جست‌وجوی استاد و پژوهشگر

Bo Kum Jungمشاهده پروفایل

پژوهشگر

• THz communication
• Cellular mobile communication
• Wireless backhaul systems
• +۲ مورد دیگر

Bo Kum Jung is a Researcher at the Institute of Communications Engineering, Technical University of Braunschweig, specializing in Terahertz communications and wireless backhaul systems. Working under Prof. Dr.-Ing. Thomas Kürner in the Mobile Communications Systems Department, Jung contributes to cutting-edge research in high-frequency wireless communications, with a focus on 300 GHz systems and reconfigurable intelligent surfaces. Education: Bachelor's degree in Electrical Engineering from INHA University, South Korea (2009-2015) Master's degree in Electrical Engineering from Technical University of Braunschweig (2016-2019) Jung's research focuses on Terahertz (THz) communication systems, particularly at 300 GHz frequencies. Their work addresses critical challenges in wireless backhaul networks, including channel modeling, interference management, and the application of Reconfigurable Intelligent Surfaces (RIS) to enhance signal propagation. They have developed automatic planning algorithms for THz backhaul links using various topologies and analyzed the impact of environmental factors on system performance. The research has practical applications for future 6G networks and high-capacity wireless infrastructure. Analysis of Jung's publication record shows a consistent focus on practical implementation of THz communication systems. Their research spans channel measurements, performance analysis, and system design for 300 GHz wireless networks. A notable trend is the increasing focus on Reconfigurable Intelligent Surfaces as a key technology for overcoming propagation challenges at these high frequencies. Their work bridges theoretical modeling with experimental validation through collaborations with the Institute for Communications Engineering. As a research staff member at TU Braunschweig, Jung collaborates with Prof. Thomas Kürner and other researchers in the Mobile Communications Systems Department. Their work is supported by the university's research infrastructure and contributes to the institution's strategic focus on next-generation communication technologies. The research has potential applications in 6G network development, industrial wireless communications, and high-capacity backhaul solutions.

• Cardiovascular Medicine
• Cardiac Electrophysiology
• Arrhythmias
• +۵ مورد دیگر

Mark Blitzer, MD, is an Associate Professor of Medicine in the Section of Cardiology at the Yale School of Medicine, Department of Internal Medicine. He is a specialist in cardiovascular medicine and cardiac electrophysiology, focusing on the diagnosis and treatment of arrhythmias. Institution: Yale University School: Yale School of Medicine Department: Department of Internal Medicine Specialty: Cardiovascular Medicine and Electrophysiology Dr. Blitzer completed his medical training at Harvard Medical School, residency at Brigham and Women’s Hospital, and fellowship in Cardiovascular Medicine and Electrophysiology at Columbia-Presbyterian Medical Center. He recently transitioned from private practice at the Arrhythmia Center of Connecticut to join the Yale faculty. His research interests include the management and follow-up of patients with cardiac implantable electronic devices such as pacemakers and ICDs. His work addresses critical issues including electromagnetic interference, device communication failures, and long-term monitoring protocols. Collaborative research also extends into integrative medicine approaches, such as yoga for cardiovascular health. The trends in his publications reflect a consistent focus on device-based cardiac care, patient safety, and clinical innovation in electrophysiology. His scholarly contributions emphasize practical clinical guidelines and the identification of underreported device-related complications. Dr. Blitzer has been recognized with multiple honors: Connecticut's Top Doctors (2021, 2022, 2023, 2024) Best Intern Honor, Brigham and Women’s Hospital (1995) Phi Beta Kappa, University of Pennsylvania (1987) Summa Cum Laude, University of Pennsylvania (1987) He is actively involved in clinical and academic service, including participation in the Clinical Competency Committee and Conduction System Pacing Steering Committee at Yale. There is no indication of grant funding or student mentorship in the provided materials, but his clinical and research leadership is evident through his publications and committee roles. He is not described as part-time or retired, and there is no mention of deceased status.

• Medical Biochemistry
• Cell Biology
• Mucin Research
• +۳ مورد دیگر

Sara K. Lindén is a Professor at the Department of Medical Biochemistry and Cell Biology, University of Gothenburg. Her research spans multiple biological systems, focusing on mucin biochemistry, host-pathogen interactions, and glycosylation patterns across human respiratory and gastrointestinal systems, as well as fish mucosal surfaces. Key methodologies include mass spectrometry, histochemical staining, and in vitro infection models. University of Gothenburg, Department of Medical Biochemistry and Cell Biology Research Interests: Mucin structure and function in host defense Glycosylation patterns in human and fish mucosal tissues Pathogen binding mechanisms (Helicobacter pylori, Aeromonas salmonicida, Brachyspira hyodysenteriae) Impact of smoking and inflammation on airway mucin composition Quorum sensing inhibition by host mucins Article Trends: Recent work emphasizes comparative mucin biology across species (human, pig, fish), with applications in infectious disease prevention, COPD pathology, and aquaculture health management. Studies integrate glycomics, proteomics, and functional assays to elucidate molecular interactions. Collaborations: Active in interdisciplinary research involving immunology, microbiology, and veterinary science. Collaborators include teams studying respiratory diseases (COPD), fish pathogens (Aeromonas, Moraxella), and porcine dysentery.

• Human Factors
• Medical Device Ergonomics
• Auditory Displays
• +۳ مورد دیگر

Isaac Salisbury is a Researcher at the School of Psychology, University of Queensland (UQ), specializing in human factors and ergonomics within healthcare and high-tempo environments. His work focuses on optimizing clinical monitoring systems through innovative display technologies and auditory interfaces. Research Highlights Human-computer interaction in clinical settings Medical sonification and auditory display design Head-worn display usability for patient monitoring Evaluation of medical device ergonomics Healthcare workflow optimization Key Collaborations Regularly collaborates with: Penelope M. Sanderson (UQ) Robert G. Loeb (UQ) Paul D. Schlosser (UQ) Ismail Mohamed (UQ) Publication Trends Recent scholarship demonstrates expertise in: Development of head-worn displays for clinical monitoring Comparative studies of tablet vs wearable devices in healthcare Optimization of auditory displays for critical care Human factors analysis in high-tempo environments (restaurants, EMS) Experimental evaluation of medical device interfaces through simulation

• Wireless Communication
• Multi-User MIMO Systems
• Massive MIMO
• +۷ مورد دیگر

Abdullah Yaqot (born October 7, 1980) is a researcher in wireless communication systems, currently affiliated with the Technical University of Lübeck since 2021. His work focuses on the physical layer of communication systems, with expertise in multi-user MIMO, massive MIMO, cognitive radio, and deep learning for wireless optimization. PhD in Digital Communication (University of Kiel, 2017) Research experience at the Institute for Automation and Communication (ifak, 2019-2020) His research encompasses adaptive precoding, resource allocation, channel estimation, and interference management. Recent publications highlight the integration of deep learning techniques (e.g., attention-based networks, complex neural networks) to enhance spectral efficiency and throughput in industrial IoT and MIMO systems. Selected publications cover topics like hierarchical lossless segmentation for image compression (2022), multicell interference mitigation in massive MIMO (2020), and cognitive radio resource allocation (2014). Collaborations include D. Sun, Y. Xi, H. Hellbrück, and L. Rauchhaupt. Published in journals: IEEE Wireless Communication Letters, Neural Computing and Applications Conference contributions: IEEE ICCC, VTC, WCNC, SAS

• Federated Learning
• Wireless Communications
• Communication Efficiency for Distributed Learning
• +۷ مورد دیگر

José Mairton Barros da Silva Jr. is an Assistant Professor in the Division of Computer Systems at Uppsala University, Sweden, starting April 2023. Prior to this, he was a Marie Skłodowska-Curie Postdoctoral Fellow jointly at Princeton University (Department of Electrical and Computer Engineering) and KTH Royal Institute of Technology (Division of Network and Systems Engineering). He holds a Ph.D. in Electrical Engineering and Computer Science from KTH, supervised by Carlo Fischione and Gábor Fodor, and BSc and MSc degrees in Telecommunications Engineering from the Federal University of Ceará, Brazil. Ph.D. in Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 2019 MSc in Telecommunications Engineering, Federal University of Ceará, 2014 BSc in Telecommunications Engineering (with honors), Federal University of Ceará, 2012 His research lies at the intersection of wireless communications and machine learning, with a focus on federated learning, communication efficiency, full-duplex systems, millimeter-wave communications, and vehicular networks. He investigates how to optimize distributed machine learning over constrained wireless channels, leveraging techniques in signal processing, optimization, and network design to improve efficiency, fairness, and scalability. The recent publications highlight a strong trend toward integrating machine learning with wireless system design, particularly in enabling efficient federated learning over-the-air, reducing communication overhead via quantization and lazy aggregation, and enhancing full-duplex mmWave systems through low-resolution hardware and smart beamforming. His 2022 survey on Wireless for Machine Learning serves as a foundational reference in the field. He has been recognized with prestigious awards, including: Marie Skłodowska-Curie Fellowship (2022–2025) Grant from the Ericsson Research Foundation (2022) He has been actively involved in research leadership and dissemination, having served as Secretary for the Full-Duplex and Self-Interference Cancellation Emerging Technologies Initiatives (2018–2021), co-chaired workshops at IEEE GLOBECOM, and delivered tutorials on 'Wireless for Machine Learning' at major IEEE conferences (ICASSP, PIMRC, ICC, GLOBECOM). He has also taught in the KTH-Ericsson Data Science Micro Degree Program. His research has been supported by competitive grants and collaborative institutions including Ericsson, Princeton, and KTH. He contributes to open science through GitHub, where he shares code for full-duplex mmWave beamforming algorithms. He has been affiliated with research labs and teams at KTH, Princeton, GTEL (Brazil), and Rice University, working closely with leading experts in communication theory and machine learning. His future work is expected to advance intelligent, energy-efficient, and scalable wireless systems for distributed AI.

• Big Data Analytics
• Distributed Machine Learning
• Wireless Communication
• +۳ مورد دیگر

Shadi Khalifa is an Adjunct Assistant Professor with expertise in Big Data Analytics , Distributed Machine Learning , and Wireless Communication . His work bridges Cloud Computing and Data Mining with practical applications in MapReduce , Analytics-as-a-Service , and LTE Systems . Research Trends : Analysis of Shadi Khalifa’s publications reveals a focus on distributed computing and big data optimization . Key themes include inter-cell interference coordination in wireless networks, smart big data frameworks , and cloud-based analytics . His work emphasizes scalability, efficiency, and integration of machine learning with infrastructure.

Claudio Giovanni Demartiniمشاهده پروفایل

استاد

• Computer Engineering
• Education Innovation
• Innovation Management
• +۵ مورد دیگر

Claudio Giovanni Demartini is a Full Professor of Computer Engineering at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin . Holding the academic rank of Professor, he has been actively involved in teaching, research, and institutional governance since the 2000s. His affiliations include the GRAINS research group (Graphics and Intelligent Systems), NEXA Center on Internet and Society, and leadership roles in the Academic Senate and Department of Computer Engineering (2015-2019). PhD in Information and Systems Engineering (1987) Engineering Degree in Electronics (1980), Polytechnic University of Turin Research Interests span multiple domains of Computer Engineering and Information Systems , with specific focus on: IT Governance and Enterprise Architecture Digital Transformation in Education Blockchain and Distributed Ledger Technologies Wireless Sensor Networks and Cyber-Physical Systems Innovation Management in Industrial Contexts Human-Machine Interfaces and Virtual Reality Research Trends Analysis reveals consistent engagement with: Data-driven learning organizations (2023-2025) TSCH wireless protocol optimization (2019-2020) Social-technical aspects of IT governance AI applications in educational systems Blockchain for industrial and societal applications Immersive VR interfaces for system control Scientific Distinctions Fellow, IEEE (2007-) Senior Member, IEEE Member, Eta Kappa Nu Honor Association (2017-) Editorial Board, IEEE IT Professional Magazine Advising and Governance includes: Scientific Director for 15+ competitive research projects Leadership in European educational technology initiatives Advising on Italian national education reforms Board roles at Mario Boella Institute and INVALSI

Jessica Mariana Carlssonمشاهده پروفایل

عضو هیئت علمی

• Transcultural Psychiatry
• Trauma and PTSD
• Clinical Research
• +۷ مورد دیگر

Jessica Mariana Carlsson is a Research Associate Professor at the University of Copenhagen and Head of Research at the Competence Centre for Transcultural Psychiatry (CTP), Mental Health Services in the Capital Region of Denmark. She is also Co-PI of the CultMind project and leads a dynamic research group at both CTP and Trauma Research and Treatment (TREAT) at Mental Health Centre Ballerup. Her role integrates research leadership, clinical work, teaching, and supervision. Research Interests: Jessica's work centers on transcultural psychiatry and clinical research on trauma-affected populations, particularly refugees. Her primary focus includes PTSD, treatment development, cultural influences on mental health, and the integration of research with clinical practice through the Treatment and Research Integrated Model (TRIM). She employs both quantitative and qualitative methods and leads neurobiological studies using MRI and EEG. Research Trends: Her recent publications (2023–2025) show a strong emphasis on developing and validating assessment tools (e.g., ScoRE-SR), understanding sleep and pain in PTSD, refining diagnostic processes for migrants, and evaluating interprofessional care models. The studies often involve multidisciplinary collaboration and are published in high-impact journals in psychiatry, sleep research, and transcultural mental health. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Jessica supervises a growing research group and mentors junior researchers. While specific grant details are not listed, her leadership in multiple clinical trials and research initiatives (e.g., CultMind, TRIM) indicates substantial grant-funded work. She actively collaborates with national and international researchers and clinicians, contributing to a broad network in trauma and transcultural mental health. Labs and Teams: She leads research activities at the Competence Centre for Transcultural Psychiatry (CTP) and the Trauma Research and Treatment (TREAT) unit at Mental Health Centre Ballerup. These teams focus on clinical trials, diagnostic innovation, cultural assessment, and neurobiological research in trauma-affected refugees.

Faycal Bouhafsمشاهده پروفایل

مدرس ارشد

• Programmable and software defined wireless networks
• Beyond 5G and 6G communication networks
• Security in Internet of Things
• +۴ مورد دیگر

Dr. Faycal Bouhafs is a Senior Lecturer at the School of Systems & Computing , UNSW Canberra . His research focuses on performance and reliability in wireless communication networks, with expertise in programmable networks, 5G/6G architectures, and IoT security. He leads initiatives in radio resource optimization and physical-layer security using software-defined approaches. Research Interests: Dr. Bouhafs investigates: Programmable wireless networks for dynamic resource allocation Beyond 5G/6G infrastructures supporting massive IoT deployments Security frameworks for cyber-physical systems and IoT ecosystems AI-driven optimization of radio access and network management Publication Focus: Recent works (2020-2025) demonstrate strong emphasis on: Software-defined wireless networking (SDWN) for spectrum sharing Physical-layer security via jamming and deep learning 6G resource optimization and IoT scalability Practical implementations using off-the-shelf equipment

Th. Hummelمشاهده پروفایل

استاد

• Olfaction
• Gustation
• Chemoreception
• +۷ مورد دیگر

Prof. Dr. med. Th. Hummel is a senior physician and department head at the ENT Clinic of the Carl Gustav Carus Medical Faculty, Technical University of Dresden. He leads the Interdisciplinary Center for Smell and Taste and the 'Smell and Taste' department, with a distinguished career in clinical and research aspects of chemosensory function. Education: Human Medicine, University of Erlangen-Nuremberg (1980–1986) Promotion (MD Thesis), University of Erlangen-Nuremberg (1987) Habilitation in Pharmacology and Toxicology, University of Erlangen-Nuremberg (1996) Extraordinary Professorship, TU Dresden (2003) His research focuses on the physiology and pharmacology of smell, taste, and trigeminal sensation , employing psychophysical, electrophysiological, and neuroimaging methods. He investigates chemosensory dysfunction in neurological (Parkinson’s, Alzheimer’s), psychiatric (schizophrenia), and systemic conditions, as well as post-traumatic and post-infectious loss. His work includes developing diagnostic tools like the Sniffin’ Sticks and Universal Sniff Test. Analysis of his recent publications reveals a strong emphasis on olfactory training, neural correlates of smell, chemosensory changes in disease, and methodological innovation in sensory testing , often using fMRI, EEG, and large-scale clinical data. Scientific Awards: ECRO Award for Excellence in Chemosensory Research (1996) Alexander von Humboldt Prize (2009) Professor Dr. Ludwig-Haymann Prize (2018) Prof. Hummel has held editorial roles in major journals including Chemical Senses , European Archives of Otorhinolaryngology , and PLoS One . He has not explicitly listed advisees, but his extensive collaborative network suggests mentorship of junior researchers. His research is supported by numerous publications and high citation metrics (h-index 114, over 52,000 citations). He is actively involved in multiple research consortia across Germany, Austria, and Switzerland, focusing on smell and taste disorders. His lab contributes to both clinical diagnostics and fundamental neuroscience of chemoreception.

Moussa Ayyashمشاهده پروفایل

استاد

• Wireless Communications
• Visible Light Communications
• Internet of Things
• +۷ مورد دیگر

Moussa Ayyash is a Professor in the Department of Computer Science at Chicago State University (CSU), within the College of Arts & Sciences. He serves as the Director of the Center for Integrated Networked Systems and Emerging Research (CINSER), leading cutting-edge research in wireless and networked systems. His research focuses on wireless communications , particularly visible light communications (VLC) , Internet of Things (IoT) , network security , and the integration of artificial intelligence in networking. His work explores coexistence strategies for heterogeneous networks, edge computing for cyber-physical systems, and next-generation 6G indoor flying networks. He has published extensively in top-tier IEEE journals, with a recent emphasis on AI-driven network optimization, hybrid RF-VLC systems, and secure, jamming-resilient IoT communications. Analysis of his recent publications reveals a strong trend toward intelligent, secure, and energy-efficient network architectures. His work bridges theoretical innovation with practical applications in education, healthcare, and transportation, often leveraging machine learning and deep reinforcement learning to solve complex networking challenges in dynamic environments. Fulbright Scholar Program Application (2023) Fulbright Specialist Award (Jordan, 2022) Fulbright Specialist Award (Iceland, 2018) Dr. Ayyash is a principal or co-principal investigator on multiple major federally funded grants, including projects sponsored by the National Science Foundation (NSF) , U.S. Department of Transportation , National Security Agency (NSA) , and the Department of Defense . His grants support initiatives in semiconductor education (Mic2ExL), broadband equity (ABELINC), navigation security (CARNATIONS), and cybersecurity education (GenCyber, SFS). These projects highlight his leadership in both research and educational outreach, often involving student training and community engagement. He leads the Center for Integrated Networked Systems and Emerging Research (CINSER), a research hub focused on advancing technologies in networked systems, cybersecurity, and emerging communication paradigms. His team collaborates on interdisciplinary projects involving AI, IoT, and resilient network design.

Lo’ay Abu Salahمشاهده پروفایل

استاد بالینی

• wireless sensor networks
• network security
• computer networking
• +۵ مورد دیگر

Lo’ay Abu Salah is a Clinical Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago (UIC), affiliated with the College of Engineering. His research focuses on wireless sensor networks, network security, computer networking, communications and signal processing, and interdisciplinary product development. He has contributed extensively to trust-aware routing protocols in mobile ad hoc networks and network security. PhD (2006), Electrical and Computer Engineering, University of Illinois at Chicago MSc (1999), Communication Engineering, University of Jordan BSc (1997), Electrical and Computer Engineering, Philadelphia University His work spans wireless network security, trust management, and simulation models, with a particular emphasis on adaptive protocols for dynamic environments. Recent publications analyze trust metrics, mobility impacts, and fuzzy logic applications in mobile ad hoc networks. He received the IDEAL Scholar award from the Institute for the Development of Excellence in Assessment Leadership in 2008. He is a member of IEEE since 1993 and served on technical program committees for network security symposia. He founded and directed the UIC Industry Training and Collaboration Center (ITCC) in 2009. His professional service includes technical program committee roles for IEEE and Globecom conferences.

Carol Heckmanمشاهده پروفایل

استاد

• Cell Signaling
• Cell Adhesion
• Cytoskeleton
• +۳ مورد دیگر

Dr. Carol Heckman is a faculty member in the Department of Biological Sciences at Bowling Green State University's College of Arts and Sciences. Her research focuses on uncovering how cells manage complex signaling pathways through membrane-bound scaffolds and lateral mobility restrictions, particularly in the context of feature classification, cell adhesion, and cytoskeletal motility mechanisms. Research Trends : Analysis of her publications reveals consistent exploration of TRP channel dynamics , protein kinase interactions , and cytoskeletal regulation across cellular sensing, migration, and receptor trafficking. Key subfields include filopodia-mediated signaling , signalosome assembly , and membrane biophysics . Techniques : Utilizes advanced methodologies like Tolansky interference microscopy , quantitative biophysics , and fractal analysis to investigate cellular processes.

Sudharman K. Jayaweeraمشاهده پروفایل

استاد

• Cognitive Radios
• Wireless Communications
• Statistical Signal Processing
• +۷ مورد دیگر

Dr. Sudharman K. Jayaweera is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico, Albuquerque, NM. He holds a PhD in Electrical Engineering from Princeton University (2003), an MS in Electrical Engineering from Princeton University (2001), and a BE in Electrical and Electronic Engineering with First Class Honors from the University of Melbourne, Australia (1997). He is a Senior Member of IEEE and serves as an editor for IEEE Transactions in Vehicular Technology. Dr. Jayaweera's research spans several key areas in modern communications and signal processing: Cognitive radios and autonomous learning systems Wireless communications and statistical signal processing Machine learning applications in communications Smart-grid technologies and cyber-physical systems Satellite communications and space networks Vehicular networks and distributed systems His recent work shows a clear trend toward integrating artificial intelligence with traditional communications systems, particularly focusing on UAV networks, spectrum management, and security aspects of cognitive radio systems. The publications reflect a strong emphasis on practical implementations of theoretical concepts, with applications ranging from smart grids to space communications. Dr. Jayaweera has received numerous scientific awards including the IEEE PACRIM 2011 Gold Award for Best Communications Paper, the IEEE AVSS '06 Best Paper Award, and the WPMC '03 Excellent Paper Award. He has also been recognized with fellowships including the National Research Council (NRC) Senior Fellow at the Naval Postgraduate School and ASEE Air Force Summer Faculty Fellow. As an advisor, Dr. Jayaweera has mentored numerous graduate students to completion of their PhD and MS degrees. His former students have gone on to successful careers at institutions including Syracuse University, SUNY Oswego, Qualcomm, Sandia National Labs, and other leading technology companies. He also directs the EYES Summer Internship program for international students at UNM. Dr. Jayaweera leads the Communications and Information Sciences Lab (CISL) and the Cognitive Radio Lab (CRL) at UNM, where his teams work on cutting-edge research in autonomous cognitive radios (which he terms "Radiobots"), machine learning for communications, and next-generation wireless systems.