Find Academic Supervisors

Mike FaganView profile

Lecturer

• Programming Languages
• Automatic Differentiation
• High-Level Languages
• +3 more

Mike Fagan is a Lecturer in Computer Science and Research Scientist at Rice University. He holds a B.A. in Mathematics, Mathematical Sciences, and Electrical Engineering, an M.S. in Electrical Engineering, and a Ph.D. in Computer Science, all from Rice University. His research focuses on programming language design, automatic differentiation, and high-level language implementation. He has contributed to tools like HPCToolkit for performance analysis of parallel programs and explored inexact computation strategies to improve energy efficiency in supercomputing. Dr. Fagan has taught courses such as Introduction to Computer Systems, Cyber-Physical Systems, and Advanced Algorithms. His pedagogical approach emphasizes problem-solving and personalized instruction through class-wide collaborative sessions. He has collaborated on projects addressing energy-precision tradeoffs in computing systems and received a Distinguished paper award in 2009 for work on performance analysis of petascale applications. Education: B.A./M.S./Ph.D. in Mathematics/EE/CS (Rice University) Research: Programming Languages, Automatic Differentiation, Parallel Computing Tools: HPCToolkit, OpenAD/F Awards: Distinguished Paper Award (2009) His career has been entirely at Rice University, balancing research and teaching since 1991. He has explored innovative approaches to overcoming hardware limitations through inexact computing and contributed to advancing methodologies for scientific programming and libraries.

• Control Systems
• Optimization
• Engineering Education
• +7 more

Dr. Paul N Beuchat is a Senior Lecturer - Education Specialist in the Department of Electrical and Electronic Engineering at the Faculty of Engineering and Information Technology. His expertise spans control systems, optimization techniques, and engineering education, with a focus on approximate dynamic programming and its applications in robotics and autonomous systems. Education : PhD in Automatic Control from ETH Zurich (2019) M.Sc. in Robotics, Systems and Control from ETH Zurich (2014) B.Eng. in Mechanical Engineering and B.Sc. in Physics from University of Melbourne (2008) Research Interests : Paul's research integrates control theory with educational innovation. He develops approximate dynamic programming algorithms for large-scale systems, particularly in building control and quadcopter coordination . His work also explores project-based learning pedagogies, leveraging hardware-accelerated computing and IoT technologies to enhance engineering education. Recent Publications emphasize interdisciplinary teaching methods , quadcopter control systems , and data-driven optimization for autonomous vehicles. His projects include 5G URLLC Factory of the Future (2022-2023), reflecting his commitment to bridging theoretical control systems with practical educational frameworks. Advising & Grants : Paul contributes to educational grant initiatives such as the 5G URLLC Factory of the Future research contract. He actively participates in curriculum development and pedagogic research , focusing on student engagement and competency-based learning in engineering.

David MonniauxView profile

Researcher

• programming languages
• static analysis
• model checking
• +2 more

David Monniaux is a senior researcher (directeur de recherche) at CNRS, the largest French national scientific research agency. He works at VERIMAG, a computer science laboratory jointly operated by CNRS and the University of Grenoble. His research focuses on proving software correct, connecting to computability theory, complexity theory, and mathematical logic. Dr. Monniaux holds a PhD in Computer Science (2001, Université Paris Dauphine) and a habilitation in Computer Science (2009, Université Joseph Fourier, Grenoble), as well as an agrégation in mathematics. His research interests span programming languages, static analysis, model checking, compilers, and assisted proof. He has particular expertise in proving strong properties of critical software used in civil aviation, especially regarding numerical overflows and floating-point computations. He has also worked on cryptographic protocols and probabilistic systems. His approach combines abstract interpretation, formal verification, and mathematical logic to address software correctness problems. Dr. Monniaux's recent work shows a strong focus on static analysis techniques, program verification, and formal methods. His publications demonstrate expertise in polyhedral analysis, strategy iteration, and the application of SMT solving to program analysis problems. His research bridges theoretical computer science with practical applications in safety-critical systems. Among his notable scientific contributions are projects like VERASCO (integrating static analysis into the CompCert certified compiler), STATOR (exploring advanced techniques for automatic inference of program invariants), and ASOPT (developing new algorithms for static program analysis). Dr. Monniaux has advised several students who have gone on to successful careers, including Julien Henry (now at Grammatech), Alexis Fouilhé (now in industry), George (Egor) Karpenkov (now at Apple Inc.), and Alexandre Maréchal (post-doctoral researcher at LIP6). He currently advises Hang Yu and Valentin Touzeau. He is actively involved in the programming languages and formal methods research community, serving on program committees for major conferences including POPL, PLDI, and VMCAI.

• Robot Control
• Robotic Manipulation
• Human-Robot Interaction
• +12 more

Yiannis Karayiannidis is an Associate Professor in the Department of Automatic Control at Lund University's Faculty of Engineering (LTH). He is affiliated with major research initiatives including ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and WASP (Wallenberg AI, Autonomous Systems and Software Program). A portion of his research team is based at Chalmers University of Technology, specifically within the Division of Systems and Control (SYSCON). He actively contributes to the robotics and control community through editorial roles and leadership in professional organizations. His research focuses on advanced robotic control systems, particularly in human-centered environments. Key areas include robotic manipulation, dual-arm coordination, force and grasping control, physical human-robot interaction, robot learning, navigation, reactive planning, multi-agent systems, and nonlinear and adaptive control. These interests are reflected in both his teaching and research output. The recent publication trends highlight a strong focus on autonomous navigation in dynamic environments, robust force control, multi-agent coordination, and learning-based manipulation. His work integrates model-based control with data-driven methods, particularly in complex and uncertain settings. Topics such as obstacle avoidance, tunnel-following MPC, friction modeling, and semantic feature estimation demonstrate technical depth and real-world applicability. Prof. Karayiannidis holds significant academic service roles: Associate Editor, IEEE Robotics and Automation Letters Associate Editor, IEEE/ASME Transactions on Mechatronics Associate Editor, International Conference on Robotics and Automation (ICRA) Associate Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Associate Editor, European Control Conference Treasurer, IEEE Robotics Chapter in Sweden He has supervised numerous PhD and master's students and is actively involved in research projects funded by national and strategic initiatives. His editorial and supervisory roles underscore his leadership in the robotics and control community. He also contributes to infrastructure development as a manager of RobotLab LTH. He is involved in several key research labs and teams: RobotLab LTH – a shared robotics research infrastructure where he serves as a manager Division of Systems and Control (SYSCON), Chalmers University of Technology – hosts part of his research team Center for Construction Robotics – collaborative network involving Lund University researchers WASP and ELLIIT research networks – strategic national platforms for AI and robotics

Judita PreissView profile

Lecturer

• Natural Language Processing
• Biomedical Data Analysis
• Mental Health Analytics
• +3 more

Dr. Judita Preiss is a Lecturer in Data Science at the University of Sheffield's School of Information, Journalism and Communication. She holds a MA, MPhil, and PhD in Mathematics, Computer Speech and Language Processing, and Natural Language Processing (NLP) from the University of Cambridge. Her career includes postdoctoral research at Cambridge, a visiting professorship at Ohio State University (2008–2010), and a role as a lecturer in Data Science at the University of Salford (2017–2022). Education: MA Cantab (Mathematics), MPhil (Engineering), PhD (Computer Science) – all from Cambridge. Her research focuses on NLP with applications in biomedical domains, mental health analysis via social media, big data techniques, multilingual models, and knowledge organization. She explores text/speech analysis involving large datasets and industry knowledge transfer. Publications emphasize literature-based discovery, semantic analysis, and tools like HiDE for scientific knowledge extraction. She is certified by Databricks (Apache Spark 3.0 – Python) and AWS (SysOps Administrator, Academy Educator), and serves on ACL's rolling review panel. Teaching: Modules include Big Data (INF6032), Business Intelligence (INF6040), and Practical Programming for Data Science (INF111). Grants & Labs: Active in interdisciplinary projects linking data science to healthcare and social sciences. Current research spans automatic discovery in healthcare, multilingual NLP models, and ethical AI applications in data-driven decision-making.

Giovanni BerselliView profile

Professor

• Robotics
• Mechanical Engineering Design
• Automation
• +3 more

Giovanni Berselli is a Full Professor at the Department of Mechanical, Energy, Management and Transport Engineering (DIME), University of Genoa. He coordinates the PhD program in Mechanical, Energy, and Management Engineering and serves on the Department Board. His teaching focuses on mechanical design, robotics, and technical drawing, including courses such as MACHINE DESIGN and DESIGN OF AUTOMATIC MACHINERY AND ROBOTS. His research emphasizes advanced robotics and mechanical systems, particularly in cable-driven hyper-redundant manipulators, medical robotics, and trauma simulation devices. He has contributed to projects like robotic head prototypes for surgical training and wrist rehabilitation systems. His work bridges mechanical engineering with biomedical applications. Berselli’s publications span 2024–2025, addressing topics from device design to control systems in rehabilitation robotics. He actively engages in academic service roles, including PhD program coordination and departmental governance. His work reflects a commitment to both theoretical and applied engineering solutions.

Brooke-Mai WhelanView profile

Senior Lecturer

• Motor Speech Disorders Rehabilitation
• Brain Mechanisms in Speech Recovery
• Telerehabilitation
• +3 more

Dr Brooke-Mai Whelan is a Senior Lecturer in Speech Pathology at the University of Queensland’s School of Health and Rehabilitation Sciences. Her research focuses on motor speech disorder rehabilitation, brain mechanisms underlying speech recovery, and telerehabilitation applications. She holds a Bachelor (Honours) and PhD from UQ. Her work spans dysarthria treatment protocols, neuroimaging of speech recovery, and core outcome set development for stroke-related speech disorders. She leads projects like the Save Our Speech (SoS) study on ALS biomarkers and has secured grants from institutions like the Motor Neurone Disease Research Institute of Australia. Dr Whelan supervises PhD students in areas such as voice actor vocal demands and concussion impacts in athletes. She collaborates with the Centre for Motor Neuron Disease Research and has published over 50 works on speech pathology and neurological disorders. Her expertise includes clinical trials, rehabilitation technology, and interdisciplinary care models.

Anja GaroneView profile

Researcher

• Blended Learning
• Higher Education Teaching
• Nursing Education
• +3 more

Anja Garone is a Policy Officer and researcher at the Brussels Research Centre on Innovation in Learning and Diversity (Université Libre de Bruxelles). She holds a PhD in Educational Sciences and has been actively involved in academic research since 2017. Her work focuses on blended learning implementation, technology acceptance in education, and multilingual nursing education. Key research interests include professional development for educators, emergency remote teaching during pandemics, and the design of practice-based educational technologies. She has collaborated on major projects like the 'Blend the Future' initiative and contributed to datasets on multilingual nursing education (DOI: 10.17632/h95npcsmpc.1). Anja has organized multiple academic events including the JURE Conference 2019 and participated in high-profile discussions on AI ethics and human-robot collaboration. Her recent work (2022-2025) emphasizes educator training needs, digital competency mapping, and the psychological dynamics of online education adoption. Her research outputs include 9 peer-reviewed articles, 2 PhD theses, and datasets cited over 380 times. Notable contributions address teacher stress during pandemic remote teaching, video-based assessment methodologies, and STEM curriculum design frameworks. Anja advises students in higher education pedagogy and collaborates with institutions globally. Her work bridges educational theory and practical implementation, focusing on scalable solutions for 21st century teaching challenges.

Johannes ReuterView profile

Professor

• Control Engineering
• Autonomous Systems
• Maritime Control
• +3 more

Prof. Johannes Reuter is a Professor in the Department of Control Engineering at Konstanz University of Applied Sciences and a member of the Institute for System Dynamics (ISD). He serves as Vice Dean and Dean of Studies for the Electrical Systems M.Eng. program. His expertise includes control engineering, tracking, and multi-sensor data fusion. Reuter holds a doctorate in Automatic Control and System Dynamics from Berlin Technical University. Before joining Konstanz in 2007, he worked at IAV GmbH, IAV Automotive Engineering (USA), and Eaton Corp.'s Innovation Center (USA). His research focuses on autonomous systems, maritime control, and optimization algorithms, with contributions to conferences like ICRA and journals such as the Journal of Ocean Engineering. He leads projects on energy-efficient autonomous vessels (Solgenia) and advanced control strategies for dynamic systems. Education: Studied Mathematics/Physics at Bielefeld University Electrical Engineering degrees from Bielefeld University of Applied Sciences and Berlin Technical University Doctorate in Automatic Control and System Dynamics, Berlin Technical University Research Interests: Reuter’s work bridges theoretical control engineering with practical applications, emphasizing autonomous systems, maritime robotics, and sensor data fusion. Key areas include model predictive control (MPC), trajectory optimization, and energy-efficient vessel design. His research often integrates advanced algorithms like MPPI (Model Predictive Path Integral) for stochastic systems and develops methods for extended object tracking using LiDAR and radar sensors. Publications: Recent work highlights energy-optimal vessel docking, trajectory planning with signal temporal logic, and extended object tracking. His articles reflect a focus on interdisciplinary solutions combining control theory, robotics, and sensor technology. Awards/Grants: No specific awards listed, but his work is supported through academic and industrial collaborations. Labs/Teams: Active in the Institute for System Dynamics (ISD), Konstanz, which focuses on control systems, signal processing, and dynamic optimization across robotics, marine systems, and energy management.

• Optimal Control
• Automation Systems
• Nonlinear Systems Optimization
• +3 more

Prof. Dr. Zoran Jeličić is a Full Professor at the Department of Automatic Control, Faculty of Technical Sciences, University of Novi Sad. He joined the faculty in 1995 and has held roles including Head of the Department of Automatic Control (2012–present), Deputy Dean (2010–2012), and Head of the Department of Computer Science and Automation (2007–2010). His expertise spans optimal control, nonlinear system optimization, and advanced automation technologies. He earned his MSc (1999) and PhD (2003) from the University of Novi Sad, with research focusing on variational calculus and nonlinear control optimization. As an Alexander von Humboldt Foundation scholar, he conducted research in Berlin (2001 and 2003). He has contributed to over 30 industry projects and led international initiatives like the FP7 "Complex Power Plants Robustification" (2008–2011) and IPA "Center of Excellence for Advanced and Intelligent Control" (2013–present). Teaching includes 7 courses across undergraduate and master’s programs, plus supervision of doctoral studies. He authored 2 textbooks and developed specialized courses in intelligent control, nonlinear systems, and optimization methods.

• Environmental Hydrology
• Soil Moisture Dynamics
• Climate Change Impact Assessment
• +7 more

Stefano Ferraris is a Full Professor at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST), jointly affiliated with the Polytechnic University of Turin and the University of Turin. He serves as Deputy Coordinator of the Doctoral College in Urban and Regional Development and actively teaches in both the Urban and Regional Development and Modeling and Data Science PhD programs across multiple academic cycles. His academic leadership includes guiding doctoral students and contributing to interdisciplinary research in environmental and territorial sciences. His research interests are centered on environmental hydrology, soil moisture dynamics, climate change impacts, and sustainable land use, particularly in alpine and agricultural ecosystems. Key areas include real-time environmental monitoring , data integration for climate systems , and innovative soil management in viticulture . He applies advanced tools such as cosmic-ray neutron sensing, eddy covariance, stable isotopes, and radar-based monitoring to study water-soil-vegetation interactions. The recent publications (2024) highlight a strong trend in field-scale environmental monitoring , climate model validation , and sustainable agriculture , particularly in North-West Italy. His work bridges data science, hydrology, and land management, often in mountainous and peri-urban regions. There is a clear emphasis on practical applications, including irrigation optimization and groundwater vulnerability under climate change. Scientific Projects and Leadership: CIRCE (2014–2015) – Scientific Manager NEXTDATA / NEXTSNOW (2013–2015) – Scientific Director Soil Humidity Estimation Improvement (2022–2025) – Scientific Manager Automatic Slope Monitoring System (2020–2021) – Scientific Manager Climate Change Impact on Groundwater (2016–2019) – Scientific Manager PRIN Project: WATER mixing in the critical ZONe Flood monitoring in Tanaro River and ecosystem function assessment in Vercelli Stefano Ferraris supervises PhD students including Giorgio Capello (on sustainable vineyard soils) and Alessio Gentile (on alpine hydrology using isotopes). He is affiliated with the LABFLUX research laboratory at DIST, which focuses on environmental fluxes and data-driven modeling. His research is supported by regional, national, and commercial grants, reflecting strong institutional and practical relevance.

• Medical Physics
• Nuclear Medicine
• Positron Emission Tomography (PET)
• +12 more

Professor Andy Welch is a Chair in the Institute for Education in Medical and Dental Sciences at the University of Aberdeen, affiliated with the School of Medicine, Medical Sciences and Nutrition. He holds a PhD in Medical Physics from the University of London and a BSc in Physics from the University of Southampton, with prior academic experience at the University of Utah. His research focuses on advanced imaging techniques in nuclear medicine, particularly PET, SPECT, and CT. BSc Physics, University of Southampton (1987) PhD Medical Physics, University of London (1990) Welch's research is centered on tomographic radiotracer imaging, with applications in oncology, cardiology, and neuroscience. He has pioneered methods in image reconstruction and processing, and his work spans from preclinical models to clinical translation. His recent publications highlight innovations in PET radiomics for cancer prognosis, standardization of preclinical imaging, and metabolic studies in neurodegenerative and cardiovascular diseases. His work often involves interdisciplinary collaboration, particularly with chemists and clinicians in developing novel PET tracers. His scientific contributions are supported by extensive funding, including grants from the MRC, EPSRC, and Chief Scientist’s Office. He has served as Principal Investigator on 15 projects totaling £2.6M and as a named investigator on 25 projects totaling £12.2M. His leadership roles include Director of the John Mallard Scottish PET Centre (1997–2012) and Programme Coordinator for MSc Medical Physics and Medical Imaging since 2016. Principal Investigator: 15 awards, £2.6M Named Investigator: 25 awards, £12.2M Director, John Mallard Scottish PET Centre (1997–2012) Programme Coordinator, MSc Medical Physics & Imaging (2016–present) Welch supervises PhD students and teaches across postgraduate medical physics programs, coordinating multiple courses in radiation, nuclear medicine, and imaging. He is actively involved in institutional governance as Postgraduate Research Coordinator and Athena Swan Lead, promoting equity and research excellence. His affiliations include the Institute of Physics and Engineering in Medicine (MIPEM) and the Higher Education Academy (FHEA), and he is a registered Clinical Scientist with the Health and Care Professions Council (HCPC). His work continues to advance the frontiers of biomedical imaging and its clinical applications.

Shreesh MysoreView profile

Associate Professor

• Systems Neuroscience
• Computational Neuroscience
• Cognitive Neuroscience
• +12 more

Shreesh Mysore is an Associate Professor in the Department of Psychological and Brain Sciences at Johns Hopkins University, with secondary appointments in the Department of Neuroscience and the Kavli Neuroscience Discovery Institute. He leads an interdisciplinary research program focused on the neural basis of attention, decision-making, and cognitive function. His educational background includes a PhD in Control and Dynamical Systems from Caltech, an MA in Mathematics from Penn State, an MS in Industrial Engineering from Penn State, and a B.Tech in Mechanical Engineering from IIT Madras. He completed postdoctoral training in Neurobiology at Stanford University. Dr. Mysore's research explores how neural circuits implement competitive selection for attention, using tools such as electrophysiology, calcium imaging, optogenetics, chemogenetics, and computational modeling in freely behaving animals. His lab investigates fundamental principles of neural computation across species and aims to uncover mechanisms relevant to psychiatric disorders like ADHD, autism, and schizophrenia. He also explores bio-inspired artificial intelligence. His recent publications reveal a strong focus on inhibitory circuit motifs in the midbrain and brainstem, particularly how they enable categorical stimulus selection and attentional control. The work spans systems, computational, and behavioral neuroscience, with frequent appearances in high-impact journals such as Nature Communications , eLife , and Cell Reports . A recurring theme is the discovery of canonical circuit principles underlying cognitive functions. NSF CAREER Award NIH R01 (NEI) NIH R21 (NIMH) OneNeuro Discovery Award, JHU Trainee awards: NIH F32, NSF GRFP (honorable mention), Dean’s Dissertation Prize Dr. Mysore has advised numerous PhD and postdoctoral trainees, many of whom have gone on to academic and industry positions. His lab collaborates with PIs in neuroscience, computer science, and engineering. Current research includes theoretical modeling of learning rules, neural dynamics of decision-making, and cross-species comparisons of attentional circuits. The lab emphasizes training in an environment of kindness, curiosity, and integrity. The Mysore Lab is based at Johns Hopkins and includes postdocs, PhD students, research technicians, and undergraduates working on diverse projects ranging from neural circuit dissection to AI algorithm development.

Will StylerView profile

Academic

• Acoustic Phonetics
• Articulatory Phonetics
• Speech Perception
• +14 more

Will Styler is an Associate Teaching Professor in the Department of Linguistics at the University of California San Diego (UCSD), where he also serves as Director of the Computational Social Science (CSS) Program. He specializes in computational approaches to speech, speech technologies, and innovative teaching methods in linguistics, with a strong interest in open scholarship, open tools, and the linguistics of internet culture, including memes. Current Position: Associate Teaching Professor, UCSD Linguistics (2023–Present) Previous Position: Assistant Teaching Professor, UCSD Linguistics (2018–2023) Director, UCSD Computational Social Science Program (2022–Present) Ph.D. in Linguistics, University of Colorado Boulder (2015) His research spans acoustic and articulatory phonetics , natural language processing , and pedagogy , with a focus on speech perception, machine learning applications in phonetics, and trauma-informed, equitable teaching practices. He is a strong advocate for open-access educational resources and open-source software in linguistics. His recent publications reflect a strong trend in computational phonetics , speech processing , and clinical NLP , often combining experimental methods with machine learning. Themes include pause articulation, vowel nasality, coarticulation, and annotation of clinical texts. Scientific Awards: UC San Diego Student Centeredness Award (2024) UC San Diego Legacy Lecture Award (2022) UCSD Linguistics Graduate Student Recognition of Faculty Excellence (2021–22) University of Colorado Graduate Student Teaching Excellence Award (2012–13) Will Styler has advised numerous doctoral and honors students in linguistics, cognitive science, psychology, and computational social science. He has secured grant funding from NSF and UCSD, focusing on speech perception and detection technologies. He leads the CSS program, mentors capstone projects, and develops open educational tools such as Using Praat for Linguistic Research , Using Unix for Linguistic Research , and the EnronSent Corpus . He is actively involved in academic service, including as Site Coordinator for NACLO, Faculty Tech Mentor during the pandemic, and Cyber Champion at UCSD. His lab and team work intersect across phonetics, NLP, and social science, promoting interdisciplinary collaboration through the CSS program.

Papadopoulos EvangelosView profile

Professor

• Mechanical Engineering
• Automatic Control
• Robotics
• +3 more

Papadopoulos Evangelos is a Professor at the Department of Mechanical Structures & Automatic Control within the School of Mechanical Engineering at the National Technical University of Athens (NTUA). He is based in Building E, Office E.313, at the Zografou campus in Athens, Greece, and can be reached via telephone (+30) 210 772-1440 or email egpapado@central.ntua.gr. His academic work is supported by his personal research page hosted at nereus.mech.ntua.gr . His research interests lie primarily in the domains of mechanical engineering and automatic control. Given his departmental affiliation, his work likely focuses on system dynamics, robotics, structural mechanics, and control theory. These areas are central to modern mechanical systems design and intelligent automation. The trend in his expected scholarly output would align with modeling, simulation, and control of complex mechanical systems, though no specific publications are listed in the provided text. There are no scientific awards mentioned in the available information. He is actively involved in teaching and research supervision within the Mechanical Engineering program at NTUA. While no formal advisees are listed, he likely mentors undergraduate and postgraduate students through theses and research projects. There is no mention of external grants or funded research projects. His work appears to be associated with the Nereus research group or laboratory, as indicated by his personal webpage URL (nereus.mech.ntua.gr), which may focus on robotics, embedded systems, or control applications.