جست‌وجوی استاد و پژوهشگر

Chengzhong (Michael) Yuمشاهده پروفایل

استاد پژوهشی

• Nanotechnology
• Materials Science
• Drug Delivery
• +۵ مورد دیگر

Professor Chengzhong (Michael) Yu is a Research Professor at the Australian Institute for Bioengineering and Nanotechnology (AIBN), University of Queensland. His research focuses on functional nanomaterials for healthcare, energy, and environmental applications. He holds over 400 publications with 36,000+ citations and has received prestigious awards like the NHMRC Leadership Fellowship and ARC Future Fellowship. Education: PhD in Chemistry from Fudan University. Research Interests: Silica-based nanoparticles for drug/gene delivery, energy storage materials (e.g., aluminum-ion batteries), sustainable catalysis, and nano-pesticides for agriculture. His group develops biomaterials for cancer therapy, immunotherapy, and mRNA vaccine platforms. Recent Trends in Publications: Focused on advancing nanocarrier systems for therapeutics, electrocatalytic H₂O₂ synthesis from seawater, and sustainable energy solutions. Collaborates with industry partners like N4 Pharma and Baosteel for translational applications. Awards & Grants: Multiple ARC Discovery/Linkage grants, NHMRC funding, and industry partnerships totaling millions. Notable projects include mRNA delivery platforms and rechargeable aluminum-ion batteries. Supervision & Labs: Mentors over 20 PhD/Master’s students. Leads the Yu Group, collaborating on projects like ‘Designer Nanoparticles for mRNA Factories’ and ‘Nanotechnology for Flystrike Control in Livestock’.

Anant Sahaiمشاهده پروفایل

استاد

• Machine Learning
• Wireless Communication
• Information Theory
• +۴ مورد دیگر

Anant Sahai is the Qualcomm Chair Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. He holds affiliations with the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Laboratory for Information and System Sciences (BLISS), and the Berkeley Wireless Research Center (BWRC). His academic journey includes a BS from UC Berkeley (1994), and MS (1996) and PhD (2001) degrees from MIT. He previously worked at Enuvis, Inc., focusing on adaptive software radio techniques for low-SNR GPS environments. Research interests span machine learning, wireless communication, information theory, signal processing, and decentralized control, with a focus on intersections between these fields. Key areas include spectrum sharing, ultra-reliable low-latency wireless protocols, and the foundations of overparameterized machine learning. Recent work explores in-context learning in modern AI models. He has received awards such as the IEEE ComSoc Leonard G. Abraham Prize (2012) and teaching/mentorship accolades at Berkeley. He advises UC Berkeley’s Eta Kappa Nu chapter and coordinates machine learning efforts for NSF’s SpectrumX. Current teaching includes CS 182/282A on deep neural networks. His lab focuses on theoretical and applied challenges in communication systems, AI, and control theory. Awards: IEEE ComSoc Leonard G. Abraham Prize (2012), Teaching Excellence Awards (2015–2017) Grants: NSF Center for Spectrum Innovation (SpectrumX), multiple collaborative projects in wireless and AI Labs/Teams: BLISS, BAIR, BWRC

Scott Geyerمشاهده پروفایل

عضو هیئت علمی

• Chemical Education
• Laboratory Pedagogy
• Material Science
• +۳ مورد دیگر

Scott Geyer is an Associate Teaching Professor of Chemistry at Wake Forest University, located in Winston-Salem, NC. He holds a B.S. (2005) from the University of Virginia and a Ph.D. (2010) from the Massachusetts Institute of Technology, followed by postdoctoral research at Stanford University. Research Focus : Dr. Geyer’s research bridges chemical education and materials science. In pedagogy, he emphasizes laboratory course design to enhance student decision-making and scientific communication skills, particularly for graduate program applications. His materials research explores nanocrystal-based catalytic systems for energy applications, including water splitting, CO2 reduction, and photocatalytic processes. Key Contributions : His work includes developing trifunctional electrocatalysts for water splitting, lead-free perovskite alternatives for CO2 reduction, and scalable H2O2 electrosynthesis. His studies often combine computational modeling (e.g., DFT simulations) with experimental synthesis of nanomaterials. Awards & Recognition : No specific awards listed, though his publications reflect sustained contributions to catalysis and nanomaterial research. Advising & Grants : While no advisees are listed, his teaching role likely involves mentoring undergraduate and graduate students in laboratory practices and research methodologies. His work is supported by grants focused on sustainable energy materials. Labs & Teams : Engaged with Wake Forest’s chemistry department labs, contributing to interdisciplinary efforts in nanomaterials and sustainable chemistry.

Ebrahim Bedeer Mohamedمشاهده پروفایل

استادیار

• Signal Processing
• Wireless Communications
• Artificial Intelligence
• +۳ مورد دیگر

Ebrahim Bedeer Mohamed is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan. He joined in July 2019, following roles as an Assistant Professor (Lecturer) at Ulster University, UK, and postdoctoral fellowships at Carleton University and the University of British Columbia. He holds a Ph.D. (Distinction) from Memorial University of Newfoundland (2014), with expertise in signal processing and wireless communications. His research focuses on optimizing communication systems through advanced signal processing techniques, including faster-than-Nyquist signaling, IoT network design, AI integration, and energy-efficient protocols. Key areas include next-generation communication networks, non-orthogonal modulation, and MIMO systems. Notable contributions include work on channel estimation for FTN signaling, RIS-aided wireless systems, and LR-FHSS protocols in IoT. His publications span spectral efficiency, interference minimization, and energy management in 5G/6G contexts. He actively seeks Ph.D. students with strong backgrounds in signal processing fundamentals. Awards and grants are not explicitly listed in the provided texts. His work emphasizes practical applications, such as UAV trajectory optimization for IoT data collection and energy-efficient caching strategies in dynamic networks.

• Networking
• Communications
• Machine Learning
• +۷ مورد دیگر

Christopher G. Brinton is the Elmore Associate Professor of Electrical and Computer Engineering at Purdue University, where he leads the ION research lab. He is affiliated with the Department of Electrical and Computer Engineering in the College of Engineering at Purdue University's West Lafayette campus. Dr. Brinton received his PhD from Princeton University, where he was previously the Associate Director of the EDGE Lab and a Lecturer of Electrical Engineering. His research focuses on the intersection of networking, communications, and machine learning, with particular emphasis on Fog computing systems, the Internet of Things (IoT), NextG Wireless, and social learning networks. His research integrates foundational techniques including convex and non-convex optimization, machine learning, and signal processing to address challenges in networked intelligent systems. The ION lab under his leadership develops both theoretical frameworks and practical implementations for next-generation networking solutions, with strong industry collaborations including Qualcomm, Nokia, Intel, Cisco, Dell, and Ericsson. Recent publications reveal a strong trend toward federated learning, decentralized algorithms, and edge intelligence, with significant contributions to model partitioning, communication-efficient learning, and robust network architectures. His work increasingly bridges traditional communication theory with modern machine learning techniques to solve emerging challenges in distributed networked systems. NSF CAREER Award ONR Young Investigator Program (YIP) Award DARPA Young Faculty Award (YFA) AFOSR Young Investigator Program (YIP) Award Intel Rising Star Faculty Award (RSA) Dr. Brinton teaches several courses including ECE 647: Performance Modeling of Computer Communication Networks, ECE 301: Signals and Systems, and ECE 547: Introduction to Computer Communication Networks. He has co-authored the book 'The Power of Networks: Six Principles That Connect Our Lives' and taught three Massive Open Online Courses (MOOCs) with over 400,000 cumulative students. While not currently actively recruiting students, he remains open to connecting with highly motivated individuals. Dr. Brinton leads the ION (Intelligent Optimization and Networking) research lab, which focuses on creating theoretical foundations and practical implementations for next-generation networked systems. The lab has recently published significant work on 6G taxonomy in collaboration with major industry partners and continues to push boundaries in distributed learning and network optimization.

Robert C. Dunnمشاهده پروفایل

استاد

• Analytical Chemistry
• Biophysics
• Optical Microscopy
• +۵ مورد دیگر

Robert C. Dunn is a Professor in the Department of Chemistry at the University of Kansas, where he leads an active research group focused on developing novel optical and spectroscopic techniques for chemical and biological analysis. His laboratory specializes in single-molecule detection methods, high-resolution microscopy, and advanced capillary electrophoresis systems. Professor Dunn's research interests span analytical chemistry, biophysics, and nanotechnology. His group develops instrumentation including backscatter interferometry, near-field scanning optical microscopy, and scanning resonator microscopy to study biological systems at the nanoscale. Key research areas include membrane biophysics (investigating lipid domains and protein dynamics), nuclear pore complex function, and the development of ultrasensitive detection methods for clinical diagnostics and biochemical analysis. His recent publications demonstrate strong focus on miniaturized separation and detection platforms, particularly high-speed capillary electrophoresis systems integrated with novel optical detection schemes. Research trends show advancement towards point-of-care diagnostic tools, with innovations in refractive index sensing, femtoliter-volume detection, and label-free biosensing applications. Professor Dunn mentors graduate and undergraduate researchers in his group, with current students including Prabhavie Opallage (graduate student), Stanslaus M Kariuki (undergraduate), and Mei Ling Upp (undergraduate). His laboratory is developing new chemical analysis approaches using optical techniques including whispering gallery mode sensing, scanning resonator microscopy, and single-molecule fluorescence imaging.

Gert-Martin Greuelمشاهده پروفایل

استاد

• Singularity Theory
• Computer Algebra
• Algebraic Geometry
• +۳ مورد دیگر

Prof. Gert-Martin Greuel is a distinguished mathematician and Emeritus Professor at RPTU Kaiserslautern, where he previously held a Professorship in the Department of Mathematics. His career includes roles as Director of the Mathematisches Forschungsinstitut Oberwolfach (2002-2013) and as editor of major journals like Zentralblatt MATH. He co-founded the Singular computer algebra system and led the Center for Computer Algebra at Kaiserslautern. Research Interests: His work focuses on singularity theory, algebraic geometry, and computational algebra. Key contributions include foundational studies on hypersurface singularities, equisingularity, and the development of mathematical software tools like Singular and swMATH. Awards: Greuel received the Richard D. Jenks Prize (2004) for Singular, an honorary doctorate from Leibniz University Hannover (2009), and the German Mathematical Society's Media Prize (2013). He pioneered public math exhibitions through the IMAGINARY project. Leadership & Outreach: He served as Chair of European Research Centres on Mathematics (2010-2013) and championed open-access initiatives for mathematical software and publications. His editorial roles span Oberwolfach Reports, Revista Matemática Complutense, and Ergebnisse series. Education: PhD (1973) and Habilitation (1980) from University of Göttingen and Bonn, respectively. His academic journey includes professorships in Osnabrück and Kaiserslautern, and supervision of over 20 PhD students in algebraic geometry and computational mathematics.

• International Political Economy
• Development Studies
• Comparative Political Economy
• +۹ مورد دیگر

Samuel Brazys is Associate Professor in the School of Politics and International Relations (SPIRe) at University College Dublin (UCD), where he also serves as Vice Principal for Research, Impact & Innovation in the College of Social Science & Law. He is the Editor of the Journal of International Development and has a strong research profile in international political economy and development. BA in Political Science/Economics, Marquette University MA in Economics, Indiana University MSc in Politics of the World Economy, London School of Economics PhD in Political Science, Indiana University Professional Certificate in University Teaching & Learning, UCD His research focuses on the political economy of development, with emphasis on foreign aid, foreign direct investment, Chinese development finance, and governance. He employs sub-national and spatial analysis methods, often using geo-referenced data to assess local-level impacts of development interventions in Africa, South Asia, and the Pacific. His work bridges comparative and international political economy, international organizations, and development studies. Recent publications reveal a consistent trend in analyzing the spatial and political dimensions of development finance, particularly Chinese aid and FDI, and their effects on conflict, governance, and public perceptions. His work increasingly engages with public diplomacy, as seen in studies on mask diplomacy and wolf warrior rhetoric, using large-scale text analysis of media and social media. Irish Research Council Grant: Trade Related Assistance for Development. Evidence from Micro-Level Evaluations (2018) UCD College of Human Sciences Research Funding Scheme (2015–2016) His research has had significant policy impact, notably cited by the U.S. State Department in decisions regarding Confucius Institutes. He is a member of major professional associations including the American Political Science Association and the International Studies Association. He teaches core modules in International Political Economy, Research Methods, and Governance and Development, and has coordinated thesis and internship programs. He leads a research agenda that critically examines donor behavior, recipient agency, and the political economy of global development, contributing to both academic discourse and policy debates.

• Signal Processing
• Communication
• Wireless Communications
• +۴ مورد دیگر

Professor Hakan Ali Çırpan is a distinguished faculty member at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, where he serves as Professor in the Department of Electronics and Communication Engineering. He also holds the position of Vice Dean at Istanbul Technical University since 2021. With over three decades of academic experience, Professor Çırpan has established himself as a leading researcher in signal processing and communications. His educational background includes: PhD from Stevens Institute of Technology (1993-1997) Master's degree in Electrical-Electronic Engineering (with thesis) from Istanbul University (1989-1992) Bachelor's degree in Electrical and Electronic Engineering from Uludağ University (1985-1989) Professor Çırpan's research spans multiple domains within signal processing and communications. His primary interests include wireless communications, radar systems, machine learning applications in communications, and electronic warfare. His work on channel estimation, orthogonal frequency division multiplexing, and maximum likelihood methods has been particularly influential. He has pioneered research in areas such as source localization, spectrum sensing, and physical layer security. His recent work focuses on 5G/6G networks, AI-enhanced communications, and integrated sensing and communication systems. Analysis of his recent publications (2023-2025) reveals a strong focus on next-generation wireless technologies, particularly 5G/6G networks, AI integration in communications, and electronic warfare applications. His research demonstrates a consistent pattern of addressing fundamental challenges in signal processing while adapting to emerging technological needs. A significant portion of his recent work involves machine learning applications for spectrum management, optimization techniques for radar systems, and novel approaches to network slicing and resource allocation. His notable scientific achievements include: ASELSAN ACADEMY THESIS COMPETITION WINNER (2020) Professor Çırpan has supervised 59 theses throughout his career, mentoring numerous graduate students in the fields of signal processing and communications. He has secured significant research funding, including the "AI-Enhanced 5G/6G Networks with Integrated Camera and ISAC Systems" project (2023-2024) and the "Railway Vehicle Infrastructure New Generation Secure Communication Systems" TÜBİTAK project with a budget of ₺955,000. His research has practical applications in defense systems, railway communications, and next-generation wireless networks. His laboratory work focuses on wireless communications systems, radar signal processing, and AI-enhanced communication technologies. Professor Çırpan leads research teams working on projects related to 5G/6G networks, electronic warfare countermeasures, and secure communication systems. His group collaborates with industry partners like ASELSAN and conducts research with practical applications in national defense and critical infrastructure.

Sylvie Bacquetمشاهده پروفایل

مدرس ارشد

• Human Rights
• Freedom of Religion
• Manifestation of Belief
• +۷ مورد دیگر

Dr. Sylvie Bacquet is a Senior Lecturer and Assistant Head of School at the University of Westminster's Westminster Law School, where she has been teaching since 2004. She leads on student experience, inclusion, and wellbeing, and serves as Module Leader for LLB Law and Religion and LLB Public Law. Dr. Bacquet is an active researcher in human rights law, with a particular focus on freedom of religion and related issues. She is a member of the Westminster Law and Theory Lab and contributes to Sustainable Development Goals through her research. Education: Master's degree in International Relations & Diplomacy at the American University of Paris LLM in International Human Rights Law at the University of Essex PhD (specific topic and institution not specified in source material) Dr. Bacquet's research focuses on human rights, particularly freedom of religion, manifestation of belief, religious symbols, secularism, freedom of expression, and hate speech. Her work examines how different religious symbols and practices coexist in pluralist societies and how legal frameworks balance individual religious freedoms with societal needs. She frequently employs comparative analysis between England and France to explore these issues, with particular attention to how secular values interact with religious expression in public spaces and educational institutions. Dr. Bacquet's publication record shows a consistent thematic focus on religion and law, with increasing attention to contemporary challenges in pluralist societies. Her work demonstrates a sophisticated understanding of the complex relationship between freedom of expression and religious hate speech, religious symbols in public spaces, and the accommodation of religious minorities within legal frameworks. Recent publications reflect growing scholarly interest in the role of secularism in public institutions and the practical implications of religious freedom jurisprudence. Dr. Bacquet has supervised doctoral researchers including Samuel Hutman (working on freedom of expression in higher education) and Renan Nery Porto (researching justice and cocoa production). She has been involved in several significant research projects, including evaluations of legal service commissions' training schemes and studies on mediation in court-based schemes. Her work has been funded by organizations including the Legal Services Commission and the Department for Constitutional Affairs. Dr. Bacquet also contributes to student wellbeing initiatives through her leadership role in overseeing student experience and inclusion at the university.

Pavel Coupekمشاهده پروفایل

استادیار مهمان

• p-adic Hodge Theory
• Arithmetic Geometry
• Homological Algebra
• +۳ مورد دیگر

Pavel Coupek is a Visiting Assistant Professor in the Department of Mathematics at Michigan State University (MSU). He holds a PhD from Purdue University, where he was supervised by Tong Liu, and completed his Bachelor's and Master's studies in homological algebra at Charles University in Prague. His research focuses on p-adic Hodge theory, arithmetic geometry, and homological algebra, with applications to modular forms and rational points on algebraic curves. Education: PhD in Mathematics, Purdue University (Advisor: Tong Liu) MSc in Mathematics, Charles University, Prague BSc in Mathematics, Charles University, Prague Research Interests: p-adic Galois representations and p-adic Hodge theory Algebraic and arithmetic geometry Homological algebra and its interactions with algebraic geometry Modular and automorphic forms Quadratic Chabauty methods for rational points Professional Activities: Organized seminars on infinity categories and perfectoid spaces at Purdue University Co-authored research on prismatic cohomology, automorphic forms, and geometric Chabauty methods Teaching experience includes courses at MSU and Purdue, covering differential equations, calculus, and linear algebra

• Machine Learning
• Coding Theory
• Optimization
• +۵ مورد دیگر

Arya Mazumdar is a tenured Professor of Data Science and Computer Science at the Halıcıoğlu Data Science Institute (HDSI) , part of the School of Computing, Information and Data Sciences at the University of California San Diego (UCSD). He also holds affiliations with the Computer Science and Engineering and Electrical and Computer Engineering departments at UCSD. Previously, he was an Assistant and Associate Professor at the University of Massachusetts Amherst (2015–2021), and held a postdoctoral position at MIT (2011–2012). He is an IEEE Distinguished Lecturer (2023–2024) and recipient of the NSF CAREER Award (2015–2020). Education : PhD in 2011 from the University of Maryland, College Park (advisor: Alexander Barg) Postdoctoral scholar at MIT (2011–2012, advisor: Greg Wornell) Internships at IBM Almaden (2010) and HP Labs (2008) Research Interests : Focus on algorithmic and statistical aspects of machine learning, error-correcting codes, optimization, signal processing, and distributed systems. Key areas include clustering algorithms, compressed sensing, federated learning, and information-theoretic foundations of data science. He has contributed to theoretical guarantees for learning mixtures, distributed optimization, and robust coding schemes. Recent Articles Trends : Recent work emphasizes distributed optimization (e.g., vqSGD, Byzantine-resilient algorithms), sparse recovery in high-dimensional models, and theoretical foundations of learning (e.g., support recovery, parameter estimation). His research bridges information theory and machine learning, with applications in storage systems and large-scale data processing. Awards & Roles : 2020 EURASIP JASP Best Paper Award Co-PI and co-leader of the NSF AI Institute for Learning-Enabled Optimization at Scale Editorships: IEEE Transactions on Information Theory and Foundations and Trends in Communications Grants & Labs : Leads the EnCORE Institute as UCSD Site Lead, focusing on theoretical perspectives of large language models and computational-statistical gaps. Active in organizing workshops on topics like LLMs, clustering, and distributed optimization. His research is funded by NSF and industry collaborations. Teaching : Courses include Algorithms for Data Science , Probability and Statistics for Data Science , and Coding Theory , emphasizing foundational theory and scalable methods.

Stephen Colmanمشاهده پروفایل

دانشیار

• Criminal Law
• Evidence
• Criminal Procedure
• +۳ مورد دیگر

Stephen Colman is an Associate Professor of Law and Course Leader for the LLM Law at the University of Suffolk within the School of Business, Arts, Social Sciences and Technology. A non-practising solicitor with over 12 years as a Senior Crown Prosecutor at the Crown Prosecution Service, he also serves as a link tutor for Rushmore Business School in Mauritius and represents the university on the Suffolk and North Essex Law Society Executive Committee. His research centers on prosecutorial discretion, victims' rights to challenge prosecution decisions, and intersections with administrative law and victimology. He is currently authoring 'Challenging Prosecutorial Decision-Making' for Bristol University Press, examining systemic issues in criminal justice decision-making processes and victims' legal pathways. His publications reveal consistent focus on criminal procedure reforms, victims' rights mechanisms, and evidentiary standards across UK jurisdictions. Key recurring themes include the Single Justice Procedure's implications, comparative analysis of victims' review schemes, and vulnerabilities within prosecution systems affecting both defendants and victims. Professional recognitions include: Fellowship of Advance HE Colman leads undergraduate modules in Criminal Law, Criminal Procedure, Criminal Evidence and Administrative Law, plus postgraduate modules in Contemporary Criminal Law and Criminal Evidence & Psychology. He has developed legal placements with local firms, delivered external training on criminal evidence, and was nominated for the University of Suffolk Staff Award 2022 for Outstanding Contribution to Learning.

• Signal Processing
• Wireless Communications
• Underwater Acoustic Communications
• +۷ مورد دیگر

Professor Yue Rong is a Full Professor at Curtin University's Department of Electrical and Computer Engineering, within the School of Electrical Engineering, Computing and Mathematical Sciences. He holds editorial roles at IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters. His research focuses on signal processing for communications, underwater acoustic systems, wireless networks, and healthcare IoT. Rong has authored over 140 journal and conference papers and received multiple awards, including the 2010 Young Researcher of the Year Award. Education: B.E. (Electrical Engineering), Shanghai Jiao Tong University (1999) M.Sc. (Electrical Engineering), University of Duisburg-Essen (2002) Ph.D. (Electrical Engineering), Darmstadt University of Technology (2005) Research Interests: Rong's work spans cooperative MIMO communications, underwater acoustic systems, OFDM modulation, radar-based healthcare monitoring, and secure wireless protocols. His innovations include adaptive modulation schemes for underwater environments and radar-based vital signs detection. Recent trends in his publications emphasize AI-driven signal processing for healthcare IoT and underwater optical communication systems. Awards: Best Paper Awards (WCSP 2011, APCOMM 2010) Chinese Government Award (2004) DAAD/ABB Fellowship (2001-2002) Grants & Labs: His research is supported by grants focusing on UAV-enabled data collection and underwater network optimization. He leads projects in the Distributed Data Fusion and Emerging Technologies (DDFE) lab, advancing radar-cardiography and wearable health monitoring systems.

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Physical Layer Security
• +۷ مورد دیگر

Dr. Sylvester Boadi Aboagye is an Assistant Professor in the School of Engineering at the University of Guelph, Canada. His research focuses on next-generation wireless communication and sensing systems, including reconfigurable intelligent surfaces (RIS), physical layer security, visible light communication (VLC), terahertz networks, and integrated sensing-communication frameworks. He received his Ph.D. and M.Eng. from Memorial University (Canada) and B.Sc. (Honors) from Kwame Nkrumah University of Science and Technology (Ghana). Prior to joining University of Guelph, he was a Postdoctoral Fellow at York University (2023). Dr. Aboagye's expertise includes machine learning for resource allocation, energy-efficient network design, and prototyping optical RIS systems. He currently serves as an Editor for IEEE Communications Letters and has received notable awards including the Governor General’s Gold Medal and recognition as an Exemplary Reviewer. His work addresses challenges in 6G systems, underwater communications, and sustainable network architectures.