Asta Slotkiene | Code Security | Best Researcher Award

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Assoc. Prof. Dr. Asta Slotkiene | Code Security | Best Researcher Award

Associate Professor | Vilnius Gediminas Technical University | Lithuania

Assoc. Prof. Dr. Asta Slotkiene is a Lithuanian academic and researcher specializing in informatics engineering, software systems, and e-learning technologies. She has contributed significantly to the advancement of computer science education, software quality, and information systems through her teaching, research, and leadership roles. With extensive experience across universities and international projects, she has built a strong reputation for her innovative approaches in software engineering, smart learning objects, and artificial intelligence applications. Her work bridges both academic theory and applied research, emphasizing practical impact in technological development and educational practices.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Assoc. Prof. Dr. Asta Slotkiene pursued her higher education in Lithuania, beginning with a Bachelor’s degree in Computer Science and Physics from Šiauliai University. She later continued at Kaunas University of Technology, where she completed a Master’s degree in Informatics Engineering, followed by a PhD in Technological Science with a focus on Informatics Engineering. Her academic journey laid a strong foundation for her interdisciplinary research, combining computer science, software engineering, and education. This comprehensive educational background equipped her with both technical expertise and research capacity to excel in teaching, project leadership, and scientific contributions across multiple domains.

Professional Experience

Throughout her professional career, Assoc. Prof. Dr. Asta Slotkiene has served in several leading academic and research positions. She began as a lecturer and researcher, later becoming Head of the E-Study Centre at Šiauliai University, where she pioneered digital learning initiatives. Her academic career progressed with her appointment as Associate Professor at Vilnius Gediminas Technical University, where she has been instrumental in developing courses on software engineering, information systems, and data analysis. She has collaborated on international research projects, engaged in global training programs, and shared her expertise in deep learning, artificial intelligence, and process automation. Her roles combine teaching, research, and academic leadership.

Awards and Honors

Assoc. Prof. Dr. Asta Slotkiene’s academic recognition stems from her active participation in European Union-funded projects and prestigious training programs. She has been involved in Erasmus, Tempus, and Horizon Europe initiatives, which have advanced her professional standing and visibility in the global research community. She has received grants to support innovation in software systems, employability skills, and smart interconnected systems. Through these achievements, she has been acknowledged as a dedicated researcher and educator who actively contributes to both local and international academic communities. Her invitations to international conferences and schools further highlight her recognition in the field.

Research Focus

Her research interests span across software engineering, quality modeling, smart learning objects, data analysis, and artificial intelligence in system development. She has developed innovative approaches in contextual modeling, e-learning systems, and web service quality assessment. Assoc. Prof. Dr. Asta Slotkiene’s publications emphasize multi-label text classification, sentiment analysis, phishing taxonomy, and AI-driven automation in software processes. Her collaborative projects explore rapid application development, smart secure systems, and digital transformation, connecting both academic research and industry applications. She focuses on advancing intelligent systems for education and business, with a strong commitment to enhancing the usability, efficiency, and security of modern technologies.

Publication Notes

  • Identification of software quality attributes from code defect prediction: a systematic literature review
    Published Year: 2024
    Citation: 2

  • On the development of the web service quality modelling space
    Published Year: 2023
    Citation: 6

  • A combined approach for multi-label text data classification
    Published Year: 2022
    Citation: 11

  • Financial context news sentiment analysis for the Lithuanian language
    Published Year: 2021
    Citation: 9

  • Reducing WCET Overestimations in Multi-Thread Loops with Critical Section Usage
    Published Year: 2021
    Citation: 7

Conclusion

Assoc. Prof. Dr. Asta Slotkiene represents a distinguished academic professional in informatics engineering, software development, and digital learning innovation. Her academic background, coupled with extensive teaching and research experience, has enabled her to make impactful contributions to both Lithuanian and international scientific communities. Her dedication to advancing software systems and AI-driven applications continues to inspire new methodologies in computer science education and applied research. With a portfolio of impactful projects, influential publications, and active participation in international collaborations, she stands as a committed scholar shaping the future of digital transformation and software engineering practices.

Mr. hang du | Programming | Internet of Things Award

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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

Muhammad Bilal Mahmood | Security | Best Researcher Award

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Mr. Muhammad Bilal Mahmood | Security | Best Researcher Award

PhD Scholar, Dalian University of Technology, China

Muhammad Bilal Mahmood is a dedicated researcher and educator in Software Engineering, currently pursuing his Ph.D. at Dalian University of Technology, China 🎓. With a strong foundation in Computer Engineering and extensive expertise in machine learning, natural language processing, and cybersecurity, he has contributed significantly to academia and research. As a lecturer at The University of Lahore, Pakpattan Campus, since 2017, he has been instrumental in shaping young minds and fostering innovation 💡. His research interests include deep learning, facial expression recognition, and AI-driven cybersecurity solutions.

Publication Profile

ORCID

📚 Education

Muhammad Bilal Mahmood’s academic journey reflects his passion for cutting-edge technology and innovation 🚀. He is currently a Ph.D. candidate in Software Engineering (2021–2025) at Dalian University of Technology, China. Prior to this, he earned his MS in Computer Engineering from NUST College of Electrical & Mechanical Engineering, Rawalpindi, Pakistan (2015) 🎓. His undergraduate studies in Computer System Engineering were completed at NFC Institute of Engineering & Technological Training, Multan, Pakistan (2011), laying the groundwork for his expertise in programming and research.

💼 Experience

With over six years of academic and research experience, Muhammad Bilal Mahmood has been serving as a Lecturer at The University of Lahore, Pakpattan Campus, since 2017 🏫. His responsibilities include developing system requirement specifications, designing databases, programming under strict coding guidelines, and ensuring seamless project management 📊. His ability to mentor students and collaborate with fellow researchers has made him a valuable asset in the field of software engineering.

🏆 Awards and Honors

Throughout his career, Muhammad Bilal Mahmood has been recognized for his contributions to research and academia 🏅. His innovative work in deep learning, NLP, and cybersecurity has earned him appreciation within the research community. His expertise in artificial intelligence-driven security solutions has led to impactful publications, making significant contributions to advancing technological frontiers.

🔬 Research Focus

Muhammad Bilal Mahmood’s research primarily revolves around artificial intelligence, deep learning, and cybersecurity 🔍. His work includes speech emotion recognition, malicious package detection in PyPI, and facial expression analysis using convolutional neural networks 🤖. He has also contributed to medical image processing, topic discovery in health data, and chatbot development for university applications. His interdisciplinary research bridges the gap between AI and real-world applications, improving human-computer interactions.

📝 Conclusion

Muhammad Bilal Mahmood is a passionate researcher, educator, and software engineer dedicated to advancing AI-driven solutions and cybersecurity methodologies 💡. His commitment to academia, combined with his innovative research projects, makes him a valuable contributor to the field. Through his teaching and research, he continues to inspire the next generation of engineers and scientists, pushing the boundaries of technological advancements. 🚀

📄 Publications

Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks – This research explores deep learning-based speech emotion recognition to enhance human-computer interaction. [Published in: Journal Name, Year] 📜🔗

PypiGuard: A novel meta-learning approach for enhanced malicious package detection in PyPI through static-dynamic feature fusion – This paper introduces a cutting-edge security framework for detecting malicious packages in Python’s package repository. [Published in: Journal Name, Year] 📜🔗