Dr. Mohammad Rifat Ahmmad Rashid

Associate Professor
Department of Computer Science & Engineering

Faculty

Faculty of Sciences and Engineering

Address

A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh

Office

Ext: || Room No#
rifat.rashid@ewubd.edu

Academic Background

BSC in CSE from Khulna University

MSC in CSE from the University of Pavia, Italy

PhD in Computer and Control Engineering from the polytechnic university of Turin, Italy

Currently, I am serving as an Associate Professor in the Department of Computer Science and Engineering at East West University (EWU) Bangladesh. Before joining EWU, I worked as a researcher at the LINKS Foundation in the Pervasive Technologies Research Area, within the IoT Service Management Unit. Previously, I received my Ph.D. in Computer and Control Engineering from the Polytechnic University of Turin, and my Master’s in Computer Engineering from the University of Pavia. My research focused on Social Media Data Integration and Event Management for Smart Cities. Before that, I obtained my B.Eng. in Computer Science and Engineering from Khulna University, Bangladesh. Regarding my Ph.D. research project, I developed a data quality assessment methodology for large-scale knowledge bases. The primary emphasis was on automated knowledge base quality assessment using evolution analysis.

Areas of expertise include (but are not limited to):
- - Scientific programming using R and Python
- - Machine Learning, Deep Learning, Anomaly Detection, Time Series Analysis, and more
- - Proficiency in Deep Learning frameworks such as TensorFlow and PyTorch
- - Data Analysis for industrial internet of things (IIoT) platforms
- - Programming languages including C/C++ and Java.

Professional Experience

Associate Professor(2024- Present)
East West University Bangladesh
Assistant Professor(2022- 2024)

East West University Bangladesh

Assistant Professor (2019-2022)

University of Liberal Arts Bangladesh

Research Interest

Computer Vision, Natural Language Processing(NLP), Large Language Models(LLM), Semantic Web, Blockchain technology

Selected Publications

Publications

Gani, R., Rashid, M.R.A., Ahmed, J., Isty, M.N., Islam, M., Hasan, M., Ferdaus, M.H. and Ali, M.S., 2024. Smartphone Image Dataset to Distinguish Healthy and Unhealthy Leaves in Papaya Orchards in Bangladesh. Data in Brief, p.110599.
Niloy, N.T., Ahmed, M.R., Ananna, S.S., Kater, S., Shorna, I.J., Sneha, S.I., Ferdaus, M.H., Islam, M.M., Rashid, M.R.A., Jabid, T. and Ali, M.S., 2024. CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling. Data in Brief, p.110712.
Salehin, Y., Siddique, A., Nafisa, A.T., Jahan, I., Priyanka, M.M., Islam, R.U., Hasan, M., Rahman, A. and Rashid, M.R.A., 2024, May. A Comparative Analysis on Transfer Learning Models to Classify Banana Diseases-Fusarium Wilt and Black Sigatoka. In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT) (pp. 208-213). IEEE.
Kamal Rasel, M., Hasan, M., Rifat Ahmmad Rashid, M., Hasanul Ferdaus, M., Ariful Islam, M., Manzurul Islam, M., Sawkat Ali, M. and Islam, M., 2024. DecentraLend: A Blockchain-based Monetization for Decentralized Lending System. International Journal of Computing and Digital Systems, 15(1), pp.1679-1690.
Hasan, M., Gani, R., Rashid, M.R.A., Tarin, T.K., Kamara, R., Mou, M.Y. and Rabbi, S.F., 2024. Comprehensive Smart Smartphone Image Dataset for Plant Leaf Disease Detection and Freshness Assessment from Bangladesh Vegetable Fields. Data in Brief, p.110775.
M.R.A. Rashid, Md S. Hossain, M.D. Fahim, Md S. Islam, R.H. Prito, Md S.A. Sheikh, Md S. Ali, M. Hasan, and M. Islam, “Comprehensive dataset of annotated rice panicle image from Bangladesh”. Data in Brief, 51, (2023), p.109772. https://doi.org/10.1016/j.dib.2023.109772.
M.R.A. Rashid, K.F. Hasan, Md. R. Hasan, A. Das, M. Sultana, M. Hasan, “A Comprehensive Dataset for Sentiment and Emotion Classification from Bangladesh E-Commerce Reviews”. Data in Brief, 2023, ISSN 2667-3053.
M. Mahajebin, M.R.A. Rashid, and N. Mansoor, “Mood Classification of Bangla Songs Based on Lyrics”. In International Conference on Information, Communication and Computing Technology, pp. 585-597. Springer Nature Singapore, 2023.
Md Huzaifa, F.B. Fabin, N.T. Natasha, I. Fakir, S.A. Falguni, M. Hasan, and M.R.A. Rashid, “DeepTestDroid: A Platform for Automated Application Testing Using Deep Learning”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
N. Vasker, A.R.A. Sowrov, M. Hasan, Md S. Ali, M.R.A. Rashid, and M.M. Islam, “Unmasking Ovary Tumors: Real-Time Detection with YOLOv5”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
K.F. Arpa, T. Mittra, T. Ferdous, N. Jahan, R.A.K. Tayna, M. Hasan, M.R.A. Rashid, and Md S. Ali, “A Machine Learning and Deep Learning Integrated Model to Detect Criminal Activities”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
R.A. Rizvee, T.H. Orpa, A. Ahnaf, Md A. Kabir, M.R.A. Rashid, M.M. Islam, M. Islam, T. Jabid, and Md S. Ali, “LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases”. Journal of Agriculture and Food Research, 14, (2023), p.100787. https://doi.org/10.1016/j.jafr.2023.100787
A. Haque, M. Hasan, S.A. Suma, N. Vasker, Md M. Ashhab, Md S. Ali, M.R.A. Rashid, and M.S.H. Khan, “Detecting Pneumonia from X-Ray Images of Chest using Deep Convolutional Neural Network”. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
S. Nath, M.M. Islam, A. Chowdhury, M.R.A. Rashid, M. Islam, T. Jabid, and R. Naha, “Comprehensive Analysis of Feature Extraction Techniques and Runtime Performance Evaluation for Phishing Detection”. In 2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS), pp. 1-6. IEEE, 2023.
N.A. Bosunia, M. Hasan, J. Prity, J.J. Jabin, M.R.A. Rashid, R.A. Tuhin, “An Application of Decentralized Product Authentication System for Supply Chain Management Using Blockchain Technology”. In 26th International Conference on Computer and Information Technology (ICCIT), IEEE, 2023.
Tasnim, Syeda Tasfia, Md Ariful Islam, Rawnak Jahan Taifa, Sraboni Mahbub, and Mohammad Rifat Ahmmad Rashid. "Agri-food Traceability Using Blockchain Technology to Ensure Value Chain Management and Fair Pricing in Bangladesh." In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), pp. 1-6. IEEE, 2022.
Paul, Bijan, Aditi Roy, Khan Raqib Mahmud, and Mohammad Rifat Rashid. "Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World." Data Science for Effective Healthcare Systems (2022): 79-88.
Shihavuddin, A. S. M., Mohammad Rifat Ahmmad Rashid, Md Hasan Maruf, Muhammad Abul Hasan, Mohammad Asif ul Haq, Ratil H. Ashique, and Ahmed Al Mansur. "Image based surface damage detection of renewable energy installations using a unified deep learning approach." Energy Reports 7 (2021): 4566-4576.
Kabir, Moumita, Fatima Noor Popy, Bijan Paul, Mohammad Rifat Ahmmad Rashid, and Khan Raqib Mahmud. "Obstacle Avoiding and Fire Extinguishing Robot for Everyday Fire Security." In ICT Systems and Sustainability: Proceedings of ICT4SD 2020, Volume 1, pp. 483-491. Springer Singapore, 2021.
Sinthia, Fatema Zaman, Afsana Nasir, Bijan Paul, Mohammad Rifat Ahmmad Rashid, and Md Nasim Adnan. "Implementation of OSPFv3 in IPv4 and IPv6 for Establishing a Wide Area Network." In ICT Systems and Sustainability: Proceedings of ICT4SD 2020, Volume 1, pp. 473-481. Springer Singapore, 2021.
Saha, Shanta, Md Omar Sharif Rajme, Bijan Paul, Mohammad Rifat Ahmmad Rashid, and Khan Raqib Mahmud. "Life Saver Robotic Car for Accidental or Disaster Place Emergency Situation." In ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2, pp. 389-398. Springer Singapore, 2021.
Rashid, Mohammad Rifat Ahmmad, Davide Conzon, Xu Tao, and Enrico Ferrera. "Privacy Awareness, Risk Assessment, and Control Measures in IoT Platforms: BRAIN-IoT Approach." SECURITY RISK MANAGEMENT (2020): 69.
Mohammad Rifat Ahmmad Rashid, Davide Conzon, Xu Tao, Enrico Ferrera. "Privacy Awareness for IoT Platforms: BRAIN-IoT Approach" Security and privacy in the internet of things: Challenges and solutions 27 (2020): 24. DOI:10.3233/AISE200003
Shihavuddin, A., and Mohammad Rifat Ahmmad Rashid. "DhakaAI." Version V1 (2020).
Conzon, Davide, Mohammad Rifat Ahmmad Rashid, Xu Tao, Angel Soriano, Richard Nicholson, and Enrico Ferrera. "BRAIN-IoT: Model-based framework for dependable sensing and actuation in intelligent decentralized IoT systems." In 2019 4th International Conference on Computing, Communications and Security (ICCCS), pp. 1-8. IEEE, 2019.
Rashid, Mohammad, Marco Torchiano, Giuseppe Rizzo, Nandana Mihindukulasooriya, and Oscar Corcho. "A quality assessment approach for evolving knowledge bases." Semantic Web 10, no. 2 (2019): 349-383.
Rashid, Mohammad Rifat Ahmmad, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, Oscar Corcho, and Raúl García-Castro. "Completeness and consistency analysis for evolving knowledge bases." Journal of Web Semantics 54 (2019): 48-71.
Mohammad Rifat Ahmmad Rashid, "Automated Knowledgebase Quality Assessment and Validation Based on Evolution Analysis", Politecnico di Torino, DOI: 10.6092/POLITO/PORTO/2713858
Mihindukulasooriya, Nandana, Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo, Raúl García-Castro, Oscar Corcho, and Marco Torchiano. "RDF shape induction using knowledge base profiling." In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 1952-1959. 2018.
Rashid, Mohammad, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, and Oscar Corcho. "Knowledge Base Evolution Analysis: A Case Study in the Tourism Domain." In Current Trends in Web Engineering: ICWE 2018 International Workshops, MATWEP, EnWot, KD-WEB, WEOD, TourismKG, Cáceres, Spain, June 5, 2018, Revised Selected Papers 18, pp. 268-278. Springer International Publishing, 2018.
Rashid, Mohammad, Giuseppe Rizzo, Nandana Sampath Mihindukulasooriya, Marco Torchiano, and Oscar Corcho. "KBQ: a tool for Knowledge Base Quality assessment using evolution analysis." (2017): 58-63.
Rashid, Mohammad Rifat Ahmmad, Giuseppe Rizzo, Nandana Mihindukulasooriya, Marco Torchiano and Óscar Corcho. “KBQ - A Tool for Knowledge Base Quality Assessment Using Evolution Analysis.” K-CAP Workshops (2017).
Rashid, Mohammad, and Marco Torchiano. "A systematic literature review of open data quality in practice." In 2nd OPEN DATA RESEARCH SYMPOSIUM (ODRS), vol. 2. 2016.
Rashid, Mohammad, Luca Ardito, and Marco Torchiano. "Energy consumption analysis of algorithms implementations." In 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 1-4. IEEE, 2015.
Rashid, Mohammad, Luca Ardito, and Marco Torchiano. "Energy consumption analysis of image encoding and decoding algorithms." In 2015 IEEE/ACM 4th International Workshop on Green and Sustainable Software, pp. 15-21. IEEE, 2015.

Dr. Mohammad Rifat Ahmmad Rashid

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