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Ben HougeView profile

Professor

• Music Technology
• Video Game Audio
• Interactive Music
• +7 more

Ben Houge is a Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where he has been teaching music technology since 2011. He also serves as a Senior Audio Lead at Bungie and previously held key audio roles at Sierra and Ubisoft. His work spans academia, game audio, digital art, and immersive multisensory experiences. Bachelor of Arts in Music, St. Olaf College (1996) Houge’s research and artistic practice focus on the intersection of music, technology, and sensory experience. He is best known for his food operas —multisensory dining events that use real-time, interactive soundtracks delivered via mobile devices. These projects apply video game audio techniques to everyday experiences, exploring cross-modal correspondences between taste and sound. His work often involves algorithmic composition, audience participation, and interdisciplinary collaboration with chefs, scientists, and musicians. His recent creative output includes large-scale installations and performances such as Night Rain , On the Sensations of Beer , and Mugaritz XX , which blend real-time audio, mobile technology, and cultural narratives. His publications and performances reflect a strong trend in interactive music systems , site-specific sound design , and audience-engaged art , often drawing from historical, poetic, and scientific sources. Selected awards and recognitions include: Faculty-Led Innovations in Education (FLY) Grant (2019) Berklee Newbury Comics Faculty Fellowship (2017) Knight Foundation Grant (2015) Artist Residency at MIT (2011) Shortlist, Guggenheim YouTube Play Biennial (2010) Stranger Genius Award (2004) Houge lectures widely at institutions such as MIT, Harvard, and the Shanghai Conservatory, and at major conferences including GDC, ICMC, and TEDx. He has advised and mentored students through academic and project-based learning, particularly in the areas of audio programming and interactive media. His work has been supported by grants from the Knight Foundation and Berklee, enabling large-scale public and collaborative art projects. He is actively involved in the global digital art and game audio communities, with exhibitions and performances across North America, Europe, and Asia. He has led initiatives such as the Vox Festival and the launch of Berklee’s master’s program in Valencia, Spain. His labs and creative teams often involve collaborations with ensembles like Zeitgeist, institutions like the Boston Symphony Orchestra, and research groups such as Oxford’s Crossmodal Research Laboratory.

Yu BaiView profile

Associate Professor

• Artificial Intelligence (AI)
• Computer Architecture
• Neuromorphic Computing
• +8 more

Yu Bai is an Associate Professor of Computer Engineering at California State University Fullerton and a Research Associate Professor at the Institute of Mathematical Sciences since 2023. His research spans artificial intelligence (AI), neuromorphic computing, low-power hardware design, and nano-scale computing systems. He holds a PhD in Electrical Engineering from the University of Central Florida (2016), an MS in Electrical and Computer Engineering from the University of Texas-Pan American, and a BS in Electrical Engineering from Ukraine National Aviation University. Research interests include AI applications in robotics, STEM education, and embedded hardware, alongside design automation and CMOS circuit design. His work has been supported by grants from the Army Research Office, National Science Foundation, and National Academies of Sciences. Notable contributions focus on neural network acceleration frameworks, energy-efficient architectures, and spin-based neuromorphic fabrics. He previously worked at Siemens Energy Inc. on data analysis before transitioning to academia.

Sonia CorianiView profile

Professor

• Quantum Chemistry
• Computational Spectroscopy
• Molecular Properties
• +7 more

Sonia Coriani is a Professor in Physical Chemistry at DTU Chemistry, Technical University of Denmark, since 2017. She leads a research group focused on theoretical chemistry and computational spectroscopy. Her academic journey includes a PhD from Aarhus University (2000), a permanent research scientist position at the University of Trieste (1999-2014), and associate professorship there since 2014. She held an adjunct associate professor position at the Centre for Theoretical and Computational Chemistry in Oslo (2007-2011) and was a Marie Curie IEF fellow (2010-2012) and AIAS-COFUND senior fellow (2015-2016). Education: Chemistry, University of Modena (1993) PhD in Theoretical Chemistry, Aarhus University (2000) Her research centers on developing quantum-chemical methodologies for static and dynamic molecular properties, particularly for systems with high dimensionality, complex environments, or novel spectroscopic phenomena. Key areas include non-linear optical experiments, magnetic circular dichroism, X-ray spectroscopies, and quantum computing applications in chemistry. Her recent publications highlight advancements in quantum linear response theory, polarizable embedding environments, X-ray absorption in water, and quantum algorithms for molecular properties. Collaborative work spans interdisciplinary projects with experimentalists, covering gas-phase molecules to biomolecular systems. Scientific Awards: Marie Curie IEF fellowship AIAS-COFUND senior fellowship Her work addresses challenges in ultrafast dynamics, photoionization, and the intersection of chemistry with physics and computational science, emphasizing accuracy and novel experimental guidance.

• Computer Science
• Information Security
• Cloud Computing
• +6 more

Radu Sion is a Professor at the Department of Computer Science, Stony Brook University, specializing in Computer Science , Information Security , Cloud Computing , Data Privacy , and Cryptography . His research focuses on secure data outsourcing, trusted hardware applications, and privacy-preserving systems. Recent work includes Wink: Deniable Secure Messaging (2023) and A Study of China's Censorship Evasion (2023), both exploring plausibly deniable communication. Earlier contributions like PEARL (2021) and ConcurDB (2014) address secure storage and database integrity. His 2024 paper INVISILINE introduces invisible plausibly deniable storage solutions. His research spans Oblivious RAM , History-Independent Data Structures , Trusted Execution Environments , and Flash Memory Security . Key collaboration networks include Bogdan Carbunar, Anrin Chakraborti, and Chen Chen.

R. Iris BaharView profile

Professor

• Computer Architecture
• Low Power Design
• Machine Learning
• +5 more

R. Iris Bahar is a Professor of Computer Science and Engineering at Colorado School of Mines, where she serves as Department Head of Computer Science since 2022. Previously, she held dual appointments as Professor of Engineering and Computer Science at Brown University for 26 years. Her research focuses on energy-efficient and reliable computing across system-level to device-level domains, with applications in near-data processing, robust machine learning for robotics, and noise-immune nanoscale circuit design. Research Interests include computer architecture, low-power design, and robotic system optimization. She pioneers hybrid generative-discriminative inference techniques for robot scene perception, achieving 40% accuracy improvements in occluded environments through FPGA-based Monte-Carlo sampling implementations. Her work on subthreshold CMOS noise modeling provides 1000x simulation speedups over SPICE-based methods. Near-Data Processing Architectures Approximate Computing Hardware/Software Co-design Nanoscale Noise Modeling Robust AI for Robotics Scientific Awards include the 2024 IEEE Undergraduate Teaching Award, 2019 Marie R. Pistilli Women in Engineering Achievement Award, and NSF CAREER award. She is an IEEE Fellow and ACM Distinguished Scientist. Funded Research spans NSF grants on thermal noise effects ($360k), durable data structures ($500k), and Brown SEED grants for autonomous robotics. Her lab trains 12+ students in hardware acceleration and probabilistic computing.

Wagner Ourique De MoraisView profile

Lecturer

• Ambient Assisted Living (AAL)
• Smart Home Systems
• Healthcare Technology
• +3 more

Wagner Ourique De Morais is a Lecturer at the Academy of Information Technology , Halmstad University, with a focus on Smart Home Systems and Healthcare Technology for elderly populations. Doctoral Thesis : Architecting Smart Home Environments for Healthcare: A Database-Centric Approach (2015) Key Research Areas : Ambient Assisted Living (AAL), Graph Neural Networks for Clinical Prediction, IoT-Edge-Cloud Offloading, and Wearable Health Monitors His work spans 15+ years , including publications on Zero-Day Attack Detection in Vehicular Networks (2025), Graph Neural Networks for Clinical Risk Prediction (2024), and Smart Medication Organizers (2017). Research trends emphasize sensor integration , context-aware computing , and security in smart environments . He contributes to projects like the "Safe at Night" initiative and has developed middleware for heterogeneous sensor networks (2008). Current teaching and research at Halmstad University prioritize technology-enabled elderly care and cyber-physical system design .

• 3D printing
• Materials science
• Electromagnetic compatibility testing
• +6 more

Pererik Andreasson is a Lecturer at the Academy of Information Technology , Halmstad University. His research focuses on 3D printing, materials science, electromagnetic compatibility testing, and wireless communication. Key contributions include optimizing 3D-printed radar lenses, advancing phase-change material characterization via femtosecond x-ray diffraction, pioneering augmented reality methods for electromagnetic field visualization, and developing substrate integrated waveguide antennas for IoT devices. 3D printing of optical components Dynamic processes in phase-change materials Augmented reality for electromagnetic testing IoT antenna design His recent work on frequency-adjustable SIW antennas (2024) and AR-based EMC visualization (2021) demonstrates cross-disciplinary innovation. While no scientific awards are documented, his 15+ publications since 2007 highlight sustained expertise in material science and wireless technologies.

Scott H. SeidmanView profile

Associate Professor

• Vestibular Systems
• Motor Learning
• Physiological Modeling
• +4 more

Associate Professor Scott H. Seidman has been a faculty member in the Biomedical Engineering Department at the University of Rochester since 2000. His dual expertise bridges vestibular physiology research and medical device innovation, with significant contributions to both academic instruction and translational engineering. Education BS from Johns Hopkins University MS and PhD from Case Western Reserve University Research Interests : Dr. Seidman investigates how the vestibular system resolves ambiguity between gravitational tilt and linear acceleration, focusing on vestibulo-ocular reflex mechanisms and adaptive control of eye movements . His applied work emphasizes bioinstrumentation for neonatal monitoring and assistive technology development , particularly creating accessible interfaces for individuals with high spinal cord injuries through embedded systems engineering. Grants and Projects Co-director of the NIDCD-funded Technology Core within the Center for Navigation and Communication Sciences Recipient of University of Rochester Technology Development Fund for neonatal monitoring device commercialization Director of National Collegiate Inventors and Innovators Alliance grant for international health innovation with Pontificia Universidad Católica del Perú Teaching and Service : He designed the core Quantitative Physiology course and co-teaches the Senior Design sequence, while serving as faculty advisor for Engineers Without Borders. His patent work demonstrates direct translation of student projects into marketable medical technology. Laboratory Affiliations : As Technology Core co-director, he facilitates cross-institutional dissemination of engineering solutions for communication disorders research, collaborating with clinical partners including UR Neonatologists.

Nuran DoğruView profile

Professor

• Electrical and Electronics Engineering
• Optics
• Photonics
• +2 more

Nuran Doğru is a Professor at Gaziantep University , affiliated with the Faculty of Engineering and the Department of Electrical and Electronics Engineering. Her research focuses on quantum dot lasers, optoelectronics, and photonics, with a particular emphasis on intensity noise analysis and short pulse generation. PhD in Electronics (Gaziantep University, 2003) MSc in Electronics (Gaziantep University, 1997) BSc in Electrical Engineering (Gaziantep University, 1994) Her research interests span quantum dot lasers , mode-locked laser dynamics , photonic devices , and noise reduction techniques . Recent work explores gain-switched laser modeling using multi-population rate equations and biomedical applications like remote blood pressure monitoring via photoplethysmography. The 15 most recent publications highlight advancements in quantum dot laser noise control, pulse generation, and biomedical device design. Key venues include Nanomaterials , IEEE Transactions on Electron Devices , and Optics and Laser Technology . She has supervised numerous graduate theses and led a TUBITAK-funded project on gain-switched quantum dot laser noise. Her international experience includes academic visits at York University (2014-2015) and a postdoctoral position at Essex University (2007).

Damien CoyleView profile

Professor

• Computational Intelligence
• Artificial Intelligence
• Bio-signal Processing
• +4 more

Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .

Kevin CurranView profile

Professor

• Cyber Security
• Computer Security
• Internet Security
• +6 more

Kevin Curran is a Professor of Cyber Security at Ulster University, serving as Executive Co-Director of the Legal Innovation Centre and group leader for the Cybersecurity & Web technologies Research Group. He joined the School of Computing and Intelligent Systems in 1999 and has established himself as a leading expert in cyber security with over 800 published works. His academic home is within the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. Professor Curran's research interests span multiple domains within cyber security, with particular expertise in location positioning within indoor environments, Internet security, and the intersection of legal technology with cybersecurity. His recent work demonstrates a strategic expansion into AI-driven security solutions, blockchain applications, and IoT security frameworks. His research shows a clear evolution from foundational networking research to contemporary applications addressing legal technology challenges and emerging security threats in connected environments. His scholarly output reveals significant trends toward interdisciplinary research, particularly at the intersection of cyber security and legal technology. Recent publications focus on applying machine learning and AI techniques to legal document classification, blockchain security for autonomous vehicles, and generative AI applications in cyber defense. His work consistently addresses practical security challenges while maintaining strong theoretical foundations. Engineering and Technology Board Visiting Lectureship for Exceptional Engineers IEEE Technical Expert for Internet/Security matters since 2008 Member of the EPSRC Peer Review College Recipient of various patents in security technologies Founding Editor in Chief of the International Journal of Ambient Computing and Intelligence Professor Curran has successfully secured and managed numerous UK and European Framework projects and Technology Transfer Schemes throughout his career. He serves as Co-Investigator on several major research projects including the Baker McKenzie Research Project (2017-2026), LFR: Legal Futures Research (2016-2026), and the Ulster Centre for Legal Innovation (2016-2026). His research group actively collaborates with industry partners and legal professionals to address real-world cybersecurity challenges. The Cybersecurity & Web technologies Research Group under his leadership focuses on practical security solutions while maintaining strong theoretical foundations. As Executive Co-Director of the Legal Innovation Centre, Professor Curran bridges the gap between legal practice and technological innovation, particularly in the realm of cybersecurity applications for legal services. His team works on developing secure platforms for legal document processing, blockchain applications for contract management, and AI-driven tools for legal professionals while maintaining rigorous security standards.

Kotronis ChristosView profile

Assistant Professor

• Model-Centered Systems Design
• Systems Simulation
• Quality of Service Awareness
• +3 more

Kotronis Christos serves as an Assistant Professor in the Department of Informatics and Telematics at Harokopio University, Athens, with his office located at Omirou 9, Tavros (17778). His academic career is deeply rooted at this institution where he completed all his formal education. His educational qualifications include: Undergraduate Degree in Informatics and Telematics (2014) Postgraduate Diploma in Informatics and Telematics, Major: "Computer and Internet Technologies and Applications" (2016) PhD in Informatics and Telematics, Dissertation: "Model-Centric Design of Systems with Awareness of the Provided Quality of Service Based on the Systems Modeling Language (SysML)" (2021) His research focuses on model-centered systems design with strong emphasis on quality of service awareness, systems simulation, and human-centric requirements analysis. He bridges theoretical model-based engineering with practical applications in cyber-physical systems and Internet of Medical Things (IoMT), particularly addressing human concerns in healthcare monitoring and transportation systems. His methodologies heavily utilize SysML extensions for integrating non-functional requirements like cost and human factors. Analysis of his 15 most recent publications (2018-2025) reveals a cohesive research trajectory centered on model-based systems engineering with three dominant themes: (1) Human integration in cyber-physical systems design through multi-view approaches, (2) Quality of service and cost optimization in SysML frameworks, and (3) Real-world implementations in healthcare (ECG monitoring, fall detection) and transportation (railway passenger comfort). His work consistently demonstrates progression from foundational modeling to edge-computing implementations. Scientific Awards: No scientific awards mentioned in source materials Regarding academic supervision, the source materials do not specify current advisees though his PhD research and publications suggest involvement in graduate mentoring. His departmental role includes teaching undergraduate courses in Informatics and Telematics. While no specific research grants are documented, his publication pattern indicates participation in collaborative projects focused on cyber-physical systems and healthcare technology. The absence of explicit lab/team information suggests his work may be conducted within broader departmental frameworks rather than dedicated laboratories.

Gernot HeiserView profile

Professor

• Operating Systems
• Microkernels
• Cybersecurity
• +8 more

Scientia Professor Gernot Heiser is a leading researcher in trustworthy computing systems at the University of New South Wales, where he holds the John Lions Chair of Operating Systems. He is the founder and leader of the Trustworthy Systems Research Group, recognized globally for applying formal methods to ensure security and safety of real-world computing systems. His work spans operating systems, cybersecurity, and dependable systems. Professor Heiser completed his academic qualifications with a BSc in Physics from Freiburg in 1982, an MSc in Physics from Brock in 1984, and a PhD in Computer Engineering from ETH Zurich in 1991. He has been an academic at UNSW since completing his PhD and became a full professor in 2002. He was awarded the title of Scientia Professor in 2011, UNSW's highest academic honor. His research focuses on fundamental solutions to cybersecurity challenges through trustworthy systems. Key areas include microkernels and microkernel-based systems, highly-secure and dependable systems, high-assurance systems, analysis and prevention of cyber threats, real-time systems, virtualization, embedded and cyberphysical systems, and architectural support for operating systems. Professor Heiser's work has resulted in practical applications, most notably the seL4 microkernel, which is the world's first operating-system kernel with a proof of implementation correctness and security enforcement. Notable awards include: Fellow, Engineers Australia (2022) Member of the German Academy of Sciences Leopoldina (2022) ACM Software System Award (2022) ACM SIGOPS Hall of Fame Award (2019) Fellow of the IEEE (2016) Fellow of the ACM (2014) Professor Heiser actively supervises honours, MPhil, and PhD students in his research areas, with projects typically requiring strong backgrounds in operating-system internals or formal methods. He has co-founded Open Kernel Labs in 2006, leading to the L4-embedded microkernel being deployed on billions of mobile devices, including the secure enclave of iOS devices. His research group, the Trustworthy Systems group, was created in 2003 at NICTA and has been wholly at UNSW since 2021.

• Embedded Systems
• Instrumentation Systems
• Microelectromechanical Systems (MEMS)
• +4 more

Dr. Jorge Miguel Nunes Santos Cabral is an Associate Professor at the School of Engineering, University of Minho, Portugal. He serves as Senior Researcher with PhD at the ALGORITMI Research Centre and CEiiA (Centre of Engineering and Product Development), leading industrial and European projects in Wireless Sensor Networks, Embedded Applications, and Automotive Technology. Expertise: Embedded Systems, Instrumentation, MEMS, IoT, Cyber-Physical Systems Leadership: Deputy Director of ALGORITMI (2015–2020), Board of Directors of CEiiA (2020–) Research Trends: Focus on optimizing resource-scarce embedded systems through machine learning, fault injection frameworks, and ultrasonic haptics. Publications emphasize automotive LiDAR, MEMS sensors, and IoT architectures. Collaborations: Active in European projects, industrial partnerships, and academic-industry knowledge transfer initiatives.

Adam BatesView profile

Associate Professor

• Data Provenance
• Cybersecurity
• Computer Systems
• +7 more

Adam Bates is an Associate Professor at the University of Illinois at Urbana-Champaign, with affiliations in the Department of Computer Science and the Electrical & Computer Engineering Department. His research focuses on data provenance, cybersecurity, and secure system design. He received his PhD from the University of Florida under Professor Kevin Butler, collaborating with the Florida Institute for Cybersecurity Research. His work addresses security challenges in SSL/TLS, cloud computing, USB attack vectors, and telephony infrastructure, with notable contributions to provenance-aware systems. Education: PhD in Computer Science (University of Florida, advised by Kevin Butler) Research Interests: Secure data provenance systems Endpoint detection and response Privacy in smart homes and IoT Serverless computing security USB and cloud security Scientific Awards: NSF CISE Research Initiation Initiative (CRII) Award (2017) NSF CAREER Award (2018) Labs & Teams: Principal Investigator at the STS Lab