Dr. Mohammad Naved Qureshi
- DEPARTMENT_STAFF.QUALIFICATION
Ph.D.(Computer Engineering), M.Tech(Computer Engineering), B.Tech (Information Technology)
- DEPARTMENT_STAFF.DESIGNATION
Assistant Professor
- DEPARTMENT_STAFF.THRUST_AREA
Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Data Analysis
- DEPARTMENT_STAFF.ADDRESS
- DEPARTMENT_STAFF.MOBILE
9411854211
- DEPARTMENT_STAFF.EMAIL
naved.ubp@amu.ac.in
- DEPARTMENT_STAFF.TIME_TABLE
Dr. Mohammad Naved Qureshi has been serving as an Assistant Professor in the Electrical Engineering Section, University Polytechnic (Boys), teaching Diploma in Computer Engineering courses since January 2015. Before this, he gained valuable experience as a Guest Faculty in the Department of Computer Engineering, Aligarh Muslim University. With a strong academic background, Mr. Qureshi holds an M.Tech in Software Engineering and has successfully qualified prestigious national examinations, including GATE and UGC-NET. Recently, he completed his Ph.D. in the field of Computer Vision and Deep Learning, further solidifying his expertise in cutting-edge technologies. His research interests include artificial intelligence, image analysis, and developing intelligent systems, making him a valuable asset to the academic and research community.
- Publication
- Nadeem Akhtar, M.N Qureshi, Mohd Vasim Ahamad, " An Improved Clustering Method for Text Documents Using Neutrosophic Logic”, Springer Nature Singapore Pte Ltd. 2017 R. Ali and M. M. S. Beg (eds.), Applications of Soft Computing for the Web, https://doi.org/10.1007/978-981-10-7098-3_10
- A. U. S. Khan, M. N. Qureshi and M. A. Qadeer, "Anti-theft application for android based devices," 2014 IEEE International Advance Computing Conference (IACC), 2014, pp. 365-369, DOI: 10.1109/IAdCC.2014.6779350.
- Azeem Ush Shan Khan, Nadeem Akhtar, and Qureshi, Mohammad Naved. "Real-Time Credit-Card Fraud Detection using Artificial Neural Network Tuned by Simulated Annealing Algorithm." Paper presented at the meeting of the, 2014.
- M. N. Qureshi, H. F. H. Aldheleai and Y. K. Tamandani, "An improved documents classification technique using association rules mining," 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2015, pp. 460-465, DOI: 10.1109/ICRCICN.2015.7434283.
- Qureshi, Mohammad Naved, and Mohd Vasim Ahamad. “An Improved Method for Image Segmentation Using K-Means Clustering with Neutrosophic Logic.” Procedia Computer Science 132 (2018): 534-540.
- M. N. Qureshi and M. S. Umar, "Analysis of Different Deep Learning Techniques for The Development of An Efficient CNN Model for Melanoma Skin Cancer Diagnosis," 2022 International Conference for Advancement in Technology (ICONAT), 2022, pp. 1-6, DOI: 10.1109/ICONAT53423.2022.9726072
- Qureshi, Mohammad Naved, and Mohammad Sarosh Umar. “Performance Evaluation of Novel Convolution Neural Network Architecture for Melanoma Skin Cancer Diagnosis on Different Hardware Processing Units.” Journal of Physics: Conference Series, vol. 1950, no. 1, IOP Publishing, Aug. 2021, p. 012039. Crossref, https://doi.org/10.1088/1742-6596/1950/1/012039
- Qureshi, Mohammad Naved, et al. “A Transfer-Learning-Based
Novel Convolution Neural Network for Melanoma Classification.” Computers, vol.
11, no. 5, MDPI AG, Apr. 2022, p. 64. Crossref,
https://doi.org/10.3390/computers11050064 - Ahmed, Mohammed Altaf, Qureshi, Mohammad Naved, et al.
“Melanoma Image Synthesis: A Review Using Generative Adversarial Networks.” Indonesian
Journal of Electrical Engineering and Computer Science, vol. 35, no. 1,
Institute of Advanced Engineering and Science, July 2024, p. 551. Crossref,
https://doi.org/10.11591/ijeecs.v35.i1.pp551-569. - M. N. Qureshi and M. Sarosh Umar, "SaRa: A Novel Activation Function with Application to Melanoma Image Classification," 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2022, pp. 854-858, doi: 10.1109/ICACRS55517.2022.10029161.