جست‌وجوی استاد و پژوهشگر

• Systems Engineering
• Statistics and Probability
• Stochastic Processes
• +۶ مورد دیگر

Teresa Zigh is a Teaching Associate Professor at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science and the Department of Systems and Enterprises. She holds a PhD (1997) in Computational Linguistics, an MS (1985) in Management Science, and a BE (1978) in Chemical Engineering, all from Stevens. Her research focuses on systems dynamics, network analysis, gravitation, and stochastic processes. She has extensive industry experience, including roles at Combustion Engineering, Computer Sciences Corporation, and Computershare, where she managed large-scale financial document generation systems. Education: PhD: Computational Linguistics (Stevens Institute of Technology, 1997) MS: Management Science (Stevens Institute of Technology, 1985) BE: Chemical Engineering (Stevens Institute of Technology, 1978) Her research interests span statistics, modeling & simulation, genetic algorithms, and linguistics. Notable publications include contributions to defense acquisition systems analysis, gaming simulation for CONOPS development, and nonlinear dimensionality reduction in image processing. She actively participates in professional societies like the Systems Dynamics Society and INFORMS.

Geetika Jainمشاهده پروفایل

مدرس

• Blockchain Governance
• Sustainable Innovation
• Digital Transformation
• +۲ مورد دیگر

Dr. Geetika Jain is a Lecturer in Digital Transformation at Keele Business School, Keele University. She previously served as a Senior Researcher at IT University of Copenhagen and gained corporate experience at GE as a Strategic Consultant. With over 13 years of expertise in sustainable innovation and digitization, her research focuses on blockchain governance and technology diffusion mechanisms. Her research interests span sustainable digitalization, blockchain applications, and technology adoption in business contexts. She maintains active collaborations through memberships in the Association of Information Systems (AIS) and Association of North America Higher Education International (ANAHEI). Dr. Jain's publications demonstrate strong emphasis on blockchain solutions across healthcare, e-commerce, and sustainability domains. Recent work explores pandemic-related topics including vaccine distribution and public sentiment analysis. Awards: Emerald Literati Award: Outstanding Paper (2019) Emerald Literati Award: Best Reviewer (2019) Best Research Scholar, International Institute of Organized Research (2018) She actively contributes to academic discourse as a reviewer for top journals including MIS Quarterly and Journal of Business Research. Her copyrighted work on 'Confluence of storytelling and technology in business' reflects innovative pedagogical approaches.

• Supply Chain Management
• Blockchain Applications
• Healthcare Logistics
• +۲ مورد دیگر

Ulpan Tokkozhina is Assistant Professor of Operations Management at ISCTE Business School, where she teaches logistics, supply chain management, and blockchain applications. Her research explores technology-enabled supply chain innovation, particularly blockchain implementations for traceability in healthcare and sustainable fisheries. She received the Best Paper Award at EAI INTSYS 2022 and contributes to the Fish2Fork project on sustainable fishing. Tokkozhina developed the course 'Blockchain for Supply Chain Management' and serves on scientific committees for intelligent transport systems conferences.

Ai Chih Changمشاهده پروفایل

استادیار

• Supply Chain Management
• Healthcare Management
• FinTech
• +۲ مورد دیگر

Ai Chih Chang (Jasmine Chang) is Assistant Professor of Business Data Science at the Martin Tuchman School of Management, New Jersey Institute of Technology. She holds a Ph.D. and M.B.A. from Rutgers University, with research focusing on supply chain management, healthcare systems, FinTech, and technology adoption. Research explores supply chain optimization under uncertainty, healthcare resource allocation, blockchain applications, and sustainable operations. Recent investigations emphasize IoT-driven solutions, hospital coordination models, and economic policy impacts on FinTech. Publications demonstrate strong methodological diversity, including reinforcement learning for perishable goods supply chains, fuzzy models for surgical scheduling, blockchain implementations, and data-driven sustainability studies. Healthcare operations emerge as a dominant theme with innovative approaches to hospital alliances and dual-channel service design. Awards: Poets & Quants' 50 Best Undergrad Professors NJIT Excellence in Teaching Award Teaching: Develops courses in Business Data Analytics and Data-Driven Financial Modeling, emphasizing analytical skill development.

Yvan Labicheمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• UML Modeling
• +۷ مورد دیگر

Yvan Labiche is a Professor at Carleton University's Department of Systems and Computer Engineering (SCE), part of the Faculty of Engineering and Design. He holds a Ph.D., P.Eng., and CTFL certifications. His research focuses on software verification/validation, UML-based model-driven engineering, and software quality assurance. Key areas include object-oriented systems, high-dependability systems, and applying AI/evolutionary methods to software testing. He leads research on UML consistency rules, state-based testing strategies, and automated model transformations. Recent work explores metamorphic relations in testing and cost reduction for 5G systems. He has organized workshops like WUCOR (UML Consistency Rules) and contributed to tools like aToucan for UML model derivation. His expertise spans empirical studies in traceability, test effectiveness, and integration testing methodologies.

Ankit Agrawalمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Cyber-Physical Systems
• Software Engineering

Ankit Agrawal is Assistant Professor of Computer Science at Saint Louis University's School of Science and Engineering, where he directs the Human Computation Lab. His research focuses on human-computer interaction for autonomous systems, particularly human-drone collaboration frameworks. Education: Ph.D. in Computer Science, University of Notre Dame M.S. in Software Engineering, National Institute of Technology Rourkela Research explores human-AI collaboration paradigms for autonomous systems, with emphasis on safety validation, explainable autonomy, and simulation frameworks for cyber-physical systems. Recent work integrates large language models for automated UAV testing and augmented reality for emergency response. Publications demonstrate consistent focus on drone autonomy validation, with thematic emphasis on simulation-to-reality testing, human interaction patterns, and safety assurance for collaborative UAV operations. Awards: Honorable Mention, CHI 2020 Best Paper Award, SPLC 2020 Leads multiple projects funded by NASA and NSF investigating UAV testing frameworks. Supervises 12+ graduate students across drone simulation, human-AI collaboration, and autonomous systems validation projects. Directs the Human Computation Lab which develops interactive systems for human-machine teaming in critical applications including search-and-rescue and infrastructure inspection.

FEDERICA PASCUCCIمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Artificial Intelligence
• Network Security
• +۳ مورد دیگر

Federica Pascucci is an Associate Professor at the Department of Civil, Computer and Aeronautical Engineering, University of Rome 3. Her research spans cyber-physical systems, artificial intelligence, and sustainability in supply chains. She serves as the Rector's Delegate for coordinating the Scientific Council of the University Library System. Phone: +39 0657333227 Email: federica.pascucci@uniroma3.it Address: Via Vito Volterra 62 Her research focuses on securing industrial cyber-physical systems, strategic control algorithms, and AI applications in societal contexts. Recent work explores female entrepreneurship, blockchain in urban planning, and digital transformation in SMEs. Key trends in her 2025 publications include cyber-physical security, AI ethics, and human-centric safety systems. 2024 works emphasize sustainability paradoxes in global supply chains, particularly coffee sector dynamics.

• Cryptography
• Blockchain
• Cybersecurity
• +۲ مورد دیگر

Fatemeh Rezaeibagha is Senior Lecturer in Cyber Security at Murdoch University's School of Information Technology. Her research develops cryptographic solutions for blockchain systems, IoT security, and privacy-preserving protocols. Awards include the Associate Fellow teaching certificate (2019) and Murdoch Fellowship (2023). Recent publications focus on: privacy-enhanced data sharing for medical IoT; redactable blockchain architectures; attribute-based access control; and lattice-based cryptography. Applied contributions include traceability-revocation schemes for industrial IoT and accountable systems for vehicular networks. Research emphasizes efficiency and post-quantum security in distributed environments.

Constantina Kapnissi-Christodoulouمشاهده پروفایل

دانشیار

• Analytical Chemistry
• Separation Science
• Chiral Separations
• +۴ مورد دیگر

Constantina Kapnissi-Christodoulou serves as Associate Professor in the Department of Chemistry at the University of Cyprus' School of Natural and Applied Sciences since 2017, following progression from Lecturer (2005-2011) to Assistant Professor (2011-2016). Her research specializes in advanced separation methodologies for analytical chemistry applications. Educational background includes: Diploma in Chemistry, University of Cyprus (1999) PhD in Analytical Chemistry, Louisiana State University (2004) Postdoctoral Researcher, University of Texas Southwestern Medical Center (2004-2005) Her research program focuses on: Development of electrophoresis, chromatography, and electrochromatography for enantiomeric/non-enantiomeric separations CE-MS and UPLC-MS-MS applications for biological, food, and pharmaceutical analysis Chiral ionic liquids and cyclofructans as selectors in electrokinetic chromatography Sample preparation optimization for complex matrices Clinical diagnostic applications of enantiomeric analysis Recent publications (2022-2024) demonstrate consistent innovation in chiral separation systems using deep eutectic solvents and ionic liquids, with significant applications in cannabinoid analysis, psychoactive substance detection, and natural product characterization (particularly aloe vera and carob). Her work emphasizes rigorous method validation and green chemistry principles. No scientific awards were documented in the source material. Information regarding student advisement and research funding was not provided in the available documentation.

Muhammad Farooqueمشاهده پروفایل

مدرس

• Circular Supply Chain Management
• Sustainable Operations
• Supply Chain Transparency
• +۲ مورد دیگر

Dr. Muhammad Farooque is a Lecturer in Operations and Supply Chain Management at Essex Business School (EBS), University of Essex. He holds a PhD in Supply Chain Management from Auckland University of Technology (New Zealand) where he received the Graduate Assistantship Award. His research focuses on integrating circular economy principles into supply chain operations. Research interests include: Circular supply chain management and sustainable operations Transparency mechanisms in global supply networks Application of enabling technologies (Blockchain, IoT, AI) in logistics Barrier analysis for sustainable systems implementation His publications (2019-2023) predominantly analyze circular economy implementation in Chinese industrial contexts, employing methods like fuzzy DEMATEL and empirical case studies. Research consistently addresses performance metrics, barrier identification, and technology-enabled solutions for supply chain sustainability. Awards/Honors: AUT University Graduate Assistantship Award Active Research Grants: Satellite Remote Sensing Technology for Enhancing Transparency in Apparel Supply Chains (British Academy funded) Wealmoor KTP Application (Wealmoor Limited funded) He currently teaches Logistics and Supply Chain Planning and Global Project Management , and welcomes inquiries from prospective PhD/MPhil students.

Olga Ormandjievaمشاهده پروفایل

استاد

• Software Engineering
• Big Data Quality Modeling
• Software Measurement
• +۵ مورد دیگر

Dr. Olga Ormandjieva is a Professor in the Computer Science and Software Engineering Department at Concordia University, Montreal, Canada. She is a member of the Ordre des Ingénieurs du Québec (OIQ) and holds a Ph.D. in Computer Science (2002) and a Master's in Computer Science and Mathematics (1987). Her research focuses on software quality engineering, big data quality modeling, and AI-driven cybersecurity solutions for detecting cyber-predators in social media. She has published over 135 peer-reviewed papers and seven book chapters, and supervised seven doctoral and seventeen master's students. Dr. Ormandjieva's expertise spans measurement in software engineering, empirical software engineering, and formal methods. Her work integrates AI and software engineering best practices to address challenges in big data and cybersecurity. She has received grants from NSERC and other sources, and contributed to academic governance, including CEAB accreditation visits and IEEE leadership roles. Her recent research emphasizes automated cyber-predator detection and big data quality frameworks like MEGA. She teaches software engineering courses and actively engages in curriculum development, emphasizing real-world applications in healthcare and enterprise systems. Dr. Ormandjieva's service includes organizing international conferences, reviewing for top journals, and developing methodologies for mobile health UIs and requirement traceability systems. Her work bridges theory and practice, addressing critical issues in software reliability, user-centric design, and ethical AI applications.

• Artificial Intelligence
• Big Data
• Internet of Things
• +۳ مورد دیگر

Ray Walshe is an Assistant Professor at the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research focuses on standardization frameworks for emerging technologies including Artificial Intelligence, Big Data, IoT, and Cloud Computing. He holds leadership roles in international standards bodies including ISO/IEC JTC1 SC42 (AI), Big Data Value Association, and United Nations standards groups. Dr. Walshe's research examines the circular relationship between innovation, disruption, and standardization across digital domains. Key interests include developing reference architectures for big data systems, ethical AI implementation, and leveraging technology for sustainable development goals. His work connects technical specifications with policy frameworks and global governance. Through projects funded by SFI, EI, EU FP7 and Horizon 2020, he explores applications of cloud infrastructure, data analytics pipelines, and IoT ecosystems. Recent publications demonstrate a strong focus on ICT standardization landscapes, QoE-driven network resource management, and blockchain-enabled decentralized science models. As Digital Leader for the World Economic Forum and expert for multiple international organizations, Dr. Walshe contributes to technology policy development while maintaining active research in biocomputation, bioinformatics, and agent-based simulation systems.

Greg Bakerمشاهده پروفایل

استاد

• Food and Agribusiness Management
• Food Loss and Sustainability
• Food Insecurity and Nutrition
• +۳ مورد دیگر

Greg Baker is the Naumes Family Professor of Management at Santa Clara University's Leavey School of Business, where he has taught since 1988. He holds a Ph.D. in Agricultural Economics from Purdue University, alongside earlier degrees in Food Business Management and Agricultural Economics. His research focuses on food systems sustainability, food safety, strategic management, and agribusiness economics. Dr. Baker has authored over 100 publications in journals such as the International Food and Agribusiness Management Review and American Journal of Agricultural Economics. His work addresses critical issues like food loss reduction, consumer behavior toward food safety, and the financial implications of strategic planning in agribusiness firms. He co-edited volumes 2-4 of the International Food and Agribusiness Management Review. Recipient of IAMA Fellowship (highest professional honor) 2004 President's Special Recognition Award for teaching and scholarship Excellence in Research Award from Cooperative League of the USA His research spans global contexts, including studies in Kenya, Brazil, and California. He collaborates with organizations like the Food and Agribusiness Institute, focusing on food security initiatives such as urban agriculture and food bank efficiency. Baker advises on policy matters related to food safety regulations and organic marketing programs.

Kouhyar Tavakolianمشاهده پروفایل

استاد پژوهشی

• Biomedical Signal Processing
• Medical IoT
• Seismocardiography
• +۲ مورد دیگر

Kouhyar Tavakolian is Executive Director of UND's BioInnovation Zone and UND Site Director for NSF's Center to Stream Healthcare in Place. As Research Professor in Biomedical Engineering, his work integrates signal processing, wearable sensors, and clinical applications. Research focuses on noninvasive cardiology methods (seismocardiography, ballistocardiography) and medical IoT systems. He has secured $13M+ funding from NASA, NIH, and DoD. Recent publications emphasize AI-driven food safety systems, space agriculture monitoring, and federated learning for healthcare. Teaches courses in Biomedical Instrumentation, Machine Learning Applications, and Physiology for Engineers. Holds P.Eng licensure and MBA.

Hassan Rezaمشاهده پروفایل

استاد

• Software Architecture
• Cyber-Physical Systems
• Blockchain Technology
• +۳ مورد دیگر

Hassan Reza is a Professor of Software Engineering at the University of North Dakota, with affiliations at North Dakota State University and UND Biomedical Engineering. He serves as technical member of the Center of Excellence for Unmanned Aircraft Systems (UAS) and UND Research Institute for Autonomous Systems (RIAS). His research spans software-intensive systems, AI-enabled system design, model-based engineering of cyber-physical systems, software testing, safety/security-critical systems, and blockchain/AI technologies. Specific applications include avionics, medical systems, and UAV integration into national airspace. Education includes Ph.D. in Computer Science from North Dakota State University and M.S. from Loyola University Chicago. He has secured over $16 million in research funding from agencies including DOD, NIH, NASA, and NSF.