Prof. Dr. Md. Rubaiyat Hossain Mondal

অধ্যাপক ড: মো: রুবাইয়াত হোসেন মন্ডল

Professor

Research Interest

Machine Learning, Bioinformatics, Wireless Communication, Optical Wireless, Image Processing

Education

• Ph.D., Monash University, Australia
• M.Sc. Engg. (EEE), Bangladesh University of Engineering and Technology (BUET)
• B.Sc. Engg.(EEE), Bangladesh University of Engineering and Technology (BUET)

Selected Publications

Book Chapters

• S. Bharati, M. R. H. Mondal, P. Podder, U. Kose, Explainable Artificial Intelligence (XAI) with IoHT for Smart Healthcare: A Review. Interpretable Cognitive Internet of Things for Healthcare, Springer, 1-24. 2023, Jun 2023.
• Podder, P., Bharati, S., Mondal, M., & Khamparia, A., Rethinking the Transfer Learning Architecture for Respiratory Diseases and COVID-19 Diagnosis. In Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) (pp. 105-121). Springer, Singapore, Dec 2022.
• Podder, P., Mondal, M. R. H., & Kamruzzaman, J., Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern. In Applications of Computational Intelligence in Multi-Disciplinary Research (pp. 1-15). Academic Press., Dec 2022.
• Bharati, S., Podder, P., Mondal, M. R. H., Podder, P., & Kose, U., A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19. Data Science for COVID-19, 487-505, Dec 2022.
• S. Bharati, P. K. Paul, P. Podder, M R. H. Mondal, The role of IoMT during pandemics. in Computational Intelligence for Managing Pandemics, Edited by: A. Khamparia, M. R. H. Mondal, P. Podder, B. Bhushan, V. H. C. Albuquerque and S. Kumar, Sep. 2021., Oct 2021.
• S. Bharati, M. R. H. Mondal, Applications and challenges of AI-driven IoHT for combating pandemics: a review. in Computational Intelligence for Managing Pandemics, Edited by: A. Khamparia, M. R. H. Mondal, P. Podder, B. Bhushan, V. H. C. Albuquerque and S. Kumar, Sep. 2021., Sep 2021.
• P. Podder, S. Bharati, M. R. H. Mondal, and U. Kose, Application of Machine Learning for the Diagnosis of COVID-19. in “Data Science for COVID-19”, Utku Kose Deepak Gupta Victor de Albuquerque, Ashish Khanna (Eds.), vol. 1, pp. 175-194. Academic Press, May 2021., May 2021.
• Prajoy Podder, Subrato Bharati, M. R. H. Mondal, Automated gastric cancer detection and classification using machine learning. In “Artificial Intelligence for Data-Driven Medical Diagnosis”, Deepak Gupta, Utku Kose, Bao Le Nguyen and Siddhartha Bhattacharyya (Eds.), Walter de Gruyter GmbH & Co KG, 2021., Jan 2021.
• Md Robiul Alam Robel, Subrato Bharati, Prajoy Podder, and M. R. H. Mondal, IoT Driven Healthcare Monitoring System. In “Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications”, D. Gupta, A. Khamparia (Eds), John Wiley & Sons, Dec 2020., Dec 2020.
• Md Robiul Alam Robel, Subrato Bharati, Prajoy Podder, and M. R. H. Mondal, Integrated Cloud Based Library Management in Intelligent IoT driven applications. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications”, D. Gupta, A. Khamparia (Eds), John Wiley & Sons, Dec 2020.
• Subrato Bharati, Prajoy Podder, and M. R. H. Mondal, Pinto Kumar Paul, Applications and Challenges of Cloud Integrated IoMT. In “Cognitive Internet of Medical Things for Smart Healthcare”, Hassanien, A.E., Khamparia, A., Gupta, D., Shankar, K., Slowik, A. (Eds.), Springer, Oct. 2020., Oct 2020.

Journal Publications

• Hassan, R., Mondal, M. R. H., and Ahamed, S. I. , UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation. PLoS ONE (Scopus & SCIE indexed), 19(6), e0304771, Jun 2024.
• Alam, F. B., Podder, P., and Mondal, M. R. H. , RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases. PLoS ONE (Scopus & SCIE indexed), 18(12): e0293125, Dec 2023.
• Ahmmed, S., Mondal, M. R. H., Mia, M. R., Adibuzzaman, M., Hoque, A. S. M. L., and Ahamed, S. I. , A novel approach for standardizing clinical laboratory categorical test results using machine learning and string distance similarity. Heliyon (Scopus & SCIE indexed), Elsevier, vol. 9, issue 11, e21523, Nov 2023.
• Sarker, N., Podder, P., Mondal, M. R. H., Shafin, S. S. and Kamruzzaman, J., Applications of Machine Learning and Deep Learning in Antenna Design, Optimization, and Selection: A Review. IEEE Access (Scopus & SCIE indexed), vol. 11, pp. 103890-103915, Sep 2023.
• P. Podder, F. B. Alam, M. R. H. Mondal, M. J. Hasan, A. Rohan, S. Bharati, Rethinking Densely Connected Convolutional Networks for Diagnosing Infectious Diseases. Computers (Scopus & ESCI indexed). 2023; 12(5):95., May 2023.
• S. Bharati, M. R. H. Mondal, P. Podder, A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?. IEEE Transactions on Artificial Intelligence, (Scopus indexed), 2023, Apr 2023.
• Purnita, K. S., Mondal, M. R. H., Machine learning for DCO-OFDM based LiFi. PLoS ONE 16(11): e0259955, Feb 2023.
• Mondal, M. R. H., Bharati, S. , Podder, P., CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images. PLoS ONE 16(10): e0259179, Feb 2023.
• Begum, A. M., Mondal, M. R. H., Podder, P., & Kamruzzaman, J., Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets.. BioMedInformatics (Scopus indexed), 4(1), 477-488, Jan 2023.
• Mondal, M. R. M., Bharati, S., Podder, P., and Kamruzzaman, J. , Deep Learning and Federated Learning for Screening COVID-19: A Review. BioMedInformatics (Scopus indexed), 3(3):691-713, 2023, Jan 2023.
• Ahmmed, S. , Podder, P., Mondal, M. R. H., Rahman, S. M. A., Kannan, S., Hasan, M. J., Rohan, A., and Prosvirin, A. E. , Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis. BioMedInformatics (Scopus indexed), 3, 1124-1144, 2023, Jan 2023.
• P. Podder, S. R. Das, M. R. H. Mondal, S. Bharati, A. Maliha, M. J. Hasan, F. Piltan, LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases. Sensors (Scopus & SCIE indexed) 2023, 23, 480., Jan 2023.
• S. Rana, M.R.H. Mondal and J. Kamruzzaman, RBFK cipher: a randomized butterfly architecture-based lightweight block cipher for IoT devices in the edge computing environment. Cybersecurity, Springer (Scopus & ESCI indexed), 6, 3 (2023)., Jan 2023.
• A. K. Galib, N. Sarker, M. R. H. Mondal, Novel Multiband Millimeter Wave Antennas. Journal of Communications (Scopus), 2023., Jan 2023.
• Bharati, S., Mondal, M. R. H., Podder, P., & Prasath, V. B. , Deep Learning for Medical Image Registration: A Comprehensive Review. International Journal of Computer Information Systems and Industrial Management Applications, (Scopus indexed), MIR Labs, USA, Volume 14, pp. 173-190, Dec 2022.
• Bharati, S., Mondal, M. R. H., Podder, P., & Prasath, V. S. , Federated learning: Applications, challenges and future directions. International Journal of Hybrid Intelligent Systems, IOS Press, Netherlands, 18(1-2), 19-35, Jun 2022.
• Nitish Ranjan Bhowmik, Mohammad Arifuzzaman, M. R. H. Mondal, Sentiment analysis on Bangla text using extended lexicon dictionary and deep learning algorithms. Array, Elsevier (Scopus indexed), vol. 13, Mar 2022.
• I. Nowrin; M. R. H. Mondal; R. Islam; J. Kamruzzaman, A Novel OFDM Format and a Machine Learning Based Dimming Control for LiFi. Electronics, MDPI, 10, 2103, Sep 2021.
• M. R. H. Mondal, S. Bharati and P. Podder, Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review. Current Medical Imaging, vol. 17, Jul 2021.
• Subrato Bharati, Prajoy Podder, M. R. H. Mondal, V.B. Surya Prasath, Medical Imaging with Deep Learning for COVID19 Diagnosis: A Comprehensive Review. International Journal of Computer Information Systems and Industrial Management Applications, MIR Labs, USA, vol. 13, pp. 091-112, Jul 2021.
• Prajoy Podder, Subrato Bharati, M. R. H. Mondal, Pinto Kumar Paul, Utku Kose, Artificial Neural Network for Cybersecurity: A Comprehensive Review. Journal of Information Assurance and Security, MIR Labs, USA, vol. 16, no. 1, Jul 2021.
• S. Bharati, P. Podder, M. R. H. Mondal, V. B. S. Prasath, CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images. International journal of hybrid intelligent systems, IOS Press, Netherlands, Jan. 2021: 1 – 15., Jul 2021.
• S. Rana and M. R. H. Mondal, A New Key Generation Technique based on Neural Networks for Lightweight Block Ciphers. International Journal of Advanced Computer Science and Applications- vol. 12, no. 6, pp. 208-216, Jun 2021, Jun 2021.
• M. I. Khan, M. R. H. Mondal, Analysis of Motion Blur on Spatial OFDM Based Pixelated Optical Communication Systems. Wireless Personal Communications, Springer, 2021, Apr 2021.
• N. R. Bhowmik, M. Arifuzzaman, M. R. H. Mondal, M. S. Islam, Bangla Text Sentiment Analysis Using Supervised Machine Learning with Extended Lexicon Dictionary. Natural Language Processing Research, Atlantic Press, France, vol. 1, no 3-4, pp. 34 – 45, Mar. 2021, Mar 2021.
• Prajoy Podder, Aditya Khamparia, M. R. H. Mondal, Mohammad Atikur Rahman, Subrato Bharati, Forecasting the Spread of COVID-19 and ICU Requirements. International Journal of Online and Biomedical Engineering (ESCI and Scopus indexed), Austria, vol. 17, no. 5, pp. 81-99, 2021., Mar 2021.
• S. Bharati, P. Podder, M. R. H. Mondal, Hybrid deep learning for detecting lung diseases from X-ray images. Informatics in Medicine Unlocked, Elsevier, Volume 20, 2020,100391, Jul 2020.
• M. R. H. Mondal, S. Bharati, P. Podder, P. Podder, Data Analytics for Novel Coronavirus Disease. Informatics in Medicine Unlocked, Elsevier, vol. 20, 2020, 100374, Jun 2020.
• S. Bharati, P. Podder, and M. R. H. Mondal, Visualization and Prediction of Energy Consumption in Smart Homes. International Journal of Hybrid Intelligent Systems, IOS Press, Netherlands, 1 Jan. 2020: 81 – 97, DOI: 10.3233/HIS-200283., Jun 2020.
• S. A. Munni, R. Islam and M. R. H. Mondal, Performance Evaluation of ASCO-OFDM Based LiFi. International Journal of Future Computer and Communication, Singapore, vol. 9, no. 2, pp. 33-39., Jun 2020.
• S. Bharati, P. Podder, M. R. H. Mondal, and M. R. A. Robel, Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems. Journal of Information Assurance and Security, MIR Labs, USA, vol. 15 (2020), pp. 153-164., May 2020.
• S. Bharati, P. Podder, M. R. H. Mondal, Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review. International Journal of Computer Information Systems and Industrial Management Applications, MIR Labs, USA, vol. 12 (2020), pp. 125-137., May 2020.
• F. Khanam, I. Nowrin, and M. R. H. Mondal, Data Visualization and Analyzation of COVID-19. Journal of Scientific Research and Reports, vol. 26, no. 3, pp. 42-52, Apr 2020.
• Masud, M. R. A. and Mondal, M. R. H., Data-Driven Diagnosis of Spinal Abnormalities Using Feature Selection and Machine Learning Algorithms. PLOS One, 15(2): e0228422; https://doi.org/10.1371/journal.pone.0228422, Feb 2020.
• Kabir M. A., and Mondal M. R. H., Intensity Gradient Based Edge Detection For Pixelated Communication Systems. The Journal of Engineering, IET, DOI: 10.1049/joe.2019.0822, Sep 2019.
• Islam, R. and Mondal, M. R. H., Hybrid DCO-OFDM, ACO-OFDM and PAM-DMT for Dimmable LiFi. Optik - Int. Journal for Light and Electron Optics, Elsevier, vol. 180C, pp. 939-952, Nov 2018.
• Mondal, M. R. H., Comparison of DCO-OFDM, ADO-OFDM, HDC-OFDM and HNC-OFDM for Optical Wireless Communications. Journal of Optical Communications, De Gruyter, Germany, Nov 2018.
• Sarker N., Islam M. A., and Mondal M. R. H., Two Novel Multiband Centimetre-Wave Patch Antennas for a Novel OFDM Based RFID System. Journal of Communications (JCM), ISSN: 1796-2021, vol. 13, no. 6, Jun. 2018, May 2018.
• Kabir M. A. and Mondal M. R. H., Edge-Based and Prediction-Based Transformations for Lossless Image Compression. Journal of Imaging, MDPI, Switzerland, vol. 4, no. 5, DOI: 10.3390/jimaging4050064, May 2018.
• Alam M. S., Asad M. I. H. B., and Mondal M. R. H., An Online Examination Management System for Geographically Dispersed Test Centres to Prevent Question Leakage: A Case Study of Bangladesh. Journal of Scientific Research & Reports, vol. 16, no. 5, pp. 1-11, DOI: 10.9734/JSRR/2017/37178, Nov 2017.
• Mondal, M. R. H., Impact of spatial sampling frequency offset and motion blur on optical wireless systems using spatial OFDM. EURASIP Journal of Wireless Communications and Networking, Springer, DOI: 10.1186/s13638-016-0741-y, Oct 2016.
• Mondal, M. R. H., and Panta, K., Performance Analysis of Spatial OFDM for Pixelated Optical Wireless Systems. Transactions on Emerging Telecommunications Technologies, John Wiley & Sons Ltd, DOI: 10.1002/ett.2948, May 2015.
• Mondal, M. R. H., Armstrong, J., , Analysis of the effect of vignetting on MIMO optical wireless systems using spatial OFDM. Journal of Lightwave Technology, IEEE & OSA, vol. 32, no. 5, pp. 922-929, Mar 2014.
• P. Podder, M. R. H. Mondal, S. Bharati and P. K. Paul, Review on the Security Threats of Internet of Things. International Journal of Computer Applications 176(41):37-45, July 2020, Jul 2010.
• F. Hossain, M. Raihan-Al-Masud and M. R. H. Mondal, Effectiveness of Deep Learning in Real Time Object Detection. International Journal of Computer Applications, 176(41):55-60, July 2020, Jul 2010.
• M. I. H. Khan and M. R. H. Mondal, Data-Driven Diagnosis of Heart Disease. International Journal of Computer Applications, 176(41):46-54, July 2020, Jul 2010.
• Mondal, M. R. H., and Majumder, S. P., Analytical Performance Evaluation of Space Time Coded MIMO OFDM Systems Impaired by Fading and Timing Jitter. Journal of Communications (JCM), ISSN: 1796-2021, vol. 4, Jul 2009.

Conference Publications

• Upama, P. B., Sridevi, P., Rabbani, M., Syam, M., Bashar, A. H. M., Mondal, M. R. H., Khan, R. A., Ahamed, S. I., A Comparative Study of Classical and Quantum Algorithms for Heart Disease Prediction Using Patients’ Vital Signs. IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Osaka, Japan, Jul 2024.
• Podder, P., & Mondal, M. R. H., LBPX: A Novel Feature Extraction Method for Iris Recognition. In International Conference on Image Processing and Capsule Networks (pp. 193-205). Springer, Cham, Jan 2022.
• Bharati, S., Podder, P., Mondal, M. R. H., Surya Prasath, V. B., & Gandhi, N. , Ensemble Learning for Data-Driven Diagnosis of Polycystic Ovary Syndrome. In International Conference on Intelligent Systems Design and Applications (pp. 1250-1259). Springer, Cham, Jan 2022.
• Podder Prajoy and M. R. H. Mondal, Machine Learning to Predict COVID-19 and ICU Requirement. The 11th International Conference on Electrical and Computer Engineering (ICECE 2020), Dhaka, Bangladesh, 17-19 Dec 2020., Dec 2020.
• Md. Istiaq Habib Khan and M. R. H. Mondal, Effectiveness of Data Driven Diagnosis of Heart Disease. The 11th International Conference on Electrical and Computer Engineering (ICECE 2020), Dhaka, Bangladesh, 17-19 Dec 2020., Dec 2020.
• Md. Noor Alam, Prajoy Podder, Subrato Bharati and M. R. H. Mondal, Effective Machine Learning Approaches for Credit Card Fraud Detection. World Congress on Information and Communication Technologies (WICT), Springer, On the world wide web, 16-18 December 2020., Dec 2020.
• Atik Mahabub, Al-Zadid Sultan Bin Habib, M. R. H. Mondal, Subrato Bharati and Prajoy Podder, Effectiveness of Ensemble Machine Learning Algorithms in Weather Forecasting of Bangladesh. World Congress on Information and Communication Technologies (WICT), Springer, On the world wide web, 16-18 December 2020., Dec 2020.
• Subrato Bharati, Prajoy Podder, M. R. H. Mondal and Niketa Gandhi, Optimized NASNet for Diagnosis of COVID-19 from Lung CT Images. International Conference on Intelligent Systems Design and Applications (ISDA), Springer, On the world wide web, 12-15 December 2020., Dec 2020.
• S. Bharati, P. Podder, and M. R. H. Mondal, Diagnosis of Polycystic Ovary Syndrome Using Machine Learning Algorithms. IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Bangladesh, Jun 2020.
• Galib, A. K., Sarker, N., and Mondal, M. R. H., Two Compact Multiband Millimetre Wave Antennas for Wireless Communication. 3rd IEEE International Conference on Telecommunications and Photonics (ICTP), 2019, Dec 2019.
• Sarker, N. and Mondal, M. R. H., Design and Analysis of Double E-shaped Array Antennas for an Outdoor RFID System. IEEE International Conference on Electrical and Computer Engineering (ICECE), BUET, Dhaka, Bangladesh, Dec. 2018, Dec 2018.
• Khan M. I and Mondal M. R. H., Effectiveness of LED Index Modulation and Non DC Biased OFDM for Optical Wireless Communication. IEEE International Conference on Telecommunication and Photonics (ICTP), BUET, Dhaka, Bangladesh, Dec 2017.
• Mondal M. R. H. and Faruque R. B., Hybrid Diversity Combined OFDM for LiFi. IEEE International Conference on Telecommunication and Photonics (ICTP), BUET, Dhaka, Bangladesh, Dec 2017.
• Mishu, M. M. H., Mondal M. R. H., Effectiveness of Filter Bank Multicarrier Modulation for 5G Wireless Communications. International Conference on Advances in Electronics Engineering (ICAEE), Dhaka, Bangladesh, Sep 2017.
• Kabir M. A. and Mondal M. R. H., Edge-based Transformation and Entropy Coding for Lossless Image Compression. International Conference on Electrical, Computer and Communication Engineering (ECCE 2017), Cox's Bazar, Bangladesh, Feb 2017.
• Tazin N. and Mondal M. R. H., Optimal Biased Spatial OFDM for Peak Power Limited Optical Wireless Channels. 10th International Conference on Signal Processing and Communication Systems (ICSPCS), Gold Coast, Australia, Dec 2016.
• Mondal M. R. H. and Armstrong J., Impact of Linear Misalignment on a Spatial OFDM Based Pixelated System. 18th Asia Pacific Conference on Communications(APCC), South Korea, Oct 2012.
• Mondal M. R. H. and Armstrong J., The Effect of Defocus Blur on a Spatial OFDM Optical Wireless Communication System. 14th International Conference on Transparent Optical Networks (ICTON), England, UK, Jun 2012.
• Mondal M. R. H., Panta K. R., and Armstrong J., Performance of Two Dimensional Asymmetrically Clipped Optical OFDM. IEEE Global Communications Conference (GLOBECOM): OWC Workshop, Florida, USA, Dec 2010.
• Mondal M. R. H. and Hossain M., Performance Evaluation of Multiple-Antenna DS-CDMA Wireless Communication Systems with Different Diversity Combining Methods. Australasian Telecommunication Networks and Applications Conference (ATNAC), Canberra, Australia, Nov 2009.
• Mondal M. R. H. and Majumder S. P., Analytical performance evaluation of space time coded MIMO OFDM systems impaired by timing jitter. 11th International Conference on Computer and Information Technology (ICCIT), Khulna, Bangladesh, Dec 2008.
• Mondal M. R. H. and Majumder S. P., Performance limitations due to timing synchronization error on a space-time-coded OFDM wireless communication system. International Symposium on High Capacity Optical Networks and Enabling Technologies (HONET), Dubai, U.A.E., Nov 2007.