Find Academic Supervisors

Gretchen A. MachtView profile

Associate Professor

• Human Systems Engineering
• Team Performance
• Sustainability
• +7 more

Gretchen A. Macht is an Associate Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island, College of Engineering. She specializes in Human Systems Engineering, with research emphasizing team performance, sustainability, electric vehicles, solar energy systems, and voting systems. Her work bridges engineering, ergonomics, and public policy. Her research interests focus on understanding and optimizing human-centered systems. She investigates team communication and performance through fuzzy cognitive maps and entropy modeling, develops sustainable design practices for products and energy systems, and analyzes user behavior in electric vehicles and solar installations. A significant portion of her research is dedicated to election systems, where she uses simulation to improve accessibility, safety, and efficiency of in-person voting, particularly during public health crises. Her recent publications span topics such as EV charging behavior, solar installation safety, voting simulation, and team dynamics. These works reflect interdisciplinary trends combining systems engineering, data analytics, ergonomics, and sustainability science. She frequently employs simulation, naturalistic data analysis, and human factors methodologies. Dr. Macht has secured substantial grant funding from organizations including the U.S. Election Assistance Commission, National Science Foundation, MIT, and Democracy Fund. She serves as Principal Investigator (PI) or Co-PI on projects related to election systems (e.g., SMILE, URI VOTES), ergonomic redesign of protective gear, and community solar development. She leads the SIS Lab and the URI VOTES initiative, fostering collaborative research on simulation and system design. Her lab supports graduate students in conducting impactful research at the intersection of engineering and societal challenges. Notable grants include: PI, MIT: “Voting in Person - White Paper” (2023) PI, US EAC: “SMILE 2.0” (2022) PI, Democracy Fund: “URI VOTES Pocket Guide Tool” (2022) Co-PI, NSF: “Election Science: Convergence Accelerator Workshop Proposal” (2021) PI, US EAC: “SMILE: Simulation Models for an Immersive Learning Environment” (2021) She has advised several graduate students, including Mehrsa Khaleghikarahrodi, Nicholas D. Bernardo Jr., and Tim Jonas, whose research aligns closely with her focus areas in EVs, elections, and team performance.

• Therapeutic Alliance
• Clinical Psychology
• Constructivism
• +7 more

Luis Botella Garcia Del Cid is a Full Professor at the Department of Psychology and Speech Therapy, Faculty of Psychology, Educational Sciences and Sports, Ramon Llull University. His work focuses on therapeutic alliance, constructivism, and clinical psychology. University: Ramon Llull University School: Faculty of Psychology, Educational Sciences and Sports Department: Psychology and Speech Therapy Email: lluisbg@blanquerna.url.edu His research spans therapeutic alliance, psychometrics, constructivist approaches, and clinical psychology. He investigates therapist personal style, team solutions in psychotherapy, and adolescent interactions with social media influencers. His recent projects include ACM Psicopersona and Proceso Terapéutico funded by AGAUR. Key publications (2022-2023) address dyadic coping during the pandemic, fuzzy cognitive mapping in clinical supervision, and teamwork in psychotherapy. Articles span interdisciplinary collaborations across 27 countries with a focus on psychological distress and relationship quality. He collaborates with the Psicopersona research group and participates in systems-thinking-based clinical models. His work integrates constructivist theory with practical applications in therapeutic contexts and adolescent digital behavior.

• Adult second language acquisition
• Phonetics
• Phonology
• +6 more

Shannon Barrios is an Associate Professor in the Department of Linguistics at the University of Utah, where she has served since 2022. She co-directs the Speech Acquisition Lab and specializes in second language acquisition, phonetics/phonology, and psycholinguistics. Her research explores how adult learners develop perceptual and lexical representations of novel phonological contrasts, with a focus on cross-language speech perception, orthographic effects, and social factors in input processing. BA, Spanish (SUNY Geneseo, 2004) MA, Linguistics (Syracuse University, 2007) PhD, Linguistics (University of Maryland, 2013) Her research interests span adult second language acquisition , phonolexical development , and accent bias . She investigates how learners process phonological contrasts, the role of orthography in speech perception, and the influence of social roles (e.g., teachers vs. peers) on language learning. Her work combines behavioral experiments, ERP/MEG neuroimaging, and computational modeling. Barrios’ recent publications (2024–2020) focus on representational fuzziness , talker variability , and lexical contrast mechanisms . Her 2024 Languages paper proposes a factorial typology for evaluating auditory word recognition scenarios, while her 2024 JASA Express study highlights individual listener variation in cross-language speech perception. Earlier works examine allophone acquisition, orthographic input effects, and neural correlates of phonological mapping. She has received two teaching awards from the University of Maryland (2013). Her teaching portfolio includes undergraduate and graduate courses in phonetics , psycholinguistics , and second language acquisition theory . She also leads workshops on research ethics, mentee development, and academic literacies.

• Computer Learning
• Fuzzy Sets and Systems
• Decision Support Systems
• +3 more

Prof. Sadettin Emre Alptekin is a full Professor of Industrial Engineering at Galatasaray University, Faculty of Engineering and Technology, where he also serves as Vice Dean. Since joining the university as a research assistant in 2000, he has steadily advanced through the academic ranks, becoming an Assistant Professor (2006–2010), Associate Professor (2010–2023), and finally Professor in 2023. Education: PhD (Dr), Industrial Engineering, Istanbul Technical University, Institute of Science and Technology, 2001–2006 MSc, Industrial Engineering, Galatasaray University, Faculty of Engineering and Technology, 1999–2001 BSc, Industrial Engineering, Istanbul Technical University, Faculty of Management, 1995–1999 Languages: Advanced English (C1), Upper-Intermediate French (B2), Advanced German (C1) Research Interests: Prof. Alptekin’s research focuses on Computer Learning , Fuzzy Sets and Systems , and Decision Support Systems . His work integrates artificial intelligence, machine learning, and soft-computing techniques to solve complex industrial and managerial problems in areas such as supply chain management, quality function deployment, blockchain adoption, and mental-health prediction. Publication Trends: Across more than 50 refereed publications, Prof. Alptekin has consistently explored hybrid intelligent models that combine fuzzy logic, machine learning, and multi-criteria decision-making. Recent articles emphasize deep-learning-based anomaly detection in industrial time-series data, blockchain adoption in supply chains, and machine-learning applications in subjective well-being and mental-health modeling. Scientific Awards & Honors: No specific awards or medals are listed in the provided documents. Research Leadership & Funding: Since 2008 he has been the principal investigator (executive) of 12 nationally funded projects, covering topics such as Industry 4.0 sub-system design, Internet of Things applications, artificial neural networks in organizational decision-making, big-data analytics, and strategic decision processes. Graduate Advising: He has formally supervised at least 8 master’s theses and numerous undergraduate projects. Representative thesis titles include Gaussian-process-regression-based man-hour prediction, machine-learning-driven human-behavior modeling, recommender-system design for e-commerce, thyroid-nodule diagnosis from scintigraphic images, software-effort estimation via neural networks, spreadsheet heuristics for joint-replenishment problems, cross-selling decision systems in insurance, and profitability analyses of Turkish banks under disinflation. Laboratories & Teams: While no dedicated laboratory name is disclosed, his continuous role as Vice Dean and principal investigator implies active leadership of the Industrial Engineering department’s research clusters in intelligent systems and decision support technologies.

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +11 more

Jianhua Zhang is a Professor of Computer Science and founding deputy head of the AI Lab at the Department of Computer Science, OsloMet - Oslo Metropolitan University, Norway. He holds affiliations with the Faculty of Technology, Art and Design. His career includes roles as Scientific Director at Vekia (France), Head of Machine Learning Lab, and Professorships at East China University of Science and Technology and Beijing University of Technology. He has held visiting positions at TU Berlin, TU Dresden, and the University of Catania. Educations: PhD in Electrical Engineering and Information Sciences (Ruhr University Bochum, 2005), Postdoctoral Research at the University of Sheffield (2005-2006). Research focuses on artificial intelligence, computational intelligence, cognitive human-machine systems, neuroergonomics, affective computing, and AI-driven neuroergonomics. Applications span engineering, biomedicine, finance, and business. He has led over 20 large-scale projects and published extensively (4 books, 13 chapters, ~200 papers). Leadership roles include Chair of IFAC Technical Committee on Human-Machine Systems (2017-2023), Vice Chair of IEEE Norway Section, and editorial roles at journals like Frontiers in Neuroscience and Cognitive Neurodynamics . He organized major conferences like IFAC HMS2025 (Beijing) and ICMLT 2024 (Oslo). Awards: Stanford/Elsevier Top 2% Scientists (2023/2024), Senior Research Fellowship (CSC, 2012), Max Planck Fellowship (2011), Shanghai Pujiang Talent (2007), DAAD Scholarship (2002-2004). Grants and advising: PI for 20+ projects, advising PhD students in AI, machine learning, and control systems. Teaching includes courses on computational intelligence, IoT, and fuzzy systems at both undergraduate and graduate levels. Labs/Teams: AI Lab at OsloMet, Machine Learning Lab (Vekia), and collaborations with institutions globally. Current work emphasizes AI ethics, neuroergonomics in smart cities, and adaptive human-machine systems.

Ramana VinjamuriView profile

Associate Professor

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +4 more

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

• Artificial Intelligence
• Decision-Making Systems
• Fuzzy Logic
• +5 more

Núria Agell Jané is a Full Professor at ESADE Business School , Universitat Ramon Llull, specializing in Artificial Intelligence and Decision-Making Systems. She leads the JUICE (Judgements and Decisions in the Market Place) research group and the ESADE D3 - Institute for Data-Driven Decisions . Doctorate in Applied Mathematics (Qualitative Reasoning Modelling), UPC-BarcelonaTech Bachelor's in Mathematics, University of Barcelona Her research focuses on Artificial Intelligence , Decision-Making Systems , and Fuzzy Logic , with applications in Business, Marketing, and Sustainability. Recent publications emphasize Hesitant Fuzzy Linguistic Term Sets , Consensus Modeling , and AI in Sustainable Development . She coordinates multiple publicly and privately funded projects applying AI to Business and Marketing challenges. As PhD Programme Director (2005-2013) and current Department Director of Operations, Innovation and Data Sciences , she has shaped academic and research strategies at ESADE. Her work spans collaborations with institutions like LAAS-CNRS (France) and University of Edinburgh Business School , with over 40 journal publications and 50 conference contributions. She has directly supervised 11 PhD students in AI and Decision Sciences.

Samet ÖZDEMİRView profile

Researcher

• Human Resources Management
• Organizational Behavior
• Reverse Mentoring
• +5 more

Res.Asst.Dr. Samet ÖZDEMİR is a faculty member at the Department of Human Resources Management within Sakarya University's Faculty of Business Administration. He holds a Researcher academic rank and teaches courses such as Social Entrepreneurship, Career Planning, Human Resources Management, and Graduation Project supervision. His research focuses on reverse mentoring, HR risk assessment, workplace discrimination, leadership competencies, and sustainable career development. He has published extensively in national and international journals, contributing to organizational behavior and management science domains. Education & Academic Background: While specific educational details are not explicitly stated, his titles (Res.Asst.Dr.) indicate doctoral-level qualifications in a relevant field such as Business Administration or Human Resources Management. His academic contributions include co-authoring book chapters on topics like digital HR management and sustainable entrepreneurship. Research Interests: His work bridges theoretical frameworks with practical HR applications, emphasizing reverse mentoring case studies (e.g., research assistants-advisors dynamics), ethical recruitment practices, and leveraging digital tools for leadership development. He also explores cross-cultural career perceptions and the role of lifelong learning in managerial roles, as seen in his analysis of historical business figures like Madam C.J. Walker. Publication Trends: Recent works (2022-2023) highlight digital transformation in HR practices, entrepreneurship competency frameworks, and LinkedIn-based executive leadership analysis. Earlier studies (2015-2017) addressed blue-collar workforce underrepresentation in academic research and discrimination in HR job advertisements. Teaching & Supervision: He manages various theses and oversees vocational training programs, integrating practical workplace experiences into academic curricula. Courses like 'Vocational Training in Business' and 'Career Planning' reflect his commitment to bridging educational theory with professional readiness. Awards & Grants: No specific awards are mentioned, though his active publication record suggests contributions meriting academic recognition. Grant details are not provided in the text. Labs & Teams: While no specific labs are noted, his collaborative publications indicate involvement in academic teams focusing on human resources innovation, organizational behavior, and sustainable development initiatives.

Gonzalo NápolesView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Cognitive Science
• +5 more

Gonzalo Nápoles is an Assistant Professor at Tilburg University's School of Humanities and Digital Sciences, Department of Cognitive Science and AI. He holds a Doctoral Degree in Computer Science from Rough Cognitive Networks (2014–2017). His research focuses on AI applications in cognitive modeling, pattern classification, and neural networks with interdisciplinary applications in healthcare, finance, and social sciences. Key research areas include Fuzzy Cognitive Maps, data augmentation techniques for neuroimaging, and interpretable machine learning systems. He actively contributes to UN Sustainable Development Goals related to education and innovation. Recent work explores AI ethics, financial risk assessment using dynamic networks, and sensory processing disorder analysis through neural networks. Education: Doctoral Degree in Computer Science, 2017 (Thesis: Rough Cognitive Networks) Prize-winning research includes Best Paper Awards at CIARP 2021 and IWAIPR 2023. He collaborates internationally, hosting academic visitors and serving on multiple PhD committees. Current projects involve stock prediction using graph neural networks and fMRI data augmentation methodologies. Awards: Best Paper Award - CIARP 2021 Best Paper Award - IWAIPR 2023 Nápoles advises on PhD theses in cognitive science and AI applications. His work bridges theoretical advancements with practical implementations in healthcare, finance, and urban systems.

Shabnam Sadeghi EsfahlaniView profile

Associate Professor

• Robotics
• Mechatronics
• Artificial Intelligence
• +3 more

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

Benjamin GarnerView profile

Associate Professor

• Consumer Behavior
• Social Media Marketing
• Wine Tourism
• +4 more

Benjamin Garner serves as Associate Professor of Marketing in the College of Business at the University of Central Arkansas (UCA), maintaining an active research program from his office in COB 312I. His contact information includes email bgarner3@uca.edu and phone (501) 450-5329, reflecting ongoing institutional affiliation. Dr. Garner's research centers on consumer behavior in experiential marketing contexts with three primary thrusts: Social media engagement dynamics in wine tourism and farmers' markets Authenticity construction through scarcity and sustainability messaging Innovative business education pedagogy including flipped classroom methodologies Analysis of his 2021-2025 publications reveals consistent methodological emphasis on ethnographic observation and text-mining of user-generated content across platforms like Facebook, Instagram, and Twitter. His work uniquely bridges agricultural marketing contexts with digital communication strategies, particularly examining how language structures influence consumer perceptions of authenticity. No scientific awards or student advising information appears in available records. Similarly, grant funding details and laboratory affiliations remain undocumented in the provided materials, though his publication output indicates sustained research activity across multiple scholarly domains.

• Artificial Intelligence
• Robotics
• Data Science
• +4 more

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

• Autonomous Industrial Vehicles
• Multi-Agent Systems
• Fuzzy Logic
• +7 more

Jean-Marie Bonnin is a Researcher at IMT Atlantique , affiliated with the Network Systems, Cyber Security and Digital Law department. His work spans autonomous industrial vehicles, vehicular networks, and cooperative systems, with a focus on energy management, task allocation, and safety protocols. IMT Atlantique, Rennes Campus Research in Industry 4.0 and Smart Mobility Research Interests : Autonomous Industrial Vehicle Fleets Fuzzy Logic for Multi-Agent Systems V2X Communication Protocols Scientific Contributions include: Modeling energy consumption in extreme-edge IoT nodes Decentralized task allocation for autonomous vehicles Collision avoidance in industrial environments

Laurence BrooksView profile

Professor

• Ethics of emerging technologies
• ICT for Development (ICT4D)
• Social Theory
• +10 more

Laurence Brooks is Professor of Information Systems at the Information School (iSchool), University of Sheffield, and Visiting Professor of Technology and Social Responsibility at De Montfort University’s Centre for Computing and Social Responsibility (CCSR). He has held significant academic leadership roles, including Director of the Doctoral College at DMU and Programme Coordinator at the iSchool. His work bridges technology and societal impact, with a focus on ethics, governance, and development. Education: PhD in Information Systems, University of Liverpool, UK BSc (Hons) in Psychology, University of Bristol, UK His research interests center on the ethical and societal implications of emerging technologies, especially in public sectors. He employs social theories such as Structuration Theory, Actor Network Theory, and Sociomateriality to investigate how ICT shapes and is shaped by individuals, groups, and institutions. Key domains include eGovernment, ICT4D, healthcare informatics, and digital policy. His methodological approach is predominantly qualitative, emphasizing interpretive and ethnographic methods. The recent publications reflect a sustained engagement with big data governance, digital public services in developing countries, and ethical AI. Trends show a focus on institutional arrangements, user trust, and socio-technical design in complex environments. His work often involves cross-cultural and international case studies, particularly in Nigeria, Bangladesh, and Zambia. Scientific Awards and Recognition: Brunel University London Star Award (2012) Shortlisted for Brunel Innovative Teaching Award (2012) Volunteer Spotlight Award, AIS (2008) ICIS Best Paper Nomination (2005) ECIS Best Paper Award (2000) Laurence Brooks has supervised several PhD students, including Ruairi Blake, Daniel Malok, Abigail Udoma, Tonii Leach, and Vincent Bryce. He has secured major research grants, including the €4 million EU Horizon 2020 TechEthos project and the €2.9 million SHERPA project, both focused on ethical dimensions of smart information systems. He is also a local PI for the EPSRC Horizon CDT on digital identity and data creativity. He is actively involved in research communities, having served as Past President of UKAIS, UKSS, and AIS SIG on Philosophy of IS. He contributes as an editorial board member for journals like Journal of the AIS and Information Technology and People , and has led numerous conference tracks and panels. He also co-chairs the ICT4D North of England group.

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +9 more

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.