Dr. Abdullah-Al Nahid

Dr. Abdullah-Al Nahid
Professor

Email:

[email protected]

Contact:

+8801948820119

Address:

Room No.- ECE 1439, Electronics and Communication Engineering Discipline, Dr. Syttendranath Academic Building (Academic Building 1), Khulna University, Khulna 9208.

Personal Page
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Dr. Abdullah-Al Nahid is a Professor in the Electronics and Communication Engineering (ECE) Discipline at Khulna University, Khulna-9208, Bangladesh. He earned his B.Sc. in Electronics and Communication Engineering from Khulna University in 2007, and M.Sc. in Telecommunication Engineering from the University of South Australia in 2014, and a Ph.D. from Macquarie University, Sydney, in 2018. His research interests include machine learning, biomedical image processing, and data classification. Currently he is working in the Graph Neural Network field for image and data classification. He has published more than 100 papers in different scientific journals and conferences. Due to his scientific and research contribution, has has received Vice-Chancellor Award-2021, from Khulna University.

Research Gate Google Scholar Orcid Scopus IEEE Member # 95695376

PhD in Engineering (2015-2018)

School of Engineering, Macquarie University, Sydney, Australia.

Thesis Title: Histopathological Breast-Cancer Image Classification using Machine-Learning Techniques.

Major: Machine Learning, Big-data Analysis.

Masters in Engineering Telecommunication (Research) (2012-2014)

Institute for Telecommunications Research,

University of South Australia, Adelaide, Australia.

Thesis Title: Outage Analysis For Integer Forcing Virtual MIMO Systems.

Major: Telecommunication Engineering.

B.Sc. in Engineering (2002-2006)

Electronics and Communication Engineering Discipline

Khulna University, Khulna-9208, Bangladesh.

Machine Learning, Big Data, Computer Vision, Artificial Intelligence,

Biomedical Signal Processing, Data Classification, Graph Neural Network.

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	6-01-2022	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
12	Developing Novel Diagnostic and Intervention Schemes for Physical and Neurological Rehabilitation using Deep Learning Methods.	Principal Investigator	01-01-2023	12-01-2024	National

Professor(Grade 2)

Electronics and Communication Engineering Discipline,

Khulna University, Khulna-9208, Bangladesh.(2024–till)

Responsibilities: Developing and designing undergraduate and master’s courses, conducting undergraduate and masters courses, supervise under-graduate and master students, organizing seminars and tours.

Professor(Grade 3)

Electronics and Communication Engineering Discipline,

Khulna University, Khulna-9208, Bangladesh.

Responsibilities: Developing and designing under-graduate and masters courses, conducting undergraduate and masters courses, supervise under-graduate and master students, organizing seminars and tours.(2020–2024)

Associate Professor

Electronics and Communication Engineering Discipline,

Khulna University, Khulna-9208, Bangladesh.(2016–2020)

Responsibilities: Developing and designing under-graduate and masters courses, conducting undergraduate and masters courses, supervise under-graduate and master students, organizing seminars and tours.

Assistant Professor

Electronics and Communication Engineering Discipline,

Khulna University, Khulna-9208, Bangladesh.(2012–2016)

Responsibilities: Developing and designing under-graduate and masters courses, conducting undergraduate and masters courses, supervise under-graduate and master students, organizing seminars and tours.

Lecturer

Electronics and Communication Engineering Discipline,

Khulna University, Khulna-9208, Bangladesh.

Responsibilities: Developing and designing under-graduate courses, conducting undergraduate and masters courses, supervise under-graduate and master students, organizing seminars and tours.(2009–2012)

Teaching Assistant

School of Engineering, Macquarie University,

Sydney, Australia.(2016–2017)

Responsibilities: Conducting courses, grading answer papers, technical writing, organizing seminars.

VICE-CHANCELLOR’S AWARD 2021, Khulna University, in recognition of outstanding contribution in Research & Academic Excellence.

International Macquarie University Research Excellence Scholarship (iMQRES). (2015-2018)

Funding Authority: Macquarie University, Sydney, Australia.

Institute for Telecommunication Research Scholarship. (2012-2014)

Funding Authority: University of South Australia, Adelaide, Australia.

University of South Australia Scholarship for Master’s degree. (2012-2014)

Funding Authority: University of South Australia, Adelaide, Australia.

Supervision

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

No Data Available

coming soon...

Journal Papers:

54. N Sikder, MAM Khan, AK Bairagi, M Masud, JJ Tiang, AA Nahid (2024), "Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images", Scientific Reports 14 (1), 28954.

53. MJ Raihan, MI Labib, AAJ Jim, JJ Tiang, U Biswas, AA Nahid (2024), "Bengali-sign: A machine learning-based bengali sign language interpretation for deaf and non-verbal people", Sensors 24 (16), 5351.

52. J Ferdaus, EA Rochy, U Biswas, JJ Tiang, AA Nahid (2024), "Analyzing Diabetes Detection and Classification: A Bibliometric Review (2000–2023)", Sensors 24 (16), 5346.

51. T Tahsin, KM Mumenin, H Akter, JJ Tiang, AA Nahid (2024), "Machine Learning-Based Stroke Patient Rehabilitation Stage Classification Using Kinect Data", Applied Sciences 14 (15), 6700.

50. A A J Jim, I Rafi, J J Tiang, U Biswas, AA Nahid (2024), "KUNet-An Optimized AI Based Bengali Sign Language Translator for Hearing Impaired and Non Verbal People", IEEE Access 12, 155052-155063.

49. M A Khan, R W Harseno, S-H Kee, AA Nahid (2023), "Development of AI-and robotics-assisted automated pavement-crack-evaluation system", Remote Sens. 15(14).

48. K M Mumenin, P Biswas, M A Khan, A S Alammary, AA Nahid (2023), "A Modified Aquila-Based Optimized XGBoost Framework for Detecting Probable Seizure Status in Neonates", Sensors(16).

47. K R Hasan, A B Tuli, M A Khan, S-H Kee, M A Samad, AA Nahid (2023), "Deep Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

46. A A J Jim, I Rafi, M Z Akon, U Biswas, AA Nahid (2023), "KU-BdSL: An open dataset for Bengali sign language recognition", Data in Brief.

45. M A Khan, S-H Kee, AA Nahid (2023), "Vision-Based Concrete-Crack Detection on Railway Sleepers Using Dense U-Net Model", Algorithms 16(12).

44. IA Talin, MH Abid, MA Samad*, ID Azpíroz, I Diez, I Ashraf*, AA Nahid (2023) , "Exploring Factors Influencing the Severity of Pregnancy Anemia in India: A Study Using Proportional Odds Model", Scientific Reports.

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.

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.

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 Running

Electrical Machine-I Sessional This course will help the student to practically with transformers and DC machines Running

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

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

Electrical Machine-I

Electrical Machine-I Sessional

Electrical Shop Practice

Control Systems