Socio-Technical Systems Lab

Publications & Patents

  • PATENTS
  • PUBLICATIONS
PATENTS
  • Mohammed, B., Salah, K., and AlQutayri, M., “Manipulating Reference Voltage of the Memory,” US – Regular Patent Application No 14/679,162, Granted December 2107.
  • Mohammed, B., Salah, K., and AlQutayri, M., “Randomization of Data Stored in Memory”, US – Regular Patent Application No 14/681,156, Granted November 2017
  • Salah, K., Mohammed, B., AlQutayri, M., and Albelooshi, B., “Volatile Memory Erasure by Controlling Refreshment of Stored Data” US – Regular Patent Application No. 14/627,133, July 3, 2018.
  • Systems and methods for inspecting surfaces, coatings” US-Patent, US 2005/0186327 #7129492, Joint patent with Toyota Motor Co. USA. (Awarded 2006)
  • Systems and methods for inspecting surfaces, coatings”, WO2006/054962 A2, World Intellectual Property Organization, (Awarded 2007)
  • Nondestructive testing apparatus for seam welding” US-patent, Patent-filed and pending (2008), (Regional Patent Awarded 2008), Pub. No. 60/785,886
PUBLICATIONS

Google Scholar

  1. Karakatsanis, I., AlKhader, W., Woon, W., Omar, M. “Data Mining Approach to Monitoring the Requirements of the Job Market, Automation Case Study”, DOI, 10.1016/j.is.2016.10.009
  2. Mayyas, A., Omar, M. A., Mayyas Abed., Qattawi, A., Qin, S., “Knowledge based system, equipped with clustering analysis for eco-material selection”, International Journal of Sustainable Engineering, DOI: 10.1080/19397038.2013.798713,
  3. Omar, M. A., Zhu, Q., Khraisheh, D. Lahouji, A. Abou Ali, “A Hybrid Simulation Approach for Predicting Energy Flows in Production Lines” Intl. J. of Sustainable Engineering, DOI: 10.1080/19397038.2015.1008599,
  4. Hasan, H. and Salah, K., “Blockchain-based Proof of Delivery of Physical Assets with Single and Multiple Transporters,” IEEE Access, December 2018, Vol. 6, No.1, pp. 46781-46793.
  5. Khan, M. and Salah, K., “IoT Security: Review, Blockchain Solutions, and Open Challenges,” Journal of Future Generation Computer Systems, Elsevier, Vol. 82, May 2018, pp. 395-411. https://doi.org/10.1016/j.future.2017.11.022
  6. Nizamuddin, N., Hasan, H. and Salah, K., “IPFS-Blockchain-based Authenticity of Online Publications,” Proceedings of the 2018 International Conference on Blockchain (ICBC 2018), Springer LNCS, Seattle, USA, June 25 – June 30, 2018.
  7. Kafhali, S. and Salah, K., “Efficient and Dynamic Scaling of Fog Nodes for IoT Devices,” Journal of Supercomputing, Springer, Vol. 73, No. 12, December 2017, pp. 5261-5284. https://link.springer.com/article/10.1007/s11227-017-2083-x
  8. Jeong, Y.S. and Jayaraman, R. “Support Vector-Based Algorithms with Weighted Dynamic Time Warping Kernel Function for Time Series Classification”, Knowledge-Based Systems, 75, 184-191, 2015. Web of Science IF: 4.529. https://doi.org/10.1016/j.knosys.2014.12.003
  9. Jayaraman, R., Pazour, J., Rardin, R.L., Varghese, V., and Buyurgan, N. “An Exploratory Pilot Study on Supply Chain Data Standards in a Hospital Pharmacy”, Engineering Management Journal, 27(3), 141-151, 2015. Web of Science Impact Factor: 0.548. https://doi.org/10.1080/10429247.2015.1062692
  10. Sleptchenko A., Van der Heijden, M.C., 2016, ‘Joint optimization of redundancy level and spare part inventories’, Reliability Engineering & System Safety, 2016, 153, 64-74 

  11. Adan I., Sleptchenko A., Van Houtum G.J, 2009, ‘Reducing Costs of Spare Parts Supply Systems via Static Priorities,’ Asia-Pacific Journal of Operational Research, 26(4). 

  12. Pourakbar M., Sleptchenko A., Dekker R., 2009, ‘The floating stock policy in fast moving consumer goods supply chains’, Transportation Research Part E, 45(1). 

  13. Kamal Taha. “Disjoint Community Detection in Networks based on the Relative Association of Members”.IEEE Transactions on Computational Social Systems, 2018, Vol. 5, issue 2.
  14. Kamal Taha, Khaled Salah, and Paul Yoo. “Clustering the Dominant Defective Patterns in Semiconductor Wafer Maps”. IEEE Transactions on Semiconductor Manufacturing, 2017, Vol. 31, issue 1, pp. 156-165.
  15. Khoury, N. and Maalouf, M. (2018). Prediction of Resilient Modulus from Post-Compaction Moisture Content and Physical Properties Using Support Vector Regression.  Geotechnical and Geological Engineering, 36 (5): 2881-2892. 
  16. Simsekler MCE, Ward JR, Clarkson PJ. “Evaluation of System Mapping Approaches in Identifying Patient Safety Risks”, The International Journal for Quality in Health Care. 2018;30(3):227–233 https://doi.org/10.1093/intqhc/mzx176
  17. Simsekler MCE, Ward JR, Clarkson PJ. “Design for Patient Safety: A Systems-based Risk Identification Framework”, Ergonomics. 2018;61(8):1046-1064, https://doi.org/10.1080/00140139.2018.1437224
  18. Simsekler MCE, Kaya GK, Ward JR, Clarkson PJ. “Evaluating Inputs of Failure Modes and Effects Analysis in Identifying Patient Safety Risks”, International Journal of Health Care Quality Assurance, forthcoming, https://doi.org/10.1108/IJHCQA-12-2017-0233
  19. Mai Oudah and Andreas Henschel. Taxonomy-aware Feature Engineering for Microbiome Classification. BMC Bioinformatics, 2018.
  20. Ali Diabat, Tarek Abdallah, and Andreas Henschel. A closed-loop location- inventory problem with spare parts consideration. Computers & Operations Research, 2013.
  21. Syafiq Kamarul Azman, Muhammad Zohaib Anwar, and Andreas Henschel*. Visibiome: an efficient microbiome search engine based on a scalable, distributed architecture. BMC Bioinformatics, 18(1):353, 2017. *Corresponding Author. Impact factor 2.4
Emerging trends on the Future of Work: What to expect after Covid-19

The Covid-19 pandemic has significantly impacted all spheres of life, including the workforce in various domains and industries. While the Covid-19 pandemic is about to drive organizational and societal shifts, it is imperative for organizations and decision-makers to analyze trends towards a changing workforce. 

The Research Center for Digital Supply Chain and Operations Management has a unique research theme, Future of Work in the Digital Economy, which aims at developing a job analysis framework. The research seeks to help decision-makers understand which jobs and skill-sets will be impacted by the advent of Covid-19.

Led by Dr. Mohammed Omar, Professor of Industrial and Systems Engineering and Director of Research Center for Digital Supply Chain and Operations Management, the project team involves a graduate student of Engineering Systems and Management, Himanshu Upadhyay, and co-supervised by Dr. Mecit Can Emre Simsekler, Assistant Professor of Industrial and Systems Engineering, Dr. Maher Maalouf, Associate Professor of Industrial and Systems Engineering, and Dr. Siddiq Anwar, Consultant Physician at SEHA and Adjunct Associate Professor at the College of Medicine and Health Sciences. The team uses data analytics, visualization techniques and machine learning algorithms to evaluate the job analysis framework in the healthcare industry. Preliminary results of the research show that the use of emerging technologies, such as artificial intelligence, data analytics and telemedicine, will be trending in healthcare. The findings can guide policy-makers to make organizational shifts towards digital health and match demand with the required skill-set in a proactive manner.  

The link for the job analysis framework can be found here.

Dr. Mecit Can Emre Simsekler Appointed as Editor of PloS Digital Health

Dr. Mecit Can Emre Simsekler, Assistant Professor of Industrial and Systems Engineering, has been appointed as Editor at PloS Digital Health, a new open science journal dedicated to accelerating trusted, boundary-breaking research that uses digital tools, technology and data science to advance every aspect of healthcare.

The Editorial Board is comprised of experts from all over the world with field experience that spans the breadth of the journal’s scope. The journal brings together research from engineers, clinicians, and researchers as well as social scientists and industry leaders to advance healthcare technologies and decision-making tools, or broaden accessible, effective care options for diverse communities around the world.

The journal works alongside the community of leaders to shape how Open Science transforms the future of research communication in the field. Through practices like sharing preprints, open data and open code, PLOS Digital Health empowers researchers to ensure progress in this rapidly changing field is discoverable, reproducible and immediately accessible to all.

Khalifa University Wins the ASQ EMEA Students Competition 2020

A paper by senior undergraduate students from the Industrial and Systems Engineering Department at Khalifa University has won first place in the American Society for Quality (ASQ) Europe, Middle East, And Africa Region (EMEA) Students Competition 2020! 

The ASQ EMEA Students Competition highlights the region’s undergraduate and graduate students’ efforts and contribution to improve local service quality, which in return improves quality of life for all.

A total of five teams made it to the final rounds. The KU team was represented by Maha Al Dhaheri, Mariam Ramadan, Afra Al Mheiri, and Maryam Al Shehhi, and was supervised by Dr. Mecit Can Emre Simsekler, Assistant Professor of Industrial and Systems Engineering, and Dr. Saed Amer, Assistant Professor of Industrial and Systems Engineering.

Their paper, titled “Reducing Patient Discharge Time using Applied Statistical Techniques,” summarized their senior design project, which leveraged quality tools and methods to improve the patient discharge process for an inpatient clinic of a local hospital in Abu Dhabi.

Read full story here: https://www.ku.ac.ae/khalifa-university-wins-the-asq-emea-students-competition-2020 

PhD Graduates Receive Best Research Recognition from the Federal Authority of Human Resources

A paper written by two Khalifa University graduates, Dr. Abdulla Al Shimmari, PhD in Interdisciplinary Engineering, and Dr. Armin Alibasic, PhD in Interdisciplinary Engineering, was recognized by the Federal Authority of Human Resources (FAHR) with the H.H. Sheikh Mansour Bin Zayed Award for Best Research in Human Resources – 2019. The award is given to academic research papers related to human resource capital in the UAE that provide innovative suggestions and initiatives that can be adopted and applied in the country.

Dr. Al Shimmari and Dr. Alibasic’s paper, titled “Analyzing the UAE and GCC Job Market Reliability for a Transition from an Oil/Gas-based Energy Economy toward a Renewable Energy Economy,” aims to provide guidance for decision makers, employers, managers, and firms to utilize a standardized dataset of skills and attributes of different occupations to help them access information related to requirements and needs of emerging job markets. The paper was based on the research project “The Economic Impact of Advanced Technology and Automation on the Oil and Gas Sector”, which was conducted collaboratively with MIT.

Read full story here: https://www.ku.ac.ae/phd-graduates-receive-best-research-recognition-from-the-federal-authority-of-human-resources

Khalifa University Wins Senior Design Competition Organized by IEOM Society International

A paper by senior students from the Industrial and Systems Engineering Department at Khalifa University has won first place in the IEOM Capstone Student Design Project Competition that was part of the 2020 International Conference on Industrial Engineering and Operations Management (IEOM).

The team was represented by Maha Al Dhaheri, Mariam Ramadan, Afra Al Mheiri, and Maryam Al Shehhi, and was supervised by Dr. Mecit Can Emre Simsekler, Assistant Professor of Industrial and Systems Engineering, and Dr. Saed Amer, Assistant Professor of Industrial and Systems Engineering.

Their paper, titled “Improving Patient Discharge Process,” showcases their design project, which aims to improve the patient discharge process for an inpatient clinic of a local hospital in Abu Dhabi. Leveraging industrial and systems engineering principles, the students proposed a simulation-based approach to streamline the patient discharge process and consequently improve the patients’ experience.

The IEOM Society International is a non-profit organization that provides academics, researchers, scientists, and practitioners a platform and forum to exchange ideas and provide insights on the latest developments and advancements in the fields of Industrial Engineering and Operations Management.