North Vancouver Train Siding is a railway station located in the city of North Vancouver, British Columbia, Canada and is serviced by the Rocky Mountaineer tour company. The station is used on the Rainforest to Gold Rush route that goes to Jasper (via Whistler and Quesnel). It was formerly the southern terminus of the Whistler Sea to Sky Climb.
Christopher Amato is an American computer scientist and Associate Professor in the Khoury College of Computer Sciences at Northeastern University in Boston, Massachusetts. His research focuses on reinforcement learning, multi-agent systems, and planning in partially observable environments. He leads the Lab for Learning and Planning in Robotics (LLPR).
Education
Amato received a Bachelor of Arts in Clinical Psychology and Philosophy from Tufts University. He pursued graduate studies at the University of Massachusetts Amherst, earning a Master of Science in Computer Science followed by a Ph.D. in Computer Science under the supervision of Shlomo Zilberstein. His dissertation focused on increasing scalability in algorithms for centralized and decentralized partially observable Markov decision processes (POMDPs).
Career
After completing his doctorate, Amato worked as a research scientist at Aptima, Inc. He subsequently held positions as a postdoctoral fellow and research scientist at the Massachusetts Institute of Technology (MIT), where he worked with Leslie P. Kaelbling and the Learning and Intelligent Systems group in the Computer Science and Artificial Intelligence Laboratory (CSAIL), as well as Jonathan P. How and the Aerospace Control Lab in the Laboratory for Information and Decision Systems (LIDS). He also served as an Assistant Professor at the University of New Hampshire from 2015 to 2016.
Amato joined Northeastern University in 2016 as an Assistant Professor and was promoted to Associate Professor in 2022. At Northeastern, he leads the Lab for Learning and Planning in Robotics, focusing on reinforcement learning and planning in partially observable and multi-agent/multi-robot systems.
Muhammad Faisal Maqsood (Urdu: محمد فیصل مقصود) is a telecommunications engineer and data scientist. He specializes in 5G/4G network design, AI-driven optimization, non-terrestrial networks (NTN), satellite-to-device integration, and early 6G concepts. He has worked on projects for operators including Turkcell, Charter Communications, Rakuten, Rogers, Telefónica, AT&T, and Etisalat.
Maqsood has written articles on converged 5G/6G-AI-satellite systems published on the IEEE Communications Society Young Professionals website.
Early life and education
Born in Pakistan, Maqsood earned a Bachelor of Science in Electrical Engineering from the University of Azad Jammu and Kashmir. He has completed specialized training in generative AI, machine learning, Internet of Things, and disaster communication through programs offered by the University of Illinois, IBM, Microsoft, and the State University of New York.
Career
Maqsood began his career in Pakistan and the Middle East from 2006 to 2011, working on radio network planning and optimization for WiMAX, 3G, and 2G systems at Huawei Technologies and Dreaming Link. He later held senior roles in 4G and early 5G deployments.
Since July 2024 he has served as Principal Subject Matter Expert for 5G, AI, and NTN at DataCom Edge.
From May 2022 to July 2024 he was Principal Wireless Engineer II at Charter Communications, where he worked on AI and machine learning solutions for 5G and NTN networks and collaborated on satellite-to-device trials with AST SpaceMobile.
Between 2018 and 2022 he held senior engineering roles at Ram Tek Communications (USA), Rakuten (Japan), and Telefónica/AT&T (Mexico), focusing on 5G deployments, O-RAN/V-RAN architecture, and network optimization.
From 2016 to 2018 he worked as 4G Planning & Optimization Expert at Turkcell in Turkey. Earlier positions included roles at Huawei Technologies (Saudi Arabia, Oman, Bangladesh, Pakistan) and Teoco (UAE).
Publications
Maqsood has published articles regarding the integration of AI with satellite and 5G networks:
- "AI-Driven 5G/6G-Satellite Hybrid Networks: A Real-Time Framework for Life-Saving Emergency Decision-Making" (2025).
- "Enhancing Economic Prosperity and Disaster Resilience in Under-Served U.S. Communities Using Converged 5G/6G-AI-Satellite Technologies" (2025).
References
Professional affiliations
- IEEE (Senior Member)
- American Institute of Aeronautics and Astronautics (AIAA)
- Space & Satellite Professionals International (SSPI)
- Pakistan Engineering Council (PEC)
External links
Lukas Czinger is an American entrepreneur and business executive. He is the co-founder and chief executive officer of Divergent Technologies, a manufacturing technology company specializing in additive manufacturing and digital production systems. He is also the founder and chief executive officer of Czinger Vehicles, a performance automotive brand and subsidiary of Divergent Technologies.