Doctorate at Department of animal nutrition peshawar , Pakistan
Mussayyab Khan Khalil, born on September 1, 1997, is a Pakistani national residing in Village Pawaka, Mohalla Ali Sherzai, Tehsil & District Peshawar, Pakistan. He can be reached at +923138803099 or via email at Khanmussayyab2016@gmail.com. His passport number is ZS4158251.
Profile :
Education:
Mussayyab completed his M.Sc. in Animal Nutrition from the University of Agriculture Peshawar in 2023, achieving a CGPA of 3.71/4.00. He earned his Bachelor’s in Doctor of Veterinary Medicine (DVM) from the same institution in 2020 with a CGPA of 3.54/4.00. His higher secondary education (HSSC) and secondary school certificate (SSC) were completed at Fazaia Degree College Peshawar in 2015 and 2013, respectively.
Professional Journey:
He has accumulated significant professional experience through a research fellowship under the Agriculture Innovation Program (AIP) for Pakistan funded by USAID from 2022 to 2023. His internships include roles at the Civil Veterinary Hospital Peshawar, AVS Pets Clinic Peshawar, Halal Research Council, Veterinary Research Institute (VRI) Peshawar, and Government Cattle Breeding & Dairy Farm Charsadda.
Honors & Awards:
Mussayyab has been recognized for his academic excellence with awards such as the “HAIER LAPTOP” during his B.Sc. studies. He also holds various certificates from his internships, training workshops, and his Registered Veterinary Medical Practitioner (RVMP) certification.
Publication Top Note
- Dual-band Independently Tunable 8-Element MIMO Antenna for 5G Smartphones
- Journal: Heliyon
- Publication Date: February 2024
- DOI: 10.1016/j.heliyon.2024.e25712
- Contributors: Ali Sufyan, Khan Bahadar Khan, Xingliang Zhang, Tauseef Ahmad Siddiqui, Abdul Aziz
- Details: This article presents a dual-band MIMO antenna designed for 5G smartphones, featuring independently tunable elements to optimize performance in both frequency bands. The study emphasizes the antenna’s compact design and effectiveness in meeting the needs of advanced wireless communication systems.
- A Compact CNN Model for Automated Detection of COVID-19 Using Thorax X-Ray Images
- Journal: Journal of Intelligent & Fuzzy Systems
- Publication Date: 2023
- DOI: 10.3233/JIFS-223704
- WOSUID: WOS:000980903000061
- Contributors: Awan, Tehreem; Khan, Khan Bahadar; Mannan, Abdul
- Details: This paper introduces a compact Convolutional Neural Network (CNN) model for the automated detection of COVID-19 from thorax X-ray images. The model aims to enhance diagnostic efficiency by providing accurate and rapid analysis of medical imaging data.
- From 5G to Beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies
- Journal: Electronics
- Publication Date: May 12, 2023
- DOI: 10.3390/electronics12102200
- Contributors: Ali Sufyan, Khan Bahadar Khan, Osama A. Khashan, Talha Mir, Usama Mir
- Details: This comprehensive survey reviews the evolution of wireless networks from 5G to beyond 5G, exploring the challenges and promising technologies in the field. The paper provides an in-depth analysis of current trends and future directions in wireless communication.
- A Review on Multimodal Medical Image Fusion: Compendious Analysis of Medical Modalities, Multimodal Databases, Fusion Techniques and Quality Metrics
- Journal: Computers in Biology and Medicine
- Publication Date: 2022
- DOI: 10.1016/J.COMPBIOMED.2022.105253
- WOSUID: WOS:000800122800007
- Contributors: Muhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, Eid Rehman, Sajid Ali Khan, Muhammad Attique Khan, Seifedine Kadry, Amir H. Gandomi
- Details: This review article provides a detailed analysis of multimodal medical image fusion, covering various medical imaging modalities, databases, fusion techniques, and quality metrics. The paper aims to advance the understanding of how different imaging techniques can be integrated to improve diagnostic accuracy.
- Smoke Removal and Image Enhancement of Laparoscopic Images by an Artificial Multi-Exposure Image Fusion Method
- Journal: Soft Computing
- Publication Date: August 2022
- DOI: 10.1007/s00500-022-06990-4
- Contributors: Muhammad Adeel Azam, Khan Bahadar Khan, Eid Rehman, Sana Ullah Khan
- Details: This article presents a method for smoke removal and image enhancement in laparoscopic images using an artificial multi-exposure image fusion technique. The proposed method aims to improve image quality and clarity, facilitating better visualization during laparoscopic procedures.
Strengths
- Diverse Research Topics: Dr. Khan has made significant contributions across various fields, including animal nutrition, 5G technology, medical imaging, and artificial intelligence. This diversity showcases his ability to apply his expertise to different research areas.
- High-Impact Publications: His research has been published in reputable journals like Heliyon, Journal of Intelligent & Fuzzy Systems, and Electronics, indicating a strong presence in both specialized and broad scientific communities.
- Advanced Research Techniques: The use of advanced methodologies, such as dual-band MIMO antennas for 5G and CNN models for COVID-19 detection, demonstrates his commitment to incorporating cutting-edge technology into his work.
- Recognition and Awards: The receipt of awards such as the “HAIER LAPTOP” during his studies highlights his academic excellence and reinforces his reputation in the field.
- Practical Applications: His research not only contributes to academic knowledge but also has practical implications, such as improving diagnostic tools and enhancing wireless communication systems.
Areas for Improvement
- Focused Research Profile: While Dr. Khan’s diverse interests are impressive, a more focused research profile could help establish deeper expertise and recognition in a specific field, potentially leading to greater impact and collaboration opportunities.
- Increased Research Funding: Securing more research grants and funding could facilitate larger-scale studies and more significant advancements in his areas of interest.
- Broader Collaborative Networks: Expanding his professional network through collaborations with international researchers and institutions could enhance the scope and visibility of his work.
- Enhanced Outreach and Engagement: Actively engaging in conferences, seminars, and workshops could increase the dissemination of his research findings and foster greater academic and professional connections.
- Further Innovation in Publications: Incorporating more innovative and interdisciplinary approaches in his publications might help address emerging challenges and set new trends in his research areas.
Conclusion
Dr. Mussayyab Khan is a promising researcher with a diverse range of interests and accomplishments. His contributions to animal nutrition, medical imaging, and advanced communication technologies highlight his versatility and innovative approach. By focusing on a more specialized research area, seeking additional funding, expanding collaborative efforts, increasing outreach, and pursuing further innovation, Dr. Khan could enhance his impact and achieve even greater recognition in his field.