Akshat is an Assistant Professor at the University of Georgia’s Terry College of Business. He received an MBA from the Indian Institute of Technology at New Delhi and a PhD in information systems from the Kelley School of Business, Indiana University. His research uses methodologies such as experimentation, econometrics, and machine learning to examine unintended changes in individuals’ reactions and subsequent outcomes emerging from their interaction with intelligent systems (e.g., artificial intelligence) and information technologies (ITs). His work has been accepted for publication in MIS Quarterly and Journal of Management Information Systems and has also been presented at several premier conferences including the Conference on Information Systems and Technology, the Annual INFORMS Meeting, and the Neuro IS Retreat 2020.

Dr. Daehwan Ahn is an Assistant Professor in the Department of Financial Planning, Housing and Consumer Economics at the University of Georgia. He received his PhD and MS in Business Administration, specializing in Management Information Systems, from Seoul National University, and completed postdoctoral research at The Wharton School of the University of Pennsylvania under the mentorship of Dr. Kartik Hosanagar.

Dr. Ahn’s research explores the intersection of technology, management, and human behavior, with a particular focus on human–AI interaction and collaboration. His work addresses the design, development, and societal impact of artificial intelligence, including efforts to create fair and responsible AI systems in human resource management and to understand how AI shapes the future of work and virtual workplaces.

My research integrates nanotechnology, spectroscopy, and artificial intelligence to advance sensor technologies. We leverage machine learning and deep learning to analyze complex spectroscopic data, particularly in surface-enhanced Raman spectroscopy (SERS), and apply inverse design methods to uncover structure–property relationships in nanomaterials. These approaches support applications in virus detection, gas sensing, and environmental monitoring. I also co-developed SpectraGuru, an open-source platform for AI-assisted spectral analysis, and is actively exploring the use of smartphone and AI to enhance STEM education.

My primary area of research is language variation and change, focusing on structural phenomena in the Romance Languages. More generally, I investigate the forces that shape language use and the subsequent effect that these forces have on how language evolves. Starting with my doctoral dissertation, Cross-dialectal features of the Spanish Present Perfect: A Typological Analysis of Form and Function (Ohio State, 2006), I have focused on the dichotomy between forms of past reference (i.e. periphrastic vs. simple past) in Romance Languages, a widely discussed topic that had nonetheless received sparse attention in the literature on structural and semantic (i.e. meaning) change. Considered in the aggregate, my work in this area has argued for a revised view of periphrastic past constructions that takes into account the behavior and evolution of these forms in and outside of the Romance family. Building on my original fieldwork conducted in Spain and Peru, I have continued to explore the broader implications of my claims, especially their potential to inform general theories concerning the nature of linguistic change.

Dr. Bharadwaj studies the effects of marketing strategies on firm performance, societal outcomes, and societal harm using econometrics, deep learning, and machine learning techniques. He also uses these techniques to develop measures from firms' textual legal filings. He is particularly interested in the impact of GenAI on marketing practices and employment.    His research topics include:

• Generative AI and marketing capabilities
• AI and marketing employment
• Marketing and the Financial Interface
• Climate marketing strategies
• Sustainability, new products and growth
• Shareholderism and Stakeholderism
• Marketing Communication and Healthcare Prevention
• Marketing capture and Societal Harm

Bruno Kanieski da Silva is an Assistant Professor at the University of Georgia, specializing in Forest Finance. He holds a Ph.D. in Forest Economics and an M.A. in Economics from North Carolina State University, as well as an M.S. in Forestry from the University of São Paulo, Brazil. His research interests include forest finance and economics, timber markets, and advanced modeling techniques. Dr. Silva has extensive experience in both academia and industry. He has worked as a Forest Economist on multiple projects in the US and Latin America, where he developed timber supply models, price and finance models to analyze timber markets and forest economics. His expertise in quantitative modeling has been instrumental in developing innovative solutions for forest finance and management. In addition to his academic and professional achievements, Dr. Silva is passionate about outdoor sports, skateboarding, surfing and enjoys reading in his free time.

Dr. WenZhan Song is Georgia Power Mickey A. Brown Professor in Computer Engineering and Founding Director of the Center for Cyber-Physical Systems (CCPS) at the University of Georgia. He directs the SensorWeb Research Laboratory with the research focus on sensor data analytics and security, sensor networks and data infrastructures. Dr. Song’s lab invented a series of non-invasive sensing technology for the health and security monitoring of humans, animals, machines, and infrastructures, driven by the convergence of AI, data science, and advanced sensing and networking technologies. His research topics include:

• Theory: Sensor Signal Processing and Artificial Intelligence, Distributed Computing and Networking
• System: Cyber-physical Systems, Sensor Networks, Web3 Data Infrastructure
• Application: Health, Energy, Security and Environment Monitoring

 The Sensorweb Research Lab is currently recruiting, we encourage interested students to reach out about opportunities. 

Education:

• PhD, Computer Science, Illinois Institute of Technology
• BS and MS, Computer Engineering, Nanjing University of Science and Technology

Personal Website:

Sensorweb Research Laboratory: https://sensorweb.engr.uga.edu