About

Dr. Soyiba Jawed is working as Assistant Professor in the College of Electrical & Mechanical Engineering . Dr. Soyiba Jawed has a PhD in Biomedical Engineering . Dr. Soyiba Jawed has published 13 research articles & conference papers having a citation count of 45 , carried out 0 projects and filed 0 intellectual property.

Research Tags

Research Projects

0

Industry Projects

0

Amount Granted

0.0 M

Publications

13

Citations

45

Intellectual Property

0
Publication Types
Project Types
Publications by Year
Projects by Year

Education

PhD Biomedical Engineering 2016- 2021
Universiti Teknologi Petronas , Malaysia
MSc Electrical and Electronic Engineering 2008- 2009
University of Leicester , United Kingdom
BSc Computer Engineering 2002- 2006
COMSATS Institute of Information Technology, Islamabad , Pakistan

Experience

Assistant Professor 2023- Present
College of Electrical & Mechanical Engineering , NUST
Researcher 2022- 2023
Brno University of Technology , Bozetechova 1/2, Brno Czech Republic ,

Awards

Memberships

No project records found for this faculty member
5
Research Articles
8
Conference Proceedings
0
Books
0
Book Chapters
3
Editorial Activities
Classification of visual and non-visual learners using electroencephalographic alpha and gamma activities 2019
HA
Hafeez Ullah Amin (Universiti Teknologi PETRONAS)
AA
Aamir Saeed Malik (Asia Pacific Neuro-Biofeedback Association)
IB
Ibrahina Faye (Universiti Teknologi PETRONAS)
Journal: Frontiers in Behavioral Neuroscience, Volume 13, Article Number 86
Impact Factor: 2.512 Citations: 20 Quartile: 2
SDG 4
Hemispheric asymmetries in electroencephalogram oscillations for long-term memory retrieval in healthy individuals 2020
HA
Hafeez Ullah Amin (University of Nottingham Malaysia)
AA
Aamir Saeed Malik (University of Jeddah)
IB
Ibrahina Faye (Universiti Teknologi PETRONAS)
Journal: Brain Sciences, Volume 10, Issue 12, Article Number 937
Impact Factor: 3.394 Citations: 1 Quartile: 3
SDG 4
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments. 2025
AL
Ali Saeed (Quaid-i-Azam University)
MU
Muazzam A Khan (Quaid-i-Azam University)
WA
Waeal J. Obidallah (Imam Mohammad Ibn Saud Islamic University)
AW
Awais Ahmad (Imam Mohammad Ibn Saud Islamic University)
Journal: Scientific Reports, Volume 15, Article Number: 1114
Impact Factor: 3.800 Citations: 11 Quartile: 1
SDG 3
Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG 2024
IB
Ibrahima Faye (Universiti Teknologi PETRONAS)
AA
Aamir Saeed Malik (Brno University of Technology)
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 32, Pages 378-390
Impact Factor: 4.9 Citations: 13 Quartile: 1
SDG 4
Examining AI-Powered ADHD Diagnosis: Current Trends, Key Challenges, and Future Directions in the Field 2025
Journal: IEEE Access, Volume 13, Pages 93148-93177
Impact Factor: 3.600 Citations: 0 Quartile: 2
SDG 3
EEG emotion classification using deep neural network
VE
Veronika Vengerová (Brno University of Technology)
SO
Sophia Bano (Brno University of Technology)
AA
Aamir Saeed Malik (University College London)
Conference: 17th International Conference on Machine Vision (ICMV 2024)
Citations: N/A
Diagnosing ADHD with 1D-CNN: Efficient Analysis of fMRI Data
QU
Qurat Ul Ain
Conference: 17th International Conference on Machine Vision (ICMV 2024)
Citations: N/A
Performance and cost evaluation of IEEE 802.11g and 802.3i protocols for network connectivity at a university campus using OPNET simulation
AR
Arslan Musaddiq (Bahria University)
Conference: UKSim 15th International Conference on Computer Modelling and Simulation, UKSim 2013
Citations: N/A
Differentiating between Visual and Non-Visual Learners Using EEG Power Spectrum Entropy
HA
Hafeez Ullah Amin (Universiti Teknologi Malaysia)
AA
Aamir Saeed Malik (Universiti Teknologi Malaysia)
IB
Ibrahina Faye (Universiti Teknologi Malaysia)
Conference: International Conference on Intelligent and Advanced System, ICIAS 2018
Citations: N/A
EEG Visual and Non- Visual Learner Classification Using LSTM Recurrent Neural Networks
HA
Hafeez Ullah Amin (Universiti Teknologi PETRONAS)
AA
Aamir Saeed Malik (Universiti Teknologi Malaysia)
IB
Ibrahina Faye (Universiti Teknologi PETRONAS)
Conference: 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
Citations: N/A
Deep learning-based diagnosis of Alcohol use disorder (AUD) using EEG
AA
Aamir Saeed Malik (Brno University of Technology)
RU
Rusdi Bin Abd Rashid (University of Malaya)
MO
Mohamad Naufal Mohamad Saad (Universiti Teknologi PETRONAS Seri Iskandar)
Conference: IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Citations: N/A
A Cross-domain Vision Transformer Based Framework for Baggage Threat Classification
AM
Ammara Nasim
ZA
zawar Khan
TA
Taimur Hassan (Abu Dhabi University)
Conference: International Conference on Computer and Automation Engineering (ICCAE)
Citations: N/A
Effective eeg feature selection for interpretable mdd (major depressive disorder) classification
VO
Vojtech Mrazek (Brno University of Technology)
MU
Muhammad Arif (University of Klagenfurt)
AA
Aamir Saeed Malik (Brno University of Technology)
Conference: GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference
Citations: N/A
Frontiers in Psychiatry 2025
Reviewed Papers for Journals
Impact Factor: 3.2
Frontiers In Human Neuroscience 2024
Reviewed Papers for Journals
Impact Factor: 2.4
Frontiers in Neuroscience 2023
Reviewed Papers for Journals
Impact Factor: 2.9
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0
Total Supervisions
0
PhD Supervisions
0
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