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Dan LuoView profile

Senior Lecturer

• Digital Design
• Robotic Construction
• Advanced Fabrication Technologies
• +3 more

Dr. Dan Luo is a Senior Lecturer in Architectural Design at the University of Queensland's School of Architecture, Design and Planning. With a PhD from Tsinghua University (2019), a Master of Architecture from Columbia University (2014), and an MSc in Computer and Information Technology from the University of Pennsylvania (2023), Dr. Luo specializes in digital design and robotic construction, integrating advanced fabrication technologies with design workflows. His research focuses on automated construction systems, sustainable materials, and urban data analysis. Dr. Luo leads projects within the ARC Advance Timber Hub, Blue Economy CRC, and Sustainable Built Environment National Research Centre, collaborating with public agencies and international partners. His work has been exhibited globally, including at the Milan Triennial and Architecture Center New York. Previously, he served as Director of International Collaboration at the China Building Centre, curating design competitions and educational programs. Key research areas include AI-driven material computation, robotic fabrication for mass customization, and data analytics for urban planning. His publications span computational design, robotic systems, and urban sustainability. Current projects explore circular shell plates, carbon fiber weaving installations, and low-cost sustainable construction methods. Education: PhD in Architecture (Tsinghua), MArch (Columbia), MSc Computer Science (UPenn) Research Hubs: ARC Advance Timber Hub, Blue Economy CRC, Sustainable Built Environment CRC Exhibitions: Milan Triennial, NGV Melbourne Design Week, Brisbane Botanical Gardens Grants: Multiple collaborative projects with academic and industry partners

• Digital Marketing
• Generative AI in Education
• Social Listening
• +7 more

Associate Professor Michael Mehmet is a leading academic in marketing at the University of Wollongong’s School of Business. Specializing in integrating emerging technologies like Generative AI into marketing education, he has pioneered courses such as the first university-level subject on Generative AI for marketing, enhancing UOW’s reputation as an innovative institution. His research focuses on digital marketing, multimodal frameworks for evaluating communications, and applying social listening techniques to policy development in areas like marine management and health. Collaborations with industry partners such as Google and OpenAI bridge theory and practice in his teaching. Key research interests include AI-driven marketing strategies, social marketing to influence public policy, and leveraging digital tools for marginalized communities. He has contributed to impactful projects such as Equally Well and Shaping shark management in NSW , using data-driven approaches to address societal challenges. Michael also holds editorial roles at the Australasian Marketing Journal and International Journal of Market Research . Funding highlights include a $25,600 project on GenAI in banking services (2023–2024). His teaching philosophy emphasizes experiential learning, preparing students for AI-driven careers through real-world challenges and ethical considerations. He is an award-nominated educator recognized for innovation in marketing pedagogy.

Mark BatheView profile

Professor

• Nucleic Acid Nanotechnology
• Computational Modeling
• Nanoscale Engineering
• +4 more

Mark Bathe is a Professor of Biological Engineering at the Massachusetts Institute of Technology (MIT), where he leads the Bathe BioNano Lab within the Department of Biological Engineering in the School of Engineering. He is also a member of the Harvard Medical School (HMS) Initiative for RNA Medicine and an associate member of the Broad Institute of MIT & Harvard, reflecting his interdisciplinary impact across engineering, medicine, and genomics. Professor Bathe earned his Bachelor’s, Master’s, and Doctoral degrees from MIT across Mechanical, Chemical, and Biological Engineering departments, followed by postdoctoral research at the University of Munich. He returned to MIT in 2009 to establish his research program focused on nucleic acid nanotechnology. His research centers on nucleic acid nanotechnology to engineer programmable DNA and RNA materials at the nanometer-scale (10,000x smaller than a human hair). Key interests include biological imaging , biomechanics , biomolecular engineering , biophysics , and computational modeling for applications in therapeutic delivery, vaccines, molecular data storage, and quantum computing. His lab uniquely combines principles of structural DNA nanotechnology with functional biomolecular design to create custom nanoscale architectures with precise control over 2D/3D structure and chemical composition. Analysis of his 15 most recent publications (2024-2025) reveals three dominant trends: (1) AI-driven characterization of DNA nanostructures using convolutional neural networks, (2) development of DNA origami platforms for vaccine design and immune stimulation, and (3) engineering nucleic acid systems for molecular data storage and quantum sensing. These works consistently bridge computational design, nanofabrication, and biological validation across neuroscience, virology, and photonics domains. Professor Bathe runs an active interdisciplinary research group mentoring students in the Bathe BioNano Lab. His team develops both computational design frameworks (e.g., ATHENA for DNA origami) and experimental protocols for high-scale fabrication of nucleic acid materials. Current projects include targeted delivery of CRISPR therapeutics, phenotypic profiling of neuronal circuits in psychiatric disease, and quantum computing applications using DNA-scaffolded chromophores. The lab operates within MIT’s state-of-the-art facilities, collaborating with the Broad Institute for genomic applications and HMS for translational medicine. Ongoing work focuses on overcoming clinical translation barriers for nucleic acid nanotechnology through scalable manufacturing techniques and rigorous in vivo validation, with commercial applications in vaccines, data storage, and quantum information processing.

Alan Scheller-WolfView profile

Professor

• Stochastic Processes
• Operations Management
• Energy and Sustainability
• +5 more

Alan Scheller-Wolf is the Richard M. Cyert Professor of Operations Management at Carnegie Mellon University's Tepper School of Business. His research focuses on stochastic processes applied to energy sustainability , supply chain management , renewable energy , and healthcare operations , including split liver transplantation and child welfare systems . He is affiliated with the Wilton E. Scott Institute for Energy Innovation. PhD in Operations Research (1996), Columbia University BS in Mathematics and Computational Science (1989), Stanford University His recent work emphasizes data-driven optimization , fairness in resource allocation , and algorithmic approaches for complex systems like server farms and quantum networks . Publications highlight applications in organ procurement , remanufacturing , and public service operations .

• Sustainability
• Digital Marketing
• Responsible Marketing
• +5 more

Dr Chrysostomos Apostolidis is an Associate Professor in Marketing at the Durham University Business School, serving as Faculty Exchange Coordinator. His research focuses on the intersection of sustainability, technology, and management, particularly exploring how digital marketing strategies and innovative technologies can advance social, environmental, and financial sustainability across industries. He holds roles as UK National Representative for EMAC and co-Chair of the Academy of Marketing’s Services Marketing SIG. His research methodologies include qualitative, quantitative, and experimental approaches, addressing sectors like food, fashion, tourism, and financial services. He has published in leading journals such as Journal of Business Research and Technological Forecasting and Social Change , and guest-edited Special Issues on digital technologies and sustainable business. Notably, he received the GOURMAND WORLD BOOK AWARD 2020 for his chapter on meat alternatives. Dr Apostolidis has secured research funding from businesses, NGOs, and government bodies, and advises on policy issues like sustainable consumption and undeclared work. He actively supervises PhD students in digital marketing, digital transformation, and responsible marketing. His work emphasizes ethical technology integration, sustainable value co-creation, and the impact of AI/Blockchain on business models. He serves on editorial boards of prestigious journals and is an Associate Editor of the Journal of Services Marketing . His research collaborations span universities and institutions globally, reflecting his commitment to advancing interdisciplinary solutions for contemporary business challenges.

Grace McCarthyView profile

Professor

• Leadership
• Coaching
• Entrepreneurship
• +5 more

Grace McCarthy is a Professor and currently serves as the Interim Executive Dean of the Faculty of Business and Law at the University of Wollongong (UOW). With a PhD in Leadership from UMIST (Manchester), her career blends industry experience in multinational management with academic rigor. She specializes in leadership, coaching, entrepreneurship, and digital innovation, emphasizing responsible management practices. Education & Roles: PhD in Leadership, UMIST (Manchester) Interim Executive Dean, UOW Past roles: Dean of Business, Sydney Business School, and Associate Dean Research Interests: Grace explores leadership coaching, virtual and hybrid workplace dynamics, AI ethics, and educational innovation. Her 2025 book on hybrid coaching methodologies highlights her focus on modern work environments. She advocates for ethical leadership and has contributed to frameworks for AI-driven service innovation. Awards: Australian Government Citation for Teaching Excellence UOW Vice Chancellor’s Awards for Teaching, Research Supervision, and Global Strategy Service & Leadership: She chairs UOW committees, reviews business school accreditations globally (AACSB), and serves on boards including The Illawarra Connection and St. Mary's Star of the Sea College. Her workshops on communicating research to non-academics further bridge theory and practice. Teaching: Focuses on postgraduate leadership education, entrepreneurship, and cross-cultural collaboration. She employs authentic assessments and interactive learning to foster student engagement.

Ben LearView profile

Professor

• Inorganic Chemistry
• Materials Science
• Nanoscience
• +3 more

Ben Lear is a Professor of Chemistry and Associate Department Head for Facilities at the Department of Chemistry, part of the Eberly College of Science at Pennsylvania State University. He holds a B.S. (2002) and M.S. (2004) from the University of California, Davis and San Diego, respectively, and a Ph.D. (2007) from UC San Diego. His research focuses on nanoparticle interactions with chemical environments, particularly ligand control over electronic properties and photothermal-driven chemistry. Research interests include: (1) Modulating electronic properties of metal nanoparticles via ligands, using UV/Vis and EPR spectroscopy; (2) Photothermal activation of chemical reactions at nanoscale spatial/temporal resolution, achieving high-temperature polymerization and clean reactions. The Lear Lab employs advanced techniques like conduction electron spin resonance and molecular dynamics simulations. Publications highlight breakthroughs in photothermal curing of polymers and ligand-induced electronic changes in metallic nanoparticles. His lab develops custom tools for data analysis (e.g., chi_Pauli calculator, lognormal fitter) and characterization methods. Current projects explore nanoscale heat applications and ligand-surface interface effects. Lab resources include collaborations with Penn State's Eberly College infrastructure and access to specialized equipment for nanoparticle synthesis and analysis. The group comprises undergraduates, graduates, and occasional postdocs working at the chemistry/materials science interface.

• Supply Chain Management
• Operations Research
• Engineering Education
• +7 more

Dr. Vincent Hargaden is an Associate Professor and Head of School at the School of Mechanical and Materials Engineering, University College Dublin. He holds a PhD in Decision Science from Rensselaer Polytechnic Institute and has over two decades of academic and industry experience. His research focuses on three core areas: Workforce Planning in professional services, Design and Optimization of resilient supply chains, and innovations in Engineering Education. He leads the UCD Master of Engineering Management program and has received multiple teaching awards including the 2017 University Teaching Excellence Award. Education: BE (Mechanical Engineering), University College Dublin MEngSc (Computer Integrated Manufacturing), NUI Galway MBA, UCD Michael Smurfit Graduate Business School PhD (Decision Science), Rensselaer Polytechnic Institute Professional Diploma in University Teaching & Learning, UCD Research Interests: Supply Chain Resilience & Risk Assessment Blockchain Applications in Construction & Engineering Digital Twin Technologies for Manufacturing Industry 4.0 Integration in Agri-Food Sectors Active Learning Pedagogies in Engineering Education Notable Achievements: Co-Principal Investigator in Enterprise Ireland Dairy Processing Technology Centre H2020 VALUMICS Project (Food Value Chain Dynamics) IBM Global PhD Fellowship (2010) UCD Learning Factory Initiative Participation

Qian ChenView profile

Assistant Professor

• Business Analytics
• Digital Marketing
• Operations Management
• +4 more

Qian Chen is an Assistant Professor in the Department of Supply Chain & Information Systems at The Pennsylvania State University’s Smeal College of Business. Previously, she held an Assistant Professorship in Marketing at the University of Nebraska-Lincoln College of Business (2020–2022). She earned a Ph.D. in Marketing from Penn State (2020), M.Sc. in Statistics and Master’s in Urban Planning from the University of Minnesota (2012), and dual bachelor’s degrees in Economics and Geographical Science from Peking University (2009). Her research focuses on business analytics, digital marketing, and operations management, leveraging machine learning, network analysis, and optimization to drive data-driven decisions. Key interests include AI’s societal impact, customer targeting, inventory control, and multi-touch attribution modeling. She has published in top journals like Management Science and Journal of Business & Economic Statistics. Recent Research Highlights: Developed graphical point process models for multi-touch attribution in marketing Advanced AI’s role in scientific creativity and business innovation Explored robust statistical methods for high-dimensional compositional data She has received multiple accolades, including the INFORMS Information Systems Cluster Best Paper Award and Adobe’s Data Science Research Award. Her work bridges academic rigor with industry relevance, addressing challenges in supply chain optimization, AI ethics, and urban sustainability. Professional Experience: Prior to academia, Dr. Chen worked as a Marketing Operations Manager and Business Intelligence Specialist at AvePoint Inc. (2012–2014).

Reza MousaviView profile

Associate Professor

• Information Assurance
• Cybersecurity
• Business Analytics
• +5 more

Dr. Reza Mousavi is an Associate Professor of Business Information Systems at Western Michigan University's Haworth College of Business. He holds a Ph.D. in Business Computer Information Systems from the University of North Texas (2016), an MBA in General Management from Sharif University of Technology (Iran, 2012), and a B.S. in Computer Engineering from the University of Isfahan (Iran, 2009). His research focuses on information assurance, cybersecurity, business analytics, and electronic business. Key areas include online review dynamics, e-commerce security, privacy mechanisms, and AI-driven data analytics. He has published in journals such as Decision Support Systems and Communications of the Association for Information Systems . Teaching interests span business analytics, data science, cybersecurity, and information systems. Notable awards include the 2019 Haworth College of Business Faculty Teaching Award and the 2018 Departmental Research Award. His work bridges academic research with industry applications in digital transformation and cybersecurity strategies.

Harry FoxwellView profile

Associate Professor

• Cloud Computing
• Data Analytics
• Artificial Intelligence
• +2 more

Harry Foxwell is an Associate Professor in Information Sciences and Technology at George Mason University (Research Hall, Fairfax campus). He teaches cloud computing, data analytics, and AI courses, drawing from prior industry experience at Oracle and Sun Microsystems. Military service includes Vietnam deployment (1968-1969) with 1st Infantry Division, earning Air Medal and Bronze Star. Education includes a PhD in Information Technology (GMU, 2003), MS in Applied Statistics (Villanova), and BA in Mathematics (Franklin and Marshall College). Research interests span: Cloud computing infrastructure Data science pedagogy AI/ML applications Cybersecurity frameworks Recent publications focus on metacognition in STEM education, data quality management, and IoT security. Authored technical books including Creating Good Data (2020) and Oracle Solaris Administration Handbook . No funded research projects, student advising, or labs are detailed in sources.

Giuditta PezzottaView profile

Associate Professor

• Product-Service Design and Engineering
• Operations Management
• Servitization
• +5 more

Giuditta Pezzotta is an Associate Professor at the Department of Management, Information and Production Engineering of the University of Bergamo. She holds a Ph.D. in Management, Economics and Industrial Engineering from Politecnico di Milano (2010). Her research focuses on Product-Service Design, Operations Management, and digital transformation in manufacturing sectors. Key projects include coordinating EU-funded initiatives like DIVERSITY (H2020) and ProSSaliC (Marie Curie), and leading the DigiFOF project addressing Industry 4.0 competencies. She is also active in the ASAP Service Management Forum. Her academic journey includes roles as technical coordinator for ABB-funded research on Condition-Based Maintenance and regional/industry projects in service and production engineering. Research interests span servitization, sustainability, IoT applications, lean practices for neurodiverse workforces, and blended learning frameworks in engineering education. Publications emphasize digital servitization strategies, PSS sustainability metrics, and cross-cultural comparisons in machinery sectors. Recent work explores barriers to servitization adoption, human-centric service frameworks, and maintenance data analytics. She contributes to advancing Industry 5.0 concepts, emphasizing eco-efficiency and circular systems. Professional activities include advisory roles on education quality assurance and innovation policies. Her work bridges academia and industry through collaborative projects and frameworks for SMEs transitioning to service-oriented models.

• Deep Learning
• Machine Learning
• Software Engineering
• +7 more

Nemanja Milošević is an Assistant Professor at the Department of Mathematics and Informatics , Faculty of Sciences, University of Novi Sad, Serbia. He actively contributes to open-source communities as a Fedora Project Developer & Ambassador and maintains a personal blog related to academic topics. PhD in Computer Science Specializes in Deep Learning, Federated Learning, and Edge Computing Lectures courses: Deep Learning, Distributed Deep Learning, Business Software Development, Scientific Programming, and Mobile Application Development Research focuses on neural network architectures, system security, and toxicology applications His research spans multiple domains including: Deep Learning optimization techniques Industrial IoT security frameworks Big Data analytics across manufacturing and banking sectors Toxicology modeling with machine learning Edge computing resource management Software quality analysis methodologies Recent publications demonstrate expertise in federated learning implementations, negative feature classification, and deep learning applications in toxicology. He maintains active collaborations across Europe and contributes to IEEE and arXiv publications. As part of his academic practice, Nemanja: Develops open-source software solutions Participates in international research workshops Utilizes modern e-learning platforms (PMF Moodle) Engages in cross-disciplinary research projects Contact: nmilosev@dmi.rs | nmilosev@fedoraproject.org

Nora Shayesteh AmeriView profile

Associate Professor

• Additive Manufacturing
• Refractory Materials
• High-Temperature Alloys
• +3 more

Nora Shayesteh Ameri is an Associate Professor at the University of Texas at Arlington in the Mechanical and Aerospace Engineering Department , where she directs the Innovative Additive Manufacturing Lab . She holds a PhD in Mechanical Engineering from the University of Toledo (2018), preceded by M.Sc. (2015) and B.S. (2012) degrees in the same field from the University of Toledo and Isfahan University of Technology respectively. Joined UTA in 2018 as Assistant Professor, promoted to Associate Professor in 2024 Received NSF CAREER Award ($582k) in 2023 for tungsten AM research Secured STARs Award ($300k) from UT System in 2018 Her research focuses on additive manufacturing of high-temperature alloys , refractory materials , and biomedical devices , with expertise in multi-scale modeling , microstructure analysis , and process optimization . Recent publications analyze laser powder bed fusion of NiTi and Ti6Al4V alloys, emphasizing microstructure control , porosity detection , and mechanical property enhancement . Her 2023 work explores in-situ martensite decomposition in Ti6Al4V, while 2022 studies examine hatch spacing effects on NiTi properties and machine learning-based defect detection. 2023: 6 publications including Sci Rep and J Manuf Mater Process 2022: 4 publications in Materials Characterization and Optics & Laser Technology 2021: 5 key studies on support structures and ANN modeling Scientific accolades include NSF CAREER Award (2023), CoE REU Program Awards (2018-2024), and nominations to NAE Frontiers of Engineering (2019) and WiSTEM²D Scholars (2018). She has mentored over 30 graduate and undergraduate researchers, serving on multiple doctoral committees and advising REU/LSAMP programs. Her lab collaborates with industry partners like Bell Helicopter and the US Air Force, focusing on 3D printed aerospace components and biomedical implants .

Siavosh Haghighi MovahedView profile

Senior Lecturer

• Software-Defined Networking (SDN)
• Network Automation and Programmability
• AI Driven Networking
• +5 more

Siavosh Haghighi Movahed is a Senior Lecturer and Course Leader for the MSc Advanced Computer Networks at Sheffield Hallam University's School of Computing and Digital Technologies. He holds expertise in computer networking, network security, and innovative teaching methodologies. With over 15 years of industry experience as a senior network engineer and manager, he bridges academic and industry practices through initiatives like the 'Adventures in Networking' event. Teaching awards include the Sheffield Hallam University Inspirational Teaching Award and multiple college/school accolades. His research focuses on Software-Defined Networking (SDN), AI-driven networking, SD-WAN, network automation, and IoT integration. He supervises undergraduate/master’s projects and develops industry-aligned curricula. Current research projects include SD-Access Fabric Design (2024) and SASE Architecture integration with ZTNA (2024). As Cisco Networking Academy curriculum lead, he adapts Cisco-certified materials for academic use.