed, S. Das, AA Nahid, A.K. Bairagi (2020), "IoT based Low-Cost Gas Leakage, Fire, and Temperature Detection System with Call Facilities", International Conference on Advanced Information and Communication Technology,  December 2020, Dhaka, Bangladesh. [IEEE Conference]

31. K.M.Hasan, AA Nahid, S.H.S. Newaz, M.S.Ahsan, A.Alim (2019), "Design and Development of an Aircraft Type Multi-functional Autonomous Drone", IEEE Region 10 Symposium (TENSYMP),  August 2020,  Dhaka, Bangladesh. [IEEE Conference]

30. K.M.Hasan, M.T.Hasan,  AA Nahid, S.H.S. Newaz, M.S.Ahsan (2020), "Design and Development of an Autonomous Pesticides Spraying Agricultural Drone", IEEE Region 10 Symposium (TENSYMP), August 2020,  Dhaka, Bangladesh. [IEEE Conference]

29. AA Nahid, M.T.Hasan, A.K. Bairagi (2019), "Simpler Design for Liquid Supply Line Leakage Monitoring' , International Conference on Sustainable Technologies for Industry  December 2019, Green University, Dhaka, Bangladesh. [IEEE Conference]

28. N Sikder,  ASM Arif, AA Nahid  (2019), "Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network  (ICCIT), 18-20 December 2019, Southeast University, Dhaka, Bangladesh. [IEEE Conference]

27. N Sikder, MS Chowdhury, ASM Arif, AA Nahid  (2019), " Early Blindness Detection Based on Retinal Images Using Ensemble Learning  (ICCIT), 18-20 December 2019, Southeast University, Dhaka, Bangladesh. [IEEE Conference]

26. N Sikder, MS Chowdhury, ASM Arif, AA Nahid  (2019), "Finger Movement Classification Based on Statistical and Frequency Features Extracted from Surface EMG Signals",5th International Conference on Advances in Electrical Engineering (ICAEE), 26-28 September 2019, Independent University, Dhaka, Bangladesh. [IEEE Conference]

25. N. Sikder, A. M. Shamim Arif, and AA Nahid, “Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network,” in 22nd International Conference on Computers and Information Technology (ICCIT), 2019.

24. K. Bhakta, N. Sikder, AA Nahid  , and M. M. M. Islam, “Rotating Element Bearing Fault Diagnosis Using Discrete Cosine Transform and Supervised Machine Learning Algorithm,” in 2019 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), 2019.

23. M. S. Chowdhury, F. R. Taimy, N. Sikder, and AA Nahid  , “Diabetic Retinopathy Classification with a Light Convolutional Neural Network,” in 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2019.

22. A. Rahman, N. Sikder, and AA Nahid  , “Heart Condition Monitoring Using Ensemble Technique Based on ECG Signals’ Power Spectrum,” in 2019 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), 2019.

21. N. Sikder, M. S. Chowdhury, A. M. Shamim Arif, and AA Nahid  , “Early Blindness Detection Based on Retinal Images Using Ensemble Learning,” in 22nd International Conference on Computers and Information Technology (ICCIT), 2019.

20. C. K. Bhattachargee, N. Sikder, M. T. Hasan, and AA Nahid  , “Finger Movement Classification Based on Statistical and Frequency Features Extracted from Surface EMG Signals,” in 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2019

19. N. Sikder, M. S. Chowdhury, A. S. M. Arif, and AA Nahid  , “Human Activity Recognition Using Multichannel Convolutional Neural Network,” in 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), 2019, doi: 10.1109/icaee48663.2019.8975649.

18. R. N. Toma, M. N. Hasan, AA Nahid  , and B. Li, “Electricity Theft Detection to Reduce Non-Technical Loss using Support Vector Machine in Smart Grid,” in 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019, doi: 10.1109/icasert.2019.8934601.

17. K. Bhakta, N. Sikder, AA Nahid  , and M. M. M. Islam, “Fault Diagnosis of Induction Motor Bearing Using Cepstrum-based Preprocessing and Ensemble Learning Algorithm,” in 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019, doi: 10.1109/ecace.2019.8679223.

16. M. A. M. Khan, A. Nabi, AA Nahid  , and Y. Ali, “Temperature Sensed Obstacle Avoiding Robot *,” in 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019, doi: 10.1109/ecace.2019.8679230.

15. M. S. Chowdhury, F. R. Taimy, AA Nahid  , M. Y. Ali, and F. bin Ali, “Retinal Fundus Identification Utilizing Supervised and Unsupervised Nature of Deep Neural Network,” in 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019, doi: 10.1109/icasert.2019.8934640.

14. N. Sikder, K. Bhakta, AA Nahid  , and M. M. M. Islam, “Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-based Preprocessing,” in 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), 2019, doi: 10.1109/icrest.2019.8644089.

13. A. Nandy, M. A. Alahe, S. M. Nasim Uddin, S. Alam, AA Nahid  , and M. A. Awal, “Feature Extraction and Classification of EEG Signals for Seizure Detection,” in 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), 2019, doi: 10.1109/icrest.2019.8644337.

12. AA Nahid  , F. B. Ali, and Y. Kong, “Histopathological breast-image classification with image enhancement by convolutional neural network,” in 2017 20th International Conference of Computer and Information Technology (ICCIT), 2017, doi: 10.1109/iccitechn.2017.8281815.

11. AA Nahid  , M. A. Mehrabi, and Y. Kong, “Frequency-domain information along with LSTM and GRU methods for histopathological breast-image classification,” in 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2017, doi: 10.1109/isspit.2017.8388678.

10. AA Nahid  , T. M. Khan, and Y. Kong, “Performance Analysis of Integrated Canny and Fuzzy-Logic Based (2-by-2 Cell Block) Edge-Detection Algorithms,” in 2016 European Modelling Symposium (EMS), 2016, doi: 10.1109/ems.2016.021.

9. AA Nahid, and Y. Kong, “Local and Global Feature Utilization for Breast Image Classification by Convolutional Neural Network,” in 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017, doi: 10.1109/dicta.2017.8227460.

8. AA Nahid  , T. M. Khan, and Y. Kong, “Breast Image Classification Based on Concatenated Statistical, Structural and Textural Features,” in 2016 European Modelling Symposium (EMS), 2016, doi: 10.1109/ems.2016.015.

7. AA Nahid  , Y. Kong, and M. S. Hossain, “Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms,” in 2015 IEEE International Conference on Data Science and Data Intensive Systems, 2015, doi: 10.1109/dsdis.2015.14.

6. AA Nahid  , Y. Kong, and M. N. Hasan, “Performance analysis of Canny’s edge detection method for modified threshold algorithms,” in 2015 International Conference on Electrical & Electronic Engineering (ICEEE), 2015, doi: 10.1109/ceee.2015.7428227.

5. K. M. Hasan, AA Nahid  , and K. J. Reza, “Path planning algorithm development for autonomous vacuum cleaner robots,” in 2014 International Conference on Informatics, Electronics & Vision (ICIEV), 2014, doi: 10.1109/iciev.2014.6850799.

4. AA Nahid  , K. D. Nguyen, and T. H. Chan, “Algorithm to improve the outage performance of IF Virtual MIMO system,” in 2014 Australian Communications Theory Workshop (AusCTW), 2014, doi: 10.1109/ausctw.2014.6766430.

3. K. M. Hasan, AA Nahid  , K. J. Reza, S. Khatun, and M. R. Basar, “Sensor based autonomous color line follower robot with obstacle avoidance,” in 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC), 2013, doi: 10.1109/beiac.2013.6560199.

2. K. M. Hasan, AA Nahid  , and A. Al Mamun, “Implementation of vision based object tracking robot,” in 2012 International Conference on Informatics, Electronics & Vision (ICIEV), 2012, doi: 10.1109/iciev.2012.6317485.

1. S. A. A.  Rajon, Hasan, AA Nahid  , and A. S. M. Arif, “A Generic Framework for Implementing Electronic Commerce in Developing Countries,” in 14th International Conference on Computers and Information Technology (ICCIT), 2011.

Data:
4. AAJ Jim, I Rafi, MZ Akon, U Biswas,AA Nahid, "KU-BdSL: Khulna University Bengali Sign Language dataset", Mendeley Data, Published: 3 March 2023 | Version 3 | DOI: 10.17632/scpvm2nbkm.3
3. AA Nahid, AA Arafat, T Akter, MF Ahammed, MY Ali, "KU-MWQ: A Dataset for Monitoring Water Quality Using Digital Sensors.", Mendeley Data, Published: 28 August 2020 | Version 3 | DOI: 10.17632/34rczh25kc.3.
2. AA Nahid, MAA Rafi, MSK Jaman, MN Hasan, MAP Mahmud "KU-HMG2: A Dataset of a Hybrid Micro-Grid Coupled with Photovoltaic-panel, Wind-turbine and Natural Gas Generator (For Bhola area, Bangladesh).", Mendeley Data, Published: 27 July 2020|Version 2|DOI:10.17632/85vmfpncgn.2
1. AA Nahid, N. Sikder, "KU-HAR: An Open Dataset for Human Activity Recognition.", Mendeley Data, Published: 29 June 2020 | Version 1 | DOI: 10.17632/45f952y38r.1.


Electrical Machine-I

This course gives the students an opportunity to learn the concepts of transformers, three-phase transformers, DC machine

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Electrical Machine-I Sessional

This course will help the student to practically with transformers and DC machines

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Electrical Shop Practice

This course is designed to develop skills in design and implementation of small projects based on taught course. 

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Control Systems

This course is designed to provide the basic theory required for solving complex problems of various control systems. 

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  • Electrical Machine-I
  • Electrical Machine-I Sessional
  • Electrical Shop Practice
  • Control Systems