Directional Statistics Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۹۱-۷۰۵ از ۷٬۴۸۸ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Eric Wickelمشاهده پروفایل

استاد

University of TulsaUnited States

Eric Wickel, Ph.D., is a Professor and John C. Oxley Endowed Chair of Kinesiology & Rehabilitative Sciences at The University of Tulsa's Oxley College of Health and Natural Sciences. His research focuses on physical behavior assessment using wearable devices and self-report tools, with applications to cardiovascular disease risk factors, sedentary behavior, and youth health outcomes. Education: Ph.D., Iowa State University (2006) M.S., University of Wyoming B.S., University of Wyoming His work examines associations between physical activity, sedentary behavior, and sleep using advanced methods like thigh-worn accelerometers, funded by TSET and Oklahoma Center for the Advancement of Science and Technology. Current research explores emergent assessment tools for daily behavior analysis in health promotion. Notable trends in his publications (2019–2009) include: Physical behavior surveillance in early childhood interventions Methodological advancements in wearable technology validation Developmental patterns of sedentary behavior and activity compliance Maturity-related differences in physical activity among youth After-school period behavioral dynamics Cardiovascular risk factor analysis through longitudinal studies Scientific recognition includes: American Heart Association Institutional Research Advancement Award (2025) Oxley College Dean’s Excellent Faculty Award (2025) TSET Seed Grant (2023) Oklahoma Center for the Advancement of Science and Technology Award (2023) Multiple Oxley College Outstanding Research/Teaching Awards (2020, 2016, 2009) Wickel contributes to community health through Tulsa County Community Health Improvement Plan (CHIP) and serves as faculty affiliate of the TSET Health Promotion Research Center.

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Aleksandra Radenovicمشاهده پروفایل

استاد

Swiss Federal Institute of Technology in LausanneSwitzerland

Aleksandra Radenovic is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) holding multiple positions across the institution. She is a Full Professor at the Laboratory of Nanoscale Biology (LBEN) within the School of Engineering (STI), a Full Professor in Teaching at the School of Life Sciences (SV), and a Full Professor in Teaching at the School of Engineering (STI). Additionally, she serves as Co-Director of both the IBI-STI and IBI-SV administrative units, and is a Member of both the STI School direction and SV School direction. Dr. Radenovic received her PhD from the University of Lausanne in 2003, where she worked with Prof. Dietler in the Laboratory of Physics of Living Matter. Prior to that, she studied physics at the University of Zagreb from 1994-1999, and completed her baccalaureate at a Classical gymnasium in 1994. She conducted postdoctoral research at the University of California, Berkeley from 2004-2007 in the group of Prof. Liphardt. Her research focuses on single molecule biophysics, with particular emphasis on developing techniques and methodologies based on optical imaging, biosensing, and single molecule manipulation. Her laboratory works on three major research directions: (i) developing and using nanopores as platforms for molecular sensing and manipulation, particularly solid-state nanopores in glass nanocapillaries and 2D-material membranes; (ii) studying biomolecular function, especially protein and nucleic acid interactions, using force-based manipulation techniques like optical tweezers and Anti-Brownian Electrokinetic traps; and (iii) developing super-resolution optical microscopy based on single molecule localizations for quantitative cellular imaging. Her work bridges physics, engineering, and biology to create innovative tools for understanding molecular processes at the nanoscale. Analysis of her recent publications reveals a strong focus on nanofluidics, 2D materials (particularly MoS 2 and hBN), nanopore sensing, super-resolution microscopy, and the development of novel instrumentation for biophysical applications. Her research demonstrates increasing interdisciplinary collaboration, integrating materials science, nanotechnology, and biological applications to address fundamental questions in molecular biophysics. Dr. Radenovic has received numerous prestigious awards and grants, including: 2021: ERC Advanced Grant 2021: Optica Fellow 2016: CCMX Materials challenge award 2015: SNSF-ERC Consolidator Grant 2010: ERC Starting Grant 2003: SNSF Fellowship She has successfully advised numerous PhD students whose research spans single molecule biophysics, nanofluidics, and optical techniques. Her laboratory, the Laboratory of Nanoscale Biology (LBEN), is well-equipped for advanced biophysical research, with capabilities in nanopore fabrication, optical trapping, super-resolution microscopy, and 2D materials characterization. Dr. Radenovic has secured significant research funding through competitive grants, including multiple ERC grants, which have supported her innovative research program at the intersection of physics, engineering, and biology.

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Yonathan Shapirمشاهده پروفایل

استاد

University of RochesterUnited States

Professor Yonathan Shapir is a full Professor in the Department of Physics at the University of Michigan, with a joint appointment in Chemical Engineering. Since his arrival in 1985, he has advanced from Assistant Professor to full Professor, pursuing theoretical condensed-matter physics and statistical mechanics. Education: B.Sc. in Physics, Tel-Aviv University (1971) Ph.D. in Physics, Tel-Aviv University (1981) Research Interests: Professor Shapir’s work centers on understanding complex disordered systems through statistical mechanics. His investigations encompass critical phenomena in spin-glasses and random-field systems, classical and quantum transport in dirty metals leading to the metal-insulator transition, polymer statistics, fractal properties of percolation clusters, and kinetic models of surface growth and aggregation. These themes are unified by a deep interest in scaling laws, universality, and the emergent geometry of random media. Publication Trends: Between 2001 and 2010, his articles reveal a concentrated effort on diffusion in dynamically disordered environments, scaling behavior of growing surfaces, and the morphology of organic thin films such as pentacene. Earlier work (1996–2000) explored critical dynamics of dendrimers, surface growth on disordered substrates, and transitions in crystalline roughness. The breadth spans from fundamental statistical-physics questions to applications in materials science and organic electronics. Scientific Awards: Fulbright Award (1981) Bourse Joliot-Curie (1982) Visiting Compton Fellowship at the Technion (1989–1990) Advising & Grants: No explicit lists of students or current funding are provided in the material; however, his extensive publication record with numerous co-authors suggests active mentoring and collaboration. Future directions likely continue along the interface of statistical mechanics and nanoscale materials. Labs & Teams: While no specific laboratory names are given, Professor Shapir’s joint appointment implies active participation in both the Physics Department and the Chemical Engineering program, fostering interdisciplinary teams working on materials growth, transport phenomena, and computational statistical physics.

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Michael Voigtländerمشاهده پروفایل

استاد

Bonn-Rhein-Sieg University of Applied SciencesGermany

Prof. Dr. Michael Voigtländer serves as Honorary Professor of Economics at Bonn-Rhein-Sieg University of Applied Sciences since 2011, while simultaneously leading the Competence Field for Finance and Real Estate Markets at the Cologne Institute of Economic Research (IW Köln) since 2015. He also holds teaching positions at ebs Business School Oestrich-Winkel, irebs Immobilienakademie, Bergische Universität Wuppertal, and Akademie deutscher Genossenschaften. PhD in Economics from University of Cologne Studies in Economics at University of Münster and University of Cologne Scientific Assistant at Economic Policy Seminar, University of Cologne (2000-2005) Voigtländer's research centers on the complex interrelationships between economic conditions, financial markets, and real estate markets, with particular focus on how demographic changes impact property markets and the formulation of effective housing policies. His work bridges theoretical economic principles with practical real estate market applications, examining how macroeconomic trends translate into specific housing market dynamics across German regions. His recent publications demonstrate consistent focus on German real estate market stability, with particular attention to rent control policies, commercial property valuation methodologies, and sustainability integration in real estate practices. The research shows evolving emphasis from pure market analysis toward policy impact assessment and sustainability considerations, reflecting broader industry trends toward environmental and social responsibility in property markets. Voigtländer actively contributes to industry knowledge through his leadership of the CSR in real estate industry research project with Dr. Rosemarie Stibbe at Bonn-Rhein-Sieg University. His advisory work extends across multiple academic institutions and industry organizations, where he provides expert guidance on real estate economics, financial markets, and housing policy matters. His institutional affiliations include the Cologne Institute of Economic Research (IW Köln) where he has worked since 2005, progressing to lead the Finance and Real Estate Markets competence field. He maintains strong connections with multiple academic institutions through his teaching roles, creating a bridge between academic research and industry practice in the German real estate sector.

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Elena Grigorescuمشاهده پروفایل

دانشیار مدعو

Purdue UniversityUnited States

Elena Grigorescu is an Adjunct Associate Professor in the Department of Computer Science at Purdue University, where she has been a faculty member since Fall 2012. Her research program spans theoretical computer science with a focus on foundational algorithmic challenges in large-scale data processing and computational limits, maintaining strong connections to cryptography, communications, and optimization applications. Her educational background includes a PhD from the Massachusetts Institute of Technology (MIT), establishing her expertise in rigorous theoretical frameworks. Professor Grigorescu's research emphasizes designing algorithms that operate in sublinear time or space for massive datasets, analyzing complexity of error-correcting codes and lattices, and exploring information-theoretical computation limits. Current investigations integrate differential privacy with learning-augmented techniques to solve online optimization problems, network design challenges, and data stream processing bottlenecks. Her work bridges abstract theory with practical implementations in cryptographic systems and quantum computing paradigms, demonstrating consistent innovation in algorithmic foundations. Analysis of her recent publications (2022-2025) reveals a dominant focus on sublinear-time algorithms, particularly at the intersection with differential privacy and machine learning augmentation. Key contributions include novel spanner constructions for network design, privacy-preserving clustering frameworks, and breakthroughs in trace reconstruction and coding theory. A pronounced trend shows increasing integration of learning-based predictions to enhance classical online algorithms for packing/covering problems while maintaining theoretical guarantees, alongside sustained contributions to error-correcting code analysis and graph-theoretic foundations. No specific scientific awards or major fellowships were documented in the provided materials, though her publication record in premier venues like STOC, FOCS, and APPROX/RANDOM indicates significant peer recognition. Professor Grigorescu actively mentors graduate students in theoretical computer science research, guiding investigations in sublinear algorithms, complexity theory, and coding theory. Her collaborative projects involve interdisciplinary teams across institutions, focusing on cryptographic applications and quantum information theory, though specific grant details were not included in the source texts. Ongoing work suggests expansion into quantum algorithm design and privacy-preserving machine learning frameworks. While dedicated laboratory facilities were not specified, her research operates within Purdue's theoretical computer science group, leveraging university-wide computational resources and fostering collaborations through conference participation and workshop organization.

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Kai Chenمشاهده پروفایل

دانشیار

Yale UniversityUnited States

Kai Chen is an Associate Professor of Epidemiology at the Yale School of Public Health (Environmental Health Sciences) , where he co-directs the Yale Center on Climate Change and Health and leads the CHEN Lab . He earned his PhD in Environmental Science and Engineering from Nanjing University (2016) and completed postdoctoral work at Helmholtz Zentrum München (2019) as an Alexander von Humboldt Fellow. His research focuses on the intersection of climate change, air pollution, and human health , employing multidisciplinary approaches in exposure assessment, climate modeling, and environmental epidemiology. Education : PhD (Nanjing University, 2016), BSc (Nanjing University, 2011) Appointments : Associate Professor (Yale, 2019–present), Visiting Scholar (Columbia, 2014–2015) Dr. Chen's recent work spans climate epidemiology ( Nature , Circulation ), air pollution health impacts ( JAMA , Environmental Science & Technology ), and global health studies in China, Europe, and Africa. His CHEN Lab advances frameworks like EnvironMental Health and investigates climate-health linkages through collaborations with the Wu Tsai Institute and Yale Institute for Global Health . Notable findings include quantifying wildfire PM2.5 risks and Ozone-temperature myocardial infarction associations . Scientific Awards : Alexander von Humboldt Postdoc Fellow (2019) Dr. Chen mentors a team including postdocs (Lingzhi Chu, Ying Hu) and students (Aline Maybank, Caroline Sutton) in the Environmental Health Sciences department. His lab's projects integrate public health modeling and data science to address climate equity, heat vulnerability, and pandemic-related pollution changes. Mailing address: 60 College Street, New Haven, CT 06520-8034.

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Lucie Cluverمشاهده پروفایل

استاد

University of OxfordUnited Kingdom

Professor Lucie Cluver is a leading academic in child and family social work at the University of Oxford (Department of Social Policy and Intervention) and an Honorary Professor at the University of Cape Town (Psychiatry and Mental Health). She directs the UKRI GCRF Accelerating Achievement for Africa's Adolescents Hub and co-leads the Global Parenting Initiative , focusing on scalable interventions to prevent violence and improve outcomes for vulnerable youth. Academic Affiliation: Department of Social Policy and Intervention, University of Oxford Key Collaborations: WHO, UNICEF, USAID-PEPFAR, African Union Development Agency Her research spans child protection , adolescent health , violence prevention , and HIV-related social policy . With over 200 peer-reviewed publications, her work combines longitudinal studies and randomized controlled trials (RCTs) across sub-Saharan Africa, Asia, and Europe. Current projects include cash-plus-care models for HIV-positive adolescents, Parenting for Lifelong Health (PLH) program adaptations, and COVID-19 emergency parenting resources reaching over 210 million families globally. Scientific Awards: ERC Public Engagement with Research Award (2024) Fellow of the Academy of Social Sciences (2023) Oxford VC’s Innovation Award (2022) International AIDS Society Excellence in Research with Children Award (2022) UKRI International Impact Award (2021) European Union Horizon 2020 Impact Award Appointed OBE in the King’s Birthday Honours (2025) Professor Cluver supervises a team of current DPhil and MPhil students , including Yvonne Agengo and Diana Mwala, while her previous students like Caroline Kuo and Jamie Lachman hold prominent roles in academia and policy. Her work has secured funding from UKRI , European Research Council , World Health Organization , and Bill & Melinda Gates Foundation .

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Christos Likosمشاهده پروفایل

استاد

University of ViennaAustria

Univ.-Prof. Christos N. Likos is a world-leading researcher at the University of Vienna , holding the chair in Multiscale Computational Physics since 2010. Affiliated with the Faculty of Physics and directing the Computational and Soft Matter Physics group, he bridges scales from microscopic to macroscopic in soft matter systems. Education: Dipl.-Ing. in Electrical Engineering (NTUA Athens), M.Sc. & Ph.D. in Physics (Cornell University) Honors: Fellow of the Royal Society of Chemistry (2013), University of Vienna Teaching Award (2025), Outstanding Referee Award (2009) His research in Soft Condensed Matter focuses on polymers, colloids, and biomolecular systems through coarse-graining , density functional theory , and Monte Carlo simulations . Key collaborations include institutions in Rome, Heraklion, San Sebastian, and Princeton. His work reveals principles of self-organization, non-equilibrium phenomena, and responsive material design with applications in cosmetics, nanotechnology, and biophysics. Recent publications highlight active matter , topological polymers , and electric field-responsive microgels . The group trains 18 current students (Ph.D., M.Sc., B.Sc.) and maintains partnerships with experimental teams across Europe. As Associate Editor of Soft Matter and member of Journal of Colloid and Interface Science Open editorial board, he shapes scientific discourse in his field. Teaching excellence is a hallmark, with courses on Advanced Statistical Physics and Soft Matter Principles . His group website details ongoing projects, while lab facilities in Vienna's Kolingasse campus enable interdisciplinary research.

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Mauro Barniمشاهده پروفایل

استاد

University of SienaItaly

Mauro Barni serves as a Full Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, where he teaches Cybersecurity, Information Theory, and Mathematical Statistics. His office hours are held Fridays from 3:00 PM to 5:00 PM via online appointment, reflecting his active engagement with students. Professor Barni's research spans multimedia security and digital forensics, with emphasis on deep learning applications for digital watermarking, deepfake detection, and synthetic image attribution. His work addresses critical challenges in adversarial machine learning, steganography, and image manipulation detection, contributing significantly to cybersecurity and intellectual property protection frameworks. Analysis of his 2021-2025 publications reveals dominant trends in neural network watermarking robustness, synthetic media detection, and defenses against backdoor attacks. His research consistently bridges theoretical foundations with practical implementations, focusing on real-world applications like printer source attribution and physical-domain adversarial scenarios. He leads the VIPP (Vision, Image Processing, and Pattern Recognition) research group, which maintains dedicated virtual classrooms for collaborative projects in computer vision and multimedia security. The group actively develops methodologies for image forensics, synthetic media analysis, and security countermeasures against emerging threats.

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Axel Lubkمشاهده پروفایل

پژوهشگر

Leibniz Institute for Solid State and Materials ResearchGermany

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.

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Jamal Atifمشاهده پروفایل

استاد

Paris-Dauphine UniversityFrance

Artificial Intelligence
Responsible AI
Privacy Preservation in Machine Learning
+۴ مورد دیگر

Jamal Atif is a Professor at Paris-Dauphine University and holds multiple significant leadership positions including Project Manager for 'Data Science and Artificial Intelligence' at the Institute of Information Sciences and their Interactions (INS2I) of the CNRS, Deputy Scientific Director of 3IA PRAIRIE, Head of the MILES team/project at LAMSADE (UMR CNRS-Université Paris-Dauphine), Co-leader of the Transverse Artificial Intelligence Program at PSL University, and Director of the Dauphine Numérique program. Professor Atif's primary research focuses on the foundations of responsible artificial intelligence, with specific expertise in privacy preservation in machine learning, robustness of deep learning algorithms to malicious attacks, causality, and explainability. His work bridges theoretical foundations with practical applications in security and reliability of AI systems. He has developed innovative approaches to address adversarial vulnerabilities in machine learning models and has made significant contributions to privacy-preserving techniques in data analysis. His publication record demonstrates a consistent focus on robust and trustworthy AI systems, with recent work exploring differential privacy in clustering, adversarial robustness, and explainable AI. The research spans theoretical foundations in logic and knowledge representation to practical applications in finance, healthcare, and computer vision. His publications appear in top-tier venues including Machine Learning journal, Neural Information Processing Systems, and International Joint Conferences on Artificial Intelligence. Scientific Awards: Recipient of two awards from the North American Society of Radiology for his thesis work Professor Atif has co-supervised or is currently supervising around fifteen doctoral students, demonstrating his commitment to mentoring the next generation of AI researchers. His leadership extends to directing major institutional programs including Dauphine Numérique and the Transverse Artificial Intelligence Program at PSL University, where he shapes strategic research directions in AI. He leads the MILES team/project at LAMSADE, which focuses on foundational aspects of machine learning and artificial intelligence. The team's research spans theoretical aspects of learning algorithms to practical applications requiring robust and reliable AI systems, with particular emphasis on security and privacy considerations in modern machine learning deployments.

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Richard Baileyمشاهده پروفایل

استاد

University of OxfordUnited Kingdom

Professor Richard Bailey is Professor of Environmental Systems at the University of Oxford's School of Geography and the Environment. He serves as a Tutorial Fellow and Dean of St Catherine's College, a Senior Research Fellow at the Institute for New Economic Thinking, and a member of the Oxford Biodiversity Institute. Bailey co-directs the Oxford Luminescence Dating Laboratory and leads the CoHESys-lab research group focused on complex human-environmental systems. Richard's research centers on the dynamics of natural environmental systems and coupled human-environment interactions across various timescales. His work employs mathematical modeling, numerical simulations, and empirical data analysis to understand complex systems, with a strong focus on sustainability applications, particularly in ocean systems. The CoHESys-lab develops models that integrate machine learning methods to explore implementable policies for environmental challenges. His recent publications demonstrate a strong trend toward interdisciplinary research combining environmental science, computational modeling, and sustainability. Bailey's work spans from theoretical explorations of complex systems to applied projects addressing pressing issues like plastic pollution, fisheries management, and climate change impacts on marine ecosystems. His research increasingly incorporates agent-based modeling and machine learning approaches to tackle coupled human-environment challenges. Co-Director of Oxford Martin School Programme on Sustainable Oceans Co-Director of Oxford Luminescence Dating Laboratory Leader of CoHESys-lab research group Professor Bailey currently supervises graduate students Maike Nowatzki (focusing on dunefield morphology using deep learning) and Thomas Youngman (working on macroeconomic modeling for UK climate transition). His recent advisees include Emily Neil (rewilding impacts at Knepp Estate) and Diana Bailey (LM OSL analysis techniques). His research is supported through collaborations with organizations including Ocean Conservancy, Stanford University, George Mason University, and the University of California at Santa Barbara, with computational support from Amazon Web Services. Bailey leads the CoHESys-lab (Complex Human Environmental Systems Simulation Laboratory), which develops sophisticated models for understanding coupled human-environment systems. His OSIRIS framework (Ocean Systems Interactions, Risks, Instabilities and Synergies) represents a significant contribution to analyzing multiple stressors on marine systems. The lab maintains strong collaborations with environmental organizations and academic institutions worldwide to address sustainability challenges through innovative computational approaches.

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Ping Jiمشاهده پروفایل

استاد

Hunter College, CUNYUnited States

Ping Ji is a Full Professor and Chair of the Department of Computer Science within the School of Arts and Sciences at the City University of New York (CUNY), with dual appointments at Hunter College and John Jay College of Criminal Justice. She serves as Executive Officer of the Computer Science PhD Program and former Director of the Master's Program in Data Science at the CUNY Graduate Center (2018-2025). Educational background: PhD in Computer Science, University of Massachusetts Amherst (Advised by Jim Kurose and Don Towsley) MS in Computer Science, University of Massachusetts Amherst BA in Computer Science and Technology, Tsinghua University Her research spans network measurement and data analysis , security monitoring for computer and wireless networks , and Internet of Things (IoT) , with significant contributions to mobile network security and underwater acoustic communications. She founded John Jay College's Master's Program in Digital Forensics and Cybersecurity and the Graduate Center's Master's Program in Data Science. Analysis of her publication trends reveals a strategic evolution from foundational network security work toward AI-integrated systems for censorship detection, ethical security frameworks for small businesses, and transformative educational ecosystems. Her recent work increasingly incorporates large language models and multi-modal sensor analysis while maintaining core expertise in network measurement. Scientific recognition: Google Award ($3M) for CyberNYC Institutional Research Multiple NSF grants totaling over $2.1M including CCRI, I-Corps, and SFS programs Leadership in national cybersecurity workforce development initiatives Dr. Ji has secured over $3 million in research funding while advising numerous PhD students through the NeMo (Networks & Mobile Systems) Lab. Her grant portfolio demonstrates sustained success in translating theoretical research into practical applications for security monitoring, digital forensics, and educational technology. Current projects include AI-enabled censorship detection systems and ethical security frameworks tailored for resource-constrained small businesses. The NeMo Lab under her direction conducts cutting-edge research in wireless network measurement, mobile security, and IoT applications, with recent expansions into underwater acoustic communications and AI-driven educational transformation through the AeDA (AI-Enabled Attainable Education for All) initiative.

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Bopaya Bidandaمشاهده پروفایل

استاد

University of PittsburghUnited States

Bopaya Bidanda serves as the Ernest E. Roth Professor and Chairman of the Department of Industrial Engineering at the University of Pittsburgh, where he has led since joining the faculty in 1987 after completing his PhD at Penn State. His institutional impact includes founding the Manufacturing Assistance Center, Automated Data Collection Laboratory, and Swanson Center for New Product Innovation. His research expertise spans manufacturing systems with concentrated focus on Group Technology, Reverse Engineering, Cellular Manufacturing, Lean Manufacturing, and Human Issues in Manufacturing. This work bridges advanced computational methods with industrial applications to solve real-world production challenges. Publication trends from 2000-2002 reveal strong emphasis on human capital integration in cellular systems, reverse engineering applications in biomedical contexts, and virtual laboratory development for manufacturing education. Key thematic threads connect workforce skills assessment with lean transformation and advanced computing techniques for production optimization. Scientific recognition includes: Fellow of the Institute of Industrial Engineers His grant portfolio demonstrates exceptional funding diversity, securing support from NSF, Department of Commerce, W.M. Keck Foundation, and industry partners like FedEx Ground for initiatives in manufacturing modernization and workforce development. He actively mentors doctoral candidates through flexible international programs and industry-university collaborations. Leadership extends to operational hubs including the Manufacturing Assistance Center which provides direct technical support to regional manufacturers, and the Swanson Center driving product innovation through interdisciplinary industry partnerships.

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Jeffrey A. Hallمشاهده پروفایل

استاد

University of KansasUnited States

Jeffrey A. Hall is a Professor of Communication Studies and Director of Graduate Studies at the University of Kansas. His research focuses on the intersection of technology, relationships, and well-being. He directs the Relationships and Technology Lab and has held leadership roles in professional organizations like the National Communication Association and International Communication Association. Dr. Hall earned his Ph.D. from the University of Southern California in 2015 and has been recognized with awards including the Early Career Award from the National Communication Association. His research explores how technology mediates communication in friendships, romantic relationships, and family dynamics. He has published extensively on social media’s impact on well-being, humor in relationships, and the role of digital interaction in fulfilling social needs. His award-winning book *Relating Through Technology* (2020) synthesizes these themes. He has been featured in prominent media outlets like the New York Times, NPR, and CNN. Key contributions include the *American Friendship Project*, investigating friendship trends, and experimental studies on social media abstinence. His work bridges communication theory with societal issues, offering insights into modern relational challenges. Current projects address loneliness, digital stress, and the evolving role of technology in human connection.

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