Dr. Zhu Han is the John and Rebecca Moores Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. His research focuses on game theory, wireless networking, security, data analysis, and smart grid applications. He holds doctoral and master's degrees from the University of Maryland and a bachelor's from Tsinghua University. Research interests span: Next-generation wireless systems (6G/7G) AI/ML integration in communications Reconfigurable intelligent surfaces Quantum machine learning applications Secure and efficient network architectures His recent publications demonstrate strong focus on generative AI integration in wireless systems, quantum networking, semantic communications, and security frameworks for future networks. Awards and honors include: IEEE/ACM/AAAS Fellow status IEEE Kiyo Tomiyasu Award (2021) Highly Cited Researcher since 2017 IEEE Distinguished Lecturer (2015-2018) Dr. Han leads research in wireless communications and networking, with extensive industry collaboration. His lab focuses on developing theoretical foundations and practical implementations for next-generation communication systems.
Pierre Mégevand is a Professor and group leader at the Faculty of Medicine, University of Geneva, where he leads the Human Neuron Lab. His research is centered on understanding the neural mechanisms underlying human cognition and epilepsy, using intracranial recordings from awake patients. He is actively involved in both clinical and basic neuroscience research, with a focus on speech, language, and seizure dynamics. His research interests span cognitive neuroscience, clinical neurophysiology, and neuroengineering. He investigates how neurons encode sensory stimuli and behavioral responses, particularly in the context of speech and language. His lab uses stereo-EEG and microelectrode recordings to identify seizure-specific neural patterns and develop patient-tailored biomarkers for seizure detection and prediction. Key areas include multisensory integration, functional brain networks in epilepsy, and neural decoding of imagined speech. His recent publications reflect a strong trend in human intracranial electrophysiology, with studies on audiovisual illusions, electrode localization tools, functional networks in epilepsy, and neural correlates of speech and emotion. His work combines clinical data with advanced computational methods to uncover the dynamics of human brain function. Among his scientific contributions are methodological advancements and clinical insights in epilepsy monitoring and treatment. Though no specific awards are listed, his publications in top journals like Nature Communications and Epilepsia indicate high recognition in the field. Mégevand advises graduate students and postdoctoral researchers, including Lora Fanda and Jonathan Monney. His lab collaborates on grants related to neurotechnology, brain-computer interfaces, and epilepsy research, though specific grant details are not provided. He is part of a multidisciplinary team at the University of Geneva that includes engineers, neurologists, and neurosurgeons. The Human Neuron Lab, based at the Centre Médical Universitaire (CMU), is equipped for advanced human electrophysiology studies. The team includes a master assistant, graduate students, and postdoctoral researchers, reflecting an active and collaborative research environment focused on translational neuroscience.
Lucia Seminara serves as an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa's Polytechnic School. She teaches Electronic Devices, Sensors, and Sensing Systems for Master's programs in Electronic Engineering and Engineering for Natural Risk Management, while also contributing to Philosophy of Medicine for Philosophical Methodologies. As a member of the Joint Teacher-Student Commission, she bridges academic governance with pedagogical innovation in engineering education. Her research pioneers tactile sensing systems using piezoelectric polymers (PVDF) and electronic skin for robotics and prosthetics. She investigates indentation mechanics on soft electronic skin, grasping speed sensitivity, and hierarchical sensorimotor control frameworks for human-in-the-loop robotic hands. Key innovations include machine learning-based contact force estimation and electrotactile feedback systems that restore natural touch perception in prosthetic devices, addressing critical gaps in sensory substitution technology. Analysis of her 2021-2025 publications reveals escalating integration of machine learning with tactile sensing, particularly in symmetry detection for efficient haptic exploration and transdisciplinary human-in-the-loop applications. Recent work emphasizes real-world implementations like post-stroke rehabilitation systems and high-bandwidth human-machine interfaces, demonstrating a strategic shift from foundational sensor development toward clinically viable solutions with measurable user impact. Dr. Seminara's research lineage includes significant contributions to the Roboskin project (2013), which established large-area tactile sensor arrays for robotics. Her current work extends this foundation through investigations into viscoelastic properties, stress transmission modeling, and AI-driven tactile perception, positioning her at the forefront of intelligent electronic skin development with active collaborations across engineering, neuroscience, and clinical rehabilitation domains.
Cristina Stângaciu is a Lecturer at the Department of Computer and Information Technology, Politehnica University of Timisoara. Her research focuses on embedded systems, real-time systems, IoT, and energy-efficient computing. She has contributed to mixed criticality task scheduling and wireless sensor networks. PhD in Real-Time Systems (2015) Scientific Secretary of Department Involvement in projects: Bright Cityscapes - Synthia, CloudPUTing, TEEFIOS Her research interests span real-time task scheduling, embedded operating systems, and smart sensing systems. Recent work explores IoT security and multicore scheduling techniques. Key article trends include real-time scheduling frameworks, IoT protocol optimization, and energy-efficient embedded systems. Topics like lightweight cryptography and CAN FD improvements are prominent in her 2024-2025 publications. Merit Diplomas (2021, 2022) Merit Awards 2025 As advisor to PhD students, she contributes to advancements in real-time systems through grants and collaborative projects like SCMUPT 2025. Her work integrates practical and theoretical aspects of sensor networks and cloud platforms.
Ron Mangun is a Professor of Psychology and Neurology at the University of California, Davis, and co-director of the Center for Mind and Brain . His work bridges cognitive neuroscience, attentional mechanisms, and the interplay between free will and neural processes. Mangun has significantly shaped neuroscience education through his co-authored textbook, Cognitive Neuroscience: The Biology of the Mind , which has sold over 150,000 copies across five editions. 2024 Award for Education in Neuroscience Fulbright US Distinguished Scholar (2024-2025) Mangun's research focuses on visual attention , neural oscillations , and predictive cognitive processes , often integrating EEG-fMRI for high-resolution neural mapping. His recent work explores alpha oscillations, rhythmic environmental sampling, and the ventral attention network's role in reorienting attention. His scientific awards include: 2024 Award for Education in Neuroscience Fulbright US Distinguished Scholar (2024-2025) Mangun has mentored numerous trainees globally through the Summer Institute in Cognitive Neuroscience , a program funded by NIMH, NIDA, and the Kavli Foundation. His research is supported by the National Science Foundation , focusing on attention and free will.
Timo Hämäläinen is a Professor of Computer Engineering at Tampere University, leading the Unit of Computing Sciences within the Faculty of Information Technology and Communication Sciences. He is a core member of the System-on-Chip research group and the Computer Engineering Team, actively contributing to the System-on-Chip Hub initiative. His research focuses on System-on-Chip (SoC) design methodologies, FPGA-based high-level synthesis, real-time embedded systems, and open-source hardware-software co-design frameworks like RISC-V and HEVC encoding. He has pioneered work on agile SoC development processes and validation techniques for large-scale hardware systems. Key research areas include: High-level synthesis (HLS) optimization for FPGAs Real-time processor architectures and context-switching latency reduction Formal verification of IP-XACT-compliant SoC designs Resilient RISC-V MPSoC implementations Hardware-accelerated algorithms for signal processing and networking His recent publications (2023-2025) emphasize agile SoC development frameworks, hardware-software co-design for real-time systems, and validation methodologies for large-scale embedded systems. He has contributed to open-source projects like Kvazaar HEVC encoder and the Kactus2 IP-XACT toolchain. Academic advising includes students such as Santéri Mäki-Äijö (formal verification), Arto Oinonen (RISC-V tooling), and Sakari Lahti (processor modeling). His work integrates academic research with industrial collaboration through frameworks like the Fault-slip-Through quality assessment methodology.
Abidemi Bolu Ajiboye, PhD, is the Robert & Brenda Aiken Professor of Biomedical Engineering at Case Western Reserve University's Case School of Engineering. He holds key administrative roles including Faculty Director of Postdoctoral Affairs, Associate Chair, and Executive Vice Chair of the Case School of Engineering. His research focuses on developing brain-computer interface (BCI) technologies to restore motor function in individuals with spinal cord injuries and stroke. Notable projects include the ReHAB initiative, aiming to reconnect paralyzed limbs to the brain through bidirectional neuroprostheses. Education: PhD Biomedical Engineering (Northwestern University, 2008), MS Biomedical Engineering (Northwestern, 2003), BS Biomedical & Electrical Engineering (Duke University, 2000) Research interests span neural control mechanisms, FES-based systems, and clinical translation of BCI technologies. He has pioneered closed-loop systems for natural movement restoration and received VA Career Development Awards. His work integrates neuroscience with engineering to address complex rehabilitation challenges. Publications emphasize BCI system design, neural signal processing, and clinical applications. Recent efforts focus on tactile feedback restoration and addressing biocompatibility challenges in neural implants. He advises on postdoctoral training programs and contributes to interdisciplinary neural engineering initiatives through the Cleveland Neural Engineering Workshop.
Dr. Thomas Ferris is an Associate Professor in Industrial & Systems Engineering at Texas A&M University, with an affiliation in Environmental & Occupational Health. He holds a Ph.D. in Industrial & Operations Engineering (Cognitive Ergonomics) from the University of Michigan (2010). His research focuses on human factors in complex systems, emphasizing tactile display design, cognitive workload management, and human-automation interaction. Key areas include driver distraction mitigation, medical anesthesiology support systems, and aviation weather alerting technologies. Education: Ph.D., Industrial & Operations Engineering (Cognitive Ergonomics), University of Michigan, 2010 Bachelor's Degree (Engineering Valedictorian), University of Iowa, 2003 Research Interests: Human factors in aviation and automotive systems Design of tactile and multimodal interfaces Cognitive efficiency in multitasking environments Psychophysiological workload assessment Emergency response system human factors Recent work emphasizes developing vibrotactile warning systems for construction operators, fatigue detection in aviation, and collaborative robot productivity analysis. His lab (Human Factors & Cognitive Systems) explores VR applications in remote physical examination and cybersickness mitigation strategies. Awards include the NSF Graduate Research Fellowship (2005-2008) and World Haptics Best Paper (2009). He has advised over 30 graduate students and published widely in Human Factors, IEEE Transactions, and Aviation safety journals.
Jace B. King is an Assistant Professor in the Department of Radiology & Imaging Sciences at the University of Utah School of Medicine . He holds multiple graduate degrees including a Ph.D. in Neuroscience , an M.B.A. from the David Eccles School of Business , and a B.S. in Psychology from the University of Utah. Ph.D. in Neuroscience - University of Utah School of Medicine M.B.A. - University of Utah David Eccles School of Business B.S. in Psychology - University of Utah Dr. King's research focuses on neuroimaging and brain connectivity across various conditions including Alzheimer's disease , autism spectrum disorder , and pediatric bipolar disorder . His work explores functional connectivity patterns , neuroanatomical differences , and biomarker correlations using advanced imaging techniques. Analysis of his publications reveals consistent work in Alzheimer's disease progression through motor task analysis and biomarker prediction (2021-2025), autism neuroconnectivity studies with longitudinal brain network assessments (2016-2024), and neurodevelopmental disorder research focusing on bipolar disorder and ADHD (2015-2023). His methodological approach combines fMRI , structural MRI , and electrophysiological analysis . Dr. King leads the Brain Network Lab , which conducts reproducibility studies for neuroimaging software and investigates functional connectivity patterns across multiple neurological conditions.
Dr. Xiao Su is Associate Dean for Graduate Studies and Research at the Charles W. Davidson College of Engineering, San José State University, and a faculty member in the Computer Engineering Department. She joined SJSU in Fall 2002 after working at Inktomi Corporation. Dr. Su holds a Ph.D. from the University of Illinois, Urbana-Champaign (2001) and teaches courses in networking and security. Her research spans computer networking, multimedia communications, network security, and cloud computing. She has secured over $2.5M in research funding from NSF, NASA, Intel, and HP. Major grants include a $400K NSF CAREER Award (2006-2012) for multimedia streaming research and a $1.5M NASA grant for airport traffic optimization. Publications show strong focus on cloud-based media distribution, peer-to-peer networks, and security systems. Recent work emphasizes cloud storage optimization, mobile computing applications, and secure video transmission. Her 50+ publications demonstrate consistent innovation in distributed systems design and multimedia networking. Applied Materials Faculty Award for Excellence in Teaching (2012) College of Engineering Faculty Award for Excellence in Scholarship (2010) National Science Foundation CAREER Award (2006) As principal investigator, she has led 8+ major grants establishing research infrastructure and curriculum enhancements. She serves on NetApp's Academic Alliance advisory board and maintains active industry collaborations in Silicon Valley. A senior member of IEEE and ACM, Dr. Su has chaired technical committees for IEEE ICME and other international conferences.
Elena Blokhina is an Associate Professor at the School of Electrical and Electronic Engineering, University College Dublin. She holds a Habilitation à Diriger des Recherches (HDR) from UPMC Sorbonne Universités, a PhD in physical and mathematical sciences, and an MSc with highest honors in physics from Saratov State University. Her research focuses on quantum computing, semiconductor quantum devices, and cryogenic electronics for quantum systems. Research Focus : Quantum computing architectures, semiconductor qubit design, and cryogenic integrated circuits Awards : IEEE Senior Member (2013), SFI Funded Investigator (2018), Ulysses Award (2013) Professional Roles : Visiting Professor at Sorbonne University (2014, 2017, 2021), Deputy Editor-in-Chief of IEEE Transactions on Circuits and Systems I (2018-2021) Her publications span quantum dot integration, cryogenic CMOS design, and topological qubit encoding strategies. She leads the Circuits and Systems Research Group at UCD and co-organizes international quantum computing workshops.
Emmanuel Dupoux is a Professor at École des Hautes Études en Sciences Sociales (EHESS), affiliated with the School of Advanced Studies in Social Sciences and the Laboratory of Cognitive Science and Psycholinguistics (LSCP). His work bridges cognitive science, computational linguistics, and machine learning to study infant language acquisition and social cognition. Co-creator and director of EHESS Cognitive Science Master program Former LSCP laboratory director (1998-2009) Current research focuses on textless speech modeling and ecological audio analysis Research areas include: Modeling early language acquisition mechanisms using Bayesian models and HMM Investigating phonological 'deafness' and critical age plasticity Studying social cognition development through infant-toddler experiments His technical contributions span speech processing toolkits like Shennong, emergent communication frameworks (STOP dataset), and innovative approaches to self-supervised speech modeling. Recent publications demonstrate breakthroughs in: Topography-inspired CNN designs for better memory efficiency Prosody-aware generative spoken language models (pGSLM) Textless emotion conversion systems He actively explores how machine learning can reverse-engineer infant language learning processes from ecological audio data, with applications in neurodegenerative disease diagnostics. Key collaborations include: INRIA's Cognitive Machine Learning (CoML) team Facebook AI Research (FAIR) partnerships VoxPopuli multilingual speech corpus development
Adam Tindale is an Associate Professor of Human-Computer Interaction at OCAD University’s Faculty of Arts & Science, specializing in electronic musical instruments and innovative interaction design. He is renowned for his work on the E-Drumset, an instrument combining physical modeling, machine learning, and intuitive interfaces. His research bridges music technology, wearable systems, and immersive environments, emphasizing cross-disciplinary collaboration. Education: B.Mus. (Queen's University), M.M. in Music Technology (McGill University), Ph.D. in Interdisciplinary Studies (University of Victoria, focusing on Music, Computer Science, and Electrical Engineering). Research interests include: Design of digital musical instruments Wearable technology for performance VR audio interfaces Gesture-based interaction systems His recent work explores: Generative art through GANs (e.g., calligraphic Arabic scripts) Anisochronous rhythmic interfaces 3D-printed information embedding Key contributions include the JunctionBox toolkit for sound interfaces and frameworks like Flocking for web-based music.
Louis Cuccia is a Professor in the Department of Chemistry and Biochemistry at Concordia University, serving as Graduate Program Director. He holds a PhD from McGill University and teaches courses including Introductory Organic Chemistry I (Chem-221) and Advanced Organic Chemistry IV - Structure & Stereochemistry (Chem-325), with plans to introduce a new course on Supramolecular Materials exploring biological hierarchical structures as inspiration for advanced materials. Education: PhD in Chemistry, McGill University His research focuses on chiral crystals, mirror symmetry breaking, chiral amplification, and supramolecular chemistry. His work spans mechanochemical synthesis of organic compounds, chiral crystallization mechanisms, triboelectric nanogenerators, and biomimetic materials. Recent publications highlight innovations in solvent-free reactions, chiral induction, and applications of supramolecular principles to nanotechnology and energy devices. The 15 most recent articles (2019–2025) demonstrate expertise in mechanochemistry, supramolecular assembly, and chiral materials. Key themes include triboelectric energy harvesting, chiral amplification through grinding/abrasion, and design of bioinspired materials. Collaborative work extends to pedagogical tools for nanogenerator education and fundamental studies of molecular interactions at interfaces. Professional activities include leading the Cuccia Research Group , though specific scientific awards or grants are not detailed in available information. His teaching integrates current literature on bioinspired materials, polymer science, and nanomechanics.
Fulvio Horn is a Full Professor in the Department of Control and Computer Science at the Polytechnic University of Turin, where he serves as Vice-Rector for Education. He holds multiple leadership positions including Coordinator of the Student Contribution and Planning Commission, Coordinator of the Investigative Committee for Teaching Coordination, and member of both the Board of Directors and Academic Senate. He also contributes to the Interdepartmental Center for Service Robotics and the Master's and Continuing Education School. His research spans Ambient Intelligence, Human-Computer Interaction, and Internet of Things, with specific focus on end-user development for smart environments, IoT security, and accessible technology design. He leads the e-Lite research group that develops innovative technologies at the intersection of Human-Computer Interaction, Ubiquitous Computing, and Artificial Intelligence. His ERC sectors include artificial intelligence systems, computer systems, human-computer interaction, and web information systems. Recent publications reveal a strong emphasis on IoT security challenges, end-user programming tools, and visualization techniques. His work addresses critical gaps in smart home security, novice developer experiences, and accessibility. Key contributions include TextCode for programming support, security frameworks for IoT gateways, and conversational interfaces for rule creation. Much of this research involves close collaboration with Luigi De Russis and other colleagues. Professor Horn has served as Editor-in-Chief of the Journal of Reliable Intelligent Environments (2015-2021) and as Director of IT Professional magazine since 2012. He has secured significant funding through EU programs, regional initiatives, and commercial contracts for projects including RESCHIP4EU, AccessCoVE, and EMPATHY. He actively mentors PhD students including Tommaso Calo' (working on AI realization algorithms) and Luca Mannella (focusing on IoT security). His teaching portfolio includes Web Applications, Human-Computer Interaction, and Programming Techniques across multiple engineering programs. He coordinates doctoral colleges in Computer and Systems Engineering at both Turin and Palermo universities. As leader of the ELITE research group (Intelligent and Interactive Systems) in LAB 10, Professor Horn's team develops practical solutions that bridge human needs and technology through intelligent software components. Current projects address sustainability, accessibility, and educational technology, with strong emphasis on open-source development and real-world implementation.
