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Aijun SongView profile

Associate Professor

• Underwater Acoustic Communications
• Signal Processing
• Robotics
• +5 more

Dr. Aijun Song is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alabama College of Engineering. He is affiliated with the Center for Water Quality Research and the Alabama Water Institute. His work bridges engineering, environmental science, and technology, with a focus on developing innovative underwater communication systems and autonomous vehicle technologies for water monitoring applications. Dr. Song's educational background includes: Ph.D. in Electrical and Computer Engineering from University of Delaware M.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China B.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China Dr. Song's research primarily focuses on underwater acoustic communications, signal processing, and autonomous vehicle technologies. His work addresses challenges in underwater wireless communications including channel modeling, equalization techniques, and full-duplex communication systems. He has made significant contributions to the development of underwater sensor networks, acoustic transceivers, and communication protocols for autonomous underwater vehicles. His research has important applications in environmental monitoring, ocean exploration, and water quality assessment. Dr. Song's recent publications demonstrate a strong trend toward practical implementations of underwater communication technologies, with increasing emphasis on reconfigurable intelligent surfaces, energy-efficient systems, and real-world testbed validation. His work spans theoretical development, simulation, and extensive field testing in lake and river environments. The research addresses critical challenges in underwater communication including channel variability, interference cancellation, and long-range transmission. Dr. Song has received notable recognition for his work: NSF CAREER Award from the National Science Foundation (2021) Outstanding Faculty/Staff-Initiated Engagement Effort by the Council on Community-Based Partnerships at the University of Alabama (2019) Outstanding Service Award from the 8th ACM International Conference on Underwater Networks & Systems (2013) Dr. Song actively mentors students and collaborates on interdisciplinary research projects. He serves as co-principal investigator for the USGS FLOW Academy, working with Dr. Lisa Davis and Dr. Steven Burian to provide hands-on water science education. His leadership in the Tuscaloosa MATHCOUNTS program has significantly impacted local STEM education, particularly for underserved populations and female students. Dr. Song's research has been supported by significant funding including an NSF CAREER award and collaborations with the US Geological Survey. Dr. Song leads a research team focused on underwater robotics and wireless communication technologies. His lab develops and tests autonomous underwater vehicles including JaiaBots and EcoMapper systems. The team is advancing underwater swarming technologies to enhance water monitoring capabilities, with an emphasis on creating open-source, low-cost solutions for automated water data collection and rapid flood disaster response. Recent field demonstrations at the Black Warrior River and Lake Tuscaloosa showcase the practical applications of his research.

Teerachot SiriburanonView profile

Assistant Professor

• CMOS wireless transceiver systems
• clock/frequency generation
• millimeter-wave circuits
• +3 more

Dr. Teerachot Siriburanon is an Assistant Professor in the School of Electrical and Electronic Engineering at University College Dublin (UCD), Ireland. He joined UCD as a Post-Doctoral Researcher in 2016 under the prestigious Marie Skłodowska-Curie Individual Fellowship Program and was promoted to Assistant Professor in 2019. His educational background includes: B.E. degree in Telecommunications Engineering from Sirindhorn International Institute of Technology (SIIT), Thailand, 2010 M.E. and Ph.D. degrees from Tokyo Institute of Technology, Japan, 2012 and 2016 respectively Dr. Siriburanon's research focuses on CMOS wireless transceiver systems and clock/frequency generation for both wireless and wireline communication applications. His work spans millimeter-wave circuit design, phase-locked loops, low-noise amplifiers, and quantum computing circuitry. He has made significant contributions to the field of ultra-low jitter frequency synthesis and has developed innovative techniques for flicker phase noise reduction in oscillators. His research demonstrates expertise in advanced CMOS technologies including 22-nm FD-SOI and 28-nm processes. His recent publications reveal a strong trend toward addressing critical challenges in 5G/6G communications, quantum computing hardware, and high-precision frequency synthesis. The research spans both theoretical modeling and practical circuit implementations, with particular emphasis on optimizing performance metrics such as phase noise, jitter, and power efficiency in high-frequency applications. Dr. Siriburanon has received numerous prestigious awards including: Marie Skłodowska-Curie Individual Fellowship (2017) Science Foundation Ireland (SFI) Frontiers for the Future Project (2021) IEEE Solid-State Circuits Outstanding Reviewer (2024) IEEE CASS Best Reviewer for TCAS-I (2022) Multiple best paper awards at international conferences As an educator and research leader, Dr. Siriburanon serves as a thesis supervisor for PhD students and coordinates courses in Circuit Theory and Electronic Circuits. He currently leads active research projects including 'Massive Array of mm-Wave Transmitters with Digital Pencil Beam Steering for 5G Communications and Radars' and 'Smart RFDAC with AI-Assisted Calibration'. His service to the academic community includes membership on the Technical Program Committees of the IEEE Radio Frequency Integrated Circuits Symposium (RFIC) and the IEEE International Solid-State Circuits Conference (ISSCC), as well as editorial roles for IEEE Transactions on Circuit and Systems.

Rongqing HuiView profile

Professor

• Optical Communication Systems
• Novel Photonic Devices
• Biosensors
• +6 more

Rongqing Hui is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. His work bridges optical communication systems, photonic device innovation, and biomedical applications such as biosensors and bioimaging. Education : Ph.D. in Electrical Engineering (1993, Politecnico di Torino, Italy); M.S. (1988) and B.S. (1982) in Electrical Engineering from Beijing University of Posts & Telecommunications, China. Research Interests include: Optical/RF Measurement and Biosensors Novel Photonic Devices Optical Communication Systems Publication Trends highlight advancements in coherent lidar, distributed Raman amplification, quantum dot lasers, and digital subcarrier multiplexing for high-speed networks. His work often integrates nonlinear optics, femtosecond lasers, and signal processing. Awards : Miller Award for Distinguished Research (2002) Bellow Scholar Award for Distinguished Research (2012) He has authored two textbooks: Fiber Optic Measurement Techniques (2009) and Introduction to Fiber-Optic Communications (2019). His industrial experience spans roles at Bell-Northern Research, US Naval Research Laboratory, and Italian telecommunication institutes.

• Silicon Photonics
• Microwave Photonics
• Optical Interconnection
• +2 more

Kiyoto Takahata is an Associate Professor at the Faculty of Science and Engineering, Graduate School of Information, Production and Systems. His research focuses on silicon photonics, optical semiconductor devices, and high-speed optoelectronic integration. Primary research areas include silicon photonics, microwave photonics, and optical interconnection Specializes in electro-absorption modulator integrated distributed feedback lasers Developed membrane lasers and modulators on silicon platforms Recent publications highlight advancements in high-bandwidth photonic devices, with a focus on integrated optics for 100Gb/s+ data transmission. His work includes: Microring resonators for photonic computing MMI couplers for all-optical logic Membrane laser-modulator integration on Si Dispersion-tolerant modulation techniques He has contributed to: Flip-chip interconnection methods Low-voltage operation of optoelectronic devices Multi-lane photonic modules

• Telecommunications
• Wireless Communication
• Terahertz Technology
• +7 more

Kazuhiko Tamesue is an Associate Professor at the Faculty of Science and Engineering , Waseda University , with a focus on Terahertz Communication , Artificial Intelligence , and IoT Network Security . His academic journey spans academia and industry, including long-term roles at Panasonic Corporation (1991–2009) and current leadership in advanced wireless systems since 2022. Research Areas : Telecommunications, Wireless Hardware, Data Science, Machine Learning, Atmospheric Sensing Key Contributions : Pioneering 300GHz OFDM transceivers, AI-driven GNSS spoofing detection, and dual-frequency THz radar for cloud physics Projects : NICT-funded terahertz networks (2023–2024), ultra-low-latency systems (2022–2024), and security-enhancing radar technologies His 15 most recent publications (2024–2008) demonstrate expertise in (1) terahertz propagation for NTN/HAPS platforms, (2) machine learning for security (LSTM, GANs), and (3) next-generation IoT protocols (LPWAN, distributed ledger). He holds 20+ patents in antenna design, direct-conversion receivers, and power line communication. As an IEEE and IEICE member, he contributes to standards in 5G/6G and EMC.

• Organic Synthesis
• Dye-Sensitized Solar Cells
• Photochemistry
• +4 more

Dr. Selin Temürlü serves as a Lecturer in the Department of Materials Science and Nanotechnology Engineering at Eastern Mediterranean University, with prior experience as a Research Assistant in the same institution's Chemistry Department during her graduate studies. Her academic journey includes: Undergraduate: Chemistry Education at Balıkesir University (2008) Graduate: Master's and Doctoral studies in Organic Chemistry, Eastern Mediterranean University Dr. Temürlü's research centers on advanced material systems, with particular emphasis on organic synthesis for energy applications, dye-sensitized solar cells , photochemical processes , perylene-based compounds , and functional polymers . Her work bridges molecular design with practical electronic and energy conversion devices, targeting innovations in sustainable materials science. She maintains an active publication record in international journals, building on laboratory expertise developed through hands-on project involvement during her graduate career. While specific lab infrastructure details aren't public, her research group focuses on synthesizing and characterizing novel organic materials for next-generation applications.

Steven DufourView profile

Professor

• Numerical modeling
• Finite element methods
• Multiphase systems
• +4 more

Professor Steven Dufour is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. With a career spanning over two decades since completing his Ph.D. in 1999, he has established himself as an expert in numerical modeling, particularly in the areas of finite element methods and multiphase systems. His academic journey began with B.Sc. and M.Sc. degrees from the University of Montreal, followed by a Ph.D. from Polytechnique Montréal. Professor Dufour's research focuses on the numerical modeling of free surface flows in industrial processes, with expertise recognized by NSERC in modeling, simulation, and finite element methods (topic 2107) and polyphase systems (topic 2202). Professor Dufour's research interests span computational fluid dynamics, finite element analysis, and more recently, the integration of machine learning techniques with traditional numerical methods. His work has evolved from foundational research in adaptive finite element methods for multiphase flows to cutting-edge applications combining physics-informed neural networks with computational fluid dynamics, electromagnetic field analysis, and millimeter-wave sensing. His publication record demonstrates consistent research productivity, with 23 publications documented across computational mathematics and engineering applications. The most recent publications from 2024 show his adaptation to emerging methodologies in computational science, particularly the application of physics-informed neural networks to solve complex fluid dynamics problems. NSERC Expertise: Modeling, simulation and finite element methods (2107) NSERC Expertise: Polyphase Systems (2202) Supervised 7 doctoral students to completion Supervised 13 master's students to completion Professor Dufour has maintained active research funding and supervision throughout his career, mentoring students in both theoretical numerical methods and practical engineering applications. His collaborative work spans multiple engineering disciplines, connecting computational mathematics with real-world industrial and biomedical problems.