Shahab Saquib Sohail

According to our database, Shahab Saquib Sohail authored at least 40 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Javier Del Ser, Khan Muhammad

IEEE Trans. Big Data, June, 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

CoRR, June, 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, May, 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

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

IEEE Intell. Syst., 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

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Cogn. Comput., September, 2024

Are Foundation Models the Next-Generation Social Media Content Moderators?

Mohammad Nadeem, Laeeba Javed, Shahab Saquib Sohail, Erik Cambria, Amir Hussain

IEEE Intell. Syst., 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

IEEE Intell. Syst., 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

CoRR, 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

Detecting Brain Cancer Using Explainable AI.

Abdul Rahman, Shahab Saquib Sohail, Mohammad Sultan Alam, Anil Sharma, Wathiq Mansoor

Proceedings of the 7th International Conference on Signal Processing and Information Security, 2024

The Language of Nuance: Exploring the Limits of Large Language Models in Handling Ambiguity.

Md. Tauseef Qamar, Shahab Saquib Sohail, Gunjan Ansari, Chandni Saxena

Proceedings of the Big Data Analytics in Astronomy, Science, and Engineering, 2024

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, Abbes Amira

WIREs Data. Mining. Knowl. Discov., November, 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., September, 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, 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, March, 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., March, 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., February, 2023

The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase.

Faiza Farhat, Emmanuel Sirimal Silva, Hossein Hassani, Dag Øivind Madsen, Shahab Saquib Sohail, Yassine Himeur, M. Afshar Alam, Aasim Zafar

Frontiers Artif. Intell., February, 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., February, 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

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, Dag Øivind Madsen, Mohammed Altaf Ahmed, Ahmed Abdu Alattab, Omar Ali Saleh Alsaiari, Khalid Ahmed Abdallah Norain, Abdallah Ahmed Alzupair Ahmed

IEEE Access, 2023

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

Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

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

Classification of Cumin, Fennel and Carom Using Transfer Learning.

Abdullah Ajaz Siddiqui, Shahab Saquib Sohail, Qazi Areeb, Wathiq Mansoor, Md. Tabrez Nafis

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

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

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

2021

How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia.

Mohammad Muzammil Khan, Shahab Saquib Sohail, Darakhshan Ishrat

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

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

Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali, Syed Hamid Hasan, M. Afshar Alam

CoRR, 2021

Towards a Two-Tier Architecture for Privacy-Enabled Recommender Systems (PeRS).

Shakil, Muhammad Arif, Shahab Saquib Sohail, Mohammed Talha Alam, Syed Ubaid, Md. Tabrez Nafis, Guojun Wang

Proceedings of the Ubiquitous Security - First International Conference, 2021

2020

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

2018

An OWA-Based Ranking Approach for University Books Recommendation.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali

Int. J. Intell. Syst., 2018

2015

OWA based Book Recommendation Technique.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali

Proceedings of the 2015 International Conference on Soft Computing and Software Engineering, 2015

2014

User Feedback Based Evaluation of a Product Recommendation System Using Rank Aggregation Method.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali

Proceedings of the Advances in Intelligent Informatics, 2014

User feedback scoring and evaluation of a product recommendation system.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali

Proceedings of the Seventh International Conference on Contemporary Computing, 2014

Ordered ranked weighted aggregation based book recommendation technique: A link mining approach.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali

Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

2013

Book recommendation system using opinion mining technique.

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali

Proceedings of the International Conference on Advances in Computing, 2013

2011

Chaos-based encryption of biomedical EEG signals using random quantization technique.

Musheer Ahmad, Omar Farooq, Sekharjit Datta, Shahab Saquib Sohail, Anoop Lal Vyas, David Mulvaney

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011