جست‌وجوی استاد و پژوهشگر

• Biometric Recognition
• Presentation Attack Detection
• Deepfake Forensics
• +۵ مورد دیگر

Giulia Orrù is an Assistant Professor of Computer Engineering at the University of Cagliari, Italy, affiliated with the Department of Electrical and Electronic Engineering. She holds an M.S. and Ph.D. in Electronic Engineering and Computer Science from the same institution. Her research focuses on biometric recognition, presentation attack detection, deepfake forensics, and cybersecurity. She is a core member of the Pattern Recognition and Applications Laboratory (PRA lab), contributing to projects like BullyBuster (anti-bullying detection systems) and LivDet competitions (fingerprint liveness detection). Dr. Orrù has authored numerous publications in top-tier conferences and journals, with a strong emphasis on advancing secure authentication systems and combating adversarial attacks in biometrics. She actively serves as a referee for pattern recognition and cybersecurity venues. Teaching activities include courses such as Technologies for Information Security and Artificial Intelligence and Security . Research interests span multimodal biometrics, 3D face reconstruction for surveillance, AI-driven anti-bullying systems, and deepfake detection algorithms. Her work bridges theoretical advancements (e.g., diffusion models for anomaly detection) with real-world applications like forensic recognition and crowd analysis. Notable projects include the Synthetic Data for Face Recognition (SdFR) initiative and contributions to the Face Deepfake Detection Challenge. Dr. Orrù's lab explores cutting-edge techniques in EEG-based personal recognition and vulnerability analysis of medical AI systems. She maintains active participation in international research networks and has developed open-source tools for evaluating biometric system resilience against spoofing attacks.

• Control Systems
• System Identification
• Signal Processing
• +۷ مورد دیگر

Juan Luis Zamora Macho is an Associate Professor in the Department of Electronics and Automation at the School of Engineering, Comillas Pontifical University. He is also a researcher at the Technological Research Institute (IIT), where he has been affiliated since 1991. His academic and research career is deeply rooted in electrical systems, with a focus on control, identification, and signal processing. His research interests include control systems , system identification , signal processing , power electronics , and renewable energy integration . He has made significant contributions to the development of control strategies for dynamic voltage restorers, unified power quality conditioners, and HVDC systems. His work bridges theoretical control design with practical applications in smart grids and industrial automation. The analysis of his recent publications (2018–2023) reveals a sustained focus on power quality improvement , harmonic suppression , and advanced control algorithms (e.g., resonant, repetitive, and multi-reference-frame controllers) applied to power electronics devices. Earlier works emphasize motor control and parameter estimation in induction machines, showcasing a long-term research trajectory in system modeling and real-time control. Director of the Connected Industry Chair Award for the best Final Degree Project 2022-23 Director of the 1st Prize, ICAI Industrial Innovation Association, for the best Final Year Project 2010-11 Juan Luis Zamora Macho has supervised multiple PhD students, including M. Ochoa and J. Roldán-Pérez, and currently advises J. García-Aguilar and D. Cubillo Llanes. He has led numerous research projects funded by public agencies (e.g., Ministry of Science, FEDER) and industry partners such as Siemens Gamesa, Gamesa, and Endesa. His project portfolio includes work on wind turbine integration, HVDC-VSC systems, and smart grid technologies. He has also delivered training courses and organized academic events, demonstrating strong engagement in knowledge transfer and academic leadership. He is actively involved in research teams and laboratories focused on power systems and control at IIT, contributing to both fundamental and applied research in electrical engineering. His collaboration network includes researchers from national and international institutions, reflected in joint publications and technical reports.

• Theology
• Biblical Theology
• Covenant Theology
• +۷ مورد دیگر

Dr. John Wind is an Associate Professor of Theology at the College of Undergraduate Studies - School of Theology, Colorado Christian University (CCU). He previously served in China with his family for eight years in missionary work and now contributes to theological education and campus ministry at CCU. Ph.D. in Missions – Southern Baptist Theological Seminary Adv. M.Div. in Theology – Southern Baptist Theological Seminary B.A. in Bible/Communications – Northwestern College Dr. Wind's research and teaching focus on biblical theology, covenant theology, public theology, and Christian ethics, particularly as they relate to social issues like immigration, systemic sin, and creation care. He critically engages with contemporary theological figures such as Christopher Wright and David VanDrunen, emphasizing biblical restraint and covenantal frameworks. His recent scholarly work spans topics including the social gospel, two kingdoms theology, and the mission of the church. These publications and presentations reflect a consistent engagement with evangelical thought, biblical authority, and ethical application in public discourse. Dr. Wind is actively involved in professional societies including the Evangelical Theological Society and the Evangelical Missiological Society. He has delivered numerous presentations and chapel messages at CCU and academic conferences, demonstrating commitment to both scholarly and spiritual formation. Faculty Advisor, CCU Cross Nations Refugee Ministry Member, CCU Strategic Priorities Task Force (2020–2021) Member, CCU Science and Theology Task Force (2019) CCU Local Church Liaison (2017–2019) Fellow, CCU Centennial Institute Dr. Wind is also engaged in mentoring and institutional leadership, advising student initiatives and contributing to strategic planning. His work bridges academic theology, pastoral insight, and public engagement, fostering a robust evangelical intellectual presence at CCU and beyond.

Diana Hummelمشاهده پروفایل

دانشیار

• Demographics
• Supply systems
• Biodiversity
• +۵ مورد دیگر

Diana Hummel is an Associate Professor in the Department of Social Sciences at Goethe University Frankfurt's Faculty of Social Sciences, Institute of Political Science. She has been a research associate at the Institute for Social-Ecological Research (ISOE) since 2002 and served as a member of the institute's management from April 2014 to March 2023. At ISOE, she coordinates teaching and junior researchers as well as the institute's research program, and previously headed the research focus on population development and healthcare. Hummel received her education in education, psychology, and social sciences at the University of Frankfurt am Main. She earned her doctorate in 1999 with a dissertation on "Population Discourse: Demographic Knowledge and Political Power" and completed her habilitation in 2009 on "Providing Care to the Population – Studies on Population Dynamics and the Transformation of Care Systems." Diana Hummel's research spans several interconnected fields of social-ecological inquiry. Her work centers on the complex relationships between demographic processes and environmental systems, with particular attention to supply systems, biodiversity, and climate change. She has developed significant expertise in social ecology, examining how societal relations to nature shape and are shaped by environmental transformations. Her research integrates gender perspectives, exploring how demographic changes intersect with environmental challenges and sustainability transitions. Hummel's approach is inherently transdisciplinary, bridging social sciences with ecological research to address pressing sustainability issues in the Anthropocene. She has made substantial contributions to understanding population dynamics, migration-environment linkages, and the governance of natural resources. Hummel's scholarly output reveals a consistent focus on social-ecological transformations, with increasing attention to biodiversity conservation, climate adaptation, and the governance challenges of the Anthropocene. Her recent work demonstrates a sophisticated integration of theoretical frameworks with practical policy implications, particularly regarding normative dimensions of environmental conflicts and the role of gender in sustainability transitions. She has developed expertise in analyzing how demographic changes interact with environmental systems, particularly in contexts of resource scarcity and climate vulnerability. Diana Hummel actively contributes to several professional networks including the Cornelia Goethe Center for Women's Studies and Gender Relations (CGC), the International Union for the Scientific Study of Population (IUSSP), the Population-Environment Research Network (PERN), and was an associate member of the German Committee for Sustainability Research in Future Earth (2015-2017). As coordinator for teaching and junior researchers at ISOE, Hummel plays a significant role in mentoring the next generation of social-ecological scholars. She has been involved in numerous research projects addressing critical sustainability challenges, including biodiversity conservation, climate adaptation, gender-responsive climate policy, and the social dimensions of environmental change. Her leadership extends to initiatives like the "Brilliant Minds for Social-Ecological Transformations" Summer School, which focuses on applied training for young researchers in transdisciplinary project design and implementation. At ISOE, Hummel contributes to various research teams focused on pressing environmental challenges. She has been instrumental in projects examining biodiversity dynamics (SoCoDES, NormA, SoCuLa), climate adaptation (FlutNetz), sustainable infrastructure (IMAGINE), and the social dimensions of environmental change (micle, demons). Her work consistently emphasizes the importance of integrating social and ecological perspectives to develop robust solutions for sustainability challenges.

Otis Brawleyمشاهده پروفایل

استاد

• Cancer Epidemiology
• Oncology
• Public Health Policy
• +۶ مورد دیگر

Otis Brawley, MD , is a Bloomberg Distinguished Professor and Professor in the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health . He also serves as Vice Chair for IDARE (Inclusion, Diversity, Anti-Racism, and Equity) in the same department, reflecting his leadership in advancing equity in cancer research and public health. Dr. Brawley earned his BS and MD from the University of Chicago in 1981 and 1985, respectively. His academic journey has positioned him as a leading voice in cancer epidemiology and public health policy. His research is centered on cancer epidemiology , with a strong emphasis on cancer screening , racial disparities in cancer outcomes , prostate and breast cancer , and the design and infrastructure of clinical trials . His work bridges clinical medicine and population health, aiming to improve cancer prevention and equity in healthcare delivery. The recent publications (2024–2025) highlight his engagement with pressing issues in oncology, including the impact of the COVID-19 pandemic on cancer trends , the need for a robust national clinical trial infrastructure , and the use of remote monitoring in decentralized trials . A recurring theme is the examination of race and health disparities , particularly in prostate cancer, underscoring his commitment to health equity. While specific scientific awards are not listed in the provided text, his editorial contributions to major journals such as Cancer , JAMA Health Forum , and JAMA Network Open reflect recognition as a thought leader in the field. Dr. Brawley is actively involved in advising and research collaboration, as evidenced by his co-authorship on numerous peer-reviewed articles. Although specific grants or funding sources are not detailed, his role in shaping national clinical trial policy suggests significant influence on research funding and priorities. He is also engaged in academic teaching, as indicated by his involvement in the Cancer Epidemiology Prevention and Control Seminars at Johns Hopkins. His work is highly collaborative, involving partnerships across institutions and disciplines, particularly in efforts to increase minority enrollment in clinical trials and improve data collection methods. These collaborations reflect a team-based approach to addressing complex public health challenges in oncology.

Masashi Sugiyamaمشاهده پروفایل

استاد

• statistical machine learning
• weakly supervised learning
• learning from noisy supervision
• +۶ مورد دیگر

Masashi Sugiyama is a Professor at the Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, where he has been serving since 2014. He concurrently serves as the Director of the RIKEN Center for Advanced Intelligence Project (AIP) since 2016, leading research groups focused on fundamental AI technologies, AI applications, and social issues of AI. His academic journey began at Tokyo Institute of Technology, where he earned his Bachelor, Master, and Doctor of Engineering degrees in Computer Science in 1997, 1999, and 2001 respectively, before becoming an Assistant Professor and later Associate Professor at the same institution. Sugiyama's research primarily focuses on statistical machine learning, with particular expertise in weakly supervised learning, learning from noisy supervision, and learning under distribution shift. His work has established important theoretical frameworks for density ratio estimation, covariate shift adaptation, and non-stationary environments. He has developed numerous practical algorithms including KLIEP (Kullback-Leibler importance estimation procedure), uLSIF (unconstrained least-squares importance fitting), and LSDD (least-squares density difference), which have become standard tools in the machine learning community. Analysis of his recent publications reveals a strong emphasis on reliable and robust machine learning techniques that can handle imperfect supervision and data distribution changes. His work spans theoretical foundations, algorithm development, and practical applications across various domains including bioinformatics, anomaly detection, and dimensionality reduction. The recurring themes in his research include direct density ratio estimation methods, importance weighting techniques, and mutual information-based approaches for various machine learning tasks. Award for Science and Technology from the Japanese Minister of Education, Culture, Sports, Science and Technology (2022) Japan Academy Medal (2017) Japan Society for the Promotion of Science Award (2017) Faculty Award from IBM (2007) Nagao Special Researcher Award from the Information Processing Society of Japan (2011) Young Scientists' Prize for the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Japan (2014) Sugiyama has served as program co-chair for major machine learning conferences including NeurIPS 2015, AISTATS 2019, and ACML 2010 and 2020. He has received prestigious fellowships including the Alexander von Humboldt Foundation Research Fellowship (2003-2004) and the European Commission Program Erasmus Mundus Scholarship (2006). He is the (co-)author of influential machine learning monographs including Machine Learning in Non-Stationary Environments (MIT Press, 2012), Density Ratio Estimation in Machine Learning (Cambridge University Press, 2012), Statistical Reinforcement Learning (Chapman & Hall, 2015), and Machine Learning from Weak Supervision (MIT Press, 2022). At RIKEN AIP, Sugiyama leads research initiatives focused on developing robust AI systems that can operate reliably in real-world conditions with imperfect data. His laboratory maintains an active software development effort, providing open-source implementations of many of his research contributions, which has significantly influenced both academic research and practical applications of machine learning.

• Zoonotic diseases
• Epidemiology
• Diagnostics
• +۵ مورد دیگر

Claudia A Munoz-Zanzi is an Associate Professor in the Department of Environmental Health Sciences at the University of Minnesota School of Public Health. With expertise spanning zoonotic diseases, epidemiology, and infectious disease modeling, her research significantly contributes to understanding and addressing global health challenges, particularly in the areas of leptospirosis, toxoplasmosis, and other neglected tropical diseases. Her work bridges veterinary medicine, public health, and environmental science through a One Health framework that examines the complex interactions between humans, animals, and ecosystems. Dr. Munoz-Zanzi earned her DVM from the University of Concepcion (1995), followed by a Master's in Preventive Veterinary Medicine (1997) and PhD in Epidemiology (2002), both from the University of California at Davis. Her academic journey reflects a strong foundation in veterinary medicine that evolved into specialized expertise in epidemiological methods and public health applications. Her research interests focus on zoonotic disease transmission dynamics, particularly leptospirosis across different geographic and ecological contexts. She employs innovative approaches including machine learning algorithms to identify drivers of disease transmission at the animal-environment-human interface. Her recent work spans diverse settings from rural Chile to Colombia, examining how landscape variables, socio-demographic factors, and environmental conditions influence disease risk. She has made significant contributions to understanding toxoplasmosis in wildlife and domestic animals within Chile's Valdivian Temperate Rainforest ecosystem. Analysis of her recent publications reveals a consistent focus on neglected tropical diseases with particular emphasis on leptospirosis. Her work demonstrates progression from basic epidemiological studies to more complex modeling approaches that integrate environmental, social, and biological factors. There's a clear trend toward interdisciplinary collaboration and application of advanced analytical methods to address complex public health challenges in diverse global settings. Delta Omega Honorary Society in Public Health (2024) University of Minnesota Distinguished Global Professor, Global Engagement Award (2022) Dr. Munoz-Zanzi has secured significant research funding from major organizations including NIH, CDC, Pan American Health Organization, United Nations, and National Science Foundation. Her current projects include CAFE: a Research Coordinating Center for Climate Change and Health, and continued work with the Global Leptospirosis Environmental Action Network (GLEAN). She has led numerous international collaborations, particularly focused on US-Mexico border health issues and South American disease surveillance. Her grant portfolio demonstrates expertise in both domestic and global health challenges, with increasing emphasis on climate change impacts on infectious disease patterns. Through her leadership in the Global Leptospirosis Environmental Action Network and other international collaborations, Dr. Munoz-Zanzi has established a robust research network spanning multiple continents. Her work integrates field epidemiology with advanced analytical approaches, creating synergies between academic researchers, public health practitioners, and community stakeholders. This collaborative approach enables comprehensive investigations of disease transmission dynamics across diverse ecological and social contexts.

Edith Zagonaمشاهده پروفایل

استاد پژوهشی

• Water resource systems and modeling
• Planning and operations of multi-objective river and reservoir systems
• Hydropower modeling and optimization
• +۴ مورد دیگر

Edith Zagona is a Research Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado, Boulder, where she also serves as Director of the Center for Advanced Decision Support for Water and Environmental Systems (CADSWES). With a career spanning over three decades at the university, she has made significant contributions to water resources management through research, software development, and international collaboration. Her educational background includes a Ph.D. in Civil and Environmental Engineering from the University of Colorado, Boulder (1992), an M.S. in Civil Engineering from Colorado State University, Fort Collins (1983), a B.S. in Civil Engineering from the University of Arizona, Tucson (1978), and a B.A. in Philosophy from the University of Arizona, Tucson (1975). Dr. Zagona's research focuses on water resource systems and modeling, with particular emphasis on planning and operations of multi-objective river and reservoir systems. Her work integrates hydropower modeling and optimization with development of decision support tools for water resources management under conditions of climate uncertainty. She has pioneered approaches to decision making under deep uncertainty, helping water managers navigate complex trade-offs between competing objectives such as water supply, hydropower generation, environmental flows, and recreational uses. Her expertise extends to analysis and adaptive management for climate change impacts on water systems. Her recent publications reveal a strong focus on the Colorado River Basin, where she applies advanced decision science techniques to address long-term planning challenges under climate change. She has also made significant contributions to understanding transboundary water issues, particularly regarding the Grand Ethiopian Renaissance Dam on the Nile River. Her work bridges technical water resources engineering with policy-relevant decision support, creating tools that help stakeholders evaluate trade-offs and identify robust management strategies across multiple sectors. Dr. Zagona's scientific recognition includes: Principal Inventor of RiverWare ® , a river, reservoir and hydropower management software licensed by CU Office of Technology Transfer and used by hundreds of water managers globally Release of RiverWare 9.4 in January 2025 Development of associated tools including RiverSMART, RiverWISE, and Demand Input Tool As Director of CADSWES, she leads a team that has secured approximately $2 million per year in research funding from agencies including the Tennessee Valley Authority, Bureau of Reclamation, U.S. Army Corps of Engineers, and Bonneville Power Administration. She has advised numerous graduate students and has developed and taught courses on water resources management, optimization, and fluid mechanics. Her technical expertise has been sought internationally, with training workshops conducted in India, Mexico, China, Sudan, and Armenia, demonstrating the global impact of her work on water resources management practices. CADSWES, under Dr. Zagona's leadership, has become a premier center for developing and applying decision support systems for river basin planning and management. The center's work with RiverWare ® has transformed how water managers approach complex operational decisions across river systems worldwide, integrating engineering principles with decision science to address contemporary water challenges.

• Mechanical Engineering
• Dynamics
• Vibrations
• +۶ مورد دیگر

Alain Batailly is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal. He holds the Tier-2 Canada Research Chair in Design and Optimization of Non-Regular Mechanical Systems and serves as Co-director of the Laboratory for Acoustics and Vibration Analysis (LAVA). His research focuses on nonlinear dynamics in turbomachinery systems, particularly blade/casing interactions in aircraft engines. His research interests include rotor/stator interactions within turbomachines, bladed disks dynamics, non-linear dynamics, component mode synthesis methods, and macroscopic modeling of abradable removal. His work combines theoretical modeling, numerical simulation, and experimental validation to address complex vibration problems in aerospace applications. Professor Batailly's publication record shows a clear focus on nonlinear structural dynamics in turbomachinery, with recent work emphasizing computational methods for analyzing blade/casing contacts, optimization of compressor blades, and development of robust numerical techniques for handling discontinuities in nonlinear systems. His research has significant implications for improving the reliability and performance of aircraft engines. Tier-2 Canada Research Chair in Design and Optimization of Non-Regular Mechanical Systems Professor Batailly actively supervises doctoral and master's students, with several current students working on projects related to turbomachinery dynamics and nonlinear structural interactions. His laboratory (LAVA) is well-funded, as evidenced by Polytechnique Montréal's successful research funding year in 2024 where teams obtained nearly $47 million in grants. The Laboratory for Acoustics and Vibration Analysis (LAVA), which Professor Batailly co-directs, investigates noise and vibration issues in cutting-edge technology sectors including aviation, rail and road transport, nuclear energy production, and professional athletic equipment. LAVA employs four full-time researchers and around fifteen doctoral and master's students.

• Borderline Personality Disorder
• Avoidant Personality Disorder
• Social Psychology
• +۵ مورد دیگر

Kathy R. Berenson is a Professor in the Department of Psychology at Gettysburg College within the College of Arts and Sciences. With a robust publication record spanning over a decade from 2012 to 2024, Dr. Berenson has established herself as a prominent researcher in clinical and social psychology, particularly focusing on personality disorders and mental health. Her institutional affiliation is consistently documented through numerous faculty publications in Gettysburg College's repository. Dr. Berenson's research program demonstrates exceptional focus on borderline and avoidant personality disorders, with groundbreaking contributions to understanding interpersonal dysfunction, emotional regulation, and attributional styles in these conditions. Her work reveals how individuals with these disorders process rejection and acceptance differently, with borderline features linked to suspicious, self-bolstering responses and avoidant features associated with perceived inferiority. More recently, her research has expanded to examine contemporary issues including social media's impact on body image and the therapeutic potential of self-compassion interventions, particularly for young women exposed to idealized body imagery. This evolution shows her ability to address both fundamental clinical questions and emerging societal challenges through rigorous empirical investigation. Dr. Berenson maintains an active mentoring program, consistently involving undergraduate students in her research as evidenced by numerous co-authored publications with students identified by their graduation years (e.g., '16, '17, '18). Her collaborative research approach spans multiple projects examining complex psychological phenomena from various angles, including experimental studies, daily diary assessments, and social media content analyses. While specific grant information isn't detailed in the provided materials, her sustained research productivity suggests successful external funding support.

• Facilities Planning and Design
• Supply Chain Management
• Production Planning and Control
• +۵ مورد دیگر

Dr. Uday Venkatadri is a Professor and Department Head in the Department of Industrial Engineering at Dalhousie University in Halifax, Nova Scotia, Canada. He has been teaching at Dalhousie University since July 2001, progressing from Assistant Professor (2001-2006) to Associate Professor (2006-2019) and finally to Professor (2019-present). His extensive experience includes prior roles as a Lead Architect for supply chain planning products at Baan and as a Research Associate at Université Laval in Québec City. Dr. Venkatadri's educational background includes: Ph.D. in Industrial Engineering from Purdue University M.S. in Industrial Engineering from Clemson University B.Tech in Mechanical Engineering from Indian Institute of Technology, Banaras Hindu University His research focuses on addressing design, planning, and control issues in production and distribution systems in the era of Industry 5.0 and Hyperconnected Logistics. He employs Mixed Integer Linear Programming as the cornerstone of his methodological approach, while incorporating trends in big data analytics, machine learning, and artificial intelligence. Dr. Venkatadri's work spans several critical areas including facilities planning and design, supply chain management, production planning and control, and sustainable manufacturing systems. He has developed frameworks for perishable food supply chains, healthcare logistics during pandemics, offshore wind energy maintenance, and cellular manufacturing systems. Dr. Venkatadri's recent publications demonstrate a strong emphasis on sustainable and resilient supply chains, maintenance optimization, and the application of advanced analytics to logistics problems. His work addresses contemporary challenges such as pandemic response in healthcare supply chains, optimization of renewable energy systems, and management of perishable goods in food supply chains. He frequently collaborates with researchers across disciplines, particularly with Claver Diallo, Abdelhakim Khatab, and other colleagues in the field of industrial engineering. Dr. Venkatadri has received numerous awards and honors throughout his career: 2021: Teaching award by the Logistics and Supply Chain Division of the Institute of Industrial and Systems Engineers 2016: Best Teacher of the Year award, Department of Industrial Engineering, Dalhousie University 2004: Best Teacher of the Year award, Department of Industrial Engineering, Dalhousie University 1991-1993: Summer David Ross Fellowship from Purdue University for excellence in teaching 1987-1990: David Ross Fellowship from Purdue University for Ph.D. work 1988: Institute of Industrial Engineer's General Motors First Place Master's thesis award Dr. Venkatadri has advised numerous graduate students, with many co-authoring publications with him. His research has been supported by various grants focusing on supply chain optimization, maintenance systems, and sustainable manufacturing. He is actively involved in the academic community as a Senior Member of IIE (Institute of Industrial Engineers), a Member of Engineers Nova Scotia, and a Member of the Canadian Operational Research Society (CORS). His teaching portfolio includes undergraduate and graduate courses in computational methods, operations research, supply chain management, facilities design, and quality control.

Alex Hillsمشاهده پروفایل

استاد

• Telecommunications
• Wireless Networking
• Digital Signal Processing
• +۷ مورد دیگر

Alex Hills is a Professor of Engineering and Public Policy at Carnegie Mellon University (CMU), where he has held multiple leadership roles including Vice Provost, Chief Information Officer, and Founding Director of the Information Networking Institute. He led the development of 'Wireless Andrew,' the world's first large-scale Wi-Fi network, pioneering modern wireless campus infrastructure. His research interests include telecommunications, wireless networking, digital signal processing, and technology deployment in remote and developing regions. He focuses on error detection in wireless systems, policy implications of engineering solutions, and using technology for global development. The available article highlights his expertise in how digital networks handle voice data, particularly the causes of robotic distortion in phone calls due to packet corruption and error correction mechanisms. His work bridges engineering and public understanding of digital infrastructure. Distinguished Service Professor at CMU Author of books on Wi-Fi development and connecting remote Alaskan villages Senior advisor to 'Technology Consulting in the Global Community' program Expert quoted in Consumer Reports on telecom issues Alex Hills has advised numerous students through university programs and initiatives, particularly those focused on applying technology in developing nations. He has secured institutional support for global outreach projects and continues to mentor students in interdisciplinary tech-policy work. His career spans academia, government service (including as Alaska’s Deputy Commissioner of Administration), and military leadership. He leads or contributes to teams working on resilient communication networks, especially in underserved areas. His past and ongoing work involves building robust, low-infrastructure telecommunications systems suitable for remote communities and disaster response scenarios.

Weifeng Suمشاهده پروفایل

استاد

• Wireless communications
• MIMO systems
• Space-time coding
• +۴ مورد دیگر

Weifeng Su is a Professor and Director of Graduate Admissions in the Department of Electrical Engineering at the State University of New York (SUNY) at Buffalo, School of Engineering and Applied Sciences. He joined SUNY Buffalo in 2005 and has established himself as a leading researcher in wireless communications and networking. Dr. Su received his educational degrees from prestigious institutions: PhD in Electrical Engineering from the University of Delaware (2002), PhD in Mathematics from Nankai University, China (1999), and BS in Mathematics from Nankai University (1994). Prior to joining SUNY Buffalo, he was a Postdoctoral Research Associate at the University of Maryland (2002-2005). His research focuses on wireless communications and networking , with particular expertise in MIMO systems, space-time coding, MIMO-OFDM systems, and cooperative communications for wireless networks. His work bridges theoretical foundations with practical implementations, as evidenced by his numerous publications and patents. Dr. Su has made significant contributions to space-time block codes, cooperative communication protocols, and MIMO system design. Dr. Su's publication record demonstrates consistent high-impact research spanning two decades, with recent work focusing on federated learning over edge networks, advanced MIMO techniques, and cooperative communication protocols. His research shows a progression from fundamental coding theory to more complex network-level optimizations and emerging applications. 2010 IEEE International Conference on Communications Best Paper Award University of Maryland Invention of the Year Award (2005) University of Delaware Signal Processing and Communications Faculty Award (2002) Dr. Su has maintained significant editorial responsibilities, serving as Editor for IEEE Transactions on Wireless Communications since 2012, and previously as Associate Editor for IEEE Transactions on Vehicular Technology (2005-2009) and IEEE Signal Processing Letters (2007-2012). He co-authored the influential book 'Cooperative Communications and Networking' published by Cambridge Press in 2009 and co-organized special issues on cooperative communications for IEEE journals.

• Digital Signal Processing
• Telecommunications
• Global Navigation Satellite Systems (GNSS)
• +۳ مورد دیگر

Andrea Nardin is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) within Politecnico di Torino. He is an active member of the Interdepartmental Center CARS@PoliTO (Center for Automotive Research and Sustainable Mobility), contributing to advancements in telecommunications and navigation systems. His research spans Digital Signal Processing Global Navigation Satellite Systems (GNSS) Signal Integrity Wireless Communication Andrea's scholarly work focuses on GNSS signal applications, ranging from combating electromagnetic interference to developing robust tracking architectures and orbit determination algorithms. His recent publications highlight innovations in jammer localization, lunar navigation, and Kalman filter optimization for space environments. Teaching engagements include collaborations on courses such as Numerical Estimation Methods for Radionavigation Hardware & Wireless Security Satellite Navigation Systems across multiple academic programs. He supervises PhD candidate Francesco Fiorina in the field of Electrical, Electronics, and Communications Engineering.

• Services Marketing
• Multi-Channel Distribution
• ICT in Marketing
• +۶ مورد دیگر

Dr. Marcin Lipowski is a Professor at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland, where he serves as both the Dean of the Faculty of Economics and Head of the Department of Marketing since October 1, 2018. With a habilitated doctorate (PhD hab.) from the University of Economics in Katowice, Faculty of Management, he has established himself as a leading expert in marketing with a particular focus on services, multi-channel distribution, and digital marketing strategies. His leadership extends to overseeing academic programs and research initiatives within one of UMCS's major faculties. Professor Lipowski's educational background includes a habilitation from the University of Economics in Katowice, where he specialized in management sciences within the discipline of management and quality sciences. His academic credentials are complemented by extensive practical experience in university administration, having previously served as Head of the Communication and Promotion Office at UMCS from 2009-2011 and as the author of the university's visual identity system. He has also shared his expertise internationally as a Visiting Professor at Lviv Polytechnic in Ukraine, teaching courses on public relations and corporate identity. His research interests span a comprehensive range of marketing topics with particular emphasis on services marketing, multi-channel distribution strategies, the integration of ICT technologies in marketing, marketing communications, public relations, and advanced marketing research methodologies. Professor Lipowski has made significant contributions to understanding consumer behavior across different generations, particularly regarding online channel usage and the perceived media richness of various marketing channels. His work bridges the gap between theoretical marketing concepts and practical business applications, with increasing focus on sustainable consumption, energy markets, and digital transformation in recent years. His research demonstrates strong methodological rigor, frequently employing quantitative approaches to investigate complex marketing phenomena. Analysis of Professor Lipowski's recent publications reveals a clear evolution in his research focus from traditional marketing channels to more contemporary issues of digital transformation, sustainability, and behavioral aspects of consumer decision-making. His work demonstrates strong interdisciplinary connections between marketing, environmental studies, and technology adoption, with a particular emphasis on the Polish market context. The research consistently applies robust quantitative methodologies to investigate real-world marketing challenges faced by businesses and consumers alike, with notable contributions in energy consumption behavior, sustainable product adoption, and smart transportation solutions. BEST PAPER award at The MakeLearn & TIM Conference for publication 'Online Channel in Services Buying Process' (Timisoara, Romania, May 26, 2016) Principal Investigator for National Science Center Grant 2014/13/B/HS4/01612 'Modeling service distribution in network economy' (2015-2018) Reviewer for prestigious journals including European Journal of Marketing, Spanish Journal of Marketing, and International Journal of Management and Enterprise Development Member of the Polish Scientific Marketing Society based in Poznań As an academic leader, Professor Lipowski has supervised numerous students and has been actively involved in educational initiatives including MBA programs at Lublin Polytechnic where he taught 'Promotion' courses. His practical consulting experience spans EU-funded projects such as 'Inicjatywa Jest Kobietą' and various marketing strategy development initiatives for startups emerging from EU development programs between 2019-2022. He has coordinated quantitative research for outdoor festivals in Lublin under a grant from the Ministry of Culture and National Heritage for Warsztaty Kultury in 2017, and has conducted research for Lublin city's 'Academic City' strategy priorities in 2012 and 2014. Since 2024, he has been executing customer needs research for newly established enterprises. Professor Lipowski maintains active collaborations with academic institutions including Lviv Polytechnic in Ukraine. His research group at UMCS focuses on contemporary marketing challenges, particularly in the areas of sustainable consumption, digital transformation of service channels, and energy market behavior. He continues to expand his research agenda into emerging areas including service robots, smart transportation solutions, and the intersection of digital maturity with sustainable behaviors.