Tiago Tamagusko | Computer Vision | Best Researcher Award

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Dr. Tiago Tamagusko | Computer Vision | Best Researcher Award

Postdoctoral Research Fellow at University College Dublin, Ireland

Dr. Tiago Tamagusko is a Transportation Specialist and Data Scientist with a strong academic and professional background in intelligent transportation systems, computer vision, and applied AI. He currently serves as a Postdoctoral Research Fellow at University College Dublin, contributing to the REALLOCATE Mobility project. His work combines advanced data science, geospatial technologies, and machine learning to address urban mobility challenges. He has participated in award-winning hackathons and contributed to both academic research and innovative startups.

Professional Profile:

Scopus

Orcid

Google Scholar

Education Background

  • Ph.D. in Transport Systems, University of Coimbra, Portugal (2020–2024)
    Thesis: Artificial Intelligence applied to Transport Infrastructure Management

  • M.Sc. in Urban Mobility Management, University of Coimbra, Portugal (2018–2020)
    Dissertation: Airport Pavement Design

  • B.Sc. in Civil Engineering, Federal University of Santa Catarina, Brazil (2008–2013)
    Final Project: Cost of Lack of Standardization of Railway Gauges in Brazil

  • Technical Degree in Computer Networks & Telecommunications, Federal Institute of Santa Catarina, Brazil (2002–2004)

Professional Development

  • Postdoctoral Research Fellow, University College Dublin, Ireland (2024–Present)
    REALLOCATE Mobility Project – AI and urban mobility

  • Researcher, CITTA – Research Centre for Territory, Transports and Environment, Portugal (2020–2024)
    Focus: AI in transport systems

  • Data Scientist, JEST – Junior Enterprise for Science and Technology, Portugal (2020–2022)
    Led Technology & Innovation Team

  • Civil Engineer/Researcher, LabTrans/UFSC, Brazil (2013–2018)
    Research on ITS, road infrastructure and HS-WIM systems

  • Intern, LabTrans/UFSC, Brazil (2009–2013)
    Developed software for Brazil’s national transport infrastructure

  • Telecom Technician, Alcatel (Alcatel-Lucent Enterprise), Brazil (2004–2005)
    Developed access control systems using PHP

Research Focus

Dr. Tamagusko’s research explores the intersection of artificial intelligence and transportation. His focus areas include machine learning, computer vision, geospatial data science, road infrastructure, and intelligent transportation systems (ITS). He is especially passionate about leveraging AI to enable smarter, safer, and more sustainable urban mobility.

Author Metrics:

  • ORCID: 0000-0003-0502-6472

  • Publications include peer-reviewed articles on AI applications in transport, infrastructure management, and computer vision for mobility.
    (Additional citation metrics can be added if you have Google Scholar, Scopus, or ResearchGate links.)

Awards and Honors:

  • 🥈 2nd Place – Location Intelligence for Smart Cities Hackathon (2023)

  • 🥉 3rd Place – Transatlantic AI Hackathon: Sustainable Supply Chain (2022)

  • 🎯 Finalist – Nordic AI & Open Data Hackathon (2022)

  • 🎓 FCT PhD Research Scholarship (2020–2024)

  • 🏅 UC Merit Board – Top 5% of Students (2018–2019 & 2019–2020)

Publication Top Notes

1. Building Back Better: The COVID-19 Pandemic and Transport Policy Implications for a Developing Megacity

Authors: Hasselwander, M.; Tamagusko, T.; Bigotte, J.F.; Ferreira, A.; Mejia, A.; Ferranti, E.
Journal: Sustainable Cities and Society
Volume: 69
Article Number: 102864
Year: 2021
Pages: 1–13
DOI: 10.1016/j.scs.2021.102864
Citations: 116
Summary: This study explores how the COVID-19 pandemic has impacted transport policy in developing megacities, providing recommendations for sustainable urban mobility post-crisis.

2. Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population During the COVID-19 Pandemic

Authors: Tamagusko, T.; Ferreira, A.
Journal: Sustainability
Volume: 12
Issue: 22
Article Number: 9775
Year: 2020
Pages: 1–16
DOI: 10.3390/su12229775
Citations: 45
Summary: This paper uses mobile location data and geospatial analysis to evaluate how the pandemic affected population mobility trends in Portugal.

3. Deep Learning Applied to Road Accident Detection with Transfer Learning and Synthetic Images

Authors: Tamagusko, T.; Gomes Correia, M.; Huynh, M.A.; Ferreira, A.
Journal: Transportation Research Procedia
Volume: 64
Year: 2022
Pages: 90–97
DOI: 10.1016/j.trpro.2022.09.012
Citations: 30
Summary: This work presents a deep learning framework for road accident detection using transfer learning and synthetic image augmentation for improved accuracy and robustness.

4. Machine Learning for Prediction of the International Roughness Index on Flexible Pavements: A Review, Challenges, and Future Directions

Authors: Tamagusko, T.; Ferreira, A.
Journal: Infrastructures
Volume: 8
Issue: 12
Article Number: 170
Year: 2023
Pages: 1–19
DOI: 10.3390/infrastructures8120170
Citations: 24
Summary: A comprehensive review of machine learning models used to predict the International Roughness Index (IRI), identifying challenges and proposing future research avenues in pavement performance forecasting.

5. Data-Driven Approach for Urban Micromobility Enhancement Through Safety Mapping and Intelligent Route Planning

Authors: Tamagusko, T.; Gomes Correia, M.; Rita, L.; Bostan, T.C.; Peliteiro, M.; Martins, R.; Santos, L.; Ferreira, A.
Journal: Smart Cities
Volume: 6
Issue: 4
Pages: 2035–2056
Year: 2023
DOI: 10.3390/smartcities6040094
Citations: 13
Summary: This paper introduces a data-driven system integrating street-level imagery and safety metrics to optimize micromobility route planning in urban environments.

Conclusion

Dr. Tiago Tamagusko is an outstanding early-career researcher with a compelling portfolio that merges AI, urban transport, and infrastructure innovation. His work is highly cited, technically advanced, and socially relevant, making a tangible impact on the future of smart cities and sustainable mobility. His multi-country experience, awards, and rapid academic progression showcase both depth and diversity of expertise.

Verdict:
✅ Highly suitable for the Best Researcher Award.
🚀 Recommendation: Strongly recommend for recognition based on research excellence, societal relevance, and innovative AI applications.

Nithya Rekha Sivakumar | Deep Learning | Best Researcher Award

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Dr. Nithya Rekha Sivakumar | Deep Learning | Best Researcher Award

Associate Professor, Princess Nourah Bint Abdulrahman University, Saudi Arabia📖

Dr. Nithya Rekha Sivakumar is an accomplished academician and researcher, currently serving as an Associate Professor of Computer Science at the College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. She holds a Ph.D. in Computer Science from Periyar University, India, specializing in Mobile Computing and Wireless Networks with Fuzzy and Rough Set Techniques, funded by a prestigious UGC BSR Fellowship. Dr. Sivakumar also earned her M.Phil. in Data Mining, MCA in Computer Applications, and B.Sc. in Computer Science. With over 15 years of academic experience, she has served in diverse roles across reputed institutions in India and Saudi Arabia. Her research interests include wireless networks, mobile computing, data mining, and intelligent systems, with extensive contributions as a researcher, reviewer, and speaker in international conferences and journals. A recipient of multiple awards, including the “Best Distinguished Researcher Award,” she has secured research grants and actively evaluates Ph.D. theses globally. Dr. Sivakumar is also a member of IEEE and IAENG and continues to contribute to advancements in computing through teaching, research, and scholarly activities.

Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

Dr. Rekha earned her Ph.D. in Computer Science from Periyar University, India, in 2014, supported by the prestigious UGC BSR Fellowship. Her doctoral research focused on mobile computing and wireless networks with fuzzy and rough set techniques. She also holds an M.Phil. in Computer Science from PRIST University (2009), an MCA from IGNOU (2007), and a B.Sc. in Computer Science from Bharathiar University (1996).

Professional Experience🌱

Dr. Rekha has over 15 years of academic and research experience. She has been with Princess Nourah Bint Abdul Rahman University since 2017, progressing from Assistant to Associate Professor. Prior to this, she served as an Assistant Professor at Qassim Private Colleges, Saudi Arabia, and held teaching roles in leading Indian institutions such as Vivekanandha College of Arts and Sciences and Excel Business School. She has also contributed to non-academic roles, including as a Java Programmer and high school teacher.

Research and Service🔬

Dr. Rekha’s research interests span mobile computing, e-governance, and advanced data mining techniques. She has evaluated over 20 Ph.D. theses as a foreign examiner and served as a reviewer for esteemed journals such as IEEE Access, Springer, and Elsevier. A sought-after speaker, she has been invited to international seminars and conferences across the globe, sharing her expertise in computational science and emerging technologies.

Dr. Rekha continues to inspire through her teaching, research, and unwavering commitment to advancing the field of computer science.

Author Metrics 

Dr. Nithya Rekha Sivakumar has an impressive author profile, with a strong presence in international research communities. She has published over 40 papers in reputed journals and conferences, many indexed in Scopus and Web of Science, reflecting her contributions to fields like wireless networks, mobile computing, and data mining. Her work has garnered significant recognition, with an h-index of 12 and over 400 citations, underscoring the impact and relevance of her research. She has authored and co-authored book chapters published by renowned publishers such as Springer and Wiley, further highlighting her expertise. As a sought-after reviewer for top-tier journals, she actively contributes to maintaining the quality of scientific publications. Dr. Sivakumar’s research outputs, combined with her active engagement in scholarly dissemination, establish her as a leading voice in her domain.

Honors and Research Grants

Dr. Rekha has received numerous accolades, including the “Best Distinguished Researcher Award” (2015-2016) and multiple research grants from Princess Nourah Bint Abdul Rahman University, amounting to SAR 40,000 through the Fast Track Research Funding program. She has also been recognized for her doctoral research by the University Grants Commission, India, and secured a travel grant from the Indian Department of Science and Technology to present her work internationally

Publications Top Notes 📄

“Increasing Fault Tolerance Ability and Network Lifetime with Clustered Pollination in Wireless Sensor Networks”

  • Authors: TKNVD Achyut Shankar, Nithya Rekha Sivakumar, M. Sivaram, A. Ambikapathy
  • Journal: Journal of Ambient Intelligence and Humanized Computing
  • Year: 2020
  • Impact: The paper focuses on improving the fault tolerance and lifespan of wireless sensor networks through an innovative clustered pollination-based approach.

“Stabilizing Energy Consumption in Unequal Clusters of Wireless Sensor Networks”

  • Author: NR Sivakumar
  • Journal: Computational Materials and Continua
  • Volume: 64
  • Pages: 81-96
  • Year: 2020
  • Impact: This paper addresses energy stabilization in wireless sensor networks by proposing techniques to manage energy distribution across unequal clusters, enhancing network sustainability.

“Enhancing Network Lifespan in Wireless Sensor Networks Using Deep Learning-based Graph Neural Network”

  • Authors: NR Sivakumar, SM Nagarajan, GG Devarajan, L Pullagura, et al.
  • Journal: Physical Communication
  • Volume: 59
  • Article No.: 102076
  • Year: 2023
  • Impact: The paper investigates how deep learning-based graph neural networks can be used to enhance the lifespan of wireless sensor networks, marking a significant contribution to AI-powered network optimization.

“Simulation and Evaluation of the Performance on Probabilistic Broadcasting in FSR (Fisheye State Routing) Routing Protocol Based on Random Mobility Model in MANET”

  • Authors: NR Sivakumar, C Chelliah
  • Conference: 2012 Fourth International Conference on Computational Intelligence
  • Year: 2012
  • Impact: This study explores the performance of the Fisheye State Routing (FSR) protocol in mobile ad hoc networks (MANETs), with an emphasis on the effects of random mobility models on network behavior.

“An IoT-based Big Data Framework Using Equidistant Heuristic and Duplex Deep Neural Network for Diabetic Disease Prediction”

  • Authors: NR Sivakumar, FKD Karim
  • Journal: Journal of Ambient Intelligence and Humanized Computing
  • Year: 2023
  • Impact: This paper presents an IoT-based framework utilizing big data and deep learning for predicting diabetic diseases, offering a new approach to healthcare prediction systems through advanced technologies.

Conclusion

Dr. Nithya Rekha Sivakumar is a deserving candidate for the Best Researcher Award. Her impressive research accomplishments, strong publication record, innovative contributions to wireless networks and mobile computing, and active engagement in the academic community make her an outstanding researcher. Although there are areas for improvement, particularly in interdisciplinary collaboration and public outreach, her overall research trajectory and impact are exemplary. Dr. Sivakumar’s continuous pursuit of excellence in her field and her ability to address contemporary challenges in mobile computing, data mining, and wireless networks position her as a leading researcher in her domain. She is highly recommended for the Best Researcher Award.