CV

Professional Summary:

Accomplished AI Innovation Director, Senior Research Fellow, AI Consultant, and AI Solutions Architect with a Ph.D. in applied machine learning. Proven expertise in delivering innovative AI solutions across diverse sectors, including property market, legal practice, space weather, healthcare, and energy management. Skilled in Python, deep learning, computer vision, and NLP, with a focus on Microsoft Azure services. Known for crafting tailored AI strategies that drive transformative outcomes. Experienced in solving complex problems and deploying solutions on both Azure and on-premises platforms. Strong track record in building advanced AI strategies to meet industry-specific needs, leveraging cutting-edge technologies and analytical insights.

Technical Expertise:

Machine Learning: deep learning, computer vision, NLP, and data analysis.
Microsoft Azure: ML, AutoML, Cognitive Services, OpenAI, storage, App service and DevOps.
Generative AI Solutions Architect (Large Language Models): Building chatbots trained on enterprise data using open-sourced LLMs (Hugging Face) or OpenAI’s GPT models (Azure OpenAI).
On-premises Deployment: IIS hosted AI apps with asynchronous task execution, Python WSGI application server, Flask API apps, RabbitMQ message broker, Celery asynchronous workers, Celery flower, database integration, and SQL consumers pushing JSON/XML responses.
Programming/scripting: Python, Java, MATLAB, C#, and SQL.
Extra: Streamlit app framework, Docker containers, Git, integration, and web development.

Soft Skills:

Proficient in Lean Six Sigma methodologies, project management, AI strategies, operational ecosystem analysis and leadership.
Engagement and Education Sessions: Conducted targeted sessions with colleagues and clients, delving into their operational challenges and areas of expertise. Guided interactive discussions to comprehend unique needs and potential applications of AI technologies. Led educational workshops, providing in-depth insights into AI capabilities, and identifying strategic opportunities for integration. Collaborated closely with diverse teams, translating insights from these sessions into tailored AI solutions, effectively bridging the gap between technical expertise and operational demands.
Proven Leadership: Successfully served as the Dean of Engineering, managing a diverse team of 270 staff members. Demonstrated exceptional leadership skills in overseeing academic and administrative functions, fostering a collaborative environment, and driving continuous improvement initiatives. Led strategic planning efforts, ensuring alignment with the university’s mission and vision.
Strong analytical and problem-solving skills with a critical and creative mindset.
Excellent communication and interpersonal skills for effective teamwork and stakeholder relationships.

Education

Executive Course, Digital Transformation Strategy, Imperial College Business School, the executive education programme at the Imperial College Business School, Imperial College London, UK, 2021.”
PhD, Machine Learning (Big Data, Space Weather and Image Processing), University of Bradford, Bradford, UK, 2009. Thesis Title: “Engineering System design for Automated Space Weather forecast.” Thesis Sub-Title: “Designing automatic software systems for the large-scale analysis of solar data, knowledge extraction and the prediction of solar activities using machine learning techniques.”
MS, Electrical Engineering (Communications and Electronics), Jordan University of Science and Technology (JUST), Jordan, 2006. Thesis Title: “Digital Down Converter Using Non-Sinusoidal Local Oscillator.”
BS, Electrical Engineering (Communications and Electronics), Jordan University of Science and Technology (JUST), Jordan, 2005.
High School: AlManara Secondary School for Boys, Irbid, Jordan, July 2000, the high school academic final national examination (Tawjihi) with the grade of 91.4%.

Certifications and Significant Training

Microsoft Azure AI Engineer Associate (Ongoing Training).
Certified Deep Learning Engineer (AWS): Completed a deep learning Nanodegree program by Udacity.
Lean Six Sigma Green Belt: Certified Green Belt from Cardiff University, UK (Mar-Sep 2022).
Lean Six Sigma Yellow Belt: Certified LCS:1a from Lean Competency System, Cardiff University, UK (Dec 2021).
Management and Leadership Training: Completed comprehensive training at Jaguar Land Rover’s Ashorne Hill Management College, Royal Leamington Spa, UK. Covered topics including Working in Teams, Project Management, Conflict Management, Influencing Skills, Communication Skills, Managing Resources, Leadership, Motivating Others, Health and Safety, Time Management, Business Environment, Business Strategy, Marketing, Financial Concepts, Capital & Budgeting, Analysis of Accounts, and Business Simulation.
Online Training Courses: Completed courses in Natural Language Processing with Python and NLP with Deep Learning in Python.
A Science Entrepreneur Experience training at the University of Liverpool, UK.

Industry, Academic and Research Experience

(Mar 2024 – Now): Pre-Sales Innovation Director, Landmark Information Group, Imperium, Imperial Way, Reading RG2 0TD, United Kingdom.
(Jun 2021 – Mar 2024): Senior Artificial Intelligence Consultant, Simplify Ltd, Leicester, United Kingdom.
(Jun 2021 – June 2024): Senior Research Fellow, Computer Science Department, School of Electrical Engineering, Electronics and Computer Science, University of Liverpool, Liverpool, United Kingdom.
(Jun 2018 – Jun 2021): Senior KTP Associate, Computer Science Department, School of Electrical Engineering, Electronics and Computer Science, University of Liverpool, Liverpool, United Kingdom.
(Jun 2018 – Jun 2021): AI & ML Specialist, My Home Move Ltd (Now Simplify Ltd), Leicester, UK.
(Dec 2017 – Jun 2018): Visiting Research Fellow, School of Electrical Engineering, Electronics and Computer Science, University of Liverpool, Liverpool, United Kingdom.
(Sep 2015 – Sep 2017): Dean, Faculty of Engineering, Applied Science Private University, Amman, Jordan.
(Oct 2014 – Sep 2018): Associate Professor of Electrical & Computer Engineering, Electrical Engineering Department, Applied Science Private University, Amman, Jordan.
(Jun-Aug 2014): Visiting Research Fellow, School of Engineering and Informatics, University of Bradford, Bradford, United Kingdom.
(Oct 2014 – Aug 2015): [Part-Time] Associate Professor, Architecture Department, University of Petra, Amman, Jordan.
(Oct 2012 – Oct 2014): Assistant Professor of Electrical & Computer Engineering, Electrical and Computer Engineering Department, Applied Science Private University, Amman, Jordan.
(Sep. 2011 – Oct. 2012): Head, Computer Science Department, Applied Science Private University, Amman, Jordan.
(Feb. 2010 – Oct. 2012): Assistant Professor, Computer Science Dept., Applied Science Private University, Amman, Jordan.
(2009): Teaching Assistant, Computer Programming Lab (Java), University of Bradford, UK.
(2005-2006): Teaching Assistant, Electronic Circuits Lab, Jordan University of Science and Technology, Jordan.

Significant Recent Funded Projects

(Jun 2018 – Jun 2021) A Knowledge Transfer Partnership (KTP) project: “The MyHomeMove Project” (KTP010950). Amount awarded: 350,674 GBP. I am the project manager (KTP Associate) for this project, collaborating with MyHomeMove. Prof. Yannis Goulermas is principal investigator and the school dean Prof. Katie Atkinson is the academic lead. On the project we are introducing and embeding artificial intelligence, data mining and machine learning capabilities into the company to enable it to achieve transformational business service opportunities with increased speed, accuracy and productivity and at lower cost.
(Sep 2013 - Sep 2014) a project funded by the European Space Agency (ESA): “Solar Events Prediction System for Space Launch Risk Estimation”. In Collaboration with the Technical University of Catalonia (Spain) and the University of Malaga (Spain), 100K Euros, University of Bradford, Bradford, United Kingdom
(Dec 2013 – Mar 2014): A project funded by Applied Science Private University, “Brain as a Computer Remote Control: Translation of Imagined Fists and Feet Movements into Computer Commands using Wavelet Transform Analysis and Machine Learning”.
(Apr. 2013 - Apr. 2014): A project with NWRA (Boulder, CO, USA) funded by NASA/LWS contract NNH09CE72C (Dr. Graham Barnes, PI) and NASA/GI contract NNH12CG10C (Dr. KD Leka, PI), “The Second NWRA Flare-Forecasting Comparison Workshop: Preliminary Results”.
(Mar 2013 – Apr 2013): A project funded by Applied Science Private University, “Reading Minds: A Practical Classification of L/R Hand Movements using Advanced Feature Extraction and Machine Learning”.

International Research Activities

(Jun-Aug 2014): Visiting Research Fellow, School of Engineering and Informatics, University of Bradford, Bradford, United Kingdom.
(Apr. 2013): Attended the Second NWRA Flare-Forecasting Comparison Workshop: Preliminary Results (Funded by NASA, USA), Apr. 2013, Boulder, CO, USA.
(Feb. 2013): Honorary Visiting Research Assistant, Space Weather Research, Centre for Visual Computing (CVC), University of Bradford, Bradford, United Kingdom.
(Sep. 2009 - Now): Team Associate, Space Weather Research, Centre for Visual Computing (CVC), University of Bradford, Bradford, United Kingdom. More info…
(Sep. 2011): Honorary Visiting Research Assistant, University of Bradford, Bradford, United Kingdom.
(Jul-Aug 2009): Short course at the CISM summer school in Space Weather by the Center for Integrated Space Weather Modeling, Boston MA, USA.

Work Experience and Activities

(Sep 2015 – Sep 2017): Director, Renewable Energy Center, Applied Science Private University, Amman, Jordan. Managed the center employees to execute maintenance works for the installed solar PV systems (Fixed Poly-crystalline, Mono-crystalline, and Thin film panels and CPV and Polycrystalline Trackers) and the weather station and to carry out the required arrangements and support for research projects in the field of renewable energy and sustainability. More info…
(Sep 2015 – Sep 2017): Director, Engineering Workshops, Applied Science Private University, Amman, Jordan. Managed workshop employees to execute repair works and production projects. The duty included intensive management for the time, cost and quality objectives of work activities within the university.
Member of the Accreditation Committees, Accreditation and Quality Assurance Commission for Higher Education Institutions, Amman, Jordan, 2017.
(Sep 2014 – Sep 2015): Member of the Faculty Council, Representative for the Electrical & Computer Engineering department, Faculty of Engineering, Applied Science Private University, Amman, Jordan.
Member, ASU Website Committee, 2014, Applied Science Private University, Amman, Jordan.
Head, Follow-Up and Web Committee, 2013-2014, Faculty of Engineering, Applied Science Private University, Amman, Jordan.
Member, Graduation Projects Committee, 2013-2014, Electrical and Computer Engineering Department, Applied Science Private University, Amman, Jordan.
(Oct. 2012 – Oct. 2013): Head of the University’s International Relations, Rapporteur of the University’s External Relations and Agreements Committee, Applied Science Private University, Amman, Jordan.
(2012): Member of the Founding Committee of a new Master Program in Computer Science in the Faculty of Information Technology, Applied Science Private University, Amman, Jordan.
(Jan. & May 2012): Organizing committee, Graduation Projects Contest, Faculty of Information Technology, Applied Science Private University, Amman, Jordan.
(Sep. 2011 – Oct. 2012): Head, Graduation Projects Committee, Faculty of Information Technology, Applied Science Private University, Amman, Jordan.
(2011): Microsoft Academic Partner, Applied Science Private University, Amman, Jordan.
(2010): Microsoft .Net Club Advisor, Applied Science Private University, Amman, Jordan.
Member of the Faculty Council, Representative for the Computer Science department, 2010, Faculty of Information Technology, Applied Science Private University, Amman, Jordan.
Head, External Relations and Web committee, 2010, Faculty of Information Technology, Applied Science Private University, Amman, Jordan.
Member of the Exams Committee, 2010, Faculty of Information Technology, Applied Science Private University, Amman, Jordan.
Registered Engineer, Electrical Engineering, Jordan Engineers Association, Amman, Jordan.

Significant Activities as a Research Fellow, University of Liverpool, UK

Working on a Business Gateway Project as a collaboration with Robotik Technology UK. Project title: “A Machine Learning Based Verification Model for the Automated Production Process of Multicompartmental Compliance Aids”.
Accomplished the required Python programming developments for an industry partnership project titled “Software for the analysis and measurement of key eye geometry metrics: Facial Image Analysis Software”.
Co-supervising a PhD student: Ola Younis. Supervisors: Dr. Waleed Al-Nuaimy (School of Electrical Engineering, Electronics and Computer Science, University of Liverpool, UK), and Prof. Fiona Rowe (Institute of Psychology Health and Society, University of Liverpool, UK). Project title: “A Hazard Detection and Tracking Assistive Technology for Peripheral Vision Loss People”.
Handling huge machine learning experiments within the project “Real-Time Solar Photovoltaic Power Forecasting”.
A conference paper: “Real-time Wearable Moving Camera Motion Detection Using Optical Flow to be used in Healthcare Systems”, 2018 IEEE World Congress on Computational Intelligence, Windsor Convention Centre, Rio de Janeiro, BRAZIL, July 2018.
A journal paper: “A Hazard Detection and Tracking System for Vision Impaired People with Non-Stationary Camera Motion Compensation”, The Visual Computer, International Journal of Computer Graphics, Springer.

Significant Services as a Dean of Engineering (Sep 2015 – Sep 2017)

Managing the committee that is responsible for ABET material preparation and writing of self-study reports for ABET accreditation. Programs: Electrical Engineering (EE), Power & Control Engineering (PE), Civil Engineering (CE), Mechanical Engineering (ME), and Industrial Engineering (IE). All programs were accredited since Oct 2017 until 2024.
Updating all study plans for Engineering programs: Communications and Electronics Engineering, Computer Engineering, Power & Control Engineering, Civil Engineering, Mechanical Engineering, and Industrial Engineering, and Architecture.
(Sep 2017) Establishment of the Engineering Unit at Applied Science Private University covering four departments: The Project Management, General Maintenance, Engineering Workshops, and Agriculture.
Preparing the development plan of the Renewable Energy Center to become the “Center for Energy, Water, and Sustainability” and extending its services to help students, faculty, and the community by providing the required training, research environment, and technical advice.
Extending the Engineering Workshops and the setup of a new furniture & materials production line to provide vast range of products for the university and the local community.
Handling the process of MOUs negotiation and development between Applied Science Private University and the University of Liverpool, University of Bradford, Coventry University, Anglia Ruskin University, University of the West of England, and Kingston University.
Managing the PhD Scholarships Program at the faculty of Engineering, Applied Science Private University and finalizing the paperwork required for 13 PhD students in many universities in USA, UK, Canada, and Australia.
Handling the preparations for a joint MSc program with the University of Liverpool, UK.

International Technical Activities

(May - Oct 2012) Program Chair, the 5th International Conference on Computer Science and Information Technology (CSIT2013), 27-28 Mar. 2012, Amman, Jordan.
Reviewer for the book “Applied Signal and Image Processing: Multidisciplinary Advancements,” R. Qahwaji, R. Green and H. Evor (eds.), IGI Global, 2011. 1-414. Web. 27 Sep. 2011. doi:10.4018/978-1-60960-477-6, ISBN: 9781609604776.
Chair of the Computer Vision and Applications (CVA) track of the 2nd International Conference on Computer Science and Engineering - MIC-Computing 2014, Milan, Italy, 22-24 August 2014.
TPC Member for the 2nd International Conference on Computer Science and Engineering - MIC-Computing 2014, Milan, Italy, 22-24 August 2014.
TPC Member for the 3rd International Conference on Computing and Artificial Intelligence MIC-CAI2013, 5-7 April 2013, Belgrade, Serbia.
TPC Member for the 6th International Conference on Communications, Networking and Information Technology MIC-CNIT2012, 21-23 Dec. 2012, Nicosia, Cyprus.
TPC Member for the 5th International Conference on Communications, Networking and Information Technology MIC-CNIT2011, 16-18 December 2011, Dubai, UAE.

Scholarships, Honors and Awards

The Award of “Best Researcher at the University Level for Scientific Faculties 2013/2014”, Applied Science Private University, Amman, Jordan, April, 2014.
Full PhD Scholarship, Applied Science Private University, Amman, Jordan, 2006-2009.
University of Bradford (UK): an award of £500 to attend the CISM summer school, Boston MA, USA, 2009.
Included in Marquis Who’s Who in the World 2015, 32nd Edition, Marquis Who’s Who, USA.
Included in Marquis Who’s Who in the World 2014, 31st Edition, Marquis Who’s Who, USA.
Included in Marquis Who’s Who in Science and Engineering 2011, 11th Edition, Marquis Who’s Who, USA.

Research Interests

Applications of machine learning algorithms, deep learning, NLP, AI, smart and green buildings, solar PV applications, space weather and solar energy, computer vision, brain-computer interface, and digital image processing.

Publications

Investigating the Association among Active Regions, Flares and CMEs using Machine Learning

R. Qahwaji, T. Colak, M. Al-Omari, and S. Ipson (2007). "Investigating the Association among Active Regions, Flares and CMEs using Machine Learning," in SOHO 20 Conference: Transient Events on the Sun and in the Heliosphere, Ghent, Belgium.

Large-Scale Numerical Analysis for the Prediction of Flares using Support Vector Machines and Neural Networks

R. Qahwaji, T. Colak, and M. Al-Omari (2007). "Large-Scale Numerical Analysis for the Prediction of Flares using Support Vector Machines and Neural Networks," in SOHO 20 Conference: Transient Events on the Sun and in the Heliosphere, Ghent, Belgium.

Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

R. Qahwaji, T. Colak, M. Al-Omari, and S. Ipson (2008). "Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations," Solar Physics, vol. 248, pp. 471 - 483.

Computerised Representation of the Association between Solar Features and Activities using Radial Basis Functions

R. Qahwaji, M. Al-Omari, T. Colak, and S. Ipson (2008). "Computerised Representation of the Association between Solar Features and Activities using Radial Basis Functions," in IASTED International Conference on Visualization, Imaging and Image Processing (VIIP 2008), ACTA Press, Palma de Mallorca, Spain, p. 808.

Support Vector Machines for Automated Knowledge Extraction from Historical Solar Data: A Practical Study on CME Predictions

M. Al-Omari, R. Qahwaji, T. Colak, and S. Ipson (2008). "Support Vector Machines for Automated Knowledge Extraction from Historical Solar Data: A Practical Study on CME Predictions," in 5th International Multi-Conference on Systems, Signals and Devices (IEEE SSD 2008), Amman, Jordan, pp. 1-6.

Using the Real, Gentle and Modest AdaBoost Learning Algorithms to Investigate the Computerised Associations between Coronal Mass Ejections and Filaments

R. Qahwaji, M. Al-Omari, T. Colak, and S. Ipson (2008). "Using the Real, Gentle and Modest AdaBoost Learning Algorithms to Investigate the Computerised Associations between Coronal Mass Ejections and Filaments," in Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2008), Mosharaka for Researches and Studies, Amman, Jordan, pp. 37-42.

Morphological-Based Filtering of Noise: Practical Study on Solar Images

M. Al-Omari, R. Qahwaji, T. Colak, and S. Ipson (2007). "Morphological-Based Filtering of Noise: Practical Study on Solar Images," in IEEE International Conference on Signal Processing and Communication, Dubai, United Arab Emirates, pp. 1075-1078.

Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

Qahwaji R, Colak T, Al-Omari M and Ipson S (2009): "Automated Prediction of CMEs Using Machine Learning of CME–Flare Associations", Solar Image Analysis and Visualization, 10.1007/978-0-387-98154-3_19 (ed.), Springer, New York, pp. 261-273.

Applied Machine Learning for Solar Data Processing: Developing Automated Technologies for Knowledge Extraction and Prediction of Solar Activities using Machine Learning

Alomari M, Qahwaji R and Ipson S (2011): "Applied Machine Learning for Solar Data Processing", LAP LAMBERT Academic Publishing, Saarbrücken, Germany ISBN: 978-3-8454-7776-3.

Next-Day Prediction of Sunspots Area and McIntosh Classifications using Hidden Markov Models

M. Al-Omari, R. Qahwaji, T. Colak, S. Ipson, and C. Balch (2009). "Next-Day Prediction of Sunspots Area and McIntosh Classifications using Hidden Markov Models," in 2009 International Conference on CYBERWORLDS Bradford, UK.

Engineering System Design for Automated Space Weather Forecast. Designing Automatic Software Systems for the Large-Scale Analysis of Solar Data, Knowledge Extraction and the Prediction of Solar Activities Using Machine Learning Techniques.

Alomari M (2010): "Engineering System Design for Automated Space Weather Forecast", PhD Thesis, University of Bradford, Bradford, UK.

Machine Learning-based Investigation of the Associations Between CMEs and Filaments

Al-Omari M, Qahwaji R, Colak T and Ipson S (2010). "Machine Learning-based Investigation of the Associations Between CMEs and Filaments", Solar Physics, DOI: 10.1007/s11207-010-9516-5, 262 (2): 511-539.

Postat: A Cross-Platform, RSS-based Advertising and Event Notification System for Educational Institutions

Alomari M. H., Abusaimeh H, Shahin S, and Joudeh R (2013). “Postat: A Cross-Platform, RSS-based Advertising and Event Notification System for Educational Institutions”, Procedia - Social and Behavioral Sciences, 73, 120-127, Elsevier.

Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning

Alomari MH, Samaha A, and AlKamha K (2013). “Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning”, International Journal of Advanced Computer Science and Applications, 4 (6), 207-212, IJACSA.

Application of Wavelet Transform Analysis to ADCs Harmonics Distortion

Awada EA and Alomari MH (2013). “Application of Wavelet Transform Analysis to ADCs Harmonics Distortion”, Computer and Information Science, 6(3), 118-124, CCSE.

Systems Variability Modeling: A Textual Model Mixing Class and Feature Concepts

Younis O, Ghoul S, and Alomari MH (2013). “Systems Variability Modeling: A Textual Model Mixing Class and Feature Concepts”, International Journal of Computer Science & Information Technology (IJCSIT), 5(5), 127-139, AIRCC.

Subject-Independent EEG-Based Discrimination Between Imagined and Executed, Right and Left Fists Movements

Alomari MH, Awada EA, and Younis O (2014). “Subject-Independent EEG-Based Discrimination Between Imagined and Executed, Right and Left Fists Movements”, European Journal of Scientific Research, 118(3), 364-373, SRP.

Wavelet-Based Feature Extraction for the Analysis of EEG Signals Associated with Imagined Fists and Feet Movements

Alomari MH, Awada EA, Samaha A, and AlKamha K (2014). “Wavelet-Based Feature Extraction for the Analysis of EEG Signals Associated with Imagined Fists and Feet Movements”, Computer and Information Science, 7(2), 17-27, CCSE.

Cascade Neural Network to Control A Mobile Robot in Non-Structured Environment

Manasreh A, AbuBaker A, Alomari MH, and Baniyounes AM (2014). “Cascade Neural Network to Control A Mobile Robot in Non-Structured Environment”, European Journal of Scientific Research, 21(4), 419-426.

Componentized-based Framework for Developing Engineering e-Training Content

Turani A and Alomari MH (2014). “Componentized-based Framework for Developing Engineering e-Training Content”, European Journal of Scientific Research, 121(3), 321-327.

An Overview of Solar Cooling Technologies Markets Development and its Managerial Aspects

Baniyounes AM, Ghadi YY, Rasul MG, Alomari MH, and Manasreh A (2014). “An Overview of Solar Cooling Technologies Markets Development and its Managerial Aspects”, In the 6th International Conference on Applied Energy (ICAE2014), Taipei, Taiwan, May 30 - June 2, 2014.

EEG Mouse: A Machine Learning-Based Brain Computer Interface

Alomari MH, AbuBaker A, Turani A, Baniyounes AM, and Manasreh A (2014). “EEG Mouse: A Machine Learning-Based Brain Computer Interface”, International Journal of Advanced Computer Science and Applications, 5 (4), 193-198.

EEG-Based Classification of Imagined Fists Movements using Machine Learning and Wavelet Transform Analysis

Alomari MH, Baniyounes AM, and Awada EA (Sep 2014). “EEG-Based Classification of Imagined Fists Movements using Machine Learning and Wavelet Transform Analysis”, International Journal of Advancements in Electronics and Electrical Engineering (IJAEEE), 3(3), 83-87.

An Overview of Solar Cooling Technologies Markets Development and its Managerial Aspects

Baniyounes AM, Ghadi YY, Rasul MG, Alomari MH, and Manasreh A (2015). “An Overview of Solar Cooling Technologies Markets Development and its Managerial Aspects”, Energy Procedia, 61, 1869-1864.

Wavelet Estimation of THD Based on Hilbert Transform Extraction

Awada EA, Alomari MH, and Radwan E (2016). “Wavelet Estimation of THD Based on Hilbert Transform Extraction”, International Journal of Applied Engineering Research, 11(9), 6451-6456.

A Predictive Model for Solar Photovoltaic Power using the Levenberg-Marquardt and Bayesian Regularization Algorithms and Real-Time Weather Data

M. H. Alomari, O. Younis, and S. Hayajneh (2018). "A Predictive Model for Solar Photovoltaic Power using the Levenberg-Marquardt and Bayesian Regularization Algorithms and Real-Time Weather Data", International Journal of Advanced Computer Science and Applications, 9 (1), 347-353, Feb. 2018.

Solar Photovoltaic Power Forecasting in Jordan Using Artificial Neural Networks

M. H. Alomari, J. Adeeb, and O. Younis (2018). “Solar Photovoltaic Power Forecasting in Jordan Using Artificial Neural Networks,” International Journal of Electrical and Computer Engineering, 8(1), 497-504, Feb. 2018.

Erratum to: Machine Learning-Based Investigation of the Associations between CMEs and Filaments

Al-Omari M, Qahwaji R, Colak T and Ipson S (2013). "Erratum to: Machine Learning-based Investigation of the Associations Between CMEs and Filaments", Solar Physics, DOI: 10.1007/s11207-012-0163-x, 282 (1): 319–319.

Cascades Neural Network based Segmentation of Fluorescence Microscopy Cell Nuclei

SM Hayajneh, MH Alomari, and B. Al-Shargabi (2018). “Cascades Neural Network based Segmentation of Fluorescence Microscopy Cell Nuclei”, International Journal of Advanced Computer Science and Applications, 9(5). doi:10.14569/IJACSA.2018.090537

Real-time Detection of Wearable Camera Motion Using Optical Flow

O. Younis, W. Al-Nuaimy, F. Rowe, and MH Alomari (2018). Real-time Detection of Wearable Camera Motion Using Optical Flow. In 2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (pp. 238-243).

PVPF Tool: An Automated Web Application for Real-Time Photovoltaic Power Forecasting

MH Alomari, J. Adeeb, and O. Younis (2019). “PVPF Tool: An Automated Web Application for Real-Time Photovoltaic Power Forecasting”, International Journal of Electrical and Computer Engineering, 9(1), 34-41. doi:10.11591/ijece.v9i1.pp34-41

A Hazard Detection and Tracking System for People with Peripheral Vision Loss using Smart Glasses and Augmented Reality

O. Younis, W. Al-Nuaimy, MH Alomari, and F. Rowe (2019). “A hazard detection and tracking system for people with peripheral vision loss using smart glasses and augmented reality”, International Journal of Advanced Computer Science and Applications, 10(2), 1-9.

A Smart Context-Aware Hazard Attention System to Help People with Peripheral Vision Loss

O. Younis, W. Al-Nuaimy, F. Rowe, and MH Alomari (2019). “A Smart Context-Aware Hazard Attention System to Help People with Peripheral Vision Loss”, SENSORS, 19(7). doi:10.3390/s19071630

Crafting the Future: Generative AI’s Role in Shaping Engineering, Architecture, and IT Landscapes; Where Imagination Knows No Bounds!

December 11, 2023

Talk at AlHussein Technical University, Amman, Jordan

Service and leadership

Project Manager: (Jun 2018 – Jun 2021) A Knowledge Transfer Partnership (KTP) project: “The MyHomeMove Project” (KTP010950). Amount awarded: 350,674 GBP. The project is funded by Innovate UK and MyHomeMove Ltd.
Dean of Engineering: (Sep 2015 – Sep 2017) Faculty of Engineering, Applied Science Private University, Amman, Jordan.
Director of the Renewable Energy Center: (Sep 2015 – Sep 2017) Applied Science Private University, Amman, Jordan. Managed the center employees to execute maintenance works for the installed solar PV systems (Fixed Poly-crystalline, Mono-crystalline, and Thin film panels and CPV and Polycrystalline Trackers) and the weather station and to carry out the required arrangements and support for research projects in the field of renewable energy and sustainability. More info…
Director of the Engineering Workshops: (Sep 2015 – Sep 2017) Applied Science Private University, Amman, Jordan. Managed workshop employees to execute repair works and production projects. The duty included intensive management for the time, cost and quality objectives of work activities within the university.
Head of Department: (Sep. 2011 – Oct. 2012) Computer Science Department, Applied Science Private University, Amman, Jordan.

Mohammad

CV