Find Academic Supervisors

• 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.

Jan C. FransooView profile

Professor

• Supply Chain Management
• Logistics
• Operations Management
• +9 more

Jan C. Fransoo is Professor of Operations and Logistics Management at the Tilburg School of Economics and Management, Tilburg University. He maintains significant affiliations with MIT's Center for Transportation and Logistics as a Research Affiliate and with Technische Universiteit Eindhoven as a Visiting Professor. His research bridges academic rigor and practical application through extensive collaborations with multinational corporations, technology startups, and intergovernmental organizations including the World Bank and Interamerican Development Bank. His educational background includes: PhD in Production Control and Demand Management in Capacitated Flow Process Industries, Technische Universiteit Eindhoven (1989-1993) Master's Degree in Industrial Engineering and Management Science, Technische Universiteit Eindhoven (1984-1989) Professor Fransoo's research focuses on supply chain and operations management , with pioneering work on "nanostores" - his term for the 50 million mom-and-pop stores serving populations in developing regions. He also conducts significant research in urban logistics, omnichannel retail, and human-AI collaboration in supply chain decision-making. His methodology combines model-based and empirical quantitative approaches with practical field research, often developed in close partnership with industry stakeholders across multiple continents. His recent publications reveal a strong trend toward addressing real-world supply chain challenges in developing economies, particularly focusing on nanostore operations, financial constraints affecting small retailers, and the role of technology in enhancing supply chain resilience. His work consistently bridges theoretical innovation with practical applicability, as evidenced by his leadership in the Dutch national COVID-19 vaccination program deployment. Among his notable recognitions: M&SOM Journal Meritorious Service Award (2016) Salzberg Medallion (2022) University Medal from Eindhoven University of Technology (2017) Paper selected for virtual special issue in Transportation Science (2021) Professor Fransoo has supervised over 30 PhD students throughout his career, with current advisees researching nanostore logistics, human-AI decision making, and public health operations. His research is supported by collaborations with major organizations including ASML, ABInbev, Grupo Bimbo, and the World Bank. Notably, in 2021 he led a volunteer team that significantly accelerated the Dutch national vaccination campaign. He actively contributes to national logistics policy through Dinalog (the Dutch Institute for Advanced Logistics) and serves on the Independent Advisory Committee for the National Mobility Vision 2050. His current research continues to explore the complex dynamics of retail supply chains in developing economies and the transformative potential of digital technologies in global logistics operations.

• 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.

Charlotte Bay HasagerView profile

Professor

• Offshore Wind Energy Meteorology
• Remote Sensing
• Boundary-layer Meteorology
• +4 more

Charlotte Bay Hasager serves as Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in offshore wind energy meteorology with expertise in remote sensing, boundary-layer processes, and environmental load impacts on wind turbines. Her research directly supports UN Sustainable Development Goals through renewable energy innovation and climate action initiatives. Her primary research domains include: Offshore wind resource assessment using satellite and radar technologies Boundary-layer meteorology and surface flux dynamics Leading edge erosion mechanisms from rain-wind interactions AI-driven operational strategies for wind farm durability Synthetic Aperture Radar (SAR) applications for wind field mapping Recent publications (2024-2025) demonstrate converging trends in erosion risk modeling, reinforcement learning for turbine operation, and advanced remote sensing techniques. These works span renewable energy engineering, meteorological science, and artificial intelligence applications, with strong emphasis on practical solutions for offshore wind farm challenges under extreme weather conditions. Professor Hasager actively secures major research funding through projects including: AIRE Horizon Europe project (2023-2026): Atmospheric flow integration for wind farm design Thunderbolt project (2023-2025): Wind power optimization initiatives ESA WAII project (2023-2025): Explainable AI for SAR wind assessment CCA LEE project (2022): Leading Edge Erosion cross-cutting research INOWER project (2022-2023): International offshore wind energy networks She maintains significant scientific leadership through conference organization (6th International Symposium on Leading Edge Erosion, 2025), workshop participation (Sandia Blade Workshop, 2024), and media contributions on wind energy topics including North Sea wind farm impacts and satellite Earth observation.

Mizan RahmanView profile

Assistant Professor

• Artificial Intelligence
• Autonomous Vehicles
• Cyber Security
• +11 more

Mizan Rahman is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama's College of Engineering. He serves as the Director of the Connected and Automated Mobility Laboratory (CAM Lab) at UA, leading research in cutting-edge transportation technologies. His work bridges civil engineering with computer science, focusing on the intersection of physical infrastructure and digital systems. Dr. Rahman's educational background includes: B.S. in Civil Engineering from Bangladesh University of Engineering and Technology (2008) M.S. in Civil Engineering from Clemson University (2013) Ph.D. in Civil Engineering from Clemson University (2018) His research interests span artificial intelligence, machine learning, cybersecurity, and digital twins applied to transportation systems. Dr. Rahman takes an interdisciplinary approach to solving evolving mobility challenges, with particular focus on connected and automated transportation systems for smart cities. His work addresses critical issues in AI-based predictive analytics, cybersecurity and privacy for connected mobility, driver behavior modeling, heterogeneous wireless communication, and transportation cyber-physical systems. Analysis of Dr. Rahman's recent publications reveals a strong emphasis on digital twin technology for traffic management, cybersecurity for autonomous vehicles (particularly GNSS spoofing detection), and connected vehicle applications. His work demonstrates a clear trajectory toward creating safer, more efficient transportation systems through the integration of advanced computing technologies with traditional civil infrastructure. The research spans theoretical development, numerical validation, and real-world experimental implementation. Dr. Rahman has received significant recognition for his work: NSF CAREER Award (2024) IEEE George N. Saridis Best Transactions Paper Award (2020) U.S. Department of Transportation Dwight D. Eisenhower Doctoral Fellowship (2013-2014) U.S. Department of Transportation Dwight D. Eisenhower Master's Fellowship (2012-2013) He has secured multiple federally funded projects from the National Science Foundation (NSF), the U.S. Department of Transportation (USDOT), and the Federal Motor Carrier Safety Administration (FMCSA). His research has practical applications in developing low-cost solutions for self-driving cars to detect GPS hacking and improve overall transportation safety. Dr. Rahman actively collaborates across disciplines, taking advantage of UA's cybersecurity program in the computer science department to advance research in connected and automated transportation systems. As director of the CAM Lab, Dr. Rahman leads a team working at the forefront of transportation innovation, with a vision to build smart transportation systems that enhance quality of life and contribute to economic prosperity. His work is particularly relevant as cities become increasingly connected and automated, moving toward the reality of smart cities.

• Exercise Physiology
• Neuromuscular Fatigue
• Physical Activity in Aging
• +2 more

Eric Lichtenstein is a Lecturer in the Department of Sport, Exercise and Health at the University of Basel , Switzerland. His work focuses on exercise physiology, aging, and neuromuscular function. Email: e.lichtenstein@unibas.ch Research Interests : Dr. Lichtenstein investigates physical activity interventions for chronic disease management (notably diabetes), age-related muscle function, and sports biomechanics. His recent publications address: Global handgrip strength norms across aging populations Agility training for cognitive-neuromuscular improvement in seniors Blood flow restriction resistance training effects Mechanisms of downhill/uphill running impacts Diabetes management through lifestyle interventions Neuromuscular adaptation in youth athletes

Venkata Virajit GarbhapuView profile

Research Fellow

• Optical Communications
• Network Optimization
• Artificial Intelligence in Networking
• +4 more

Venkata Virajit Garbhapu (Viru) is a Research Fellow at the CONNECT Centre, Trinity College Dublin, specializing in optical networks with emphasis on physical layer optimization and cross-layer integration. Education: PhD, Institut Polytechnique de Paris (CIFRE scholar with Huawei) Laura Magistrale, Politecnico Di Milano His research focuses on maximizing network capabilities through physical layer impairment-aware frameworks, demonstrated by 52.8% training time reduction in distributed AI systems using 800G DCI links and superior failure recovery via optical circuit switching. Key contributions include per-channel power allocation algorithms balancing linear/nonlinear impairments and feasible C-band integration of classical/QKD signals through Raman noise-aware wavelength allocation. His work centers on developing sophisticated simulators enabling cross-layer optimization for functionalities like QKD and packet switching. Analysis of his 2019-2025 publications reveals a dominant trend toward AI-driven network automation, with increasing emphasis on digital twins and large language models for lifecycle management, alongside quantum-classical signal coexistence. The research consistently bridges theoretical algorithms with experimental demonstrations, showing progression from transfer learning for failure detection to advanced AI/quantum integration. No scientific awards were mentioned in available sources. His PhD was supported by a CIFRE industrial scholarship with Huawei, and he participated in the European QSNP project. No student advisement details are provided, though his BONSAI research addressed optical network failure management using transfer learning to overcome data scarcity. He operates within the CONNECT Centre ecosystem at Trinity College Dublin while maintaining active collaboration with Huawei Paris Research Center, reflecting strong industry-academia integration in optical communications research.

Aydin NassehiView profile

Professor

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
• +3 more

Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.

• Autonomous Vehicles
• Vehicle Control Systems
• Traffic Safety
• +5 more

Jonas Sjoberg is a Professor of Mechatronics at Chalmers University of Technology and leader of the Mechatronics research group. His work spans over 30 years with 143 publications and leadership in 29 research projects. His current research focuses on autonomous vehicle systems, vehicle dynamics, and traffic safety applications. Dr. Sjoberg's research interests center on mechatronic systems for transportation applications. His work bridges theoretical control systems with practical automotive implementations, particularly in autonomous vehicle technology. His research group investigates vehicle dynamics, path planning, intersection management, and safety systems, with growing emphasis on micromobility applications including autonomous bicycles and pedestrian interaction. Recent work demonstrates strong focus on real-world applications of control theory to improve vehicle safety and performance. His publication record shows consistent output with 15+ papers annually, demonstrating sustained research activity. The work spans fundamental control theory (system identification, nonlinear control) to applied transportation problems (intersection management, road surface estimation, autonomous docking). Recent publications show increasing focus on micromobility applications, particularly autonomous bicycles, and integration of machine learning techniques with traditional control approaches. Dr. Sjoberg leads multiple significant research projects including MicroSIM (2026-2027), Mintox (2025-2026), and MicroITS, with funding from VINNOVA, EU, and industry partners. His projects address critical challenges in autonomous vehicle safety, micromobility integration, and traffic management. As leader of the Mechatronics research group, Dr. Sjoberg oversees research on vehicle control systems, autonomous driving technologies, and safety applications. His laboratory work focuses on practical implementation of theoretical control concepts, with recent emphasis on bicycle dynamics and micromobility safety systems.

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
• +5 more

Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

• Computational Physiology
• Biomechanics
• Cardiac Electromechanics
• +7 more

Joakim Sundnes is a Chief Research Scientist and Research Professor at the Department of Scientific Computing, Simula Research Laboratory. He specializes in computational physiology, cardiac biomechanics, and mathematical modeling of cardiovascular systems. Key Research Areas: Cardiac electromechanics, computational fluid dynamics in cardiology, uncertainty quantification in cardiac models, and mechano-electric feedback mechanisms Recent Trends: Focus on patient-specific modeling, left atrial flow dynamics, right ventricular mechanics in pulmonary hypertension, and personalized treatment simulations Scientific Contributions: Active participant in international conferences and editorial work. Co-author of multiple benchmark studies and educational texts on physiological modeling.

Mehran MasdariView profile

Lecturer

• Experimental Aerodynamics
• Aeroacoustics
• Heat Transfer Optimization
• +9 more

Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.

Mark F. ReederView profile

Professor

• Experimental Fluid Mechanics
• Wind Tunnel Testing
• Mixing Enhancement
• +7 more

Dr. Mark F. Reeder is a Professor and Department Head in the Department of Aeronautics and Astronautics at the Air Force Institute of Technology (AFIT), located at Wright-Patterson Air Force Base, Ohio. He has been a key faculty member since 2002, progressing from Assistant to full Professor in 2014. His academic leadership and research excellence have established him as a leading figure in experimental aerospace engineering. Education: Ph.D. in Mechanical Engineering, The Ohio State University, 1994 M.S. in Mechanical Engineering, The Ohio State University, 1991 B.S. in Mechanical Engineering, West Virginia University, 1989 Dr. Reeder's research focuses on experimental fluid mechanics , particularly in wind tunnel testing , mixing enhancement for combustion , and micro air vehicles (MAVs) . His work integrates advanced diagnostics such as Particle Image Velocimetry (PIV), Filtered Rayleigh Scattering, and FLEET to study complex flows in supersonic and hypersonic regimes. He has made significant contributions to cavity flows, store separation, boundary layer transition, and flow control techniques. His recent publications highlight a strong emphasis on defense-relevant aerospace problems , including cavity aeroacoustics, hydrodynamic ram, and high-speed flow diagnostics. These works span disciplines such as aerodynamics, propulsion, and thermal effects on aircraft structures, demonstrating a multidisciplinary approach to solving real-world engineering challenges. Scientific Awards and Honors: AIAA Associate Fellow Licensed Professional Engineer (Ohio) Member, American Society of Mechanical Engineers (ASME) Elected to the Academy of Distinguished Alumni, WVU Dept. of Mechanical and Aerospace Engineering Holds multiple U.S. patents in fluid systems and aerospace devices Dr. Reeder has advised numerous graduate students, many of whom co-authored his publications, indicating active mentorship in thesis and dissertation research. His work is supported by defense and aerospace grants, particularly through collaborations with the Air Force, NASA, and industrial partners. He leads a research group focused on experimental validation of aerodynamic concepts, flow control, and advanced measurement techniques. His lab is equipped for high-speed flow testing, optical diagnostics, and wind tunnel experimentation, contributing to both academic and military aerospace advancements.

Venkatesh R. BellamkondaView profile

Assistant Professor

• Healthcare Quality
• Emergency Medicine
• Medical Education
• +3 more

Venkatesh R. Bellamkonda, M.D. is an Assistant Professor of Emergency Medicine and Consultant at Mayo Clinic's Department of Emergency Medicine. He also serves as Chair for Education within the department. His primary affiliation is with Mayo Clinic College of Medicine. Education : MD: Northeastern Ohio Universities College of Medicine (2006) BS in Natural Science/Chemistry: University of Akron (2001) Residencies: General Psychiatry (2007), Emergency Medicine (2010) Fellowships: Emergency Ultrasound, Teaching, and Basic Research Skills Research Interests : Healthcare Quality: Applying Lean Six Sigma and process improvement strategies. Medical Education: Innovations in curriculum design and asynchronous learning. Point-of-Care Ultrasound: Standardizing ultrasound techniques to enhance diagnostic accuracy. Healthcare Innovation: Exploring AI, 3D video, and smart technologies to optimize care delivery. Articles Trends : Recent work focuses on: School learning models' impact on emergency psychological health visits. Pain management communication and opioid-prescribing disparities. Disparities in emergency department wait times based on patient demographics. Virtual recruitment strategies for residency programs. Awards : 2022 Above and Beyond Recognition Program 2019 Leadership Award (ACEP Quality Improvement) 2016 Teacher of the Quarter (Mayo Emergency Medicine) 2010 Chief Resident Award Grants/Advising : Active in quality improvement initiatives and residency education programs. Leads multiple committees focused on medical education and patient safety. Labs/Teams : Involved in the Mayo Clinic Quality Academy and ACEP's Quality and Patient Safety Section committees.

Liang YuView profile

Assistant Professor

• Biological and Agricultural Engineering
• Bioenergy
• Waste Valorization
• +12 more

Dr. Liang Yu is an Assistant Professor and Graduate Coordinator in the Department of Biological and Agricultural Engineering at Kentucky State University, within the College of Agriculture, Health, and Natural Resources. He holds dual Ph.D. degrees in Biological Systems Engineering from Washington State University and Chemical Engineering from the Chinese Academy of Sciences, and is a licensed Professional Engineer (PE) in Washington. His research bridges engineering, agriculture, and sustainability, with a focus on biorefinery-based industrial symbiosis and the circular economy . Dr. Yu applies advanced modeling techniques such as computational fluid dynamics (CFD), molecular simulation, techno-economic analysis (TEA), life cycle assessment (LCA), and machine learning to optimize systems for organic waste management, renewable energy production, and sustainable water reuse. His recent publications reveal a strong trend toward integrating anaerobic digestion with hydrothermal pretreatment for enhanced biogas and renewable natural gas (RNG) production from animal manure, food waste, and biosolids. His work also emphasizes nutrient recovery, process control via machine learning, and techno-economic and environmental sustainability assessments of bioenergy systems. Scientific Contributions and Leadership: Principal Investigator (PI), Co-PI, and Key Personnel on USDA and DOE-funded projects Guest Editor for Fermentation and Frontiers in Bioengineering and Biotechnology Published over 70 peer-reviewed articles in high-impact journals including Applied Energy , Bioresource Technology , Chemical Engineering Science , and AIChE Journal Holds five granted patents in bioenergy and waste conversion technologies Dr. Yu actively mentors graduate students as Graduate Coordinator and leads a research program focused on scalable, sustainable solutions for waste-to-energy and resource recovery. His lab integrates experimental work with multi-scale modeling to support technology development and policy decisions in renewable energy and circular systems.