جستجوی استاد راهنمای دانشگاهی

Peter F. Driessenمشاهده پروفایل

استاد

• Communication
• Signal Processing
• Control Systems
• +۶ مورد دیگر

Professor Peter F. Driessen is a faculty member in the Department of Electrical and Computer Engineering at the University of Victoria, with a cross-appointment in the School of Music. He holds a BSc and PhD from the University of Victoria and is a Professional Engineer (PEng). His research focuses on communication systems, signal processing, control, and interdisciplinary projects in computer music and wireless technologies. Key areas include audio/video signal processing, radio propagation, sound recording, and multimedia systems. He leads the University of Victoria Propagation Laboratory, which explores radio wave propagation and Amateur radio integration with engineering education. His work spans theoretical research and applied projects like ECOSat satellite systems, software-defined radio (SDR), and innovative musical instruments such as the Radio Drum. He supervises undergraduate and graduate projects in these domains through ELEC 499 courses. Notable contributions include the APEGBC Editorial Board Award for Best Paper (2002) and patents in wireless networking and signal processing. His teaching includes courses in signal analysis and electromagnetics, and he collaborates on interdisciplinary programs like the Music/Computer Science degree. Education: BSc in Electrical Engineering, University of Victoria PhD in Electrical Engineering, University of Victoria Research Interests: Audio and video signal processing for music and media Software-defined radio and Amateur radio technologies Satellite communication and ground station development Gesture-based interfaces and musical instrument design Error mitigation in streaming audio/video Optical and microwave-photonic systems Labs & Collaborations: Propagation Laboratory (radio wave research) UVic Experimental Radio Group (Amateur radio club) UVic Satellite Design Team (ECOSat projects) UVic Centre for Aerospace Research Grants & Awards: APEGBC Editorial Board Award (2002) Multiple US patents in wireless systems and signal processing

Gary Edmondمشاهده پروفایل

استاد

• Expert evidence
• Forensic science
• Law and science
• +۴ مورد دیگر

Professor Gary Edmond is a law professor at the University of New South Wales School of Law, directing the Program in Expertise, Evidence and Law. Holding a BA(Hons) from the University of Wollongong, LLB(Hons) from the University of Sydney, and PhD from the University of Cambridge, he bridges legal scholarship with forensic science expertise through extensive research grants and international collaborations. Education: BA(Hons), LLB(Hons), PhD Institutions: University of New South Wales, Australian Academy of Forensic Sciences His research focuses on the intersection of law and forensic science, examining expert evidence reliability, forensic reporting practices, and the adversarial legal system's limitations. With over $1.4 million in research funding since 2007, he leads interdisciplinary projects involving policing agencies and forensic institutions across Australia and international partners. Recent publications analyze judicial handling of expert evidence, cognitive biases in courtroom identification, and forensic science reform. His work has shaped evidence law understanding through the 6th edition of 'Australian Evidence: A principled approach to the common law and the uniform acts' and advisory roles in high-profile inquiries like the Goudge Inquiry. Awards: Fellow of the Royal Society of New South Wales As Chair of the Evidence-based forensics initiative and member of Standards Australia’s forensic science committee, he continues to influence policy while teaching core legal subjects including Courts, Procedure, Evidence and Proof, and Introducing Law and Justice.

• Virtual Reality
• Human-Computer Interaction
• Computer Vision
• +۴ مورد دیگر

Robert S. Allison is a Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. His research focuses on human perceptual responses in virtual environments, stereoscopic vision, and eye movement analysis. He is affiliated with the York Centre for Vision Research, Sensorium (Digital Arts & Technology), and the Centre for Innovation in Computing at Lassonde. His research interests include depth perception in natural and virtual environments, human-computer interface design for VR, machine vision applications, and the measurement of human motion. He has supervised multiple graduate students and contributed to over 260 publications. His work spans topics like cybersickness mitigation, display lag effects, and perceptual adaptation in VR. Key grants include NSERC-funded projects on perception in virtual environments and collaborations with institutions like the Australian Research Council. His teaching includes courses on human perception in human-computer interaction and digital logic design. Recent articles highlight advancements in understanding motion perception, VR-induced sickness, and multisensory integration. He collaborates widely, with affiliations including the VISTA program and York's Connected Minds initiative.

James C. Davisمشاهده پروفایل

استادیار

• Empirical software engineering
• Security
• Safety
• +۷ مورد دیگر

James C. Davis is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. He leads the Duality Lab, which focuses on the engineering of software-intensive computing systems with particular interest in how these systems fail and how those failures can be mitigated. His research takes a socio-technical approach, considering both human and technical perspectives in system engineering. Dr. Davis received his PhD in Computer Science from Virginia Tech, where he was advised by Dongyoon Lee. His research interests span empirical software engineering, security, safety, testing, and web technologies, with a strong emphasis on practical impact and measurement. He applies a socio-technical philosophy to his work, believing high-quality systems must be engineered considering both human and technical perspectives. His recent research focuses on software supply chain security, regular expression vulnerabilities (particularly ReDoS), pre-trained model security, and failure analysis in software systems. His work often involves empirical studies of real-world software systems and security practices, with a strong emphasis on practical impact and measurable results. Dr. Davis has received significant funding from the National Science Foundation, Google, Cisco, and Rolls Royce for his research. His publications appear in top-tier venues including ICSE, FSE, ASE, and USENIX Security. He has served on program committees for many major software engineering and security conferences. Among his notable achievements are being elevated to IEEE Senior Member in 2022, receiving the Ruth and Joel Spira Outstanding Teacher Award from ECE@Purdue in 2022, and multiple Best Paper and Best Poster awards. He has successfully mentored numerous PhD and Master's students, with several completing their theses on topics related to software security and engineering. Dr. Davis actively recruits graduate and undergraduate research assistants for his Duality Lab, which has produced influential work on software failure analysis, regular expression security, and machine learning supply chain security. His lab is supported by multiple federal and industry grants focused on improving the security and reliability of software systems.

Valeria Bruschiمشاهده پروفایل

پژوهشگر

• Audio Engineering
• Signal Processing
• Spatial Audio
• +۵ مورد دیگر

Valeria Bruschi is a Researcher at the Department of Information Engineering (DII) within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. Her academic profile was last updated on April 13, 2024, and she maintains her office at the Engineering Faculty on via Brecce Bianche, with contact information including phone +39 071-220-4486 and email v.bruschi@staff.univpm.it. Dr. Bruschi's research spans multiple domains within audio and signal processing, with particular expertise in spatial audio systems, automotive human-computer interaction, and biomedical signal applications. Her work bridges theoretical signal processing techniques with practical implementations across diverse fields including automotive safety systems, hearing aid technology, sleep medicine, and agricultural monitoring. She has made significant contributions to head-related transfer function (HRTF) processing, real-time audio enhancement algorithms, and innovative monitoring systems that utilize acoustic signals for various applications. Analysis of Dr. Bruschi's recent publications reveals a strong trajectory in developing practical audio processing solutions with real-world applications. Her work shows increasing integration of machine learning techniques with traditional signal processing approaches, particularly in areas like driver monitoring systems, snoring detection and cancellation, and spatial audio rendering. A notable trend is her focus on creating lightweight, real-time implementations suitable for embedded systems and practical deployment scenarios, while maintaining high performance standards. Her research consistently demonstrates interdisciplinary collaboration, connecting audio engineering with fields as diverse as automotive safety, sleep medicine, and agricultural technology. Dr. Bruschi actively contributes to advancing audio engineering through her research on equalization techniques, noise reduction systems, and immersive audio technologies. Her work on pulse compression techniques for hearing aid distortion measurement represents an important contribution to audiological assessment methodologies. Her publication record demonstrates consistent scholarly output with increasing impact across multiple application domains, reflecting her ability to translate theoretical signal processing concepts into practical engineering solutions.

Lukas Fischerمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Translation
• Computational Linguistics
• +۴ مورد دیگر

Lukas Fischer is a researcher specializing in Natural Language Processing and Machine Translation, currently affiliated with the Language, Technology and Accessibility project. He holds an M.Sc. in Artificial Intelligence from the University of Edinburgh (2017-2018) and a B.A. in Computational Linguistics from the University of Zurich (2012-2016). His recent roles include lead developer for the Digilinguo online platform since 2025 and contributions to multimodal machine translation projects like IICT and Bullinger Digital. Research Focus: Machine translation for historical languages (Latin, Early New High German) Text simplification and accessibility technologies Multimodal translation systems Data curation for multilingual historical corpora Code-switching detection in early modern texts Publications highlight his work on SwissADT (audio description translation for Swiss languages), LLM-based Latin translation, and medieval text processing. His projects span both computational linguistics and practical accessibility applications.

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +۶ مورد دیگر

Moncef Gabbouj is a Professor of Signal Processing at the Department of Computing Sciences, Tampere University, Finland. He holds a PhD from Purdue University and has held academic positions including Academy of Finland Professor (2011–2015) and Head of the Department of Signal Processing (2002–2007). His research focuses on artificial intelligence, machine learning, multimedia signal processing, and nonlinear signal/image processing. He has authored over 800 papers and supervised 64 doctoral and 72 master’s theses, earning accolades such as IEEE Fellow, Finnish Cultural Foundation Award, and TUT Foundation Grand Award. Education: BS (Electrical Engineering, Oklahoma State University, 1985), MS and PhD (Electrical Engineering, Purdue University, 1986–1989). Visiting roles include Hong Kong University of Science and Technology and University of Southern California. Research interests include Big Data analytics, multimedia content analysis, pattern recognition, and video coding. He leads the Artificial Intelligence Research Task Force of the Research Alliance on Autonomous Systems (RAAS) and directs the NSF IUCRC Center for Visual and Decision Informatics (CVDI). Awards highlight contributions to signal processing and AI, including IEEE Fourier Award Committee membership and leadership roles in EURASIP and IEEE. Grants and projects span EU Horizon programs, NSF, and industry collaborations.

• Signal Processing
• Biomedical Engineering
• Audio Signal Processing
• +۳ مورد دیگر

Antonio Salvador Pena Gimenez is a full-time researcher at the Universidade de Vigo , affiliated with the School of Telecommunications Engineering and the Department of Signal Theory and Communications . He holds a PhD from the Polytechnic University of Madrid (1995) for his work on Psychoacoustic modeling techniques applied to very high quality audio coding , supervised by Dr. Luis Alfonso Hernández Gómez. Education: PhD in Signal Theory and Communications (Polytechnic University of Madrid, 1995) University Degree in Full-Time Mode His research spans signal processing , biomedical engineering , and audio signal analysis , with a focus on medical applications (e.g., ECG processing) and music information retrieval (e.g., beat tracking, onset detection). He has contributed to non-invasive vital sign monitoring and data compression techniques in audio and biomedical contexts. The 15 most recent articles (prioritized by year) highlight his work in polyphonic music analysis , rhythmic structure modeling , and medical signal compression . Key trends include machine learning for audio processing , biomedical signal analysis , and algorithm development for telemedicine . He has collaborated with institutions including Instituto Politécnico de Setúbal , Instituto de Telecomunicações , and University of Cambridge . His work has been cited 567 times, with an h-index of 9. He is involved in underwater acoustic databases (e.g., ShipsEar) and smartphone-based telecare systems , indicating ongoing work in sensor networks and mobile health applications .

• Building Acoustics
• Community Noise
• Machine Noise
• +۴ مورد دیگر

Krister Larsson is a Professor of Practice and Docent at the Department of Technical Acoustics, Chalmers University of Technology. He also serves as a senior consultant at Efterklang (AFRY) and has held previous roles at SP and RISE, where he managed acoustics labs and conducted senior research. His expertise spans building acoustics , community noise , and machine noise , with significant contributions to noise reduction in urban environments and lightweight structures. Research Interests : Larsson focuses on acoustic modeling , vibroacoustic systems , thermoacoustic devices , and noise control in transportation infrastructure . His work bridges theoretical acoustics and practical applications, including sound classification standards, noise barriers, and sustainable urban planning. Scientific Awards : While no awards are explicitly listed, his extensive publication record and leadership roles in acoustics research groups underscore his professional impact. Teaching & Affiliations : He teaches foundational and advanced courses in the ACE program and Master's program in Sound and Vibration . His career includes collaborations with research institutions (SP, RISE) and industry (AFRY).

• Medical Informatics
• Statistical Science
• Bioinformatics
• +۵ مورد دیگر

Dr. Masato Inoue is a Professor at the Faculty of Science and Engineering , School of Advanced Science and Engineering at Waseda University. He holds a Doctor of Medical Science from Kyoto University. Education: 2003 - Kyoto University Graduate School of Medicine 2003 - Kyoto University His research spans multiple disciplines at the intersection of Medical Informatics , Bioinformatics , and Statistical Mechanics . Key areas include: Medical Imaging : Developing Bayesian super-resolution algorithms and Prior Ensemble Learning for improved MRI reconstruction Voice Analysis : Creating innovative voice quality quantification systems for clinical diagnostics Genetic Analysis : Advancing haplotype inference methods and gene network modeling Signal Processing : Applying statistical mechanics to diverse problems from coding theory to neuroscience His recent publications (2021-2012) demonstrate consistent contributions to medical imaging algorithms , voice disorder classification , and genetic data analysis . Notable collaborations include work with Kyoto University researchers , Swedish medical institutions , and cross-disciplinary teams in bioengineering.

Karlheinz Brandenburgمشاهده پروفایل

استاد

• High quality audio coding
• Digital media formats and standards
• Perceptual measurement techniques
• +۳ مورد دیگر

Karlheinz Brandenburg is a Professor at Technische Universität Ilmenau, holding the Chair of Electronic Media Technology since 2000. He serves as Director of the Fraunhofer Institute for Digital Media Technology IDMT (2004–present) and the Institute for Media and Mobile Communications (2012–present). His work focuses on digital audio coding, perceptual measurement techniques, and psychoacoustics, revolutionizing audio compression through the development of MP3 and AAC standards. Born in Erlangen (1954) Dipl.-Ing. in Electrical Engineering (1980) and Dipl.-Math. (1982), both from Friedrich-Alexander University Erlangen-Nuremberg Ph.D. in Electrical Engineering (1989) from the same university His research spans digital media formats, wave field synthesis, and signal analysis, with applications in audio/video compression. He has received 18+ major awards, including: Honorary Ph.D. degrees from Valencia, Lüneburg, and Koblenz-Landau Induction into Internet Hall of Fame (2014) Election to acatech (2014) Fellowships from IEEE (2006) and AES (1994)

Mohd. Tasleem Khanمشاهده پروفایل

استادیار

• Machine Learning/Artificial Intelligence
• Signal Processing
• Communication Systems
• +۴ مورد دیگر

Dr. Mohd. Tasleem Khan is an Assistant Professor at the Institute of Sensors, Signals, and Systems (ISSS), School of Engineering and Physical Sciences (EPS), Heriot-Watt University. Previously, he held roles as Principal Engineer at TSMC (2019), Assistant Professor at IIT Dhanbad (2020–2021), Research Consultant at KAUST (2020–2021), and Postdoctoral Researcher at Linköping University (2021–2024). He earned his Ph.D. in VLSI for signal processing and communication systems from IIT Guwahati (2019). His research focuses on Machine Learning/AI, Signal Processing, and Communication Systems, with expertise in VLSI architectures. Key contributions include energy-efficient designs for neural networks, adaptive filtering algorithms, and 6G systems. His work bridges theoretical algorithms with hardware implementation, emphasizing low-power and high-throughput solutions. Publications span circuits, systems, and interdisciplinary areas like biochemistry, showcasing his interdisciplinary approach. He has contributed to advancements in distributed arithmetic-based architectures, LMS filters, and FPGA implementations. Current affiliations include the Microwaves and Antenna Engineering Group at Heriot-Watt University, a global leader in wireless systems research.

Milan R. Dincicمشاهده پروفایل

دانشیار

• Metrology and Measurement Technology
• Signal Processing
• Data Compression
• +۳ مورد دیگر

Milan R. Dincic is an Associate Professor at the University of Niš, Faculty of Electronic Engineering, Department of Telecommunications. He holds a PhD in Metrology and Measurement Technology (2017) and a Master’s degree in Telecommunications (2012), both from the same institution. His academic career includes research on quantization techniques, signal processing, and metrology applications. Dr. Dincic’s research focuses on optimizing quantizers for measurement signals, including Gaussian and Laplacian distributions. He has contributed to adaptive quantization, lossless coding algorithms, and hybrid systems integrating codecs like ITU-T G.711. His work bridges theoretical signal processing with practical applications in telecommunications and sensor systems. His publications (26 journal articles) emphasize quantizer design, image sampling, and compression techniques. He co-authored the textbook "Sensors in Vehicles" (2014). Current projects include national/international collaborations in metrology and measurement technology. His lab focuses on advancing signal processing methodologies for precision measurement systems.

• Sound Synthesis
• Physical Modeling
• Virtual Reality Audio
• +۶ مورد دیگر

Cumhur Erkut is an Associate Professor in the Sound and Music Computing group within the Department of Architecture, Design and Media Technology at Aalborg University, Copenhagen, Denmark. With a publication record spanning over two decades from 2000 to present, his research bridges computer science, audio engineering, and creative arts. His primary research interests include Sound Synthesis, Physical Modeling of musical instruments, Virtual Reality Audio, Sonic Interaction Design, and Embodied Interaction. His work demonstrates a consistent focus on the intersection of technology and human experience, particularly in how sound and movement interact in digital environments. His recent publications show a strong shift toward AI-driven audio processing, voice conversion, and differentiable digital signal processing techniques. Dr. Erkut's publication trends reveal an evolution from traditional physical modeling of musical instruments (particularly string instruments like tanbur, clavichord, and guitar) toward more contemporary applications in virtual reality, embodied interaction, and AI-powered audio processing. His work consistently emphasizes real-time performance considerations and human-centered design principles. He has served in significant academic roles, including organizing the 17th International Conference on New Interfaces for Musical Expression (NIME 2017) at Aalborg University, demonstrating his leadership within the international research community. His collaborative network is extensive, with frequent co-authorship with Stefania Serafin, Vesa Välimäki, Antti Jylhä, Rolf Nordahl, and other prominent researchers in the sound and music computing field. These collaborations span multiple institutions across Europe, reflecting the international nature of his research.

Stefanos Papadakisمشاهده پروفایل

مدرس

• Software Defined Radio
• Cognitive Radios
• Radio Resource Management
• +۵ مورد دیگر

Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.