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Chris MabeyView profile

Assistant Professor

• Sustainable Design
• Engineering for Global Development
• Agent-Based Modeling
• +6 more

Chris Mabey is an Assistant Professor of Mechanical Engineering at Clemson University’s College of Engineering, Computing and Applied Sciences. He completed his Ph.D. at Brigham Young University in 2023 and immediately began his faculty role at Clemson the same year, bringing expertise in sustainable design, agent-based modeling, and engineering for global development. Education: Ph.D. in Mechanical Engineering, Brigham Young University, 2023 B.S. in Mechanical Engineering, Brigham Young University, 2014 Research Interests: Mabey’s scholarship sits at the intersection of engineering design and social-environmental impact. He develops data-driven, agent-based simulations to predict how products—especially low-resource technologies such as improved cookstoves—will be adopted and how they will influence sustainability metrics across social, environmental, and economic dimensions. His work integrates affordance theory, life-cycle assessment, and machine-learning techniques to create decision-support tools for designers targeting global development challenges. Publication Trends: Since 2021 he has authored fifteen peer-reviewed articles, the majority appearing in the Journal of Mechanical Design and sustainability-focused journals. His 2023 output alone includes six papers that collectively advance systematic literature review methods, predictive social-impact modeling, and trade-off characterization between environmental and social outcomes. Emerging work in 2024–2025 applies affordance theory to design for mental and social health, indicating a broadening agenda toward well-being-centered engineering. Scientific Awards & Recognition: No awards or honors are explicitly listed in the provided materials. Advising & Grants: No students or funded projects are mentioned in the supplied text; these sections will be updated as public information becomes available. Labs & Teams: While specific laboratory affiliations are not detailed, Mabey is situated in 218 Fluor Daniel Building, a hub for design and innovation research within Clemson’s mechanical engineering department, and he collaborates extensively with the broader Engineering for Global Development community.

• Design Research
• Installation Art
• Film and Animation
• +4 more

Tim Shore is a Senior Lecturer in the Design Research Institute at the School of Arts. His work spans installation art, film, animation, and public art projects, often focusing on site-specific interventions and collaborative practices. His research explores intersections between art, technology, and performance, with notable projects including BlindSpot (2015) and From Pillar to Post (2014). He has presented at conferences such as the Format International Photography Festival and Creative Animation Knowledge Exchange (CAKE). Key achievements include winning the New Opportunities Award (2015) for his film installation. His collaborations with artists like Marc Bosward and Stuart Poynton highlight his interest in multi-media public installations. Recent works emphasize projection mapping, light art, and the use of recycled materials in conceptual installations. Shore’s academic contributions include conference papers on topics like printing animation techniques and the role of repetition in artistic processes. His practice-based research often involves transforming historical sites into dynamic art spaces, as seen in his Museums at Night Event projects.

Mostapha Kalami HerisView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Evolutionary Computation
• +3 more

Dr. Mostapha Kalami Heris is a Lecturer in the Department of Engineering and Mathematics at Sheffield Hallam University, within the College of Business, Technology and Engineering. With over 20 years of experience in AI, Machine Learning, and related fields, he focuses on developing impactful solutions for real-world problems through collaborative research with industry and academia. Research Interests His primary research areas include Artificial Intelligence , Machine Learning , Evolutionary Computation , Multi-objective Optimization , Control Systems , and Intelligent Systems . He explores applications such as water demand forecasting, climate-economy modeling, and optimization algorithms for logistics and environmental systems. His work often integrates computational tools like MATLAB and Python to develop innovative solutions. In his publications, Dr. Heris emphasizes the development and application of optimization techniques, including metaheuristics like Genetic Algorithms, Particle Swarm Optimization, and Artificial Bee Colony. Recent works focus on deep learning models for water resource management and multi-objective control strategies for climate and economic systems. No scientific awards are listed in the provided information. His advising and grant activities are not detailed here. He does not specify any affiliated laboratories or research teams.

Dimitriou LoukasView profile

Associate Professor

• Sustainable Mobility
• Transportation Systems Design
• Public Transport Planning
• +7 more

Dr. Dimitriou Loukas is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Cyprus, leading the Laboratory of Transportation Engineering. He holds a PhD from the National Technical University of Athens (NTUA) and has held academic positions at King Saud University and the University of Cyprus. His research focuses on sustainable transportation systems, leveraging AI, big data, and econometrics to optimize transport performance and policy design. He teaches 2 mandatory undergraduate and 5 postgraduate courses in Transport Infrastructure Management. His work spans smart city mobility, micromobility systems, freight transport optimization, and emerging transport technologies. He has secured significant national and EU research funding, reviews for top journals, and participates in international conference committees. Key research areas include: Equity in transit budget allocation Spatiotemporal analysis of shared mobility Electric vehicle policy optimization Data-driven infrastructure maintenance Airport network pandemic control strategies His laboratory develops decision-support frameworks for transport systems, integrating machine learning with traditional engineering methods to address urban mobility challenges.

Judy GoldsmithView profile

Professor

• Computer Ethics
• Computational Social Choice
• Artificial Intelligence
• +6 more

Judy Goldsmith serves as a Professor and Associate Chair in the Department of Computer Science within the College of Engineering at the University of Kentucky. Her academic profile bridges theoretical computer science with critical ethical considerations in artificial intelligence, emphasizing innovative pedagogical approaches for integrating ethics into technical curricula. Her educational foundation includes: Ph.D. in Mathematics, University of Wisconsin, 1988 Goldsmith's research program centers on Computer Ethics and Computational Social Choice , with significant contributions to Artificial Intelligence subfields including planning under uncertainty, preference handling, and computational learning theory. She pioneered the use of science fiction as a pedagogical tool for teaching ethics in computer science, developing frameworks for analyzing ethical dilemmas through narrative. Her work on coalition formation games explores stability concepts in both theoretical contexts and real-world applications ranging from competitive gaming ecosystems to military resource allocation. Analysis of her recent publications (2022-2025) reveals a dual trajectory: advancing theoretical foundations in game theory and social choice while simultaneously addressing urgent societal challenges in AI ethics and education. Her scholarship consistently demonstrates how computational social choice principles apply to Pokémon tiering systems, AI certification frameworks, and inclusive classroom practices, with a strong emphasis on social consciousness and fairness in algorithmic design. Goldsmith actively contributes to computer science education through SIGCSE initiatives, developing resources for teaching ethics using fiction and leading discussions on mentoring, diversity, and the societal impacts of AI. Her outreach extends to community engagement within the College of Engineering, focusing on making technical concepts accessible and ethically grounded through interdisciplinary approaches.

• Numerical Analysis
• Optimal Control
• Finite Element Methods
• +9 more

Enrico Bertolazzi is an Associate Professor in Numerical Analysis at the University of Trento's Department of Industrial Engineering. He specializes in numerical methods for optimal control, finite element methods, sparse matrix computations, and symbolic computation. His work integrates advanced programming skills in C/C++, MATLAB, and other languages to develop computational tools for engineering and mathematical challenges. Bertolazzi's research addresses complex systems such as vehicle dynamics, trajectory optimization, and real-time simulations, with applications in automotive engineering, renewable energy, and robotics. Research Interests: Numerical Optimal Control and Trajectory Planning Finite Element/Finite Volume Methods for PDEs Sparse Matrix Algorithms Clothoid Curve Modeling Symbolic-Numeric Hybrid Techniques Vehicle Dynamics and Autonomous Systems Publications: Recent work focuses on real-time tire models, DAE index reduction, and autonomous vehicle path planning. His contributions span algorithm development, computational toolboxes (e.g., TrussMe-Fem), and interdisciplinary applications combining mathematics with engineering. Grants & Advising: Advises on optimal control, robotics, and simulation projects. Active in developing educational software like the virtual racing car championship platform. Labs/Teams: Involved in research groups focused on intelligent vehicles, computational mechanics, and numerical methods for industrial applications.

Larry HuView profile

Assistant Professor

• Sustainable Construction
• Construction Project Management
• Smart Construction Technologies
• +3 more

Dr. Larry Hu is an Assistant Professor in the Department of Building and Construction Management at the School of Design and Built Environment, University of Canberra. His expertise lies in Sustainable Construction, Construction Project Management, and Smart Technologies. Previously, he taught at institutions including Deakin University, Edith Cowan University, and the University of Melbourne. He leads four major research projects, including environmental sustainability education programs and studies on skill shortages in construction sectors. His research focuses on optimizing construction processes through methodologies like Data Envelopment Analysis (DEA) and BIM technology. Key contributions include enhancing sustainability, reducing costs, and improving safety in construction projects. He holds certifications as a First-Class Constructor and Investment Project Management Professional in China, with 8 years of industry experience in roles such as construction management engineer and project consultant. Dr. Hu’s work aligns with UN Sustainable Development Goals, emphasizing cost reduction, carbon reduction, and value creation. His publications span journals like Buildings and Sustainability , covering topics from thermal comfort in urban buildings to smart city development. He actively contributes to academic governance as an editorial board member of Scientific Reports and Journal of Civil Engineering and Construction . Grants & Projects: Includes ACT Government-funded initiatives for digital building hubs and NSW government sustainability education programs. Professional Roles: Member of AUBEA, Australian Institute of Building (AIB), and topical advisory panels for Journal of Sustainability and Journal of Buildings .

Derya AksarayView profile

Assistant Professor

• Robotics
• Control Theory
• Formal Methods
• +4 more

Derya Aksaray is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, where she directs the Dependable Autonomy Lab (DAL). She holds a PhD in Aerospace Engineering from Georgia Tech (2014) and has prior roles as an Assistant Professor at the University of Minnesota (2018-2022), and postdoctoral positions at MIT CSAIL (2016-2017) and Boston University (2014-2016). Her research focuses on control theory, formal methods, and machine learning for robotics and autonomous systems, particularly in uncertain and dynamic environments. Education: PhD, Aerospace Engineering, Georgia Institute of Technology (2014) MS, Aerospace Engineering, Georgia Institute of Technology (2011) BS, Aerospace Engineering, Middle East Technical University (2008) Research Interests: Formal methods for autonomous systems Reinforcement learning with temporal logic constraints Multi-agent coordination and distributed planning Resilient control for robotics and aerospace systems Energy-aware planning for UAVs and heterogeneous systems Lab Activities: The Dependable Autonomy Lab develops theory and algorithms for achieving reliable autonomous robot behaviors, with experimental validation on ground and aerial robots. Current projects include resilient planning under uncertainty, distributed multi-agent systems, and reinforcement learning with formal guarantees. Advising: Prof. Aksaray supervises graduate students in PhD and MS programs, focusing on control theory, formal methods, and robotics applications. Former advisees include Ali Tevfik Buyukkocak (PhD, 2024) and Ryan Peterson (MS, 2020). Professional Affiliations: Member of the American Institute of Aeronautics and Astronautics (AIAA) and Institute of Electrical and Electronics Engineers (IEEE).

Christopher DutchynView profile

Associate Professor

• Programming Languages
• Software Engineering
• Aspect-Oriented Programming
• +6 more

Christopher Dutchyn is an Associate Professor in the Department of Computer Science at the University of Saskatchewan . He holds a Ph.D. and M.Sc. in Computer Science from the University of British Columbia and University of Alberta respectively, and a B.Sc. (honours) in Mathematics. His research spans programming language design and implementation , type theory , category theory , game semantics , and aspect-oriented programming . He has contributed to semantics for dynamic join points, continuation-based models, and multi-dispatch optimization in JVM. His recent publications focus on Aspect-Oriented Programming Programming Language Semantics Compiler Design Modularity in Software Category Theory Applications Multi-Dispatch Systems with citations in ACM, Elsevier, Springer, and Usenix. Scientific awards include Best Student Paper at COOTS 2001 for his work on multi-dispatch performance optimization. Dutchyn has developed open-source tools like AspectScheme and SLaTeX mode for Emacs , and maintains collaborations in programming language theory and software engineering principles.

Junlei HuView profile

Lecturer

• Actuarial Science
• Risk Management
• Insurance Mathematics
• +3 more

Dr. Junlei Hu is a Lecturer in Actuarial Science at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS) within the Department of Mathematical Sciences. He is based at the Colchester Campus. His expertise spans actuarial science, risk management, and insurance mathematics, with a focus on numerical optimization and robust methods in reinsurance. PhD in Actuarial Science , Cass Business School, City, University of London (2018) MSc in Actuarial Science , Cass Business School, City, University of London (2013) MPhil in Economics , University of Oxford (2012) BSc in Economics and Statistics , University College London (2010) His research interests include reinsurance optimization, robust contract design, and numerical techniques for solving complex actuarial problems. He has contributed to advancements in Pareto-optimal insurance contracts, solvency regulations (e.g., Solvency II), and non-convex optimization in risk transfer mechanisms. His work bridges theoretical actuarial models with practical applications in regulatory compliance and risk mitigation. Publications highlight trends in addressing uncertainty in reinsurance, leveraging homotopy optimization methods, and designing contracts under budget constraints. His recent work (2025) explores multivariate risk analysis with dependence uncertainty, reflecting cutting-edge developments in actuarial science. No scientific awards or grants are explicitly mentioned in the provided materials. His teaching and supervision roles are part of his academic responsibilities at the University of Essex, though specific student advisees are not listed.

Ursula EickerView profile

Professor

• Urban energy systems
• 3D City modeling
• Urban data and simulation platform development
• +7 more

Prof. Ursula Eicker is the Canada Excellence Research Chair in Smart, Sustainable and Resilient Cities and Communities at Concordia University , leading cutting-edge research in urban energy systems. Her work integrates 3D city modeling, renewable energy systems, and sustainable transport to develop zero-carbon city strategies. PhD in Solid State Physics (Heriot-Watt University) Habilitation in Renewable Energy Systems (Technische Universitat Berlin) Research Interests focus on urban simulation platforms, district energy networks, and climate-resilient infrastructure. The INSEL4Cities platform enables holistic urban modeling for building demands, transportation, and greenery. Her Residential Densification studies demonstrate 65% energy reduction through retrofits and solar integration. Recent publications explore urban solar shading , transactive energy systems , green infrastructure equity , and decentralized hydrogen production . Awards include the German-African Innovation Incentive and recognition for photovoltaic research in Egypt. Over 50 graduate students in her lab examine zero-carbon pathways. Teaches ENCS 691 on urban energy systems. Secured 10M CAD for the CERC chair and multiple grants. Co-Director of Concordia's Next Generation Cities Institute .

Yong ZhengView profile

Associate Professor

• Data Science
• Machine Learning
• Artificial Intelligence
• +7 more

Dr. Yong Zheng is an Associate Professor and tenured faculty member in the Department of Information Technology and Management (ITM) at the College of Computing, Illinois Institute of Technology. He holds a Ph.D. in Computer and Information Sciences from DePaul University. His research focuses on Data Science, AI, Recommender Systems, and Human-Centric Computing. He directs the Center for Decision Making and Optimization (DMO) and co-directs the ITM PhD program. Dr. Zheng’s academic roles include service as General Chair for ACM HT 2025, Track Co-Chair for multiple conferences, and editorial roles at journals like Education and Information Technologies (EAIT) and Frontiers in Big Data. He has received awards such as the Springer Nature Editorial Contribution Award (2025) and NSF grants for conference participation and research. His research spans multi-objective optimization in finance, context-aware recommendations, educational technologies, and FinTech. He has developed open-source libraries like CARSKit, DeepCARSKit, and MOPO-LSI. His work has been published in top venues including ACM RecSys, IUI, and SIGIR. Dr. Zheng teaches courses in Data Science, AI, and Applied Data Analytics. He advises numerous PhD and master’s students, focusing on topics like multi-criteria recommendations and financial systems. His industry collaborations include roles at Pandora Media and Morningstar, Inc.

Isambo KaraliView profile

Assistant Professor

• Knowledge Representation and Reasoning with Uncertainty
• Artificial intelligence
• Logic Programming
• +10 more

Isambo Karali is an Assistant Professor in the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, a position she has held since November 2007. Prior to this, she served as a Lecturer at the same department from September 1999 to November 2007. Her academic career spans over three decades with significant contributions to knowledge representation, uncertainty reasoning, and semantic web technologies. Dr. Karali's educational background includes: PhD in Informatics (1995) from the University of Athens MSc in Computer Science (1988) from University College, University of London Bachelor of Mathematics (1986) from the Department of Mathematics, University of Athens Dr. Karali's research focuses on Knowledge Representation and Reasoning with Uncertainty, Artificial Intelligence, Logic Programming, and Object-Oriented Programming. She has made significant contributions to applying Dempster-Shafer theory for handling uncertainty in Semantic Web applications. Her work bridges theoretical foundations of logic programming with practical applications in knowledge representation, particularly in distributed and heterogeneous environments. She has supervised numerous PhD and master's theses in these areas. Her recent publications demonstrate a strong trend toward integrating uncertainty reasoning with Semantic Web technologies, particularly using Dempster-Shafer theory and fuzzy logic. Her work addresses challenges in managing imprecise and uncertain information in large-scale knowledge systems, with applications in recommendation systems, news analysis, and semantic search. The interdisciplinary nature of her research connects artificial intelligence, knowledge representation, and web technologies to solve complex information management problems. Dr. Karali has been actively involved in research funding and collaboration: Principal Investigator for "Handling uncertainty in data intensive applications on a distributed computing environment (cloud computing)" under the "Thalis" Program Scientific Responsible for "Artificial Intelligence and Logic Programming Techniques for Knowledge on the World Wide Web" at the National and Kapodistrian University of Athens Scientific Responsible for "Semantic Web and Logic Programming - Application to Guided Search" at the National and Kapodistrian University of Athens Participant in multiple EU research projects including MISSION, COSMOS, ADDSIA, PARACHUTE, APPLAUSE, and EDS As an educator, Dr. Karali has taught core undergraduate courses including Object-Oriented Programming and Logic Programming, as well as graduate courses on Knowledge Technologies and Artificial Intelligence. She has supervised numerous PhD and master's students, with a focus on uncertainty reasoning, semantic web technologies, and logic programming applications. Her mentorship extends to student competitions, including guiding the Department's team in the Microsoft ImagineCup 2009. Dr. Karali has also contributed to the academic community through service activities, including membership on program committees for conferences like IEEE ICTAI, reviewer for prestigious journals, and organizational roles in academic events. From 2000 to 2012, she was responsible for the Department's website, contributing to its architecture design and system development.

• Operating Systems
• Fault Tolerance
• Cyber-Physical Systems
• +5 more

Marcus Völp is an Associate Professor and head of the CritiX research group at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). His research focuses on ultra-reliable operating systems, fault and intrusion tolerant systems for cyber-physical environments, and hierarchical hybridization techniques to construct resilient computing platforms. His work bridges theoretical foundations with practical implementations, particularly in developing dependable systems-on-chip that can withstand faults and intrusions. Research spans formal verification methods, radiation-hardened hardware, blockchain security, and autonomous vehicle safety systems. Recent publications demonstrate advancement in parameterized system verification, radiation effects on routers, and N-version machine learning for autonomous systems. His group maintains strong focus on practical resilience mechanisms for real-time and critical systems across computing layers.

John ReuterView profile

Adjunct Professor

• Photography
• Polaroid Imaging
• Alternative Photographic Processes
• +7 more

John Reuter is an Adjunct Professor of Photography at the Hartford Art School, University of Hartford, where he teaches courses in analog and digital photography as well as cinema studies. He also serves as Director of the 20x24 Studio, preserving the legacy of large-format Polaroid photography and ensuring continued availability of film for artists. Reuter received his undergraduate education at SUNY Geneseo and completed graduate studies at the University of Iowa, earning two master's degrees including an MFA in 1978. His academic journey was significantly influenced by professors Michael and Rosemary Teres, who encouraged his experimental approach to photography and painting. Specializing in experimental photographic processes, Reuter is internationally recognized for his innovative work with Polaroid materials. His research spans Polaroid SX-70 constructions combining photography with painting and collage, Polacolor image transfers that manipulate film dyes, large-format 20x24 photography, and digital imaging techniques. His artistic practice consistently challenges conventional boundaries of the photographic medium through physical manipulation of film materials and creative integration of digital workflows. His publications and creative works demonstrate a consistent evolution from physical manipulations of film in the 1970s-1990s to digital workflows while maintaining focus on the tactile qualities of image-making. The recurring theme across his career is the exploration of instant photography's artistic potential through material experimentation and technical innovation. As Director of the 20x24 Studio, Reuter has maintained this specialized photographic process through Polaroid Corporation's bankruptcy, working with artists like William Wegman, Chuck Close, and Joyce Tenneson while ensuring the continuation of 20x24 film production through collaborations with Elsa Dorfman and others.