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Cathy McLellanView profile

Associate Professor

• Interventional Cardiology
• Cardiac Program Management
• Medical Education
• +3 more

Cathy McLellan is an Associate Professor and Interim Division Chair of Cardiology at Queen’s University, a role she has held since December 2024. She joined the Queen’s Cardiology Division in 2003 and served as Chair from 2017 to 2022. Dr. McLellan is also an interventional cardiologist at Kingston General Hospital, where she leads clinical roles in Percutaneous Coronary Interventions and Cardiac Program Medical Direction (2017–2020). Her work focuses on expanding regional cardiac care programs, such as the Southeastern Ontario Regional MI program, and overseeing postgraduate training in cardiology. Her expertise spans clinical cardiology, healthcare leadership, and medical education. She has held key administrative roles, including directing the Cardiology residency program and contributing to institutional governance through divisional leadership positions. While no specific awards are listed, her contributions to clinical practice and education are central to her professional profile. Dr. McLellan’s current focus includes advancing cardiac care protocols and maintaining operational excellence in hospital-based cardiology services. No formal research grants or student advisement details are provided in the text, though her administrative roles suggest involvement in training future clinicians.

Venkataramanan BalakrishnanView profile

Professor

• Systems and Control
• Control Theory
• Optimization Methods
• +5 more

Venkataramanan Balakrishnan is a Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering, Case Western Reserve University. His research focuses on numerical methods, optimization for systems and control, control theory, and applications in communication, signal processing, robotics, and VLSI design. He holds an IEEE Fellow designation since 2012. Education: PhD in Electrical Engineering, Stanford University, 1992 MS in Statistics, Stanford University, 1992 MS in Electrical Engineering, Stanford University, 1988 Bachelor of Technology in Electrical Engineering, Indiana Institute of Technology, 1985 He has held multiple leadership roles in IEEE committees, including Deputy Director of Operations (2015–Present) and Director of Operations (2016–Present) of the IEEE Control Systems Society Executive Committee. He has also served as an Associate Editor for IEEE Transactions on Automatic Control (2001–2003) and organized numerous conference sessions and workshops on topics like Linear Matrix Inequalities (LMIs) in control theory. Key External Appointments: Member, IEEE Control Systems Society Technical Program Committee (1999–Present) Co-Registration Chair, IEEE Conference on Control Applications (1999–Present) Member, Board of Governors, IEEE Control Systems Society (2014–Present) His contributions span conference organization, including roles as session co-chair and workshop organizer for events such as the American Control Conference and IEEE Conference on Decision and Control.

Umair ShahView profile

Assistant Professor

• Stakeholder Theory
• Technology Ethics
• Computational Social Science
• +4 more

Umair Shah is an Assistant Professor (Teaching Stream) at the University of Waterloo's Department of Management Sciences. He holds a Doctorate in Management of Technology (2016) and a Master of Applied Science in Management Sciences (2012), both from the University of Waterloo. His research interests span stakeholder theory, technology ethics, computational social science, and human factors in technology adoption. He actively teaches courses such as Organizational Behavior, Production and Service Operations Management, and Foundations of Senior Management, reflecting his expertise in both theoretical and applied aspects of management sciences. Shah's recent work emphasizes ethical dimensions of AI, human-technology interaction, and circular economy strategies. His articles critically examine moral dilemmas in autonomous systems, stakeholder engagement in technology firms, and cybersecurity governance. He has published in prestigious journals like Journal of Business Ethics , Technovation , and Journal of Cleaner Production , with a focus on bridging theoretical frameworks and real-world applications. His teaching portfolio includes courses taught consistently since 2020 across multiple academic levels, demonstrating his commitment to experiential learning and pedagogical innovation. Though not currently accepting graduate students, his research collaborations span interdisciplinary themes in technology ethics and stakeholder analysis.

Ganeshsree SelvachandranView profile

Professor

• Artificial Intelligence
• Fuzzy Mathematics
• Deep Learning
• +12 more

Ganeshsree Selvachandran is a Professor at the School of Business, Monash University Malaysia (MUM), where she conducts cutting-edge research in artificial intelligence, fuzzy mathematics, deep learning, and computational intelligence. She is actively involved in PhD supervision and leads significant research projects in biomedical imaging and forecasting. PhD in Pure Mathematics, Universiti Kebangsaan Malaysia (UKM), 2013 MSc in Pure Mathematics, Universiti Kebangsaan Malaysia (UKM), 2010 BSc (Hons) in Mathematics, Universiti Kebangsaan Malaysia (UKM), 2009 Her research focuses on fuzzy mathematics , deep learning , computational intelligence , and hybrid AI models , with applications in biomedical imaging (e.g., lung cancer detection), financial and environmental forecasting, and emotion recognition. She develops advanced fuzzy logic systems integrated with neural networks for real-world diagnostic solutions. The recent publications highlight a strong trend in applying deep convolutional neural networks and fuzzy logic to medical diagnostics, particularly in lung cancer and diabetic retinopathy detection. Her work increasingly combines generative models and hybrid AI for data augmentation and improved accuracy in healthcare applications. She also contributes comprehensive reviews in AI subfields, establishing foundational knowledge in reinforcement learning and medical AI. Scientific Awards and Recognitions: Ranked No. 6 globally in fuzzy sets/systems research by Scopus (2019) Member, Special Interest Group on Blue Economy, Malaysian Academy of Sciences (2020) Contributor to the Position Paper on Blue Economy (2022) Recipient of multiple national and international research awards Dr. Selvachandran has secured over MYR880,000 in research funding, including four Fundamental Research Grant Scheme (FRGS) grants, an industry grant from MTSFB, and a professorial chair grant from PNB. She mentors PhD students and collaborates on interdisciplinary projects. She serves as an editor for top journals like Engineering Applications of Artificial Intelligence and Computers and Electrical Engineering , and has reviewed over 150 papers for Web of Science/Scopus-indexed journals. She is involved in active research projects such as Advancing Lung Cancer Detection through Deep Fuzzy Convolutional Neural Networks and Sustainability Impact: Case Studies of UNGCMYB Member Companies . She also holds an adjunct professorship at Symbiosis International University (2023–2025), contributing to international academic collaboration.

Paul RichardsonView profile

Professor

• Automotive Engineering
• Computing and Networks
• Robotics

Paul Richardson is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn’s College of Engineering and Computer Science. His research spans automotive systems, real-time networks, and robotics. PhD in Systems Engineering, Oakland University His work focuses on Automotive Engineering , Computing and Networks , and Robotics . Key contributions include innovations in intra-vehicle networks, UWB channel modeling, and real-time control systems. Recent publications highlight advancements in OFDM signal processing, PAPR reduction techniques, and adaptive scheduling for QoS in vehicular and mobile networks. Collaborations include researchers like W. Xiang and A. Elkateeb. He is affiliated with the Institute for Advanced Vehicle Systems at UM-Dearborn. Contact: richarpc@umich.edu .

Piotr GmytrasiewiczView profile

Associate Professor

• Artificial Intelligence
• Multiagent Systems
• Decision Theory
• +7 more

Piotr Gmytrasiewicz is an Associate Professor at the Department of Computer Science, University of Illinois at Chicago (UIC). He leads the Multiagent Systems Group within the Artificial Intelligence Laboratory at UIC. His research focuses on rationality in artificial agents , particularly in environments with multiple interacting agents. Key areas include Interactive Decision-Making Bayesian Modeling for Agent Communication Recursive Belief Frameworks Time Pressure and Computational Trade-offs Evolution of Agent Communication Languages Dynamic Resource Allocation His recent work examines the rationality of insincere communication and methods to discount potentially insincere information. Past projects include modeling emotions in agent design and developing decision-theoretic approaches to game theory. He has secured funding from prestigious institutions such as the National Science Foundation (NSF) , Office of Naval Research (ONR) , and DARPA . Current and past projects emphasize Automated Linguistic Competence Evolution Emergent Communication Protocols Scalable Multiagent Learning Strategic Coordination under Uncertainty He earned his Ph.D. from the University of Michigan, Ann Arbor (1992) and has previously collaborated with the Department of Computer Science and Engineering (CSE) at the University of Texas at Arlington on DARPA-funded research.

• sociology of science and technology
• sociology of state and law
• anthropology of writing and reading

Alauzen Marie is a CNRS Research Fellow at LAMSADE, a research laboratory affiliated with Paris Dauphine University. Her work bridges the fields of sociology, law, and technology studies, with a particular focus on the social implications of digital systems and algorithms. Her research interests include: Sociology of science and technology Sociology of state and law Anthropology of writing and reading Dr. Marie's scholarly work examines the intersection of technology, governance, and social practices. Her recent publications explore how digital systems shape citizenship, public policy, and professional practices in various domains including housing benefits administration, surgical environments, and algorithmic governance. Her research demonstrates a consistent focus on making visible the often-hidden social dimensions of technological systems. Her notable publications include studies on IT citizenship through public source code examination, the politics of programming choices in social welfare systems, the transformation of surgical practices through robotic technologies, and the challenges of achieving algorithmic transparency and explainability. Dr. Marie's work is characterized by interdisciplinary collaboration, as evidenced by her co-authorship with researchers from diverse fields including computer science, law, and medicine. Her research has practical implications for policymakers, technologists, and social scientists seeking to understand and shape the relationship between technology and society.

Gulsen Tore YarginView profile

Senior Lecturer

• User Experience (UX) Research
• Human-Centered Design
• Conversational Agents
• +7 more

Gulsen Tore Yargin serves as Senior Lecturer in Design and Innovation Strategy at Brunel Design School within Brunel University London's College of Engineering, Design and Physical Sciences. Previously, she held Assistant Professor of Industrial Design position at Middle East Technical University where she directed the METU/BILTIR-UTEST Product Usability Unit. Her academic journey includes postdoctoral research at University of Cambridge Engineering Design Centre following a PhD focused on user research communication methodologies. PhD: Effective Communication of User Research Findings (University of Cambridge postdoctoral work) Postdoc: Engineering Design Centre, University of Cambridge Assistant Professor: Middle East Technical University (Industrial Design) Dr. Tore Yargin's research spans human-centered design in emerging technologies with emphasis on UX research methods, conversational agents, sensor-based innovations, and wellbeing design. Her work bridges academic theory with industry applications across white goods, home electronics, automotive, and defense sectors. Recent publications demonstrate methodological innovation in remote research during crises, animal-computer interaction, and voice interface design for diverse populations. Analysis of her 15 most recent publications reveals strong interdisciplinary trends connecting design theory with psychology, animal behavior, and public health. Key thematic clusters include pandemic-adapted research methodologies (2020-2023), animal laterality studies (2023-2024), and conversational agent design for elderly populations (2023). Her work consistently applies human-centered principles to novel contexts while developing new measurement frameworks. No scientific awards are currently documented in available sources. Dr. Tore Yargin has secured multiple research grants including TÜBİTAK-funded projects on remote UX research during COVID-19 and canine stress behavior analysis, plus industry collaborations with Arcelik-Beko on voice interfaces. Her co-author network spans veterinary science, psychology, and design fields including Dr. Dominik Havsteen-Franklin and Dr. Cristina Asenjo Palma. Current projects focus on technology-mediated human-canine interactions and remote research methodologies. Her research operates through interdisciplinary collaborations rather than dedicated physical labs, with emphasis on field-based studies in domestic and public settings. Current work explores canine wellbeing through non-invasive measurement techniques and voice interface adoption in emerging markets.

• Computer Vision
• Robotics
• 3D Vision
• +3 more

Dr. Diego Viejo Hernando is a Professor in the Department of Computer Science and Artificial Intelligence at the Higher Polytechnic School II, University of Alicante. He has been a faculty member since 2004, progressing from assistant professor to full professor in 2019. He is affiliated with the Institute of Computer Research and the Robotics, Vision and Intelligent Technologies (RoViT) research group. His academic qualifications: PhD in Computer Engineering and Computing (University of Alicante, 2008) Computer Engineering Degree (Alicante Polytechnic School, 2002) Dr. Viejo's primary research area is Computer Vision, specifically developing 3D vision systems for mobile robots to operate in real environments. His contributions include advancements in robot localization, navigation, and object manipulation. Recently, he has focused on Social Robotics for assistive applications, aiming to help disabled individuals through robotic assistance. He has led regional and local research projects and participated in national projects. His international experience includes a research residency at the Australian Centre for Field Robotics (University of Sydney) with Dr. Eduardo Nebot.

Harald AugustinView profile

Professor

• Industrial Engineering
• Operations Management
• Logistics
• +6 more

Harald Augustin is a Professor at Reutlingen University's ESB Business School, specializing in Industrial Engineering and Logistics. He leads the Virtual Engineering and Training Center (VETC) and the Steinbeis Transfer Center for Process Management in Product Development, Production, and Logistics. Current roles: Professor for "Fabriksysteme und Logistik", Director of VETC Research focus: Digital Manufacturing, Lean Logistics, Virtual Reality in Factory Planning Education Diplom-Ingenieur (Maschinenbau, Production Engineering), Karlsruhe Institute of Technology (KIT) Dr.-Ing. (Promotion) in Mechanical Engineering, TU Kaiserslautern Research stays in France, Canada, and Australia Research Interests center on optimizing logistics and production systems through digitalization, lean methodologies, and virtual collaboration. His work includes developing immersive planning systems, risk management frameworks, and agile engineering processes. Lab Affiliations : VETC (Virtual Engineering and Training Center) at ESB Business School Steinbeis Transfer Center for Process Management in Product Development, Production, and Logistics

Xiaoyan HongView profile

Associate Professor

• Distributed Systems
• Internet of Things (IoT)
• Wireless Communications
• +4 more

Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .

Maurizio BevilacquaView profile

Professor

• Industrial Engineering
• Digital Twin Technology
• Industry 4.0
• +4 more

Maurizio Bevilacqua serves as a Full Professor in the Department of Industrial Engineering and Mathematical Sciences at the University of Ancona (Università Politecnica delle Marche). His academic focus falls under the scientific sector IIND-05/A - Impianti industriali meccanici (Mechanical Industrial Plants). Based at the university's Engineering faculty located at Via Brecce Bianche in Ancona, Italy, Professor Bevilacqua maintains an active research profile with numerous publications spanning industrial engineering, digital transformation, and smart manufacturing technologies. Professor Bevilacqua's research interests center on cutting-edge industrial engineering topics including Digital Twin technology, Industry 4.0 implementation, smart retrofitting of industrial machinery, maintenance engineering, and robotics applications in manufacturing. His work demonstrates particular expertise in applying these technologies to challenging sectors such as oil and gas, food manufacturing, and maritime transportation. His research bridges theoretical innovation with practical industrial applications, as evidenced by his numerous case studies across different manufacturing sectors. An analysis of his recent publications (2023-2025) reveals a strong emphasis on digital transformation in industrial settings, with particular focus on Digital Twin implementations across various sectors. His work shows a progression from foundational Industry 4.0 concepts toward more sophisticated applications including Digital Triplet frameworks and human-machine integration approaches that anticipate Industry 5.0 paradigms. Many of his studies combine multiple advanced techniques such as machine learning, fuzzy cognitive maps, and association rule mining to solve complex industrial problems. Professor Bevilacqua's research demonstrates strong industry collaboration, with numerous case studies conducted in real industrial settings across multiple sectors including oil and gas, food manufacturing, and maritime transportation. While specific grant information isn't provided in the available materials, his extensive publication record suggests active participation in research projects that bridge academic theory with practical industrial implementation. His work frequently addresses challenges related to legacy system modernization, operational resilience, and sustainable manufacturing practices. Though specific laboratory affiliations aren't detailed in the available information, Professor Bevilacqua's research appears to focus on industrial applications of digital technologies, suggesting collaboration with industrial partners and possibly university research centers focused on manufacturing innovation, robotics, and industrial IoT. His work on smart retrofitting solutions indicates involvement with projects that transform conventional machinery into intelligent systems capable of integration within modern digital manufacturing ecosystems.

Sue KeayView profile

Adjunct Professor

• Artificial Intelligence
• Robotics
• Automation
• +2 more

Sue Keay serves as Director of the UNSW AI Institute and Chair of the Robotics Australia Group Board, while holding an Adjunct Professor position at Queensland University of Technology (QUT). Her career bridges academia, industry, and national strategy development, with prior leadership roles including CEO of the Queensland AI Hub, Research Director for Cyber-Physical Systems at CSIRO's Data61, and Chief Operating Officer for the Australian Centre for Robotic Vision (an ARC Centre of Excellence). Her research focuses on real-world deployment of artificial intelligence and robotics systems across economic sectors. She spearheaded Australia's first national Robotics roadmap and championed diversity in technology by establishing the Grace Hopper Celebration in Australia. Key interest areas include: Economic impact of automation Industry-academia collaboration frameworks Robotics commercialization pathways Women in computing initiatives No scientific awards were documented in source materials. While student advising details are absent, her strategic leadership manifests through organizations she chairs: Robotics Australia Group and Australia AI Collective. Current initiatives emphasize national AI coordination via the UNSW AI Institute and policy development for Australia's robotics ecosystem.

Hendrik ReefkeView profile

Senior Lecturer

• Sustainable Supply Chain Management
• Service Supply Chains
• Performance Measurement and Reporting
• +4 more

Dr Hendrik Reefke is a Senior Lecturer and Course Director at the Cranfield School of Management , specializing in Logistics and Supply Chain Management . With academic experience across the UK, Germany, and New Zealand, Reefke's expertise spans Warehousing , Sustainable Supply Chain Management , and Service Supply Chains . He earned an award-winning PhD from the University of Auckland, along with MCom and BCom (Honours) degrees in operations and supply chain management. Academic Appointments: Senior Lecturer (Cranfield School of Management) Course Leadership: Director of Logistics, Procurement and Supply Chain Management MSc and Procurement and Supply Chain Management MSc Reefke's research focuses on Sustainable Supply Chains , with strong emphasis on decision models , maturity frameworks , and performance measurement . His work addresses contemporary challenges like geopolitical disruptions (e.g., Brexit impacts) and technological innovations in warehousing (e.g., mobile robots, micro-fulfillment centers). Key publication scientific_awards include: Award-winning PhD thesis on sustainable supply chain management Co-authorship in International Journal of Operations & Production Management (2023, 2020) Contributions to Springer and Routledge publications (2021–2019) His academic contributions also include consulting projects on Sustainable Transport in the UK, Health Supply Chain transformations in developing countries, and Supply Chain Trends analysis. Reefke actively welcomes empirical research students in sustainability-focused supply chains.

• Wildlife Ecology
• Applied Ecology
• Animal Behavior
• +13 more

Brian E. Washburn is an Adjunct Assistant Professor in the Department of Fisheries and Wildlife at multiple universities and a Research Biologist at the USDA APHIS Wildlife Services, National Wildlife Research Center (NWRC) in Sandusky, OH. His work focuses on reducing wildlife hazards near airports through applied ecology research. Ph.D. in Animal Sciences, University of Kentucky M.S. in Wildlife and Fisheries Science, Pennsylvania State University B.S. in Environmental and Forest Biology, SUNY College of Environmental Science and Forestry A.A.S. in Biological Technology, SUNY Cobleskill Dr. Washburn’s research spans wildlife movement patterns, foraging ecology, urban ecosystem interactions, and non-lethal management practices. He investigates animal sensory ecology, antipredator behaviors, and the application of robotics in wildlife deterrence, particularly for raptors, geese, and gulls. His work includes evaluating habitat management tools like prescribed fire and insecticides to reduce airport wildlife use, live-capture method ethics for migratory birds, and mitigation strategies for human-wildlife conflicts, such as those involving Hawaiian cultural birds. He collaborates with the U.S. Department of Defense, civilian airports, and international partners in South Africa. Key partnerships include universities, state agencies, and private industry. He leads the research project Understanding, Preventing, and Mitigating the Negative Effects of Wildlife Collisions with Aircraft , integrating spatial data and technology for aviation safety.