Particle swarm optimization with area extension (AEPSO). - Adham Atyabi; Somnuk Phon-Amnuaisuk (IEEE Congress on Evolutionary Computation, 2007)

Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO). - Adham Atyabi; Somnuk Phon-Amnuaisuk; Chin Kuan Ho (IAT, 2007)

Cooperative learning of homogeneous and heterogeneous particles in Area Extension PSO. - Adham Atyabi; Somnuk Phon-Amnuaisuk; Chin Kuan Ho (IEEE Congress on Evolutionary Computation, 2008)

Magician simulator - A realistic simulator for heterogeneous teams of autonomous robots. - Adham Atyabi; Tom A. F. Anderson; Kenneth Treharne; David M. W. Powers (ICARCV, 2010)

The use of area extended particle swarm optimization (AEPSO) in swarm robotics. - Adham Atyabi; David M. W. Powers (ICARCV, 2010)

Navigating a robotic swarm in an uncharted 2D landscape. - Adham Atyabi; Somnuk Phon-Amnuaisuk; Chin Kuan Ho (Appl. Soft Comput., 2010)

Applying Area Extension PSO in Robotic Swarm. - Adham Atyabi; Somnuk Phon-Amnuaisuk; Chin Kuan Ho (J. Intell. Robotic Syst., 2010)

Multiplying the Mileage of Your Dataset with Subwindowing. - Adham Atyabi; Sean P. Fitzgibbon; David M. W. Powers (Brain Informatics, 2011)

Multiplication of EEG Samples through Replicating, Biasing, and Overlapping. - Adham Atyabi; Sean P. Fitzgibbon; David M. W. Powers (Brain Informatics, 2012)

The Impact of PSO Based Dimension Reduction on EEG Classification. - Adham Atyabi; Martin H. Luerssen; Sean P. Fitzgibbon; David M. W. Powers (Brain Informatics, 2012)

Evolutionary feature selection and electrode reduction for EEG classification. - Adham Atyabi; Martin H. Luerssen; Sean P. Fitzgibbon; David M. W. Powers (IEEE Congress on Evolutionary Computation, 2012)

Dimension reduction in EEG data using Particle Swarm Optimization. - Adham Atyabi; Martin H. Luerssen; Sean P. Fitzgibbon; David M. W. Powers (IEEE Congress on Evolutionary Computation, 2012)

Adapting subject-independent task-specific EEG feature masks using PSO. - Adham Atyabi; Martin H. Luerssen; Sean P. Fitzgibbon; David M. W. Powers (IEEE Congress on Evolutionary Computation, 2012)

Biasing the overlapping and non-overlapping sub-windows of EEG recording. - Adham Atyabi; Sean P. Fitzgibbon; David M. W. Powers (IJCNN, 2012)

Cooperative Area Extension of PSO - Transfer Learning vs. Uncertainty in a Simulated Swarm Robotics. - Adham Atyabi; David M. W. Powers (ICINCO (1), 2013)

PSO-based dimension reduction of EEG recordings: Implications for subject transfer in BCI. - Adham Atyabi; Martin H. Luerssen; David M. W. Powers (Neurocomputing, 2013)

Mobile ascertainment of smoking status through breath: A machine learning approach. - Stephanie Valencia; Megan V. Smith; Adham Atyabi; Frederick Shic (UEMCON, 2016)

Mixture of autoregressive modeling orders and its implication on single trial EEG classification. - Adham Atyabi; Frédérick Shic; Adam Naples (Expert Syst. Appl., 2016)

An exploratory analysis targeting diagnostic classification of AAC app usage patterns. - Adham Atyabi; Beibin Li; Amy Yeo-jin Ahn; Minah Kim; Erin Barney; Frederick Shic (IJCNN, 2017)

Reducing training requirements through evolutionary based dimension reduction and subject transfer. - Adham Atyabi; Martin H. Luerssen; Sean P. Fitzgibbon; Trent W. Lewis; David M. W. Powers (Neurocomputing, 2017)

Social Influences on Executive Functioning in Autism: Design of a Mobile Gaming Platform. - Beibin Li; Adham Atyabi; Minah Kim; Erin Barney; Amy Yeo-jin Ahn; Yawen Luo; Madeline Aubertine; Sarah Corrigan; Tanya St. John; Quan Wang 003; Marilena Mademtzi; Mary Best; et al. (CHI, 2018)

Current advancements on autonomous mission planning and management systems: An AUV and UAV perspective. - Adham Atyabi; Somaiyeh Mahmoud Zadeh; Samia Nefti-Meziani (Annu. Rev. Control., 2018)

A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean. - Somaiyeh Mahmoud Zadeh; David M. W. Powers; Karl Sammut; Adham Atyabi; Amir Mehdi Yazdani 001 (Comput. Electr. Eng., 2018)

Hybrid Motion Planning Task Allocation Model for AUV's Safe Maneuvering in a Realistic Ocean Environment. - Somaiyeh Mahmoud Zadeh; David M. W. Powers; Karl Sammut; Amir Mehdi Yazdani 001; Adham Atyabi (J. Intell. Robotic Syst., 2019)

UUV's Hierarchical DE-Based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network. - Somaiyeh Mahmoud Zadeh; David M. W. Powers; Adham Atyabi (IEEE Trans. Cybern., 2019)

A comparative review on mobile robot path planning: Classical or meta-heuristic methods? - Mohd Nadhir Ab Wahab; Samia Nefti-Meziani; Adham Atyabi (Annu. Rev. Control., 2020)

Learning Oculomotor Behaviors from Scanpath. - Beibin Li; Nicholas Nuechterlein; Erin Barney; Claire E. Foster; Minah Kim; Monique Mahony; Adham Atyabi; Li Feng; Quan Wang 003; Pamela Ventola; Linda G. Shapiro; Frederick Shic (ICMI, 2021)

Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems. - Daniel Theng; Adham Atyabi (IJCNN, 2022)

Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems. - Teddy Zaremba; Adham Atyabi (IJCNN, 2022)

Social Engineering Attacks and Defenses in the Physical World vs. Cyberspace: A Contrast Study. - Rosana Montañez Rodriguez; Adham Atyabi; Shouhuai Xu (CoRR, 2022)

SoK: Why Have Defenses against Social Engineering Attacks Achieved Limited Success? - Theodore Tangie Longtchi; Rosana Montañez Rodriguez; Laith Al-Shawaf; Adham Atyabi; Shouhuai Xu (CoRR, 2022)

Large-scale Investigations of AAC Usage Patterns: Trends, Autism, and Stacked Autoencoders. - Adham Atyabi; Laura Boccanfuso; James C. Snider; Minah Kim; Erin Barney; Amy Yeo-jin Ahn; Beibin Li; Kelsey Jackson Dommer; Frederick Shic (CCWC, 2023)

A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets. - Uma Chinta; Adham Atyabi (CCWC, 2023)

Soft Voting Strategy for Multi-Modal Emotion Recognition Using Deep-learning- Facial Images and EEG. - Uma Chinta; Jugal Kalita; Adham Atyabi (CCWC, 2023)

The Impact of Dynamic Adjustment of Swarm Behavior on Particle Swarm Optimization Performance using Benchmark Functions. - Mohd Nadhir Ab Wahab; Samia Nefti-Meziani; Adham Atyabi (CCWC, 2023)

Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. - Hossein Rajoli; Fatemeh Lotfi; Adham Atyabi; Fatemeh Afghah (CISS, 2023)

Comparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking. - Michal Hochhauser; Kelsey Jackson Dommer; Adham Atyabi; Beibin Li; Yeojin A. Ahn; Madeline Aubertine; Minah Kim; Sarah G. Corrigan; Kevin A. Pelphrey; Frederick Shic (ETRA, 2023)

Facial Expression Recognition Using Robust Attention-Based CNN. - Uma Chinta; Adham Atyabi (ICMLA, 2023)

Detecting Children Emotion through Facial Expression Recognition. - Uma Chinta; Adham Atyabi (SMC, 2023)

Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks. - Angel I. Solis; Justin Zarkovacki; John Ly; Adham Atyabi (CoRR, 2023)

Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. - Adham Atyabi; Frederick Shic; Jiajun Jiang; Claire E. Foster; Erin Barney; Minah Kim; Beibin Li; Pamela Ventola; Chung-Hao Chen (ACM Trans. Knowl. Discov. Data, 2023)

Editorial: Human-robot interaction for children with special needs. - Alireza Taheri; Adham Atyabi; Ali Meghdari 001; Minoo Alemi (Frontiers Robotics AI, 2023)

Enhancing MI-BCI Classification with Subject-Specific Spatial Evolutionary Optimization and Transfer Learning. - Marios Petrov; Adham Atyabi (SMC, 2024)

Internet-Based Social Engineering Psychology, Attacks, and Defenses: A Survey. - Theodore Tangie Longtchi; Rosana Montañez Rodriguez; Laith Al-Shawaf; Adham Atyabi; Shouhuai Xu (Proc. IEEE, 2024)