جستجوی استاد راهنمای دانشگاهی

• Laser Scanning
• Point Cloud Processing
• Geospatial Information Systems
• +۳ مورد دیگر

Tamás Lovas serves as Associate Professor at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches advanced courses in Building Information Modeling, Laser Scanning, Remote Sensing, and Intelligent Transportation Systems while supervising diploma theses in Surveying and Geoinformatics Engineering. Education: 1994: High school graduation, Városmajor High School, Budapest 1999: Certified Surveyor and Geoinformatics Engineer, Budapest University of Technology, Faculty of Civil Engineering 2005: PhD (Earth Sciences), Budapest University of Technology and Economics, Faculty of Civil Engineering Research Interests: Dr. Lovas specializes in laser scanning technologies and geospatial data processing with emphasis on airborne and terrestrial point cloud analysis. His work bridges civil engineering applications and computational methods, particularly in infrastructure monitoring and digital representation. Processing, classification, and modeling of airborne laser scanned data Accuracy testing of terrestrial laser scanning Processing and modeling of terrestrial laser scanned data Comparative study of spatial data acquisition technologies His 2022-2025 publications demonstrate accelerating integration of artificial intelligence in point cloud processing, with significant contributions to road surface extraction, urban land cover classification, and BIM automation. Current research trends show strong focus on digital twin development for autonomous vehicles and infrastructure management. Scientific Awards: Republic Scholarship (1998-1999) Karlsruhe Chancellor's Scholarship (1999) ERASMUS scholarship (2000) Korányi Fellowship (2001-2002) János Bolyai Research Scholarship (2008-2011) OHV 1st place (2008) Dean's commendation for ERASMUS committee work (2014) For Students Award - Teaching Department (2017) Advising and Grants: Dr. Lovas mentors students through diploma theses and TDK research projects on topics including object survey with amateur sensors and hull modeling. His research funding includes the prestigious János Bolyai Research Scholarship and international fellowships supporting collaborations with institutions like The Ohio State University. Labs and Teams: As founding member and supervisory board member of the Hungarian BIM Association, he drives industry-academia collaboration. His leadership roles include Deputy Dean of Education at the Faculty of Civil Engineering and responsibility for English language training programs, facilitating international academic exchange.

• Otorhinolaryngology
• Neurobiology
• Hearing Loss
• +۶ مورد دیگر

Luis Angel Vallejo Valdezate is a Professor at the University of Valladolid, affiliated with the Department of Surgery, Ophthalmology, Otorhinolaryngology and Physiotherapy. He is associated with the Castile and Leon Institute of Neuroscience and has contributed extensively to research in Otorhinolaryngology, Hearing Loss, and Neurobiology. Education: PhD (1996) from the University of Valladolid Primary Affiliation: Castile and Leon Institute of Neuroscience (1FA Center) His research focuses on auditory physiology, surgical techniques in otology, and anatomical variations affecting endocrine and ear surgeries. He has pioneered innovations in middle ear prosthetics and nasal obstruction diagnostics. Recent publications highlight advancements in vestibular schwannoma management, thyroid surgery, and mecanoacoustic modeling. His work bridges clinical practice with computational analysis, emphasizing therapeutic success metrics and anatomical precision. He has supervised PhD research, including studies on olfactory bulb modifications following early sensory deprivation, though specific student names are not listed in the provided text.

Milan Marjanovićمشاهده پروفایل

استادیار

• Thermal Engineering
• Thermoenergetics
• Renewable Energy
• +۷ مورد دیگر

Milan Marjanović is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. Holding an M.Sc. in Mechanical Engineering, he teaches Thermodynamics, Applied Thermodynamics, Renewable Energy Sources, and Machine Elements. His research focuses on Thermal Engineering, Thermoenergetics, and Renewable Energy systems. Born 1990 in Užice Completed primary/secondary education in Požega Faculty of Mechanical Engineering and Civil Engineering, Kraljevo (2012) Master's in Energy Engineering (2014) Research spans biomass combustion optimization, solar energy systems, and hydraulic simulation tools. Active in academic projects like the national PRIZMA 2023 initiative for Active Condensation Hybrid Systems. Key publications include work on: Biomass-fired district heating efficiency AI-driven solar energy prediction models Hybrid photovoltaic-thermal collector testing Industry 4.0 curriculum development for Mechatronics Scientific contributions appear in journals like Case Studies in Thermal Engineering and conferences including COAST 2024. Awards include Ministry scholarships and 'Mašinijada' competition victories. Collaborates with industry partners on mechanical testing equipment development.

• Renewable Energy Systems
• Energy Storage
• Demand Response
• +۵ مورد دیگر

Dr. Fadi Kahwash serves as a Lecturer in Mechanical Engineering within the School of Computing, Engineering and the Built Environment at Edinburgh Napier University, where he teaches design and energy-related modules. He joined Napier University in 2021 after working as a research assistant and research fellow at Northumbria University, where he participated in EU-funded projects including Erasmus+ for renewable energy teaching and Horizon 2020 for research initiatives. Dr. Kahwash earned his PhD in Mechanical Engineering in 2018 from Northumbria University with research focused on novel numerical methods applied to modeling machining of composite materials. His educational background established the foundation for his expertise in physics-based modeling and simulation techniques that continue to drive his research agenda. His research spans renewable technologies, energy storage, aerodynamics, materials science, and manufacturing processes, unified by a common thread of physics-based modeling and numerical methods. Recent work demonstrates increasing focus on practical applications in healthcare energy systems, residential multi-energy integration, and biodegradable medical implants through additive manufacturing. His publications reveal a strategic evolution from fundamental machining simulations toward applied energy solutions addressing real-world sustainability challenges. Dr. Kahwash's recent publications show strong emphasis on energy system integration for healthcare facilities, residential applications, and industrial processes. His work combines theoretical modeling with practical implementation considerations, particularly in unreliable grid environments and specialized applications like medical facilities. The research demonstrates sophisticated understanding of both technical and economic aspects of energy systems. Fellowship of the Higher Education Academy (FHEA) Member of the Institution of Mechanical Engineers (MIMechE) Chartered Engineer (CEng) Dr. Kahwash actively supervises multiple PhD students on projects including energy management strategies for hybrid renewable systems, work and heat exchange networks for hydrogen industry, photovoltaic integration in buildings, and optimization of additively manufactured medical parts. His research portfolio includes significant funding from diverse sources including the British Council (£80,000 for Resilient & Green Healthcare in Egypt), EPSRC (£49,531 for Multi-Scale Energy Systems Modelling), and Scottish Funding Council (multiple £4,999-5,000 grants for energy storage projects). These projects demonstrate his ability to secure competitive funding for applied research addressing energy sustainability challenges. His work involves collaboration with multiple research teams including Energy Systems Catapult, Northumbria University researchers, and international partners in Egypt. Current projects focus on developing AI-aided energy management software, modular energy storage solutions, and innovative approaches to healthcare facility power resilience, reflecting a strategic research direction toward practical, implementable energy solutions for critical infrastructure.

Gary Allenمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Distributed Systems Development
• Aspect Oriented Programming
• +۱۳ مورد دیگر

Gary Allen is a Senior Lecturer in the Department of Computer Science at the School of Computing and Engineering, University of Huddersfield. He is an active member of the Centre for Planning, Autonomy and Representation of Knowledge, the Centre for Sustainable Software Engineering, the Centre for Sustainable Computing, and an affiliate of the Centre for Autonomous and Intelligent Systems. He holds a PhD in Software Development Methods for Educational Use and has been with the university since 1990, first as a research assistant and then as a full-time lecturer since 1995. His research interests include: Software Engineering Distributed and Client-Server Systems Aspect-Oriented Programming Object-Oriented Analysis and Design Design Patterns Java Programming and JavaSpaces Software Engineering Education Integrated Project Support Environments His recent publications reflect a strong focus on software quality, empirical evaluation of programming paradigms, and educational applications of software engineering. He has contributed to studies on automated testing adoption, hybrid programming systems, and UML extensions, demonstrating a consistent thread in software design, modularity, and educational technology. His scientific contributions are aligned with sustainable computing and autonomous systems, supporting UN Sustainable Development Goals. He actively participates in peer-review for journals such as the Journal of Software: Evolution and Process and international conferences. He supervises PhD students and has been involved in multiple research supervision activities. His work integrates teaching and research, particularly in practical and pedagogical aspects of computer science. He is also engaged in activities related to knowledge representation and intelligent systems through his centre affiliations.

• Business Intelligence
• Data Warehousing
• OLAP
• +۷ مورد دیگر

Orlando Manuel Oliveira Belo is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where he has been a member of the Department of Informatics since 1986. He is also a Senior Researcher at the ALGORITMI R&D Centre, and a member of both the CST R&D Group and ISLab R&D Lab. His academic career spans over three decades, with significant contributions to the fields of Business Intelligence, Data Warehousing, and Data Mining. His educational background includes: 5-year degree in Systems and Informatics Engineering (1986) "Provas de Aptidão Pedagógica e Capacidade Científica" (MSc equivalent) in Expert Systems (1991) Ph.D. in Multi-Agent Systems (1998) Habilitation (2013) Professor Belo's research primarily focuses on Business Intelligence and related areas including Data Warehousing Systems, OLAP, Dashboarding, and Data Mining. His work has significant practical applications in fraud detection and control in telecommunication systems, data quality evaluation, and ETL systems for industrial data warehousing. In recent years, his research has expanded into Ontology Learning and Sentiment Analysis, with applications in healthcare analytics, particularly in cardiovascular health monitoring and dermatology. His interdisciplinary approach bridges computer science with practical business and healthcare applications, demonstrating the versatility of data analytics across different domains. His recent publications (2023-2025) show a clear trend toward integrating advanced machine learning techniques with domain-specific knowledge, particularly in healthcare applications. He has published extensively on sentiment analysis, ontologies, and data warehousing, with a growing emphasis on medical applications including atopic dermatitis and cardiovascular health. His work demonstrates a progression from foundational data warehousing and ETL research to more specialized applications in precision medicine and well-being analytics, reflecting the evolving landscape of data science applications. Professor Belo has an impressive publication record with 181 publications, including 26 in Q1/Q2 journals, and has accumulated 468 citations, resulting in an h-index of 11. His editorial contributions further demonstrate his standing in the academic community. As a dedicated researcher and educator, Professor Belo has been instrumental in developing computational platforms for specific applications and has contributed significantly to the advancement of Business Intelligence methodologies. His work with the ALGORITMI R&D Centre has fostered numerous collaborative projects and has positioned him as a key figure in data analytics research at the University of Minho. His laboratory affiliations include the CST R&D Group and ISLab R&D Lab, where he continues to lead research initiatives in Business Intelligence, Data Mining, and their applications across various domains including healthcare, telecommunications, and business analytics.

Alexander C. Schreyerمشاهده پروفایل

مدرس ارشد

• 3D CAD and BIM applications in architecture and construction
• Digital fabrication and 3D printing
• Wood-concrete composite structural systems
• +۷ مورد دیگر

Alexander C. Schreyer is a Senior Lecturer II and Associate Department Head in the Department of Environmental Conservation at the University of Massachusetts Amherst. He serves as Program Director for the Building and Construction Technology (BCT) program and Director of the Trimble Technology Lab at UMass Amherst. His professional roles encompass teaching, research, and leadership in the fields of architectural design, construction technology, and wood engineering. Mr. Schreyer holds an M.A.Sc. in Wood Science from the University of British Columbia, Vancouver, Canada, and a Dipl.-Ing. (B.S. in Civil Engineering) from RheinMain University of Applied Sciences. His educational background combines structural engineering, wood science, and digital design expertise. Mr. Schreyer's research interests span the entire range of planning, design, and execution of buildings and structures, with a particular focus on: 3D CAD and BIM applications in architecture and construction Digital fabrication and 3D printing technologies Wood-concrete composite structural systems Fasteners and connection systems for wood structures Structural upgrading of historic buildings Structural optimization using artificial intelligence Web applications for research and teaching His scholarly work demonstrates a consistent focus on practical applications of digital technologies in construction and structural engineering, with particular emphasis on wood-based systems. Over the past decade, his research has evolved from fundamental material testing to the development of computational models and digital tools for design and construction. The integration of traditional structural engineering with emerging digital technologies represents a distinctive thread throughout his publication record. Mr. Schreyer is the author of "Architectural Design with SketchUp," a widely used reference that provides techniques for utilizing Trimble SketchUp in architectural design. He is also co-author of the extensively used textbook "Fundamentals of Residential Construction," which covers materials and methods in residential building. As an educator, Mr. Schreyer teaches several courses including: BCT 204 – Construction Materials & Methods BCT 304 – Properties of Wood BCT 420 – Designing with 3D CAD & BIM BCT 492A – Jobs and Professional Life in BCT ECO 620 – Studies in Building Information Modeling He has directed numerous student projects and likely advised many students through the Building and Construction Technology program, though specific student names are not listed in the available materials. His work with the Trimble Technology Lab provides students with hands-on experience in digital design and fabrication technologies. Mr. Schreyer has been instrumental in the development and implementation of the J.W. Olver Design Building at UMass Amherst, which serves as a case study for mass timber construction in the United States. His work bridges the gap between theoretical knowledge and practical application in construction technology.

Kazeem Oluwakemi Oseniمشاهده پروفایل

مدرس ارشد

• E-Government
• Big Data & AI
• Project Management and Digital Transformation
• +۳ مورد دیگر

Dr. Kazeem Oluwakemi Oseni is a Senior Lecturer in Information Technology at the University of Bedfordshire's School of Computer Science and Technology, part of the Faculty of Creative Arts, Technologies and Science. He holds a PhD in Computer Science (E-Service) from the University of Portsmouth (2017), an MSc in Computer Science from Staffordshire University (2006), and a BSc (Hons) in Computer Science from the Federal University of Technology, Akure, Nigeria (2000). His teaching expertise spans Information Systems Project Management, Research Methods, Web Development (HTML5/CSS3), System Analysis and Design, and Data Analytics. His research focuses on E-Government, Big Data/AI, Digital Transformation, and Social Network Analysis. He has held roles including Assistant Professor at the University of Dundee and Associate Professor/Director of Programme at Richmond, The American International University in London. His research trends emphasize practical solutions for governance, environmental monitoring, and societal challenges, leveraging AI, GIS, and machine learning. He has supervised two PhD students and contributed to over 12 peer-reviewed publications since 2014. He is a Fellow of the Higher Education Academy (FHEA) and holds certifications in leadership and software testing. Dr. Oseni actively participates in interdisciplinary projects, such as the Institute for Research in Applicable Computing (IRAC), and advocates for technology-driven solutions in education and community development.

Joel Grodsteinمشاهده پروفایل

مدرس

• VLSI Design
• Computer Architecture
• Computer-Aided Design (CAD)
• +۴ مورد دیگر

Joel Grodstein is a Lecturer in the Department of Electrical Engineering at Tufts University's College of Engineering. He holds a BSEE from Case Western Reserve University (1981) and an MSCS from the University of Utah (1986). His research spans VLSI design, computer architecture, and interdisciplinary bioelectricity studies, focusing on the intersection of hardware-software systems and biological applications. He teaches courses on real-time embedded systems, parallel computing, bioelectricity, and digital design verification. His career includes roles at Digital Equipment Corporation, Compaq, Intel, and now academia. His recent work bridges computational modeling of bioelectric networks with traditional hardware design, as seen in collaborations with Mike Levin's lab at Tufts. Courses like EE 123 (Bioelectricity) and new offerings like EE 152 (Real-Time Embedded Systems) reflect this dual focus. Publications emphasize symbolic timing analysis, CAD tools for VLSI, and bioelectric systems. He has advised no listed students but collaborates actively with industry partners (e.g., NVIDIA for EE 165). His lab work involves biophysical modeling and synthetic biology projects, as detailed in his recent bioelectricity-related papers.

Giulia Wally Scuratiمشاهده پروفایل

پژوهشگر ارشد

• Mechanical Engineering
• Product Design
• Sustainable Behavior
• +۴ مورد دیگر

Giulia Wally Scurati is a Postdoctoral Fellow at the Department of Mechanical Engineering, Blekinge Institute of Technology, specializing in using virtual reality (VR) , augmented reality (AR) , and serious games for sustainable behavior change and product development. Her research spans mechanical engineering , human-computer interaction , and environmental psychology . She has a PhD in Mechanical Engineering from Politecnico di Milano, with a thesis on design methods for VR/AR in sustainable behavior. Current projects include AXESS (Assessment in XR Environments for Sustainable Solutions). Key Research Areas: Sustainable behavior, VR/AR applications, product-service systems (PSS), multisensory feedback, gamification, and human-robot interaction. Collaborations: Works with institutions like Politecnico di Milano, Politecnico di Torino, and University of Twente.

• Domain-Specific Modeling Language Engineering
• Modeling & Meta-modeling
• Software Architecture Engineering
• +۴ مورد دیگر

Vincent Englebert is a Professor at the University of Namur's Faculty of Computer Science, where he is affiliated with the Research Center on Information Systems Engineering (PReCISE) and the Namur Digital Institute (NADI). His office is located in the IT Building at Rue Grandgagnage, 21 in Namur, Belgium. He teaches courses including Organisational and Business Modelling, Software Architecture Engineering, and Software Engineering Laboratory for the 2023-2026 academic period. Bachelor and Master in Computer Science (University of Namur) Doctor of Science in Computer Science (2000), thesis: 'A smart Meta-CASE: towards an integrated solution' Englebert's research focuses on Domain-Specific Modeling Language (DSML) Engineering, Modeling & Meta-modeling, and Software Architecture Engineering, with additional interest in Computers and Aging applications. His work spans theoretical foundations of modeling languages to practical applications in business processes and aging populations. The fingerprint of his research shows strong emphasis on design (100%), engineering (78%), computer codes (70%), Reverse Engineering (63%), architecture (60%), tools (56%), modeling (55%), and transformations (50%). His recent publications (2020-2024) demonstrate continued productivity in model-driven engineering, with particular focus on software product lines, feature modeling, and applications for aging populations. These works show a clear trajectory from theoretical modeling foundations to practical implementations and societal applications. Best paper at International Conference Modelsward'2014 Englebert has supervised numerous research projects, including the current e-Anacarde: Digitalisation project (2024-2028) and previously led major initiatives like UsiXML and METADONE. He has been active in media and public engagement, particularly regarding computer science education in schools, with multiple expert commentaries in 2016. His external responsibilities have included significant leadership positions, notably as Dean of the Faculty of Computer Science (2015-2019) and Director of the PRECISE/IS research center (until 2011). He is active in research networks and collaborations, with recent external collaborations spanning multiple countries. His work with the NAM-IP Museum demonstrates ongoing engagement with cultural institutions, while his presentations on Alzheimer's disease and computer technology show commitment to applying informatics to societal challenges.

Cameron J. Turnerمشاهده پروفایل

دانشیار

• Computational Design
• Engineering Design
• Design Optimization
• +۷ مورد دیگر

Dr. Cameron J. Turner serves as Associate Professor in Clemson University's College of Engineering, Computing and Applied Sciences since 2016, teaching engineering design methods, optimization, mechanical systems, and CAD/CAM. His research bridges computational capabilities with engineering design processes across multiple domains. His academic credentials include: Ph.D. in Mechanical Engineering from The University of Texas at Austin (2005) MSE from The University of Texas at Austin (2000) BSME from the University of Wyoming (1997) Turner's research centers on Computational Design Methods with emphasis on design analogy identification , early-stage problem modeling , surrogate modeling for complex systems , and additive manufacturing automation . His work integrates digital twin technology, tradespace exploration, and function-based design to solve engineering challenges in nonlinear and uncertain environments. Current investigations focus on immersive virtual environments for design reviews and intelligent robotic systems. Recent publications reveal accelerating research in digital twin applications for vehicle design, tradespace exploration methodologies, and data-driven decision support systems. These works span mechanical engineering, computer science, and systems engineering with strong emphasis on practical implementation in manufacturing and robotics. His professional recognition includes: CSM Design Program Director’s Award for service to capstone design program (2015) Turner actively shapes engineering education through leadership roles as Program Chair for ASME's CIE Division Executive Committee and member of ASME's International Design Simulation Competition Committee. His service extends to ASEE design communities and the Design Society, demonstrating commitment to advancing design pedagogy and practice. Current projects indicate expanding work in ground vehicle digital agents and Stewart platform calibration techniques. While specific laboratory details weren't provided, his research trajectory suggests active collaboration with computational design groups focusing on digital manufacturing and autonomous systems integration.

Jaskirat Sodhiمشاهده پروفایل

مدرس ارشد

• Engineering Education
• Educational Technology
• Active Learning Strategies
• +۳ مورد دیگر

Jaskirat Sodhi is a Senior Lecturer in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). He holds a Ph.D. in Mechanical Engineering from NJIT and a B.S. in Aeronautical Engineering from Punjab University. His work focuses on innovative teaching methodologies, inclusive design in engineering education, and improving student engagement through active learning strategies. He has developed courses such as Introduction to Computer Aided Design (ME 430) and Analysis and Design of Machine Elements (MET 301) , integrating hands-on projects and technology tools like MATLAB and 3D printing. Dr. Sodhi’s research interests include curriculum development for first-year engineering students, embedding ethics into introductory courses, and addressing challenges in online education during the pandemic. He has pioneered initiatives like the GIFTS program to enhance self-development through engineering design projects, and Milestones-Based Learning frameworks to boost student performance. His work often involves collaborative projects with librarians and interdisciplinary teams to improve research and writing skills among undergraduates. He has presented extensively at workshops on topics such as competition-based drone education, cheating prevention strategies, and inclusive design modules. His earlier research in materials science includes studies on light-activated shape memory polymers, reflecting his background in mechanical engineering.

• Business Analytics
• Data Science
• Crowdsourcing
• +۵ مورد دیگر

Prof. Dr. Ivo Blohm is an Associate Professor of Information Management with a focus on Business Analytics at the Hasso Plattner Institute of Management and Digitization (HPI-St. Gallen), University of St. Gallen. His work bridges academic research and practical applications in digital transformation, with expertise spanning AI-driven decision support systems, crowdsourcing governance, and agile work practices. He holds a leadership role in advancing data science methodologies and their integration into organizational frameworks. His research interests emphasize leveraging AI and data analytics to enhance business processes, particularly through generative AI architectures, decision-making interfaces, and platform-driven innovation. Notable contributions include frameworks for conversational AI implementation, governance mechanisms for crowdfunding platforms, and strategies for internal crowd work empowerment. He has collaborated with organizations like Lufthansa to design leadership development programs for data-driven transformation. Blohm's publications (2014-2025) explore topics such as AI accountability in workplaces, hybrid human-AI creativity systems, and the socio-technical dynamics of digital work. His work often addresses ethical dimensions of emerging technologies and their implications for organizational structures. Despite his prolific output, no scientific awards are explicitly listed in the provided materials. His advising and grant activities are not detailed here, though his research collaborations indicate engagement with industry partners. He is actively involved in designing frameworks for data products (e.g., data mesh) and refining agile practices in large-scale organizations. No specific lab affiliations are mentioned, though his work often involves cross-disciplinary teams focusing on digital innovation challenges.

• Blockchain Technology
• Cyber Security
• Computer Networks
• +۶ مورد دیگر

Enis Karaarslan is a Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. With a distinguished academic career spanning over two decades, he has established himself as a leading expert in blockchain technology, cybersecurity, and decentralized systems. His educational background includes a Bachelor's, Master's, and Doctorate all from Ege University, completed between 1994 and 2008. Dr. Karaarslan's research interests focus on the intersection of emerging technologies and practical applications, particularly in blockchain for disaster management, cybersecurity systems, metaverse technologies, and AI applications. His work demonstrates a consistent pattern of addressing real-world challenges through technological innovation, with a strong emphasis on privacy preservation and decentralized architectures. Analysis of his publication record reveals a significant trend toward blockchain applications across various domains including disaster response, healthcare, voting systems, and identity management. His recent work shows increasing focus on metaverse technologies and digital twin applications, reflecting his ability to stay at the forefront of emerging technological paradigms. The breadth of his research spans from theoretical foundations to practical implementations, with numerous papers addressing performance metrics, security evaluations, and real-world case studies. Best Paper Award (2016) Multiple TÜBİTAK research projects as principal investigator or consultant Extensive editorial work for journals including Journal of Metaverse As an educator, Dr. Karaarslan has supervised numerous graduate students through their thesis work and teaches advanced courses in computer networks, decentralized systems, and cybersecurity. His research projects demonstrate strong industry and government collaboration, particularly with TÜBİTAK-funded initiatives addressing national security, privacy concerns, and technological infrastructure development. His laboratory work focuses on practical implementations of theoretical concepts, with emphasis on testbed development for blockchain applications and security evaluation frameworks.