Dr. Permanand Soothar

Mehran University of Engineering and Technology, Electronic and Telecommunication Engineering, Faculty Member

Nanjing University of Information Science and Technology, School of Electronic Engineering and Optoelectronics Technology, Graduate Student

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I am Dr. Permanand Soothar, a dedicated researcher and academic in the field of Information and Communication Engineering, specializing in electromagnetic fields and microwave technology. I earned my doctoral degree from the prestigious School of Electronic Engineering and Optoelectronics Technology at Nanjing University of Science and Technology, China, under the esteemed Chinese Scholarship Council (CSC). This fully-funded scholarship provided me with the opportunity to advance my research in the dynamic field of electromagnetics and microwave systems.

I completed my Master's degree in a joint collaboration between Mehran University of Engineering and Technology (MUET), Pakistan, and Aalborg University, Denmark, as part of the European Commission's Mobility for Life exchange program. During this program, I had the privilege of conducting cutting-edge research at Aalborg University, further expanding my knowledge and skill set in electronic and communication systems.

My academic journey began with a Bachelor’s degree in Electronic Engineering from Mehran University, Jamshoro, Sindh, Pakistan, where I laid the foundation for my specialization in electronic and communication systems.

Currently, I serve as a faculty/government officer at Mehran University of Engineering and Technology, where I continue to contribute to the academic and research community. As I look toward the future, I am actively seeking post-doctoral opportunities in developed countries to enhance my research expertise further and contribute to advanced scientific developments in the field of electromagnetic engineering and communication systems. In addition to academic positions, I am also open to industry roles that align with my expertise and aspirations for professional growth.

With a strong background in both academic research and practical engineering applications, I am committed to furthering my contributions to the global scientific community.
Supervisors: Prof. Dr. Wu Wen, Prof. Dr. Wang Hao, Prof. Dr. Bhawani Shankar Chowdhry, and Prof. Dr. Aftab Ahmed Memon.
Phone: +92 3463849139
Address: C/O, Mr. Lachman Das, Registrar, New Administration Block, Mehran University of Engineering & Technology, 76062, Jamshoro. Sindh, Pakistan.

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An Object Detection Framework Based on Deep Features and High-Quality Object Locations

IIETA, 2021

Objection detection has long been a fundamental issue in computer vision. Despite being widely st... more Objection detection has long been a fundamental issue in computer vision. Despite being widely studied, it remains a challenging task in the current body of knowledge. Many researchers are eager to develop a more robust and efficient mechanism for object detection. In the extant literature, promising results are achieved by many novel approaches of object detection and classification. However, there is ample room to further enhance the detection efficiency. Therefore, this paper proposes an image object detection and classification, using a deep neural network (DNN) for based on high-quality object locations. The proposed method firstly derives high-quality class-independent object proposals (locations) through computing multiple hierarchical segments with super pixels. Next, the proposals were ranked by region score, i.e., several contours wholly enclosed in the proposed region. After that, the top-ranking object proposal was adopted for post-classification by the DNN. During the post-classification, the network extracts the eigenvectors from the proposals, and then maps the features with the softmax classifier, thereby determining the class of each object. The proposed method was found superior to traditional approaches through an evaluation on Pascal VOC 2007 Dataset.

Dr. Permanand Soothar

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