Assist. Prof. Dr. Abdus Sobhan | Sensor | Best Researcher Award

Assist. Prof. Dr. Abdus Sobhan | Sensor | Best Researcher Award

Assist. Professor, Alcorn State University, United States

Dr. Abdus Sobhan is an accomplished researcher and academic in the field of Food Science and Technology, currently serving as an Assistant Professor at Alcorn State University, USA. With a deep-rooted passion for biosensor development and smart food packaging, he has established a distinguished career focused on food safety innovation and sensor technology. His expertise bridges academic research and industrial application, contributing significantly to the development of electrochemical biosensors and AI-integrated detection systems for medical and agricultural advancements.

Publication Profile

Scopus

๐ŸŽ“ Education Background:

Dr. Sobhan earned his Ph.D. in Agricultural/Food Engineering from South Dakota State University, USA in 2021. He holds an M.S. in Food Science from Sangmyung University, South Korea, completed in 2018, and a B.S. in Food Engineering from Hajee Mohammad Danesh Science and Technology University, Bangladesh, in 2014.

๐Ÿง‘โ€๐Ÿซ Professional Experience:

Dr. Sobhan is currently an Assistant Professor of Food Science and Technology at Alcorn State University, a role he began in February 2024. Prior to this, he worked as a Postdoctoral Associate at the University of Arkansas from 2021 to 2024. From 2018 to 2021, he served as a Graduate Research Assistant at South Dakota State University, where he laid the foundation for his expertise in biosensors and smart packaging technologies.

๐Ÿ† Awards and Honors:

Throughout his academic journey, Dr. Sobhan has received several prestigious awards, including the International Dean’s Award from South Dakota State University in 2018, the Sangmyung Brilliant Research Scholarship in 2017, and the Woojun Education and Cultural Foundation Award between 2016 and 2018. These honors reflect his commitment to academic excellence and innovative research.

๐Ÿ” Research Focus:

Dr. Sobhan’s primary research interests lie in the development and application of biosensors for detecting pathogenic microorganisms, integration of machine learning and IoT for real-time food and health diagnostics, and the advancement of smart and sustainable packaging solutions. He also focuses on electrochemical biosensors and nano-devices tailored for food safety and medical applications, with strong involvement in collaborative and interdisciplinary research.

๐Ÿงพ Conclusion:

Dr. Abdus Sobhan stands out as a dedicated food engineer and scientist whose impactful contributions to biosensor technology and smart food packaging are driving innovation in both food and healthcare industries. With active roles as an editor and reviewer for renowned journals, and his ongoing commitment to education and scientific advancement, he is shaping the future of food safety and applied biosensor research.

๐Ÿ“š Top Publication :

Cold plasma treatment for E. coli inactivation and characterization for fresh food safety
Cited by: 5 articles

Revolutionizing Food Safety: Non-Thermal Plasma Technology for Effective Microbial Inactivation and Quality Assurance in Food Processing
Cited by: 3 articles

Comparative assessment of fresh and processed tomato (Solanum lycopersicum) pulps: impact of processing on physicochemical, antioxidant, and enzymatic behavior
Cited by: 2 articles

Enhancing the Dispersity and Electrochemical Properties of Chitosan-Coated Carbon Nanotubes for Manufacturing High-Sensitivity Biosensors
Cited by: 4 articles

Development of a glucose enzyme fuel cell based on thin film electrode using biocatalysts
Cited by: 3 articles

Development of Halloysite Nanotube-Infused Thermoset Soybean Bio-Resin for Advanced Medical Packaging
Cited by: 6 articles

A novel activated biochar-based immunosensor for rapid detection of E. coli O157:H7 in packaged foods
Cited by: 18 articles

Biosensors and biopolymer-based nanocomposites for smart food packaging: Challenges and opportunities
Cited by: 25 articles

ELHADJ MOUSTAPHA DIALLO | wireless communication | Best Researcher Award

Mr. ELHADJ MOUSTAPHA DIALLO | wireless communication | Best Researcher Award

Ph.D student candidate, Chongqing university of posts and telecommunications, China

Elhadj Moustapha Diallo is a dedicated researcher and engineer specializing in Information and Communication Engineering ๐Ÿ“ก. With extensive experience in telecommunications, signal processing, and network optimization, he has contributed significantly to cutting-edge advancements in energy-efficient resource allocation, UAV-enabled networks, and deep learning applications in wireless systems. His expertise spans both academia and industry, having worked with top organizations such as Transsion, Huawei, and MTN. His research has been widely recognized, leading to multiple publications in prestigious IEEE conferences and journals ๐Ÿ“–.

Publication Profile

๐ŸŽ“ Education

Elhadj Moustapha Diallo is currently pursuing his Ph.D. in Information and Communication Engineering at Chongqing University of Posts and Telecommunications, China (2021-2025) ๐ŸŽ“. He previously earned a Masterโ€™s degree in the same field (2018-2021) and holds a Bachelor’s degree in Telecommunications from the University Nongo Conakry, Guinea (2012-2021) ๐Ÿ“ก. His academic journey is marked by strong expertise in wireless communications, artificial intelligence applications, and optimization techniques in modern telecommunication systems.

๐Ÿ’ผ Experience

With a solid background in both research and industry, Diallo has served as an Image Evaluation Engineer at Transsion Company in China, where he specialized in image analysis and mobile camera evaluation ๐Ÿ“ท. His research work at the Chongqing Key Laboratory of Signal and Information Processing focused on 5G mobile communications, resource allocation, and IoT networks ๐ŸŒ. Prior to that, he gained valuable experience in IT support, network engineering, and telecommunications at MTN, Huawei Technology Training Center, and Contact Center International ๐Ÿ”ง.

๐Ÿ† Awards and Honors

Elhadj Moustapha Diallo has been recognized for his contributions to communication engineering, particularly in energy-efficient wireless networks ๐Ÿ…. His research has been accepted at high-profile IEEE conferences, and he has actively collaborated with leading experts in the field. His achievements in optimizing telecommunication systems using deep learning and UAV-assisted networks have positioned him as an emerging expert in wireless technologies ๐Ÿš€.

๐Ÿ”ฌ Research Focus

Dialloโ€™s research interests include energy-efficient resource allocation, UAV-enabled networks, deep learning for wireless communications, and optimization techniques for 5G and beyond ๐Ÿ“ถ. His studies explore novel approaches such as deep unfolding mechanisms, generative models for multi-carrier NOMA networks, and long-term energy consumption minimization for UAV-assisted content fetching. His innovative contributions are shaping the future of next-generation communication systems ๐ŸŒŽ.

๐Ÿ” Conclusion

Elhadj Moustapha Diallo is a highly skilled researcher and telecommunications engineer whose contributions to energy-efficient wireless networks and advanced communication technologies have earned him recognition in academia and industry ๐ŸŒŸ. His extensive research, publications, and practical experience make him a key innovator in the field of 5G, AI-driven optimization, and UAV-assisted networking. With a strong foundation in both theory and practice, Diallo continues to push the boundaries of next-generation communication systems ๐Ÿ“ก๐Ÿš€.

๐Ÿ“œ Publications

Energy Efficient Resource Allocation and Mode Selection for Content Fetching in Cellular D2D Networks (2021) – IEEE Wireless Telecommunications Symposium (WTS) ๐Ÿ“ก.

Content Fetching Delay Optimization-Based Caching and Resource Allocation for UAV-Enabled Networks (2024) – IEEE Access ๐Ÿš€.

Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms (2024) – arXiv Preprint ๐Ÿ“ถ.

Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks (2024) – Accepted at IEEE 10th International Conference on Computer and Communications (ICCC 2024) ๐Ÿ“Š.

OHDRL-Based Energy Consumption Optimization for Joint Content Fetching and Trajectory Design of UAVs (2024) – Accepted at IEEE 29th Asia Pacific Conference on Communications (APCC) ๐Ÿš.

Long-Term Energy Consumption-Minimization-based Joint Content Fetching and Trajectory Design of UAVs – Under review in Computer Communications ๐Ÿ›ฐ๏ธ.