Srđan Divac is a Teaching Assistant at the Department of General Electrical Engineering and Electronics within the Faculty of Technical Sciences, University of Kragujevac . He earned his PhD in 2025 (average grade: 9.88) after completing his master's (2018, grade: 10) and bachelor's (2017, grade: 9.67) studies at the same institution. His research focuses on: Numerical methods in electromagnetics Measurement uncertainty analysis for electrical machines Dynamic hysteresis modeling in ferromagnetic materials Harmonic interpolation techniques for nonlinear circuits Instantaneous magnetisation power analysis Equivalent circuit parameter estimation Key article trends include simulation of magnetic hysteresis loops, electromagnetic computation for power systems, and advanced modeling of ferromagnetic and permalloy materials under varying excitation frequencies. His work appears in journals like Applied Sciences and Energies , as well as conferences such as IcETRAN and PES .
Professor Jim Harkin serves as Head of the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. He is a prominent member of the Computational Neuroscience and Neuromorphic Engineering team within the Intelligent Systems Research Centre (ISRC), where he leads cutting-edge research bridging biological neural processes with hardware implementations. Harkin's research focuses on developing intelligent embedded systems capable of self-repair under error conditions, drawing inspiration from neural network models. His work explores how computer models of neural networks can be mapped to hardware to build highly efficient and reliable embedded computers. Key innovations include Networks-on-Chip strategies and hardware implementation of self-repairing Spiking Neural Networks. His research spans multiple domains including fault tolerance, neuromorphic computing, and AI hardware acceleration, with applications in healthcare, structural monitoring, and energy systems. Analysis of his recent publications reveals a strong trend toward practical applications of neuromorphic computing, particularly in healthcare monitoring systems, structural health assessment, and energy-efficient computing. His work shows increasing integration of spiking neural networks with real-world hardware implementations, demonstrating a clear trajectory from theoretical models to deployable systems with commercial applications. Harkin has received numerous scientific accolades including the Life and Health Startup Company of the Year 2019 from InventNI Ulster Distinguished Learning Support Fellowship Multiple awards for innovative routing strategies in neural network hardware implementations Professor Harkin has secured significant research funding exceeding £3.5 million from diverse sources including EPSRC, MRC, Innovate UK, HSC R&D, InvestNI, and DEL. His grant portfolio demonstrates strong industry and healthcare sector engagement, particularly through his co-founded startup Respiratory Analytics which focuses on medical analytics. He has supervised numerous research students and has been instrumental in Ulster University's Computer Science submissions to major research assessment exercises including RAE 2008, REF2014, and REF2021. As Head of School and leader within the Intelligent Systems Research Centre, Harkin oversees multiple research teams focusing on computational neuroscience, neuromorphic engineering, and intelligent embedded systems. His lab has developed specialized FPGA-based platforms for simulating and implementing self-repairing neural networks, including the AstroByte multi-FPGA architecture for accelerated simulations of fault-tolerant spiking astrocyte-neuron networks.
Associate Professor Taylor Dick is a leading researcher at the University of Queensland's School of Biomedical Sciences, where she serves as Director of the Neuromuscular Biomechanics Laboratory. Her interdisciplinary work bridges biomechanics, bio-inspired assistive devices, and neuromuscular physiology, addressing fundamental questions about movement's role in evolution, health, and disease. She completed her PhD at Simon Fraser University (2016) and postdoctoral training at the University of North Carolina (2016-17) before joining UQ in 2017. Education: PhD in Biomechanics (Simon Fraser University, 2016) Key Roles: Associate Professor, Director of Higher Degree Research, International Society of Biomechanics Executive Council Member Her research integrates musculoskeletal anatomy, neural control, and biomechanics to study human and animal locomotion. By combining experimental paradigms with modeling techniques, her team investigates muscle-tendon dynamics, locomotor adaptations, and assistive device optimization. Recent work focuses on gait disruptions in motor neuron disease, aging-related muscle changes, and VR-based balance assessment. Latest publications highlight trends in muscle energetics , exoskeleton design , and comparative biomechanics . Her team's interdisciplinary composition spans biomechanists, physiologists, engineers, and computer scientists, reflecting her collaborative approach. Scientific Awards: 2024 Queensland Tall Poppy Award 2024 International Union of Physiologists Junior Faculty Award 2024 International Society of Electrophysiology and Kinesiology Kevin P. Granata Award 2021 International Society of Biomechanics Jaquelin Perry Emerging Scientist Award Taylor actively supervises 18 HDR students and has advised 16 to completion. She co-developed the BRInC program to promote STEM engagement for girls. Her research is funded by competitive grants exceeding $3.6 million, including projects on wearable robotics for ALS patients and kangaroo locomotion.
Lotten Wiréhn is a Lecturer at Linköping University's Department of Theme (TEMA) , specializing in Theme Environmental Change (TEMAM) . Her research focuses on the intersections between climate change, human-natural systems, and sustainable development, with a particular emphasis on creating actionable climate information through Climate services Visualization tools Contextual relevance Decision-making support Her work spans diverse domains including Swedish agricultural adaptation , urban heat management , and climate aid in East Africa . She develops methodologies for climate risk assessment and innovative tools like the interactive Norrköping's Decision Arena to enhance climate adaptation dialogues and data interpretation. Current projects include BRIGHT : Strengthening urban heat adaptation in Swedish cities Decision support : Customized climate indicators for forestry and agriculture CSPR : Climate policy research for global impact
Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files
Ricardo A. Correia is a Grant-Aided Researcher at the Department of Geosciences and Geography, University of Helsinki, with a Docentship in Helsinki Lab of Interdisciplinary Conservation Science. His work bridges biodiversity conservation, digital data science, and human-nature relationships. PhD in Environmental Sciences (2015) from University of East Anglia MSc in Conservation Biology (2008) from University of Lisbon BSc in Environmental Biology (2007) from University of Lisbon His research focuses on biocultural conservation , invasive species dynamics , and digital data applications (social media, Google Trends) for ecological monitoring. He explores the intersection of mental health and biodiversity through One Health frameworks and advocates for equitable conservation policies using culturomics and AI. Notable scientific outputs include 2025 publications on conservation flagships, biophobias, and AI applications. His 2024 work analyzed charisma in conservation, political vulnerability of parks, and social media sentiment mapping. Best Poster Award (2009) Editorial Board, Journal of Biogeography (2020–) Editor, Conservation Biology Journal (2020) Correia leads projects like the 2022–2022 Biocultural Approach for Neglected Biodiversity (Finnish Academy) and contributes to global biodiversity frameworks through social media analysis and digital monitoring tools like gtrendsAPI .
Dr. Arathy Kartha is a vision rehabilitation researcher with affiliations to the Wilmer Eye Institute at Johns Hopkins University School of Medicine. She holds a K99/R00 Pathway to Independence Grant from the National Eye Institute and specializes in multisensory rehabilitation for ultra-low vision. Education: BS and MPhil in Optometry from Elite School of Optometry (Chennai, India) PhD in Pediatric Vision Rehabilitation (Australia) Postdoctoral Fellowship at Wilmer Eye Institute (Johns Hopkins University) Her research focuses on integrating virtual reality, augmented reality, and neuroprosthetics to develop assistive technologies for visually impaired individuals. Recent work explores spatial localization, head rotation patterns, and AI-powered smart vision glasses. K99/R00 Pathway to Independence Grant - National Eye Institute
Tom Francart is a Professor at the Department of Neuroscience, Faculty of Medicine, KU Leuven. He leads research in auditory attention, EEG decoding, and speech processing, with affiliations to iSi Health, LBI (KU Leuven Brain Institute), and Leuven.AI. His research focuses on: Neural decoding of auditory attention using EEG Objective measures for aphasia and hearing impairment Brain-computer interfaces for hearing aids Audiovisual integration in speech perception Machine learning applications in auditory neuroscience Recent publications analyze neural tracking of speech in aphasia, transformer-based EEG decoding, and audiovisual context integration. He supervises projects on cochlear implants, attention decoding algorithms, and post-stroke recovery.
Megan Hofmann is an Assistant Professor holding dual roles at Northeastern University's Khoury College of Computer Sciences and the Department of Mechanical and Industrial Engineering (College of Engineering). She earned her PhD in Human-Computer Interaction from Carnegie Mellon University in 2022. Her research focuses on accessibility and digital fabrication, particularly in healthcare contexts, including automated machine knitting and medical making. She leads the Accessible Creative Technologies (ACT) Lab, which develops tools like Maptimizer (custom tactile maps), OPTIMISM (collaborative optimization frameworks), and KnitGIST (generative knitting design). Her work addresses challenges in assistive technology fabrication, such as creating accessible medical devices and optimizing rapid prototyping in healthcare. Recent projects include NSF-funded research on interactive smart textiles and studies on distributed manufacturing during the COVID-19 pandemic. Hofmann’s contributions span interdisciplinary domains, blending computer science, mechanical engineering, and healthcare innovation. Grants & Awards: Recipient of a $550,000 NSF grant for smart textile tools (2024). Labs: ACT Lab focuses on inclusive digital fabrication systems.
Mahanth Gowda is an Associate Professor in the Department of Computer Science and Engineering, leading a prolific research program at the intersection of mobile systems, wireless sensing, and human-computer interaction. His work has been continuously funded by the U.S. National Science Foundation since 2019, serving as Principal Investigator on four awards and Co-PI on two others, collectively spanning edge computing for XR, sign-language recognition, next-generation wireless networking, and healthcare-oriented wearables. Research Interests Millimetre-wave and ultra-wideband sensing for 3-D finger motion tracking and speech eavesdropping Edge-IoT platforms for real-time sign-language recognition and translation Neural-augmented game streaming and super-resolution on commodity mobile devices Open-source wearable systems for sports analytics and rehabilitative healthcare Security and privacy implications of motion sensors in smartphones and IoT devices Over the past five years his publication trajectory has concentrated on leveraging emerging radio modalities—especially millimetre-wave radar, Wi-Fi, and UWB—to extract fine-grained human-centric information such as finger gestures, facial micro-motions, and spoken content. A complementary thread develops edge-native machine-learning frameworks that push intelligence to resource-constrained devices, enabling immersive AR/VR experiences and assistive technologies for the Deaf and hard-of-hearing communities. Grants & Projects CAREER: Sign-to-Speech – NSF, $500k, 2021-2026; Edge-IoT platform for real-time ASL recognition. SHF: Medium: Next-Gen XR Edge Platform – NSF, $1.2M, 2022-2025; Co-PI with Das, Sivasubramaniam, Kandemir. CNS Core: IoTScope – NSF, $450k, 2020-2025; Sensing physical materials via low-cost IoT radios. CNS Core: Medium: ML-driven Next-G Wireless – NSF, $800k, 2020-2024; Co-PI with Yang and Mahdavi. I-Corps: Smart Ring for Healthcare Analytics – NSF, $50k, 2023-2025; Commercialization of finger-motion wearables. Labs & Teams Gowda directs a research group that operates at the confluence of wireless networking, embedded systems, and applied machine learning. The lab maintains active collaborations with faculty in computer architecture, augmented reality, and accessibility studies, and routinely mentors graduate researchers whose work appears in top-tier venues such as ACM MobiCom, IEEE INFOCOM, ISCA, and ACM IoTDI.
Cecily Heiner serves as an Associate Professor in the Department of Computer Systems Engineering at Oregon Institute of Technology's Klamath Falls campus, with office PV177 and contact number 541-885-1313. Her academic credentials include: PhD in Computer Science from University of Utah (2009) Master's in Computer Aided Language Learning from Carnegie Mellon University (2005) BS in Computer Science from Brigham Young University (2003) Her research focuses bridge theoretical computer science with practical applications, particularly in data-intensive systems and user-facing software development. Teaching portfolio reveals emphasis on foundational programming, database architecture, and emerging data science methodologies, suggesting applied research in educational technology and software design patterns. Prior industry experience at Microsoft's Speech Product Group informs her interest in human-computer interaction paradigms. Professional trajectory shows 8 years as Assistant Professor at Southern Utah University (2011-2019) followed by secondary computer science teaching certification (2009-2011). Current instructional responsibilities span Computer Programming I/II, GUI development, Database Systems, and Introduction to Data Science courses.
Douglass Scott is a Professor at Waseda University's School of Human Sciences in Tokyo, Japan, where he has made significant contributions to educational technology and intercultural communication research. His academic career spans over two decades with a particular focus on digital communication patterns, emotional expression in mobile media, and online education systems. He is closely associated with Waseda University's e-School, Japan's first complete undergraduate online degree program established in 2003. Dr. Scott earned his PhD in 1997 from the University of Michigan's School of Education with a specialization in Educational Foundations and Policy and Educational Technology. He also holds an MA in East Asian Studies (Japan) from the University of Michigan (1987) and a BS in Political Science from the University of Oregon (1985). His educational background includes a period at Waseda University's International Division during 1983-1984. His research primarily focuses on educational technology, information and communication technology, and intercultural communication, with special attention to how emotions are transmitted through digital channels. His work often compares Japanese and American communication patterns, particularly examining gender differences and cultural variations in mobile phone email usage. He has documented the development and implementation of Waseda University's pioneering e-School program across multiple publications. Analysis of his publication record reveals consistent scholarly contributions examining emotional expression in digital communication, with particular emphasis on how gender and cultural background influence emotional transmission through mobile devices. His research shows a clear trajectory from foundational work on educational telecommunications models to applied research on specific communication technologies in educational contexts. Dr. Scott maintains active research projects including comparative studies of mobile telephone use across countries and investigations into the role of social networks in cultural adjustment of exchange students. His work has been supported by Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research. As an educator, he teaches across multiple programs at Waseda University including the Graduate School of Human Sciences and the School of Human Sciences Online Degree Program. His teaching portfolio encompasses Information and Communication Technology courses, Academic Writing, Intercultural Communication, and English language instruction.
Taha Mansouri is a Lecturer in Artificial Intelligence at the University of Salford's School of Science, Engineering & Environment. He leads the High Performance Computing facilities within the school and chairs the Salford AI Club, an inclusive community focused on AI applications in Higher Education. Mansouri holds dual PhDs - one in Artificial Intelligence and Deep Learning from the University of Salford and another in Information Technology Management from Allameh Tabataba'i University in Iran. His research interests span multiple critical areas in modern AI development, with particular emphasis on ethical considerations in AI systems. Mansouri actively investigates fairness, explainability, and transparency in AI algorithms, with specific focus on computer vision systems and large language models. His work addresses bias in facial emotion detection across age, gender, ethnicity, and cultural backgrounds, highlighting important concerns about equity in automated systems. Mansouri's recent publications demonstrate a strong trend toward practical applications of AI for social good, including detecting mold in social housing, ethical compliance in legal AI systems, and developing AI-resilient assessment tools for education. His research bridges theoretical AI development with real-world implementation challenges across healthcare, education, and industrial applications. Fellowship of the Higher Education Academy Senior Fellowship of the Higher Education Academy Mansouri actively supervises multiple PhD students working on diverse AI applications and leads significant research projects including the £500,000 Innovate UK Smart Grant-funded Expert Legal Intelligence (ELI) project. He serves on prestigious review panels including the EPSRC Peer Review College, the EDI Hub+ Flexible Fund Peer Review College, and the British Council's International Science Partnerships Fund Review College. His grant portfolio includes projects on ethical ASR models (£30,000 collaboration), WATCH-AI benchmarking tools, and inclusive AI emotion recognition systems. As leader of the High Performance Computing facilities, Mansouri supports interdisciplinary research across the university. He also chairs the Salford AI Club, fostering collaboration among individuals from diverse backgrounds interested in AI applications, particularly in Higher Education.
Stephen Dunn serves as a Lecturer within the Dental School at the University of Glasgow, actively contributing to dental education through innovative technology integration. His work focuses on modernizing dental curricula with digital workflows and CAD/CAM systems. His research interests center on digital dentistry education, particularly the implementation of CAD/CAM technology in pre-clinical training and curriculum development. Dunn pioneers staff-student partnerships to co-create e-learning resources and integrate digital workflows into professional dental programs, addressing challenges in technology adoption and conceptual understanding of removable partial denture design. Dunn's publication record demonstrates consistent exploration of digital dental education trends since 2019, with increasing emphasis on collaborative curriculum innovation and student-centered digital resource development. His recent 2024-2025 work highlights strategic approaches to digital workflow integration in professional degree programs. No scientific awards were documented in the provided materials Dunn frequently collaborates with Robert McKerlie and other dental education specialists on technology-enhanced learning initiatives. His work involves partnerships with students to develop educational resources and implement digital workflows, though specific grant details are not provided in the source material. His research activities are centered within the University of Glasgow Dental School's educational innovation ecosystem, focusing on practical implementation of digital dentistry tools within teaching environments through conference presentations and collaborative projects.
Tuna Saka serves as Associate Professor of Architecture at Pennsylvania College of Technology's School of Construction and Architecture since 1996, holding office in ACC Room 414 (contact: tsaka@pct.edu, 570.320.2400 ext. 7767). An Autodesk Certified Instructor since 1997, he trains through the Technology Transfer Center's AutoCAD Training Center and presents for the CADSS user group. His education includes: Master of Architecture, State University of New York, Buffalo Bachelor of Professional Studies in Architecture, State University of New York, Buffalo A.A.S. in Civil Engineering Technology, Hudson Valley Community College (1983) Extensive training in Architectural Applications of AutoCAD Research centers on integrating computer technology in architectural practice, focusing on CAD management and production systems within design firms. His expertise bridges software applications like AutoCAD with real-world architectural workflows, emphasizing efficiency in drafting and design processes. His seminal 2001 publication AutoCAD for Architecture demonstrates applied research in architectural software education, reflecting consistent contributions to CAD methodology in architecture education and professional practice. Award highlights: American Institute of Architects (AIA) Foundation Scholarship Award (1987) R. Buckminster Fuller Scholarship Award (1986) Professional service includes ACADIA membership, Business/Industry/Education Statewide Advisory Committee participation, Academic Standards & Issues Governance Committee service, and PCNow Faculty Liaison duties. His 13 years of AEC industry experience inform his productivity consulting for CAD departments. He actively contributes to the AutoCAD Training Center and CADSS workshops, fostering industry-academia collaboration in architectural technology.
