Find Academic Supervisors

Kuan Hong WangView profile

Professor

• Neuroscience
• Neurodevelopment
• Alzheimer's Disease
• +7 more

Dr. Kuan Hong Wang is a Professor of Neuroscience and Pharmacology & Physiology at the School of Medicine and Dentistry, University of Rochester. He holds the Dean's Professorship in Neuroscience and leads the Wang Lab, focusing on neural circuit mechanisms underlying cognitive control of sensorimotor functions. His research integrates molecular genetics, in vivo imaging, and behavioral analyses to study brain circuit development in psychiatric disorders such as schizophrenia, depression, and addiction. Dr. Wang earned his B.A. from Harvard College (1994) and Ph.D. from UCSF (1999). Research interests include experience-dependent cortical information processing, molecular and cellular changes in sensory/association cortices, and real-time monitoring of brain dysfunction in psychiatric models. Key affiliations include the Intellectual and Developmental Disabilities Research Center and the Del Monte Institute for Neuroscience. Labs/Teams: Wang Lab (focusing on systems neuroscience and translational research). Current lab members include postdoctoral scholars and graduate students studying topics like dopaminergic plasticity, neuroinflammation in Alzheimer’s, and motor skill learning. Grants and funding: Not explicitly detailed in provided texts, but implied through research focus on NIH-relevant topics like neurodevelopment and aging. Collaborations include multi-institutional projects on emotional well-being and brain aging.

Choongheon LeeView profile

Assistant Professor

• Hearing Disorders
• Balance Disorders
• Vestibular Function Assessment
• +4 more

Choongheon Lee is an Assistant Professor of Research in the Department of Mechanical Engineering at the University of Rochester’s Hajim School of Engineering & Applied Sciences. His research focuses on understanding vestibular and auditory system functions, with particular emphasis on peripheral vestibular function assessment, inner ear drug delivery, and pharmacological interventions for hearing and balance disorders. His work integrates biomechanical, electrophysiological, and pharmacological approaches to study inner ear physiology and develop therapeutic strategies. Education details are not explicitly listed in the provided information, but his current academic role reflects advanced training in biomedical engineering or related fields. Research interests include drug delivery mechanisms in the inner ear, pharmacological modulation of vestibular responses, and the neurobiology of hearing disorders. He employs animal models such as guinea pigs and mice to investigate endolymphatic hydrops, cochlear synapse loss, and the effects of therapeutic agents on sensory pathways. His recent publications explore topics such as cochlear fluid dynamics, the role of KCNQ2/3 ion channels in vestibular function, and the impact of CGRP on sensory hypersensitivity. While no awards are explicitly mentioned, his active research portfolio indicates contributions to understanding balance and hearing mechanisms. Advising and grant details are not provided in the text, though his involvement in collaborative projects and experimental setups suggests potential interdisciplinary collaborations. Lee’s work is closely tied to laboratory research within the Hajim School, focusing on translational studies that bridge basic science and clinical applications in audiology and vestibular medicine.

• Mathematics
• Applied Mathematics
• Computational Neuroscience
• +3 more

Fei Chen is a Research Fellow in the School of Mathematics at Trinity College Dublin. Their work focuses on interdisciplinary research at the intersection of mathematics, neuroscience, and biomedical engineering. Current research interests include predictive coding models in auditory perception, Bayesian inference frameworks for phantom perception, and applications of machine learning in diagnosing hearing-related disorders. Fei's recent publications explore topics such as auditory illusion modeling, chronic pain mechanisms through predictive processing lenses, and systematic reviews of autoimmune-related hearing loss. Their work combines advanced mathematical modeling with clinical data analysis to advance understanding of sensory perception disorders. Advisees/PhD students: None listed at this time. No scientific awards mentioned in available records. Research activities include collaboration with clinical teams to investigate neural networks involved in auditory processing anomalies and developing computational tools for hearing diagnostics.

Caron Beaton-WellsView profile

Academic

• Competition Policy
• Antitrust Law
• Digital Platforms Regulation
• +4 more

Overview Professor Caron Beaton-Wells serves as Dean and CEO of the Australia and New Zealand School of Government (ANZSOG) and holds an honorary Professorial Fellow position at the Melbourne Law School. She previously held multiple leadership roles at the Melbourne Law School, including Director of the University's Competition Law & Economics Network and co-Director of the Global Competition and Consumer Law Program. Her research focuses on competition policy, digital platforms, and regulatory governance, with particular attention to the intersection of competition and consumer law. Education While specific educational qualifications are not detailed, her career trajectory indicates advanced legal training, including a background in competition law and regulatory policy. Research Interests Her work explores competition law’s sociological, political, and institutional dimensions, including challenges in cartel enforcement, digital platform regulation, and privacy protection. She has pioneered initiatives like the award-winning online Master’s program in global competition and consumer law, and hosts the podcast Competition Lore , examining competition issues in the digital economy. Publications Her articles address topics like antitrust enforcement strategies, supermarket-supplier dynamics, and ASEAN consumer law harmonization. Recent work critiques corporate penalties for cartels and advocates for policy innovation in digital markets. Awards & Affiliations Member of the Australian Competition Tribunal Advisor to the OECD, ASEAN, and New Zealand Government Editorial roles with the International Competition Network, UNCTAD’s Research Partnership Platform, and multiple academic societies Grants & Leadership Leadership includes roles as Deputy Chair of MSPACE Academic Programs Committee and membership in UNCTAD’s Research Partnership Platform. She has advised governments and international bodies on regulatory frameworks and competition policy. Teams & Initiatives She co-founded the Global Competition and Consumer Law Program and oversees the Competition Law and Economics Network at Melbourne Law School. Her podcast Competition Lore fosters dialogue on modern competition challenges.

Shaoyu LiuView profile

Research Fellow

• Administrative Law
• Digital Law
• Information Law
• +3 more

Dr. Shaoyu Liu is a Non-Resident Fellow at the University of Cologne's Chinese Legal Culture department and a Research Fellow at Guanghua Law School of Zhejiang University. He holds a bachelor's degree in management from East China University of Political Science and Law, a dual master's in law from China University of Political Science and Law and the University of Hamburg, a joint doctorate in law from China University of Political Science and Law and Ludwig Maximilian University of Munich, and completed a postdoctoral fellowship at the Institute of Law, Chinese Academy of Social Sciences. His research focuses on administrative law and digital law, particularly addressing issues such as personal information protection in digital governance, regulatory frameworks for internet platforms, and comparative codification strategies for administrative law. He has published extensively on topics including meta-regulatory theory, risk regulation in digital government, and legal interactions between labor and civil codes. Liu is qualified to supervise master's and doctoral candidates and has contributed to interdisciplinary legal research bridging Chinese and German legal systems. His work emphasizes practical applications of legal doctrines in evolving digital and administrative contexts.

• Communications Systems
• Defence Information Systems
• Cybersecurity
• +7 more

Dr Philip Nobles is a Lecturer at Cranfield University, affiliated with the Centre for Defence Engineering and Physical Science within the College of Engineering and Physical Sciences. He holds a PhD and MEng from Swansea University and has over 25 years of experience in academic and applied research in communications and cybersecurity. PhD, Swansea University MEng, Swansea University His research expertise lies in communications systems, defence information systems, and cybersecurity, with a focus on wireless networks, software-defined networking, military communications, and intrusion detection. He leads the development and delivery of an MSc module on Networked Systems and Cybersecurity for Connected and Autonomous Vehicles, and supervises research students. His work is supported by collaborations with DSTL/MOD, Airbus, EPSRC, BBC, and Philips Research Laboratories. Dr Nobles has published extensively on topics including intrusion detection sensor characterization, false positive responses, insider threat detection, and wireless communication systems. His publications reflect a strong trend in network security, sensor deployment optimization, and secure communications for defence and autonomous systems. Notable scientific contributions include work on: Characterising intrusion detection sensors False positive response mechanisms Scalable intrusion detection architectures Bayesian approaches to insider threat detection He actively supervises research students and contributes to high-impact projects funded by EPSRC and other strategic partners. His research integrates theoretical modeling with practical system deployment, particularly in military and critical infrastructure contexts. Dr Nobles is associated with the Department of Informatics and Sensors at Cranfield University, where he contributes to advanced research in network-centric warfare concepts and secure communication systems.

Ashwathy AshokanView profile

Academic

• Computer Science
• Artificial Intelligence
• Machine Learning
• +4 more

Ashwathy Ashokan is an Instructor in the Department of Computer Science at the University of Nebraska Omaha's College of Information Science & Technology. With a Master's in Computer Science from UNO and a PhD in Artificial Intelligence and Machine Learning underway, she bridges industry experience (Union Pacific, Microsoft, Wipro) with academia. Her research focuses on algorithmic fairness, recommender systems, and text mining. Research Interests span Text Mining , Information Retrieval , Recommender Systems , Search Engines , Algorithmic Fairness , and Machine Learning . Her recent work in Information Processing & Management (2021) highlights fairness metrics in rating predictions, while earlier publications (2013-2014) explore MapReduce-based topic extraction from timestamped documents. Scientific Awards include the Best Graduate Student for Service Award UNO Advantage Scholarship Special Faculty Development Fellowship Volunteer Activities include involvement with Omaha-based organizations like Girls Who Code, Open Door Mission, and Nebraska AIDS Project. She has served as a Committee Member for UNO's Women in IT Initiative.

• Space Instrumentation
• Radiation Detection
• On-Board Data Management Systems
• +5 more

Sebastián Sánchez Prieto is a Professor at the Department of Automatic Control, Universidad de Alcalá, Spain, affiliated with the Space Research Group (SRG-UAH). He holds a Doctorate from the same institution (1998) with a thesis on cosmic ion telescope control systems. His research focuses on space instrumentation, radiation detection systems, on-board data management, and embedded systems for space applications. He has contributed extensively to the Solar Orbiter mission, working on the Energetic Particle Detector (EPD) instrumentation and software validation. His technical expertise spans FPGA-based signal processing, RISC-V processor architectures, and model-driven engineering for space systems. Notable work includes advancing virtualization techniques for mixed-criticality space systems, digital beamforming architectures, and neural network applications in particle trajectory analysis. Publications emphasize cutting-edge topics like fault-tolerant computing in space environments, adaptive signal processing for space communications, and low-power positioning systems. He actively develops educational frameworks integrating on-board data management concepts across interdisciplinary university curricula. His contributions include over 50 peer-reviewed articles addressing hardware-software co-design, space software verification, and radiation effects mitigation. Current research explores AI-driven approaches for space instrumentation data analysis and next-generation on-board computing solutions.

AJ HamlinView profile

Teaching Professor

• Educational methods
• Spatial visualization
• Pollutant fate and transport
• +4 more

AJ Hamlin is a Teaching Professor in the Department of Engineering Fundamentals at Michigan Technological University (MTU). She holds a PhD in Environmental Engineering and MS/BS degrees from MTU as well. Her roles include overseeing the First-Year Engineering Program and conducting research on educational methods, spatial visualization, and environmental pollutants. Her research focuses on improving engineering education through spatial training, first-year program development, and remote learning strategies. Notable projects include modeling atmospheric chemistry and evaluating team evaluation software like Team+ and CATME. She has received awards such as the Media Showcase Award (2018) and Distinguished Service Award (2016). Dr. Hamlin's work emphasizes student success in engineering pathways, including studies on gender impacts in coding environments, near-peer mentoring effectiveness, and hybrid course engagement. Her publications span over two decades, addressing topics from spatial visualization pedagogy to Arctic troposphere pollutant transport.

Sarah KuckerView profile

Assistant Professor

• Cognitive Development
• Language Acquisition
• Digital Media
• +2 more

Sarah Kucker is an Assistant Professor in the Department of Psychology at Southern Methodist University, joining in January 2023. Her research focuses on cognitive development, language acquisition, digital media effects, and word learning in infants and toddlers. She employs a dynamic systems approach to examine how environmental contexts interact with individual differences in developmental outcomes. Education: Postdoctoral Fellowship, Callier Center for Communication Disorders, University of Texas Dallas M.A. and Ph.D., University of Iowa B.A. and B.S., Drake University Dr. Kucker's work explores topics such as novelty biases in word learning, embodied cognition, temperament influences on vocabulary, language delays in children, and caregiver-child STEM communication in museums. She currently holds an R15 grant from NICHD to study word learning mechanisms in digital media contexts. Her Google Scholar publications reveal trends in digital media effects on language development, temperament analysis, and dynamic models of word learning. Key sub-fields include socioeconomic status impacts, orthographic processing, shape biases, and dyadic communication. Scientific Awards: NICHD R15 grant for digital media and word learning research Dr. Kucker leads the SMU Kids In Development (KID) Lab, which emphasizes inclusive research practices and investigates pathways to successful cognitive and language development. She previously held faculty positions at Oklahoma State University and the University of Wisconsin Oshkosh.

Chris LoftusView profile

Lecturer

• Software Engineering
• Agile Methodology
• System Dynamics
• +3 more

Chris Loftus is a Lecturer in the Department of Computer Science at Aberystwyth University, with over two decades of academic experience. He teaches and coordinates second and third year modules including Software Engineering, Mobile Development with Android, and E-Commerce Implementation. His responsibilities include moderating modules and contributing to Open Days. Research interests focus on software engineering education methodologies, agile development practices, and system dynamics. He has published extensively on topics like extreme programming in education, distributed service design, and tool integration in software environments. His work bridges pedagogical innovation and practical software engineering challenges. Loftus has supervised multiple student projects including major/minor projects in software engineering and web development. His research outputs span from 1993 to 2017, reflecting sustained contributions to both educational and technical aspects of computing. Notable collaborations include work on CORBA-based systems and tool integration frameworks.

Samuel WairimuView profile

Researcher

• Cybersecurity
• Digital Health
• Privacy Engineering
• +6 more

Samuel Wairimu is a Researcher in Computer Science at the Department of Mathematics and Computer Science, Karlstad University. His doctoral research (completed in 2024) focused on cybersecurity and privacy risks in digital health systems as part of the DHINO project. He also holds a Master's in Cybersecurity from the University of Chester (UK, 2019), specializing in ISO 27001, ethical hacking, and incident response. His research interests span cybersecurity, digital health privacy, AI ethics, privacy impact assessments, and mitigating privacy harms from emerging technologies. He actively participates in projects like Health Data Sweden (HDS) and Digital Health Innovation (DHINO), with a focus on AI-driven healthcare systems and privacy-preserving methodologies. Teaching roles include Computer Security I & II (DVGC19/DVGC20), Digital Health Innovation (GVADWA), and Usable Security and Privacy (DVAE25). He supervises bachelor’s/master’s students on topics like mobile medical system security and privacy risk assessment methodologies. Publications emphasize empirical analysis of privacy threats, cybersecurity in healthcare, and AI-driven privacy challenges. Recent work includes evaluating privacy impact assessment methodologies and modeling harms from compromised medical data.

Mark JobeView profile

Professor

• Accounting History
• Military Contributions of Accounting Professionals
• Executive Compensation
• +3 more

Mark Jobe is a Professor and the Hilton & Sallie Dean Endowed Chair of Accountancy at Lipscomb University's College of Business. He holds a PhD in Accounting from the University of Mississippi (2011), alongside Masters and BBA degrees in Accounting. Prior to academia, he worked in manufacturing as a controller and general manager. He currently serves as Internship Director for accounting students and is an elder at Veterans Parkway Church of Christ. His research focuses on the historical contributions of accountants during major conflicts, particularly World War II, and the intersection of accounting practices with military strategies. He has explored topics such as executive compensation structures influenced by technological industries and the role of CPA organizations in wartime mobilization. His work often bridges organizational behavior principles with historical case studies of professional excellence under crisis conditions. Recent publications (2023-2015) highlight CPA leadership roles in naval contexts, wartime financial strategies of firms like Deloitte predecessors, and the evolution of tax policies during conflicts. Earlier works (2005, 1987) analyze organizational behavior in military settings and historical tax code adaptations. No scientific awards are explicitly mentioned in available texts. He has advised at multiple institutions including Ole Miss, Arkansas State, and Lipscomb. His professional service extends to elder roles in local congregations and academic internship coordination. No lab or team affiliations are detailed in provided materials.

Triantafyllos KanakisView profile

Senior Lecturer

• Internet of Things (IoT)
• 5G Networks
• Software-Defined Networking (SDN)
• +10 more

Dr. Triantafyllos Kanakis is a Senior Lecturer and Programme Leader for Computer Networks Engineering in the Department of Computing at the University of Northampton’s School of Science and Technology. He holds a PhD in Wireless and Mobile Communications from the University of Greenwich, an MSc from King's College London, an MBA from the University of Northampton, and a BEng from the University of Portsmouth. He is a Fellow of the Higher Education Academy, a Chartered Manager (CMgr), and a member of IEEE. His research interests span Internet of Things (IoT), 5G, Software-Defined Networking (SDN), MIMO systems, network security, and machine learning applications in telecommunications. He has published extensively in top journals such as IEEE Access and Electronics, with recent work focusing on intrusion detection in SDN, intelligent routing, and 5G network slicing using machine learning. His research integrates theoretical innovation with practical implementations in smart cities and sustainable networks. The trend in his publications from 2022 to 2024 highlights a strong focus on AI/ML-driven network optimization, security in software-defined environments, and next-generation wireless systems. His work bridges academic research with real-world industrial applications, particularly in IoT and smart infrastructure. Best Paper Award in Forward Error Correction, IEEE CEEC 2016 Member of the editorial board, Karbala International Journal of Modern Science Keynote speaker at international events on smart city technologies Active participant in academic committees and conferences Dr. Kanakis supervises multiple PhD students in areas including microload management, SDN virtualization, and big data analytics. He leads the UoN IoT Workshop and serves as the IEEE student branch manager. He has led initiatives to enhance teaching infrastructure, including securing HP SDN lab equipment through HEFCE funding. His teaching includes key modules in computer networks, wireless technologies, and network security. He leads the Technology Centre for Advanced and Smart Technologies and is actively involved in research innovation, podcasting on Industry 4.0 topics, and organizing academic events. His work emphasizes interdisciplinary collaboration, industry engagement, and advancing smart digital systems for future networks.

Sarah NadiView profile

Associate Professor

• Software Engineering
• Empirical Software Engineering
• Mining Software Repositories
• +7 more

Sarah Nadi is an Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD), where she also serves as the Associate Program Head for Undergraduate Studies in Computer Science. She holds an adjunct position at the University of Alberta and co-directs the SANAD lab, which focuses on building tools to enhance software developer productivity through empirical and data-driven methods. Education: BSc, The American University in Cairo MMath, University of Waterloo PhD, University of Waterloo Her research lies at the intersection of software engineering and empirical methods, with a strong emphasis on mining software repositories (MSR) to understand and improve software development practices. Key research themes include API misuse detection, library selection and migration, code recommender systems, and the role of large language models in software engineering. She investigates how developers use APIs, especially in data-centric Python libraries and cryptography, and builds tools like MuDetect and CogniCrypt to prevent misuse. Her work on library migration includes creating benchmarks such as PyMigBench and analyzing real-world migration patterns in Python. Her recent publications show a growing focus on AI in software engineering, with empirical evaluations of tools like GitHub Copilot and LLMs for test generation. She has also contributed significantly to understanding software variability in systems like Linux and Android, and to software integration challenges such as merge conflicts and refactoring-aware merging. Her work often combines static analysis, data mining, and user studies to build practical, evidence-based tools. Notable recognitions include a Best Paper Award at CASCON 2009 for her work on CMDB-based root cause analysis. She has published extensively in top-tier venues including FSE, ICSE, TSE, ASE, and MSR. Her research is supported by active grants, and she is currently recruiting fully funded PhD students for Fall 2025. Best Paper Award, CASCON 2009 Sarah Nadi mentors students through capstone projects and research supervision. She teaches core courses such as Software Engineering (CS-UH 2012), Special Topics in Computer Science (CS-UH 3260), and the Capstone Project in Computer Science (CS-UH 4001). She leads the SANAD lab, which develops tools for API analysis, library comparison, and developer support using empirical and machine learning techniques. Her lab’s projects include LibComp, MUBench, MuDetect, and CogniCrypt, and she emphasizes open science through publicly available datasets and tools.