Dr. Chanchal Kaushik is a Lecturer in Radiography at the University of Salford's School of Health & Society, affiliated with the Centre for Applied Health Research. She joined in 2023 after previous academic positions in India and Bournemouth, bringing 11 years of international experience focused on equity and inclusion in healthcare education. Her research examines: Radiation dosimetry optimization and safety protocols Health technology assessment for diagnostic imaging AI applications for data variability analysis Real-time feedback systems in medical imaging Quality improvement in health services Recent publications (2020-2024) demonstrate consistent focus on medical imaging optimization, radiation dose management, and educational innovation. Work spans technical evaluations of PET-CT systems, patient dose monitoring frameworks, and novel teaching methodologies in radiography education. Awards and recognitions: Active Researcher Excellence Award (2020) £9,300 grant as Co-PI for AI segmentation research (2024-2025) Fellow of Advance HE (2025) Peer reviewer for Radiography Journal and Radiation and Environmental Biophysics Leads research-informed teaching modules across all academic levels in radiography, including Scientific Principles for Diagnostic Radiography, Research Methods, and Masters Dissertation supervision. Contributes to UN Sustainable Development Goals through medical imaging innovation.
Adel Mhamdi is a Professor at RWTH Aachen University's Department of Chemical Engineering within the Faculty of Mechanical Engineering. His research focuses on process systems engineering with emphasis on nonlinear model predictive control, hybrid modeling, and sustainable process design for chemical and biochemical systems. He leads research in electrified biodiesel production, distillation optimization, and polymerization process control. His research interests span chemical process control, biodiesel production optimization, distillation modeling, hybrid mechanistic-data-driven approaches, polymerization processes, and heat transfer optimization. Mhamdi develops advanced control strategies including economic NMPC, distributed control architectures, and chance-constrained optimization to address challenges in flexible operation of energy-intensive processes. His work integrates computational fluid dynamics with process modeling for reactor design and optimization. Analysis of his recent publications reveals strong trends in electrification of chemical processes, particularly biodiesel production with heat integration. His research increasingly incorporates machine learning for hybrid modeling and employs advanced computational techniques like Bayesian optimization for reactor geometry design. Key application areas include renewable energy systems, polymer manufacturing, and separation processes. Mhamdi actively supervises doctoral researchers including M. El Wajeh, J.M. Faust, and P.J. Joy who appear as first authors on multiple publications. His research group collaborates extensively with the Mitsos group at RWTH Aachen, securing publications in top journals including Industrial & Engineering Chemistry Research and Computers & Chemical Engineering . Current projects focus on real-time optimization of electrified processes and development of open-source modeling platforms like HybridML.
Manuel Woschank is a Senior Lecturer at Montanuniversität Leoben, affiliated with the Chair of Industrial Logistics. He holds academic degrees including a Diplom-Ingenieur (FH), MSc, and Dr.sc.admin., and serves as Deputy Chair and contact for international cooperation. Education: Dipl.-Ing. (FH), MSc, Dr.sc.admin. His research focuses on Industrial Logistics and Circular Economy integration in SMEs, Industry 4.0/5.0 technologies for sustainability, and Competence-Based Education frameworks. Recent work addresses decarbonization strategies, digital twins, and real-time data in production planning. Key trends in his publications include reverse logistics in circular economy adoption, competence barriers in SMEs, and digitalization in logistics education. He contributed to projects like 'Engineering Excellence for the Mobility Value Chain' (EE4M) and 'CoR-ILog.' Woschank co-developed the LogiLegoLab , a problem-based learning approach for logistics education. He actively explores human-centricity in Industry 5.0 and cross-regional competence studies (Asia, Central Europe).
Orlando Hernandez is an Associate Professor in the Department of Electrical and Computer Engineering at The College of New Jersey. He holds a Ph.D. in Electrical Engineering from Southern Methodist University (2002), an M.S.E.E. (1993) and B.S.E.E. (1991) from the University of South Florida. Prior to his academic career, he held industry positions at Texas Instruments and Maxim Integrated Products from 1993-2003, serving in design management roles for imaging systems, ASIC development, and microcontroller technologies. His research focuses on high-performance VLSI architectures for computer vision applications, including color image segmentation, digital signal processing, embedded systems, and mixed-signal design. Key research areas include hardware acceleration for image compression algorithms, real-time traffic monitoring systems, autonomous robotics, and advanced encryption implementations. His work consistently bridges theoretical algorithms with practical hardware implementations. Professional affiliations include Senior Membership in the Institute of Electrical and Electronics Engineers (IEEE). He has secured multiple research grants including a $93,320 National Science Foundation award for image processing instrumentation and several industry-sponsored equipment grants from Texas Instruments and Xilinx.
Didier Demolin is a Professor at Grenoble Alpes University (formerly Université Stendhal) and researcher at Gipsa-lab in Grenoble, France, holding this position since 2010. Previously, he was Professor at Université Libre de Bruxelles (2003-2010) and held visiting professorships at Universidade de São Paulo, Brazil (2003-2007, 2013). His career began in 1982 with field research in Rwanda, followed by work at the American Museum of Natural History and Harvard Ituri project. Education: PhD in Linguistics, Université Libre de Bruxelles (1992) Professor Demolin's research focuses on experimental phonetics and laboratory phonology, with extensive fieldwork on African languages and Sub-Saharan phonetics. His interdisciplinary work bridges speech production mechanics, evolution of language, primate vocalizations, and ethnomusicology. He has pioneered MRI applications in articulatory phonetics and investigated phonological universals through understudied languages. His publication trends reveal consistent innovation in speech imaging techniques (particularly real-time MRI), analysis of rare phonetic phenomena like palatal implosives, and theoretical contributions to phonological emergence. Work spans acoustic analysis of nasal vowels, cross-linguistic phonetic patterns, and evolutionary frameworks for speech development, often integrating biological and cultural perspectives. Scientific Awards: Freeman Prize, University of Massachusetts, Amherst (2010) Francqui chair, Belgium (2009-2010) Coup de cœur de l’Académie Charles Cros (2004, 2007) Membre titulaire de l’Académie Royale des Sciences d’Outre-Mer de Belgique (2004) Prix de l’International Phonetic Association (1999) Choc du Monde de la Musique (1990-1992) Prix de la Fondation belge de la Vocation (1982) Professor Demolin has received no documented research grants in available sources and no doctoral students are listed in public records. His advising activities remain unreported in institutional documentation. As a core researcher at Gipsa-lab, he leads MRI-based speech production studies within interdisciplinary teams combining signal processing, linguistics, and biomedical engineering. His lab collaborations focus on real-time articulatory imaging, biomechanical modeling of vocal tract dynamics, and cross-species vocalization comparisons to elucidate speech evolution.
Sidney S. Fels is a Professor at the University of British Columbia, affiliated with the Human Communication Technologies Lab in Vancouver. His research spans Human-Computer Interaction (HCI), Virtual Reality, Biomechanical Engineering, Speech Synthesis, and Medical Imaging. He focuses on innovative interfaces, surgical simulation, and AI-driven educational tools. Recent work includes advancements in touch interaction systems (e.g., HaloTouch), chatbot-assisted learning, and biomechanical modeling for medical applications. His research interests emphasize bridging computational models with real-world applications, particularly in healthcare and education. Notable contributions include contributions to CHI conferences, SIGGRAPH, and INTERSPEECH, showcasing work on AI ethics in learning environments, vocal tract modeling, and pervasive computing systems. Fels collaborates extensively with researchers in engineering, medicine, and computer science, reflecting his interdisciplinary approach to solving complex human-centric challenges. Labs/Teams: Human Communication Technologies Lab at UBC.
Valiulis Gediminas serves as an Associate Professor at Vilnius University's Šiauliai Academy within the Department of Informatics Engineering. His academic career spans both engineering fundamentals and advanced environmental applications, with a pronounced shift toward bioaerosol monitoring and computer vision systems since 2018. His research interests focus on Environmental Informatics and Automatic Bioaerosol Detection , particularly developing computer vision models for pollen classification using light scattering techniques. This work bridges Environmental Science , Computer Vision , and Public Health through real-time pollen monitoring systems that serve allergy sufferers. His methodology combines fluorescent particle analysis , clustering algorithms , and sensor calibration to advance aerobiological research. Analysis of his publication trends reveals a strategic evolution: early work (2004-2012) centered on control systems engineering (granulation processes, microinverters), while recent output (2018-2024) demonstrates deep specialization in bioaerosol informatics . Key contributions include the Rapid-E particle counter validation, ozone-pollen interaction studies, and real-time pollen forecasting systems for clinical applications. His interdisciplinary approach connects atmospheric science with machine learning to solve environmental monitoring challenges. Automatic pollen recognition systems development Fluorescent bioaerosol characterization Real-time environmental data applications Computer vision for ecological monitoring While no formal advising relationships or scientific awards are documented in the source material, his collaborative research consistently involves multi-institutional teams across Lithuania and Europe. Current projects focus on enhancing bioaerosol sensor accuracy and developing clinical decision-support tools for allergy management through real-time environmental data integration.
Omid Maghazei is a Lecturer (Assistant Professor) at the University of Bath's School of Management, with affiliations to the Centre for Future of Work, The Foundry: Centre for Digital, Manufacturing & Design, Smart Warehousing and Logistics Systems, and Information, Decisions & Operations. He holds a Doctor of Science in Management, Technology, and Economics from ETH Zürich (2016–2021). His research focuses on digital transformation, emerging technologies in manufacturing (e.g., drones, mixed reality), Industry 4.0, and servitization. He explores topics like technology piloting frameworks, human-technology cooperation, and supply chain innovation through case studies in sectors like healthcare and construction. His work contributes to UN Sustainable Development Goals related to industry, innovation, and infrastructure. He is actively advising doctoral students and contributes to academic communities via conference proceedings and peer-reviewed journals. Education: PhD in Management, Technology & Economics (ETH Zürich, 2021) Affiliations: Centre for Future of Work, The Foundry, Smart Warehousing Systems Research interests prioritize practical applications of cutting-edge technologies in manufacturing processes, emphasizing digital transformation strategies, human-centric factory design, and agile development methodologies. His work bridges theory and practice through collaborative projects with industry partners like IKEA and piping system manufacturers. Publications highlight themes like drone adoption in warehouses, mixed reality applications on shop floors, and frameworks for human-technology collaboration. He advocates for innovative pilot testing approaches to ensure scalable technology integration. Advising and grants: Accepting doctoral candidates focusing on emerging technologies and manufacturing systems. No specific grants listed but engaged in cross-disciplinary research initiatives. Labs/Teams: Part of interdisciplinary teams at The Foundry and Smart Warehousing, collaborating on digital manufacturing and logistics innovations.
Chen-Yi Lu is a Graduate Research Assistant at Purdue University's Department of Agricultural & Biological Engineering under Major Professor Chaterji. His research bridges digital agriculture and data science. University: Purdue University Department: Agricultural & Biological Engineering Advisor: Professor Somali Chaterji His work focuses on applying artificial intelligence, machine learning, and Internet-of-Things (IoT) to agricultural systems. Key areas include automated pest monitoring, anomaly detection in animal behavior, and AI-driven decision-support tools for sustainable food production. Recent publications highlight his expertise in deep learning for real-time agricultural monitoring systems, generative adversarial networks (GANs) for data augmentation, and AIoT-based solutions for pest management. His research spans interdisciplinary domains like computational modeling, sensor networks, and digital ecosystem design. Chen-Yi Lu's contributions emphasize integrating scalable databases and machine learning with agricultural safety, automation, and environmental stewardship. Current projects involve optimizing data flow for precision agriculture and developing cloud/edge computing platforms to enhance rural disaster response systems.
Nitin Williams is a Visiting Professor in the Department of Neuroscience and Biomedical Engineering. His research focuses on brain connectivity, aging, and neuroimaging techniques like MEG and fMRI. He has contributed to understanding functional connectivity dynamics, age-related neural changes, and computational models of brain networks. Recent work includes studies on TMS-evoked potentials, phase synchronization in resting-state networks, and discrete Ricci curvatures to analyze brain networks. He has collaborated internationally, including a visiting research stint at the Institute of Mathematical Sciences in India. Williams is an active member of academic communities, serving on editorial boards for journals like Frontiers in Computational Neuroscience and Network: Computation in Neural Systems . His datasets, including connectome analyses and biophysical models, highlight computational approaches to neuroscience challenges. Key research themes include: (1) Aging’s impact on neural plasticity and connectivity, (2) Biophysical modeling of phase synchronization, (3) Multimodal neuroimaging integration, and (4) Applications of graph theory in brain network analysis.
Seppo Sierla is a University Lecturer at Aalto University's Department of Electrical Engineering and Automation within the School of Electrical Engineering. His expertise spans software engineering, automation systems, and human-computer interaction. He has been repeatedly recognized for his teaching excellence, notably receiving multiple Recognition Awards for bachelor-level courses such as Automation Systems 1 (2019-2020), Automation Software Projects (2018-2019), and Automation 1 (2017-2018). These awards highlight his impactful contributions to curriculum development and student engagement in automation education. His research focuses on industrial automation technologies, including digital twins, reinforcement learning applications in energy systems, and process optimization. Notable projects include physics-informed modeling in steel manufacturing and energy-efficient district heating systems. He also explores cloud-based MLOps frameworks and renewable energy time-shifting strategies for photovoltaic systems. Key Research Themes : Industrial process automation, digital twin integration, reinforcement learning for energy systems, and sustainable manufacturing. Recent Contributions : Over a dozen peer-reviewed publications since 2021, addressing topics ranging from steel production modeling to HVAC frequency control. Dr. Sierla's work bridges academic research and industrial applications, emphasizing practical implementations in sectors like manufacturing and energy. His teaching and research synergize to advance automation education and technological innovation.
Adam Irving is a Senior Research Fellow at Monash University's Centre for Health Economics, specializing in health economics and decision modeling. He holds a PhD in Health Economics from Monash University (2020), an MSc in Health Economics & Decision Modelling from the University of Sheffield (2013), and a BEconSc in Economics from the University of Manchester (2009). His research focuses on optimizing healthcare resource allocation, particularly in haematology and blood transfusion practices. He leads the EpiMAP Myeloma project, developing disease pathway models for multiple myeloma using national registry data. Current Projects: Lead modeller for EpiMAP Myeloma (2024–2028) Chief Investigator in GLAM Study (Genomic Liquid Biopsy Analysis for Myeloma, 2024–2028) Co-Investigator in multiple blood management projects (e.g., OPTIMAL Immunoglobulin study) His research interests span economic evaluations of clinical interventions, blood resource stewardship, and translational oncology economics. Recent work includes analyzing transfusion practices in cardiac surgery and sickle cell disease burden in Australia. Publications highlight his expertise in cost-effectiveness analysis, disease modeling, and healthcare system optimization. Ongoing projects aim to refine guidelines for platelet transfusions and immunoglobulin use, with direct implications for UN SDG 3 (Good Health and Well-being). Grants & Collaborations: Projects funded by Australian research councils and partnerships with clinicians, statisticians, and industry Active collaborations across haematology, critical care, and public health disciplines Labs/Teams: Central role in Monash’s Health Economics Centre and cross-faculty teams for disease modeling and translational research.
Shuchi Deb is an Associate Professor of Industrial, Manufacturing, and Systems Engineering at the University of Texas at Arlington, where she has served since 2019 and was promoted to Associate Professor in September 2024. She directs an active, grant-funded research program that blends human-factors engineering, virtual & augmented reality, and transportation safety to improve human-system interaction across manufacturing, education, and public-safety domains. Education: Ph.D. in Industrial & Systems Engineering, Mississippi State University, 2017 M.S. in Industrial and Management Engineering, Montana State University, 2014 B.Sc. in Industrial and Production Engineering, Shahjalal University of Science & Technology (Bangladesh), 2006 Research & Innovation: Deb’s scholarship focuses on human-centred design of complex socio-technical systems. She exploits immersive technologies—virtual, augmented and mixed reality—to study and enhance safety, training transfer, and user experience in contexts ranging from automated-vehicle interactions and cyclist–infrastructure compatibility to additive-manufacturing education and police reality-based training. Her work repeatedly integrates psychophysiological sensing (EEG, eye-tracking, facial-expression analysis) with usability engineering to create adaptive, trustworthy human-machine interfaces. Recent federally supported projects include an NSF grant to build a bilingual VR platform for additive-manufacturing education ($837 k), a USDOT project developing a driver-readiness monitor for prolonged automated driving, and a Department of Justice award with the Fort Worth Police Department to create VR-based reality training scenarios ($269 k). These grants exemplify her translational approach: coupling rigorous human-factors experimentation with deployable technological solutions. Scientific Recognition: Outstanding Contribution & Mentorship Award, UT Arlington (2024) Best Graduate Student Paper, Mississippi State University (2017) IIE/FlexSim Simulation Competition Winner (2016) SEMS Best Student Paper, IISE (2016) Annual Ergonomics Design Competition, Auburn University (2015) Advising & Grant Leadership: Deb has chaired or served on more than a dozen Ph.D. and M.S. thesis committees and mentored over twenty undergraduate researchers. Since 2019 she has attracted > US $2.3 million in external funding as PI or Co-PI, supporting a broad cohort of graduate researchers who disseminate their work annually at ASEE, IISE, HFES, TRB, and AHFE conferences. Labs & Teams: She founded and advises the Human Factors Lab at UT Arlington, a shared facility equipped with VR headsets, motion-capture systems, driving and cycling simulators, and psychophysiological recording suites. The lab collaborates with industry (Fort Worth Police, local manufacturers) and across campus (Computer Science, Mechanical & Aerospace Engineering) to provide interdisciplinary training to students.
Dr. Enda Bates is an Assistant Professor and Deputy Course Director in the Music and Media Technologies Programme at Trinity College Dublin. He leads research in spatial music, spatial audio for VR, and electroacoustic aesthetics while maintaining active roles as a composer, producer, and performer. His work bridges academic and artistic domains, with notable contributions to immersive media, accessibility in health data design, and interdisciplinary digital humanities projects. Educated at Trinity College Dublin, he completed a PhD titled *The Composition & Performance of Spatial Music* in 2010. His research has been supported by grants from Trinity College Dublin and Rode Microphones, focusing on projects like the Trinity 360 initiative producing immersive 360-degree music videos. He collaborates widely, including with the Spatial Music Collective and on virtual reality adaptations of Samuel Beckett’s works. Research interests span spatial audio technologies, VR audio design, and the aesthetics of contemporary electroacoustic music. He explores the intersection of sound and technology in performance contexts, such as augmented instruments and site-specific compositions. His work on accessibility includes evaluating health data representations for older adults, emphasizing user-centric design principles. Recent publications highlight advancements in ambisonic decoder methodologies, VR audio systems, and interdisciplinary arts. Awards include the Gaudeamus Music Prize shortlist (2009) and Música Viva Competition Prize (2010). His music has been performed globally by ensembles like the RTÉ National Symphony Orchestra and Crash Ensemble. Bates advises on audio engineering projects and leads collaborative initiatives like *Virtual Play, after Samuel Beckett*, merging theater, VR, and sound design. His lab’s work often explores the technical and creative potentials of 360 media and free-viewpoint video.
R.P. Kingsly Ambrose is a Professor in the Department of Agricultural & Biological Engineering at Purdue University, where he also serves as a University Faculty Scholar. His research focuses on particle technology applications in food, pharmaceutical, and biological process engineering, with an emphasis on powder flow, dust explosion prevention, and process modeling. He leads the Center for Particulate Products and Processes (CP3), equipped with advanced facilities like particle characterization tools (Malvern Morphologi G3-ID), a powder rheometer, and pilot-scale hoppers. His work addresses challenges in grain handling, safety, and sustainable agricultural practices. Recent projects include developing hermetic storage solutions, optimizing fertilizer design, and enhancing grain drying technologies. Ambrose collaborates with industry and academia to advance food safety, agricultural efficiency, and disaster mitigation strategies. His contributions span over 100 peer-reviewed publications and include innovations in dust monitoring systems and granular material behavior modeling.
