Sharese King is the Neubauer Family Assistant Professor of Linguistics at the University of Chicago, where she has taught since 2018. She earned her Ph.D. and Master's in Linguistics from Stanford University, focusing on language variation across African American communities. Her research bridges sociolinguistics, critical race theory, and phonetics to examine how African American speech is constructed, racialized, and socially evaluated. Education: Ph.D., Linguistics, Stanford University (2018) M.A., Linguistics, Stanford University Research Interests: Sociolinguistics Language Variation & Change African American Language Critical Race Theory Phonetic and experimental analysis Dialect and judicial systems Notable Contributions: Interdisciplinary studies on raciolinguistics and courtroom bias Analysis of /s/ articulation in intersectional contexts Reconceptualization of AAVE as AAL to emphasize linguistic diversity Fieldwork in Bakersfield, Rochester, and Chicago Publications in American Speech , Journal of Sociolinguistics , Language , and Nature Scientific Awards: Provost's Postdoctoral Fellowship Neubauer Family Assistant Professorship Labs & Projects: Co-founder of the Chicagoland Language Project
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.
Professor Nancy W. Y. Law is a leading scholar in Learning Sciences and Technology at the University of Hong Kong's Faculty of Education . She has served as Founding Director of the Centre for Information Technology in Education (CITE) (1998-2013) and currently holds the Chair of Learning Sciences and Technology . Her career spans over 25 years of international comparative studies, policy analysis, and large-scale educational innovation. Current roles: Associate Dean (Strategic Development), HKU Key affiliations: Sciences of Learning Strategic Research Theme (co-convener) Research Expertise Her work focuses on technology-enhanced learning , digital literacy , knowledge building communities , and multilevel educational change . She pioneered network models of teacher innovation and socio-technical frameworks for sustainable pedagogical transformation, particularly in STEM education and Cyberbullying prevention . Scientific Leadership With over 25 major research grants (2000-2023) exceeding HK$50 million, she leads projects like: Learning and Assessment for Digital Citizenship Jockey Club Self-directed Learning in STEM Design-Aware Learning Analytics A Fellow of the International Society of Learning Sciences and recipient of the HKSAR Humanities and Social Sciences Prestigious Fellowship , she has supervised numerous international comparative studies including SITES 2006, ICILS 2013, and longitudinal digital citizenship research (2019-2021).
Swiss Federal Institute of Technology in LausanneSwitzerland
Elisa Ricci is a Full Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento and serves as Head of the Research Unit Deep Visual Learning at Fondazione Bruno Kessler. She coordinates the Doctoral Program in Information Engineering and Computer Science at the University of Trento and holds prestigious fellowships from ELLIS and IAPR. Her research focuses on advancing computer vision and deep learning systems capable of operating in open-world environments. Key interests include domain adaptation, continual learning, and self-supervised learning for visual and multi-modal data processing. Her work addresses critical challenges in enabling machines to adapt to new domains without forgetting prior knowledge, with applications spanning robotics perception, medical imaging, and privacy-preserving AI systems. Recent publications reveal a dominant trend toward leveraging vision-language models for open-vocabulary tasks, training-free adaptation methods, and federated learning architectures. Significant research thrusts include machine unlearning for privacy, robustness against bias in visual classifiers, and novel class discovery using foundation models—particularly evident in 2025 publications addressing medical imaging, 3D segmentation, and collaborative generative systems. Her major recognitions include: ELLIS Fellow IAPR Fellow As Doctoral Program Coordinator at the University of Trento, she oversees PhD training while leading the Deep Visual Learning unit at Fondazione Bruno Kessler. Her research group secures competitive grants in AI-driven perception systems, though specific funding sources aren't detailed in the source material. The Deep Visual Learning Research Unit specializes in open-world computer vision challenges, developing frameworks for domain adaptation, continual learning, and multi-modal perception. Current projects integrate generative models with robotics applications while addressing privacy concerns in vision-language systems through unlearning techniques.
Dr. Chandranath Adak is an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Patna (IIT Patna), and concurrently serves as a Visiting Fellow at the School of Computer Science, University of Technology Sydney (UTS), Australia. He holds a Ph.D. in Analytics from UTS (2019) and previously served as an Assistant Professor at Indian Institute of Information Technology Lucknow (IIITL) and the Centre for Data Science at JIS Institute of Advanced Studies, Kolkata. Education: Ph.D. (Analytics), University of Technology Sydney (2019) M.Tech., Computer Science and Engineering, University of Kalyani (2014) B.Tech., Computer Science and Engineering, West Bengal University of Technology (2012) Research Interests: His work spans Computer Vision, Deep Learning, Reinforcement Learning, Document Image Analysis, and AI-driven solutions for healthcare, forensics, and industrial automation. He has pioneered methods in biomarker detection using electrochemical sensors combined with ML models, handwriting analysis for educational and forensic applications, and anomaly detection in industrial systems. His research bridges theoretical advances with real-world applications, such as medical diagnostics and quality control systems. Publications: His recent work includes innovations in biosensor-based medical diagnostics, handwriting evaluation systems, and transformer networks for historical document analysis. These contributions reflect a focus on interdisciplinary applications of AI across healthcare, cultural heritage preservation, and industrial automation. Awards: Start-up Research Grant, SERB, India (2022) Dr. Kalam Doctoral Scholarship, UTS (2018) IEEE CIS Graduate Student Research Grant (2017) Senior Member, IEEE (2024) Teaching & Supervision: Taught courses at UTS including 'Introduction to Data Analytics' and supervised research in machine learning and computer vision. His mentorship emphasizes hands-on experience with AI tools and real-world problem-solving. Labs & Teams: Engaged in collaborative projects at UTS's CIBCI Centre and Griffith University's IIIS, focusing on computational intelligence and sensor-driven AI systems.
Dr. Jennifer Cearns is an Associate Professor in AI at the University of Manchester and a Visiting Professor at KU Leuven . Previously, she held roles as an ESRC Postdoctoral Fellow and Lecturer in Digital Anthropology at University College London , an Associate Postdoctoral Fellow at the Alan Turing Institute , and a Leach Fellow in Public Anthropology at the Royal Anthropological Institute . Her work bridges digital anthropology and AI , focusing on culturally-constructed empathy and the reproduction of norms in algorithmic systems. PhD in Anthropology (University College London, 2016-2020) Languages : English, Portuguese, Spanish (Latin American) Her research spans Artificial Intelligence , Algorithms , and Data Practices , with ethnographic fieldwork in Brazil, Cuba, the US, Guyana, Panama, Mexico, Spain, and the UK. Current projects explore the ethics of AI in mental healthcare, transnational digital networks , and contraband economies in Latin America. Recent publications analyze cultural norms in AI , transnational exchange , and digital piracy , with a focus on Latin America. Her 2023 monograph Circulating Culture (University Press of Florida) examines postsocialist networks and contraband economies. Nominated for Association of Latina and Latino Anthropologists First Book Prize Nominated for Society for Latin American & Caribbean Anthropology Book Prize Finalist, BBC New Generation Thinker Award She collaborates with institutions like UCL's Centre for Digital Anthropology and KU Leuven, and has advised the technology industry for over a decade. Her ORCID identifier is 0000-0001-6498-1766.
Bettina Migge is a Full Professor in the School of Languages, Cultures and Linguistics at University College Dublin, where she has been a faculty member since 2004. She previously held academic positions at Goethe University Frankfurt and earned her PhD in Linguistics from The Ohio State University. She served as Head of School from 2016 to 2021 and has held leadership roles in research centers and committees, including the Royal Irish Academy and the Society for Pidgin and Creole Linguistics, of which she is President until 2023. She is Co-Editor of the Journal of Pidgin and Creole Languages and actively contributes to COST Action LITHME, focusing on language and technology. Her educational background includes studies at Universität Hamburg, Université de Cameroun, Freie Universität Berlin, and The Ohio State University, culminating in a PhD focused on African languages in creole genesis, with fieldwork in Suriname and Benin. She is fluent in Dutch, English, French, German, and Ndyuka/Pamaka. Bettina Migge's research centers on sociolinguistics, language contact, and creole languages, with a focus on multilingual contexts undergoing rapid social change such as urbanization and migration. Her work spans French Guiana, Suriname, and Ireland, examining structural and socio-pragmatic aspects of language use, linguistic landscaping, and computer-mediated communication. She has led significant projects like the trilingual DicoNenge(e) dictionary and has explored the role of AI in reshaping language practices. Her recent publications reflect a critical engagement with the impact of AI and machine learning on language, revealing colonial continuities in language technologies and questioning dataist ideologies. She investigates how language is materially produced in both colonial and digital contexts, emphasizing power, authenticity, and control. She has received research funding from the National Science Foundation (USA), IRCHSS, IRC, Ulysses grants, and French research units like SeDyL. Her collaborative projects include work on complementation in creoles, South Dublin English, and language practices in multilingual border zones. Bettina Migge supervises MA and PhD students in sociolinguistics, linguistic landscaping, and World Englishes. She is involved in numerous editorial and professional associations, including the Society for Caribbean Linguistics and The Global Council on Anthropological Linguistics. She has coordinated modules such as World Englishes, Sociolinguistics, and Research in Creole Languages. She leads and participates in public engagement activities, including workshops on AI in linguistics, multilingualism in Ireland, and dictionary launches. Her research team includes collaborators from Europe and beyond, and she is committed to participatory and ethnographically grounded approaches in language documentation and analysis.
Dr. Feng Cheng is a Senior Researcher and head of the IT Security Engineering (Sec-Eng) Team at the Hasso Plattner Institute (HPI), Germany, and serves as the Representative of the Chair "Internet Technologies and Systems" at the Digital Engineering Faculty, University of Potsdam. He holds a PhD from the University of Potsdam, an MEng from Beijing University of Technology, and a BEng from Beijing University of Aeronautics and Astronautics. His research is centered on data-driven security engineering, security analytics, network security, cloud security, firewall, IDS/IPS, attack modeling, and penetration testing. Dr. Cheng's research interests span a broad range of cybersecurity domains, with a strong emphasis on security analytics , data-driven threat detection , cloud and network security , and authentication . His work integrates advanced data engineering and machine learning techniques to enhance security operations, including intrusion detection, threat intelligence, and security information and event management (SIEM). Key application areas include IoT security, mobile security, and web security. The recent publications of Dr. Cheng and his team reflect a significant trend towards leveraging big data analytics , machine learning , and graph-based methods for cybersecurity. Their work focuses on developing frameworks for blockchain-based public key infrastructures, advanced SIEM analytics, malware detection using NLP, and chaos engineering for cloud security. This demonstrates a strong commitment to creating practical, scalable, and intelligent solutions for modern security challenges in complex, distributed environments. Dr. Cheng is actively involved in the academic community as a member of ACM and IEEE, a program committee member for numerous international conferences, and an organizer of workshops on cloud computing and cybersecurity. He has also served on editorial boards for international journals. He supervises a large group of PhD, master's, and bachelor's students, guiding research on topics such as security analytics, cyber threat intelligence, digital credentials, and behavioral authentication. He leads the Sec-Eng team, which conducts research on a diverse portfolio including the Security Analytics Lab, HPI-VDB (vulnerability database), Lock-Keeper (physical separation technology), and the Security Lab Generator for scenario-driven security training.
Professor Helena Sanson is a Full Professor of Italian, History of Linguistics, and Women's Studies at the University of Cambridge , where she is also a Fellow of Clare College and serves as Postgraduate Teaching and Examining Officer for the Italian Section. She joined Cambridge in 2005 after teaching at University College London (1998-2003) following her British Academy Postdoctoral Fellowship. PhD from University of Reading (2002) Her interdisciplinary research focuses on the intersection of Italian linguistic history , literary culture , and gender studies from the Renaissance to post-Unification period. Particular emphasis includes women's contributions to linguistic thought , conduct literature analysis , and female roles in translation networks . Her work examines how women navigated language standardization, educational access, and literary production across social strata. Recent projects include Leverhulme-funded research on women's linguistic experiences in 18th-19th century Italy and co-edited volumes on transnational travelers' accounts and early modern female education . She founded the Women and Gender in Italy (1500-1900) book series and the journal Women Language Literature in Italy . Scientific awards include: British Academy Postdoctoral Fellowship Leverhulme Research Fellowship Philip Leverhulme Prize CRASSH Early Career Fellowship Isaac Newton Trust grant Senior Visiting Fellowship at University of Bologna She supervises graduate research in topics spanning women's writing , linguistic thought , translation history , and cultural marginalization in 16th-20th century Italy. Her work bridges philology, literary criticism, and social history through rigorous textual analysis.
Max Planck Institute of Colloids and InterfacesGermany
Dr. Emilio Ferrara is a Professor of Computer Science & Communication at the University of Southern California, holding appointments in the Viterbi School of Engineering, Annenberg School for Communication and Journalism, and Keck School of Medicine. He serves as Associate Director of Applied Data Science at USC, Research Team Leader at the USC Information Sciences Institute, and Principal Investigator at the USC/ISI Machine Intelligence and Data Science (MINDS) group. His educational background includes a PhD in Machine Learning and BSc & MSc in Computer Science. Ferrara's research focuses on the intersection of artificial intelligence and computational social science, specifically using AI to model and predict human behavior in techno-social systems. His work spans social networks, machine learning, and network science with applications to understanding communication dynamics in digital environments. Ferrara has published over 150 articles in prestigious venues including Proceedings of the National Academy of Sciences, Communications of the ACM, and Physical Review Letters. His research has been widely featured in major news outlets and examines topics ranging from social media manipulation to AI ethics and online behavior. His scientific achievements have been recognized with numerous awards: 2019 Viterbi Scientific Award 2018 DARPA Director's Fellowship 2016 DARPA Young Faculty Award 2016 Complex Systems Society Junior Scientific Award 2015 IBM Watson Big Data Influencer Ferrara's research is supported by major funding agencies including DARPA, IARPA, Air Force, and Office of Naval Research. He leads the HUMANS LAB (Humans & Machines + Networks & Social Systems) which has trained numerous PhD students who have gone on to successful careers in academia and industry. His work on social bots, election integrity, and AI ethics continues to shape understanding of digital social dynamics.
Cangbai Wang is a Professor of Migration, Heritage and Language at the University of Westminster and co-founder of HOMELandS (Hub On Migration, Exile, Languages and Spaces). He holds a PhD in Asian Studies from the University of Hong Kong (2003) and previously worked as a Post-doctoral Fellow/Honorary Assistant Professor at the University of Hong Kong and Visiting Lecturer at City University of Hong Kong. Academic focus: Transnational migration, Chinese diasporas, cultural heritage Co-Director of HOMELandS since 2014 (elevated to Research Centre in 2023) External Examiner for 20 institutions including University of Birmingham (2024), University of Cambridge (2020), and Nanyang Technological University (2024) His research explores the intersection of migration and material culture , emphasizing how diasporic communities negotiate identity through heritage practices. Recent work examines museum representations of Chinese diasporas and language dynamics in multicultural London. He has led the AHRC-funded Global Diasporic Chinese Museums Network Initiative (2023-2025) and contributed to policy discussions on diaspora engagement with Chinese municipal governments. Key publication: Museum Representations of Chinese Diasporas (Routledge 2021) and Negotiating Identities, Language and Migration in Global London (Multilingual Matters 2024). Supervised PhDs include Denise Kwan’s The talking of objects: migratory experiences and Chinese women in UK (2020) and Xiao Ma’s ongoing London Chinatown: heritage making and diasporic identities . Active in academic leadership: Co-editor: Routledge Research on Museums and Heritage in Asia Editorial board: Social Transformations in Chinese Societies (since 2024) International editorial board: Chinese Overseas Review (since 2020) UKRI FLF Peer Review College member
Dr. Kanchana Thilakarathna is a Senior Lecturer in Distributed Computing at the University of Sydney's School of Computer Science, and a member of the Centre for Distributed and High Performance Computing. They hold a PhD from the University of New South Wales (UNSW) and a B.Sc. Eng (Hons) from the University of Moratuwa, Sri Lanka. Prior to academia, they worked as a Research Scientist at CSIRO/Data61 and had industry experience as a Mobile Radio Network Engineer. Research Interests : Dr. Thilakarathna focuses on cybersecurity, privacy in mobile and IoT systems, mixed reality privacy, and distributed computing platforms. Their work emphasizes user-centric solutions like the Yalut social media app, which enables decentralized data sharing. Key themes include privacy-preserving techniques, edge computing, and secure federated learning frameworks. Recent Work : Recent articles (2023–2025) explore machine unlearning for large language models, federated learning security, and IoT network slicing using P4 programmability. Their work on synthetic video traffic generation (VideoTrain++) and drone detection (DronePrint) demonstrates cross-disciplinary innovation. Awards : Malcolm Chaikin Prize (2015), Meta Research Awards (2020/2022), and Heidelberg Laureate Fellowship (2019). Grants : ARC Research Hub for Future Digital Manufacturing (2024), NSW Defence Innovation Network Projects (2024/2021), and Facebook Research Awards (2022/2020). Students : Advising 4 current PhD students on topics like wireless trust establishment and machine unlearning. Labs/Teams : Part of the Centre for Distributed and High Performance Computing and Sydney Nano Institute.
Stephen Spector is a Professor of English at Stony Brook University since 1972, with a PhD from Yale University (1973). His work bridges medieval literature, religious studies, and language history. He has held visiting positions at the Hebrew University (Jerusalem, 1996–97) and fellowships at the National Humanities Center and Wesleyan University. His research focuses on medieval English literature, particularly mystery plays and biblical texts, alongside modern topics like Christian Zionism and the Ethiopian Jewish rescue operation (Operation Solomon). He has authored influential books such as Evangelicals and Israel (2009), which won the London Book Festival Prize, and Operation Solomon (2005), honored with the JDC-Herbert Katzki Award. Education: B.A. in English and Psychology from Penn State University (1968), M.Phil. and Ph.D. from Yale University (1973). He has taught courses ranging from the history of the English language to medieval literature and the Bible as literature. Research highlights include pioneering studies on anti-Semitism in medieval mystery plays, textual editing of the N-Town Play, and modern analyses of religious-political intersections. His recent work explores biblical prophecy’s influence on US foreign policy and contemporary grammar usage guides. Awards include the Van Courtlandt Elliott Prize (1980) for medieval scholarship, National Endowment for the Humanities grants, and SUNY Research Foundation fellowships. He has also contributed op-eds on topics like Sarah Palin’s religious influences and Israel-Evangelical relations. Grants and fellowships span decades, including directing NEH summer seminars on Jewish presence in early English literature (1993, 1996). His work often integrates historical methodologies with contemporary cultural analysis. Labs/Teams: Not explicitly listed, but his research collaborations are evident in co-edited volumes like The Olde Daunce (1991) and contributions to interdisciplinary projects like the Early English Text Society.
Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.
Janice McGregor is an Associate Professor of German Studies at the University of Arizona, affiliated with the College of Humanities and the Interdisciplinary PhD program in Second Language Acquisition and Teaching (SLAT). She holds a PhD in German Applied Linguistics from Penn State and previously served as Assistant Professor of German at Kansas State University (2012–2018). Her research focuses on three core areas: ideologies in language learning/teaching, discourses around intercultural learning in study abroad, and reflexive qualitative research methods in applied linguistics. She emphasizes the importance of examining social interactions and authentic language use patterns across communities. Her work critiques traditional methodologies in study abroad research, advocating for more reflexive and decolonized approaches. Notable contributions include analyzing interactions in study abroad contexts, the role of authenticity in language learning, and the ethical dimensions of global mobility programs. Current courses include GER 244 (Real Talk: Why Language Matters) and GER 508 (Approaches to German Studies). Her research methodologies often integrate autoethnography and critical discourse analysis. McGregor’s articles consistently address themes of agency, authenticity, and methodological innovation. Recent work explores ungrading practices and the use of technology in L2 learning. She actively participates in academic discourse through her contributions to conferences like the Tucson Humanities Festival and her involvement in curricular decolonization initiatives.
