Robert Heinemann is a Senior Lecturer in the Department of Mechanical and Aerospace Engineering at the University of Manchester, affiliated with the School of MACE. His work focuses on advanced machining, tool condition monitoring, and sustainable manufacturing processes. He holds a PhD from the University of Manchester Institute of Science and Technology (2004) and has extensive research experience in drilling technology, carbon-based coatings, and environmental benign machining. Education: Diplom Ingenieur (Dipl.-Ing. FH) in Mechanical Engineering, University of Paderborn, Germany (1999) MSc in Electronic Engineering and Engineering Management, University of Paderborn/Bolton University (2001) PhD in Mechanical Engineering, University of Manchester Institute of Science and Technology (2004) Research interests include: Drilling and reaming technology for minimally invasive surgery Development of diamond-like carbon coatings for cutting tools Process and tool optimization for aerospace and biomedical applications Environmental sustainability in manufacturing design His research outputs emphasize adaptive drilling strategies, deep learning applications in process monitoring, and sustainable manufacturing practices aligned with UN SDGs. He leads the Laser Processing Research Centre (LPRC), focusing on laser-based machining innovations. Scientific achievements include a Leverhulme Trust Early Career Fellowship (2010) and contributions to over 40 peer-reviewed articles. He advises 9 postgraduate research students and collaborates on multi-disciplinary projects addressing industrial challenges in composites and precision engineering.
Nura Aljaafari is a researcher in the Department of Computer Science, focusing on adversarial machine learning and text processing. Her work explores the robustness of machine learning models against adversarial attacks and defenses, particularly in federated learning and natural language processing contexts. Dr. Aljaafari holds a Doctor of Philosophy (Ph.D.) in Computer Science, providing expertise in advanced computing and machine learning methodologies. Her research interests center on adversarial machine learning, text processing, and enhancing the security of machine learning algorithms. Her recent studies include analyzing token compositionality in large language models and interpreting conceptual frameworks in GPT models, highlighting her focus on model interpretability and reliability. Earlier work includes investigating adversarial attacks in federated learning systems and developing defenses for license plate recognition systems. While her profile does not explicitly list awards or grants, her publications have garnered significant attention, with citations in cybersecurity and machine learning fields. Collaborations include developing bioinformatics tools using GANs and analyzing organizational security practices in Saudi Arabian contexts.
Lorenzo Bruno Prataviera is a Tenure Track Researcher (Ricercatore) in the Department of Management at the University of Verona since October 2024. Previously, he served as Senior Lecturer in Logistics and Supply Chain Management at Cranfield School of Management (until September 2024), where he also acted as Deputy Director of the Master's program in Logistics and Supply Chain Management. He holds a PhD in Management Engineering from Politecnico di Milano (2020) and was a Visiting PhD Scholar at Lund University’s Department of Logistics in Sweden. His research focuses on global supply chain design, sustainability, resilience, and the interplay between logistics and legal/tax frameworks. He has published in top-tier journals like Journal of Business Logistics (ABS 3), Supply Chain Management: An International Journal (ABS 3), and Business Strategy and the Environment (ABS 3). He leads the SHIELD project (2024–present), exploring digital advancements for sustainable and human-centric logistics. His work emphasizes circular economy principles, resilience strategies, and supply chain finance. He has also earned the Fellow of the Higher Education Academy (FHEA) qualification in 2023, reflecting his commitment to educational excellence. Teaching: He teaches modules on supply chain design, logistics strategy, and qualitative research methods at the University of Verona’s Master’s programs in Supply Chain Management and Marketing/Corporate Communication. Third Mission: Engaged in public engagement and professional training programs, including initiatives related to supply chain sustainability and resilience. Research Groups: Part of the Logistics and Supply Chain Management group, which investigates innovative strategies for sustainability, circular economy, and resilience through interdisciplinary approaches. His research bridges academic theory and industry practice, addressing challenges such as tax optimization in global networks, post-pandemic resilience, and green logistics adoption. He collaborates with international institutions and maintains a strong focus on real-world applications of supply chain solutions.
Giada Di Stefano is an Associate Professor of Strategy at Bocconi University's Department of Management and Technology, and Director of the Doctorate in Business Administration (DBA) at SDA Bocconi School of Management. She holds a PhD from Bocconi University (2011) and previously worked as a faculty member at HEC Paris and as a product manager at L’Oréal Paris. Her research focuses on innovation, knowledge transfer, and organizational learning within creative industries like gourmet cuisine, academia, and computer programming. Her teaching portfolio includes courses on strategy, data analysis for managerial decision-making, and research design at the M.Sc., MBA, and PhD levels. She also contributes to editorial roles at journals like Strategic Management Journal and Strategy Science , and serves on the board of the Consortium on Competitiveness and Cooperation (CCC). Her research methodology emphasizes mixed-method approaches, including field experiments conducted in real-world settings. Key research themes include the interplay between competition and cooperation, institutional norms in knowledge transfer, and organizational responses to status shocks. Her work has been published in top-tier journals such as Academy of Management Journal , Management Science , and Strategic Management Journal , with notable contributions to dynamic capabilities theory and experimental strategy research. Editorial Roles: Associate Editor at Strategic Management Journal , Contributing Editor at Strategy Science Affiliations: BELSS, iCrios, SnO Research Center (HEC Paris) Service Roles: Director of SRF Will Mitchell Dissertation Research Grant Program, Board Member of the Strategic Management Society Her work bridges organizational theory and strategic management, emphasizing interdisciplinary dialogue and practical applications of research findings.
Barry Williams is an Associate Professor in the Department of Banking and Finance at Monash University. Previously, he held roles at Bond University as a Professor of Finance and founding Co-Director of the Globalisation and Development Center. He also serves as a Visiting Research Professor at the KOF Swiss Economic Institute (ETH Zurich) and collaborates with the Australian Prudential Regulation Authority (APRA). His academic journey includes prior positions at The University of Queensland and Monash University, preceded by experience in the State Bank of Victoria's Economics Department. Education: PhD in Finance (date unspecified), MCom in Economics from the University of Melbourne (1987–1991), and BEc in Economics from La Trobe University (1985). Research focuses on banking industry dynamics, including bank performance, risk, and multinational operations. Key areas include non-interest income impacts, systemic risk, and cross-border banking efficiency. His work explores regulatory frameworks, capital buffers, and crisis management in global contexts. Notable collaborations span Asia-Pacific regions and involve studies on foreign bank efficiency and governance. Recent articles highlight bankruptcy resolution mechanisms, bank risk dynamics, and capital structure strategies. His projects include analyzing foreign bank contributions in Australia and investigating national governance effects on financial stability. Barry actively supervises PhD students and maintains affiliations with leading institutions in finance and economics. Professional contributions include advisory roles at APRA and KOF, emphasizing policy-relevant research. His interdisciplinary approach bridges theoretical frameworks with practical banking challenges, influencing both academic discourse and regulatory practices.
Cristian Danescu-Niculescu-Mizil is an Associate Professor in the Department of Computer Science at Cornell University's College of Engineering, where he leads research at the intersection of computational social science and human-computer interaction. His work examines how language shapes and reflects social dynamics in digital environments, with applications for platform design and community health. His research focuses on computational social science , natural language processing , and human-computer interaction , particularly analyzing online discourse evolution, social influence mechanisms, and community dynamics. Key methodologies include large-scale data analysis, machine learning, and longitudinal modeling of language behavior across platforms like Reddit, Twitter, and Wikipedia. Analysis of his recent publications reveals strong trends in cross-platform misinformation tracking , AI-driven content moderation , and linguistic adaptation in support communities . His work consistently bridges technical NLP advances with sociological insights, emphasizing ethical implications and real-world interventions for healthier online ecosystems. Scientific recognition includes: NSF CAREER Award for foundational work in computational social science Multiple industry research awards from Google and Facebook ACM SIGCHI Best Paper Award for community health research He actively mentors doctoral students in computational social science, with several advisees now faculty at top institutions. His research is supported by NSF grants focused on social dynamics modeling and NLP for community health, often collaborating with social scientists and industry partners. Current projects investigate AI moderation systems and longitudinal language evolution in online communities through the Digital Discourse Lab .
Dr. Jooh Lee is a Professor of Management at Rowan University's William G. Rohrer College of Business. He holds a Ph.D. in Management Science from the University of Mississippi and an M.S. from Colorado State University. His research examines operational linkages between strategy and performance, with emphasis on sustainability, reputation, CEO compensation, and technology impacts. Lee has published over 130 scholarly articles focusing on international business strategy and operational efficiency. His recent work analyzes ESG performance, R&D-exports synergies, and reputation- compensation relationships using advanced modeling techniques. Research methodologies include neural networks, comparative international analyses, and longitudinal performance studies. Honors include holding The Campbell Professorial Chair. His teaching portfolio includes Operations Management, Managerial Decision Making Tools, and Business Forecasting at MBA and undergraduate levels.
Salvatore Sciascia is a Full Professor of Business Administration at Università Carlo Cattaneo - LIUC since 2018. He serves as Rector’s Delegate for Research (since 2019) and co-directs the FAmily BUsiness Lab (since 2020). He holds additional roles as a contract professor at Lucerne University of Applied Sciences (since 2019) and an affiliated professor at Jönköping International Business School’s CeFEO (since 2021). His academic journey began in 2000 as a Contract Professor at LIUC, followed by a Ph.D. in 2004, which earned publication recognition. Sciascia has held teaching and research positions across Italian and European institutions, including Bocconi, Cattolica-Milan, and Grenoble. His research focuses on family business dynamics, strategic management, entrepreneurship, and internationalization. He has published in top journals like Entrepreneurship Theory & Practice and Family Business Review . Sciascia’s editorial leadership includes co-editing the Journal of Management & Governance and serving on editorial boards of four other journals. Education: Ph.D. in Business Administration (LIUC, 2004) Research Interests: Family Business Governance, Strategic Management, Internationalization Strategies, Innovation in Family Enterprises, Socioemotional Wealth, and Gender Diversity in Leadership. His work bridges theoretical frameworks with practical insights into family firm sustainability and performance. Awards & Honors: Schulze Publication Award (2023) Research Excellence Award (LIUC, 2019) Top Cited Articles in Strategic Entrepreneurship Journal (2021–2022) Multiple Best Paper Awards at IFERA and EURAM Conferences Advising & Grants: Over 20 years of advisory work in strategic management and family business. Secured grants, e.g., Spanish Ministry of Economy (2016). Active in mentoring through academic networks like SIDREA and IFERA. Labs & Teams: Co-founder of the FAmily BUsiness Lab at LIUC, fostering interdisciplinary research on family enterprise challenges and innovations.
Associate Professor Jean-Paul Paluzzi is part of the Biology Department at York University's Faculty of Science, serving as Graduate Program Director. His research focuses on neuroendocrine mechanisms in blood-feeding arthropods like mosquitoes and ticks, particularly how hormones regulate physiological processes such as osmoregulation and reproduction. His lab uses multidisciplinary approaches (physiological, genetic, molecular) to study signaling pathways in disease vectors like Aedes aegypti (yellow fever mosquito) and Ixodes scapularis (Lyme disease vector). Key research areas include neurohormonal control of epithelial tissues, stress responses, and the functional roles of proteins involved in neuroendocrine communication. Recent work explores CAPA neuropeptides' anti-diuretic effects, aquaporin regulation, and receptor characterization. His lab's findings aim to advance strategies for controlling disease-transmitting insects. Paluzzi leads the Paluzzi Lab and has contributed to over 50 peer-reviewed articles. His work aligns with UN Sustainable Development Goal 'Life on Land' by addressing vector-borne disease challenges.
Dr. Katherine Maxwell is a Research Fellow at the Global Centre on Healthcare and Urbanisation (GCHU) and holds roles as an Associate at WSP, leading their Net Zero Cities team, and Chief Climate Scientist at Kooling, a data-driven startup focused on corporate transport emissions reduction. She was nominated as a COP26 Climate Resilience Fellow by the COP Universities Network and Cambridge Zero, representing GCHU at COP26. Her expertise spans climate policy, urban sustainability, and disaster resilience. Education: DPhil in Sustainable Urban Development (University of Oxford), MSc and BSc in Environmental Sustainability and Geography (University of Edinburgh). Research focuses on integrating climate strategies into urban planning, particularly in global cities. She has advised cities in Africa, Asia, and Latin America through C40 Cities Climate Leadership Group, where she managed climate action plans aligned with the Paris Agreement. Her work includes UN-HABITAT board roles and European Union-funded projects via the Edinburgh Centre for Carbon Innovation. Notable recognition includes her COP26 Fellowship and contributions to the New Climate Economy report while at the London School of Economics. Past roles include Visiting Researcher at UC Chile, consultancy work through 'Urban Transitions', and board positions at GCHU.
Honorio Martin Gonzalez serves as a Full Professor and Deputy Director of Students and Coordination of Final Study Projects at Universidad Carlos III de Madrid (UC3M), specializing in Electronic Technology. His academic base is located in room 1.2.B05 of the Agustín de Betancourt building at the Leganés campus. His research centers on Electronic Engineering and Identification Technologies , with specific focus on RFID systems, sensor networks, and electronic identification solutions. These interests align with his affiliation to the University Group of Identification Technologies (GUTI), where practical applications in security and logistics systems are developed. Professor Gonzalez maintains active research portal integration through UC3M's institutional systems, with publications and project data accessible via their research portal infrastructure. His operational role includes student coordination for final degree projects within the Electronic Technology domain. Contact details include direct email ( honorio.martin@uc3m.es ) and campus telephone (916249496), reflecting his ongoing administrative and academic responsibilities at the university.
Dr. Byung-Gak Son is a Senior Lecturer in Supply Chain Management at the Bayes Business School, City, University of London. His research focuses on supply chain risk management, partnership dynamics, and offshoring strategies, with particular emphasis on extended supply chain resilience. He serves as Course Director for the MSc in Global Supply Chain Management and the Sogang-KAIST Dual Degree Programme. His consultancy work includes engagements with the Korean Ministry of Foreign Affairs and the Korea Trade-Investment Promotion Agency. Education PhD in Supply Chain Management MSc in Operations Management BA in Business Studies Research Interests Dr. Son's work examines strategic supply chain governance, digitalization challenges, and disruption recovery mechanisms. He investigates how firms manage risks in complex global networks through social capital, trust, and organizational design. Recent studies explore paradox theory applications in resolving supply chain tensions and the impact of digital capability asymmetry on buyer-supplier relationships. Publications His research appears in top journals like International Journal of Operations & Production Management and Journal of Supply Chain Management, with a focus on global supply chain resilience, digitalization paradoxes, and M&A success factors. Recent trends emphasize sustainability linkages, humanitarian logistics, and innovation dynamics in supply networks. Grants & Advising Advises Patrapa Chadist's doctoral research on supply chain disruption response. Engages in editorial roles for Transportation Research Part E, International Journal of Production Economics, and Long Range Planning. Active in conferences such as the Production and Operations Management Society meetings. Labs & Teams Leads academic initiatives in global supply chain education and cross-border collaboration through dual degree programs. Coordinates research teams examining supply chain digitalization and resilience strategies in Asia and Europe.
Mohamed-Slim Alouini is a Professor of Electrical Engineering and Associate Dean of the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He also serves as the Associate Vice President for Research and holds the UNESCO Chair in Education to Connect the Unconnected. With over 500 journal publications and more than 46,000 citations, he is a world-renowned expert in wireless communications who was elected IEEE Fellow in 2009 at the age of 39. Education: PhD in Electrical Engineering, California Institute of Technology (Caltech), 1998 MS in Electrical Engineering, Georgia Institute of Technology (Georgia Tech), 1995 Diplôme d'Etudes Approfondies (DEA) in Electronics, Université Pierre & Marie Curie (Sorbonne University), 1993 Diplôme d'Ingénieur, École Nationale Supérieure des Télécommunications (Télécom Paris Tech), 1993 Habilitation, Université Pierre & Marie Curie (Sorbonne University), 2003 Dr. Alouini is a world-renowned expert in wireless communication and networking with research interests spanning diversity combining techniques, MIMO systems, multi-hop/cooperative communications, optical wireless systems, cognitive radio, UAV communications, and advanced modulation schemes. His current focus addresses the technical challenges of uneven information and communication technology distribution, particularly targeting rural, low-income, disaster-prone, and hard-to-reach areas through integrated ground-airborne-space networks. His work bridges theoretical foundations with practical implementations to solve real-world connectivity problems. His recent publications (2020-2024) demonstrate a clear research trajectory toward integrated communication networks combining terrestrial, aerial, and space components. There's growing emphasis on UAV communications, satellite systems, optical wireless technologies, and rural connectivity solutions, with increasing integration of machine learning techniques for network optimization. His work shows consistent focus on addressing the digital divide, with several publications specifically targeting 6G challenges for connecting underserved populations and recycling existing infrastructure for enhanced rural connectivity. Scientific Awards: Member of the European Academy of Sciences and Arts (2019) Fellow of the African Academy of Sciences (2018) IEEE Fellow (2009) Abdul Hameed Shoman Award for Arab Researchers (2016) OIC Science & Technology Achievement Award (2017) Multiple recognitions as Highly Cited Researcher NSF CAREER Award (1999) Dr. Alouini has mentored numerous successful students and post-doctoral fellows who have secured positions at top institutions worldwide including Harvard, Caltech, Imperial College, and faculty positions at Korea University, Hanyang University, and universities across the Middle East. His December 2018 PhD graduate Qurrat-Ul-Ain Nadeem received the prestigious Marconi Society Paul Baran Young Scholars award, while post-doctoral fellows have won IEEE ComSoc Young Professionals Best Innovation Award and attended the Lindau Nobel Meeting. His Communication Theory Lab at KAUST drives significant research in wireless communications with funding supporting extensive publication output and innovative projects. Dr. Alouini leads the Communication Theory Lab at KAUST and holds the UNESCO Chair in Education to Connect the Unconnected, focusing specifically on technical solutions for connecting underserved communities. His lab works on integrated ground-airborne-space networks to bridge the digital divide, with particular emphasis on rural, low-income, and hard-to-reach areas. The team develops practical solutions using UAVs, satellite communications, and recycled infrastructure to provide cost-effective connectivity where traditional approaches fail.
Professor Dong Xu is a Tenured Professor in the Department of Computer Science at the University of Hong Kong (HKU), part of the School of Computing and Data Science. He holds a B.Eng. and Ph.D. from the University of Science and Technology of China (USTC). His career includes tenured roles at Nanyang Technological University and the University of Sydney, alongside postdoctoral research at Columbia University. His research focuses on Artificial Intelligence, Computer Vision, Multimedia, and Machine Learning , with applications in autonomous driving, AR/VR, medical image analysis, and video surveillance. Xu has authored over 150 papers in top journals and conferences, including CVPR, ICCV, and IEEE Transactions. He actively contributes to the academic community as an editorial board member for journals like ACM Computing Surveys and IEEE Transactions, and through leadership roles in conferences such as ACM Multimedia and ICME. Notable awards include Fellowships from IEEE and IAPR, and the IEEE Signal Processing Society Distinguished Lecturer title (2021–2022). Education: B.Eng. (USTC, 2001), Ph.D. (USTC, 2005) Professional Service: Program Coordinator of ACM Multimedia 2024, Guest Editor of over ten special issues.
Roziana Ramli is an academic affiliated with Northumbria University, holding a PhD in Computer Science. Her research focuses on medical imaging techniques, cybersecurity in healthcare systems, and bio-inspired optimization algorithms. She has contributed to advancements in retinal fundus image registration and IoT security protocols. Her work integrates computer vision with biomedical applications, addressing challenges in healthcare monitoring and assistive technologies. Key research areas include federated learning in healthcare networks, prosodic feature analysis for language recognition, and secure communication for drone networks. Her systematic literature reviews and algorithmic innovations highlight her interdisciplinary approach to solving technical and clinical problems. Though no formal awards are listed, her active publication record from 1999 to 2024 demonstrates sustained academic engagement.
