Welcome to AI4Networks Research Center

Our research at The Artificial Intelligence (AI) for Networks Research Center at the University of Oklahoma is focused on following two themes:

  • Data and machine learning driven analysis for designing, optimizing and introducing intelligence in complex, networked and dynamic systems such as mobile networks (5G, 6G), IoT, smart grids, UAV based autonomous systems and self-organizing networks (SON).
  • Leveraging AI and Big Data for revolutionizing healthcare.

Over the years our research on above two themes have been funded by numerous grants from federal and international funding agencies as well as private sector totaling over $4 million. Our research tackles real world problems faced by ICT industry and is supported by a number of key players in the industry to transition our research output to practice.

Explore the rest of website for details of sponsors and collaborators. For funded PhD positions in the AI4Networks center, collaboration and other inquires contact AI4Networks Director Prof. Ali Imran at: Ali dot Imran at OU.edu
AI4Networks Research Center is home to TurboRAN.

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  • Future Mobility
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NEWS and Updates

Publications

Copyright Disclaimer: Personal use of the downloadable material provided on this page is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the pertinent copyright holder. For latest publications please see: Google Scholar Profile.

Patent:

Ali Imran, Adnan Abu-Dayya, “METHODS OF OPTIMIZING TILT ANGLE OF AN ANTENNA”, PCT/IB2013/058807.

Book Chapters:

A Zoha, O Onireti, A Saeed, A Imran, MA Imran, A Abu-Dayya, “ Outage Detection Framework for Energy Efficient Communication Network”, a book chapter in book titled “Energy Management in Wireless Cellular and Ad-hoc Networks” , 3-29, Volume 50 of the series Studies in Systems, Decision and Control, Springer, pp 3-29, 15-Jan-2016.
Ali Imran, Lorenza Giupponi, ‘ Use of Learning, Game Theory and Optimization as Biomimetic Approaches for Self-Organization in Heterogeneous Networks’, a book chapter in book titled, ‘Cognitive Signals and Communication Technology pp 237-268, Springer, 2014
Lorenza Giupponi, Ali Imran, “Self Organizing ICIC for SCN”, in book titled ‘Design and Deployment of Small Cell networks”, Cambridge, 2015.
Haneya Naeem Qureshi, Ali Imran “Towards Realistic Modeling of Drone-based Cellular Network Coverage”, a book chapter in book titled ‘Enabling 5G Communication System to Support Vertical Industries”, in press for publication by Wiley, Dec, 2018.
Hasan Farooq, Md. Salik Parwez, Ali Imran, “Continuous-Time Markov Chain-Based Reliability Analysis for Future Cellular Networks”, a book chapter in book titled ‘Big Data Applications in Telecommunications Industry”, IGI Publisher, Feb, 2017. ISBN: 9781522517504. (based on a Globecom 2015 paper).
Md. Salik Parwez, Hasan Farooq, Ali Imran, “Spectral Efficiency Self-Optimization through Dynamic User Clustering and Beam Steering”, a book chapter in book titled ‘Big Data Applications in Telecommunications Industry.”, IGI Publisher, Feb, 2017. ISBN: 9781522517504 (based on a Globecom 2015 paper).

Journals:

Bilal Hussain, Qinghe Du Sihai Zhang, Ali Imran, Muhmmad Ali Imran "Mobile Edge Computing-Based Data-Driven Deep Learning Framework for Anomaly Detection”, IEEE Access, 2019.
Sanaullah Manzoor, Suleman Mazhar, Ahmad Asghar, Adnan Noor Mian, Ali Imran, Jon Crowcroft “Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks”, Transaction on Emerging Telecommunications Technologies, 2019.
Hartmann, M, Hashmi, US, and A. Imran, “Edge computing in smart health care systems: Review, challenges, and research directions”, Transaction on Emerging Telecommunications Technologies, 2019.
Shruti Bothe, Haneya Naeem Qureshi and A. Imran, “Which statistical distribution best characterizes modern cellular traffic and what factors could predict its spatio-temporal variability?”, IEEE Communication Letters.
SWH Shah, M Rahman, AN Mian, A Imran, S Mumtaz, OA Dobre, “On the Impact of Mode Selection on Effective Capacity of Device-to-Device Communication”, IEEE Communication Letters. (Accepted for Publication, 2019)
Haneya Naeem Qureshi and A. Imran, “Optimal bin width for autonomous coverage estimation using MDT reports in the presence of user positioning error”, IEEE Communication Letters. (Accepted for Publication, Feb. 2019)
Haneya Naeem Qureshi and A. Imran, “On the Trade-offs between Coverage Radius, Altitude and Beamwidth for Practical UAV Deployments”, IEEE Transactions on Aerospace and Electronic Systems. (Accepted for Publication, Dec. 2018)
H. Farooq, A. Asghar and A. Imran, “Mobility Prediction based Autonomous Proactive Energy Saving (AURORA) Framework for Emerging Ultra-Dense Networks”, IEEE Transactions on Green Communciations and Networking, 2018.
A. Asghar, H. Farooq, and A. Imran, “Concurrent Optimization of Coverage, Capacity and Load Balance in HetNets through Soft and Hard Cell Association Parameters”, IEEE Transactions on Vehicular Technology, 2018.
Azar Taufique, Abdelrahim Mohamed, Hasan Farooq, Ali Imran and Rahim Tafazolli, “Analytical Modelling for Mobility Signalling in Ultra-Dense HetNets”, IEEE Transactions on Vehicular Technology, 2018.
A. Asghar, H. Farooq, and A. Imran, “Self-Healing in Emerging Cellular Networks: Review, Challenges and Research Directions”, IEEE Communications Surveys Tutorials, 2018.
U. S. Hashmi, S. A. R. Zaidi and A. Imran, “User-Centric Cloud RAN: An Analytical framework for Optimizing Area Spectral and Energy Efficiency”, IEEE Access Special Section on Modelling, Analysis, and Design of 5G Ultra-Dense Networks, 2018.
A. Zoha, A. Saeed, H. Farooq, A. Rizwan, A. Imran and M. A. Imran, “Leveraging Intelligence from Network CDR Data for Interference aware Energy Consumption Minimization”, IEEE Transactions on Mobile Computing (Accepted for Publication), 2017.
A. Taufique, M. Jaber, A. Imran, Z. Dawy, E. Yaacoub, "Planning Wireless Cellular Networks of Future: Outlook, Challenges and Opportunities" in IEEE Access, Vol. 5, pp. 4821-4845, 2017.
H. Farooq and A. Imran, "Spatiotemporal Mobility Prediction in Proactive Self-Organizing Cellular Networks," in IEEE Communications Letters, vol. 21, no. 2, pp. 370-373, Feb. 2017.
S. Bassoy; H. Farooq; M. A. Imran; A. Imran, "Coordinated Multi-Point Clustering Schemes: A Survey," in IEEE Communications Surveys & Tutorials , vol.PP, no.99, pp.1-1, 2017.
Hasan Farooq, Ali Imran, Adnan Abu-Dayya, “A multi-objective performance modelling framework for enabling self-optimization of cellular network topology and configurations”, in Transaction of Emerging Telecommunications technologies. Jun, 2016, 15 MAY 2016, DOI: 10.1002/ett.3043
Onireti, Oluwakayode; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim, “Coverage, Capacity and Energy Efficiency Analysis in the Uplink of mmWave Cellular Networks”, accepted in IEEE Transactions on Vehicular Technologies.
Mohamed, A.; Onireti, O.; Imran, M.; Imrany, A.; Tafazolli, R., “Predictive and Core-network Transparent Handover in Cellular Networks with Control/Data Separation”, accepted in IEEE Transactions on Wireless Communications.
Akbari, I.; Onireti, O.; Imran, A.; Imran, M.; Tafazolli, R., "How Reliable is MDT Based Autonomous Coverage Estimation in the Presence of User and BS Positioning Error?," IEEE in Wireless Communications Letters, vol.PP, no.99, pp.1-1 doi: 10.1109/LWC.2016.2516989, Jan, 2016
Mohamed, A.; Onireti, O.; Imran, M.A.; Imran, A.; Tafazolli, R., "Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook," in IEEE Communications Surveys & Tutorials, vol.18, no.1, pp.446-465, First quarter 2016 doi: 10.1109/COMST.2015.2451514 .
Hernandez Aquino, R.; Zaidi, S.; McLernon, D.; Ghogho, M.; Imran, A., “Tilt Angle Optimization in Two-tier Cellular Networks – A Stochastic Geometry approach,” in IEEE Transactions on Communications, vol. PP, no.99, pp.1-1, Oct, 2015, doi: 10.1109/TCOMM.2015.2485981
Mustafa, H.A.; Shakir, M.Z.; Imran, M.A.; Imran, A.; Tafazolli, R., “Coverage Gain and Device-to-Device User Density: Stochastic Geometry Modeling and Analysis,” in IEEE Communications Letters, vol.19, no.10, pp.1742-1745, Oct. 2015 doi: 10.1109/LCOMM.2015.2459677
Onireti, Oluwakayode; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim, “Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous Networks”, IEEE Transactions on Vehicular Technology, Aug, 2015 doi: 10.1109/TVT.2015.2482818
Mustafa, H.; Imran, M.; Shakir, M.; Imran, A.; Tafazolli, R., “Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks,” in IEEE Communications Surveys & Tutorials, vol.PP, no.99, pp.1-1 doi: 10.1109/COMST.2015.2459596
Ahmed Zoha, Arsalan Saeed, Ali Imran, Muhammad Imran, Adnan Abu-Dayya, “ A Learning based Approach for Autonomous Outage Detection and Coverage Optimization”, in Transactions on Emerging Telecommunications Technologies, Aug, 2015, DOI: 10.1002/ett.2971
Lateef, H.Y.; Imran, A.; Ali Imran, M.; Giupponi, L.; Dohler, M., “LTE-advanced self-organizing network conflicts and coordination algorithms,” IEEE Wireless Communications , vol.22, no.3, pp.108,117, June 2015, doi: 10.1109/MWC.2015.7143333
Onireti, O.; Zoha, A.; Moysen, J.; Imran, A.; Giupponi, L.; Imran, M.; Abu Dayya, A., “A Cell Outage Management Framework for Dense Heterogeneous Networks,” IEEE Transactions on Vehicular Technology, vol.PP, no.99, pp.1,1, May, 2015
Zaidi, S.; Imran, A.; McLernon, D.; Ghogho, M., “Characterizing Coverage and Downlink Throughput of Cloud Empowered HetNets,” IEEE Communications Letters, vol.PP, no.99, pp.1,1, Mar, 2015 doi: 10.1109/LCOMM.2015.2401565
Imran, A.; Zoha, A., Abu-Dayya, Adnan “Challenges in 5G: how to empower SON with big data for enabling 5G,” IEEE Network, vol.28, no.6, pp.27,33, Nov.-Dec. 2014doi: 10.1109/MNET.2014.6963801
T. Alsedairy, Y. Qi, A. Imran, M. A. Imran, B. Evans, “Self Organizing Cloud cells: A Resource Efficient Network Densification Strategy”, Transactions on Emerging Telecommunication Technologies, April, 2014, doi: 10.1002/ett.2824
A. Imran.; Muhammad Ali Imran, Adnan Abu Dayya and Rahim Tafazolli; “Self Optimization of Tilts in Relay Enhanced Networks: A Distributed Solution”, IEEE Transactions on Wireless Communications, vol.13, no.2, pp.764,779, February 2014
O. Aliu, A. Imran, M. Imran, and B. Evans, “A survey of self-organization in future cellular networks”, IEEE Communications Surveys Tutorials, vol. PP, no. 99, pp. 1 –26, 2013.
Imran, A.; Imran, M.A.; Tafazolli, R., “Relay Station Access Link Spectral Efficiency Optimization through SO of Macro BS Tilts”. IEEE Communication Letters, Vol. 99, page 1-3, Nov-2011
Quddus, A.; Guo, T.; Shariat, M.; Hunt, B.; Imran, A; Ko, Y.; Tafazolli, R. “Next Generation Femtocells: An Enabler for High Efficiency Multimedia Transmission”, IEEE Comm E-Letters, Vol. 5, No. 5, September 2010

Peer Reviewed Conference Papers:

Marvin Manalastas, Hasan Farooq, Syed Asad Zaidi, Ali Imran, “Where to Go Next?: A Realistic Evaluation of AI-Assisted Mobility Predictors for HetNet”, accepted in 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, Jan, 2020.
U. S. Hashmi, A. Rudrapatna, Z. Zhao, M. Rozwadowski, J. Kang, R. Wuppalapati and A. Imran, "Towards Real-time User QoE assessment via Machine Learning on LTE network data", in IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Honolulu, Hawaii, USA, September 2019.
U. Masood, H. Farooq, and A. Imran, "A Machine Learning based 3D Propagation Model for Intelligent Future Cellular Networks", 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, USA, 2019, pp. 1-6. doi: 10.1109/GLOBECOM38437.2019.9014187
Hasan Farooq, Ali Imran, Mona Jaber, "AI empowered Smart User Association in LTE Relays HetNets", in IEEE ICC 2019 First International Workshop on Data Driven Intelligence for Networks and Systems (DDINS).
Hana Gebre, Hasan Farooq, Ali Imran, "What Machine Learning Predictor Performs Best for Mobility Prediction in Cellular Networks?", accepted in IEEE ICC 2019 First International Workshop on Data Driven Intelligence for Networks and Systems (DDINS).
Ahmad Asghar, Hasan Farooq, Ali Imran, "Outage Detection for Millimeter Wave Ultra-Dense HetNets in High Fading Environments", accepted in IEEE ICC 2019.
Ali Hayajneh, Syed Zaidi, Des McLernon, Moe Win, Ali Imran, Mounir Ghogho, "Optimal Coverage and Rate in Downlink Cellular Networks: A SIR Meta-Distribution Based Approach", in Proc. IEEE Global Communications Conference (Globecom 2018), Abu Dhabi, United Arab Emirates, Dec. 2018.
M. N. Rafiq, H. Farooq, A. Zoha and A. Imran, "Can Temperature Be Used as a Predictor of Data Traffic: A Real Network Big Data Analysis", in Proc. 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, 2018.
Ben Hughes, Shruti Bothe, Hasan Farooq and A. Imran, "Generative Adversarial Learning for Machine Learning empowered Self Organizing 5G Networks", in 2019 IEEE International Conference on Computing, Networking and Communications (ICNC 2019), Hawaii, Feb. 2019.
U. Masood, A. Asghar, A. Imran, and A. N. Mian, "Deep learning based detection of sleeping cells in next generation cellular networks", in 2018 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (Globecom2018 CQRM), Abu Dhabi, United Arab Emirates, Dec. 2018.
H. Farooq, A. Asghar and A. Imran, "Mobility Prediction empowered Proactive Energy Saving Framework for 5G Ultra-Dense HetNets", IEEE Global Communications Conference: Green Communications Systems and Networks (Globecom 2018 GCSN), Abu Dhabi, United Arab Emirates, Dec. 2018.
Haneya Naeem Qureshi and Ali Imran, "Towards Designing Systems with Large Number of Antennas for Range Extension in Ground-to-Air Communications", accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, Bologna, Italy.
U. Hashmi, A. Islam, K. M. Nasr, and A. Imran, "Towards user QoE-Centric elastic cellular networks: A game theoretic framework for optimizing throughput and energy efficiency", accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, Bologna, Italy.
U. Farooq, U. Hashmi, J. Qadir, A. Imran, and A. N. Mian, "User transmit power minimization through uplink resource allocation and user association in HetNets", IEEE Global Communications Conference: Green Communications Systems and Networks (Globecom 2018 GCSN), Abu Dhabi, United Arab Emirates, Dec. 2018.
U. S. Hashmi, S. A. R. Zaidi, A. Darbandi and A. Imran, "On the Efficiency tradeoffs in User-Centric Cloud RAN", accepted in IEEE International Conference on Communications (ICC) 2018 to be held at Kansas City, MO, USA from 20-24 May 2018.
S. Cetinkaya, U. Hashmi, A. Imran, "What User-Cell Association Algorithms will work best in mmWave Massive MIMO Ultra-Dense HetNets?", accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2017 to be held at Montreal, QC, Canada from 08-13 October 2017.
A. Asghar, H. Farooq, A. Imran, "A Novel Load-Aware Cell Association for Simultaneous Network Capacity and User QoS Optimization in Emerging HetNets ", accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2017 to be held at Montreal, QC, Canada from 08-13 October 2017.
Yash Kumar, Hasan Farooq, Ali Imran, "Fault Prediction and Reliability Analysis in a Real Cellular Network" accepted in IWCMC 2017 Conference to be held june 26-30, 2017, Valencia, Spain.
Oluwakayode Onireti, Ali Imran, Muhammad Ali Imran, "Coverage Analysis in the Uplink of mmWave Cellular Network" accepted in EuCNC to be held June 12-15, 2017 Oulu, Finland.
Umair Hashmi, Arsalan Darbandi, Ali Imran, “Enabling Proactive Self-Healing by Data Mining Network Failure Logs”, accepted in 2017 International Conference on Computing, Networking and Communications (ICNC).
Mohamad Omar Al Kalaa, Ali Imran, Hazem H Refai, “mmWave based vs 2 GHz networks: What is more energy efficient?”, in proceedings of 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), pg. 67-71, doi: 10.1109/IWCMC.2016.7577035
Naim Bitar, Ali Imran, Hazem Refai, "A User Centric Self-Optimizing Grid-based approach for Antenna Steering Based on Call Detail Records”, Accepted in the IEEE Wireless Communications and Networking Conference (WCNC), 3-6 April 2016, Doha, Qatar.
Onireti, Oluwakayode; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim, “Impact of Positioning Error on Achievable Spectral Efficiency in Database-aided Networks” Accepted in IEEE International Conference on Communications (ICC), 23-27 May 2016, Kuala Lumpur, Malaysia
H. Farooq, M. S. Parwez and A. Imran, "Continuous Time Markov Chain Based Reliability Analysis for Future Cellular Networks," 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, 2015, pp. 1-6. doi: 10.1109/GLOCOM.2015.7417594
M. S. Parwez, H. Farooq, A. Imran and H. Refai, "Spectral Efficiency Self-Optimization through Dynamic User Clustering and Beam Steering," 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, 2015, pp. 1-7. doi: 10.1109/GLOCOM.2015.7417587
B. Romanous, N. Bitar, S. A. R. Zaidi, A. Imran, M. Ghogho and H. H. Refai, "A Game Theoretic Approach for Optimizing Density of Remote Radio Heads in User Centric Cloud-Based Radio Access Network," 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, 2015, pp. 1-6. doi: 10.1109/GLOCOM.2015.7417798
Akbari, Iman; Onireti, Oluwakayode; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim, "Impact of inaccurate user and base station positioning on autonomous coverage estimation," in 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) , vol., no., pp.114-118, 7-9 Sept. 2015 doi: 10.1109/CAMAD.2015.7390491
Saeed, Arsalan; Katranaras, Efstathios; Zoha, Ahmed; Imran, Ali; Imran, Muhammad Ali; Dianati, Mehrdad, "Energy efficient resource allocation for 5G Heterogeneous Networks," in Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), 2015 IEEE 20th International Workshop on , vol., no., pp.119-123, 7-9 Sept. 2015 doi: 10.1109/CAMAD.2015.7390492
Onireti, O.; Imran, A.; Imran, M.A.; Tafazolli, R., "On energy efficient inter-frequency small cell discovery in heterogeneous networks," in IEEE International Conference on Communications (ICC) , vol., no., pp.13-18, 8-12 June 2015 doi: 10.1109/ICC.2015.7248291
Mohamed, A.; Onireti, O.; Hoseinitabatabaei, S.A.; Imran, M.; Imran, A.; Tafazolli, R., "Mobility prediction for handover management in cellular networks with control/data separation," in IEEE International Conference on Communications (ICC), , vol., no., pp.3939-3944, 8-12 June 2015 doi: 10.1109/ICC.2015.7248939
Mohamed, A.; Onireti, O.; Imran, M.; Imrany, A.; Tafazolli, R., "Correlation-based adaptive pilot pattern in control/data separation architecture," in IEEE International Conference on Communications (ICC), 2015, vol., no., pp.2233-2238, 8-12 June 2015 doi: 10.1109/ICC.2015.7248657
Zoha, A.; Saeed, A.; Imran, A.; Imran, M.A.; Abu-Dayya, A., "Data-driven analytics for automated cell outage detection in Self-Organizing Networks," in 11th International Conference on the Design of Reliable Communication Networks (DRCN), 2015, pp.203-210, 24-27 March 2015, Kansas City, USA, doi: 10.1109/DRCN.2015.7149014
Zoha, A.; Saeed, A.; Imran, A.; Imran, M.A.; Abu-Dayya, A., "A SON solution for sleeping cell detection using low-dimensional embedding of MDT measurements," in IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), pp.1626-1630, 2-5 Sept. 2014, Washington, DC, USA
Imran, Ali; Giupponi, Lorenza; Imran, Muhammad A; Abu-Dayya, Adnan, "Joint coverage and backhaul self-optimization in emerging relay enhanced heterogeneous networks," IEEE International Conference on Communications (ICC), pp.2671,2677, 10-14 June 2014 doi: 10.1109/ICC.2014.6883727
Peyvandi, Hossein; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim, "A Target-Following Regime using Similarity Measure for Coverage and Capacity Optimization in Self-Organizing Cellular Networks with Hot-Spot," in Proceedings of 20th European Wireless Conference; pp.1,6, 14-16 May 2014
Syed A. R. Zaidi, Ali Imran, Desmond McLernon, Mounir Ghogho, “Enabling IoT Empowered Smart Lighting Solutions: A Communication Theoretic Perspective”, in Internet of Things Workshop held with IEEE WCNC, 6-9, April, 2014, Istanbul, Turkey
Akbari, Iman; Onireti, Oluwakayode; Imran, Muhammad Ali; Imran, Ali; Tafazolli, Rahim, "Effect of Inaccurate Position Estimation on Self-Organising Coverage Estimation in Cellular Networks," in Proceedings of 20th European Wireless Conference; pp.1,5, 14-16 May 2014.
Onireti, Oluwakayode; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim, "Cell Outage Detection in Heterogeneous Networks with Separated Control and Data Plane," in Proceedings of 20th European Wireless Conference; pp.1,6, 14-16 May 2014
Mohamed, Abdelrahim; Onireti, Oluwakayode; Qi, Yinan; Imran, Ali; Imran, Muhammed; Tafazolli, Rahim, "Physical Layer Frame in Signalling-Data Separation Architecture: Overhead and Performance Evaluation," in Proceedings of 20th European Wireless Conference; pp.1,6, 14-16 May 2014.
Imran, Ali; Yaacoub, Elias; Dawy, Zaher; Abu-Dayya, Adnan, “A Mathematical Modelling Approach and a Novel Solution for Sector Azimuth Angle Planning”, in proceedings of 17th IEEE Mediterranean Electrotechnical Conference (MELECON’2014), pp.334-338, 13-16 April 2014.
Yaacoub, Elias; Imran, Ali; Dawy, Zaher, "A generic simulation-based dimensioning approach for planning heterogeneous LTE cellular networks," in proceedings of 17th IEEE Mediterranean Electrotechnical Conference (MELECON’2014), pp.320-326, 13-16 April 2014.
Ahmed Zoha, Ali Imran, Adnan Abu-Dayya, Arslaan Saeed " A Machine Learning Framework for Detection of Sleeping Cells in LTE Network", in 1st Machine Learning and Data Analysis Symposium, 3-4, Mar, 2014, Doha, Qatar, http://www.mldas.org/contributed.php
Lateef, Hafiz Yasar; Imran, Ali; Abu-Dayya, Adnan,, "A framework for classification of Self-Organising network conflicts and coordination algorithms," in proceedings 24th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’2013), pp.2898-2903, 8-11 Sept. 2013.
Imran, A.; Yaacoub, E.; Dawy, Z.; Abu-Dayya, A., "On the capacity and spatial fairness trade-off in planning sectorization and frequency reuse," in proceedings of 3rd International Conference on Communications and Information Technology (ICCIT’2013), pp.406-410, 19-21 June 2013.
Peyvandi, H.; Imran, A.; Imran, M.A.; Tafazolli, R., "On Pareto-Koopmans efficiency for performance-driven optimisation in Self-Organising Networks," in proceedings of IET Intelligent Signal Processing Conference (ISP 2013), pp.1-6, 2-3 Dec. 2013.
Yaacoub, E.; Imran, A.; Dawy, Z.; Abu-Dayya, A., "A game theoretic framework for energy efficient deployment and operation of heterogeneous LTE networks," in proceedings of IEEE 18th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD’13), pp.33-37, 25-27 Sept. 2013 (Best Paper Award)
Imran, Muhammad Ali; Imran, Ali; Onireti, Oluwakayode, "Participatory sensing as an enabler for self-organization in future cellular networks", in proceedings of IOP Conference Series on Material Sciences and Engineering, 2013. doi:10.1088/1757-899X/51/1/012003.
Imran, Ali; Yaacoub, Elias; Dawy, Zaher; Abu-Dayya, Adnan, "Planning Future Cellular Networks: A Generic Framework for Performance Quantification," in proceedings of the 2013 19th European Wireless Conference (EW’2013), pp.1-7, 16-18 April 2013
Imran, A.; Yaacoub, E.; Imran, M.A.; Tafazolli, R., "Distributed Load Balancing through Self Organisation of cell size in cellular systems," in proceedings 23st IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’2012), pp.1114-1119, Sept. 2012
Imran, A.; Bennis, M.; Giupponi, L., "Use of learning, game theory and optimization as biomimetic approaches for Self-Organization in macro-femtocell coexistence," in proceedings of IEEE Wireless Communications and Networking Conference Workshops (WCNCW’2011), pp.103-108, 1-1 April 2012, doi: 10.1109/WCNCW.2012.6215470
Imran, Ali; Imran, Muhammad Ali; , Atta-ul-Quddus; Tafazolli, Rahim; , "Distributed spectral efficiency optimization at hotspots through self-organisation of BS tilts," in proceedings of 54th IEEE Global Communications Conference (GLOBECOM’ 2011), pp.570-574, 5-9 Dec. 2011
Kosta, C.; Imran, A.; Quddus, A.U.; Tafazolli, R., "Flexible Soft Frequency Reuse Schemes for Heterogeneous Networks (Macrocell and Femtocell)," in proceedings IEEE 73rd Vehicular Technology Conference (VTC Spring 2011), pp.1-5, 15-18 May 2011.
Imran, A.; Imran, M.A.; Tafazolli, R; "A novel Self Organizing framework for adaptive Frequency Reuse and Deployment in future cellular networks," in proceedings 21st IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’2010), pp.2354-2359, 26-30 Sept. 2010.
Imran, A.; Imran, M.A.; Tafazolli, R., "A new performance characterization framework for Deployment Architectures of next generation distributed cellular networks," in proceedings 21st IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’2010), pp.2046-2051, 26-30 Sept. 2010.
Imran, A; M. Shateri, R. Tafazolli, "On the comparison of performance, capacity and economics of terrestrial base station and high altitude platform based deployment of 4G,” in proceedings of 12th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, pp58-63, 26-30 Oct 2009.
Imran, A.; Tafazolli, R., "Evaluation and comparison of capacities and costs of Multihop Cellular Networks," in proceedings of IEEE 16th International Conference on Telecommunications, pp.160-165, 25-27 May 2009
Imran, A.; Tafazolli, R., "Performance & capacity of mobile broadband WiMAX (802.16e) deployed via High Altitude Platform," in proceedings of 15th International European Wireless Conference, pp.319-323, 17-20 May 2009

NEWS

  • January, 2020

    Congratulations to Haneya Naeem Qureshi

    --Congratulations to Haneya Naeem Qureshi, She started the Year 2020 with a well deserved 1st Position along with $500 Cash Prize in "3 Minute Thesis" competition held at University of Oklahoma. Thanks for making us proud through your hard-work and dedication.

    Congratulations to Hasan Farooq

    --Congratulations to Hasan Farooq for acceptance of his paper titled "Mobility Prediction based Proactive Dynamic Network Orchestration for Load Balancing with QoS Constraint (OPERA)” in IEEE Transactions on Vehicular Technology, 2020.

  • November, 2019

    --Prof. Imran to give keynote at IEEE 2nd International workshop on Data Driven Intelligence for Networks and Systems workshop at Infocom 2020, April 27-30, Beijing, China.

  • October, 2019

    --Dr. Imran to deliver a keynote titled 'How AI can transform the way mobile networks are deployed, operated, managed and maintained' at AI World, Boston, USA.

    --Dr. Imran to give a panel talk titled 'AI for 5G and Beyond' at AI World, Boston, USA.

    Congratulations to Marvin Manalastas

    --Congratulations to Marvin Manalastas for acceptance of the paper titled "Where to Go Next?: A Realistic Evaluation of AI-Assisted Mobility Predictors for HetNet” in IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, Jan, 2020.

    Congratulations to Morgan Hartmann

    --Congratulations to Morgan Hartmann for acceptance of the paper titled "Distilled Deep Learning Based Abnormal Heart Beat Classification using ECG Data through a low cast edge device” in Fourth International Workshop on ICT Solutions for Health (ICTS4eHealth'19), Barcelona, Jun, 2019.

  • September, 2019

    --AI4Networks Research Center has received a new NSF award of $750k for a collaborative project on next generation AI enabled lean, elastic and agile network design. The project is titled SpiderNET: Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for Future Networks

    --Dr. Imran to give a half day invited workshop on "AI-based Deep Automation in Emerging Networks" to executives and R&D team of Samsung America at Dallas Campus, Sept 5, 2019

    Congratulations to Asad Zaidi

    --Congratulations to Asad Zaidi for joining Sprint Telecommunications for Fall 2019.

    Congratulations to Dr. Hasan Farooq

    --Congratulations to Dr. Hasan Farooq for joining Ericsson, Santa Clara as AI Researcher.

    Congratulations to Shruti Bothe

    --Congratulations to Shruti Bothe for joining Ericsson, Santa Clara as Data Scientist.

    Congratulations to Morghan Hartmann

    --Congratulations to Morghan Hartmann for acceptance of the paper titled "Edge computing in smart health care systems: Review, challenges, and research directions” in Transaction on Emerging Telecommunications Technologies, 2019.

    Congratulations to Ahmad Asghar

    --Congratulations to Ahmad Asghar for acceptance of the paper titled "Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks” in Transactions on emerging telecommunications technologies, 2019.

    Congratulations to Umair Hashmi

    --Congratulations to Umair Hashmi for acceptance of the paper titled "Towards Real-time User QoE assessment via Machine Learning on LTE network data” in IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Honolulu, Hawaii, USA, September 2019.

  • August, 2019

    --AI4Networks Research Center welcomes Muhammad Sajid Riaz and Waseem Raza, Graduate Research Assistant and PhD candidate, to its family.

    --AI4Networks Research Center welcomes Aneeqa Ijaz and Muhammad Umar Bin Farooq, Fulbright Scholar and PhD candidate, to its family.

    Congratulations to Umair Hashmi

    ----Congratulations to Umair Hashmi for his appointment as Assistant Professor in School of Electrical Engineering & Computer Science (SEECS), NUST, Islamabad, Pakistan.

    --Haneya Naeem successfully completed her experimental data gathering campaign at 5GIC Testbed, Surrey, UK. The data gathered in this campaign is going to enable a new level of cross validation of the theoretical and simulation based results produced in the AI4Networks Research Center.

    Congratulations to Usama Masood

    --Congratulations to Usama Masood for acceptance of the paper titled "A Machine Learning based 3D Propagation Model for Intelligent Future Cellular Networks,” in 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, USA, Dec. 2019.

  • June, 2019

    --Dr. Imran to give an invited talk titled 'AI Based Zero Touch Deep Automation: Some Novel Solutions and Promising Results' at Samsung Networks, Partners' Day, June 18th, 2019, Mt. View, California.

    Congratulations to Umair Hashmi

    --Congratulations to Umair Hashmi for successfully defending his PhD dissertation.

    --Umair Hashmi, a recent graduate from the AI4NETWORKS Research Center and OU Tulsa's first Fulbright graduate was featured in OU Inside.

  • May, 2019

    --Dr. Imran received 2019 Spring William H. Barkow Presidential Professorship award.

    Keynote at 5G NA

    --Dr. Imran to deliver a keynote at 5G North America, Denver, Colorado on 8th May, 2019.

    --Congratulations to Asad Zaidi for being offered an internship position in Shenandoah Telecommunications Company (Shentel).

    Congratulations to Marvin

    --Congratulations to Marvin for being offered an internship position in Shenandoah Telecommunications Company (Shentel).

    --Dr. Imran to give the keynote in Shanghai, China at IEEE ICC 2019 workshop on Data Driven Intelligence for Networks and Systems (DDINS).

    Congratulations to Ahmad Asghar

    --Congratulations to Ahmad Asghar for acceptance of his conference paper titled "Outage Detection for Millimeter Wave Ultra-Dense HetNets in High Fading Environments" in IEEE ICC, 2019.

    Congratulations to Hasan Farooq

    --Congratulations to Hasan Farooq on acceptance of his research paper "AI empowered Smart User Association in LTE Relays HetNets" in IEEE ICC, 2019.

    Congratulations to Hasan Farooq and Hana

    --Congratulations to Hasan Farooq and Hana on acceptance of their research paper "What Machine Learning Predictor Performs Best for Mobility Prediction in Cellular Networks?" in IEEE ICC, 2019.

    Congratulations to Marvin and Haneya

    --Congratulations to Marvin and Haneya for securing 1st and 2nd position in 2019 OU-Tulsa ECE research meetings.

  • April, 2019

    Congratulations to Asad Zaidi

    --Congratulations to Asad Zaidi for securing summer internship at MobileComm Professionals Inc.

    Congratulations to Marvin Manalastas

    --Congratulations to Marvin for securing summer internship at MobileComm Professionals Inc.

    Congratulations to Umair Hashmi

    --Congratulations to Umair Hashmi for securing summer internship at Bell Labs HQ, New Jersey.

    Congratulations to Haneya

    --Congratulations to Haneya Qureshi for securing second position in poster competition in OU-Tulsa Research Forum.

    --Dr. Imran, to give a keynote address titled "AI for Channel Characterization and Propagation Modelling" in international workshop on “AI for MARIE: are there New Research Opportunities?”, April 16th, 2019, Duisburg, Germany.

  • March, 2019

    Congratulations to Shruti

    --Congratulations to Shruti for acceptance of the paper 'Which statistical distribution best characterizes modern cellular traffic and what factors could predict its spatio-temporal variability?,' in IEEE Communications Letters, March, 2019.

  • February, 2019

    Congratulations to Haneya

    --Congratulations to Haneya for acceptance of the paper 'Optimal bin width for autonomous coverage estimation using MDT reports in the presence of user positioning error,' in IEEE Communications Letters, February 2019.

  • December, 2018

    --Dr. Imran, to give an invited talk at RAN USA, Dec 3th .

    Congratulations to Ahmad Asghar

    --Congratulations to Ahmad Asghar for successfully defending his PhD thesis.

    Congratulations to Ahmad Asghar

    --Congratulations to Ahmad Asghar for getting job offer from Microsoft.

    IEEE Globecom conference

    --AI4Networks to present 4 conference papers in IEEE Globecom, Dubai.

    --Dr. Imran to give keynote at 12th international conference on open source system and technologies, Lahore, Pakistan.

    Congratulations to Haneya

    --Congratulations to Haneya for receiving OU-Tulsa scholarship for spring 2019 semester.

    Congratulations to Shruti

    --Congratulations to Shruti for receiving OU-Tulsa scholarship for spring 2019 semester.

    Congratulations to Haneya Qureshi

    --Congratulations to Haneya Qureshi for acceptance of the paper titled "On the Trade-offs between Coverage Radius, Altitude and Beamwidth for Practical UAV Deployments", in IEEE Transactions on Aerospace and Electronic Systems.

  • November 2018

    Congratulations to Hasan Farooq

    --Congratulations to Hasan Farooq for successfully defending his PhD thesis.

    AI4Networks Research Center Retreat

    --AI4Networks team had a fun day out at Main Event, Tulsa and then celebrated Hasan's graduation at a local restaurant. For photos, click here.

  • October, 2018

    Ahmad Asghar featured in Nokia Bell Labs podcast

    --Congrats Ahmad Asghar for being interviewed for Nokia Bell Labs podcast. Click here to listen.

  • September 2018

    Congratulations to Hasan Farooq

    --Congratulations to Hasan Farooq for being awarded the Gallogly College Dissertation Excellence Award (DEA) and a reward of 5,000$.For photos, click here.

    Congratulations to Umair Hashmi

    --Congratulations to Umair Hashmi for joining Nokia Bell Labs as a Machine Learning Wireless Coop.

    Congratulations to Ben Hughes and Shruti Bothe

    --Congratulations to Ben and Shruti for acceptance of their paper 'Generative Adversarial Learning for Machine Learning empowered Self Organizing 5G Networks' in IEEE International Conference on Computing, Networking and Communications (ICNC 2019), Hawaii, Feb. 2019.

  • August, 2018

    --Dr. Imran to give an invited talk at Summer school on “Intelligent Communications Network” hosted by LUMS, Lahore, Pakistan, Aug 6-9, 2018..

  • July 2018

    Congratulations to Umair Hashmi

    --Congratulations to Umair Hashmi for acceptance of paper titled Towards user QoE-Centric elastic cellular networks: A game theoretic framework for optimizing throughput and energy efficiency in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018.

    Congratulations to Umar Farooq

    --Congratulations to Umair for acceptance of paper titled User transmit power minimization through uplink resource allocation and user association in HetNets in IEEE Global Communications Conference: Green Communications Systems and Networks (Globecom 2018 GCSN), 2018.

    Congratulations to Haneya Qureshi

    --Congratulations to Haneya Qureshi for acceptance of paper titled Towards Designing Systems with Large Number of Antennas for Range Extension in Ground-to-Air Communications in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018.

    Congratulations to Hasan Farooq

    --Congratulations to Hasan Farooq for acceptance of paper titled Mobility Prediction based Autonomous Proactive Energy Saving (AURORA) Framework for Emerging Ultra-Dense Networks in IEEE Transactions on Green Communications and Networking, 2018.

    Congratulations to Hassan Farooq

    --Congratulations to Hassan Farooq for acceptance of paper titled Mobility Prediction empowered Proactive Energy Saving Framework for 5G Ultra-Dense HetNets in IEEE Global Communications Conference: Green Communications Systems and Networks (Globecom 2018 GCSN), 2018.

    Congratulations to Usama Masood

    --Congratulations to Usama Masood for acceptance of paper titled Deep learning based detection of sleeping cells in next generation cellular networks in IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (Globecom2018 CQRM), Abu Dhabi, United Arab Emirates, Dec. 2018.

  • June, 2018

    --Dr. Imran to deliver a keynote at a national conference on AI for wireless hosted by A1 Telecom on 25th June, 2018.

  • May, 2018

    AI4Networks Research Center at ICC 2018

    --AI4Networks Research Center attended IEEE ICC 2018 conference in Kansas city. For photos, click here.

    Congrats to Ahmad & Hassan

    --Congratulations to Ahmad Asghar and Hasan Farooq for acceptance of their paper “Concurrent Optimization of Coverage, Capacity and Load Balance in HetNets through Soft and Hard Cell Association Parameters” in IEEE Transactions on Vehicular Technology.

    Keynote at 5G North America

    --Dr. Imran to deliver a keynote at 5G North America, Austin, TX on 15th May, 2018.

  • April, 2018

    Congrats to Azar Taufique

    --Congratulations to Azar Taufique for successfully defending his PhD thesis.

    Journal Publication

    --Congratulations to Azar Taufique and Hassan Farooq for acceptance of their paper "Analytical Modelling for Mobility Signalling in Ultra-Dense HetNets" in IEEE Transactions on Vehicular Technology.

    --Dr. Imran to give keynote at T-Mobile Headquarter, Seattle, WA on 16th April, 2018.

    --Dr. Imran awarded The University of Oklahoma VPR award for outstanding international impact through research and creative work..

    Keynote at ATT

    --Dr. Imran to deliver a keynote at ATT, Silicon Valley on 17th April, 2018.

    Congrats to Haneya

    --Congratulations to Haneya Qureshi for securing first and second price in poster competition in OU-Tulsa Research Forum and IEEE Tulsa Section Poster contest respectively.

    Congrats to Azar and Asad

    --Congratulations to Azar and Asad for standing third in poster presentation in OU-Tulsa Research Forum.

    Congrats to Azar Taufique

    --Congratulations to Azar Taufique for being selected as youngest IEEE Comsoc technical instructor.

  • March, 2018

    Journal Publication

    --A journal paper on User-Centric Cloud RAN: An Analytical framework for Optimizing Area Spectral and Energy Efficiency accepted in IEEE Access.

    Congrats to Umair

    --Congratulations to Umair Hashmi for securing summer internship at Bell Labs HQ, New Jersey.

    Conference Publication

    --Congratulations to Umair Hashmi for acceptance of paper titled On the Efficiency tradeoffs in User-Centric Cloud RAN in IEEE International Conference on Communications (ICC), 2018.

    Congrats to Azar

    --Congratulations to Azar Taufique for getting job offers from Amazon, Sprint and Samsung.

    Congrats to Ahmad

    --Congratulations to Ahmad Asghar and Hasan Farooq for acceptance of their paper "Self-Healing in Emerging Cellular Networks: Review, Challenges and Research Directions" in IEEE Communication Surveys and Tutorials.

    Congrats to Azar

    --Congratulations to Azar Taufique for being hired by Amazon as Program Manager.

  • December, 2017

    Keynote at ICOSST 2017

    --Dr. Imran to give keynote at 11th international conference on open source system and technologies, Dec 18-20, Lahore, Pakistan.

    Lecture Series | ITU, 2017

    --Dr. Imran to give invited lecture series at ITU 2017, Lahore. The series is sponsored by HEC and ITU, Pakistan.

  • November, 2017

    Journal Acceptance

    --A journal paper on big data analytics based proactive energy efficiency solution accepted in Transactions on Mobile computing.

  • October, 2017

    Invited Talk

    --Dr. Imran, to give an invited talk at RAN USA, Dec 4th, Silicon Valley, USA .

  • September, 2017

    Journal Acceptance

    --A journal paper on mmWave uplink capacity and energy efficiency analysis accepted in IEEE Transaction on Vehicular Technology.

  • August, 2017

    Hasan Farooq's award at IEEE Green ICT

    --AI4Networks team member Hasan Farooq’s work won first prize in global competition for best solution to enable Green ICT held by IEEE.

    The competing received proposals proposal from 30+ countries. He received the award at IEEE Green ICT Summit held in Paris, France on 3rd October 2017.

    Research grant approved for 3-year project

    --AI4Networks Research Center receives $5,00,000 award from NSF on proactive mobility management in future multi-tier, multi-band ultra dense wireless networks.

    Paper presentation

    --Congratulations to Sinasi and Umair for acceptance of their paper in IEEE PIMRC 2017.

    Read article

    Paper presentation

    --Congratulations to Ahmad and Hasan for acceptance of their paper in IEEE PIMRC 2017.

    Read article

    Research grant approved for 2-year project

    --AI4Networks Research Center receives $10,00,000 award from NSF for developing TurboRAN

    Tutorial

    --Dr. Imran to present a tutorial titled “LEAP for IoT” at IEEE PIMRC 2017 being held in Toronto.

  • July, 2017

    Congrats to Arsalan

    --Arsalan Darbandi successfully defended his MS thesis titled “LARGE-SCALE DATA PROCESSING FOR DETECTING ACTIVITY ZONES IN MILAN”.

  • June, 2017

    Congrats to Hasan

    --Congratulations to Hasan Farooq for securing internship at Phazr.

    Congrats to Hasan

    --Congratulations to Hasan Farooq for being selected to participate in IEEE ComSoc Summer School 2014 held at University of New Mexico.

    Lecture Series | 5G Technology

    --Join us at OU-Tulsa Campus for an inspiring 5G Technology Lecture Series brought to you by AI4Networks Research Center@OU.

    More information

  • May, 2017

    Congrats to Umair

    --Congratulations to Umair Hashmi for securing second internship at AT&T Big Data Foundry, Dallas.

    Congrats to Azar

    --Congratulations to Azar Taufique for the best presentation award at the TCOM Research Meeting.

    Congrats to Hassan

    --Congratulations to Hassan Farooq for the best presentation award, and for scoring highest in the past decade at the TCOM Research Meeting.

  • April, 2017

    Workshop at ComTech-2017

    --Prof. Imran to present a tutorial titled “LEAP for IoT - Lean, Elastic, Agile and Proactive (LEAP) Wireless Networks for Enabling the Future IoT”, at the International Conference on Communications Technologies (ComTech-2017), Pakistan, 19-21 April, 2017.

    Read article

    Keynote at ComTech-2017

    --Prof. Imran to deliver a Keynote titled "Big Data Empowered Self Organizing Networks, the game changing paradigm for enabling 5G", at the International Conference on Communications Technologies (ComTech-2017), Pakistan, 19-21 April, 2017.

    Read article

    Graduate Award Luncheon 2017

    --AI4Networks Research Center's member Azar Taufique got 1st prize in two categories: Best Poster presentation and Video presentation.

  • February, 2017

    Tutorial at IEEE ICC 2017

    --Prof. Imran to present a tutorial titled “LEAP for IoT - Lean, Elastic, Agile and Proactive (LEAP) Wireless Networks for Enabling the Future IoT”, at 2017 IEEE ICC, Paris, 21-25 May, 2017.

    Read more

  • January, 2017

    Paper presentation

    --AI4Networks team members Umair and Arsalan presented a paper titled “Enabling Proactive Self-Healing by Data Mining Network Failure Logs”at ICNC 2017 Technical Program.

  • December, 2016

    Congrats to Sachin

    --Sachin Daware successfully defended his MS thesis titled “Big Data Analytics solution for Small Cell Deployment Using Machine Learning Techniques”.

  • October, 2016

    Tutorial

    Prof. Imran to present a half day tutorial titled “CDSA and BSON: The Two Key Enablers of Lean, Elastic and Proactive Wireless Networks Needed for Future IoT”, at 2016 IEEE 3rd World Forum on Internet of Things, Washington DC, 12-14 Dec, 2016.

  • July, 2016

    Research grant approved for 3-year project

    --New research support of $500K for project titled “Designing Agile and Scalable Self-Healing Functionalities for Ultra Dense Future Cellular Networks” by National Science Foundation.

    Read more

    New team

    --Four under grad and High School students joined the group as internees, as part of STEM outreach program at AI4Networks Research Center.

  • June, 2016

    Congrats to Salik

    --MD Salik Pervaiz successfully defended his MS thesis titled “Dynamic User-centric Spectral Efficiency Maximization by Optimizing Antenna Parameters”.

    Invited Talk

    --Invited talk at big data foundry AT&T Labs, Dallas.

    Research grant approved for 3-year project

    --New research support of $249K for project titled “Enabling ultra-dense future cellular networks” by National Science Foundation.

    Read more

    Journal Publication

    --New journal article “A multi-objective performance modelling framework for enabling self-optimization of cellular network topology and configurations” published.

    Read article

  • May, 2016

    Congrats to Prasad

    --Prasad Kuppurangan successfully defended his MS project titled “Small Cell Deployment for Next Generation Cellular Networks Using Control and Data Plane Separation Architecture”.

  • February, 2016

    Invited Talk

    --Invited talk at Booker T. Washington High School Tulsa, OK.

    Journal Publication

    --New journal article “Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook” published.

    Read article

  • January, 2016

    Invited Talk

    --Invited talk at RAN USA Industrial Forum, San Francisco, USA, 26-27-Jan-2016.

    Journal Publication

    --New journal article “How Reliable is MDT Based Autonomous Coverage Estimation in the Presence of User and BS Positioning Error” published.

    Read article

  • May, 2015

    Congrats to Hassan

    --Congratulations to Hassan Farooq for the best presentation award at the TCOM Research Meeting.

Director

  • Dr. Ali Imran is an Assistant Professor in Telecommunications Engineering Program at the University of Oklahoma, USA. Currently he is leading a $1.045 million multinational research project on Self Organizing Wireless Cellular Networks (Qson).
    Before joining OU in Jan-2014, since Oct-2011 he has worked as a Research Scientist at QMIC, in Qatar. QMIC is a national innovation centre in Qatar, embodying a unique initiative by the state of Qatar to carry out multidisciplinary applied research with objective to address the regional needs and enable smarter living. In this position, he led the development of a wide range of innovative solutions by conducting research mainly in the disciplines of wireless communication, software development, and sensor networks.
    Read more ...

Post-Doctoral Researchers

  • Muhammad Nabeel was born in Kuwait in 1990. He received his B.Sc. degree in Electrical Engineering with majors in Communications from the University of Engineering & Technology (Peshawar, Pakistan), M.Sc. degree in Electrical Engineering from the National University of Computer & Emerging Sciences (Islamabad, Pakistan), and Ph.D. degree in Computer Science from the Paderborn University (Paderborn, Germany) in 2011, 2013, and 2019, respectively. Since 2014, he is working as a researcher in the Distributed Embedded Systems Group (CCS Labs) at the Paderborn University. His research is mainly focused on improving the communication reliability in ultra-low power wireless networks.
    Read more ...

Post Graduate Researchers

  • Asad Zaidi
  • Usama Masood
  • Haneya Qureshi

  • Asad Zaidi

    Asad is professional Telecom Engineer with healthy industry experience on LTE/LTE-A. After working in Pakistan, South Korea and Japan as a LTE RF optimization and Self-Organizing Networks (SON) implementation consultant, he moved to University of Oklahoma to contribute in the field of research related to upcoming 5G technology. Currently he is working on mobility optimization for futuristic UDMN (Ultra-Dense, Multi-Tier, multi-Band cellular Network). He is an amateur photographer with an extreme passion for this art. Check it out!

  • Usama Masood

    Usama Masood is currently doing his PhD in Electrical & Computer Engineering as a Graduate Research Assistant from The University of Oklahoma. He has a demonstrated history in the higher education industry as a Lecturer, Researcher and Developer in multiple institutions. His areas of research and interest include designing Big Data Driven solutions for Future Self Organizing Networks by fusing the domain “jargon” with artificial intelligence. He believes his contributions will be instrumental towards shaping the Fourth Industrial Revolution.

  • Haneya Qureshi

    Right after completing her BS Electrical Engineering in 2016 from LUMS, Pakistan, Haneya joined the AI4Networks Center at the University of Oklahoma as a graduate research assistant. She received her M.S degree in Electrical and Computer Engineering from the University of Oklahoma, USA in 2017. She is contributing to several NSF-funded projects. Her current research interests include network automation and using a combination of machine learning and analytics for the design, optimization and operation of future cellular systems. She has also been engaged in system design of Unmanned Aerial Vehicles deployment (as part of her MS Thesis), channel estimation and pilot contamination problem in Massive MIMO TDD systems.
    Read more ...

  • Asad Zaidi
  • Usama Masood
  • Haneya Qureshi
  • Aneeqa Ijaz
  • Muhammad Umar Bin Farooq

  • Sabogu-Sumah Raymond was born in Ghana. He received the B.Sc. degree in Telecommunications Engineering (with Hons.) from the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, in 2013 and the master’s degree in Electronic Engineering (with Distinction) from Hanbat National University, Daejeon, South Korea. He is currently pursuing his PHD in Electrical and Computer Engineering at the University of Oklahoma-Tulsa  with research interests in self-healing networks and Internet of Things through terrestrial and Aerial platforms.
    Read more ...

  • Aneeqa Ijaz

    Aneeqa, a Fulbright scholarship recipient, is pursuing her Ph.D. in Electrical and Computer Engineering at the University of Oklahoma, USA. She received her master’s degree in Telecommunications and Computer Networking from the National University of Sciences and Technology, Pakistan. Before joining OU in Aug-2019, she has worked as a Research Associate in Wireless Solutions Lab. In this position, she researched on innovative solutions in the disciplines of wireless communication. Currently, she is working on mobility optimization for Ultra-Dense cellular networks and Machine Learning solutions in the context of self-organizing networks (SON) for enabling 5G. Her research interests encompass wireless networks, telecommunication, digital signal processing, stochastic geometry, visible light communication security, big data and machine learning. She believes that there is no royal road to mastery and success, one must acquire the skill of persistence, mindfulness and focus. Apart from research, her other interests include painting, travelling, movies and exploring the nature.

  • Muhammad Umar Bin Farooq

    Umar did his bachelors in electrical engineering from Lahore University of Management Sciences (LUMS), Pakistan with National Outreach Program Scholarship. He did his Masters in computer science from Information Technology University (ITU) Pakistan. He worked on research and teaching positions in LUMS, ITU and university of central Punjab (UCP). Umar is now a Fulbright scholar and a PhD candidate at BSON lab, University of Oklahoma. He is working on different aspects of 5G more specifically Cloud RAN, user centric cellular networks, applications of machine learning in cellular networks, energy and spectral efficiency tradeoff in cellular networks.
  • Aneeqa Ijaz
  • Muhammad Umar Bin Farooq
  • Waseem Raza
  • Muhammad Sajid Riaz
  • John Charles

  • Waseem Raza

    Waseem is currently doing my PhD in Electrical and Comupter Engineering and working as Graduate Research Assistant in AI4Networks lab at Oklahoma University USA. Previously I have been working as a Lecturer in Department of Technology, The University of Lahore, Lahore, Pakistan. Previously, I have been working as a Research Associate in COMSATS Institute of Information Technology, Islamabad, Pakistan from June 2016 to December 2017.

  • Muhammad Sajid Riaz

    Sajid is a PhD student at University of Oklahoma majoring in Electrical & Computer Engineering. Working as a Graduate Research Assistant at AI4Networks Research Center, University of Oklahoma. Sajid has good blend of Industry and Academia experience as a Lecturer of computer programming courses. Experienced Software Engineer with a demonstrated history of working in the Software Development and services industry. Skilled in Javascript, PHP, XHTML, Java, HTML, and Web Applications. Strong engineering professional with a MS focused in Computer Science from Lahore University of Management Sciences (LUMS). His research interests are to APPLY AI and Machine Learning along with software simulation and development skills to produce something that can help cellular networks industry. Sajid is a very passionate Sportsman and fitness enthusiast.

  • John Charles

    Hello, I am Charles. I have finished my undergrad in Electronics and Communication Engineering from Anurag Engineering College, India. Worked with Keolis Hyderabad MRTS as a loco pilot for 10 months and then resigned to pursue my Masters with interests towards Big Data and 5G technologies. Looking forward to work with Dr. Imran and learn the technology. Apart from that, I love to learn different musical instruments and languages.
  • Waseem Raza
  • Muhammad Sajid Riaz
  • John Charles
  • Marvin Manalastas
  • Joel Shodamola
  • Tahir Mahmood

  • Marvin Manalastas

    Marvin is currently taking up MS in Electrical and Computer Engineering at the University of Oklahoma-Tulsa. He finished his undergrad in Electronics and Communications Engineering at the Polytechnic University of the Philippines and worked as a Microwave Transmission Engineer in Huawei Technologies Philippines from 2011-2015. He then moved to Tokyo Japan to work as a Radio Network Performance Engineer focused on LTE improvement and optimization of key locations all over Japan like bullet trains, major train stations, highways and indoor stadium and arenas. Although he is already an industry-experienced Engineer in the field of telecommunications, he decided to pursue a higher degree to advance his knowledge and delved deeply on 5G self-organizing networks.

  • Joel Shodamola

    Joel finished his undergraduate studies in Electrical and Electronics Engineering at the Federal University of Technology, Akure. After which he proceeded to work for three industries. The last one was for Globacom Nig Ltd(one of the largest telecommunication company in West Africa) as a Data communications Network Engineer. He is currently pursuing his masters in Telecommunications Engineering at the University of Oklahoma, Tulsa in the AI4Networks Lab. His interest is in Machine Learning/Artificial Intelligence for Cellular Networks

  • Tahir Mahmood

    https://www.linkedin.com/in/tahir-janjua-13707a125/
  • Marvin Manalastas
  • Joel Shodamola
  • Tahir Mahmood

IRES Participants

  • Hi, I am Azar Taufique and I help people that want to learn 4G LTE understand where to start, what is important to learn and how to be able to make the big picture and all the puzzles fit together.
    Read more ...

  • Morghan Hartmann
  • Amann Islam

Undergraduate / High School Interns

Alumni

  • 1
  • Shruti Bothe

  • Salik, a Nepalese by nationality, is a fan of global diversity. He possesses strong cross-cultural experience of visiting and staying in various countries on the course of his academic and professional pursuit. He received his Bachelors and Masters from Pakistan and Japan respectively before spending two years (2014-2016) at University of Oklahoma (OU) USA. During his stay at OU, he worked on the QSON project (Quality of Service Aware Self Organizing Network) in the domain of 'Big Data' and 'Caching' for cellular network.
    Read more ...

  • Sinasi is a master student in the department of Telecommunication Engineering at University of Oklahoma. He graduated from the Ondokuz Mayis University in Turkey as a top student with honor degree. He has a scholarship from the Ministry of Education (in Turkey) to pursue his master and phd in the area of Telecommunication in USA. At the same time, he is a research assistant at the Karamanoglu Mehmetbey University in Turkey. He is currently studying on optimal user cell association on Massive MIMO systems. Based on this area, he is developing a MATLAB based system level simulator for HetNet.
    Read more ...

  • Mr. Kuppurangan has a Master’s Degree in Telecommunication Engineering. He is proficient in RF/Wireless Design, Analysis, Optimization and Enhancement. His responsibilities include leading the work of GSS partner wireless design engineers, overseeing frequency specifications, accuracy checks, solution analysis and access point/cell site deployment. This also includes link budget analysis, system dimensioning for coverage and capacity, traffic analysis, site identification, zoning support frequency planning, interference investigation and optimization support. Prasad’s work focuses on Wi-Fi, Small Cell and LTE/CDMA projects.
    Read more ...


  • Read more ...

  • Hi, I am Azar Taufique and I help people that want to learn 4G LTE understand where to start, what is important to learn and how to be able to make the big picture and all the puzzles fit together.
    Read more ...

  • Arsalan is a second year master student, studying Electrical and Computer Engineering at University of Oklahoma. He got a B. S. degree in Computer Science from Iran.He is interested in research in areas of Machine Learning and Data mining and programming and analyzing data using C++ and Python languages.
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  • Christella Chavez

  • Hasan is a wireless communications researcher by profession, university faculty member by inclination, gadgets maniac and no-holds-barred technology enthusiast who was ushered into the AI world since his first interaction with Atari BASIC. His PhD research area was Big Data empowered Proactive Self-Organizing Networks focusing on Intelligent Proactive Self-Healing in HetNets utilizing dexterous combination of machine learning tools, classical optimization techniques, stochastic analysis and Data Analytics. Under unified umbrella of Self-Healing, his research investigates Joint Load Balancing and Capacity & Coverage Optimization (LB-CCO) and utilizing Mobility, Failures and Performance Degradation Prediction for Proactive SON Use Cases. Apart from research, his other interests include cricket, movies, eating out and camping. Oh, and he has a hard time not buying all the overpriced gadget deals posted online.
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  • He is a professional RF Engineer with research interests in machine learning, self-organizing networks and development of smart network optimization solutions. He has worked on multiple 3GPP standard based telecommunication networks operating on GSM, UMTS and LTE technologies. He has developed multiple algorithms, including ad-hoc frequency planning and CCO & Load Balancing algorithms, to optimize the performance of telecommunication networks which are currently in use at network operator level or under consideration at vendor level.
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    Umair Hashmi is a Fulbright Scholar pursuing PhD degree in Electrical and Computer Engineering as a Graduate Research Assistance in BSON Lab @OU since Fall 2015 under supervision of Dr. Ali Imran. His research focus at BSONLab@OU is on different aspects of 5th Generation wireless communication technologies such as Cloud RANs, user-centric architectures, game theoretic efficiency tradeoff in dense networks, application of machine learning and big data techniques in SON, mmWave networks and massive MIMO deployment architectures. Umair has authored or coauthored at least five technical papers in IEEE conferences. Umair is actively involved in students' activities at OU. He was nominated as the Vice President of the International Students' Association at OU-Tulsa in the 2015-16 academic year. While studying at OU, he has also served as a Big Data Intern at AT&T and student analyst at the Center for the Creation of Economic Wealth. In his free time, Umair likes to catch up on cricket and running around with his 2 year old son.
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  • Shruti Bothe

    Shruti Bothe is currently pursuing her Masters in Telecommunication Engineering at University of Oklahoma-Tulsa .After completing her Undergrad in 2015 from University of Pune, she worked for Nokia Siemens Networks (under Vodafone India) and Avaya India. With interests in wireless networks, she plans to do her research in Self healing networks under the guidance of Dr.Imran.
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  • Shruti Bothe

Visiting Researchers

Outreach

In its effort to promote STEM education in youth and to serve the local community, AI4networks Research Center recruits outstanding local high school students as interns for a 4 to 12-week internship every year. Interns are assigned short research projects designed to suit interns’ interest and skill level. In addition to being closely guided by Prof. Ali Imran, on day to day basis each intern works closely with at least one senior Ph.D. researcher in AI4Networks Research Center, who mentors the intern throughout his/her tenure at the AI4Networks Research Center. Such close interaction with some of the smartest people working on the topic of internship project facilitates quick learning and successful completion of the project. The whole internship experience is closely supervised by AI4Networks director Prof. Ali Imran. The aim of this outreach program is to expose students to STEM career pathways in general and telecommunications engineering and its applications, and future prospects in real life in particular. The projects are designed to inspire interest within the participants for exploring and pursuing STEM careers and research in their future professional life. In spite of its short duration, this exciting opportunity is bound to provide interns a lot of valuable and rich exposure to future of wireless communications, while working in a multicultural environment that features international and national industrial and academic collaborations.

2016 session Interns:

  • Fares Hejjo Alrefai
    Booker T. Washington High School, Selected at the University of Tulsa.
  • Rhea Hanks
    Booker T. Washington High School, Selected at the University of Oklahoma.
  • Hsinhui Li
    Booker T. Washington High School, Selected at Rice University.
  • Yash Kumar
    Booker T. Washington High School.

If you are a high school or undergraduate student with the strong academic track record in math, physics, or computer science, and this opportunity sounds interesting to you then send your resume to AI4Networks Research Center director Dr. Ali Imran at ali dot imran at ou.edu with subject title “AI4Networks Research Center internships".

Sponsors / Collaborators

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4502 East 41st Street Building 4, Tulsa, OK 74135

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