Scholar
| Name: | Md. Solaiman Mia |
| Designation: | Assistant Professor |
| Department: | Computer Science and Engineering |
| Research Area: | Artificial Intelligence, Machine Learning, Reversible Logic, Quantum Computing |
| Organization: | University of Dhaka |
| Contact: | Contact Reviewer |
| Qualification: | Masters |
| About: | Md. Solaiman Mia received the B. Sc. (Hons.) and M. S. degree with the Dept. of Computer Science and Engineering from University of Dhaka, Bangladesh. He is currently working as an Assistant Professor in the Dept. of CSE, Green University of Bangladesh. Before this, he worked as an Assistant Professor in the Dept. of CSE in Shanto-Mariam University of Creative Technology and Dhaka International University. He also worked as a Lecturer in the Dept. of CSE in Hamdard University Bangladesh and Asian University of Bangladesh. He received the MOICT Fellowship from Bangladesh Government for his research works. He is currently serving as a Professional Member of IEEE, IEEE Computer Society, Life Time Member of Bangladesh Computer Society and ISOC Bangladesh Dhaka Chapter. He has some experiences as a Reviewer in some international journals and conferences. Some of his research works have been published in some reputed national and international journals and conferences. An international research book is also published by him. His research interests include Reversible Logic Synthesis, Machine Learning, Quantum Computing, Data Mining, Internet of Things (IoT), etc. |
| Status: |
| Author: | Hafiz Md Hasan Babu, Md Solaiman Mia |
| Title: | Design of a compact reversible fault tolerant division circuit |
| Publication Year: ISSN: Volume: Issue: |
2016 0959-8324 51 |
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| Author: | Hafiz Md Babu, Md Solaiman Mia, Ashis Kumer Biswas |
| Title: | Efficient techniques for fault detection and correction of reversible circuits |
| Publication Year: ISSN: Volume: Issue: |
2017 0923-8174 33 5 |
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| Author: | Najmus Sakib Sizan, Diganta Dey and Md. Solaiman Mia |
| Title: | Application of IoT for Developing Sustainable and Smart Farming |
| Publication Year: ISSN: Volume: Issue: |
2022 2663-7804 4 4 |
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| More Details | Click here |