Find Academic Supervisors

Colin D. RennieView profile

Professor

• River Engineering
• Environmental Hydraulics
• Sediment Transport
• +12 more

Colin D. Rennie is a Professor and Chair in the Department of Civil Engineering at the University of Ottawa, Faculty of Engineering. He holds a Ph.D. and MASc from the University of British Columbia and a B.Sc. from the University of Guelph, and is a licensed Professional Engineer (P.Eng.). He is an active researcher, educator, and leader in river and environmental hydraulics. His research focuses on river morphodynamics, sediment transport, turbulence, and aquatic habitat, utilizing advanced techniques including acoustic Doppler current profilers (ADCPs), laboratory physical models, and 3D numerical modeling. His work addresses critical issues such as river stability, flood dynamics, hydroelectric development, and ecosystem protection. The recent trends in his publications reflect a strong emphasis on high-resolution numerical modeling of local scour, sediment transport using acoustic methods, and the morphodynamic impacts of river confluences and floods. His work integrates field data with computational fluid dynamics (CFD), particularly using OpenFOAM, to understand complex flow-sediment interactions. He is an Associate Editor of the Journal of Hydraulic Engineering (ASCE) and has served on editorial boards of Journal of Geophysical Research – Earth Surface (AGU). He is a member of professional organizations including ASCE, IAHR, CSCE, and AGU, and has held leadership roles such as Secretary of the River Hydraulics Division at IAHR. Professor Rennie currently supervises multiple graduate students, including Yi Man, Xiatong Cai, Qingcheng Yu, and others, supporting research in sediment dynamics and hydraulic modeling. He has secured research funding for projects related to river flooding, ice processes, and habitat restoration. His teaching includes CVG3116 (Hydraulics), CVG4001 (Introduction to Civil Engineering Design), CVG4907 (Design Project), CVG5162 (River Hydraulics), and CVG5160 (Sediment Transport). His research has been conducted globally, with collaborations in New Zealand, Switzerland, Spain, and China, where he has led field campaigns and trained researchers in spatial mapping of water and sediment fluxes. He has applied his expertise to major flood events, including the 2013 Alberta flood and the 2017–2019 Ottawa River floods.

• Planetary Science
• Atmospheric Physics
• Astrobiology
• +7 more

Professor Javier Martin-Torres is a Personal Chair in the School of Geosciences at the University of Aberdeen, where he leads research in planetary science, atmospheric physics, and astrobiology. His work focuses on the study of planetary atmospheres, particularly Mars and the Moon, using remote sensing data, modeling, and space instrumentation. University: University of Aberdeen School: School of Geosciences Rank: Professor Email: javier.martin-torres@abdn.ac.uk His research interests include planetary atmospheres, non-LTE modeling, Mars exploration, lunar subsurface studies, astrobiology, and planetary protection. He has made significant contributions to understanding atmospheric chemistry and energy balance in planetary environments, especially through data from missions such as MIPAS, SABER, Chang’E-4, and Mars Science Laboratory. The most recent publications reflect a strong trend in interdisciplinary planetary science, combining remote sensing, geochemistry, machine learning, and mission design. Key themes include Mars surface and atmospheric processes, lunar subsurface structure, life detection technologies, and the development of cleanroom and sampling systems for space missions. His work bridges observational data with theoretical modeling to advance our understanding of planetary environments. Scientific Awards: Fellow of the Royal Society of Edinburgh Fellow of the Royal Astronomical Society Professor Martin-Torres has been involved in advising and leading research projects related to planetary exploration and instrumentation. He has contributed to major collaborative grants, particularly in the areas of Mars rover missions, lunar science, and planetary protection. His work often involves international consortia and space agencies, indicating significant grant funding and project leadership. He is actively involved in laboratory and team-based research, including the development of planetary instrumentation, cleanroom facilities, and data analysis pipelines for radar and atmospheric sensors. His team works on integrating machine learning with planetary data interpretation and advancing technologies for future space missions.

• Computer Security
• Program Analysis
• Machine Learning
• +4 more

Mu Zhang is an Assistant Professor at the Kahlert School of Computing, University of Utah. His research focuses on computer security, particularly developing tools using program analysis, machine learning, and data mining to address security issues in Web3, cyber-physical systems, and mobile systems. Previously, he was a Postdoc at Cornell University and a Research Staff Member at NEC Labs America. Education and Background: Postdoc, Cornell University Research Staff Member, NEC Labs America Research Interests: His work emphasizes automated detection and mitigation of security vulnerabilities, including smart contract flaws, industrial control system threats, and malware analysis. He explores innovative solutions like ICSTracker for intrusion backtracking and DEEPVMUNPROTECT for VM-protected Android malware recovery. Recent efforts span blockchain formal verification, Wasm runtime testing, and cross-domain threat inference. Recent Contributions: Notable publications include papers on provenance analysis for industrial control systems (DSN'25), storage collision mitigation in smart contracts (USENIX Sec'25), and automated generation of security-centric smart contract descriptions (ISSTA'23, distinguished paper). Funded projects include NSF grants for AI security education and Cisco Research for smart contract semantics recovery. Awards: His team received the ACM SIGSOFT Distinguished Paper Award (2023) and CCS 2022 Best Paper Honorable Mention. Advising and Grants: Supervises PhD/MSc students like Yu, Wanjing, and Taiji. Active in proposal funding (e.g., Idaho National Lab for industrial control systems, Stellar Foundation for smart contract analysis). Served on TPCs for NDSS, CCS, and ISSTA. Labs/Teams: Leads a research group at University of Utah focusing on secure software systems and automated security tool development.

Javier CabreraView profile

Professor

• Biostatistics
• Data Mining
• Clinical Trial Methodology
• +5 more

Javier Cabrera is a Professor in the Department of Statistics at Rutgers University with a joint affiliation at the Cardiovascular Institute. He holds a Ph.D. from Princeton University and is recognized as a Fulbright Scholar. His office is located at Hill Center 471, 110 Frelinghuysen Road, Piscataway, NJ. His research focuses on: Biostatistics and clinical trial methodology Data mining for functional genomics and DNA/protein arrays Statistical computing, machine vision, and high-dimensional data analysis Cardiovascular health applications using statistical modeling Recent publications (2022-2025) demonstrate strong emphasis on: Novel statistical methods for medical/biological data Machine learning applications in diagnostics and genomics Clinical risk modeling and epidemiological studies Big data reduction techniques and computational efficiency He frequently publishes in interdisciplinary collaborations at the intersection of statistics, biomedicine, and computational science. Awards: Fulbright Scholar He collaborates extensively with the Cardiovascular Institute, contributing statistical expertise to research on cardiovascular outcomes, disease risk modeling, and clinical data analysis.

Luca PolloniniView profile

Associate Professor

• Biomedical Optics
• Near-Infrared Spectroscopy (NIRS)
• Brain Imaging
• +5 more

Luca Pollonini, Ph.D. , is an Associate Professor at the University of Houston within the Cullen College of Engineering , Department of Engineering Technology. He leads the Optical Bioimaging Lab , focusing on biomedical optics, cortical hemodynamics, and tissue oxygenation monitoring. His research spans wearable sensors, traumatic brain injury (TBI) studies, and early detection of pressure ulcers via diffuse optical imaging. Education: Ph.D. in Information Engineering, University of Brescia, Italy (2004) M.S. in Electrical Engineering, University of Brescia, Italy (2000) Dr. Pollonini's research integrates near-infrared spectroscopy (fNIRS) for real-time brain imaging and biomedical signal processing to detect physiological changes. His work on portable optical sensors includes applications for heart failure monitoring, astronaut fingertip injuries, and pressure ulcer prevention. Recent publications highlight his contributions to biomedical device design , TBI cortical connectivity , and cardiac rehabilitation technologies . Awards include the 2001 Best Science Thesis (Lombardy Institute), 2004 ARVO Best Poster , and 2014 Wolff Center Innovation Patent for skin-flap blood-flow monitoring. He serves as an Assistant Affiliate Member at the Houston Methodist Research Institute (since 2014) and mentors postdoctoral and graduate fellows in NSF-funded projects involving diffuse optical imaging and wearable sensor development.

Osamah J. SaeediView profile

Associate Professor

• Glaucoma
• Ocular Blood Flow
• Ophthalmic Imaging
• +3 more

Osamah J. Saeedi, MD, MS is an Associate Professor of Ophthalmology at the University of Maryland School of Medicine and Adjunct Associate Professor of Bioengineering at the University of Maryland, College Park. He serves as Director of Clinical Research, Director of the Glaucoma Division, and Vice Chair for Academic Affairs in the Department of Ophthalmology and Visual Sciences. Education: BSE Chemical Engineering, University of Pennsylvania (2002) MD, University of Texas Southwestern (2007) Preliminary Internal Medicine, Baylor College of Medicine (2008) Ophthalmology Residency, University of Texas Southwestern (2011) Glaucoma Fellowship, Wilmer Eye Institute, Johns Hopkins University (2012) MS Epidemiology and Clinical Research, University of Maryland Baltimore (2018) Dr. Saeedi's research centers on glaucoma—a leading cause of blindness affecting 3+ million Americans—with focus on novel imaging biomarkers for early detection. His work investigates ocular blood flow dynamics, advanced ophthalmic imaging techniques, health services research for underserved populations, and genetic factors in glaucoma progression. This research aims to prevent vision loss through improved diagnostics, potentially saving billions in healthcare costs. Analysis of his 13 publications (2007-2016) reveals dominant glaucoma research (8 papers), particularly on imaging biomarkers and blood flow. Recent work (2015-2016) shows expansion into health services research for glaucoma patients and innovative diagnostic approaches, indicating a strategic shift toward translational applications and patient-centered outcomes in ophthalmic care. Awards: NIH Career Development Award (K23) Grants: NIH K23 Award for glaucoma biomarker development American Glaucoma Society research funding Dr. Saeedi leads the Glaucoma Division and Clinical Research program at the University of Maryland, directing multidisciplinary teams in developing imaging protocols and clinical trials to advance glaucoma diagnosis and treatment strategies.

• Electrical Energy and Power Systems
• Power System Optimization
• Renewable Energy Integration
• +4 more

Salih ERMİŞ serves as Assistant Professor and Department Head in the Department of Electrical and Electronics Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture. With 25+ years of continuous service since 2000, he progressed from Instructor to Doctoral Lecturer in 2018 and assumed departmental leadership in 2022. His academic foundation includes a PhD (2019), MSc (2003), and BSc (2000) in Electrical Education from Gazi University, complemented by English proficiency certification (YDS 55, 2015). His educational journey demonstrates deep institutional commitment: PhD: Electrical Education, Gazi University Institute of Science (2004-2019) MSc: Electrical Education (Thesis), Gazi University Institute of Science (2001-2003) BSc: Electrical Education, Gazi University Faculty of Technical Education (1995-2000) ERMİŞ's research centers on electrical energy systems with emphasis on metaheuristic optimization applications. His work bridges theoretical algorithms and practical power grid challenges, particularly in voltage stability, renewable integration, and smart grid technologies. Recent publications reveal a strategic shift toward photovoltaic forecasting and educational technology, including augmented reality tools for circuit analysis. His methodology consistently applies nature-inspired algorithms (Ant Colony, Grey Wolf, Particle Swarm) to solve multi-objective power flow problems while addressing agricultural energy needs and distribution network efficiency. His publication portfolio shows consistent growth in high-impact domains, with 2023-2025 works focusing on distributed generation optimization, PMU placement, and environmental economic dispatch. The research demonstrates strong industry relevance through industrial control circuit analysis and solar radiation-based output estimation. Award recognition includes: Best Paper Award at 2017 IEEE ICRERA for FACTS devices research As an advisor, he has supervised two Master's theses on photovoltaic forecasting and metaheuristic load flow analysis. His grant leadership spans seven projects including mobile AR applications for engineering education (2025-2027), short-circuit fault analysis software (2023-2024), and solar panel efficiency testing (2021-2023). Collaborative work with researchers like Ramazan Bayındır and Mehmet Yeşilbudak over 2016-2023 demonstrates sustained interdisciplinary teamwork. Current initiatives focus on visual programming tools for power system education and hybrid PV/wind optimization.

• Operations Management
• Quality Control
• Process Improvement
• +5 more

Prof. dr. Jeroen de Mast is a faculty member at the University of Amsterdam (UvA) , affiliated with the Faculty of Economics and Business and the Section Business Analytics . His research focuses on Lean Six Sigma , statistical engineering , and diagnostic problem solving , with applications in healthcare operations and industrial processes. He has authored numerous publications on topics such as variation reduction, measurement systems, and quality improvement frameworks. Academic Rank: Professor Contact: j.demast@uva.nl Research Trends (2019–2025): His work spans operational excellence , appointment scheduling optimization , and statistical validation , emphasizing interdisciplinary collaboration between statistics, healthcare, and business analytics. Key methodologies include DMAIC , DAPS diagrams , and adaptive polynomials .

• Glaucoma
• Cataract Surgery
• Micro-Invasive Glaucoma Surgery (MIGS)
• +4 more

Paul Harasymowycz is a Clinical Associate Professor in the Department of Ophthalmology at the Faculty of Medicine, Université de Montréal. His clinical and research focus spans glaucoma, cataract surgery, and micro-invasive glaucoma surgery (MIGS), with expertise in eye imaging and telemedicine applications. He is affiliated with the CIUSSS de l'Est-de-l'Île-de-Montréal (Hôpital Maisonneuve-Rosemont) and serves as Medical Director of the Fondation de Glaucome du Québec. Education: Loyola High School (1983-1988), Marianopolis College (Health Sciences, 1990), McGill University (MDCM, 1995), Residency in Ophthalmology at Université de Montréal (1996-2000), Fellowship in Glaucoma at Wills Eye Hospital (2000-2001), MSc in Clinical Research (2001-2006). His research explores innovative surgical techniques and telemedicine for glaucoma screening, particularly in high-risk populations. He has co-authored key studies comparing MIGS devices (e.g., Hydrus vs. iStent) and analyzed long-term outcomes of trabecular microbypass stents. He has received multiple professional certifications and is a member of the ASCRS Glaucoma Clinical Committee. Scientific contributions include peer-reviewed articles on MIGS efficacy, imaging technologies, and telemedicine. He has mentored students such as Roman Meda (MSc, 2015) and Alvine Kamdeu Fansi (PhD, 2010), and is involved in international collaborations, including Haiti glaucoma screening initiatives and a Canada-Brazil research mission.

• Hydrogeology
• Karst Systems
• Geotechnical Engineering
• +3 more

Alain Denis is a faculty researcher affiliated with the University of Bordeaux, specifically within the Géotechnique, Civil Engineering (GCE) team of the Institut de Mécanique et d'Ingénierie (I2M). His work spans hydrogeology, geotechnical engineering, and thermal modeling , with a focus on karst systems, groundwater flow, and environmental impact assessment. His research includes: Karst hydrodynamics and climate change impacts Phase change material applications in thermal regulation Seismic monitoring of root system failures Geostatistical modeling of geotechnical data Cave air monitoring systems Groundwater quality and pollution tracing Recent publications highlight his expertise in karst aquifer characterization, air cargo temperature dynamics, and geotechnical risk assessment . Notable outputs include datasets on mango supply chain conditions (2023-2025), cave air monitoring frameworks (2025), and thermal modeling techniques (2024). His work frequently intersects with the Grand Paris Express project for geotechnical applications. As a researcher at I2M, Denis contributes to both fundamental and applied studies in environmental and geotechnical systems, though no specific awards or student advisement details are mentioned in the available data.

Anja DrewsView profile

Professor

• Process Engineering
• Membrane Processes
• Bioprocess Engineering
• +6 more

Prof. Dr.-Ing. habil. Anja Drews is a Professor for Process Engineering in Life Science Engineering at HTW Berlin - University of Applied Sciences. She specializes in membrane processes , bioprocess engineering , and interfacial catalysis within liquid multiphase systems. Education: Dipl.-Ing. (1997), Dr.-Ing. (2004) in Process Engineering from TU Berlin Academic Career: Research Assistant at TU Berlin (2004-2008), Departmental Lecturer at University of Oxford (2009), Habilitation in Process Engineering (2010) Her research focuses on: Multiphase Reaction Engineering - Pickering emulsions Mechanistic Modeling - Filtration kinetics Membrane Bioreactors - Fouling mitigation Fluid Dynamics - Bubble-induced shear stress Biocatalytic Process Design - Enzymatic membrane reactors Carbon Capture - Direct air capture technologies Recent publications highlight trends in: Interfacial enzyme catalysis within Pickering emulsions Quantitative analysis of multiphase systems Membrane fouling mechanisms in bioreactors Process intensification through colloidal stabilization Temperature effects on nanofiltration performance Integration of reaction and separation processes

• Acute Lymphoblastic Leukemia
• Pediatric Brain Tumors
• Genetic Heterogeneity
• +5 more

Stephen E. Sallan, MD , is a Professor of Pediatrics at Harvard Medical School and a Physician at Dana-Farber Cancer Institute and Children's Hospital . His career spans over five decades in pediatric hematology/oncology , with a focus on acute lymphoblastic leukemia (ALL) and pediatric brain tumors . Education : MD, Wayne State University School of Medicine (1967) Residencies : Boston Floating Hospital (1968), Children's Hospital of Philadelphia (1969), Hospital for Sick Children, London (1970) Fellowship : Pediatric Oncology, Children's Hospital/DFCI (1972) Leadership Roles : Chief of Staff (1995), Chairman of Medical Staff Executive Committee (1995), Chief of Staff Emeritus (2012) Dr. Sallan's research integrates genetic heterogeneity , disease recurrence , and drug resistance in ALL, with efforts to develop targeted therapies like tumor vaccines and antiangiogenesis agents. His work addresses long-term treatment toxicities (cardiac, skeletal, neurocognitive), particularly in survivors of childhood cancers. His 15 most recent publications (2024–2018) demonstrate ongoing engagement with pharmacogenomics, thrombosis risk models, dietary interventions, and molecular markers in brain tumors. Key subfields include TRK-C in medulloblastoma , asparaginase complications , and DFCI ALL Consortium Protocols . Scientific Awards : Distinguished Alumni Award, Wayne State University School of Medicine (1997) James Carreras Prize for International Pediatrician of the Year (1987) As a leader in pediatric leukemia research , Dr. Sallan has shaped treatment protocols that minimize late effects while improving survival. He collaborates with multidisciplinary teams in neuro-oncology and pharmacogenomics, maintaining active roles in clinical trials and laboratory investigations.

Musard BalliuView profile

Associate Professor

• Computer Security
• Programming Languages
• Formal Methods
• +9 more

Musard Balliu is an Associate Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He works in the Division of Theoretical Computer Science and leads the LangSec (Language-Based Security) research group. His research interests span multiple aspects of computer security, including: Information flow control Web and mobile application security IoT security Low-level security Program analysis and verification Logics in security contexts His recent publications focus on cutting-edge security challenges, with particular emphasis on JavaScript security (prototype pollution vulnerabilities), IoT platform security, database security, and formal methods for security verification. His work often bridges theoretical foundations with practical security solutions, addressing real-world security concerns in emerging technologies like IoT and modern web applications. His notable awards include: Best Reviewer Award at CCS 2022 Google Research Scholar Award in 2022 Facebook Award in Privacy-Enhancing Technologies in 2021 Dr. Balliu actively mentors students in the LangSec group, supervising both current students and recently graduated PhD candidates. He serves as Principal or Co-Principal Investigator on multiple research projects funded by prestigious organizations including Digital Futures, WASP, VR, and SSF, with a focus on next-generation security solutions for IoT, software supply chains, and cloud computing. He is also involved in various cybersecurity initiatives including the Swedish National Hacking Team (as co-founder and SC representative for Sweden), CDIS Cybercampus Sverige, and Digital Futures, demonstrating his commitment to advancing cybersecurity education and practice beyond academic research.

• Power Systems
• Renewable Energy Integration
• Inverter-Based Resources
• +4 more

Henrik Johansson is a doctoral student at the Division of Electromagnetic Engineering and Fusion Science (EMF), School of Electrical Engineering and Computer Science (EECS), Royal Institute of Technology (KTH). He focuses on interactions between power system protection algorithms and control strategies of inverter-based resources in grids with high power electronics penetration. B.Sc. and M.Sc. in Electrical Engineering and Electric Power Engineering from KTH (2020, 2022) Development engineer at Scibreak (HVDC auxiliary power supplies) Teaching assistant in mathematics courses at KTH His research intersects power systems, renewable energy integration, and grid protection algorithms. Recent publications analyze impacts of grid-forming inverters on distance protection schemes and adaptive fault detection methods. Articles highlight trends in power electronics integration and protection system design for modern grids. Scientific recognition includes the Teaching Assistant of the Year award from KTH electrical engineering students. He collaborates with Professor Nathaniel Taylor and Professor Xiongfei Wang on advancing protection strategies for grids with high renewable energy penetration.

• Industrial Automation
• Robotics
• Control Systems
• +7 more

Julio Garrido Campos is a full-time researcher at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Systems and Automation Engineering . He is a member of the research group EN.EDI Efficient and Digital Engineering , focusing on advanced robotics, industrial automation, and digital manufacturing standards. Education: Doctor from the University of Vigo (1999) with a thesis on technical information exchange in concurrent engineering environments, supervised by Dr. Ricardo Marín Martín. His research spans mechatronics , cable-driven parallel robots (CDPR) , motion control systems , and STEP-NC standards for manufacturing. Recent work includes marine robotics applications for underwater load handling, 3D printing for maritime plastic circular economy initiatives, and digital twin development for industrial automation. Publications highlight trends in robotics for rehabilitation , custom non-conventional robotics , and energy-efficient manufacturing . He has contributed to frameworks for integrating simulation, control, and management tools in industrial digital twins. No specific scientific awards are mentioned in the provided text. Labs & Teams: Garrido Campos works within the Laboratorio de manutención e informática industrial Ricardo Marín , a group dedicated to industrial automation and mechatronics research for 25+ years.