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Keynote Speakers
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Prof. Robertas Damaševičius
Kaunas University of Technology, Lithuanian
Robertas Damaševičius received his Ph.D. in Informatics Engineering from Kaunas University of Technology (KTU) in 2005. Currently, he is a Professor at Software Engineering Department, KTU. He is also Professor at Department of Applied Informatics, Vytautas Magnus University, Kaunas; and Adjunct Professor at Faculty of Applied Mathematics, Silesian University of Technology, Poland. He is the author of over 400 papers as well as a monograph published by Springer. He is also the Editor-in-Chief of the Information Technology and Control journal and has been Guest Editor of several invited issues of international journals (IEEE Access, Biomed Research International, Computational Intelligence and Neuroscience, Journal of Universal Computer Science).
Title: AI-Driven Signal Processing and Wireless Sensing for Smart Forest Monitoring in Forest 4.0
Abstract: Forests are vital ecosystems that regulate climate, preserve biodiversity, and support sustainable industries. However, climate change, deforestation, and environmental degradation pose significant threats to global forest resources. The emergence of Forest 4.0, an integration of Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twins, offers new possibilities for real-time forest monitoring, predictive analytics, and sustainable resource management to predict deforestation risks, wildfire outbreaks, pest infestations, and carbon sequestration trends. This keynote explores the role of AI-driven signal processing and wireless sensing in transforming forest monitoring and conservation efforts. We will discuss how LiDAR, hyperspectral imaging, bioacoustics, and electromagnetic sensing—combined with machine learning algorithms—enable wildfire detection, illegal logging detection, and biodiversity assessment. The talk will highlight wireless communication technologies for ensuring seamless data transmission in remote forest areas. The keynote will conclude with case studies and future research directions, emphasizing the importance of building intelligent, data-driven forest monitoring systems.
Keywords: Forest 4.0, Wireless sensor networks, Forest Digital Twins, Bioacoustics monitoring, LiDAR and hyperspectral imaging.
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Invited Speakers
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Dr. Shahid Karim
ILMA University, Pakistan
Dr. Shahid Karim, an accomplished scholar and innovator, earned his B.S. degree in Electronics Engineering from Comsats University, Pakistan, in 2010, followed by an M.S. degree in Electronic and Information Engineering from Xi’an Jiaotong University, China, in 2015. He achieved his Ph.D. in Information and Communication Engineering from Harbin Institute of Technology, China, in 2019. Currently, he is an Associate Professor and graduate supervisor at the School of Software Engineering, ILMA University, Pakistan.
Dr. Shahid has made significant contributions to the field, authoring over 50 technical articles in esteemed scientific journals and conference proceedings. He serves as an associate editor and reviewer for various esteemed journals. His research is at the forefront of Artificial Intelligence, Computer Vision, Image Processing, Medical Imaging, Remote Sensing, and Pattern Recognition.
Title： Spectral-Polarization Image Fusion: Approaching Computer Vision Applications
Abstract：Spectral-polarization image fusion is a transformative approach in computer vision, offering enhanced capabilities for target detection, object recognition, and environmental perception across multiple domains. This research encompasses advancements in multidimensional imaging systems, integrating spectral and polarization data to improve image clarity, feature extraction, and information enhancement. By leveraging deep learning, novel fusion frameworks have been developed to address key challenges such as information loss, multimodal feature alignment, and dataset diversity. The study presents an in-depth analysis of state-of-the-art fusion methodologies, including the MTDFusion framework for infrared and visible image integration, which has demonstrated optimal performance through rigorous evaluations. Additionally, innovations in hyperspectral-polarization imaging and multispectral-panchromatic imagers enable improved scene understanding and object segmentation in complex environments. These advancements have significant implications for applications in medical imaging, defense, remote sensing, and industrial inspection, where enhanced image interpretation is crucial. The research also explores the role of artificial intelligence in optimizing fusion strategies, automating feature selection, and improving real-time processing efficiency. While substantial progress has been made, challenges such as dataset limitations, noise suppression, and computational efficiency remain open for further exploration. The future of spectral-polarization image fusion lies in refining multimodal integration frameworks, enhancing self-supervised learning techniques, and developing innovative imaging technologies that push the boundaries of modern computer vision. Through interdisciplinary collaboration and continued technological advancements, this research aims to bridge gaps in imaging science and pave the way for next-generation intelligent vision systems.
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Dr. David Williams
Dublin Business School, Ireland
David Williams is the Academic Director of Computing at Dublin Business School, Ireland. An experienced technologist and educator, he bridges the gap between technology skills and innovative teaching. He's also a member of the Ethics Audit Committee at the National Forum for Teaching and Learning in Higher Education. His research interests include Technology Enhanced Learning, Game Technology, Machine Learning, Artificial Intelligence, Data Analytics, and Cybersecurity.
Title：Sensors, Algorithms, and Society: Ethical and Regulatory Imperatives for AI-Enhanced Optoelectronics.
Abstract：The rapid integration of artificial intelligence into optoelectronic systems is transforming industries from healthcare to autonomous vehicles. However, this convergence of sensors, algorithms, and data raises profound ethical and regulatory challenges. This keynote address will explore the critical intersection of AI governance and optoelectronic technologies, examining the societal implications of AI-driven sensor networks, advanced imaging systems, and other related applications. We will delve into the necessity of establishing robust regulatory frameworks that address issues such as data privacy, algorithmic bias, and the potential for misuse. Furthermore, we will discuss the importance of fostering ethical considerations in the design and deployment of AI-enhanced optoelectronic systems, ensuring that technological advancements serve the best interests of society. This talk aims to provide a comprehensive overview of the current landscape, highlighting the urgent need for collaborative efforts between researchers, policymakers, and industry leaders to navigate the evolving ethical and regulatory terrain of AI in optoelectronics.
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