جست‌وجوی استاد و پژوهشگر

Şükriye KARAمشاهده پروفایل

پژوهشگر

• Computer Vision
• Robotics
• Fuzzy Logic
• +۳ مورد دیگر

Şükriye KARA is a Research Assistant at the Department of Electrical and Electronics Engineering, College of Engineering and Architecture, Eskisehir Osmangazi University, Turkey. Her research focuses on Computer Vision and Robotics , with additional contributions to Fuzzy Logic and Signal Processing . She holds a Bachelor's (2006) and Master's degree (2008) from Selcuk University, and a second Master's (2014) from New York University. Email: karas@ogu.edu.tr Office: Room B-306, Electrical and Electronics Engineering Department Research Themes: Her recent work in Medical Imaging includes breast cancer diagnosis using convex hull algorithms (2021) and wavelet domain feature extraction for movement classification (2018). Earlier contributions (2008-2010) focus on mathematical decompositions in Fuzzy Topology , particularly continuity analysis in ideal topological spaces. Academic Affiliations: Active in the Control and Automation Systems Research Group at Eskisehir Osmangazi University, she collaborates on projects related to electrical engineering and robotics.

Mehdi Khazaeliمشاهده پروفایل

دانشیار

• Sport Analytics
• Data Analytics
• Machine Learning
• +۴ مورد دیگر

Mehdi Khazaeli serves as Associate Professor in the Engineering Management Program within the School of Engineering and Computer Science at University of the Pacific, concurrently holding the position of Assistant Dean for Innovation and Professional Development. In this administrative capacity, he directs the corporate affiliates program encompassing CO-OP initiatives, sponsored research partnerships, and career services for engineering students. His instructional portfolio includes advanced courses in Design and Innovation, Decision Making, and Data Analytics. His academic credentials include: Ph.D. in Engineering Science (Information Technology Engineering concentration), Louisiana State University, 2013 M.S. in Product Design and Management, University of Liverpool, 2009 B.S. in Industrial Engineering, Isfahan University of Technology, 2005 Dr. Khazaeli maintains active professional certifications as a California-licensed Professional Engineer (Industrial Engineering) and Project Management Professional (PMP). His research program demonstrates exceptional interdisciplinary range: Sport Analytics Core : Pioneering AI-driven performance analysis across golf, soccer, and basketball through biomechanics and video processing Technical Integration : Merging Building Information Modeling with wireless network analysis for construction innovation Educational Engineering : Developing entrepreneurial frameworks for bioengineering curriculum design Recent publications (2021-2024) reveal a dominant research trajectory applying deep learning to athletic performance optimization, with secondary streams in construction informatics and engineering education reform. His work consistently bridges theoretical AI advances with practical sports and industrial applications. Professional recognition includes: Outstanding Innovation Product Award in Product Design and Development Project Expo (University of Liverpool) As Assistant Dean, he architects industry-academia partnerships through corporate affiliations and CO-OP programs, while his consulting engagements span R&D sectors, venture capital firms, and research institutions. His leadership directly shapes professional development pipelines connecting student talent with industry innovation demands. Administrative initiatives under his direction cultivate cross-sector collaboration networks that accelerate technology transfer from academic research to industrial implementation, with particular emphasis on data-driven decision systems across sports and construction domains.

• Wireless Communication
• Indoor Positioning
• Cellular Networks
• +۲ مورد دیگر

Martin Escalona is a researcher at the Department of Telematics Engineering, School of Telecommunications Engineering at Polytechnic University of Catalonia . He is affiliated with the GRXCA research group focusing on wireless communication networks and the ISG-MAK group specializing in Information Security and Applied Cryptography. Researcher in Wi-Fi positioning systems and cellular network optimization Primary focus on IEEE 802.11mc (Wi-Fi RTT) and its applications Active contributor to accessibility tools and assistive technologies His recent publications (2021-2025) reveal expertise in RTT-based positioning, ranging error analysis, and protocol implementation for wireless networks. He received the Best Short Paper Award at the 2023 International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. Scientific committee memberships include: International Conference on Control, Automation & Information Sciences International Conference on Computer Sciences, Networking and Information Security IEEE Wireless Communications and Networking Conference

• Interior Architectural Design
• Conservation
• Renovation
• +۲ مورد دیگر

İsmail Ertan Ertürk is a Lecturer in the Interior Design department at Karabuk University , specifically at Safranbolu Şefik Yılmaz Dizdar Vocational School. His academic career spans multiple institutions, including collaborations with scholars from Marmara University, Hacettepe University, and others in Turkey. Education Master’s Degree in Interior Architecture from Marmara University Institute of Fine Arts (1995-1999) Bachelor’s Degree in Interior Architecture and Environmental Design from Hacettepe University Faculty of Fine Arts (1988-1992) His research focuses on Interior Architectural Design , Conservation , Renovation , Restoration , and Green Buildings and Environments . His recent publications emphasize historical preservation, sustainable practices, and the application of digital tools in design processes. Notable article themes include: Eco-entrepreneurship and environmental awareness among students Adaptation of historical structures for tourism and sustainability Use of computer-aided design software in furniture production Perspective and studio-based design methodologies He has contributed to international conferences and has collaborated with researchers such as Mehmet Nuri Yıldırım , Abdurrahman Karaman , and Ayşen Esra Bölükbaşı Ertürk . His work aligns with academic metrics in the fields of architecture, planning, and design.

Csaba Hegedűsمشاهده پروفایل

دانشیار

• Operations Management
• Risk Management
• Quality Control
• +۳ مورد دیگر

Dr. Csaba Hegedűs is an active Associate Professor in the Department of Supply Chain Management at the University of Pannonia, Hungary, with office in Building "A", Room 121. He teaches core modules including Business Process Modeling and Re-engineering, Reliability and Risk Management, Quantitative Methods, and Production Quality Control, reflecting his operational research focus. Contact details are email: hegedus.csaba@gtk.uni-pannon.hu; phone: +36 88 624 – 106. Educational background: MSc in Engineering Management (2008) PhD (year unspecified) His research centers on Operations Management with interdisciplinary applications in industrial risk and uncertainty. Key areas include: Risk-based quality control systems Measurement uncertainty in conformity assessment Matrix-driven project planning frameworks Statistical process control under risk conditions Survival analysis of IT project management Decision support for industrial risk mitigation Publication trends (2013-2023) reveal sustained innovation in risk-modified control charts and matrix-based project libraries, bridging Operations Research, Statistics, and Industrial Engineering to address real-world uncertainty in quality decisions. Scientific awards: No documented awards in provided materials As Associate Professor, he likely supervises graduate research but no students are listed. His project experiences and GMT consultation role suggest applied industry collaborations, though specific grants or advising details remain unreported. Consultation hours require email pre-negotiation (Mondays 15:00-16:00). No dedicated laboratories or formal research teams are referenced in the available information.

Om Prakashمشاهده پروفایل

استاد

• Molecular Pharmacology
• Rational Drug Designing
• Protein Folding
• +۴ مورد دیگر

Om Prakash is a Professor in the Department of Biochemistry & Molecular Biophysics at Kansas State University. He serves as the Director of the NMR Facility and holds roles as Graduate Admissions Chair and Undergraduate Advisor. Education: B.S. (1970) and Ph.D. (1978) from University of Meerut His research focuses on structural characterization of biomolecules using multidimensional NMR spectroscopy and computer-aided molecular modeling. Key areas include molecular pharmacology, rational drug design, protein folding, and solution-phase biostructures. Recent studies emphasize structure-activity relationships of fowlicidins and their role in anticancer agent development. His laboratory specializes in integrating NMR data with computational methods to design constrained peptide ligands for pharmaceutical applications. Facility capabilities under his leadership include 3D structural analysis of proteins, metabolite identification, and homology modeling. The NMR Facility houses a 500 MHz Varian spectrometer with advanced probes and Linux workstations for data processing.

• Manufacturing Technologies
• Control Systems
• Production Engineering
• +۳ مورد دیگر

Valentino Razza serves as a Fixed-term Assistant Professor in the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino, where he is also a member of the Interdepartmental Center J-Tech@PoliTO. His academic appointments span multiple colleges including the College of Management and Production Engineering (primary affiliation), College of Computer, Film, and Mechatronics Engineering, and College of Mechanical, Aerospace, and Automotive Engineering as an invited member. His research focuses on Manufacturing Technologies and Systems with specialization in Automatic Identification Systems and Control Systems. Key research areas include laser welding processes, thermographic material inspection, production system optimization, and digital control architectures. His work intersects with Sustainable Development Goals 9 (Industry, Innovation, Infrastructure) and 12 (Responsible Consumption and Production) through advanced manufacturing solutions. Razza's publication portfolio demonstrates strong emphasis on laser-based manufacturing technologies and non-destructive testing methods . His recent work combines computational modeling with experimental validation in welding processes, thermoplastic joining, and quality control systems. The research consistently applies control engineering principles to solve production technology challenges. He holds a national/international patent for Methodology for the Non-Destructive Testing of Welded Joints Using Active Thermography (co-invented with Manuela De Maddis and Luca Santoro), demonstrating practical applications of his research. In teaching, Razza serves as Course Collaborator across multiple degree programs including Management and Production Engineering, Computer Engineering, and Automotive Engineering. His instructional focus includes Digital Control Technologies, Analysis and Management of Production Systems, and emerging topics like Machine Learning in Manufacturing Applications for PhD students.

• Machine Learning
• Deep Learning
• Computer Vision
• +۷ مورد دیگر

Guy Hembroff serves as an Associate Professor in the College of Computing at Michigan Technological University, where he directs both the MS in Health Informatics program and the interdisciplinary PhD in Computational Science & Engineering program. His academic leadership spans computational health sciences and biomedical data science initiatives. Education: PhD in Computational Science and Engineering, Michigan Technological University MPA in Public Administration, Northern Michigan University BS in Finance and Economics, Michigan Technological University Hembroff's research focuses on human health applications of artificial intelligence, particularly in medical image analysis, natural language processing, and cybersecurity. His work bridges clinical needs with computational solutions through projects like fracture risk prediction from radiographs, lung nodule classification, and mental health intervention modeling. The Biomedical Data Science (BDS) Lab he founded integrates expertise across medicine, data science, and cybersecurity to tackle healthcare challenges. His recent publications demonstrate strong trends in applying deep learning to medical imaging (35%), natural language processing for health literacy (20%), and mental health analytics (15%), with growing emphasis on generative AI applications since 2023. Key methodological approaches include multitask learning, transformer models, and ensemble techniques tailored for healthcare data. Doctoral Advising: Harikrishnan C. (Medical Image Segmentation using AI) Chethana Kadirimangalam (Mental Health Intervention Modeling) Abel Reyes (Medical Image Segmentation and Computer Vision) Tim Van Wagner (Blockchain for Patient Data Auditing) Hembroff leads multiple externally funded research initiatives including the Tick-Talk geographical tick disease monitoring system (MI-SAPPHIRE grant), FHIR-enabled health information exchanges, and mental health intervention optimization models. His BDS Lab maintains active collaborations with Henry Ford Hospital and nonprofit healthcare networks for real-world implementation of health informatics solutions. The Biomedical Data Science Lab operates as a multidisciplinary hub combining clinical expertise with computational innovation. Current projects span physical and mental health domains, with particular focus on disease progression modeling, clinical decision support systems, and secure health data architectures. The lab's work directly informs both graduate curriculum development and healthcare industry partnerships.

• Computer Graphics
• Computer Vision
• Video Processing
• +۴ مورد دیگر

Prof. Dr. Thorsten Thormählen is a University Professor for Computer Graphics and Multimedia Programming in the Department of Mathematics and Computer Science at Philipps University Marburg, Germany, a position he has held since October 2012. Prior to this, he served as Substitute Professor for Interactive Graphics Systems at the University of Tübingen (2011-2012) and led the independent research group "Image-based 3D Scene Analysis" at the Max Planck Center for Visual Computing and Communication (2007-2012). His academic background includes a PhD (Dr.-Ing.) from the University of Hannover (2000-2005), where he also worked as a full-time scientific assistant, and a Diploma in Electrical Engineering from the University of Duisburg (1994-1999). Prof. Thormählen's research centers on Visual Computing , spanning Computer Graphics , Computer Vision , Video Processing , and Human-Computer Interaction . His work pioneers tools for 3D reconstruction (e.g., Multi-View Photometric Stereo), video manipulation (e.g., MovieReshape), and multimedia processing (e.g., GSN Composer), with groundbreaking contributions to accessibility through haptic and auditory interfaces for blind 3D modelers. His lab develops practical systems that bridge theoretical computer vision with real-world applications. Analysis of his 15 most recent publications reveals a consistent focus on photometric stereo techniques for 3D reconstruction, video processing innovations, and accessibility-driven interfaces. His work increasingly emphasizes inclusive design, particularly for visually impaired users, while maintaining technical rigor in camera calibration, surface modeling, and multi-sensor fusion. At the Max Planck Center, he established and led the "Image-based 3D Scene Analysis" research group, which advanced methods for reconstructing 3D environments from video sequences. His current work at Marburg continues this trajectory, integrating computer vision, graphics, and human-centered design to solve complex problems in digital content creation and accessibility.

Abby Patersonمشاهده پروفایل

مدرس ارشد

• Additive Manufacturing
• Computer-Aided Design (CAD)
• Medical Applications
• +۷ مورد دیگر

Dr. Abby Paterson is a Senior Lecturer in Industrial Design, CAD, and Digital Fabrication at Loughborough University’s School of Design and Creative Arts. Her expertise spans 3D scanning, Computational Design, Additive Manufacturing (AM), and digital fabrication techniques for medical and consumer applications. She leads modules focusing on digital design, data acquisition, and automated fabrication, including CNC milling and AM. Abby holds a BSc in Product Design and Technology (2008) and a PhD in 3D Scanning and AM for medical applications (Loughborough University, 2012). She previously served as a lecturer at the University of Manchester’s School of Materials, where she specialized in materials science and metrology for AM. She returned to Loughborough in 2014, continuing her research on digital design for customized medical and consumer products. Her research focuses on AM design rules, sustainability in product repair, and medical applications such as custom wrist splints. Notable achievements include securing a Royal Academy of Engineering Industrial Fellowship (2017), which developed industrially relevant teaching materials, and Versus Arthritis funding to advance CAD software for hand therapists. She also received a Loughborough Teaching Innovation Award (2015) for eye-tracking research in online learning. Abby’s consultancy work, through Loughborough University Enterprises Ltd., involves developing algorithms for Computational Design software (e.g., Rhinoceros/Grasshopper) to automate complex workflows, supporting projects like Transport for London’s direct vision standards for trucks. She currently serves as Deputy Director of Doctoral Programmes, supporting PhD researchers, including industrially sponsored projects. Her work bridges academia and industry, emphasizing practical applications of digital design tools. Key contributions include a software plugin for splint design and volumetric approaches to truck safety standards, demonstrating her commitment to impactful, cross-disciplinary innovation.

• Human Factors
• Human-Computer Interaction
• Cognitive Psychology
• +۴ مورد دیگر

Kelly Steelman is an Associate Professor at Michigan Tech , serving as Department Chair in Psychology and Human Factors and as an Affiliated Associate Professor in Computer Science . Her work bridges human-computer interaction , attention modeling , and digital literacy , with a focus on human factors in aviation, technology training, and cognitive performance. Education: PhD in Psychology from the University of Illinois at Urbana-Champaign (2011) Her research explores theory-based models of attention , visual workspace design , and sociotechnical systems to enhance digital literacy for older adults. She has contributed to human factors literature on topics such as perceptual salience , SEEV modeling , and driver/pilot workload . Recent publications emphasize human-centered engineering , remote digital assistance , and educational interventions for technology adoption. She has also developed tools like SEEV Modeler for attention modeling and published on seductive detail effects in learning environments. Her collaborations span cross-disciplinary teams , including work with the Human Factors & Ergonomics Society , and she has contributed to standards like the Human Readiness Level Scale (ANSI/HFES 400-2021) .

Ron Kikinisمشاهده پروفایل

استاد

• Medical Image Computing
• Image Processing
• Biomedical Engineering
• +۳ مورد دیگر

Prof. Ron Kikinis is a Professor of Medical Image Computing at the University of Bremen (Department of Computer Science, Faculty of Mathematics and Computer Science) and holds leadership roles at Fraunhofer MEVIS and Harvard Medical School’s Surgical Planning Laboratory. He also serves as a Professor of Radiology at Harvard Medical School. His academic journey includes a Medicine degree from the University of Zurich (1982) and radiology residency at Zurich University Hospital, complemented by computer vision research at ETH Zurich. His research focuses on medical imaging algorithms, interdisciplinary computational methods in healthcare, and software development for biomedical applications. Notable contributions include pioneering work in virtual endoscopy, surgical planning systems, and open-source platforms like 3D Slicer. He leads multidisciplinary teams addressing complex imaging challenges, with over 316 peer-reviewed publications. Key areas of interest include segmentation, registration, visualization, and high-performance computing in medical imaging. His work bridges clinical needs with technological innovation, emphasizing reproducible AI pipelines and data commons for translational research. He collaborates globally on initiatives such as the NCI Imaging Data Commons and advancing low-cost medical imaging solutions. Prof. Kikinis’ contributions span academic leadership, clinical translation, and software ecosystem development, making him a pivotal figure in medical image computing and translational imaging research.

• Machine Learning
• Data Science
• Environmental Science
• +۵ مورد دیگر

Dr. Martin Frey is affiliated with the ZHAW School of Engineering at Zurich University of Applied Sciences (ZHAW), specifically within the Institute of Data Analysis and Process Design . He has led and contributed to numerous research projects spanning data science, environmental analysis, and transportation safety. His work emphasizes interdisciplinary applications of statistical methods and machine learning, particularly in venture capital decision-making, consumer behavior, and environmental contaminant detection. He has demonstrated expertise in project leadership, technical collaboration, and applied research across multiple domains. Research Interests : Frey's research focuses on leveraging data-driven methodologies to address complex challenges in finance, environmental science, and transportation. His work includes analyzing startup success patterns using Crunchbase and LinkedIn data, mitigating biases in venture capital prediction models, and developing statistical tools for environmental contaminant detection in lake sediments. He also explores machine learning applications in sports analytics and urban heat island detection through satellite imagery. Grants/Projects : As project leader, he managed initiatives like 'Machine Learning-Aided Startup Investing' (MALASI), 'Measures and Potentials in the Field of Road Users', and 'Statistical Analysis of Accident Occurrences'. His team contributions include AI for venture capital decisions and corrective actions in GFRP production processes. Labs/Teams : His projects often involve collaborative environments, such as the Institute of Data Analysis and Process Design , where cross-functional teams tackle real-world problems through innovative data science approaches.

Hossein Mokhtarianمشاهده پروفایل

مدرس

• Additive Manufacturing
• Dimensional Analysis
• Modeling and Simulation
• +۴ مورد دیگر

Hossein Mokhtarian is a University Lecturer in Automation Technology and Mechanical Engineering at Tampere University. He holds a Higher-Degree Education qualification from Université Joseph Fourier. His research focuses on Additive Manufacturing (AM), Dimensional Analysis, and modeling frameworks for manufacturing processes. Key areas include functional modeling, materials science, and sustainability in advanced manufacturing. He has contributed to projects like the railway bogie demonstrator using multi-material directed energy deposition and explored AI integration in design processes. Research interests emphasize interdisciplinary approaches, blending graph theory, machine learning, and physics-based modeling. Notable achievements include a Docent title in additive manufacturing (2025) and awards for teaching excellence in DfAM and design optimization. He has organized events like the Finnish Additive Manufacturing (FAME) Symposium 2025 and reviewed for conferences like SEFI. His work addresses challenges in process monitoring, material characterization, and sustainable manufacturing solutions. Education: Higher-Degree Education in Other or Unknown Discipline from Université Joseph Fourier (2015). Awards: Includes innovation grants, teaching excellence, and contest wins for design and AM applications. Collaborations: Global networks in additive manufacturing, with emphasis on Finland's industrial integration.

Xiao Feng Qiمشاهده پروفایل

استاد پژوهشی

• Wireless Communication
• Signal Processing
• MIMO Systems
• +۳ مورد دیگر

Xiao-Feng Qi is a Research Professor at the Department of Electrical and Computer Engineering at the University of Delaware. His career spans over three decades in corporate R&D, including leadership roles at Intel, Broadcom, and Futurewei, focusing on wireless communication systems such as DSL, Wi-Fi, LTE, and 5G. He holds a PhD in Electrical Engineering from the University of Connecticut (1992) and a BS from Jiao Tong University (1985). Dr. Qi's research emphasizes full-stack, multidisciplinary approaches to wireless signal processing, with a focus on adaptive algorithms, MIMO systems, millimeter-wave communication, and distributed network architectures. His work addresses challenges in dynamic radio environments, including interference mitigation, channel reconstruction, and hybrid beamforming. His recent publications highlight advancements in reconfigurable intelligent surfaces, phased array systems, and resolution-optimized massive MIMO networks. Collaborative efforts with academia and industry have driven innovations in 4G/5G infrastructure and beyond-5G technologies. His technical leadership includes managing graduate intern programs and university partnerships. Key technical contributions span signal processing architectures, SAR ADC optimization, and photonic implementations for RF systems. He has pioneered opto-electronic solutions for multi-band phased arrays and developed novel channel modeling techniques for distributed MIMO systems.