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Jeroen van den BrinkView profile

Professor

• Materials Science
• Quantum Matter Theory
• Correlated Electron Systems
• +9 more

Professor Jeroen van den Brink is Director of the Institute for Theoretical Solid State Physics at IFW Dresden and Professor of Theoretical Condensed Matter Physics at Technische Universität Dresden. He has held significant academic positions including Visiting Scholar at Harvard University (2016), Visiting Professor at Stanford University (2009), and Extraordinary Professor at Radboud University (2005-2013). His research interests span a broad spectrum of theoretical condensed matter physics including Quantum Matter Theory, Correlated Electron Systems, Topological States of Matter, Quantum Magnetism, and Unconventional Superconductivity. Van den Brink's work particularly focuses on materials with strong spin-orbit coupling such as iridates and ruthenates, where he investigates exotic quantum states including quantum spin liquids and topological phases. His research methodology combines ab initio electronic structure calculations with many-body theory to understand complex quantum phenomena in correlated materials. Analysis of his recent publications reveals a strong focus on topological materials, quantum magnetism, and strongly correlated electron systems. His work frequently bridges theoretical frameworks with experimental observations, particularly through resonant inelastic X-ray scattering (RIXS) techniques. Key themes include Kitaev physics in honeycomb materials, Weyl semimetals, and the interplay between topology and strong correlations. 2020 Van der Waals Professorial Chair, University of Amsterdam 2019 Clark Way Harrison Visiting Professorship, Washington University 2019-2018 Highly Cited Researcher (Web of Science) – top 1% by citations 2018 Humboldt Research Prize 2017 Zernike Chair, Rijksuniversiteit Groningen 2002 Springplank Fellowship 1997 Humboldt Research Fellowship Professor van den Brink has been actively involved in numerous international collaborations and advisory roles, serving on Beamtime Allocation Panels at the Advanced Light Source, Review Committees for the German Science Foundation, and Management Committees for EU COST Actions. His extensive publication record (over 250 papers with more than 15,000 citations and an h-index of 59) demonstrates significant impact across condensed matter physics. He has presented his research at over 125 international conferences and delivered more than 100 invited talks at universities and research institutes worldwide. As Director of the Institute for Theoretical Solid State Physics at IFW Dresden, he leads a research group focused on quantum materials with strong electronic correlations, topological properties, and novel magnetic phenomena. His institute collaborates closely with experimental groups at IFW Dresden and international facilities including synchrotron radiation sources.

• Wireless Communication
• Quantum Communication
• Robotics and Mechatronics Systems
• +11 more

Professor TUĞRUL ÇAVDAR is a distinguished academic at Karadeniz Technical University's Faculty of Engineering, Department of Computer Engineering, where he has served as a full Professor since 2024. Previously, he held positions as Associate Professor (2018-2024), Assistant Professor (2007-2018), and Lecturer (2005-2007). He also served as a visiting Assistant Professor at Northeastern University's Electrical & Computer Engineering department from 2012-2013. Currently, he serves as Head of Department at Karadeniz Technical University since 2010, and as Erasmus Program Institutional Coordinator since 2013. Dr. Çavdar completed his Doctorate (1997-2003), Postgraduate (1994-1997), and Undergraduate (1990-1994) studies all in Electronic Engineering at Karadeniz Technical University. His research spans multiple cutting-edge domains including Wireless Communication, Quantum Communication, Robotics and Mechatronics Systems, Humanoid Robots, Quantum Cryptography, Computer Networks, and Artificial Intelligence applications. His work bridges theoretical foundations with practical implementations in next-generation communication systems. His publication portfolio demonstrates a clear progression from traditional communication systems toward quantum and AI-enhanced networking solutions. Early works focused on wireless communication algorithms and robotics, while his recent publications emphasize quantum communication, machine learning applications in networking, and IoT security. His research shows strong interdisciplinary connections between computer engineering, quantum mechanics, and artificial intelligence. 170 H-Index (WoS) 351 H-Index (Scopus) 496 H-Index (Scholar) 3 H-Index (TrDizin) 4 H-Index (Sobiad) Professor Çavdar has supervised 11 theses including 5 doctoral and 6 master's students. He has secured numerous research grants from TÜBİTAK and other funding bodies, with recent projects focusing on quantum communication, AI optimization in composite materials, and autonomous systems. He serves as Editor for the Turkish Journal of Electrical Engineering & Computer Sciences and has been actively involved in reviewing for multiple international journals. His leadership extends to serving on assistant professorship appointment committees for various Turkish universities.

• Algorithms
• Combinatorics
• Complexity Theory
• +3 more

Sundar Vishwanathan is a Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay (IIT Bombay), where he has established himself as a leading researcher in theoretical computer science. His academic career spans over three decades with consistent contributions to algorithms, combinatorics, and complexity theory. His research interests form a cohesive body of work focused on theoretical foundations of computing: Algorithms (particularly approximation algorithms, online algorithms, and randomized algorithms) Combinatorics and extremal set theory Complexity theory and circuit lower bounds Graph theory and graph algorithms Combinatorial optimization problems Vishwanathan's publication record demonstrates remarkable consistency and depth, with publications spanning from 1990 to 2024. His recent work focuses on graph algorithms (particularly maximum matching problems), approximation algorithms for combinatorial optimization, and circuit complexity. He has developed innovative techniques using linear algebra, combinatorial methods, and probabilistic analysis to solve challenging theoretical problems. His approach often bridges theoretical insights with practical algorithmic considerations. His collaborative work spans multiple research groups, with frequent co-authorships with researchers such as Ashish Chiplunkar, Sumedh Tirodkar, and Sreyash Kenkre. His research has evolved from foundational work in online graph coloring in the 1990s to more specialized topics in combinatorics and recently to circuit lower bounds, showing both depth in core areas and adaptability to evolving research landscapes.

Leonardo LombardiniView profile

Professor

• Plant Physiology
• Environmental Stress in Plants
• Coffee Research
• +2 more

Leonardo Lombardini serves as Professor and Head of the Department of Horticulture within the College of Agricultural & Environmental Sciences at the University of Georgia, a position assumed on September 1, 2019. Previously, he held professorial appointments at Texas A&M University (2002-2019), where he founded the Center for Coffee Research and Education in 2016 and served as Deputy Director of World Coffee Research starting in 2014. His educational credentials include a Laurea degree (B.S. + M.S. equivalent) in Forestry from the Università degli Studi di Firenze, Italy (1993) and a Ph.D. in Horticulture from Michigan State University (1999), following postdoctoral research at Washington State University's Tree Fruit Research and Extension Center. Dr. Lombardini's research program centers on plant physiology with emphasis on gas exchange mechanisms and environmental stress responses. His work spans coffee physiology under drought conditions, pecan horticulture, vertical hydroponic systems for medicinal plants, and frost management in viticulture. Recent investigations explore biochar applications in coffee production, truffle-pecan agroforestry systems, and innovative horticultural education models. Analysis of his 15 most recent publications (2022-2025) reveals dominant themes in coffee research (40%), specialty crop production systems (27%), and academic leadership (20%). Methodologies include physiological measurements, volatile compound analysis, Q-methodology for educational assessment, and field trials in Mediterranean climates. Dr. Lombardini has secured over $1 million in research funding and published more than 50 peer-reviewed articles. His teaching portfolio includes undergraduate and graduate courses in plant physiology, global agricultural issues, and professional development. Administrative responsibilities constitute 95% of his current appointment, with 5% dedicated to service activities. He leads the Department of Horticulture at UGA while maintaining research connections through the Center for Coffee Research and Education previously established at Texas A&M University, demonstrating sustained leadership in both academic administration and international agricultural research initiatives.

Jean CarlsonView profile

Professor

• Complex Systems Theory
• Theoretical Immunology
• Earthquake Physics
• +10 more

Jean Carlson is a Professor in the Department of Physics at the University of California Santa Barbara, where she heads the Complex Systems Group. Her research spans multiple disciplines including physics, neuroscience, immunology, and earth sciences, with a focus on developing theoretical frameworks for understanding complex systems. She is an active researcher with numerous publications across diverse fields and serves as a mentor to graduate students and postdoctoral researchers. Professor Carlson's research interests center around complex systems theory, with specific applications in theoretical immunology, earthquake physics, neuroscience, granular materials, amorphous solids, and Highly Optimized Tolerance (HOT). Her work on HOT explores the robust yet fragile nature of complex systems across diverse contexts from immune systems to forest fires. She has made significant contributions to understanding friction modeling through constitutive laws, particularly applying Shear Transformation Zone Theory to earthquake physics and granular materials. Her interdisciplinary approach connects physics principles to biological and environmental systems, revealing fundamental patterns in complex phenomena. Analysis of her recent publications reveals a strong trend toward interdisciplinary research that bridges physics with biological and environmental systems. Her work demonstrates consistent application of complex systems theory across diverse domains, from neural networks to earthquake dynamics to immune system function. The research shows increasing integration of computational modeling with empirical data, particularly in neuroscience applications where brain connectivity and learning dynamics are examined through network analysis. Her earthquake physics work consistently applies physical models of friction and strain localization to understand seismic phenomena, while her immunology research applies theoretical frameworks to understand immune system vulnerabilities and tradeoffs. Professor Carlson actively mentors students and postdocs across multiple disciplines, with notable collaborations including Dani Bassett in neuroscience and Nada Petrovic in disaster response modeling. Her research group has secured funding for projects spanning theoretical immunology, earthquake physics, and wildfire management. She has been involved in significant collaborative efforts such as the Network Architectures of Brain Structures and Functions program and the Physics of Climate Change Program at the Kavli Institute for Theoretical Physics at UCSB. Professor Carlson leads the Complex Systems Group at UCSB, which brings together researchers from physics, biology, and environmental science to study robustness, tradeoffs, and feedback in complex, highly connected systems. The group develops multi-scale models to capture important small-scale details and predict large-scale behavior across diverse applications including disaster response, neuroscience, theoretical immunology, earthquake physics, and granular materials. The group has been particularly active in studying Highly Optimized Tolerance (HOT) as a framework for understanding complexity across different domains.

Erica MasonView profile

Assistant Professor

• Special Education
• Mathematics Education
• Disability Studies
• +4 more

Erica Mason is an Assistant Professor in Special Education at the University of Illinois Urbana-Champaign's College of Education. Her research bridges special education and mathematics education, focusing on teachers’ conceptions of disability and capability through research-practice partnerships. She employs critical special education frameworks and investigates classroom autonomy dynamics between general and special educators. Department of Special Education, College of Education Assistant Professor since 2019 Her research interests include: Anti-deficit mathematics instruction for students with disabilities Teacher autonomy and job satisfaction dynamics Deficit language persistence in inclusive education Equity-driven mathematics pedagogy Progress monitoring frameworks for special education Recent publications examine: Autonomy-satisfaction relationships in special education (2023) Racial consciousness in mathematics instruction (2023) Math intervention intensity models (2022) Disability studies in education (2025) Scientific contributions include: Co-developer of mathematics intervention frameworks Critical analyses of inclusionary practices Quantitative studies on teacher satisfaction Qualitative investigations of student camouflaging

• Welfare state
• Poverty
• Social inequalities
• +4 more

Andreea Ioana Alecu serves as Senior Researcher at Oslo Metropolitan University's Centre for Welfare and Labour Research (SVA), specializing in Consumption Research Norway (SIFO). Her work focuses on welfare state dynamics, poverty, social inequalities, trust mechanisms, and labor market discrimination. Her research spans critical areas including: Economic impacts of childhood disabilities on family welfare Labor market inclusion pathways for vulnerable populations Consumer trust in rights protection frameworks NAV caseworker decision-making processes Cross-national welfare comparisons (Norway vs. US) Current projects examine pandemic consequences for equality, European labor market discrimination (Paths2Include), and NAV's labor market engagement. Analysis of her 15 most recent publications reveals strong interdisciplinary focus across sociology, economics, and public policy. Key trends include: Methodologically rigorous mixed-methods approaches Comparative Scandinavian/EU policy analysis Quantitative assessment of welfare program efficacy Intersectional examination of disability, immigration, and socioeconomic status Her research portfolio demonstrates significant contributions to Norwegian social policy through: Annual SIFO reference budget publications NAV policy evaluations EU consumer condition surveys Disability benefit system analyses Alecu actively disseminates findings through academic journals, government reports, and policy conferences including Law and Society Association meetings and European Public Health conferences. Her collaborative work spans multiple OsloMet research groups and international partnerships within the Paths2Include consortium.

Rongqing HuiView profile

Professor

• Optical Communication Systems
• Novel Photonic Devices
• Biosensors
• +6 more

Rongqing Hui is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. His work bridges optical communication systems, photonic device innovation, and biomedical applications such as biosensors and bioimaging. Education : Ph.D. in Electrical Engineering (1993, Politecnico di Torino, Italy); M.S. (1988) and B.S. (1982) in Electrical Engineering from Beijing University of Posts & Telecommunications, China. Research Interests include: Optical/RF Measurement and Biosensors Novel Photonic Devices Optical Communication Systems Publication Trends highlight advancements in coherent lidar, distributed Raman amplification, quantum dot lasers, and digital subcarrier multiplexing for high-speed networks. His work often integrates nonlinear optics, femtosecond lasers, and signal processing. Awards : Miller Award for Distinguished Research (2002) Bellow Scholar Award for Distinguished Research (2012) He has authored two textbooks: Fiber Optic Measurement Techniques (2009) and Introduction to Fiber-Optic Communications (2019). His industrial experience spans roles at Bell-Northern Research, US Naval Research Laboratory, and Italian telecommunication institutes.

• youth optimal development
• parent-child relationships
• broader contexts that shape these dynamics
• +7 more

Marissa Diener is a Professor in the Department of Family & Consumer Studies at the University of Utah. Her research focuses on youth optimal development, parent-child relationships, and the broader contexts shaping these dynamics, particularly in health-related settings. She has held leadership roles as Director of the Certificate in Infant and Early Childhood Mental Health (since 2022) and Director of the LEAP Learning Communities (2017–2023). Education: BA in Psychology from Georgetown University MS in Developmental Psychology from University of Michigan PhD in Developmental Psychology from University of Illinois at Urbana-Champaign Dr. Diener’s research integrates traditional methodologies and community-based participatory approaches to study child development, family dynamics, and autism spectrum disorder. Her work emphasizes youth mental health, telehealth interventions, labor exploitation, and socioemotional development. Her recent publications highlight trends in mental health prevention programs, rural healthcare disparities, and autism transition planning. She has explored topics such as tele-ABR testing, community reintegration post-brain injury, and parent-youth vision alignment for autistic adolescents. Scientific Awards: Excellence in Mentoring Award (2018, College of Social and Behavioral Science) Distinguished Service Award (2011, University of Utah) Distinguished Teaching Award (2010, University of Utah) Borchard Fellowship (2009, Lowell Bennion Community Service Center) Dr. Diener has taught courses such as Thesis Research (Masters/PhD) , Infant Mental Health I , and Foundations of Research . She has secured grants including the CSBS Interdisciplinary Seed Grant (2015) and collaborations with Primary Children’s Hospital. Her service includes mentoring youth through University Neighborhood Partners, working with refugee families, and developing technology-based programs for autistic youth. She actively bridges academia with community needs through vocational training and family-centered interventions.

• Neuroimaging
• Psychiatry
• Depression
• +6 more

Katherine Narr is an Associate Professor at the University of California, Los Angeles (UCLA) , affiliated with the Department of Neurology Psychiatry and Biobehavioral Sciences and the Brain Research Institute . Her work focuses on neuroimaging in psychiatric disorders, particularly depression and neurodevelopmental consequences of prenatal exposures. Neuroimaging biomarkers for antidepressant response Effects of electroconvulsive therapy (ECT) and ketamine on brain structure Developmental impacts of prenatal alcohol/HIV exposure in South African cohorts Her research integrates structural and functional MRI with machine learning to predict treatment outcomes. Collaborations span institutions in the U.S., South Africa, and Europe. Scientific Awards: No specific awards mentioned. Advising & Grants: No explicit student advisement or grant details provided. Key publications highlight collaborations on ECT, ketamine, and developmental neuroimaging studies. Labs & Teams: Collaborates with the Global ECT MRI Research Collaboration (GEMRIC) and South African birth cohort research groups.

Zafar Ali Khan MohammedView profile

Professor

• Wireless Communications
• MIMO Decoding
• Commensal Radar
• +7 more

Professor Zafar Ali Khan Mohammed is affiliated with the Department of Electrical Engineering at Indian Institute of Technology Hyderabad . His research spans advanced wireless communications, cyber-physical systems, and commensal radar technologies. Ph.D. from Indian Institute of Science, Bengaluru Visiting Professor at UC Irvine (2014), University of Southampton (2015) His research interests focus on: 6G Communication Systems Cyber-Physical Systems (CPS) Security Commensal Radar Applications Dynamic Spectrum Allocation Scientific Awards include: INAE Young Engineer Award (2006) Visvesvarya Young Faculty Research Fellowship (2015-2017) IEEE COMSOC/SP Chapter Appreciation Award (2013-2014) His projects involve JICA-funded M2Smart and multiple DST/DeiTy-funded initiatives in cognitive radio and CPS security. Publications highlight innovations in massive MIMO detection , cooperative spectrum sensing , and communication infrastructure sensing .

Hyung Seok KimView profile

Professor

• AI robots
• Wearable AI devices
• Large Language Models
• +7 more

Professor Hyung Seok Kim is a distinguished academic at Sejong University, currently serving as Professor in the Department of AI and Robotics. He also holds significant administrative positions including Dean of the College of Software Convergence at Sejong University. Professor Kim leads the MINES LAB (Mobile Intelligent Embedded Systems Lab), located in Room 211, Chungmu Hall at Sejong University, where he directs research in cutting-edge AI and embedded systems technologies. Professor Kim's educational background includes: Bachelor of Engineering: Department of Electrical Engineering, Seoul National University Master of Engineering: Department of Electrical and Computer Engineering, Seoul National University Doctor of Engineering (Ph.D.): Department of Electrical and Computer Engineering, Seoul National University Professor Kim's research spans multiple domains at the intersection of artificial intelligence and embedded systems. His work focuses on AI robots, wearable AI devices, Large Language Models (LLMs), and on-device AI technologies . His research group develops innovative solutions for emotion recognition, medical imaging analysis, and IoT applications. The MINES LAB specifically targets the integration of AI with embedded systems to create efficient, low-latency solutions for real-world problems ranging from healthcare monitoring to industrial applications. Analysis of Professor Kim's recent publications reveals a strong focus on medical AI applications, federated learning for IoT networks, and multimodal emotion recognition . His work demonstrates consistent innovation in applying deep learning techniques to medical imaging (particularly ophthalmology and cardiology), developing efficient edge-AI solutions for wearable devices, and creating novel network optimization approaches for industrial IoT. The publications show a clear trajectory toward more integrated, privacy-preserving AI systems that can operate effectively on resource-constrained devices. While specific awards to Professor Kim aren't detailed in the provided information, his research group has achieved notable recognition: Dr. Song Seung-hwan, a Ph.D. candidate at the lab, received the Presidential Industrial Service Medal Professor Kim has mentored an extensive number of students throughout his career, with alumni pursuing diverse career paths at leading organizations worldwide. His former students have secured positions at major technology companies including Samsung Electronics, LG Electronics, Kakao, and Amazon, as well as academic positions at universities globally. The MINES LAB currently supports multiple graduate students, post-doctoral researchers, and research assistants working on various AI and embedded systems projects. Professor Kim's research appears to be well-funded, with connections to industry partners including Hyundai Motor Company and Samsung Electronics, though specific grant details aren't provided in the text. The MINES LAB serves as the central hub for Professor Kim's research activities, focusing on AI robots, wearable AI devices, and LLM applications. The lab maintains active collaborations with industry partners and has produced numerous commercial applications through its alumni network. Current research directions include developing low-latency emotion recognition systems, medical imaging analysis tools, and efficient network protocols for IoT applications. The lab environment appears highly collaborative, with both full-time and part-time researchers contributing to various projects across the AI and embedded systems spectrum.

• Computer Graphics
• VR/AR/MR
• Physics-Based Animation
• +7 more

Oh-Young Song is a Professor in the Department of Software at Sejong University's Ocean Humanities College, where he has been a faculty member since 2006. He also serves as a Researcher at the eXtended Reality Research Center and directs the Sejong University Graphics Lab, which focuses on natural phenomena simulation and related applications in special effects and animation. Sejong University, Department of Software (2006-present) Adobe Systems, Visiting Professor (2013-2014) Seoul National University, Automation and Systems Research Institute (2004-2006) Song earned his educational credentials from Seoul National University: B.S. (1998), M.S. (2000), and Ph.D. (2004), all in Electrical Engineering and Computer Science. His research spans computer graphics, VR/AR/MR, physics-based animation, fluid simulation, and deep learning . His work bridges theoretical computer graphics with practical applications in healthcare, IoT, and special effects. Song has developed physics-based animation techniques used in movies and games, with particular expertise in fluid simulation where he holds a US patent for simulating detailed fluid movements using derivative particles. His recent research increasingly integrates AI and deep learning approaches with traditional computer graphics techniques. Analysis of his 15 most recent publications (2021-2024) reveals a strategic expansion of his research into healthcare applications, with significant work in medical image analysis, gastrointestinal disease detection, and secure patient data transmission. His research shows strong interdisciplinary collaboration, particularly between computer graphics and medical informatics, with consistent publication in high-impact journals across computer science and healthcare domains. Song's scholarly achievements include 49 research outputs with 1922 citations and an h-index of 20. His most notable scientific achievement is the US-patented technique for simulating detailed fluid movements using derivative particles, with related papers published in ACM Transactions on Graphics. US Patent for Method of Simulating detailed movements of fluids using derivative particles 49 research publications across computer graphics, VR/AR, and medical AI domains 1922 total citations with h-index of 20 As an educator, Song teaches courses including Advanced Computer Graphics, Algorithms and Practice, and Physics Coding for General Public. He advises graduate students through Master's thesis research and Graduation Research and Career courses. His lab, the Sejong University Graphics Lab, actively collaborates with industry on physics-based animation techniques for special effects and animation in movies and games. Current research directions indicate growing emphasis on integrating extended reality technologies with healthcare applications, particularly in medical simulation and diagnostic support systems.

• Psychiatric and mental health nursing
• Emotional intelligence
• Health education
• +2 more

Professor John Hurley is a credentialed mental health nurse and academic at Southern Cross University within the Faculty of Health and Nursing Department . Holding a PhD in Nursing and serving as School Director for Higher Degree Research in the School of Health and Human Sciences, he combines clinical practice with academic leadership through roles at Headspace Coffs Harbour. With over 100 peer-reviewed publications and an international reputation, his work bridges mental health nursing, emotional intelligence, and healthcare workforce development. Education: B(Counselling) (UNE), PGDip(MentalHlthNurs) (JCU), MSc(Nursing) (USQ), PhD(Nursing) (USQ) His research focuses on mental health nursing , emotional intelligence , and health education , using qualitative methods and realistic evaluation to explore clinical practice, workforce training, and trauma-informed care. Recent publications examine: Mental health nursing workforce readiness Intimate partner violence screening in emergency departments Emotional intelligence in clinical decision-making Rural mental health service delivery Equine parasite management (cross-disciplinary work) His scientific awards include: Fellow of the Australian College of Mental Health Nursing Senior Fellow of the Higher Education Academy John supervises research students using adult learning principles and maintains clinical ties through work with young people at Headspace Coffs Harbour.

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +9 more

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)