David Solnet serves as Professor of Service Management and Service Work at the University of Queensland Business School. He researches service organizations with focus on employee-customer interactions, workforce development in tourism/hospitality, and generational differences in work attitudes. His applied research examines relationships between management practices, employee attitudes, and organizational performance. Recent projects focus on pandemic impacts on service workers, sustainable tourism employment, and digital transformation in service industries. Publications demonstrate expertise in service profit chain analysis, frontline employee well-being, and workforce development strategies. Current projects include the Australian Cultural Data Engine initiative and leadership development in online education.
Cristina Davis is a Professor of Mechanical and Aerospace Engineering and Associate Vice Chancellor of Interdisciplinary Research and Strategic Initiatives at the University of California, Davis. Her work focuses on developing innovative chemical sensor systems for real-world applications in health, environmental monitoring, and agriculture. She leads the BioMEMS Lab, which integrates mechanical engineering, data analytics, and chemistry to create wearable sensors, micro/nano devices, and machine learning-driven diagnostic tools. Her research has led to two startup companies commercializing UC Davis technologies. Key research areas include trace chemical detection in breath and environmental samples, biomarker discovery for human and animal health, and sensor system integration for field use. Applications span asthma monitoring, wildfire health impacts, and citrus disease detection. She has pioneered methods using exhaled breath condensate metabolomics for diagnosing infections like SARS-CoV-2 and influenza. Davis’s lab also explores bioreactor contamination monitoring and VOC-based agricultural diagnostics. Her work has been recognized with the National Academy of Inventors Fellow designation. Current projects include large-scale vaping health studies, firefighter cancer prevention initiatives, and non-invasive sex determination of chicken eggs via scent analysis. She emphasizes interdisciplinary collaboration across engineering, chemistry, computer science, and veterinary medicine. Labs: BioMEMS Lab Grants/Projects: Firefighter Cancer Prevention Projects, NIH-funded asthma monitoring systems, USDA-funded citrus disease research Technologies: Portable breath analyzers, microfluidic preconcentrators, GC-DMS systems
Andre Sharon is a Professor of Materials Science & Engineering at Boston University’s College of Engineering and Director of the Fraunhofer Center for Manufacturing Innovation. He is also affiliated faculty with the Boston University Institute for Global Sustainability (IGS). With over 20 years of experience in academia and industry, his work bridges advanced manufacturing, biomedical engineering, and automation. Sharon leads projects developing cutting-edge technologies for industries ranging from semiconductor fabrication to medical diagnostics, emphasizing practical deployment alongside academic research. Education : PhD, Mechanical Engineering, Massachusetts Institute of Technology (MIT) MS, Mechanical Engineering, MIT BS, Mechanical Engineering, Polytechnic Institute of New York Research Interests : Sharon focuses on automation systems, precision manufacturing, and biomedical applications of microfluidics. His innovations include high-precision machinery for optoelectronics, biotech, and semiconductor industries, as well as diagnostic tools like microfluidic platforms for antibiotic susceptibility testing and rapid RNA virus detection. He emphasizes translating research into deployable technologies through collaborations with industry partners. Articles Trends : His recent work spans medical device development (e.g., endoscopic tools, bacterial detection systems), sustainable manufacturing strategies, and advanced bioprinting techniques. A common theme is integrating automation and microscale engineering to solve real-world challenges in healthcare and industry. Awards : No scientific awards explicitly mentioned in the provided text. Advising & Grants : While specific grants or student advisees are not detailed here, Sharon’s role as a professor and director suggests active involvement in mentoring students and securing industry-academic partnerships. Labs/Teams : Leads the Fraunhofer Center for Manufacturing Innovation, which specializes in applied research and technology development for manufacturing sectors.
Dr. Dinakar Sagapuram is an Associate Professor in the Department of Industrial & Systems Engineering at Texas A&M University and holds the Mike & Sugar Barnes Faculty Fellowship. He is also affiliated with the Materials Science & Engineering Program. His research focuses on advanced structural materials, materials processing, and manufacturing, with an emphasis on understanding deformation mechanisms in metals and lightweight alloys. Dr. Sagapuram earned his Ph.D. in Materials Engineering from Purdue University in 2013. His work integrates analytical models, computational simulations, and experimental techniques like high-speed imaging to study micro-to-macro-scale material behavior. Key research topics include large-strain plasticity, shear band localization, and tribology. His recent articles highlight innovations in metal peeling for low-cost manufacturing, control of flow localization in machining, and in-situ stress measurements using photoelasticity. These studies advance sustainable manufacturing methods and material performance optimization. Awards: TMS Light Metals Division Magnesium Technology Award (2012), Clean Energy Trust Challenge National Runner-Up (2012). Labs/Teams: Leads a research group developing experimental and computational tools for material deformation analysis.
State University of New York at BuffaloUnited States
Ruogang Zhao is a Professor in the Department of Biomedical Engineering at the University at Buffalo, affiliated with the School of Engineering and Applied Sciences. His research focuses on cytoskeleton mechanics, cell motility, and the molecular basis of pulmonary diseases. He leads studies on engineered tissue models (e.g., lung microtissues) to investigate fibrosis mechanisms and develop anti-fibrosis therapies. Dr. Zhao’s work integrates 3D bioprinting, organ-on-a-chip systems, and mechanobiology to address challenges in regenerative medicine and disease modeling. Key research areas include: Development of biomimetic microtissue platforms for drug screening Role of mechanical forces in macrophage activation and fibrosis progression 3D printing of hydrogels with tunable mechanical properties for biomedical applications Effects of e-cigarette components on lung fibroblast behavior and repair processes His recent work emphasizes translational research, such as force-sensing microfabricated devices and lung-targeted nanotherapeutics. Dr. Zhao’s contributions span biomaterials science, immunology, and mechanobiology, with applications in respiratory disease and cancer therapy. He directs the Cell, Gene and Tissue Engineering Center at the University at Buffalo, fostering interdisciplinary collaboration in bioengineering.
Professor Pasi Kallio is a faculty member in the Department of Biomedical Technology at Tampere University. His expertise spans biomedical engineering, microrobotics, and materials science. He holds a Doctor of Science (Technology) in Automation Engineering (2002) and a Master of Science (Technology) in Automation Engineering (1994), both from Tampere University. His research focuses on organ-on-chip systems, microfluidics, and cell culture technologies. Notable contributions include developing user-friendly microfluidic devices for liver zonation studies and novel hydrogel platforms for celiac disease modeling. He has also pioneered microrobotic techniques for fiber characterization and tissue engineering applications. Kallio has received the Automaatiopalkinto 2009 award for his work on automating biological cell handling. He actively engages in academic service, including reviewing for journals, conference participation, and serving as an opponent for doctoral theses. His work contributes to UN Sustainable Development Goals related to health and innovation. Key research outputs include over 240 publications, with recent emphasis on neuroinflammatory models, bio-based composites, and molecular communication systems. He leads interdisciplinary teams addressing challenges in tissue engineering, microscale robotics, and biomedical diagnostics.
Gordana Vunjak-Novakovic is the Mikati Foundation Professor of Biomedical Engineering and Professor of Medical Sciences at Columbia University, where she also serves as Vice-Chair of the Department of Biomedical Engineering. She directs the Stem Cell and Tissue Engineering Laboratory and co-directs the NIH Tissue Engineering Resource Center and Craniofacial Regeneration Center. Education: PhD in Chemical Engineering (University of Belgrade, 1980) Research Focus: Engineering functional human tissues using stem cells, biomaterials, and bioreactors for regenerative medicine Awards: National Academy of Engineering (2012), Clemson Award (2010), Women in Technology International Hall of Fame (2008), NIH Director’s Lecture (2007) Her work spans organ-on-a-chip platforms for heart, lung, bone, and skin, with emphasis on disease modeling and drug screening. She has pioneered perfused bioreactors for vascularized tissues and chiral cell morphogenesis studies. Publications include 300+ articles and 53 patents. Scientific leadership roles include: Fellow, American Institute for Medical and Biological Engineering Editorial advisory boards for 12 journals NIH study section chair Executive committee member, Columbia Stem Cell Initiative
Dr. Cristiano Palego is a Senior Lecturer in Microwave Instrumentation at the School of Computer Science and Engineering, Bangor University. His research bridges microwave engineering, biosensor development, and environmental monitoring, with a focus on insect telemetry and cancer cell analysis. Key affiliations: SUMCASTEC (EU-funded), KESS II (PhD projects), and collaborations with S&A Fresh Produce Ltd and Cardiff University. Research Interests span microwave biosensors for cellular analysis, machine learning in insect behavior classification, and electromagnetic interactions with cancer stem cells. His work addresses UN Sustainable Development Goals in environmental conservation and health innovation. Scientific Contributions include advancements in: Microwave-based bee-tracking systems Glioblastoma organoid exposure studies MEMS phase shifters for biomedical applications Dielectrophoretic cell discrimination Recent Publications (2022–2024) highlight trends in integrating machine learning with microwave and radar systems for: Honeybee behavior classification Automated pollination monitoring High-frequency cancer cell analysis Awards & Recognition include contributing to Bangor University's 2023 Queen's Anniversary Prize-winning research on societal impact. Supervision : Open to advising PhD students in microwave biosensing, entomology, and biomedical device development.
Professor Zengbo Wang is a Professor in Imaging and Laser Micromachining at Bangor University's School of Computer Science and Engineering, with additional responsibilities as a Leverhulme Trust Research Fellow (2022-2023). He holds visiting professorship at Northeastern University (USA) and previously served as Lecturer at University of Manchester. His educational background includes a BSc/MSc in Physics from Xiamen University and PhD in Electrical Engineering from National University of Singapore. Wang's research integrates AI/deep learning with photonics, focusing on: Super-resolution microscopy innovations including microsphere/nanoparticle superlens technologies (featured in Nature Communications and Science Advances) Laser-based nano-manufacturing for industrial applications using femtosecond/UV lasers Metamaterial optical filters and fiber-optic quantum sensing systems Photonic design automation through neural networks (CNNs, GANs) for biological imaging His work consistently targets resolution enhancement, with recent articles showing 50-100nm imaging capabilities. Publications reveal three dominant themes: Advancements in super-resolution techniques using dielectric/biological materials (33% of recent works) AI-driven photonic inverse design for nanofabrication (27%) Hybrid laser-optical systems for sensing/security applications (40%) This demonstrates evolution from fundamental optics toward applied AI-photonics convergence. Honors and Leadership Leverhulme Trust Research Fellowship (2022) for AI-assisted nanoscopy Elected Optica Senior Member (2017) Research Excellence Award Finalist (Bangor University, 2016) Royal Academy of Engineering Poster Prize (2011) Wang mentors doctoral candidates in photonics/AI fields and directs multiple grants including: £45k Innovate UK project for superlens anti-counterfeiting systems £20k NERC study on ozone impact using superlens imaging Pan-Wales Centre for Photonics Expertise (CPE) industrial partnerships He leads the Laser Photonics Research Group with specialized facilities: environmental SEM with E-beam lithography, femtosecond laser systems, and 3D laser scanners. Current projects focus on AI-assisted nanoscale imaging platforms.
Jens Frederik Dalsgaard Nielsen is an Associate Professor at the Department of Electronic Systems, Aalborg University, within The Technical Faculty of IT and Design. He leads research in mixed-criticality systems, airborne computing architectures, and aerospace engineering education. His work integrates interdisciplinary collaboration with hands-on project-based learning. Primary affiliations: Automation & Control Group, Green Lab, and Aalborg University Space Center Research focuses on: Mixed-criticality system architectures for aerospace applications Real-time multiprocessor systems and on-chip networks Student satellite projects (e.g., AAUSAT series) Interdisciplinary PBL in engineering education Recent work emphasizes reliable airborne systems and platform architecture designs for aerospace applications. His contributions to CubeSat technologies have been highlighted in international media. Awards: 2025 Novo Nordisk Foundation Prize for Excellence in Technical Science Teaching Active in industry collaborations and international space education initiatives, including leadership roles in the DISCO student satellite program.
Ling Hao is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Maryland, specializing in Analytical Chemistry with a focus on Mass Spectrometry, Proteomics, Metabolomics, and their applications in Neurodegenerative Diseases and Cellular Biology. Their research integrates advanced mass spectrometry techniques with systems biology approaches to study lysosomal function, mitochondrial dynamics, and neuronal pathology. The HaoLabMS investigates molecular mechanisms underlying neurodegenerative disorders such as ALS and Alzheimer’s disease, emphasizing the role of protein quality control and metabolic pathways. Key research areas include: Development of novel quantitative proteomic and metabolomic methodologies Lysosome transport mechanisms in neurons Mitochondrial dysfunction in neurodegeneration Biomarker discovery for neurological diseases Proximity labeling proteomics for protein interaction mapping Recent work has focused on improving analytical workflows for multi-omics integration and contaminant removal, as well as characterizing lipid metabolic alterations in genetic neurodegenerative models. Their lab has pioneered methods like ContamSPOT and iDiLeu labeling for enhanced data reliability and metabolite quantification. Grant activities include NIH-funded projects on lysosomal biology and neuroprotection mechanisms. The lab collaborates with institutions globally to advance translational mass spectrometry applications in precision medicine and disease modeling. Lab activities: The HaoLabMS operates within the University of Maryland’s state-of-the-art proteomics facility, maintaining active collaborations across chemical, biomedical, and computational disciplines. Current projects include developing cross-platform normalization strategies for multi-omics data and exploring autophagy regulation in neuronal health.
Chiara Fedele is a Senior Research Fellow at Tampere University and Grant Coach in the Preaward team, supporting EU funding initiatives. Her research focuses on light-responsive materials for cell-material interactions, combining engineering and biology. She holds a PhD from Istituto Italiano di Tecnologia and University of Naples 'Federico II', with postdoctoral work in the Smart Photonics Materials (SPM) group under Prof. Arri Priimägi. Key research areas include azobenzene-based materials, photomechanical effects, and cell migration control via surface topography. She employs advanced techniques like atomic force microscopy, digital holography, and confocal imaging. Her career spans from materials engineering (BSc/MSc at University of Naples) to interdisciplinary biomaterials research. She collaborates closely with Tampere University's MET faculty and has secured funding from the Finnish Cultural Foundation. Recent work emphasizes light-controllable systems for biomedical applications, such as cell alignment platforms and neural axon guidance in microfluidic devices. Publications highlight innovations in azobenzene materials, including optical control of bio-interfaces, light-induced calcium signaling, and surface patterning. Her contributions bridge materials science with cell biology, aiming to develop dynamic tools for regenerative medicine and tissue engineering.
Stefan Johann Rupitsch is a Professor at the University of Freiburg, leading the Professorship for Electrical Measurement Technology and Embedded Systems since December 2020. He holds a prominent role in academic and industrial research collaborations, focusing on interdisciplinary fields such as sensor systems, biomedical engineering, and embedded technologies. His work bridges theoretical research with practical applications, including drug delivery systems, environmental monitoring, and disaster response technologies. **Education**: Information not explicitly provided in the text. **Research Interests**: His primary research areas include wireless sensor networks, ultrasound imaging for biomedical applications, magnetic nanoparticle localization, and energy-efficient embedded systems. He has pioneered advancements in magnetomotive ultrasound for drug targeting and developed innovative sensor platforms for industrial and environmental monitoring. His projects often integrate machine learning and robotics to enhance system precision and autonomy. **Projects**: As a project manager or coordinator, he oversees initiatives such as wireless microsensor probes for tree canopy monitoring (B1), cochlear implant sensing (CIAS), and disaster-site radar systems (avaRES). Recent efforts focus on sustainable sensor technologies for wear part optimization (Smart Belt) and gas infrastructure resilience (LEAKALERT). **Grants & Advising**: Rupitsch has supervised numerous theses in fields like sensor design, AI for building acoustics, and earthquake monitoring. He actively participates in reviewing academic works and industry projects, reflecting his leadership in technical communities. **Labs & Teams**: His research is conducted through collaborations with the Microsystems for Biomedical Imaging Laboratory and the Sustainability Performance Center, emphasizing interdisciplinary teamwork and real-world impact.
Professor Lei Su at the School of Engineering and Materials Science, Queen Mary University of London , specializes in photonics with applications spanning healthcare, energy, and security . His work integrates optical devices, optoelectronic materials , and artificial intelligence to advance sensing, imaging, and communication technologies. His research explores multimode fiber optics , perovskite materials , and deep learning-driven photonic systems , focusing on challenges like shape sensing , soliton dynamics , and stability enhancement in optoelectronic devices. Key trends include biomimetic photonics , scalable manufacturing , and AI-enabled signal processing . Professor Su has secured substantial funding from EPSRC , BBSRC , and Innovate UK for projects such as Clock-Chips and Wearable ultrasound sensors . His collaborations emphasize interdisciplinary innovation , bridging materials science , nanotechnology , and biomedical engineering .
Dr. Saraju P. Mohanty is a Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where he leads the Smart Electronic Systems Laboratory (SESL). He holds honorary and adjunct positions at IIIT-Naya Raipur, MNIT Jaipur, and Oriental University, Indore, in India. Education: Ph.D. in Computer Science and Engineering, University of South Florida (USF), 2003 Masters in Systems Science and Automation (AI), Indian Institute of Science (IISc), 1999 B.E. in Electrical Engineering (Honors), College of Engineering and Technology, Bhubaneswar (OUAT), 1995 Dr. Mohanty's research is centered on Smart Electronic Systems, with a strong focus on IoT, VLSI, hardware security, and healthcare applications. His work integrates machine learning, embedded systems, and nanoelectronics to develop secure and efficient solutions for smart cities, agriculture, and medical devices. He has authored over 550 peer-reviewed publications and five books, including a PROSE Award-winning textbook. His recent publications reflect a growing emphasis on AI-driven solutions for synthetic media detection, smart farming, driver monitoring, and personalized health. These works demonstrate a trend toward intelligent, edge-based systems that leverage sensor data and lightweight AI for real-time decision-making. Scientific Awards and Honors: Fulbright Specialist Award (2021) IEEE Consumer Electronics Society Outstanding Service Award (2020) IEEE-CS-TCVLSI Distinguished Leadership Award (2018) PROSE Award for Best Textbook (2016) Top 2% Scientist globally (PLOS Biology, 2019–2022) Multiple Best Paper and Best Poster Awards UNT Toulouse Scholars Award (2016–2017) President’s Scout Award, India (1988) Dr. Mohanty has supervised 3 postdocs, 18 Ph.D. students, 29 M.S. theses, and over 40 undergraduate research projects. Eleven of his advisees have received outstanding student awards. He has received multiple UNT Provost’s Thank a Teacher and Honors Day recognitions. His research has been funded by NSF, SRC, US Air Force, NIDILRR, and Mission Innovation. He has held key editorial roles, including Editor-in-Chief of IEEE Consumer Electronics Magazine and founding EiC of IEEE VLSI Circuits and Systems Letter. He is actively involved in IEEE leadership and conference organization, serving on steering committees for IEEE-iSES, ISVLSI, and OCIT. Laboratories and Teams: He directs the Smart Electronic Systems Laboratory (SESL) at UNT, which focuses on cutting-edge research in IoT, edge computing, hardware security, and smart healthcare. The lab fosters interdisciplinary collaboration and has produced numerous award-winning student projects and publications.
