جست‌وجوی استاد و پژوهشگر

Steven Bellمشاهده پروفایل

استاد آموزشی

• Engineering Education
• Embedded Systems
• Camera Systems
• +۳ مورد دیگر

Steven Bell is an Associate Teaching Professor in the Department of Electrical and Computer Engineering at Tufts University's School of Engineering. He has held roles including Assistant Teaching Professor (2019–2024) and Lecturer (2018–2019). His research focuses on engineering education, embedded systems, camera systems, and computational photography. He actively develops educational tools like VHDLweb , an online platform for learning VHDL, and advocates for affordable lab solutions using low-cost FPGAs. Bell has received the Teaching with Technology Awards Honorable Mention (2022) and the Tufts Teaching with Technology Award (2019) for his contributions to pedagogy. He teaches courses such as Embedded Systems, Intro to Computing in Engineering, and Special Topics in Advanced Embedded Systems. His professional activities include roles on the SoE Academic Standing Committee and First-Year Experience planning subcommittee. He has also secured grants, including the Affordable Course Materials grant (2022–2023). Bell's GitHub repositories showcase projects like VHDLweb , UPduino , and FPGA tools for educational and research use. His work emphasizes bridging theoretical concepts with hands-on, accessible engineering practices.

Yojiro Ishinoمشاهده پروفایل

استاد

• Thermal Engineering
• Fluid Engineering
• Combustion Engineering
• +۵ مورد دیگر

Professor Yojiro Ishino is a distinguished faculty member at Nagoya Institute of Technology, serving in the Department of Electrical and Mechanical Engineering, Mechanical Engineering Field within the Graduate School of Engineering. With a Doctor of Engineering degree from Nagoya Institute of Technology, he has established himself as a leading researcher in thermal and fluid engineering, with particular expertise in combustion diagnostics and microfluidics. His research interests span Thermal and fluid engineering Combustion diagnostics using advanced CT methods Microjet and microfluidic phenomena Energy conversion systems Environmentally conscious combustion technologies including ammonia burners His work has significantly advanced the field of combustion visualization through the development of multi-directional schlieren imaging and 3D-CT techniques for capturing instantaneous flow fields. Professor Ishino's recent publications demonstrate a strong focus on high-precision measurement techniques for combustion phenomena, with particular emphasis on micro-scale flows and environmentally friendly fuel systems. His research group has made notable contributions to understanding supersonic microjets, equivalence ratio distributions in premixed gases, and innovative approaches to noise reduction in optical diagnostics. A significant portion of his recent work addresses environmentally conscious combustion technologies, particularly the development of ammonia-based burners as alternative fuel systems. His scientific achievements have been recognized with numerous awards including: FELLOW of The Japan Society of Mechanical Engineering Best Research Paper Award from American Society of Thermal and Fluids Engineers Multiple Excellent Poster Presentation Awards from the Automobile Technology Association Best Presentation Award from the Combustion Society of Japan Professor Ishino has secured significant research funding, including Grants-in-Aid for Scientific Research, and maintains active collaborations with industry partners such as Narita Seito and Kato Ironworks Burner Manufacturing. His current research projects focus on environmentally considerate ammonia gas burners and vibration-free engine technologies. He also holds multiple patents related to burners, vibration-free mechanisms, and wearable devices for thermal haptics. As an educator, Professor Ishino teaches courses in combustion engineering, engine engineering, and thermal fluid measurement techniques, with a commitment to hands-on learning through flame demonstrations and equipment disassembly practice.

Bhuvana Krishnaswamyمشاهده پروفایل

استادیار

• Wireless Networks
• Low-Power Wireless Systems
• Internet-of-Things (IoT)
• +۴ مورد دیگر

Bhuvana Krishnaswamy is an Assistant Professor at the Department of Electrical and Computer Engineering, University of Wisconsin–Madison, with an affiliation in Biomedical Engineering. She is an award-winning researcher and educator specializing in Communications, Networks, Privacy, and Security , blending wireless systems with biological applications. PhD, Georgia Institute of Technology (2018) MS, Georgia Institute of Technology (2013) BS, College of Engineering (2011) Her research spans Wireless Networks , Low-Power Systems , IoT , and Molecular Communication , focusing on scalable, efficient, and innovative network designs. She has pioneered frameworks like Cloud-LoRa and BYOG for LoRaWAN optimization, alongside bio-inspired systems such as PACT and molecular network protocols. Recent publications emphasize AI-driven bandwidth adaptation , battery-less communication , and satellite interference mitigation . Her work also intersects with environmental monitoring (e.g., soil CO2 sensing) and biomedical engineering. Scientific Awards : IEEE Senior Member (2024) NSF CAREER Award (2022) WARF Innovation Award Finalist (2020, 2019) Early Career Innovator Award (2023) N2Women Rising Star (2022) Bhuvana teaches courses like Introduction to Computer Engineering and Communication Networks , emphasizing the integration of research into pedagogy. Her lab collaborates on projects involving wireless systems, IoT, and molecular networks, supported by grants such as the NSF CAREER award.

SJ Kimمشاهده پروفایل

دانشیار

• Intelligent Interactive Media and Systems
• Human-Computer Interaction
• Augmented and Virtual Reality
• +۵ مورد دیگر

SJ (Si Jung) Kim, Ph.D. is an Associate Professor in the Department of Entertainment Engineering and Design at the Howard R. Hughes College of Engineering, University of Nevada, Las Vegas (UNLV) , and serves as the founding director of the Digital Experience Lab (DEX Lab) . With more than 20 years of interdisciplinary experience spanning human-computer interaction, mechatronics, and intelligent systems, he leads cutting-edge research that bridges cyber-physical systems and interactive media to enhance user experiences. Education: Ph.D. in Human-Computer Interaction (HCI) M.S. in Robotics B.S. in Electronic/Mechatronics Engineering Research Interests: Dr. Kim’s work centers on intelligent interactive interfaces and technologies grounded in human-factors theory and HCI principles. Core areas include: Design and evaluation of immersive AR/VR systems Machine-learning-driven human augmentation Cyber-physical systems that seamlessly merge physical and digital worlds User-centered design of next-generation entertainment and educational technologies His research agenda emphasizes interdisciplinary collaboration to push technological boundaries while ensuring meaningful human benefit. Publication Landscape: Across 50+ peer-reviewed works from 1998 to 2024, Dr. Kim’s scholarship reveals three dominant trajectories: (1) convergence of mixed reality and IoT/digital-twin ecosystems, (2) empirical studies on user presence, cognition, and performance in virtual environments, and (3) development of novel hardware–software platforms for education, healthcare, and entertainment. These contributions collectively advance the theoretical and practical frameworks for intelligent interactive systems. Professional Appointments & Collaborations: Associate Professor, UNLV (current) Director, Digital Experience Lab (DEX Lab) Former roles: Samsung Electronics, Korea Institute of Science & Technology (KIST), Electronics and Telecommunications Research Institute (ETRI), and HP Labs, Palo Alto (intern) Labs & Teams: The DEX Lab under Dr. Kim’s direction is dedicated to exploring and advancing intelligent interactive media and systems. The lab fosters an environment of collaboration among graduate researchers and industry partners, focusing on projects that integrate AR/VR, AI, and IoT to create transformative user experiences.

• Image processing
• 3D visualization
• Virtual Reality
• +۷ مورد دیگر

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

Slavko Žitnikمشاهده پروفایل

دانشیار

• information retrieval
• information extraction
• natural language processing
• +۷ مورد دیگر

Slavko Žitnik is an Associate Professor and Vice-dean at the Faculty of Computer and Information Science, University of Ljubljana, where he is a member of the Laboratory for Data Technologies. His academic career spans multiple research projects and international collaborations focusing on data technologies and natural language processing. His primary research interests include information retrieval, information extraction, natural language processing, entity extraction, relationship extraction, coreference resolution, data merging, redundancy elimination, and ontologies. Dr. Žitnik's work often bridges theoretical computer science with practical applications in various domains including education, healthcare, and smart city ecosystems. Dr. Žitnik has led and participated in numerous significant research projects including P2-0359 on Ubiquitous Computing (2023-2027), PoVeJMo on Adaptive Natural Language Processing with Large Language Models (2023-2026), and the GOBLIN COST Action for building global networks of large-scale knowledge graphs. His recent work demonstrates a strong focus on adapting natural language processing techniques with large language models and creating practical applications of these technologies. His scientific contributions span multiple domains including: Natural Language Processing and Information Extraction techniques Knowledge graph construction and integration Applications in education, healthcare, and smart city ecosystems Development of practical tools and systems for data processing Dr. Žitnik has established international collaborations with institutions including Harvard University's Department of Biomedical Informatics (where he conducted a research visit from July to October 2022), the University of South Florida, and various European partners through COST Actions and other collaborative frameworks.

Ulrich Bükerمشاهده پروفایل

استاد

• Artificial Intelligence
• Autonomous Driving
• Computer Vision
• +۳ مورد دیگر

Prof. Ulrich Büker is a faculty member at TH OWL since 2022, leading the Intelligent Systems research group at inIT (Institute for Industrial Information Technology). He became deputy head of inIT in 2024 and Vice Dean of Department 5 in 2025. His work bridges academic research and industrial applications in intelligent systems. Education : Diploma in Computer Science (University of Paderborn), Doctorate and Habilitation in Electrical Engineering and Information Technology (University of Paderborn). Research Interests include: Application-oriented artificial intelligence for automation and mobility systems. Autonomous driving with focus on scenario generation and vision-based control. Computer vision for robotics and industrial applications. Embedded systems in battery electric vehicles. Article Trends demonstrate expertise in autonomous systems, computer vision, and industrial applications, spanning from foundational 2000s work on hybrid object models to recent LLM-driven autonomous driving scenario generation . Key sub-fields include neural networks, image processing, and vehicle energy management. Professional Contributions include: Industrial leadership roles at Aptiv , Delphi , and Hella . Membership in German Informatics Society (GI) and German Society for Pattern Recognition (DAGM) . Patents in image segmentation (DE000010250781, EP000001416441).

Helia Farhoodمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Machine Learning
• Image Processing
• +۳ مورد دیگر

Dr. Helia Farhood is an Honorary Senior Research Fellow at the School of Computing, Macquarie University, specializing in Artificial Intelligence, Machine Learning, and Image Processing with applications in educational technology and object recognition. Her academic qualifications include a PhD in Computer Systems and Artificial Intelligence from the University of Technology Sydney (awarded November 2021) and a Master's degree in Computer-AI from Amirkabir University of Technology (Tehran Polytechnic, awarded September 2013). Dr. Farhood's research spans interdisciplinary AI applications, with significant contributions in student outcome prediction using generative adversarial networks, explainable AI through LIME heatmaps, and image-based storytelling systems. Her work integrates machine learning with educational data mining to enhance creativity assessment and learning analytics, while maintaining strong technical focus on 3D reconstruction and object recognition. Analysis of her 16 publications (2020-2025) reveals three dominant research trajectories: (1) AI-driven educational analytics for student performance prediction, (2) advanced image processing techniques for object recognition and 3D reconstruction, and (3) systematic reviews establishing methodological foundations in presentation attack detection and image-based storytelling. Her recent work increasingly emphasizes explainability and ethical considerations in AI deployment. Dr. Farhood has participated in externally funded research projects, including the 2022 project "Estimating the Number of Tyres in Stockpiles" (October-December 2022). No information is available regarding students she has advised. No information is available about specific research laboratories or teams led by Dr. Farhood.

• Signal Processing
• Embedded Systems
• Machine Learning
• +۲ مورد دیگر

Dr. Ergun Erçelebi is a Professor at Gaziantep University's College of Engineering , Department of Electrical and Electronics Engineering. With expertise in Signal Processing , Embedded Systems , and Machine Learning , he has led research in power electronics, wireless localization, and biomedical applications. PhD in Electrical-Electronics Engineering (Gaziantep University, 1999) MSc in Electrical-Electronics Engineering (Gaziantep University, 1992) BSc in Electrical-Electronics Engineering (Middle East Technical University, 1990) His research spans power electronics (multilevel inverters, photovoltaic systems), signal processing (speech enhancement, wavelet transforms), and embedded systems (UAV control, RFID localization). Recent work focuses on hybrid optimization techniques and deep learning for harmonic reduction, modulation classification, and biomedical antenna design. His 2021-2024 publications demonstrate trends in machine learning applications for Turkish lira recognition, UAV-bird classification, and metamaterial design. Earlier work (2014-2020) includes energy management systems, medical imaging phantoms, and smart home automation. 2024: Stanford Most Effective Scientists recognition 15+ patents in embedded systems and medical devices He has supervised 7+ graduate student projects and led 8 research grants, including TÜBİTAK 1501 funding for wearable nebulizer design. His work includes developing smart security systems , remote energy management devices , and RFID-based indoor localization solutions.

• Cyber-physical Systems Security
• Attack and Fault Detection
• Robust Control
• +۴ مورد دیگر

Dr. Hunmin Kim serves as Assistant Professor in the Department of Electrical and Computer Engineering at Mercer University's School of Engineering, specializing in security and operational resilience of cyber-physical systems with applications in autonomous vehicles, UAVs, and smart grids. His educational background includes: PhD in Electrical Engineering from Pennsylvania State University (2018) BSE in Mechanical Engineering from Pusan National University (2012) Dr. Kim's research centers on developing attack/fault detection mechanisms, robust control frameworks, and path planning algorithms for cyber-physical systems operating in dynamic environments. His work addresses critical security vulnerabilities and coordination challenges in multi-agent systems, with emphasis on verifiable safety guarantees for autonomous operations. Analysis of his 2023-2025 publications reveals strong thematic convergence in resilient control under adversarial conditions, motion planning in complex environments, and assistive technology applications. His work consistently bridges theoretical control systems with practical implementations in autonomous vehicles and UAVs, featuring increasing integration of machine learning techniques for adaptive security. Professional recognition includes: Nomination for 2024 Clayton R. Paul Teaching Excellence Award Dr. Kim actively mentors undergraduate researchers through Mercer's Bear Day events and honors projects, guiding student teams in developing gesture-based drone controls, EMG signal processors, and assistive navigation devices for visually impaired individuals. He maintains extensive peer review commitments across 45+ journals/conferences annually including IEEE Transactions on Automatic Control and Automatica. He contributes to the Collaborative Center for Computing at Mercer University and serves on the IEEE CSS Technology Conferences Editorial Review Board.

• Mechatronics
• Electrical Engineering
• Computer Systems
• +۷ مورد دیگر

Dr. Antoaneta Ivanova Hinova serves as a Senior Lecturer at Technical University - Gabrovo, specifically within the Technical College - Lovech, where she is part of the Mechanical Engineering, Computer Systems and Electrical Engineering Department. With a Doctorate in Technical Sciences, she has established herself as a dedicated academic with significant contributions to engineering education and research. Her research interests span multiple technical domains with a strong focus on mechatronics, electrical engineering, and innovative educational technologies. She has particularly emphasized the application of artificial intelligence in technical education, computer graphics, and the development of practical educational tools for non-electronic specialties. Her work demonstrates a consistent commitment to improving engineering education through technological integration. Analysis of her recent publications reveals a strong trend toward integrating emerging technologies like AI into traditional engineering education, with particular attention to practical applications that enhance student learning experiences. Her research spans both theoretical foundations and practical implementations, with significant work in simulation environments like MATLAB/Simulink, electronic circuit design, and energy systems optimization. Dr. Hinova has actively supervised numerous students, overseeing 44 diploma works across various technical disciplines. Her involvement in 10 research projects from 2012-2024 demonstrates sustained research activity, particularly in developing educational laboratory equipment, mechatronic systems, and ICT-based educational solutions. She has also authored two significant educational books and numerous scientific publications that bridge theoretical knowledge with practical applications. Her work in developing laboratory demonstration modules, particularly for mechatronic elements and electromechanical devices, has significantly contributed to enhancing the educational infrastructure at Technical College - Lovech. Her research extends to practical applications in automotive systems, energy efficiency, and security systems, demonstrating a comprehensive approach to engineering education and research.

Oh Jin Kwonمشاهده پروفایل

استاد

• Image Processing
• Image Coding
• Digital Watermarking
• +۷ مورد دیگر

Professor Oh Jin Kwon is a faculty member in the Department of Electronic Engineering at Sejong University since 1999. His research focuses on image/video analysis, compression algorithms, image quality enhancement, fusion techniques, watermarking, and steganography. He has developed patented algorithms for region adaptive image coding, image watermarking, backward compatible HDR image coding, and progressive image coding. Education: Ph.D. in Electrical and Computer Engineering from University of Maryland, College Park (1994) M.S. in Electrical Engineering from University of Southern California, Los Angeles (1991) B.S. in Electronic Engineering from Hanyang University, Seoul (1984) His extensive research includes image processing , watermarking , and cyber resilience . Recent publications explore deep learning applications in cybersecurity , image coding standards , and 360-degree imaging . His work has been published in Electronics (Switzerland) , Applied Sciences (Switzerland) , Drones , and other journals. Scientific Awards & Grants NSF Grant 91-00655 DACA 76-92-C-0079 DACA 76-89-C-0019 DACA 76-92-C-0009 Professor Kwon has advised numerous PhD and MS students in areas like Point Cloud Coding , JPEG Privacy & Security , and AI-based image coding . He leads research projects funded by institutions including the Korea Aerospace Research Institute and Electronics and Telecommunications Research Institute . His laboratory, the Video Communication Research Lab , focuses on JPEG systems standards , image security , and smart store technologies . Current research includes operator-friendly interface technology for unmanned vehicles and composite material cultural heritage data encryption.

Farzaneh Dadrass Javanمشاهده پروفایل

استادیار

• Remote Sensing
• Unmanned Aerial Vehicles (UAVs)
• Artificial Intelligence (AI)
• +۷ مورد دیگر

Dr. Farzaneh Dadrass Javan is an Assistant Professor at the Department of Earth Observation Science, Faculty of Geo-Information and Earth Observation (ITC), University of Twente, Netherlands. Her academic journey began at the University of Tehran, Iran, where she earned her PhD and MSc in Photogrammetry and Remote Sensing. She contributes to interdisciplinary research bridging UAV technology, Artificial Intelligence, and data fusion for environmental and societal challenges, particularly in the Global South. Research Interests: Her work focuses on multi-scale geospatial data integration, leveraging drones to bridge ground and satellite observations. Key areas include Environmental monitoring through UAV-aided remote sensing Explainable AI for ecological and agricultural applications 3D modeling of urban and heritage sites Climate resilience and drought analysis in Iran Deep learning for infrastructure and vegetation health assessment Scientific Contributions: With over 59 research outputs, she specializes in UAV photogrammetry, multi-sensor fusion, and AI-driven environmental solutions. Her projects address water and health security in marginalized communities, precision agriculture, and smart cities. She has received recognition for journal-featured papers, APC waivers, and invitations to speak at global conferences. Awards and Leadership: Guest Editor for Remote Sensing Journal and Drones Journal panel member Associate Editor for GIScience Journal Scientific Committee roles in ISPRS, IEEE, and SEFI conferences External examiner/supervisor for universities in South Africa, USA, Belgium, and Netherlands Education: She holds a PhD and MSc from the University of Tehran, supervised by Prof. Farhad Samadzadegan.

Estefanía Talavera Martínezمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Estefanía Talavera Martínez is an Assistant Professor specializing in Datamanagement & Biometrics , with research spanning artificial intelligence, computer vision, and health informatics. Her work addresses surveillance, emotion recognition, and egocentric data analysis.

• Wireless Sensor Networks
• Internet of Things
• Mobile Networks
• +۷ مورد دیگر

Sudip Misra is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur, West Bengal, India. With an extensive publication record of 168 publications and over 1,142 citations, he has established himself as a leading researcher in networking and sensor systems. His work spans multiple domains within computer science and engineering, with a particular focus on practical applications of theoretical concepts. Dr. Misra's research interests encompass Wireless Sensor Networks, Internet of Things (IoT), Mobile Networks, Routing Protocols, Network Security, Energy Efficiency, Underwater Sensor Networks, UAV Networks, and Machine Learning applications for networking. His work demonstrates a consistent focus on solving real-world problems through innovative networking solutions, particularly in resource-constrained environments. He has made significant contributions to security protocols, energy management, and connectivity solutions across various network paradigms. Analysis of his recent publications reveals a strong trend toward practical applications of networking technologies, with increasing focus on IoT security, vehicular networks, underwater communication systems, and UAV-enabled networks. His work shows evolution from fundamental networking protocols to more complex, application-specific solutions addressing contemporary challenges in smart transportation, precision agriculture, and secure cloud-based IoT services. Dr. Misra has mentored numerous students and researchers, as evidenced by his extensive co-authorship record. His collaborative work spans multiple institutions across India and internationally, demonstrating strong research leadership and networking capabilities. His research has been supported by various funding mechanisms, though specific grants are not detailed in the available information. His laboratory or research group appears to focus on sensor networks, IoT systems, and related communication technologies, with particular emphasis on security, energy efficiency, and practical deployment scenarios. The research output suggests a well-established team working on cutting-edge networking challenges with real-world applicability.