Find Academic Supervisors

• Machine Learning
• Visual Computing
• Image Analysis
• +6 more

Soumya Dutta is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IITK), where he leads the INSIGHT: Intelligent Scientific and Visual Computing of Big Data Research Group. He joined IIT Kanpur in October 2022 after working as a Scientist II at Los Alamos National Laboratory (LANL) from July 2019 to August 2022, and previously as a Postdoctoral Research Associate at LANL from June 2018 to July 2019. His educational background includes a Ph.D. and M.S. in Computer Science and Engineering from The Ohio State University (2011-2018), where he was part of the GRAVITY research group, and a B.Tech. in Electronics and Communication Engineering from West Bengal University of Technology, India (2005-2009). Research Interests: Dr. Dutta's research focuses on the intersection of machine learning, visual computing, big data, and high-performance computing. His primary research areas include Machine Learning for Visual Computing and Image Analysis, Big Data Visualization and Analytics, Data Science and HPC, Machine Learning for Scientific Computing, and Explainability and Interpretability of AI Models. His work addresses various big data characteristics including the 5 Vs: Volume, Velocity, Variety, Veracity, and Value. He develops techniques that make complex machine learning models more interpretable and explainable, enabling their effective adoption in real-life applications across scientific domains, social media, IoT, healthcare, and industry applications. Dr. Dutta's research group has secured multiple funded projects including: DAVi: An Intelligent Data Analytics and Visualization Framework (funded by ISRO), Intelligent Visual Computing of Extreme-scale Data for Accelerating Scientific Discovery (IIT Kanpur Initiation Grant), Enabling Interactive Big Data Analytics and Visualization at Exascale (SERB), Development of AI-Enabled National Portal for Efficient Search of Missing People (C3iHub), and Proactive and Generalized Deepfake Defense Mechanisms (C3iHub). Best Reviewer, Honorary Mention Award for IEEE Transactions on Visualization & Computer Graphics (TVCG), 2021 Best Paper Award at ISAV 2021, co-located with Supercomputing (SC) LAAP Award at Los Alamos National Laboratory, 2021 Best Paper Award at TopoInVis 2019 Best Paper Award at ISAV 2018, co-located with Supercomputing (SC) Best Poster Award in 12th Annual CSE Student Poster Exhibition, The Ohio State University, 2018 Best Poster Award in 11th Annual CSE Student Poster Exhibition, The Ohio State University, 2017 Best Paper Honorable Mention Award at IEEE Visualization Conference (IEEE VIS) 2016 Dr. Dutta actively mentors a large group of students including Ph.D., M.Tech., and B.Tech. students. His current Ph.D. students include Shanu Saklani, Sankhadeep Bhowmick, Ananya Chaturvedi, Arpita Santra, Anubhav Dixit (co-supervised), and Robin Shah. He has supervised numerous M.Tech. students with thesis topics ranging from uncertainty-aware neural networks to deepfake detection. Dr. Dutta currently teaches courses including CS360 - Introduction to Computer Graphics and CS661 - Big Data Visual Analytics. The INSIGHT research group collaborates internationally with researchers from Meta, Oak Ridge National Laboratory, and National Taiwan Normal University. The group's work focuses on building machine learning and data science-based solutions to analyze large-scale multifaceted data in a scalable way, enabling interactive and interpretable analytics of complex data from scientific simulations, social media, IoT, healthcare, and other application domains.

Paul S. AdlerView profile

Professor

• Socialism
• Climate Change/Sustainability
• Political Economy
• +8 more

Paul S. Adler holds the prestigious Harold Quinton Chair of Business Policy as Professor of Management and Organization at the University of Southern California's Marshall School of Business, with courtesy appointments in Sociology and Environmental Studies. His international academic journey began in Australia, continued with doctoral studies in Economics and Management in France where he worked as a Research Economist for the French government, and brought him to the United States in 1981. Prior to joining USC in 1991, he held positions at the Brookings Institution, Columbia University, Harvard Business School, and Stanford's School of Engineering. Adler's research program spans three interconnected domains: critical examinations of capitalism and socialism, organizational theory with focus on bureaucratic structures and collaborative alternatives, and the business-environment-sustainability nexus. His work demonstrates a clear evolution from foundational organizational studies toward increasingly urgent engagement with systemic crises, particularly climate change. He explores how collaborative community can serve as the basis for organizational ambidexterity while critically examining the limitations of capitalist frameworks in addressing ecological crises. His scholarship increasingly focuses on democratic socialism as a viable alternative economic system that can overcome capitalism's crises. Analysis of his recent publications reveals a strong thematic trajectory toward climate crisis responses through political-economic lenses. His work examines alternative futures for digital transformation using Schumpeterian frameworks, investigates bureaucratic organization for the 21st century, and develops arguments for democratic socialist approaches to environmental challenges. A consistent thread throughout his scholarship is the exploration of collaborative organizational forms that balance efficiency with democratic values, challenging conventional market-based solutions to systemic problems. Professor Adler is actively shaping educational responses to sustainability challenges through course development and leadership. He co-leads the graduate course 'Sustainability, Business, and the Future of Capitalism' with Dean Geoffrey Garrett, bringing together faculty experts and industry leaders to address multifaceted sustainability challenges. This course examines how environmental problems present both costly challenges and innovative opportunities for business, emphasizing that climate change will impact every facet of business operations regardless of functional specialization. His teaching approach encourages students to develop nuanced understandings of economic systems and their relationship to environmental sustainability.

Tegwen MalikView profile

Senior Lecturer

• Artificial Intelligence
• Biomimicry
• Water Management
• +5 more

Dr. Tegwen Malik, a Senior Lecturer at Swansea University's School of Management and Senior Fellow of the Higher Education Academy (SFHEA), bridges artificial intelligence research with biomimetic innovations. Her multifaceted roles include Deputy Programme Director for MSc Management, Director of Education and Content at the i-Lab Research Centre, and leadership in the "Global and Social Challenges" theme. Senior Lecturer, School of Management (since 2022) Deputy Director, MSc Management Programme Director of Education, i-Lab Research Centre UKAT Recognised Practitioner in Advising Her research explores Artificial Intelligence applications across sectors, particularly in higher education, and biomimicry innovations for water management in arid regions. Collaborative work spans engineering (Welsh Centre for Printing and Coating), medicine, and management, with external partnerships at Lifescaped, MIT, and ESPCI. Recent publications analyze agentic AI systems , generative AI impacts , and bioinspired water collection mechanisms. The 2023 I3E Conference awarded her for transformative AI research in education. Best Research Paper Award, I3E 2023 Brazil Co-PI on international projects (Lifescaped, MIT, ESPCI) Supervisor for 4 active PhD students Editorial reviewer for Government Information Quarterly and Information & Organisation Dr. Malik also investigates digital marketing adoption , operations management , and international standards , with practical experience in product commercialization and transnational projects. Her teaching focuses on mathematics and analytics for business , reaching over 600 MSc Management students annually.

Katrien VerbertView profile

Professor

• Human-Centered AI
• Explainable AI
• Interactive Recommender Systems
• +5 more

Katrien Verbert is a Professor at KU Leuven in the Department of Computer Science within the Faculty of Engineering Sciences. She leads the AUGMENT research group, an imec research group focused on Human-Centered AI. Her work spans multiple institutes including DigiSoc – KU Leuven Institute for Digital Society and Leuven.AI - KU Leuven Institute for Artificial Intelligence. She also serves as Program Director of the POC Digital Humanities for the Faculty of Engineering. Her research focuses on creating AI systems that amplify and augment human abilities while preserving human control. This work aims to make AI systems more productive, enjoyable, and fair through visualisation and interaction techniques across various hardware platforms. Verbert investigates how to enable end-users to understand AI model rationale and steer models with input and feedback to increase appropriate trust, acceptance, and accuracy while empowering users as active participants in data-driven solutions. Verbert's research spans applications in learning analytics, precision agriculture, healthcare, media consumption, digital humanities, food & nutrition, fintech, and human resources. Her work emphasizes interactive explanation methods that improve model understanding while enhancing users' ability to steer and refine AI models through domain knowledge. She leads multiple major research projects through 2029 focusing on human-centered explainable AI across diverse application domains. Human-centered Explainable AI Interactive Model Steering Healthcare Applications of AI Educational Technology and Learning Analytics Digital Humanities and AI Collaboration Motivational Design Techniques Verbert has presented her work at prestigious conferences including CHI, Aachen AI Week, and EXPLAIN'AI events. She actively supervises PhD candidates and master's students, with several supervised theses receiving recognition. Her research group continues to advance the field of human-AI interaction through numerous publications and real-world applications.

• Photonics
• Optical Communications
• Fiber Optic Technology
• +4 more

Professor Juan Ignacio Garcés Gregorio is a researcher and professor at the University of Zaragoza specializing in Photonics related to optical communications. He has been associated with the Institute of Research in Engineering of Aragon (I3A) since its inception in 2002 and served as its director from 2011 to 2019. His career spans research, teaching in Telecommunications Engineering since 1993, and academic leadership, reflecting his multifaceted engagement with university life. With a background in Physical Sciences, Professor Garcés has dedicated his career to advancing optical communication technologies, bridging fundamental research and practical applications with strong emphasis on technology transfer to industry. His educational journey began with industry R&D positions before transitioning to academia, where he has maintained connections between theoretical research and real-world implementation. Professor Garcés' research focuses on addressing the continuous demand for higher bandwidth and transmission rates in modern communication networks. His work spans optical fiber communications, integrated photonic circuits, and the integration of mobile communications with fiber optic systems. He emphasizes developing technologies that can transition from laboratory concepts to commercial applications, maintaining strong industry partnerships throughout his career. His research group operates at the intersection of fundamental science and practical engineering solutions for current communication challenges. Professor Garcés leads the Photonic Technologies Group (GTF), which focuses on three main research lines: optical fibers and communications (his primary area), multilayer optical coatings developed in collaboration with the Faculty of Science, and industrial optical and optoelectronic sensors and instruments. The group maintains strong industry connections, ensuring research has tangible impact beyond academia. His most significant contribution is the development of the BOSA (Brillouin Optical Spectrum Analyzer), a high-resolution optical spectrum analyzer developed in collaboration with a regional company that is now marketed globally. Currently, he is working on advancing integrated photonic circuits based on silicon technology, aiming to develop optical receivers that can be manufactured as single integrated circuits rather than assembled components, with the goal of increasing technology readiness levels and commercial viability. Professor Garcés values the collaborative environment at I3A, where scientific excellence combines with strong technology transfer components. He continues to actively engage in research addressing fundamental challenges in optical communications while ensuring relevance to real-world applications and commercial opportunities, particularly in the context of growing demands driven by 5G/6G networks and data center infrastructure.

• Molecular Biology
• Cellular Biology
• Nutrition Science
• +4 more

Nicolas BARBEZIER is an Associate Professor in Molecular and Cellular Biology affiliated with the EGEAL research unit. His work focuses on understanding the impacts of dietary components and environmental contaminants on intestinal health, microbiota dynamics, and chronic disease mechanisms. He holds a PhD from the University of Perpignan Via Domitia and specializes in translational research bridging basic biology, nutrition science, and veterinary medicine. Research interests include the effects of advanced glycation end-products (AGEs), plant-derived tannins, and nutritional interventions on gut integrity, immune responses, and microbiome composition. His studies often utilize in vitro models of intestinal barriers and animal husbandry systems to evaluate novel nutritional solutions for improving health outcomes in both humans and livestock. Key contributions span over 20 peer-reviewed articles since 2006, with recent work emphasizing early-life exposure to contaminants, microbiota modulation in weaned piglets, and the mechanistic basis of muscular dystrophies linked to proteostasis defects. His interdisciplinary approach integrates molecular biology techniques, advanced analytical chemistry, and systems biology to address multifaceted health challenges. Current affiliations include collaborative research within the EGEAL unit, focusing on developing biomimetic in vitro systems and exploring natural compounds for biomedical and agricultural applications.

Ben LutzView profile

Professor

• Sociotechnical Thinking
• Engineering Education
• Social Justice in Engineering
• +2 more

Professor Ben Lutz serves in the Mechanical Engineering Department at the College of Engineering, where he has taught for six years and currently leads a National Science Foundation-funded project titled "Charting the Development of Sociotechnical Thinking in Engineering Students and Professionals." His work integrates social justice principles into engineering education through scenario-based pedagogy that challenges students to move beyond purely technical solutions. Lutz's research centers on sociotechnical thinking—training engineers to consider social, political, and cultural dimensions alongside technical aspects when solving problems. His classroom demonstrations, such as contrasting high-tech bike lane sensors with the simple Dutch Reach technique, reveal how over-engineering stems from limited problem-framing. He investigates how these multifaceted reasoning skills develop across career stages through discourse analysis of scenario-based design tasks involving renewable energy systems and elderly care technologies. His recent publication trends (2021-2024) demonstrate consistent focus on engineering education reform, particularly inclusive teaching practices, school-to-work transitions, and diversity integration. Key themes include the development of sociotechnical thinking frameworks, the impact of social justice pedagogy on student outcomes, and the role of capstone design in professional preparation. His work bridges engineering practice with critical social theory through instruments like the Engineering Social Justice Scale. Lutz currently directs a $172,000 NSF grant engaging 60-70 engineering professionals and 75-100 students in three-year research examining how career-stage influences sociotechnical reasoning. The project actively involves three undergraduate and two graduate research assistants in data collection and discourse analysis. His mentoring extends to students in the "Engineering, Design and Social Justice" course who participate in research exploring non-formulaic problem-solving approaches. His research operates through cross-career-stage teams tackling real-world design challenges like rural renewable energy systems and elderly smart home technologies. The NSF project employs scenario-based tasks to map how professionals and students discuss solutions, with discourse analysis revealing qualitative differences in sociotechnical reasoning depth. This collaborative structure connects academic research with industry practice through participant-driven solution development.

William NuttallView profile

Professor

• Energy Policy
• Hydrogen Energy
• Nuclear Energy
• +3 more

William Nuttall serves as Professor of Energy Policy and Transformation at the University of Bristol within the School of Electrical, Electronic and Mechanical Engineering. He holds additional prestigious positions including Fellow and Affiliated Lecturer at the University of Cambridge (Hughes Hall and Cambridge Judge Business School), and Non-Resident Fellow at the Payne Institute, Colorado School of Mines. His academic career is deeply rooted in energy systems engineering and policy. His educational background is represented by a BSc and a PhD, though the specific institutions and fields of study are not detailed in the provided materials. Professor Nuttall's research interests are centered on the critical challenges of global energy transition. He specializes in energy policy analysis, hydrogen energy systems (production, storage, and applications), nuclear energy (both fission and fusion), and the engineering design of sustainable energy systems. His work often addresses the economic and regulatory frameworks necessary for the deployment of new energy technologies. As a member of the Engineering Systems, Design and Innovation (ESDI) research centre, he contributes to interdisciplinary projects that integrate engineering, economics, and policy. His recent 2025 publications demonstrate a focus on emerging energy technologies: examining hydrogen energy prospects in India, fusion energy commercialization pathways, and the management of engineering uncertainty in nuclear safety and efficiency. These works collectively highlight the multifaceted challenges of decarbonizing the global energy system and the role of engineering innovation in achieving net-zero goals. No scientific awards were explicitly mentioned in the provided text. Information regarding his students and grant funding was not provided in the available materials. He is actively involved with the Engineering Systems, Design and Innovation (ESDI) research centre at the University of Bristol (http://esdi.ac.uk), which focuses on interdisciplinary approaches to engineering systems design, innovation, and the development of sustainable technological solutions.

Ron Van HoutenView profile

Professor

• Traffic Safety
• Pedestrian Safety
• Intelligent Transportation Systems
• +6 more

Dr. Ron Van Houten is a Professor in the Department of Psychology at Western Michigan University, specializing in applied behavior analysis with a focus on traffic safety, pedestrian safety, and intelligent transportation systems. His work integrates engineering, behavioral principles, and technology to address road safety challenges. He holds a Ph.D. from Dalhousie University (1972) and has authored over 120 publications in journals like the Journal of Applied Behavior Analysis . His research has secured over $2 million in grants from agencies such as the U.S. Department of Transportation. Education: Ph.D., Dalhousie University, 1972 M.A., Dalhousie University, 1969 B.A., SUNY Stony Brook, 1968 Research Interests: Traffic safety interventions (e.g., crosswalk enhancements, pedestrian signals) Bicycle and seat belt safety Community/organizational psychology applications Simulation-based studies using driving/aircraft simulators His lab develops innovative solutions such as in-roadway signs, countdown signals, and haptic feedback systems to improve driver compliance and reduce accidents. Grants & Labs: Led major projects funded by USDOT, NHTSA, and Texas A&M Operates advanced driving/aviation simulators for behavioral research Labs/Teams: Active in WMU's Behavior Analysis and Industrial/Organizational Behavior Management programs, contributing to interdisciplinary safety initiatives.

• Gene Therapy
• Hemophilia Research
• Lentiviral Vectors
• +5 more

Antonia Follenzi is a Full Professor at the Department of Health Sciences, University of Eastern Piedmont 'Amedeo Avogadro' in Italy. With over three decades of research activity documented from 1991 to 2025, she has established herself as a leading researcher in hemophilia and gene therapy. Her work spans multiple interdisciplinary fields connecting hematology, vascular biology, and regenerative medicine. Professor Follenzi's research interests center on the multifaceted roles of Factor VIII beyond its traditional coagulation function, particularly its involvement in angiogenesis, endothelial cell biology, and vascular stability. She investigates lentiviral vector-based gene therapy approaches for hemophilia A, with a specific focus on targeting liver sinusoidal endothelial cells (LSECs) to achieve immune tolerance. Her work also extends to diabetes research , where she develops vascularized islet organoids and bioengineered pancreatic constructs for type 1 diabetes treatment. Additional research areas include biomaterial development using sustainable approaches (converting waste materials like eggshells and oyster shells into biomedical materials) and exploring the role of coagulation factors in cancer biology. The analysis of her recent publications (2023-2025) reveals a clear research trajectory focusing on the extracoagulative functions of Factor VIII, particularly its role in endothelial cell function, angiogenesis, and vessel stability. Her work demonstrates a sophisticated integration of gene therapy , stem cell technology , and tissue engineering approaches. A significant portion of her research addresses the critical challenge of immune tolerance in hemophilia gene therapy, with multiple projects developing innovative solutions to prevent inhibitor formation. Professor Follenzi leads several major research initiatives including: TolerEight : Investigating immune tolerance mechanisms in hemophilia gene therapy ALLEVIATE : Developing tolerogenic expression of FVIII using liver endothelial cell targeting VANGUARD : Creating cell therapies for type 1 diabetes PERTINENT : Studying retinitis pigmentosa models and therapies These projects are funded by prestigious organizations including the European Commission, Ministero dell'Università e Ricerca (MUR), and Fondazione Compagnia San Paolo. Her collaborative network spans multiple institutions across Europe, reflecting the interdisciplinary nature of her work that bridges hematology, immunology, vascular biology, and regenerative medicine.

• Agricultural Engineering
• Project Management
• Occupational Safety
• +3 more

Martín Barrasa Rioja is a Professor at the University of Santiago de Compostela, affiliated with the Department of Plant Production and Engineering Projects within the Higher Polytechnic School of Engineering. He holds a doctoral degree from the same university, completing his thesis in 2000 on budgeting methodologies for agroforestry engineering projects, with a focus on rural road infrastructure. His research group, PROEPLA (Projects and Planning), emphasizes strategic planning, occupational safety, and sustainable agricultural practices. His work spans agricultural engineering, project management, occupational safety, environmental engineering, and rural development. Key research themes include ICT adoption in dairy farming, energy efficiency in livestock systems, occupational health in Galician agriculture, and disease impact analysis in viticulture. He has extensively studied workplace safety protocols, logistics optimization, and strategic frameworks for agro-industrial sectors. His publications reflect a focus on practical solutions for agricultural challenges, including cost optimization, risk mitigation, and policy-driven improvements. Notable contributions address automated milking systems, gaseous exposure risks in livestock environments, and strategic planning for Galicia’s agro-food industry. Barrasa Rioja’s academic contributions are anchored in both theoretical frameworks and applied research, with a strong emphasis on regional agricultural development in northwest Spain. His work bridges engineering, economics, and policy to address multifaceted challenges in modern agro-industrial systems.

Nada MATTAView profile

Professor

• Knowledge Management
• Artificial Intelligence
• Crisis Management
• +5 more

Nada MATTA is a Professor at the University of Technology of Troyes (UTT), where she has held academic and leadership roles since 2000. She serves in the School of Engineering and Knowledge Management under the Department of Knowledge Engineering and Management . Her work focuses on knowledge management, artificial intelligence, crisis management, and information systems. She has held leadership positions such as Director of the Department of Human, Environment, Information, and Communication Technologies (2000–present) and Head of the Scientific Group on Supervision, Security, and Safety of Complex Systems (2008–2013). Her research interests include knowledge engineering, crisis informatics, ontology engineering, and AI-driven solutions for complex systems. She has co-supervised over 17 PhD students in areas like knowledge management, cybersecurity, and project memory systems. She is actively involved in international conferences like ISCRAM and editorial roles for journals such as AI EDAM and International Journal of Knowledge Management . Her recent projects include the REX Project Memory in Nuclear (2019–2022) and MaskMining (2018–2020), focusing on semantic web and marketing applications. She has contributed to knowledge capitalization initiatives with industries like ANDRA and Decathlon. Her work emphasizes ethical AI, crisis response systems, and sustainable development integration through ontology-based frameworks.

• Agricultural Science
• Plant Physiology
• Soil Science
• +3 more

Dr Glenn McDonald is an Associate Professor in the Agricultural Science department at the University of Adelaide. His research focuses on crop physiology, soil management, and stress tolerance in plants. He investigates how environmental factors like salinity, sodicity, and temperature affect crop yields, particularly in challenging agricultural environments such as alkaline soils and dryland regions. His work integrates agronomic practices, genetic screening, and advanced technologies like machine learning to enhance crop resilience and productivity. Key areas of interest include phosphorus use efficiency in cereals, soil microbiome dynamics, and the application of gypsum for soil amelioration. He has contributed to projects aimed at improving wheat and canola yields under suboptimal conditions through genotype selection, precision planting, and nutrient management strategies. His research demonstrates a strong emphasis on translating scientific findings into practical agricultural solutions. He collaborates on initiatives such as the GRDC Machine Learning Project analyzing soil and crop variability. His work addresses multifaceted challenges, including heat stress impacts on photosynthesis, root architecture adaptations, and the interplay between sowing timing and phosphorus responsiveness. Dr. McDonald’s publications reflect a commitment to advancing sustainable agricultural practices in arid and semi-arid regions.

MEHMET MERKEPÇİView profile

Assistant Professor

• Cryptography
• Artificial Neural Networks
• Biomedical Engineering
• +2 more

Mehmet Merkepçi serves as an Assistant Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, Turkey. Holding a Doctorate in Electrical and Electronic Engineering (2017), he has maintained continuous academic affiliation with the university since 2007 through progressive roles from Research Assistant to his current position. Academic Background: Doctorate (2017): Gaziantep University, Institute of Science, Electrical and Electronic Engineering Master's (2009): Gaziantep University, Institute of Science, Electrical and Electronics Engineering Bachelor's (2000): Karadeniz Technical University, Faculty of Engineering, Electrical-Electronic Engineering Merkepçi's research demonstrates exceptional interdisciplinary breadth with core emphasis on Cryptography and Artificial Neural Networks . His recent work pioneers neutrosophic number theory applications in public key cryptography, significantly advancing RSA and El Gamal algorithms. Parallel research trajectories include biomedical signal processing using photoplethysmography for non-invasive monitoring systems, and textile engineering innovations in fabric porosity and air permeability analysis. This multifaceted approach bridges theoretical mathematics with practical engineering solutions across diverse domains. Publication analysis reveals 10 journal articles concentrated in 2022-2025, with cryptographic research constituting 60% of recent output. The remaining publications demonstrate sustained engagement in biomedical engineering (20%) and textile science (20%), indicating strategic diversification while maintaining cryptographic expertise as the research cornerstone. This distribution reflects deliberate specialization in security-critical applications alongside targeted explorations of neural network implementations in physical systems. Merkepçi teaches advanced courses including Security Engineering and Occupational Safety at graduate level, and foundational undergraduate instruction in Computer Programming, Database Management, and Engineering Mechanics. His administrative service includes Department Vice Chairman (2020-present) and former Department Head (2020-2024), demonstrating institutional leadership alongside research and teaching responsibilities.

Ty TabernikView profile

Adjunct Professor

• Computer Science
• Information Technology
• Industrial Engineering
• +2 more

Ty Tabernik serves as an Adjunct Professor in the School of Science, Technology, Engineering and Mathematics at Trevecca Nazarene University, contributing to the institution's STEM-focused academic programs. His comprehensive educational qualifications include: Bachelor of Arts (B.A.) from Trevecca Nazarene University Master of Science in Information Technology (MSIT) from Purdue University Master of Business Administration (MBA) from Trevecca Nazarene University Doctor of Philosophy (Ph.D.) from Capella University Master of Health Informatics and Information Technology (MHIIT) from the University of Tennessee Master of Professional Studies from Middle Tennessee State University Master of Science in Computer Science and Quantitative Methods from Austin Peay State University Master of Science in Industrial Engineering from the University of Tennessee Knoxville Dr. Tabernik's academic profile demonstrates deep interdisciplinary expertise across computing, engineering, and business domains. His research interests center on the integration of information technology systems with industrial processes and healthcare applications, emphasizing practical solutions for complex technical challenges. This multifaceted background enables him to develop curricula that bridges theoretical knowledge with real-world business and engineering contexts. His teaching methodology likely incorporates cross-disciplinary perspectives, preparing students for evolving careers at the intersection of technology management, data systems, and operational efficiency within modern STEM industries.