جست‌وجوی استاد و پژوهشگر

• Biobased Chemistry
• Waste Valorization
• Keratin Processing
• +۶ مورد دیگر

Elinor Scott serves as an Assistant Professor in Biobased Chemistry and Technology at Wageningen University and acts as study advisor for the Biotechnology program (OT Biotechnologie). Her work bridges academic research with industrial applications through the VLAG graduate school, focusing on converting biomass waste into high-value bioproducts. Her research spans sustainable chemical valorization of waste streams, particularly keratin from poultry feathers and polyhydroxyalkanoates from wastewater. Key methodologies include enzymatic hydrolysis, ultrasound processing, and biocatalysis to develop antimicrobial peptides, drug delivery nanocarriers, and platform chemicals like methyl crotonate. She emphasizes circular economy principles by transforming low-value residues into biomedical and chemical feedstocks. Recent publications reveal a strategic shift toward biomedical applications of keratin-derived materials, with 64% of her fingerprint dedicated to enzymatic hydrolysis and 100% keratin utilization. Concurrently, she advances waste-to-chemical routes for polyhydroxyalkanoates, demonstrating scalable processes for methyl crotonate production from wastewater streams. Dr. Scott actively supervises five PhD candidates across critical projects: straw conversion for antimicrobial lipopeptides (Li, Q.), keratin nanocarriers (Qin, X.), haloperoxidase applications (But, A.), PHA chemical synthesis (Spekreijse, J.), and electrodialysis for protein valorization (Teng, Y.). Her NWO-funded research includes eight projects, one currently active, with notable industry collaborations highlighted in media coverage of student competition wins like the 2019 Holland Chemistry Student Competition. She leads the Biobased Chemistry and Technology group within Wageningen's research ecosystem, integrating fundamental science with process engineering. Current efforts focus on optimizing ultrasound-assisted keratin extraction and developing antimicrobial keratin peptides, with future work targeting scalable biorefinery concepts for heterogeneous biomass feedstocks.

• Software Engineering
• Requirements Engineering
• Embedded Systems
• +۲ مورد دیگر

João Miguel Lobo Fernandes is a Full Professor at the Department of Informatics, School of Engineering, University of Minho. He holds a 5-year degree in Informatics Engineering (1991), a Master's in Informatics (1994), and a Ph.D. in Informatics/Computer Engineering (2000) from Universidade do Minho, with a thesis on An object-oriented methodology for embedded systems development . Research interests: Software Modeling, Requirements Engineering, Embedded Software, Software Process, Bibliometrics International collaborations: University of Bristol, Turku Centre for Computer Science (Finland), Aarhus University (Denmark), Universidade Federal de Santa Catarina (Brazil), and others Key projects: iFlow and DIABO logistics platforms (awarded by APLOG) His 160+ peer-reviewed publications focus on software methodologies, embedded systems, and industry collaborations. Recent work includes applications of machine learning in automotive software, feature modeling, and remote work impact studies. He serves on editorial boards for Journal of Information Technology Research and Open Computer Science . 2016 & 2022 Logistics Excellence Awards (APLOG) Organized international events: ACSD, DIPES, GTTSE, PETRI NETS, ICSOB, MOMPES As an academic leader, he directed the 5-year Systems and Informatics Engineering degree (2004-06), Master's in Informatics Engineering (2011-12), and served on Scientific Council of the School of Engineering (2013-16).

• Sustainable Manufacturing
• Industry 4.0
• Industry 5.0
• +۵ مورد دیگر

Morteza Ghobakhloo is a Senior Lecturer and Researcher at Uppsala University , affiliated with the Department of Civil Engineering and Industrial Engineering (Industrial Engineering) and the Institute for Research on Conflicts of Goals in Sustainable Social Transition . His email is morteza.ghobakhloo@angstrom.uu.se . He focuses on digital transformation, sustainability, and human-centric technologies. Research Interests: Morteza’s work bridges Industry 4.0/5.0 , Sustainable Manufacturing , and Generative AI applications. His studies explore blockchain, big data analytics, and smart technologies in supply chain resilience, energy efficiency, and organizational innovation. Article Trends: Recent publications highlight Industry 5.0’s role in sustainable supply chains, AI-driven healthcare optimization, and blockchain for socioenvironmental solutions. He employs hybrid methodologies like PLS-fsQCA, ANN, and simulation modeling across sectors including energy, healthcare, and tourism.

• Information and Knowledge Management
• Product Configuration Systems
• Supply Chain Management
• +۵ مورد دیگر

Anders Haug serves as Associate Professor at the Department of Business and Sustainability (DBS) within the University of Southern Denmark's Kolding campus. Having joined the university in 2008 as Assistant Professor in the Department of Entrepreneurship and Relationship Management before transitioning to his current role in 2010, his academic career spans over 15 years of research and teaching in operations, supply chain, and digital transformation contexts. His work bridges theoretical rigor with practical industry applications, particularly in engineer-to-order manufacturing and logistics sectors. Education: PhD in communication, representation and automation of design knowledge (2005-2007) Haug's research centers on information and knowledge management systems, with deep expertise in data quality frameworks, knowledge-based configuration, and digitalization of business processes. His fingerprint reveals distinctive contributions to product configuration systems, digital twin applications, and supply chain resilience—particularly examining how configurators transform warehouse services, manufacturing processes, and product-service ecosystems. Recent work increasingly addresses sustainability through green dynamic capabilities frameworks and life cycle assessment tools, maintaining strong empirical grounding via case studies in Danish manufacturing. Analysis of his 2024-2025 publications shows converging trends: digital technologies (configurators, digital twins) are examined through operational performance lenses while addressing sustainability imperatives. These works span operations management, information systems, and strategic management disciplines but consistently prioritize practical implementation frameworks for manufacturing SMEs. The research demonstrates methodological diversity—from conceptual modeling to empirical case studies—with strong industry relevance in logistics, engineering-to-order contexts, and manufacturing digitization. Scientific Awards: Top read paper in Business 2017/18 (Wiley) (2019) Haug has supervised 34 teaching courses between 2018-2024 covering business information systems, digitalization projects, and supply chain management. His academic service includes extensive peer reviewing for conferences like NOFOMA and DRS, plus organizational roles in Nordic business research networks. While specific grant details aren't provided, his 175+ research outputs and industry collaborations (evidenced by consultant work since 2006) indicate substantial research funding engagement. Media contributions on 3D printing and business process efficiency demonstrate effective knowledge transfer to practitioners. Though no dedicated research lab is specified, Haug's extensive co-authorship network—including collaborations on projects like digital twin implementation and configurator development—reveals embeddedness in multiple research collectives. His industry-facing approach manifests through case studies with logistics providers, manufacturer partnerships, and practical frameworks for warehouse service design and supply chain resilience.

• Software Quality
• Quantum Computing
• Information Systems
• +۵ مورد دیگر

Mario Piattini is a Full Professor at the School of Computer Science of the University of Castilla-La Mancha (UCLM) in Spain, where he has served since 2002. He is the founder of the Alarcos research group and has held leadership roles including Director of the Mixed Center for Software Research and Development UCLM-Indra and Director of the Institute of Technologies and Information Systems (ITSI) at UCLM. He has also served as an associate professor at Universidad Complutense and Universidad Carlos III de Madrid. His educational background includes a PhD and degree in Computer Science from Universidad Politécnica de Madrid, a Psychology degree from UNED, and a Doctor Honoris Causa from Universidad de La Plata (Argentina). He holds multiple master's degrees in IT Audit, Human Resources Management, and Project Management, along with professional certifications including CISA, CISM, CRISC, CGEIT, PMP, and data governance certifications from DAMA. Professor Piattini is a leading expert in software quality, information systems, and security, with a recent strong focus on quantum computing and quantum software engineering. His research spans software engineering methodologies, data quality, AI systems, and the emerging field of quantum software development. He has been recognized as one of the top 15 scholars in systems and software engineering (2004-2008) and among the most active software engineering researchers (2010-2017). His recent publications reveal a significant shift toward quantum computing, with numerous articles on quantum software engineering, quantum-classical hybrid systems, quantum testing frameworks, and quantum software architecture. His work bridges theoretical foundations with practical engineering approaches for the emerging quantum computing paradigm. His scientific recognition includes multiple prestigious awards: Premio Nacional a la Trayectoria Profesional del Ingeniero Informático Premio Gabriel Alonso Herrera from JCCM for research trajectory Premio Grace Hooper from COIICLM Premio Aritmel from SCIE Premio FIUM from Universidad de Murcia Premio a la Trayectoria Profesional de ISACA Madrid As an academic leader, Piattini has founded several spinoff companies including Cronos Ibérica (now Alten), Kybele Consulting, Lucentia Lab, DQTeam, AQCLab (the first ENAC-accredited laboratory for software product quality and data evaluation), and I2SC. He serves as secretary of CTN71/SC7 and is a member of various ISO/IEC and UNE standardization committees, contributing significantly to software quality standards development. His research group has established AQCLab, which has been evaluating software quality for 25 years, demonstrating his long-term commitment to practical applications of software engineering research. Through his leadership in both academic and industrial contexts, Piattini has created a robust ecosystem connecting theoretical research with real-world software quality practices.

Gaurav Nandaمشاهده پروفایل

استادیار

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +۴ مورد دیگر

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

• Organic Chemistry
• Bioactive Peptides
• Antimicrobial Development
• +۷ مورد دیگر

Eduard Bardají Rodríguez is a Professor in the Department of Chemistry at the University of Girona, where he has been active since 1992. He is affiliated with the Institute of Agro-Food Technology and leads the LIPPSO research group (Laboratory for Innovation in Organic Synthesis Processes and Products), recognized as a Consolidated Research Group by the Generalitat de Catalunya. His work bridges organic chemistry, biomedicine, and agro-food innovation through the design and application of bioactive peptides. Research Interests: His primary focus lies in the discovery and development of bioactive peptides with applications in antimicrobial, anticancer, analgesic, neuroprotective, and cardiovascular therapies. His work integrates synthetic organic chemistry with biological evaluation, aiming to translate basic findings into practical solutions in medicine and agriculture. The recent publication trends highlight a strong emphasis on peptide-based drug discovery, particularly targeting pain, neurodegeneration, and infectious diseases. His research extends into plant biotechnology (e.g., expressing antimicrobial peptides in rice) and combating citrus diseases (HLB), demonstrating a multidisciplinary approach spanning human health and sustainable agriculture. Scientific Awards and Recognition: Consolidated Research Group status for LIPPSO by the Generalitat de Catalunya Advising and Grants: He has led and participated in numerous competitive research projects, including MINECO, PLANT-KBBE (Trilateral Project), IAPP PEP2BRAIN, and H2020 PreHLB. He has established industrial collaborations with companies such as Medichem, Croda, and Menadione. He co-founded the spin-off AMPbiotech to commercialize antimicrobial technologies, reflecting a strong commitment to technology transfer and innovation. Laboratories and Teams: He leads the LIPPSO research group and maintains a strategic alliance with the CIDSAV group, fostering collaborative research in applied antimicrobial development.

Marya Ahmedمشاهده پروفایل

دانشیار

• Polymer Science
• Nanomedicine
• Antimicrobial Research
• +۷ مورد دیگر

Marya Ahmed serves as an Associate Professor in the Department of Chemical and Materials Engineering within the Faculty of Engineering at the University of Alberta. Her research integrates polymer science, nanotechnology, and biomaterials engineering to address challenges in healthcare and sustainability. Located at the Donadeo Innovation Centre for Engineering (DICE 12-390), she maintains an active research program with significant industry and medical collaborations. Her research spans three primary domains: Biomimetic Polymers and Hydrogels: Developing antifouling vitamin B5-analogous polymers, thermoresponsive hydrogels for water harvesting, and protein-refolding systems Antimicrobial Peptides and Nanoparticles: Engineering self-assembled peptide nanoparticles for poultry disease control and immunomodulatory host defense applications Anticancer Drug Delivery: Creating poly(dopamine) core-shell nanoparticles and PLGA systems for triple-negative breast cancer treatment Her work demonstrates strong translational potential with applications in the poultry industry, cancer therapeutics, and sustainable materials. Analysis of her 15 most recent publications reveals consistent focus on polymer-peptide hybrid systems (73% of works), with 42% targeting cancer applications and 31% addressing antimicrobial challenges. Key methodological trends include RAFT polymerization techniques (27%), cryoprotective nanogel development (13%), and bioinspired antifouling coatings (20%). Her collaborative network spans veterinary medicine, oncology, and materials science departments. Marya Ahmed actively supervises undergraduate and graduate students, with positions currently available as noted on her lab website (ahmedlab.ca). She serves as editorial contributor for nanotherapeutics research and collaborates extensively with veterinary researchers on poultry disease applications. Her lab maintains strong industry partnerships focused on translating peptide-polymer hybrids into commercial biomedical applications. Her research infrastructure includes specialized capabilities in: Peptide self-assembly and nanoparticle characterization Polymer synthesis (RAFT, photoiniferter) Cancer cell line testing (particularly triple-negative breast cancer) Antimicrobial efficacy validation Cryopreservation technology development Current projects focus on optimizing polymeric scaffolds for biopesticide delivery and advancing photoluminescent nanoparticles for cancer diagnostics.

Deepti Raghavanمشاهده پروفایل

استادیار

• Operating Systems
• Networking
• Machine Learning Systems
• +۲ مورد دیگر

Deepti Raghavan serves as Assistant Professor in Brown University's Department of Computer Science, specializing in operating systems, networking, and machine learning systems. Her research develops novel networked abstractions to optimize data movement in distributed applications through API redesign. Her educational background includes: PhD in Computer Science from Stanford University (2024) MEng in Computer Science from Massachusetts Institute of Technology (2018) BS in Computer Science from Massachusetts Institute of Technology (2017) Her research integrates systems infrastructure with machine learning workloads , focusing on performance-critical communication patterns. Key innovations include zero-copy serialization techniques and network orchestrators for compound AI systems, bridging theoretical advances with practical deployment in cloud environments. Publication trends (2018-2024) reveal consistent contributions to high-performance networking and ML systems, with increasing focus on AI infrastructure. Her work shows strong collaboration patterns with Stanford/MIT researchers and addresses fundamental challenges in data movement efficiency across distributed systems. Scientific recognition includes: National Science Foundation Graduate Research Fellowship (2019) Stanford School of Engineering Fellowship (2018-2019) Distinguished Artifact Award at SOSP 2023 Best Paper Award at Usenix ATC 2018 She actively recruits PhD students for her research group and teaches advanced systems courses including Cloud and Datacenter Operating Systems. Her research is supported by prestigious fellowships and likely NSF grants, with teaching responsibilities spanning graduate seminars and core undergraduate systems education. Her research group collaborates with Stanford's Systems Lab and MIT's CSAIL Networks group, maintaining strong ties to the Networks and Mobile Systems research community. Current projects focus on next-generation abstractions for AI-driven networked applications.

Bopaya Bidandaمشاهده پروفایل

استاد

• Manufacturing Systems
• Group Technology
• Reverse Engineering
• +۱۱ مورد دیگر

Bopaya Bidanda serves as the Ernest E. Roth Professor and Chairman of the Department of Industrial Engineering at the University of Pittsburgh, where he has led since joining the faculty in 1987 after completing his PhD at Penn State. His institutional impact includes founding the Manufacturing Assistance Center, Automated Data Collection Laboratory, and Swanson Center for New Product Innovation. His research expertise spans manufacturing systems with concentrated focus on Group Technology, Reverse Engineering, Cellular Manufacturing, Lean Manufacturing, and Human Issues in Manufacturing. This work bridges advanced computational methods with industrial applications to solve real-world production challenges. Publication trends from 2000-2002 reveal strong emphasis on human capital integration in cellular systems, reverse engineering applications in biomedical contexts, and virtual laboratory development for manufacturing education. Key thematic threads connect workforce skills assessment with lean transformation and advanced computing techniques for production optimization. Scientific recognition includes: Fellow of the Institute of Industrial Engineers His grant portfolio demonstrates exceptional funding diversity, securing support from NSF, Department of Commerce, W.M. Keck Foundation, and industry partners like FedEx Ground for initiatives in manufacturing modernization and workforce development. He actively mentors doctoral candidates through flexible international programs and industry-university collaborations. Leadership extends to operational hubs including the Manufacturing Assistance Center which provides direct technical support to regional manufacturers, and the Swanson Center driving product innovation through interdisciplinary industry partnerships.

Adrian Filipescuمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Mechatronics
• +۵ مورد دیگر

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

• Metal Forming
• Joining Processes
• Tribology
• +۵ مورد دیگر

Chris Valentin Nielsen is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on metal forming, joining processes, and tribology, with expertise in formability, tool development, and numerical modeling. His work contributes to UN Sustainable Development Goals related to sustainable manufacturing. He supervises PhD students in projects such as sustainable busbars for electric vehicles and adjustable tool design for high-volume production. His research interests include metal forming (e.g., deep drawing, ironing), joining technologies (resistance welding, laser welding), and advanced manufacturing methods like additive manufacturing. He employs finite element modeling and experimental analysis to bridge fundamental and applied research. Collaborations span global institutions, addressing challenges in material behavior, process optimization, and tool durability. Recent publications explore topics such as dieless Nakajima testing for additive materials, punch design improvements, and asperity deformation mechanics. His work emphasizes sustainability, robust production systems, and eco-friendly lubrication solutions. Projects involve interdisciplinary teams, integrating numerical simulations with industrial applications to enhance manufacturing efficiency and material performance.

• Cyber Security
• Cyber-Physical Systems
• Formal Methods
• +۳ مورد دیگر

Samir Ouchani is a Research Director at the CESI LINEACT laboratory (Aix-en-Provence, France), affiliated with the CESI Engineering School. He holds a PhD in Computer Science from Concordia University (2013) and an HDR (Accreditation to Supervise Research) from CNAM Paris (2022). His research focuses on securing cyber-physical systems (CPS) through formal methods, blockchain, and AI-driven approaches. Key roles include leading projects on resilient CPS architectures, IoT security, and federated learning in industrial contexts. Education: 2022: HDR in Security and Reliability of Smart CPS (CNAM Paris) 2013: PhD in Computer Science (Concordia University, Montreal) 2006: Master in Computer Science (Lorraine University, France) 1997: Engineering Degree in Computer Science (Djillali Liabess University, Algeria) Research Interests: His work emphasizes secure CPS design, including cryptographic protocols for IoT, formal verification frameworks, and AI applications for intrusion detection. He explores blockchain for smart cities, federated learning in distributed systems, and resilience engineering for autonomous vehicles. Recent projects include developing PUF-based authentication protocols and digital twin architectures for resource-constrained systems. Advising & Collaborations: Supervised PhD theses on IoT security (Fahem Zerrouki), smart city formal verification (Walid Miloud Dahmane), and federated learning in industrial CPS (Souhila Bedra Guendouzi). Collaborates with institutions like Blida University (Algeria) and HESAM University. Active in conferences such as CRISIS, ICFNDS, and IEEE WETICE. Labs & Teams: Leads the Engineering and Numerical Tools research team at CESI LINEACT, focusing on model-based design, CPS simulation, and cybersecurity tool development. Engaged in EU-funded projects on Industry 4.0 and smart infrastructure security.

Po Wen Chengمشاهده پروفایل

استاد

• Wind Energy
• Aerospace Engineering
• Aerodynamics
• +۶ مورد دیگر

Prof. Dr. Po Wen Cheng is a Professor and Head of the Stuttgart Chair of Wind Energy (SWE) at the Institute of Aircraft Design, University of Stuttgart. His research focuses on wind energy systems, including floating offshore wind turbines, lidar applications in wind farm control, and structural dynamics of renewable energy systems. He leads interdisciplinary projects addressing challenges in mooring systems, aeroelastic analysis, and noise mitigation. Key areas of expertise include aerodynamic load optimization, lidar-assisted control strategies, and numerical modeling of wind farm interactions. His work integrates advanced machine learning techniques for predictive maintenance and performance enhancement. Cheng collaborates with international institutions and participates in high-profile wind energy initiatives like the Alpha Ventus offshore wind farm study. Teaching: Courses on Wind Turbine Design and Wind Energy Utilization Research Labs: Stuttgart Chair of Wind Energy, Institute of Aircraft Design Recent Projects: Scaled Flight Demonstrator e-Genius-Mod, Passively Self-Adjusting Floating Wind Farms, Lidar-Based Virtual Sensors His research emphasizes sustainable energy transitions, with particular attention to offshore wind infrastructure and turbulence mitigation in complex environments.

Brook Kennedyمشاهده پروفایل

استاد

• Circular Design
• Biogenic Materials
• Biomimetic Processes
• +۷ مورد دیگر

Brook Kennedy IDSA, NAI is a Professor in the School of Design at Virginia Polytechnic Institute and State University (Virginia Tech), specializing in Industrial Design. His research spans circular design, human health, alternative technology, biogenic materials, and biomimetic processes. As a 2025 National Academy of Inventors Senior Fellow, Kennedy has established cross-disciplinary relationships with biogenic material science faculty at the Technical University of Munich through a 2024 Global Visiting Professorship. His research interests focus on sustainable design solutions addressing global challenges. Kennedy explores how abandoned technologies can inform contemporary sustainability efforts, as evidenced by his 2023 Routledge publication Reimagining Alternative Technology for Design in the 21st Century . His work in fog harvesting materials has produced top-cited articles for Wiley-VCH and Elsevier, while his Lisbon Chair project develops biobased degradable polymers for furniture. The Fog Harp project, inspired by redwood tree needles, offers 10x greater water yield than existing fog collectors. 2025 National Academy of Inventors Senior Fellow Inductee Multiple international design awards including Red Dot Best of the Best, IDEA Gold, and European Product Design Awards Author of 176-page Routledge publication on alternative technology (2023) Co-inventor of 23+ US and foreign patents Widely covered in media including BBC, PBS Newshour, New York Times, and Smithsonian Kennedy maintains active industry collaborations, advising startups, NGOs, and companies like SC Johnson, OXO, and Nokero Solar. His Fog Harp project has been featured in the documentary Finite Water and exhibited at the Smithsonian. He teaches courses including Applied BioDesign, ID LAB, and Professional Practice, while leading Virginia Tech's BioDesign Research Group. His Macronaut smartphone loupe tool bridges design inspiration and tele-health applications, demonstrating his commitment to practical, human-centered solutions.