Mengxiang Liu is a UKRI Postdoctoral Fellow at Imperial College London's Faculty of Engineering, Department of Electrical and Electronic Engineering. He collaborates with Dr. Fei Teng and Prof. Thomas Parisini in his current role, focusing on cyber-resiliency enhancement for low-carbon power systems. Education: Ph.D. in Electrical Engineering from Zhejiang University (2022), co-supervised by Prof. Jiming Chen, Prof. Peng Cheng, Prof. Ruilong Deng, and Dr. Chengcheng Zhao. Bachelor's degree from Tongji University (2017). His research specializes in physics-aware methodologies integrating control theory, networking, and machine learning to improve power systems' detection, mitigation, and recovery capabilities against high-impact, low-probability cyberattacks. This aligns with the increasing penetration of distributed energy resources in modern grids. Scientific contributions and leadership are recognized through the prestigious UKRI Postdoctoral Fellowship .
Steve Wilson is an Assistant Professor in the Department of Computer Science, Engineering, and Physics at the University of Michigan-Flint, within the College of Innovation and Technology. He holds a PhD in Computer Science & Engineering from the University of Michigan and has previously served as an Assistant Professor at Oakland University and held postdoctoral positions at the University of Edinburgh and the University of Michigan. PhD | 2019 | University of Michigan | Computer Science & Engineering M.S. | 2015 | University of Michigan | Computer Science & Engineering B.Sc. | 2013 | Taylor University | Computer Science/Systems His research focuses on understanding online communication through Natural Language Processing, with emphasis on social context, information literacy, social media narratives, and educational applications. His work bridges computer science, psychology, and social informatics to analyze human behavior in digital environments. The most recent publications highlight a strong trend in using NLP for social good, including detecting misinformation, analyzing educational discourse, improving AI ethics, and understanding social dynamics such as sarcasm, offensive language, and user profiling. His work frequently appears in top venues like ACL, EMNLP, ICWSM, and SemEval, often in collaboration with leading researchers such as Rada Mihalcea and Walid Magdy. MWIN Faculty Innovation Fellow | 2025 | UM-Flint’s Office of Economic Development and EDA University Center for Community and Economic Development UM-Flint Proposal Academy Awardee | 2025 | University of Michigan-Flint Office of Sponsored Research Projects Steve Wilson is the Principal Investigator (PI) on multiple funded research projects, including a National Science Foundation CRII grant on social media framing and an internal UM-Flint grant on AI in STEM education. He co-investigates an NSF REU site on Home Health Technology. He leads the CoCoA Lab at UM-Flint, which focuses on computational analysis of communication and context. He mentors graduate students and is actively involved in developing new courses, including a recent offering in Natural Language Processing.
Chiara Mocenni is an Associate Professor of Systems and Control at the Department of Information Engineering and Mathematical Sciences (DIISM) of the University of Siena. She teaches Game Theory and Complex Dynamic Systems in graduate programs including Artificial Intelligence, Automation, Applied Mathematics, and Engineering Management. She has been a fellow of the Center for the Study of Complex Systems since 2000 and founded the Complex Systems Community research network. From 2013–2016, she was a Special Visiting Researcher at Brazil's Instituto Nacional de Matemática Pura e Aplicada (IMPA), developing evolutionary game models for biological and socio-economic phenomena. Education Laurea Degree in Mathematics, University of Siena (1992) PhD in Physical Chemistry with a thesis on mathematical modeling of ecological systems Research Focus Her interdisciplinary research spans Complex Systems , Evolutionary Games on Networks , and Nonlinear Dynamics , with applications ranging from neuroscience to environmental monitoring. Key domains include: Modeling cooperation/self-regulation in social networks Biological system analysis via unmanned aquatic vehicles Addiction remission through behavioral economics EEG-based brain dynamics analysis Publication Trends Her recent work (2019–2022) demonstrates strong emphasis on evolutionary game theory applied to societal cooperation mechanisms, neurobehavioral modeling, and environmental robotics. Publications consistently integrate mathematical rigor with empirical applications in psychology, materials science, and ecology, showcasing cross-disciplinary innovation. Academic Leadership Founded the University of Siena's Complex Systems Community Regular collaboration with international institutions (e.g., IMPA Brazil) Open-door policy for student consultations beyond scheduled office hours
Niko Sünderhauf is a Professor in the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT), specializing in robotics, computer vision, and autonomous systems. His research spans visual place recognition, simultaneous localization and mapping (SLAM), neural radiance fields, and out-of-distribution detection for robotics applications. His research interests focus on enabling robots to understand and navigate complex environments through advanced computer vision techniques. He has made significant contributions to visual place recognition, particularly for handling viewpoint and environmental changes. His work on switchable constraints has improved robustness in SLAM systems, while his more recent research explores neural radiance fields, Gaussian splatting, and integrating large language models with robotic perception. Prof. Sünderhauf's publication record demonstrates consistent research productivity with 115 publications spanning from 2005 to 2025. His recent work shows a clear progression from traditional SLAM techniques toward more advanced neural scene representations and integration with large language models. His research has been published in top venues including IEEE ICRA, CVPR, IROS, and the International Journal of Robotics Research. Among his scientific contributions are novel approaches to visual place recognition that work across seasons and viewpoints, robust SLAM techniques that handle outliers and non-linearities, and recent innovations in neural scene representations for robotics. His work on switchable constraints has been particularly influential in the robotics community. Prof. Sünderhauf actively supervises PhD students including Dimity Miller, Krishan Rana, and Jad Abou-Chakra, who frequently appear as first authors on publications. His collaborative network includes researchers from QUT and international institutions, demonstrating strong research leadership in the robotics community.
Liisa Byberg is a Professor and Head of the Department of Surgical Sciences at Uppsala University. She specializes in Medical Epidemiology with her research office located at EpiHub - a network for epidemiological research within the disciplinary domain of medicine and pharmacy. Her research focuses on medical epidemiology with particular emphasis on: Bone health and fracture risk epidemiology Cardiovascular disease risk factors and outcomes Nutritional epidemiology, particularly examining dairy products, Mediterranean diet, and meat consumption Application of Mendelian randomization methods to establish causal relationships Large-scale cohort studies and register-based research Analysis of Professor Byberg's extensive publication record (spanning over 15 years with publications through 2025) reveals a consistent research trajectory examining the complex relationships between nutrition, physical activity, and health outcomes. Her work frequently investigates how dietary patterns affect bone health and fracture risk, with particular attention to milk consumption, Mediterranean diet, and fruit/vegetable intake. She has pioneered research on the seasonal variations in vitamin D effects on bone mineral density and has made significant contributions to understanding the relationship between cardiovascular disease and fracture risk. Professor Byberg leads research at EpiHub and collaborates extensively with researchers across Uppsala University and internationally. Her work bridges clinical medicine and population health research, with important implications for public health recommendations regarding nutrition, physical activity, and bone health in aging populations.
Gabriel M. Peña is an Assistant Professor of Theatre at Southwestern University, specializing in performance and acting. He holds a B.A. in Theatre from Pomona College and an M.F.A. in Acting from Pennsylvania State University. His professional performance experience spans contemporary plays, Shakespeare, musicals, devised works, film, and voice acting, with international engagements including performances at ACT San Francisco, Ireland's Gaiety Theatre, and South Africa's National Arts Festival. Peña's research focuses on integrating somatic practices—particularly Moshe Feldenkrais' Awareness Through Movement—into actor training methodologies. He explores interdisciplinary approaches for 21st-century performers, examining intersections between performance and fields like philosophy, border studies, and character development. His innovative work examines how physical therapy techniques can enhance artistic expression. Professor Peña maintains active professional collaborations, most recently directing Adam Gwon's chamber musical Ordinary Days for Penfold Theatre. He mentors students through production opportunities, including technical roles for theatre majors and minors. His office is located in FAC 307, and he can be contacted at pena7@southwestern.edu or 512.863.1234.
Chen Zeng is an Assistant Professor of Teaching in the Department of Mechanical and Aerospace Engineering at the University at Buffalo. Their research focuses on autonomous robotics, multidisciplinary optimization, and advanced UAV systems design. Dr. Zeng holds a PhD in Mechanical Engineering from the University at Buffalo (2022), an MS in Mechanical Engineering from the same institution (2018), and a BS in Geophysics and Seismology from Tongji University (2015). Key research areas include space debris capture systems using tether-net technologies, cyber-physical systems control, and bio-inspired design for unmanned aerial vehicles. Their work bridges robotics, aerospace engineering, and machine learning to develop intelligent systems with robust operational capabilities. Recent studies emphasize optimizing system performance under uncertainties and creating physics-aware learning frameworks. Publications highlight contributions to concurrent design optimization of robotic systems, program synthesis for embedded systems, and multi-modal sensing for autonomous vehicles. Dr. Zeng's research demonstrates a strong focus on practical applications in aerospace and robotics, with a particular interest in real-world challenges like space debris mitigation and swarm intelligence.
Prof. W.P.M.H. (Maurice) Heemels is a Full Professor at the Eindhoven University of Technology in the Mechanical Engineering department, leading the Control Systems Technology group. His work focuses on hybrid systems , networked control , and model predictive control (MPC) with applications in cyber-physical systems , precision agriculture , and cancer treatment optimization . PhD in Mathematics (1999) and MSc in Mathematics (1995) from TU/e Assistant Professor at TU/e Electrical Engineering (2000-2004) Research Fellow at Embedded Systems Institute (2004-2006) His research addresses resource-aware control strategies to replace traditional time-triggered systems with event-triggered schemes , enabling efficient use of computational and communication resources. Applications span automated driving , precision agriculture , thermal control in lithography , and nuclear fusion reactors . He has developed innovative hybrid integrator-gain systems (HIGS) and reset controllers to overcome limitations of linear time-invariant controllers. Model predictive control is a core methodology, applied to hyperthermia treatments, wafer scanner thermal control, and drone-based farming systems. His 2025 publications emphasize networked control for nuclear fusion, safety-critical MPC in autonomous vehicles, and data-driven control barrier functions for nonlinear systems. Key trends include hybrid systems theory , resource-aware control , and scalable optimization for large-scale applications. 2025: DISC PhD Award for Stefan Heijmans 2019: EECI European PhD Award for Victor Dolk 2017: Best Paper Award @ EBCCSP Conference 2014: Automatica Outstanding Service Award 2000: ASML-award for best fundamental PhD thesis He has supervised 88+ students and secured over 7 MEuro in research funding from NWO, EU, and industry. His Control Systems Technology group operates labs including the Automotive Engineering Science Laboratory and Robotics Laboratory , contributing to the UN Sustainable Development Goals for sustainable cities and climate action through cyber-physical systems.
Fraser Scott is a Reader in Pure and Applied Chemistry at the University of Strathclyde. He holds a PhD and MSci in Chemistry from Strathclyde (2012) alongside degrees in Mathematics, Statistics, and Computing from the Open University. His academic journey includes roles as Senior Lecturer at the Universities of Lincoln and Huddersfield before returning to Strathclyde as a Chancellor's Fellow (2019), later promoted to Senior Lecturer (2021) and Reader (2024). Dr. Scott’s research focuses on anti-infective drug discovery, particularly developing Strathclyde Minor Groove Binders (S-MGBs) against bacterial, fungal, and parasitic infections. He also leads STEM education initiatives, emphasizing numeracy, career pathways, and equality in science education. His work aligns with UN Sustainable Development Goals related to health and education. Education: MSci(Hons) & PhD (Chemistry) – University of Strathclyde; BA(Hons) (Mathematics & Statistics) & BSc(Hons) (Computing) – Open University; PGDE & MEd (Education Studies). Key Projects: Includes a Medical Research Council-funded study on multi-target DNA-binding agents, a UK-Thailand health engineering collaboration, and Royal Society of Chemistry-funded soil safety outreach in Scottish schools. He is a Fellow of the Royal Society of Chemistry and recipient of the European Crucible Scottish Cohort award (2021). His teaching spans university and secondary school levels, with expertise in pedagogical strategies, employability skills, and inquiry-based learning. Notable collaborations include work with Mycobacterium tuberculosis and Acanthamoeba castellanii pathogens, alongside projects enhancing science education through augmented reality and green chemistry practices. Dr. Scott actively engages in public outreach, policy discussions, and international academic networks.
Duane Boning is the Clarence J. LeBel Professor of Electrical Engineering and Computer Science at MIT, where he serves as Associate Director of the Microsystems Technology Laboratories (MTL) and Engineering Faculty Co-Director of the Leaders for Global Operations (LGO) program. His research develops computational methods for semiconductor manufacturing and photonics design. Research focuses on: Machine learning applications in nanoscale fabrication Variation-aware optimization of photonic devices Bayesian modeling for semiconductor process control Analog neural network hardware implementations He recently led MIT's Machine Intelligence for Manufacturing & Operations (MIMO) initiative, creating industrial research partnerships. In 2024, he was appointed Vice Provost for International Activities to advance MIT's global research collaborations.
Gamze Dane is a tenured Assistant Professor at the Department of Built Environment of Eindhoven University of Technology (TU/e). She is also affiliated with EAISI Mobility and EAISI Health. Additionally, she served as a Principal Investigator of the Digital City Program of Urban Development Initiative (UDI) between 2020 and 2024. Her work focuses on integrating citizens in urban transformation processes through digital tools and data-driven approaches. Dr. Dane has a strong interdisciplinary background with a Ph.D. in "Urban Planning" and an MSc. in "Geographical Information Systems (GIS) and Decision Making". Her educational qualifications provide the foundation for her research at the intersection of urban planning, GIS, and data analytics. Dr. Dane's research centers on three key areas: (i) developing methods and digital tools as design and decision support systems for public participation in urban transformations; (ii) performing urban (big) data science within people as sensors concept for understanding citizens' behaviors; and (iii) investigating the impact of digitalization on sustainable urban developments. She employs approaches like VR-based digital twins, web platforms, and information dashboards to create citizen-centered solutions for urban challenges. Her recent publications reveal a strong focus on immersive virtual reality applications for urban planning, agent-based modeling of pedestrian behavior, and digital tools for citizen engagement. There's a clear trend toward using advanced computational methods and virtual environments to understand human-environment interactions and improve urban design processes. Dr. Dane has received several prestigious awards including: Best Poster Award at 19th International Conference on Computational Urban Planning and Urban Management (2025) Cuperusprijs 2020 - 2nd place for master thesis of student Kim Raijmakers Dutch Design Week Drivers of Change Exhibition (2021) ISPRS International Journal of Geographic Information Cover Story of November 2020 As an educator, Dr. Dane supervises PhD, PDEng, master's, and bachelor's students in urban planning and urban informatics. She has led multiple education innovation projects, developing online teaching materials and integrating emerging technologies like VR, online mapping tools, GPS, drones, and mobile apps into curriculum activities. Her grant portfolio includes significant projects such as CARE (NWO funded), EQUAL (EWUU Alliance), I BELONG, HEADS 4 Health, Future Foodscapes, Dutch Societal Innovation Hub (EU Commission), CoHeSIVE, and several Horizon 2020 projects including CLIC and ROCK. Dr. Dane is involved with several research groups and labs including the Real Estate and Urban Development group, Information Systems Built Environment group, EAISI Mobility, and EAISI Health. She leads the UBeX Urban Behavior eXtended reality lab (2024-2026) and has been instrumental in establishing virtual reality applications for urban planning and citizen engagement.
Prof. A.D. Pimentel holds a full professorship at the Informatics Institute of the University of Amsterdam, leading the Parallel Computing Systems (PCS) group within the Systems and Networking Lab. His research focuses on multi-core and multi-processor systems, emphasizing performance, energy efficiency, dependability, and productivity in system design and runtime management. He earned his PhD and MSc in Computer Science from the University of Amsterdam in 1998 and 1993, respectively. Current roles: Chair of PCS group, Board member of Advanced School for Computing and Imaging (ASCI), and ICT Research Platform Nederland (IPN) Teaching: Courses on Multi-core Processor Systems, Embedded Software, and Architecture Research interests span edge AI, sustainable computing, and system-level modeling. Recent work includes innovations in energy-efficient scheduling, thermal management in 3D-stacked systems, and adaptive CNN inference at the edge. Over 25 years of contributions to embedded systems design space exploration and hardware/software co-design have been recognized through awards like the IEEE CEDA Outstanding Service Award (2025). Awards: IEEE DATE Fellow (2025), NWO Knowledge & Innovation Covenant grant lead Active in conference organization, serving as General Chair for Embedded Systems Week (2026) and Design Automation and Test in Europe (DATE 2024). Engages in cross-disciplinary projects like improved secure semiconductor evaluation (ISSE) and energy labeling for digital services.
Arunselvan Ramaswamy is a Senior Lecturer in Data Science, AI, and Machine Learning Research at Karlstad University. His research focuses on the intersection of Computer Science and Mathematics, with primary interests in reinforcement learning, multi-agent systems, stochastic optimization, and control theory. He has held prior roles as Lecturer at Paderborn University and Junior Research Head at the Heinz Nixdorf Institute, Germany. His work spans theoretical foundations of learning algorithms and practical applications in cyber-physical systems, wireless sensor networks, and Industry 4.0. Key contributions include distributed optimization frameworks, reinforcement learning for autonomous systems, and stability analysis of stochastic approximation methods. He has published widely in top venues such as IEEE Transactions on Automatic Control, NeurIPS, and IFAC conferences. Ramaswamy has contributed to interdisciplinary projects including automated side-channel detection in cryptographic protocols and deep reinforcement learning for microgrid control. His teaching includes courses on machine learning fundamentals and project-based ML applications at Karlstad University. Research highlights include developing the DeepCAS algorithm for control-aware scheduling, analyzing convergence properties of distributed optimization under communication constraints, and exploring gradient-based methods with unbounded delays. Current work emphasizes scalable multi-agent learning and explainable AI systems.
Wei Zhang is a Research Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His work focuses on advancing medical imaging technologies for radiation therapy, including ionizing radiation acoustic imaging (iRAI) for real-time dosimetry and treatment guidance. He also explores interdisciplinary areas like wireless power transfer systems and machine learning applications in healthcare. PhD in Biomedical Engineering His research interests include radiation dosimetry, multimodal imaging techniques (e.g., ultrasound and X-ray combinations), and their clinical applications in cancer therapy. He has pioneered the development of iRAI for volumetric dose mapping during radiotherapy, enabling precise treatment monitoring deep within tissues like the liver. Additional interests span driver behavior prediction systems and energy-efficient wireless charging solutions. Dr. Zhang received the BEST IN PHYSICS (THERAPY) Award in 2020 for his work on FLASH radiotherapy dosimetry. His contributions bridge biomedical engineering, physics, and clinical oncology, with a focus on translating innovations into practical clinical tools. He advises on grants related to medical imaging and energy systems, though specific grant details are not listed here. His lab is part of the Biomedical Engineering department’s advanced imaging and therapeutic technologies initiatives.
Dr. Rachel Latham is a Postdoctoral Research Associate at the Social Genetic and Developmental Psychiatry Centre within King’s College London’s School of Mental Health & Psychological Sciences. She joined the Centre in 2017, focusing on understanding risk and resilience factors in children exposed to adversity such as abuse, neglect, and bullying. Her work bridges psychology, public health, and policy, with a strong emphasis on translating research into practical interventions. Latham holds a BSc and PhD in Psychology from the University of Sussex, complemented by frontline social work experience in Brighton and Hove Children’s Services. Prior to her current role, she contributed to research at the Early Intervention Foundation and Goldsmiths, University of London. Her research interests include childhood victimization’s impact on mental health, parenting dynamics, coparenting relationships, and environmental factors like air pollution and neighborhood deprivation. She leads projects such as the Environmental-Risk (E-Risk) Study, examining long-term effects of adversity and developing tools like individualized risk calculators for psychopathology. Key publications highlight her contributions to understanding protective factors against psychopathology, the role of supportive adults in mitigating trauma, and air pollution’s mental health implications. Her work appears in journals like Journal of Child Psychology and Psychiatry and Development and Psychopathology .
