Dengpeng Huang is an Assistant Professor specializing in Artificial Intelligence and Robotics within the field of Elastomer Technology and Engineering . His work bridges computational modeling with advanced materials, focusing on applications in smart materials and mechanical systems. Research Interests: Development of AI-driven models for predicting elastomer properties Multiscale analysis of rubber composites Electromechanical coupling in dielectric elastomer actuators Meshfree methods for metal cutting and chip formation Ultra-precision polishing of optical surfaces Recent Trends: His 2024–2025 publications emphasize data-driven modeling of rubber's viscoelastic behavior, multiscale analysis of composites, and CNN-based approaches for material characterization. Earlier work (2014–2022) explores tool path optimization, beam modeling, and computational machining. Scientific Recognition: Holds an h-index of 5 according to Scopus citations, with recognition as an AI and robotics expert in the service industry. Advising & Collaboration: Collaborates with researchers like Anna Blume, Evgeny Karaseva, and Tim Bor on elastomer composites. Supervised at least one academic work, though specific students are not named in the provided data. Labs & Teams: Affiliated with simulation and robotics teams in the smart materials sector, likely within an advanced materials or mechanical engineering research group.
Prof. Dr.-Ing. Katja Gutsche is a Full Professor at Furtwangen University in the Faculty of Engineering Management since 2016. She serves as Program Manager for "Innovation Engineering" (M.Sc.), International Representative for Faculty I, and Rectorate Representative for Deutschlandstipendium. Her academic journey includes being a Visiting Professor at Alfred University/USA (2011-2016), Professor in Industrial Services and Dean of Studies at Ruhr West University of Applied Sciences, and Research Associate at the German Aerospace Center. Her educational background includes a Doctorate in Engineering from Technical University of Braunschweig (2009), studies in Industrial Engineering with specialization in Production from TU Ilmenau and École nationale supérieure de physique de Strasbourg, and professional experience at Continental AG. She completed her doctoral work at the Technical University of Braunschweig while serving as a Research Associate at the German Aerospace Center. Professor Gutsche's research focuses on the intersection of engineering asset management, service technologies, and human factors in industrial services. Her work explores how digital transformation impacts service operations, particularly in maintenance and asset management contexts. She investigates the balance between technological innovation and human performance, examining how smart tools and information systems affect service quality and technician experience. Her research demonstrates strong connections between theoretical frameworks and practical industrial applications, with particular relevance to railway infrastructure and manufacturing sectors. Her recent publications show a clear trajectory toward increasingly sophisticated applications of digital technologies in service contexts, including neural network applications for predicting equipment behavior and comprehensive failure detection systems. She has made significant contributions to understanding how information digitalization impacts asset availability and how smart tools can enhance service quality. Engineering Asset Management Maintenance Management Service Operation and Productivity Human Factors in Industrial Services Digital Transformation in Service Engineering Smart Tools for Service Development Professor Gutsche leads the Industrial Solutions Lab at Furtwangen University, where she and her team explore innovative approaches to service engineering and asset management. Her work connects academic research with industrial applications, focusing on practical solutions for real-world challenges in service operations and maintenance management. She has published 49 papers with 2,958 reads and 97 citations, demonstrating significant impact in her field.
Thorsten Berger is a Professor and Head of the Chair of Software Engineering at Ruhr University Bochum, Germany. His office is located at MC 4.101 on the RUB campus, with contact details including phone (+49 (0) 234 32 25975) and email (thorsten.berger@rub.de). He's an active researcher with extensive service in the software engineering community, serving on program committees for major conferences including ICSE, FSE, ASE, and SPLC. Professor Berger's research primarily focuses on software engineering with specialization in variability management, software product lines, and robotics software engineering. His work bridges theoretical foundations with practical applications, particularly in behavior trees for robotic systems, configuration management, and domain-specific language engineering. His interdisciplinary approach connects software engineering with control theory and machine learning applications. Analysis of his recent publications reveals a strong trend toward robotics software engineering, with increasing focus on behavior trees, test-case specification, and runtime verification for robotic systems. His work also shows growing interest in machine learning integration with traditional software engineering practices, particularly in model integration and asset management for ML-enabled systems. The research demonstrates consistent evolution from foundational work in variability management toward more applied domains. His scientific achievements have been recognized with numerous awards: Multiple Most Influential Paper Awards (SLE 2024, VaMoS 2023, VaMoS 2020) Wallenberg Academy Fellowship VR Starting Grant from Swedish Research Council (2016) Best Paper Awards at Modularity (2015) and CSMR (2013) Distinguished Reviewer Awards from ASE, ICSE, and SPLC conferences ERC Starting Grant finalist (2019, 2020) Professor Berger has secured substantial research funding as Principal Investigator for multiple projects including Novel Techniques for Data-Driven Root-Cause Analysis and Variability Management (Volkswagen Infotainment), Properties and Verification Techniques for Behavior Trees (Phoenix Contact Foundation), and PrivacyE2E framework for AI-enabled systems (Federal Ministry of Education and Research). His Wallenberg Academy Fellowship and VR Starting Grant demonstrate his capacity to attract competitive early-career funding. He leads the Virtual Platform project funded by the Swedish Research Council and participates in EU-funded initiatives like CO4ROBOTS. As Head of the Chair of Software Engineering at Ruhr University Bochum, he leads a research group focused on advanced software engineering techniques with particular emphasis on variability-intensive systems. His team actively participates in international research collaborations including the Wallenberg Autonomous Systems Program (WASP) and has organized significant events like the Dagstuhl seminar 19191 on 'Software Evolution in Time and Space: Unifying Version and Variability Management.'
Zhen Dong is an Associate Professor at Fudan University, China, specializing in software engineering with a focus on software reliability and security, particularly in mobile computing. Previously, he was a PostDoc and Senior Research Fellow at the National University of Singapore under the guidance of Abhik Roychoudhury. His educational background includes: PhD in Computer Science from Heidelberg University (2017), advised by Prof. Artur Andrzejak Dr. Dong's research centers on developing techniques and tools for improving software reliability and security. His work spans mobile application testing, Android security, flaky test detection, and vulnerability localization. He has made significant contributions to the field of software testing and analysis, with a particular emphasis on practical applications for mobile systems. His research bridges theoretical foundations with real-world software engineering challenges. Analysis of Dr. Dong's recent publications reveals a strong focus on leveraging AI/ML techniques for software engineering tasks, particularly using LLMs for test automation and program analysis. His work consistently addresses critical challenges in mobile computing, especially Android application reliability and security. There's a clear trajectory toward more sophisticated analysis techniques, from traditional testing methods to AI-driven approaches. His notable scientific achievements include: ACM Distinguished Paper Award at ICSE'20 Best Paper Award at AsiaCCS'21 (1/370 submissions) ASE'22 Distinguished Reviewer Award Dr. Dong serves on the Board of Distinguished Reviewers for ACM Transactions on Software Engineering and Methodology and has been an active member of numerous program committees for top software engineering conferences including ICSE, ASE, and ISSTA. His service to the academic community extends to reviewing for prestigious journals such as IEEE Transactions on Software Engineering and Methodology and ACM Transactions on Software Engineering and Methodology. His research has been supported through various academic channels, enabling him to maintain an active lab focused on software testing and analysis, particularly for mobile platforms. The lab has produced numerous tools and techniques that have influenced both academic research and industrial practice in software reliability.
Nathalie Pettorelli is a Professor at the Institute of Zoology, Zoological Society of London, and holds an Honorary Professor position at University College London. She leads the Environmental Monitoring and Conservation Modelling (EMCM) team at the Institute of Zoology, focusing on developing tools and methodologies for sustainable natural resource management. Her educational background includes a PhD in Ecology & Modelling from University Lyon (1999-2002), a DEA in Ecology & Modelling from University Lyon (1998-1999), and a Master in Ecology from University Paris 5 (1997-1998). Pettorelli's research centers on assessing and predicting the impacts of global environmental change on biodiversity and ecosystem services, with particular emphasis on climate change. She employs a multi-disciplinary approach integrating statistics, remote sensing, and programming to conduct internationally recognized research. Her extensive experience with remote sensing data drives her interest in promoting better integration of satellite-based data in global monitoring programs, particularly for biodiversity conservation applications. Her work spans conservation, ecology, biodiversity monitoring, and applied ecological research, with recent publications demonstrating strong focus on climate change impacts, nature-based solutions, and technological innovations in conservation. Her extensive publication record shows consistent contributions to high-impact journals including Nature Ecology & Evolution, Journal of Applied Ecology, and Trends in Ecology and Evolution, with recent work exploring the intersection of AI, remote sensing, and conservation science. Pettorelli frequently collaborates on horizon scanning exercises to identify emerging conservation issues and has contributed to several book chapters on seabird conservation. Pettorelli has progressed through the academic ranks at the Zoological Society of London, from Post Doctoral Research Fellow (2006-2009), to Research Fellow (2009-2017), Senior Research Fellow (2017-2022), and now Professor (2022-present). Her work demonstrates strong interdisciplinary collaboration across ecology, conservation science, remote sensing, and policy development. She leads the Environmental Monitoring and Conservation Modelling team, which develops innovative approaches to environmental monitoring and conservation planning. Her research group works at the intersection of technology and ecology, developing new methods for biodiversity assessment and conservation decision-making under global environmental change.
Sarab Sethi is a Lecturer in the Department of Life Sciences at Imperial College London, where he develops computational approaches for biodiversity monitoring through ecoacoustics. His work integrates machine learning, sensor technology, and ecological fieldwork to address conservation challenges, particularly in tropical ecosystems. His research focuses on advancing soundscape ecology through innovative methodologies including random forest analysis of avian migration patterns, development of low-power acoustic monitoring systems, and standardization of acoustic indices. Key contributions involve demonstrating how soundscapes predict species occurrence in tropical forests and creating open-source tools like the SAFE Acoustics network for real-time ecosystem monitoring. Recent publications reveal a strong trend toward scalable biodiversity assessment solutions, with increasing emphasis on robotics-assisted surveys, virtual acoustics validation, and robust machine learning models that function effectively under noisy field conditions. His work consistently bridges theoretical ecology with practical conservation applications. Dr. Sethi actively contributes to scientific discourse through peer review for high-impact journals including Nature , Nature Reviews Biodiversity , and Proceedings of the National Academy of Sciences , demonstrating significant scholarly engagement within the ecological research community. He leads the development of critical infrastructure for ecoacoustic research, including the Acoustic Index User's Guide and validation frameworks for ecoacoustic metrics, which enable standardized biodiversity assessment across global ecosystems. His fieldwork in Malaysian Borneo provides foundational data for tropical conservation applications.
Dr. Joeri A. Zwerts is an Assistant Professor in Wildlife Ecology at Utrecht University's Faculty of Science, Department of Biology, Environmental Biology group since September 2023. He serves as Coordinator of Tropical Ecology, Land Use and Nature Management and teaches courses in Conservation Science & Impact and Tropical Ecology. His educational background includes an MSc from Wageningen University & Research (2011-2013) and a BSc from Utrecht University (2006-2010). His research focuses on managing multifunctional landscapes to balance natural resource production and nature conservation in the face of increasing global resource demands. He investigates the connections between land use, climate change, and biodiversity by quantifying the impacts of management strategies on wildlife conservation and habitat use. Zwerts' work encompasses developing advanced biomonitoring methods (particularly sound-based techniques), evaluating conservation impact effectiveness, studying landscape connectivity, and addressing human-wildlife conflict. His research primarily focuses on mammals as indicators of environmental management effectiveness, with special attention to tropical forest ecosystems. His publication record shows a strong focus on innovative monitoring technologies, particularly camera trapping and bioacoustics, with applications in tropical forest conservation. He has published in high-impact journals including Nature, Science, and Nature Communications, with recent work emphasizing AI-enabled monitoring systems, forest certification impacts, and tropical forest dynamics under climate change. Dr. Zwerts has established significant field research in Central Africa, particularly in Gabon, working with forestry companies and conservation organizations. He has coordinated large-scale studies involving camera traps across multiple logging concessions in the Congo Basin. Outside his university position, he serves as an Individual Member of the Environmental Chamber of the Forest Stewardship Council and as Technical Advisor for the Precious Forest Foundation. He also provides wildlife monitoring consultancy services through his independent enterprise.
Dr. Richard C. Daly is a distinguished Professor of Cardiovascular Surgery at Mayo Clinic College of Medicine in Rochester, Minnesota. He serves in the Department of Surgery with a focus on the Division of Cardiovascular Surgery, where he specializes in heart and lung transplantation, mitral valve repair, and robotic-assisted cardiac procedures. Dr. Daly's research interests span several critical areas in cardiac surgery: Heart and lung transplantation Robotic-assisted mitral valve repair Coronary artery bypass grafting (CABG) Management of heart failure Left ventricular assist device therapy Surgical education and technique refinement His publication record shows consistent scholarly activity with recent focus on innovative approaches to mitral valve repair, anticoagulation management after robotic procedures, and evolving perspectives on heart transplantation. Dr. Daly's work bridges clinical practice with surgical innovation, particularly in minimally invasive techniques. Notable awards and recognitions: Distinguished Clinician Award (2016) Alumni Achievement Award from Normandale College (2009) Socrates Award from the Thoracic Surgery Residents Association (2007) Neochord Translational Research Award Recognition for Outstanding service on the Thoracic Organ Transplant Committee (2003) Dr. Daly maintains active leadership roles in the transplant community, having served as Vice Chair of the OPTN/UNOS Heart Transplantation Committee and Policy Oversight Committee (2020-2022), and as Chair of the Thoracic Surgery Committee for the Upper Midwest Organ Procurement Organization since 2005. His extensive involvement with professional societies including the International Society for Heart and Lung Transplantation and the American Association for Thoracic Surgery demonstrates his commitment to advancing the field. With decades of experience in cardiovascular surgery and transplantation, Dr. Daly contributes significantly to both clinical care and surgical education at Mayo Clinic, where he has been a faculty member since at least 2014.
Dr. Suruz Miah is an Associate Professor in the Department of Electrical and Computer Engineering at Bradley University's Caterpillar College of Engineering & Technology, with a joint appointment as Adjunct Professor at the University of Ottawa. He holds a Ph.D. in Electrical and Computer Engineering from the University of Ottawa and a B.Sc. in Computer Science and Engineering from Khulna University of Engineering & Technology. His research focuses on cyber-physical systems with specialization in: Mobile robot navigation and control systems Multi-agent systems and distributed control Reinforcement learning applications in robotics Autonomous vehicle technologies Biomedical sensor systems RFID and sensor network applications He leads the Cyber-Physical Systems Laboratory at Bradley and collaborates with the Machine Intelligence, Robotics, and Mechatronics Laboratory at Ottawa. Dr. Miah's recent publication trends show strong focus on: Reinforcement learning for robotic control (6 of 15 recent papers) Multi-agent coordination systems (4 papers) Biomedical sensor applications (3 papers) Aerial and ground robotics (5 papers) Autonomous vehicle technologies (3 papers) He has developed several courses including Autonomous Robotics and Introduction to Mechatronics and teaches both undergraduate and graduate courses in control systems, robotics, and embedded systems. Professional service includes: Senior Member of IEEE Associate Editor for IEEE Transactions on Industrial Informatics Reviewer for 10+ IEEE journals and conferences
Dr. Sinan Çavuşoğlu is an Associate Professor in the Department of Finance, Banking, and Insurance at the Vocational School of Social Sciences, Bingöl University, Turkey. He has been with Bingöl University since 2010, serving in various capacities including as Education Coordinator (2011-2012) and Vice Director of the Vocational School of Social Sciences (2016-2021). His academic journey began with a Bachelor's degree in Business Administration from Bülent Ecevit University in 2008, followed by a Master's in Sales and Marketing from the same institution in 2010, and culminated with a PhD in Business Administration from Hasan Kalyoncu University in 2019. Dr. Çavuşoğlu's research spans several key areas in marketing and consumer behavior: Green marketing and sustainability practices Consumer behavior and psychological aspects of purchasing decisions Brand management and brand loyalty Tourism marketing and customer experience Digital marketing and emerging technologies Religious influences on consumption patterns His recent publications demonstrate a growing focus on digital transformation in marketing, particularly the application of augmented reality and other immersive technologies in consumer experiences. He has also maintained a strong interest in sustainable consumption patterns and the psychological drivers of eco-friendly behaviors. His work appears in high-quality journals indexed in Scopus, ESCI, and SSCI databases, reflecting the academic rigor and relevance of his research. Dr. Çavuşoğlu has contributed significantly to academic literature with numerous publications in international journals and has authored book chapters on contemporary marketing topics including influencer marketing, smart tourism, and the metaverse in tourism. His research projects demonstrate practical engagement with industry challenges, including his current role as principal investigator for a national project on 'Digital Transformation and Societal Reflections of Digital Innovation' (TÜBİTAK 2237-A). As an active member of the academic community, Dr. Çavuşoğlu serves as a reviewer for multiple prestigious journals across marketing, consumer behavior, and tourism fields. His teaching portfolio includes courses such as General Accounting, Marketing Management, Sales Management, International Marketing, Management Accounting, Entrepreneurship, and E-Commerce, where he integrates theoretical foundations with practical applications relevant to the finance, banking, and insurance sectors.
Marlena Bednarska is an active Associate Professor at Poznań University of Economics and Business, where she serves in the Department of International Economics within the Institute of International Business and Economics. With a doctorate earned in 2005 and promotion to Professor Assistant (Associate Professor level) in 2020, she has established herself as a significant researcher in tourism economics and personnel management within service industries. Her educational background, while not explicitly detailed in the provided information, has led to expertise spanning economics and management disciplines, with declared research fields focusing on tourism enterprise economics, labor markets in tourism, and competitiveness of tourism economies. Her work bridges economics and management studies with 25% focus in economics and finance and 75% in management and quality studies. Bednarska's research interests center on the critical intersection of human resources and tourism competitiveness. She investigates how job satisfaction, service quality, employee behavior, and generational differences impact tourism business performance. Her work particularly examines high-contact service environments where employee-customer interactions directly determine competitive advantage. Recent publications increasingly address technology adoption in service industries, including AI and automation impacts on service workers. Analysis of her 52 publications reveals a consistent focus on empirical studies connecting workplace conditions with business outcomes in tourism. Her research demonstrates methodological sophistication with regular use of large-scale survey data, factor analysis, and cross-national comparisons. The publication trend shows sustained productivity with multiple high-impact articles appearing in 2022-2025. 4 institutional achievements documented Total ministerial score of 926 in Polish academic evaluation system Extensive citation network with researchers across tourism and service management fields Her advising activity includes supervision of at least one doctoral thesis, with research directions suggesting opportunities for students interested in tourism labor markets, service quality, and human resource management in hospitality contexts. While specific grant information isn't provided, her extensive publication record and institutional achievements suggest successful research funding. Bednarska maintains an active research laboratory environment focused on tourism economics and personnel issues, though specific lab branding isn't mentioned in the available information. Her research group appears to collaborate extensively on projects examining Polish tourism sector dynamics while connecting to broader European and international contexts through multi-country datasets.
Prof. Dr. Alfred Höß is a Professor of Electrical Engineering at the Amberg-Weiden University of Applied Sciences, where he has served since 1995. He chairs the examination committee for multiple engineering programs including Electrical and Information Technology, Software Systems Technology, and Industrial IT. His academic leadership extends through over a decade of service on the university senate and various planning committees. Dr. Höß completed his electrical engineering studies at Friedrich-Alexander-Universität Erlangen-Nürnberg (1983-1987), earning his diploma with distinction in 1988. He earned his PhD from Ruhr-Universität Bochum in 1991 with distinction, followed by industry experience at Siemens AG in both medical and automotive divisions before joining academia. Friedrich-Alexander-Universität Erlangen-Nürnberg: Electrical Engineering (1983-1987) Ruhr-Universität Bochum: PhD in High-Frequency Technology (1988-1991) His research spans cutting-edge automotive technologies with particular focus on autonomous driving systems, electric mobility solutions, and wireless communication architectures. Dr. Höß leads multiple EU-funded research projects including Archimedes, AI4CSM, AUTBUS, and Powerized, with emphasis on practical implementations for real-world transportation challenges. His work integrates artificial intelligence with edge computing to solve complex problems in vehicle communication, battery management, and autonomous navigation systems. His publication portfolio demonstrates strong emphasis on practical applications of machine learning in automotive contexts, particularly in range prediction for electric vehicles, federated learning for battery management, and communication systems for autonomous vehicles operating in challenging environments. His research shows consistent progression from fundamental electrical engineering principles to advanced AI integration in transportation systems. Dr. Höß has received notable academic recognition including the Diplompreis Elektrotechnik in 1988 and the Gebrüder-Eickhoff-Preis in 1992 for his doctoral work. Diplompreis Elektrotechnik (1988) Gebrüder-Eickhoff-Preis (1992) He actively mentors numerous graduate students across multiple research projects, supervising master's theses and research assistantships. His laboratory for electrical measurement technology serves as the foundation for hands-on student research. Dr. Höß secures substantial research funding through EU projects and industry collaborations, focusing on practical implementations of advanced automotive technologies. His administrative leadership includes chairing examination committees for multiple engineering programs, demonstrating his commitment to academic excellence and curriculum development. Dr. Höß directs the Electrical Measurement Technology Laboratory at Amberg-Weiden UAS, which serves as the primary research facility for his automotive electronics work. His research teams collaborate across multiple EU-funded projects including ADACORSA for drone communications, PRYSTINE for programmable automotive intelligence systems, and AUTBUS for rural autonomous transportation solutions. These interdisciplinary teams combine expertise in electrical engineering, computer science, and applied mathematics to tackle complex challenges in modern mobility systems.
Jonathan Pascal Heldt is an HS Assistant Clinical Professor in the Department of Psychiatry and Biobehavioral Sciences at the UCLA School of Medicine. His academic career spans multiple disciplines, with early work in ophthalmology and public health, followed by significant research in urology and surgical techniques, and most recently focusing on psychiatry and mental health. Dr. Heldt's research interests demonstrate a clear evolution across his career. Early publications (1987-1988) focused on public health ophthalmology and community eye care in developing nations. His work then shifted to urology (2009-2014), where he contributed extensively to understanding radiation exposure during surgical procedures, ureteral calculus detection, and kidney transplantation techniques. Most recently (2018-2023), his research has centered on psychiatric care, medical decisional capacity, involuntary treatment policies, and the impact of the COVID-19 pandemic on mental health services and medical education. His publication trends reveal a researcher with remarkable interdisciplinary versatility. The most recent works focus on physician burnout during the pandemic, remote learning in medical education, and policies regarding medical incapacity holds. These build upon his earlier expertise in healthcare systems and patient safety, now applied to psychiatric contexts. His work consistently addresses practical clinical challenges and healthcare delivery improvements. Dr. Heldt collaborates extensively within UCLA's medical community, particularly with colleagues in Psychiatry and Biobehavioral Sciences including Cheung, Erick; Castillo, Enrico; Richards, Misty; and Strouse, Thomas. His interdisciplinary background enables him to bridge perspectives between surgical specialties and psychiatric care, contributing unique insights to both fields.
Maria Clotilde Carra is a distinguished academic in the field of dentistry, currently serving as Full Professor at the University of Paris, Faculty of Odontology, where she leads research and teaching in Periodontology. Previously, she held positions as Associate Professor and Assistant Professor at Université Paris Diderot, demonstrating a steady progression through the academic ranks in the same institution (which underwent a name change). Her academic journey reflects deep commitment to advancing knowledge in periodontal sciences and dental implantology. Dr. Carra's educational background is impressive and specialized. She earned her Laurea Magistrale in Dental Medicine and Prosthetics from the University of Parma, Italy (2002-2007), followed by a Certificate of Advanced Studies in Periodontology in 2014, a Master's degree in Clinical Specialized Dentistry with a focus on Periodontology, and the prestigious European Federation of Periodontology Certificate of Completion of Specialized Training in Periodontics and Implant Dentistry. Her research interests span several interconnected domains within oral health. She has made significant contributions to understanding the relationship between periodontal diseases and systemic conditions, particularly sleep disorders such as obstructive sleep apnea and bruxism. Her work bridges clinical periodontology with dental sleep medicine, exploring how oral health conditions intersect with broader health issues. She has also focused extensively on patient-centered approaches, investigating patient preferences in periodontal and implant therapy, and awareness of periodontal disease connections to other health conditions. Her methodological expertise is evident in numerous systematic reviews and meta-analyses that have shaped evidence-based practice in her field. Analysis of her recent publications reveals a strong trend toward interdisciplinary research connecting periodontology with sleep medicine, innovative diagnostic approaches in periodontal assessment, and educational aspects of dental specialty training. Her work demonstrates consistent focus on methodological rigor, particularly in systematic review methodology, while addressing clinically relevant questions about periodontal disease diagnosis, treatment outcomes, and prevention strategies. The growing emphasis on patient perspectives and educational approaches in her recent work suggests evolving research interests that balance clinical science with patient-centered care considerations. Dr. Carra has served as a peer reviewer for numerous prestigious journals including Clinical Oral Investigations, Sleep & Breathing, Sleep Medicine, European Journal of Pediatrics, PLoS One, and Nutrients, demonstrating recognition of her expertise by the scientific community. Her review activity spans multiple disciplines, reflecting the interdisciplinary nature of her research interests. While specific details about her advising activities and research grants are not explicitly mentioned in the available information, her extensive publication record as corresponding or contributing author on numerous high-impact studies suggests active mentorship of students and junior researchers. Her involvement in large-scale studies utilizing population-based cohorts like CONSTANCES indicates participation in significant collaborative research initiatives. Her research appears to be conducted within a robust academic environment at the University of Paris, likely involving collaboration with dental clinicians, sleep medicine specialists, epidemiologists, and public health researchers. The interdisciplinary nature of her work suggests she operates within or collaborates closely with multiple research teams spanning dentistry, sleep medicine, and public health domains.
Sajid A. Khan, MD is an Associate Professor of Surgery (Oncology) at Yale School of Medicine, Chief of Hepato-Pancreato-Biliary & Mixed Tumors, and Co-Director of Team Science at Yale Center for Clinical Investigation (YCCI). He serves as Co-Leader of the Advanced Hepatobiliary Disease Program at Yale Cancer Center. Dr. Khan is internationally recognized for superb clinical care and excellence in cancer research, with board certification in both Complex General Surgical Oncology and General Surgery. Yale School of Medicine - Associate Professor of Surgery (Oncology) Yale Cancer Center - Co-Leader, Advanced Hepatobiliary Disease Program Yale Center for Clinical Investigation (YCCI) - Co-Director of Team Science Hepatic Arterial Infusion (HAI) Program - Co-Director Southwest Oncology Group (SWOG) - Principal Investigator Dr. Khan earned his medical degree from SUNY Upstate Medical University in Syracuse, NY and completed his general surgery training at Oregon Health & Science University and Albert Einstein College of Medicine/Montefiore. He furthered his expertise with a research fellowship at Memorial Sloan-Kettering Cancer Center and a clinical and research fellowship at University of Chicago Medical Center. He is Board Certified in both Complex General Surgical Oncology and General Surgery. Dr. Khan's research program focuses on gastrointestinal cancers, utilizing modern molecular biology (metabolomics and transcriptomics) to improve understanding and treatment. His NIH-funded lab performs translational research exploring liver metastasis mechanisms, developing pancreatic cancer biomarkers, and identifying novel genomic cancer pathways. A distinctive aspect of his work examines how tumor metabolites and RNA expression relate to race/ethnicity and sex differences. His lab's research has resulted in over 100 publications in prestigious journals with more than 3,299 citations. Dr. Khan's clinical practice specializes in complex surgical oncology for tumors of the liver, pancreas, bile ducts, stomach, and colon, as well as melanoma and neuroendocrine tumors. He has performed over 1,800 oncologic surgeries at Yale Health System, incorporating a multidisciplinary team approach and minimally invasive techniques. His commitment to patient care extends beyond the operating room, emphasizing long-term relationships with patients and their families. Regional Top Doctor by Castle Connolly (2023, 2024, 2025) Membership Induction to Surgical Biology Club (2024) Medical Student Thesis Award (as Mentor) (2023) Consistently top percentile ranks for patient satisfaction Dr. Khan leads a federally funded research program with multiple NIH grants (R01s, R21s, KL2) and serves as Principal Investigator for a SWOG-sponsored national clinical trial on colorectal cancer chemoprevention. He chairs the Society of Surgery of the Alimentary Tract (SSAT) Research Committee and serves on editorial boards for Annals of Surgical Oncology, JAMA Oncology, and Indian Journal of Surgery. His leadership extends to multiple professional organizations including the Society of Surgical Oncology, American College of Surgeons, and American Society of Clinical Oncology. The Khan Lab conducts both wet and dry lab research, focusing on translational studies that bridge basic science discoveries with clinical applications. The lab's work on oligometastatic disease aims to identify which patients with limited metastases will benefit most from curative therapies. Located at 300 George Street, 6th Floor, the lab collaborates closely with other experts at the Yale Cancer Center to advance the field of gastrointestinal oncology.
