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F. Frank ChenView profile

Professor

• Advanced Manufacturing
• Lean Systems
• Artificial Intelligence
• +3 more

F. Frank Chen is a Professor in the Department of Mechanical Engineering at the University of Texas at San Antonio (UTSA) and holds the Lutcher Brown Distinguished Chair in Advanced Manufacturing. He is a Fellow of both the Society of Manufacturing Engineers (SME) and the Institute of Industrial and Systems Engineers (IISE). Ph.D. & MS, University of Missouri-Columbia BS, Tunghai University (Taiwan) Dr. Chen specializes in flexible manufacturing, lean systems, and AI integration. His research spans predictive maintenance, computer vision for defect detection, cybersecurity in industrial IoT, and sustainable production. He actively combines AI (deep learning, NLP) with lean methodologies to optimize manufacturing and healthcare workflows. Recent publications focus on AI-enabled sustainability (waste reduction, parking efficiency), advanced diagnostics (cancer detection via CNNs, transformers), and cybersecurity enhancements. His work bridges theoretical innovation with practical applications in smart manufacturing and lean healthcare. Fellow, IISE (2019) Operational Excellence Division Teaching Award, IISE (2015) SME College of Fellows (2011) Dr. Chen leads the Flexible Manufacturing and Lean Systems Lab, contributing to AI-aided lean manufacturing, intrusion detection systems, and voice-of-customer extraction. His interdisciplinary approach impacts both industrial processes and healthcare diagnostics, emphasizing efficiency, sustainability, and technological integration.

Susanne FrennertView profile

Associate Professor

• Human-Computer Interaction
• Ergonomics
• Rehabilitation Engineering
• +7 more

Susanne Frennert is an Associate Professor at Lund University , affiliated with the Department of Design Sciences under the Faculty of Engineering. She coordinates the research group in ergonomics, rehabilitation engineering, and universal design, and leads projects like HARIA and MAGICIAN focused on human-robot interaction and digital eldercare. Frennert is a member of the Engineering Health profile area at LTH and contributes to digital justice research. Her research emphasizes human-centered design and co-design methodologies to develop welfare technology , gerontechnologies , and social robots tailored to end-user needs. She investigates the societal impacts of digitalization in healthcare and eldercare, particularly in reskilling , upskilling , and digital justice . Recent publications highlight assistive robotics , domestication of welfare technologies , and heterogeneous platform usage in healthcare settings. Projects include EU-funded initiatives (HARIA, MAGICIAN) and national collaborations (DigiJustice). She serves on the boards of the Swedish Collaboration of Digital Care Research and Centre for Ageing and Supportive Environments .

Saurabh AminView profile

Professor

• Infrastructure Systems
• Network Resilience
• Control Theory
• +7 more

Saurabh Amin is the Edmund K. Turner Professor in Civil Engineering at the Massachusetts Institute of Technology (MIT) . He serves as the Director of the Henry L. Pierce Laboratory for Infrastructure Science and Engineering and the Undergraduate Officer in the Department of Civil and Environmental Engineering (CEE). He is affiliated with the Laboratory for Information and Decision Systems (LIDS) , Operations Research Center (ORC) , Institute for Data, Systems and Society (IDSS) , and Center for Computational Science and Engineering (CCSE) . Education: B.Tech. in Civil Engineering, Indian Institute of Technology (IIT) Roorkee, 2002 M.S. in Transportation Engineering, University of Texas at Austin, 2004 Ph.D. in Systems Engineering, University of California (UC) Berkeley, 2011 Research Interests focus on combining control theory , game theory , and optimization to address challenges in resilient infrastructure systems . His work emphasizes: Resilient Network Control for highway transportation, electric power distribution, and urban water networks Information Systems and Incentive Design to improve public goods under strategic entities Optimal Resource Allocation for restoring systems after natural disasters or attacks He explores cyber-physical interactions in infrastructure, aiming to rigorously model vulnerabilities and develop implementable solutions for operators. Scientific Awards include: Common Ground Excellence in Teaching Award (2025) HSCC Test-of-Time Award (2024) MIT CEE Distinguished Service and Leadership Award (2023) Samuel M. Seegal Prize (2022) NSF CAREER Award (2015) His research has been supported by grants from the National Science Foundation , Google , DoD-Science of Security Program , AFOSR , Siebel Energy Institute , and C3.ai Digital Transformation Institute .

• Business Law
• International Trade Law
• Environmental Law
• +6 more

Ridoan Karim is a Senior Lecturer at the Department of Business Law & Taxation, School of Business, Monash University Malaysia. His work bridges Business Law, International Trade Law, Environmental Law, Energy Law, and Technology Policy , with a focus on energy justice, AI ethics, blockchain applications, and legal frameworks for emerging technologies . Primary Research Areas: Energy Justice, AI Ethics, Blockchain Legal Issues, Privacy Law, and Sustainable Development Geographic Focus: Malaysia, Bangladesh, and broader Southeast Asian contexts Recent Research Trends His publications from 2018-2025 show consistent exploration of: Legal implications of AI integration in energy, healthcare, and manufacturing Blockchain technology for energy systems, health coverage, and financial transparency Energy justice frameworks across Southeast Asia and emerging economies Privacy law development in smart cities and digital environments Comparative legal studies between common law and Islamic/Shari'ah frameworks Scientific Awards No specific awards mentioned in available texts.

Tobias MahlerView profile

Professor

• Artificial Intelligence Law
• Robotics Regulation
• Cybersecurity Law
• +5 more

Tobias Mahler is a Professor of Law at the University of Oslo's Department of Private Law and serves as deputy director of the Center for Legal Informatics. He leads the legal innovation lab LILO and has been a visiting scholar at prestigious institutions including Stanford Law School and the Max Planck Institute for Foreign and International Criminal Law in Freiburg, Germany. Originally trained as a German lawyer, Mahler has practical experience having previously practiced as a paralegal in Norway. Professor Mahler's research spans the intersection of law and emerging technologies, with particular expertise in artificial intelligence regulation, robotics law, cybersecurity, and digital governance. His work focuses on developing legal frameworks that balance innovation with risk management and proportionality. He has published extensively on the EU AI Act, examining its risk-based approach and implementation challenges across various technological domains. His research also addresses the legal implications of healthcare robotics, cloud computing services, and domain name systems in the evolving digital landscape. Analysis of Mahler's recent publications reveals a strong focus on the regulatory challenges posed by artificial intelligence, particularly the EU's regulatory framework. His work examines both high-risk and non-high-risk AI systems, exploring compliance procedures, national implementation strategies, and the relationship between risk management and legal proportionality. He has made significant contributions to understanding how legal frameworks should address specific applications like medical AI, care robotics, and smart robotics within the EU context. His research consistently bridges technical and legal perspectives, emphasizing the need for adaptable regulatory approaches that can keep pace with technological innovation. Professor Mahler holds several important positions that demonstrate his influence in the field. He serves as a member of the Research Council's advisory expert group for the KI initiative (2023), is a board member of the Norwegian Association for Law and EDB, and participates in Standard Norway's committee on Artificial Intelligence (SN/K 586). He has led significant studies for both the Research Council of Norway on research data sharing and for the EU Commission related to the Digital Services Act. Previously, he served as program manager for the LLM in Information and Communication Technology Law. At the University of Oslo, Mahler is actively involved in research groups focused on Law and Technology (JOT) and Market, Innovation and Competition (MIK). He leads the legal innovation lab LILO and contributes to projects including Societal Security and Digital Identities (SODI) and Vulnerability in a Robot Society (VIROS), which examine the legal and societal implications of emerging technologies in security contexts and robotics.

• Additive Manufacturing
• Sustainable Manufacturing
• Machining of High-Performance Materials
• +3 more

Professor Stephen T Newman is a faculty member at the University of Bath , serving in the Department of Mechanical Engineering as the Professor of Innovative Manufacturing Technology . His research focuses on advancing manufacturing technologies through additive/subtractive hybrid systems, sustainable machining practices, and smart manufacturing frameworks. University: University of Bath Department: Mechanical Engineering Email: S.T.Newman@bath.ac.uk Research interests include: Process optimization in additive manufacturing (LDED, WA-DED) Cryogenic and hybrid cooling/lubrication techniques Industry 4.0 implementation via cloud manufacturing Machine learning applications for tool condition monitoring Sustainability in material delivery and recycling Recent publications highlight trends in smart manufacturing , energy-efficient machining , and multi-sensor process monitoring . Key subfields include laser additive systems, cryogenic lubrication mechanics, and decentralized production platforms. Current affiliations: University of Bath 4 East 2.9c, Department of Mechanical Engineering

• Cyber-Physical Systems
• Real-Time Systems
• Distributed Systems
• +4 more

Geir Mathisen serves as a Professor within the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is an active member of the Group for Industrial Computer and Instrumentation Systems, focusing on real-time systems integration and cyber-physical applications across industrial and energy domains. His educational background includes a Civil Engineering degree and a Doctorate (PhD), both earned from NTNU's Department of Technical Cybernetics, establishing foundational expertise in control systems and technical cybernetics. Professor Mathisen's research spans cyber-physical systems, deterministic networking, and distributed real-time systems with significant applications in smart grids and industrial automation. His work pioneers magnetic field energy harvesting for railway systems, edge-based fault detection for photovoltaic panels, and multi-robot coordination in sewing automation. Current investigations focus on power system state estimation, optimal power flow in smart grids, and deterministic communication channels for latency-sensitive applications. Analysis of his 2020-2024 publications reveals a strategic convergence of real-time computing with energy systems, particularly in railway energy harvesting and photovoltaic monitoring. His research consistently bridges theoretical advances in networking protocols with practical industrial implementations, emphasizing determinism and composability in distributed cyber-physical environments. Scientific Awards: No specific awards or fellowships were documented in the provided materials. Professor Mathisen actively supervises doctoral and master's students, including Johannes Schrimpf (2013 PhD thesis on industrial robot control), and offers project assignments as noted for fall 2021. His research is conducted through Norwegian collaborative projects on flexible distribution grids and smart grid services, though specific grant mechanisms remain unspecified in the source material. He contributes significantly to the Group for Industrial Computer and Instrumentation Systems at NTNU, which develops advanced solutions for industrial control, measurement systems, and cyber-physical integration, particularly in energy and manufacturing contexts.

• Decision Analysis
• Multiple Criteria Decision Making
• Product Development
• +4 more

Eyüp Ertuğrul Karsak is a Professor in the Industrial Engineering department at Galatasaray University , Turkey. He holds the UNESCO Chair in Computer-Integrated Manufacturing and has served in numerous administrative roles including Dean (2008-2014), Vice Rector (2014-2015), and Rector (2015-2023) at the same institution. His academic journey began with B.S. and Ph.D. degrees from Istanbul Technical University , followed by an M.S. from the University of Southern California . As a Chartered Financial Analyst (CFA) , he uniquely bridges industrial engineering with financial decision-making frameworks. Doctorate: Industrial Engineering, Istanbul Technical University (1994) M.S.: Industrial and Systems Engineering, University of Southern California (1990) B.S.: Industrial Engineering, Istanbul Technical University (1989) His research focuses on Multi-Criteria Decision Making (MCDM) , Data Envelopment Analysis (DEA) , and Fuzzy Logic Applications to complex systems. This spans supplier selection, healthcare performance evaluation, educational metrics, and sustainable technology assessment. His work has been published in leading journals such as Expert Systems with Applications , Computers & Industrial Engineering , and Resources, Conservation and Recycling . Karsak’s scientific impact is evidenced by his inclusion in the world’s top scientists list (PLOS Biology 2019, Elsevier 2021). He has led 14 research projects and advised 21 graduate students , particularly in fuzzy MCDM applications. His methodological contributions include novel frameworks combining QFD , DEA , and nonlinear programming for resource allocation and performance measurement. UNESCO Chairholder in Computer-Integrated Manufacturing Ranked among world’s top scientists (PLOS Biology 2019, 2020; Elsevier 2021) His managerial experience includes leadership roles across academic governance and departmental operations. Publications demonstrate consistent application of quantitative methods to real-world challenges in manufacturing, healthcare, and education sectors. For detailed project descriptions and grant information, please refer to the full description section.

• Human-robot interaction
• Motion planning
• Data analysis for user-centered product development
• +1 more

Dr.-Ing. Jakob Reinhardt is a postdoctoral researcher at the Chair of Ergonomics (Technical University of Munich) since May 2025, leading the Robotics for Life and Healthcare research group. His interdisciplinary work bridges robotics and medical technology. Human-robot interaction Motion planning Data analysis for user-centered product development Robotics in medical applications His research focuses on developing legible robot movements through data-driven methods, analyzing emergency service device usage, and enhancing user trust in autonomous systems. Publications span robotics, psychology, and ergonomics , addressing topics like motion identity and cooperative automation in transportation. He mentors students in human factors engineering and engages in dynamic mock-up lab projects.

John WilcoxView profile

Associate Clinical Professor

• Geriatrics
• Community-Based Occupational Therapy
• Assistive Technology
• +4 more

John Wilcox serves as a Clinical Associate Professor and Doctoral Capstone Coordinator in the Department of Occupational Therapy at the University of New Hampshire's College of Health and Human Services. His clinical expertise spans community-based practice and geriatrics across diverse settings including school-based pediatrics, acute care, outpatient, home health, and skilled nursing facilities, with emphasis on evidence-based occupational interventions. His educational credentials include: Doctorate in Occupational Therapy (OTD) from Rocky Mountain University of Health Professions Master of Science in Occupational Therapy from San Jose State University Bachelor of Science in Occupational Therapy from Syracuse University Dr. Wilcox's research program focuses on enhancing independence for aging populations through innovative technological solutions. Key initiatives address assistive technology access for the elderly, community programming for brain injury survivors, aging-in-place strategies, and virtual reality applications. His work consistently bridges clinical practice with community engagement, particularly through partnerships with senior centers and living facilities across New Hampshire's Seacoast Region. Publication trends reveal a concentrated focus on technology-gerontology intersections since 2018, with increasing emphasis on rural-urban disparities in digital access, telepresence robotics, and smart home automation for vulnerable elderly populations. His collaborative studies frequently examine health equity issues in subsidized senior housing. Professional recognition includes: College of Health and Human Services Teaching Excellence Award (2020) He has secured grants for research on assistive technology access, brain injury community programming, and virtual reality applications, often collaborating with colleagues across the College of Health and Human Services. Actively maintaining clinical practice in acute care and outpatient settings, Dr. Wilcox contributes to statewide initiatives as a member of both the New Hampshire Stroke Collaborative and NH Falls Risk Reduction Task Force. His teaching portfolio includes courses like OT 444 (Living & Doing with Technology) and OT 964 (OT for Older Adults), with extensive mentorship of occupational therapy students through community-based experiential learning with brain injury survivors, adults with developmental disabilities, and older adults.

Michael HarrView profile

Researcher

• Artificial Intelligence
• Recruiting
• Digitalization and digital Transformation of Human Resource Management
• +4 more

Michael Harr is a doctoral researcher and research assistant at the University of Duisburg-Essen, affiliated with the Faculty of Computer Science and the Chair of Business Informatics and Integrated Information Systems. His work focuses on artificial intelligence, digital transformation of HR management, enterprise systems, new work arrangements, and digital communication. He has published extensively on these topics in leading journals and conferences. Education: M.Sc. in Business Information Systems (2020-2023), University of Duisburg-Essen B.Sc. in Business Information Systems (2016-2020), University of Duisburg-Essen His research explores the intersection of AI and human-centric systems, including studies on retail service robots, intelligent HRIS, generative AI in MOOCs, and user annoyances in voice assistants. Recent publications analyze digital communication trends and digitalization challenges in the construction sector. Publications: Harr has contributed to key areas such as retail automation, HRIS optimization, and AI-driven e-learning, with a focus on practical applications and theoretical frameworks. Supervised Theses: Exploring ChatGPT for MOOCs AI in Knowledge Management Technostress and Quiet Quitting Taxonomy of AI Recruitment Tools Talent Recruitment on Social Networks Labs and Teams: Harr is involved in the Retail Artificial Intelligence Lab (retAIL) and SAP Innovation Lab, contributing to projects on digital transformation and enterprise systems.

• Supply Chain Management
• Logistics
• Industrial Engineering
• +8 more

dr hab. inż. Piotr Cyplik is a senior researcher at the Institute of Logistics , Faculty of Engineering Management, Poznań University of Technology. He has been actively involved in research related to supply chain management, logistics optimization, and Industry 4.0 applications since at least 2003, with a focus on sustainable development and digital transformation. Fields of Interest : Supply Chain Management, Logistics, Industrial Engineering, Sustainable Development, Operations Research, Simulation Modeling, Fuzzy Systems Research Trends : His recent work explores eco-driving technologies, circular supply chains, warehouse automation, blockchain applications in logistics, and Industry 4.0 transformations. Supervision : He has supervised multiple doctoral dissertations, including studies on organizational resilience, operational excellence, and business decision-making in logistics. Publications : Author of over 50 scientific articles, with key contributions to sustainability in transportation, logistics process modeling, and supply chain digitalization. His 2024 work on sensor-based eco-driving systems and circular supply chain stimulators demonstrates ongoing leadership in these domains.

Peter Redditt SummerlinView profile

Associate Professor

• Landscape Architecture
• Digital Technology in Design
• Unmanned Aerial Vehicles (UAVs)
• +3 more

Peter Redditt Summerlin serves as Associate Professor and Graduate Coordinator in the Department of Landscape Architecture within Mississippi State University's College of Agriculture and Life Sciences, driving innovation in digital landscape architecture and community-focused design research. His academic foundation includes a Bachelor of Landscape Architecture (BLA) from Mississippi State University and a Master of Landscape Architecture (MLA) from Louisiana State University/A&M. Professor Summerlin's research pioneers the integration of emerging technologies like UAVs, VR, and 3D concrete printing into design workflows, supported by national surveys conducted with CELA and ASLA. Concurrently, his CDC-funded work critically examines rural park systems in the Southern U.S., analyzing health and accessibility disparities compared to urban counterparts. His scholarship bridges technical innovation with social equity, emphasizing real-world applications in underserved communities. Recent publications reveal dual research trajectories: digital transformation in landscape architecture education (software integration, VR pedagogy) and community health through design (food security, tiger habitat preservation, rural park equity). This synergy positions technology as a tool for both professional advancement and social justice. His exceptional contributions have garnered extensive recognition including five Faculty Member of the Year awards, multiple MSASLA and ASLA design honors, community-engaged research awards from MSU, and teaching excellence accolades. Notable distinctions include: Faculty Member of the Year (5 instances) MSASLA Award of Honor: Analysis and Planning & General Design (4 total) ASLA Award of Honor: Communications & Excellence: Student Collaboration Keep America Beautiful Innovation Award & ACSA Collaborative Practice Award MSU Community-Engaged Research Awards ("AIM for CHangE", "LivingRoom") College of Agriculture Teaching Excellence Awards (Teacher of the Year, Lower Division) As Graduate Coordinator and faculty advisor, Summerlin has mentored award-winning student projects across Mississippi and Tennessee, including "Belzoni Community Garden", "Sunflower Park", and "Harrison Creek Restoration". His CDC-funded rural park research exemplifies grant-supported community impact, while design/build initiatives like "Return to Nature" demonstrate experiential learning excellence. Collaborations with ASLA, CELA, and community organizations underscore his commitment to translating academic work into tangible public benefit. Though specific lab facilities aren't detailed, his research leverages UAVs, VR systems, and field-based community partnerships. Current initiatives focus on digital fabrication (3D concrete printing) and equitable park access, with future work likely expanding technology applications in rural community resilience and landscape pedagogy.

Alessandro RussoView profile

Researcher

• Semantic Technologies
• Assistive Robotics
• Ontology Engineering
• +3 more

Alessandro Russo is a researcher at the Institute of Cognitive Science and Technologies (ISTC) of the National Research Council (CNR) in Italy, where he contributes to the Semantic Technology Laboratory (STLab). Since 2015, he has been engaged in EU-funded projects like MARIO (Managing active and healthy aging with caring service robots), SMART VORTEX, and WORKPAD, focusing on knowledge-driven cognitive robot architectures, ontology engineering, and process-aware systems. He earned a PhD in Engineering in Computer Science from Sapienza Università di Roma (2010–2015), where he explored data-centric methodologies for Business Process Management. His research spans semantic technologies, assistive robotics, and healthcare informatics, with a strong emphasis on ontology-based knowledge management for geriatric assessment and reminiscence therapy. Alessandro has authored influential works in these domains, including foundational articles on social robot architectures and ontology design patterns for cognitive agents. His work often intersects with applications in emergency management, clinical workflows, and financial systems. Recent projects highlight his expertise in neurosymbolic AI, multimodal data integration, and software quality modeling. While no formal awards are listed, his involvement in high-impact EU initiatives underscores his role in advancing semantic and robotic technologies for societal benefit. He collaborates with interdisciplinary teams and contributes to tools like the Text2AMR2FRED pipeline for knowledge graph generation.

Kalle ElfvengrenView profile

Researcher

• Decision Sciences
• Technology and Innovation Management
• Digital Twins
• +5 more

Kalle Elfvengren is a researcher at the Lappeenranta-Lahti University of Technology (LUT) within the School of Engineering Sciences , focusing on Decision Sciences and Technology and Innovation Management . His work bridges computational methods with practical problem-solving across industries. Research Trends : Elfvengren's publications highlight expertise in digital twins, RFID technologies, and AI applications for service needs assessment. He explores how these innovations transform manufacturing, healthcare, and logistics while addressing sustainability and pandemic-related challenges.