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Huy T TranView profile

Assistant Professor

• Autonomy
• Reinforcement Learning
• Artificial Intelligence
• +5 more

Huy T Tran is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign's College of Engineering, with additional appointments at the Applied Research Institute. His research focuses on the intersection of robotics, artificial intelligence, and multi-agent systems, with applications spanning autonomous navigation, critical infrastructure resilience, and intelligent transportation. Dr. Tran earned his Ph.D. in Aerospace Engineering from Georgia Institute of Technology in 2015, following advanced degrees from Georgia Tech and University of Wisconsin-Madison. His academic journey includes research assistant professor positions before achieving his current assistant professor role in 2021. He previously worked as a Senior Multi-Disciplinary Systems Engineer at The MITRE Corporation and served as a Visiting Scholar at the Air Force Institute of Technology. His research interests encompass Autonomy, Reinforcement Learning, Artificial Intelligence, Machine Learning, Robotics, Multiagent Systems, Intelligent Transportation Systems, and Critical Infrastructure Resilience. As director of the Lab for Intelligent Robots and Agents (LIRA), he leads cutting-edge research in autonomous systems that interact with humans and other robots. His work has evolved from foundational resilience modeling in aerospace systems toward increasingly sophisticated AI applications in multi-robot coordination and explainable decision-making. Dr. Tran's publication record demonstrates a clear trajectory toward explainable AI and human-AI collaboration, with recent work focusing on generating explanations for reinforcement learning policies, coordination in ad hoc teams, and neuro-symbolic approaches to robot policy interpretation. His research bridges theoretical advances with practical applications in air traffic control, field robotics, and critical infrastructure management. Best Paper Award: Theoretical (2016 Complex Adaptive Systems Conference) Selected for oral presentation at IROS 2023 Workshop 27% full paper acceptance rate at AAMAS 2022 44% acceptance rate at ICRA 2020 As an educator, Dr. Tran teaches core aerospace courses including Computational Systems Engineering, Aerospace Numerical Methods, and Reinforcement Learning. He has secured significant research funding from NASA's Transformational Tools and Technologies program, ARL A2I2 program, ONR Science of AI program, and DARPA. His current projects span ad hoc teaming in multi-robot systems, collective autonomous air mobility, hierarchical reinforcement learning, and interpretable AI agents.

David AbbinkView profile

Professor

• Human-Robot Interaction
• Haptics
• Shared Control
• +7 more

Professor David Abbink is a Full Professor of Haptic Human-Robot Interaction at Delft University of Technology, holding a joint appointment between the Department of Cognitive Robotics in the Faculty of Mechanical Engineering and Industrial Design Engineering since November 2023. He founded the Delft Haptics Lab and co-founded the Cognitive Robotics Department in 2017. Abbink leads the transdisciplinary research and innovation centre FRAIM, which was awarded the prestigious NWO Stevin Premie (Dutch Nobel Prize equivalent) in June 2024. Trained as a mechanical engineer specializing in biomechanics, Abbink's research focuses on human behavior adaptations when interacting with autonomous systems. He has published over a hundred scientific articles on human-robot interaction, haptics, shared control, tele-operation, driver assistance systems, and sensorimotor control. His research has been funded by industry partners (Nissan, Boeing, Renault), RVO (Brightsky project 2022-2026), and the Dutch Science Foundation NWO through personal grants (VENI 2010-2014, VIDI 2015-2019). Abbink's recent work centers on worker-robot relations as an academic focus, collaborating with organizations like Erasmus Medical Centre for nursing work, Schiphol and KLM for baggage handling, and KLM Engine Repair Services for maintenance work. He also serves as scientific director for the Centre for Meaningful Human Control, launched in October 2024. His work bridges engineering, social sciences, and practical applications to responsibly shape the future of work with emerging robotic capabilities. NWO Stevin Premie (2024) Best IEEE SMC journal paper on Cybernetics (2019) Top 25 scientific talents according to New Scientist (2015) Best teacher of Faculty 3mE (2013, 2014) Best teacher of Department of BioMechanical Engineering (seven consecutive years) Abbink has supervised over 110 MSc students and 11 PhD students. His educational contributions include developing the Master Programme in Robotics at TU Delft and receiving international recognition for his course 'The Human Controller.' He is also a prominent science communicator, featured on national television, radio, and major Dutch newspapers, and has delivered lectures at venues like The Royal Institution and Lowlands Festival. Despite his academic commitments, Abbink maintains a drummer persona, having recorded four albums and performed over 400 shows across three continents between 1999-2014.

Natalia Díaz RodríguezView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Reinforcement Learning
• +6 more

Natalia Díaz Rodríguez is an Assistant Professor of Artificial Intelligence at ENSTA ParisTech, where she works in the Computer Science and Systems Engineering department within the Autonomous Systems and Robotics Lab (U2IS). She is also affiliated with the INRIA Flowers team, focusing on developmental robotics. Her research spans deep learning, reinforcement learning, continual learning, and symbolic AI, with applications in explainable AI, computer vision, and robotics for social good. Her academic background includes a double PhD in Artificial Intelligence from Abo Akademi University and the University of Granada, alongside MSc degrees in Soft Computing and Computer Engineering from the University of Granada. She contributes to interdisciplinary AI, particularly in robotics, ethics, and healthcare applications, and co-organizes workshops on continual learning. Double PhD in Artificial Intelligence (2015), Abo Akademi University and University of Granada Doctoral diploma on Innovation and Entrepreneurship (2017), EIT Digital MSc in Soft Computing and Intelligent Systems (2012), University of Granada MSc in Computer Engineering (2010), University of Granada Her recent publications focus on trustworthy AI, including bias identification, counterfactual explanations, and continual learning strategies, reflecting her commitment to ethical and robust AI systems. She also explores AI applications in structural engineering, climate visualization, and financial risk assessment, emphasizing practical deployment and interpretability.

Emily CrossView profile

Professor

• Cognitive Neuroscience
• Social Neuroscience
• Embodied Cognition
• +5 more

Emily Cross is a Full Professor at the Department of Humanities, Social and Political Sciences at ETH Zurich, leading the Social Brain Sciences Professorship since spring 2023. She previously held professorships at Bangor University (Wales), University of Glasgow (Scotland), Macquarie University (Australia), and Western Sydney University's MARCS Institute (Australia). Her research centers on how embodied experience shapes social learning and perception across diverse contexts. Key contributions include identifying neural signatures of embodied expertise using dancers, developing embodied neuroaesthetics theory, uncovering neurocognitive foundations of visual learning across lifespans, and pioneering paradigms for human-robot social engagement. Her interdisciplinary approach bridges technology, performing/visual arts, and social sciences to explore experience-dependent plasticity at brain and behavioral levels. Recent publications (2024-2025) demonstrate intense focus on human-robot interaction dynamics, aesthetic movement perception, and context-dependent social cognition. Work increasingly examines self-disclosure mechanisms to robots, cultural influences on robot acceptance, and neural correlates of movement synchrony, reflecting her expanding influence at the neuroscience-robotics intersection. Scientific awards include: Philip Leverhulme Prize for Psychology Jacob Bronowski Award from British Science Foundation Young Talent Award from Dutch Neuroscience Society RoboHub and Insight Analytics top women in robotics listings Australia’s Superstars of STEM (2022) Cross passionately trains next-generation scientists with emphasis on research ethics. Her work attracts major funding from ERC, NIH, Fulbright Commission, ESRC, EPSRC, and UK Ministry of Defence. She serves on UNESCO’s International Bioethics Committee (co-rapporteur for neurotechnology ethics report) and as Associate Editor for International Journal of Social Robotics. She leads ETH Zurich's dynamic Social Brain Sciences group, which embraces interdisciplinarity through research paradigms bridging technology, performing/visual arts, and biological/social sciences, while maintaining active roles in editorial boards and conference committees including Intelligent Virtual Agents and Affective Computing meetings.

Abraham D. StroockView profile

Assistant Professor

• Microfluidics
• Biophysical Processes
• Vascular Development
• +10 more

Abraham D. Stroock is an Assistant Professor at the School of Chemical and Biomolecular Engineering, Cornell University, since 2003. He holds a B.A. in Physics (Cornell, 1995), M.S. in Solid State Physics (University of Paris, 1997), and Ph.D. in Chemical Engineering (Harvard, 2002). His research bridges microfluidics, biophysics, and sustainable energy. Education: B.A., Physics, Cornell University (1995) M.S., Solid State Physics, University of Paris VI/XI (1997) Ph.D., Chemical Engineering, Harvard University (2002) The Stroock Lab explores micrometer-scale chemical processes inspired by plant biology, focusing on liquid manipulation, negative-pressure water properties, vascular development in tissue engineering, and fluid mechanics in microsystems. Key technologies include microtensiometers and nanoporous membranes . His recent work (2025-2024) spans optical phenotyping using soft robotics, hydromechanical signaling in plants, tissue scaffolds for regenerative medicine, and advanced models for transpiration control. These studies integrate bioengineering, nanotechnology, and environmental science. Scientific Awards: Van Ness Lectureship (2010) Camille Dreyfus Teacher Scholar Award (2009) NSF CAREER Award (2008) MIT Technology Review TR35 (2007) ONR Young Investigator Award (2004) 3M Non-Tenured Faculty Award (2006) Beckman Young Investigator Award (2006) Dreyfus New Faculty Award (2003) He has led projects on superheated loop heat pipes , phosphorescent oxygen sensors , and synthetic tree-on-a-chip systems. His teaching includes advanced biomolecular engineering (ChemE 7770), and he contributes to policy through the Chemistry and Chemical Biology (CBE) Policy Committee.

Elena AsparouhovaView profile

Professor

• Theoretical Financial Economics
• Experimental Finance
• Asset Pricing
• +7 more

Elena Asparouhova is a Professor of Finance at the David Eccles School of Business , University of Utah. She holds a doctorate in Social Sciences from the California Institute of Technology and a Masters in Statistics from Sofia University , Bulgaria. Her research focuses on theoretical and experimental financial economics , including asset pricing theory , experimental finance , general equilibrium theory , and econometrics . Recent work examines financial market competition under delegation , information percolation in dark markets , and human-robot interaction in trading . Best Paper Award, Journal of Financial Markets (2025) Best Paper Award, Review of Finance (2024) Best Paper, Behavioral Finance and Capital Markets Conference, Australia (2025) Continuous National Science Foundation funding for 10+ years Contact: e.asparouhova@utah.edu , University of Utah, Salt Lake City, Utah 84112.

Karen M FeighView profile

Professor

• Cognitive Engineering
• Human Factors Engineering
• Air Traffic Management
• +3 more

Karen M Feigh is a Professor and Associate Chair for Research in the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology, holding the prestigious David S. Lewis Professorship. Her interdisciplinary work integrates aerospace engineering with cognitive sciences to address human-machine interaction challenges in complex aviation and autonomy systems. Education B.S. in Aerospace Engineering, Georgia Institute of Technology MPhil in Aeronautics, Cranfield University, UK Ph.D. in Industrial and Systems Engineering, Georgia Institute of Technology Dr. Feigh's research centers on cognitive engineering applications for flight operations and air traffic management. Through ethnographic studies, human-in-the-loop experiments, and expert system design, she develops solutions that align technology with human cognitive processes to enhance safety and efficiency in NextGen air traffic concepts, vertical lift systems, and autonomous vehicle operations. Scientific Awards David S. Lewis Professorship in the School of Aerospace Engineering (2025) AIAA Wilbur and Orville Wright Graduate Award (2006) Zonta International Amelia Earhart Fellowship (2005) National Science Foundation Graduate Research Fellowship (2001-2006) Marshall Scholarship (2001-2003) As director of the Cognitive Engineering Center (CEC), Dr. Feigh mentors graduate researchers and leads interdisciplinary collaborations across Georgia Tech's research ecosystem. The CEC, embedded within the Vertical Lift Research Center of Excellence and Institute for Robotics and Intelligent Machines, secures funding from agencies including NSF and AIAA to advance adaptive intelligence for industrial robotics and air traffic control systems. Laboratories and Collaborations The Cognitive Engineering Center under Dr. Feigh's leadership conducts field work, human-subjects studies, and mathematical modeling to solve human-machine interaction challenges. The lab maintains active partnerships with NASA, FAA, and industry stakeholders to implement research findings in real-world aerospace operations, with current focus on adaptive interfaces for autonomous systems and crew decision support tools.

Elliot HawkesView profile

Associate Professor

• Dynamic Systems
• Control & Robotics
• Micro & Nano Technology
• +5 more

Elliot Hawkes is an Associate Professor in the Department of Mechanical Engineering at the University of California, Santa Barbara (UCSB). His research bridges design, mechanics, and non-traditional materials to develop robust, adaptable, human-safe robots for uncertain environments. He leads the Hawkes Lab, focusing on bio-inspired microstructured adhesives, nonlinear compliant mechanisms, soft actuators, exoskeletons, and growing robots. PhD from Stanford University, 2015 Postdoctoral Scholar at Stanford's CHARM Lab, 2015-2016 Assistant Professor at UCSB since 2016 Current projects include: Material-like robotic collectives with spatiotemporal control Variable friction shoe for locomotor therapy High-force soft actuators for industrial applications Vine-inspired robots for search and rescue Growing robots for biomedical and environmental use Recent publications in Science and Nature highlight breakthroughs in soft robotics and human-safe actuation. His team has received multiple NSF GRFP awards and a UCSB Regents Fellowship. The lab holds patents in adhesive gripping, soft actuation, and reconfigurable robotics.

Marco Morales AguirreView profile

Academic

• Motion Planning
• Multi-Robot Systems
• Artificial Intelligence
• +5 more

Marco Morales Aguirre is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign and an Associate Professor at Instituto Tecnológico Autónomo de México (ITAM). He directs research at the Parasol Laboratory and has held significant leadership roles including founding member and former president of the Mexican Federation of Robotics (FMR). His academic journey spans both US and Mexican institutions, reflecting his international impact in the robotics community. Dr. Morales received his educational foundation from prestigious institutions: a Ph.D. in Computer Science from Texas A&M University, an M.S. in Electrical Engineering, and a B.S. in Computer Engineering from Universidad Nacional Autónoma de México (UNAM). His academic path has included positions as Visiting Professor at Texas A&M University and Lecturer at UNAM and the System of Technological Universities in México. His research focuses on motion planning algorithms for robotics, with particular expertise in multi-robot systems where he's pioneered frameworks like Adaptive Robot Coordination (ARC). His work bridges theoretical algorithm development with practical applications in industrial settings, computational biology, and extended reality interfaces. He has made significant contributions to topological guidance methods that improve planning efficiency in complex environments with narrow passages. Analysis of his recent publications reveals a strong trajectory toward more complex multi-robot coordination problems, with increasing emphasis on integrating task and motion planning. His research group has developed innovative approaches that scale to larger robot teams while maintaining computational efficiency, particularly in congested environments where traditional methods struggle. Member of the National System of Researchers of Mexico (level II) Founding member and former president of the Mexican Federation of Robotics (FMR) Member of the Mexican Academy of Computing Editor of multiple Algorithmic Foundations of Robotics (WAFR) proceedings Dr. Morales actively mentors a diverse group of graduate students who frequently appear as co-authors on his publications. His Parasol Laboratory conducts research funded through various academic and industrial collaborations, including significant projects with manufacturing partners exploring collaborative assembly systems. The laboratory has developed several notable frameworks including ARC, K-ARC, and HAS-RRT that have advanced the state of the art in multi-robot motion planning.

• Agricultural Robotics
• Automation and Control Systems
• Precision Agriculture
• +5 more

John F. Reid is a prominent Research Professor at the University of Illinois at Urbana-Champaign in the College of Engineering , with dual appointments in Computer Science and Agricultural and Biological Engineering . He serves as Executive Director of the Center for Digital Agriculture . With over 35 years of experience in academic and industrial R&D, his career spans faculty roles at UIUC (1986-2000), leadership at Deere & Company (2000-2020), and Vice President positions at Brunswick Corporation (2020-2022). Education : Ph.D. in Agricultural Engineering (Texas A&M, 1987), M.S. and B.S. in Agricultural Engineering (Virginia Tech, 1982 & 1980) Dr. Reid's research focuses on agricultural automation , machine vision , and innovation management . He has pioneered agricultural robotics , precision technologies , and embodied AI applications in food, construction, and marine systems. His work has resulted in over 30 patents in automated guidance , sensor systems , and agricultural informatics . His scientific contributions center on stereo vision navigation , 3D field mapping , and adaptive control systems for mobile equipment. These innovations underpin modern precision agriculture and agricultural robotics frameworks. Major awards include: NAE Election (2019) ASABE Fellow (2004) University Scholar (1995) Academy of Engineering Excellence (2020) He holds leadership roles in international organizations including the CIGR Working Group on Circular Bioeconomy Systems (Chair 2024-present) and Fraunhofer USA (2013-2022).

Istvan David McMasterView profile

Assistant Professor

• Digital Twins
• Model-Driven Engineering
• Sustainability
• +6 more

Istvan David is an Assistant Professor in the Department of Computing and Software at McMaster University , with research expertise spanning Digital Twins , Model-Driven Engineering , and Sustainability . His work bridges theoretical and applied domains, focusing on smart ecosystems , collaborative modeling , and AI-driven simulation . Key contributions include frameworks for digital twin evolution and interoperability in sustainable systems. Education : BSc, MSc, and PhD in Computer Engineering and Computer Science from Budapest University of Technology and Economics, and University of Antwerp. Research Areas : Digital Twins, Model-Driven Engineering, Reinforcement Learning, Smart Ecosystems, Sustainability, Collaborative Modeling, Cyber-Biophysical Systems, and Software Architecture. Recent Article Trends emphasize AI integration with digital twins, collaborative modeling in industrial contexts, and sustainable systems engineering . His work often combines machine learning with formal modeling to address challenges in technical sustainability and smart agriculture .

Arnold JaputraView profile

Associate Professor

• Consumer-brand relationships
• Consumer negative behaviours
• Dark-side of brands
• +7 more

Dr. Arnold Japutra is an Associate Professor of Marketing at Southampton Business School, University of Southampton. His research focuses on brand management, consumer behaviour, relationship marketing, and the adoption of emerging technologies such as AI, AR/VR, and robotics. Recognized among the Top 2% of Global Scientists, he has published in leading journals including the Journal of Business Research, European Journal of Marketing, International Marketing Review, Journal of International Management, Journal of Travel Research and Tourism Management. Dr. Japutra has held academic roles at the University of Western Australia and Universitas Indonesia, and has extensive experience in teaching, corporate training, and consulting for global organizations. His research interests include: Consumer-brand relationships Consumer negative behaviours Dark-side of brands Human-Robot interactions Adoption of new technologies (e.g., AI, AR, VR) Brand management (e.g., brand attachment, brand loyalty, brand equity) Technology adoption and consumer behaviour (e.g., impulsive and compulsive buying) Dr. Japutra's research sits at the intersection of branding, consumer psychology, and emerging technologies. His work examines how consumer–brand relationship factors drive both positive behaviors and negative ones such as impulsive buying, compulsive consumption, and trash-talking. He investigates how psychological traits shape consumer decision-making and has recently been exploring human-technology interactions with a focus on AI, robotics, AR, and VR. His publication pattern shows a clear evolution from traditional brand management topics toward increasingly technology-focused research, particularly examining the psychological impacts of AI and digital interfaces on consumer behavior. Dr. Japutra has received numerous prestigious awards, including: Stanford 2% Global Scientist Citation Rankings (2023, 2024) Business School Mid-Career Research Award, University of Western Australia (2023) Best Researcher Award, Faculty of Economics and Business, Universitas Indonesia (2023, 2022) Best paper at Journal of Hospitality and Tourism Management (2019) Best Researcher Award and Top Publication Award, Tarumanagara University (2016) Dr. Japutra is actively accepting PhD students and has extensive experience mentoring graduate researchers. His research has been supported by various grants though specific funding sources aren't detailed in the provided materials. He has also delivered corporate training and consulting services for numerous global organizations, bridging academic research with practical business applications.

• DNA Nanotechnology
• Molecular Robotics
• Self-Assembling Nanostructures
• +4 more

Dr. Shelley Wickham is an Associate Professor and ARC DECRA Fellow at the University of Sydney, holding joint appointments in the Schools of Chemistry and Physics. She serves as a Westpac Research Fellow and leads the DNA Nanotechnology Group at the Sydney Nano Institute. Dr. Wickham is also co-Champion of the Sydney Nano Institute Grand Challenge project in Molecular Nanorobotics for Health, co-lead of the School of Physics Grand Challenge on Nanoscale brain navigation for targeted drug delivery, and faculty mentor of the University of Sydney BIOMOD team. Bachelor of Science and Master of Science in Physics from University of Sydney PhD in Condensed Matter Physics from University of Oxford Postdoctoral Fellow at Harvard Medical School, Dana-Farber Cancer Institute, and Wyss Institute Dr. Wickham's research focuses on self-assembling nanotechnology and molecular robotics, particularly in the design and assembly of programmable nanostructures out of DNA. Her work spans applications in cell biology, materials science, and nanomedicine. Current research projects include design and synthesis of self-assembling DNA nanostructures, proto-cells made of DNA gels that move under flow, new plasma fabrication methods for biomolecule micropatterning, and DNA computation circuits for navigating the brain using machine learning. Her research aligns with the Faculty of Science Research Strengths in Molecules to Materials, Preventing and Treating Disease & Disorder, and Next Generation Materials. Analysis of Dr. Wickham's recent publications reveals a consistent focus on DNA nanotechnology with increasing sophistication in structural complexity and biological applications. Her work has evolved from fundamental DNA origami structures to increasingly complex multi-component systems with practical applications in nanomedicine and biomimetic engineering. Recent publications show strong interdisciplinary collaboration across chemistry, physics, biology, and engineering disciplines, with emphasis on real-world applications including drug delivery systems and biomolecular sensors. ARC DECRA Fellow Westpac Research Fellow BIOMOD World Champions (2019) Dr. Wickham actively mentors PhD students and postdoctoral researchers in her DNA nanotechnology group. She has secured significant research funding including ARC Discovery Projects, Westpac Scholarships, and NSW Health grants. Her current grants support projects such as '3D Bio-Nanomaterial Displays with Designer Architectures and Functions' and 'RNA aptamer sensing devices for rapid detection of blood clotting.' Dr. Wickham encourages applications from diverse backgrounds and maintains active collaborations with researchers at Harvard, Oxford, and other international institutions. Dr. Wickham leads the DNA Nanotechnology Group at the University of Sydney, which is part of the Sydney Nano Institute. Her lab focuses on building tools from DNA origami - including tweezers, spanners, wrenches and springs - to better understand biological processes at the nanoscale. The group has achieved notable success with the BIOMOD team winning world championships in 2019, and continues to develop innovative approaches to molecular robotics for healthcare applications.

• Artificial Intelligence
• Cognitive Science
• Human-Agent Interaction
• +5 more

Prof. Dr.-Ing. Stefan Kopp is a faculty member at Bielefeld University's Faculty of Engineering and serves as Research Group Leader of the Cognitive Systems and Social Interaction Group . He also holds administrative roles as Vice Dean and Deputy CITEC Coordinator . His work focuses on Artificial Intelligence , Cognitive Systems , and Socio-Technical World research areas. Research Group Leader: Cognitive Systems and Social Interaction Group Vice Dean: Faculty of Engineering Deputy Coordinator: Center for Cognitive Interaction Technology (CITEC) Project Manager: TRR 318 "Constructing Explainability" subprojects His research explores human-agent interaction , multimodal conversational agents , and social AI through projects like 39-Inf-11 Human-Machine Interaction and 39-M-Inf-VKI Virtual Humans and Conversational Agents . Publications address topics including adaptive explanation generation , gesture synthesis , and social cognition in dynamic environments. Current research topics span cooperative AI , explainable decision-making , and sensorimotor grounding in artificial systems.

Felipe ThomazView profile

Associate Professor

• Marketing Strategy
• Digital Marketing
• AI Ethics in Business
• +6 more

Felipe Thomaz is an Associate Professor of Marketing at Saïd Business School, University of Oxford, and Deputy Director of the Oxford Future of Marketing Initiative. He holds a PhD in Marketing from the University of Pittsburgh and previously taught at the University of South Carolina. His research focuses on marketing strategy, AI ethics, illicit markets, and ESG integration, with notable contributions to frameworks like Ad Net Zero for net-zero advertising emissions. He collaborates with UN agencies, NGOs, and tech companies to address global sustainability goals and wildlife trafficking networks. Education: PhD in Marketing (University of Pittsburgh), MSc in Marketing & Finance (University of Pittsburgh), BSc in Animal Sciences (University of Florida). Research interests include digital marketing channels, brand performance via social networks, AI-driven marketing strategies, and conservation science linked to wildlife trade. His work bridges academia and industry, resulting in spinouts and IP transfers from Saïd Business School. Key projects include: Ad Net Zero: Global standard for reducing advertising emissions UN collaboration on wildlife trafficking through dark web analysis UNESCO partnerships on eliminating stereotypes in advertising His interdisciplinary approach spans marketing, mathematics, and conservation science, with publications in top journals like Journal of Marketing and Conservation Science and Practice .