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.
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.
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