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Teresa J. KennedyView profile

Professor

• STEM Education
• Oceanography
• Bilingual/ELL Education
• +5 more

Dr. Teresa J. Kennedy is a Professor of STEM and Bilingual/ELL Education at The University of Texas at Tyler, holding joint appointments in the College of Education and Psychology and the College of Engineering. She teaches Oceanography, Meteorology, and pedagogy courses across multiple colleges. With nearly 40 years in education, she has extensive K-12 teaching experience and certifications in Earth Science, Social Studies, Spanish, ESL/ELL, and Bilingual Education. Her research focuses on Ocean Literacy, STEM equity, second language acquisition, and global education policy. Education: Ph.D. in Curriculum and Instruction — Bilingual Science Education, University of Idaho M.O. in Oceanography, University of Rhode Island M.A. and B.A. in Spanish Language and Literature, University of Idaho B.S. in Secondary Education, University of Idaho Research Interests: Dr. Kennedy’s work bridges STEM education, bilingualism, and global sustainability. She co-led the UNESCO IOC Ocean Decade NGO Task Group (2023–present), authored/co-authored over 55 journal articles, and secured $38M+ in grants. Her projects include climate science research aboard NOAA vessels and international collaborations through the GLOBE Program. Recent Articles: Focused on STEM education models, ocean sustainability, and phenomenon-based learning. Highlights include the Ocean Decade Manual for NGOs (2024) and Contemporary Issues in Science and Technology Education (2025). Awards: Phi Delta Kappa Outstanding Dissertation Award (1998) Fulbright Awards to Ecuador (1993), Argentina (2014–15), and Hungary (2017) Grants & Leadership: Secured $5M+ grants at UT Tyler. Founded the Office of International Programs (OIP), managing 17 international partnerships and the Intensive English Language Institute (IELI). Currently serves on UNESCO’s NGO Liaison Committee and ICASE’s Executive Committee. Labs & Collaborations: Co-directs the UT Tyler GLOBE U.S. Partnership and participates in NOAA’s GO-SHIP research cruises. Active in UNESCO’s Ocean Decade initiatives and global STEM education networks.

Shigang ChenView profile

Professor

• Computer Networks
• Data Streaming
• Internet of Things
• +4 more

Shigang Chen is a Professor in the Department of Computer & Information Science & Engineering at the University of Florida. His research focuses on intelligent computer networks, data streaming, RFID systems, IoT, and cyber-physical network security. B.S., University of Science and Technology of China (1993) M.S. and Ph.D., University of Illinois at Urbana-Champaign (1996, 1999) Research interests span network traffic measurement, RFID authentication, cyber-physical systems, and privacy-preserving protocols. His work addresses high-speed network monitoring, edge computing, and scalable IoT frameworks. Recent publications emphasize real-time spread estimation, compact data structures, and privacy in vehicular systems. Awards include IEEE Fellow, NSF CAREER, and multiple best paper recognitions. Advised: 12 PhD students, 5 Master's, 1 undergraduate Honors: IEEE Fellow (2016), ACM Distinguished Scientist (2017), University of Florida Term Professorship (2017-2020)

Kelly AldrichView profile

Professor

• Nursing Informatics
• Healthcare Interoperability
• Digital Health
• +7 more

Kelly Aldrich, DNP, MS, RN, is a Professor and Director of Informatics Innovation at Vanderbilt School of Nursing with a secondary appointment in Biomedical Informatics. Board-certified in Nursing Informatics, she brings over 35 years of expertise spanning cardiac/trauma critical care, healthcare transformation leadership, and academic innovation. Dr. Aldrich holds a Doctor of Nursing Practice and MS in Healthcare Systems Leadership/Nursing Informatics from the University of South Florida. Her research focuses on: Healthcare interoperability and trusted data architectures Virtual environments for nurse well-being (MIND Lab) Unique nurse identifiers and digital RN citizen models Clinical informatics integration in operations and education Her recent publications emphasize nursing informatics education, AI in healthcare, interoperability frameworks, and pandemic-response technologies. Publication trends show growing focus on immersive learning technologies and systemic healthcare solutions. Significant honors include: Sara K. Archer Faculty Award (2023, 2021) Fellow, American Academy of Nursing (2022) Dean's Award for Informatics Achievement (2021) HIMSS Fellow She leads industry initiatives including HHS/ONC interoperability task forces, Baxter Healthcare Digital Health advisory, and CDC Healthcare Trust Data Platforms. Dr. Aldrich founded an informatics consulting firm and serves on multiple national cybersecurity and innovation committees.

Emilie SmithView profile

Professor

• Youth Development
• Racial-Ethnic Identity
• Family Studies
• +2 more

Emilie Smith is Professor of Human Development and Family Studies at Michigan State University's College of Social Science, where she serves as Inaugural Distinguished Senior Scholar and leads the MSU Youth Equity Project. Her research examines how families, schools, and communities interact to foster positive youth development, with special focus on racial-ethnic identity and socialization in diverse socioeconomic and geographic contexts. Smith employs community-engaged randomized trials and multilevel methods to develop family and community approaches that reduce disparities. Her work spans developmental psychology, prevention science, and cross-cultural studies of resilience. Analysis of her recent publications shows strong emphasis on: (1) racial-ethnic socialization processes in minority youth development, (2) implementation science in community programs, (3) culturally responsive interventions for underserved populations, and (4) systemic approaches to health and educational equity. This body of work demonstrates interdisciplinary integration across psychology, sociology, and public health. Honors & Education Fellow, Society of Prevention Research Fellow, American Psychological Association Division 27 PhD & MA in Ecological/Community Psychology, Michigan State University BA in Psychology and Afro American Studies, Smith College

• Artificial Intelligence
• Multi-Agent Systems
• Social Network Analysis
• +5 more

Gita Reese Sukthankar is a Professor at the University of Central Florida, specializing in artificial intelligence, multi-agent systems, and social network analysis. Her work integrates machine learning, human-robot interaction, and collaborative systems to address challenges in decentralized task allocation, online community dynamics, and human-machine teaming. She has contributed to projects involving agent-based modeling, reinforcement learning, and ethical AI applications in open-source software and policy discourse moderation. Affiliations: University of Central Florida Key Research Areas: Multi-Agent Systems, Social Network Analysis, Reinforcement Learning, Human-Computer Interaction Her research explores topics such as conflict prediction in team dialogues, bot impact on GitHub workflows, and chess mastery analysis using language models. She has co-authored over 185 publications in top venues like AAAI, AAMAS, and IROS, often collaborating with researchers like Rahul Sukthankar, Katia Sycara, and Kiran Lakkaraju. Her work bridges theoretical AI advancements with practical applications in robotics, software development, and policy analysis, emphasizing ethical considerations and scalable solutions.

Graeme RuxtonView profile

Professor

• Evolutionary Ecology
• Behavioral Ecology
• Sensory Interactions Between Species
• +7 more

Professor Graeme Ruxton at the School of Biology, University of St Andrews, is a leading researcher in evolutionary ecology focusing on interspecies sensory interactions. His work spans predator-prey dynamics, plant-pollinator communication, and statistical methodology. Current positions: Professor, School of Biology Key institutions: University of St Andrews, European Commission (H2020 MSCA Fellowship SCAVENGER), BBSRC Research interests center on: Evolutionary ecology of sensory interactions Camouflage, crypsis and mimicry Signaling system stability Nonparametric statistical methodology Biophysical scaling effects Plant-animal coevolution Recent publications show: 2025 work on snake digestion strategies and zebra stripe functionality 2024 developments in statistical analysis of ecological data 2023 contributions to signaling game theory Methodological innovations from 2018-2022 Scientific recognition includes: Fellow of the Royal Society of Edinburgh (2012) Research supervision includes: 2023-2022 thesis supervision on mixed-species antipredator strategies 2022 thesis on aphid-ladybird interactions 2017 shark coloration research

Amrita PuriView profile

Associate Professor

• Neuroscience
• Visual Perception
• Cognitive Control
• +2 more

Amrita Puri is Associate Professor of Biology at University of Central Arkansas, teaching Principles of Biology, Neuroscience, and Sensation & Perception. Holds PhD in Neuroscience (UC Davis) and dual BS degrees in Biology/Chemistry (UNO). Research examines visual cognition and sensory integration. Key research areas: Crossmodal transfer between echolocation, vision and haptics Attentional mechanisms in numerical/physical size processing Anxiety effects on facial emotion perception Neural correlates of visual attention allocation Publications demonstrate strong methodological diversity, employing psychophysics, eye-tracking, fMRI, and auditory perception paradigms. Recent work explores sensory substitution mechanisms and perceptual resolution in echolocation.

K.D. JoshiView profile

Professor

• IT Workforce Issues
• Broadening Participation in STEM
• Knowledge Management
• +4 more

Dr. K.D. Joshi is a Professor of Information Systems in the College of Business at the University of Nevada, Reno. She holds a PhD in Business Administration from the University of Kentucky and advanced engineering degrees from the University of Michigan and University of Delhi. Her research focuses on IT Workforce Issues, Broadening Participation in STEM, Crowdsourcing, and Health IT, with over 5,570 citations (h-index 27). She has secured $5M+ in NSF grants and serves on editorial boards of Information Systems Journal and Journal of AIS. Education: PhD (1998, University of Kentucky), MS Engineering (1992, University of Michigan), MA (1990) and BA (1988) from University of Delhi. Research highlights include investigating IT workforce diversity, chronic disease self-management via technology, and ethical AI applications. She pioneered studies on military veteran IT career pathways and gender equity in tech careers. Her work has been featured in PBS NewsHour, Salon.com, and London School of Economics Business Review. Teaching innovations include technology courses blending technical and managerial perspectives. Active in professional leadership roles at ICIS, HICSS, and AMCIS conferences. Current projects explore AI/Blockchain convergence, generative AI in education, and mitigating algorithmic biases.

• International Trade
• Labor Economics
• Spatial Economics
• +3 more

Dr. Chen Liu is an Assistant Professor of Economics at the National University of Singapore (NUS), located at AS2 #0516, 1 Arts Link, Singapore. He holds a Ph.D. in Economics from the University of California, San Diego (2019). His research focuses on Spatial Economics, International Trade, and Labor Economics, with a particular emphasis on topics such as immigrant occupational sorting, trade policy impacts, and infrastructure development. His work often involves collaborative projects, including studies on highway impacts in India and China's export surge dynamics. Dr. Liu’s methodologies incorporate econometric analysis, spatial modeling, and satellite data applications. His research has been published in leading journals like the American Economic Journal: Macroeconomics and the Journal of International Economics. Teaching interests include International Trade and Econometrics. While no formal awards are listed, his contributions to migration and trade research have been widely cited. Collaborations with scholars like Gordon Hanson and Xiao Ma highlight his engagement in global economic debates.

Chamitha De AlwisView profile

Senior Lecturer

• AI Security
• Cybersecurity
• Network Security
• +5 more

Dr. Chamitha De Alwis is a Senior Lecturer in the School of Computer Science & Technology at the University of Bedfordshire, within the Faculty of Creative Arts, Technologies & Science. He holds a B.Sc. (First Class Honors) in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka, and a Ph.D. in Electronic Engineering from the University of Surrey, UK. He is a Senior Member of the IEEE and a Fellow of the Higher Education Academy. Research Interests: Dr. De Alwis focuses on AI Security, Cybersecurity, Network Security, 5G/6G technologies, Blockchain, and Edge Computing. His work spans cutting-edge areas such as quantum technologies for next-gen networks, smart grid security, and healthcare applications of edge computing. He has secured competitive research grants and contributes to high-impact projects in collaboration with industry and academia. Teaching Areas: Cybersecurity, Network Security, and Mobile Communication. He actively supervises PhD students in these domains, including Mr. Mohammad Ahmad, Mr. Ahmad Kanbour, and Ms. Charithri Nanayakkara. Publications: His recent work explores Edge AI, 6G architectures, blockchain in energy systems, and eHealthcare innovations. Notable trends include integrating AI with edge computing for real-time applications and addressing security challenges in 6G networks. Awards/Honors: Fellow of the Higher Education Academy (2024) Senior Member, IEEE (2021) Grants & Collaborations: Secured multiple research grants supporting projects in Edge Computing, 6G technologies, and Smart Grid applications. Engaged with interdisciplinary teams in the Institute for Research in Applicable Computing (IRAC) and the Institute for Research in Engineering and Sustainable Environment (IRESE). Labs & Teams: Affiliated with the School’s research institutes, contributing to initiatives in robotics, AI, and sustainable engineering. Involved in collaborative projects with industry partners to advance edge computing and cybersecurity solutions.

• Business Model Innovation
• Technology-Enabled Personalization
• Ecosystem Innovation
• +5 more

M.S. Krishnan is the Accenture Professor of Computer Information Systems and Professor of Technology & Operations at the University of Michigan's Ross Business School. He currently serves as faculty director for the Business+Tech initiative and CK Prahalad and India Initiatives, following his tenure as associate dean for global initiatives (2014-2021). His educational background includes: PhD in Information Systems, Carnegie Mellon University (1997) MS, Carnegie Mellon University (1993) MS in Mathematics and Computer Applications, University of Delhi (1987) BS in Mathematics and Computer Applications, University of Delhi (1984) Dr. Krishnan's research centers on business model innovation, technology-enabled personalization, and ecosystem innovation, with significant contributions to corporate IT strategy and the business value of technology investments. His work bridges software quality, productivity, and customer satisfaction in global business contexts, emphasizing co-creation and networked value generation as demonstrated in his award-winning book with C.K. Prahalad. His publication trends reveal deep engagement with digital transformation across sectors, examining CEO compensation effects on IT investments, digital twin applications in construction, and IT's impact on government efficiency. Recent work increasingly integrates AI, blockchain, and human resource practices to amplify technology returns, reflecting his interdisciplinary approach spanning information systems, strategic management, and operations. Key recognitions include: ICIS Best Dissertation Prize for software product management research ASQ's 21 Voices of Quality for the 21st century (2000) Top Business Technology Thinker by Informationweek-Optimize (2004) The Economist/BusinessWeek Best Innovation Book award (2008) He actively advises doctoral students and leads major research initiatives, with extensive consulting for Ford, IBM, Tata Group, and Infosys across the US, India, and Thailand. His grant-funded work focuses on technology strategy implementation and organizational capability development. Dr. Krishnan co-founded Ross's Business+Tech initiative to integrate technology fluency across business disciplines and directs the CK Prahalad and India Initiatives to foster academic-industry collaboration with Indian enterprises.

• Wireless Communications
• Internet of Things (IoT)
• Edge Computing
• +7 more

Zheng Chang is a Professor at the Institute of Computing Technology, School of Computer Science and Technology, University of Chinese Academy of Sciences in Beijing, China. With a PhD from the University of Jyväskylä (2013), Chang has established a prolific research career with over 240 publications spanning from 2011 to 2025. Chang maintains strong collaborative ties with researchers at the Chinese Academy of Sciences' Shenyang Institute of Automation and has developed significant international collaborations, particularly with Finnish researchers including Timo Hämäläinen. Chang's research focuses on cutting-edge areas at the intersection of wireless communications, artificial intelligence, and edge computing. Their work prominently features federated learning, UAV networks, resource allocation, and privacy-preserving techniques for IoT applications. Recent publications demonstrate a strong emphasis on vehicular edge intelligence, split learning architectures, and RIS-assisted communications. The research output shows consistent growth with 42 publications in 2024 alone, indicating an active and expanding research program. Chang's 15 most recent publications reveal a clear research trajectory toward addressing the challenges of resource-constrained edge environments through innovative learning architectures. The work spans theoretical frameworks for privacy preservation in federated learning to practical implementations for UAV networks and vehicular systems. A notable trend is the integration of AI-generated content techniques with traditional federated learning approaches to overcome data scarcity issues in edge environments. While specific awards aren't documented in the provided text, Chang's extensive publication record in top-tier IEEE journals including IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology demonstrates significant scholarly impact. The research has been widely cited, with multiple highly cited co-authors including Timo Hämäläinen (66 co-authored papers), Zhu Han (38 papers), and Geyong Min (31 papers). Chang's work shows strong practical applications across multiple domains including intelligent transportation systems, smart agriculture, healthcare IoT, and next-generation 6G networks. The research program appears well-funded through collaborations with major institutions and demonstrates clear translational potential for real-world deployment in edge computing environments.

Razvan StanicaView profile

Associate Professor

• Wireless Networking
• Cellular Networks
• Energy Efficiency
• +6 more

Razvan Stanica is an Associate Professor at the Telecommunications department of INSA Lyon and a member of the CITI laboratory and Inria Agora team. His research focuses on wireless networks, cellular architectures, energy efficiency, and mobile data analytics. He holds a PhD from the National Polytechnic Institute of Toulouse and has supervised numerous PhD and master's students in areas like vehicular networks and IoT. Education: Bachelor's and Master's from Politehnica University of Bucharest and National Polytechnic Institute of Toulouse (2008) PhD in Vehicular Networks from National Polytechnic Institute of Toulouse (2011) Research Interests: 5G/6G cellular networks, IoT, and energy-efficient designs Mobile data analytics and urban mobility modeling Vehicular networks (VANETs) and disaster communication systems Network slicing and privacy-preserving technologies Awards: Recognized as one of France's best junior researchers in computer networks (2021). His PhD was nominated for the Léopold Escande Prize (2011). Key Projects: ECOMOME (CHIST-ERA-funded project on energy consumption in cellular networks) SafeCityMap (Inria-funded pandemic mobility analysis) PEPR NAI (self-deployable mobile networks) Labs/Teams: CITI Lab and Inria Agora team at INSA Lyon, collaborating with institutions like ETS Montreal and Nokia Bell Labs.

Egidio FaloticoView profile

Assistant Professor

• Robotics
• Biorobotics
• Computational Neuroscience
• +4 more

Egidio Falotico is a Tenure Track Assistant Professor (RTD-B) at the BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy. He leads the BRAin Inspired Robotics (BRAIR) Lab and holds roles such as Principal Investigator (PI) for the PROBOSCIS project and co-leader of Sub-Project 10 (Neurorobotics) in the Human Brain Project (HBP). His research focuses on brain-inspired motor control, soft robotics, and neurorobotics, integrating computational neuroscience with robotic systems. Education: Dual PhD in Biorobotics (Scuola Superiore Sant’Anna) and Cognitive Science (University Pierre et Marie Curie). Master’s in Computer Science (University of Pisa). Research interests include control mechanisms for soft robots using AI, bio-inspired motor control, and neuroscientific principles applied to robotics. He has contributed to projects like HBP, where he developed the Neurorobotics Platform, and PROBOSCIS, aiming to create elephant-trunk-inspired robots. Teaching includes leading PhD courses on Brain-Inspired Motor Control and Robotics at the University of Pisa. He has supervised EU-funded students and managed interdisciplinary teams in neurorobotics and soft robotics. Key projects involve HBP’s Neurorobotics Platform, soft robot control (e.g., PROBOSCIS), and collaborations in sensorized systems and adaptive learning algorithms. His work bridges neuroscience, AI, and robotics to advance soft robotic systems and bio-inspired models.

FRANCISCO MANUEL FERNANDEZ RIVERAView profile

Professor

• Computer Architecture
• High-Performance Computing
• Parallel Algorithms
• +3 more

Francisco Manuel Fernández Rivera is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Faculty of Physics. His research focuses on high-performance computing, parallel algorithms, and LiDAR data analysis. He leads the ARQCOMP research group and is part of the Center for Research in Intelligent Technologies (CITIUS). His work addresses challenges in NUMA systems optimization, sparse matrix computations, and geospatial data processing. He holds a PhD from the University of Santiago de Compostela (1988), with a thesis on algorithm partitioning in hypercube computers. His research spans parallel computing frameworks, LiDAR-based infrastructure analysis, and performance modeling of distributed systems. Recent projects include developing thread migration strategies for NUMA architectures and creating tools for LiDAR data visualization and simulation. Key contributions include advancements in LiDAR-based pathfinding, energy-efficient NUMA system management, and parallelization techniques for irregular codes. His work bridges theoretical computer architecture with practical applications in urban planning and environmental monitoring.