Janusz Kacprzyk is a full Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Krakow, Poland. His career spans over five decades with significant contributions to theoretical and applied computational intelligence. Research Focus His pioneering work centers on fuzzy logic systems and soft computing methodologies , particularly advancing: Decision-making under uncertainty Consensus modeling in social networks Intelligent control systems Data mining with imprecise information Scientific Recognition IEEE Frank Rosenblatt Award (2019) for foundational contributions to fuzzy systems Elevated to IEEE Fellow (1997) for leadership in computational intelligence IFSA Fellow status for lifetime achievements in fuzzy systems Multiple best paper awards from international conferences Academic Leadership He has directed major research initiatives including the Polish National Science Center’s flagship projects on social decision support and EU Horizon 2020 grants for AI-driven consensus systems. His laboratory at the Systems Research Institute of the Polish Academy of Sciences coordinates international collaborations across 15+ countries.
Stanislaw H. Zak is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering, located in West Lafayette, Indiana. He holds offices in the Materials and Electrical Engineering Building (MSEE 233B) and specializes in automatic controls, communications, and signal processing. Education: He earned his BEE (1974), MSEE (1974), and PhD (1977) from Warsaw University of Technology. His research focuses on control systems, optimization, nonlinear dynamics, neural networks, and fuzzy logic applications. These areas intersect with broader themes in electrical engineering and computational systems. Despite no listed publications here, his work likely contributes to advancing theoretical and applied control methodologies. He has no recorded scientific awards in the provided text. Students and advising: No current advisees are listed, though his research areas suggest potential mentorship in control theory and related fields. Grants and lab affiliations are not detailed in this profile.
Khairiyah Mohd Yusof is a Professor of Engineering Education at Purdue University's College of Engineering, Department of Engineering Education. She holds a Ph.D. in Chemical Engineering from the University of Waterloo, Canada, and has extensive experience in advancing engineering pedagogy globally. Her research focuses on student-centered learning, faculty development, and the integration of empathy and metacognition in engineering education. Education: Ph.D., Chemical Engineering, University of Waterloo, Canada M.Sc., Chemical Engineering, Clemson University B.Sc. (Summa cum Laude), Chemical Engineering, University of Alabama Research Interests: Dr. Yusof explores innovative methodologies to enhance learning environments, including cooperative problem-based learning (CPBL), empathetic engineering education, and global perspectives in STEM. She emphasizes the development of 21st-century skills such as critical thinking, teamwork, and digital literacy through course design and instructional strategies. Her work bridges engineering education with real-world challenges, such as sustainability and industry collaboration. Awards: 2023 IGIP Nichola Tesla Golden Chain Award 2021 Malaysia Top Research Scientist (Engineering Education) 2018 IFEES Duncan Fraser Global Award 2017 Mentoring Award from the Student Platform on Engineering Education 2015 IChemE Frank Morton Medal Advising & Grants: While specific advising details are not listed, her research often involves collaborative projects with industry partners and international teams. Her work has been supported by grants focused on curriculum innovation and pedagogical research. Labs & Teams: She is affiliated with Purdue's engineering education initiatives and previously co-founded the Centre for Engineering Education (CEE) at Universiti Teknologi Malaysia, fostering interdisciplinary research and global outreach.
Navid Nikraz is a Senior Lecturer at Curtin University, affiliated with the School of Civil and Mechanical Engineering within the Faculty of Science and Engineering. He also serves in the Office of the Provost. His research focuses on applying fuzzy logic to civil engineering challenges, particularly in infrastructure maintenance and decision-making systems. His work bridges theoretical fuzzy methodologies with practical applications in urban infrastructure management, such as bridge prioritization and defuzzification algorithms. Dr. Nikraz has published in journals like Fuzzy Information and Engineering and Australian Journal of Civil Engineering , exploring topics like fuzzy-based maintenance strategies and statistical approaches to fuzzy number construction. His recent research emphasizes optimizing infrastructure management through advanced computational methods. No scientific awards are explicitly listed in the profile. His academic contributions include collaborative research with co-authors like Amini and Fathizadeh, though specific grants or advisory roles are not detailed here. His portfolio reflects engagement with both technical engineering problems and institutional governance through his provost office role.
Professor Dorothy Monekosso holds a position at Durham University as Professor of Computer Science and serves as Chief Technical Officer (0.5FTE) at More Life UK Ltd, a health services company. Her academic career spans over two decades, with a PhD in Spacecraft Engineering (2000) from Surrey Space Centre, a Master's in Satellite Engineering, and a Bachelor's in Electronic Engineering. Her research focuses on assistive technologies, digital health innovations, and applications of machine learning in healthcare. Notable contributions include the Virtual Physiotherapist project (funded by MRC) and the Health-5G mixed reality system for emergency medical assistance. She has pioneered work on ear recognition biometrics and VR-based rehabilitation frameworks like Rehab-Immersive. Professional roles include leadership as PGR Director at Durham and membership in prestigious committees such as the Royal Society Diversity Committee and World Economic Forum initiatives. Awards include the Royal Academy of Engineering Foresight Award (2000) and BCS Honorary Fellowship (2020). Her work integrates robotics, AI, and sensor networks into solutions for independent living and healthcare delivery. Current projects explore digital twins in healthcare and smart environments to support aging populations.
Jessie Ma is Assistant Professor and Ontario Research Chair in Sustainable Energy with joint appointments in Systems Design Engineering (Faculty of Engineering) and Environment, Enterprise and Development (Faculty of Environment) at University of Waterloo. She holds a PhD in Electrical Engineering from Toronto Metropolitan University and an MPA from Harvard Kennedy School. Research focuses on electricity market design, renewable integration, and distributed energy resources, informed by 20 years of industry experience at Hydro One. Publications demonstrate expertise in demand response optimization, energy storage economics, and interdisciplinary energy education. Recent work analyzes merchant storage revenue models, zonal capacity markets, and co-optimization of real-time demand response. Research consistently addresses grid modernization challenges through mathematical modeling and market-based solutions.
Dr. Spring Zhou is a Senior Lecturer in the School of Business at the University of Wollongong, specializing in operations and supply chain management. She holds a PhD from the University of Auckland (2016) and previously worked as a lecturer at Massey University and a Research Fellow at the University of Auckland. Her research focuses on practice-driven solutions for supply chain challenges, including medical reserve management, agricultural cooperatives, and nonprofit operations. Education: PhD in Operations and Supply Chain Management (University of Auckland, 2016); prior academic roles include Massey University (2016-2018) and University of Auckland (2016). Research interests span agricultural value chains, strategic inventory systems, and operational resilience in emergency contexts. Notable collaborations include work with AgResearch on agri-product credence attributes and land-use practices. Recent research highlights include studies on pandemic impacts on travel behavior, antifragility in inventory systems, and medical supply chain resilience. Her work has been published in top journals like Production and Operations Management and European Journal of Operational Research . Awards: Business School Prize for Best Doctoral Thesis (2016), Doctoral Publication Award (2016) Grants: Early Mid-Career Researcher Enabling Grant (2024), Circular Economy-aligned Supply Chains Project (2023-2024) Current supervision focuses on topics like project management integration with AI, supply chain disruption mitigation, and sustainable tourism supply chains in Indonesia.
Dr. Javad Zeinali is an Assistant Professor of Digital Manufacturing at the University College Dublin (UCD), School of Mechanical and Materials Engineering. He serves as Programme Director for Digital Manufacturing at UCD's Advance Centre and leads the Laboratory for Advanced Manufacturing Simulation and Robotics (LAMS). His academic career includes roles at the University of Limerick as Lecturer and Research Fellow before joining UCD in 2023. Dr. Zeinali holds a PhD (2015) and MEng (2012) from Universiti Teknologi Malaysia (UTM), with postdoctoral training at Kyushu University (Japan). He has industry experience as Technical Manager at RS Co., Iran. Professional certifications include the U21 Mid-Career Researcher Programme and Universal Design in Teaching & Learning. Research Focus: His work integrates AI, predictive analytics, and CFD with advanced manufacturing. Key areas include digital twins, magneto-rheological devices, and AR/VR solutions for sustainable manufacturing. He leads projects like RTForm (robotic toolkits), ARIOS (AR operator support), and VRSafe (VR workplace safety training). Awards & Grants: Recipient of Bronze Medal (MTE 2014), Merit Thesis Award (2015), and Gold Medal (UTEMEX 2013). Active in EU funding, he coordinates grants including the €2.5M ARIOS project and leads initiatives at SSPC and DPTC dairy technology centers. Teaching: Teaches Industrial Data Analytics, Engineering Project Management, and Automation modules. Uses active learning and technology-enhanced methods. Coordinates courses like Industrial Data Analytics and Engineering Project Management at UCD. Collaborations: Serves on EU-NESA Agri-Food Sector Network and co-leads international projects. Supports Chinese PhD candidates via UCD-CSC funding schemes. Open to collaborations in AI-driven manufacturing and predictive analytics.
Sidney Givigi is a Professor at Queen's University, associated with the School of Computing within the Faculty of Arts and Science. His research focuses on Robotics, Machine Learning, UAV Control, and Multi-Vehicle Systems. He leads projects in autonomous systems, swarm intelligence, and reinforcement learning applications. His work addresses challenges in autonomous vehicle coordination, adversarial attack mitigation in intelligent systems, and real-time decision-making algorithms. Collaborative perception under adverse conditions and dynamic system control are key research themes. Research highlights include the TRATSS task scheduling system for autonomous vehicles, the IPRPAS benchmark dataset for adversarial sample analysis, and innovations in UAV software update protocols. His contributions span theoretical frameworks and practical implementations in robotics and AI. He is affiliated with the Ingenuity Labs Research Institute, advancing translational research in automation and intelligent systems. No academic awards or student advisement information is explicitly documented in the provided texts.
Dr. Nataliya Chukhrova is a Researcher at the Institut für Mathematik und Statistik within the University of Hamburg Business School . Her research focuses on Data Science, Business Analytics, Fuzzy Statistics, and Quantitative Risk Management, with applications in Finance, Health, and Industrial Engineering. She has received notable awards including the Hamburger Lehrpreis 2015 for innovative teaching and the Jahrgangsbestenpreis 2011 for academic excellence. Her teaching portfolio includes courses such as Angewandte Statistik für Fortgeschrittene , Statistik mit SPSS , and Statistische Qualitätskontrolle . Her publications emphasize statistical methods in quality control, fuzzy hypothesis testing, and stochastic modeling, with a focus on practical applications in healthcare and finance. In recent years, her work has explored the intersection of fuzzy logic with traditional statistical techniques, particularly in addressing challenges posed by the COVID-19 pandemic. She collaborates extensively, often with co-author Arne Johannssen, on projects that bridge theoretical statistics and real-world operational problems.
Gajendra Kumar is an Assistant Professor of Molecular Biology, Cell Biology, and Biochemistry at Brown University, affiliated with the Data Science Institute and Carney Institute for Brain Science. His research focuses on neurodegenerative diseases, combining electrophysiology, optogenetics, neurocomputation, and AI/ML to study motor neural circuits. Notable contributions include developing closed-loop deep brain stimulation platforms for ataxia and AI-driven tools for depression detection using EEG/facial recognition. Education: PhD (2013), MSc (2007), BSc (2005) from All India Institute of Medical Sciences. Awards include Gold Medal (IGED 2022) and Hong Kong SciTech Pioneer (2022). Collaborates with experts like Prof. Eric Morrow and Prof. Judy Liu. His work spans neural circuit modeling, neuroregeneration, and neurotechnology commercialization through ventures like AniTech Limited.
Hossein Mirinejad is an Assistant Professor in the College of Aeronautics and Engineering at Kent State University. He previously served as a Research Fellow at the FDA (2017-2019) and Postdoctoral Fellow at the University of Michigan. His research focuses on healthcare automation, optimal control applications in critical care, and autonomous robotic systems. Key research areas include precision dosing algorithms for fluid resuscitation, reinforcement learning for medical decision-making, hardware-in-the-loop testing of medical devices, and control systems for flexible manipulators. His work bridges engineering and clinical applications, emphasizing personalized treatment and medical device innovation. Mirinejad directs the Control, Automation, and Mechatronics (CAM) Lab and has secured multiple NSF grants including a CAREER award. He mentors graduate students in projects spanning medical AI, control theory, and robotic systems.
Dr. Paul J. Componation serves as the Associate Dean of Graduate and Interdisciplinary Affairs in the College of Engineering at The University of Texas at Arlington (UTA), where he previously held the positions of Professor and Chair of the Industrial, Manufacturing, and Systems Engineering (IMSE) Department and Executive Director of the University of Texas at Arlington Research Institute (UTARI). His distinguished career spans over three decades with significant academic appointments at Iowa State University and the University of Alabama in Huntsville, complemented by research experience at NASA's Marshall Space Flight Center. Dr. Componation earned his PhD in Industrial Engineering from West Virginia University in 1995, with an MS in Management from Troy State University (1987) and BS in Industrial Engineering from West Virginia University (1982). His educational background established the foundation for his expertise in systems engineering and operations management. His research portfolio demonstrates remarkable breadth across systems engineering, operations management, and engineering economics with practical applications in aerospace, healthcare, energy systems, and manufacturing. Dr. Componation has made seminal contributions to understanding how systems engineering practices influence project success, particularly in NASA and government contexts. His pioneering work on lean principles has provided frameworks for organizational transformation across multiple industries. Recent research directions include IoT integration in supply chain management, AI applications in manufacturing decision-making, and systems thinking approaches to healthcare improvement. Dr. Componation's scholarly impact is reflected in numerous prestigious recognitions including the 2025 Bernard R. Sarchet Award from the American Society for Engineering Management and his designation as a Fellow of the same organization. His research has attracted substantial funding from NASA, NSF, Department of Education, and industry partners including Foxconn Technology. As an educator and mentor, Dr. Componation has guided numerous doctoral and master's students through dissertation and thesis research on topics ranging from biofuel production systems to lean implementation assessment methodologies. His teaching focuses on decision analysis, engineering management, and engineering economy, with particular emphasis on developing innovative hybrid and online educational models for STEM disciplines that accommodate working professionals.
Dr. Jamie James Rogers is a Professor and Associate Chair in the Department of Industrial, Manufacturing, and Systems Engineering at the University of Texas at Arlington (UTA). She has been on the faculty since 1994 and holds the George & Elizabeth Pickett Endowed Professorship (2021–2026). Her roles include leadership in ABET as a Fellow and former President, and she has served as IISE President. She has extensive industry experience at Texas Instruments before academia. Education: B.S. (Industrial Engineering, University of Missouri, 1979), M.S. (UT Arlington, 1981), Ph.D. (UT Arlington, 1985). Professional certifications include P.E. (Texas) and Professional Certification in Logistics (Georgia Tech). Research focuses on sustainability integration in engineering curricula, supply chain optimization, healthcare systems, and accreditation standards. She has secured over $3.6M in research funding and authored/co-authored over 140 peer-reviewed publications. Her teaching excellence is recognized through awards like the UTA Academy of Distinguished Teachers (2011) and UT System Regents’ Outstanding Teacher (2012). Key contributions include leading the 'Engineering Sustainable Engineers' NSF-funded project (2009–2012) and advancing ABET’s global accreditation efforts. She advises over 40 Ph.D. students and has been a mentor in systemic change initiatives for engineering education. Her service spans roles in the UT System Healthcare Steering Committee, Texas Higher Education Coordinating Board, and editorial boards for journals like Engineering Education Letters.
Adnan Salihbegovic is affiliated with the Department for Automation and Electronics, where he teaches advanced courses such as Special Measurements Techniques for undergraduate students. His curriculum emphasizes modern instrumentation methodologies, including LabVIEW programming, virtual instrumentation, and data acquisition system integration using DAQ modules and GPIB communication protocols. He oversees laboratory works involving HP and National Instruments equipment for signal analysis, logic analyzers, spectral analyzers, and oscilloscopes. His research interests focus on automation systems, embedded systems design, IoT applications, and control engineering. He has contributed to projects involving web-based SCADA systems, industrial automation workflows, and optimization of order-picking processes in logistics. His work also explores educational tools such as decompilable code editors and tiny OS kernels for teaching purposes. Salihbegovic’s publications span topics like enterprise GIS in power distribution, domain-specific modeling languages for IoT, and vibration control using fuzzy logic. He actively participates in international conferences related to automation and information technologies, demonstrating expertise in both theoretical and applied engineering solutions. His teaching integrates practical lab exercises with theoretical concepts, ensuring students gain hands-on experience with industry-standard tools like LabVIEW and DAQ systems. He also advocates for remote laboratory access and internet-based control systems to enhance educational accessibility and industrial efficiency.
