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Dr Ahsan Adeel

 Research Fellow

Technical Head/R&D Lead, CogBID

Visiting Fellow: 

  • Massachusetts Institute of Technology, MIT Synthetic Intelligence LAB, USA
  • Qualcomm Research Center, San Diego, USA
  • University of Oxford, Computational Neuroscience Laboratory, UK

 

The ongoing multidisciplinary research aims to exploit the power of advanced artificial intelligence/deep machine learning algorithms to design unorthodox brain inspired cognitive computing architectures for wide-range of real-world applications ranging from smart cities, journalism, media, and policy making to smart governance.

https://www.linkedin.com/in/ahsan-adeel-8a797097/


Research Interests:
• Cognitive neuroscience
• Brain-inspired cognitive computing architectures
• Deep learning SDKs and frameworks.
• Big Data analytics and extraction of meaningful patterns
• Modelling and optimization of complex/dynamic systems.
• Context-aware, fast, and autonomous decision-making algorithms.
• Cognitive/self-organizing cloud-based systems.
• Online optimal parameters adaptation.
• Autonomous and robust neural network-based cognitive controllers.
• Designing improved machine learning techniques.
• GPU programming for high performance computing.

Recent Publications

    • Mandar Gogate, Ahsan Adeel and Amir Hussain, A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition, IEEE Symposium Series on Computational Intelligence, SSCI 2017
    • Mandar Gogate, Ahsan Adeel and Amir Hussain, Deep Learning Driven Multimodal Fusion For Automated Deception Detection, IEEE Symposium Series on Computational Intelligence, SSCI 2017
    • Ahsan Adeel, Mandar Gogate, Amir Hussain, Towards Next-Generation Lip-Reading Driven Hearing-Aids: A preliminary Prototype Demo, CHAT, Interspeech, 2017
    • Ahsan Adeel, Mandar Gogate, Amir Hussain, A Novel Deep Learning based Lip-Reading Derived Wiener Filtering For Speech Enhancement, IEEE transaction on audio, speech, and language processing, 2017.
    • Mandar Gogate, Ahsan Adeel, Amir Hussain, A Novel Stacked Long-Short-Term Memory based Lip-Reading Regression Model for Speech Enhancement, Neurocomputing, 2017
    • Mandar Gogate, Ahsan Adeel, Amir Hussain, A Critical Analysis of Deep Learning Algorithms for Lip-Reading, Information Fusion, 2017
    • Amir Hussain, Jon Barker, Ricard Marxer, Ahsan Adeel, William Whitmer, Roger Watt, Peter Derleth, Towards Multi-modal Hearing Aid Design and Evaluation in Realistic Audio-Visual Settings: Challenges and Opportunities, CHAT, Interspeech, 2017
    • A.Adeel, A.Hussain, M. Gogate, Convolutional Long Short Term Memory based Lip-Reading For Speech Enhancement in Cognitively-Inspired Multi-Modal Hearing-Aid, 2017
    • Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Amir Hussain and Abdulrahman Alqarafi, Comparative Study of Persian Sentiment Analysis based on different Feature Combinations, CSPS 2017
    • Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Amir Hussain, Abdulrahman Algarafi, Persian Named Entity Recognition, IEEE ICCIC, 2017
    • L.Ali, A. Hussain, S.Kanwal, A. Adeel, Zain U. Hussain, Moiz Ali Shah, Newton Howard, A.A. Shah, U. Sudhakar, Khaled Khelil, A Computational Intelligence based CAD System for Hepatocellular Carcinoma Diagnosis, IEEE ICCIC, 2017
    • L.Ali, A. Hussain, S.Kanwal, A. Adeel, Zain U. Hussain, Moiz Ali Shah, Newton Howard, A.A. Shah, U. Sudhakar, Khaled Khelil, Towards Computer Aided Diagnosis System for Hepatocellular Carcinoma (HCC) early detection, diagnosis and classification using LESH Features, CSPS 2017
    • Abdulrahman Alqarafi, Ahsan Adeel, Mandar Gogate, Kia Dashtipour and Amir Hussain , Toward Arabic Multi-modal Sentiment Analysis, CSPS 2017
    • Ahsan Adeel, Mandar Gogate, Amir Hussain, Novel Big Data-driven low cost, fast, accurate, and autonomous real-time water monitoring system, 2017
    • Ahsan Adeel, Mandar Gogate, Amir Hussain, How to design effective cognitive computing architectures for wide-range of real-world Big Data applications, 2017
    • Ashraya Shiva, Ahsan Adeel, Amir Hussain, Exploiting Audio Visual Information in Hearing-Aids: A Critical Review including Cognitive, Neurobiological and Behavioral Perspectives, and Future Directions, 2017
    • Adeel, H. Larijani, A. Ahmadinia, "Random neural network based cognitive engines for adaptive modulation and coding in LTE downlink systems", Computers & Electrical Engineering, 2016.
    • Adeel, H. Larijani, A. Ahmadinia, Resource Management and Inter-Cell-Interference Coordination using Random Neural Network and Optimization, Access, IEEE Journal, Special Section in Artificial Intelligence Enabled Networking, 2015.
    • Adeel, H. Larijani, A. Ahmadinia, Random Neural Network based novel decision making framework for optimized and autonomous power control in LTE uplink system, Elsevier Journal-Physical Communication, 2015: Special Issue on Self-optimizing Cognitive Radio Technologies
    • Adeel, H. Larijani, A. Ahmadinia, Online Adaptive Modulation and Coding for MIMO-OFDM wireless systems using Random Neural Networks, Elsevier Special issue on Advanced Computing in Networking and Intelligent Systems
    • Adeel, H. Larijani, A. Ahmadinia, Impact of Learning Algorithms on Random Neural Network based Optimization for LTE-UL Systems, Journal of Network Protocols and Algorithms, 2015, Special Issue on Software Defined and Context Aware Cognitive Networks.
    • Adeel, H. Larijani, A. Ahmadinia, Random neural network based cognitive-eNodeB deployment in LTE uplink, IEEE GLOBECOM 2015: Cognitive Radio and Wireless Networks
    • Adeel, H. Larijani, A. Ahmadinia, Random neural network based power controller for inter-cell interference coordination in LTE- uplink, IEEE ICC 2015 Workshop on Advances in Software Defined and Context Aware Cognitive Networks, 2015
    • Adeel, H. Larijani, A. Ahmadinia, Critical analysis of learning algorithms in random neural network based cognitive engine for LTE systems, IEEE Vehicular Technology Conference (VTC), 2015
    • Adeel, H. Larijani, A. Ahmadinia, Performance analysis of random neural networks in LTE uplink of a cognitive radio system, IEEE International Workshop on Cognitive Cellular Systems, 2014.
    • Adeel, H. Larijani, A. Ahmadinia, Efficient use of random neural networks for cognitive radio system in LTE, IEEE International Symposium on Wireless Communication Systems 2014.
    • Adeel, H. Larijani, A. Ahmadinia, Performance Analysis of Artificial Neural Network-Based Learning Schemes for Cognitive Radio Systems in LTE, Advanced Information Networking and Applications Workshops, 2014
    • Adeel, H. Larijani, A. Ahmadinia, Targeting high value customers under resource constraints: Genetic algorithm based optimization with random neural networks, Elsevier-Journal of Interactive Marketing, 2015
    • Adeel, Shahid Mehmood, Mian Hammad Nazir, PAPR and Bandwidth Analysis of SISO-OFDM/WOFDM and MIMO OFDM/WOFDM (WiMAX) for Multipath fading channel, International Journal of Computer Applications, Foundation of Computer Science, 2012
    • Nazir, Mian Hammad, Shahid Mehmood, Nathirulla Sheriff, and Ahsan Adeel, Improved Efficient RFID Tag Estimation Scheme, International Journal of Computer Applications, Foundation of Computer Science, 2012
    • A.Adeel, Raed A. Abd-Alhameed, O. Anoh, Performance comparison of OFDM and Wavelet Based OFDM for Multi-path fading channel, Fourth International Conference on Internet Technologies (ITA 11), 2011

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