جستجوی استاد راهنمای دانشگاهی

• Surgery
• Colorectal Surgery
• Proctology
• +۳ مورد دیگر

Dr. Ramazan Kozan is a full-time faculty member in the Department of General Surgery at Gazi University Faculty of Medicine since 2019. His primary affiliations include professional memberships in organizations such as the Turkish Surgical Society, Turkish Society of Colon and Rectal Surgery, and the National Endoscopic Laparoscopic Surgery Society. Colorectal Surgery Pelvic Floor Disorders Robotic & Laparoscopic Surgery da Vinci Robotic Console Surgeon His research focuses on surgical interventions for colorectal diseases, pelvic floor disorders, and robotic laparoscopic techniques. He has contributed to the validation of clinical tools and surgical outcomes in colorectal cancer, and his work includes experimental studies on surgical physiology and postoperative complications. The article trends highlight his expertise in colorectal surgery , minimally invasive techniques , and surgical responses to emerging infectious diseases like SARS-CoV-2. His work bridges clinical practice , experimental research , and cross-disciplinary collaboration in surgical innovation. FACS : Fellow of the American College of Surgeons (2023) FEBS-Coloproctology : European Board Qualification in Colorectal Surgery (2024) He has authored over 40 peer-reviewed publications and actively contributes to editorial and review processes in national surgical journals. His certifications include Endoscopy Training from the Turkish Surgical Society and da Vinci Robotic Console Surgeon accreditation.

Qianru Sunمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Machine Learning
• Image Generation
• +۳ مورد دیگر

Qianru Sun is a Joint Research Fellow jointly appointed at National University of Singapore (NUS) and the Max Planck Institute for Informatics (MPI-INF) since April 2018. Previously she was a Post-doc Researcher at MPI-INF (2016–2018) supported by the prestigious Lise Meitner Award Fellowship. Education: Ph.D. in Computer Science, Peking University (PKU), 2010–2016 (top 10%) B.S. in Electronic Engineering, Nanjing University of Posts and Telecommunications (NUPT), 2006–2010 (rank 1/77) Exchange student, The University of Tokyo, Oct 2014 – Jan 2015 Research Interests: Dr Sun’s research lies at the intersection of computer vision and machine learning , with a strong focus on few-shot learning , meta-learning , transfer learning , image generation and image classification . She designs algorithms that enable machines to learn new visual concepts with minimal supervision, explores adversarial robustness, and develops transferable representations for cross-domain tasks. Scientific Awards & Honors: Lise Meitner Award Fellowship, Max Planck Institute for Informatics (2016) Professional Service & Community Contributions: Dr Sun actively contributes to the research community through program-committee memberships and editorial roles: Program Committee: ICCV 2019, CVPR 2018, ICCV 2017 Workshop PC: CV-COPS (CVPR 2018), CEFRL (ECCV 2018), WiCV (CVPR 2019, ECCV 2018) Editorial Board: CAAI Transactions on Intelligence Technology Reviewer: IEEE TPAMI, TMM, TCSVT, IJCV Invited speaker: Columbia University (DVMM), CVPR ODAR Workshop, Joint Lecture Series (MPI & Saarland University) Tutorial presenter: ICMR 2018 (Japan)

Anuj Sharmaمشاهده پروفایل

استاد

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +۳ مورد دیگر

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

• Law in context
• Curriculum and Pedagogy
• Legal Education
• +۸ مورد دیگر

Craig Newbery-Jones is a Professor of Law at the University of Exeter's Law School, where he has held a personal chair since July 2024. Previously, he served as an Associate Professor in Legal Education at the University of Leeds (2018–2022) and Associate Head of Law at the University of Plymouth (2013–2018). He holds a PhD, LLB from the University of Exeter, an LLM (by Research) from Lancaster University, and a Postgraduate Certificate of Academic Practice from Plymouth University. He is a Fellow of the Higher Education Academy. His research focuses on legal pedagogy, experiential learning, technology-enhanced education, and employability skills in law. He has pioneered projects on problem-based learning, digital assessment, and the integration of video games as educational tools. He is also dedicated to improving student transition into legal studies, co-authoring *The Successful Law Student: An Insider's Guide to Studying Law* (2nd ed.). He actively promotes widening access to higher education, rooted in his background as the first in his family to attend university. His work extends to legal history, particularly press representation of legal figures and crime reporting in historical contexts. He collaborates with Heritage @Exeter and participates in initiatives like the ESRC Festival of Social Science. Craig’s awards include Fellowship of the Higher Education Academy. His research supervision welcomes global PhD candidates exploring legal education, pedagogy, and related fields.

Alina Trapovaمشاهده پروفایل

مدرس

• Intellectual Property Law
• Artificial Intelligence Law
• Copyright Law
• +۳ مورد دیگر

Dr Alina Trapova is a Lecturer in Law at the Faculty of Laws, University College London (UCL), with expertise in intellectual property law and artificial intelligence. She holds a PhD in Legal Studies (cum laude) from Bocconi University, an LLM in Intellectual Property Law from Queen Mary University of London, and an LLB from the University of Sheffield. Her research focuses on AI’s intersection with copyright law, digital entertainment, and legal education reforms. Alina previously served as an Assistant Professor at the University of Nottingham (2021–2022) and worked at the EUIPO and European Audiovisual Observatory on procedural harmonization and piracy mitigation projects. She advises governmental bodies like the Ukrainian government on specialized IP court frameworks and collaborates with institutions like the Milano Fashion Institute. Her research interests include AI-generated content rights, copyright exceptions in education, and contractual frameworks for emerging technologies. Notable projects include studies on AI in video games, EU copyright reforms, and the role of collective management organizations in digital markets. Alina is trilingual (Italian/Spanish/German) and contributes to policy discussions on global IP harmonization. Awards include her cum laude PhD thesis on EU copyright and machine learning. Her work bridges legal theory with practical applications in tech-driven industries, emphasizing inclusive enforcement mechanisms and dynamic contractual models.

Wiley Chungمشاهده پروفایل

استادیار

• Surgical Innovation
• Esophageal Cancer
• Lung Cancer
• +۵ مورد دیگر

Dr. Wiley Chung is an Assistant Professor in the Division of General Surgery & Division of Thoracic Surgery at Queen's University, affiliated with Kingston Health Sciences Centre (KHSC). He holds cross-appointments in the Department of Surgery within the School of Medicine. His clinical expertise focuses on esophageal and lung cancers, alongside benign esophageal diseases and endobronchial ultrasound guidance. His research emphasizes surgical innovation, medical technology development, and patent creation. Education: MD from The University of British Columbia (2009), BSc in Microbiology and Immunology (2005). Completed residencies in General Surgery (University of Toronto) and Thoracic Surgery (University of Calgary). Research Interests: Dr. Chung's work spans surgical technique optimization, perioperative care advancements, and translational research in gastrointestinal oncology. He leads studies on venous thromboembolism prevention, atrial fibrillation mitigation in thoracic surgery patients, and patient navigation programs to reduce esophageal cancer treatment delays. Key Roles: Attending Staff at KHSC, clinician-scientist focused on surgical innovation, and principal investigator for trials like the COP-AF study. He actively contributes to surgical education through initiatives like the C-CASE conference and anti-racism virtual simulations. Affiliations: Kingston Health Sciences Centre (Attending Staff), Queen’s Laboratory for Molecular Pathology (QLMP) collaborator, and member of multidisciplinary cancer teams.

Els Lefeverمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۵ مورد دیگر

Els Lefever is an Associate Professor at Ghent University, where she works with the LT3 (Language and Translation Technology) research team. Her position focuses on computational linguistics and natural language processing research, with strong ties to both theoretical and applied aspects of language technology. Dr. Lefever earned her PhD in Computer Science from Ghent University in 2012 with her dissertation titled "ParaSense: Parallel Corpora for Word Sense Disambiguation." Her academic journey began as a computational linguist at the R&D department of Lernout & Hauspie Speech Products before transitioning to academia. Els Lefever's research spans multiple areas within computational linguistics with particular expertise in multilingual natural language processing. Her work focuses on computational semantics, cross-lingual word sense disambiguation, and multilingual terminology extraction. Recent research directions include automatic detection of irony in online text, argumentation mining in social media, sentiment analysis of financial news, language modeling for low-resourced languages, and computational approaches to Byzantine Greek epigrams. Her research demonstrates a consistent pattern of bridging theoretical computational linguistics with practical applications across diverse language domains and historical periods. Professor Lefever actively supervises PhD research on several cutting-edge topics including terminology extraction from comparable corpora, event extraction and sentiment mining of financial news, language modeling for low-resourced languages, argumentation mining in social media, and the automatic detection of links between Byzantine Greek epigrams. Her supervision portfolio demonstrates her commitment to advancing multiple frontiers of computational linguistics simultaneously. As an educator, Professor Lefever teaches courses in Terminology and Translation Technology, Language Technology, Localisation, Digital Text Analysis, and Digital Humanities. Her teaching reflects her research interests, providing students with both theoretical foundations and practical skills in language technology applications. The LT3 research group, where Professor Lefever is a key member, maintains strong connections with both academic and industry partners. The group has participated in numerous international conferences and shared tasks including SemEval competitions across multiple years, demonstrating consistent contributions to benchmark datasets and evaluation methodologies in natural language processing.

Mahdi Jampourمشاهده پروفایل

پژوهشگر

• Computer Vision
• Artificial Intelligence
• Digital Humanities
• +۳ مورد دیگر

Dr. Mahdi Jampour is a Researcher at the Centre for the Study of Manuscript Cultures (CSMC), University of Hamburg, and a member of the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA). He holds a Ph.D. in Computer Science (Artificial Intelligence) from Graz University of Technology (2016), with postdoctoral research at Iran Telecommunication Research Center (ITRC) (2016–2017). He previously served as Assistant Professor at Quchan University of Technology (2017–2024) and led Project RFA05 (2022–2025) focusing on visual pattern similarity in written artefacts. Education: Ph.D. in Computer Science (Artificial Intelligence), TU Graz, Austria (2016) Postdoctoral Fellowship, ITRC, Iran (2016–2017) Assistant Professor, Quchan University of Technology (2017–2024) Research Interests: Dr. Jampour specializes in applying AI and computer vision to cultural heritage preservation, including palimpsest analysis, historical document digitization, and pattern recognition. His work integrates generative models, deep learning, and semi-supervised methods to address challenges in manuscript analysis and multispectral imaging. Publications Trends: Recent work focuses on generative AI for palimpsest deciphering, dataset creation for sports and cultural heritage analysis, and facial expression recognition surveys. His articles bridge computer science with digital humanities, emphasizing cultural artifact preservation through technological innovation. Awards: Kazemi-Ashtiani Award (2019) Chamran Award (2017) KUWI Prize (2015) Marshal Plan Fellowship (2015) Best MSc Thesis Award (2009) Advising & Grants: Led UWA’s Project RFA05 (2022–2025) and contributed to international preservation initiatives like the Timbuktu Manuscript Training Project. His research is supported by grants from the Iran National Elites Foundation and the Iranian Ministry of Science. Labs & Collaborations: Active in CSMC’s labs, including the Written Artefact Profiling Guide and Mobile Lab Container projects. Collaborates with institutions globally on digitization and cultural heritage safeguarding.

Lutz Precheltمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Agile Processes
• +۵ مورد دیگر

Lutz Prechelt is Professor of Informatics at Freie Universität Berlin where he heads the Software Engineering research group (AG SE). His academic journey spans theoretical foundations, industry experience, and extensive empirical research in software engineering. He has held significant administrative positions including Executive Director of the Institute of Informatics and member of various academic senates. Prechelt's research interests have evolved from artificial intelligence and neural networks to empirical software engineering, with a recent focus on qualitative approaches to Agile processes and Pair Programming. His work has consistently emphasized methodological rigor, having conducted pioneering controlled experiments on topics like type-checking, inheritance depth, design patterns, and the Personal Software Process. His research has also ventured into plagiarism detection (JPlag), melody recognition, and qualitative studies of pair programming dynamics. His publication record shows a clear transition from quantitative to qualitative approaches in empirical software engineering. Early work featured controlled experiments on specific technical aspects of software development, while more recent publications focus on qualitative analysis of team dynamics, agile methodologies, and research methodology itself. A notable thread throughout his career has been platform comparison studies (Plat_Forms) examining how different technologies affect development outcomes. Ernst Denert Software Engineering Award 2020 Prechelt has served extensively as reviewer for major funding agencies including DFG, EU, ERC, and BMBF, and as editor for journals like Journal of Universal Computer Science and Transactions on Pattern Languages of Programming. He founded the Forum for Negative Results (FNR) to address publication bias in scientific research. His research group has developed several notable software tools including Saros for distributed pair programming, JPlag for plagiarism detection, and tools for maintainable lecture videos.

• Distributed Systems
• Edge Computing
• Serverless Computing
• +۴ مورد دیگر

Stefan Nastic is an Assistant Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Distributed Systems department. He serves as Curriculum Coordinator for the Master’s program in Distributed and Next Generation Computing, and is a Substitute Member of the Curriculum Commission for Informatics. His research focuses on distributed systems, edge computing, serverless computing, IoT, and smart cities. He holds a PhD in IoT cloud systems (2016) and a BSc (not explicitly stated). Key research contributions include frameworks for serverless edge-cloud continuum (e.g., HyperDrive, GoldFish), federated learning applications (e.g., adaptive human activity recognition), and IoT infrastructure governance (e.g., Polaris Scheduler). He leads projects like RapidREC (2023–2025) on supply chain optimization and participates in initiatives like TEADAL (2022–2025) for edge-cloud workflows. Publications span 30+ peer-reviewed articles in top venues like IEEE IoT, ACM, and IEEE Cloud. He supervises graduate students on stateful serverless functions, federated learning, and edge-cloud scheduling. His work addresses challenges in resource management, latency reduction, and scalable distributed systems.

Emily Wrightمشاهده پروفایل

استاد

• Design Education
• Packaging Design
• Sustainable Design
• +۲ مورد دیگر

Emily Wright serves as Associate Dean Education at Swinburne University of Technology's School of Design and Architecture, holding a PhD from the same institution alongside a Master of Design and Bachelor of Science in Graphic Design from the University of Cincinnati. With over 20 years of international design industry experience spanning branding, packaging, publishing, environmental and web design across the USA, UK, Mexico and Australia, she bridges academic theory with professional practice. Her research specializes in design education , packaging design , and sustainable design , with particular focus on pedagogical innovation including pass/fail grading systems, generative AI integration, and co-creation methodologies. Wright's scholarly output reveals strong emphasis on Transforming design pedagogy through technology Health communication design for vulnerable populations Cross-cultural co-creation frameworks Sustainable design integration in curricula Her recent publications (2020-2023) demonstrate accelerating focus on digital learning environments, AI ethics in design education, and child/family health communication systems. Wright has received the International Design Award for her child health team visualization work and secured research contracts with major organizations including Coles Supermarkets, IRESS Limited, and Access Health Community. Her grant portfolio reflects strong industry collaboration across healthcare, retail, and financial sectors. As a doctoral supervisor, Wright has guided seven PhD candidates through projects examining design feedback practices, 3D printing in bridal fashion, urban community development, and technology-based speech learning applications. She actively contributes to design education discourse through conference leadership including editing the Cumulus 38° South proceedings.

• Distributed Systems
• Networking
• Operating Systems
• +۷ مورد دیگر

Dwight Makaroff is a Professor in the Department of Computer Science at the University of Saskatchewan . He leads the DISCUS research group , focusing on distributed systems, networking, and performance analysis. Makaroff holds a Ph.D. from the University of British Columbia (1998), an M.Sc. (1988), and a B.Comm. (1985) from the University of Saskatchewan. Research Interests: Distributed Data Processing & Hadoop Network Support for Multiplayer Games Information-Centric Networking Energy Efficiency in Mobile Devices Multicore Architectures Wireless Network Security Sensor Networks & Data Aggregation Teaching: Courses include Operating Systems Principles , Topics in Parallel & Distributed Systems , and advanced systems courses. He coordinated the ACM ICPC programming contest teams for over a decade. Committees: Graduate Committee Chair (2013-2015) University Council Member (2006-2014) Program Committee roles at IEEE/ACM conferences (IPCCC, CASCON, etc.) Recent Research Highlights: IoT security via blockchain Wearable device communication challenges Caching strategies for information-centric networks

• Video Coding
• Machine Learning in Video Compression
• Energy-Efficient Encoding
• +۳ مورد دیگر

Alexandre Mercat is an Assistant Professor in the Department of Computer Engineering at Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on video coding, energy-efficient encoding, and real-time multimedia systems. He leads projects on open-source video encoders and standards, including contributions to HEVC, VVC, and V-PCC technologies. His work emphasizes machine learning integration, low-power hardware optimizations, and scalable distributed encoding frameworks. Key technical interests include improving video compression efficiency through algorithmic innovations, developing open-source tools like the UVG dataset and Kvazaar encoder, and addressing challenges in volumetric video communication and 3D point cloud encoding. His research spans theoretical algorithm design to practical implementations, with applications in virtual reality, live streaming, and edge computing. Recent projects include real-time saliency-guided video coding frameworks, energy reduction techniques for HDR streaming, and multi-layer VVC coding schemes for hybrid machine-human consumption. He also explores FPGA acceleration and parallelization strategies for distributed video encoding systems. No scientific awards are explicitly mentioned in the provided texts. While no formal advisees are listed, his research group likely involves students through open-source development and collaborative projects. His work integrates closely with industry standards bodies and open-source communities, emphasizing reproducible evaluation frameworks and end-to-end software tools.

• Urologic Oncology
• Kidney Stones
• Minimally Invasive Surgery
• +۳ مورد دیگر

Roles & Affiliations: Associate Professor of Urology at Yale School of Medicine, Director of Laparoscopy and Endourology in Urology, and Director of the Endourology Fellowship Program. Collaborates with Smilow Cancer Hospital and Yale Cancer Center. Board Certified in Urology since 2006. Education: MD from Columbia University (1997) Residency in General Surgery at Brigham & Women’s Hospital (1998-1999) Residency in Urology at Harvard Medical School (2003) Fellowship in Laparoscopy and Minimally Invasive Surgery at Cleveland Clinic (2004) Research Interests: Focuses on minimally invasive surgical techniques for urologic conditions, kidney stone disease, and urologic oncology. Current projects include active surveillance protocols for kidney cancer, reducing radiation exposure in stone patients, and predictive models for kidney stone diagnosis. His work bridges clinical practice and innovation, emphasizing shorter hospital stays and faster recovery. Publications Overview: Over 15 peer-reviewed articles since 2004, covering topics like laparoscopic nephrectomy techniques, ureteral stone prediction models, and surgical safety innovations. His 2024 STONE score paper addresses racial bias in clinical prediction tools. Awards: 2005: 1st Prize for Best Video (American Urological Association) 2002: Pfizer Urology Scholar Multiple honors for surgical innovation and clinical excellence Advising & Grants: Mentors fellows in the Endourology Fellowship Program. Collaborates on tumor board discussions at weekly meetings. Active in grant-funded research on kidney stone epidemiology and minimally invasive techniques. Labs & Teams: Leads the Endourology and Minimally Invasive Surgery teams at Yale. Collaborates with the Yale Cancer Center on oncology-focused urology projects.

Çiğdem Kayaمشاهده پروفایل

استاد

• Historical, Cultural, and Social Context of Design
• Theory and Methodology in Industrial Design
• Product Design
• +۵ مورد دیگر

Prof. Dr. Çiğdem Kaya is a distinguished academic at Istanbul Technical University's Faculty of Architecture, Department of Industrial Product Design. She has held significant roles such as Department Chair (2024–present) and Dean of the Department of Industrial Design. Her research focuses on the historical, cultural, and social contexts of design, theory and methodology in industrial design, and product design innovation. Kaya has led numerous research projects, including studies on sustainable design practices, maker cultures, and design education. She has been awarded the ODTÜ Prof.Dr. Mustafa Parlar Foundation Research Incentive Award (2020) and is a member of Marie Curie Alumni Association and the Design Research Society. Education: She earned her PhD in Industrial Product Design from Istanbul Technical University (2011) and holds master's and bachelor's degrees in Industrial Design from the same institution. Her academic journey includes international research experiences, such as a visiting scholar at Sheffield Hallam University (2009–2010). Research Interests: Kaya explores intersections between design and culture, sustainability, and collaborative practices. Notable projects include investigations into craft knowledge transfer, maker ecologies, and the impact of remote collaboration during the pandemic. Her work bridges theoretical frameworks with practical applications, emphasizing socially responsible design. Grants & Projects: She has secured funding for projects like 'Afet Sonrası İyileşme Sürecinde Sürdürülebilir Sosyal Girişimcilik' (2023) and 'Trans-making' (EU Horizon 2020), focusing on placemaking and cultural democratization. Over 20+ research outputs span journals like Futures , Design Issues , and Journal of Consumer Behaviour . Labs/Teams: Kaya leads design studios and collaborative research teams, fostering innovation in product design and educational methodologies. Her supervision of over 15 graduate theses highlights her commitment to mentoring next-generation designers.