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Dr Ahsan Adeel

Technical Head/R&D Lead, CogBID

EPSRC Research Fellow

 

The ongoing multidisciplinary research aims to exploit the power of advanced artificial intelligence/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

  • Deep Neural Network-based Enhanced Visually-Derived Wiener Filtering For Speech Enhancement, 2016 (in process)
  • A Novel Deep Learning based Lip-Reading Regression Model for Speech Enhancement, 2016 (in process)
  • Deep Convolutional Neural Netowrk based Lip-Reading For Speech Enhancement in Cognitively-Inspired Multi-Modal Hearing-Aid, 2016 (in process)
  • Exploiting Audio Visual Information in Hearing-Aids: A Critical Review including Cognitive, Neurobiological and Behavioral Perspectives, and Future Directions, 2016 (in process)
  • Convolutional Long Short Term Memory based Lip-Reading For Speech Enhancement in Cognitively-Inspired Multi-Modal Hearing-Aid, 2016 (in process)
  • Evaluating hearing aid algorithms in an audiovisual setting, 2016 (in process)
  • Novel Big Data-driven low cost, fast, accurate, and autonomous real-time water monitoring system, 2016 (in process)
  • How to design effective cognitive computing architectures for wide-range of real-world Big-Data applications, 2016 (in process)
  • 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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