R&D Executive at Khadija Foods, Pakistan
Muhammad Muzzammil Sajjad is a dynamic researcher and engineer with a strong background in food engineering, artificial intelligence, and computer vision. He combines academic rigor with practical experience, focusing on AI-driven solutions for agriculture and food processing. His work involves developing machine learning models for disease detection, fruit maturity prediction, and quality assessment using deep learning and image processing techniques. With a deep understanding of both engineering principles and software technologies, Mr. Sajjad has demonstrated the ability to deliver impactful solutions that address real-world challenges in food security and smart farming. He has contributed to peer-reviewed publications, developed mobile applications for disease detection, and participated in cross-functional roles in the food industry. Alongside his research, he is also a skilled graphic designer and has been active in academic societies and student leadership. His unique blend of technical expertise, creativity, and passion for innovation makes him a promising contributor to science and technology.
Professional Profile
Education🎓
Muhammad Muzzammil Sajjad completed his higher education at the University of Agriculture Faisalabad, one of Pakistan’s leading institutions for agricultural and engineering sciences. He earned a Master of Science (Hons) in Food Engineering, where his thesis focused on developing an AI-based image processing method for detecting citrus canker diseases. This research emphasized the integration of deep learning and mobile application development for smart agricultural solutions. Prior to this, he earned his Bachelor’s degree in Food Engineering from the same university, during which he designed and fabricated a citrus juice extractor as part of his final year project. His educational journey is characterized by a strong emphasis on innovation, practical problem-solving, and multidisciplinary integration. In addition to formal academic programs, Mr. Sajjad has completed numerous online courses and certifications in deep learning, MATLAB programming, neural networks, mobile app development, and AutoCAD, reflecting his commitment to continuous learning and professional development.
Professional Experience📝
Muhammad Muzzammil Sajjad has gained significant professional experience in both industry and freelance roles, contributing to quality assurance, production management, and technical development. Currently serving as a Quality Control Executive at Khadija Foods in Faisalabad, he performs analytical testing, ensures compliance with food safety standards, and supports process optimization. Previously, he worked as a Production and QA Officer at Madina Sweets and Bakers, where he oversaw daily operations, enforced hygiene standards, and improved production efficiency. Beyond traditional roles, he has worked as a freelance graphic designer on Fiverr, delivering logo designs, animations, PDF forms, and vector illustrations for clients globally. His ability to manage diverse projects demonstrates strong organizational and communication skills. Earlier in his career, he completed an internship at Dawn Bread, where he gained hands-on experience in bakery product processing and operations. This diverse professional background strengthens his adaptability and enhances his ability to merge technical innovation with practical execution.
Research Interest🔎
Muhammad Muzzammil Sajjad’s research interests lie at the intersection of agricultural engineering, artificial intelligence, computer vision, and precision agriculture. He is particularly focused on the development of AI-based models for disease detection, quality control, and fruit maturity prediction in postharvest systems. His work integrates deep learning, convolutional neural networks (CNNs), and attention mechanisms to solve complex problems in image analysis and classification. He is also interested in engineering design and robotics applications in the food sector, aiming to develop autonomous systems that improve productivity and reduce waste. His goal is to leverage modern AI technologies to create practical solutions that support sustainable and intelligent agriculture. Mr. Sajjad’s work is application-driven, with a strong emphasis on usability in real-world farming and food processing environments. By combining computational intelligence with field-specific expertise, he contributes toward a future where agriculture is more data-driven, efficient, and environmentally responsible.
Award and Honor🏆
Muhammad Muzzammil Sajjad has received several awards and recognitions that reflect his academic excellence and commitment to leadership. He was awarded a Silver Medal for securing academic distinction in his undergraduate studies in Food Engineering at the University of Agriculture Faisalabad. His consistent academic performance also earned him the Rafhan Merit and Need-Based Scholarship, granted by Rafhan Maize Products Co. Ltd. for outstanding achievements and leadership potential. He was further recognized with the University Merit Scholarship, highlighting his strong dedication to scholarly pursuits. In addition to academic honors, Mr. Sajjad has actively participated in co-curricular activities, serving as a graphic designer for student societies and participating in sports competitions, including badminton and basketball. These accolades not only highlight his academic capabilities but also his well-rounded personality, involvement in student life, and proactive attitude. His achievements establish a strong foundation for continued growth and excellence in research and professional endeavors.
Research Skill🔬
Muhammad Muzzammil Sajjad possesses a robust set of research skills spanning deep learning, image processing, software development, and engineering design. He is proficient in Python and MATLAB for AI model development and data analysis, with expertise in convolutional neural networks (CNNs), attention modules, and transfer learning techniques. He has experience in mobile app development using Android Studio and React Native, allowing for real-time deployment of AI models in agricultural applications. His design and simulation skills include tools like AutoCAD, SolidWorks, and Ansys, essential for prototype development and mechanical design in food engineering. He is adept in MATLAB modeling, EES calculations, and using MS Excel for data evaluation. Additionally, he has developed technical reports, academic manuscripts, and graphical representations for scientific communication. These interdisciplinary skills enable him to manage all aspects of a research project — from design and experimentation to analysis, visualization, and practical implementation in industry settings.
Conclusion💡
Muhammad Muzzammil Sajjad is a deserving candidate for the Best Researcher Award due to his innovative work at the intersection of food engineering and artificial intelligence. His research contributions, particularly in AI-based image processing for disease detection and quality monitoring in agriculture, address critical challenges in food security and sustainable farming. With a strong foundation in both academic research and industry practice, he has demonstrated a unique ability to translate complex technologies into practical solutions that benefit society. Looking ahead, his potential to lead interdisciplinary research, foster international collaborations, and contribute to the advancement of intelligent agricultural systems positions him as a future leader in the field.
Publications Top Noted✍
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Title: Advancement in Artificial Intelligence for On-Farm Fruit Sorting and Transportation
Authors: Z. Zhou, U. Zahid, Y. Majeed, Nisha, S. Mustafa, M. M. Sajjad, H. D. Butt, L. Fu
Year: 2023
Citations: 40
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Title: Conventional and Advanced Extraction Methods of Some Bioactive Compounds with Health Benefits of Food and Plant Waste: A Comprehensive Review
Authors: M. Waseem, Y. Majeed, T. Nadeem, L. H. Naqvi, M. A. Khalid, M. M. Sajjad, …
Year: 2023
Citations: 36
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Title: Climate Change, Flood Disaster, and Food Insecurity in Pakistan
Authors: M. Waseem, Y. Majeed, T. Nadeem, L. H. Naqvi, M. A. Khalid, M. Shafiq, …
Year: 2022
Citations: 3