Chaos-based encryption of biomedical EEG signals using random quantization technique. - Musheer Ahmad 002; Omar Farooq; Sekharjit Datta; Shahab Saquib Sohail; Anoop Lal Vyas; David Mulvaney (BMEI, 2011)

Book recommendation system using opinion mining technique. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002 (ICACCI, 2013)

Ordered ranked weighted aggregation based book recommendation technique: A link mining approach. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002 (HIS, 2014)

User feedback scoring and evaluation of a product recommendation system. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002 (IC3, 2014)

User Feedback Based Evaluation of a Product Recommendation System Using Rank Aggregation Method. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002 (ISI (1), 2014)

OWA based Book Recommendation Technique. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002 (SCSE, 2015)

An OWA-Based Ranking Approach for University Books Recommendation. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002 (Int. J. Intell. Syst., 2018)

Machine learning-based book recommender system: a survey and new perspectives. - Khalid Anwar; Jamshed Siddiqui; Shahab Saquib Sohail (Int. J. Intell. Inf. Database Syst., 2020)

Towards a Two-Tier Architecture for Privacy-Enabled Recommender Systems (PeRS). - Shakil; Muhammad Arif 009; Shahab Saquib Sohail; Mohammed Talha Alam; Syed Ubaid; Md. Tabrez Nafis; Guojun Wang 001 (UbiSec, 2021)

Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators. - Shahab Saquib Sohail; Jamshed Siddiqui; Rashid Ali 002; Syed Hamid Hasan; M. Afshar Alam (CoRR, 2021)

An Analysis of Twitter Users From The Perspective of Their Behavior, Language, Region and Development Indices - A Study of 80 Million Tweets. - Shahab Saquib Sohail; Mohammad Muzammil Khan; M. Afshar Alam (CoRR, 2021)

Crawling Twitter data through API: A technical/legal perspective. - Shahab Saquib Sohail; Mohammad Muzammil Khan; Mohd Arsalan; Aslam Khan; Jamshed Siddiqui; Syed Hamid Hasan; M. Afshar Alam (CoRR, 2021)

How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia. - Mohammad Muzammil Khan; Shahab Saquib Sohail; Darakhshan Ishrat (CoRR, 2021)

Recommendation System Towards Residential Energy Saving Based on Anomaly Detection. - Shadi Atalla; Yassine Himeur; Wathiq Mansoor; Abbes Amira; Fodil Fadli; Abigail Copiaco; Shahab Saquib Sohail (ICSPIS, 2022)

Classification of Cumin, Fennel and Carom Using Transfer Learning. - Abdullah Ajaz Siddiqui; Shahab Saquib Sohail; Qazi Areeb; Wathiq Mansoor; Md. Tabrez Nafis (ICSPIS, 2022)

Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives. - Yassine Himeur; Shahab Saquib Sohail; Faycal Bensaali; Abbes Amira; Mamoun Alazab (Comput. Secur., 2022)

Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization. - Oussama Kerdjidj; Yassine Himeur; Shadi Atalla; Abigail Copiaco; Shahab Saquib Sohail; Fodil Fadli; Abbes Amira; Wathiq Mansoor; Amjad Gawanmeh (ICSPIS, 2023)

A Multi-Objective Bee Foraging Learning-Based Particle Swarm Optimization Algorithm for Enhancing the Security of Healthcare Data in Cloud System. - Reyazur Rashid Irshad; Shahab Saquib Sohail; Shahid Hussain 002; Dag Øivind Madsen; Mohammed Altaf Ahmed; Ahmed Abdu Alattab; Omar Ali Saleh Alsaiari; Khalid Ahmed Abdallah Norain; Abdallah Ahmed Alzupair Ahmed (IEEE Access, 2023)

Computational efficiency in sports talent identification - a systematic review. - Naveed Jeelani Khan; Gulfam Ahamad; Mohd Naseem; Shahab Saquib Sohail (Int. J. Appl. Decis. Sci., 2023)

COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control. - Faiza Farhat; Shahab Saquib Sohail; Mohammed Talha Alam; Syed Ubaid; Shakil; Mohd Ashhad; Dag Øivind Madsen (Frontiers Artif. Intell., 2023)

The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. - Faiza Farhat; Emmanuel Sirimal Silva; Hossein Hassani 002; Dag Øivind Madsen; Shahab Saquib Sohail; Yassine Himeur; M. Afshar Alam; Aasim Zafar (Frontiers Artif. Intell., 2023)

Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence. - Shahab Saquib Sohail; Dag Øivind Madsen; Yassine Himeur; Maheen Ashraf (Frontiers Artif. Intell., 2023)

An innovative deep anomaly detection of building energy consumption using energy time-series images. - Abigail Copiaco; Yassine Himeur; Abbes Amira; Wathiq Mansoor; Fodil Fadli; Shadi Atalla; Shahab Saquib Sohail (Eng. Appl. Artif. Intell., 2023)

A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer. - Reyazur Rashid Irshad; Shahid Hussain 002; Shahab Saquib Sohail; Abu Sarwar Zamani; Dag Øivind Madsen; Ahmed Abdu Alattab; Abdallah Ahmed Alzupair Ahmed; Khalid Ahmed Abdallah Norain; Omar Ali Saleh Alsaiari (Sensors, 2023)

Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions. - Shahab Saquib Sohail; Faiza Farhat; Yassine Himeur; Mohammad Nadeem; Dag Øivind Madsen; Yashbir Singh; Shadi Atalla; Wathiq Mansoor (J. King Saud Univ. Comput. Inf. Sci., 2023)

Filter bubbles in recommender systems: Fact or fallacy - A systematic review. - Qazi Mohammad Areeb; Mohammad Nadeem; Shahab Saquib Sohail; Raza Imam; Faiyaz Doctor; Yassine Himeur; Amir Hussain 001; Abbes Amira (WIREs Data. Mining. Knowl. Discov., 2023)

The Language of Nuance: Exploring the Limits of Large Language Models in Handling Ambiguity. - Md. Tauseef Qamar; Shahab Saquib Sohail; Gunjan Ansari; Chandni Saxena (BDA (Astronomy, Science, and Engineering), 2024)

Detecting Brain Cancer Using Explainable AI. - Abdul Rahman; Shahab Saquib Sohail; Mohammad Sultan Alam; Anil Sharma; Wathiq Mansoor (ICSPIS, 2024)

Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning. - Oussama Kerdjidj; Yassine Himeur; Shahab Saquib Sohail; Abbes Amira; Fodil Fadli; Shadi Atalla; Wathiq Mansoor; Abigail Copiaco; Amjad Gawanmeh; Sami Miniaoui; Diana Dawoud (IEEE Access, 2024)

Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation. - Mohammad Nadeem; Shahab Saquib Sohail; Erik Cambria; Björn W. Schuller; Amir Hussain 001 (CoRR, 2024)

Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? - Mohammad Anas; Anam Saiyeda; Shahab Saquib Sohail; Erik Cambria; Amir Hussain 001 (IEEE Intell. Syst., 2024)

Are Foundation Models the Next-Generation Social Media Content Moderators? - Mohammad Nadeem; Laeeba Javed; Shahab Saquib Sohail; Erik Cambria; Amir Hussain 001 (IEEE Intell. Syst., 2024)

Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition. - Mohammad Nadeem; Shahab Saquib Sohail; Laeeba Javed; Faisal Anwer; Abdul Khader Jilani Saudagar; Khan Muhammad 001 (Cogn. Comput., 2024)

Can AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction. - Gautam Siddharth Kashyap; Harsh Joshi; Manaswi Kulahara; Rajkumar Dhakar; Atul Sajjanhar; Jiechao Gao; Sarthak Jain; Shahab Saquib Sohail (ICASSP, 2025)

Owls are Wise and Foxes are Unfaithful: Uncovering Animal Stereotypes in Vision Language Models. - Tabinda Aman; Mohammad Nadeem; Shahab Saquib Sohail; Mohammad Anas; Erik Cambria (PAKDD (Workshops), 2025)

Gender Bias in Text-to-Video Generation Models: A Case Study of Sora. - Mohammad Nadeem; Shahab Saquib Sohail; Erik Cambria; Björn W. Schuller; Amir Hussain 001 (IEEE Intell. Syst., 2025)

Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey. - Shahab Saquib Sohail; Yassine Himeur; Hamza Kheddar; Abbes Amira; Fodil Fadli; Shadi Atalla; Abigail Copiaco; Wathiq Mansoor (Inf. Fusion, 2025)

Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages. - Gulfarogh Azam; Mohd Sadique; Saif Ali; Mohammad Nadeem; Erik Cambria; Shahab Saquib Sohail; Mohammad Sultan Alam (CoRR, 2025)

From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents. - Mohammad Amaan Sayeed; Mohammed Talha Alam; Raza Imam; Shahab Saquib Sohail; Amir Hussain 001 (CoRR, 2025)

A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models. - Mohammad Nadeem; Shahab Saquib Sohail; Dag Øivind Madsen; Ahmed Ibrahim Alzahrani 001; Javier Del Ser; Khan Muhammad 001 (IEEE Trans. Big Data, 2025)