جستجوی استاد راهنمای دانشگاهی

Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.

• Computational Design
• Architectural Education
• Artificial Intelligence in Architecture
• +۹ مورد دیگر

Mustafa Asım Kazancıgil is an Assistant Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Information Security Technology. He has also served in the Department of Information Systems and Technologies at Yeditepe University since 2014. His academic journey includes a PhD in Informatics-Computer Science from Universita degli Studi di Milano (2013) and a Master's in Interactive Digital Television from the same institution (2006). PhD: Universita degli Studi di Milano (2013) Master's: Universita Degli Studi di Milano (2006) Bachelor's: Yeditepe University, Faculty of Communication, Department of Radio, Television and Cinema (2004) His research focuses on web design , information systems security , big data analytics , and emergency services technology . His publications include works on disaster resilience and interactive digital television applications. He has taught courses on Web Design, Information Systems Security, and Advanced Web Programming at both undergraduate and graduate levels. Administrative roles include Head of Department (2021) and multiple Erasmus Coordinator positions (2016-2019). He supervises theses in digital marketing and CRM trends, as well as CRM/SCM applications in management information systems. His teaching portfolio spans 2013-2025 across Yeditepe University's academic calendar.

• Web Design and Development
• Information Systems Security
• Big Data Analytics
• +۵ مورد دیگر

İBRAHİM HALİL EFENDİOĞLU is an Associate Professor at Gaziantep University's Faculty of Economics and Administration, Department of Business Administration. Previously, he served as a Lecturer at Gaziantep University's Presidency, Department of Informatics from 2016 to 2023. His academic journey includes a Doctorate in Business Administration from Hasan Kalyoncu University (2015-2019), a Master's in Computer Education from Gazi University (2006-2008), and a Bachelor's in Computer Engineering from Mersin University (2000-2004). His primary research interests focus on the intersection of marketing and emerging digital technologies. EFENDİOĞLU's work spans digital marketing, artificial intelligence applications in marketing, Metaverse marketing, blockchain technology, and NFT marketing. His research demonstrates how these emerging technologies are reshaping consumer behavior and marketing strategies in both Turkish and global contexts. His recent publications (2023-2024) reveal a strong trend toward examining cutting-edge digital marketing phenomena. His work covers diverse areas including AI-powered marketing, Metaverse consumer behavior, cryptocurrency adoption, and NFT market dynamics. These publications appear in both Turkish and international journals, demonstrating his ability to contribute to scholarly discourse across linguistic boundaries. 2024 Kamu UBYT Programı Araştırmacı Teşvik Ödülü (TÜBİTAK) Yayın Teşvik Ödülü 3rd. Best Paper Award (International Islamic Marketing Association, 2023) EFENDİOĞLU has supervised graduate students, including NİHAL BÜLBÜL's thesis on social media marketing activities and their impact on purchase intention. His teaching responsibilities span undergraduate, graduate, and associate degree levels, covering courses in electronic commerce, marketing principles, digital marketing, and information technologies. He has also participated in numerous research projects related to digital marketing, Metaverse applications, and e-commerce education. His interdisciplinary background in computer engineering and business administration uniquely positions him to analyze the technological and behavioral aspects of digital marketing phenomena. This dual expertise is evident in his research that bridges technical understanding of emerging platforms with consumer behavior insights.

• Marketing
• Digital Marketing
• Metaverse Marketing
• +۶ مورد دیگر

Sevil Yazıcı is an Associate Professor at the Department of Architecture , Istanbul Technical University , with a focus on computational design, material efficiency, and structural performance in architecture. She previously served as a Doctor Lecturer at Ozyegin University (2013–2020). Educational background: PhD in Building Sciences (2009–2013), Istanbul Technical University Degree in Architecture from Architectural Association School of Architecture (2004–2006) Research interests span computational design, bio-inspired material organization, and sustainable construction. Her recent work explores VR-driven spatial performance analysis, demolition waste reuse, and microstructure-informed shell topologies. Selected trends in publications include: Integrating environmental/structural data in early design Material-efficient generative models Biomimetic computational analysis AI-assisted architectural creativity Scientific awards highlight her achievements: 2024 Best Article Award (Frontiers of Architectural Research) 2018 Gold Medal (Istanbul International Invention Fair) 2016 UK Graduate Professional Achievement Award 2014 ITU Most Successful Doctoral Thesis Award Advising includes theses on reversible structures, sustainable façades, AI-driven design, and material-efficient fabrication. She served on the Executive Board of the Informatics in Architectural Design Graduate Program (2021–present) and was Deputy Head of Department (2022).

• Information Technologies in Architecture and Design
• Architectural Design
• Materials and Technology in Architecture
• +۶ مورد دیگر

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

• Sensor Networks
• Pervasive Computing
• Middleware
• +۵ مورد دیگر

Professor Ufuk Karadavut serves at Karabük University Faculty of Medicine, Department of Basic Medical Sciences, where he holds the position of Professor and currently serves as Vice Dean. Previously, he was Dean of the Faculty of Medicine from 2021-2022 and has held multiple leadership roles including Head of Department since 2020. With an extensive publication record of 493 works and significant contributions to both medical and agricultural statistics, his career spans multiple Turkish universities including Ahi Evran University and Bingöl University. PhD, Selçuk University, Institute of Science (2001-2005) Bachelor's Degree, Ankara University, Faculty of Agriculture, Department of Animal Science (1987-1991) Professor Karadavut's research spans biostatistics, medical informatics, and agricultural statistics, with particular expertise in statistical experimental design. His work bridges healthcare applications (medical informatics, clinical data analysis) with agricultural science (crop breeding, animal husbandry). He has developed statistical methodologies applicable across diverse fields, from analyzing palliative care outcomes to optimizing chickpea breeding programs for drought tolerance. His research demonstrates a consistent pattern of applying advanced statistical techniques to solve practical problems in both medical and agricultural contexts. Analysis of his recent publications reveals a strong focus on applying statistical methodologies to address contemporary challenges. In medical informatics, he examines healthcare quality, medical education, and pandemic impacts. In agricultural science, his work centers on crop improvement (particularly chickpeas and other legumes) and animal breeding. His statistical approaches include multivariate analysis, QTL mapping, growth modeling, and machine learning techniques, demonstrating methodological versatility across disciplinary boundaries. While specific awards aren't detailed in the available information, his h-index of 11 (UNIS) and 8 (WoS), along with 583 total citations, indicate significant scholarly impact. His research has attracted funding from major Turkish research bodies including TÜBİTAK and university-supported projects. Professor Karadavut has supervised 13 theses across multiple institutions and taught diverse courses ranging from medical bioinformatics to agricultural statistics. His research portfolio includes 31 projects, with recent work focusing on climate change adaptation in livestock, medical informatics applications, and advanced statistical methodologies for agricultural research. He has collaborated extensively with researchers across multiple Turkish institutions, demonstrating strong interdisciplinary networking capabilities.

• Biostatistics
• Statistical Analysis
• Applied Statistics
• +۵ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Assist. Prof. Dr. Yeşim AYDIN SON is a faculty member at Middle East Technical University (METU) Informatics Institute, Health Informatics Department, with a focus on translational bioinformatics and personalized medicine. She leads the METU Bioinformatics Graduate Program and has developed innovative software tools like METU-SNP and pi-SNP for genomic research. Education: MD from Hacettepe University Medical School, PhD in Genome Sciences & Technology from University of Tennessee, Knoxville Key Roles: Chair of Health Informatics Department, former Bioinformatics Program Coordinator Research Collaborations: University of Barcelona, European Institutes Her research integrates genomics and environmental data to advance clinical applications under P4 Medicine (Preventive, Predictive, Personalized, Participatory). She emphasizes translating bioinformatics findings into clinical decision support systems. She has received recognition for her work, including awards at the iGEM competition and funding through METU BAP, TUBITAK 1001, and Teknogirişim programs. Her team transformed the METU-SNP desktop application into a web-based platform and co-developed the M4B software for synthetic biology design. Scientific contributions include: Development of METU-SNP/pi-SNP for SNP-disease association analysis Leadership in FP7 project on chronic disease prediction via probabilistic methods Co-instruction of METU-BIN Software Team at iGEM

• Bioinformatics
• Translational Bioinformatics
• Personalized Medicine
• +۵ مورد دیگر

Burak Berk Üstündağ is a Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a key academic figure at ITU since the 1990s, progressing through the ranks from Research Assistant to full Professor, a position he attained in 2019. He has also held significant administrative roles, including Director of the Application and Research Center and membership in the ITU Informatics Institute Management Board. PhD, Control and Computer Engineering, Istanbul Technical University (2000) MSc, Control and Computer Engineering, Istanbul Technical University (1994) BSc, Electrical Engineering, Istanbul Technical University (1991) His research is deeply rooted in Artificial Intelligence , with a focus on Neural Networks , Wavelet-based models , and machine learning applications in environmental, agricultural, and maritime domains. He has developed frameworks like PECNET for multivariate time series forecasting and has pioneered work in cognitive communication systems, particularly for underwater and agricultural monitoring. His work bridges theoretical AI models with real-world applications in precision agriculture, water quality monitoring, and ionospheric forecasting. The most recent articles show a strong trend in applying deep learning (LSTM, DNNs) and hybrid models (Wavelet-NN) to complex, real-time systems. His research spans environmental data science , smart agriculture , underwater acoustics , and cognitive risk management . He emphasizes performance, real-time operation, and intelligence quantification in AI systems. His scientific awards include: Outstanding Young Scientist of the Year (2004) Junior Chamber International - Year's Professional Award (2003) Yılın Meslek Ödülü (2002) Service Award from Air Force Academy (2000) Gelişimine Katkı Ödülü from ITU (1996) Prof. Üstündağ has actively supervised research and led multiple projects as Principal Investigator, including national and institutional grants in AI-driven software systems, social media robots, real-time cognitive risk management, and elderly support devices. He has advised students in AI, neural networks, and intelligent systems, though specific names are not listed. His lab activities are centered around the Software Development Laboratory and cognitive systems research under various funded projects.

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۱۲ مورد دیگر

Seda Keskin Avcı serves as Professor in the Chemical and Biological Engineering Department at Koç University, Istanbul, directing the Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO). Appointed in 2010 and promoted to full professor in 2018, she holds the distinction of being Türkiye's youngest female professor in chemical engineering. Her research bridges computational modeling with experimental validation to develop advanced materials for sustainable energy solutions. Education: PhD, Georgia Institute of Technology (2009) MSc, Boğaziçi University (2006) BS, Boğaziçi University (2004) Professor Keskin's research focuses on AI-accelerated design of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for gas separation and carbon capture. She pioneers integration of molecular simulations with machine learning to predict material properties, specializing in ionic liquid composites and flexible frameworks. Her work targets critical energy challenges including CO 2 /N 2 separation, hydrogen purification, and acetylene/ethylene processing through computational-guided material discovery. Analysis of her 2024-2025 publications reveals a decisive shift toward artificial intelligence integration in materials science, with 80% of recent work combining machine learning with molecular simulations. Key themes include high-throughput screening of MOF/COF databases, development of IL-MOF composites for enhanced selectivity, and exploration of framework flexibility effects. This interdisciplinary approach has established new methodologies for accelerating materials discovery cycles in porous media research. Scientific Awards: ERC Starting Grant (2017) ERC Consolidator Grant (2023) Outstanding Women in Chemical Engineering by Chemical Engineering Research and Design TÜBİTAK Incentive Award (2013) TÜBA Gebip Award (2012) Professor Keskin leads the NEMO research group with significant funding including two landmark ERC grants - Türkiye's first for a female engineer in this field. Her group operates at the intersection of computational chemistry and chemical engineering, developing open-source simulation frameworks while maintaining strong industry partnerships for membrane technology commercialization. Current projects focus on scaling AI-designed materials for industrial carbon capture applications. The Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO) operates advanced computational infrastructure for molecular dynamics simulations and machine learning training. The group maintains collaborative ties with Georgia Tech, MIT, and European research consortia while actively developing experimental validation capabilities for computationally predicted materials through Koç University's nanotechnology center.

• Material Science
• Energy
• Artificial intelligence-guided material design and discovery
• +۲ مورد دیگر

Mehmet Ali Yüzer is an Associate Professor at the Department of Urban and Regional Planning , Istanbul Technical University . With a focus on Regional Planning , Urban Design , and City Planning , his work integrates computational methods and spatial modeling to address urban growth, land-use dynamics, and transportation systems. PhD in Urban Planning (Istanbul Technical University, 1997) MA in Urban Planning (Istanbul Technical University, 1991) Licence in Urban and Regional Planning (Istanbul Technical University, 1985) His research explores parcel-based estimation models , cellular automata for urban prediction, and gravity models for transportation demand. Key projects include analyzing the impact of high-speed rail systems on regional accessibility and developing frameworks for industrial area site selection and urban expansion assessment . Recent publications highlight his contributions to 3D urban growth modeling , land use change analysis , and industrial location prediction . Awards include multiple Honorable Mentions in national architectural and urban design competitions from 2001 to 2014. Scientific Awards : Bursa Kültürpark Competition (5th Honorable Mention, 2001); Çanakkale Social Housing Renewal (2014); ITU Ayazağa Campus Master Plan (1st Honorable Mention, 2012); Denizli Government Office Urban Design (1st Honorable Mention, 2009); Kadıköy Square Competition (2nd Honorable Mention, 2001) He has led projects such as the ITA Ayazağa Campus Urban Design , Socioeconomic Effects of High-Speed Rail , and Gravity Model Development for Istanbul’s Kayaşehir Region . His work emphasizes interdisciplinary collaboration and geospatial technologies.

• Regional Planning
• Urban Design
• City Planning
• +۴ مورد دیگر

Assoc. Prof. Dr. Zihni Onur UYGUN serves as an Associate Professor in the Department of Biochemistry at Ege University's Faculty of Medicine, Turkey. His research pioneers electrochemical biosensor technologies for advanced medical diagnostics, focusing on label-free detection systems integrating nanomaterials and molecular recognition elements. His academic journey includes: PhD in Medical Biochemistry (Ege University, 2016-2020) PhD in Biotechnology (Kafkas University, 2025) Postdoctoral Research (Clarkson University, USA, 2023-2024) Postdoctoral Research (Koç University, Turkey, 2022-2023) MS in Medical Biochemistry (Ege University, 2014-2016) MS in Chemistry (Çanakkale Onsekiz Mart University, 2010-2012) BS in Biochemistry (Ege University, 2005-2010) Dr. UYGUN's research focuses on nanobioelectrochemical systems for disease diagnostics, specializing in impedimetric biosensors , CRISPR-dCas9 technology , and molecularly imprinted polymers . His work targets cancer biomarkers (prostate, liver), infectious diseases (HIV), and inflammatory conditions (Crohn's disease) through non-invasive sampling methods. His publication trend (2022-2025) reveals strategic evolution toward AI-integrated point-of-care diagnostics using MXenes, MOFs, and machine learning. Recent work emphasizes saliva/urine-based detection and mobile health integration , with significant contributions to CRISPR-based DNA sensing and environmental contaminant monitoring. Scientific recognition includes: Leaders in Innovation Fellowship (2017) He actively secures TÜBİTAK funding including the 2218 Post-Doctoral Research Grant and 2250 Graduate Scholarship Program. His projects span chemical detection technologies and medical biosensor development, with collaborations at Koç University and Clarkson University. Dr. UYGUN leads translational research in electrochemical diagnostics, evidenced by 29+ publications and an h-index of 16 (Google Scholar). His laboratory specializes in impedimetric sensor fabrication and nanomaterial functionalization , currently developing systems for HIV detection, prostate cancer screening, and fertility assessment through paper-based colorimetric platforms.

• Biosensors
• Electrochemical Impedance Spectroscopy
• Molecularly Imprinted Polymers
• +۴ مورد دیگر

Zafer AYDIN is an Associate Professor at the Computer Engineering Department of Abdullah Gul University. He obtained his B.Sc. and M.Sc. from Bilkent University (Turkey) and his Ph.D. from Georgia Institute of Technology (USA). His research focuses on machine learning applications in bioinformatics, health informatics, and industrial problems. PhD: Georgia Institute of Technology (2008) Postdoc: University of Washington (2008-2011) Previous: Assistant Professor at Bahcesehir University (2011-2014) Research Interests include protein structure prediction, medical imaging analysis, network security, and financial data modeling. His work spans both fundamental bioinformatics research and practical industrial applications. Scientific Awards : 2nd in T0 phase of Respiratory Viral Dream Challenge (2016-2017) 1st in both question 1 and 2 prediction tasks of COVID-19 DREAM Challenge (2020-2021) Teaching includes undergraduate courses in Bioinformatics, Machine Learning, and Algorithms, and graduate courses in Deep Learning and Pattern Recognition.

• Bioinformatics
• Computational Biology
• Machine Learning
• +۵ مورد دیگر

Hakan Urey is a Professor of Electrical Engineering at Koç University, where he has held academic roles since 2001. He previously served as a visiting professor at Cambridge University (UK) and Boğaziçi University (Turkey). He obtained his BS from Middle East Technical University (1992), and MS/PhD from Georgia Institute of Technology (1996–1997). His professional experience includes roles at Microvision Inc., Bilkent University, and Georgia Tech Research Institute. He has pioneered developments in wearable AR displays, MEMS technologies, and biomedical sensors, earning over 60 patents and founding five tech startups. His research focuses on augmented reality systems, 3D displays, micro-optics, and sensor innovations. Education includes: Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology (1997) M.Sc., Electrical and Computer Engineering, Georgia Institute of Technology (1996) B.Sc., Electrical Engineering, Middle East Technical University (1992) Research interests span Augmented Reality , MEMS , 3D displays , and biomedical sensors . His work bridges optics, electronics, and healthcare, with notable contributions to holographic displays, implantable devices, and virtual reality applications. He has published over 200 papers and secured prestigious grants like the ERC Advanced Investigator Grant. Scientific awards include the Sedat Simavi Award (2019), Elginkan Foundation Science Award (2020), and multiple TÜBA/TUBITAK recognitions. His laboratories at Koç University develop cutting-edge technologies for wearable AR, medical diagnostics, and next-generation optical systems. Pioneering projects include MaR-T (mixed reality for preschool math education) and biomedical sensor platforms like biofeedback VR games for pediatric patients. His startups commercialize research outcomes in areas such as holographic displays and implantable electronics.

• Augmented Reality
• 3D Displays
• MEMS/MOEMS
• +۳ مورد دیگر

Professor Serap Durukan Köse is a faculty member at Muğla Sıtkı Koçman University's Faculty of Health Sciences, Department of Health Management and Health Policy and Planning. With extensive experience in health management and policy, she contributes significantly to healthcare administration education and research. Her academic journey began at Hacettepe University, where she earned her Bachelor's, Master's, and Doctorate degrees in Health Administration and Health Management. Dr. Durukan Köse completed her Bachelor's degree in Health Administration at Hacettepe University (1998-2003), followed by a Master's degree in Health Management (2003-2006), and ultimately earned her Doctorate in Health Management (2007-2012), all from Hacettepe University's Institute of Health Sciences. This strong educational foundation in health administration has positioned her as an expert in healthcare management and policy. Her research interests span health management, health policy, organizational behavior in healthcare settings, cost analysis in healthcare institutions, and public health administration. She has made significant contributions to understanding organizational justice, job satisfaction, burnout among healthcare personnel, and the economic aspects of healthcare delivery. Her work bridges theoretical organizational concepts with practical healthcare management applications. An analysis of her recent publications reveals a strong focus on health policy development, particularly in oral health services and healthcare reform models. She has increasingly concentrated on cost analysis methodologies in specialized healthcare settings like palliative care and assisted reproductive technology. Her research demonstrates a consistent pattern of applying organizational theory to healthcare management challenges. Dr. Durukan Köse has held significant administrative roles including Department Head (2022), Head of Academic Discipline (2020-2023), and Faculty Board Member (2020-2022). She has supervised numerous graduate students and participated in multiple research projects including the 'Turkey's Health Transformation and Social Security Reform Project' as a cost accounting consultant (2014-2015) and the 'Cost Accounting System Establishment Project in Ministry of Health Revolving Fund Enterprises' (2011-2012).

• Health Management
• Health Policy
• Healthcare Administration
• +۶ مورد دیگر