Daniele Fusi is a Lecturer at the Department of Humanities, Ca' Foscari University of Venice, with a focus on Digital Humanities and Computational Philology. He teaches courses on XML databases and digital/public humanities, bridging classical studies with modern technology. University: Ca' Foscari University of Venice Department: Department of Humanities His research spans digital edition frameworks, metrical analysis, and XML markup for classical texts. Recent works explore AI applications in textual dynamics and forensic linguistic tools for legal corpora, demonstrating interdisciplinary approaches between humanities and computer science. Notable projects include: EpiSearch for ancient inscriptions Chiron framework for metrical analysis AttiChiari digital corpus He actively publishes in journals like Journal of Data Mining and Digital Humanities and Rivista di Cultura Classica e Medioevale , with over 20 years of contributions to digital philology, epigraphic databases, and computational linguistics.
Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.
Karl S. Booksh is a Professor in the Department of Chemistry and Biochemistry at the University of Delaware's College of Arts & Sciences. His research integrates chemometrics with analytical spectroscopy to develop advanced chemical sensors for environmental, biomedical, and industrial applications. Education B.S., 1990, University of Alaska - Fairbanks Ph.D., 1994, University of Washington - Seattle Research interests focus on: Combining instrumental design with chemometric methods for enhanced sensor performance Development of fiber optic sensors (SPR, Raman, fluorescence) Machine learning applications in environmental monitoring (hydrothermal vents, soil analysis) Biomedical diagnostics (protein/cytokine detection, male infertility assays) Food chemistry (edible oil authentication, peroxide value prediction) Recent publications demonstrate expertise in: Portable spectroscopic systems (LIBS, DART TOFMS) Environmental and forensic chemical analysis Advanced data analysis for classification and detection Cultural heritage science (textile/pigment analysis) Industrial process monitoring and soft sensing His lab actively engages in educational outreach through: NSF-funded REU program for students with disabilities ACS Project SEED for economically disadvantaged high school students Hands-on research training in chemometrics and spectroscopy
Professor Maurice R. Dyson is a scholar, attorney, and policy expert at Suffolk University Law School , with affiliations spanning Columbia University, Southern Methodist University, and international institutions. He specializes in Education Law , Artificial Intelligence , and Civil Rights , focusing on systemic inequality, algorithmic bias, and legal reform. Dyson's career bridges mergers and acquisitions practice with pro bono litigation , including a landmark $14 billion school finance judgment in New York City. Harlan Fiske Stone Scholar, Columbia Law School King's Crown Scholar, Columbia College His research explores AI's racial justice implications , constitutional law , and criminal justice reform , particularly in pre-sentencing algorithms and bias amplification. Articles highlight intersections between technology , equity , and legal frameworks . Scientific awards include the King's Crown Award , Kluge Award , and C. Clyde Ferguson Jr. Keynote . Dyson co-founded the Crawford Legal Institute Mentorship Bond (CLIMB) program, recognized by the White House and California State Bar , addressing the school-to-prison pipeline through mentorship and equity initiatives.
Professor Jitesh H. Panchal is a Professor of Mechanical Engineering and Associate Head of Undergraduate Programs at Purdue University's School of Mechanical Engineering. His research focuses on computational design of socio-technical systems, secure manufacturing, and collaborative engineering processes. He holds a PhD from Georgia Tech and has received numerous awards including the NSF CAREER Award (2010) and ASME's Guest Associate Editor Award (2019). Education: Ph.D. (Mechanical Engineering), Georgia Tech, 2005 M.S. (Mechanical Engineering), Georgia Tech, 2003 B.Tech. (Mechanical Engineering), IIT Guwahati, 2000 Research Interests: His work integrates computational methods with human factors, addressing challenges in secure design, additive manufacturing, and decision-making frameworks. Recent trends show focus on AI-driven design optimization, cybersecurity in manufacturing, and policy frameworks for defense acquisitions. Awards: ASME Journal of Mechanical Design Guest Associate Editor Award (2019) NSF CAREER Award (2010) Robert E. Fulton SEIKM Best Paper Award (2013) Ruth and Joel Spira Award (2018) Advising & Grants: His research is supported by grants from NSF and industry partnerships. He advises graduate students in design engineering and manufacturing systems, though no specific student names are listed. Labs: Directs the Design Engineering Lab at Purdue (DELP) , focusing on computational design methodologies and secure manufacturing technologies.
Jeremiah M. Blocki is an Associate Professor in the Department of Computer Science at Purdue University. His research focuses on cryptography, usable privacy and security, and authentication protocols. He joined Purdue in Fall 2016, previously completing his PhD at Carnegie Mellon University and a postdoc at Microsoft Research New England. Education: PhD in Computer Science, Carnegie Mellon University, 2014 Bachelor of Science in Computer Science, Carnegie Mellon University, 2009 Research Interests: Dr. Blocki’s work emphasizes applying theoretical computer science to practical security challenges, including password management, memory-hard functions, and differential privacy. His recent projects include developing distribution-aware password throttling and analyzing the post-quantum security of cryptographic algorithms. Publications: His research spans cryptographic protocols, security mechanisms, and privacy-preserving algorithms. Notable contributions include advancements in memory-hard functions (e.g., CRYPTO 2016, 2019) and differential privacy techniques (e.g., ITCS 2025). Recent work explores the intersection of cryptography with quantum computing and sublinear-time algorithms. Awards: NSF CAREER Award (2021) Purdue Seed for Success Award (2019) Allen Newell Award for Excellence in Undergraduate Research (2009) Advising & Grants: Supervised multiple PhD students and postdocs. Key grants include the NSF CAREER award ($591k) and a $10.7M HACCLE project (IARPA) for secure multi-party computation. Labs/Teams: Co-leads the HACCLE project, focusing on high-assurance cryptographic languages and environments. Active in Purdue’s CERIAS security initiatives.
Sezer Karaoglu is a Lecturer and part-time postdoctoral researcher at the Computer Vision Group, Informatics Institute, University of Amsterdam. He is also the CTO and Co-Founder of 3DUniversum, a technology spin-off of the University of Amsterdam that provides state-of-the-art 2D/3D computer vision solutions. Additionally, he has co-founded other startups including Scanm and 3DHealthScan. Dr. Karaoglu received his PhD from the Computer Vision Group, Informatics Institute, University of Amsterdam, with research funded by the COMMIT project. His educational background includes a double master's degree: an optics, image and vision master's degree from University Jean Monnet in France and a media technology master's degree from Gjovik University College in Norway. He completed his undergraduate studies with honors at Istanbul Technical University in Telecommunication Engineering. His research focuses on Artificial Intelligence and 3D Computer Vision, with specific interests in SLAM, re-localization, 3D reconstruction, 3D object detection and segmentation, synthetic media, generative AI, deep fake creation and detection, and VR/AR technologies. His work has significant applications in healthcare, particularly in using deepfake technology for therapy for victims of sexual violence-related PTSD and moral injury, as documented in a Frontiers in Psychiatry article. Analyzing his recent publications reveals a strong trend toward neural scene reconstruction, intrinsic image decomposition, and the application of diffusion models to computer vision problems. His research increasingly integrates 3D scene understanding with language models, as evidenced by his work on language-to-3D scene generation. The applications span from healthcare (deeptherapy.ai) to media authenticity (deepfake detection) and industrial applications. ICT.OPEN Poster Award (3rd Position), Oct'13 Pascal VOC'12 Classification challenge, 2nd Position, Sep'12 Pascal VOC'12 Detection challenge, 3rd Position, Sep'12 Best project award at Nokia and CIMET project competition Outstanding reviewer at CVPR'21 PROVADA Future Startup Battle winner Best Dutch AI startup by Valuer Dr. Karaoglu has supervised numerous PhD, Master's, and Bachelor's students, demonstrating his commitment to academic mentorship. His research has attracted significant media attention, with features on Dutch national TV programs including NPO, VPRO, RTL, and international outlets like BBC News. He has received research funding through the COMMIT project during his PhD studies and has successfully translated his research into commercial applications through his startups. His work on deepfake technology has been applied in innovative therapeutic contexts through DeepTherapy.ai, showing the real-world impact of his research. Dr. Karaoglu leads research efforts at the Computer Vision Group Amsterdam and through his company 3DUniversum, which has developed applications like weScan, DeepTherapy, and FairFake.ai. His team collaborates with various institutions including the Netherlands Film Academy for grief therapy applications using deepfake technology. The DeepTherapy project represents a particularly impactful application of his work, using deepfake technology to help victims of sexual violence confront perpetrators in therapeutic settings.
Abey Campbell is an Assistant Professor in Computer Science at the School of Computer Science, University College Dublin. He holds roles such as Deputy Programme Director for Computer Science, Director of UCD VR Lab, and 1st Year Stage Coordinator. His research focuses on Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Multi-Agent Systems with applications in education, healthcare, and human-computer interaction. Campbell has coordinated modules like Augmented and Virtual Reality, Computer Graphics, Game Development, and Mobile Computing. He earned his BSc and PhD in Computer Science from University College Dublin. His work explores touchless interaction technologies, machine learning agents in STEM education, and ethical implications of emerging technologies. Notable contributions include RenderKernel for real-time rendering systems and studies on AR's role in decision support systems. Campbell has secured a grant from Enterprise Ireland for collaborative design documentation and participates in professional activities like peer reviewing for Frontiers in Virtual Reality and IEEE conferences. His collaborative projects include developing AR tools for veterinary training and evaluating immersive VR experiences in nursing education. The UCD VR Lab under his direction focuses on applied research in spatial computing and interactive systems.
Prof. Dr.-Ing. Stefan Schulte is a Full Professor at Hamburg University of Technology, leading the Institute for Data Engineering and the Christian Doppler Laboratory Blockchain Technologies for the Internet of Things (CDL-BOT). He holds a diploma in Economics and a Bachelor's in Computer Science from the University of Oldenburg, followed by a Master's in Information Technology (with Merit) from the University of Newcastle. After completing his PhD at TU Darmstadt in 2010, he held roles as Postdoctoral Researcher at TU Wien, Assistant Professor (tenure-track), and eventually Associate Professor before joining TU Hamburg in 2021. His research focuses on data engineering, blockchain technologies applied to IoT, elastic computing, and quality-of-service (QoS) aspects in smart systems. Notable contributions include work on fog computing, federated learning, and cross-blockchain interoperability. He has published over 140 papers in top-tier venues like IEEE Transactions on Services Computing and ACM Computing Surveys. Key awards include Best Paper Awards at the IEEE International Conference on Blockchain (2020) and the European Conference on Service-Oriented and Cloud Computing (2023). Prof. Schulte chairs major conferences such as the IEEE International Conference on Fog and Edge Computing (ICFEC 2025) and serves on editorial boards for journals like IEEE Transactions on Services Computing. He leads CDL-BOT, a lab exploring blockchain applications in IoT and manufacturing. His industrial collaborations include projects like SIMPLI-CITY (smart mobility) and CREMA (cloud-based manufacturing). Current research emphasizes blockchain interoperability, federated learning frameworks, and edge-AI systems. He actively reviews proposals for the German Research Foundation, EU programs, and industry initiatives.
Associate Professor Lisa McGrath specializes in academic writing and English for Research and Publication Purposes (ERPP) at Sheffield Hallam University. She holds a PhD from Stockholm University and leads initiatives such as the SIoE 'Writing (better) for international publication' course and doctoral writing workshops. Her research focuses on genre pedagogy, L2 writing task design, and metacognition in academic contexts. She collaborates with institutions like Chalmers University and serves on editorial boards for journals including Journal of English for Academic Purposes . McGrath is Deputy Director of the White Rose Doctoral Training Partnership and editor of the Sheffield Institute of Education blog. Education: PhD in Education from Stockholm University Her teaching spans MA Education, MA TESOL, and EdD programs, covering topics like research project design and English for Specific Purposes. Current research projects include multi-genre pedagogy and disciplinary grading criteria analysis with Prof. Raffaella Negretti and Dr. Helen Donaghue. McGrath also supervises doctoral students in areas such as disability studies, BAME belonging, and TESOL. Recent publications emphasize embedding writing development in early-career lecturers' practices and innovating L2 writing task design. She actively engages in professional networks like BALEAP and delivers international training on academic writing for publication.
Elouise Botes is a Postdoctoral Researcher in the Department of Behavioural and Cognitive Sciences at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences. Her work focuses on emotions in language learning, parenting dynamics, and the psychological underpinnings of educational outcomes. She investigates constructs such as foreign language anxiety, motivation, and the interplay between personality traits and language acquisition. Her research employs mixed-methods approaches, including meta-analyses, scale development, and longitudinal studies. Her research interests span Second Language Acquisition (SLA), Educational Psychology, and Parent-Child Relationships. Key areas include: (1) Emotional dynamics in language classrooms (e.g., enjoyment, anxiety, boredom), (2) Predictors of language learning success (e.g., grit, dark triad traits, mindset), and (3) Parental involvement mechanisms impacting child development. She has contributed to validated instruments like the Parental Grit Scale and short-form Foreign Language Enjoyment/Anxiety Scales. Recent work highlights trends in emotion regulation strategies among educators, cross-cultural comparisons of teacher well-being, and the role of congruent emotions between teachers and learners. Her 2025 studies emphasize moderated effects of skill level on motivational attitudes and the bidirectional impacts of imposter syndrome in language learners. She also explores Western bias in educational psychology publishing and the validation of new assessment tools for parenting dynamics. While no specific awards are listed, her prolific publication record indicates sustained contributions to language education and family psychology. Her work often addresses applied aspects of theory, offering practical insights for educators and policymakers. Current affiliations include the Maison Sciences Humaines research facility in Esch-sur-Alzette.
Professor Wei Shi is a faculty member at the School of Computer Science, Carleton University. His research focuses on distributed computing, cloud networks, algorithm design for sensor/actuator systems, big data analytics, and data privacy. Notable projects include federated learning optimizations, blockchain-enabled edge intelligence for IoT/vehicle networks, and AI-driven cybersecurity solutions. His work addresses challenges in dynamic resource allocation, anomaly detection, and privacy-preserving techniques. Research Interests: Distributed Computing: Optimizing federated learning and client selection algorithms for wireless networks. Blockchain & Edge Intelligence: Developing decentralized systems for IoT and vehicular networks using AI large models. Security & Privacy: Innovating methods to detect AI-generated content, combat cyber-physical attacks, and protect user data privacy. Publications: Recent works emphasize federated learning applications, blockchain integration with edge computing, and cybersecurity for vehicular/IoT ecosystems. Key themes include energy-efficient algorithms, dynamic resource allocation, and intrusion detection in constrained environments. Email: wei.shi@carleton.ca
Dr. Miao Pan is an Associate Professor in the Department of Electrical and Computer Engineering at the Cullen College of Engineering, University of Houston. He directs the PAN Lab (panlab.ece.uh.edu) focusing on wireless networking, security, and IoT applications. His educational background includes a B.S. in Electrical Engineering from Dalian University of Technology (2004), M.S. from Beijing University of Posts and Telecommunications (2007), and Ph.D. from the University of Florida (2012). Dr. Pan's research spans privacy-preserving deep learning, wireless networking, machine learning applications in communications, underwater systems, and cognitive radio networks. His interdisciplinary approach combines theoretical foundations with practical implementations in emerging technologies. Recent publications demonstrate strong focus on federated learning optimizations, wireless sensing innovations, and security mechanisms for next-generation systems. Key trends include energy-efficient mobile AI, robust authentication methods, and adaptive underwater networking solutions. Honors include: NSF CAREER Award (2014) 5 IEEE Best Paper Awards (2015-2019) University of Florida Graduate Fellowship (2007) He leads multiple federally funded projects and advises graduate researchers in wireless systems and security. The PAN Lab collaborates with industry partners to translate research into practical solutions for IoT and 5G/6G networks.
Cara Bernard is an Associate Professor of Music Education at the University of Connecticut’s Neag School of Education, specializing in choral and elementary music education, curriculum development, and teacher evaluation policy. She holds degrees from Teachers College, Columbia University, Westminster Choir College, and New York University. Her research focuses on equity in music education, urban music programs, and diversity initiatives. Dr. Bernard has authored/co-authored multiple publications, including Teacher Evaluation in Music: A Guide for Teachers in the U.S. and serves on editorial boards for journals like Music Educators Journal and Arts Education Policy Review . She has received prestigious awards such as the 2022 University Teaching Fellowship and the 2015 Outstanding Dissertation Award. Her funded research includes projects on diversifying music educator recruitment and equity in arts education policy. Dr. Bernard previously worked in New York City public schools and led programs like Carnegie Hall’s Count Me In initiative, impacting over 1,000 students. She currently chairs the CT American Choral Directors Association and contributes to state and national committees addressing arts equity. Dr. Bernard’s work bridges research and practice, emphasizing social justice, critical pedagogy, and accessible arts education. Her recent articles explore disciplines like disciplinary literacy in teacher education, social change through choral music, and first-generation educators’ career paths. Beyond academia, she conducts workshops and performances, advocating for inclusive music education practices nationwide.
Omar Haider Chowdhury is a SUNY Empire Innovation Scholar and Associate Professor in the Department of Computer Science at Stony Brook University. Previously, he was an Assistant Professor at the University of Iowa where he received the Dean's Scholar Award. He completed his postdoctoral research at Cylab, Carnegie Mellon University and Purdue University. His educational background includes a Ph.D. in Computer Science from the University of Texas at San Antonio under the supervision of Prof. Jianwei Niu and Prof. William H. Winsborough (deceased), and undergraduate education in Computer Science and Engineering at the Bangladesh University of Engineering and Technology (BUET). Chowdhury's research focuses on Computer Security and Privacy, with particular emphasis on applying formal verification, automated reasoning, runtime verification, programming languages, software engineering, and human-computer interaction techniques to solve practical security problems. His work addresses security challenges in SSL/TLS, X.509 PKI, Cellular Networks, Wi-Fi, Internet-of-Things (IoT), and Regulatory Compliance. He is also interested in fundamental problems in automated reasoning and formal verification. His recent publications demonstrate a strong focus on applying formal methods to practical security problems, with particular emphasis on cellular networks (4G/5G), IoT systems, and cryptographic protocols. His research shows a consistent pattern of bridging theoretical verification techniques with real-world security implementations, resulting in enhancements to widely used protocols like 4G LTE, 5G, and WPA2 enterprise. His scientific contributions have been recognized with numerous awards including: 2023 Test of Time Award, ACM SACMAT 2022 Dean's Scholar Award, University of Iowa 2021 Best Paper Award (Runner Up), ACM CCS 2020 Best Paper Award, ACNS 2019 DARPA Young Faculty Award Multiple Best Paper Awards at IEEE DASC, ACSAC, and NDSS Chowdhury has successfully mentored several PhD students including Dr. Moosa Yahyazadeh (now at Apple Inc.), and currently advises students including Joyanta Debnath, Muhammad Daniyal Pirwani, and Aliakbar Sadeghi. His research has been funded by both National Science Foundation (NSF) and Defense Advanced Research Projects Agency (DARPA), including a prestigious DARPA Young Faculty Award. His group's findings have directly influenced improvements in widely used security protocols and cryptographic libraries. He leads a research group focused on high-assurance software design and implementation, recently teaching courses on these topics at Stony Brook University. His research group combines expertise in formal methods, security analysis, and practical implementation to tackle emerging security challenges in modern computing systems.
