姓 名: A. A. M. Muzahid
办公地点 :现代交通工程中心7号楼7915
办公电话:+8618800312148
电子邮箱:muzahid@sues.edu.cn
毕业学校:上海大学
研究方向
医学和网络安全中的机器学习
模式识别
3D视觉、3D特征学习、3D对象识别、3D建模、场景理解
增强现实（AR）与虚拟现实（VR）
个人简历
A.A.M. Muzahid（安东尼）现任中国bwin必赢讲师，拥有上海大学信息与通信系统博士学位，专攻3D计算机视觉领域。在学术界表现活跃，拥有丰富的研究成果与学术出版记录。在攻读博士期间，获得了2020年中国政府优秀国际学生奖学金和公益之星奖等多项殊荣。同时也是IEEE计算智能学会的会员。Muzahid的研究兴趣广泛，涵盖机器学习、模式识别、3D视觉，尤其专注于3D特征学习、3D物体识别、3D建模、场景理解及AR/VR应用。
志愿工作
主席，虚拟现实和增强现实，IEEE-ICALIP2018 会议，中国上海
2022年孟加拉国Noakhali国际机器智能和新兴技术会议（MIET2022）人工智能和软计算领域的评审人。
项目委员会成员和审查员，第二十五届国际数字图像计算:技术和应用（DICTA 2024），澳大利亚珀斯。
IEEE仪器与测量、IEEE视频技术电路与系统、IEEE多媒体、人工智能评论等期刊的审稿人。
学习与工作经历
2021.08 —— 至今:bwin必赢，讲师
2017-09 —— 2021-07:上海大学通信与信息系统博士
2013-09 —— 2016-06:重庆邮电大学信息与通信工程硕士
2007-09 —— 2011.02:Daffodil国际大学电子与电信工程学士
教学区
机器学习
机器人视觉与传感技术
虚拟现实与增强现实技术
荣誉奖项
2021.02.252020年中国政府杰出国际学生奖学金
2019.12.20上海大学公益之星奖
代表性论著（论文、著作、专利）
代表性论文
1. A. A. M. Muzahid, Hua Han, Yujin Zhang, Dawei Li, Yuhe Zhang, Junaid Jamshid, and Ferdous Sohel., “Deep learning for 3D object recognition: A survey,” Neurocomputing, p. 128436, Aug. 2024, doi: 10.1016/j.neucom.2024.128436.
2. Q. Bao, H. Han, L. Huang, and A. A. M. Muzahid, “A Convolutional Neural Network Based on Soft Attention Mechanism and Multi-Scale Fusion for Skin Cancer Classification,” Int. J. Pattern Recognit. Artif. Intell., vol. 37, no. 14, p. 2356024, Nov. 2023, DOI: 10.1142/S0218001423560244.
3. A. A. M. Muzahid, W. Wanggen, F. Sohel, M. Bennamoun, L. Hou, and H. Ullah, “Erratum to ‘Progressive conditional GAN-based augmentation for 3D object recognition’ [Neurocomputing 460 (2021) 20–30],” Neurocomputing, vol. 473, p. 158, Feb. 2022, DOI: 10.1016/j.neucom.2021.12.024.
4. A. A. M. Muzahid, Wanggen Wan, Ferdous Sohel, M. Bennamoun, Li Hou, and H. Ullah, “Progressive Conditional GAN-based Augmentation for 3D Object Recognition,”. Neurocomputing, 2022, vol. 460, pp. 20-30. DOI: 10.1016/j.neucom.2021.06.091.
5. A. A. M. Muzahid, Wanggen Wan, Ferdous Sohel, Lianyao Wu, and Li Hou, “CurveNet: Curvature-based Multitask Learning Deep Networks for 3D Object Recognition,” IEEE/CAA Journal of Automatica Sinica, 2021, vol. 8, NO. 6 pp. 1194–1204, DOI: 10.1109/JAS.2020.1003324.
6. A. A. M. Muzahid, Wan Wanggen, and Li Hou “A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches,” Computational Intelligence and Neuroscience, May 2020, vol. 2020, pp. 1–17, DOI: 10.1155/2020/5851465.
7. A. A. M. Muzahid, W. Wan, F. Sohel, N. U. Khan, O. D. Cervantes Villagomez, and H. Ullah, “3D Object Classification Using a Volumetric Deep Neural Network: An Efficient Octree guided Auxiliary Learning Approach,” IEEE Access, vol.8, no. 1, pp. 23802 – 23816, 2020, DOI: 10.1109/ACCESS.2020.2968506.
8. Lianyao Wu, Wanggen Wan, Xiaoqing Yu, Chunkai Ye, A.A.M Muzahid, “A Novel Augmented Reality Framework Based on Monocular Semi-Dense Simultaneous Localization and Mapping,” Computer Animation &Virtual Worlds, March 2020, vol. 31, DOI:10.1002/cav.1922.
9. N. U. Khan, W. Wan, S. Yu, A. A. M. Muzahid, S. Khan, and L. Hou, “A Study of User Activity Patterns and the Effect of Venue Types on City Dynamics Using Location-Based Social Network Data,” ISPRS International Journal of Geo-Information, vol. 9, no. 12, Art. no. 12, Dec. 2020, DOI:10.3390/ijgi9120733.
10. Hidayat Ullah, Wanggen Wan, Saqib Ali Haidery, Naimat Ullah Khan, Zeinab Ebrahimpour, A. A. M. Muzahid, “Spatiotemporal Patterns of Visitors in Urban Green Parks by Mining Social Media Big Data Based Upon WHO Reports,” IEEE Access, vol.8, pp. 39197 - 39211, 2020, DOI:10.1109/ACCESS.2020.2973177.
11. Qi Liu, Hidayat Ullah, Wanggen Wan, Zhangyou Peng, Li Hou, Sanam Shahla Rizvi, Saqib Ali Haidery, Tong Qu and A. A. M. Muzahid, “Categorization of Green Spaces for a Sustainable Environment and Smart City Architecture by Utilizing Big Data,” Electronics 2020, Vol.9, no.6, pp.1028, 2020, DOI:10.3390/electronics9061028.
会议论文集
1. R. Lamtoueh, A. A. M. Muzahid, Y. Zentouti, H. Han, and Y. Zhang, and H. Mahir, “Real-time Static Obstacle Avoidance Using Sensor Fusion in Robotics,” Accepted in 2024 The Sixth International Conference on Intelligent Computing in Data Sciences, Marrakech, Morocco: IEEE, Oct. 23-24, 2024.
2. A. A. M Muzahid, W. Wan, and X. Feng, “Perceptual Quality Evaluation of 3D Triangle Mesh: A Technical Review,” in 2018 International Conference on Audio, Language and Image Processing (ICALIP), Shanghai: IEEE, Jul. 2018, pp. 266–272, DOI: 10.1109/ICALIP.2018.8455210.
3. A. A. M. Muzahid, K. M. R. Ingrid, S. I. M. M. R. Mondol, and Y. Zhou, “Advanced double-talk detection algorithm based on joint signal energy and cross-correlation estimation,” in 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), Beijing, China: IEEE, Jun. 2016, pp. 303–306. DOI: 10.1109/ICCSN.2016.7586669.
4. A. A. M. Muzahid, S. I. M. M. Raton Mondol, K. M. R. Ingrid, and Y. Zhou, “An Efficient Switching Mechanism Using Voice Activity Detection for Acoustic Echo Cancellation,” in 2016 4th International Conference on Machinery, Materials and Computing Technology, Hangzhou, China, 2016, DOI: 10.2991/icmmct-16.2016.246.
1. A. A. M. Muzahid, Efficient adaptive filtering algorithms for acoustic echo cancellation: New approaches for AEC in full-duplex channel, LAMBERT Academic Publishing (LAP), London, United Kingdom, 2019, ISBN: 978-620-0-28916-2.
