Find Academic Supervisors

Daniel W. BlissView profile

Professor

• Radar
• Wireless Communications
• Precision Positioning
• +7 more

Daniel W. Bliss is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University and Director of ASU's Center for Wireless Information Systems and Computational Architectures (WISCA). With over $50 million in research funding as principal investigator from organizations including DARPA, ONR, Google, and Airbus, his work bridges theoretical foundations with practical implementations across multiple domains of wireless systems. Dr. Bliss received his educational foundation with a B.S.E.E. from Arizona State University (1989), followed by M.S. and Ph.D. degrees in Physics from the University of California-San Diego (1995, 1997). His academic journey includes significant industry experience at General Dynamics (1989-1993) and MIT Lincoln Laboratory (1997-2012) before joining ASU. His research program focuses on advanced wireless systems spanning radar, communications, precision positioning, computational architectures, and medical monitoring applications. Bliss employs information theory, estimation theory, and signal processing to develop novel system concepts with disruptive capabilities. Current research emphasizes RF convergence, integrated sensing and communications, and anticipatory medical analytics using wireless technologies, with particular focus on extracting physiological data from radar signals. Analysis of recent publications reveals a strong trend toward integrated sensing and communications systems, particularly utilizing mmWave and radar technologies for medical monitoring applications. His work increasingly bridges traditional communications and radar domains while expanding into physiological monitoring, demonstrating a clear trajectory toward convergence of wireless technologies for healthcare applications and remote vital sign detection. Dr. Bliss has received significant recognition for his contributions: Fellow of the IEEE (2015) 2021 IEEE Warren D. White Award for Excellence in Radar Engineering 2016-2017 Top 5% Teaching Award at ASU 2017 ASU Fulton Engineering Exemplar Faculty As a dedicated mentor, Dr. Bliss has supervised numerous graduate students through successful dissertation and thesis defenses across both PhD and Master's programs. His research portfolio includes substantial funding from diverse sources with over $50 million secured as principal investigator. Current projects include the $17M DARPA DASH project focused on advanced software-reconfigurable heterogeneous SoCs for next-generation RF systems, and multiple initiatives in contactless vital sign monitoring using radar technologies. Dr. Bliss leads the BLISS Lab and serves as director of WISCA, fostering interdisciplinary research in wireless systems. His team includes researchers working on distributed coherent systems, MIMO radar, RF convergence, and medical monitoring applications, with recent successes including the Making Waves team that tied for first place in the Air Force Spark Tank challenge. He has founded two startup companies: DASH Tech Integrated Circuits Company and the Big Little Sensor Company, focusing on high-performance embedded processing and small-scale radar physiological monitoring, respectively.

Scott KerlinView profile

Senior Lecturer

• Computer Science Education
• 3D Printing and Scanning
• Cybersecurity
• +3 more

Scott Kerlin is a Senior Lecturer in the Department of Electrical Engineering and Computer Science at Oregon State University's College of Engineering. He holds an M.S. and B.S. in Computer Science from the University of North Dakota. Prior to academia, he worked at the Mayo Clinic on medical software systems and IBM as a build master for enterprise products. His career spans roles including network administrator, lab manager, and Undergraduate Director at UND. Dr. Kerlin's research focuses on bridging industry experience with academic curriculum, particularly in computer science education, project-based learning, and cybersecurity. He emphasizes practical applications of theoretical concepts, such as integrating 3D printing and scanning technologies with security systems for small satellites. His work also explores student efficacy in AI courses and scalable software project management methodologies. He has taught at multiple institutions, including the University of Minnesota and Augsburg University, and held roles at Michigan Tech as Senior Security Engineer. His 2024 Engineering+ Outstanding Teaching Award highlights his commitment to pedagogical innovation. Current projects include in-space 3D printing, solar energy systems, and cryptographic solutions for satellite communications. Key areas of contribution include: 3D printing/Scanning: Material characterization, key replication, and aerospace applications Cybersecurity: Intrusion detection, satellite communications security, and chaotic cryptosystems Educational Innovation: Active learning frameworks, PBL implementation, and student performance modeling His interdisciplinary approach connects computer science fundamentals with real-world engineering challenges, emphasizing sustainability and industry relevance in curricula.

Vahid JamaliView profile

Assistant Professor

• Resilient Communications
• Wireless Communications
• 6G Networks
• +4 more

Prof. Vahid Jamali is an Assistant Professor and Head of the Resilient Communication Systems Group at the Technical University of Darmstadt, Germany. His research focuses on resilient communications, 6G wireless systems, bio-inspired molecular communication, and reconfigurable intelligent surfaces (RIS). He holds a Doctoral Degree from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, and has served as a postdoctoral researcher at Princeton University and FAU. Education PhD in Communication Systems, FAU (2019) Visiting Researcher at Stanford University (2017) Research Assistant at FAU's Institute for Digital Communications (2013-2019) Research Interests Resilient Networks : Emergency networks, RIS-based systems, and resilience-by-design architectures. Wireless Innovations : 6G technologies, holographic MIMO, and joint communication-sensing systems. Bio-inspired Systems : Molecular communication modeling using biological principles like diffusion and chemical reactions. Recent Work Trends His 2024-2025 publications emphasize RIS optimization (e.g., temperature-aware phase shifts, fast beam switching) and molecular communication (e.g., Poisson channel identification, bio-inspired receiver designs). Emerging themes include AoI-based RIS reconfiguration and integrated sensing-communication-powering (ISCAP) for IoT. Lab Activities He leads the Resilient Communication Systems Group, exploring cutting-edge RIS hardware (e.g., liquid crystal implementations) and theoretical foundations for future wireless systems.

Md. Zoheb HassanView profile

Assistant Professor

• Spectrum sharing and management
• Wireless communication systems
• Communications and network control and regulation systems
• +1 more

Md. Zoheb Hassan serves as an Assistant Professor in the Department of Electrical Engineering and Computer Engineering at Laval University, where he leads cutting-edge research in wireless communications and spectrum management. His academic role includes graduate recruitment and active participation in the university's research ecosystem, particularly through the Establishment of the Next Generation of Professors program funded by FRQNT. Dr. Hassan's research centers on spectrum sharing and management, wireless communication systems, and communications network control systems. He pioneers the integration of digital twin technology and machine learning to solve critical challenges in next-generation networks, including interference management in 5G/6G aerial corridors, Internet of Vehicles, and satellite-terrestrial integration. His work emphasizes practical implementations such as proof-of-concept demonstrations for tactical networks and proactive resource allocation in dynamic environments. Analysis of his 2024-2025 publications reveals a dominant trend toward AI-driven wireless resource optimization, with 12 of 15 recent papers featuring digital twins for interference management, spectrum sharing, and energy efficiency. Key thematic clusters include vehicular communications (4 papers), underwater IoT networks (2 papers), and hardware-impairment resilient designs (3 papers), demonstrating his focus on bridging theoretical advances with real-world deployment challenges across diverse network topologies. Dr. Hassan has secured significant competitive funding for his research initiatives: Digital Twin-Enhanced Interference Management for Next-Generation Radio Access Networks in the FR3 Band (FRQNT, 2025-2027) Center for Radio Frequency and Communications Systems, Technologies and Applications (FRQNT, 2024-2030) Context-Aware Spectrum Sharing and Management for Next Generation Wireless Networks (NSERC, 2024-2029) Development of innovative technologies for modeling predictive systems in urban mobility (MITACS, 2022-2026) Springboard to Discovery supplement for Context-Aware Spectrum Sharing (NSERC, 2024-2025) He actively mentors doctoral candidates, currently supervising Mahima Karim (PhD in Electrical Engineering, expected 2025) and Mohammadamin Parhizgar (PhD in Electrical Engineering, expected 2024). His supervisory approach combines theoretical rigor with practical problem-solving, focusing on spectrum management algorithms and digital twin implementations for next-generation networks. While specific laboratory affiliations aren't detailed in the source material, his projects indicate strong alignment with Laval University's wireless research infrastructure and the Center for Radio Frequency and Communications Systems.

David A. JohnsView profile

Professor

• Analog Integrated Circuits
• High-Speed Data Communications
• Data Converters
• +15 more

David A. Johns is a Full Professor at the Department of Electrical and Computer Engineering within the University of Toronto . His career spans academic and industrial contributions to analog integrated circuits and high-speed communication systems. Co-founder of Snowbush Microelectronics (integrated circuit IP company) IEEE and Canadian Academy of Engineering Fellow Recipient of Darlington Best Paper Award and multiple teaching/design accolades Research Interests include analog integrated circuits for digital communication, data converters, phase-locked loops, and signal processing. His work bridges theoretical concepts with hardware implementation, focusing on full-duplex coax/twisted-pair systems, optical wireless links, and MEMS sensor interfaces. Teaching Contributions cover analog/digital electronics courses like ECE331, ECE354, ECE1371, and ECE1392. He emphasizes hands-on design and simulation tools like LTSpice. Awards & Recognitions : IEEE Fellow (2001) CAE Fellow (2012) Darlington Best Paper Award (1999) University of Toronto ECE Teaching Award (1999) CMC Design Award (1993) Advising involves 19 PhD/MASc theses on topics ranging from oversampling filters to low-power ADCs. His group has produced innovations in continuous-time modulators, MEMS accelerometers, and optical interconnects.

George GhineaView profile

Professor

• Multimedia Quality Assessment
• Mulsemedia Computing
• Human-Computer Interaction
• +7 more

Professor George Ghinea is a distinguished academic in the Department of Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 350 publications and 33 successfully supervised PhD students, he leads cutting-edge research at the intersection of computer science, media studies, and psychology. His educational background includes a PhD from the University of Reading (1999) where he pioneered the Quality of Perception (QoP) metric - a precursor to today's widely adopted Quality of Experience (QoE) concept. He holds multiple degrees with distinction from the University of the Witwatersrand in South Africa, including BSc, BSc (Hons), and MSc in Computer Science. Professor Ghinea's research focuses on perceptual multimedia quality and human-centered e-systems, with particular emphasis on mulsemedia (multiple sensorial media) - his own conceptual framework extending multimedia to engage non-traditional senses. His work spans eye-tracking applications, telemedicine, multi-modal interaction, and ubiquitous computing. Current research explores mulsemedia integration in autonomous vehicles, security-enhanced systems, and accessibility solutions. His publications reveal strong trends in multisensory computing (42% of recent works), telemedicine applications (28%), accessibility research (18%), and network optimization (12%). The work consistently bridges theoretical frameworks with practical implementations, often incorporating physiological data and user perception metrics. Distinguished Visiting Fellow of the Royal Academy of Engineering (2018) SPARC DUO-India 2020 Fellowship Programme recipient Principal Investigator for multiple EU Horizon 2020 projects Research featured in major media including BBC, Forbes, and Daily Telegraph Professor Ghinea has secured substantial research funding through projects like the EU H2020 NEWTON initiative, Royal Academy of Engineering partnerships, and multiple Newton Fund collaborations. His supervision portfolio includes 33 PhD completions with diverse research spanning security behavior in Ghana, physiological QoE in VR, smart city adoption in Oman, and sustainable digital transformation in Qatar. He leads the IMUSY research group focusing on mulsemedia systems and human perception. His laboratory work centers on the IMUSY research group where they develop mulsemedia applications integrating thermal, wind, and olfactory devices for enhanced user experiences. Current team projects include mulsemedia in autonomous vehicles (MulsEAV), physiological data for QoE assessment, and smart city adoption studies.

Daniel LaumannView profile

Researcher

• Physics Education
• Science Education
• Educational Technology
• +4 more

Dr. Daniel Laumann is a faculty member at the University of Münster, affiliated with the Department of Physics within the Faculty of Mathematics and Natural Sciences. His primary research focuses on physics education innovation, particularly the integration of digital tools and technologies into teaching. He has actively contributed to advancing methodologies such as augmented reality (AR) and mixed reality (MR) in laboratory settings, mobile learning strategies, and interdisciplinary approaches combining physics with art. His work emphasizes enhancing student engagement through interactive simulations, BYOD (Bring Your Own Device) initiatives, and conceptual understanding in magnetism and optics. Dr. Laumann has published extensively in journals like Physics Education , Journal of Science Education and Technology , and Frontiers in Education , reflecting his commitment to evidence-based pedagogy. He collaborates widely with colleagues in physics education, psychology, and engineering to design effective learning environments. Education: While specific academic degrees aren’t listed in the text, his title 'Dr.' indicates a PhD in Physics or a related field. Research Interests: His work spans educational technology (e.g., AR for polarization experiments), mobile device integration in STEM education, and cognitive aspects of learning (e.g., empathizing/systemizing traits in students). He also explores interdisciplinary projects linking physics principles with artistic light installations, aiming to broaden public engagement with science. Key Projects: Leading initiatives like the MiReQu project (Mixed Reality Learning Environments for Quantum Technologies) and studies on BYOD impacts in classrooms. He co-developed tools such as the Light Spectrum Analyzer app and smartphone-based magnification devices. Grants & Awards: No specific grants or awards are mentioned in the provided texts. Labs/Teams: Actively involved in the Physics Education Research Group at the University of Münster, collaborating with institutions like the Deutsche Physikalische Gesellschaft (DPG) on curriculum development and innovation.

Andrés BruhnView profile

Professor

• Computer Vision
• Optical Flow
• Scene Flow
• +5 more

Andrés Bruhn is a Professor for Intelligent Systems and Dean of Computer Science Studies at the University of Stuttgart, where he leads research in the Institute for Visualization and Interactive Systems (VIS). His academic career spans over a decade with significant contributions to computer vision, particularly in optical flow, scene flow, and motion estimation. As Dean of Studies, he oversees academic programs while maintaining an active research agenda focused on cutting-edge computer vision problems. Bruhn's research interests center around computer vision with emphasis on optical flow estimation, scene flow, motion analysis, and adversarial machine learning. His work bridges theoretical foundations with practical applications, developing algorithms that address real-world challenges in motion estimation, image processing, and visual understanding. His research group has pioneered approaches that combine variational methods with deep learning, creating robust systems for motion analysis that can withstand adversarial attacks and challenging environmental conditions. The publication record demonstrates a strong focus on advancing the state-of-the-art in motion estimation, with recent work exploring adversarial attacks on optical flow systems, high-resolution datasets for benchmarking, and multi-frame fusion techniques. His research shows consistent innovation, moving from traditional variational methods to modern deep learning approaches while maintaining mathematical rigor. The work spans both theoretical contributions and practical implementations with real-world applicability. Bruhn has mentored numerous researchers who appear as first authors on publications, including Jenny Schmalfuss, Lukas Mehl, and Azin Jahedi, indicating his commitment to developing the next generation of computer vision researchers. His leadership role as Dean of Studies demonstrates institutional recognition of his expertise and administrative capabilities.

Francisco RuizView profile

Associate Professor

• Fuel Atomization
• Internal Combustion Engines
• Regenerative Thermodynamic Cycles
• +2 more

Dr. Francisco Ruiz is Associate Professor of Mechanical and Aerospace Engineering at Illinois Institute of Technology's Armour College of Engineering, specializing in thermal sciences and energy systems. Education: Ph.D. in Mechanical Engineering from Carnegie Mellon University (1987) M.S. in Mechanical Engineering from Carnegie Mellon University (1985) B.S. in Aerospace Engineering from Universidad Politécnica de Madrid (1983) His research investigates fundamental mechanisms of fuel atomization, cavitation effects in injection systems, and advanced internal combustion concepts including regenerative cycles and natural gas engines. He pioneers computational modeling approaches for combustion optimization and has developed innovative curriculum frameworks for engineering innovation. Publications demonstrate enduring focus on adaptive thermodynamic cycles, combustion stability, and fluid atomization physics. Recent work examines novel engine architectures and combustion modeling techniques for efficiency improvement. Awards recognize research and educational innovation: Tanasawa Award for atomization research (1988) SAE Teetor Award (1990) Chicago Tribune All-Professor Team (1993) He leads the Invention Center pedagogy initiative transforming engineering education through design thinking methodologies. Professional memberships include SAE, Tau Beta Pi, and Pi Tau Sigma.

Tobias Kristoffer BoströmView profile

Professor

• Renewable Energy
• Solar Energy Systems
• Electric Vehicle Integration
• +5 more

Tobias Kristoffer Boström serves as Professor of Renewable Energy at UiT The Arctic University of Norway within the Department of Physics and Technology. His research focuses on developing sustainable energy solutions specifically adapted to Arctic conditions, with particular expertise in integrating solar power systems with electric vehicle infrastructure. He maintains an active research program through the Arctic Center for Sustainable Energy (ARC) and contributes to the Smart Senja/RENEW project. Boström's research interests center on renewable energy systems in high-latitude environments, with major contributions to solar energy potential assessment in the Arctic, vehicle-to-grid integration, battery technologies for extreme conditions, and optimization of hybrid renewable energy systems. His work addresses the unique challenges of implementing renewable energy solutions in northern regions where conventional approaches often fail due to extreme weather, limited sunlight during winter months, and sparse population centers. Analysis of his publication record from 2015-2025 reveals a strong focus on practical applications of renewable energy technologies in challenging environments, with increasing emphasis on system integration rather than component-level research. His work demonstrates a progression from fundamental material science studies toward comprehensive energy system modeling, reflecting the maturation of renewable energy technologies from laboratory concepts to real-world implementations. Boström actively collaborates with researchers across multiple disciplines, frequently working with colleagues in electrical engineering, materials science, and environmental studies. His research has practical applications for communities across northern Norway and other Arctic regions seeking sustainable energy solutions that can withstand extreme conditions while maintaining economic viability.

Chad RosenView profile

Professor

• Cornea and Contact Lenses
• Scleral Lenses
• Orthokeratology
• +4 more

Dr. Chad Rosen serves as Professor at Ferris State University's Michigan College of Optometry (MCO), where he holds dual leadership roles as Supervisor of the Cornea & Contact Lens Residency Program and Director of the Vision Research Institute (VRI). His academic career integrates clinical expertise with research innovation in anterior segment optics and contact lens therapeutics. His educational foundation includes: Doctor of Optometry (OD) from Pacific University College of Optometry MBA with Advanced Studies Certificate in Management Tools & Concepts from Ferris State University Cornea & Contact Lens Residency from Pacific University Bachelor of Business Administration in Entrepreneurship from University of North Dakota Dr. Rosen's research pioneers advancements in scleral lens applications for ocular surface disease, orthokeratology for pediatric myopia control, and multifocal lens optics for presbyopia. His work bridges clinical practice with scientific inquiry through rigorous retrospective analyses and device validation studies, emphasizing practical implementation in optometric care. As founding Editor-in-Chief of the Journal of Contact Lens Research and Science , he shapes scholarly discourse in the field. Analysis of his 2016-2025 publications reveals an evolving trajectory from foundational scleral lens techniques toward specialized applications for neurotrophic conditions and pediatric myopia management. His research consistently emphasizes clinical problem-solving, patient-centered outcomes, and interdisciplinary integration of optics, materials science, and ocular physiology. Professional recognition includes: Fellow of the American Academy of Optometry (FAAO) Dr. Rosen actively mentors future specialists through the Cornea & Contact Lens Residency program while serving as treasurer for the Association of Optometric Contact Lens Educators (AOCLE). His leadership extends to international lecturing at venues including Global Specialty Lens Symposium and American Academy of Optometry meetings, where he translates research into clinical practice. As Director of MCO's Vision Research Institute, he cultivates a collaborative environment for anterior segment research, overseeing projects that advance contact lens therapeutics and diagnostic methodologies while supporting resident and faculty research initiatives.

• Philosophy of Mind
• Phenomenology
• Theories of Consciousness
• +4 more

Dr. Kenneth W Williford is a Professor in the Department of Philosophy and Humanities at The University of Texas at Arlington (UTA), where he has served since 2009, including as Department Chair from 2009-2023. He holds a BA from UTA (1995) and PhD from the University of Iowa (2003), with postdoctoral work in Cognitive Science at École Polytechnique (2005) and Neuroscience at Iowa (2008-2009). His academic journey includes positions at St. Cloud State University and Universität Bielefeld. Education : PhD (Philosophy, University of Iowa, 2003); MA (Philosophy, University of Iowa, 2000); BA (Philosophy, UTA, 1995) Williford's research centers on Philosophy of Mind and Phenomenology, with groundbreaking work on the Projective Consciousness Model (PCM) developed with David Rudrauf. His scholarship bridges Husserlian phenomenology, projective geometry, and neuroscience to explain subjective experience, self-consciousness, and intersubjectivity. Key contributions include resolving regress arguments about self-acquaintance and modeling consciousness through mathematical frameworks. His publication trends reveal an evolution from historical analyses (Hume, Spinoza, Sartre) toward interdisciplinary consciousness science, culminating in PCM's geometric approach to pre-reflective self-awareness. Recent work integrates animal pain neuroscience, theodicy, and projective geometry to address philosophical and ethical problems. Awards : Faculty Development Leave (2024), Graduate Neuroscience Scholarship (2008), CREA Postdoctoral Fellowship (2005), Distinguished Dissertation Award (2003) As an advisor, Williford has mentored graduate students across Philosophy, Psychology, and Art History. His service includes chairing UTA's Department of Philosophy & Humanities (2009-2023), serving on university committees, and reviewing for top journals including Mind and Phenomenology and the Cognitive Sciences . He co-directs the Projective Consciousness research program with international collaborators in France and Germany.

Andreas StollView profile

Researcher

• Astrophotonics
• Astronomical Instrumentation
• Integrated Optics
• +3 more

Andreas Stoll is a Researcher at the Leibniz Institute for Astrophysics Potsdam (AIP), where he is a core member of the Astrophotonics (innoFSPEC) research group within the Development of Research Technology department. His work focuses on designing and implementing advanced photonic instruments for astronomical applications, with particular emphasis on integrated optics solutions that enhance spectroscopic capabilities for ground-based and space telescopes. The Astrophotonics group operates at the intersection of optical engineering and observational astronomy, developing technologies that address critical challenges in instrument stability, miniaturization, and spectral resolution. Dr. Stoll's research spans multiple dimensions of astrophotonic instrumentation, with primary focus areas including integrated photonic spectrographs, fiber-optic spectrometer designs, and near-infrared astronomical instrumentation. His work leverages waveguide technology and novel fiber geometries to create compact, high-performance instruments that overcome traditional limitations in astronomical spectroscopy. The Astrophotonics (innoFSPEC) group maintains strong collaborations with AIP's 3D and Multi Object Spectroscopy section and Technical Software/Electronics teams, facilitating the transition from theoretical concepts to functional astronomical instruments through interdisciplinary engineering approaches. Analysis of Dr. Stoll's recent publications reveals a consistent trajectory toward practical implementations of multi-functional astrophotonic systems, with increasing sophistication in cross-dispersed spectrograph designs and H-band instrumentation. His work demonstrates growing integration of photonic technologies into astronomical workflows, particularly through the development of arrayed waveguide spectrographs and helix-core fiber bundles that enable new observational capabilities. The research shows particular strength in translating theoretical photonics concepts into instrument demonstrators ready for telescope deployment, with significant contributions to community roadmapping efforts that define the future direction of the field. As part of the Astrophotonics (innoFSPEC) team at AIP, Dr. Stoll contributes to a dynamic research environment focused on developing next-generation astronomical instrumentation. The group maintains active collaborations with international partners and telescope facilities, working on projects that range from laboratory demonstrators to instruments destined for major observatories. Their work encompasses the full development cycle from optical design and component fabrication through laboratory testing and on-sky validation, with current efforts emphasizing the integration of multiple photonic functions onto single chips to achieve unprecedented instrument capabilities for exoplanet characterization and galactic structure studies.

• Human-Computer Interaction
• Ubiquitous Computing
• Sensing Technologies
• +6 more

Gierad Laput is an Associate Professor in the Human-Computer Interaction Institute within Carnegie Mellon University's School of Computer Science. His research spans the intersection of human-computer interaction, ubiquitous computing, and sensing technologies with a strong focus on practical applications for real-world problems. Laput has established himself as a leading researcher in wearable computing, gesture recognition, and accessibility technologies through consistent publication in top-tier venues including CHI, UIST, and other premier HCI conferences. Laput's research interests center on creating novel sensing techniques that enable more natural and accessible human-computer interactions. His work spans wearable computing systems, activity recognition, touch and gesture interfaces, and accessibility technologies. He has made significant contributions to sparse sensor constellations, acoustic activity recognition, and vision-based gesture systems that push the boundaries of what's possible with current hardware limitations. His research often bridges theoretical innovation with practical implementation, demonstrating real-world applicability of his sensing techniques. Analysis of Laput's recent publications reveals a strong trajectory toward more sophisticated interaction techniques that leverage AI and machine learning. His work has evolved from foundational sensing techniques (like Electrick and Vibrosight) to more complex systems integrating multiple modalities (vision, audio, and wearable sensors). Recent work shows increasing focus on accessibility applications, particularly sign language recognition and generation, and more personalized interaction techniques that adapt to individual users' movement patterns. The research demonstrates consistent innovation in making interaction more natural, accessible, and context-aware. Laput has been actively involved in mentoring and advising students, as evidenced by his role as first author on many papers with student collaborators. His work has received significant attention in the HCI community, with multiple papers appearing in top venues and influencing subsequent research directions in sensing and interaction techniques. While specific grant information isn't visible in the provided data, his consistent publication record suggests successful funding from major sources supporting HCI and computing research. Through his XRDS magazine columns ('Opening the black box,' 'Play ball,' 'The power of two'), Laput has also contributed to science communication and public understanding of technology. These writings demonstrate his commitment to making complex technical concepts accessible to broader audiences and exploring the social implications of emerging technologies.

Sudharman K. JayaweeraView profile

Professor

• Cognitive Radios
• Wireless Communications
• Statistical Signal Processing
• +7 more

Dr. Sudharman K. Jayaweera is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico, Albuquerque, NM. He holds a PhD in Electrical Engineering from Princeton University (2003), an MS in Electrical Engineering from Princeton University (2001), and a BE in Electrical and Electronic Engineering with First Class Honors from the University of Melbourne, Australia (1997). He is a Senior Member of IEEE and serves as an editor for IEEE Transactions in Vehicular Technology. Dr. Jayaweera's research spans several key areas in modern communications and signal processing: Cognitive radios and autonomous learning systems Wireless communications and statistical signal processing Machine learning applications in communications Smart-grid technologies and cyber-physical systems Satellite communications and space networks Vehicular networks and distributed systems His recent work shows a clear trend toward integrating artificial intelligence with traditional communications systems, particularly focusing on UAV networks, spectrum management, and security aspects of cognitive radio systems. The publications reflect a strong emphasis on practical implementations of theoretical concepts, with applications ranging from smart grids to space communications. Dr. Jayaweera has received numerous scientific awards including the IEEE PACRIM 2011 Gold Award for Best Communications Paper, the IEEE AVSS '06 Best Paper Award, and the WPMC '03 Excellent Paper Award. He has also been recognized with fellowships including the National Research Council (NRC) Senior Fellow at the Naval Postgraduate School and ASEE Air Force Summer Faculty Fellow. As an advisor, Dr. Jayaweera has mentored numerous graduate students to completion of their PhD and MS degrees. His former students have gone on to successful careers at institutions including Syracuse University, SUNY Oswego, Qualcomm, Sandia National Labs, and other leading technology companies. He also directs the EYES Summer Internship program for international students at UNM. Dr. Jayaweera leads the Communications and Information Sciences Lab (CISL) and the Cognitive Radio Lab (CRL) at UNM, where his teams work on cutting-edge research in autonomous cognitive radios (which he terms "Radiobots"), machine learning for communications, and next-generation wireless systems.