جستجوی استاد راهنمای دانشگاهی

Sam Behsetaمشاهده پروفایل

استاد

• Bayesian Statistics
• Neuroscience
• Biostatistics
• +۴ مورد دیگر

Sam Behseta is a Professor of Statistics at California State University, Fullerton (CSUF), and a Fellow of the American Statistical Association. He serves as Director of the Center for Computational and Applied Mathematics (CCAM). He holds a PhD from Carnegie Mellon University, an MS from San Diego State University, and a BS from Tehran National University. His research focuses on Bayesian Statistics, Neuroscience, Biostatistics, Probabilistic Watermarking, and Education Data Modeling, with a strong emphasis on interdisciplinary applications. Recent scholarly work includes advancements in Bayesian modeling for neuroscience, innovations in GNSS technology, and educational initiatives to enhance data science training. His publications reflect collaborations across fields like telecommunications, immunology, and public health. Behseta has contributed to editorial roles for the CHANCE journal and the development of integrated research programs between CSUF and UC Irvine. Education: PhD, Carnegie Mellon University MS, San Diego State University BS, Tehran National University Research interests span statistical methodology, neuronal data analysis, and the integration of statistical education with modern computational tools. His work often addresses practical challenges in signal processing, satellite systems, and disease modeling, such as pulmonary coccidioidomycosis. Awards: Fellow of the American Statistical Association Behseta has directed grants supporting interdisciplinary initiatives, including the Big Data Science Training Program at a Minority Serving Institution. He actively promotes collaborations through CCAM and has advised on curriculum development for dual-language education programs in science and mathematics. He is affiliated with CSUF’s Department of Mathematics and leads the CCAM, fostering research in applied mathematics and computational methods. His professional network includes prominent statisticians like Hal Stern and Robert Kass, reflecting his role as an interviewer and collaborator in the field.

• Wireless Communications
• Integrated Sensing and Communications (ISAC)
• Millimeter-wave Systems
• +۷ مورد دیگر

Kai Wu is an Associate Professor at Xidian University's School of Electronic Engineering, working within the MOE Key Laboratory of Intelligent Perception and Image Understanding in Xi'an, China. His research spans wireless communications, integrated sensing and communications (ISAC), and signal processing, with a particular focus on millimeter-wave systems, radar signal processing, and MIMO technologies. He maintains strong collaborative ties with international researchers, particularly with J. Andrew Zhang, Y. Jay Guo, and Xiaojing Huang from institutions including University of Technology Sydney. Dr. Wu's research interests center on the integration of communication and sensing technologies, with significant contributions to frequency-hopping MIMO radar-based communications, angle-of-arrival estimation, and RIS-assisted ISAC systems. His work addresses critical challenges in wireless communications including spectrum efficiency, channel modeling in complex environments, and the development of energy-efficient communication systems. Recent research has expanded into transformer-based deep learning approaches for signal processing applications and the application of magnetic particle spectroscopy in biomedical contexts. Analysis of Dr. Wu's publication record reveals a strong focus on practical implementations of theoretical concepts, with numerous experimental validations of proposed communication and sensing techniques. His work demonstrates a clear progression from fundamental signal processing techniques to integrated communication-sensing systems, with increasing emphasis on RIS-assisted technologies and machine learning applications in recent years. The interdisciplinary nature of his research spans telecommunications engineering, signal processing, and biomedical applications. Dr. Wu has established himself as a leading researcher in the field of integrated sensing and communications, with over 40 publications in top-tier IEEE journals and conferences. His collaborative network includes prominent researchers in wireless communications, and he serves as a frequent reviewer for major IEEE publications in his field. While specific grant information isn't detailed in the available records, his extensive publication output suggests successful funding from national research programs in China.

Manuel Ferdikمشاهده پروفایل

دانشیار

• RFID Technology
• Wireless Sensor Networks
• IoT Applications
• +۳ مورد دیگر

Manuel Ferdik is currently the Head of Research Focus Electronics & Data Analytics at the Management Center Innsbruck (since 2023) and holds the position of Associate Professor (FH) there since 2021. Previously, he served as Senior Lecturer (2021), Lecturer at Kufstein University of Applied Sciences (2018–2021), and University Assistant at the University of Innsbruck (2014–2019). He earned his Dr. techn. in Technical Sciences from Leopold-Franzens-University Innsbruck (2015–2019), M.Sc. in Industrial Engineering, and dual Dipl.-Ing./B.Sc. in Mechatronics. Research Interests include RFID technology, low-power electronics, wireless sensor networks, IoT applications, and Industrie 4.0. His work focuses on optimizing energy efficiency in embedded systems, developing secure communication protocols for passive devices, and advancing data analytics in industrial contexts. Awards include the prestigious Eduard Wallnöfer Prize (2023) and Science Prize 2019 from Tyrol Chamber of Commerce. He has supervised numerous theses in automation, predictive maintenance, AI-driven solutions, and digital transformation. His teaching spans electrical engineering, data science, IoT, and Industry 4.0 across multiple institutions. He also holds a Lean Production Green Belt certification from Danube University Krems.

James S. Lehnertمشاهده پروفایل

استاد

• Wireless Communication Networks
• Spread Spectrum Communications
• Signal Processing
• +۵ مورد دیگر

James S. Lehnert is a Professor at the School of Electrical and Computer Engineering , Purdue University, where he has been since 1984. He holds a B.S., M.S., and Ph.D. from the University of Illinois at Urbana-Champaign (1978, 1981, 1984). His research focuses on spectrum management , CDMA systems , channel estimation , and spread spectrum communications . He has led projects for DARPA, NSF, and the Air Force Office of Scientific Research, collaborating with institutions like the University of Michigan and Ohio State University. He has authored numerous articles in top journals like IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications . His awards include the IEEE MILCOM Lifetime Achievement Award (2009) and recognition as a Highly Cited Researcher (2000-2010). He is also a Fellow of the IEEE for contributions to spread-spectrum communications. Dr. Lehnert has advised over 30 graduate students, many of whom now hold prominent roles in academia and industry. He teaches advanced courses such as ECE544: Digital Communications and ECE639: Error Control Coding . His research group operates the Spread Spectrum and Satellite Communications Research Laboratory (S3CRL).

Daniel M. Mittlemanمشاهده پروفایل

استاد

• Terahertz Science
• Optical Physics
• Wireless Communication
• +۴ مورد دیگر

Daniel M. Mittleman is a Professor of Engineering at Brown University's School of Engineering. He received his Ph.D. in Physics from the University of California, Berkeley, and previously held a faculty position at Rice University's ECE Department before joining Brown in 2015. Education: B.S. in Physics, Massachusetts Institute of Technology (1988) M.S. and Ph.D. in Physics, University of California, Berkeley (1990, 1994) Research interests span the science and technology of terahertz radiation, including: Terahertz wireless communications for future networks above 100 GHz Spectroscopic studies of condensed matter systems and complex materials Development of near-field probes for sub-wavelength imaging Device concepts for modulation, multiplexing, and beam steering in THz systems His work on terahertz wireless systems focuses on channel properties, security against eavesdropping, and physical layer components. Recent terahertz spectroscopy includes pressure-dependent studies and analysis of vibrational modes in soft matter systems. Antenna and metasurface research explores novel designs for wavefront engineering and secure communication. Scientific awards include Fellowships from the Optical Society of America, IEEE, and the American Physical Society. Students and collaborators include Ph.D. candidates Zhaoji Fang, Pingchuan Ma, and Chloe Stults, as well as postdoctoral fellows Johanna Kölbel and Kevin Mutai. He teaches courses such as ENGN 0030 - Introduction to Engineering and ENGN 1730 - Lasers and Nonlinear Optics .

Joan Lluís Pijoan Vidalمشاهده پروفایل

استاد

• Advanced HF Communications
• Power Line Communications
• Wireless Communications
• +۲ مورد دیگر

Joan Lluís Pijoan Vidal is a Professor at the Department of Engineering, La Salle Campus Barcelona, Ramon Llull University, currently serving as Director of the Telecommunication Systems Engineering degree and leading the Research Group on Internet Technologies & Storage (GRITS). His academic credentials include: MsC in Telecommunications from Polytechnical University of Catalonia (UPC) in 1994 PhD from Ramon Llull University (URL) in 2000 Professor Pijoan's research focuses on adaptive multicarrier modulations for HF communications , NVIS (Near Vertical Incidence Skywave) , and Power Line Communications , with significant applications in Antarctic sensor networks and Internet of Things infrastructure. His work bridges theoretical signal processing with practical field implementations in extreme environments. His publication portfolio (30 journal articles, 70+ conference papers) reveals consistent expertise in wireless channel modeling, resource allocation for OFDMA systems, and power line communication technologies, often validated through Antarctic field tests. Recent work emphasizes IoT integration in harsh environments like the SHETLAND-NET and XIoT projects. He has supervised over 190 master's/bachelor's theses and 8 PhD dissertations while directing 19 research projects, including Antarctic sensor communications under ENVISERA. His leadership extends to European COST Actions and industry technology transfer initiatives with IT companies. Currently heading GRITS, he previously directed the Catalan Government-awarded GRECO research group (2001-2014) and served as Department Head of Communications and Signal Theory for a decade.

Ahmed Solymanمشاهده پروفایل

مدرس

• Equalizers Engineering
• 6G Networks
• Fourier Transform
• +۲ مورد دیگر

Ahmed Solyman serves as a Lecturer in Electrical Power Engineering at Glasgow Caledonian University, with an active research profile focused on communications and power systems engineering. His academic work shows a strong publication trajectory with significant output in recent years. Dr. Solyman's research interests center around Equalizers Engineering (91% focus), 6G Networks (85%), Systems-based approaches (82%), Fourier Transform applications (78%), Power Engineering (77%), and Multicarrier Systems (69%). His work bridges theoretical signal processing with practical applications across telecommunications and power systems. Analysis of his recent publications (2025) reveals a strong focus on advanced communication systems, with particular emphasis on OFDM technology, equalization techniques, and applications in IoT, intelligent transportation, and underwater communications. His research also spans biometric security and robotics vision systems, demonstrating interdisciplinary breadth. With an h-index of 21 and 1032 citations, Dr. Solyman maintains an active research program. His current project involvement includes the Training Hub for Clean Energy Transition Technologies in Nigeria, where he serves as a Co-Investigator developing AI-driven solutions for electricity distribution challenges. Dr. Solyman is actively engaged in multiple research areas with practical applications in modern communication and power systems, contributing to both theoretical advancements and real-world technological solutions.