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Saeed SharifView profile

Associate Professor

• Artificial Intelligence
• Innovative Tele-Health
• Medical Technology
• +9 more

Dr Saeed Sharif is an Associate Professor in the Computer Science department at the School of Architecture, Computing and Engineering , University of East London . He leads the Intelligent Technologies Research Group and serves as Course Leader for MSc Computer Science programs. With a PhD in artificial intelligence from Brunel University London , his work bridges Artificial Intelligence , Medical Technology , and Smart Infrastructure . His research interests span Medical Image Analysis , Intelligent Diagnosis Systems , Big Data Analysis , and IoT Security . Collaborations with NHS Trusts and global institutions focus on improving healthcare systems through machine learning and biomedical signal processing. 2018-2022: £268,000 KTP project with Innovate UK Multiple Research Internship Schemes at UEL (2017-2021) European Research Centre collaboration (2015) As a technical committee member for conferences like IEEE CIT and a journal Guest Editor , he drives academic discourse. He has supervised numerous PhD students and served on examination panels, while maintaining 53+ publications in venues including IEEE Access , Applied Soft Computing , and Computer Methods and Programs in Biomedicine .

Kostas GrigoriadisView profile

Associate Professor

• Multi-Materials in Architecture
• Functionally graded material design
• Advanced computational design
• +8 more

Dr. Kostas Grigoriadis is an Associate Professor in Architecture at The Bartlett School of Architecture, University College London, where he serves as Co-Director of the Architecture MArch (ARB/RIBA Part 2) programme. An ARB-registered architect, he leads Research Cluster 8 focusing on multi-material design and its implications for architectural practice and construction. His work bridges academic research with professional practice through his firm, Continuum Design & Architecture. His educational background includes: Master of Arts in Philosophy, Open University (2023) PhD in Architecture by Project, Royal College of Art (2018) Master of Architecture and Urbanism, Architectural Association (2009) Diploma in Architecture (ARB/RIBA Part 2), University College London (2005) BA (Hons) in Architecture (ARB/RIBA Part 1), London Metropolitan University (2002) AA Professional Practice Examination (ARB/RIBA Part 3) (2024) Grigoriadis's research centers on multi-material design methodologies and the implications of functionally graded material use in architecture. His work explores advanced computational design, multi-material 3D printing, topology optimization, and the embodied energy implications of novel material applications. Drawing from Material Engagement Theory and Conceptual Blending Theory, he investigates the cognitive processes involved in designing with graded materials and challenges traditional anthropocentric notions of form imposition on materials. His publication record demonstrates consistent focus on material innovation in architecture, with recent work examining topological optimization of structural elements, multi-material facade systems, and embodied carbon analysis of building components. The trajectory shows increasing attention to sustainability considerations alongside technical innovation in architectural material applications. His notable achievements include: RIBA President's Award for Design and Technical Research (2018) Google R+D in the Built Environment Fellowship (2019) Frontiers of Architectural Research Best Paper Award (2023) Arup Prize for Emerging Talent in Architecture—Special Mention (2016) Ivan Petrovic Prize at eCAADe (2014) Grigoriadis has supervised numerous Master's students through Research Cluster 8, which explores multi-material design using both novel and recycled materials. His research has been supported by prestigious fellowships including the Google R+D Fellowship, which enabled investigation into environmental benefits of multi-material approaches. He has secured funding for collaborative projects examining topology optimization and 3D metal printing in architecture. Through his Continuum Design & Architecture practice, Grigoriadis has completed significant projects including a tourist center in Anhui, China, and won the Spiretec competition for the World Trade Centre Noida in Delhi, India. His work consistently bridges theoretical research with practical application, demonstrating real-world implications of his academic investigations into material innovation.

Mohamed Hedi KarrayView profile

Professor

• Ontology-Based Engineering
• Semantic interoperability
• Computer Aided Process for Manufacturing
• +3 more

Mohamed Hedi Karray is a Professor at the Department of Scientific Systems, National School of Engineering Tarbes. He holds a PhD and Habilitation à Diriger des Recherches (HDR), both in Applied Informatics and Ontology-based Engineering, and his research focuses on semantic technologies for decision-making and interoperability in manufacturing systems. Education: HDR (2019, Toulouse INP), PhD (2012, University of Franche-Comté), MSc (2008, Lyon 1), BSc (2007, Tunis University). His research bridges Ontology-Based Engineering, Semantic Interoperability, and E-Systems/e-services Architectures, with applications in Collaborative Product Lifecycle Management and Computer-Aided Process for Manufacturing. He teaches Object-Oriented Programming, Analysis of Algorithms, and ICT trends. Email: mohamed-hedi.karray@uttop.fr

Bernhard SaskeView profile

Researcher

• Virtual Reality
• Augmented Reality
• Product Lifecycle Management
• +3 more

Bernhard Saske serves as a Research Associate at the Chair of Virtual Product Development within Dresden University of Technology, where he has been affiliated since completing his mechanical engineering studies in 2002. Holding a doctorate (Dr.-Ing.) earned in 2008 for research on 'Augmented Reality in Maintenance,' he specializes in virtual and augmented reality applications integrated with product lifecycle management systems. His academic credentials include: Master's degree in Mechanical Engineering from Dresden University of Technology (2002) Doctorate (Dr.-Ing.) from Dresden University of Technology (2008) focusing on Augmented Reality in Maintenance Saske's research centers on digital transformation in engineering workflows, with core expertise in virtual/augmented reality implementation, product lifecycle management (PLM), and model-based systems engineering (MBSE). Recent investigations address generative AI applications in CAD processes, sustainable product development frameworks, and component reuse optimization in industrial plant design. His work consistently bridges theoretical methodologies with practical industry implementation challenges. Analysis of his 2023-2025 publications reveals a strategic shift toward artificial intelligence integration in engineering design, particularly generative models for CAD and computer vision systems. Concurrently, his research maintains strong emphasis on sustainability-driven PLM strategies and MBSE adaptation for circular economy principles, reflecting evolving industry priorities in resource efficiency and digitalization. Scientific Awards: No documented awards, fellowships, or major honors were identified in the source materials. Dr. Saske actively contributes to collaborative research projects within the Chair of Virtual Product Development, frequently co-authoring with Prof. Paetzold-Byhain and interdisciplinary teams. While specific student supervision is unrecorded, his publications indicate mentorship roles in conference papers and journal articles. Project funding appears aligned with German academic-industry partnerships focused on digital engineering solutions, though grant details remain unspecified. As a core member of the Chair of Virtual Product Development, Saske operates within a research ecosystem dedicated to advancing virtual prototyping, digital twin technologies, and immersive maintenance solutions. The chair maintains active industry collaborations to implement VR/AR methodologies in real-world manufacturing and product development contexts across European industrial partners.

Philipp SembdnerView profile

Researcher

• Medical Device Design
• Reverse Engineering
• Additive Manufacturing
• +3 more

Dr.-Ing. Philipp Sembdner is a Research Associate at the Chair of Virtual Product Development within Technische Universität Dresden . He completed his mechanical engineering studies at TU Dresden (2003–2009), specializing in "general and constructive mechanical engineering," followed by a doctorate in 2017 on computer-aided planning for bone implants . His research focuses on developing methods for patient-specific medical devices , emphasizing interdisciplinary workflows between physicians, engineers, and technicians. His recent work explores additive manufacturing of calcium phosphate cement scaffolds , 3D printing of bone implants , and CT data integration into CAD systems. Articles highlight workflow optimization and process validation for medical applications. He contributes to software tools bridging clinical data and engineering design, aiming to accelerate implant development and improve clinical acceptance.

• Digital Signal Processing
• Image Processing
• Computer Vision
• +2 more

Mehmet Türkan serves as an Associate Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Izmir University of Economics, Turkey, where he has held academic positions since 2015 including promotion from Assistant to Associate Professor. His academic credentials include: PhD in Computer Science from Université Rennes I, France (2011) MSc in Electrical and Electronics Engineering from Bilkent University, Turkey (2007) BSc in Electrical and Electronics Engineering from Eskişehir Osmangazi University, Turkey (2004) Dr. Türkan's research centers on digital signal/image processing, computer vision, and machine learning with emphasis on sparse representations, linear embeddings, and deep learning applications. His work bridges theoretical algorithm development with practical implementations in biomedical imaging and multimedia systems, particularly advancing techniques for image fusion, quality assessment, and medical diagnostics. Analysis of his 2020-2024 publications reveals a strong trajectory toward biomedical applications—especially melanoma detection and fluorescence microscopy—while maintaining core contributions to image processing fundamentals. This period shows increasing integration of deep learning with traditional signal processing methods, reflecting broader field trends. His scientific recognition includes: Best Student Paper Award at IEEE ICIP 2010 Dr. Türkan has secured research funding through European Commission initiatives including MUSCLE-NoE, 3-DTV-NoE, and UltraHD-4U projects. His collaborative work spans international teams at Technicolor Research & Innovation Center (2011-2015) and current academic partnerships. He maintains active leadership in image processing research through ongoing publications and supervision of graduate projects at Izmir University of Economics, with recent work focusing on spatio-temporal information preservation and medical image analysis.

Şükriye KARAView profile

Researcher

• Computer Vision
• Robotics
• Fuzzy Logic
• +3 more

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 KhazaeliView profile

Associate Professor

• Sport Analytics
• Data Analytics
• Machine Learning
• +4 more

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
• +2 more

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
• +2 more

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 HegedűsView profile

Associate Professor

• Operations Management
• Risk Management
• Quality Control
• +3 more

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 PrakashView profile

Professor

• Molecular Pharmacology
• Rational Drug Designing
• Protein Folding
• +4 more

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
• +3 more

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
• +7 more

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
• +4 more

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.