BASEM A. ALKHALEEL – Machine learning – Best Paper Award

BASEM A. ALKHALEEL - Machine learning - Best Paper Award

King Saud University - Saudi Arabia

PROFESSIONAL SUMMARY

Basem A. Alkhaleel is a dedicated Assistant Professor in Industrial Engineering with a distinguished record of academic excellence and practical expertise in process reengineering and business continuity. Combining his extensive background in teaching, research, project management, and consulting, he brings a unique perspective to both academia and industry. With skills in leading cross-functional teams, analyzing complex systems, and implementing innovative solutions, he excels in driving process optimization, operational efficiency, and organizational resilience.

EDUCATION

Basem A. Alkhaleel holds a Ph.D. in Industrial Engineering from the University of Arkansas (2021), an MSc in Industrial and Systems Engineering from Texas A&M University (2015), and a BSc in Industrial Engineering from King Saud University (2012).

ACADEMIC AND RESEARCH EXPERIENCE

As an Assistant Professor at King Saud University since September 2021, Basem A. Alkhaleel has been involved in directing the counseling unit for undergraduate engineering students, participating in various departmental committees, and supervising numerous undergraduate student graduation projects. His research focuses on machine learning applications in critical infrastructure resilience, reliability engineering, and business continuity.

PROFESSIONAL EXPERIENCE

In addition to his academic roles, Basem A. Alkhaleel is a Management Consultant at ES Consulting in Riyadh, Saudi Arabia, where he develops and implements process improvement strategies and business continuity plans. He has also served as a Project Manager at the Arkansas Department of Transportation, leading the development and implementation of a decision support system for multi-modal transportation operations.

PROJECT MANAGEMENT AND CONSULTING

Basem A. Alkhaleel has managed several high-profile projects, including process documentation and modeling for the Ministry of Municipal and Rural Affairs and Housing and the Advanced Electronics Company. His work involves process modeling, documentation, digitalization, and KPI alignment to improve operational and strategic efficiencies.

RESEARCH AND INNOVATION

During his Ph.D. research at the University of Arkansas, Basem A. Alkhaleel developed resilience-based restoration models for disrupted critical infrastructures and combined risk mitigation with resilience restoration and simulation modeling. His MSc research at Texas A&M University focused on data-driven approaches to improve decision-making processes in engineering projects.

TEACHING AND MENTORING

With a strong commitment to education, Basem A. Alkhaleel has lectured on various industrial engineering subjects, including manufacturing processes and reliability engineering, at King Saud University. His teaching philosophy emphasizes innovative strategies to enhance student performance and academic success.

STRATEGIC PLANNING AND DEVELOPMENT

Earlier in his career, Basem A. Alkhaleel worked as a Strategic Planner at Ma’aden Company, developing long-term strategic plans and applying business development tools to identify areas of improvement. His strategic insights and communication skills have been instrumental in achieving organizational objectives and driving continuous improvement initiatives.

NOTABLE PUBLICATIONS

Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty 2022 (44)

Hybrid simulation to support interdependence modeling of a multimodal transportation network 2021 (19)

Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review 2023 (8)

Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks 2022 (10)

Swathi – ARTIFICIAL INTELLIGENCE – Best Researcher Award

Swathi - ARTIFICIAL INTELLIGENCE - Best Researcher Award

PANIMALAR ENGINEERING COLLEGE - India

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Swathi.S stands as a dedicated and motivated individual, poised to leverage her educational background and skills to impart knowledge. With a focus on both modern and traditional teaching approaches, she is committed to fostering skill development in learners.

PROFESSIONAL ENDEAVORS:

Her academic journey includes a Ph.D. in Computer Science and Engineering from Anna University, where her provisional confirmation showcases a commitment to advancing knowledge. With a master's degree from P.A College of Engineering and Technology and a bachelor's degree from Dr.N.G.P Institute of Technology, Swathi.S has built a strong academic foundation.

CONTRIBUTIONS AND RESEARCH FOCUS:

Swathi.S has ventured into the realm of academia with roles ranging from Lecturer to Assistant Professor in various esteemed institutions. Her current position as an Assistant Professor in Artificial Intelligence and Data Science at Panimalar Engineering College reflects her evolving research focus and dedication to staying at the forefront of technological advancements.

IMPACT AND INFLUENCE:

Attending a plethora of Faculty Development Programs (FDP) and workshops, Swathi.S ensures she stays abreast of the latest trends. Her active participation in conferences and seminars, both national and international, underscores her commitment to academic growth and networking.

ACADEMIC CITES:

While specific details about academic citations are not provided, Swathi.S's continuous engagement in FDPs and attendance at conferences indicate a proactive approach to staying connected with the academic community. This involvement likely contributes to her academic citations indirectly.

LEGACY AND FUTURE CONTRIBUTIONS:

Swathi.S's journey has been marked by a series of FDPs, workshops, and conferences, laying the groundwork for a legacy of continuous learning and knowledge dissemination. Her current position in the field of Artificial Intelligence positions her for impactful future contributions.

ARTIFICIAL INTELLIGENCE FOCUS:

Swathi.S has demonstrated a keen interest in Artificial Intelligence, evident from her current role and the repeated participation in FDPs related to AI. Her future contributions are likely to make significant strides in the field of Artificial Intelligence.

NOTABLE PUBLICATION

Recurrent Neural Network for Human Action Recognition using Star Skeletonization.  2019 (3)