جست‌وجوی استاد و پژوهشگر

Eric Wideraمشاهده پروفایل

استاد

• Palliative Care
• Geriatrics
• Hospice Care
• +۱۱ مورد دیگر

Eric Widera is a Professor of Clinical Medicine in the Division of Geriatrics at the University of California San Francisco (UCSF) School of Medicine. He serves as Director of the Hospice & Palliative Care Service at the San Francisco VA Medical Center, where he leads clinical, educational, and programmatic initiatives. He is a nationally recognized clinician-educator with leadership roles in the American Academy of Hospice and Palliative Medicine (AAHPM) and the Association of Directors of Geriatrics Academic Programs (ADGAP), where he served as past president. Dr. Widera completed his education with a B.S. in Biology from the University of California, Irvine, an M.D. from UCSF, followed by residency in Internal Medicine at Mount Sinai Hospital and fellowship in Geriatric Medicine at UCSF. He further enhanced his academic skills through the Teaching Scholars program and Diversity, Equity, and Inclusion Champion Training at UCSF. His research and academic focus centers on improving care for older adults with serious illness through educational innovation, prognostication, communication, and policy. He is deeply engaged in medical education, having directed the Geriatrics Fellowship at UCSF for over a decade and currently mentoring residents, fellows, and pharmacy trainees. A key interest is the role of digital media in medical education, exemplified by his co-founding of GeriPal, a leading podcast and blog, and ePrognosis, an online prognostic calculator tool. His recent publications span palliative care, Alzheimer’s disease, medical ethics, and health policy, often addressing critical issues in aging and end-of-life care. His scholarly output is extensive and impactful, with recent articles in JAMA , JAMA Internal Medicine , and The New England Journal of Medicine . The body of his work demonstrates a consistent focus on practical clinical challenges, ethical dilemmas, and system-level improvements in care for vulnerable older populations. Themes include prognostic communication, advance care planning, dementia care, and the integration of palliative services across specialties. Dr. Widera has received numerous scientific awards recognizing his excellence, including: Hastings Center Cunniff-Dixon Physician Award (2011) AAHPM Hospice and Palliative Medicine Leaders Under 40 (2015) PDIA Palliative Medicine National Leadership Award (2014) "Visionary in Hospice and Palliative Medicine" Award (2018) Excellence in Teaching Award, Academy of Medical Educators, UCSF (2022) Master Clinician, Council of Master Clinicians, UCSF (2024) He has been the recipient of multiple grants, including the Geriatric Academic Career Award (GACA), and his work has influenced national policy and clinical guidelines. He is an active advisor and educator, shaping the next generation of geriatrics and palliative care leaders. Through his clinical leadership, educational programs, digital platforms like GeriPal, and national advocacy, Dr. Widera plays a pivotal role in advancing the fields of geriatrics and palliative medicine. His work is supported by a robust interdisciplinary team at the San Francisco VA, and he collaborates widely with researchers across UCSF and nationally. His leadership in developing educational resources and digital tools has significantly expanded the reach and impact of geriatrics and palliative care knowledge.

Tim Lynarمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Computer Science
• Machine Learning
• +۶ مورد دیگر

Dr. Tim Lynar serves as a Senior Lecturer at the University of New South Wales Canberra within the School of Systems & Computing. With a strong background in both academic research and industry practice, he has established himself as a leading figure in cyber security and computer science. His work bridges theoretical research with practical applications, focusing on innovative solutions for complex computing challenges across multiple domains including IoT security, machine learning applications in cyber defense, and high-performance distributed systems. Dr. Lynar's research interests span a wide spectrum of cyber security applications, with particular emphasis on the application of machine learning techniques to security challenges and the innovative use of epidemiological approaches to understand and combat cyber threats. His work in modeling & simulation, statistical & data analysis, network & systems administration, and high-performance distributed computing demonstrates his commitment to developing comprehensive security frameworks that address evolving threats in digital environments. The interdisciplinary nature of his research connects computer science with biological modeling approaches, creating novel methodologies for understanding security vulnerabilities. Analysis of Dr. Lynar's recent publications reveals a strong trend toward applying advanced machine learning techniques to cyber security challenges, particularly in IoT environments. His work increasingly integrates epidemiological models with security frameworks, creating a unique approach to threat detection and mitigation. The research spans practical applications in network security, drone systems, and AI security, demonstrating both theoretical depth and real-world applicability. A notable pattern is the consistent application of cutting-edge deep learning architectures like Vision Transformers and Variational Autoencoders to solve specific security problems across diverse domains. IBM Master Inventor (2016) Multiple IBM Innovation Awards (2011-2018) Client Value Outstanding Technical Achievement Awards (2015-2016) High Value Patent Awards (2014-2016) Best Article Award – International Journal of Information Systems & Social Change (2010) Multiple research scholarships from 2007-2010 Dr. Lynar's extensive patent portfolio demonstrates significant industry impact, with numerous issued US patents spanning diverse applications from energy efficient supercomputing to vehicle collision avoidance and drone-based microbial analysis. His research has attracted substantial industry collaboration, particularly with IBM, where he received multiple prestigious awards including the IBM Master Inventor designation. The practical applications of his work are evident in the wide range of patented technologies addressing real-world security and optimization challenges across multiple industries. Dr. Lynar's work spans multiple research domains simultaneously, with active projects in cyber security, drone systems, AI safety, and maritime traffic analysis. His research methodology consistently combines theoretical modeling with practical implementation, often leveraging simulation environments to test and validate approaches before real-world deployment. The interdisciplinary nature of his work creates connections between traditionally separate fields, enabling innovative solutions to complex problems.

Jutta Brunnéeمشاهده پروفایل

استاد

• Public International Law
• International Environmental Law
• International Legal Theory
• +۲ مورد دیگر

Jutta Brunnée is Dean and University Professor at the University of Toronto Faculty of Law, holding the James Marshall Tory Dean's Chair. She is a leading scholar in international law with a focus on public international law, international environmental law, and international legal theory. As Dean of one of Canada's premier law schools, she oversees academic programming, faculty development, and strategic initiatives while maintaining an active research agenda. Her leadership extends to international academic circles through editorial positions and participation in global scholarly organizations. Professor Brunnée's educational background reflects her international perspective: Diplôme d'études françaises du 2ième degree - Université de Dijon, France (1982) Referendar Juris (First State Examination) - Rhineland Palatinate, Germany (1985) LL.M. - Dalhousie University, Halifax, Nova Scotia (1987) Doctor of Laws (summa cum laude) - Johannes Gutenberg-Universität, Mainz, Germany (1989) Assessor Juris (Second State Examination) - Ministry of Justice, Hessen, Germany (1989) Her research explores the intersection of international legality and legal practices in mediating stability and change within the international legal order. Professor Brunnée has made significant contributions to understanding how international environmental law functions as a dynamic system that balances procedural and substantive elements. Her work on climate change law has been particularly influential, examining how international legal frameworks can effectively address complex global environmental challenges while maintaining legitimacy and effectiveness. She approaches international law through an interactional lens, emphasizing how legal practices shape and are shaped by state and non-state actors. Analysis of her recent publications reveals a consistent focus on the evolving nature of international law, particularly in environmental contexts. Her scholarship demonstrates increasing attention to the relationship between procedural mechanisms and substantive outcomes in international environmental governance. There's a clear trajectory toward examining how international law responds to complex global problems like climate change while maintaining its legitimacy. Her work consistently bridges theoretical frameworks with practical applications, showing how legal theory informs real-world challenges in international environmental governance. Professor Brunnée's significant contributions to the field have been recognized with prestigious awards: American Society of International Law's 2018 Certificate of Merit "in a specialized area of international law" for International Climate Change Law American Society of International Law's 2011 Certificate of Merit "for preeminent contribution to creative scholarship" for Legitimacy and Legality in International Law Elected Fellow of the Royal Society of Canada (2013) Elected Associate of the Institut de Droit International (2017) Delivered a course at The Hague Academy of International Law (2019) Throughout her career, Professor Brunnée has supervised numerous graduate students and collaborated on major research projects examining international environmental governance. Her scholarly leadership extends to editorial roles with the American Journal of International Law (2006-2016) and multiple book series. She has served as academic advisor to governmental bodies, including the Canadian Department of Foreign Affairs where she worked as "Scholar-in-Residence" (1998-99). Her influence extends to policy development through participation in international law commissions and advisory boards. Professor Brunnée maintains active engagement with multiple scholarly communities through her roles on the Advisory Board of Transnational Environmental Law, as Co-Rapporteur for the Commission on Harm Prevention Rules at the Institut de Droit International, and as Chair of the Academic Advisory Board at the Max-Planck-Institute for International and Foreign Public Law in Heidelberg.

Alberto Gambinoمشاهده پروفایل

استاد

• Civil Law
• Corporate Law
• Mergers and Acquisitions
• +۱۷ مورد دیگر

Alberto Gambino serves as Full Professor of Private Law (IUS/01) and Deputy Vice-Rector at the European University of Rome. He holds multiple prestigious positions including Commissioner of the European Commission against Racism and Intolerance (ECRI) of the Council of Europe in Strasbourg, Member of the National Bioethics Committee, and Judge of the Patent and Trademark Appeals Commission at the Ministry of Enterprise and Made in Italy (MIMIT). Additionally, he is President of the Science & Life Study Center, CEI, and the Italian Academy of the Internet Code (IAIC). As a civil cassation lawyer, he owns the Gambino law firm and participates in managing research organizations and implementing national and international research projects. Professor Gambino's research spans numerous legal domains with particular emphasis on Civil Law, Corporate Law, Mergers and Acquisitions, Corporate Governance, and Intellectual Property. His work bridges traditional legal frameworks with emerging digital and technological challenges, particularly in the areas of bioethics, data protection, and internet governance. He has made significant contributions to understanding the intersection of law with information technology, media, telecommunications, and consumer protection in both national and European contexts. His scholarly output reveals a consistent focus on evolving legal challenges in the digital age, with recent publications examining antitrust issues in digital markets, sports governance, intellectual property in AI systems, and data protection frameworks. His work demonstrates a sophisticated understanding of how traditional legal principles must adapt to contemporary technological and social realities while maintaining core legal values. Commissioner of the European Commission against Racism and Intolerance (ECRI) of the Council of Europe Member of the National Bioethics Committee Judge of the Patent and Trademark Appeals Commission at MIMIT President of the Science & Life Study Center President of CEI President of the Italian Academy of the Internet Code (IAIC) Professor Gambino actively contributes to legal practice through his law firm while maintaining a robust academic profile. His editorial work with prestigious scientific journals and involvement in national and international research projects demonstrate his commitment to advancing legal scholarship. His expertise in both theoretical and applied law positions him as a key figure in shaping contemporary legal discourse, particularly in the intersection of traditional legal frameworks with emerging digital challenges.

• Wireless Sensor Networks
• Internet of Things (IoT)
• Network Security
• +۷ مورد دیگر

Professor Mohammed Salamah is a distinguished faculty member in the Computer Engineering Department at Eastern Mediterranean University's Faculty of Engineering. He maintains an office in room 114 and can be contacted at +90 392 630 1149/1334 or via email at muhammed.salamah@emu.edu.tr. His academic website provides additional resources for students and colleagues. Dr. Salamah earned his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University in 1988, 1990, and 1996 respectively, establishing a strong foundation for his career in network communications and wireless systems. His research interests span multiple critical areas in modern networking, with particular expertise in Wireless Sensor Networks, Internet of Things (IoT) security, Mobile Communications, and Energy Efficiency in network protocols. Professor Salamah has made significant contributions to the understanding of network security mechanisms, trust management systems, and optimization of wireless communication protocols. An analysis of his recent scholarly output reveals a strong focus on security challenges in IoT communication systems, controller placement optimization in software-defined wireless sensor networks, and trust-based malicious node detection schemes. His work demonstrates consistent attention to practical network performance issues while addressing emerging challenges in next-generation communication technologies. Throughout his academic career, Professor Salamah has demonstrated exceptional commitment to student mentorship, supervising numerous graduate students through their research journey. His administrative contributions include service as an associate editor, reviewer, and session chair for academic conferences. His laboratory work focuses on practical implementations of wireless communication protocols, with emphasis on energy efficiency, security mechanisms, and performance optimization for various network architectures including cellular networks, cognitive radio systems, and wireless sensor networks.

• Epidemiology
• Public Health
• Emergency Medicine
• +۵ مورد دیگر

Reinhold Muller is a Professor at James Cook University's College of Medicine and Dentistry, specifically within the Department of Public Health, Tropical Medicine and Rehabilitation Sciences. His work spans multiple disciplines with a strong focus on Indigenous health, epidemiology, and emergency medicine in the Australian context, particularly in Queensland and remote communities. Dr. Muller's research interests are extensive and interdisciplinary, focusing primarily on Indigenous health issues, epidemiological methods, emergency department practices, ultrasound diagnostics, and public health interventions. His work frequently addresses health disparities in remote and Indigenous communities, with particular attention to injury prevention, alcohol policy impacts, nutritional status, and healthcare access. He has developed expertise in medical education, particularly in ultrasound training methodologies, and has contributed significantly to understanding the epidemiology of various health conditions in tropical and remote settings. Analysis of Dr. Muller's publication record reveals a strong emphasis on practical, community-based health research with immediate clinical applications. His work spans public health interventions, diagnostic methods, epidemiological studies, and medical education innovations. A notable trend is his consistent focus on addressing health disparities in Indigenous and remote communities through evidence-based approaches. His research frequently employs robust epidemiological methods and often involves multidisciplinary collaborations across medical specialties. Co-authored the textbook "Epidemiology" published by Oxford University Press Developed and validated assessment tools for Indigenous cognitive health Conducted significant research on alcohol management plans in remote communities Published extensively on ultrasound applications in various clinical settings Dr. Muller has been involved in numerous research grants focused on Indigenous health, emergency medicine, and public health interventions in remote communities. His collaborative approach is evident through his extensive co-authorship network spanning multiple institutions and disciplines. His research has directly informed health policy and clinical practice, particularly in the areas of injury prevention and healthcare delivery in remote settings. Dr. Muller has supervised numerous research projects and has been instrumental in developing research capacity in regional and remote health contexts. His work frequently involves collaboration with clinical teams across James Cook University Hospital and other regional health services, focusing on improving healthcare delivery systems and developing evidence-based interventions for vulnerable populations.

Brian L. Cutlerمشاهده پروفایل

استاد

• Applied Social Psychology
• Law and Public Policy
• Judgment and Decision Making
• +۷ مورد دیگر

Brian L. Cutler is a Professor and Media Psychology Program Director at Fielding Graduate University, with additional appointment as Professor of Forensic Psychology at the University of Ontario Institute of Technology. With over 30 years of faculty experience spanning two U.S. and one Canadian university, he has established himself as a leading authority in forensic psychology and legal psychology. Dr. Cutler earned his Ph.D. in Psychology from the University of Wisconsin at Madison in 1987. His academic journey includes tenured faculty positions at multiple institutions and 19 years of academic administration experience. He has continuously conducted psychological research on legal issues since 1983, establishing a robust scholarly career. Dr. Cutler's research program focuses on the critical intersection of psychology and law, with particular expertise in eyewitness identification, false confessions, and recorded criminal interrogations. His work spans Applied Social Psychology, Law and Public Policy, Judgment and Decision Making, and Person Perception. His research has significant implications for legal procedures, criminal justice reform, and the prevention of wrongful convictions. His scholarly contributions have helped shape best practices in eyewitness identification procedures and interrogation techniques. Analysis of Dr. Cutler's publication record reveals a consistent focus on improving the reliability of eyewitness evidence and understanding the psychological dynamics of interrogations. His research demonstrates how memory contamination can occur in lineup identifications, how coercive interrogation tactics can produce false confessions, and how technological advancements impact legal proceedings. Recent work has examined the effects of the pandemic on courtroom procedures and the development of standardized assessment instruments for interrogations. Throughout his career, Dr. Cutler has supervised numerous master's theses and doctoral dissertations. He has authored or co-authored significant research grants and has served as a consultant and expert witness in high-profile legal cases involving eyewitness identification and coercive interrogation. His expertise is regularly sought by legal professionals seeking to understand the psychological factors that impact legal evidence. As the founder and president of Coral Coast Group, Dr. Cutler extends his scholarly work into practical applications, providing behavioral research services to diverse clients. He has taught continuing legal education courses to attorneys across the United States and has held leadership positions including editor-in-chief of Law and Human Behavior (2005-2011) and president of the American Psychology-Law Society (2011-2013).

• Network and system measurements
• Performance analysis
• Security
• +۱۲ مورد دیگر

Simone Ferlin is an Adjunct Senior Lecturer at Karlstad University working with 5G and Internet evolution. She completed her PhD in computer science in 2017 at the Simula Research Lab and Universitetet i Oslo under the supervision of Dr. Ozgu Alay and Prof. Michael Welzl. Her PhD dissertation focused on increasing robustness in multipath transport with MPTCP. Dr. Ferlin's educational background includes a PhD in Computer Science from the Simula Research Lab and Universitetet i Oslo (2017). Her doctoral research centered on enhancing robustness in multipath transport protocols, specifically focusing on MPTCP (Multipath TCP). She also completed undergraduate work that contributed to a book project with Prof. Friedrich Oehme on electronics and circuit technology. Dr. Ferlin's research spans multiple domains at the intersection of networking, systems, and performance engineering. Her primary interests include network and system measurements, performance analysis, security, and congestion control. She investigates how networks like the Internet evolve, examining technology development, adoption patterns, and their impacts on various entities. Additionally, she explores ways to harmonize security and privacy while making them more usable and assessable. Her work particularly focuses on transport layer and multipath transport protocols, examining their performance and security aspects. She also investigates application and transport layer performance, automation, and monitoring. Her research extends to network programming in both Linux kernel and user space, mobile broadband networks from 2G to 5G, and their intersection with the Internet. She is deeply engaged in observability, distributed and system performance monitoring, and automation. Analysis of Dr. Ferlin's recent publications reveals a strong focus on next-generation networking technologies. Her work spans multiple domains including 5G/6G networks, transport protocols (particularly QUIC and MPTCP), network virtualization, container orchestration, and the application of machine learning to networking problems. She has increasingly incorporated large language models into network configuration and automation research. Her publications demonstrate a consistent emphasis on performance measurement, optimization, and security across diverse networking environments from the edge to the cloud. Dr. Ferlin has received notable recognition for her research contributions: Best paper award at IEEE ICIN'21 for 'Learning-based Incast Performance Inference in Software-Defined Data Centers' Applied Networking Research Prize (ANRP)'25 winner for 'NetConfEval: Can LLMs Facilitate Network Configuration?' Dr. Ferlin is actively involved in mentoring the next generation of networking researchers. She has co-supervised numerous Master's and PhD students across multiple institutions including Karlstad University, KTH, TU Berlin, University of Oslo, and universities in Brazil. Her students have worked on diverse topics including NAT64 performance comparison, system tracing visualization, network observability, ML applications to multipath transport, FEC integration with QUIC, high-performance networking for 5G, congestion control, shared bottleneck detection, multipath IoT applications, and container runtime performance. She is also involved in several significant research projects including Vinnova's SEMLA (Securing Enterprises via Machine-Learning-based Automation), Horizon Europe's CODECO (Cognitive Decentralised Edge Cloud Orchestration), and the Knowledge Foundation of Sweden's DRIVE (Data-driven Latency-Sensitive Mobile Services for a Digitized Society). Dr. Ferlin serves as Workshop Chair for ACM SIGCOMM '25, is a member of the ACM/IRTF Applied Networking Research Workshop (ANRW) steering committee, and co-chairs the Internet Congestion Control Research Group (ICCRG) at the IRTF. She previously served as Associate Technical Editor for IEEE Communications Magazine and has been active on numerous program committees for major networking conferences including SIGCOMM, CoNEXT, IMC, and PAM.

Vall Castelló, Juditمشاهده پروفایل

استاد

• Health Economics
• Labour Economics
• Public Policy Evaluation
• +۳ مورد دیگر

Judit Vall Castelló is a Full Professor in the Department of Economics at the Universitat de Barcelona and a key researcher at the Institut d’Economia de Barcelona (IEB-UB), where she serves as Director of the Public Policies Research Program. She is also an external affiliated researcher at CRES-UPF and a Research Fellow at IZA. Her academic affiliations reflect a strong commitment to interdisciplinary research in public policy and applied economics. Her research focuses on the evaluation of public policies, particularly in Health Economics and Labour Economics . She employs advanced econometric methods to assess the causal impact of policy interventions on health outcomes, labor market dynamics, and social inequalities. Her work often uses quasi-experimental designs and natural experiments to draw robust conclusions. The trends in her recent publications reveal a consistent engagement with pressing societal issues such as healthcare access, aging populations, unemployment, mental health, and policy reforms. Her studies span multiple countries and leverage large administrative datasets, contributing significantly to both academic literature and evidence-based policymaking. Scientific Awards: ICREA Academia (2022) Fulbright-Schuman Grant Robert Solow Postdoctoral Fellowship Pre-doctoral Marie Curie Research Fellow Judit Vall Castelló has advised numerous PhD and Master’s students in economics and public policy, though specific names are not listed. She has secured competitive research funding through national and international programs, including collaborations with NBER, UNICEF, and Cambridge University. Her research has informed policy debates in Europe and beyond. She is actively involved in research teams at IEB and CRES-UPF, contributing to collaborative projects on health systems, labor markets, and fiscal federalism. Her leadership in the Public Policies Research Program fosters interdisciplinary dialogue and innovation in policy evaluation.

Shi Liمشاهده پروفایل

استاد

• Theoretical Computer Science
• Design and Analysis of Algorithms
• Combinatorial Optimization
• +۱۱ مورد دیگر

Shi Li is a Professor in the Theory Group at the Department of Computer Science and Technology, School of Computer Science, Nanjing University. He previously held faculty positions at the University at Buffalo (2015–2023) as Assistant and Associate Professor, and was a Research Assistant Professor at Toyota Technological Institute at Chicago (2013–2015). He earned his Ph.D. from Princeton University in 2014 under Moses Charikar and completed his B.S. in Computer Science and Technology at Tsinghua University, where he was part of Andrew Chi-Chih Yao’s Special Pilot Class. His research lies at the intersection of theoretical computer science and combinatorial optimization, with a focus on the design and analysis of algorithms for problems in clustering, scheduling, network design, facility location, and online algorithms. He also explores learning-augmented algorithms and differential privacy in algorithmic contexts. His work combines deep theoretical insights with practical algorithmic frameworks, often leveraging linear programming relaxations, iterative rounding, and randomized techniques. The recent publications highlight a consistent trend in approximation algorithms, particularly in clustering (e.g., correlation clustering, fair k-set selection), scheduling (e.g., unrelated machine scheduling, load balancing), and robust optimization. His work frequently appears in top-tier theoretical venues such as STOC, FOCS, SODA, and ICALP, with increasing emphasis on fairness, privacy, and efficiency in algorithm design. Best Paper Award of Track A, ICALP 2011 Co-winner of Best Paper Award, FOCS 2012 Invited to Special Issue of SICOMP (FOCS 2017 paper) Best Paper Award, COCOON 2018 Invited to Special Issue of SICOMP (STOC 2019 paper) Best Paper Award of Track A, ICALP 2024 Outstanding Paper Award, SPAA 2024 Shi Li has advised several PhD and master’s students, including Yuda Feng, Han Dai, Zihao Liang, and Jia Ye, and has mentored postdoctoral researcher Ruilong Zhang. He has served on numerous program committees (e.g., STOC, SODA, ICALP) and is an Editorial Board Member of ACM Transactions on Algorithms . He teaches core algorithm courses such as Design and Analysis of Algorithms and Advanced Algorithms , and actively collaborates with researchers worldwide. His lab focuses on theoretical foundations of efficient and fair algorithm design, with applications in large-scale data analysis and distributed systems.

Márk Jelasityمشاهده پروفایل

استاد

• Distributed Systems
• Peer-to-Peer Computing
• Gossip Protocols
• +۷ مورد دیگر

Márk Jelasity is a Full Professor in the Department of Algorithms and AI at the University of Szeged, Hungary, where he has been working since 2016. Previously, he served as a research advisor (equivalent to full professor) and senior research scientist at the Research Group on Artificial Intelligence (RGAI) of the Hungarian Academy of Sciences. His career includes numerous international research positions at institutions in Sweden, Norway, France, Italy, and the Netherlands. Professor Jelasity's research spans distributed systems, peer-to-peer computing, gossip protocols, and decentralized machine learning. His work bridges theoretical foundations with practical applications, particularly in the areas of self-organizing systems and privacy-preserving computation. His research has significant implications for smart grid technologies, secure distributed systems, and robust machine learning. His publication record shows a clear evolution from foundational work in gossip protocols and peer-to-peer systems toward cutting-edge research in decentralized machine learning, adversarial robustness, and privacy-preserving AI. Recent publications demonstrate his leadership in comparing gossip learning with federated learning approaches and exploring novel techniques for enhancing robustness in neural networks. Bolyai Plaquette (2015) 10 years best paper award at ACM/IFIP/USENIX Middleware Conference (2014) Best paper award at IEEE International Conference on Peer-to-Peer Computing (2014) Best paper award at IEEE International Conference on Self-Adaptive and Self-Organizing Systems (2013) Scientific Award of the Faculty of Science and Informatics, University of Szeged (2013) Fulbright Scholarship to visit Cornell University (2013) Multiple Bolyai Scholarships (2007-2014) Professor Jelasity has been actively involved in the academic community as an organizer of major conferences including DAIS'16 (TPC co-chair), SASO 2010 (General Co-Chair), and SASO 2007 (TPC co-chair). His leadership in the field is evidenced by his extensive publication record in top venues and his role in editing special issues and conference proceedings.

Melanie Mitchellمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Science
• Complex Systems
• +۴ مورد دیگر

Melanie Mitchell is a Professor at the Santa Fe Institute, where she conducts research at the intersection of artificial intelligence, cognitive science, and complex systems. Her work focuses on conceptual abstraction and analogy-making in artificial intelligence systems, seeking to understand the mechanisms that enable both human and machine intelligence. Mitchell received her PhD in Computer Science from the University of Michigan in 1990 and has held positions at numerous institutions including the University of Michigan, Los Alamos National Laboratory, the Oregon Graduate Institute, and Portland State University. Her research bridges the gap between theoretical understanding of intelligence and practical AI development. Her recent publications explore fundamental questions about AI understanding, reasoning capabilities, and the relationship between language models and world knowledge. She has developed novel evaluation frameworks for assessing analogical reasoning and abstraction in AI systems, challenging assumptions about what current AI can truly comprehend. Her work often examines the limitations of large language models while proposing pathways for more robust and human-like artificial intelligence. 2010 Phi Beta Kappa Science Book Award for "Complexity: A Guided Tour" Finalist for the 2023 Cosmos Prize for Scientific Writing for "Artificial Intelligence: A Guide for Thinking Humans" Senior Scientific Award from the Complex Systems Society Distinguished Cognitive Scientist Award from UC Merced Herbert A. Simon Award of the International Conference on Complex Systems Mitchell actively advises numerous PhD students and postdoctoral researchers, fostering the next generation of researchers in AI and complex systems. She has also developed educational resources including the popular online course "Introduction to Complexity" on Complexity Explorer. Her public outreach includes a Substack newsletter "AI: A Guide for Thinking Humans," Science Magazine columns, and the podcast series "The Nature of Intelligence."

Kanwarpal Singhمشاهده پروفایل

پژوهشگر

• Biomedical Optics
• Optical Coherence Tomography
• Endoscopic Imaging
• +۳ مورد دیگر

Kanwarpal Singh serves as Group Leader and Head of the Microendoscopy Research Group at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany. His research focuses on developing and applying advanced optical imaging techniques, particularly Optical Coherence Tomography (OCT) and related technologies, for biomedical applications. As part of the Max Planck Society, one of Germany's premier research organizations, his work bridges fundamental optical physics with clinical medicine. Dr. Singh's research interests center on biomedical optics and imaging, with particular expertise in endoscopic OCT, optical elastography, and polarization-sensitive imaging techniques. His work spans from developing novel optical systems and probes to applying these technologies in clinical settings for disease diagnosis and monitoring. Key areas include gastrointestinal imaging, dermatological applications, and neurological tissue characterization. His research demonstrates a consistent trajectory from fundamental optical engineering to translational medical applications, with particular emphasis on improving imaging depth, resolution, speed, and clinical usability. Analysis of Dr. Singh's recent publications (2021-2025) reveals a strong focus on overcoming technical limitations in biomedical imaging. His work addresses critical challenges including motion artifacts in in vivo measurements, depth of focus limitations, polarization sensitivity issues, and the development of portable, clinically practical systems. The research shows increasing clinical relevance, with applications spanning inflammatory bowel disease monitoring, esophageal tissue analysis, skin biomechanics, and central nervous system regeneration studies. Dr. Singh leads the Microendoscopy Research Group within the MPL's research structure. While specific lab details aren't provided in the text, his numerous publications describing novel probe designs and imaging systems suggest an active laboratory focused on optical system development, with strong connections to clinical collaborators for in vivo and patient studies. His research appears to involve both theoretical modeling and practical implementation of optical technologies.

• Visual Arts
• Graphic Design
• Illustration
• +۷ مورد دیگر

Assoc. Prof. Kalina Hristova is a dedicated academic and artist at New Bulgarian University's School of Arts and Design, serving in the Department of Fine Arts. With a robust background in visual arts and graphic design, she has established herself as a significant figure in Bulgaria's contemporary art scene through both scholarly work and extensive exhibition participation across Europe. Her expertise spans visual communication, digital media in art education, and the social impact of artistic expression. Dr. Hristova's academic journey reflects deep commitment to artistic excellence: 2017: Achieved the academic title of "Associate Professor" in Visual Arts (Graphic Design, Graphics, and Illustration) 2014: Appointed "Senior Assistant" in Visual Arts 2012: Earned her Doctorate with dissertation "Photography and Drawing in Advertising Posters" 2003: Master's degree in "Graphic and Spatial Design" from New Bulgarian University 2002: Bachelor's degree in "Graphics" from National Academy of Art Her research explores the intersection of traditional art forms and digital technologies, with special focus on poster design as a medium for cultural communication and social commentary. Dr. Hristova examines how visual elements impact audience perception in urban environments and digital spaces, bridging theoretical understanding with practical applications in advertising, branding, and social issues. Her work consistently addresses contemporary challenges in creative industries and art education. Analysis of her recent publications reveals growing emphasis on art-technology intersections, particularly examining AI's impact on creative industries, digital communication strategies in visual arts, and artistic adaptation during global crises. Her scholarship demonstrates how visual communication transcends traditional boundaries while addressing pressing social and technological issues through both theoretical frameworks and practical applications. Dr. Hristova has held significant administrative roles including Erasmus Coordinator for the Department of Arts and Design, member of the Master's Faculty Council, and served as Department Head from 2020-2024. Her extensive exhibition record demonstrates active engagement with the art community, with over 100 solo and group exhibitions across Bulgaria, Romania, Austria, France, and Iceland. She has participated in numerous international residencies including Cite Internationale Des Arts in Paris and collaborative projects like "Postcards for Seyðisfjörður" in Iceland. Her professional engagement extends to membership in the Bulgarian Section of Graphic Design and The International Society for Education Through Art (InSEA), demonstrating commitment to advancing art education and practice nationally and internationally. Dr. Hristova currently teaches Visual Corporate Identity and maintains active creative practice alongside her academic responsibilities, with exhibitions scheduled through 2025.

• Power Electronics
• Semiconductor Device Modeling
• Electromagnetic Modeling
• +۲ مورد دیگر

Dr. Ivana Kovacevic is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. Her research focuses on power electronics, semiconductor device modeling, and electromagnetic analysis of wide bandgap devices. ETH Zürich, Department of Information Technology and Electrical Engineering Contact: kovacevic@aps.ee.ethz.ch Her research explores SiC power MOSFETs, emphasizing their dynamic performance, reliability, and optimization through advanced modeling techniques like the Partial Element Equivalent Circuit (PEEC) method. She investigates parasitic extraction, thermal behavior, and stability issues in power modules, contributing to design improvements for high-efficiency systems. Her publications highlight trends in electromagnetic modeling, device-circuit interactions, and reliability analysis under extreme conditions. Key subfields include gate resistance dynamics, frequency-dependent capacitances, and multi-chip module design. Current projects involve virtual prototyping for power electronics and mission profile-based optimization of wearable power systems.