Ciprian Cimpan is an Associate Professor at the Department of Green Technology (IGT), University of Southern Denmark, and a key member of the SDU Climate Cluster and SDU Life Cycle Engineering. His research focuses on Circular Economy , Industrial Ecology , Waste and Resources Management , and Life Cycle Assessment , with a strong emphasis on sustainable growth and resource efficiency. Postdoctoral Fellow, Norwegian University of Science and Technology (2019–2021) His recent publications highlight applications of LCA in evaluating additive manufacturing , plastic packaging , and critical material recycling within green transition contexts. He also investigates systemic challenges in textile waste , ICT product obsolescence , and rebound effects in reuse practices . Scientific awards include the DANROAD Prize (2025) for innovative drug recycling. He supervises PhD student Bubinek R. and teaches courses on Eco-efficient Engineering , Waste Management , and Solid Waste Processing .
Prof. Dr. Michael Höck serves as a University Professor at the TU Bergakademie Freiberg , holding the Chair of Industrial Management/Production Economics, Logistics within the Faculty of Business Administration . His academic career spans over two decades, with affiliations at institutions including Purdue University and GISMA Business School. Current: Chair of Industrial Management (since 2008) Past: Visiting Assistant Professor at Purdue University (2005-2006, 2002) Past: Professor at GISMA Business School (2007) Education : Habilitation in Industrial Management (2005, University of Hamburg) PhD in Business Administration (1997, University of Hamburg, summa cum laude) Research Interests focus on optimizing industrial systems and service operations. His work bridges production economics with logistics, emphasizing flexible manufacturing, service innovation, and operations strategy. Publications reflect interdisciplinary approaches to process optimization and quality management. Contact : Michael.Hoeck@bwl.tu-freiberg.de | Office hours: Wednesdays 17:00-18:00
Raivo Jaaniso is an Associate Professor in Materials Science and Applied Physics at the Institute of Physics, Faculty of Science and Technology, University of Tartu. He has held this position since February 2024, having previously served as an Associate Professor from January 2021 to February 2024. Since June 2015, he has led the Sensor Technology Research Group and Laboratory at the University of Tartu. Dr. Jaaniso earned his Doctor's Degree in 1988 from the Institute of Physics, Estonian Academy of Sciences, with a dissertation titled "Spectrally selective processes of energy transformations in solid solutions of chlorophyll-like molecules," supervised by Jaak Kikas and Rein Avarmaa. His undergraduate studies in physics were completed at the University of Tartu from 1976 to 1981. Dr. Jaaniso's research focuses on graphene, sensor materials, gas sensors, optical spectroscopy, and pulsed laser deposition. His work spans materials science and applied physics, with particular emphasis on developing advanced sensor technologies for environmental monitoring and healthcare applications. He has pioneered research on graphene-based gas sensors, optical sensing materials, and nanomaterials for detection systems. Current projects include early diagnosis of neurodegenerative diseases with electronic nose technology and novel structures for gas microsensor arrays based on 2D materials. His recent publications reveal a strong trend toward graphene-TiO 2 heterostructures for gas detection, black aluminum films for thermal applications, and light-induced gas sensing mechanisms at room temperature. These works demonstrate his interdisciplinary approach combining materials science, optics, and sensor technology to address environmental and health monitoring challenges with practical solutions. University of Tartu Badge of Distinction (2023) Dr. Jaaniso has supervised numerous doctoral and master's students, including Martin Lind, Paniz Vafaei, and Ahmet Burak Baloglu who are currently completing their doctoral research. He has led significant research projects funded by the Estonian Research Council (totaling over €2 million in the past decade), European Commission, and industry partners including Infineon Technologies. His administrative roles include membership in the Graphene Flagship network and the NATO STO Exploratory Team on Novel Two-dimensional Materials for Military Applications. As head of the Sensor Technology Research Group, Dr. Jaaniso leads a multidisciplinary team focused on developing next-generation sensor technologies using 2D materials and advanced nanofabrication techniques. The group maintains active collaborations with international partners including the Czech Academy of Sciences and European research networks.
Nikolai Gustschin is a researcher affiliated with the Chair of Biomedical Physics at the Technical University of Munich (TUM) , associated with the Faculty of Medicine and the Department of Physics . His work focuses on developing advanced imaging techniques for clinical applications. Research Interests: X-ray grating interferometry, dark-field CT, phase contrast imaging, clinical translation of imaging technologies, grating fabrication quality assessment. Recent Publications highlight his contributions to dark-field CT algorithms, vibration modeling for interferometers, and grating fabrication methods. Collaborations with experts in biomedical physics and engineering are central to his work.
Prof. Dr. Martin Spindler is a Professor for Statistics at the Department of Statistics with Application in Business Administration, University of Hamburg Business School. His research bridges Econometrics, Statistics, and Machine Learning, focusing on high-dimensional methods, causal inference, and applications in finance, insurance, and health economics. Current position since 2016 Visiting Professor at University Mannheim (2016), Boston College (2015), and MIT (2015, 2013-2014) Senior Researcher at Max Planck Society (2012-2016) Education: PhD in Economics, University of Munich (2012) Master in Mathematics and Economics, University of Munich (2008) and Regensburg (2003) B.A. in Mathematics, University of Regensburg (2005) His methodological work includes L2Boosting for treatment effect estimation, double machine learning frameworks, and nonparametric approaches for asymmetric information. Applications span from fraud detection in claims management to pandemic shielding strategies and financial forecasting. Research Trends: Recent publications emphasize high-dimensional statistical methods, causal machine learning, and interdisciplinary applications. Key tools include double machine learning, attention networks, and transformation models. Collaborations: Active partnerships with institutions like MIT, Boston College, and Max Planck Society, alongside contributions to open-source software (e.g., DoubleML, hdm package).
John Breslin is a Personal Professor in Electronic Engineering at the College of Science and Engineering, University of Galway, serving as Director of the TechInnovate and AgInnovate programmes. Associated with two Taighde Éireann – Research Ireland Centres, he is a Principal Investigator at Insight Centre for Data Analytics (specializing in data analytics) and a Funded Investigator at VistaMilk (Agri-Technology), while also leading the EDIH Data2Sustain project. With an h-index of 50, over 12,000 citations, and 300+ peer-reviewed publications including seminal books on the Social Semantic Web, he ranks among Ireland's most influential researchers in digital technologies. Breslin's research fundamentally bridges Semantic Web technologies, AI-driven data analytics, and practical innovation. His co-creation of the SIOC framework—implemented across 65,000+ websites by entities like Yahoo and Boeing—demonstrates real-world impact in social data interoperability. Current work leverages blockchain and federated learning for sustainable Agri-Technology through VistaMilk, while his TechInnovate programmes translate academic research into commercial ventures across healthcare, smart manufacturing, and energy systems. Analysis of his 15 most recent publications reveals dominant themes in AI-enhanced security (35% of works), blockchain applications for sustainability (27%), and multimodal AI for healthcare (20%). His team pioneers privacy-preserving techniques for IoT and medical devices, neurosymbolic visual reasoning frameworks, and federated learning architectures addressing data heterogeneity—directly supporting his roles in national research infrastructures like Insight and VistaMilk. John has received several prestigious awards: IIA Net Visionary Award (twice) ITAG Outstanding Contribution to the ICT Sector Award Galway Chamber President’s Award Best Irish-Published Book Award (2020 for Old Ireland in Colour) Multiple Best Paper Awards He leads major research initiatives funded by Taighde Éireann – Research Ireland: Insight Centre for Data Analytics (as Principal Investigator) VistaMilk SFI Research Centre (as Funded Investigator) EDIH Data2Sustain (as Principal Investigator) His entrepreneurial programs TechInnovate and AgInnovate have mentored 200+ startups, securing €50M+ in follow-on funding. Breslin co-founded PorterShed (Galway City Innovation District) and serves on Scale Ireland's Steering Group, creating Ireland's most active regional innovation ecosystem outside Dublin. He maintains active industry partnerships with Vodafone, Boeing, and agricultural cooperatives through VistaMilk's testbed facilities.
André Catarino is an Assistant Professor in the Department of Textile Engineering at the University of Minho, Portugal, and Deputy Director of the 2C2T – Center for Textile Science and Technology since 2022. He is an integrated researcher at the center, with a strong focus on interdisciplinary research at the intersection of textiles, electronics, and materials science. Education: Postgraduate Specialization in Digital Business, University of Porto, Porto Business School (2020–2021) Ph.D. in Textile Engineering, University of Minho (2005) M.Sc. in Textile Engineering, University of Minho (1998) B.Sc. in Electrical and Computer Engineering, University of Porto (1992) Research Interests: André Catarino's research spans a wide range of domains, including smart and electronic textiles , wearable sensor systems , materials engineering , and functional textiles for health and sports . His recent work also delves into digital marketing and the application of artificial intelligence in textile systems. His expertise encompasses electronics, instrumentation, programming, fabric manufacturing, and textile characterization. He has led or participated in over 25 national and international research projects , including EU-funded initiatives like BE@T, GreenAuto, and Fashion Alive. His work has resulted in 4 Portuguese patents and 1 European patent , alongside numerous prototypes and technology transfers. Publications and Impact: With over 115 scientific publications , including journal articles, book chapters, and conference proceedings, his research output is both broad and impactful. His recent publications focus on smart vests for posture monitoring, textile-based EMG electrodes, and consumer behavior in fashion marketing. Student Supervision: He has supervised or co-supervised more than 45 master’s and doctoral dissertations , covering topics from wearable health monitoring systems to sustainable fashion design and digital marketing strategies. Labs and Teams: As Deputy Director of the 2C2T – Center for Textile Science and Technology , he leads a multidisciplinary team of researchers and engineers. The center is a hub for innovation in textile science, with a strong emphasis on integrating electronics, sustainability, and human-centered design into textile applications.
Helder Carvalho is an Associate Professor at the University of Minho's School of Engineering, Campus de Azurém, where he also serves as Director of the Department of Textile Engineering and Director of the Master's program in Textile and Accessories Product Design and Innovation. His academic career spans over three decades, with a focus on textile engineering and its intersection with electronics and automation systems. His educational background includes: PhD in Textile Engineering (2004) from University of Minho, School of Engineering MSc in Textile Engineering (1998) from University of Minho, School of Engineering BSc in Electrotechnical and Computer Engineering (1992) from University of Porto, Faculty of Engineering Professor Carvalho's research primarily focuses on smart textiles, textile sensors, and instrumentation systems for industrial sewing machines. His work bridges the gap between traditional textile manufacturing and modern electronics, creating innovative solutions for interactive textiles and wearable technology. He has particular expertise in developing flexible sensors that can be integrated into fabrics for applications ranging from sports performance monitoring to healthcare. His recent publications demonstrate a strong trend toward sports applications of smart textiles, with numerous papers on fencing apparel, karate body protectors, and general athletic performance monitoring. The research spans material science, sensor development, and user experience design, showing a comprehensive approach to creating functional and attractive smart textile products. Professor Carvalho has received recognition through research funding from major institutions: BE@T Bioeconomy Textile and Clothing (current) Greenauto - Green Innovation for the Automotive Industry (current) Factor ST+ (2021-2023) FAMEST (2017-2020) TSSIPRO (2016-2019) He has directed multiple academic programs including the Master's in Textile and Accessories Product Design and Innovation, and coordinated educational initiatives like the CET 'Fashion Commerce' program. His work at the Textile Science and Technology Centre demonstrates a commitment to translating research into practical applications across sports, healthcare, and industrial manufacturing sectors.
Karunanayake Esselle (Karu P. Esselle) is a Distinguished Professor in Electromagnetic & Antenna Engineering at the University of Technology Sydney (UTS), School of Electrical and Data Engineering. He is a world-renowned expert in telecommunications, defence, and space technologies, leading the MetaSteerers research team. His affiliations include roles as Senior Editor for IEEE Access, Visiting Professor at Macquarie University, and Fellow of the Royal Society of New South Wales, IEEE, and Engineers Australia. Education includes a BSc (First Class Hons) in Electronic Engineering from the University of Moratuwa (Sri Lanka), and MASc/PhD in Electrical Engineering from the University of Ottawa (Canada). Research focuses on electromagnetic engineering, antenna design (including resonant cavity, metasurface, and millimeter-wave antennas), wireless communication systems, and applications in defence/space. His work emphasizes high-gain beam-steering antennas, wearable/implantable devices, satellite communications, and electromagnetic shielding. Recent trends include meta-steering techniques, CubeSat-compatible arrays, solar-cell-integrated antennas, and 3D-printed metasurfaces. Awards include the Premier’s Prize for Innovation Leadership (2024), Australian Eureka Prize (2023), Professional Engineer of the Year (2022), and 21 major prizes in 5 years. Key recognitions span innovation, mentorship, and research excellence across defence, space, and engineering sectors. Advises undergraduate/postgraduate students in engineering capstones and internships. Secured research grants exceeding $35 million, including ARC grants and the $245M SmartSat CRC. Leads labs like the MetaSteerers team and collaborates with defence/space industries.
Krisztina Kis-Katos serves as Professor for International Economic Policy at the University of Göttingen's Department of Economics, a position she assumed in 2016. She holds prominent leadership roles including Chairwoman of the Standing Field Committee of Development Economics of the German Economic Association (Verein für Socialpolitik) and Chairwoman of the Scientific Advisory Board of the RWI Leibniz Institute for Economic Research. Her institutional affiliations extend to research fellowships at IZA and RWI, along with editorial positions at the Journal of Labour Market Research, European Journal of Political Economy, Bulletin of Indonesian Economic Studies, and Journal of Development Studies. Professor Kis-Katos earned her Economics education in Szeged and Konstanz, attended the Swiss Doctoral Program at the Study Center Gerzensee, and received her doctoral degree from the University of Freiburg in 2010. Her scholarly work spans applied development economics and political economy with particular focus on how (de-)globalization and macroeconomic processes affect social and economic outcomes including labor markets, firm performance, land use change, deforestation, and conflict. Her research portfolio reveals consistent thematic threads across recent publications: the intersection of environmental concerns with economic development (particularly deforestation and palm oil in Indonesia), the gendered impacts of trade liberalization, the socioeconomic effects of pandemics like COVID-19, and the complex relationship between governance, corruption, and economic outcomes. Methodologically, her work combines rigorous econometric approaches with innovative data sources including satellite imagery and high-frequency power usage data. Teaching prize for the best doctoral course in RTG 1723, University of Göttingen (2019) Teaching prize of the Student Union of Economics of the University of Freiburg (2014) BMZ/GIZ Public Policy Award (2013) Friedrich-August-von-Hayek-award (2011) Excellence award of the KfW Development Bank (2011) Professor Kis-Katos leads multiple significant research initiatives including the BMZ-DEval funded evaluation of Madagascar's forest restoration program, the DFG-funded Thailand-Vietnam Socioeconomic Panel, and the DFG Research Training Group on Sustainable Food Systems. Her advisory role extends to supervising doctoral candidates through these projects and previously serving as spokesperson for the Research Training Group 1723 on Globalization and Development. Her substantial grant portfolio demonstrates strong research leadership across international collaborations involving institutions in Germany, Indonesia, Thailand, Vietnam, and the United States. Her work connects closely with the Collaborative Research Centre 990 on Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems in Sumatra, Indonesia, reflecting her deep engagement with environmental-economic research questions in Southeast Asia. She also contributes to interdisciplinary teams through projects like PlanetHealth examining global land-use impacts of the COVID-19 pandemic.
Graham Ormondroyd is a Professor at the School of Environmental and Natural Sciences , Bangor University , specializing in the Biocompounds department. His research focuses on innovative wood modification techniques, sustainable biomaterials, and environmental impact assessments. Current projects include scaling waste-based composites for infrastructure and developing Welsh wool applications. Collaborations span academia-industry partnerships like Bangor University and Zentia Ltd KTP. Research Trends: His 2025 publications emphasize multi-scale resin diffusion analysis and UK wood recycling frameworks, while 2024 work explores laser incising and phenolic resin-NMR interactions. Recent studies also address VOC emissions from formaldehyde-free composites. Professional Activities: He chairs academic panels (e.g., International Panel Products Symposium) and reviews publications. Projects focus on net-zero construction and climate resilience.
Guillermo A. Ameer serves as the Daniel Hale Williams Professor of Biomedical Engineering at Northwestern University's McCormick School of Engineering and Professor of Surgery in the Feinberg School of Medicine. He directs the Center for Advanced Regenerative Engineering (CARE) and maintains affiliations with the Simpson-Querrey Institute, Chemistry of Life Processes Institute, and the IBiS Graduate Program. His leadership extends to founding the Regenerative Engineering Laboratory, which pioneered citrate-based antioxidant biomaterials known as polydiolcitrates. Americas' leading innovator in regenerative engineering, Ameer's research spans vascular, orthopaedic, and bladder tissue engineering. His lab developed Nanonets™ thermoresponsive oligomers and photoresponsive liquid polymers for applications including wound healing, islet transplantation, and 3D-printed vascular scaffolds. Notable breakthroughs include bioresorbable stents, bladder regeneration scaffolds, and diabetic wound healing technologies that have received FDA clearance and commercial implementation through companies like Acuitive Technologies and VesselTek BioMedical. His publication record demonstrates consistent innovation in biomaterials science, with research trends showing progression from fundamental polymer chemistry to sophisticated clinical applications. Recent work focuses on electroactive bladder scaffolds, 3D-printed vascular devices, and wearable health monitoring systems, reflecting his commitment to translating laboratory discoveries into tangible medical solutions. The 2025 launch of the Regenerative Engineering Institute underscores his growing institutional impact. Percy L. Julian Award (2024) BMES Athanasiou Medal of Excellence in Translational Bioengineering (2023) Election to National Academy of Medicine (2021) National Academy of Inventors Fellow (2019) AAAS Fellow (2018) AIChE Fellow (2017) Ameer has mentored over 30 PhD and Master's students who now lead research at institutions including Penn State, USC, and the FDA. His lab secures substantial NIH funding, including an American Recovery and Reinvestment Act Challenge Grant for liquid cast arterial stents. Current projects include the development of citrate-based biomaterials for bladder regeneration, diabetic wound healing, and bioresorbable vascular scaffolds, with multiple technologies transitioning to clinical applications through partnerships with medical device companies. The Regenerative Engineering Laboratory maintains a collaborative interdisciplinary environment with approximately 20 researchers spanning engineering and natural sciences disciplines. Recent initiatives include the development of wearable skin gas sensors (2025) and CITREPORE™ bone void filler (2024), demonstrating the lab's capacity to address diverse clinical challenges through biomaterials innovation.
Magnus A. Rueping is a highly distinguished Professor of Chemistry at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. With an impressive h-index of 107 and over 35,502 citations from 430 documents, he stands as a leading figure in modern synthetic chemistry. His research group maintains active collaborations with 651 co-authors worldwide, reflecting his significant impact on the chemical sciences community. Professor Rueping's research spans multiple cutting-edge areas in organic chemistry and catalysis. His work primarily focuses on developing novel sustainable methodologies including photoredox catalysis, electrochemical synthesis, and mechanochemistry. He has made significant contributions to the fields of $$\text{C-H}$$ functionalization, late-stage modification of complex molecules, and sustainable chemical transformations. His research group explores the intersection of traditional organic synthesis with emerging technologies to create more efficient and environmentally friendly chemical processes, with particular emphasis on nickel catalysis and metal-organic frameworks. Analysis of Professor Rueping's recent publications (2023-2025) reveals a strong trend toward integrating multiple activation modes in single catalytic systems. His work increasingly combines photochemistry, electrochemistry, and mechanochemistry (particularly resonant acoustic mixing) to develop novel catalytic platforms that minimize waste and energy consumption. A notable research direction involves the application of copper nanoclusters and cerium-based metal-organic frameworks as heterogeneous photocatalysts for challenging organic transformations. His group has also pioneered methods for $$\text{C-Ge}$$ and $$\text{C-S}$$ bond formation with exceptional selectivity. Professor Rueping's research has attracted substantial funding and recognition, as evidenced by his high citation metrics and publication record in top-tier journals including Nature Communications, Journal of the American Chemical Society, and Angewandte Chemie. His work bridges fundamental chemical research with practical applications in pharmaceutical development and sustainable manufacturing. As a dedicated mentor, Professor Rueping has supervised numerous graduate students and postdoctoral researchers who contribute to his diverse research portfolio. His laboratory operates state-of-the-art facilities for advanced organic synthesis, photochemistry, electrochemistry, and materials characterization. Current research directions include developing new methodologies for late-stage functionalization of pharmaceutical compounds, creating sustainable approaches to chemical manufacturing, and engineering novel catalytic materials for energy applications. His group's recent expansion into diagnostic technologies (nanobody-based lateral flow assays) demonstrates the versatility and interdisciplinary nature of his research program.
Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.
Dr. Frederic Bosche is a Reader in Construction Informatics at the University of Edinburgh's School of Engineering, leading the CyberBuild Lab. His research focuses on advancing digital construction technologies, including BIM, sensing systems, and digital twinning to enhance infrastructure management and workforce safety. Education: PhD in Civil Engineering (University of Waterloo), M.Sc. from University of Texas at Austin, and M.Eng. from Ecole Centrale de Lille. Research interests include automated construction processes, data-driven infrastructure lifecycle management, and integrating emerging technologies like AI and IoT into construction workflows. His CyberBuild Lab has pioneered projects in defect detection, roof monitoring, and smart construction inspection. Notable contributions include over 100 publications, 12 research projects (e.g., 'Digital Facility' and 'Monitoring Roofs of Traditional Buildings'), and awards such as the Charles M. Eastman Top PhD Paper Award. He actively engages in public outreach through science festivals and collaborates internationally with institutions like ETH Zurich and Heriot-Watt University.
