Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Taylor's University | Malaysia

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran is an accomplished researcher and academic specializing in Artificial Intelligence, with a strong focus on agent-based systems, intelligent autonomous systems, machine learning applications, smart energy systems, and climate change–related digital intelligence. Her scholarly impact is reflected in an h-index of 16, with 70 research documents generating 899 citations across international indexing platforms, demonstrating sustained influence in AI-driven and interdisciplinary research domains. Her work spans collective intelligence, knowledge transfer models, data mining, educational technologies, and intelligent digitalization, with publications appearing in IEEE conferences, international journals, and Springer book chapters. In addition to academic publishing, she has led significant intellectual property initiatives, including a granted patent on cooperative control systems for unmanned aerial platforms, utility innovations in autonomous multi-UAV task allocation, and copyrighted micro-credential programs. Her research excellence has been recognized through multiple prestigious awards, including international science communication accolades, industry research honors, and selection for global digital leadership programs. With over two decades of academic engagement and active research contributions, her profile reflects a strong integration of theoretical innovation, applied intelligence systems, and impactful scholarly dissemination across AI, energy, education, and digital transformation domains.

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Featured Publications

Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks
– International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR, 2021

 

Saeid Mehdizadeh | Environmental Science | Best Researcher Award

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Dr. Saeid Mehdizadeh | Environmental Science | Best Researcher Award

Urmia University | Iran

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🎓 Early Academic Pursuits

Dr. Saeid Mehdizadeh began his academic journey at Urmia University in Iran, where he earned a Bachelor of Science in Water Engineering Sciences in 2008, followed by a Master's degree in the same field in 2010. His academic performance was consistently outstanding, with GPAs reflecting his dedication and deep understanding of water engineering sciences. He continued his education at Urmia University, where he obtained his PhD in Water Engineering Sciences in 2017, with a remarkable GPA of 19.18/20. His early academic endeavors laid a strong foundation for his future research and professional success.

🛠️ Professional Endeavors

Dr. Mehdizadeh's professional journey is marked by his contributions to the field of water engineering, with a focus on machine learning, artificial intelligence, and optimization algorithms. His work is centered on hydrology, hydrological modeling, drought and flood prediction, river streamflow, rainfall, evaporation, and evapotranspiration. His expertise in these areas has led him to publish numerous influential papers in high-impact journals. Additionally, he has played a significant role in peer review, serving as an outstanding reviewer for prestigious journals like the Journal of Cleaner Production, and as a guest editor for a special issue of the Water Journal.

🧠 Contributions and Research Focus

Dr. Mehdizadeh's research contributions are extensive and impactful, particularly in the application of advanced machine learning models and hybrid techniques to solve complex hydrological problems. His work on the development of wavelet-based hybrid models and the integration of artificial intelligence with time series analysis has provided significant advancements in the modeling of environmental phenomena such as soil temperature, streamflow, and drought. His research is not only theoretical but also practical, offering solutions to real-world problems related to water resources management.

🏆 Accolades and Recognition

Dr. Mehdizadeh has received numerous accolades for his contributions to the field. In June 2018, he was recognized as an outstanding reviewer by the Journal of Cleaner Production, a testament to his expertise and dedication to maintaining high standards in scientific research. His role as a guest editor for the Water Journal further highlights his leadership in the academic community, where he has curated and overseen research on drought monitoring and modeling using advanced machine learning models.

🌍 Impact and Influence

Dr. Mehdizadeh's work has had a profound impact on the field of water engineering and beyond. His research has influenced the way hydrological models are developed and applied, particularly in the context of environmental management and climate change adaptation. His contributions to the understanding and prediction of hydrological phenomena have been widely recognized and cited by peers, underscoring his influence in both academic and practical domains.

🌟 Legacy and Future Contributions

As Dr. Mehdizadeh continues to advance his research, his legacy in the field of water engineering is firmly established. His work on machine learning and artificial intelligence in hydrology sets the stage for future innovations and applications that will further enhance our ability to manage and protect water resources. His ongoing contributions are expected to continue shaping the future of water engineering, with a lasting impact on both the scientific community and society at large.

 

Publications 📚

  • 📄Deep Learning Hybrid Models with Multivariate Variational Mode Decomposition for Estimating Daily Solar Radiation
    Authors: Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi
    Journal: Alexandria Engineering Journal
    Year: 2024
  • 📄Development of Wavelet-Based Hybrid Models to Enhance Daily Soil Temperature Modeling: Application of Entropy and τ-Kendall Pre-Processing Techniques
    Authors: Saeid Mehdizadeh, Farshad Ahmadi, Ali Kouzehkalani Sales
    Journal: Stochastic Environmental Research and Risk Assessment
    Year: 2023
  • 📄Improving the Performance of Random Forest for Estimating Monthly Reservoir Inflow via Complete Ensemble Empirical Mode Decomposition and Wavelet Analysis
    Authors: Farshad Ahmadi, Saeid Mehdizadeh, Vahid Nourani
    Journal: Stochastic Environmental Research and Risk Assessment
    Year: 2022
  • 📄Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms
    Authors: Saeid Mehdizadeh, Babak Mohammadi, Farshad Ahmadi
    Journal: Hydrology
    Year: 2022
  • 📄A Novel Hybrid Dragonfly Optimization Algorithm for Agricultural Drought Prediction
    Authors: Pouya Aghelpour, Babak Mohammadi, Saeid Mehdizadeh, Hadigheh Bahrami-Pichaghchi, Zheng Duan
    Journal: Stochastic Environmental Research and Risk Assessment
    Year: 2021

 

Logeeshan Velmanickam | Energy | Best Researcher Award

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Dr. Logeeshan Velmanickam | Energy | Best Researcher Award

University of Moratuwa | Sri Lanka

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🎓 Early Academic Pursuits

Dr. Logeeshan Velmanickam's academic journey is marked by excellence and dedication. He earned his Ph.D. in Electrical and Computer Engineering from North Dakota State University (NDSU) in 2019, graduating with the highest honors, equivalent to Summa Cum Laude, with a perfect GPA of 4.0/4.0. Before that, he completed his B.Sc. in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka, in 2014, where he graduated with First Class Honors.

💼 Professional Endeavors

Dr. Velmanickam has an extensive and impactful career, serving as a Senior Lecturer at the Department of Electrical Engineering, University of Moratuwa (UoM) since 2021. His teaching repertoire includes a variety of subjects such as Theory of Electricity, Circuit Theory, and Digital Signal Processing for undergraduate students, as well as specialized courses like Sensors and Actuators for Automation and Industrial Communication Systems for postgraduate students. His commitment to education is further evident through his involvement in curriculum revision, practical coordination, and supervision of numerous MSc and final year projects.

🔬 Contributions and Research Focus

A prolific researcher, Dr. Velmanickam's work intersects the realms of AI, IoT, and biomedical instrumentation. His research efforts have led to groundbreaking developments in lab-on-a-chip technologies and smart sensors. Notably, he has contributed to the integration of AI techniques in electrical engineering, particularly in designing next-generation biomedical devices. His patent portfolio includes innovations in dielectrophoretic and surface plasmonic apparatuses, which are pivotal in improving the detection of biological molecules.

🏆 Accolades and Recognition

Dr. Velmanickam's academic and professional excellence has been recognized through numerous awards. He has won multiple Best Presenter and Best Paper Awards at prestigious conferences such as the IEEE World AI IoT Congress and the Moratuwa Engineering Research Conference. His achievements also include winning the NDSU Innovation Challenge Competition and receiving the NDSU College of Engineering Graduate Research Assistant of the Year Award. Additionally, he has been honored with memberships in esteemed societies like Phi Kappa Phi and IEEE-Eta Kappa Nu, reserved for those with exemplary academic records.

🌍 Impact and Influence

Dr. Velmanickam's influence extends beyond the classroom and laboratory. As a consultant and senior lecturer, he has been instrumental in the development of rapid COVID-19 detection devices and other innovative solutions in collaboration with institutions like the Arthur C. Clarke Institute for Modern Technologies. His mentorship has shaped the careers of numerous students, fostering a new generation of engineers and researchers.

🛠️ Legacy and Future Contributions

Dr. Velmanickam’s legacy is defined by his relentless pursuit of knowledge and innovation. His work in AI, IoT, and biomedical engineering continues to push the boundaries of what is possible, with a particular focus on developing affordable, cutting-edge solutions for healthcare. As he continues to lead in both academia and industry, his future contributions are poised to make a lasting impact on the fields of electrical engineering and beyond.

 

Publications ✍️

  • 📄 "NILM for Commercial Buildings: Deep Neural Networks Tackling Nonlinear and Multi-Phase Loads"
    Authors: M. J. S. Kulathilaka, S. Saravanan, H. D. H. P. Kumarasiri, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara
    Journal: Energies, Year: 2024
  • 📄 "Design and Analysis of a Three-Phase Interleaved DC-DC Boost Converter with an Energy Storage System for a PV System"
    Authors: Pirashanthiyah, L., Edirisinghe, H.N., De Silva, W.M.P., Logeeshan, V., Wanigasekara, C.
    Journal: Energies, Year: 2024
  • 📄 "A Secure and Smart Home Automation System with Speech Recognition and Power Measurement Capabilities"
    Authors: Irugalbandara, C., Naseem, A.S., Perera, S., Kiruthikan, S., Logeeshan, V.
    Journal: Sensors, Year: 2023
  • 📄 "Traveling Wave Based Fault Location and Fault Classification Technique for Distribution Networks with High Renewable Penetration"
    Authors: Bamunusinghe, D., Peiris, P., Nagarajah, K., Logeeshan, V., Gunawardana, M.
    Journal: ICEFEET, Year: 2023
  • 📄 "Optimum Dispatch of Turbines in a Low Head Hydropower Plant for a Given Total Flow Rate and Available Variable Head - A Case Study for Moragahakanda Power Station in Sri Lanka"
    Authors: Haputhanthree, H.G.S.V., Logeeshan, V., Wijayapala, W.D.A.S.
    Journal: MERCon, Year: 2023