Complex Decisions Made Simpler With the Right Tools, Skills, and Data: A Faculty Panel Discussion on Technology and Innovation
Gain invaluable insights into the tools, skills, and data necessary to gain decision-making skills in professions across all fields, transcending the boundaries of technology. Whether you are in tech or beyond, this session will equip you with the knowledge and strategies to navigate day-to-day tasks and contribute meaningfully to your career and communities.
This conversation with Elisa Schaeffer, D.Sc., Academic Director, Technology & Innovation academic domain at McGill SCS, Nabil Beitinjaneh, BEng, MBA, CBDA., Faculty Lecturer at McGill SCS, Majid Babaei, Ph.D. Assistant Professor at McGill SCS, and Alejandro Gutierrez Lopez, MSc, PhD, PMP, CPOA, CBDA., Faculty Lecturer at McGill SCS, will include current and emerging topics such as cybersecurity and artificial intelligence, as well as ethical concerns that arise as technology penetrates all aspects of society.
Don't miss out on this enlightening conversation! Join us on Tuesday, April 2nd at 12:15 p.m. that is shaping the future of decision-making.
This event will be held in English.
Speakers
About Majid Babaei
Majid Babaei holds a Ph.D. in Computing with a focus on Software Engineering from the School of Computing at Queen's University. Majid’s research interests lie in the development of techniques for model-level debugging and testing of software systems. He is a member of the Professional Development Committee at the Canadian Association for University Continuing Education (CAUCE), as well as he serves on the Strategic Planning Committee of the School of Continuing Studies at McGill University.
Majid actively fosters partnerships between academia and industry, ensuring that educational programs remain aligned with the evolving needs of the professional landscape. His doctoral dissertation on "Regression Testing of Distributed Real-Time Embedded Systems in the Context of Model-Driven Development" provides a comprehensive overview of the primary challenges for performing regression testing in large-scale distributed systems. It also offers promising solutions for these challenges that can be adopted by tech. industries to improve the performance of their testing strategies.
About Nabil Beitinjaneh
Nabil Beitinjaneh is a consultant and trainer with more than 25 years of experience in strategy development, business intelligence, project management, systems and process engineering spanning both the corporate and the entrepreneurial world.
Nabil is known for his ability to mobilize individuals and to grow teams in turbulent and undefined environments. His professional corporate experience includes Nortel and CGI, where he has held positions of increasing responsibility and has been involved in the area of business intelligence and data analytics. As an entrepreneur, he supported the growth of several businesses through strategy consulting and business development. He has lived in North America, Asia and Africa and is experienced with intercultural negotiations and bridging geographies. Nabil holds an Executive MBA from Concordia University, in addition to his degree in Electrical Engineering (computers) from McGill University.
Nabil is curious and a life-long learner who loves to share his knowledge and experience through teaching. Currently, he is a program coordinator for Data Science and Data Analytics programs at the School of Continuing Studies, as well as a course instructor at Concordia University’s Centre for Continuing Education.
Nabil is actively engaged in the community through his work at Le centre Culturel Syrien, which focuses on helping newcomers to Montréal in their integration, and in alleviating the suffering of those impacted by the conflict in Syria.
About Alejandro Gutierrez Lopez
Alejandro Gutierrez Lopez, Ph.D., has more than fifteen years of experience in Information Technology projects working for companies in Mexico, Sweden, Iceland, and Canada. His fields of expertise include data science, project management, simulation models, and software systems.
Alejandro is a faculty lecturer at the School of Continuing Studies, where he teaches multiple courses in business analytics and data science. He holds a Ph.D. in Project Management from the University of the Basque Country in Spain, a Master of Science in Entrepreneurship from Lund University in Sweden, and a Bachelor’s degree in Computer Systems Engineering from the University of Monterrey in Mexico. Alejandro holds several professional certifications including, Certified Project Management Professional (PMP), certified Microsoft Excel Expert, as well as Certification in Business Data Analytics (IIBA®- CBDA) and Certificate in Product Ownership Analysis (IIBA®-CPOA).
About Elisa Schaeffer
Elisa is a Finnish mathematical computer scientist with a keen interest in computational intelligence. Her research jumps around the potential applications of graph theory and machine learning, touching areas such as social sciences, medicine, economics, and forestry. She is passionate about digital learning, real-time and asynchronous, and an early adopter of emerging software and hardware solutions to facilitate teaching and research, especially open-source solutions.
