Vittorio Solina is a Researcher at the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria, specializing in industrial systems simulation and digital twin technologies. His work spans Industry 4.0/5.0 applications, supply chain optimization, and human-robot collaboration. Affiliation: University of Calabria Academic Role: Researcher (Legge 240/10) Research Focus: Digital twins, simulation modeling, sustainable manufacturing His research emphasizes advanced simulation tools for decision support, including applications in Industry 4.0 , Smart Manufacturing , and Agri-Food Supply Chains . Recent work explores adaptive simulation optimization for Industry 5.0 and 5G-enabled robotics. Key publication trends include: (1) Digital twin integration for supply chain resilience (2024-2025), (2) Simulation automation methodologies (2025), and (3) Human-robot collaboration frameworks (2024).
Mark Lloyd serves as a Clinical Professor at the Annenberg School for Communication and Journalism, University of Southern California. His career uniquely bridges legal advocacy, civil rights leadership, and broadcast journalism, with pivotal roles including Associate General Counsel at the Federal Communications Commission (2009-2012) where he advised on inclusion and localism policies, and Vice President at the Leadership Conference on Civil Rights. His research critically examines the intersection of media systems and democratic governance, focusing on structural inequities in communication infrastructure. Key interests include: Regulatory frameworks for equitable media access Civil rights implications of digital and broadcast platforms Historical analysis of communication policy failures Public interest advocacy in telecommunications Journalistic ethics in commercial media ecosystems Constitutional challenges in modern media landscapes Lloyd received an Emmy Award for his broadcast journalism work spanning public and commercial radio/television networks including NBC and CNN. His scholarly contributions include the book Prologue to a Farce: Communication and Democracy in America (University of Illinois Press, 2007) and co-editing The Communication Crisis in America and How to Fix It (Palgrave MacMillan, 2016). No information regarding student advising, research grants, or laboratory affiliations is documented in available sources. His professional trajectory emphasizes policy intervention over traditional academic mentorship structures.
Tomas Palacios is a Professor of Electrical Engineering at the Massachusetts Institute of Technology (MIT) , where he directs the Center for Graphene Devices and 2D Systems and leads the Microsystems Technology Laboratories (MTL). His research focuses on pushing the boundaries of microelectronics through novel semiconductor materials and device architectures, including Gallium Nitride (GaN) and 2D materials like graphene and molybdenum disulfide (MoS2). Professor, MIT Electrical Engineering and Computer Science Director, MIT Center for Graphene Devices and 2D Systems Clarence J. LeBel Professor, MIT Faculty Director, Northeast Microelectronics Internship Program (NMIP) Research Interests span multiple cutting-edge domains: High-frequency electronics (>300 GHz) for 6G and quantum applications High-voltage power devices (600V–10kV) for energy conversion Post-silicon logic devices using 2D materials High-temperature electronics (e.g., Venus rover applications) Distributed neural networks on large-area 2D materials Graphene-based biosensors and chemical detection systems Scientific Contributions include: Double recipient of the IEEE George Smith Award for groundbreaking GaN transistor work Co-invented first MoS2 electronic circuits Developed world’s first Wi-Fi-to-electricity conversion antenna Led MIT’s Microsystems Technology Laboratories since 2021 Advising Philosophy emphasizes cross-layer expertise, with students gaining experience from materials synthesis to system-level prototyping. His lab has incubated startups like Vertical Horizons , focused on GaN power devices for AI and EVs.
Snježana Babić serves as Associate Professor and Head of the Graduate Study Program Informatics - Teaching Major at the Faculty of Informatics in Pula , University of Pula. With a PhD obtained in 2016 and university affiliation since 2017, she teaches across undergraduate and graduate programs focusing on ICT fundamentals, web design, digital competencies, and informatics education methodology. Her educational background includes graduation in 1993 followed by doctoral studies culminating in 2016. Though specific institutions aren't detailed in the text, her career trajectory shows progression from foundational ICT teaching to specialized informatics education leadership. Babić's research centers on educational technology adoption with particular emphasis on programming pedagogy for young learners through the MEMA method. Her work investigates digital competencies across multiple educational contexts, from primary schools to higher education. Recent publications demonstrate rapid adaptation to emerging technologies, with 2025 studies examining ChatGPT integration in Croatian educational settings and cross-cultural applications of programming methods. Analysis of her 15 most recent publications reveals consistent focus on technology acceptance models applied to Croatian educators and students. The research trajectory shows evolution from foundational e-learning systems (2016-2020) to cutting-edge AI and robotics applications (2022-2025), maintaining strong methodological focus on teacher motivation , implementation barriers , and culturally-specific adoption factors . Her teaching portfolio demonstrates deep integration with research interests: Undergraduate: ICT Fundamentals, Web Design and Application Graduate: Digital Competencies in Education, Informatics Education Methodology, Practicum for IT Educators Cross-disciplinary: ICT in Nursing, Healthcare Informatics Babić actively contributes to institutional leadership as program head while maintaining robust research productivity. Her work bridges theoretical technology adoption frameworks with practical implementation challenges in Croatian educational contexts, particularly examining how emerging technologies like humanoid robots and AI assistants can be effectively integrated into teaching practices.
Prof. Laura Leal-Taixé is a Professor at the Technical University of Munich (TUM) in the Department of Informatics, leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Assistant Professorship, promoted to W3 Associate Professorship in 2022. Her research focuses on computer vision and machine learning, particularly video analysis, multi-object tracking, and autonomous driving applications. Education: B.Sc./M.Sc. in Telecommunications Engineering (Technical University of Catalonia, UPC) Ph.D. in Information Processing (Leibniz University of Hannover, Germany) Postdoctoral Research at ETH Zürich (Switzerland) and TUM Research Interests: Laura’s work addresses challenges in video analysis, including motion analysis, semantic segmentation, and integrating social dynamics into urban traffic modeling. Her project socialMaps , funded by the Sofja Kovalevskaja Award, explores decoupling vehicle and pedestrian traffic using dynamic maps. Her research combines optimization techniques, deep learning, and sensor data for real-world applications like autonomous systems. Recent Trends: Her publications highlight advancements in multi-object tracking, 3D LiDAR segmentation, and trajectory forecasting, emphasizing neural networks and geometric approaches. Collaborations with industry and academia underscore her work’s practical impact. Awards: 2017 Sofja Kovalevskaja Award (€1.65M, Humboldt Foundation) 2017 DAAD Australia-German Joint Research Grant Travel grants from Women in CV, CVPR Doctoral Consortium, and Vodafone Foundation Labs & Projects: Leads the Dynamic Vision and Learning group at TUM, focusing on vision-based AI for autonomous systems and environmental monitoring. Active in developing datasets like DynamicEarthNet for semantic change analysis.
Hernan Galperin is a Professor of Communication and Director of Doctoral Studies at the USC Annenberg School for Communication and Journalism. His expertise lies in Internet policy, digital inequality, and the intersection of technology adoption with social stratification. He holds affiliations with institutions like the Annenberg Research Network on International Communication (ARNIC) and the USC Annenberg Innovation Lab. Galperin has authored four books and published in leading journals such as Telecommunications Policy and New Media & Society. His research, funded by organizations like the Pew Charitable Trust and the Inter-American Development Bank, focuses on broadband accessibility, digital inclusion, and policy impacts. Notable awards include membership in the World Economic Forum’s Global Future Council and top paper awards from the International Communication Association (2020, 2022). Education background: While not explicitly detailed in the provided text, his academic roles and publications imply advanced training in communication studies, public policy, or related fields. His work integrates quantitative methods with policy analysis to address global challenges in technology access. Research highlights include studies on broadband’s role in poverty reduction (Ecuador), geographic discrimination in the gig economy, and the gender digital divide in Latin America. He has contributed policy briefs on the Affordable Connectivity Program and digital inclusion in public housing, demonstrating real-world policy impact. His affiliations with global institutions reflect a focus on international collaboration in addressing digital divides. Grants and awards: His funding sources include the Pew Charitable Trust, IDRC-Canada, and the Internet Society. Awards highlight his contributions to cyberpolicy and global media governance. His work often bridges academic research with actionable policy recommendations, particularly in underserved regions. Labs and teams: He directs ARNIC and collaborates with the USC Annenberg Innovation Lab and USC Price Center for Social Innovation, fostering interdisciplinary approaches to communication and technology challenges.
Professor Andrew Murray is a leading academic in Law with expertise in New Media and Technology Law. He holds the position of Professor of Law at the LSE Law School and directs the LSE Law, Society and Technology Group. His research focuses on digital rights, AI ethics, and regulatory frameworks for emerging technologies. Murray has held roles including Fellow of the Royal Society for the Arts and advisor to the Saudi Arabian government on e-commerce law. He has advised parliamentary committees, including the House of Lords Communications Committee on digital regulation, and delivered the prestigious TMC Asser Lecture on AI and human agency. Education: LL.B. Hons from Edinburgh University (1994), followed by academic roles at Stirling University and LSE since 2000. Professional memberships include the Society of Computers and Law (SCL) and the Higher Education Academy (HEA). He has been a visiting professor at Amsterdam Law and Technology Institute and Sciences Po Paris. Research interests span cyberspace regulation, AI governance, and the intersection of technology with human rights. Key publications include Human Rights in the Digital Age (2004) and The Regulation of Cyberspace (2007). Awards include recognition as an Independent Expert in Nominet UK dispute resolution (2001–2008) and a 2024 Leibniz Prize reviewer. Advocacy includes contributions to EU e-commerce directives and UK surveillance law debates. His work emphasizes balancing innovation with legal accountability in digital spaces.
WANG Ye is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD in Information Technology from Tampere University of Technology, Finland, and has been a tenured faculty member at NUS since 2002, following his industry research role at Nokia Research Center. He is the director of the Sound and Music Computing Lab at NUS, leading cutting-edge research in AI-driven music and health technologies. PhD, Information Technology, Tampere University of Technology, Finland (2002) MSc, Telecommunications, Braunschweig University of Technology, Germany (1993) BSc, Telecommunications, South China University of Technology, China (1983) His research is centered on Sound and Music Computing for Human Health and Potential (SMC4HHP) , with a focus on eHealth, eLearning, mobile/wearable computing, and music information retrieval. His work spans AI for stroke rehabilitation, language learning through singing, singing voice synthesis, and automatic music transcription. He has pioneered systems like SLIONS (language learning via karaoke), CocoLyricist (AI co-creation for stroke recovery), and SinTechSVS (expressive singing voice synthesis). The latest articles highlight a strong trend in AI-driven music and health technologies , particularly in controllable lyric generation, singing voice synthesis, automatic pronunciation assessment, and multimodal music transcription. The research increasingly integrates large language models, explainable AI, fairness, and real-world deployment, reflecting a shift from theoretical exploration to practical, human-centered applications in healthcare and education. Dr. Wang has received numerous scientific honors, including: Best Paper Awards at ACM MM, ISMIR, IEEE ISM, and CHI First Prize, Asia Pacific Assistive, Rehabilitative, and Therapeutic Technologies Challenge (2015) Faculty Teaching Excellence Award, NUS School of Computing (2024) Top Paper Award, ACM Multimedia 2022 AI in Medicine Collaborative Grant for CocoLyricist project He has supervised over 11 PhD and 20 MComp students and is currently guiding six PhD candidates. His grants come from MOE, NRF, A*STAR, Nokia, and Smule. He has served as General Chair of ISMIR2017 and TPC Co-Chair of ICOT2017, and is on the editorial boards of IEEE Transactions on Multimedia and Journal of New Music Research. He has also developed and taught the first course on Sound and Music Computing in Singapore. Dr. Wang leads the Sound and Music Computing Lab (SMC Lab) , a multidisciplinary team exploring the synergy of music computing, AI, mobile technology, and cloud systems for health and education. The lab actively collaborates with medical institutions such as NUS Yong Loo Lin School of Medicine, Singapore General Hospital, and Harvard Medical School, and is currently working on projects in AI-supported language learning, stroke rehabilitation, and intelligent music interfaces.
Yochai Benkler is the Berkman Professor of Entrepreneurial Legal Studies at Harvard Law School and faculty co-director of the Berkman Klein Center for Internet and Society at Harvard University. He specializes in Law and Political Economy, Technology Law and Policy, Communications Law, and Access to Knowledge. His work bridges academia and activism, focusing on the intersection of technology, collaboration, and societal structures. Benkler's research emphasizes decentralized collaboration, information commons, and the impact of technology on democracy. He has advised governments and international organizations on innovation policy and telecommunications. His notable works include The Wealth of Networks (2006), which explores social production in the digital age, and Reconstructing Class Analysis (2024), co-authored with Talha Syed, which rethinks class dynamics within capitalism. He has received numerous awards, including the Oxford Internet Institute Lifetime Achievement Award (2012), Ford Foundation Visionaries Award (2011), and Electronic Frontier Foundation Pioneer Award (2007). His work is publicly accessible at benkler.org . Benkler serves on the boards of the Open Society Foundations and the Freedombox Foundation. His research spans law, political economy, and technology, addressing issues like fake news, network propaganda, and the role of the internet in governance.
Dr. Khurram Aziz is a Senior Instructor in the Faculty of Computer Science at Dalhousie University , Halifax, Canada. He is actively engaged in teaching and research, with a focus on optical networks, data center interconnects, and network performance modeling. Education: PhD in Electrical Engineering, Vienna University of Technology, Austria (2008) MSc in Electrical Engineering, National University of Singapore (2003) BSc (Hons) in Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan (1998) His research interests include optical packet and burst switched networks , optical interconnects for data centers , analytical modeling and simulation , and network routing and switching . He has contributed extensively to the design and performance evaluation of scalable optical switches and hybrid switching systems. The recent publications reflect a strong trend in data center optical networks , focusing on performance, blocking probability, signal degradation, and architectural classification. His work bridges theoretical modeling with practical simulation frameworks, such as CloudNetSim++ in OMNeT++, contributing to cloud and high-capacity network research. Dr. Aziz has no listed scientific awards in the provided text. He teaches several core computer science courses including CSCI 2141: Intro to Database Systems , CSCI 3171: Network Computing , CSCI 3132: Object Orientation and Generic Programming , and CSCI 3120: Operating Systems . There is no mention of graduate student supervision or external research grants. He has co-authored book chapters in major handbooks on data centers and switched systems. Dr. Aziz has not listed any formal lab or research team affiliations in the provided content.
CHAN Mun Choon is a Professor at the School of Computing, National University of Singapore (NUS) , where he directs the NUS-NCS Joint Laboratory for Cyber Security . He previously worked at Bell Labs (1997-2003) and holds a PhD from Columbia University (1997). His research spans systems and networking with specific interests in mobile computing, software-defined networking, and cyber-physical systems . PhD, Electrical Engineering (1997), Columbia University M.Phil., Electrical Engineering (1993), Columbia University MS, Electrical Engineering (1993), Columbia University BS, Computer & Electrical Engineering (1990), Purdue University His recent work focuses on 5G network architecture , data center fault debugging , and energy-efficient mobile sensing . He has published over 100 papers and holds 7 US patents , including cache-based compaction techniques with 210+ citations. His projects include fronthaul slicing for 5G, network-wide packet history frameworks, and participatory indoor localization. Scientific recognition includes: Best Paper Awards: IEEE ICNP 2019, ACM SOSR 2019, ICDCN 2016 Best Demo: IPSN 2016 Distinguished Member, INFOCOM TPC (2016, 2020, 2021) He serves as Vice-Dean, Graduate Studies and Vice-Dean, Academic Affairs at NUS Computing, and has graduated 21 PhD students . His lab develops solutions for network security , latency-sensitive applications , and mobile sensing .
Hamed Rahmani is an Assistant Professor of Electrical and Computer Engineering at New York University (NYU Tandon School of Engineering). He is affiliated with NYU WIRELESS and the Center for Advanced Technology in Telecommunications (CATT), leading the Research in Advanced Integrated Systems and Electronics (RAISE) Lab. His research focuses on integrated circuits and systems for biomedical applications, IoT, and 5G/6G communication. Education: Ph.D., Electrical and Computer Engineering, UCLA (2020) M.Sc., Electrical and Computer Engineering, Rice University (2017) B.Sc., Electrical Engineering, Sharif University of Technology (2014) Research Interests: RF/mm-Wave circuits, low-power biomedical sensors, energy-efficient IoT systems, and wireless power transfer. His work emphasizes miniaturized implants, smart healthcare, and sustainable electronics. Awards: Recipient of the NSF CAREER Award (2025), IEEE MTT-S Graduate Fellowship (2019), and the 2023 Best Paper Award in the Journal of Microwave. He serves on technical committees for major conferences like CICC and IMS. Labs & Groups: Directs the RAISE Lab, collaborating with NYU WIRELESS on 6G research and CATT for technology transfer.
Eduardo Araral is an Associate Professor at the Lee Kuan Yew School of Public Policy, National University of Singapore. With over 30 years of experience in academia and government, he holds a PhD in Public Policy from Indiana University-Bloomington under Nobel Laureate Elinor Ostrom. His research focuses on collective action, institutions, and water governance, with publications in Nature Human Behaviour , Public Administration Review , and World Development . He has held fellowships at Stanford University and centers associated with Coase, Ostrom, and Stigler. Research Interests : Collective action, institutional analysis, water governance, digital technologies in public policy, political economy, and socio-ecological systems. Scientific Awards : Ostrom Prize for the Governance of the Commons, Fulbright PhD Scholarship, and Presidential Award for Outstanding Overseas Filipinos. Leadership Roles : Vice Dean for Research, Assistant Dean for Academic Affairs, and Co-Director of the Institute of Water Policy (2016-2022) at LKYSPP. Global Engagement : Advised 20+ international organizations including ADB, World Bank, UNDP, and Fortune 500 companies, while lecturing to 7,000+ government officials across 50+ countries.
Wei Xiang is an Assistant Professor of Economics at the University of Michigan's Department of Economics, housed within the College of Literature, Science, and the Arts. He earned his Ph.D. in Economics from Yale University in 2024, focusing on international trade, macroeconomics, and environmental economics. His research bridges economic theory with applied analyses, addressing global trade dynamics, macroeconomic policies, and environmental sustainability. Education: Ph.D. in Economics, Yale University (2024). Research Interests: His work explores the intersection of international trade policies, macroeconomic stability, and environmental regulations. He examines how trade agreements influence economic growth and environmental outcomes, with a focus on empirical methodologies to assess policy impacts. Additionally, he investigates macroeconomic models to understand global economic fluctuations and their implications for sustainable development. Publications: His recent articles highlight contributions to vehicle communication systems, signal processing, and wireless technologies, reflecting interdisciplinary engagement with engineering applications. These include real-time prediction models for GPS errors and beamforming optimization in vehicular networks. Labs/Teams: Not explicitly stated, but his research collaborations likely involve interdisciplinary teams in economics, engineering, and environmental science.
Jae Eun Chung is a Professor in the Department of Communication Studies at Howard University's School of Communications. Her research focuses on new media technologies, their psychosocial impacts, and health communication, with a particular emphasis on community engagement and digital discourse. Ph.D. in Communication from the University of Southern California M.A. in Telecommunications from Indiana University at Bloomington Dr. Chung's work explores the intersection of social media and health, analyzing how digital platforms influence public health perceptions, patient-doctor interactions, and health equity. She has published extensively in journals like Journal of Communication , Computers in Human Behavior , and Health Communication , often employing community-based participatory research (CBPR) to address disparities in asthma care, maternal health, and HPV-associated cancer awareness. Recent publications highlight trends in leveraging social media for health interventions, examining misinformation dynamics during crises like the COVID-19 pandemic, and analyzing digital ecosystems. Her methodological approaches include network analysis, narrative studies, and assessments of digital engagement metrics. Howard University RCMI Grant: Enhancing recruitment of African-Americans and Hispanics in health research NSF HDR Grant: Collaborative research on data analytics for community enrichment PACRI Grant: Improving health outcomes for asthmatic children in public housing Bezos Earth Fund: Indoor environmental quality disparities in underserved communities Dr. Chung collaborates with interdisciplinary teams, including public health experts and data scientists, to advance health communication strategies. She has mentored students and researchers in projects analyzing social media's role in health promotion, digital privacy, and community-academic partnerships.
