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Farhad MohsinView profile

Assistant Professor

• Computational Social Choice
• Fairness in Machine Learning
• Preference Aggregation
• +4 more

Farhad Mohsin is an Assistant Professor in the Department of Math and Computer Science at College of the Holy Cross in Worcester, MA. He earned his PhD in Computer Science from Rensselaer Polytechnic Institute (RPI) between 2018-2023, working with Professor Lirong Xia, and completed his BSc in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology (BUET) from 2010-2015. Prior to his academic career, he worked as a Telecommunications Engineer/Data Analyst at Grameenphone Ltd, Bangladesh. Dr. Mohsin's research focuses on computational social choice, particularly preference aggregation and fair decision-making. He explores ML-based techniques for designing economic mechanisms, with specific interest in fairer voting rules. His broader research interests include natural language processing, interpretable machine learning, and multi-agent reinforcement learning. His recent publications (2021-2024) examine computational complexity of voting paradoxes, election data generation using deep learning, and natural language-based preference aggregation. His work has appeared in top venues including IJCAI, AAMAS, and JAIR. Dr. Mohsin teaches courses including Data Mining, Data Structures, Analysis of Algorithms, Discrete Structures, and Advanced Algorithms. He supervises undergraduate research projects, with recent honors theses on multi-agent reinforcement learning and fairness in zoning laws.

François-Raymond BoyerView profile

Associate Professor

• Computer Architecture
• VLSI Systems
• Microelectronics
• +4 more

François-Raymond Boyer is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds a B.Sc. and Ph.D. from Université de Montréal and teaches courses in programming and digital audio. His research spans: Computer architecture and VLSI systems Network processing and traffic management Digital audio signal processing Hardware acceleration and optimization He is affiliated with ReSMiQ (Strategic Cluster for Microsystems) and OICRM (Music Research Observatory). Recent publications focus on 5G network processing, modular programming frameworks, and high-speed traffic management architectures, primarily in IEEE Access and IEEE Transactions on VLSI Systems. Professor Boyer has supervised 3 PhD and 6 Master's students, with research topics including network architecture, audio processing, and hardware design. No scientific awards are mentioned in the available records.

Johannes ArendView profile

Assistant Professor

• Psychoacoustics
• Spatial Audio
• Virtual Acoustics
• +10 more

Johannes Arend serves as an Assistant Professor in the Department of Information and Communications Engineering at Technische Universität Berlin, specializing in Technical Psychoacoustics within the Faculty of Electrical Engineering and Computer Science. His research bridges acoustic theory, audio technology development, and perceptual evaluation, with significant contributions to virtual reality audio applications and hearing science. His academic foundation includes a Doctoral degree in Engineering and Technology from Technische Universität Berlin, awarded on February 11, 2022. Arend's research portfolio centers on the intricate relationship between physical sound properties and human perception. Key investigation areas include: Virtual and spatial audio rendering techniques Psychoacoustic evaluation of complex sound fields Microphone array processing for sound source localization Voice radiation patterns and phoneme-dependent directivity Real-time room acoustic simulation systems Virtual reality applications for auditory testing Analysis of his 2024-2025 publications reveals a cohesive research trajectory focused on enhancing acoustic realism in virtual environments. His work consistently integrates experimental methodologies with computational modeling to address challenges in stage acoustics, speech intelligibility, and environmental sound reproduction. This research demonstrates strong interdisciplinary connections between audio engineering, cognitive science, and medical applications. No scientific awards were documented in the available profile information. Details regarding student supervision, grant funding, and collaborative projects were not explicitly provided in the current profile, though his publication record indicates active research collaboration. His experimental work is likely conducted within specialized audio laboratories at Technische Universität Berlin, featuring advanced virtual reality integration, anechoic chamber facilities, and high-fidelity recording systems for psychoacoustic experimentation.

• Low vision rehabilitation
• Depth perception
• Binocular vision
• +5 more

Dr. Vincent Nguyen serves as a Senior Lecturer in Orthoptics within the Graduate School of Health at the University of Technology Sydney. With a distinguished career spanning clinical practice, research, and academia, he brings extensive expertise in visual science and rehabilitation. His academic journey began with Honours in Orthoptics (1993) followed by a Master of Applied Science (1996), culminating in a PhD from the University of Sydney (2003) focused on binocular rivalry in visual psychophysics. Dr. Nguyen's research interests focus on low vision rehabilitation, depth perception, binocular vision, and the application of virtual reality and spatial audio technologies for assistive applications. His work bridges fundamental visual neuroscience with practical rehabilitation solutions, particularly for people with visual impairments. He has pioneered research in acoustic touch interfaces, virtual reality rehabilitation environments, and spatial audio navigation systems. His publication record demonstrates a clear trajectory from fundamental visual neuroscience to applied rehabilitation technologies. Recent work emphasizes immersive virtual reality applications for communication and physical rehabilitation, as well as innovative spatial audio systems that enhance navigation for people who are blind. His research integrates principles from neuroscience, engineering, and clinical practice to develop practical assistive solutions. Dr. Nguyen has secured significant research funding including NHMRC Ideas Grants (2023-2027) for 'Fluent Mobility for the Blind Individual Using Multimodal Auditory Sensory Augmentation' and CRC-P projects like 'ARIA - Bionic Visual-Spatial Medical Device for the Blind' (2022-2024). Current projects include 'EyeBot: AI-Powered Triage for Ophthalmology Referrals' (2025) and 'Next-Generation Extended Reality, Wearable Biosensors, and Metaverse Technologies for Medical Applications' (2024). As an educator, Dr. Nguyen teaches courses in Therapy and Rehabilitation (96037), Clinical Management of Refractive Error (96031), and Eye and Visual Systems (96027). His clinical background includes appointments as a Clinical Electrophysiologist with NSW Health (2007) and work with Vision Australia assisting people with low vision (2012). His postdoctoral work at York University's Centre for Vision Research with Professor Ian Howard focused on human depth perception, building on his foundational expertise in visual neuroscience.

• Acoustics
• Noise Measurement
• Microphone Array Technology
• +5 more

Pieter Sijtsma serves as a Professor in the Department of Operations & Environment within Delft University of Technology's Faculty of Aerospace Engineering. His academic career spans over 15 years of specialized research in aeroacoustics, with significant contributions to microphone array technology and noise measurement methodologies. Current affiliations include active roles in the Berlin Beamforming Conference Committee and ongoing collaborations with major aerospace research entities. Professor Sijtsma's research focuses on advanced acoustic measurement techniques for aerospace applications. His work centers on beamforming algorithms , engine noise characterization , and wave propagation modeling in complex environments like wind tunnels and annular ducts. Key specialties include CLEAN-SC deconvolution methods for noise source mapping, directivity pattern analysis, and experimental validation of acoustic assessment techniques. His fingerprint reveals dominant expertise in acoustics (100%), noise measurement (97%), and microphone array technology (68%). Recent publication trends show concentrated activity in improving acoustic field assessment (2025), engine noise directivity determination (2024), and beamforming in swirling flows (2023). His work consistently addresses practical aerospace noise challenges through rigorous experimental validation and mathematical modeling, with strong emphasis on measurement accuracy and algorithmic innovation. Professor Sijtsma actively supervises research through collaborative projects, typically co-mentoring students with colleagues like Snellen and Avallone. His group maintains strong industry connections, evidenced by committee roles with the Ministry of Infrastructure and Environment and participation in international standard-setting conferences. Current projects involve EU-funded research on wind tunnel acoustic correction methods and engine noise source characterization. The research infrastructure leverages TU Delft's advanced wind tunnel facilities with specialized acoustic treatment and high-channel-count microphone arrays. Recent dataset releases confirm access to sophisticated wave propagation modeling tools and experimental validation platforms for closed-test-section environments.

• Wireless Networks
• Mobile Systems
• Network Protocols
• +3 more

Lili Qiu is a Professor in the Department of Computer Science at the University of Texas at Austin and Vice Managing Director of Microsoft Research Asia (Shanghai). She previously worked at Microsoft Research Redmond (2001-2004). Her research spans wireless networks, mobile systems, and network protocols, with recent work in acoustic sensing and AI-driven networking solutions. Research Focus Qiu's research addresses fundamental challenges in: Wireless network performance and interference management Mobile system optimization for real-world environments Acoustic-based localization and tracking technologies Deep learning applications for network reliability Next-generation cellular architectures (5G and beyond) Publication Trends Her recent publications (2020-2023) demonstrate a shift toward multimodal sensing systems combining acoustics and computer vision, edge intelligence optimization, and robust mobility management for next-generation networks. This reflects industry-academia convergence through her dual appointments. Awards and Honors IEEE Fellow (2017) ACM Fellow (2018) National Academy of Inventors Fellow (2022) N2Women: Stars in Networking (2017) ACM Distinguished Scientist (2013) NSF CAREER Award (2006) Best Paper Awards: ACM MobiSys 2018, IEEE ICNP 2017 Leadership and Affiliations She bridges academic research and industrial innovation through her joint appointment at UT Austin and Microsoft Research Asia, where she oversees strategic research directions in computing systems.

Michael CaporizzoView profile

Associate Professor

• Sound Recording Technology
• Audio Engineering
• Music Performance
• +2 more

Michael Caporizzo serves as Associate Professor and Director of the Sound Recording Technology (SRT) program within Ithaca College's School of Music, Theatre, and Dance. He teaches SRT coursework at all levels while advising students and overseeing internships, leveraging his dual expertise as both educator and industry professional. Master of Music in Guitar Performance (Ithaca College) Bachelor of Music in Sound Recording Technology (Ithaca College) His research focuses on the intersection of sound engineering and musical performance, emphasizing fundamental audio concepts, problem-solving in evolving industry landscapes, and collaborative studio practices. Caporizzo investigates live sound reinforcement techniques, orchestral recording methodologies, and the pedagogical integration of studio technology in music education. Recent publications demonstrate consistent output in classical, contemporary, and popular music recording (2017-2022), with specialization in chamber music, solo instrumental works, and genre-crossing productions. His technical credits span orchestral, jazz, rock, and metal contexts, highlighting adaptability across acoustic and electronic domains. Caporizzo maintains active industry engagement as recording/live engineer for artists including Pablo Cohen, Aaron Tindall, and The Roots, while advising SRT students through hands-on studio experiences and internship coordination. His teaching philosophy prioritizes mastery of core audio principles within rapidly changing technological environments. As SRT program director, he oversees curriculum development and industry partnerships, connecting students with professional recording opportunities at venues hosting artists like Pitbull and Frankie Valli.