Murat ORHUN is a Lecturer at Kastamonu University's Küre Vocational School, Department of Motor Vehicles and Transportation Technologies. He has been working full-time since 2014 and served as a thesis advisor for at least one Master's student. Bachelor's Degree: Afyon Kocatepe University, Faculty of Technical Education, Department of Mechanical Drawing and Construction Education (2011) Master's Degree: Afyon Kocatepe University, Institute of Science, Mechanical Engineering (2013) His research focuses on Solar Tracking Systems , Photovoltaic Panel Efficiency , and Computer-Aided Design , with applications in renewable energy and transportation technologies. Recent publications highlight innovations in solar tracker design, comparative analysis of panel performance, and controller development for energy optimization. (2011) Technical Education Faculty 3rd Place, Afyon Kocatepe University He has been involved in 1 TÜBİTAK-funded project and contributed to 3 international scientific collaborations. Metrics include 32 citations and an h-index of 2 on Google Scholar.
Professor Duygu Çelik Ertuğrul is a faculty member in the Computer Engineering Department at the Eastern Mediterranean University (EMU), Faculty of Engineering, located in Famagusta, North Cyprus. She has been affiliated with EMU since her undergraduate studies and has steadily advanced through the academic ranks, achieving Professor status in 2022 after serving as Associate Professor since 2017 and Assistant Professor since 2010. Her educational background includes a comprehensive foundation in both technical and healthcare domains. She earned her Ph.D. (2005-2010), MS (2003-2005), and BS (1999-2003) all in Computer Engineering from Eastern Mediterranean University. Notably, she also holds a BS in Healthcare Services from Kocaeli University (1994-1998), which has significantly informed her interdisciplinary research approach. Professor Ertuğrul's research spans the intersection of semantic web technologies, artificial intelligence, and healthcare applications. Her work focuses on developing intelligent systems that leverage semantic technologies for practical applications in e-health, m-health, and personalized recommendation systems. She has pioneered research in semantic web services composition, ontology-based decision support systems, and AI-powered healthcare solutions. Her recent publications demonstrate a clear trajectory toward increasingly sophisticated applications of AI and semantic technologies, particularly in job recommendation systems, healthcare diagnostics, and accessibility solutions for diverse user groups. Her publication record shows consistent productivity with multiple EMU Research Incentive Awards (2020-2022). The most recent works reveal a strategic expansion into LLM-powered recommendation systems, specialized applications for underserved communities, and broader examinations of AI's societal impact across various sectors. EMU Research Incentive Award (2022) EMU Research Incentive Award (2021) EMU Research Incentive Award (2020) Professor Ertuğrul has supervised an extensive number of graduate students, currently guiding three PhD candidates while having successfully supervised numerous MS theses. Her students' work consistently aligns with her research interests, focusing on medical AI applications, semantic web technologies, and recommendation systems. She has also served as project coordinator for capstone projects in software engineering, demonstrating her commitment to practical, hands-on education. Her research has been supported by university, government, and industrial funding sources, enabling the development of various healthcare knowledge systems and semantic web applications.
Florian Christian Holzinger is a Researcher at the University of Applied Sciences Upper Austria, Campus Hagenberg, specializing in predictive maintenance and industrial optimization. He is affiliated with the Center of Excellence for Smart Production and the HEAL Produktion und Operations Management department. His research focuses on Predictive Maintenance (83%) , Machine Learning , and Multi-criteria Optimization with applications in radial fan systems and manufacturing. Key research areas include sensor-based health prediction, concept drift detection, and data acquisition systems for industrial applications. His publication trends show consistent output in computer-aided systems theory with emphasis on EUROCAST conference proceedings. Recent work (2023-2025) explores constraint-based regression methods, composable evolutionary computation, and workflow optimization in manufacturing. Dr. Holzinger has participated in multiple research projects including DigiVent (2017-2020) for predictive maintenance of industrial radial fans and FlashCheck (2017-2020) for arc detection in DC networks using compressed sensing.
Prof. Dr.-Ing. Andrea Bohn is a faculty member at Saarland University of Applied Sciences, specializing in Mechanical Design within the Engineering school. Based in Room 6311 at Goebenstraße 40, Saarbrücken (66117), she contributes to academic and technical advancements in engineering disciplines. Her contact details include the email andrea.bohn@htwsaar.de and direct phone line +49 (0) 681 5867-684. Research Focus: Mechanical Design, Engineering Mechanics, and CAD applications Institutional Role: Faculty member in the Engineering school
Heinz Adolf Preisig is a Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). With an extensive international academic career, Professor Preisig has held positions at Texas A&M University (USA) as Associate Professor, University of New South Wales (Australia) as Senior Lecturer, and Eindhoven University of Technology (Netherlands) as Professor of Chemical Engineering, Physics, and Electrical Engineering before joining NTNU. His research focuses on Process Systems Engineering with particular emphasis on ontology-based computational engineering, multi-scale modeling, and materials modeling frameworks. Professor Preisig has developed systematic approaches for constructing, manipulating, and simplifying process models through hierarchical ontology-based software suites. His work bridges theoretical modeling frameworks with practical industrial applications, with significant contributions to process modeling methodologies that integrate mechanistic reductionism with holistic empirical components. His research spans from fundamental theoretical developments to applied industrial projects across multiple sectors including energy, materials, and chemical processing. Analysis of Professor Preisig's publication record (2017-2022) reveals a clear trajectory toward more sophisticated ontology-based modeling approaches with increasing integration of semantic web technologies with traditional process engineering. His work demonstrates consistent development of frameworks that enable better model interoperability, reusability, and systematic construction across different domains. A significant portion of his recent work focuses on multi-scale modeling applied to complex materials like polyurethane foams and biomass conversion processes, showing his ability to connect fundamental physical principles with practical engineering applications through advanced computational frameworks. Professor Preisig has been instrumental in major European research initiatives: VIPCOAT Horizon2020 Project: Creating an open innovation platform for corrosion protection coatings in the aeronautic industry MarketPlace EC Horizon 2020 project: Developing a Materials Modelling and Collaboration platform as a one-stop-shop for materials modeling MoDeNa Framework 7 Project: Building multi-scale software frameworks for polyurethane foam modeling EcoLodge: Bio fuel production project using coupled bio reactors He teaches core courses at NTNU including TKP4106 Process Modelling, TKP4135 Process Systems Engineering, and supervises chemical engineering specialization projects. His teaching philosophy centers around models as the foundational concept in engineering education, emphasizing multi-scale understanding and systematic model construction. Professor Preisig leads the Process Systems Engineering group at NTNU, which develops computer-aided modeling tools for systematic process model construction, documentation generation, and code implementation across various simulation environments.
Dario Melguizo Sanchis is an Associate Professor in Bioinformatics at the Department of Biosciences, School of Bioscience, University of Skövde. His work focuses on integrating AI and computational methods into biomedical research, with a strong emphasis on systems biology and precision medicine. Research Interests Developing AI-driven tools for precision medicine and drug development Deep learning applications in cellular quality assessment Biomarker discovery and validation using large-scale biomolecular data Collaborative projects between academia, industry, and healthcare Key Projects AI-Driven Precision Medicine (AID-PM): Leading efforts to position Sweden as a global leader in precision medicine through AI-based solutions Digital HEAlth Research (DHEAR): Designing AI tools for safety assessment of Advanced Therapy Medicinal Products (ATMPs) BIO-AID: Addressing scientific challenges in AI applications for biomedical data analysis BioMine: Mining large-scale biomolecular data for biomarker discovery and validation Collaborations Partnered with AstraZeneca Gothenburg and Takara Bio Europe Active in cross-disciplinary initiatives like Sweden Game Conference and ShiftLabs
Cecilia Nakeva von Mentzer is a Senior Lecturer in Hearing Science at Örebro University's Department of Health Sciences within the School of Health Sciences. She has held this position since April 2019, bringing extensive experience from her previous role as a university lecturer and postdoc at Uppsala University's Department of Neuroscience. Dr. von Mentzer holds a degree in speech therapy from Karolinska Institutet (1991) and a PhD in disability science from Linköping University (2014). Her research focuses on assessment and treatment of speech difficulties, language disorders, and reading difficulties in children with and without hearing impairments. She develops assessment methods for language and speech perception while also creating and evaluating interventions to improve children's communication skills. More recently, her work has expanded to include social aspects of communicative disabilities. Her research demonstrates strong interdisciplinary collaboration with psychologists, audiologists, engineers, and special education teachers. Current research trends show increasing focus on long-term outcomes for children with hearing impairments, physical environments affecting communication, and the psychological well-being of young adults with hearing loss. Dr. von Mentzer actively supervises students at multiple levels, with Petter Kallioinen successfully defending a thesis under her guidance in February 2024. She maintains strong connections with clinical practice through ongoing dialogue with specialized speech therapists in areas like alternative and augmentative communication, voice, and aphasia. Responsible for KAD project (Communicative Activity and Participation) Leading SKOP project (Language, Communication and Psychological Well-being) Research group leader for 'Speak Up' within SpecUL research environment Active participant in physical space research for child welfare services Her teaching spans practical exercises in body awareness and voice, lectures, labs, and poster work in acoustic phonetics, speech perception, child language development, cognition, hearing, and reading. She teaches across multiple programs including Audiology, Occupational Therapy, Nursing, and Special Education at both undergraduate and master's levels.
David W. Grainger is a University Distinguished Professor at the University of Utah , affiliated with the Departments of Molecular Pharmaceutics, Biomedical Engineering, Chemistry, Orthopaedics, and Dentistry. His research focuses on biomaterials, drug delivery systems, and cell therapy technologies.
Enrico Vezzetti is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Polytechnic University of Turin, Italy. He serves as Coordinator of basic subjects for the 2nd year of Engineering and contributes to doctoral programs in Management and Production Engineering. His research focuses on virtual/digital human behavior analysis for human-centered design , spanning 3D modeling , product lifecycle management (PLM) , and augmented reality (AR) applications in medicine and industry. Research Interests : 3D Face Analysis, Human-Computer Interaction, Product Design, Medical Imaging, Computational Modeling, Industrial Innovation. His recent work explores 3D methodologies for predicting post-surgical facial changes, machine learning in VR environments for stress assessment, and augmented reality systems for orthopedic and maxillofacial surgery. He has developed patented tools for 3D surgical guides and real-time facial expression recognition . He has authored over 100 publications and holds editorial roles in journals like Pattern Recognition and Applied Sciences . His projects include regionally and EU-funded initiatives such as DAS (Design for Augmented Surgery) and Media - Museo Emozionale , focusing on healthcare and cultural preservation. Scientific Awards : Young Researchers - 2011 Award (2011) Polytechnic University of Turin Publications Award (2011, 2012) He leads research groups in 3D Lab and collaborates with institutions on digital twins , smart manufacturing , and medical AI systems , emphasizing cross-fertilization between academia and industry .
Deshinder Singh Gill serves as a Principal Lecturer at the School of Architecture, Technology and Engineering, University of Brighton, with contact email D.S.Gill@brighton.ac.uk. His research career spans from 2000 to 2016, demonstrating sustained contributions across engineering and computing disciplines through 12 documented research outputs and supervision of 2 students. His research profile centers on Audio Engineering (specializing in loudspeaker design, directivity control, and transducer arrays), Computer Networking (focusing on mobile IPTV infrastructure and bandwidth-efficient routing algorithms), and Educational Technology (particularly open-source software applications in electronic engineering education). Additional expertise includes Product Design methodologies and practical case study implementations addressing real-world engineering challenges. Publication trends from 2014-2016 reveal concentrated innovation in mobile video streaming optimization, including adaptive CDN architectures and unicast routing protocols for resource-constrained devices. Concurrently, his educational research pioneered CAD teaching frameworks using open-source tools, establishing interdisciplinary connections between networking theory and pedagogical practice. Dr. Gill's academic supervision encompasses 2 graduate students, reflecting his commitment to mentoring within engineering education, though specific student names and grant details remain undocumented in the source material.
Anthony Eland is a University Teacher at Loughborough University, specializing in CAD/CAM instruction for Industrial and Product Design students. He previously served as a full-time lecturer at De Montfort University from 2007, where he developed CAD curricula for undergraduate and postgraduate programs. His teaching career began in 2001, building on a freelance design background involving projects with clients like The Design Unit, BBC, and Warner Bros, spanning product design, furniture, interface design, and film special effects. Anthony holds a BA (Hons) in Furniture Design from De Montfort University (2000). His expertise bridges academic instruction and industry实践, focusing on technological integration in design processes. Though no specific grants or awards are documented, his work emphasizes practical applications of CAD/CAM in creative disciplines.
Karl Hurn is a Lecturer and Placements Co-ordinator at Loughborough Design School, part of Loughborough University's School of Design and Creative Arts. He holds a BA (Hons) in Industrial Design from 1995 and has over 20 years of professional experience spanning industrial design roles in consultancy and white goods manufacturing before transitioning to academia in 2002. His primary responsibilities include coordinating student placements and leading design education initiatives. Education Background: BA (Hons) Industrial Design (1995) Research Interests: Industrial Design Practice Sustainable Design Strategies Design and Emotion Relationships Pedagogical Innovations in Design Education Computer-Aided Design Technologies His work explores intersections between material science, user experience, and sustainable product lifecycle management. Publication Trends: Recent research focuses on material taxonomy for traditional crafts, assistive technology aesthetics, and the psychosocial impacts of product wear patterns. He has also published extensively on industry-academia partnerships and pedagogical frameworks for design education. Teaching Experience: Former Programme Leader for BA/BSc Product Design at University of Derby Taught courses on CAD visualization, design presentation, and sustainable innovation strategies Supervised final-year undergraduate and postgraduate design projects Labs/Teams: Actively involved in Loughborough Design School's research clusters focused on sustainable design, assistive technologies, and material innovation.
Hendrik Goßler is a Group Leader (Digitalization) and Senior Scientist at the Karlsruhe Institute of Technology (KIT), leading the 'Digitalization' group within the Institute for Chemical Technology and Polymer Chemistry. His work focuses on digitalization in research, including data management systems, automation of numerical simulations, and validation against experimental data. Goßler holds a Dr. rer. nat. (PhD) from KIT (2019), with a thesis on syngas production via partial oxidation in engines, and a Dipl.-Chem. (Master’s) in Chemical Engineering from KIT (2014). Research interests span catalysis, combustion technology, and computational modeling. His group develops tools like Adacta for traceable research data management and CaRMeN for reaction mechanism analysis. He has held visiting researcher positions at the Colorado School of Mines (2015, 2017), funded by DAAD stipends, collaborating with Prof. Robert J. Kee on fluid dynamics and engine-related projects. No scientific awards are listed, but his contributions include over 10 peer-reviewed publications since 2015. His work bridges experimental and computational methods, emphasizing automation and data-driven approaches in chemical engineering.
Dr Darren Watts is a Senior Lecturer and Senior Teaching Fellow in CAD & CAE at the Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University. He serves as Director of Professional Training and IMechE Academic Liaison Officer. His expertise spans Additive Manufacturing, CAD/CAE software development, and design optimization. Education: BEng (Hons) Mechanical Engineering and MSc(Eng) Product Design & Management from the University of Liverpool, followed by a PhD in Topology Optimization for Rapid Manufacturing at Loughborough University. Research interests include Bespoke CAE software, Genetic Algorithms, Virtual Assembly Methods, and Medical Applications of Additive Manufacturing. He has led projects such as the EPSRC-funded 'Topologically Optimised Street Furniture for Concrete Printing' and 'Exploitation of Sinus Surgery Simulation Phantoms'. Awards include the Loughborough University Enterprise Award for Cultural Impact (2013) and a Royal Academy of Engineering Industrial Secondement Award (2013-2014). He is a Chartered Engineer and Fellow of the Higher Education Academy. Key roles: Co-Investigator on multiple EPSRC grants, Principal Investigator for surgical simulation projects, and industrial collaboration through Majenta PLM Ltd secondment. Labs/Teams: Core academic member of the Additive Manufacturing Research Group (AMRG), contributing to customized assembly and medical device prototyping advancements.
Octav Chipara is a Professor in the Department of Computer Science at the University of Iowa, part of the College of Liberal Arts and Sciences. His research focuses on wireless networking, real-time and embedded systems, and mHealth applications with a strong emphasis on health- and human-centric computing. He leads the Mobile Systems Laboratory and collaborates on projects such as the National Science Foundation-funded SCH initiative for hearing aid optimization. Dr. Chipara’s work bridges computer science and healthcare, addressing challenges in real-world sensor networks, clinical monitoring systems, and wearable medical devices. His research interests include auditory environment analysis, self-fitting hearing aid algorithms, and pervasive computing applications in healthcare. Recent work explores the feasibility of ecological momentary assessment in audiology, GPS-based listening environment stability, and cough detection in clinical settings. He has contributed to protocols like Recorp and WARP for industrial wireless networks, emphasizing real-time reliability and agile development. Dr. Chipara’s publications span over two decades, addressing topics from sensor network scheduling to bioacoustic analysis. His lab’s work has been recognized through grants including the NSF SCH collaborative research project. He is actively involved in interdisciplinary initiatives, such as setting ethical guidelines for youth and extended reality (XR) technologies, and has pioneered mobile phone-based tools for in-situ hearing aid evaluation. While no formal awards are listed, his contributions to health informatics and cyber-physical systems demonstrate significant impact. His advising and grant activities reflect a commitment to advancing both technical and applied research in computing for healthcare contexts.
