Nahid Sultana

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Research activity per year

Professional Information

Researcher of Imam Abdulrahman Bin Faisal University

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 6 Clean Water and Sanitation
SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 14 Life Below Water
SDG 17 Partnerships for the Goals

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Dive into the research topics where Nahid Sultana is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Machine Learning and Kinetic Insights into Biomass and Biosurfactant Production for Enhanced Oil Recovery Applications
Awadh, M., Hossain, S. M. Z., Haji, S., Alhammar, I. M., Alsaei, E. A., Safar, H., Sultana, N., Muhammed, N. S. & Haq, M. B., Mar 2026, In: SPE Journal. 31, 3, p. 1915-1931 17 p.
Research output: Contribution to journal › Article › peer-review
Balancing accuracy and efficiency in multi-step building-level electric load forecasting: Deep learning vs. classical time-series models
Sultana, N., 2025, (Accepted/In press) In: Energy and Built Environment.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Link opens in a new tab Scopus citations
Modeling and Global Optimization of Biosurfactant Production from Bacteria Utilizing Frying Oil Waste Via Sequential Statistical and Crow Search Algorithm
Awadh, M., Hossain, S. M. Z., Haji, S., AlHammar, I. M., Alsaei, E. A., Safar, H., Merza, A., Haq, B. & Sultana, N., Dec 2025, In: Arabian Journal for Science and Engineering. 50, 24, p. 20895-20914 20 p.
Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations
A hybrid BOA-SVR approach for predicting aerobic organic and nitrogen removal in a gas-liquid-solid circulating fluidized bed bioreactor
Razzak, S. A., Sultana, N., Zakir Hossain, S. M., Rahman, M. M., Yuan, Y., Hossain, M. M. & Zhu, J., Dec 2024, In: Digital Chemical Engineering. 13, 100188.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Link opens in a new tab Scopus citations
Artificial intelligence approaches for early detection of neurocognitive disorders among older adults
AlHarkan, K., Sultana, N., Al Mulhim, N., AlAbdulKader, A. M., Alsafwani, N., Barnawi, M., Alasqah, K., Bazuhair, A., Alhalwah, Z., Bokhamseen, D., Aljameel, S. S., Alamri, S., Alqurashi, Y. & Ghamdi, K. A., 2024, In: Frontiers in Computational Neuroscience. 18, 1307305.
Research output: Contribution to journal › Article › peer-review

Open Access
8 Link opens in a new tab Scopus citations

Research from Imam Abdulrahman Bin Faisal University Yields New Data on Digital Chemical Engineering (A hybrid BOA-SVR approach for predicting aerobic organic and nitrogen removal in a gas-liquid-solid circulating fluidized bed bioreactor)
Sultana, N.
27/12/24
1 item of Media coverage
Press/Media
Imam Abdulrahman Bin Faisal University Reports Findings in Artificial Intelligence (Artificial intelligence approaches for early detection of neurocognitive disorders among older adults)
Alqurashi, Y., Sultana, N. & Al Ghamdi, K.
18/03/24
1 item of Media coverage
Press/Media
New Energy Study Findings Have Been Published by a Researcher at Imam Abdulrahman Bin Faisal University [Bayesian-Optimization-Based Long Short-Term Memory (LSTM) Super Learner Approach for Modeling Long-Term Electricity Consumption]
Sultana, N.
22/09/23
1 item of Media coverage
Press/Media
Imam Abdulrahman Bin Faisal University Researcher Publishes New Studies and Findings in the Area of Machine Learning (Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance ...)
Sultana, N.
3/03/23
1 item of Media coverage
Press/Media
Investigators at Imam Abdulrahman Bin Faisal University Detail Findings in Skin Diseases and Conditions (Predicting Sun Protection Measures Against Skin Diseases Using Machine Learning Approaches)
Sultana, N.
23/11/22
1 item of Media coverage
Press/Media

Nahid Sultana, Ph.D.

Personal profile

Professional Information

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Machine Learning and Kinetic Insights into Biomass and Biosurfactant Production for Enhanced Oil Recovery Applications

Balancing accuracy and efficiency in multi-step building-level electric load forecasting: Deep learning vs. classical time-series models

Modeling and Global Optimization of Biosurfactant Production from Bacteria Utilizing Frying Oil Waste Via Sequential Statistical and Crow Search Algorithm

A hybrid BOA-SVR approach for predicting aerobic organic and nitrogen removal in a gas-liquid-solid circulating fluidized bed bioreactor

Artificial intelligence approaches for early detection of neurocognitive disorders among older adults

Research from Imam Abdulrahman Bin Faisal University Yields New Data on Digital Chemical Engineering (A hybrid BOA-SVR approach for predicting aerobic organic and nitrogen removal in a gas-liquid-solid circulating fluidized bed bioreactor)

Imam Abdulrahman Bin Faisal University Reports Findings in Artificial Intelligence (Artificial intelligence approaches for early detection of neurocognitive disorders among older adults)

New Energy Study Findings Have Been Published by a Researcher at Imam Abdulrahman Bin Faisal University [Bayesian-Optimization-Based Long Short-Term Memory (LSTM) Super Learner Approach for Modeling Long-Term Electricity Consumption]

Imam Abdulrahman Bin Faisal University Researcher Publishes New Studies and Findings in the Area of Machine Learning (Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance ...)

Investigators at Imam Abdulrahman Bin Faisal University Detail Findings in Skin Diseases and Conditions (Predicting Sun Protection Measures Against Skin Diseases Using Machine Learning Approaches)

Nahid Sultana, Ph.D.

Personal profile

Professional Information

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media