Yoselin Benitez-Alfonso is a Professor of Interdisciplinary Plant Sciences at the School of Biology, Faculty of Biological Sciences, University of Leeds. She leads the Benitez-Alfonso Lab (PD Wall Structural Mechanics) and holds a prestigious UKRI Future Leaders Fellowship. Her research integrates plant biology, biophysics, and materials science to study plasmodesmata and cell wall polymers. Research Interests: Regulation of intercellular communication via plasmodesmata Role of callose and cellulose in cell wall mechanics Plant development and environmental resilience Sustainable biomaterials from plant polymers Diagnostic applications of β-1,3-glucans in fungal infections Her recent work shows strong interdisciplinary trends, combining genetic, molecular, and physical approaches to understand how plant microchannels regulate development and stress responses. Publications reveal a focus on callose metabolism, plasmodesmata proteomics, and innovative applications in biotechnology and materials science. Scientific Awards: UKRI Future Leaders Fellow HEA Fellow She is actively involved in advising postgraduate researchers and securing competitive grants from EPSRC, The Royal Society, Leverhulme Trust, and UKRI. She collaborates with the Department of Physics, Astbury Centre, Braggs Centre, and clinical teams at Leeds Teaching Hospitals. She also founded the ‘Black in Plant Science’ network to promote equity and inclusion. Labs and Teams: The Benitez-Alfonso Lab focuses on cross-disciplinary research in plasmodesmata structural mechanics, with active projects in plant biotech, biomaterials, and diagnostics. The team uses advanced tools including NMR, rheology, and AFM nanoindentation.
Dr. Hamidreza Mohades Kasaei is an Associate Professor in the Department of Artificial Intelligence at the University of Groningen, Netherlands. He holds positions in both the Faculty of Science and Engineering and the Faculty of Medical Sciences/UMCG, focusing on Robotics and image-guided minimally-invasive surgery. His work bridges theoretical advances in machine learning with practical robotic applications. Dr. Kasaei's research focuses on developing algorithms for adaptive perception systems through interactive environment exploration and open-ended learning. His specific interests include 3D object perception, grasp affordance detection, object manipulation, and active perception. He has evaluated his research on various robotic platforms including PR2, UR5e, Kinova, Franka robotic arms, and humanoid robots. His work enables robots to learn from past experiences and intelligently interact with non-expert human users using data-efficient techniques. Analysis of his recent publications reveals strong trends toward increasingly sophisticated manipulation capabilities, particularly in dual-arm coordination and handling dense clutter. There's a clear progression toward integrating language models with robotic control systems, as seen in works like 'Lifelong Robot Library Learning' and 'Towards Open-World Grasping with Large Vision-Language Models.' His research consistently addresses real-world challenges in agricultural robotics, assistive technologies, and service robotics applications. Gratama Science Award (2022) Google Research Scholar Award in Machine Learning (2023) Outstanding Associate Editor for IEEE Robotics and Automation Letters (2023) Dr. Kasaei has successfully supervised multiple PhD students including Zhenxing Zhang (thesis on 'Generative Adversarial Networks for Diverse and Explainable Text-to-Image Generation') and Hamed Ayoobi (thesis on 'Explain What You See: Argumentation-Based Learning and Robotic Vision'). His research is supported by significant grants including the Google Research Scholar Award for 'Continual Robot Learning in Human-centered Environments' and various conference organization roles including workshops at RSS 2023 and NeurIPS 2022. He leads the Lifelong Interactive Robot Learning Lab (IRL-Lab), which focuses on six key research directions: Perception and Perceptual Learning, Object Grasping and Manipulation, Lifelong Interactive Robot Learning, Dual-Arm Manipulation, Dynamic Robot Motion Planning, and Exploiting Multimodality. The lab develops cutting-edge approaches for robots to learn in open-ended fashion through interaction with non-expert human users, with applications in assistive robotics for people with disabilities.
Benjamin Good is an Assistant Professor of Applied Physics and (by courtesy) of Biology at Stanford University. He holds the Alden H. and Winifred Hubbard Brown Faculty Fellowship and is based in the Department of Applied Physics within the School of Humanities and Sciences. His research bridges theoretical biophysics, evolutionary dynamics, and microbial ecology. Dr. Good received his Ph.D. in Physics from Harvard University in 2016 and his B.A. in Physics/Mathematics from Swarthmore College in 2010. His academic journey has focused on understanding evolutionary processes through the lens of statistical physics. His research interests span Theoretical Biophysics , Evolutionary Dynamics , Population Genetics , and Microbial Evolution . Good's work specifically examines short-term evolutionary dynamics in rapidly evolving microbial populations like the gut microbiome. He uses tools from statistical physics, population genetics, and computational biology to understand how microscopic growth processes and genome dynamics at the single cell level give rise to collective behaviors observable at the population level. His research spans from basic theoretical investigations of non-equilibrium processes to the development of computational tools for measuring these processes in natural and experimental microbial communities. Dr. Good teaches two key courses at Stanford: APPHYS237/BIO251: Quantitative evolutionary dynamics and genomics, and APPHYS205/BIO126/226: Introduction to Biophysics. His teaching emphasizes the application of physics principles to biological systems and quantitative approaches to evolutionary processes. Alden H. and Winifred Hubbard Brown Faculty Fellow Dr. Good actively mentors a diverse research group including postdoctoral fellows across multiple labs, graduate students in Applied Physics, Biology, Physics, and Biophysics programs, and undergraduate researchers. His lab collaborates extensively with experimentalists and leverages public sequencing repositories to develop theoretical frameworks for understanding microbial community dynamics from the ocean to the soil to the human gut.
Patryk Pawlak serves as a Part-time Professor at the Robert Schuman Centre for Advanced Studies at the European University Institute in Florence, Italy, and functions as Project Director for the Global Initiative on the Future of the Internet (GIFI), a two-year project funded by the European Union. Dr. Pawlak earned his PhD in Social and Political Sciences from the European University Institute, establishing the academic foundation for his expertise in digital governance. His educational background complements his practical experience in international cyber policy development and implementation. His research concentrates on global governance of digital and cyber issues, examining how technology impacts foreign and security policy and analyzing the European Union's evolving role in cyber and digital diplomacy. Dr. Pawlak specifically investigates how cyber and digital policies are reshaping the multilateral system, with particular attention to frameworks for responsible state behavior in cyberspace and operational approaches to cyber capacity building. Analysis of his recent publications reveals consistent thematic focus on accountability mechanisms in cyberspace, EU cyber strategy development, and practical frameworks for international cyber cooperation. His work spans cybersecurity, international relations, and digital policy domains, demonstrating the interdisciplinary nature of contemporary cyber governance research. Dr. Pawlak advises governments, international organizations, and EU initiatives on cyber diplomacy matters. His leadership of the EU Cyber Diplomacy Initiative (EU Cyber Direct) from 2018-2022 secured significant funding and shaped EU engagement on cyber diplomacy worldwide. He has coordinated numerous EU Cyber Consultations with countries including Brazil, China, India, South Korea, Japan, and the United States, demonstrating extensive international collaboration. Actively engaged in multilateral cyber processes at the United Nations, Dr. Pawlak also serves as a Visiting Scholar at Carnegie Europe. His previous affiliations include the European Parliamentary Research Service, Johns Hopkins University, Georgetown University, and the Centre for European Policy Studies, reflecting his established position in both academic and policy circles.
Joseph Koopmeiners is a Mayo Professor and Division Head of the Division of Biostatistics & Health Data Science at the University of Minnesota School of Public Health. He serves as a Member of the Masonic Cancer Center and Scientific Co-director of the RapidEVAL Program within the Center for Learning Health Systems Sciences. Education: PhD in Biostatistics, University of Washington (2009) MS in Biostatistics, University of Minnesota (2004) BA in Mathematics, St. John's University Koopmeiners develops advanced statistical methods to improve cancer prevention, detection, and treatment through biomarker validation and Bayesian adaptive methods for clinical trials. His research bridges biostatistics with practical applications in oncology, tobacco control, and public health policy. He focuses on innovative trial designs including basket trials, group-sequential methods, and virtual twin approaches that enhance clinical research efficiency. His recent publications demonstrate a strong trend toward adaptive clinical trial methodology, with significant contributions to Bayesian statistics, biomarker validation, and cancer research. Koopmeiners' work spans from fundamental statistical methodology to direct applications in cancer treatment, sepsis management, and tobacco regulation. Awards: Delta Omega, Honorary Society in Public Health Koopmeiners maintains active professional engagement through multiple research collaborations and leadership roles. As Division Head, he oversees biostatistical research and educational programs while directing the RapidEVAL Program focused on learning health systems. His methodological expertise supports numerous clinical trials and public health initiatives across cancer research and other medical domains. His work connects statistical innovation with real-world health applications through the Masonic Cancer Center and Center for Learning Health Systems Sciences, where he contributes to translational research infrastructure.
Xavier Darzacq is a Professor of Molecular Therapeutics at the University of California, Berkeley, holding the Edward E. Penhoet Distinguished Endowed Chair in Global Health and Infectious Disease. His research at the intersection of molecular biology and biophysics focuses on understanding how nuclear organization governs transcription regulation during cellular differentiation. Research Highlights: Investigates transcriptional control via non-canonical mediator complexes in fibroblast-to-myofibroblast differentiation. Develops advanced imaging techniques (single-molecule tracking, 3D FISH) to study transcription factor mobility and chromatin interactions. Proposes biophysical models where protein diffusion in the nucleus is guided by DNA/chromatin networks. Technological Innovations: Pioneered methods for single-molecule tracking and super-resolution imaging, enabling nanoscale and millisecond-resolution analysis of nuclear processes. Collaborates with experts in biophysics, chemistry, and imaging to integrate multidisciplinary approaches. Scientific Awards: Edward E. Penhoet Distinguished Endowed Chair (Global Health and Infectious Disease) Nature Structural & Molecular Biology – Selected Article of the Month (2007) His lab (http://tjian-darzacq.mcb.berkeley.edu/) explores how nuclear architecture influences gene expression, particularly in wound healing contexts. Future work aims to leverage advancements in microscopy and genome editing to unravel transcriptional rules in living organisms.
Tugba Basaran is the Director of the Centre for the Study of Global Human Movement at the University of Cambridge. She holds a PhD in International Studies from Cambridge and has held visiting positions at Harvard Law, Princeton, Sciences-Po, and the Institute for Advanced Studies. Her academic career includes tenure as an Assistant Professor at the University of Kent. Research Focus: Intersects politics, law, and society, examining global governance practices, legal borders, geographies of exclusion, and the production of indifference in security discourses. Geographic Expertise: Worked in the Americas, Africa, Asia, and Europe over a 25-year career, addressing issues in developing and post-conflict countries. Language Skills: Fluent in English, French, German, Spanish, and Turkish, with working knowledge in other languages. Publications: Author of the monograph Security, Law and Borders: At the Limits of Liberties and numerous articles on migration, security, and legal geographies, widely cited in international political sociology and migration law. Contact: Email tb317@cam.ac.uk for correspondence.
Simo Hosio is an Academy Research Fellow (2022-2027) and Professor of Computer Science and Engineering at University of Oulu's Center for Ubiquitous Computing, where he leads the Crowd Computing Research Group. He also maintains a visiting position at University of Tokyo, Japan. Having graduated as the first Finnish scholar under Microsoft Research Cambridge's Ph.D. scholarship program, he has published over 150 peer-reviewed scientific articles spanning two decades of research. Hosio's research spans three primary domains: crowdsourcing methodologies, human-computer interaction, and digital health applications. His work pioneers novel approaches to online labor markets, investigates the suitability of crowdsourcing for diverse applications, and explores HCI aspects of digital health solutions for chronic conditions. His research group, founded in 2020, has secured nearly two million USD in funding, demonstrating significant research impact and recognition. Analysis of Hosio's recent publications reveals a strong trend toward interdisciplinary research at the intersection of crowdsourcing, healthcare technology, and emerging AI systems. His work increasingly focuses on practical applications of crowd computing in health contexts, with growing attention to mental health, women's health, and workplace well-being solutions. The integration of AI and machine learning techniques with traditional HCI approaches represents another significant trajectory in his recent scholarship. Distinguished Paper Award (2024) Best Paper Honourable Mention Award (2022) PMCJ Best Research Paper (awarded in 2024) Best Paper Award (2022) Best Full Paper Award (2015) Honorable Mention Award (2014) Best Paper Presentation award (2010) As an educator, Hosio has taught Human-Computer Interaction (2019-2025) to over 260 students in 2024, Social Computing (2018-2021) to approximately 60 students annually, and Applied Computing (2015-2018) to around 50 students each year. His research group's nearly two million USD in secured funding demonstrates significant grant acquisition success, supporting innovative work at the intersection of crowd computing, health technology, and human-centered AI systems. The Crowd Computing Research Group, founded by Hosio in 2020, represents a significant research infrastructure focused on advancing methodologies for crowd-powered systems. The group's work spans from fundamental research on crowd labor markets to applied projects in healthcare, workplace well-being, and social computing, demonstrating a strong commitment to both theoretical advancement and practical impact.
Michael Nothnagel is a Professor at the University of Cologne, where he leads the Department of Statistical Genetics and Bioinformatics within the Cologne Center for Genomics (CCG). His work spans statistical genetics, genetic epidemiology, and forensic genetics, focusing on methodological development and large-scale genomic data analysis. His research interests encompass theoretical and applied statistical genetics, with emphasis on human genetic diversity, disease etiology, and forensic applications. Key areas include Y-chromosomal phylogeography, genome-wide association studies for complex diseases, development of statistical methods for variant interpretation, and forensic marker optimization. His group leverages next-generation sequencing data and specialized forensic markers to address questions in population history, disease mechanisms, and identification systems. Recent publications reveal a strong focus on computational approaches to genetic analysis, including spatial frequency interpolation for haplogroup mapping, polygenic risk score applications for behavioral traits, and advanced methods for variant classification. His work demonstrates consistent integration of statistical theory with practical applications in medical and forensic genetics, often through international collaborations like the VISAGE Consortium. Nothnagel maintains active involvement in the Cologne Center for Genomics, contributing to seminars and collaborative projects including the upcoming 34th International Genetic Epidemiology Society meeting. His research group operates at the intersection of computational biology and medicine, with particular strengths in handling complex genomic datasets and developing novel analytical frameworks for genetic epidemiology.
Flavio Bezerra Costa serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University's College of Engineering. His research focuses on critical areas of modern power systems, including smart grid technologies, renewable energy integration, power system protection, and advanced applications of signal processing and artificial intelligence in electrical power networks. Dr. Costa's research interests span a comprehensive range of power system topics with particular emphasis on Smart Grid technologies, Integration of Renewable Energy Systems, Power System Protection, Control, and Monitoring, Power Quality analysis, Power Systems and Power Electronics, AC/DC Microgrids, High-Voltage Direct Current (HVDC) Electric Power Transmission Systems, and the application of Signal Processing and Artificial Intelligence (including Machine Learning) in power systems. His work bridges traditional power engineering with modern computational techniques to address contemporary grid challenges. Analysis of Dr. Costa's recent publications reveals a consistent focus on wavelet transform applications for power system protection and monitoring, particularly in the areas of fault detection, classification, and location. His research demonstrates strong integration of machine learning techniques with traditional power system protection methods, with significant contributions to transformer protection, transmission line fault analysis, and microgrid stability. The work shows an evolving trajectory from fundamental wavelet-based protection techniques toward more sophisticated AI-enhanced approaches for modern power grid challenges. Dr. Costa maintains an active research program with numerous publications in top-tier IEEE journals and conferences, demonstrating his significant contributions to the field of power systems engineering and protection.
Joseph G. Allen is an Associate Professor at Harvard T.H. Chan School of Public Health, where he directs the Harvard Healthy Buildings Program and serves as Deputy Director of the Harvard Education and Research Center for Occupational Safety & Health . He holds leadership roles in major public health initiatives including as Commissioner for The Lancet COVID-19 Commission and Scientific Advisor to the White House (2022-2024). His work bridges environmental health, building science, and public policy to advance human health in indoor environments. Education: D.Sc. in Exposure Assessment, Environmental Epidemiology & Biostatistics – Boston University MPH in Environmental Health – Boston University BS in Biology – Boston College Certified Industrial Hygienist (CIH) Research Focus: Dr. Allen's work centers on indoor environmental quality and its impact on human health. His research examines: 1) Airborne pathogen transmission mitigation strategies, 2) Chemical exposure pathways in built environments, 3) Climate-resilient building design, and 4) Global health equity in environmental interventions. His studies employ field measurements, computational modeling, and epidemiological approaches to develop evidence-based building standards. Publications: His recent 15 publications demonstrate consistent focus on air quality interventions, chemical exposure assessment, and health-focused building design. Key themes include pandemic-responsive ventilation standards, PFAS contamination mitigation, global health equity in environmental interventions, and technological innovations in exposure monitoring. His work appears in both scientific journals and policy-oriented outlets like Harvard Business Review. Awards & Leadership: Scientific Advisor to White House & Massachusetts Governor Chair of Lancet COVID-19 Task Force for Safe Work/Schools/Travel Co-Chair of Harvard Sustainability Committee's 2050 Subcommittee Program Direction: As Director of the Harvard Healthy Buildings Program, Dr. Allen leads interdisciplinary research translating building science into public health practice. The program collaborates with governments and industries worldwide to implement health-focused building standards and exposure reduction strategies.
Professor Pilar Fernandez-Ibanez is a distinguished Professor in Environmental Engineering at Ulster University's School of Engineering. She previously served as Head of Group at Plataforma Solar de Almería of CIEMAT in Spain before joining Ulster University. Her academic career spans multiple institutions across Spain and the UK, with a strong focus on solving global water challenges. She holds a PhD in Applied Physics (2004) and a Bachelor's degree in Theoretical Physics (1994), both from the University of Granada. Her professional journey includes significant roles at CIEMAT as Research Assistant, Research Fellow, Senior Researcher, and ultimately Head of Group. Professor Fernandez-Ibanez's research primarily focuses on low-cost technologies for water purification, photochemical and advanced oxidation processes for removing microbiological pathogens and hazardous chemical contaminants, and decentralized technologies for drinking water in developing communities. Her work directly contributes to UN Sustainable Development Goals related to clean water and sanitation. Her extensive publication record includes 182 peer-reviewed articles with an h-index of 60 and over 12,000 citations. Her research output demonstrates consistent growth and impact, with recent publications focusing on household-based water disinfection systems, UVC-LED radiation efficacy, and nanomechanical biosensing technologies. Member of the Royal Irish Academy (2024) Fellow of the Institute of Physics-UK and Ireland Fellow of the Higher Education Academy-UK Distinguished Research Awards 2021 University Champion Top 2% of scientists most-cited worldwide (2019) Finalist in the WISE awards 2019 on gender balance in STEM Professor Fernandez-Ibanez has secured substantial research funding, including serving as Principal Investigator on two H2020 projects (REWATERGY and PANIWATER) and a Royal Society International Collaboration Award. She is currently involved in multiple active projects including the AHRC-funded Green Transition Ecosystem and SAFEWATER initiatives. She also serves as Regional Editor for Europe of the Journal of Photochemistry & Photobiology and associate editor for the Journal of Environmental Chemical Engineering. She actively participates in international collaborations, serving as Ireland's representative to the International Union of Pure and Applied Physics (IUPAP) committee on physics for development. Her research group at Ulster University focuses on developing practical water treatment solutions with real-world impact, particularly for underserved communities.
PASCUAL ALVAREZ GOMEZ is a Professor at the University of Cádiz, affiliated with the Department of Industrial Engineering and Civil Engineering. His research focuses on Ground Engineering and Thermal Engineering, with a particular emphasis on geothermal heat pumps and thermal performance modeling. He is associated with the TEP221 Thermal Engineering research group and contributes to the PAIDI area of Production Technologies. Education: PhD in Industrial Engineering from the University of Cádiz (2014), with a thesis on "Vertical Ground Heat Exchanger Simulation Model for Geothermal Heat Pumps" Research: Specializes in hybrid thermal modeling, CFD analysis for evaporation rates, and machine learning applications in corrosion prediction His publications highlight advancements in geothermal systems, low-concentration photovoltaics, and biogas environment corrosion analysis. He employs both analytical and computational fluid dynamics (CFD) approaches for energy efficiency improvements.
Professor Kylie Tucker is a distinguished academic at the University of Queensland, serving as Professor and School Director of Teaching and Learning in the School of Biomedical Sciences within the Faculty of Health, Medicine and Behavioural Sciences. She is also an Affiliate of the Centre for Innovation in Pain and Health Research (CIPHeR) and currently serves as President of the International Society of Electrophysiology and Kinesiology (ISEK) for the term 2024-2026. Professor Tucker leads a dynamic research environment focused on advancing knowledge about muscles and movement control, with significant contributions to understanding how pain impacts movement, methods for estimating muscle forces, and assessment of childhood movement control and adolescent skeletal maturity. Professor Tucker earned her Bachelor of Arts, Bachelor of Science, and Doctor of Philosophy from the University of Adelaide. Her academic journey has positioned her as a leader in neuromuscular research, particularly in the areas of motor control and pain adaptation. Within the School of Biomedical Sciences, she has held significant leadership roles including Deputy Director of Teaching and Learning (2018-2020), inaugural chair of the REMEDE committee (2021-2023), and Director of Teaching and Learning (2024-2025). She also co-facilitates UQ's flagship Career Progression for Women program. Her research interests span motor control, pain research, biomechanics, electromyography, neuromuscular control, pediatric movement, scoliosis, and muscle physiology. Professor Tucker's work has transformed understanding of pain's impact on movement and advanced assessment methods for childhood movement control and skeletal maturity. She has recently proposed new insights into scoliosis progression, identifying unique muscle features that can be non-invasively detected early in curve progression. Approximately 3-7% of children worldwide develop adolescent idiopathic scoliosis, often requiring surgical intervention when conservative treatments fail. Analysis of Professor Tucker's recent publications reveals a strong focus on neuromuscular control mechanisms, particularly in relation to pain, scoliosis, and pediatric movement disorders. Her work integrates advanced methodologies including electromyography, shear wave elastography, and biomechanical modeling to investigate muscle function across diverse populations. A notable trend is her leadership in consensus projects (CEDE) establishing standardized methodologies for electromyography research, reflecting her commitment to methodological rigor in the field. Professor Tucker actively mentors the next generation of researchers, supervising numerous PhD students across projects related to scoliosis, knee osteoarthritis, pain research, and pediatric movement disorders. Her research is supported by significant funding including NHMRC MRFF EPCDR grants for chronic musculoskeletal conditions in children and the SRS Research Grant for novel insights into adolescent idiopathic scoliosis. She leads the Motor Control and Pain Research Lab, a collaborative environment bringing together basic science and clinical researchers. The lab focuses on two main research streams: Motor Control and Pain Research and Child and Adolescent Neuromotor Control Research. Professor Tucker teaches across 10 UQ programs with class sizes ranging from 70-1400 students, demonstrating her commitment to education alongside her research leadership.
Bogdan Iancu is a University Lecturer in the Department of Information Technology at the Faculty of Science and Engineering, Åbo Akademi University. He holds a PhD and Docent qualification in Computer Science, with extensive expertise in artificial intelligence and computer vision applications, particularly in the maritime domain. His academic career spans numerous research projects and publications that bridge theoretical AI concepts with practical industry applications. Dr. Iancu's research focuses on AI applications in maritime technology, with special emphasis on object detection systems, security challenges in AI models, and sustainable technological solutions. He has developed benchmark datasets like ABOships and ABOships-PLUS that have become valuable resources for researchers in maritime computer vision. His work addresses critical challenges including adversarial attacks on object detection systems, as evidenced by his 2025 publication on TOG Adversarial Attacks in YOLO Models. The analysis of his recent publications reveals a clear progression from foundational dataset creation to advanced security analysis and neurosymbolic approaches that combine neural networks with symbolic reasoning. His research shows increasing sophistication in addressing real-world challenges in maritime AI systems, with particular attention to robustness, security, and practical implementation. Dr. Iancu actively participates in numerous research projects including EDISS (Engineering of Data-intensive Intelligent Software Systems), SMARTER (Sea4Value Smart Terminals), and DECATRIP (Decarbonizing Transport Corridors). These projects involve collaboration with industry partners across Finland and Europe, focusing on applying AI to solve real-world challenges in maritime transport, digitalization, and sustainability. He has contributed to the academic community through teaching courses in Artificial Intelligence, Data Science, and Graph Algorithms, and through active participation in the Finnish Artificial Intelligence Society. His work aligns with UN Sustainable Development Goals, particularly those related to industry innovation, infrastructure, and climate action through projects like DECATRIP that focus on decarbonizing transport corridors.
