جست‌وجوی استاد و پژوهشگر

Michael S Harrisمشاهده پروفایل

دانشیار

• Cochlear Implants
• Neurotology
• Otology
• +۳ مورد دیگر

Michael S Harris, MD is an Associate Professor and Chief in the Department of Otolaryngology and Communication Sciences at the Medical College of Wisconsin. He maintains clinical practice at Froedtert Hospital, Children's Wisconsin, and the Zablocki VA Medical Center in Milwaukee, specializing in Otolaryngology and Neurotology with expertise in adult and pediatric hearing restoration and skull base disorders. His educational background includes: Doctor of Medicine (MD) from Medical College of Wisconsin (2009) Fellowship in Neuro-otology at The Ohio State University (2015-2017) Residency in Otolaryngology at Indiana University (2008-2015) Dr. Harris' research centers on speech perception in cochlear implant users, electrophysiologic monitoring during implant surgery, and vestibular/skull base disorders. His clinical work focuses on cochlear implants, bone-anchored hearing aids, brainstem implants, and surgical management of acoustic neuromas, Menière's disease, and facial nerve paralysis. He employs a team-based approach with audiologists and nurse practitioners to deliver personalized care through patient education and shared decision-making. Analysis of his 2024-2025 publications reveals dominant themes in cochlear implant outcomes (speech recognition, hearing preservation, rehabilitation), digital otoscopy innovation, Menière's disease therapeutics, and skull base tumor biomechanics. His collaborative research frequently involves multi-institutional teams addressing clinical prediction models, surgical techniques, and systematic reviews of hearing loss interventions. Dr. Harris serves as a board-certified specialist in Otolaryngology and Neurotology, treating patients across the lifespan from infants to seniors through clinics at Froedtert Hospital and Drexel Town Square Health Center. His practice philosophy emphasizes comprehensive assessment, clear communication of diagnoses in accessible terms, and ensuring patient comfort with treatment plans.

Umer Hassanمشاهده پروفایل

دانشیار

• Micro/Nano Sensing
• BioMEMS
• Disease Diagnostics and Therapeutics
• +۷ مورد دیگر

Dr. Umer Hassan is an Associate Professor in the Department of Electrical and Computer Engineering at Rutgers University, with a secondary appointment at the Global Health Institute. He leads the Laboratory for Immuno-Mediated Precision Health (LIMPH), focusing on developing point-of-care biosensors for global health applications. His research integrates engineering, immunology, and machine learning to address challenges in disease diagnostics, particularly sepsis and HIV/AIDS. Education: Ph.D. and M.S. in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign (2012–2015), B.Sc. in Electrical Engineering from UET Lahore (2004–2008). Research Interests: Micro/nano sensing technologies, bioMEMS, personalized medicine, immuno-engineering, and global health equity. His work emphasizes translational research, with over 40 journal articles and significant external funding from NSF, ONR, and NIH. Selected Awards: Brandt Early Career Investigator Award (2017), Baxter Young Investigator Award (2016–2017), NSF I-Corps Fellowship (2014), and Moos-Miller Early Career Award (2022). He co-founded Prenosis, Inc. to commercialize biosensor technologies. Advising & Grants: Supervised 9 graduate students and 4 postdoctoral researchers. Secured over $2.6M in grants, including NSF PFI-TT (2023) and ONR CNS-Oxygen Toxicity (2024). Notable projects include smartphone-enabled fluorescence microscopes and magnetic phagocyte biosensors. LIMPH Lab: Specializes in multiplexed biomarker detection, eco-friendly nanoparticles, and predictive computational systems for personalized diagnostics. Collaborates with global institutions to advance health equity through accessible technologies.

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +۵ مورد دیگر

Gustavo Borges Moreno e Mello is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. Based in office SG209 at Stensberggata 29, Oslo, he actively contributes to the Applied Artificial Intelligence research group with focus on cutting-edge computational methodologies. His research spans artificial intelligence with emphases on graph neural networks, multilingual NLP, reinforcement learning, and medical imaging. Key interests include developing propagation schemes for GNNs, cross-lingual BERT adaptations, rodent fMRI analysis, and empathy assessment in human-computer interaction systems. His work bridges theoretical AI with practical healthcare and communication applications. Analysis of his 2020-2024 publications reveals strong thematic continuity in neural architecture design, particularly HITS-GNN variants for graph analytics and time-representation models. Recent work increasingly integrates neuroscience principles with reinforcement learning while maintaining Nordic language processing applications, notably in English-Norwegian BERT alignment. No information regarding graduate student supervision or research grants was found in the provided materials. He maintains active collaboration within OsloMet's Applied Artificial Intelligence research group, focusing on interdisciplinary projects that connect computer vision, natural language processing, and neuro-inspired computing with real-world healthcare and communication challenges.

Mihai Ispasمشاهده پروفایل

استاد

• Properties of wood and wood-based materials
• Mechanical processing of wood
• Technologies for the wood industry

Mihai Ispas is a Professor at the Department of Wood Processing and Design of Wood Products, Faculty of Furniture Design and Wood Engineering, Transilvania University of Brașov, Romania. His research focuses on wood properties, mechanical processing techniques, and optimization of wood industry technologies. Institution: Transilvania University of Brașov Department: Wood Processing and Design of Wood Products Email: ispas.m@unitbv.ro Professor Ispas's research spans two decades, with recent work emphasizing the application of artificial intelligence (e.g., artificial neural networks) and statistical methodologies (e.g., response surface methodology) to optimize drilling and milling processes for wood composites. His studies analyze surface quality, delamination, and mechanical properties across materials like MDF, particleboard, blockboard, and thermally modified hardwoods such as beech and maple. Key trends in his publications include: Integration of computational modeling with empirical testing Focus on drilling parameter optimization for industrial applications Comparative analysis of tool geometries and processing methods Thermal modification effects on wood machinability Advancements in CNC routing and surface decoration Sustainable practices in furniture and wood industries Contact details: Office: Building L, Room L II 7 Phone: 0372 910037 Address: St. Universității, No 1, Brașov, Romania

Ivica Kostanicمشاهده پروفایل

دانشیار

• Wireless Communications
• Wireless Multimedia Communications
• Wireless Sensor Networks
• +۷ مورد دیگر

Dr. Ivica Kostanic is an Associate Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology (FIT), serving as Director of the Wireless Center of Excellence (WiCE). He holds affiliations with both the College of Engineering and Science and the WiCE, leading research in wireless communication systems, sensor networks, and mobile analytics. His work emphasizes practical applications in cellular, microwave, and satellite communication. Research Focus: WiCE research spans wireless sensor networks (WSN), quality of service (QoS) optimization, LTE/5G network analysis, and hurricane monitoring via WSN. Key projects include the Mobile Video Quality Prediction (MVQP) initiative, which evaluates video streaming over cellular networks, and sensor network deployments in diverse terrains. Collaborations with industry partners enhance practical relevance. Publications & Awards: Over 50 peer-reviewed publications highlight contributions to WSN performance modeling, video quality metrics, and LTE optimization. Notable recognition includes a Best Paper Award at WCECS 2014 for subjective video quality assessment in LTE networks. Recent work extends to 5G beamforming, UAV communication systems, and spatial mobility analysis. Education & Mentorship: Teaches graduate courses in RF propagation, communication theory, and wireless systems. Advises numerous PhD and MS students, many contributing to WiCE projects. His curriculum development includes the Wireless Systems and Technology specialization, emphasizing theoretical and applied skills. Labs & Facilities: Oversees two labs: the WiCE Research Lab (equipped with CAD tools like Agilent ADS) and the Microwave Lab (featuring anechoic chambers and network analyzers). Software tools like SimWiser and HSN Client aid WSN simulation and deployment analytics.

Ismail Orabiمشاهده پروفایل

استاد

• Mechanical Vibrations
• Dynamic Systems and Control
• Computational Mechanics
• +۳ مورد دیگر

Ismail Orabi, Ph.D., is a Professor in the Department of Mechanical and Industrial Engineering at the University of New Haven's Tagliatela College of Engineering. With a career spanning over three decades, he has contributed significantly to mechanical vibrations, dynamic systems, and engineering education. Ph.D., Mechanical Engineering, Clarkson University M.S., Mechanical Engineering, SUNY Buffalo B.S., Mechanical Engineering, Helwan University His research focuses on computational methods for mechanical vibrations, vibration control of space structures, and finite element analysis. He has developed learning modules to enhance conceptual understanding in engineering education. Notable awards include a $600k NSF grant (2010), ASEE Best Paper Award (2000), and multiple NSF/industry-funded research grants. He established the NSF-sponsored Materials Testing Laboratory and AT&T-funded Engineering Multimedia Laboratory. NSF Grant ($600k, 2010) Yankee Ingenuity Initiative Grants ($300k and $100k) ASEE Best Paper Award (2000) Professor Orabi has taught courses including Mechanical Vibrations, Dynamics, Thermodynamics, and Capstone Design. His work bridges theoretical dynamics with pedagogical innovation.

• Computer Science Education
• Educational Technology
• Pedagogical Innovation
• +۳ مورد دیگر

Inés Jacob Taquet is a Senior Lecturer at the Faculty of Engineering of the University of Deusto, Bilbao. She holds a BSc and PhD in Information Technology from the University of Deusto. Her teaching focuses on Programming Methodology for Computer Engineering and Programming for Industrial Technology Engineering. She is part of the Deustek2 research team, recognized by the Basque Government. Her career includes roles as Vice Dean of Students (2006–2010), Dean (2010–2016), and currently Quality Manager and Coordinator of Teaching Accreditation Assessment at the faculty. Education: BSc and PhD in Information Technology (University of Deusto). Master’s in Robotics and Automation (1991). Professional Development: Extensive pedagogical training including courses on university teaching, European Higher Education Area adaptation, and conflict resolution. Research interests center on pedagogical innovation, including academic analytics for student retention, remote laboratory design (e.g., WebLabDeusto), and curriculum development. She led projects such as ASPA4DOR (2022–2023), Blueprint Steel Skills (2019–2022), and Re-CREA (2018–2020). Over 30 years of contributions to educational technology, formal programming methods, and multilingual content management. Publications span teaching methodologies, educational tools, and computational linguistics. She has authored numerous articles on programming education, competency development, and remote learning technologies. Her work emphasizes bridging theory and practice in engineering education.

Juan Cruzمشاهده پروفایل

استادیار

• Engineering Education
• Educational Inequalities
• Doctoral Education
• +۵ مورد دیگر

Juan Cruz, Ph.D., is an Assistant Professor in the Experiential Engineering Education (ExEEd) department at Rowan University's Henry M. Rowan College of Engineering. His research focuses on systemic factors influencing faculty and student motivation in engineering education, particularly addressing barriers faced by underrepresented minorities in doctoral programs. He holds a Ph.D. in Engineering Education from Virginia Tech, and M.S. and B.S. degrees in Education and Electronic Engineering from Universidad Javeriana, Colombia. Research highlights include the Rising Doctoral Institute (RDI) , a NSF-funded initiative ($1.7M) to improve retention of underrepresented minorities in engineering PhD programs. His work also explores AI's impact on programming education and instructional change through systems dynamics modeling. Additional grants include projects on entrepreneurial mindset assessment (Kern Family Foundation) and smart grid workforce development (NSF). Awards & Grants : NSF Collaborative Award ($1.76M) for RDI Kern Family Foundation Co-PI grant ($499K) NSF Smart Grids Co-PI grant ($300K) Professional memberships include the American Society for Engineering Education (ASEE). His advising focuses on systemic equity in engineering education, with recent work published in Education Sciences and Journal of Engineering Education .

Usame Yakutcanمشاهده پروفایل

مدرس

• Discrete Event Simulation
• Healthcare Modelling
• Decision Support Systems
• +۵ مورد دیگر

Usame Yakutcan is a Lecturer in Operational Research at the Hertfordshire Business School, University of Hertfordshire. He holds a PhD in Operational Research, alongside a BSc in Industrial Engineering and an MSc in Engineering Management. As a Fellow of the Higher Education Academy (FHEA), he specializes in healthcare modeling, discrete event simulation, and decision support systems. His work focuses on improving patient flow and disease pathways for conditions like COPD, HIV, and CVD. Education: BSc Industrial Engineering MSc Engineering Management PhD in Operational Research Research Interests: Usame’s research integrates operational research techniques with healthcare challenges. He develops simulation models to optimize healthcare systems, evaluate mobile health interventions, and address health inequalities. Key areas include decision support systems, health economics, and public health policy. Projects: A Web-Based Decision Tool for Integrated Care (2024–2026): Focuses on enhancing integrated care systems through simulation-based tools. A Web-Based Tool to Enhance Social Value Measurement (2024–2026): Aims to improve social care and voluntary sector evaluations. Awards: Fellow of the Higher Education Academy (FHEA) Teaching & Engagement: Teaches Data Analytics, Computer Simulation, and Operational Research. Collaborates with organizations like the Operational Research Society and the Production and Operations Management Society. Labs/Teams: Member of the Business and Digital Research Group, contributing to interdisciplinary healthcare modeling projects.

• Human-Computer Interaction
• Health Technologies
• Digital Health
• +۴ مورد دیگر

Dr. Madeline Balaam is a researcher at Newcastle University, focusing on the intersection of technology with healthcare, humanitarian crises, and education. Her work emphasizes participatory design, ethical technology integration, and equitable access to resources for marginalized communities such as refugees and people with disabilities. She collaborates extensively with interdisciplinary teams on projects like digital tools for food security, health advocacy, and inclusive education. Research interests include humanitarian technologies, healthcare design, and leveraging technology for social impact. Notable projects address Syrian refugees' needs in Lebanon and Lebanon, dementia care through VR, and abortion rights advocacy via digital storytelling. Her work often bridges theoretical frameworks with practical implementation in real-world contexts. Publications highlight themes of dignity in tech design, participatory methods in crisis settings, and innovative educational approaches. Collaborations span global health, HCI, and sociology, reflecting a commitment to interdisciplinary solutions for societal challenges.

Paul Nisbetمشاهده پروفایل

پژوهشگر ارشد

• Assistive Technology
• Augmentative and Alternative Communication (AAC)
• Accessible Digital Examinations
• +۴ مورد دیگر

Paul Nisbet is a Senior Research Fellow at the Institute for Education, Teaching and Leadership (IETL) within the Moray House School of Education and Sport at the University of Edinburgh, where he also serves as Director of CALL Scotland—a Knowledge Exchange and Transfer Centre focused on applying technology to support pupils with additional support needs across Scotland. His educational background includes a BSc (Hons) in Electrical and Electronic Engineering and an MSc in Knowledge-Based Systems, complemented by Chartered Engineer status through The Institution of Engineering and Technology. Dr. Nisbet's research centers on Assistive and Communication Technology for children with disabilities, with key emphases on: Accessible digital examinations and high-stakes assessments Scottish computer voice development for communication aids Service delivery models for AAC and assistive technology Physical access systems for mobility-impaired learners He received the University of Edinburgh Principal's Medal in 2010 for his contributions, including the award-winning CALL Smart Wheelchair. His work has secured funding from Scottish Government, Nuffield Foundation, and EU Horizon programmes. As CALL Scotland Director, he leads a multidisciplinary team that generated over 1 million website visits in 2017-18, distributed 42,000+ accessible books, and supported 90+ pupils across 17 Scottish local authorities through direct assessments and assistive technology loans.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۷ مورد دیگر

Huan Liu is a Professor at Arizona State University's School of Computing, Informatics, and Decision Systems Engineering, with research spanning artificial intelligence, edge computing, and interdisciplinary applications. His work bridges theoretical advances with real-world implementations across healthcare, transportation, and environmental systems. His primary research interests include: Artificial Intelligence and Machine Learning for complex system optimization Edge-Cloud Computing architectures for IoT and vehicular networks Medical image analysis and clinical decision support systems Graph neural networks and multimodal learning Privacy-preserving federated learning frameworks Recent publications demonstrate strong emphasis on applied AI, with 15+ 2025 papers addressing UAV swarm intelligence, medical diagnostics, and sustainable transportation through novel algorithmic approaches. Publication trends reveal consistent leadership in: Developing efficient edge computing solutions for dynamic environments Creating medical AI tools with clinical validation Innovating in graph-based and multimodal learning Applying optimization techniques to logistics and environmental challenges His work frequently appears in top venues including IEEE Transactions, Bioinformatics, and AAAI.

ALPEREN MERALمشاهده پروفایل

مدرس

• Landscape Architecture
• Environmental Engineering
• Sustainable Urban Design
• +۵ مورد دیگر

Dr. Alperen Meral is a Lecturer in the Department of Landscape Architecture at Bingöl University's Faculty of Agriculture. He holds a PhD from Düzce University and has been a faculty member since 2023, following roles as a research assistant (2013–2021) and research assistant doctor (2021–2023). His educational background includes a BSc from Karadeniz Technical University (2005–2009), MSc from Karadeniz Technical University (2009–2015), and PhD from Düzce University (2017–2021). He also completed an associate degree in GIS from Anadolu University (2020–2022). His research focuses on landscape architecture, environmental engineering, and sustainable urban design. Key interests include erosion control, flood risk analysis, GIS applications, and agro-tourism. He has contributed to over 30 international publications and actively participates in national and international conferences. Dr. Meral has led and collaborated on projects such as the Murat River Rehabilitation Project, Bingöl Open Green Areas Disaster Readiness Study, and Van Province Flood Control Projects. He has also authored chapters in books on sustainable landscape design and ecological planning. He has been awarded academic incentive awards annually from 2015 to 2021. His teaching includes courses like Landscape Design II, Computer-Aided Design II, and Landscape Planning Methods.

Moritz Kreinsenمشاهده پروفایل

پژوهشگر

• AI Education
• AI Literacy
• Data Literacy Education
• +۵ مورد دیگر

Moritz Kreinsen is a Researcher and Project Coordinator at the University of Hamburg's Faculty of Education, specifically in the Department of Didactics of Social Sciences and Mathematics and Natural Sciences (EW 5). He holds an M.Ed. and B.Sc. in secondary school teaching with a focus on computer science and physics from the University of Hamburg. His research focuses on AI Education, Data Literacy, and conceptual change in teaching AI and data concepts. He coordinates the Digital and Data Literacy in Teaching Lab (DDLitLab) and leads projects like the Interdisciplinary AI + Data Lab in Teacher Education (Teacher AID Lab), integrating AI and data literacy into STEM teacher training. He teaches seminars on AI literacy and data literacy in schools and teacher education. Recent publications emphasize AI ethics, conceptual change strategies, and project-based learning methods. Kreinsen actively participates in international conferences and collaborates with institutions like the Stiftung Innovation in der Hochschullehre. His work bridges educational theory and practice, emphasizing transformative teaching methods through student research centers and interdisciplinary labs.

• Neurorehabilitation
• Assistive Technology
• Cognitive Science
• +۳ مورد دیگر

Dr. Matthew Jamieson is a Research Associate at the University of Glasgow's Mental Health & Wellbeing department, focusing on assistive technologies for individuals with neurological conditions. His work centers on developing digital tools to support cognitive impairments, particularly in acquired brain injury rehabilitation. Key projects include the AppReminders memory aid app and ApplTree scheduling software, emphasizing user-centered design and accessibility. Research Interests: Dr. Jamieson’s research spans neurorehabilitation , cognitive assistive technologies , and user interface design for disability . He explores how wearable devices (e.g., smartwatches) and mobile applications can enhance memory and executive function in clinical populations. His work bridges human-computer interaction with clinical psychology , prioritizing real-world usability and patient outcomes. Grants & Collaborations: He has secured funding from the Engineering and Physical Sciences Research Council (EPSRC), Chief Scientist Office (CSO), and National Institute for Health Research (NIHR). Notable grants include the £200k Neumind app collaboration (2023–2024) and the ApplTree project (2019–2021). He collaborates with industry partners like Neumind Limited to translate research into scalable solutions. Labs & Teams: Involved in interdisciplinary teams at the University of Glasgow’s Rehabilitation Technology group and the NIHR Brain Injury Healthcare Technology Co-operative. His work often involves co-design with end-users to ensure practical relevance.