Find Academic Supervisors

• Internet of Things
• Low Power Wide Area Networks
• Wireless Sensor Networks
• +7 more

Teresa Olivares Montes is a faculty member at the University of Castilla-La Mancha, where she serves as a Profesor Contratado Doctor in the Department of Systems Informatics. She has been actively contributing to research and education since completing her PhD in Computer Engineering at the same institution. Her academic career includes international research experiences in Hong Kong, Ireland, and the UK, reflecting a strong global engagement. PhD in Computer Engineering, University of Castilla-La Mancha (2003–present) Licentiate in Computer Science, University of Granada Diploma in Computer Science, University of Granada Her research focuses on Internet of Things (IoT), low-power wireless communication protocols, energy-efficient networking, and smart systems for applications in healthcare, agriculture, education, and Industry 4.0. She has published extensively in high-impact journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, and Computer Networks. Her recent work emphasizes practical, low-cost IoT solutions for environmental monitoring (e.g., glyphosate detection, agrochemical drift) and digital twin development for smart campuses. The analysis of her recent publications (2020–2025) reveals a consistent trend toward applied IoT systems integrating sensor networks, machine learning, and human-centered design. Her work spans domains including public health (MosquIoT), environmental protection (DriftGLY, SpectroGLY), smart education (WIoTED), and industrial efficiency (OperaBLE). These projects demonstrate a strong interdisciplinary approach, combining computer science fundamentals with real-world societal and industrial challenges. No formal scientific awards are listed in the provided text. Teresa Olivares Montes has contributed to academic service, notably as a member of the Equality Commission at her department since 2017. While no specific grants are detailed beyond a 1996 training contract, her sustained publication record suggests ongoing research funding. She collaborates with a broad network of researchers across Spain and internationally. She has also contributed to educational initiatives, including mentoring program coordination across multiple degrees. She is involved in several research initiatives related to smart environments, including smart homes, smart campuses, and smart worker systems. Her lab or team likely focuses on IoT protocol design, wireless sensor networks, and embedded systems for sustainable and socially responsible applications.

Ke SunView profile

Assistant Professor

• Mobile Computing
• Internet of Things
• Cybersecurity
• +4 more

Ke Sun is an Assistant Professor in the EECS Department at the University of Michigan, Ann Arbor. His research develops intelligent, deployable sensing systems for mobile, wearable, and IoT ecosystems, with applications in HCI, cybersecurity, health monitoring, and robotics. His work has been implemented in commercial devices like Amazon Echo and Google Home. Research spans: HCI for Mobile/IoT : Touch/gesture sensing (VSkin, RFCanvas) Cybersecurity : Privacy protection against eavesdropping (EveGuard, StealthyIMU) Health/Environmental Sensing : Vital sign monitoring (LoEar), activity logging (EgoADL) Wireless/Robotics : mmWave radar navigation (milliEgo), acoustic temperature sensing (VECTOR) Publication trends show consistent focus on acoustic/wireless sensing (13/15 papers), cybersecurity (5/15), and cross-modal AI fusion. Recent work explores adversarial ML attacks and LLM vulnerabilities. Awards include: Google Ph.D. Fellowship (2023) UbiComp Distinguished Paper Award (2023) ACM SenSys Best Poster Runner-up (2020) ACM-ICPC Asia Gold Medal (2015) Industry collaboration includes three internships at Amazon Lab126 where his research influenced Echo device development. He serves on program committees for ACM MobiSys/SenSys and organized the ICLR ML for IoT Workshop.

• Audiology
• Auditory Electrophysiology
• Audiologic Rehabilitation
• +5 more

Samuel Atcherson, Ph.D., is a Professor at the University of Arkansas for Medical Sciences (UAMS) in both the College of Health Professions Department of Audiology and Speech Pathology and the College of Medicine Department of Otolaryngology—Head and Neck Surgery. His research spans audiologic rehabilitation, auditory electrophysiology, and health literacy, with a focus on addressing challenges faced by individuals with hearing loss, particularly in healthcare communication during mask use and accessibility for people with disabilities. Research Interests: Atcherson's work integrates audiologic rehabilitation through innovations like transparent face masks and amplified stethoscopes, auditory electrophysiology using evoked potential systems, and health literacy research examining readability of medical materials, especially for those with disabilities. Publications: With over 60 peer-reviewed articles, his recent publications explore AI integration in audiology, masked speech challenges, and health disparities. A recurring theme is the intersection of technology, accessibility, and multidisciplinary collaboration. Grants & Awards: He has secured over $477,000 in grants, including NIH funding, and holds the Distinguished Scholar Fellow title from the National Academies of Practice. Leadership: Atcherson serves on the Editorial Board of the Journal of the American Academy of Audiology and has contributed to textbooks like Auditory Electrophysiology: A Clinical Guide .

• Machine Learning
• Natural Language Processing
• Healthcare Applications
• +7 more

Frank Rudzicz is a Professor at the University of Toronto with appointments in the Faculty of Medicine and Department of Computer Science. His research bridges machine learning, natural language processing, and healthcare applications, with a particular focus on developing AI solutions for medical diagnostics, surgical assistance, and patient care. He leads several research initiatives in medical AI and collaborates extensively with clinicians and healthcare institutions. Rudzicz's research interests span multiple critical areas in healthcare AI. He has pioneered work in speech-based detection of neurological conditions including Alzheimer's and Parkinson's diseases, developing algorithms that analyze linguistic patterns to identify early signs of cognitive decline. His work in surgical AI has led to systems that provide real-time decision support during operations and analyze surgical performance. He also investigates ethical AI implementation in healthcare, addressing privacy concerns and developing frameworks for trustworthy clinical AI systems. More recently, his research has expanded into large language models for medical applications, focusing on privacy preservation, fairness, and explainability in clinical contexts. His publication record shows a clear evolution from foundational work in speech processing and dysarthria recognition toward increasingly sophisticated medical AI applications. Early work focused on improving speech recognition for impaired speakers, which naturally led to applications in neurological disorder detection. Over the past decade, his research has expanded to encompass broader healthcare applications, with recent work heavily featuring transformer models, multimodal data integration, and ethical considerations in medical AI deployment. His current research demonstrates strong emphasis on practical implementation challenges including model security, privacy preservation, and clinical integration of AI systems. Rudzicz has received recognition for his work, including best paper awards at major conferences like ICLR 2025. His research has been supported by numerous grants focusing on AI in healthcare, though specific grant details aren't provided in the available text. He has mentored numerous graduate students who have gone on to contribute significantly to medical AI research. As a leader in medical AI, Rudzicz contributes to major collaborative efforts including the Delphi consensus statement for digital surgery. His work frequently appears in top-tier AI and medical journals, demonstrating his ability to bridge the technical and clinical domains. Through his research group at the University of Toronto, he continues to advance the frontier of AI applications in healthcare while addressing the practical and ethical challenges of implementing these technologies in real clinical settings.

• Speech Therapy
• Rehabilitation
• Pediatric Audiology
• +3 more

Ilze Blūmentāle is a Lecturer at the Department of Rehabilitation within the Faculty of Health and Sport Sciences at Rīga Stradiņš University . She serves as the Director of the Study Programme "Audio Speech Therapy" and holds an ORCID profile (0000-0002-2953-4407). Her work focuses on speech pathology, pediatric audiology, and craniofacial development, particularly in children with cleft lip/palate and adenoid hypertrophy. Research Interests : Speech therapy interventions, myofunctional therapy, language development in special populations, muscle strength correlations, and tactile communication strategies for deafblind children. Her recent publications (2024-2009) cover topics like postoperative fistula rates in cleft palate patients, speech-language-hearing interdependencies, and muscle physiology in pediatric ENT disorders. She actively participates in international conferences including the European Cleft Palate Craniofacial Association Congress and multidisciplinary events on societal welfare. Blūmentāle contributes to EU-funded educational reforms and technical aid assessments in Latvian institutions. She collaborates with experts across disciplines and has provided media commentary on multilingual child development and myofunctional therapy relevance.

Yan WangView profile

Associate Professor

• Cyber Security and Privacy
• Internet of Things
• Mobile and Pervasive Computing
• +4 more

Yan Wang is an Associate Professor and Graduate Director in the Computer and Information Sciences Department at Temple University, College of Science and Technology. Previously, he was an Assistant Professor at Binghamton University. He holds a Ph.D. from Stevens Institute of Technology, M.S. from Rutgers University, and B.S. from Tongji University. His research focuses on Cyber Security, IoT, Mobile Sensing, and Smart Healthcare, with NSF-funded projects in Edge Computing and Trustworthy DNN frameworks. He has received multiple accolades including the AI 2000 Most Influential Scholar Award (2024, 2023, 2022) and Best Paper Awards at IEEE CNS 2018, SECON 2017, and ACM AsiaCCS 2016. Dr. Wang leads a lab conducting groundbreaking work in privacy-preserving sensing, adversarial machine learning, and wearable health monitoring. He has advised numerous students, including Zijie Tang and Zhengkun Ye, and serves on editorial boards and conference committees such as T-IFS Associate Editor and ICDCS Track Co-Chair.

Yih-Chun HuView profile

Associate Professor

• Network Security
• Wireless Networks
• Vehicular Networks
• +6 more

Yih-Chun Hu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, where he has been a faculty member since August 2005. He is also an affiliate faculty member of the Computer Science department and faculty of the Advanced Digital Sciences Center. Dr. Hu is a member of the Coordinated Science Laboratory and the Information Trust Institute at UIUC. Dr. Hu received his Ph.D. in Computer Science from Carnegie Mellon University in 2003, where his advisor was David B. Johnson. His dissertation was titled "Enabling Secure High-Performance Wireless Ad Hoc Networking." Prior to joining UIUC, he was a Postdoctoral Researcher at the University of California, Berkeley under Doug Tygar. He earned his B.S. Magna Cum Laude in Computer Science and Mathematics from the University of Washington in 1997. Dr. Hu's research focuses on network security and wireless systems, with particular emphasis on secure routing protocols, vehicular networks, and defense against denial-of-service attacks. His work spans multiple domains including secure Internet routing, privacy in wireless networks, and security mechanisms for ad hoc networks. He has developed innovative approaches to insider attacks in wireless networks, DDoS defense mechanisms, and security for vehicular communication systems. His research often combines theoretical analysis with practical system implementation and evaluation. Dr. Hu's recent publications demonstrate a continued focus on security challenges in emerging network environments, including IoT security, blockchain applications for security, and privacy-preserving techniques for vehicular networks. His work shows a consistent theme of developing practical security solutions that balance strong security guarantees with performance considerations. Dr. Hu has served in numerous editorial and conference organization roles, including as Associate Editor for IEEE Transactions on Networking (2012-2016) and ACM Transactions on Mobile Computing (2013-2018). He has held significant roles in major networking conferences such as Technical Program Chair for ACM MobiHoc 2012 and various committee positions for ACM MobiCom. Within the Coordinated Science Laboratory at UIUC, Dr. Hu leads research efforts in network security and wireless systems, mentoring students and collaborating with other faculty on interdisciplinary security projects. His lab focuses on developing security mechanisms that are both theoretically sound and practically deployable in real-world systems.

• Prevention of sexualized violence against children and adolescents with hearing impairments
• Sex education for people with hearing impairments
• Foreign language teaching with students with hearing impairments
• +4 more

Dr. Katharina Urbann is a Research Fellow in the Department of Sign Language and Audio Pedagogy at Humboldt University of Berlin's Institute of Rehabilitation Sciences within the Faculty of Cultural, Social and Educational Sciences. She has established herself as a leading researcher in deaf education, sexual violence prevention, and multilingual education for deaf and hard-of-hearing students. Her research interests focus on prevention of sexualized violence against children and adolescents with hearing impairments, sex education for people with hearing impairments, foreign language teaching with students with hearing impairments, and language education for newly immigrated deaf and hard-of-hearing students. She leads the 'Sign Language in the Foreign Language Classroom' (SiLC) research group and works on the 'Digital protection against sexualized violence against children and adolescents with hearing impairments' (DigGaH) project. Dr. Urbann's recent publications (2023-2025) demonstrate her expertise across multiple domains, with a strong focus on digital sexual violence against deaf/hard-of-hearing youth, culturally responsive teaching for deaf multilingual learners, and bimodal-bilingual education approaches. Her work spans empirical research, educational resource development, and practical classroom strategies. Her scientific contributions include: Investigations into digital sexual violence against deaf and hard-of-hearing adolescents Development of culturally responsive teaching strategies for deaf multilingual learners Research on English language learning among deaf students Creation of sex education materials specifically designed for children and adolescents with hearing impairments Analysis of communicative competence as a factor in preventing digital sexual violence As an educator, Dr. Urbann supervises academic theses and teaches courses on bimodal-bilingual education, sex education for hearing-impaired students, and language education for newly immigrated deaf and hard-of-hearing students. She offers specialized sign language consultation hours for students and maintains an active research agenda with numerous international collaborations.

• FM/DM systems
• Interprofessional education
• Patient counseling

Dr. Susan Naeve-Velguth is Professor of Audiology and American Sign Language at Central Michigan University, where she serves as Chairperson of the Department of Communication Sciences and Disorders and Director of Community Engagement for the College of Health Professions. She holds a Certificate of Clinical Competence in Audiology (CCC-A) and maintains active membership in the American Academy of Audiology and American Speech, Language, and Hearing Association. Education: PhD in Communication Disorders, University of Minnesota (1995) MA in Audiology, University of Minnesota (1989) BS in Speech and Hearing Science, University of Minnesota (1986) Research Focus: Her work spans three interconnected domains: FM/DM assistive hearing technologies, interprofessional education models for healthcare training, and patient counseling efficacy in audiological practice. This research addresses critical gaps in clinical education methodologies and hearing rehabilitation technology optimization. Publication Analysis: Her 30-year publication record demonstrates progression from foundational sign language linguistics (early 1990s) to contemporary hearing technology innovation (2023). Recent works emphasize evidence-based clinical education techniques and FM system performance, while earlier contributions established frameworks for pediatric assessment and family counseling in audiology. Teaching: She instructs graduate-level Audiologic Rehabilitation (CSD 431) and undergraduate American Sign Language (ASL 101H), integrating clinical simulation and community engagement practices.

• Intellectual Property Law
• Trademark Law
• Commercial Law
• +2 more

Carsten Kortbein serves as an Honorary Professor at Bundeswehr University Munich since 2014 and has been a Lecturer at the Chair of Civil Law, Commercial and Commercial Law since 2008. Concurrently, he holds a judicial position as Judge in Technical Appeals Senates of the Federal Patent Court since 2011, leveraging his three-decade expertise in intellectual property systems. His educational foundation includes law studies (major) and computer science (minor) at Ludwig Maximilian University of Munich (1983-1989), First State Examination (1989), legal traineeship in Munich's Higher Regional Court district (1989-1992), and Second State Examination (1992). He earned his doctorate from Bundeswehr University Munich in 2005 with the thesis 'Trademark protection for audio signs - Problems of the practical use as well as the registration, opposition and infringement proceedings' under Prof. Dr. Hanns Ullrich. Professor Kortbein's research centers on Intellectual Property Law with specialized focus on Trademark Law, particularly audio sign protection mechanisms across registration, opposition, and infringement proceedings. His work bridges Commercial Law and Civil Law frameworks, informed by practical experience from 14 years at the German Patent and Trademark Office and ongoing judicial service. Current scholarship examines evolving challenges in non-traditional trademark registration within digital commerce contexts. His professional trajectory includes progressive roles at the DPMA: Legal Examiner (1992-1998), Head of General Legal Affairs Department (1998-1999), Arbitration Board Representative (1999-2000), and Personnel Department Head (1999-2006). Since 2010, he additionally oversees Non-Judicial Employee Personnel at the Federal Patent Court while maintaining active judicial and academic duties.