Prof. Dr. Paul R. Melcher is a Professor for Actuators / Quality Management and Integrated Management Systems at the Department of Engineering and Communication, Hochschule Bonn-Rhein-Sieg (H-BRS). With a career spanning over two decades at H-BRS, he has held roles including Internship Coordinator (2000-2020), Quality Officer (2009-2020), and Appointment Officer (2018-2020). His expertise lies in Quality Management , Process Optimization , and Integrated Management Systems , with a focus on methodologies like FMEA , MITO , and ISO 9001 standardization. Research Focus : Quality management systems, process analysis (audits), workflow development, Lean Manufacturing, and digital transformation in education. Projects : Led the 2021 ADENiA project on automated detection of noise-induced sleep disturbances, and contributed to national studies on process organization in enterprises. Training : Developed DGQ-certified e-training modules for QM tools (e.g., Pareto diagrams, histograms) and served as a trainer for ISO auditor qualifications.
Nina Helander is a Professor of Information and Knowledge Management at the Faculty of Management and Business, Tampere University, specializing in Value Creation Networks. Her work focuses on digital transformation, data analytics capabilities, and knowledge management processes in public and private sectors. She holds a prominent position in the university’s research on smart city development, healthcare technology, and sustainable innovation. Research interests include the intersection of technology and organizational performance, with emphasis on data-driven value creation, stakeholder collaboration frameworks, and emotions in service design. She explores challenges in implementing digital solutions across sectors, particularly in healthcare and public administration, addressing issues like knowledge sharing barriers, ethical data governance, and user acceptance of new technologies. Her recent work highlights trends in: 1) leveraging emotion data for service innovation, 2) optimizing data analytics through organizational learning, and 3) balancing control/trust dynamics during technology adoption. She has contributed to frameworks like the maturity model for public sector knowledge management and co-creation strategies in hybrid settings. Notable contributions include studies on remote healthcare platforms, robotic process automation in healthcare, and the role of AI in overcoming knowledge barriers. Her research bridges theoretical models (e.g., IS Success Model, RBV) with practical implementations in SMEs and large organizations. Grants/awards details are not explicitly mentioned in the provided texts. Labs/teams: Her work is associated with Tampere University’s digital healthcare ecosystem research initiatives (e.g., DiHECO project) and innovation labs focused on public sector digitalization. She collaborates with multiple stakeholders including municipal governments, healthcare providers, and technology firms.
Prof. Dr. Ufuk Cebeci is a faculty member at Istanbul Technical University , affiliated with the Department of Industrial Engineering . His academic career spans over three decades, with roles progressing from Lecturer (1994) to Professor (since 2020). Fields of Study: Quality Management, Manufacturing Systems Management, Artificial Intelligence Key Research Areas: Decision Support Systems, Lean Manufacturing, ERP Systems, Fuzzy Logic, Customer Relationship Management Research Trends show consistent focus on applying computational intelligence to industrial challenges, particularly through fuzzy logic and hybrid methodologies. His work addresses strategic management, process optimization, and digital transformation across sectors like textiles, construction, and banking. Awards: Most Cited Paper Award (Elsevier, 2017), Awards for Excellence (Emerald Group, 2015) Advising includes supervising 30+ theses in areas like lean manufacturing maturity analysis, ERP satisfaction studies, and AI-driven supply chain solutions. His grants involve projects on carbon footprint tracking software, production scheduling optimization, and IoT-integrated energy management systems.
Tanjila Kanij is a Lecturer at the School of Science, Computing and Emerging Technologies , Swinburne University of Technology, with an ORCID identifier 0000-0002-5293-1718 . Her research focuses on gender inclusion in software engineering, user-centred design , and human-computer interaction . Research Themes : Software Engineering, Human-Centred Computing, Information Systems Teaching : Final-year Capstone project units Her recent publications address ethical challenges in Generative AI , gender bias in IT/SE job ads , and privacy-awareness applications . She explores persona development for diverse user groups like children and the elderly, and knowledge graph construction for fisherfolk communities. She is funded by the Digital Shores grant (2024-2025) from the Department of Foreign Affairs and Trade (Cwlth), focusing on empowering coastal communities through technology.
Kayhan Kaplan is a Lecturer at the Department of Visual Communication Design, Faculty of Communication, Hasan Kalyoncu University. He holds a PhD in Landscape Architecture from Atatürk University and a 3D Animation certificate from New York Film Academy. PhD: Atatürk University, Landscape Architecture (2002) MS: New York Film Academy, 3D Animation (2012) BS: Atatürk University, Landscape Architecture (1991) His research focuses on 3D animation for historical reconstruction , cultural heritage visualization , and environmental impact analysis . Recent work includes digital modeling of ancient Antioch and conservation strategies for Turkish cultural sites. Collaborative studies span industrial visualization , forensic animation , and climate change mitigation in river basins. His publications demonstrate expertise in 3D rendering engines , animated narrative design , and ecological monitoring systems . Collaborations with environmental scientists and engineers highlight interdisciplinary applications of visual communication tools. As a full-time faculty member, he contributes to curriculum development in visual design and technology integration in communication. His work bridges digital humanities and scientific visualization through practical implementations in cultural and industrial contexts.
Rabih Younes is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He also serves as the Associate Director of Undergraduate Studies and is a Faculty Network Member of the Duke Institute for Brain Sciences. Additionally, he is the Duke FRC Program Director for team 8429, Valence Robotics, and Head of the Duke KEEN Leadership Team. Dr. Younes received his PhD in Computer Engineering from Virginia Tech in 2018, following his MSE in Computer Engineering from the Lebanese American University in 2013 and his BE in Computer Engineering from the same university in 2011. He speaks nine languages (fluent in three) and holds various certificates including Engineering Education and Future Professoriate, Cisco Networking Academy certifications (CCNP, CCNA, ITE Instructor Trainer), National Instruments CLAD, and USPA A-Licensed Skydiver. His research spans wearable computing, ubiquitous/pervasive computing, activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics. Dr. Younes has published extensively on topics ranging from wearable health monitoring systems to innovative approaches in engineering education. His recent work demonstrates a growing integration of machine learning techniques with wearable sensor data for health applications, activity recognition, and educational assessment tools. Dr. Younes' scholarly output shows a consistent trajectory from fundamental wearable computing research toward practical applications in health monitoring and educational technology. His publications reveal an increasing focus on real-world implementation challenges, data augmentation techniques, and educational assessment tools that bridge engineering theory with practical classroom applications. Tau Beta Pi honor society member Eta Kappa Nu honor society member Phi Kappa Phi honor society member Golden Key honor society member KEEN Annual Support grant (2024-2026) Dr. Younes actively mentors students through various programs including EGR 393: Research Projects in Engineering and ECE 899: Special Readings in Electrical Engineering. He has received grant support through the KEEN Annual Support program for 2024-2026, focusing on innovative engineering education approaches. His teaching philosophy emphasizes student development beyond academics, incorporating life skills and critical thinking. As Director of Valence Robotics (team 8429), Dr. Younes leads high school robotics initiatives that have earned state championship qualifications. His lab work focuses on wearable computing systems with applications in health monitoring (including pet emotional health tracking), activity recognition, and educational technology tools. He utilizes agile project management frameworks like Scrum in his courses and implements tools to enhance student learning retention.
Burak Şahin is an Assistant Professor at Gaziantep University , affiliated with the Faculty of Aeronautics and Astronautics and the Department of Aeronautics and Astronautics Engineering . He holds a Ph.D. in Mechanical Engineering from Gaziantep University (2019) and has previously served as a Research Assistant at the same institution (2012-2021). Research Interests : Mechanical Engineering, Aerospace Applications, Surface Treatment Technologies (Flow Peening/GOV), Gear Design and Stress Analysis, Finite Element Modeling, Additive Manufacturing, Textile Material Testing. His work focuses on enhancing material performance through advanced surface treatments (e.g., Inconel 718, Ti-6Al-4V) and developing automated testing devices for carpets and gears. Key trends include: 1) Surface modification of aerospace alloys (2024-2023); 2) Automated carpet resilience testing systems (2021-2023); 3) Gear stress reduction via asymmetric design and FEA (2017-2018). Students supervised include Murat Kalak (2022: Ti-6Al-4V flow peening) and Mustafa Sait Koca (2022: Inconel 718 flow peening). Projects : 1) Development of special surface design methods for asymmetric spur gears (2014-2017); 2) Functional Carpet Static Loading Device (TUBITAK 1005, 2019-2021). Patents : Co-inventor of TR 2016 05214 B for a multi-sample static loading carpet test device.
Dirk Brakensiek is a Professor at the Georg Agricola University of Applied Sciences since 2018, specializing in electrical engineering, information technology, and industrial engineering. His office is located at G7 R110 with contact email Dirk.Brakensiek@thga.de and phone +49 234 968-3339. He earned his electrical engineering degree with distinction at RWTH Aachen University, receiving the Springorum Medal for diploma excellence, Otto Junker Prize for academic achievements, ABB Prize for an outstanding energy technology thesis, and a scholarship from the Professor Dr. Koepchen Study Foundation of RWE. His research spans electrical energy converters and drives, electrical machines, decentralized energy technology, power electronics, magnetic levitation technology, and control systems. This work bridges theoretical electrical engineering with industrial applications in textile machinery and transportation systems, emphasizing practical implementation of high-speed drives and magnetic levitation solutions. His publication record from 2000-2004 reveals a concentrated focus on linear drive systems for magnetically levitated transportation, featuring simulation models, controller design, and optimization of permanent-magnet machines. These works demonstrate consistent application of electrical machine theory to solve complex industrial automation challenges. His scientific recognition includes: Springorum Medal for diploma distinction Otto Junker Prize for academic excellence ABB Prize for energy technology thesis Professor Dr. Koepchen Study Foundation scholarship While no academic advisees are listed at THGA, he previously trained IT specialist trainees at Saurer.Schlafhorst in application development under IHK Aachen certification. His industry experience includes developing high-speed BLDC drives (200,000 rpm) and embedded systems for textile machinery, though specific research grants aren't documented. His research operates at the intersection of academia and industry, notably through Saurer.Schlafhorst collaborations where he led Autocoro product line development. Current work continues this applied approach in energy technology, particularly in decentralized systems and power electronics for industrial applications.
Hamed Abdolmaleki is a post-doctoral researcher at the Vrije Universiteit Brussel in the Applied Mechanics department. His research focuses on Polymer Science and Engineering , with a specialization in Printed Electronics and self-healing materials. His recent work explores: Additive manufacturing of Diels-Alder polymers Piezoelectric sensors for biomedical applications Interfacial engineering of fluoropolymers Nanocomposite films for energy harvesting His publications highlight expertise in material synthesis, functional inks, and smart textile applications. Collaborations span Belgium and international institutions. Key scientific activities include participation in the European Polymer Congress 2025 and Belgian Polymer Group meetings. Current h-index: 2 (Scopus).
Nadeem Rather is a Research Fellow at the Wireless Communications and AI Research Lab, Tyndall National Institute, University College Cork (UCC), Ireland, where he has conducted research since 2019. His work focuses on developing AI-driven electromagnetic systems with emphasis on RF technologies and intelligent antenna design. His academic background includes: Bachelor’s degree in Electronics and Communication Engineering Research Master’s degree in Communication Systems PhD from University College Cork (2024) Dr. Rather’s research integrates advanced AI algorithms with electromagnetic systems to optimize RF components for emerging IoT applications. His work spans chipless RFID, NFC sensor networks, and adaptive antenna design, addressing challenges in spectrum efficiency, robust detection, and practical implementation across agriculture, healthcare, and cultural heritage domains. He bridges theoretical electromagnetic modeling with real-world sensor deployment. His publication trend reveals a concentrated focus on machine learning for electromagnetic systems, particularly in chipless RFID and NFC applications. Recent works demonstrate innovative approaches to spectrum utilization, tag design, and robust detection techniques using deep learning architectures like U-Net, with significant contributions to agricultural monitoring, museum preservation, and animal health tracking. His scientific achievements have been recognized through: Best Application of AI in a Student Project (AI Awards Ireland) Wrixon Research Excellence Bursary Postgraduate Publication of the Year Awards (2020, 2023) Best Student Research Paper, International Workshop on Antenna Technology (2021) Best Demonstration Award, VistaMilk Conference (2023) As an active IEEE Member, Dr. Rather contributes to the Wireless Communications and AI Research Lab’s mission of advancing electromagnetic systems through AI. His current projects include transparent epidermal antennas for human-centric IoT and battery-less NFC sensors for health monitoring, with demonstrated impact in cattle health tracking and museum artifact preservation.
Sadettin Kapucu is a Professor at the Department of Mechanical Engineering , Faculty of Engineering , Gaziantep University , Turkey. With over 30 years of academic experience, he specializes in robotics, mechatronics, TRIZ-based inventive problem-solving, and vibration control systems. His career spans roles from Research Assistant (1987-1990) to Professor (2006-present) at Gaziantep University, and he has served as Head of the Mechanics and Dynamics Division since 2016. His educational background includes a PhD (1994) and MS (1990) in Mechanical Engineering from Gaziantep University and METU, respectively. PhD: Gaziantep University (1994) MS: Middle East Technical University (1990) BS: Middle East Technical University (1987) Kapucu’s research focuses on robot dynamics , TRIZ methodology , flexible systems control , and mechatronic design . He has pioneered techniques like hybrid input shaping for vibration suppression and variable stiffness actuators for rehabilitation robotics. His work bridges theoretical innovation and practical applications in industrial, medical, and agricultural robotics. Scientific achievements include the 2019 2nd Best Paper Award at ICICT 'xx19 and the 2009 Elginkan Foundation Technology Award . He has supervised over 18 graduate theses and secured 13 research grants, including TÜBİTAK-funded projects on olive oil processing and telehandler design.
Abdulcabbar Yavuz is an Associate Professor in the Department of Metallurgy and Materials Engineering at Gaziantep University's Faculty of Engineering. He holds a Ph.D. in Chemistry from the University of Leicester (2010-2015) and a Licence degree from Ankara University's Faculty of Science, Department of Chemistry (2004-2007). Dr. Yavuz has held various academic positions at Gaziantep University, progressing from Research Assistant (2015-2018) to Doctor Lecturer (2018-2021), and currently serves as Associate Professor (2021-present). His research spans multiple areas within materials science and engineering, with a primary focus on Materials and Metallurgical Engineering, Material Surface Treatments, Corrosion, and Material Production Technologies. Dr. Yavuz has made significant contributions to the development of energy storage materials, particularly in the field of supercapacitors and flexible electrodes. His work combines experimental materials engineering with advanced computational techniques for microstructural analysis. Dr. Yavuz's publication record shows a strong trend toward interdisciplinary research connecting materials science, electrochemistry, and computer vision. His recent work integrates machine learning approaches for microstructural analysis with traditional materials engineering, while maintaining a strong focus on practical applications in energy storage. He has published extensively on flexible supercapacitor electrodes, corrosion resistance techniques, and sustainable materials development. As an academic leader, Dr. Yavuz has served as Deputy Dean (2021-2024) and Department Head (2020-2022, 2023-2026) at Gaziantep University. He has supervised numerous doctoral and master's students, with completed theses focusing on flexible electrode design, supercapacitor applications, and energy storage materials. His research has been supported by multiple national projects related to laboratory infrastructure development, laser metal shaping, and energy storage materials.
Rakesh Singh is a Professor in the Department of Food Science & Technology at the University of Georgia's College of Agricultural & Environmental Sciences . His research focuses on emerging food processing technologies for safety and quality enhancement. Email: rsingh@uga.edu Phone: 706-542-1084 Address: Food Science Building, 100 Cedar St., Athens, GA 30602 Research Interests include value-added food processing using UV/H 2 O 2 for aflatoxin decontamination , high-pressure processing , atmospheric cold plasma , and radio frequency heating for food safety. His work also explores physical, microbiological, and chemical characterization of food products during processing. Academic Contributions include co-authoring the textbook Fundamentals of Food Engineering (4th edition, 2018) and teaching courses like FDST 3910/8910: Food Science Internship and FDST7020E: Integration of Multidisciplinary Topics in Foods .
Dr. José Luis Morales Benavente serves as an Adjunct Professor in the Department of Economic Analysis at the University of Alicante's School of Economics. With three engineering degrees from the same institution, he has maintained continuous affiliation since completing his studies in 1998-1999. His academic career spans over 25 years with consistent teaching contributions. Education: Computer Engineering, EPSA - University of Alicante (1999) Technical Engineering in Business Information Systems, EPSA - University of Alicante (1999) Technical Engineering in Computer Systems, EPSA - University of Alicante (1998) His research trajectory evolved from industrial computer vision applications (2000-2003) toward educational software documentation (2008-2010). Early work focused on textile quality control systems using image processing algorithms and DSP implementations for defect detection, with publications in journals like Revista Española de Electrónica and Técnica Textil Internacional. Later contributions centered on open-source office software documentation. Current activities emphasize mathematics instruction for economics students across multiple degree programs. Teaching remains his primary focus with documented instruction in mathematics courses for economics and business programs through 2025. His research projects included publicly funded work on textile manufacturing automation (1999-2001) and technology transfer initiatives (2001-2004), though no recent research output appears in official records. Research Management: Coordinator: 'Transferencia y valoración tecnología' (University of Alicante, 2003-2004) Collaborator: 'Sistema automático de corte...' (Ministerio de Educacion, 1999-2001) Collaborator: Private sector project with GESTION TRIBUTARIA TERRITORIAL SAU (2001-2002) His career demonstrates a transition from technical research toward teaching specialization within the economics faculty, maintaining institutional continuity at the University of Alicante for over two decades.
Fátima Capela Fortunas Teixeira serves as Associate Professor at the School of Engineering, University of Minho, and Senior Researcher with PhD at Centro ALGORITMI/LASI. She is also a Member of the Coordinating Committee for the Bachelor's Program in Industrial and Management Engineering (LEGI) at the University of Minho. Bachelor in Systems Engineering and Informatics (1984), University of Minho Doctor in Chemical Engineering (1989), University of Birmingham, School of Chemical Engineering Integrated Master in Industrial and Management Engineering (2016), University of Minho Professor Teixeira's research spans Computational Fluid Dynamics applications across multiple domains including heat transfer, thermal comfort, PCB modeling, two-phase flows, Organ-on-a-Chip modeling, forest fire simulation, and biomass combustion. Her work demonstrates strong interdisciplinary connections between engineering fundamentals and practical applications. She has recently expanded her research into misinformation modeling and digital health applications, showing the versatility of her computational approach. Her publication record reveals a strong trend toward interdisciplinary applications of CFD techniques, with recent work spanning traditional engineering domains like biomass combustion and thermal systems, while also venturing into emerging areas like Organ-on-a-Chip technology, misinformation modeling, and digital transformation in industrial contexts. Her research shows increasing integration of educational methodology with technical content, particularly through Project-Based Learning approaches. Professor Teixeira has made significant contributions to engineering education through innovative teaching methodologies. She has supervised 15 PhD theses and 85 MSc dissertations throughout her career, demonstrating her commitment to developing the next generation of engineers. Principal Investigator in one research project Co-PI in one research project Researcher in 20 projects Supervisor of 27 grant projects She maintains active research collaborations through her membership in the IEM R&D Group and EHF R&D Lab at Centro ALGORITMI, contributing to both fundamental engineering research and practical industrial applications. Her work with nearly 650 collaborators demonstrates her strong network and interdisciplinary approach to research problems.
