جست‌وجوی استاد و پژوهشگر

Ferdinand Grozemaمشاهده پروفایل

استاد

• Molecular Electronics
• Ultrafast Spectroscopy
• Computational Chemistry
• +۷ مورد دیگر

Prof. Ferdinand Grozema is a Full Professor at Delft University of Technology, Faculty of Applied Sciences, Department of Chemical Engineering. His research focuses on the dynamics of charges and excited states using ultrafast spectroscopy, microwave conductivity techniques, computational chemistry, and materials synthesis. Research Interests: Charge transport in molecular wires, DNA charge transfer, quantum interference effects, singlet exciton fission, and photochemical upconversion. Teaching: Leads courses in Numerical Methods for Chemical Engineers and Computational Materials Science at TU Delft. Group Leadership: Head of the Grozema Group, supervising PhD students like María C. Gélvez-Rueda and Damla Inan. Publication Trends: Recent work emphasizes perovskite materials, molecular electronics, and charge/exciton dynamics. Keywords from 15 most recent articles include Materials Science , Computational Chemistry , and Ultrafast Spectroscopy , with subtopics like 2D Perovskites , Quantum Interference , and Exciton Spin Dynamics .

Emmanuel Cecchetمشاهده پروفایل

پژوهشگر ارشد

• Operating Systems
• Distributed Systems
• Dependable Systems
• +۶ مورد دیگر

Emmanuel Cecchet is a Senior Research Fellow at the University of Massachusetts Amherst's Department of Computer Science. He is affiliated with multiple research groups including the Laboratory for Advanced System Software (LASS), the Commonwealth Center for Forensics & Society, and the Advanced Networked Systems Research Group. His research focuses on distributed systems, dependability, high availability, databases, and benchmarking. Cecchet has held roles as a postdoctoral researcher at Rice University, a Research Scientist at INRIA, and Chief Architect at Continuent. He has received numerous awards, including the Best Paper Award at IWQoS 2013 and the Best PhD Thesis Award from Institut National Polytechnique de Grenoble (2004). His work includes projects like BenchLab, Open Cloud Testbed (OCT), and contributions to middleware systems such as C-JDBC and Sequoia. Education: PhD in Distributed Systems from Institut National Polytechnique de Grenoble (2001). Research Interests: Operating Systems, Distributed Systems, Dependable Systems, Databases, Virtualization, Networking, and Open Source Software. He also contributes to data forensics and leads the Frog Racing foundation as an amateur car racer. Key Projects: BenchLab for realistic benchmarking, CloudLab for cloud infrastructure research, and WiFiMon for mobility analytics using WiFi sensing. He has served on program committees for Eurosys, SRDS, and other conferences.

Jeremy Gummesonمشاهده پروفایل

استادیار مدعو

• Wearable Technology
• Energy Harvesting
• Wireless Communication Systems
• +۷ مورد دیگر

Jeremy Gummeson is an Adjunct Assistant Professor at the University of Massachusetts Amherst, affiliated with the College of Information and Computer Science. He currently works in the Sensors Lab under Deepak Ganesan and the Laboratory for Advanced Systems Software under Prashant Shenoy. His research focuses on energy harvesting for wearables, backscatter communication systems, and distributed wireless sensing technologies. Education: Ph.D. in Computer Systems Engineering from the University of Massachusetts Amherst (2013). Research Interests: Jeremy’s work spans energy-efficient wearable devices, privacy in sensor systems, metamaterial-based mmWave networks, and low-power environmental monitoring. His innovations include intra-body power transfer for health wearables and acoustic-based sensing for vision-impaired environments. Recent projects emphasize sustainable computing and secure authentication mechanisms within smart spaces. Article Trends: His recent publications (2024-2025) highlight advancements in privacy-preserving audio systems, metamaterial networks, and intra-body communication. These reflect a focus on integrating biomedical applications with cutting-edge wireless technologies to enhance both functionality and security. Leading the Way award (Hewlett Packard, 2015) IEEE Outstanding Senior (2006) Betterment of the ECE Department award (2006) Outstanding Teaching Assistant (2006) Advising & Grants: Jeremy has no listed advisees. He has served as a reviewer for ACM MobiSys, ACM UbiComp, ACM CHI, IEEE RFID, and multiple transactions journals. As Web Chair for ACM HotMobile (2016), he contributed to conference organization. His current lab affiliations drive collaborative research in sensor systems and network software. Labs/Teams: Active member of the Sensors Lab and the Laboratory for Advanced Systems Software, working on projects involving energy autonomy, wireless communication, and health monitoring through wearable technologies.

Surya Nurzamanمشاهده پروفایل

مدرس ارشد

• Soft Robotics
• Embodied Intelligence
• Bio-inspired Robotics
• +۳ مورد دیگر

Surya Nurzaman is a Senior Lecturer at Monash University Malaysia, specializing in soft robotics, embodied intelligence, and bio-inspired systems. He holds a PhD from Osaka University (2011) and has held research fellowships at ETH Zürich and the University of Cambridge. His work bridges robotics engineering with biomedical applications, emphasizing interdisciplinary collaboration. He teaches courses such as Dynamics II, Electromechanics, and Engineering Design. Research focuses on soft robotics for industrial and biomedical applications, including soft grippers, exoskeletons, and adaptive control systems. Projects include aerial robotics for oilfield inspection and AI-driven sensor frameworks. Nurzaman has received awards like the ITEX 2021 Gold Medal and the 2024 School of Engineering Excellence Award. He is actively involved in editorial roles for journals like IEEE Robotics & Automation Magazine and Frontiers in Robotics and AI. His contributions span over 50 publications, with recent work addressing tremor prediction, soft sensor modeling, and cross-domain learning. Collaborations include international partners in Japan, Switzerland, and the UK. Nurzaman’s research aligns with UN SDGs, particularly in advancing sustainable industry solutions and health innovations.

Debi Robertsمشاهده پروفایل

مدرس ارشد

• Transport Aerodynamics
• Engine Design
• Engineering History
• +۳ مورد دیگر

Debi Roberts is Senior Lecturer and Interim Head of Department for Digital, Tech, Innovation & Business at Staffordshire University. A Chartered Engineer and Senior Fellow of the Higher Education Academy, she holds degrees in Aeronautical Design Technology and Automotive Engineering from Staffordshire. Her research explores transport aerodynamics, engine systems, and the evolution of automotive technologies, with emerging focus on autonomous and connected vehicles. Roberts coordinates engineering projects across the department and leads modules in aerodynamics and transportation systems. As part of the Boulton Paul Heritage Project team, she received the Queen's Award for Voluntary Service in 2012 for preserving aviation history.

Michael Templetonمشاهده پروفایل

استاد

• Environmental Engineering
• Infectious Diseases
• Public Health Engineering
• +۶ مورد دیگر

Professor Michael Templeton is a leading academic in Public Health Engineering at Imperial College London , affiliated with the Faculty of Engineering and the Department of Civil and Environmental Engineering . He also holds the Royal Academy of Engineering Research Chair in Global Sanitation Technology , working closely with organizations like Oxfam , Water For People , and the International Worm-Based Sanitation Association . His work addresses critical issues in water supply , sanitation , and public health , particularly in regions affected by schistosomiasis and water scarcity . Professor Templeton earned a Bachelor's degree with honours in Engineering Science and a PhD in Civil-Environmental Engineering , both from the University of Toronto . He is a chartered civil engineer , Fellow of the Institution of Civil Engineers , and elected Fellow of the African Academy of Sciences . His professional experience includes advisory roles for the World Health Organization , Ethiopian Federal Ministry of Health , and various research councils. Environmental Engineering : Water treatment Infectious Diseases : Schistosomiasis control Global Health : Sanitation in low-income settings Climate Resilience : Cold region sanitation Waste Valorization : Biochar from faecal sludge Diagnostic Innovation : Biosensors for pathogens His most recent research explores stormwater odorants , UV disinfection , and smartphone-based water quality monitoring . He has also advanced tiger worm toilets and citizen science approaches in data-scarce regions. His work spans 15 countries including Ghana , Sierra Leone , India , and Ethiopia . Scientific awards and honors include: Fellow of the Institution of Civil Engineers Elected Fellow of the African Academy of Sciences Royal Academy of Engineering Research Chair Professor Templeton has no listed students in the provided data but has contributed extensively to sanitation innovation , waterborne disease prevention , and capacity-building in developing nations. He has led field projects and published on vermifiltration systems , biochar production , and disinfection byproducts .

Bing Dongمشاهده پروفایل

استاد

• Building Performance Simulation
• Smart Grid Integration
• Occupant Behavior Modeling
• +۵ مورد دیگر

Prof. Bing Dong is a Professor in the Department of Mechanical and Aerospace Engineering at Syracuse University, affiliated with the Built Environment Science and Technology (BEST) Lab and Syracuse Center of Excellence (SyracuseCoE). His research focuses on integrating smart buildings into urban energy systems through advanced modeling, optimization, and controls. He holds a Ph.D. from Carnegie Mellon University, M.S. from National University of Singapore, and B.E. from Nanjing University of Technology. Education: Ph.D. in Building Performance and Diagnostics, Carnegie Mellon University M.S. in Building Science, National University of Singapore B.E. in Electrical and Mechanical Engineering, Nanjing University of Technology His research interests include occupant behavior modeling, buildings-to-grid integration, urban energy systems, and quantum computing applications in HVAC. Notable projects include NSF CAREER-funded community energy planning and DOE-funded spatial-temporal energy forecasting. He has advised PhD students such as Ji Zhou, Yiting Yang, and Yongjun Jin (2023). Awards: 2023 IBPSA World Fellow, ASHRAE Distinguished Service Award, NSF CAREER Award (2019), and 2023 Best Paper Awards in Building and Environment journals. Teaching focuses on HVAC design and building performance modeling. The BEST Lab develops advanced controls and integrates urban infrastructure with energy systems, supported by sponsors like NSF, DOE, and NYSERDA.

Moulay Larbi Chalalمشاهده پروفایل

مدرس ارشد

• Urban Energy Planning
• Building Information Modeling (BIM)
• Sustainable Design
• +۳ مورد دیگر

Dr. Moulay Larbi Chalal is a Senior Lecturer in Architectural Technology at Nottingham Trent University’s School of Architecture Design and the Built Environment. He holds a PhD in Architecture from NTU (2018) and a Master’s with Distinction in Digital Architectural Design from Salford University. His academic responsibilities include curriculum design, studio instruction, and research supervision in architectural technology modules. Chalal’s research integrates computational design with sustainability, focusing on: Urban energy planning using GIS and BIM Generative algorithms for architectural optimization Eco-feedback systems for behavioral change Smart city infrastructure and autonomous vehicles His publications demonstrate a consistent focus on energy pattern analysis, sustainable urban development, and digital innovation in construction. Recent work explores AI applications in education and energy visualization frameworks. Awards & Recognition: Emerald Award for Best Master’s Dissertation (Salford University, 2013) NTU Vice Chancellor’s Scholarship for PhD research (2014) He advises doctoral candidates (e.g., F. Mekheimar’s work on digital archaeology) and collaborates with industry partners including Nottingham Energy Partnership and SETART Group. Chalal leads projects in NTU’s Creative and Virtual Technologies Research Lab, developing tools for sustainable urban planning.

Franz Wotawaمشاهده پروفایل

استاد

• Model-Based Reasoning
• Qualitative Reasoning
• Theorem Proving
• +۶ مورد دیگر

Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.

Wangzhong Muمشاهده پروفایل

مدرس ارشد

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +۳ مورد دیگر

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

Pekka Peljoمشاهده پروفایل

دانشیار

• Electrochemistry
• Energy Storage
• Flow Batteries
• +۵ مورد دیگر

Pekka Peljo is an Associate Professor at Aalto University's Department of Chemistry and Materials Science, leading the Physical Electrochemistry and Electrochemical Physics (PhysElectrochemPhys) research group since September 2018. His work focuses on charge transfer mechanisms at solid-liquid interfaces and within solid materials, with a strong emphasis on developing advanced batteries for large-scale energy storage. Education: Master's degree in Engineering and Technology from Helsinki University of Technology His research bridges Electrochemistry and Energy Storage , particularly in Redox Flow Batteries and Hydrogen Production via hydrocarbon electrolysis. Current projects include computational modeling of redox potentials, experimental flow battery designs, and scalable synthesis of cellulose nanocrystals for electrochemical applications. Selected trends from his 75+ publications include Electron Transfer at interfaces, Operando Battery Monitoring , and Sustainable Energy solutions. His work aligns with UN Sustainable Development Goals (SDGs) for climate action and affordable clean energy. Scientific contributions are recognized through grants from the Academy of Finland, EU Horizon Europe, and strategic funding for projects like CompBat (2020-2023) and H2fromHE (2024-2028). He has presented at international conferences (e.g., ELCAT, Spain, 2011) and hosted collaborations with institutions like EPFL. As Principal Investigator, Peljo leads projects such as PREDICTOR (2024-2028) for high-throughput screening of battery materials and Bi3BoostFlowBat (2025-2026). His group also investigates Hydrogen Production from natural gas and Vitamin B6-based Electrolytes for aqueous batteries.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

Hwan Choiمشاهده پروفایل

استادیار

• Prosthetic Devices
• Exoskeletal Systems
• Musculoskeletal Analysis
• +۳ مورد دیگر

Dr. Hwan Choi is an Assistant Professor at the University of Central Florida (UCF), affiliated with the College of Engineering. He leads the Rehabilitation Engineering and Assistive Device Lab, focusing on advancing prosthetic and exoskeletal technologies to enhance mobility for individuals with disabilities. His work integrates biomechanical analysis, neural control strategies, and assistive device design to address challenges in rehabilitation engineering. Education: Dr. Choi earned his Ph.D. in Engineering from the University of Washington (2016), a Master of Engineering (2006), and a Bachelor of Engineering (2004) from Korea University. He completed a Postdoctoral Research Fellowship at the University of Michigan in 2018. Research Interests: His studies prioritize prosthetic device optimization, exoskeleton system development, musculoskeletal modeling, and neural control mechanisms. He investigates how biomechanical insights can improve device performance and user adaptation, with applications in transtibial amputee mobility, cerebral palsy gait correction, and aging-related mobility issues. Article Trends: Recent work emphasizes multimodal data integration (e.g., IMU sensors, sEMG), adaptive prosthetic systems, and machine learning for gait analysis. Key themes include improving clinical outcomes through smart technologies and addressing unmet needs in orthotic/prosthetic design. Awards: Gatzert Child Welfare Fellowship (2016), Travel Grant from Gait and Clinical Movement Analysis Society (2016), University of Washington Research Assistant Scholarship (2011–2016), Louis and Katherine Marsh Memorial Fellowship (2012). Advising & Grants: While specific advisees are not listed, Dr. Choi’s lab actively engages in collaborative projects, with funding support from scholarships and institutional grants. His research bridges academic and clinical settings, emphasizing translational outcomes. Labs/Teams: The Rehabilitation Engineering and Assistive Device Lab focuses on developing innovative solutions for mobility impairments, including smart adaptive prosthetic sockets and variable-stiffness orthoses. Current projects explore machine learning-driven gait analysis and self-sanitizing medical devices.

• Human-Computer Interaction (HCI)
• Multimodal Interaction
• Visual Analytics
• +۵ مورد دیگر

Denis Lalanne is a full Professor in the Department of Informatics at the University of Fribourg, leading the 'human-building interaction' group at the Smart Living Lab and directing the Human-IST institute . He specializes in Human-Computer Interaction (HCI), focusing on multimodal interaction, visual analytics, and Human-Building Interaction (HBI). His work bridges computer science with architecture and urban design to improve building occupants' comfort and accessibility. His research spans topics such as assistive technologies for visually impaired individuals, energy-efficient lighting systems, and predictive models for indoor environmental quality. He has led projects like the Human-IST Lab and SWICE (Sustainable Well-being in Energy Transition), emphasizing interdisciplinary collaboration between academia, industry, and public institutions. Key contributions include the development of frameworks for human-centric lighting, wearable sensors for urban comfort analysis, and empathic systems to enhance HCI. His work is published in top venues like ACM Transactions on Accessible Computing , IEEE , and CHI . Education and career highlights include a PhD from EPFL (Swiss Federal Institute of Technology), postdoctoral research at IBM’s USER Group, and prior teaching roles at the University of Avignon. He is a Swiss representative at IFIP TC13 and has organized major conferences like IHM 2016.

Tarunraj Singhمشاهده پروفایل

استاد

• Target tracking
• Human-vehicle control
• Optimal control
• +۷ مورد دیگر

Tarunraj Singh is a Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on control systems, robotics, and dynamics, with emphasis on target tracking, optimal control, and vibration mitigation in complex systems. He holds a PhD from the University of Waterloo (1991) and earlier degrees from Indian educational institutions. His work integrates advanced mathematical techniques like polynomial chaos expansions and differential flatness with practical applications in aerospace, robotics, and biomedical engineering. Education : PhD, Mechanical Engineering, University of Waterloo, 1991 ME, Mechanical Engineering, Indian Institute of Science, 1988 BE, Mechanical Engineering, Bangalore University, 1986 Research Interests : Dr. Singh specializes in developing robust control strategies for nonlinear systems, with notable contributions to: Reference shaping for precision motion control Uncertainty quantification in dynamical systems Vibration suppression in robotic systems Bioengineering applications including blood glucose control for diabetics Space systems and tethered satellite dynamics His lab focuses on bridging theoretical advancements with real-world implementation through experiments involving UAVs, robotic manipulators, and biomedical devices. Research Trends : Recent work emphasizes energy-efficient trajectory planning, probabilistic control under uncertainty, and real-time sensor integration. His publications (2020–2025) consistently address challenges in optimal control with practical applications across robotics, aerospace, and biomedical systems. Lab Activities : Directs the Control, Dynamics and Estimation Laboratory, which develops novel algorithms for motion control, system identification, and safety-critical applications. Current projects include UAV payload stabilization, autonomous vehicle navigation, and smart agricultural robotics.