Prof. Dr. Mir Sajjad Hussain Talpur | Computer Science | Best Researcher Award

Professor/ HoD at Information Technology Centre, Sindh Agriculture University Tandojam, Pakistan.

Prof. Dr. Mir Sajjad Hussain Talpur is an accomplished academic and researcher in the field of Computer Science and Technology, with significant contributions to IoT, smart systems, and cybersecurity. Born on November 2, 1979, in Pakistan, he is fluent in English, Urdu, Sindhi, and Chinese, which supports his ability to collaborate across international borders. With over two decades of professional experience, Dr. Talpur has worked on multidisciplinary projects, guided by a mission to apply emerging technologies for societal and industrial benefit.

Professional Profile

Scopus

🎓 Education

Dr. Talpur completed his Ph.D. in Computer Science and Technology from Central South University, China, in 2015 with an impressive 3.7/4.0 CGPA. Prior to this, he earned an MS in Information Technology from Shah Abdul Latif University (SALU), Khairpur, in 2003 with a 3.8/4.0 CGPA, demonstrating consistent academic excellence. Additionally, he pursued a Postgraduate Diploma in Science and Technology Policy Development from Mehran University of Engineering and Technology (MUET), Jamshoro, in 2008, securing a First Class with 77.63% marks.

💼 Experience

Dr. Talpur has held key roles in both academic and research settings. He is actively engaged in teaching, project supervision, and conference organization, and has contributed to the academic upliftment of institutions through various additional assignments. His employment history reflects deep involvement in university-level education, international collaboration, and leadership roles in IEEE-sponsored conferences.

🔬 Research Interests

His core research interests lie in Internet of Things (IoT), Smart Systems, Cybersecurity, Trust Evaluation in Mobile Social Networks, and Information and Communication Technologies (ICT). Dr. Talpur is currently leading an IoT-based Smart Aquaculture Control & Monitoring System project, funded by the Sindh Higher Education Commission, which aims to modernize the agriculture sector through real-time monitoring solutions. He was also involved in a prestigious Chinese Ministry of Education project from 2012 to 2014, focusing on theoretical frameworks and algorithms for trust evaluation.

🏆 Honors & Awards

Dr. Talpur’s work has earned him recognition at national and international levels. He has been invited to serve as a Publicity Chair and Track Chair at prominent global conferences, including the IEEE TrustCom (2020) in China, SpaCCS (2017) in Guangzhou, MICSmart (2021) in Spain, and the IEEE Humanitarian Technology Conference (HTC 2024) in Pakistan. These roles reflect the respect he commands in the global research community.

Top Noted Publications:

Title: Detection of Cotton Leaf Disease with Machine Learning Model
Authors: U. Hyder, Mir Sajjad Hussain Talpur (M.S.H. Talpur)
Citations: 4
Index: Turkish Journal of Engineering
Year of Publication: 2024

Conclusion:

Prof. Dr. Mir Sajjad Hussain Talpur exemplifies the qualities of a modern researcher: technically skilled, globally connected, and socially responsive. With a strong academic foundation, impactful research, and dedicated involvement in international academic communities, he is a worthy candidate for recognition such as the Best Researcher Award. Further documentation of his publications and project outcomes would enhance the visibility of his contributions even more

Mr. Upendra Meesala | Agriculture and Technology | Best Researcher Award |

Student, at Velagapudi Ramakrishna Siddhartha Engineering College , India.

Upendra Meesala is an aspiring researcher and technologist with a strong background in Information Technology, specializing in machine learning, artificial intelligence, and automation. With a keen interest in solving real-world problems, he has contributed to research in computer vision, IoT-based solutions, and hybrid learning applications. His expertise spans multiple domains, including low-code application development, backend services, and frontend technologies. Upendra has demonstrated exceptional academic performance, technical proficiency, and innovation, making significant strides in research and development.

Education 🎓

Upendra is currently pursuing a B.Tech in Information Technology at Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, with a stellar CGPA of 9.30 (expected graduation: April 2025). He completed his Senior Secondary education at Sri Viswasanthi College, Vuyyuru, achieving an impressive 95.3%.

Professional Experience 💼

Pega Apprenticeship (June 2024 – Feb 2025, Remote): Gaining hands-on experience in Pega BPM and CRM platforms, application development, system architecture, and automation tools.

Web Development Internship (May – June 2024, Oneable Pvt Ltd, Hyderabad – Virtual): Worked on modern web technologies, backend services, and React-based UI enhancements, integrating Appwrite and Firebase.

Research Interests 🌍

His research primarily revolves around machine learning, computer vision, IoT applications, and automation. Notable projects include the Bird Repeller Using OpenCV, which leverages AI-based object detection to mitigate crop damage, and a Hybrid Learning Application for Rural Education, aiming to bridge educational gaps in underserved regions. His work integrates deep learning, OpenCV, Raspberry Pi, and automation tools to develop impactful technological solutions.

Awards & Honors 🏆

Winner, IIC Innovation Competition (2022): Presented an IoT-based Bird Repellent System to mitigate crop damage.

Academic Excellence: Achieved 5th rank in the 1st semester and 2nd rank in the 3rd semester of his B.Tech program.

Multiple Professional Certifications: Earned prestigious certifications in PEGA (CSA & SSA), Machine Learning, Business & Text Mining (NPTEL), and AI for Everyone (Coursera).

Top Noted Publications 📚

ICDSA – MNIT Jaipur (July 2024): Presented a research paper on “Bridging Educational Gaps in Rural Landscapes with a Hybrid Learning Application.”

ICECMSN – Evolutionary Computing & Mobile Sustainable Networks (Nov 2024): Published a journal titled “Bird Repeller Using OpenCV”, demonstrating AI-driven solutions for agricultural automation.

Project Contributions: Developed a low-code application for pre-owned vehicle purchases using PEGA, integrating OTP-based authentication, automated workflows, and Razorpay payment systems.

Conclusion

Upendra Meesala is a strong candidate for the Best Researcher Award, given his academic achievements, research contributions, and technical expertise. However, to maximize his chances, he should focus on publishing in reputed journals, expanding his research scope, and seeking collaborations in advanced AI applications.