جست‌وجوی استاد و پژوهشگر

• Computational Neuroscience
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Raul Vicente Zafra is a Professor of Data Science at the University of Tartu, Faculty of Science and Technology, Institute of Computer Science, where he has been working since 2013. His research spans computational neuroscience, artificial intelligence, and data science, with a particular focus on bridging biological and artificial models of intelligence. Education: PhD in Physics (2001-2006), University of the Balearic Islands BSc in Physics (1997-2001) Professor Zafra's research interests center on computational neuroscience and artificial intelligence, with specific expertise in brain-computer interfaces, reinforcement learning, neural modeling, and explainable AI. His work bridges the gap between biological and artificial intelligence systems, exploring how neural principles can inform machine learning algorithms and vice versa. He has made significant contributions to understanding neural coherence, time interval learning in neural systems, and the application of information theory to brain-computer interfaces. His research often involves interdisciplinary collaboration between computer science, neuroscience, and medicine. Analysis of Zafra's recent publications reveals a strong focus on the intersection of artificial intelligence and neuroscience. His work spans explainable AI methods, brain-computer interfaces, reinforcement learning models that mimic cognitive processes, and neurophysiological studies of brain activity. A notable trend is his exploration of how biological principles of neural computation can inform and improve artificial intelligence systems, particularly in areas like time-based learning, consciousness modeling, and neural coherence. Scientific Awards: 2012: Attendee at the 62nd Lindau Nobel Laureate Meeting 2007: Quantum Electronics and Optics Division Prize of the European Physical Society for the best PhD Thesis in Applied Optics in Europe 2006: PhD Extraordinary Award of the Physics Department of the University of the Balearic Islands 2001: Physics Degree Extraordinary Award (First Class Honors, best GPA) 1997: Bronze Medal in the "8th Spanish Physics Olympiad" Professor Zafra has been principal investigator on numerous significant research projects including the Estonian Centre of Excellence in Artificial Intelligence, Cardiovascular Stress Impacts On Neuronal Function, and Bridging biological and artificial models of vision. His grant portfolio demonstrates strong funding support from the Estonian Research Council, European Commission, and other major funding bodies. He has supervised multiple PhD students and mentored early-career researchers in computational neuroscience and AI. His laboratory work focuses on developing computational models of neural systems and applying these insights to artificial intelligence. Current research directions include explainable AI methods, brain-computer interfaces, modeling of consciousness and cognitive processes, and the application of AI to healthcare challenges.

David Allcockمشاهده پروفایل

استادیار

• Ion trapping
• Quantum computing
• Hybrid quantum systems
• +۳ مورد دیگر

David Allcock is an Assistant Professor in the Department of Physics at the University of Oregon, part of the College of Arts and Sciences. His research focuses on ion trapping, quantum computing, and hybrid quantum systems, with an emphasis on manipulating atomic and molecular systems using electric and magnetic fields for quantum information applications. He leads the Ion Trapping Lab at UO, where he develops scalable quantum technologies and open-source control systems like ARTIQ and Sinara. His work bridges experimental physics with engineering, addressing challenges in qubit control, error mitigation, and large-scale quantum computer design. Education: MPhys from the University of Oxford (2007), D.Phil. in Physics from Oxford (2012). Prior to UO, he was a Lindemann Fellow at the National Institute of Standards and Technology (NIST) in Boulder, CO. His research includes innovations in trapped-ion qubit control, including laser-free entangling gates, scalable architectures, and applications in quantum sensing and dark matter detection. Key research themes include metastable qubit systems, photon scattering error mitigation, and the integration of superconducting detectors for state readout. He collaborates on open-source hardware-software stacks for quantum experiments and mentors students in quantum engineering through programs like the Quantum Technology Master’s Internship. Current projects explore hybrid quantum-classical interfaces and ultra-stable ion trap fabrication. His lab’s contributions span theoretical and experimental domains, with recent advances in geometric phase gates, microwave-driven control, and error-resilient qubit operations. The group also engages in interdisciplinary work linking quantum computing with precision measurement, such as SPUD (SPectroscopy for Ultralight Dark matter) and bosonic sensing tools.

Jaime Cardenasمشاهده پروفایل

استادیار

• nanophotonics
• integrated photonics
• nonlinear photonics
• +۵ مورد دیگر

Jaime Cardenas serves as an Assistant Professor at The Institute of Optics and holds a joint appointment as Assistant Professor of Physics at the University of Rochester. He joined the faculty in July 2016 after earning his Ph.D. in Optical Science and Engineering from the University of Alabama in Huntsville and gaining industry experience as a process engineer followed by research at the Cornell Nanophotonics Group. His educational background includes: Ph.D. in Optical Science and Engineering, University of Alabama in Huntsville Professor Cardenas' research centers on integrated photonics, nanophotonics, and nonlinear photonics, with current projects targeting photonic packaging, 2D materials integration, nonlinear optical phenomena, and on-chip quantum photonics. His group develops nanostructured photonic devices that manipulate light within chip-scale platforms, enabling applications in precision sensing, communications, and quantum technologies. This work bridges fundamental optical physics with practical engineering solutions for real-world implementation. Analysis of his recent publications reveals dominant themes in chip-scale photonic systems, particularly advancements in silicon nitride and lithium niobate platforms. Key research trajectories include weak-value amplification for ultra-precise optical gyroscopes, adiabatic frequency conversion in microring resonators, photonic packaging innovations via laser fusion splicing, and multispectral imaging sensor development. His work consistently emphasizes translating theoretical concepts into manufacturable integrated photonic devices with applications spanning navigation systems, spectroscopy, and quantum information processing. Professor Cardenas leads the Cardenas Lab, which specializes in creating photonic devices that fit on the tip of a needle. The lab's research portfolio spans from fundamental nonlinear optical phenomena to applied educational initiatives, including hands-on photonic kits designed to train the next generation of integrated photonics engineers. Current projects focus on developing robust, manufacturable photonic systems for industrial and defense applications while maintaining strong connections to quantum photonics research.

Didar Zowghiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence Ethics
• Data Quality Management
• Requirements Engineering
• +۴ مورد دیگر

Didar Zowghi is a Senior Principal Research Scientist and Science Team Leader at CSIRO Data61, Australia's national science agency. His work focuses on advancing ethical AI systems, data quality frameworks, and requirements engineering methodologies. He leads research initiatives addressing challenges in AI governance, diversity/inclusion in technology, and human-centered AI development. Research interests include AI ethics, data completeness in healthcare systems, and the application of machine learning in requirements engineering. His contributions span theoretical frameworks for responsible AI patterns, empirical studies on user perceptions of AI tools like M365 Copilot, and analysis of AI's role in global diplomatic practices. Zowghi has published extensively on topics ranging from blockchain in supply chains to pedagogical innovations in software engineering education. His work often bridges technical systems and societal impacts, emphasizing real-world implementation challenges through collaborative industry-academia projects. Notable outputs include the Responsible AI Pattern Catalogue and studies examining barriers to data quality in IoT platforms. He has pioneered frameworks linking innovation initiatives to occupational skill requirements and developed tools like Elica for dynamic requirements knowledge extraction in agile teams.

Julia Cramerمشاهده پروفایل

استادیار

• Quantum Science
• Quantum Technology
• Science Communication
• +۷ مورد دیگر

Julia Cramer is an Assistant Professor in the Department of Science Communication and Society at the Institute of Biology Leiden (IBL), Leiden University, with a joint affiliation at the Leiden Institute of Physics (LION). Her research focuses on the intersection of quantum science and technology with society, particularly through the lens of science communication, public engagement, and societal readiness. She leads the Quantum and Society research group and is actively involved in national and European initiatives on the Ethical, Legal, and Societal Aspects (ELSA) of quantum technology. PhD in Applied Physics, Delft University of Technology Member of the Dutch Physics Association (NNV) Co-founder of Women in Quantum Development (WIQD) Chair of the Young Academy Leiden (from 2023) Former member of the CBS communicatie-adviesraad Member of the Physics Scientific Advisory Board of the Lorentz Center Julia Cramer's research interests lie at the intersection of quantum technology and society. She investigates how quantum science is communicated to the public, how societal groups perceive quantum technologies, and how to foster inclusive and responsible innovation. Her work emphasizes broadening youth participation in STEM and enhancing diversity in quantum fields. She is passionate about making quantum accessible to non-expert audiences and ensuring that technological development aligns with societal values. Her recent publications reflect a strong trend in science communication, public perception, and societal integration of quantum technologies. Themes include measuring public attitudes, designing effective outreach interventions, promoting diversity, and addressing ethical implications. The research combines qualitative and quantitative methods to assess communication strategies and societal impacts. Casimir Prize (during PhD) Recognized as one of the Faces of Science by KNAW Julia Cramer supervises several PhD candidates and is involved in mentoring early-career researchers. She has led initiatives such as the Women in Quantum Development (WIQD) and contributes to national science policy through advisory roles. Her research is supported by collaborations with Quantum Delta NL and other European networks focused on responsible quantum innovation. She leads the Quantum and Society research group, which focuses on content analysis of quantum communication, developing attitude measurement tools, and evaluating the impact of public engagement interventions. The group collaborates with physicists, social scientists, educators, and policymakers to ensure a multidisciplinary approach to quantum-society integration.

Elisa Riedoمشاهده پروفایل

استاد

• Experimental nanoscience
• Graphene
• Diamene and 2D materials
• +۱۱ مورد دیگر

Elisa Riedo is a tenured Professor of Chemical and Biomolecular Engineering at New York University (NYU) Tandon School of Engineering, with joint appointments as Professor of Physics in NYU’s College of Arts and Science and as affiliated Professor of Mechanical Engineering at Tandon. She serves as Director of Faculty Development at NYU Tandon and has held prior tenured positions at Georgia Tech (2003–2015) and CUNY ASRC (2015–2018). Her academic career spans over two decades, with a Ph.D. in Physics from the University of Milano (2000) and postdoctoral work at EPFL. Her research focuses on nanotechnology , graphene and 2D materials , and thermal scanning probe lithography (tSPL) , with applications in biomedical diagnostics quantum electronics electromagnetic interference shielding mechanical reinforcement of materials She pioneered tSPL for sustainable nanofabrication and discovered diamene—a single-layer diamond structure from graphene under pressure. Her recent work involves transparent infrared electrodes using silver nanowires (2025) and self-organized graphene stacking domains for quantum technologies (2024). She has secured major grants from National Science Foundation , Department of Defense , and Army Research Office . Scientific honors include: 2023 NYU Tandon Excellence in Research Award 2013 American Physical Society Fellow 2005 CREA Innovation Award Membership in the Academy of Europe (2023) She contributes to editorial boards for journals like 2D Materials and Applications and advises companies such as Mirimus Inc. and SwissLitho AG .

Lea Hannolaمشاهده پروفایل

پژوهشگر

• Digital Twins
• Sustainable Manufacturing
• Industry 5.0
• +۳ مورد دیگر

Lea Hannola is a researcher at the LUT School of Engineering Sciences (Lappeenranta–Lahti University of Technology LUT) focusing on digital twins, sustainable manufacturing, and Industry 5.0. Her work bridges technological innovation with eco-conscious business practices. Academic Rank: Researcher Contact: Lea.Hannola@lut.fi Hannola's research emphasizes digital twin applications for sustainability, including circular manufacturing, smart energy systems, and human-centric industrial design. She explores competencies required for Industry 5.0 adoption, workforce empowerment through digital tools, and integration of environmental and data-driven strategies in manufacturing. Her publications span topics like smart building management , quantum computing challenges , and supply chain sustainability , with a recurring focus on simulation, interoperability, and lifecycle value creation. Key trends include AI-driven sustainability, green HRM, and digital ecosystems. As a scholar, Hannola contributes to advancing digitally extended product-service systems and addressing sociotechnical challenges in industrial digitalization. Her work impacts manufacturing competitiveness, energy efficiency, and organizational transformation.

Angela Kellyمشاهده پروفایل

استاد

• Equity in STEM Education
• Quantum Information Science and Technology (QIST) Education
• Reformed Teaching Practices in Undergraduate Science
• +۳ مورد دیگر

Angela Kelly is a Professor of Physics and Science Education at Stony Brook University and serves as Associate Director of the Institute for STEM Education. She leads the MAT Physics Program, which ranks among the top U.S. producers of physics teachers. Dr. Kelly holds a Ph.D. in Science Education from Teachers College, Columbia University (2006), and has received awards including the SUNY Chancellor’s Excellence in Teaching Award (2015-2016). Her research focuses on equity in STEM education, quantum information science (QIST) outreach, and reformed teaching practices. Current NSF-funded projects include QuEST (Quantum Education for Students and Teachers) and the International Year of Quantum (IYQ) Conferences, advancing QIST education for underserved populations. She also investigates online laboratory learning efficacy, particularly following the pandemic's shift to remote instruction. Dr. Kelly’s work bridges university and K-12 education, collaborating with institutions like Brookhaven National Laboratory. Her initiatives, such as the MAT Physics Program’s PhysTEC 5+ Award (2023), highlight her commitment to teacher preparation. Research outcomes include over 200 high school students and 70 teachers engaged in QIST outreach programs. Grants total $2M, emphasizing equity in STEM access and diversifying the QIST workforce. Education : Ph.D. in Science Education, Teachers College, Columbia University (2006) Grants : NSF DRL 2148467 (QuEST), NSF DRL-2414742 (IYQ Conferences), NSF DUE-2142587 (Online Labs) Awards : SUNY Chancellor’s Award (2015-16), Provost’s Faculty Recognition Award (2010) Her research explores sociocognitive influences on STEM participation and addresses systemic barriers through innovative programs. The IYQ Conferences (2025) aim to replicate QIST education models nationwide.

Thomas Cheatham IIIمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Dynamics
• Biomolecular Simulation
• +۴ مورد دیگر

Thomas Cheatham III is a Professor of Medicinal Chemistry in the College of Pharmacy and Adjunct Professor of Biomedical Engineering at the University of Utah, specializing in computational biomolecular simulation methodologies. His work bridges theoretical chemistry and biological applications through advanced molecular dynamics techniques. Education: B.A., Middlebury College Ph.D., University of California, San Francisco Research Focus: Dr. Cheatham pioneers molecular dynamics and free energy simulation methods (AMBER/CHARMM) for proteins, nucleic acids, and lipids. His group addresses critical challenges in environmental dependence of nucleic acid structure (ion/hydration effects on DNA), conformational transition pathways (e.g., B-DNA/Z-DNA junctions), and macromolecular flexibility beyond static experimental structures. Recent innovations target force field refinement for modified nucleic acids and polarizable models. Publication Trends: Analysis of his 2023-2025 publications reveals three dominant themes: (1) Nucleic acid force field optimization (60% of recent work), particularly RNA/DNA parameterization; (2) Development of simulation infrastructure including FAIR data principles and AmberTools; (3) Application-driven studies of therapeutic targets like Bcr-Abl inhibitors. His work increasingly integrates polarizable force fields and high-performance computing. Research Infrastructure: He leads the AMBER biomolecular simulation software development effort and maintains an active laboratory focused on methodological innovation. His group collaborates extensively with experimentalists to validate computational predictions and provides open-source tools (PTRAJ/CPPTRAJ) used globally. Current initiatives emphasize reproducibility through standardized simulation protocols and data sharing frameworks.

• Semantic technologies
• Ontology engineering
• Internet of Things
• +۱۰ مورد دیگر

Professor Trina Myers serves as the Head of School for the School of Information Technology at Deakin University's Faculty of Science Engineering and Built Environment. With extensive experience in academia and research leadership, she plays a pivotal role in shaping IT education and research directions at Deakin. She is also an active member of the Australian Council of Deans of ICT (ACDICT), having served as its immediate past President. Her educational background includes: Doctor of Philosophy in Computer Science from James Cook University Master of Business Administration from James Cook University Master of Information Technology from James Cook University Professor Myers' research focuses on semantic technologies, ontology engineering, Internet of Things, knowledge management, natural language processing, and human-computer interaction . Her work emphasizes interdisciplinary collaboration, bridging technology with fields such as healthcare, marine science, environmental conservation, and business. She has pioneered approaches in academagogy (academic gamification) to enhance online learning engagement, particularly for adult learners. Her IoT research has significant applications in healthcare space optimization, environmental monitoring, and resource management. Her recent publications demonstrate a strong trajectory in applying AI and IoT technologies to solve real-world problems, particularly in healthcare, education, and resource optimization. There's a clear pattern of interdisciplinary work connecting computer science with healthcare, education, and environmental science. Her research increasingly focuses on human-centered technology design, especially for vulnerable populations like adolescents with autism spectrum disorder. Her notable achievements include: Fellow of the Australian Computer Society (2023) Australian Awards for University Teaching (AAUT) Teaching Award (2020) Women in IT Professional Leadership Award Finalist (2020) Asia-Pacific International Triple E Entrepreneurial Educator of the Year Award (1st runner-up, 2020) Australian Computer Society, National Digital Disruptor ICT Educator of the Year (2019) Professor Myers actively supervises doctoral students across diverse research areas including gamification in language learning, brain tumor analysis using deep learning, AI in higher education, AI for refugee resilience, data integrity in edge environments, and quantum-driven satellite networking. She has secured significant research funding, including a recent grant for "Indiginizing ICT Curriculum: A Starter Framework for the Community of Practice" through the Australian Council of Deans of ICT. Her teaching philosophy emphasizes active learning methodologies, Process Oriented Guided Inquiry Learning (POGIL), blended learning, and collective intelligence approaches.

Thuy T. Leمشاهده پروفایل

استاد

• Digital System Design
• Computer Architecture
• Hardware Accelerators
• +۶ مورد دیگر

Thuy T. Le is a Professor of Electrical Engineering at San Jose State University's College of Engineering. With a distinguished career spanning several decades, he teaches graduate and undergraduate courses in digital system design, computer architecture, microprocessor systems, and related fields. His academic journey began with earning B.S., M.S., and Ph.D. degrees from the University of California, Berkeley. Professor Le's research interests encompass a broad spectrum of cutting-edge technological domains. His primary focus areas include System-on-Chip (SoC) and Embedded System Design, Hardware Accelerators for complex algorithms, Quantum Computing, implementation of Probability theory and Monte Carlo simulation, and radiation effects on electronic devices and systems. His work bridges traditional electrical engineering with emerging computational paradigms, demonstrating a consistent ability to adapt to evolving technological landscapes while maintaining strong foundations in core engineering principles. Analysis of Professor Le's publication record reveals a consistent trajectory from nuclear reactor physics and computational methods toward modern hardware acceleration and quantum computing. His early work focused on nuclear reactor simulation and radiation shielding, then evolved to parallel computing and distributed systems, and has recently centered on hardware acceleration for complex algorithms, quantum computing applications, and AI hardware. This progression demonstrates his ability to transition between major technological paradigms while maintaining expertise in computational methods and hardware implementation. Professor Le has demonstrated significant leadership in professional service, having served as keynote speaker, general chair, technical program chair, session chair, reviewer, and committee member for numerous international conferences. His service extends beyond academia through his role as Co-Founder and Advisor of the Vietnamese Strategic Ventures Network and Chairman of the Board of the United States–Vietnam Foundation. In his educational role, Professor Le has made substantial contributions to engineering curriculum development and assessment. He has taught a wide range of courses including EE271 (Advanced Digital System Design), EE210, EE250, and various project/thesis courses. His research advising spans digital system design, ASIC, SOC, and hardware accelerators. He has also collaborated with local companies on projects related to high-performance system architectures, parallel algorithms, digital arithmetic, and System-on-Chip verification.

Wayne G. Luttersمشاهده پروفایل

استاد

• Computer-Supported Cooperative Work (CSCW)
• Social Informatics
• Social Computing
• +۹ مورد دیگر

Wayne G. Lutters is a Professor and Associate Dean for Faculty in the College of Information Studies (INFO) at the University of Maryland. He holds office in Patuxent 1109C and can be reached at lutters@umd.edu. His research focuses on sociotechnical systems, computer-supported cooperative work (CSCW), and social informatics, with emphasis on IT-mediated infrastructural work and cybersecurity advocacy. Current projects include studies on scientific cyberinfrastructure, usable privacy and security, and moderation in social media. Dr. Lutters advises the Dean’s Student Advisory Council and explores topics like data privacy, sociotechnical cybersecurity, and the future of work. His recent work addresses challenges in security awareness programs, code set redundancy in healthcare, and collaborative systems design. He is actively involved in developing tools like the Value Set Hub to improve healthcare data curation practices. His research consistently bridges theory and practice, emphasizing ethical technology design and interdisciplinary collaboration. Notable contributions include frameworks for cybersecurity advocacy roles and methodologies for synthesizing scholarly knowledge. While currently not accepting new PhD students, he remains a key figure in shaping academic and infrastructural innovation at UMD.

• Quantum Science and Technology
• Condensed Matter Experiment
• Superconductivity
• +۴ مورد دیگر

Kasra Sardashti is an Assistant Professor of Physics at the University of Maryland and Principal Investigator at the Laboratory for Physical Sciences. He holds a Ph.D. in Materials Science and Engineering from UC San Diego (2016), and previously served as Assistant Professor of Physics & ECE at Clemson University. His research focuses on hybrid superconductor-semiconductor systems for quantum information processing, sensing, and communication through the Laboratory for Band Engineering of Quantum Systems (LaBEQs). Key research areas include band engineering at superconductor-normal material interfaces, advanced materials growth, nanofabrication, and low-temperature physics. His work is supported by NSF, DOE, AFOSR, and DARPA. He has pioneered voltage-tunable superconducting devices and hybrid quantum systems, with applications in classical-quantum processors and sensors. Notable contributions include studies on niobium-germanium interfaces and epitaxial superconducting heterostructures. Education: Ph.D. in Materials Science & Engineering, UC San Diego (2016) Previous Roles: Research Scientist, Center for Quantum Phenomena, NYU He received the 2021 ORAU Powe Junior Faculty Enhancement Award. His lab actively recruits postdocs, graduate students (Physics/Chemistry/Engineering), and undergraduates. Recent milestones include the 2024 Summer Internship Program and graduating an M.S. student. LaBEQs emphasizes interdisciplinary collaboration, integrating materials science, quantum engineering, and cryogenics. Ongoing projects explore low-loss materials for superconducting electronics and piezo-acoustic quantum transduction in complex oxide heterostructures.

Richard Silberglittمشاهده پروفایل

استاد

• Emerging Technologies
• Science, Technology, and Innovation Policy
• Energy Security
• +۱۷ مورد دیگر

Richard Silberglitt is a Senior Physical Scientist at RAND and Professor of Policy Analysis at the RAND School of Public Policy, where he conducts interdisciplinary research at the nexus of science, technology, and public policy. With over 50 years of experience across academia, government, and industry, he is a leading expert in technology foresight, energy systems, and R&D portfolio management. His research focuses on emerging technologies , science and innovation policy , energy security , and nanotechnology . He has developed influential methodologies such as an energy scenario analysis framework and the PortMan portfolio management system, both widely applied in U.S. and international contexts. His work supports strategic planning in defense, public safety, and economic development. His recent publications reflect a strong trend toward technology foresight , critical materials supply chains , quantum technology assessment , and public sector innovation . These works often employ scenario planning, Delphi methods, and data-driven analytics to inform high-stakes policy decisions. Member, American Physical Society Member, Materials Research Society Member, American Ceramic Society As a subject matter expert, Silberglitt has advised the United Nations, U.S. Department of Defense, National Security Agency, and multiple federal agencies. He has chaired the International Advisory Board of the APEC Center for Technology Foresight and delivered testimony to U.S. Congressional committees on critical materials and technology policy. His research has been supported by grants and contracts from the U.S. Army, Navy, CDC, and National Institute of Justice. He has led major initiatives on law enforcement technology, transportation safety ( The Road to Zero ), and international technology foresight. His work often involves collaborative teams and cross-sector partnerships to address complex technological and policy challenges.

Avi Goldfarbمشاهده پروفایل

استاد

• Digital Economics
• Economics of Artificial Intelligence
• Information and Communications Technology
• +۴ مورد دیگر

Avi Goldfarb is Professor of Marketing at the Joseph L. Rotman School of Management, University of Toronto, where he holds the Rotman Chair in Artificial Intelligence and Healthcare. He serves as Chief Data Scientist at the Creative Destruction Lab and Research Associate at the National Bureau of Economic Research (NBER). His academic career spans 2002-2012 as Assistant and Associate Professor, becoming Professor of Marketing in 2012. Rotman Chair in Artificial Intelligence and Healthcare (2018-present) Professor of Marketing (2012-present) Research Associate, NBER (2014-present) Chief Data Scientist, Creative Destruction Lab (2015-present) Research Interests : Specializing in digital economics and the economics of artificial intelligence, his work bridges technology, marketing, and public policy. Key focus areas include: Digital economics and platform behavior AI adoption in healthcare systems Quantum computing economic implications Privacy regulation and data markets AI's impact on labor and inequality General purpose technology frameworks Publication Trends : His recent work spans AI implementation strategies across industries, digital behavior economics, and emerging technology commercialization. Key subfields include AI adoption patterns, digital privacy frameworks, quantum computing applications, and workplace health safety analytics. Scientific Recognition : INFORMS Society of Marketing Science Long Term Impact Award (2018) Roger Martin Award for Excellence in Teaching (2017) Leadership Roles : Former Senior Editor at Marketing Science (2016-2021), with editorial board memberships at Management Science, Journal of Marketing Research, and Journal of Economics and Management Strategy. He contributes to the Acceleration Consortium and Schwartz Reisman Institute for Technology and Society.