جست‌وجوی استاد و پژوهشگر

Marcellin Atemkengمشاهده پروفایل

دانشیار

• Big Data Analytics
• Statistical Signal Processing
• Artificial Intelligence
• +۱۰ مورد دیگر

Marcellin Atemkeng is an Associate Professor in the Department of Mathematics at Rhodes University , with concurrent research roles at the Rhodes Centre for Radio Astronomy Techniques & Technologies and the National Institute for Theoretical and Computational Sciences (NITheCS) . He leads the Rhodes AI Research Group (RAIRG) , focusing on AI/ML applications to radio astronomy, marine ecology, and medical imaging. Education: MSc (University of Dschang), PhD (Rhodes University), PGDHE (Rhodes University) His research spans big data analytics , statistical signal processing , and deep learning , with applications in radio interferometry , medical imaging , and agricultural monitoring . His recent work emphasizes explainable AI , quantum NLP , and anomaly detection in ecological and industrial datasets. Key trends in his publications include data compression for radio astronomy, clustering algorithms for environmental monitoring, and hybrid AI architectures in precision agriculture and cybersecurity. His interdisciplinary approach bridges computational methods with real-world challenges in marine ecology and power generation . Awards: NRF Y rating (2022) Mathematical Sciences Early Career Fellowship (2022) Kambule Doctoral Award (2019, Deep Learning Indaba) SKA SA Best Poster Award (2013) He actively mentors graduate students across Africa through the African Institute for Mathematical Sciences (AIMS) network and contributes to NRF grant reviews , journal refereeing, and international conference keynotes.

Nico Carpentierمشاهده پروفایل

استاد

• Media Participation and Democracy
• Media, Death and War
• Journalism and Identity
• +۵ مورد دیگر

Nico Carpentier is a professor at the Vrije Universiteit Brussel and a core member of the Centre for the study of Democracy, Signification and Resistance (DeSIRe) . His work spans media studies, discourse theory, and political communication. Key research focus: Media Participation and Democracy Specializes in Discourse Theory and Conflict Resolution via community media His recent publications emphasize discursive-material agency , zine materiality , and counter-hegemonic practices . Collaborative projects highlight Cyprus and Sweden as case studies for media’s role in reconciliation and social inclusion. Scientific recognition includes the Presidential Visiting Scholar award (2013). He actively supervises PhD seminars and serves on editorial boards like the Journal of Language and Politics . Geopolitical collaborations span Belgium, Cyprus, Czech Republic, and Sweden.

• Graph Mining
• Network Analysis
• Graph Representation Learning
• +۳ مورد دیگر

Yifei Jin is a WASP Industrial PhD student at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science, specifically within the Division of Theoretical Computer Science. They are supervised by Professor Aristides Gionis and Associate Professor Sarunas Girdzijauskas at KTH, and also serve as an Experienced Researcher at Ericsson Research and a Visiting Researcher at Yale University under Rex Ying and Leandros Tassiulas. Yifei's research focuses on graph mining , network analysis , and graph representation learning , particularly applied to crowdsourcing data and wireless communication systems. Their work intersects telecommunications network optimization machine learning for graph-structured data AI-driven wireless resource management edge computing and distributed AI as evidenced by their publications spanning 2017–2025. Their academic contributions include 15 recent papers exploring topics such as neural surrogates for voltage drop estimation, wireless ray-tracing models, scalable distributed AI deployment, and vehicle platooning coordination. These publications demonstrate expertise in network traffic reduction KPI conflict analysis graph convolutional networks hyperbolic embeddings for ontologies real-time network diagnostics .

• Quantum Technologies
• Atomic Molecular and Optical Physics
• Ion-Atom Mixtures
• +۶ مورد دیگر

Rianne Lous is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Department of Applied Physics and Science Education. She leads the SIntAQS (Sensing Interactions in Atomic Quantum Systems) research group within the Center for Quantum Materials and Technology Eindhoven and the Coherence and Quantum Technology group. Her work focuses on quantum technologies, particularly hybrid ion-atom systems for quantum simulation, quantum computing, and quantum chemistry. Rianne received her academic training through the following path: Bachelor's degree in Natural Sciences and Physics and Astronomy at Radboud University, Nijmegen, Netherlands Master's degree (with honors) in Nanoscience at the University of Groningen, Netherlands, including an internship at ITAMP (USA) Ph.D. and first PostDoc at the University of Innsbruck and IQOQI (Institute of Quantum Optics and Quantum Information) of the Austrian Academy of Sciences, working with ultracold quantum gases PostDoc at the University of Amsterdam with Yb+ ions in a bath of lithium atoms, supported by a Marie-Sklodowska Curie European fellowship Rianne's research centers on understanding and controlling interactions among atoms, ions, and molecules for quantum simulation applications. She is establishing an experimental setup combining trapped ions with ultracold atoms to create quantum simulators for studying interacting quantum systems. Her work spans quantum sensing, quantum chemistry, and quantum computing with a focus on ion-atom mixtures and Rydberg atom systems. She investigates impurity physics, quantum chemistry and sensing, and quantum simulation & computation with ultracold atoms & ions. Her experimental approach has a two-fold objective: building quantum computers to calculate properties of quantum many-body systems and developing quantum simulators to improve fundamental understanding of these phenomena. Rianne is involved in the Rydberg Atom Quantum Computing project, which aims to develop a scalable quantum computing platform based on Rydberg atoms in optical tweezers. This project is part of the Quantum Delta NL program and has received funding from the European Union's NextGenerationEU. Her scientific achievements include: Marie-Sklodowska Curie European fellowship from the EU Horizon 2020 research and innovation program Rianne actively mentors students and leads research projects. Her SIntAQS group currently includes PhD candidates Claudia Galantini and Luc Verwaal, along with several BSc and MSc students. She has previously supervised multiple MSc and BSc students including Iris Podbevsek, Rogier Venderbosch, and Luuk van Leendert. Her research is supported by various grants including funding from the European Union's Horizon programs. The SIntAQS laboratory focuses on building an ultra-high vacuum setup where hybrid atom-ion systems can be controlled and studied using electric, magnetic, and optical fields. This experimental platform enables research in quantum simulation of many-body physics, quantum computation, quantum sensing, and quantum chemistry. The lab benefits from the spatial localization and addressability of ions combined with the long coherence times and scalability of atoms.

• Parallel and distributed computing
• Neural networks
• Video compression
• +۱ مورد دیگر

Stepan Yuriyovych Skrupsky is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technology, Zaporizhzhya National Technical University (ZNTU). He graduated with honors in 2010 as a Master in Computer Systems and Networks and defended his PhD thesis on "Models and methods of video information compression in distributed computer systems" in 2013 at the Institute of Modeling Problems in Energy. His research focuses on parallel and distributed computing , neural networks , video compression , and artificial intelligence systems . He teaches disciplines such as Computer Architecture, Mobile Application Architecture, and Cloud Technologies. Education : Master in Computer Systems and Networks, ZNTU (2010) PhD Thesis : "Models and methods of video information compression in distributed computer systems" (2013) His scientific works explore parallel computing architectures for AI applications, including neuro-fuzzy models , Internet of Things infrastructure , and rule extraction methods . Publications span topics like big data reduction , medical diagnostics , and software-defined networks . He uses computational intelligence and stochastic optimization for distributed system design. Key trends in his research include parallelization of AI algorithms , resource-efficient distributed systems , and cross-domain applications from medicine to IoT. His articles appear in venues such as Radio Electronics, Computer Science, Control and Automatic Control and Computer Sciences .

Frederick J. Zimmermanمشاهده پروفایل

استاد

• Health Economics
• Health Policy
• Social Determinants of Health
• +۵ مورد دیگر

Dr. Frederick J. Zimmerman is Professor of Health Policy and Management at the UCLA Fielding School of Public Health and a core faculty member of the UCLA Center for Health Advancement . An economist by training, he integrates economic, sociological, and psychological perspectives to illuminate how economic structures—from poverty and inequality to housing markets—shape population health outcomes. Education: PhD, Economics, University of Wisconsin–Madison Research Interests: Dr. Zimmerman’s scholarship centers on the political economy of health and social policy . He examines how housing affordability , transportation systems , media exposure in early childhood , and health equity measurement influence population-level health. His Win-Win simulation model demonstrates how multi-sector interventions ripple through high-school graduation rates, crime statistics, and local government finances, providing an evidence base for cross-sector health policy. Using advanced statistical methods and agent-based simulations, he quantifies the opportunity costs of excess medical spending , tracks long-term BMI disparities , and crafts policy frames that increase public support for obesity prevention. His work has been featured in The New York Times , NPR, the BBC, and Radio France Internationale. Teaching: Advanced Statistical Research Methods Determinants of Health Public Health Ethics Current Projects & Labs: At the UCLA Center for Health Advancement , Dr. Zimmerman leads efforts to build systematic measures that track health equity across jurisdictions over time. The center serves as a hub for interdisciplinary teams employing simulation modeling to inform policymakers on the health and economic returns of social investments.

• Signal Processing
• Image Matching
• Computer Vision
• +۵ مورد دیگر

Guillaume Bourmaud is an Associate Professor at the University of Bordeaux , affiliated with the Bordeaux Institute of Technology and the Signal and Image Processing department. He is a member of the MOTIVE research team within the IMS Bordeaux laboratory. Research Interests : His work focuses on Signal processing and image matching algorithms Computer vision and Transformer-based architectures Statistical learning for geospatial and atmospheric data SLAM (Simultaneous Localization and Mapping) with probabilistic models Publications Trends : Recent work spans computer vision (2024), geospatial navigation (2023), and atmospheric measurement techniques (2022), with emphasis on kriging, Gaussian processes, and feature correspondence evaluation.

• Signal Processing
• Embedded Systems
• Machine Learning
• +۲ مورد دیگر

Dr. Ergun Erçelebi is a Professor at Gaziantep University's College of Engineering , Department of Electrical and Electronics Engineering. With expertise in Signal Processing , Embedded Systems , and Machine Learning , he has led research in power electronics, wireless localization, and biomedical applications. PhD in Electrical-Electronics Engineering (Gaziantep University, 1999) MSc in Electrical-Electronics Engineering (Gaziantep University, 1992) BSc in Electrical-Electronics Engineering (Middle East Technical University, 1990) His research spans power electronics (multilevel inverters, photovoltaic systems), signal processing (speech enhancement, wavelet transforms), and embedded systems (UAV control, RFID localization). Recent work focuses on hybrid optimization techniques and deep learning for harmonic reduction, modulation classification, and biomedical antenna design. His 2021-2024 publications demonstrate trends in machine learning applications for Turkish lira recognition, UAV-bird classification, and metamaterial design. Earlier work (2014-2020) includes energy management systems, medical imaging phantoms, and smart home automation. 2024: Stanford Most Effective Scientists recognition 15+ patents in embedded systems and medical devices He has supervised 7+ graduate student projects and led 8 research grants, including TÜBİTAK 1501 funding for wearable nebulizer design. His work includes developing smart security systems , remote energy management devices , and RFID-based indoor localization solutions.

• Deep Learning
• Wireless Communications
• Signal Processing
• +۴ مورد دیگر

Ali Abdi is a Researcher and PhD candidate at RWTH Aachen University, specializing in Deep Learning-based channel estimation and signal processing for future wireless communication systems. He is actively involved in the German flagship project 6G-Anna, which explores AI applications in the physical layer (PHY) blocks of 6G mobile networks. His current role includes academic collaboration under the Chair of Distributed Signal Processing and teaching activities for courses in digital mobile radio receiver algorithms. Education: Bachelor of Science (2015) in Communication Technology from Shahid Beheshti University, Tehran Master of Science (2017) in Communication Systems Engineering from Sharif University of Technology Research Focus: 6G channel estimation techniques Machine learning integration in wireless physical layer (PHY) processing mmWave and Massive MIMO technologies Integrated Sensing and Communication (ISAC) for advanced wireless networks Professional Background: Scientific staff member at RWTH Aachen University since 2023 Prior R&D experience in telecommunications signal processing for direction finding and localization in Tehran

Marc Kuhnمشاهده پروفایل

مدرس

• Wireless Communication
• Localization and Tracking
• Radar Systems
• +۶ مورد دیگر

Marc Kuhn serves as Deputy Head of the Institute of Signal Processing and Wireless Communications (ISC) at Zurich University of Applied Sciences' School of Engineering. He holds dual roles as Lecturer for Wireless Communication/Communications Engineering and Digital Signal Processing while leading applied research in next-generation wireless systems. His educational credentials include: Doctoral degree (Dr.-Ing.) in Communications Engineering from Saarland University (2002) Diplom-Ingenieur (Dipl.-Ing.) in Electrical Engineering from Saarland University (1998) Certificate of Advanced Studies (CAS) in Higher & Professional Education from ZHAW (2022) Marc Kuhn's research focuses on wireless signal processing challenges across multiple domains. His work addresses critical gaps in: Indoor positioning systems using UWB/WiFi/Bluetooth MIMO-OFDM for mobile networks Cooperative communication in MANETs under mobility Timing synchronization for distributed radar QoS optimization in vehicular networks Powerline communication resilience His publication trajectory (2022-2024) reveals concentrated innovation in cooperative MANET techniques, with 60% of recent work tackling synchronization imperfections through SDR implementations. Key patterns include distributed MIMO architectures for aerial systems and UWB-based localization frameworks that bypass traditional infrastructure constraints. At ZHAW's ISC institute, Kuhn leads the Communication Technology Lab's wireless group while managing the collision avoidance system project for UAVs using embedded SDR technology. His industry experience includes mobile network benchmarking at Wittneben Consult and foundational research at ETH Zurich's Communication Technology Lab spanning 12 years.

Michael Feluxمشاهده پروفایل

استاد

• Aviation Communication, Navigation and Surveillance (CNS)
• Global Navigation Satellite Systems (GNSS)
• Ground-Based Augmentation System (GBAS)
• +۵ مورد دیگر

Prof. Dr. Michael Felux is full Professor and team leader of the Aviation Infrastructure group at the ZHAW School of Engineering , Zurich University of Applied Sciences. He also co-founded and co-owns the Estonian consultancy Navaid OÜ , providing GNSS/CNS expertise while ensuring non-conflict with his academic role. Education Dr.-Ing. in Mechanical Engineering, TU München (2012 – 2018) Dipl.-Tech. Math. in Mathematics, TU München (2003 – 2009) CAS Hochschuldidaktik (Higher-Education Didactics), PHZH (2021) Research Focus Michael Felux’s research centres on safe, secure and efficient aviation communication, navigation and surveillance (CNS) . He investigates GNSS-based augmentation systems (GBAS, SBAS) for precision approach and landing, develops real-time interference detection & localization techniques to counteract jamming and spoofing, and explores high-integrity navigation solutions for unmanned aerial vehicles (UAVs). Additional interests include environmental optimisation of flight procedures and multi-constellation, multi-frequency signal processing . Across more than 50 peer-reviewed publications since 2015, his work consistently targets the intersection of technical robustness and operational feasibility . Recent papers map GNSS disruption events across European airspace, quantify fuel-burn reductions enabled by GBAS-guided continuous-descent approaches, and introduce cost-efficient machine-learning frameworks for real-time localisation of malicious radio-frequency interference. Scientific Awards & Recognition (no specific awards listed in supplied material) Research Funding & Projects Spoofer Localization – Swiss project leader, ongoing EGNSS DFMC for GBAS based operations – EU project leader, ongoing Making I-CNS A Reality – integrated CNS technology, project leader, ongoing High Integrity Satellite Navigation for UAV using Galileo HAS – project leader, ongoing LINA – Shared large-scale infrastructure for safe testing of autonomous systems, team member, ongoing Collision avoidance system for manned & unmanned aircraft via SDR – completed Emission Reduction using Satellite Navigation for Approach Guidance – completed Laboratory & Team As head of the Aviation Infrastructure team at ZHAW, Prof. Felux directs a multidisciplinary group developing next-generation CNS technologies. The team operates dedicated GNSS/GBAS testbeds, flight-trial aircraft, and spectrum-monitoring networks to validate concepts from simulation through to real-world deployment.

Asal Kiazadehمشاهده پروفایل

استادیار

• Memristor Devices
• Neuromorphic Computing
• Thin-Film Transistors
• +۷ مورد دیگر

Asal Kiazadeh is an Assistant Professor at the Faculty of Science and Technology (FCT), Universidade Nova de Lisboa, specializing in memristor devices, thin-film transistors, and neuromorphic computing. His research focuses on advancing flexible amorphous oxide materials for resistive switching devices and IoT applications. PhD in Electronics and Optoelectronics from the University of Algarve (2013) Collaboration with Philips Research Laboratories Principal Investigator for NeurOxide (PTDC/NAN-MAT/30812) and OPERA (2022.08132.PTDCO) Local coordinator for TERRAMETA (European Project No. 101097101) His work bridges device physics and system-level innovation, with a particular emphasis on memristor-based neuromorphic computing , reconfigurable smart surfaces , and low-power RF solutions . Recent publications highlight advancements in printed electronics, 2D materials, and sustainable in-memory computing edge devices. Kiazadeh supervises PhD and Master’s students in Micro and Nanotechnology, Electronics, and Materials Science. He has served on the organizing committee of DoCEIS (Doctoral Conference on Computing, Electronics, and Industrial Systems) since 2016 and leads the 'Resistive Switching Technologies for Neuromorphic and RF Solutions' research group.

Zafar Ali Khan Mohammedمشاهده پروفایل

استاد

• Wireless Communications
• MIMO Decoding
• Commensal Radar
• +۷ مورد دیگر

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

Charles Crabtreeمشاهده پروفایل

استادیار

• Discrimination
• Class-based Discrimination
• Political Science
• +۵ مورد دیگر

Charles Crabtree is an Assistant Professor in the Department of Government at Dartmouth College. His research focuses on measuring discrimination across understudied identity groups and contexts, developing methodological frameworks, and exploring interventions to reduce prejudice. He directs the Fundamental Needs Lab, co-founded the Baltic LEAP foreign study program, and co-directs Dartmouth’s Government Honors Program. His interdisciplinary affiliations include the Department of Eastern European, Eurasian, and Russian Studies; Department of Sociology; Program in Quantitative Social Science; and Program in Women's, Gender, & Sexuality Studies. B.A., University of Colorado at Boulder M.A., Northwestern University M.A., Pennsylvania State University Ph.D., University of Michigan Crabtree’s research spans class, race, ethnicity, gender, and disability-related discrimination. He employs field and survey experiments globally, with a focus on the U.S., Eastern Europe, and Japan. Recent work examines AI’s role in reducing prejudice, geopolitical rivalry effects on migration attitudes, and class-based discrimination dynamics. His publications appear in top journals like the American Political Science Review, Nature Human Behavior, and PNAS. His teaching emphasizes statistical reasoning and research design, including courses like Quantitative Political Analysis and Experiments in Politics. He integrates mentoring with hands-on research, co-directing programs that combine academic rigor with intercultural experiences. Student evaluations highlight his empathy, accessibility, and innovative pedagogy. Crabtree’s work has been covered by major media outlets (The Economist, National Public Radio, The Atlantic) and cited in policy documents, including U.S. House testimony. He has received funding from the American Political Science Association, Swedish Research Council, and Tokyo Foundation for Policy Research.

Raphael D. Thöneمشاهده پروفایل

استاد

• Music Theory
• Orchestration
• Arrangement
• +۵ مورد دیگر

Prof. Dr. Raphael D. Thöne serves as Professor of Music Theory, Arrangement, and Orchestration at the Hanover University of Music, Drama and Media (HMTMH), concurrently holding the administrative position of Dean of Studies for Study Committee II. His career uniquely bridges academic scholarship with high-profile creative practice in composition and orchestration for international media and events. His educational foundation includes: Composition degree from Robert Schumann University of Music under Prof. Manfred Trojahn Music theory degree from Folkwang University of the Arts in Essen under Prof. Dr. Dieter Torkewitz Scholarship studies at Berklee College of Music and Boston Conservatory in film scoring and conducting Joint doctorate from University of Music and Performing Arts and University of Vienna focusing on Malcolm Arnold's symphonic works Prof. Thöne's creative scholarship centers on applied music theory with specialized expertise in orchestration techniques for diverse media contexts. His work examines the practical application of theoretical principles in film scoring, radio drama, and large-scale ceremonial productions, emphasizing cross-cultural adaptation of compositional methods. He investigates how traditional orchestral techniques can be innovatively deployed in contemporary media environments while maintaining academic rigor in musical structure and development. His extensive creative output reveals consistent evolution toward increasingly complex international projects spanning cinematic works, television productions, and global EXPO events. The trajectory shows deepening integration of cultural specificity within universal musical frameworks, with recent works demonstrating sophisticated approaches to cross-cultural collaboration in settings ranging from Hong Kong to Dubai and Osaka. Major recognitions include: German Audio Book Prize (2016) for 'Best Radio Play' ('Wir') Lower Saxony Science Prize (2021) in the 'Teaching Prize' category As an educator and administrator, Prof. Thöne maintains active student mentorship while leading academic strategy as Dean of Studies. His professional projects consistently secure external funding through cultural institutions, broadcasters, and international event organizers, demonstrating successful translation of academic expertise into commercially and culturally significant productions. His teaching methodology directly incorporates professional experience, creating a practice-based learning environment that earned formal recognition through the Teaching Prize. Though not leading a formal research laboratory, Prof. Thöne operates through project-based creative teams that assemble specialized musicians, technicians, and cultural consultants for each production, fostering collaborative environments that function as practical research spaces for applied music composition.