Jennifer Renée Kilpatrick is an Assistant Professor of Deaf Education at the University of North Florida , where she has served since 2015. Her work bridges theory and practice through partnerships with K-12 programs serving Deaf/Hard of Hearing (DHH) students across Florida. Education: PhD in Literacy Studies, University of Tennessee (2015) MEd in Elementary Education, University of North Florida (2011) MS in Education of the Deaf/Hard of Hearing, University of Tennessee (2008) BS in Special Education, Liberty University (2003) Research Focus: Her scholarship emphasizes Universal Design for Learning , deaf education teacher preparation , and literacy instruction for DHH students. She employs functional grammar approaches and integrates digital tools to enhance writing pedagogy. Key Contributions: Recent publications analyze trends in DHH teacher training and UDL implementation during the pandemic. Her work spans empirical studies, curriculum innovation, and international collaborations in Haiti. Professional Engagement: Kilpatrick actively contributes to editorial and committee work, including the Teacher Education Council and Journal of Deaf Studies and Deaf Education review board. Personal: Known as Dr. K or KP to students, she balances her academic pursuits with outdoor activities like hiking and running.
Stephen A. Edwards is an Associate Professor at the Computer Science Department of Columbia University , where he explores automating software for embedded systems and real-time control . His work focuses on compiler techniques for languages like Esterel and domain-specific solutions for device drivers and communication protocols . Education : PhD in Electrical Engineering, University of California, Berkeley (1997) MS in Electrical Engineering, UC Berkeley (1994) BS in Electrical Engineering, California Institute of Technology (1992) Research Interests span hardware synthesis , functional programming , and synchronous languages . He develops domain-specific languages to bridge software and hardware, emphasizing determinism and timing precision in embedded systems. His group's work includes projects like the FHW compiler and the Sparse Synchronous Model . Article Trends show a focus on FPGA-based systems , garbage collection for accelerators, and parallel functional programming . These reflect his broader interests in hardware-software co-design and compiler optimization for real-time applications. Students : John Hui (2021-2024, Apple) Max Levatich (2020-) Richard Townsend (2013-2019, Tufts) Nalini Vasudevan (2007-2011, Google) Marcio Buss (2004-2008) Jia Zeng (2002-2008) Cristian Soviani (2002-2007, Synopsys) Consulting & Expert Services : He provides litigation support and expert witness services in patent cases involving software architecture and computer design , including ITC cases. Labs & Projects : Leads research on sparse synchronous systems and hardware synthesis , with initiatives like the GAPS CLOSURE Project and FHW Compiler for translating Haskell to System Verilog.
Doris Kristina Raave is a PhD candidate at the University of Tartu, Faculty of Social Sciences, Institute of Education, specializing in educational technology. She currently holds research positions at Leipzig University's Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) and Humboldt Science Center for Child Development, while also working as a Junior Research Fellow at the University of Tartu. Her academic career spans educational research, teaching, and project specialization across multiple institutions in Estonia and Germany. Dr. Raave's educational background includes: PhD in Educational Sciences (ongoing) at the University of Tartu, Institute of Education, supervised by Margus Pedaste and Katrin Saks Master of Arts in Social Sciences (Educational Innovation, 2023) from the University of Tartu Master of Arts in Education (Foreign Language Teacher, Cum Laude, 2021) from the University of Tartu Bachelor of Humanities (Romanics, Cum Laude, 2019) from the University of Tartu Her research interests focus on the integration of digital technologies in educational settings, particularly examining the factors that influence how classroom technology affects teaching and learning processes. Dr. Raave investigates meaningful integration strategies for digital tools, with emphasis on personalized learning approaches and the impact on both cognitive and non-cognitive student outcomes. She explores the dual nature of classroom technology as both beneficial engagement tool and potential distraction, examining how teachers implement digital resources across various educational contexts. Her work bridges educational theory with practical classroom applications, seeking to optimize technology use while addressing implementation challenges. Analysis of Dr. Raave's publication record reveals a strong focus on educational technology integration in K-12 settings, with particular attention to teacher practices, student learning outcomes, and innovative EdTech solutions. Her recent work includes the "Play My Math" project that combines music and mathematics education through digital tools, as well as extensive research on classroom technology integration practices. The publications demonstrate a consistent trajectory examining how digital technologies can be effectively implemented in educational contexts, with increasing focus on EdTech tool development and evaluation of learning outcomes. Dr. Raave has received numerous prestigious awards recognizing her contributions to educational research: 2024 Europaeum Scholars Programme Scholarship 2024 EXIST-Women Scholarship from the German Federal Ministry for Economic Affairs and Climate Action 2023 The Learning Agency Tools Competition Catalyst Award 2022 Estonian Foreign Language Teachers Association's "Learner of the Years" Multiple scholarships including Peeter Põld Teacher Training Scholarship (2020), President Lennart Meri Award (2019), and various foundation scholarships Dr. Raave has been actively involved in significant research projects, most notably the DigiEfekt project (2020-2023) investigating the impact of digital learning materials on student outcomes in Estonian basic education. She served as a key researcher on this €300,000 Ministry of Education and Research-funded project led by Margus Pedaste. Her current research focuses on developing markers for personalized support in blended learning processes as part of her doctoral dissertation. She has also contributed to updating guidelines for creating digital learning materials, demonstrating her commitment to translating research into practical educational resources. Dr. Raave is an active member of several prominent educational research organizations including the British Educational Research Association (BERA), International Society for the Study of Behavioural Development (ISSBD), European Association for Research on Learning and Instruction (EARLI), and European Association of Technology-Enhanced Learning (EATEL). Her collaborative work extends to international research teams, particularly evident in her current positions at Leipzig University where she contributes to projects at the intersection of artificial intelligence, data analytics, and educational development.
Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.
Gail-Joon Ahn serves as a Professor of Computer Science and Engineering at Arizona State University, specializing in cybersecurity solutions for critical infrastructure with a focus on energy delivery systems. Research interests include: Cybersecurity Network Security Critical Infrastructure Security Energy Systems Security Security Assessment Adaptive Security His work develops frameworks like EDSGuard for security requirement enforcement and OntoEDS for collaborative security analysis in energy systems. Publication trends demonstrate concentrated efforts in applying ontological engineering and proactive assessment methodologies to protect energy infrastructure, advancing critical infrastructure resilience through formal security policy implementation. Scientific Awards: No awards mentioned Advising and Grants: The provided text contains no information regarding student advising or research funding. Labs and Teams: Dr. Ahn is affiliated with the Center for Risk and Economic Analysis of Threats and Exploits (CREDC) at Arizona State University, contributing to energy delivery system security research.
James Shackleford serves as Associate Professor and Interim Associate Dean for Enrollment Management and Graduate Education in the Department of Electrical and Computer Engineering at Drexel University. His research bridges medical image processing, high performance computing, and emerging neuromorphic architectures with significant contributions to radiation therapy applications. Education: PhD in Electrical Engineering, Drexel University, 2011 MS in Electrical Engineering, Drexel University BS in Electrical Engineering, Drexel University Research Focus: Professor Shackleford's work centers on GPU-accelerated medical image registration (forming the core of the open-source Plastimatch software), real-time tumor motion management for radiation therapy, and digital spiking neuromorphic systems . His research integrates computer vision, machine learning, and embedded systems to solve clinical imaging challenges. Publication Trends: Recent work (2020-2024) reveals dual research trajectories: (1) advancing deformable image registration through CycleGAN-based domain adaptation for CT auto-segmentation in radiation oncology, and (2) pioneering neuromorphic computing with configurable hardware architectures, dataflow-based compilers, and resource-aware neural network mapping. These streams converge on high-performance solutions for medical imaging and efficient neural processing.
Pedro M. B. Silva Girão is a Full Professor in the Department of Electrical Engineering at Instituto Superior Técnico (IST), University of Lisbon (UL), and a Senior Researcher at Instituto de Telecomunicações where he heads the Instrumentation and Measurements Group and coordinates the Basic Sciences and Enabling Technologies area. His dual institutional roles position him at the forefront of academic research and technological innovation in Portugal. His research program focuses on instrumentation, transducers, and measurement techniques with specialized applications in biomedical and environmental domains. Key interests include wireless sensor networks for health monitoring, metrology standards, and digital data processing methodologies. This work bridges engineering principles with real-world healthcare and ecological challenges, emphasizing practical implementations in diagnostic systems and environmental sensing. Analysis of his 2019-2024 publications reveals a strong thematic trajectory in IoT-enabled healthcare solutions and precision environmental monitoring. Recurring motifs include gait rehabilitation through mixed reality systems, advanced dosimetry for liver cancer radioembolization, microvascular reactivity assessment, and water quality sensor networks. His output demonstrates consistent interdisciplinary collaboration between engineering, medical, and environmental science communities. Dr. Girão's scientific recognition includes: IEEE Senior Member status IEEE IMS Distinguished Lecturer appointment Honorary Chairmanship of IMEKO TC19—Environmental Measurements As leader of the Instrumentation and Measurements Group at Instituto de Telecomunicações, he directs a multidisciplinary team developing next-generation measurement systems. Current initiatives integrate microwave Doppler radar, wearable biopotential sensors, and wireless networks for unobtrusive health monitoring and environmental assessment, with active partnerships across medical institutions and ecological agencies.
Jenny Vojtech is a Research Assistant Professor in the Department of Speech, Language & Hearing Sciences at Boston University and serves as Associate Director of the STEPP Lab for Sensorimotor Rehabilitation Engineering. Her interdisciplinary work bridges biomedical engineering and clinical speech pathology to develop computational solutions for voice and speech disorders. Her academic credentials include: PhD in Biomedical Engineering, Boston University (2020) MS in Biomedical Engineering, Boston University (2019) BS in Bioengineering, University of Maryland (2015) Dr. Vojtech's research centers on sensorimotor rehabilitation engineering with specialization in voice disorder analysis , speech motor control , and augmentative communication systems . She develops computational algorithms to objectively characterize voice pathologies and creates software for speech analytics in cognitive monitoring applications. Her work uniquely integrates electromyographic signal processing , human-computer interaction design , and clinical rehabilitation principles to address challenges in speech pathology. Analysis of her recent publications (2019-2023) reveals consistent focus on computational approaches to voice and speech analysis, with strong emphasis on methodological refinement for clinical applications. Key thematic threads include algorithmic development for fundamental frequency estimation, EMG-based voice prediction systems, and personalized AAC interface design that accommodates motor impairments. As Associate Director of the STEPP Lab, Dr. Vojtech leads an interdisciplinary research environment focused on engineering solutions for sensorimotor speech disorders. The lab provides infrastructure for developing and validating computational methods that translate engineering innovations into clinically viable rehabilitation tools.
Pedram Johari serves as a Principal Research Scientist at Northeastern University's Institute for Wireless Internet of Things, working under Prof. Tommaso Melodia in the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on next-generation wireless communications with particular emphasis on medical applications and nanoscale networks. Dr. Johari earned his Ph.D. in Electrical Engineering from the University at Buffalo, State University of New York in 2018 under the supervision of Prof. Josep M. Jornet. Prior to joining Northeastern, he served as CTO of an IoT-tech startup in New York (2018-2019) and held academic positions at University at Buffalo as Adjunct Instructor and Research Assistant Professor (by courtesy appointment). His research spans four interconnected domains: Intra-body Communications and Networking focusing on nanoscale electromagnetic and optical communications within biological tissues; Internet of Medical Things developing wireless systems for healthcare applications; Low Power Wireless IoT creating energy-efficient communication protocols; and Vehicular Communications advancing cooperative driving systems. His work bridges theoretical modeling with practical implementation, often incorporating AI techniques for network optimization. Analysis of his recent publications reveals a strong trend toward digital twin technology for wireless networks, AI-enabled communication systems, and medical applications of nanoscale communications. His research increasingly integrates machine learning with traditional communication theory, particularly in Open RAN systems and seizure prediction technologies, demonstrating cross-disciplinary impact across engineering, computer science, and biomedical fields. Best Paper Award at IEEE Global Communications Conference (GLOBECOM) Best Short Paper Award at IEEE Vehicular Networking Conference (VNC) Best Presentation Award at IEEE Conf. on Computer Communications Workshops (INFOCOM WKSHPS) Dr. Johari actively contributes to academic service as a reviewer for numerous prestigious journals including IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, and IEEE Internet of Things Journal. He has served on technical program committees for major conferences including IEEE/ACM CHASE and IEEE SECON. His teaching experience includes courses in programming, circuit analysis, and digital principles at University at Buffalo. As a key member of the Wireless Networks and Embedded Systems Lab at Northeastern University, Dr. Johari contributes to the Colosseum wireless network emulator project - recognized as the world's largest wireless network emulator. His work with the Institute for Wireless Internet of Things involves collaboration with industry partners to translate research into practical wireless communication solutions.
Yuhong Nan is an Associate Professor in the School of Software Engineering at Sun Yat-sen University, China, specializing in software security and privacy leakage analysis for emerging platforms including IoT, mobile systems, and blockchain. Previously a Post-doctoral Research Associate at Purdue University under Prof. Dongyan Xu, she builds practical security tools to detect and mitigate vulnerabilities in real-world systems. Dr. Nan earned her PhD from Fudan University in 2018 supervised by Prof. Min Yang. Her academic journey spans rigorous research in security engineering with emphasis on empirical validation and tool development for complex platform ecosystems. Her research program focuses on uncovering systemic security flaws through innovative analysis techniques. Key contributions include vulnerability detection in smart contracts (e.g., state dependencies, reentrancy), privacy leakage analysis in mobile/IoT ecosystems, and countermeasures against deceptive UI patterns. She employs hybrid approaches combining static/dynamic analysis, machine learning, and large-scale empirical studies to develop deployable security solutions. Analysis of her 15 most recent publications (2023-2025) reveals dominant themes in blockchain security (60%), particularly smart contract/DApp vulnerabilities, with significant work in mobile privacy (30%) and cross-platform threats (10%). Her methodology consistently leverages fine-grained static analysis, semantic enrichment, and feedback-driven fuzzing, yielding tools like SmartAxe and Midas that have influenced industry practices. Dr. Nan actively mentors graduate researchers with 17 advisees including Tencent-employed graduates, and serves as a trusted reviewer for premier journals (IEEE TDSC, TMC, TOPS) and conference committees (ASIACCS, ICICS). Her leadership in security communities bridges academic research with practical defense mechanisms. At Sun Yat-sen University, she directs a high-output research group that collaborates with industry partners to address evolving threats in decentralized systems, maintaining her position among top publishing authors in USENIX Security, CCS, and NDSS venues through rigorous technical innovation.
Prof. Dr.-Ing. Andreas Hoppermann serves as Professor of Design Theory at Niederrhein University of Applied Sciences within the Department of Engineering and Computer Science since 2009. He leads the Fluid Power and Tribology Laboratory, conducting research at the intersection of mechanical product development and tribological systems. His academic foundation includes a Mechanical Engineering degree and doctorate from RWTH Aachen University, where his dissertation investigated surface design and material selection for hydraulic components. Prior to academia, he worked as a research group leader in tribology at RWTH Aachen and as a project-leading development engineer at Voith Paper. Hoppermann's research centers on product development , design methodology , fluid power engineering , and tribology , with emphasis on technical product optimization, test rig development, and tribological phenomena in industrial applications. His work bridges theoretical modeling with experimental validation in hydrostatic bearing systems and fluid power components. Recent publications demonstrate a concentrated focus on grease-lubricated hydrostatic bearings, exploring non-Newtonian fluid behavior, pressure distribution, and control concepts. This research trajectory reflects growing industrial demand for efficient, maintenance-friendly bearing solutions in mobile machinery and automotive systems. His scientific recognition includes the prestigious Borchers-Plakette award from RWTH Aachen. Borchers-Plakette With over 100 supervised master's theses from 2009-2026, Hoppermann has guided research on hydraulic system optimization, tribological contact analysis, and mechanical design innovations. His BMBF-funded "Stahl-Schnecke" project advanced steel-based worm gear technology as bronze alternatives. Current research focuses on hydrostatic bearing performance and tribological testing methodologies. The Fluid Power and Tribology Laboratory provides experimental facilities for student projects and industry collaborations, featuring test rigs for hydrostatic bearings, tribological contacts, and fluid power systems. This infrastructure supports Hoppermann's applied research approach connecting academic inquiry with industrial problem-solving.
Dongdong She is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). His research focuses on the intersection of security and machine learning, applying data-driven approaches to solve security problems. He has established himself as a prominent researcher in software security and fuzzing techniques with publications in top conferences including IEEE S&P, CCS, and USENIX Security. Dr. She received his Ph.D. from Columbia University's Department of Computer Science, where he worked with Professors Suman Jana and Baishakhi Ray. Prior to Columbia, he conducted research with Zhiyun Qian on Android Security at the University of California, Riverside. He completed his undergraduate studies at Huazhong University of Science and Technology. His research spans two main areas: LLM Security, which investigates the security of large language models and LLM-powered systems, and LLM for Traditional Security, which leverages LLMs to solve traditional security problems such as program analysis and vulnerability discovery. His work often combines machine learning techniques with traditional security approaches to develop innovative solutions for software security challenges. Dr. She's publication record shows a consistent evolution from foundational work in neural network-assisted fuzzing (NEUZZ) toward more advanced applications in LLM security and program analysis, demonstrating both theoretical rigor and practical impact with techniques adopted by the security community. Among his notable achievements: Distinguished Paper Award at ISSTA 2025 Distinguished Paper Award at IEEE S&P 2025 Best Paper Award Runner-Up at CCS 2022 Second Place in SBFT 2024 Fuzzing Competition Finalist in 2019 NYU CSAW Applied Research Competition Dr. She currently advises several Ph.D. students including Yuchong Xie, Shuangjie Yao, and Qiao Zhang, who began their studies in Fall 2024. He serves on program committees for major conferences including ASE 2025, where he is a PC Member for the Research Papers track. His research is supported by grants enabling his team to pursue innovative approaches at the intersection of machine learning and security. His research group maintains active collaborations with institutions worldwide and contributes to open-source security tools that are widely used in both academia and industry, with a particular focus on developing advanced techniques for software security analysis through the application of machine learning.
Pieter Simoens is an Assistant Professor at Ghent University and affiliated with the imec research institute. He works at the intersection of distributed artificial intelligence, edge computing, and collective intelligence, with a focus on AI applications for resource-constrained environments and robotic systems. His research explores innovative approaches to machine learning deployment in heterogeneous infrastructures, task planning for IoT-integrated robotics, and modeling collective decision-making processes. He has contributed to frameworks like DIANNE for distributed deep learning and developed methods for cognitive modeling in reinforcement learning scenarios. With over 100 publications, his recent work spans adaptive neural networks, privacy-preserving surveillance, UAV hyperspectral data analysis, and computational fairness in AI systems. He leads research initiatives within the Internet Technology and Data Science Lab (IDLab) and contributes to educational programs in software engineering and applied machine learning. Responsible for courses on software engineering, mobile development, system design, and applied machine learning Active in edge computing and neuromorphic algorithms research Develops AI solutions for robotics, surveillance, and industrial IoT applications
Professor Andreas Baas is a leading academic in aeolian geomorphology, holding a Professorship at King's College London's Department of Geography within the School of Global Affairs. His research focuses on dune dynamics on Earth and Mars, aeolian sand transport, and climate change impacts. He earned BSc/MSc from the University of Amsterdam and a PhD from the University of Southern California, supported by an NSF Research Award. Previously, he was an Adjunct Professor at California State University San Bernardino. Research interests include desert dune hazards, microplastics transport, and Martian dune bedforms. He has published 40+ peer-reviewed articles, 10+ book chapters, and his work has been cited over 3,500 times. His grants include funding from the Leverhulme Trust, Nuffield Foundation, and UK NERC. He supervises PhD students on topics like barchan swarms and Mars dune dynamics. His lab work includes developing tools like PyShoreVolume for shoreline change analysis. He is an associate editor for Earth Surface Dynamics and a member of the NERC Peer-Review College.
Lev Gonick is the University Chief Information Officer at Arizona State University and holds the academic rank of Professor of Practice in the School of Public Affairs. He also serves as a Senior Global Futures Scientist with the Global Futures Scientists and Scholars initiative, and is affiliated with the Center on Technology, Data and Society. His career spans over 25 years in education, technology, and smart city development, including roles as CIO at Case Western Reserve University (2001-2013) and co-founder/CEO of DigitalC, a broadband innovation nonprofit. Education: Ph.D. in International Political Economy, York University (Canada), 1992 M.A. in World Politics, Binghamton University, 1983 B.A. in Philosophy, Political Science, and Religion, The Ohio State University, 1981 Research Interests: Focuses on the intersection of technology and society, including the future of education, broadband infrastructure, smart cities, IoT, programmable urban systems, and the political economy of information technology. His work emphasizes community engagement through technology and digital equity initiatives. Notable Achievements: Recipient of Inside Business Magazine's Power 100 (2015) Government Technology's Top 25 Doers, Dreamers and Drivers (2011) Broadband Properties Cornerstone Award (2011) NATOA Visionary of the Year (2010) ComputerWorld Premier 100 IT Leader CIO Magazine CIO 100 Award Professional Contributions: Pioneered projects like the Case Connection Zone, foundational to national initiatives like US Ignite and Gig.U. Developed ClevelandPlus in Second Life and OneCleveland digital city initiatives. Advocates for fiber-to-home networks and inclusive technology policies.
