Find Academic Supervisors

• Digital Health
• Human-Computer Interaction (HCI)
• User-Centered Design
• +11 more

Professor Marilyn Lennon is a leading academic in the Department of Computer and Information Sciences at the University of Strathclyde , holding the title of Professor in Digital Health and Care. She founded and directs the Digital Health and Wellness Group (DHaWG) , focusing on multidisciplinary research for designing, evaluating, and implementing digital technologies that enhance individual and population health and wellbeing. First class BSc in Psychology (University of Glasgow, 1998) PhD in Computing Science (University of Glasgow, 2002) Postgraduate diploma in academic practice (Fellow of Higher Education Academy) With over two decades of experience in Human-Computer Interaction (HCI) , usability, and user-centered design, her research spans wearable and mobile technologies for home healthcare, including remote monitoring (predictive falls monitoring), remote diagnosis (colon capsule technology evaluations), and smart home solutions for social care. She specializes in addressing technical and social barriers to real-world health technology implementation, emphasizing robust yet rapid evaluation methods. Recent publications highlight her work in 3D healthcare visualization, telehealth implementation, and medication management systems. Her research combines lab-based usability testing with real-world ('in the wild') evaluations of technologies like smart home systems and telehealth solutions. Key trends include cross-disciplinary collaboration, accessibility for sensory-impaired individuals, and AI-driven healthcare innovations. Scientific Awards MyCity: Glasgow - Gamechanger Award (Gold Medal) 2025 Images of Research 2025 Shortlist Emerald Outstanding Paper Award 2013 Best Paper Award (most replicable scientific paper) 2013 As course director for the Masters in Digital Health Systems , she has supervised 5 PhD students (2 completed) and over 100 honors projects. Current projects include the No Need to Fall initiative funded by the Health Foundation (£400k) and the PREMIO project co-creating clinical trials in advanced breast cancer. She maintains active collaborations with NHS, charities, and international institutions like the University of Waterloo.

Arnab NandiView profile

Professor

• Database Systems
• Human-in-the-Loop Data Analytics
• Next-Generation Query Interfaces
• +10 more

Arnab Nandi is a Professor in the Department of Computer Science & Engineering at The Ohio State University. His work bridges human interaction with data infrastructure, focusing on database systems, LLM-augmented analytics, and immersive query interfaces. Education: PhD in Computer Science & Engineering from the University of Michigan Leadership: Co-founder of OHI/O Hackathon Program and STEAM Factory interdisciplinary network Research spans human-in-the-loop data analytics , vibe querying (natural language + gestural interfaces), LLM integration into education, and climate response systems . Key projects include Omni (multimodal exploration), GestureDB , and Icarus (clinical pipelines). Recent publications analyze LLM-driven query stacks (HILDA 2025), video analytics (SIGMOD 2022), and data sunglasses for cognitive limits (HILDA 2025). Awards include NSF CAREER Google Faculty Research Award IEEE TCDE Early Career Award ACM Distinguished Member Advises students in database innovation , with alumni at Amazon, AWS, Roblox, and Meta. Teaches CSE 3241 (Database Systems), CSE 5889 (Software Startups), and CSE 5242 (Advanced Databases).

• Human-Computer Interaction
• Haptic Technology
• Electrostatic Actuation
• +3 more

Craig Shultz is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), where he joined in January 2024. He is affiliated with the College of Engineering and conducts research through the Interactive Display Lab, which he founded upon joining UIUC. Prior to his academic position, Shultz co-founded Fluid Reality and served as VP of Research and Development at Tanvas, where he developed electroadhesive touchscreens based on his research at Northwestern University. Dr. Shultz's educational background includes: Ph.D. in Mechanical Engineering from Northwestern University (2017) M.S. in Mechanical Engineering from Northwestern University (2015) B.S. in Electrical Engineering from the University of Tulsa (2011) Shultz's research focuses on advancing human-computer interaction through innovative haptic technologies. His work centers on developing tactile interfaces that leverage electrostatic actuation and novel input/output devices to create immersive user experiences. His primary research areas include: Human-Computer Interaction - Exploring contemporary use cases and building novel input and output devices Electrostatic Actuation - Modeling and characterization of moderate to high voltage electrostatic actuators Haptic Technology - Designing and evaluating tactile interaction devices Interactive Embedded Systems - Creating systems that respond to human touch in sophisticated ways Shultz's research has demonstrated how haptic technologies can enhance user experiences across various domains including virtual reality, mobile devices, and interactive displays. His work aims to elevate haptic rendering to the sophistication level of graphics and audio systems through practical hardware and software solutions. Dr. Shultz has received numerous prestigious awards for his research contributions: IEEE Robotics and Automation Society Technical Committee on Haptics Early Career Award (2025) TCH Early Career Award at World Haptics 2025 Sony Faculty Innovation Award for Finger Mounted Haptic Displays (2025) Multiple Best Paper awards at premier ACM and IEEE conferences (2014-2022) As an educator and mentor, Shultz has advised multiple graduate students in the Interactive Display Lab, including Jung-Hwan (the lab's inaugural member), Seung Heon, and Yanjun (his first PhD student). His research has attracted significant attention, being featured in major media outlets including NBC Nightly News, TechCrunch, and Engadget. Shultz teaches courses such as ECE 210 (Analog Signal Processing), ECE 211 (Analog Circuits & Systems), ECE 445 (Senior Design Project Lab), ECE 598 CS (Interactive Haptic Systems), and ME 470 ZJ3 (Senior Design Project). The Interactive Display Lab, housed in room 3038 of the Electrical and Computer Engineering building at UIUC, is equipped with electronics assembly and debugging equipment, a prototyping lab, optical bench, student offices, and a photo and VR studio. The lab benefits from access to departmental mechanical, electrical, and clean room fabrication facilities. Current research directions include developing fast interactive soft buttons (DynaButtons), high-resolution haptic gloves (Fluid Reality), and flat panel haptics with embedded electroosmotic pumps.

• Radio Frequency Identification (RFID)
• Antenna Design
• Flexible Electronics
• +3 more

Johan Sidén is a Lecturer and Associate Professor at Mid Sweden University , employed in the Department of Computer and Electrical Engineering (DET) . His work focuses on RFID technology , antenna design , and printed/flexible electronics , with a particular emphasis on industrial IoT and welfare technology applications. Research Keywords : Radio Frequency Identification, Antenna Design, Flexible Electronics, Wireless Sensor Networks, Microwave Engineering, Electronic Design Key Projects : DRIVEN (data-driven industrial transformation), SmartArea (functional surfaces), Pressure (ulcer monitoring), MakeSense! (welfare technology) Publications : 15+ recent works on wearable antennas, smart packaging, UWB antenna design, and RFID sensor integration Collaborations include partnerships with industrial and academic institutions, focusing on sustainable electronics, sensor systems, and smart infrastructure. His technical expertise spans antenna optimization , printed circuits , and edge computing for harsh environments.

• Consumer Neuroscience
• Neuroeconomics
• Quantitative Marketing Research
• +5 more

Peter Kenning is Professor of Business Administration with a focus on Marketing at Heinrich Heine University Düsseldorf, where he has held the Chair of Business Administration since 2014. Previously, from 2007 to 2014, he was Chair of Marketing at Zeppelin University (ZU). He earned both his doctorate and habilitation in business administration from the University of Münster. Professor Kenning's research spans consumer neuroscience, neuroeconomics, and quantitative marketing research, with particular emphasis on the neural processes underlying consumer decision-making. His work bridges marketing theory and neuroscience, employing methodologies such as fMRI and fNIRS to investigate consumer responses to marketing stimuli. He has authored influential textbooks including 'Consumer Neuroscience - a transdisciplinary textbook' (2020) and 'An Integrative Guide to Consumer Neuroscience' (2022), which have helped define and advance the field. His recent publications demonstrate a significant shift toward examining digital marketing phenomena including dark patterns, chatbot interactions, and location-based retail applications. His research increasingly addresses sustainability issues in consumption and the ethical implications of marketing practices, reflecting a growing concern with responsible consumer behavior and evidence-based consumer policy. As an active contributor to consumer policy discussions, Professor Kenning has served on the Expert Council for Consumer Affairs of the Federal Ministry of Justice and Consumer Protection, contributing to reports on social inequality, sustainable consumption, and digital consumer protection. His policy-relevant research demonstrates his commitment to applying academic insights to real-world consumer issues. His work with the Scientific Advisory Board of the BMELV has focused on sustainable consumption patterns and methods for promoting more responsible consumer behavior. He regularly presents his work at international conferences and collaborates with researchers across Europe and North America, contributing to the global advancement of consumer neuroscience as an interdisciplinary field.

Julian FierrezView profile

Professor

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +6 more

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

Tuomas Lauri Aleksanteri VäisänenView profile

Researcher

• Urban geography
• Regional studies
• Mobility research
• +7 more

Tuomas Väisänen is a Postdoctoral Researcher at the University of Helsinki's Faculty of Science and Department of Geosciences and Geography . He contributes to multiple research initiatives including the Helsinki Inequality Initiative (INEQ), Institute for Urban Studies (Urbaria), and Institute of Sustainability Science (HELSUS). His academic work bridges computational geography with urban studies, focusing on multilingualism, digital data sources, and mobility patterns. Doctor of Philosophy (2019–2023), Multidisciplinary Doctoral Programme in Environmental Studies, University of Helsinki Master of Philosophy (2016–2018), Department of Geosciences and Geography, University of Helsinki Bachelor of Science (2012–2016), Department of Geosciences and Geography, University of Helsinki His research explores urban diversity through linguistic landscapes , dynamic populations , and residential area changes . He integrates sociolinguistics with geographical methods , emphasizing mobile phone data , social media analysis , and machine learning . Recent projects like BORDERSPACE and MOBI-TWIN investigate cross-border interactions and European territorial integration . His 15 most recent publications highlight trends in computational urban geography , geospatial datasets , and linguistic diversity mapping , with a focus on Erasmus+ mobility , national park interactions , and transnational functional areas . Contributions to open datasets (e.g., Mobi-Twin, Erasmus+ flows) underscore his commitment to digital methods and European regional development . While no formal awards are listed, his peer-review activities for journals like Computers, Environment and Urban Systems and Biological Conservation demonstrate academic engagement. He teaches spatial data methods to Master's students and provides guest lectures on computer vision and GIS . Collaborations span the European Commission, Academy of Finland, and University of Tartu Foundation.

• Software Engineering Education
• Software Process Simulation
• Educational Games
• +3 more

Emily Oh Navarro is a Continuing Lecturer in the Department of Informatics at the Donald Bren School of Information and Computer Sciences, University of California, Irvine. She has been actively involved in software engineering education, focusing on innovative teaching methods and simulation-based learning environments. Dr. Navarro earned her Ph.D. in Information and Computer Sciences from UC Irvine in 2006, with her dissertation titled "SimSE: A Software Engineering Simulation Environment for Software Process Education." She also holds an M.S. in Information and Computer Sciences and a B.S. in Biological Sciences, both from UC Irvine. Dr. Navarro's research primarily focuses on software engineering education, particularly using simulation and game-based approaches to teach software processes. Her work centers around SimSE, an educational software engineering simulation environment designed to help students learn and practice software engineering processes in an interactive, graphical setting. She has extensively explored how learning theories can be applied to improve software engineering education, investigating various educational approaches and their effectiveness. Her research demonstrates how simulation environments can overcome the limitations of traditional lectures and small-scale class projects by allowing students to experience complex software engineering processes that would be infeasible to practice in real-world academic settings. Dr. Navarro's publications reveal a consistent focus on simulation-based learning tools for software engineering education. Her work spans from theoretical explorations of learning theories to practical implementations of educational tools like SimSE and Problems and Programmers. She has conducted multi-site evaluations of her educational tools, demonstrating their effectiveness across different institutions and student populations. Her research shows progression from conceptual frameworks to practical implementations and rigorous evaluations, establishing her as a significant contributor to the field of software engineering education. Dr. Navarro teaches numerous courses in software engineering and design, including: Informatics 43: Introduction to Software Engineering Informatics 113: Requirements Analysis and Engineering Informatics 117: Project in Software System Design Informatics 121: Software Design I Informatics 122: Software Design II Informatics 191: Senior Design Project ICS 45J: Programming in Java ICS 139W: Critical Writing on Information Technology SWE 241P: Applied Data Structures and Algorithms SWE 245P: GUI Programming SWE 246P: Mobile Programming SWE 272P: Project Management Her teaching methodology reflects her research interests, emphasizing practical experience with software engineering processes through simulation-based learning. While specific information about her advising and grants is limited in available materials, her extensive research on educational methods suggests involvement in educational research projects and likely mentorship of students in software engineering projects. Dr. Navarro's primary research contribution is the SimSE project, which has evolved through multiple iterations and evaluations. This simulation environment represents a significant innovation in software engineering education, addressing the critical gap between theoretical knowledge and practical application in software process management. Her work continues to influence how software engineering is taught at UC Irvine and potentially at other institutions through her multi-site evaluations.

Robert HamiltonView profile

Professor

• Video Art
• Photography
• Animation
• +9 more

Robert Hamilton is a Professor in the Department of Communication Studies & Media Arts at McMaster University's Faculty of Humanities in Hamilton, Canada. With an extensive career as both an academic and practicing artist, he has established himself as a significant figure in contemporary media arts education and creation since joining McMaster University. Hamilton holds dual MFA degrees from the Art Institute of Chicago and the Jan van Eyck Academie in Maastricht, Netherlands, complemented by a Diploma from the Alberta College of Art + Design. His academic journey spans from 1981-1985 at the Alberta College, followed by advanced studies from 1991-1993 at the Jan van Eyck Academie. His research and creative practice centers on visual media with particular focus on video art, photography, and animation. Hamilton's work consistently explores themes of identity, community, and the evolving urban environment, often reflecting on societal events and contemporary issues. His artistic approach combines technical mastery with conceptual depth, resulting in works that challenge viewers' perceptions of everyday spaces and social structures. He has developed a distinctive methodology that blends documentary techniques with artistic interpretation, creating works that are simultaneously observational and transformative. Hamilton's recent body of work demonstrates a clear trajectory toward examining human relationships with urban spaces, particularly during times of societal transformation like the pandemic. His projects increasingly incorporate digital technologies and AI elements while maintaining a strong foundation in traditional media arts. The thematic continuity across his work reveals a persistent concern with how individuals navigate and make meaning within constructed environments. German Video Art Prize Silver Hugo Award at the Chicago Film Festival Work featured in National Gallery of Canada collection As an educator, Hamilton has mentored numerous students through senior thesis projects and specialized courses in media production. His teaching portfolio spans animation, video art, digital cinema, photographic techniques, and emerging media. While specific grant information isn't detailed in the available materials, his sustained creative output suggests successful acquisition of research funding to support his artistic practice. His work has been exhibited internationally at venues including Maison des Arts de Laval, Museum of Contemporary Art in Castello, Spain, and Transmediale in Berlin. Hamilton maintains an active studio practice that directly informs his teaching approach. His creative process involves both digital and traditional techniques, often experimenting with the intersection of physical and virtual spaces. He has developed specialized approaches to documenting urban environments that reveal hidden patterns and structures within everyday landscapes, creating what might be described as visual commentaries on contemporary life.

Jing YangView profile

Professor

• Data Visualization
• Visual Analytics
• High Dimensional Data Analysis
• +7 more

Jing Yang is a full Professor and Director of MS CS Program in the Computer Science Department at the University of North Carolina at Charlotte (UNCC). She has been actively involved in data visualization and visual analytics research since joining UNCC in 2005 after completing her PhD at Worcester Polytechnic Institute. Dr. Yang earned her Bachelor's degrees in Engineering Mechanics and Computer Science from TsingHua University in 1997 and completed her Ph.D. in Computer Science from Worcester Polytechnic Institute in May 2005 under advisors Matthew O. Ward and Elke A. Rundensteiner. Her research focuses on developing visual analytics techniques for abstract data including multidimensional data, time-oriented data, networks, hierarchies, text documents, and trajectory data. She conducts design studies for application domains such as sports, bioinformatics, finance, network security, and health, while exploring fundamental visualization topics like interactions, insight management, clustering-based approaches, and animations. Her recent work emphasizes sports analytics, urban data, and multivariate time series visual analytics. Analysis of Dr. Yang's publication record reveals a strong focus on practical applications of visualization techniques across diverse domains. Her work consistently bridges theoretical visualization frameworks with real-world data challenges, particularly in transportation (taxi trajectories), sports (tennis match analysis), financial transactions, and bioinformatics. The publications demonstrate an evolution from foundational visualization techniques to increasingly sophisticated domain-specific applications. Dr. Yang has secured substantial research funding from NSF, EPA, DHS, and industry partners including Google and Bank of America. Her grants portfolio includes significant projects like TrajAnalytics (NSF, $200,950), Visualizing Event Dynamics (NSF EAGER, $75,317), and Visualizing High Dimensional Categorical Datasets (Google Faculty Research Award, $60,000), among others totaling over $4 million in research support. As an educator, Dr. Yang has taught numerous courses including Visual Analytics, Information Visualization, and Database Design. She directs the Charlotte Visualization Center and has mentored numerous students through research projects. Her collaborative approach is evident in her extensive co-authorship network spanning multiple institutions and disciplines. Current research directions include narrative animation for streaming text visualization and advanced techniques for exploring high-dimensional categorical datasets.

Shabnam Sadeghi EsfahlaniView profile

Associate Professor

• Robotics
• Mechatronics
• Artificial Intelligence
• +3 more

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Integrated Circuits
• Signal Processing
• Data Analytics
• +4 more

Xin Li is a Professor in the Department of Electrical and Computer Engineering at Duke University and serves as the Associate Vice Chancellor at Duke Kunshan University. He holds a Ph.D. from Carnegie Mellon University (2005) and has held leadership roles in research consortia like the FCRP Focus Research Center and the Center for Silicon System Implementation (CSSI). His research bridges integrated circuits , machine learning , and cyber-physical systems , with applications in autonomous driving, battery lifetime prediction, and smart buildings. Education : Ph.D., Carnegie Mellon University (2005); M.S., Fudan University (2001); B.S., Fudan University (1998) His work emphasizes robust design methodologies for analog/RF circuits, data-driven predictive modeling , and Bayesian inference for high-dimensional variation spaces. Recent publications focus on generative adversarial networks for circuit design, multi-view imputation for incomplete data, and knowledge-driven autonomous systems . He has received numerous accolades, including the NSF CAREER Award (2012) , IEEE Donald O. Pederson Best Paper Awards (2013, 2016) , and IEEE Fellow (2017) . He has served as Editor for journals like IEEE Transactions on Biomedical Engineering and as Chair for conferences including ISVLSI and CAD/Graphics.

• Digital Media Studies
• Digital Platforms
• Journalism Studies
• +7 more

Ceren Saran Doğan is an Assistant Professor at the Faculty of Communication , Uskudar University , specializing in Radio, Television and Cinema . Her academic background includes a PhD (2022), MA (2015), and BA (2009) in Media and Communication Studies from Galatasaray University and Journalism from Istanbul University. Education: BSc in Journalism (Istanbul University, 2009) MSc in Media and Communication Studies (Galatasaray University, 2015) PhD in Media and Communication Studies (Galatasaray University, 2022) Her research focuses on the political economy of media , critical digital media studies , algorithms in journalism , and digital platform dynamics . She has published extensively on topics like algorithmic bias, media ownership, and digital inequalities, with notable works including the 2024 book chapter Reasons for News Avoidance on Mobile News Consumption and the 2022 book chapter Algorithms and Audience Monitoring in Newsrooms . Her recent 2023-2025 publications analyze digital platform trust , AI integration in newsrooms , and platform capitalism , reflecting her expertise in algorithmic systems and media sociology. She also serves as Vice Dean and chairs multiple committees at Uskudar University, including Social Media Commission and Curriculum Development Commission . She teaches courses like Digital Content Production and Graduation Project II .

Katy E. PearceView profile

Associate Professor

• Information and Communication Technologies (ICTs)
• Digital Divides and Inequalities
• Social Movements in Non-Democratic Contexts
• +3 more

Katy E. Pearce is an Associate Professor in the Department of Communication at the University of Washington's College of Arts & Sciences. She specializes in the social and political implications of technology in non-democratic contexts, particularly focusing on former Soviet Union states. Her research explores digital divides, social media affordances for resistance, and online impression management in authoritarian regimes. Ph.D. in Communication, University of California, Santa Barbara (2011) M.A. in International Studies, University of London School for Oriental and African Studies (2006) B.A. in Armenian, Arabic, Persian, Turkish & Islamic Studies; American Culture, University of Michigan (2001) Her work examines how digital technologies shape: Information control in semi-authoritarian states Gender and cultural norms in online spaces Misinformation dynamics across platforms ICT's role in opposition movements Face negotiation in digital honor cultures Recent publications demonstrate increasing focus on: Digital health communities in Azerbaijan Misinformation correction strategies Cross-platform affordance analysis State-sponsored online harassment ICT4D in post-Soviet contexts Contact: Office CMU 340-E, kepearce@uw.edu.

• Information Retrieval Systems
• Machine Learning
• Data Mining
• +1 more

Assoc. Prof. Dr. Yıltan Bitirim is a faculty member at the Computer Engineering Department of Eastern Mediterranean University in North Cyprus. With over two decades of academic experience, he has served in various roles including Vice Chair (2014-2022), Academic Affairs Coordinator (2025-), and committee member for ABET assessment, curriculum development, and faculty recruitment. Current academic rank: Associate Professor Active administrative roles: Senate Member (2023-), Information Technology Commission Member (2023-) Professional memberships: ACM, IEEE Senior Member, Cyprus Turkish Chamber of Computer Engineers Research Interests focus on four primary areas: Information Retrieval Systems – evaluating search engine effectiveness and reverse image search performance Machine Learning – applied to emotion classification, gender recognition, and medical diagnosis Data Mining – used in Turkish word-stemming analysis and user behavior studies Biometrics – specializing in hand/wrist/palm vein recognition systems and voice-based identification Publications demonstrate consistent contributions across disciplines, with recent works (2023-2025) emphasizing: Deep learning applications in biometric authentication Advanced emotion recognition systems Medical AI for diabetes management and retinopathy diagnosis Biometric spoof detection mechanisms Turkish language processing challenges Recommendation system innovations Awards & Recognition : Research Incentive Awards (2020, 2021) Best Paper Award at ICIW 2007 IEEE Senior Member status As an educator, he has supervised numerous thesis committees and taught foundational courses in computer engineering, including CMPE 112 and CMPE 342. His certifications (MCTS, MCITP) reflect technical expertise in Microsoft technologies.