Dr Ahsan Adeel

Assoc. Prof. in Artificial Intelligence

Computing Science and Mathematics - Division University of Stirling, Stirling, FK9 4LA

Dr Ahsan Adeel

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http://www.stir.ac.uk/people/ahsanadeel1

About me

About me

Adeel's research is focused on the use of 21st-century neurobiology for the development of next-generation biologically plausible multisensory AI, which he refers to as "The Beginning of Real Understanding" (Adeel A., 2024, EMBO, Dendrites24): https://drive.google.com/file/d/1T_FZwCmSQVdCfVXnhYbgKhYHWgv8e-Ec/view?usp=sharing

His work significantly contributes to the revolution occurring in the sciences of brain, mind, and AI (W.A. Phillips, The Cooperative Neuron, OUP, 2023). Though not yet widely accepted, it's on its way as an upcoming emerging trend. See Demo: http://cmilab.org/research/

Check out the latest multi-scale perspective from the flagship €1.2 billion Human Brain Project (HBP); his work is a notable highlight, acknowledged as a revolutionary example of AI and neuromorphic computing. Link: https://zenodo.org/records/8380094. Also see the latest review paper by P. Poirazi, which recognises his work as of "outstanding interest" in next-generation neuromorphic computing: https://www.sciencedirect.com/science/article/pii/S0959438824000151. His work is a major highlight in the first-ever book on two-point neurons by Prof. W.A. Phillips, published by the Oxford University Press in March 2023, with strong endorsements from leading Neuroscientists, Psychologists, Pathologists, and Philosophers.

Primarily Adeel's laboratory is interested in understanding and mimicking the structure and function of two-point layer 5 pyramidal cells (L5PCs) to develop biologically plausible MS deep neural nets, trustworthy AI tools, neuromorphic chips, and intelligent nano-electronic devices.

His pioneering work into cooperative context-sensitive neural information processing (2023, 2022a, 2022b, 2018) offers fundamental implications for the interpretation of the L5PC mechanism and unlocks, for the first time, a transformative computational potential of context-sensitive L5PCs to effectively and efficiently process large amounts of heterogeneous real-world MS data. His work supports the hypothesis that the processing and learning capabilities of L5PCs may be fundamental to the abilities of the mammalian neocortex and could circumvent the computational limitations of deep learning (DL).

His work is a major highlight in the first-ever book on two-point neurons by Prof. W.A. Phillips, published by the Oxford University Press in March 2023, with strong endorsements from leading Neuroscientists, Psychologists, Pathologists, and Philosophers.

Adeel's contribution to this rapidly growing fundamental advance in cellular neurobiology is encouraging AI experts to exploit L5PCs in state-of-the-art AI/DL models for applications where speed and the efficient use of energy are crucial. It is also encouraging neurobiologists to search for the essentials (fine tunings) necessary to make this neurobiological mechanism solve complex real-world problems.

His work has brought him into various academic and government projects of significant magnitude, addressing the pressing need for secure, environmentally viable, economical, and resilient AI solutions for the success of emerging technologies in health care, space, underwater, robotics, autonomous cars, and manufacturing.

He is involved in several large scale national and international projects, including the world’s first brain-inspired multisensory hearing aid that will improve the quality of life and mental health of millions of people with hearing problems; new AI chips for future Mars rovers to go farther, faster, and do more science; truly human-like robots for effective therapeutic interventions and assistive technologies; biologically plausible models to understand the cellular foundations of consciousness, anaesthesia, dreaming, hallucinations, autism, and other neurological and developmental disorders.

Adeel pioneered conscious multisensory integration (CMI) theory, which sheds light on how our brain contextually integrates multisensory information at the cellular level. It is believed that if his introduced contextual fields in L5PCs exist and behave in a way described in his work, this could be a major contribution to our understanding of the intracellular mechanisms responsible for producing coherent thoughts, percepts, and actions, which are well-adapted to different situations and long-term goals.

He is an electrical engineer and a cognitive scientist. He holds B. Eng. (Electrical), MSc (Electronics) and PhD (Cognitive Computing) degrees. He is a visiting EPSRC/MRC Research Fellow at the University of Stirling, and also a Fellow at MIT Synthetic Intelligence Lab, Oxford Computational Neuroscience Lab, and Howard Brain Sciences Foundation.

Research

Outputs (13)

Outputs

Conference Proceeding

A comparative study of Persian sentiment analysis based on different feature combinations

Dashtipour K, Gogate M, Adeel A, Hussain A, Alqarafi A & Durrani T (2019) A comparative study of Persian sentiment analysis based on different feature combinations. In: Liang Q, Mu J, Jia M, Wang W, Feng X & Zhang B (eds.) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, 463. CSPS 2017: Communications, Signal Processing, and System, Harbin, China, 14.07.2017-16.07.2017. Cham, Switzerland: Springer, pp. 2288-2294. https://doi.org/10.1007/978-981-10-6571-2_279

Conference Proceeding

Towards Arabic multi-modal sentiment analysis

Alqarafi AS, Adeel A, Gogate M, Dashtipour K, Hussain A & Durrani T (2019) Towards Arabic multi-modal sentiment analysis. In: Liang Q, Mu J, Jia M, Wang W, Feng X & Zhang B (eds.) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, 463. CSPS 2017: Communications, Signal Processing, and Systems, 14.07.2017-16.07.2017. Harbin, China: Springer, pp. 2378-2386. https://doi.org/10.1007/978-981-10-6571-2_290

Book Chapter

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management

Adeel A, Gogate M, Farooq S, Ieracitano C, Dashtipour K, Larijani H & Hussain A (2018) A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. In: Durrani T, Wang W & Forbes S (eds.) Geological Disaster Monitoring Based on Sensor Networks. Springer Natural Hazards. Singapore: Springer, pp. 57-66. https://doi.org/10.1007/978-981-13-0992-2_5

Conference Proceeding

Saliency Detection via Bidirectional Absorbing Markov Chain

Jiang F, Kong B, Adeel A, Xiao Y & Hussain A (2018) Saliency Detection via Bidirectional Absorbing Markov Chain. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 495-505. https://doi.org/10.1007/978-3-030-00563-4_48

Conference Proceeding

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection

Ieracitano C, Adeel A, Gogate M, Dashtipour K, Morabito FC, Larijani H, Raza A & Hussain A (2018) Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 759-769. https://doi.org/10.1007/978-3-030-00563-4_74

Conference Proceeding

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis

Guellil I, Adeel A, Azouaou F & Hussain A (2018) SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 557-567. https://doi.org/10.1007/978-3-030-00563-4_54

Conference Proceeding

Exploiting Deep Learning for Persian Sentiment Analysis

Dashtipour K, Gogate M, Adeel A, Ieracitano C, Larijani H & Hussain A (2018) Exploiting Deep Learning for Persian Sentiment Analysis. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 597-604. https://doi.org/10.1007/978-3-030-00563-4_58

Conference Proceeding

A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter

Alqarafi A, Adeel A, Hawalah A, Swingler K & Hussain A (2018) A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter. In: Hussain A, Zhao H, Ren J, Zheng J, Liu C, Luo B & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. Lecture Notes in Computer Science, 10989. BICS 2018: 9th International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer International Publishing, pp. 589-596. https://doi.org/10.1007/978-3-030-00563-4_57

Conference Proceeding

Deep learning driven multimodal fusion for automated deception detection

Gogate M, Adeel A & Hussain A (2018) Deep learning driven multimodal fusion for automated deception detection. In: 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27.11.2017-01.12.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci.2017.8285382

Conference Proceeding

Machine learning based computer-aided diagnosis of liver tumours

Ali L, Khelil K, Wajid S, Hussain ZU, Shah MA, Howard A, Adeel A, Shah AA, Sudhakar U, Howard N & Hussain A (2017) Machine learning based computer-aided diagnosis of liver tumours. In: Howard N, Wang Y, Hussain A, Widrow B & Zadeh L (eds.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, 26.07.2017-28.07.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 139-145. https://doi.org/10.1109/ICCI-CC.2017.8109742

Conference Proceeding

Persian Named Entity Recognition

Dashtipour K, Gogate M, Adeel A, Algarafi A, Howard N & Hussain A (2017) Persian Named Entity Recognition. In: Howard N, Wang Y, Hussain A, Widrow B & Zadeh L (eds.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 978-1-5386-0772-5. 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, 26.07.2017-28.07.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc, pp. 79-83. https://doi.org/10.1109/ICCI-CC.2017.8109733