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Nadeem RatherView profile

Research Fellow

• Electromagnetic Systems
• RF Technologies
• AI Algorithms
• +3 more

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 KapucuView profile

Professor

• Mechanical Engineering
• Robotics
• Mechatronics
• +11 more

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.

• Industrial Engineering
• Supply Chain Management
• Logistics and Transportation
• +9 more

Professor Eren Ozceylan is a faculty member at Gaziantep University, Faculty of Engineering, Industrial Engineering Department . He holds a PhD in Computer Engineering from Selcuk University (2013), an MSc in Industrial Engineering (2010), and a BSc in Industrial Engineering (2007). His research focuses span Supply Chain Management , Logistics and Transportation , Modeling and Optimization , and Humanitarian Logistics , with a strong emphasis on GIS-based spatial analysis , Fuzzy Logic , and Industry 4.0 technologies. Education: PhD (2013) in Computer Engineering, Selcuk University MSc (2010) in Industrial Engineering, Selcuk University BSc (2007) in Industrial Engineering, Selcuk University His work integrates Multicriteria Decision Analysis (MCDM) with Mathematical Programming , addressing challenges in Sustainable Supply Chains , Refugee Camp Location Planning , and Smart Manufacturing . Recent publications highlight applications of Blockchain for supplier selection, AI-assisted translation in logistics, and Drone-based inventory management . He has authored 25 book chapters and 125 peer-reviewed journal articles, often collaborating with researchers like Ibrahim Mirac Eliguzel, Suleyman Mete, and Cihan Cetinkaya. Scientific contributions include pioneering studies on Disassembly Line Balancing for end-of-life products, GIS-based Maximum Coverage Models for humanitarian depots, and Fuzzy AHP-WASPAS frameworks for electric vehicle charging stations. His work appears in high-impact journals such as Expert Systems with Applications , IEEE Transactions on Engineering Management , and Journal of Cleaner Production , with a focus on Q1/Q2 quartile journals and SCI/SSCI indexing . Professor Ozceylan's methodological toolkit includes Hybrid Metaheuristics (e.g., Discrete Crow Search, Beam Search), Entropy Weighting , and Spherical Fuzzy Sets . He has presented at 218 international/national conferences, addressing topics like Autonomous Systems , ERP Integration for Industry 4.0 , and AI in Last-Mile Delivery . His research bridges theoretical innovation with real-world applications in sectors ranging from Textiles to Public Transportation in Turkey-Syria border regions.

Abdulcabbar YavuzView profile

Associate Professor

• Materials and Metallurgical Engineering
• Material Surface Treatments
• Corrosion
• +5 more

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.

Morales Benavente, José LuisView profile

Adjunct Professor

• Computer Vision
• Industrial Automation
• Economic Mathematics
• +3 more

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.

Choi Hee-eunView profile

Assistant Professor

• Apparel Technical Design & Production
• Sizing & Fitting
• Human Factors & Ergonomics
• +2 more

Choi Hee-eun is an Assistant Professor at Seoul National University's College of Human Ecology, Department of Clothing and Textiles. Her work focuses on data-driven garment design and production systems. Specialty: Apparel Technical Design & Production Contact: heeeun.choi@snu.ac.kr Address: Building 222, Room 311, 1 Gwanak-ro, Gwanak-gu, Seoul 08826 Research Areas : Sizing & Fitting standardization Human Factors & Ergonomics integration Smart Wearable Design Automated Apparel Production Virtual Tailoring Systems Garment Performance Evaluation

• Sustainable Fashion
• Textile Comfort Psychology
• Eco-Design
• +7 more

Ana Cristina Luz Broega is an active Assistant Professor at the University of Minho's School of Engineering, Azurém Campus, where she directs the Master's in Fashion Communication Design program and teaches courses spanning Fashion Design Project, Advanced Apparel Design, and Ethical Fashion. Her academic career at the institution began in 1997 as an Intern Assistant, progressing through Assistant Professor positions since 2008, with significant leadership roles including membership on the Master's in Design and Marketing Steering Committee. PhD in Textile Engineering - Textile Physics (2008), University of Minho School of Engineering Master's in Design and Marketing (2001), University of Minho School of Engineering Bachelor's in Textile Engineering (1994), University of Beira Interior Broega's research centers on sustainable fashion systems with particular emphasis on psychological comfort dimensions in clothing, circular economy implementation, and creative process innovation. Her work bridges textile engineering with human-centered design, examining how emotional, social, and cultural factors influence garment acceptance and usage patterns. Current investigations explore aging populations' clothing needs, gender-neutral fashion frameworks, and waste valorization through surface design. Analysis of her recent publications reveals a strong trajectory toward systemic sustainability solutions, with increasing focus on circular business models, emotional durability, and cross-sensory design methodologies. Her work consistently connects material science with consumer behavior, demonstrating how technical textile properties intersect with psychological comfort perception to drive sustainable adoption. Curricular Merit for Research in Textile Field (2005) Award for Best Final Average in Bachelor's Engineering (1994), Order of Engineers Portugal Broega actively mentors doctoral and master's students across fashion design, sustainability, and communication fields while leading European Commission-funded projects including Fashion Alive (2022-2034) and TEXSTRA (2017-2020). Her research grants focus on sustainable education frameworks, textile innovation, and cross-border design collaboration. As principal organizer of the International Congress on Fashion and Design (CIMODE) since 2012, she facilitates global knowledge exchange among designers, researchers, and industry professionals. Her work integrates closely with the Textile Science and Technology Center (2C2T), leveraging university-industry partnerships to advance sustainable textile applications while directing the Fashion Communication Design program that connects academic research with market innovation through collaborative platforms like A Malha.

• Circadian Rhythms
• Sleep Disorders
• Mental Health
• +3 more

Dr. Mirim Shin is a Research Fellow at the Brain and Mind Centre within the Faculty of Medicine and Health at The University of Sydney, where she also holds affiliations with the Charles Perkins Centre. Her work bridges circadian biology, sleep science, and mental health across developmental stages, with current focus on youth mental health and technology-driven interventions. Education Bachelor of Health Science (First Class Honors, 2011) - Thesis: "Positive emotions associated with Counter-Strike game playing" PhD (2015) - Thesis: "Influence of sleeping apparel and bedding textile on thermal comfort and sleep" Dr. Shin's research centers on establishing causal relationships between objective circadian disturbances and mental illness progression. Her work spans neurosciences and mental health with specialization in depression, sleep disorders, and health psychology. Early career focused on sleep-thermoregulation interactions in aging populations evolved into dementia care quality improvement, now pivoting to youth mental health where she investigates sleep-wake cycle disruptions as modifiable targets for intervention. Her methodological approach combines actigraphy, physiological monitoring, and digital phenotyping to quantify circadian rhythms in clinical populations. Analysis of her 15 most recent publications (2023-2025) reveals a dominant focus on circadian-metabolic-immune interactions in youth mood disorders, with increasing emphasis on biomarker discovery (insulin resistance, skin temperature rhythms) and digital intervention development. Parallel work continues in dementia care through community-based rehabilitation models, demonstrating her dual expertise across age spectra. Scientific Awards BMC Emerging Researcher Award (2025) Dr. Shin has secured competitive funding including the Global Youth Mood Disorders Citizen Science Initiative (2024) from the Circadian Mental Health Network and earlier Australian Wool Innovation grants for sleepwear research (2015). While no formal advisees are documented, her collaborative publications indicate active mentorship within multidisciplinary teams spanning psychiatry, geriatrics, and engineering. She leads the Youth Mental Health & Technology Team within the Brain and Mind Centre's Translational Research Collective, developing circadian-targeted interventions using wearable sensors and digital platforms. Current initiatives include international circadian rhythm studies in youth and implementation of home-based dementia reablement programs.

Alvo AablooView profile

Professor

• Advanced Materials
• Nanotechnology
• Robotics
• +5 more

Alvo Aabloo is a Full Professor at the University of Tartu's Institute of Technology, where he leads the Intelligent Materials and Systems Laboratory (IMS Lab). His affiliations include a postdoctoral position at Uppsala University (1995–1996) and ongoing roles at the University of Tartu since 2005. The IMS Lab, accessible via www.ims.ut.ee , specializes in electroactive polymers, biomimetic robotics, and sustainable materials. His research integrates Advanced Materials , Nanotechnology , and Soft Robotics , with emphasis on: Biomimetic actuators (e.g., spider-leg exoskeletons, plant-inspired fluid transport) Ionic polymer-metal composites for precision manipulation Acoustic metamaterials for noise control Green sensors using bacterial cellulose and bio-derived ionic liquids Recent publications (2022–2025) reveal trends in: Robotics education tools (ROS2 web labs, 3D-printable robots) Programmable metamaterials for environmental applications Textile-based encoding and wearable compliance modulation He pioneers sustainable tech, such as all-printed micro-supercapacitors and biodegradable artificial muscles, while collaborating globally on projects spanning Italy, China, and Sweden.

Shachar ItzhakyView profile

Associate Professor

• Program Synthesis
• Automated Reasoning
• Functional Programming
• +5 more

Shachar Itzhaky is an Associate Professor in the Department of Computer Science at Technion - Israel Institute of Technology, Haifa. His research spans multiple areas of programming languages, formal methods, and software engineering, with a focus on making program development and verification more accessible and efficient. He has served on program committees for numerous prestigious conferences including PLDI, POPL, SPLASH, and ICFP. Dr. Itzhaky's research interests center around program synthesis, automated reasoning, and formal verification. His work in program synthesis explores techniques for automatically generating programs from high-level specifications, with applications in end-user programming and software development. In automated reasoning, he has made significant contributions to e-graph based reasoning, invariant inference, and property-directed verification. His research in formal methods focuses on practical applications for program verification, particularly for data structures and security properties. An analysis of his recent publications reveals a strong focus on leveraging advanced formal techniques for practical program understanding and generation. His work consistently bridges theoretical foundations with practical applications, particularly in program synthesis, verification, and end-user programming tools. The trend shows increasing integration of machine learning techniques with traditional formal methods, as well as expanding applications to security and privacy domains. ACM SIGPLAN John C. Reynolds Doctoral Dissertation Award Dr. Itzhaky has been actively involved in the programming languages research community, serving on numerous program committees and contributing to the advancement of formal methods and program synthesis. His work has practical implications for software development tools, security analysis, and end-user programming environments. While specific grant information isn't detailed in the provided text, his extensive publication record in top-tier venues suggests successful funding for his research endeavors. His work on projects like Object Spreadsheets and Lifty demonstrates a commitment to creating practical tools that address real-world programming challenges. Dr. Itzhaky's research is conducted within the vibrant programming languages and formal methods group at Technion's Computer Science department. His work intersects with multiple research threads including program synthesis, verification, and security, suggesting collaboration across these areas within the department. His tools like EPR-based Verification, PDR∀, and VeriCon represent significant technical contributions that likely form the basis of ongoing research projects with students and collaborators.

• Industrial Engineering
• Operations Management
• Logistics
• +3 more

Ângela Silva is an Assistant Professor at the Department of Production and Systems , School of Engineering, University of Minho, and a researcher at the ALGORITMI Research Centre . She holds a PhD (2008), MSc (2003), and BSc (2000) in Industrial Engineering from the University of Minho. Former director of Industrial Engineering and Management degrees at Lusíada University (2012–2017) and Distribution/Logistics programs at Polytechnic Institute of Viana do Castelo (2018–2023) Coordinated research groups in Industrial Processes (CLEGI, 2013–2018) and Organizational Processes (AdiT-Lab, 2021–2023) Her research focuses on Operations Management , Logistics , and Supply Chain Modeling , with over 60 publications. Recent work addresses: Lean manufacturing via SMED methodology in automotive and cable production Reverse logistics integration with continuous improvement Eco-friendly intermodal transportation and electric vehicle infrastructure Optimization of textile layouts and fire station scheduling via linear programming Regional development through SDG 9/11 frameworks in Alto Minho Publications span international journals and conference proceedings , emphasizing practical applications in logistics, sustainable operations, and industrial problem-solving. Supervised/co-supervised over 40 MSc dissertations in operations/logistics Active in editorial boards (e.g., International Journal of Engineering and Industrial Management, 2014–2018) She contributes to ALGORITMI Research Centre (integrated member since 2023) and has participated in funded projects from Fundação para a Ciência e a Tecnologia (e.g., contracts UID/CEC/00319/2019, UID/EMS/04005/2019).

Luc RollandView profile

Lecturer

• Robotics
• Advanced Robotics
• Parallel Robot Design
• +7 more

Luc Rolland is a Lecturer at the University of the West of Scotland, affiliated with the School of Computing, Engineering and Physical Sciences. He has maintained an active research profile since 1996 with recent collaborations at Centrale Nantes, Memorial University, and other international institutions. His research focuses on high-performance robotics systems design across multiple application domains. Rolland's work spans material handling systems, high-speed milling machinery, solar tracking mechanisms, palettizing solutions, reconfigurable robots, and stair-climbing platforms. His expertise extends to robot modeling, simulation, and control systems with particular emphasis on path planning and path pursuit certification. Recent publications (2021-2023) demonstrate a strategic expansion into healthcare robotics, decontamination systems, and autonomous vehicle validation. His work shows strong interdisciplinary connections between mechanical engineering, environmental science, and public health applications, particularly in ozone-based decontamination systems and UAV technology. Advanced robotics system design and implementation Parallel manipulator development for specialized applications UAV path planning and sense-and-avoid systems Hydrogen fuel cell systems for maritime applications Validation methodologies for autonomous vehicle features Rolland actively supervises three PhD students on projects related to UAV path planning, sense-and-avoid systems, and hydrogen-powered ship design. His research collaborations span Memorial University of Newfoundland, Centrale Nantes, and other international institutions. He has served as a visiting researcher at Ostfalia University of Applied Sciences and Changchun Institute of Technology, while also hosting academic visitors and providing peer review services for academic journals.

• Computer Vision
• Image Analysis
• Machine Learning
• +4 more

Dr Shahana Bano is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University, specializing in interdisciplinary applications of Artificial Intelligence. Her research spans biomedical imaging, environmental monitoring, infrastructure analytics, and socio-technical systems through the Machine Vision Research Group and Cybersecurity Research Group. Her educational background includes a PhD in Computer Science and Engineering, M.Tech in Computer Science and Engineering, MSc in Information Systems, and BCA - all completed full-time. Her research philosophy centers on convergence, bringing together diverse data types, technologies, and disciplines to create impactful, adaptive systems that bridge academic innovation with societal relevance. Dr Bano's research interests focus on Computer Vision, Image Analysis, Machine Learning, Data Analytics, Internet of Things, Text to Speech Systems, and Social Media Threat Intelligence. Her recent work demonstrates strong application of these interests to medical diagnostics (CAR-T cell classification), environmental monitoring (geothermal reservoir modeling), infrastructure analytics (pipeline defect detection), and social systems (hate detection in football communities). Her publication record shows consistent output with 32 research outputs from 2015-2025, demonstrating increasing focus on medical and environmental applications of AI in recent years. The work spans theoretical computer vision advancements to practical implementations addressing UN Sustainable Development Goals. Associate Fellow (AFHEA) 2023 from Advance HE Dr Bano actively supervises PhD students and mentors interns on diverse projects. Current PhD supervision includes research on morphological classification of CAR-T cell images for leukemia diagnosis and acoustic emission-based pipeline defect detection. She also guides students on projects involving AR-based navigation, NDVI vegetation mapping, hate detection in football communities, multimodal sensor fusion, and airport runway object detection. Her lab resources are supported through university research groups and collaborations focused on machine vision and cybersecurity applications.

DURSUN ÖZTÜRKView profile

Associate Professor

• Renewable Energy Systems
• Hybrid Power Systems
• Control Systems
• +5 more

Dr. Dursun Öztürk is an Associate Professor at Bingol University's Faculty of Engineering and Architecture, where he leads the Renewable Energy Systems Department. He obtained his PhD in Electrical-Electronics Engineering from Firat University (2012) and has been an associate professor since 2025. His research bridges renewable energy systems, control theory, and high-voltage engineering. Research Focus: Dr. Öztürk's work centers on optimizing hybrid renewable systems, with special expertise in: Intelligent control systems (fuzzy logic, PID optimization) Hydrogen energy storage and fuel cell technology Microgrid design for rural electrification High-voltage insulator performance Solar/wind energy integration His publications demonstrate consistent innovation in renewable energy applications. Supervision & Projects: Actively advises graduate students on renewable energy projects. Leads significant research initiatives including: TÜBİTAK project on high-voltage insulators (2017-2019) BÜBAP project on photocatalytic solar panels (2021-2022) FKA-funded renewable energy infrastructure development Administrative Roles: Former Dean's Assistant (2014-2022), current Head of Renewable Energy Systems Department since 2019, and active Senate member.

Quoc Chi NguyenView profile

Professor

• Robotics
• Crane Control
• Vibration Control
• +6 more

Professor Quoc Chi Nguyen serves as Vice Dean of the Faculty of Mechanical Engineering at Ho Chi Minh City University of Technology, Vietnam. He also holds the position of Head of the Department of Mechatronics since 2018. With a strong academic background including a Ph.D. from Pusan National University, Korea, and a Marie Curie FP7 postdoctoral fellowship at Tel Aviv University, Professor Nguyen has established himself as a leading researcher in control engineering and robotics. Professor Nguyen's educational journey began with a B.S. in Mechanical Engineering from Ho Chi Minh City University of Technology in 2002, followed by an M.S. in Cybernetics from the same institution in 2006. He completed his Ph.D. in Mechanical Engineering at Pusan National University, Korea, in 2012, and then pursued postdoctoral research at Tel Aviv University from 2013-2014. His research expertise spans Robotics , Crane Control , Vibration Control , Nonlinear Analysis , Dynamic Analysis , and Advanced Control Theory . Professor Nguyen's work focuses on developing innovative control algorithms for flexible structures, industrial automation systems, and mechatronic applications. His recent publications demonstrate a strong emphasis on practical industrial applications of control theory, including robotics integration, computer vision systems, and energy-efficient pneumatic systems. With 58 publications that have accumulated 32,041 reads and 782 citations, Professor Nguyen has established a significant research impact. His publication trend shows consistent productivity with recent work extending to projected 2025 publications, indicating an active and ongoing research program. The breadth of his work spans from fundamental control theory to practical industrial applications across multiple sectors including manufacturing, agriculture, and logistics. Marie Curie FP7 Postdoctoral Fellowship Professor Nguyen currently leads research activities through his lab at Ho Chi Minh City University of Technology. His leadership roles as Vice Dean and Department Head provide substantial resources and opportunities for research collaboration. With numerous co-authors and international connections, particularly stemming from his time at Tel Aviv University, he maintains an active global research network that benefits his students and colleagues.