The department is dedicated to providing a dynamic learning environment that nurtures creativity, critical thinking, and problem-solving skills among our students. We offer a rigorous curriculum that covers a wide range of subjects, including sensor networks, embedded systems, artificial intelligence, machine learning, control systems, and robotics algorithms. Through a combination of theoretical coursework, hands-on laboratory sessions, and real-world projects, students of this department gain both theoretical knowledge and practical expertise in IoT and Robotics Engineering. The faculty members of this department are enriched in diversified fields, actively collaborate with industry partners, and participate in national and international research collaborations, ensuring that the curriculum remains up-to-date and industry relevant.
The department is equipped with state-of-the-art laboratories and research facilities to facilitate experiential learning and hands-on experimentation. The laboratories are: (1) Programming Lab (2) Networking Lab (3) IoT Lab (4) Robotics Lab (5) Digital Electronic and Microprocessor Lab (6) Big Data Lab. Students have access to advanced equipment, simulation tools, and software platforms commonly used in the field. Besides, students have the advantage of accessing a comprehensive digital library that provides them with access to a wide range of books and resources. The flip classroom approach and digital classroom facilities employed by the department promote active learning, student collaboration, and the integration of technology into the teaching and learning process. LMS facilities like Moodle, UMS, and a customized departmental LMS offer a seamless digital learning experience, enabling students to access materials, interact, submit assignments, track progress, and collaborate.
In line with our commitment to fostering innovation and entrepreneurship, the department collaborates with leading companies, startups, and research organizations to provide students with internship opportunities, industry projects, and access to the latest technological advancements. The department also encourages students to showcase their innovative ideas and projects through exhibitions, competitions, and entrepreneurial events. The department also encourages students to participate in co-curricular activities, workshops, seminars, and industry visits to broaden their perspectives and enhance their professional skills.
The Scope of IoT and Robotics Engineering
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Date | Title | View/Download |
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01/01/2024 | Class Routine V2 IRE | View |
29/12/2023 | Class Routine January 2024 Version 01 | View |
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1 | Parkinson's Disease Detection Using Different CNN Architectures with Effective Feature Selection Approach in Journal of Information Technology ,Volume 12 , Issue June 2023,2023 |
2 | An Effective Single Image Dehazing Method to Enhance Image Visibility in Journal of Information Technology ,Volume 12 , Issue June 2023,2023 |
3 | A Machine Learning Approach for Emotion Classification in Bengali Speech. [Paper Link] |
4 | Prediction of Breast Cancer using Traditional and Ensemble Technique: A Machine Learning Approach [Paper Link] |
5 | A fine tune robust transfer learning based approach for brain tumor detection using VGG-16 [Paper Link] |
6 | Algorithmic Approach to Minimize the Transportation Cost by Double Average Method in 20th International Mathematics Conference ,2017 [Paper Link] |
7 | Mutual Information based feature selection for nurse care activity recognition in 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th In ,2020 [Paper Link] |
8 | Nurse care activity recognition: a GRU-based approach with attention mechanism in Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Compu ,2019 [Paper Link] |
9 | A Comparative Study of Different Embedding Methods for Context-based Bengali Next Word Prediction in Dhaka University Journal of Applied Science and Engineering ,Volume 7 , Issue 2,2022 [Paper Link] |
10 | A Segmentation and Labeling Tool for Constructing a Dataset for Bangla Optical Character Recognition in Jagannath University Journal of Science ,Volume 9 , Issue 1,2022 [Paper Link] |
11 | A Novel Method for Diagnosing Alzheimer’s Disease from MRI Scans using the ResNet50 Feature Extractor and the SVM Classifier in International Journal of Advanced Computer Science and Applications(IJACSA) ,Volume 14 , Issue 4,2023 [Paper Link] |
12 | Prediction of Death Counts Based on Short-term Mortality Fluctuations Data Series using Multi-output Regression Models in International Journal of Advanced Computer Science and Applications ,Volume 14 , Issue 5,2023 [Paper Link] |
13 | Iot based low-cost posture and bluetooth controlled robot for disabled and virus affected people in International Journal of Advanced Computer Science and Applications ,Volume 13 , Issue 8,2022 [Paper Link] |
14 | Clinically Adaptable Machine Learning Model To Identify Early Appreciable Features of Diabetes In Bangladesh in Intelligent Medicine ,2023 [Paper Link] |
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