Protocols, interfaces and encoding Professors and Supervisors

Ali Cengiz Beğenمشاهده پروفایل

استاد

Özyegin UniversityTurkey

Ali Cengiz Beğen is a Professor in the Computer Science Department at Ozyegin University in Istanbul. He is also the founder of Networked Media , a technology consulting firm specializing in IP video systems. His career includes technical leadership roles at Comcast and Cisco , where he developed advanced video delivery solutions. Education: PhD in Electrical and Computer Engineering (Georgia Tech, 2006), BSc in Electrical Engineering (Bilkent University, 2001) Research Interests focus on network support for real-time media , including optimized content encoding, low-latency live streaming, and protocol innovation for IP video. His work bridges academic research with industry standards like ISO/IEC JTC1/SC29 (MPEG/JPEG), where he serves as Head of the Turkish National Body . Current projects explore Media-over-QUIC transport , multi-CDN streaming , and reinforcement learning for adaptive streaming. His scientific contributions include 40+ US patents and publications in IEEE Transactions on Multimedia , IETF RFCs, and ACM SIGMM. Awards highlight his impact: Emmy® Award for Technology and Engineering (2020) ACM SIGMM Test of Time Award (2021) SVTA Industry Fellow (2021) ACM Distinguished Member (2020) IEEE Senior Member (2019) Microsoft Bandwidth Estimation Grand Challenge Runner-up (2021) Professional Service includes IEEE Communications Society Distinguished Lecturer (2016-2020) and keynotes at conferences like IEEE ICME and SVTA Webinars . He actively consults for media-tech companies and law firms on video transport standards.

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Judith Tonhauserمشاهده پروفایل

استاد

University of StuttgartGermany

Judith Tonhauser is a Full Professor in the Department of English Linguistics at the University of Stuttgart, where she also serves as Vice Rector for Early Career Researchers and Diversity. She holds a Ph.D. in Linguistics from Stanford University (2006) and a Diploma in Computational Linguistics from the University of Stuttgart (2000). Previously, she held academic positions at The Ohio State University and fellowships at leading research institutions including the Center for Advanced Study at Stanford. Her research investigates natural language meaning through theoretical, experimental, and computational approaches, focusing on projective content, prosody, temporal reference, and social meaning. She conducts cross-linguistic fieldwork on Paraguayan Guaraní and other understudied languages, employing methods like native speaker elicitation, corpus mining, and psycholinguistic experiments. Her work bridges semantics, pragmatics, sociolinguistics, and cognitive science. Awarded the Linguistic Society of America's Early Career Award (2016) and Best Paper in Language (2014), she also received Humboldt and Burkhardt Fellowships. She teaches courses in semantics, pragmatics, psycholinguistics, and sociolinguistics, and actively advises bachelor/master theses with experimental components.

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Sheila Nirenbergمشاهده پروفایل

استاد

Cornell UniversityUnited States

Sheila Nirenberg is a Professor of Systems and Computational Biomedicine at Weill Cornell Medical College, renowned for her pioneering work in optogenetics, retinal prosthetics, and population coding in the nervous system. Her research bridges computational neuroscience and biomedical engineering to develop clinical solutions for visual impairments. B.A., State University of New York at Albany (1983) Ph.D., Harvard University (1993) Her research focuses on decoding neural circuits, particularly in the retina, to design technologies that restore vision. She has developed optogenetic therapies and computational models to understand neural coding, aiming to create high-resolution neuroprosthetics. Her recent work emphasizes translational applications of optogenetics in retinal degenerative diseases, with a focus on clinical viability, ocular safety, and real-time processing platforms. She has contributed extensively to understanding how large neural populations encode and transmit visual information. Nirenberg's lab has also explored retinal ganglion cell dynamics, predictive coding, and the role of correlated firing in neural networks. Her innovations include novel signaling pathways in retinal processing and methods for targeted neural ablation. She leads the Systems and Computational Biomedicine department at Weill Cornell, driving advancements in neuroprosthetic systems and computational models of retinal function.

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Assaf Talمشاهده پروفایل

استاد

Leipzig UniversityGermany

Prof. Assaf Tal is a faculty member in the Department of Bio-Medical Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on developing advanced neuroimaging methodologies using magnetic resonance spectroscopy (MRS) and imaging (MRI) to investigate brain function and disease mechanisms. His primary research interests center on neuroimaging physics and brain disease monitoring , with specific emphasis on: Developing novel MRS/MRI techniques combining spin physics and signal processing Tracking neurochemical changes during cognitive processes Detecting and monitoring neurodegenerative diseases including multiple sclerosis, traumatic brain injury, and Alzheimer's Disease Understanding brain encoding mechanisms across neurochemical, electrophysiological, and structural levels His work bridges biomedical engineering with clinical neuroscience to create improved diagnostic and monitoring tools. Prof. Tal's recent publications (2022-2025) demonstrate strong focus on functional MRS and advanced spectral-temporal analysis , with significant contributions to motion correction, uncertainty estimation, and microstructural modeling in neuroimaging. His research shows increasing integration of computational methods like Bayesian inference and machine learning for precision neuroimaging. His laboratory develops specialized software tools including the Visual Display Interface (VDI) for MRS data processing and simulation, supporting both preclinical and clinical neuroimaging research.

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Tanuj Gulatiمشاهده پروفایل

استادیار مدعو

University of California, Los AngelesUnited States

Tanuj Gulati is an Adjunct Assistant Professor in the Department of Medicine at the University of California, Los Angeles (UCLA). His research bridges neuroscience, neuroengineering, and clinical rehabilitation, with a focus on developing advanced neuroprosthetic systems and understanding neural recovery mechanisms following stroke. He investigates cortico-cerebellar network dynamics, sleep-related neural oscillations, and closed-loop neuromodulation strategies to enhance motor rehabilitation outcomes. His work spans several interconnected domains: Neuroprosthetics & Rehabilitation : Designing systems for adaptive neural control and post-stroke functional recovery. Neural Oscillations : Studying low-frequency brain activity, sleep spindles, and NREM sleep features in health and disease. Motor Learning : Examining cortico-cerebellar coordination during skill acquisition and consolidation. Neuromodulation : Developing epidural stimulation and closed-loop devices to drive neural plasticity. Analysis of his 15 most recent publications (2017–2025) reveals dominant themes in neuroprosthetic control systems , stroke recovery biomarkers , and sleep-dependent neural processing . His research utilizes electrophysiology (EEG), neural stimulation, and computational modeling to decode motor cortex–cerebellar interactions, with translational applications in neurorehabilitation. Recurrent technical focuses include closed-loop stimulation devices, neural synchrony quantification, and behavioral assessment frameworks.

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Benjamin Delawareمشاهده پروفایل

استادیار

Purdue UniversityUnited States

Benjamin Delaware is an Assistant Professor in the Department of Computer Science at Purdue University since 2016. He earned his Ph.D. in Computer Science from the University of Texas at Austin in 2013 under William Cook and Don Batory, following an M.Sc. in Computer Science from Washington University in St. Louis (2007) and a dual B.S. in Computer Science and B.A. in Russian from Truman State University (2005). Research focuses on program synthesis , formal verification , and relational program properties . Key contributions include KestRel (relational verification), PALM (LLM-assisted proof automation), and Clotho (distributed system testing). His publications span top venues like OOPSLA, PLDI, and POPL, with recent work (2025) on coverage-type-guided synthesis and LLM-integrated proof repair . He has received multiple scientific awards , including a SIGPLAN Distinguished Paper Award (2023) and CRII Award from NSF (2018). Ben advises a research group producing graduates such as Qianchuan Ye (now at SUNY Buffalo) and Kia Rahmani (UT Austin postdoc). He teaches graduate courses on program reasoning (CS560) and programming language design (CS456/CS565), with earlier teaching experience at UT Austin. Active in academic service , he served as Program Committee Co-Chair for RocqPL 2026 and CoqPL 2025 , and as Diversity, Equity, and Inclusion Chair at POPL 2023. His grants include NSF funding for input generator verification (2023-2026) and Cisco research on privacy-preserving computation (2022-2023).

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