Moe Z. Win is the Robert R. Taylor Professor at the Massachusetts Institute of Technology (MIT), specializing in wireless communications, optical communications, and space communications systems. His research bridges theoretical and applied domains, including quantum sensing, network localization, and signal processing. B.S.E.E., Texas A&M (1987) M.S.E.E. & Ph.D., University of Southern California (1989, 1998) Recent work focuses on quantum-enhanced positioning, machine learning for localization, and next-generation (xG) non-terrestrial networks. He leads research at the Quantum neXus Laboratory (QX Lab), Wireless Information & Network Sciences Lab, and Laboratory for Information and Decision Systems. His career spans the Jet Propulsion Laboratory (1987-1995) and AT&T Research Laboratories (1998-2002). Key methodologies include soft information fusion, variational quantum sensing, and robust beam tracking for terahertz communications.
Suhas Diggavi is a Professor in the Department of Electrical and Computer Engineering at the University of California, Los Angeles, within the Henry Samueli School of Engineering and Applied Science. His primary research area is Signals and Systems, with a strong focus on information theory and its interdisciplinary applications. His research interests span Information Theory , Machine Learning , Differential Privacy , Federated Learning , Cyber-Physical Systems , and Bio-informatics . He investigates fundamental limits and practical algorithms for secure, efficient, and robust data processing in distributed and networked environments. The recent publications highlight a strong trend in privacy-preserving machine learning, particularly in the shuffled model of differential privacy , communication-efficient distributed SGD , and robust optimization . His work bridges theoretical information-theoretic foundations with real-world applications in federated learning, wireless networks, and genomic data analysis. Notable scientific awards include: Guggenheim Foundation Fellow (2021) ACM CCS Best Paper Award (2021) IEEE Fellow (2013) IEEE Donald G. Fink Prize Paper Award (2006) Multiple Google, Amazon, and Facebook Research Awards Suhas Diggavi actively advises graduate students and leads a research group focused on learning, information, and optimization. His work is supported by major industry grants and collaborations, particularly in privacy and distributed learning. He has made significant contributions to information-theoretic models in bio-sequencing and wireless security. He leads the LIOS (Learning, Information, Optimization, and Stochastic Systems) research group at UCLA, where his team develops theoretical frameworks and practical algorithms for next-generation data-driven systems.
Jon Simon is the Joan Reinhart Professor and Professor of Applied Physics at Stanford University . He leads the Simon Lab , which explores the convergence of condensed matter physics , quantum optics , and quantum information science , focusing on creating synthetic materials from light and investigating topological and strongly correlated quantum systems. His research spans constructing photonic materials in quantum circuits, studying small quantum systems with strong correlations, and applying Hamiltonian engineering to realize exotic states of matter. The lab has achieved milestones like the first Mott insulator of photons and topologically insulating circuits . Collaborative projects with the Schuster Lab leverage superconducting quantum circuits for synthetic matter studies. Jon's students include Adam Shaw (PhD, now at Stony Brook) Lavanya Taneja (PhD, now at Atom Computing) Ruichao Ma (Postdoc, now faculty at Purdue) among others. The lab's recent publications focus on cavity arrays, hybrid quantum systems, and topological photonics. Research is supported by grants and affiliations with Stanford's Department of Applied Physics and interdisciplinary institutes.
Bernard (Ben) Arps is Professor of Indonesian and Javanese Language and Culture at Leiden University's Institute for Area Studies within the Faculty of Humanities. His research focuses on the interface of humanities and humanistic social sciences, particularly examining how language, performance, texts, and media contribute to 'worldmaking' - the processes through which people and institutions shape realities for themselves and others. Geographically centered on Southeast Asia with a core focus on Indonesia and the Malay world, Arps specializes in Java and its diasporas. His scholarly interests include religious encounters (particularly between Islam and local vernacular traditions), philological theory as applied to performance and new media, narrativity in song and audio media, and the theoretical foundations of area studies. Arps has conducted extensive fieldwork in Indonesia since 1979, totaling over four years, primarily in Central and Eastern Java regions including Surakarta, Yogyakarta, Banyuwangi, and Cilacap. His current book projects explore the Quest narrative pattern across religious traditions (focusing on Dewa Ruci), the sociopolitical formation of languages through media and performance (using Osing in Banyuwangi as a case study), and the Asian Muslim epic of Amir Hamza. Arps teaches primarily in Leiden's BA programme in South and Southeast Asian Studies, BA in International Studies, and MA programme in Asian Studies. Former chair of the Department of Languages and Cultures of Southeast Asia and Oceania (1995, 1999/2000, 2003-2006, 2008) Previously taught at School of Oriental and African Studies, University of London (1988-1993) Held visiting positions at NIAS (2001/02), ANU (2005), University of Michigan (2006/07), NUS/ARI (2011/12), UNS (2017), and IIAS (2018/19) Arps has supervised doctoral, Master's, and Bachelor's dissertations across Indonesian, Malay, Singapore, Cambodian, and Thai studies, with particular expertise in Javanese, Sundanese, Betawi, Balinese, Sasak, Mentawai, and Minangkabau cultures and languages. His work spans religion, performance, media, literature, sociolinguistics, lexicography, and education.
Dr. Ana Radulovic is a researcher at the University of Singidunum, Serbia, with expertise in leadership, organizational behavior, and management. She earned her PhD in Management from Aston Business School, UK, focusing on relational leadership and the impact of leader-follower relationships on outcomes. Her academic journey includes two master's degrees—one in Management from the Faculty of Organizational Sciences, University of Belgrade, and another in Postmodern English Literature from the Faculty of Philology, University of Belgrade—as well as undergraduate studies in English language and literature at the Faculty of Philology and management studies at Indiana University of Pennsylvania. PhD: Management, Leadership (Aston Business School, UK, 2012–2016) Master's: Management (University of Belgrade, 2010–2012) Master's: Postmodern English Literature (University of Belgrade, 2010–2011) Undergraduate: English language and literature (University of Belgrade, 2006–2010); Management (Indiana University of Pennsylvania, 2008–2009) Her research interests center on Leadership , with a focus on relational dynamics, interdependence theory, and quantitative/experimental methodologies. She explores how social media, crises, and virtual environments influence leadership effectiveness and organizational sustainability. Dr. Radulovic has received numerous scholarships and awards, including multiple Fund for Young Talents scholarships, a full scholarship for her doctoral studies at Aston University, a US government scholarship for Indiana University, and recognition for TESOL curriculum design and academic achievement. She has also contributed to the field through grants like the US Government Grant for Sustainable Development Program implementation. Scholarship from the Fund for Young Talents (2009/2010, 2012/2013, 2013/2014, 2014/2015) Full scholarship for doctoral studies (Aston University, 2012–2015) US government scholarship (Indiana University, 2008/2009) Ministry of Education, Science and Technological Development scholarship (2007/2008, 2010/2011) Best curriculum design award in TESOL (2009) Dean's Award for Academic Achievement (2008/2009) US Government Grant for Sustainable Development Program (2010) ERSTE Bank 'Club 27 Superstars' finalist (2011) Her work spans theoretical and applied research, with publications on topics like forgiveness in leader-member exchange relationships, servant leadership for sustainability, and charismatic leadership during crises. She has also participated in international conferences, presenting on leadership dynamics in virtual teams and social media integration.
Ian Goldberg is a Professor at the Cheriton School of Computer Science , University of Waterloo, Canada. He holds the Canada Research Chair in Privacy Enhancing Technologies and leads the Cryptography, Security, and Privacy (CrySP) group . He is affiliated with the Cybersecurity and Privacy Institute and the Institute for Quantum Computing . Research Focus: Security, privacy, and privacy-enhancing technologies (PETs) for the Internet, including Off-the-Record (OTR) Messaging , censorship resistance , private information retrieval , and zero-knowledge proofs . Recent Publications: His work addresses metadata protection , deniable authentication , and secure multi-party computation , with applications to anonymous communication and censorship resistance. Scientific Awards: Canada Research Chair in Privacy Enhancing Technologies Students: He advises current and former PhD/Master’s students in projects like Lox , PRSONA , Walkie-Talkie , and SkypeMorph . Notable advisees include Sajin Sasy (Privacy-Preserving Communications), Justin Tracey (PETs Development), and Tao Wang (Website Fingerprinting Defenses). Labs & Teams: Goldberg is a core member of the CrySP group and contributes to the Tor Project and Off-the-Record Messaging open-source initiatives. His research bridges theoretical and applied cryptography, with deployments in real-world systems like Tor and PIR protocols.
Diane E. Austin is a Professor and Director of the School of Anthropology at the University of Arizona. She also serves as a Research Anthropologist at the Bureau of Applied Research in Anthropology (BARA). Her work focuses on environmental anthropology, particularly community dynamics in industrial and environmental contexts, with a strong emphasis on social justice and collaborative research. She has over 25 years of experience leading interdisciplinary projects in the U.S., Mexico, and Gulf Coast regions. Austin's research spans diverse areas including Native American communities, U.S.-Mexico border sustainability, Gulf Coast oil industry impacts, and urban food systems in arid regions. She has pioneered long-term partnerships with tribal organizations, federal agencies, and community groups, earning recognition such as the University Distinguished Outreach Professor (2008) and Distinguished Director (2023). Her recent work highlights longitudinal studies on the Deepwater Horizon oil spill's social effects, binational environmental initiatives in Nogales, and community-based approaches to disaster resilience. She coordinates BARA's internship and post-baccalaureate programs, supporting hundreds of students in applied anthropological research. Awards: Partners in Conservation Award (2010), Border Research Partnership Award Finalist (2012) Leadership Roles: Chair of the Good Neighbor Environmental Board, Member of the Gulf Research Program Advisory Board Key Projects: Southern Paiute cultural preservation, Gulf Coast oil industry studies, Nogales reforestation initiatives Austin’s teaching includes courses on ethnographic methods, data analysis, and mixed-methods research. She actively engages in policy advocacy, contributing expert testimony in legal proceedings related to environmental disasters and labor rights.
Min Yen Kan is an Associate Professor and Vice Dean of Undergraduate Studies at the National University of Singapore's School of Computing, Department of Computer Science. With a PhD from Columbia University (2002), he leads the Web Information Retrieval / Natural Language Processing Group (WING.NUS) and serves as ACL Ethics Committee co-chair. His research spans Natural Language Processing , Large Language Models , Digital Libraries , and Information Retrieval , with specific focus on scientific discourse analysis, fact verification, and multimodal systems. Current projects include Scholarly Document Information Extraction (TRL 6), Task-Oriented Dialogue Systems (TRL 4), and Recommendation Systems (TRL 5). Recent publications reveal strong trends in LLM limitations (bias, hallucination, evaluation), conversational recommendation systems , and misinformation detection . His work consistently bridges theoretical NLP with real-world applications in digital libraries and scientific communication. Award highlights include: CIKM 2019 Best Paper Award ACL Distinguished Service Awards Vannevar Bush Best Paper Award (JCDL 2012) ACM Distinguished Speaker designation Kan mentors PhD students with placements at Google and USTC, and serves as associate editor for Information Retrieval and survey editor for Journal of AI Research . His lab WING.NUS develops practical tools like SciWING for scientific document processing and FANG for fake news detection. Media engagements include commentary on AI regulations in Southeast Asia and workforce implications in the AI era.
Dai Zhongxiang is an Assistant Professor and Presidential Young Fellow at the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHKSZ), where he joined in August 2024. Previously, he was a Postdoctoral Associate at MIT's Laboratory for Information and Decision Systems (January-June 2024) and a Postdoctoral Fellow at the National University of Singapore's Department of Computer Science (April 2021-December 2023). He completed his Ph.D. in Artificial Intelligence at NUS under the supervision of Bryan Kian Hsiang Low and Patrick Jaillet. Dr. Dai's research focuses on the intersection of theoretical and practical AI, with particular emphasis on large language models (LLMs) and optimization techniques. His work spans both theoretical foundations of multi-armed bandits and Bayesian optimization, as well as practical applications in LLM inference, including prompt optimization, in-context learning, personalization of LLMs, LLM-based agents, and scaling up test-time computation of LLMs. His research approach often bridges theoretical principles with real-world applications, particularly in AI4Science problems. His recent publications demonstrate a clear trend toward advancing LLM capabilities through optimization techniques, with increasing focus on practical deployment challenges. The research spans both theoretical contributions to optimization theory and applied work on enhancing LLM performance in real-world scenarios. His work on dueling bandits, neural bandits, and zeroth-order optimization has been consistently published in top-tier venues including NeurIPS, ICML, ICLR, and ACL. Presidential Young Fellow, CUHKSZ (2024) Dean's Graduate Research Excellence Award, NUS (2021) Research Achievement Award × 2, NUS (2019 & 2020) Singapore-MIT Alliance Graduate Fellowship (2017) Dr. Dai actively mentors multiple Ph.D. students and research assistants, with several of his students' papers accepted to top conferences. His research has received significant attention, with invitations to serve as Area Chair for NeurIPS 2025 and ICLR 2025, reflecting his growing influence in the machine learning community. His work bridges theoretical machine learning with practical applications in large-scale AI systems.
Jillian Bohlen is an Associate Professor at the University of Georgia within the College of Agricultural & Environmental Sciences , specifically the Department of Animal and Dairy Science . Her work focuses on dairy cattle reproduction, teaching, and youth development in agricultural sciences. Education: B.S. in Dairy Science, University of Georgia (2003) M.S. in Dairy Science, University of Georgia (2005) Ph.D. in Animal Sciences, Clemson University (2012) Dr. Bohlen's research emphasizes applied reproduction in cattle , including synchronization techniques, ultrasound applications in reproductive programs, and embryo competency. She integrates students into all research projects despite lacking a formal research appointment. Her teaching interests span dairy cattle production , reproductive management , and contemporary agricultural issues , with courses like ADSC 3620 (Dairy Cattle Production), ADSC 4010 (Issues in Animal Agriculture), and ADSC 4410 (Applied Reproductive Management). Scientific awards include: Student Career Success Influencer Award (2024) Russell Award for Excellence in Undergraduate Teaching (2023) UGA Creative Teaching Award (2022) CAES Early Career Teaching Award (2022) Hoard's Dairyman Youth Development Award (2021) Larry Benyshek Teaching Award (2017) She actively promotes agricultural education through programs like the Commercial Heifer Project , Dairy Cattle Judging , and Dairy Quiz Bowl . Additionally, she participates in funded projects related to methane emissions , heat stress mitigation , and antibiotic alternatives in dairy farming.
Maria José Lisboa Brites de Azeredo is an Associate Professor with Habilitation at Lusófona University, Portugal. She serves as Vice-President of the Centre for Research in Applied Communication, Culture and New Technologies (CICANT) and coordinates the Media Literacy and Civic Cultures Lab (MeLCi Lab). She holds leadership roles in the Portuguese Association for Communication (SOPCOM) and the European Communication Research and Education Association (ECREA). Her academic career spans over two decades, including roles at institutions like Universidade Lusófona do Porto and Universidade Nova de Lisboa. Her education includes a PhD and Habilitation in Communication Sciences from Universidade Nova de Lisboa. She has completed specialized courses in digital education, intercultural dialogue, and pedagogical training from institutions like the University of Edinburgh and the Knight Center for Journalism in the Americas. Brites’ research focuses on youth journalism, audience studies, digital citizenship, and participatory methodologies. She has led projects such as the YouNDigital study (PTDC/COM-OUT/0243/2021) and the SMaRT-EU initiative. Her work has been recognized with awards including the Research Prize (2017, 2020, 2023) and the Gold Medal of Academic Value (2019). She coordinates the Master's Degree in Media and Information Literacy and Digital Citizenship at Lusófona University and has trained educators through initiatives like the Media in Action (MIA) project. Her publications span peer-reviewed journals, edited books, and conference proceedings addressing media literacy, generational media practices, and civic engagement.
Amy Bruckman is a Regents’ Professor and Senior Associate Chair in the School of Interactive Computing at Georgia Institute of Technology. As a Fellow of The ACM and member of the SIGCHI Academy , she contributes to social computing research focusing on online collaboration, cross-cultural understanding, and content moderation. Her 2022 book "Should You Believe Wikipedia? Online Communities and the Construction of Knowledge" explores digital knowledge creation. Education: Ph.D. from MIT Media Lab (1997), B.A. in Physics from Harvard (1987) Research Affiliations: GVU Center, IRI People and Technology Her work addresses social computing challenges including: AI ethics in human-AI interaction Algorithmic bias in content moderation Epistemic justice in online communities Comparative platform analysis (Reddit, Discord, TikTok) Grassroots technology movements Recent publications examine: AI support tools for online counseling Community-driven research frameworks Racial bias mitigation in toxic language detection Designing teachable social media experiences Human trafficking intervention ethics Scientific recognition includes: ACM Fellowship SIGCHI Academy membership She has contributed to: Georgia Tech's Computing Education initiatives Research ethics frameworks for Human-Computer Interaction
Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .
Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .
David B. MacDonald is a full Professor of Political Science at the University of Guelph's Department of Political Science, housed within the College of Social & Applied Human Sciences. He holds an honorary academic position at the University of Auckland and previously taught at the University of Otago and ESCP Business School in Paris. His research focuses on Indigenous-settler relations, genocide studies, decolonization, and comparative politics in Canada, New Zealand, Australia, and the U.S. He has held significant grants from the Social Sciences and Humanities Research Council (SSHRC), including principal investigator roles on projects like 'Complex Sovereignties' and 'Bi-Nationalism as Reconciliation.' Education: PhD in International Relations from the London School of Economics (2001). Key publications include The Sleeping Giant Awakens (2019) and co-authored textbooks like Comparative Politics (2020). He is North American series editor for Palgrave Macmillan's Global Political Sociology. Research interests emphasize settler colonialism, Indigenous sovereignty, and truth and reconciliation processes. He has contributed to policy discussions, including advising the Canadian Senate on the National Council for Reconciliation. His work bridges academic scholarship with activism, aiming to address systemic inequalities and promote Indigenous rights. SSHRC Grants: Over $200k in grants since 2008, focusing on Indigenous self-determination and colonialism. Publications: 4 sole-authored books; 31 refereed articles; numerous edited volumes. Awards: Shortlisted for the John McMenemy Prize (2013, 2017).
