3-D Computer Modeling Professors and Supervisors

Marcelin Joanisمشاهده پروفایل

استاد

Polytechnic School of MontrealCanada

Marcelin Joanis is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, where he applies his Ph.D. in Economics from the University of Toronto to critical issues in public infrastructure and economic policy. His research bridges economics, engineering, and public policy to address practical challenges in infrastructure financing, governance, and sustainable development. Professor Joanis maintains extensive affiliations across the research ecosystem: Principal Investigator and Fellow at CIRANO (Interuniversity Research Centre for Organizational Analysis) Director of the Michael D. Penner Institute on ESG Issues Manager of International Projects Thematic Focus Member of CÉRIUM (Centre for International Studies and Research of the University of Montreal) Member of CRIB (Concrete Infrastructure Research Center) Member of Poly-Industries 4.0 Laboratory Member of GMT (Research Group on Management and Globalization of Technology) His research portfolio spans public infrastructure financing, multi-level governance, economic geography, and international economic development. Professor Joanis has published extensively on fiscal federalism, infrastructure investment impacts, and energy transition, with recent work examining decarbonization of remote microgrids and the economic impacts of road connections in Northern Canada. His interdisciplinary approach combines rigorous economic analysis with practical engineering applications to inform policy decisions. Professor Joanis has supervised 13 graduate students to completion (3 doctoral and 10 master's theses), with one doctoral student currently in progress. His students have addressed diverse topics including algorithmic coordination, infrastructure development in Northern Canada, and sustainable technologies, demonstrating the breadth of his research influence. He is regularly engaged in public policy debates, contributing to media discussions on Quebec's budgetary framework, tax policy impacts, and sustainable infrastructure investment. His expertise is frequently sought by government bodies and research institutes, reflecting the practical relevance of his work to contemporary economic and infrastructure challenges.

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Michel C. Desmaraisمشاهده پروفایل

استاد

Polytechnic School of MontrealCanada

Michel C. Desmarais is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been faculty since 2002. With a PhD in Psychology from Université de Montréal, his research bridges artificial intelligence, educational technology, and human-computer interaction. He holds affiliations with IVADO and LAMA-WeST research groups, and has held visiting positions at Sorbonne University, Eindhoven Technical University, and other European institutions. His research focuses on three interconnected pillars: 1) Cognitive modeling and educational data mining , developing algorithms for student knowledge assessment and adaptive learning systems; 2) AI-driven educational tools , including automated grading systems and peer instruction platforms; and 3) Recommendation systems and user modeling , particularly for personalized learning interfaces. His work consistently applies machine learning to solve practical challenges in technology-enhanced education. Analysis of his 150+ publications reveals strong trends in educational NLP (sentence similarity for short-answer grading), generative AI (LLM-generated code validation), and Bayesian modeling (Q-matrix refinement). Recent work increasingly focuses on transformer architectures and real-world educational datasets. He maintains an active supervision record, having graduated 35+ graduate students. Current PhD candidates work on NLP for educational applications (Bakhtiari, Kamdem) and AI for engineering (Wang). His teaching covers user interface design, recommender systems, and intelligent interfaces. Professional service includes editorial leadership (JEDM journal), conference co-chairing (UMAP 2017, EDM founding), and grant review panels for NSERC, MITACS, and EU programs. Industry experience includes prior roles as R&D Director at MVM Inc. and researcher at Montreal Computer Research Center.

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Isaac Lera Castroمشاهده پروفایل

دانشیار

University of the Balearic IslandsSpain

Computer Architecture
Performance Evaluation of Computer Systems
Cloud Computing
+۴ مورد دیگر

Dr. Isaac Lera Castro is an Associate Professor at the University of the Balearic Islands, School of Mathematics and Computer Science, Department of Computer Architecture and Technology. He serves as Deputy Director of the Laboratory of Artificial Intelligence Applications (LAIA) and is a member of the ACSIC (Architecture and Behavior of Computer and Telecommunication Systems) R&D Group. His educational background includes a Ph.D. in Computer Science from the University of the Balearic Islands (2012) and a Computer Engineering degree from the same institution (2006). He has been actively involved in academia since 2005. Dr. Lera Castro's research focuses on computer architecture, performance evaluation of computer systems, cloud computing, edge computing, fog computing, and semantic web. His work has particular emphasis on simulation and modeling of distributed systems, with significant contributions to fog computing architectures and performance assessment methodologies. He has developed YAFS (Yet Another Fog Simulator), a tool for simulating IoT scenarios in fog computing environments that has gained recognition in the research community. His publication record includes multiple papers in JCR-SCI indexed journals, with 11 highly relevant publications (7 in Q1 and 4 in Q2) and 6 relevant publications (3 in Q3 and 3 in Q4) as of 2019. His research spans from early work on semantic web applications to recent contributions in fog computing and IoT simulation, showing a consistent trajectory of innovation in distributed systems. 2019: YAFS simulator for IoT scenarios in fog computing (IEEE Access) 2019: Availability-aware service placement in fog computing (IEEE IoT Journal) 2017: Human mobility pattern analysis using complex networks (PLOS ONE) 2006: Performance-related ontologies and semantic web applications (Science of Computer Programming) Dr. Lera Castro has extensive teaching experience across undergraduate, graduate, and master's programs. He has taught core subjects including Computer Architecture, Current Computer Systems, and Evaluation and Exploitation of Computer Systems, as well as specialized courses like Cloud Computing and Technologies for Big Data Analysis. From 2018 to 2021, he served as co-director of the Master's Degree in Big Data Analysis in Economics and Business. He leads the Laboratory of Artificial Intelligence Applications (LAIA), which focuses on applying AI techniques to distributed systems with particular expertise in performance modeling and resource allocation in cloud, fog, and edge computing environments.

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Pankaj Mehraمشاهده پروفایل

استاد پژوهشی

Ohio State UniversityUnited States

Pankaj Mehra is a Research Professor in the Department of Computer Science and Engineering at The Ohio State University and CEO of Elephance Memory, a company he founded that develops software for disaggregated data center memory optimization. He holds a Ph.D. in Computer Science from The University of Illinois at Urbana-Champaign and has extensive industry leadership experience including SVP/WW CTO at Fusion-io, VP/Senior Fellow roles at SanDisk and Western Digital, and VP positions at Samsung where he led SmartSSD development. His research focuses on memory-semantic fabrics (CXL, UALink), Memory Objects abstraction for data-centric programming, and AI Super Devices (AISDs) for near-data processing in AI workloads. Key interests include optimizing memory systems for Retrieval Augmented Generation (RAG), vector databases, and Approximate Nearest Neighbor Search (ANNS) algorithms. His notable scientific awards include: Samsung R&D Award (2019) for SmartSSD development CES R&D Innovation Award (2021) for SmartSSD Dr. Mehra founded HP Labs Russia and served as Chief Scientist until 2010. He is an active industry contributor to the Open Compute Project and DOE EMC3 initiatives, with scheduled presentations at the 2025 OCP Global Summit on composable memory systems and data-centric computing. His entrepreneurial ventures include Elephance Memory, IntelliFabric, Whodini, and AwarenaaS, with publications spanning 3 books and over 100 papers and patents in memory technologies and distributed systems.

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Stefan Wagnerمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Stefan Wagner is a full professor of software engineering at the Technical University of Munich (TUM), where he leads the Chair of Software Engineering within the Informatics Heilbronn 3 department. He earned his PhD in computer science from TUM and has established himself as a leading researcher in software engineering with a unique interdisciplinary background combining computer science and psychology. Dr. Wagner's research spans multiple areas of software engineering including software quality, human factors, AI-based software engineering, automotive software, and empirical studies. His work often bridges theoretical foundations with practical applications, particularly in the automotive domain and AI-assisted development. He has published over 130 peer-reviewed scientific articles and authored the book 'Software Product Quality Control.' His recent publications demonstrate a growing focus on AI integration in software engineering, with particular attention to large language models, empirical validation of AI-assisted development practices, and the human aspects of these emerging technologies. There's also a strong thread of research on automotive software systems, technical debt, and software quality measurement. 2022 Class of IEEE Computer Society Distinguished Contributors Senior member of IEEE and ACM Best Full Paper Award, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement 2020 Best Paper Award, EAI International Conference on Cognitive Computing and Cyber Physical Systems 2020 Keynote at the International Conference on Software Quality 2020 Google Research Award 2009 Dr. Wagner actively mentors students and early-career researchers, with several frequent co-authors on his publications likely representing his advisees. His research has been supported by various funding sources enabling his work on automotive software, AI in software engineering, and empirical studies. He serves on the editorial boards of IEEE Software, Empirical Software Engineering, and the Journal of Systems and Software, contributing significantly to the academic community. His research group appears to focus on several key areas including AI-assisted software development, automotive software systems, and empirical software engineering methods. The group maintains active collaborations with industry partners, particularly in the automotive sector, and engages in interdisciplinary research bridging computer science with psychology and human factors.

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