Vikas Verma | Computer Science | Young Scientist Award

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Mr. Vikas Verma | Computer Science
| Young Scientist Award

The ICFAI University, Jaipur | India

Dr. Vikas Verma’s research contributions focus extensively on Software Defined Networking (SDN), Machine Learning, and Network Optimization, emphasizing energy efficiency, intelligent routing, and data-driven automation. His doctoral research, “Flow Classification and Energy Efficient Routing in Software Defined Networks Using Machine Learning Techniques,” explores the integration of adaptive algorithms for sustainable network management. His projects, including “Routing Optimization for Software-Defined Networking Using Machine Learning Techniques and Multi-Domain Controller” and “Industry-Academia Collaboration of SME with Academics,” demonstrate practical applications of AI in networking and innovation ecosystems. Dr. Verma’s publications in high-impact journals and conferences, such as the Philippine Journal of Science, Suranaree Journal of Science and Technology, IEEE Xplore, and Springer CCIS, address key advancements in SDN, IoT-based smart farming, and quantum communication security. His work “Energy-Efficient Techniques in SDN: Software, Hardware, and Hybrid Approaches” and “Comparative Analysis of Quantum Key Distribution Protocols” highlight optimization in computing systems and secure data transmission. Additionally, he holds two UK design patents—one for an AI-driven finance management device and another for a medical diagnostic system using saliva-based biomarkers. His current research extends to privacy preservation, intelligent traffic classification, and predictive analytics, establishing his expertise in sustainable and secure intelligent network systems.

Featured Publications

Verma, V., & Jain, M. (2024). Energy-efficient techniques in SDN: Software, hardware, and hybrid approaches. Philippine Journal of Science, 153(1).

Agarwal, N., & Verma, V. (2023). Comparative analysis of quantum key distribution protocols: Security, efficiency, and practicality. In Proceedings of the International Conference on Artificial Intelligence of Things (pp. 151–163).

Verma, V., Ramakant, Mathur, H., & Agarwal, N. (2022). IoT assisted smart farming using data science techniques. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE.

Verma, V. (2017). Automatic mood classification of Indian popular music. International Journal for Research in Applied Science and Engineering.

Verma, V., & Jain, M. (2023). Optimization of routing using traffic classification in software defined networking. Suranaree Journal of Science and Technology, 30(1), 010198(1–8).*

Mariana Magalhães | Computer Graphics | Best Researcher Award

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Assist. Prof. Dr. Mariana Magalhães | Computer Graphics | Best Researcher Award

INESC TEC | Portugal

Assist. Prof. Dr. Mariana Magalhães is an interdisciplinary researcher and academic specializing in multisensory Virtual Reality (VR) and digital media, with a strong foundation in linguistics and multimedia studies. She earned her PhD in Digital Media (Cum Laude, 2024) from FEUP, focusing on the influence of multisensory stimuli on users’ emotional responses and mental imagery in virtual tourism, and holds a Master’s in Multimedia from FEUP and a Bachelor in Language Sciences (Linguistics) from FLUP. Her doctoral and postdoctoral research has advanced understanding of human-computer interaction, emotional engagement, and immersive experiences in VR, bridging cognitive, affective, and technological perspectives. Dr. Magalhães has authored multiple high-impact publications in Q1 journals, including Computers & Graphics, IEEE Access, and Multimedia Tools and Applications, with research cited over 30 times, demonstrating both scholarly influence and practical relevance. She contributes actively to the academic community as an Adjunct Assistant Professor at FEUP, guest lecturer internationally, and supervisor of master’s students, while participating in scientific committees and reviewing for top journals. Her professional experience spans research, communication strategy, and human resources, complemented by strong soft skills such as critical thinking, adaptability, teamwork, Citations: 30 by 30 documents | Documents: 4 | h-index: 2 and user experience, positioning her as a leading researcher in virtual tourism and digital media innovation.

Profile: Orcid | Scopus 

Featured Publication

Magalhães, M., Coelho, A., Melo, M., & Bessa, M. (2024). Measuring users’ emotional responses in multisensory virtual reality: A systematic literature review. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-16918-1