Ph.D. in Computer Science with extensive experience in data mining, predictive modeling
My research focuses on the development of machine learning/data mining approaches for the environmental impact assessment of engineered nanomaterials (ENMs). I have developed a decision support framework as an online tool that consists of
Visualization (d3.js), HTML, PHP, NodeJS, knockout.js, angularJS, Bootstrap
OpenCV computer vision, real-time object detection and recognition, 3D modeling and geometric object detection, Deep Neural Networks (DNNs), Bayesian Networks, Self-Organizing Maps (SOM), Hierarchical Clustering, Regression/Classification, SVMs, Decision Trees (Random Forests), Association Rule Mining
NoSQL (MongoDB), MySQL, PostgreSQL, JDBC, Apache, Tomcat, DHCP, DNS
Rocks cluster, Sun Grid Engine, Ganglia
Center for Environmental Implications of Nanotechnology (CEIN)
University of California, Los Angeles
School of Computing
University of Leeds, United Kingdom
British Broadcasting Corporation (BBC), London, United Kingdom
University of Bradford, Bradford, United Kingdom
University of Bradford, Bradford, United Kingdom
A data-driven modeling platform based on Bayesian network (BN) was developed for qualitatively and quantitatively assessing the potential environmental impact of ENMs. BN structure was designed based on domain knowledge of toxicological and transport behaviors of ENMs, relating their physicochemical properties, environmental distribution, exposure concentration, and relevant hazard (or toxicity) information. The conditional probability tables for the BN was populated using data from experimental and computational modeling results of ENM toxicity and exposure levels. The modeling platform was deployed as a web application via
An integrated online toolkit (
A generalized web-based modeling platform of the life cycle environmental assessment for the release of ENMs (
A BN model was developed to enable rapid assessment of the environmental multimedia mass distribution of ENMs utilizing mechanistic models for the estimation of emissions and multimedia environmental distribution of ENMs. The simulation data was generated using
A meta-analysis was conducted for the assembly and generalization of ENMs impact on zebrafish and understanding relationships between ENMs properties and Embryonic Zebrafish (EZ) toxicity. Using 7 different types of ENMs (metal, metal oxide, cellulose, dendrimer, carbon, semiconductor, polymeric) as a model system, 1,147 samples from the
(Model Solver: Netica, R, MATLAB)
An approach for automated creation of revised maps of buried underground utilities was developed by integrating the knowledge extracted from sensors raw data and available statutory records. The combination of statutory records with the hypotheses from sensors was for initial estimation of what might be found underground and roughly where. Data fusion techniques were applied to integrate information from multiple sources followed by Bayesian model development for 2D/3D map (re)construction. The maps were (re)constructed using automated image segmentation techniques for hypotheses extraction and Bayesian classification techniques for segment-manhole connections. The project was funded by Mapping the Underworld (MTU) which is a major initiative in the UK, focused on addressing social, environmental and economic consequences raised from the inability to locate buried underground utilities (such as pipes and cables) by developing multi-sensor mobile device.
(Model Solver: MATLAB)
A game theoretic approach was applied for safer driving using efficient route selection for vehicles especially Emergency Vehicles (EV). A probabilistic route selection mechanism was designed by conditioning on density,
(Model Solver: Network Simulator, NCTUns (C++))
(Model Solver: NetBeans (Java))
University of Bradford, United Kingdom
School of Electrical Engineering and Computer Science (Networks and Performance Engineering)
Dissertation: Game Theoretic Coalitional Routing in Cooperative Vehicular Ad hoc Networks
University of California, Los Angeles
ESMT course helped our team build a business plan to commercialize the platform.
Center for Educational Development, University of Bradford, United Kingdom
I attended PGCHEP course to become accredited member of high education commission in the United Kingdom during my role as lecturer at the University of Bradford.
Birmingham City University, Birmingham, United Kingdom
University of Punjab, Pakistan
E. Oh, R. Liu, A. Nel, K.
Liu R., Rallo R., Bilal, M., Cohen Y. Quantitative structure-activity relationships for cellular uptake of surface-modified nanoparticles. Combinatorial Chemistry & High Throughput Screening 2015, 18(4): 365-375.
Romero, M., Godwin, H., Bilal, M., Cohen, Y. Needs and Challenges for Assessing the Environmental Impacts of Engineered Nanomaterials (ENMs), Beilstein J. Nanotechnol. 2017, 8, 989–1014.
Bilal, M. Khan, W., Muggleton, J., Rustighi, E., Jenks, H., Pennock, S.R., Atkins, P.R., & Cohn, A. Inferring the most probable maps of buried underground utilities using Bayesian mapping model. (2018) Journal of Applied Geophysics,
Yoram Cohen, Muhammad Bilal, and Haoyang Liu. Comment on “Assessing the Risk of Engineered Nanomaterials in the Environment: Development and Application of the nanoFate Model” (2018) Environ. Sci. Technol. DOI: 10.1021/acs.est.8b00486.
Kari J. Moses-Varin, Muhammad Bilal, Soomin Kim and Yoram Cohen Tethered Hydrophilic Polymers Layers on a Polyamide Surface (2018) Journal of Applied Polymer Science, (submitted)
Bilal, M., Church, P., Liu R., Liu H., & Cohen, Y. NanoDatabank: A Flexible Database Management System for Nanomaterials (Ready for submission).
Liu, H. H., Bilal, M., Lazareva, A., Keller, A., & Cohen, Y., Simulation Tool for Assessing the Releases and Environmental Distribution of Nanomaterials. Beilstein Journal of Nanotechnology. 2015, 6, 938–951.
Khan, W., Darren, A., Kuru, K. & Bilal, M. The Flight Guardian: Autonomous Flight Safety Improvement by Monitoring Aircraft Cockpit Instruments
Wasiq Khan, Keeley Crockett, Muhammad Bilal Adaptive framing based similarity measurement between time warped speech signals using Kalman filter. (2018) International Journal of Speech Technology. Vol. 21. pp. 1-12
Bilal, M., Khan, W., & Pauline, C. Cooperative Network for Emergency Communications: Fair Distribution of Reward among Players based on their Marginal Contribution., Cyberjournals, (2016).
Khan, W., Bilal, M., Chan, P. & Jiang, P. A creative application of wavelet transform and
Liu, H. H., Bilal, M., Lazareva, A., Keller, A., Cohen, Y., Regional multimedia distribution of nanomaterials and associated exposures: A software platform. 2014 IEEE International Conference on Bioinformatics and Biomedicine. 2014, 10.
Bilal, M., Awan, I. & Mockford, S. A Unique Global Mobile Network Service Tracker and
Bilal, M., Yar, A., Mockford, S., Khan, W. & Awan, I. Tracesaver: A Tool for Network Service Improvement and Personalized Analysis of User Centric Statistics. AIP Conf. Proc. 1499, 215, 2012.
Bilal, M., Hussain, M. O., & Chan, P. A Reception Based Node Selection Protocol for Multi-hop Routing in Vehicular Ad-hoc Networks. 11th International Conference on Trust, Security
Bilal, M., Chan, P., Meddings, F., & Konstadopoulo, A. Learner Centred E-Assessment with a Universal Marking Scheme. 3rd International Conference of Teaching and Learning (ICTL), 2011.
Bilal, M., & Chan, P. Student Coursework Repository (SCORE): The hub for online assessment and learner support repository. Bradford LTA Conference, 2011.
Bilal, M., & Chan, P. A Coalitional Incentive Scheme based on Game Theory for Multi-hop Routing in Vehicular Ad hoc Networks. IEEE 6th international Conference on frontier computer science and technology (FCST) 2011.
Bilal, M., Chan, P. & Pillai, P. A fastest multi-hop routing scheme for information dissemination in Vehicular Communication systems. International
Bilal, M., Chan, P. & Pillai, P. Fastest-Vehicle Multi-hop Routing in Vehicular Ad hoc Networks. 10th International
Evans, C., & Bilal, M
Development of a Framework for Environmental Impact Assessment of Engineered Nanomaterials (ENMs). Gordon Research Conference, June 21-26, 2015,
Probabilistic Assessment of the Potential Environmental Impact of Engineered Nanomaterials. Nanoinformatics Workshop, Jan 26-28, 2015, Arlington, VA.
Nanoinfo.org: An integrated Nanoinformatics Web Portal Nanoinformatics Workshop, Jan. 28, 2015, Arlington, VA
Nanoinformatics platform for assessing the potential environmental distribution and exposure levels of engineered nanomaterials (ENMs) American Chemical Society National Meeting, Aug. 11, 2014, San Francisco, CA
Nanoinformatics Platform for Environmental Impact Assessment of Nanomaterials UCLA Tech Forum, 2014, Los Angeles, CA.
Regional multimedia distribution of nanomaterials and associated exposures: A software platform IEEE International Conference on Bioinformatics and Biomedicine, Nov. 2, 2014, Belfast, UK
A Reception Based Node Selection Protocol for Multi-hop Routing in Vehicular Ad-hoc Networks. International
A Fastest-Vehicle Multi-Hop Routing in Vehicular Ad hoc Networks. IEEE International Conference on Computer &
© 2018 Muhammad Bilal