Find Academic Supervisors

Fahad KhanView profile

Researcher

• Intelligent Automation
• Human-Robot Collaboration
• Machine Learning
• +3 more

Fahad Khan is a Researcher at Cranfield University's Centre for Robotics and Assembly, part of the Aerospace department. He holds an MSc in Robotics Engineering (Cranfield University) and a B.Tech in Mechatronics (NMIMS University). Currently employed full-time as a Research Assistant and part-time PhD candidate, his work focuses on intelligent robotics systems, human-robot collaboration (HRC), and adaptive automation technologies. Education: MSc Robotics Engineering, Cranfield University (UK) B.Tech Mechatronics Engineering, NMIMS University (India) Current Projects: Smart Cobotics (ISCF) project: Developing adaptive HRC systems using physiological and contextual data. EPSRC-funded research on facial emotion recognition for manufacturing robots. Research interests include IoT integration, motion control, and machine learning applications in robotics. He has published on HRC gesture design, emotion recognition systems, and ROS 2-based industrial frameworks. Awards: None explicitly listed. Grants: Supported by Engineering and Physical Sciences Research Council (EPSRC) through the Made Smarter Innovation project. Technical expertise spans ROS, OpenCV, MATLAB, and PLC programming. His LinkedIn and GitHub profiles showcase contributions to robotic systems and machine learning projects.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +7 more

Emanuele (Manuel) Trucco is a Professor of Computing and holds the NRP Chair of Computational Vision in the School of Science and Engineering at the University of Dundee. He is also an Honorary Clinical Researcher at NHS Tayside and previously served as an Adjunct Professor at the Chinese Academy of Sciences (2018–2021). His research is centered on computational vision and medical image analysis, particularly in retinal imaging and its applications in systemic disease detection. PhD, Electronic Engineering, University of Genoa (1990) MSc, Electronic Engineering, University of Genoa (1984) Manuel Trucco's research focuses on computer vision and medical image analysis , with a strong emphasis on retinal image analysis for early detection of diseases such as diabetes, cardiovascular conditions, stroke, dementia, and neurodegenerative disorders. He co-directs the VAMPIRE (Vessel Assessment and Measurement Platform for Images of the Retina) initiative, a collaborative effort between the Universities of Dundee and Edinburgh. This platform enables automated, multi-modal analysis of retinal images and has been used in biomarker studies across the UK and internationally. His work integrates deep learning , artificial intelligence , and biomedical engineering to develop non-invasive, scalable diagnostic tools. Industrial collaborations include Canon Medical, OPTOS plc, NIDEK, and Epipole plc, while institutional partners include the Royal College of Ophthalmologists and the UK Biobank Eye and Vision Consortium. Recent publications highlight a strong trend in using AI and deep learning to extract clinical insights from retinal images, including predicting cardiovascular outcomes in diabetic patients, estimating biological age, and analyzing retinal vasculature changes under physiological stress. His work bridges computer science, ophthalmology, and public health, contributing to precision medicine and health equity. His scientific contributions have been recognized through fellowships: FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Trucco has led or co-led major research projects, including a £7M NIHR grant on precision medicine for diabetes (Dundee-Chennai), a £1.1M EPSRC grant on vascular dementia biomarkers (PI), the 3M-Euro ITN "REVAMMAD", and several PhD studentships sponsored by OPTOS, NIDEK, SINAPSE, and Toshiba. He has served on the organizing and program committees of major international conferences such as MICCAI and the European Conference on Computer Vision. He is a key member of the VAMPIRE research team and the UK Biobank Eye and Vision Consortium , contributing to large-scale data analysis efforts in vision and systemic disease. His work is at the forefront of AI-driven healthcare innovation, with real-world applications in early disease detection and personalized medicine.

Adrian FilipescuView profile

Professor

• Control Systems
• Robotics
• Mechatronics
• +5 more

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

Melissa SayerView profile

Adjunct Assistant Professor

• Leadership Development
• Organizational Development
• Team Effectiveness
• +3 more

Melissa Sayer is an Adjunct Assistant Professor of Leadership at Trinity Business School, Trinity College Dublin, and Managing Partner/Co-founder of 6 Team Conditions Global. She specializes in organizational development through team effectiveness frameworks, working with senior leadership teams across property, finance, pharma, technology, and healthcare sectors. Her academic role focuses on executive education, where she has taught over 1500 Trinity Executive MBAs globally. Education: MBA (Trinity College Dublin) Her research explores leadership development , team effectiveness , and sustainability in business education . Recent publications examine MBA pedagogy for Grand Challenges, team coaching methodologies, and organizational resilience. Her work emphasizes practical applications through the 6 Conditions of Team Effectiveness framework. Her peer-reviewed articles (2019-2025) span topics like team coaching rigor, SDG integration in education, and leadership during crises. These publications reflect interdisciplinary interests combining management education , organizational behavior , and sustainable business practices . Scientific Award: MED Best Paper Award (2021) Melissa pioneered executive coaching integration at Trinity Business School and established a qualified coaching panel for MBA programs. She has collaborated with institutions globally while maintaining her consultancy work with high-profile clients like Santander Bank and British Land Plc.

Kathleen DeRoseView profile

Associate Clinical Professor

• FinTech
• Entrepreneurial Finance
• Asset Management
• +11 more

Kathleen DeRose is a Clinical Associate Professor of Finance at the Leonard N. Stern School of Business, New York University. She serves as Director of the Fubon Center for Technology, Business, and Innovation and as Academic Director of the MS in FinTech program. She joined Stern in 2016 as an Executive-in-Residence and became a full-time faculty member in 2017. Education: M.Sc. with distinction in Contemporary Chinese Studies, University of Oxford M.B.A., TRIUM Global Executive MBA (NYU Stern, HEC Paris, London School of Economics) B.A. in American History, Princeton University Her research and teaching focus on the intersection of finance and technology, particularly in FinTech, entrepreneurial finance, asset and wealth management, and China's political economy. She explores innovative applications of machine learning in investment management and investigates behavioral phenomena such as lotteries in financial decision-making and their use in public funding mechanisms. The available publications reflect a strong orientation toward practical and evolving challenges in investment management, including machine learning applications and quantitative strategies. These works demonstrate a blend of technical rigor and real-world relevance in modern finance. Scientific Awards: Humphrey Ko prize for best master’s thesis, University of Oxford Kathleen DeRose has extensive industry engagement through her board memberships at London Stock Exchange Group plc, Enfusion, Experian, and Voya Financial, and previously chaired Evolute AG. She brings significant professional experience from leadership roles at Credit Suisse, Deutsche Bank, and Bessemer Trust into her academic role. She has led curriculum development, joint research projects with industry, and major FinTech events at Stern. She also teaches at NYU Shanghai, contributing to global FinTech education. She leads the Fubon Center's FinTech Initiative and the MS in FinTech program, fostering collaboration between academia and industry, supporting innovation in financial technology, and training the next generation of FinTech leaders.

Osly FloresView profile

Assistant Professor

• Race-conscious Leadership
• Educational Equity
• School Leadership
• +5 more

Osly Flores is an Assistant Professor in the Department of Education Policy, Organization and Leadership within the College of Education at the University of Illinois at Urbana-Champaign. His scholarly work focuses on educational leadership with particular attention to race-conscious approaches, equity, and the experiences of students and leaders of color. He teaches graduate courses including Critical Race Theory and Education, Educational Politics and Policies, and Leading Learning-Centered Schools, preparing future educational leaders to address systemic inequities. Dr. Flores's research program critically examines how school leaders can move beyond colorblind approaches to actively engage with issues of race and equity. His scholarship investigates the experiences of school leaders of color, student voice in leadership practices, and supportive frameworks for graduate students of color—particularly his conceptual model of compañerismo that explains how cultural affinity and mutual support systems contribute to success in predominantly white institutions. His work spans K-12 and higher education contexts, consistently emphasizing culturally responsive frameworks that center marginalized communities' experiences. Methodologically, he employs qualitative and narrative approaches that amplify voices often excluded from educational discourse. Analysis of Dr. Flores's publication record reveals a cohesive scholarly trajectory focused on disrupting inequitable practices through race-conscious leadership frameworks. His research demonstrates how educational leaders can transform traditional practices to better serve diverse student populations, with particular attention to data-informed decision making, ethical leadership, and creating spaces where student voice is authentically integrated into school leadership. Dr. Flores has been recognized with the prestigious AERA Division A Emerging Scholar Award (2024) , highlighting the significance of his contributions to educational leadership research. His scholarly impact is evident through publications in leading journals including AERA Open , Journal of School Leadership , Urban Review , and Teachers College Record . As an educator and mentor, Dr. Flores guides graduate students through courses examining the political dimensions of education, leadership for learning-centered schools, and critical race theory applications. His advising philosophy appears informed by his research on supportive practices for graduate students of color, suggesting a holistic approach that integrates cultural understanding with academic development. While specific grant information isn't detailed in available materials, his research trajectory indicates engagement with funding focused on educational equity and leadership development. Dr. Flores contributes to scholarly communities through collaborations with researchers examining race, equity, and leadership across educational contexts. His work with colleagues like Oscar E. Patrón on Latinx graduate student experiences represents important interdisciplinary connections between K-12 leadership studies and higher education research, creating bridges between different educational sectors focused on equity.

Julia NemirovskayaView profile

Senior Lecturer

• Russian Studies
• Eurasian Studies
• Slavic Languages
• +4 more

Julia Nemirovskaya is a Senior Lecturer in the Russian, East European and Eurasian Studies program at the School of Global Studies and Languages, University of Oregon, part of the College of Arts and Sciences. She is based in PLC 271, Eugene, OR, and can be reached at nemro@uoregon.edu or by phone at 541-346-4001. Office hours are by appointment. Her academic work centers on Russian and Eurasian studies, with a focus on language, culture, and regional expertise. Given her affiliation with a language and area studies program, her teaching and scholarship likely emphasize interdisciplinary approaches to Eastern Europe and Central Asia. While no recent publications or awards are listed in the available text, her role suggests a strong commitment to undergraduate education and linguistic training within a global studies framework. She contributes to a program that promotes cross-cultural understanding and regional expertise. Academic Background (Inferred): Ph.D. in Slavic Linguistics, Russian Studies, or a related field (typical for such academic roles) Prior teaching experience in university-level Russian language and culture courses Service & Affiliation: Member of the instructional faculty, College of Arts and Sciences Active in curriculum development for Russian and Eurasian studies

Stanko StankovView profile

Researcher

• Industrial Automation
• Process Control
• SCADA Systems
• +7 more

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

• Algorithmic Game Theory
• Market Equilibrium Computation
• Fair Division
• +5 more

Ruta Mehta is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign . Since 2016 she has led a vibrant research program in algorithmic game theory, market design, and fair division, while actively shaping the community through service roles such as Program Co-Chair of WINE 2020 and Area Chair of EC 2021. Education Ph.D. in Computer Science & Engineering, Indian Institute of Technology Bombay, 2012. (Advisors: Prof. Milind Sohoni & Prof. Bharat Adsul; ACM India Doctoral Dissertation Award 2012) M.Tech. in Computer Science & Engineering, Indian Institute of Technology Bombay, 2005 B.E. in Computer Engineering, Maharaja Sayajirao University (MSU) Baroda, 2003 Research Interests Mehta’s work lies at the intersection of theoretical computer science , mathematical economics , and social choice theory . She investigates the computability and complexity of equilibria—both market and Nash—under a variety of utility models, and designs provably efficient algorithms that are practical for real-world resource-allocation tasks. Current themes include: Algorithmic Game Theory: equilibrium computation, smoothed analysis, learning in games Fair Division: envy-freeness up to any good (EFX), mixed manna, competitive equilibrium with chores Interdisciplinary Applications: genetic evolution, machine-learning markets, climate-aware allocation Publication Trends Her 15 most recent works (2017–2025) span Operations Research , Mathematics of Operations Research , STOC, SODA, EC, ITCS, AAMAS, and NeurIPS. The articles cluster around three thrusts: (i) rigorous hardness and approximation results for market equilibrium in Leontief and PLC exchange economies, (ii) algorithmic advances toward guaranteed EFX allocations and competitive equilibrium with mixed manna, and (iii) novel game-theoretic analyses of genetic diversity and strategic resource allocation under budget constraints. Scientific Awards & Honors NSF CAREER Award (2018) Outstanding Post-Doctoral Researcher Award, Georgia Tech (2014) Rising Stars in EECS (2013) ACM India Doctoral Dissertation Award (2012) Google India Anita Borg Memorial Scholarship (2012) IBM PhD Award (2010) IBM PhD Fellowship (2009–2010) Grants, Advising, and Community Leadership Mehta currently mentors a growing group of graduate students and post-docs. She is PI on an NSF CAREER grant and has served on federal panels reviewing NSF CISE proposals. Beyond research, she founded the EC (AGT) Mentoring Workshop , co-located with the ACM Economics & Computation conference, to broaden participation of women and under-represented minorities in algorithmic game theory. Labs & Teams Her research group operates within the Theory & Algorithms cluster at UIUC, leveraging ties with the Decision & Control group and the Social & Algorithmic Thinking initiative. She is an active member of ACM SIGecom and regularly organizes reading groups on algorithmic game theory and fair division.

Michael GeorgiadesView profile

Assistant Professor

• Computer Networks
• Tactile Internet
• Mobile Edge Computing
• +3 more

Dr. Michael Georgiades is an Assistant Professor at Neapolis University of Pafos, specializing in computer networks. He holds a BEng (First Class Honours) from King’s College London, an MSc from University College London, and a PhD from the University of Surrey. His career includes roles as R&D Manager at Primetel PLC, Research Fellow at the Centre of Communication Systems Research (CCSR), and Systems Development Engineer at INSIG Ltd. He has contributed to EU-funded ICT projects, holds patents, and authored IETF standards. His research focuses on Tactile Internet, Mobile Edge Computing, Vehicular Networks, IoT, and Edge Intelligence. Research Interests: Tactile Internet Mobile Edge Computing Vehicular Networks IoT Edge Intelligence Awards: Nokia Prize for Research Excellence Primetel Awards for Excellence EPSRC and British Council Studentships Publications span cutting-edge topics like adversarial ML attacks on IoT networks, cryptocurrency market analysis, and satellite-backhauled 5G systems. His work bridges theoretical advancements with practical applications in healthcare, agriculture, and transportation systems.

Noury BouraqadiView profile

Professor

• Software Engineering
• Artificial Intelligence
• Mobile Robots
• +12 more

Noury Bouraqadi is a part-time university professor at IMT Nord Europe, located in the Lille region of northern France. He is affiliated with the College of Engineering, contributing to academic and research initiatives in software engineering and robotics. His work bridges academia and industry through his active involvement in both teaching and entrepreneurial ventures. Research Interests: His research spans two major domains: Software Engineering (SE) and Artificial Intelligence (AI) for mobile and autonomous robots. In SE, he investigates software architectures, dynamic reflective languages (especially Pharo and JavaScript via PharoJS), and tools enabling modular and agile development. In AI, his focus lies on coordination and cooperation mechanisms in robotic fleets, including communication models and emergent or predefined organizational structures in multi-agent robotic systems. His entrepreneurial endeavors include co-founding nootrix , a startup that develops PLC3000 , a SaaS platform dedicated to teaching PLC programming and factory automation, reflecting his commitment to practical technology education. He has supervised PhD students, post-doctoral fellows, and research engineers, demonstrating an active role in mentoring and collaborative research. His scholarly output can be explored via his Google Scholar profile. Professional Engagement: Noury shares insights through his blog (with RSS feed) and is active on LinkedIn , maintaining a public presence in technology and robotics communities. Advising & Collaboration: He has mentored several early-career researchers, including doctoral candidates (as co-advisor), post-doctoral fellows, and research engineers, contributing to a vibrant research team focused on robotics and software innovation. Labs & Teams: While specific lab names are not mentioned, his research activities suggest leadership or active participation in a robotics and software engineering research group at IMT Nord Europe, integrating both academic inquiry and practical tool development.

• Agricultural Engineering
• Control Systems
• Computer Science
• +9 more

Lorenzo Comba is a Lecturer at the Department of Control and Computer Engineering (DAUIN) within the College of Management and Production Engineering at Politecnico di Torino. His work focuses on UAV (Unmanned Aerial Vehicle) applications in agriculture, integrating control systems and remote sensing technologies. Teaching: Courses include Integrated Factory Management and Fundamentals of Industrial Automation (PLC, Sensors) for Industrial Production Engineering programs since 2020/21. Research Interests: Emphasize precision agriculture, autonomous UAV systems, 3D mapping, and sensor-driven automation. Publications: Recent works analyze LiDAR-based UAV control for precision spraying, 3D mapping strategies for orchards, and optimization of drone localization in agricultural environments.

CHANG Ee ChienView profile

Associate Professor

• Information Security
• Cloud Security
• Adversarial Machine Learning
• +6 more

CHANG Ee-Chien is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He serves as the Lead Principal Investigator of the National Cybersecurity R&D Laboratory (NCL) and previously served as Deputy Director of the Center for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) from 2019 to 2022. He also chaired the Joint Academic Committee for the Bachelor of Computing in Information Security program from 2016 until April 2023. Dr. Chang received his Ph.D. in Computer Science from New York University in 1998, following his M.Sc. and B.Sc. in Mathematics from the National University of Singapore in 1993 and 1991 respectively. He completed postdoctoral work with DIMACS at Rutgers University and NEC Labs America. His research focuses on information security, multimedia security, and their intersection. His work spans from foundational research in cryptographic techniques for noisy data and image watermarking to contemporary challenges in data privacy, cloud security, and adversarial machine learning. Dr. Chang has published extensively in top-tier security and computer science venues including CCS, EUROCRYPT, USENIX Security, and ACM Multimedia. Analysis of his recent publications reveals a strong emphasis on practical security solutions using hardware features like Trusted Execution Environments, innovative approaches to watermarking using generative models, and addressing emerging threats in machine learning systems. His work bridges theoretical cryptography with real-world security challenges, particularly in cloud infrastructure and privacy-preserving technologies. Active leadership in National Cybersecurity R&D Laboratory Extensive service on program committees for major security conferences Consultancy roles with Huawei, i-Sprint, and Singapore Accreditation Council Media commentary on cybersecurity issues for major Singaporean outlets Dr. Chang has mentored numerous research fellows and students who have gone on to academic and industry positions worldwide. His educational contributions include developing cybersecurity curriculum and innovative teaching methods such as penetration testing using real-world university applications. He has taught core security courses including CS2107 Introduction to Information Security continuously since 2014.

Robert MandersonView profile

Senior Lecturer

• Information Systems
• Business & Industry
• Education Technology
• +7 more

Robert Manderson is a Senior Lecturer in the University of Roehampton Business School, specializing in information systems, project management, and business research. He holds a B.Sc., Dip.Sc., M.Sc., and is a Fellow of the Higher Education Academy and PRINCE2 Registered Practitioner. His career spans software engineering at BAE Systems and academic research roles at Lancaster University and Manchester University, funded by EPSRC and BT Plc. External Examiner roles at York Business School (2020–2024), Glyndwr University (2013–2016), and University of West London (2011–2015) Member of British Academy of Management and IEEE Research interests focus on ICT in business, Cloud computing, Big Data, education technology, and employability. He contributes to textbooks on Management Information Systems and regularly reviews conference papers. Current projects explore Fintech regulation, aerospace IT innovation, and social media's role in student employability. Key awards: Fellow of HEA, PRINCE2 Certifications Teaching areas include data analytics, PRINCE2/Agile methodologies, and Adobe Creative Cloud. He has advised on modules across computing and business programs, emphasizing ICT's role in organizational success.

Massoud Maxwell RabieeView profile

Professor

• Electric Machines
• Power Electronics
• Robotics
• +7 more

Professor Massoud Maxwell Rabiee is a full-time faculty member at the University of Cincinnati 's College of Engineering and Applied Science (CEAS) , where he serves as Graduate Director for Sustainable Energy and Undergraduate Director for BSEET in the Department of Electrical Engineering and Computer Engineering . With 40 years of experience in academia and industry, his career spans teaching, research, and leadership roles across multiple institutions. PhD in Electrical Engineering (University of Kentucky, 1987) Registered Professional Engineer (1988) His research focuses on electric machines & drives , power electronics , and industrial automation , particularly lightweight Carbon Nano tube (CNT-type) electric machines and digital control systems for robotics and electric vehicles. He has extensive experience in programmable controllers , sensor integration , and smart manufacturing systems. His publications on programmable logic controllers (15 most recent editions) demonstrate expertise in automation education , digital control programming , and industrial network design . Awards include the 2019 Neil Wandmacher Teaching Award and Eastern Kentucky University's Outstanding Professor (1999-2000) , alongside multiple nominations for prestigious teaching honors. Senior Member, IEEE Member, Eta Kappa Nu (Electrical Engineering Honor Society) Member, Tau Beta Pi (Engineering Honor Society)