Preexcy Tupas | Web Development | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Preexcy Tupas | Web Development | Best Researcher Award

RDI Chairperson | Romblon State University | Philippines

Ms. Preexcy Tupas is an accomplished academic and researcher recognized for her dedication to advancing information technology education and research. She has actively contributed to the growth of her institution through research leadership, faculty engagement, curriculum development, and student mentorship. Her work demonstrates a strong commitment to innovation, inclusivity, and collaboration, resulting in published studies, award-winning projects, and impactful community extension programs. With expertise in artificial intelligence, data mining, internet of things, and software engineering, she has become a driving force in shaping academic and research excellence while supporting both faculty and students in achieving success.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

She earned her Bachelor of Science in Information Technology from West Visayas State University, where she was recognized for her programming skills and leadership. She then pursued a Master in Information Technology at the Technological Institute of the Philippines in Manila, specializing in artificial intelligence, data mining, and internet of things, completing a significant capstone project that applied IoT in transit systems. Continuing her academic journey, she enrolled in the Doctor in Information Technology program at the same institution, immersing herself in applied research in partnership with government agencies to strengthen information systems and ensure institutional continuity in public service.

Professional Experience

She began her teaching career as an instructor, where she actively contributed to curriculum development, institutional accreditation, and student mentoring. She later served as Assistant Professor I, initiating and supporting faculty research projects, which led to numerous presentations and recognition in research forums. As Assistant Professor II and Research Chairperson, she has continued to lead faculty in research development, spearhead extension projects like Project iSign for inclusivity, and guide the publication of studies exceeding institutional goals. Her career reflects steady growth in academic leadership, research innovation, and extension services, ensuring that her institution maintains strong visibility in national and international platforms.

Awards and Honors

Throughout her career, she has received recognition for her innovative research and development projects, such as earning top placements in research symposia, conferences, and hackathons. Her projects have been awarded distinctions for their relevance and innovation, including awards for outstanding research and best presenter recognition in academic conferences. She has also guided her students to win in startup challenges, hackathons, and innovation competitions, showcasing her mentorship strength. Additionally, her extension projects promoting inclusivity through technology for differently-abled communities have earned positive evaluations, further affirming her role in driving impactful research and community engagement.

Research Focus

Her research focuses on applied computing, artificial intelligence, internet of things, mobile application development, and educational technologies. She explores how digital solutions can address real-world issues, including ornithological identification, financial security systems, and inclusive education for marginalized communities. She has published works in international journals and conference proceedings, with notable studies on image-based recognition systems, information security, and transformative learning approaches. She also actively presents her findings in regional and international conferences, where her works often receive recognition. Her research direction combines academic rigor with societal impact, emphasizing innovation, accessibility, and practical applications.

Publication Top Notes

User Acceptance of IBON (Image-Based Ornithological Identification) Monitoring in a Mobile Platform: A TAM-Based Study
Published Year: 2025
Citation: 1

Design and Development of RDI Monitoring System of RSU’s Funded Research Projects
Published Year: 2025
Citation: 1

Transformative learning media for Generation Z: Integrating moral values through interactive e-books in Islamic education
Published Year: 2024
Citation: 9

Computer System Evaluation: Information Security for Electronic Money Transfer Services
Published Year: 2024
Citation: 2

IBON: Image based ornithological identification mobile application-A mobile application development for image based classification of birds in Tablas
Published Year: 2024
Citation: 3

Conclusion

Ms. Preexcy Tupas stands out as a dynamic researcher, educator, and leader whose professional journey is marked by innovation and dedication to education. Her career highlights include enhancing faculty research engagement, producing high-impact studies, and mentoring students toward academic and professional excellence. With her commitment to research, teaching, and community extension, she continues to strengthen her institution’s visibility while contributing significantly to the academic and scientific community. Her expertise, awards, and publications reflect a well-rounded professional who prioritizes collaboration and innovation, making her a valuable contributor to both academic growth and societal development.

Mr. hang du | Programming | Internet of Things Award

Published on by Computer Scientists Awards

Mr. hang du | Programming | Internet of Things Award

student, Nanjing Forestry University, China

Du Hang , a passionate researcher and aspiring innovator in the field of electronic information and FPGA-based hardware acceleration, is currently pursuing his Master’s degree at Nanjing Forestry University. Born in January 2000 in Nanyang, Henan Province, Du Hang has developed a strong academic and technical foundation in electrical engineering and embedded systems. As a member of the Communist Party of China, he is committed to academic excellence and practical innovation in electronic information systems. With a focus on hardware-software co-design, Du actively contributes to high-performance computing projects and has already published scholarly work in international journals.

Publication Profile

Scopus

🎓Education Background:

Du Hang is presently enrolled in the Master’s program in Electronic Information at Nanjing Forestry University (2022.09–2025.06). His coursework includes FPGA technology and application, C/C++ programming, embedded system design, and integrated circuit principles. He completed his undergraduate degree in Electrical Engineering and Automation at Henan University of Science and Technology (2018.09–2022.06), where he gained foundational knowledge in digital electronic technology, power systems, analog circuits, and motor control.

💼Professional Experience:

Du Hang has rich project experience involving advanced hardware design and system-level integration. His work includes the automatic focusing design of a thermal infrared camera using FPGA, FPGA-based machine vision defect detection systems, and the YOLOv4-tiny accelerator design using HLS for real-time object detection. He also led the development of a PC-based temperature and humidity data display system using STM32 and Visual Studio, and implemented a handwritten digit recognition system using PYNQ and LeNet. These projects highlight his strong command over Vivado, HLS, Vitis, and embedded systems, as well as his proficiency in hardware debugging using oscilloscopes and soldering tools.

🏆Awards and Honors:

Du Hang was awarded Second Prize in the 7th JiChuang Competition (East China Division) for his FPGA-based machine vision defect detection system. He holds two patents—one on a hardware acceleration system for target detection and another on a convolutional neural network acceleration architecture based on FPGA. His achievements demonstrate not only technical capability but also innovation under resource-constrained environments.

🔬Research Focus:

Du Hang’s research centers on FPGA-accelerated deep learning, hardware-software co-design, real-time signal processing, and embedded system optimization. He focuses on designing lightweight and high-speed neural network accelerators with techniques such as loop unrolling, channel parallelism, and double-buffer pipelining to enhance throughput and computational efficiency. His work contributes to applications in industrial automation, smart vision, and intelligent embedded systems.

🔚Conclusion:

Du Hang is a dynamic and highly motivated young engineer and researcher whose expertise lies in bridging the gap between algorithm design and hardware implementation. His ability to manage interdisciplinary projects, from coding to PCB-level execution, places him on a promising trajectory in the fields of electronic information and embedded AI systems. With a blend of academic excellence, innovation, and practical skills, Du Hang is poised to make significant contributions to future advancements in intelligent hardware systems.

📚 Top Publication Notes

FPGA Accelerated Deep Learning for Industrial and Engineering Applications: Optimal Design Under Resource Constraints
 Journal: Electronics (Switzerland), 2025
 Published Year: 2025
 Authors: Liu Yanyi, Du Hang, Wu Yin, Mo Tianli
 Cited by: 1 article