Dr. Patrick S. Market is a Professor of Atmospheric Science and currently serves as the Director of the School of Natural Resources at the University of Missouri. He also acts as Interim Co-Director of the Missouri Water Center. His research focuses on synoptic and mesoscale dynamics, particularly winter weather, heavy rainfall, flash flooding, and severe local storms. He has contributed to advancements in precipitation efficiency studies and operational forecasting techniques. His work explores the role of artificial intelligence in weather prediction and communication, emphasizing the continued importance of human expertise in an automated forecast process. Dr. Market has secured grants for data stream maintenance and digital equity planning, and he has led educational initiatives integrating research into synoptic meteorology classrooms. Notable collaborations include projects with the National Weather Service and studies on the Ozark Plateau's topographical influence on weather systems.
Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.
Xin Peng is a Professor and Deputy Dean at the School of Computer Science, Fudan University, China. He leads the CodeWisdom research team focusing on intelligent software engineering techniques for development, maintenance, and operation of software systems. His educational background includes a PhD in Computer Science (2001-2006) and Bachelor's degree in Computer Science (1997-2001), both from Fudan University. He progressed through the academic ranks from Assistant Professor (2006-2010) to Associate Professor (2010-2015) and finally to Professor (2015-present). Professor Peng's research interests span Software Analytics, Intelligent Software Development, Microservice systems, and AIOps. His work leverages AI technologies including deep learning and knowledge graphs to develop intelligent software engineering techniques. A significant portion of his recent work focuses on applying Large Language Models to various software engineering tasks, including vulnerability detection, API usage analysis, and test automation. His publication record shows a clear trend toward increasingly sophisticated applications of AI in software engineering, with recent work heavily featuring LLMs for tasks ranging from vulnerability patch porting to resource leak detection. The research spans multiple domains including microservice systems, automotive software, and Web of Things security. Best Paper Award of ICSM 2011 ACM SIGSOFT Distinguished Paper Award of ASE 2018 and 2021 IEEE TCSE Distinguished Paper Award of ICSME 2018, 2019, and 2020 IEEE Transactions on Software Engineering Best Paper award for 2018 Professor Peng serves in numerous leadership roles including Deputy Director of CCF Technical Committee on Software Engineering, Co-Editor-in-Chief of Journal of Software: Evolution and Process, and Associate Editor for ACM Transactions on Software Engineering and Methodology. He has been actively involved in program committees for major software engineering conferences including ICSE, ASE, ESEC/FSE, and ICSME. He leads the CodeWisdom research team at Fudan University, which has developed several benchmark systems including TrainTicket for microservice research. The team's work bridges academic research with industrial applications, particularly in microservice systems analysis and intelligent software development tools.
Dr. Frederic Bosche is a Reader in Construction Informatics at the University of Edinburgh's School of Engineering, leading the CyberBuild Lab. His research focuses on advancing digital construction technologies, including BIM, sensing systems, and digital twinning to enhance infrastructure management and workforce safety. Education: PhD in Civil Engineering (University of Waterloo), M.Sc. from University of Texas at Austin, and M.Eng. from Ecole Centrale de Lille. Research interests include automated construction processes, data-driven infrastructure lifecycle management, and integrating emerging technologies like AI and IoT into construction workflows. His CyberBuild Lab has pioneered projects in defect detection, roof monitoring, and smart construction inspection. Notable contributions include over 100 publications, 12 research projects (e.g., 'Digital Facility' and 'Monitoring Roofs of Traditional Buildings'), and awards such as the Charles M. Eastman Top PhD Paper Award. He actively engages in public outreach through science festivals and collaborates internationally with institutions like ETH Zurich and Heriot-Watt University.
Professor Jyh-Hone Wang holds a faculty position in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island (URI). His research focuses on transportation human factors, driving safety, and intelligent transportation systems, with particular emphasis on variable message sign (VMS) design, driver behavior analysis, and automation technology acceptance in elderly drivers. He has conducted studies on dynamic message sign efficacy, traffic flow management, and roadway safety improvement strategies. Education: Ph.D. and M.S. in Industrial Engineering from the University of Iowa (1989 and 1986), and B.S. in Industrial Engineering from Tunghai University, Taiwan (1980). Recent grants include a 2020 National Institute for Undersea Vehicle Technology grant (Co-PI) on stress monitoring via wearable devices, and a 2017 Rhode Island Department of Transportation grant (PI) assessing sidewalk quality compliance. His work bridges engineering principles with human factors to enhance traffic safety and transportation efficiency. Key research contributions include optimizing VMS message design for clarity, analyzing driver responses to automation levels, and addressing tailgating issues through behavioral interventions. He has advised multiple graduate students and collaborated on interdisciplinary projects involving traffic data analysis and manufacturing process optimization.
Summary Associate Professor Mehrdad Arashpour is an internationally recognized researcher and educator in construction and civil infrastructure, focusing on automation and information technologies. He leads the ASCII Lab at Monash University's Department of Civil and Environmental Engineering. His academic roles include Head of Construction Engineering and membership in the CIB's Working Commission on Off-site Construction (W121) and Infrastructure Task Group (TG91). Education: Ph.D., RMIT University, Australia M.Sc., Grenoble University, France B.Sc., IU University, Iran Research Interests: Digital twins, computer vision, robotics, BIM integration, sustainable construction, and automation in construction processes. His work contributes to UN Sustainable Development Goals, particularly in sustainable cities and communities. Grants & Awards: Over $6M in grants from ARC, Austroads, and industry partnerships. Recognitions include Editor's Choice Paper (ASCE, 2019) and Outstanding Reviewer (Elsevier, 2016). Teaching: Courses like Risk Management in Engineering Projects and Infrastructure Research Project. Advises on PhD topics in computer vision, robotics, and BIM. Labs & Collaborations: ASCII Lab focuses on smart, sustainable solutions for construction. Collaborates with global researchers and organizations like SPARC Hub and Building 4.0 CRC.
Wenchao Li is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University, directing the Dependable Computing Laboratory. He holds a B.S., M.S., and Ph.D. in Electrical Engineering and Computer Sciences, along with a B.A. in Economics from UC Berkeley. His research focuses on dependable computing, applying formal verification, machine learning, and control theory to cyber-physical systems, electronic design automation, and AI safety. Key research interests include neural network verification, safe reinforcement learning, autonomous systems security, and resilient control strategies for connected vehicles. His work emphasizes provable safety guarantees and defense against adversarial attacks in critical infrastructure systems. Notable awards include the ACM Outstanding Ph.D. Dissertation Award and the Leon O. Chua Award. His lab investigates topics such as neural network repair, secure multi-robot coordination, and formal methods for autonomous systems. He advises students like Jiameng Fan and collaborates on projects funded by grants in AI safety and cyber-physical systems. Labs/Teams: Dependable Computing Laboratory Grants: Focus on formal verification, AI safety, and autonomous systems resilience
Lokukaluge Prasad Perera is a Professor in Maritime Technology at UiT The Arctic University of Norway and a Senior Research Scientist in Smart Data at SINTEF Digital . He holds a BSc in Mechanical Engineering from Oklahoma State University (1999), MSc in Systems & Controls from the same institution (2001), and a PhD in Naval Architecture and Marine Engineering from Technical University of Lisbon (2012). His research focuses on Maritime and Offshore Systems , Advanced Data Analytics , Autonomous Navigation , Energy Efficiency , and Digital Twin Applications . He has published over 100 peer-reviewed papers and was recognized in the World's Top 2% Scientists (2021-2022) by Stanford University. Key professional experiences include roles at SINTEF Ocean (2014–2017), Center for Marine Technology and Engineering in Portugal (2008–2012), and Wärtsilä Finland (2012–2014). He has also held academic positions at Naval & Maritime Academy and Ocean University of Sri Lanka . His work addresses challenges in emission reduction , renewable energy integration , and safety-critical systems for maritime operations. Current projects emphasize trustworthiness of autonomous ships and data-driven decision frameworks for energy efficiency.
Steven Hall is an Assistant Professor and Extension Specialist in the Department of Plant and Agroecosystem Sciences at the University of Wisconsin-Madison (UW-Madison), College of Agricultural & Life Sciences. Previously, he held roles as Assistant and Associate Professor in the Department of Ecology, Evolution, and Organismal Biology at Iowa State University. His research focuses on agroecosystem water quality, soil carbon dynamics, and nutrient management in agricultural landscapes, with an emphasis on how redox conditions, geochemical factors, and microbial communities influence carbon sequestration and greenhouse gas emissions. He obtained a PhD in Ecosystem Science from UC Berkeley and MS/BS degrees from UW-Madison in Environment and Resources/Botany, respectively. His educational background includes studies at the University of California-Berkeley (PhD, Ecosystem Science), University of Wisconsin-Madison (MS, Environment & Resources; BS, Botany). Research priorities include evaluating conservation practices, crop diversification, and novel fertilizer technologies for environmental benefits. The Hall Lab employs mesocosm experiments, isotopic tracing, and continental-scale datasets to address challenges in climate-smart agriculture and water quality preservation. Research highlights include groundbreaking work on iron-driven carbon decomposition mechanisms, microbial controls on lignin mineralization, and nitrous oxide emissions from tile-drained soils. Recent studies emphasize the role of poorly drained depressions as nutrient leaching hotspots and the unexpected carbon losses from anaerobic soils, challenging existing biogeochemical models. Advising and grants involve mentoring current graduate students (Moira Keith, Hariom Yadav) and undergraduate researchers. Opportunities to join his lab depend on funded projects. Collaborations include the International Soil Radiocarbon Database (ISRaD) and partnerships with institutions like the Savanna Institute. The lab is situated in Moore Hall, Plant Sciences Building, with outreach activities through UW-Madison's extension programs. Key infrastructure includes automated gas flux measurement systems and soil block mesocosms. Ongoing work integrates machine learning with NEON soil data to model organic carbon dynamics, while field studies explore digestate amendments and biochar impacts. His research bridges laboratory experiments with landscape-level observations to inform sustainable agricultural practices.
Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.
Liza M. Roger is an Assistant Professor in the School of Molecular Sciences at Arizona State University (ASU) and a Senior Global Futures Scientist at the Global Futures Scientists and Scholars Program. She is affiliated with the School of Ocean Futures and works at the Walton Center for Planetary Health. Education: Ph.D. in Marine Biology and Geochemistry (University of Western Australia, 2017) B.Sc. Hon. in Marine Biology and Natural Resources Management (University of Western Australia, 2011) Associate’s Degree (Université du Littoral Côte d’Opale, France, 2006) Her research explores how environmental change affects marine organisms in symbiotic relationships with microscopic algae, such as corals, mollusks, anemones, and jellyfish. She pioneers coral in vitro methodologies to advance understanding of symbiosis, biomineralization, and stress adaptation. Recent publications highlight her work on nanotechnology for coral reef conservation, thermal stress mitigation using engineered nanoceria, and interdisciplinary collaborations merging art with coral research. Her studies also address trace metal roles in coral nutrition, insulin signaling pathways, and innovative imaging techniques to monitor coral health. Scientific Awards: NSF’s 2021 Coral Bleaching Research Coordination Network Early Career Training Program Award VCU’s 2021 Postdoctoral Independent Research Award Liza’s multidisciplinary approach integrates expertise from oceanography, biochemistry, nanoscience, and sustainability. She previously worked at the Australian Institute of Marine Science and has field experience as a cetacean naturalist in Iceland and a scuba diving instructor in the Mediterranean Sea and Southeast Asia.
David Fannon is an Associate Professor at Northeastern University, holding dual appointments in the School of Architecture and the Department of Civil and Environmental Engineering. He specializes in sustainable and high-performance building design, with a focus on persistent architecture, resilience, and human health in the built environment. Fannon earned his B-Arch from Rensselaer Polytechnic Institute (2005) and an MS in Building Science and Sustainability from UC Berkeley (2015). He is a licensed architect in New York and a LEED Accredited Professional. His research explores strategies for designing buildings that adapt to future needs, including grid-interactive efficient systems, climate-resilient infrastructure, and occupant-centric comfort models. Notable projects include DOE-funded studies on scalable building equipment performance and a Latrobe Prize-winning investigation into future-use architecture. Fannon also co-curated the 'DURABLE' exhibition on sustainable material innovations. Grants & Leadership: Co-PI on DOE grants for grid-interactive building technologies and Northeastern’s Building Resilience tools. Awards: Latrobe Prize (AIA College of Fellows). Professional Affiliations: American Institute of Architects, ASHRAE, SBSE, and BETES. Fannon advises students on sustainable building systems and co-op opportunities, mentoring graduates like Sowdamini Ponnada and Dane Brimmeier. His work bridges architecture, engineering, and policy to create resilient and adaptable built environments.
Brenna D. Argall is an Associate Professor of Computer Science, Mechanical Engineering, and Physical Medicine & Rehabilitation at Northwestern University, and a Faculty Research Scientist at the Shirley Ryan AbilityLab. Her research focuses on assistive and rehabilitation robotics, with an emphasis on human-robot interaction, shared autonomy, and intelligent control systems. She holds a PhD in Robotics from Carnegie Mellon University and has held postdoctoral fellowships at EPFL (Switzerland) and the NIH. Education: PhD in Robotics, Carnegie Mellon University (2009) Postdoctoral Fellow, EPFL (2009–2011) B.S. in Mathematics, Carnegie Mellon University (2002) Affiliations: Director, Argallab (Assistive & Rehabilitation Robotics Laboratory) Member, Northwestern Center for Robotics and Biosystems Advisor, Northwestern MS in Robotics Program Her research explores dynamic autonomy allocation , shared control systems , and interface-aware robotics , with applications in rehabilitation and assistive devices. Key projects include wheelchair automation, robotic arm control, and body-machine interfaces for users with motor impairments. Research Highlights: NSF CAREER Award (2016) AIMBE Fellow (2020) "40 under 40" Innovator (Crain’s Chicago Business) Publications emphasize human-centered robotics, including over 50 peer-reviewed articles on topics like intent inference, assistive autonomy, and teleoperation assistance. Current lab efforts prioritize interface-aware systems and customizable shared control to enhance accessibility for users with disabilities.
Ralph C. Martin is a retired Professor in the Department of Plant Agriculture at the University of Guelph. His research focuses on sustainable food production, emphasizing resilient farming systems, soil health, and nitrogen use efficiency. He holds a Ph.D. from McGill University and has contributed to interdisciplinary projects across cropping systems, forage agronomy, and environmental stewardship. Education: B.A. and M.Sc. from Carleton University; Ph.D. from MacDonald College, McGill University. Research interests include sustainable agriculture, agroecology, climate change adaptation, and food security. His work bridges agronomic practices with ecological principles to enhance productivity while preserving natural resources. Notable contributions include books like Food Security: From Excess to Enough (2019) and over 150 peer-reviewed publications. He received the 2015 Sustainability Best Paper Award for his review on organic farming's carbon impacts. Recent publications address groundwater nitrate dynamics, cover crop effects, and automated pasture technologies. Martin actively engages in public discourse on food systems through op-eds and keynote talks, advocating for systemic changes to ensure equitable and resilient food production.
Marc Habash is an Associate Professor at the School of Environmental Sciences, University of Guelph. His work focuses on microbial interactions in environmental systems, particularly pathogen detection, microbial biofilms, and water quality. He holds a BSc in Cellular and Molecular Biology from the University of Toronto, an MSc in Microbiology and Immunology from the University of Western Ontario, and a PhD in Environmental Biology from the University of Guelph. Research interests include molecular and culture-based detection of waterborne pathogens, microbial source tracking using Bacteroidales spp., and biofilm formation studies involving probiotics. Collaborative efforts examine proteomic analysis via mass spectrometry techniques. His lab is located in the Edmund C. Bovey Building (Room 3238). Publications emphasize environmental microbiology applications: from yeast tolerance mechanisms to advanced PCR methods for microbial viability quantification. Recent work explores bacterial surface dynamics, insect pest diapause induction, and enzymatic dehalogenation processes. Research consistently bridges fundamental microbiology with practical environmental monitoring solutions. No scientific awards are listed. Advising and grants sections remain unpopulated in available records. His interdisciplinary approach connects environmental engineering, molecular biology, and ecological systems analysis.
