Common-sense Modelling Professors and Supervisors

Yejia Zhangمشاهده پروفایل

دانشیار

University of PennsylvaniaUnited States

Yejia Zhang, MD, PhD, is an Associate Professor of Physical Medicine and Rehabilitation at the Perelman School of Medicine, University of Pennsylvania, and a Staff Physician at the Corporal Michael J. Crescenz Veterans Affairs Medical Center in Philadelphia, PA. She specializes in non-operative spine care, acupuncture for chronic pain, and wheelchair assessment, with a focus on molecular mechanisms underlying intervertebral disc degeneration and regeneration. Dr. Zhang received her MD from the Second Military Medical University in China (1989) and PhD in Cell and Molecular Biology from the University of Pennsylvania (1997). Her research bridges clinical and molecular approaches to spinal health, integrating gene expression profiling and therapeutic interventions. Research Expertise: Cell and Molecular Biology, Spine Pathophysiology, Intervertebral Disc Regeneration, Chronic Pain Management Clinical Expertise: Non-operative Spine Care, Acupuncture, Wheelchair Assessment Her recent work investigates cytokine signaling, extracellular matrix dynamics, and genetic polymorphisms in disc degeneration, with over 15 publications in 2023–2025. She collaborates extensively with orthopedic surgeons and rehabilitation specialists, supported by grants from NASS and CMS. Scientific Awards: CMS Meaningful Use Stage 1 Certification (2012) NASS Research Grant (2016) Dr. Zhang has contributed to interdisciplinary teams at institutions including the University of Pennsylvania, Rush University, and Thomas Jefferson University, advancing regenerative therapies for spinal conditions and osteoarthritis.

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Lynn Hildemannمشاهده پروفایل

استاد

Stanford UniversityUnited States

Lynn Hildemann is a Professor in the Department of Civil and Environmental Engineering at Stanford University's School of Engineering. She serves as the Senior Associate Dean for Education at the Stanford Doerr School of Sustainability and was previously the Department Chair (2016-2021). Her research focuses on airborne particulate matter sources, dispersion dynamics, and human exposure assessment to air pollutants. PhD, MS, BS in Environmental Engineering Science from Caltech Her work spans indoor and outdoor air quality , with notable studies on marijuana and tobacco smoke exposure , PM2.5 dispersion , and air purifier effectiveness . She has authored over 100 peer-reviewed publications, including highly cited papers on secondhand smoke and particulate matter. Her research employs experimental methods and stochastic modeling to analyze pollutant behavior in residential, restaurant, and public spaces. Recent work includes quantifying PM2.5 from cannabis use in homes and public areas, comparing vaping vs. smoking exposure, and developing calibration techniques for low-cost air monitors. She examines proximity effects in smoke exposure and ventilation strategies to mitigate risks. Scientific Awards : AAAR Kenneth T. Whitby Award (1998) NSF Presidential Young Investigator (1991) ONR Young Investigator (1994) Haagen-Smit Outstanding Paper Award (2001) Stanford Gores Award for Teaching (2013) SWE Mentoring Excellence Award (2010) She has served on advisory committees for the Bay Area Air Quality District and California Air Resources Board , and held editorial roles for Environmental Science & Technology and Aerosol Science and Technology . Her administrative roles include chairing Stanford's University Breadth Governance Board and Engineering Library Committee .

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Christian A. Wysockiمشاهده پروفایل

دانشیار

University of Texas Southwestern Medical CenterUnited States

Christian A. Wysocki, M.D., Ph.D., is an Associate Professor in the departments of Internal Medicine and Pediatrics at UT Southwestern Medical Center. He serves as the Clinical Director of the Primary Immunodeficiency Program, leading multidisciplinary care for pediatric and adult patients with primary immunodeficiencies through collaborations spanning bone marrow transplant, gastroenterology, rheumatology, and translational research. He joined UT Southwestern's faculty in 2013 after completing his medical and doctoral training at the University of North Carolina at Chapel Hill and residency/fellowship at Yale University. His research program focuses on: Genetic basis of immunodeficiency disorders through collaborations with Dr. Nicolai Van Oers Thymus development and related genetic disorders Hemophagocytic lymphohistiocytosis (HLH) across age groups Autoimmune/inflammatory complications of common variable immunodeficiency (CVID) Neonatal screening for severe combined immunodeficiency (SCID) as consultant for Texas Health Services Professional affiliations include the American Academy of Allergy, Asthma & Immunology and Clinical Immunology Society. No awards or grants are detailed in available sources.

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Anil Madhavapeddyمشاهده پروفایل

استاد

National and Kapodistrian University of AthensGreece

Anil Madhavapeddy is the Professor of Planetary Computing at the University of Cambridge Computer Laboratory, where he co-leads the Energy & Environment Group and is a member of the Systems Research Group. He is also a Fellow at Pembroke College where he serves as Director of Studies in Computer Science. Madhavapeddy completed his PhD from the University of Cambridge in 2003 and his BEng in Information Systems Engineering from Imperial College in 1999. He holds a JM Keynes Fellowship since 2022 for his work combining computer science with economics, and serves on the management committee of the Cambridge Conservation Initiative where he co-directs 4C (Cambridge Centre for Carbon Credits) and the Centre for Earth Observation. His research spans computer systems and programming languages with a strong focus on applying these technologies to global conservation, biodiversity, and climate change challenges. He leads the OCaml Labs group and has made significant contributions to open-source projects including OCaml, Docker, Xen, and OpenBSD. His work often bridges computer science with environmental science, developing computational approaches to address planetary-scale challenges. Madhavapeddy's recent publications demonstrate a clear trajectory toward integrating programming language research with environmental monitoring and conservation. His work spans from foundational programming language techniques to applied geospatial computing systems, with increasing emphasis on biodiversity measurement, carbon credit systems, and planetary-scale environmental monitoring. JM Keynes Fellowship (2022-present) As an educator, Madhavapeddy teaches undergraduate courses including Foundations of Computer Science, Software & Security Engineering, and Cloud Computing. He mentors MPhil and PhD students and co-founded the award-winning book 'Real World OCaml' (2nd Edition, 2022). He has co-founded several companies including Unikernel Systems, High Energy Magic, Segfault, and Tarides to translate research into real-world impact. Madhavapeddy leads the OCaml Labs group at Cambridge and works closely with the Energy & Environment Group, collaborating with colleagues from Plant Sciences, Zoology, Economics, and NGOs including UNEP-WCMC and the IUCN. His current efforts are primarily focused on conservation technology through partnerships with organizations like Canopy PACT.

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José Luis Marcelo Peñaمشاهده پروفایل

پژوهشگر

University of CumbriaUnited Kingdom

Dr. José Luis Marcelo Peña is a researcher and faculty member at the National University of Jaén in Jaén, Cajamarca, Peru, where he has been employed since July 17, 2019. His primary focus is on forest management and tropical ecology, particularly in the context of Peruvian ecosystems. Dr. Peña is recognized as a RENACYT researcher (National Council for Science, Technology and Innovation of Peru) at Level III, a prestigious research recognition in Peru. His previous RENACYT recognition was at Level IV from 2019-2021. Dr. Peña's research interests span multiple areas of tropical forest ecology and conservation. His primary focus is on seasonally dry tropical forests of Peru, particularly in the Marañón Valley region. He has made significant contributions to plant taxonomy, describing numerous new species from northern Peru, especially in cloud forests and montane ecosystems. His work also encompasses ethnobotany, examining traditional medicinal plant use in forgotten Peruvian communities, as well as dendrochronology and wood anatomy of tropical tree species. His publication record demonstrates consistent high-impact research, with numerous articles in prestigious journals covering topics from Amazonian tree community composition to new species discoveries in Peruvian ecosystems. His work often addresses conservation challenges and the importance of local ecological knowledge in forest restoration. Dr. Peña has received recognition through his RENACYT Level III researcher status, which is a significant scientific award in Peru that acknowledges his research contributions and productivity. His collaborative work spans multiple institutions and involves extensive field work across Peru's diverse ecosystems. His research has practical applications for conservation planning and forest management strategies in tropical regions.

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Rafal Rzepkaمشاهده پروفایل

دانشیار

Louisiana State University of AlexandriaUnited States

Rafal Rzepka is an Associate Professor at Hokkaido University's Faculty of Information Science and Technology, where he leads the Language Media Lab and serves as Associate Editor for Information Processing & Management. With a prolific research output of 322 publications and significant citation impact, his work bridges theoretical NLP with practical applications in ethical AI systems. His research interests span multiple interconnected domains in artificial intelligence, with primary focus on Natural Language Processing, Machine Ethics, Common Sense Knowledge acquisition, and Affect Processing. He has pioneered work in Artificial Humor, Metaphor Understanding and Generation, Cyber-bullying Detection, and recently expanded into Speciesism analysis in language models. His approach combines computational linguistics with cognitive science to develop systems that better understand human behavior and values. Analysis of his recent publications reveals a strong trend toward ethical AI applications, with significant work on bias detection (including fame bias and speciesism), cross-cultural ethics, and moral decision-making frameworks. His research increasingly focuses on practical implementations of ethical AI in security contexts, medical diagnostics through speech analysis, and regulatory compliance systems. Rafal Rzepka's work demonstrates consistent innovation in extracting meaningful patterns from language to address complex social and ethical challenges. His research bridges theoretical advances in NLP with real-world applications that improve AI safety, fairness, and human-AI interaction. As an active researcher, he collaborates across multiple institutions and disciplines, with recent work spanning Japanese, English, Polish, French, and Chinese language contexts. His contributions to developing evaluation datasets like JETHICS provide important resources for the broader AI ethics community.

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Thorkild Maack Rasmussenمشاهده پروفایل

استاد

Luleå University of TechnologySweden

Thorkild Maack Rasmussen is a Professor and Head of Division for Geosciences and Environmental Engineering at Luleå University of Technology's Department of Civil, Environmental and Natural Resources Engineering. His academic leadership spans both research and educational initiatives with a strong international dimension. Professor Rasmussen's research focuses on Applied Geophysics, with particular expertise in mineral resource exploration, electromagnetic modeling, and geological modeling of mineral deposits. His work bridges theoretical geophysics with practical applications in mining and resource management, as evidenced by his publications on iron oxide-apatite deposits in Norrbotten, electromagnetic forward modeling, and kimberlite systems in Greenland. His recent publications (2023-2025) demonstrate consistent scholarly output in high-impact venues including IEEE Transactions on Geoscience and Remote Sensing and Geophysical Journal International. These works reveal a research trajectory emphasizing advanced computational methods for geophysical problems, international mineral resource management education, and detailed geological modeling of economically significant deposits. Professor Rasmussen leads the DREX Common Earth Modelling project of the Kiruna mining district, funded by ERAMIN and LKAB, and coordinates an international education program between Luleå University of Technology and Eduardo Mondlane University in Mozambique. His academic leadership extends to supervising research within the Geosciences and Environmental Engineering division, with opportunities for students to engage in cutting-edge geophysical research and international collaborations. The interdisciplinary nature of his work creates pathways for students interested in both theoretical geophysics and practical mineral exploration applications.

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Krzysztof Cwalinaمشاهده پروفایل

استادیار

Gdańsk University of TechnologyPoland

Krzysztof Cwalina serves as an Assistant Professor in the Department of Radio Communication Systems and Networks within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges theoretical wireless communication principles with practical transportation and IoT applications, utilizing facilities in Building A of the Faculty. His research focuses on wireless communication systems with specialization in 5G/LTE networks, signal processing for transportation monitoring, and UAV detection systems. Key interests include passive radar techniques using commercial signals, low-complexity algorithms for real-time analysis, and positioning accuracy modeling in urban environments. His work emphasizes practical implementations using single-receiver architectures and omni-directional antennas. Recent publications (2024-2025) reveal a concentrated research trajectory in transportation-aware wireless sensing , demonstrated through train detection using LTE reference signals, UAV identification via chirp symbols, and 5G positioning modeling. These works share common threads of leveraging unlicensed spectrum, optimizing for computational efficiency, and validating through real-world urban measurements. His approach consistently prioritizes deployable solutions over theoretical constructs. As a core member of Gdańsk Tech's Radio Communication Systems and Networks Department, he contributes to research on next-generation radio interfaces including NB-IoT frameworks and 5G-NR positioning systems. His experimental work utilizes the university's telecommunications infrastructure for urban environment testing and signal analysis.

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Arash Ajoudaniمشاهده پروفایل

استاد

Italian Institute of TechnologyItaly

Arash Ajoudani is a tenured Senior Researcher and Principal Investigator at the Italian Institute of Technology (IIT), where he directs the Human-Robot Interfaces and Interaction (HRI²) laboratory. He holds affiliations with the European Lab for Learning and Intelligent Systems (ELLIS) and leads joint labs like R4M (Robotics for Manufacturing) and JOiiNT. His research bridges: Physical human-robot interaction Mobile manipulation Adaptive control systems Assistive and tele-robotics He coordinates flagship projects including ERC grants (Ergo-Lean, Real-Move), Horizon Europe initiatives (Tornado), and industrial collaborations. His awards include the IEEE RAS Early Career Award 2021, KUKA Innovation Award 2018, and multiple best paper recognitions at top robotics conferences. As an editor, he serves the International Journal of Robotics Research (IJRR) and IEEE RAS committees, driving advancements in collaborative automation and human-centered AI.

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Hui Liuمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Hui Liu is a Professor in the School of Computer Science and Technology at Beijing Institute of Technology, where he leads research in AI-based software development with a focus on LLM applications. His work spans software refactoring, quality improvement, and maintenance, funded by the National Natural Science Foundation of China and the National Key Research and Development Program of China. PhD from Peking University (2008) Former graduate student at Software Engineering Institute, Peking University Distinguished member of China Computer Federation Secretary-General of CCF Technical Committee on Software Engineering Professor Liu's research centers on LLM-based program generation, evaluation and testing of large language models, software refactoring techniques, and automatic construction of software engineering datasets. His work bridges artificial intelligence and software engineering, with particular emphasis on improving code quality through empirical studies and machine learning techniques. Current projects include code contamination detection, context-aware naming recommendations, and refactoring validation using LLMs. His research has evolved from traditional code smell detection to cutting-edge applications of large language models in software development. Liu's publication record shows a strong trend toward LLM applications in software engineering, with recent work focusing on code review generation, commit message generation, and refactoring validation using large language models. His research combines empirical methods with machine learning approaches, often analyzing large code corpora from open-source projects. The work spans both theoretical foundations and practical tool development, with several contributions merged into Eclipse as part of the open-source community. ACM Distinguished Paper Award (ESEC/FSE 2023) ACM Distinguished Paper Award (ICSE 2022) RE'2021 Best Research Paper Award IET Software Premium Award (2018) New Century Excellent Talents in University (2013) Beijing Higher Education Young Elite Teacher (2013) Professor Liu actively mentors PhD and Master's students, with recent graduates including Waseem Akram (awarded Outstanding Graduate) and several students publishing at top venues. His research is supported by major Chinese funding agencies, and he serves on program committees for leading software engineering conferences including ASE, ICSE, and FSE. He maintains strong industry connections through contributions to Eclipse and studies of open-source ecosystems like Rust. Liu leads a research group focused on AI for software engineering, with active projects on code generation, refactoring, and quality improvement. The group collaborates extensively with international researchers and contributes directly to open-source tools, particularly in the Eclipse ecosystem where multiple refactoring improvements have been merged.

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