Aristide Tolok Nelem | Multicriteria optimization | Research Excellence Award

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Dr. Aristide Tolok Nelem | Multicriteria optimization | Research Excellence Award

University of Ebolowa | Cameroon

Dr. Aristide Tolok Nelem is a dedicated academic and researcher specializing in renewable energy and electrical engineering. he serves as lecturer and head of the department of renewable energy at the higher technical teachers’ training college of the University of Ebolowa, where he also leads the computer and automation research group. his scholarly interests centre on developing low-environmental-footprint energy solutions, especially solar-powered and hybrid systems, combining experimental studies with modelling and simulation to address energy deficits. among his peer-reviewed contributions are studies such as “Optimal Placement and Sizing of Distributed Energy Generation in an Electrical Network Using the Hybrid Algorithm of Bee Colonies and Newton Raphson” and “Extraction of the Parameters of a Photovoltaic Solar Cell by a Metaheuristic Method Associated With the Lambert-W Function,” reflecting his commitment to advancing solar energy technologies. as of this writing, publicly accessible databases list at least two such articles under his authorship. however, comprehensive bibliometric indicators (h-index, total document count, total citation count) are not available or cannot be reliably verified from open sources.

Profile: Orcid 

Featured Publications 

Mbakop, F. K., Assoualaye, G., Tom, A., Tolok Nelem, A., Bidias, J. B., Leontie, L., Iacomi, F., & Djongyang, N. (2024). Effect of efficiency of a thermophotovoltaic GaSb solar cell subjected to 1D photonic crystal filter and double/multi-layer anti-reflective coatings. Transactions of the Indian National Academy of Engineering.

Ndzana, N. D. M., Tolok Nelem, A., Abanda, Y. A., Pesdjock, M. J. P., Ngouagna, M. V. T., Zeh, O. F., & Ele, P. (2024). Lithium-ion point-of-care ultrasound battery joint state of charge estimation. Scientific African, 15, e02232.

Tolok Nelem, A., Ele, P., Onanena, R., Olivier, V. B., Ngo Bissé, T. J., & Pesdjock, M. J. P. (2023). An application of multicriteria decision aid in switching state control of a hybrid electric power generation network. Journal of King Saud University – Engineering Sciences, 35(4), 1–12.

Tolok Nelem, A., Ele, P., Ndiaye, P. A., Essiane, S. N., & Pesdjock, M. J. P. (2021). Dynamic optimization of switching states of a hybrid power network. International Journal of Control, Automation and Systems, 19, 1–10.

Dr. Ashlin Ann Alexander –  Model calibration – Best Researcher Award

Posted on by Innovator Awards

Dr. Ashlin Ann Alexander -  Model calibration - Best Researcher Award

Indian Institute of Science, Bangalore - India

Author Profile

ORCID

Early academic pursuits 🎓

Ashlin Ann Alexander's academic journey began at tkm college of engineering, kerala, where she earned her b.tech. in civil engineering with first-class distinction. her passion for hydrology and flood modeling led her to pursue an m.tech. at the national institute of technology (nit), calicut. during her master’s, she achieved first rank and was awarded the gold medal for her thesis on developing a wavelet-ANN hybrid model for hourly flood forecasting. continuing her academic excellence, she embarked on a ph.d. at the prestigious indian institute of science (iisc.), bengaluru, focusing on hydrological processes, decision modeling, and deep learning.

Professional endeavors 🏢

Ashlin’s career has been marked by impactful research and innovation in hydrology. she currently serves as a postdoctoral research associate at iisc, where she is involved in simulating and assessing risks from unprecedented rainfall events across india. her work at iisc during her ph.d. research, which spanned six years, was dedicated to flood simulation, deep learning applications, and uncertainty analysis in hydrological modeling. her research has been pivotal in advancing computational methods for hydrologic assessments, especially through her proficiency in high-performance computing on the PARAM pravega supercomputer.

Contributions and research focus 🔬

Ashlin’s contributions lie in the development of cutting-edge techniques for flood forecasting and risk assessment. she has successfully integrated artificial intelligence and deep learning, such as convolutional neural networks (cnn), to enhance hydrological model accuracy. her research focuses on understanding how subjective  Model calibration decisions in modeling can affect flood predictions, offering valuable insights for improving hydrological assessments. her work also explores the development of surrogate models using deep learning to streamline complex hydrologic and hydraulic simulations.

Accolades and recognition 🏅

Throughout her academic and professional career, ashlin has garnered several accolades. her exemplary performance during her m.tech. earned her a gold medal  Model calibration and the distinction of first rank. her ph.d. work at iisc was also recognized for its innovative approach to hydrological modeling, earning her a reputation as a leading researcher in the field. her continuous dedication to flood risk mitigation and hydrological processes has been praised by her peers and mentors alike.

Impact and influence 🌍

Ashlin’s research has had a significant impact on hydrology and flood risk management in india. her work on flood forecasting models using artificial intelligence is  Model calibration instrumental in providing early warnings and mitigation strategies for flood-prone areas. her contributions have advanced the field of hydrological simulation, offering new ways to predict and manage the effects of extreme rainfall events. her research supports policymakers and environmental agencies in making informed decisions regarding water resource management.

Legacy and future contributions 🔮

Ashlin Ann alexander is poised to leave a lasting legacy in the field of hydrological research. her contributions to flood forecasting, coupled with her innovative use of deep learning, have set new standards in hydrological modeling. as she continues her work, her future contributions will likely focus on refining predictive models and developing sustainable solutions for managing water resources in the face of climate change. her legacy will inspire future researchers to integrate technology with environmental science for better outcomes.

Notable Publications 

  • Title: Optimizing parameter estimation in hydrological models with convolutional neural network guided dynamically dimensioned search approach
    Authors: Ashlin Ann Alexander, D. Nagesh Kumar
    Journal: Advances in Water Resources (2024-11)
    DOI: 10.1016/j.advwatres.2024.104842
  • Title: Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations
    Authors: Ashlin Ann Alexander, D. Nagesh Kumar, Wouter J.M. Knoben, Martyn P. Clark
    Journal: Advances in Water Resources (2023-11)
    DOI: 10.1016/j.advwatres.2023.104560
  • Title: Impact of subjective modeling decisions on hydrological modeling
    Authors: Ashlin Ann Alexander, Dasika Nagesh Kumar
    Journal: EGU General Assembly (2021-03-04)
    DOI: 10.5194/egusphere-egu21-6548