جست‌وجوی استاد و پژوهشگر

Kevin T. Vaughanمشاهده پروفایل

دانشیار

• Cell Biology
• Cancer Biology
• Neurodegenerative Diseases
• +۷ مورد دیگر

Kevin T. Vaughan is an Associate Professor in the Department of Biological Sciences at the University of Notre Dame, with a research focus on the cell biology of cancer and neurodegenerative diseases. He is a member of the Harper Cancer Research Institute and conducts mechanistic studies on mitosis, organelle transport, and cholesterol trafficking. Research Interests: Cell Biology of human diseases Mitosis and cell cycle regulation Neurodegeneration, particularly Niemann-Pick Type C disease Cancer therapeutics and combinatorial drug treatments Cholesterol transport mechanisms Cytoplasmic dynein function in cellular dynamics His research employs mass spectrometry and animal models to investigate novel regulatory pathways in mitosis and to develop new therapies for pancreatic and breast cancer. The lab has discovered a new cholesterol transport pathway disrupted in NPC disease and is exploring potential corrective strategies. Recent Research Trends: Dr. Vaughan's recent publications emphasize the role of cytoplasmic dynein in mitotic processes, kinetochore dynamics, and organelle transport. His work bridges fundamental cell biology with translational applications in cancer and rare genetic disorders. Key themes include motor protein regulation, mitotic spindle assembly, and intracellular trafficking defects in disease. Scientific Affiliations: Member, Harper Cancer Research Institute Faculty, College of Science, University of Notre Dame Advising and Research Support: As a principal investigator, Dr. Vaughan leads a research laboratory focused on cellular mechanisms of disease. He collaborates on interdisciplinary projects related to cancer therapeutics and neurodegeneration. His lab receives institutional support through the University of Notre Dame and the Harper Cancer Research Institute, enabling studies in both basic and applied biomedical research. Laboratory and Team: The Vaughan Laboratory is based in the Galvin Life Science Center and conducts research on mitotic regulation and cholesterol transport. The team utilizes biochemical, cellular, and imaging approaches to study disease mechanisms and test novel therapeutic strategies in model systems.

• Telecommunication Networks
• Distributed Machine Learning
• Edge Computing
• +۵ مورد دیگر

Falko Dressler is a Full Professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin. He holds a Ph.D. and M.Sc. in Computer Science from Friedrich-Alexander University of Erlangen-Nuremberg (1998-2003). His research focuses on next-generation wireless systems , distributed machine learning , edge computing , and applications in Internet of Things (IoT) , cyber-physical systems , and internet of bio-nano-things . Editorial roles: IEEE Trans. on Mobile Computing, Elsevier Computer Communications, IEEE/ACM Trans. on Networking Conference leadership: IEEE INFOCOM, ACM MobiSys, IEEE VNC Textbooks: Self-Organization in Sensor and Actor Networks (Wiley), Vehicular Networking (Cambridge) Recent publications highlight trends in Edge Computing Resilience and 6G Network Architecture , with a strong emphasis on Molecular Communication , Terahertz Band Synchronization , and Federated Learning in vehicular environments. Scientific contributions include multiple IEEE Fellow , ACM Fellow , and VDE ITG Prize 2023 recognitions. Advisory and professional activities include membership in the German National Academy of Science and Engineering (acatech), IEEE COMSOC Conference Council, and ACM SIGMOBILE Executive Committee. His work spans cooperative driving, ultra-low power sensor networks, and security in nano-communication systems.

Lili Qiuمشاهده پروفایل

استاد

• Internet Networking
• Wireless Networking
• Mobile Systems
• +۶ مورد دیگر

Lili Qiu is a Professor in the Department of Computer Science at The University of Texas at Austin, where she has been a faculty member since January 2005. She is an active member of the Wireless Networking and Communications Group (WNCG) and has made significant contributions to the field of networking research. Dr. Qiu previously spent 2001-2004 as a researcher at Microsoft Research in Redmond, WA, before joining UT Austin. Dr. Qiu's research spans Internet and wireless networking with a current focus on wireless network management and content distribution in mobile networks. Her work extends into diverse applications including acoustic imaging, metasurface applications, healthcare sensing technologies, and AI systems. She has pioneered research in areas such as acoustic motion tracking, passive RFID sensing, and wireless network optimization. Her research demonstrates a consistent pattern of innovation that bridges theoretical networking concepts with practical real-world applications, particularly in mobile and wireless systems. Her extensive publication record shows a clear evolution from fundamental networking research to increasingly interdisciplinary work that combines wireless systems with healthcare applications, AI, and novel sensing technologies. Recent publications demonstrate growing integration of machine learning techniques with traditional networking problems, as well as expansion into healthcare applications like Parkinson's disease modeling and non-invasive glucose monitoring. ACM Fellow IEEE Fellow National Academy of Inventors (NAI) Fellow ACM Distinguished Scientist NSF CAREER award Google Faculty Research Award Best paper award at ACM MobiSys'18 Best paper award at IEEE ICNP'17 Dr. Qiu has supervised numerous students, including a PhD dissertation that won the SIGMOBILE best dissertation award in 2020. She has served in significant leadership roles including chair of ACM SIGMOBILE, General co-chair for ACM MobiCom 2025, and various conference chair positions for IEEE ICNP, ACM CoNEXT, and other major networking conferences. Her research has been supported by substantial grants from NSF, Google, and other organizations, enabling her to lead cross-disciplinary research teams. As a member of the Wireless Networking and Communications Group at UT Austin, Dr. Qiu leads research efforts that combine networking expertise with innovations in sensing technologies, metasurfaces, and AI systems. Her lab has produced numerous influential results in mobile networking, wireless sensing, and network management, with applications spanning healthcare, consumer electronics, and communication infrastructure.

Alexandros Kontogiannisمشاهده پروفایل

پژوهشگر ارشد

• Fluid Dynamics
• Applied Mathematics
• Bayesian Inference
• +۱۰ مورد دیگر

Alexandros Kontogiannis is a research fellow at the University of Cambridge, Department of Engineering, specializing in fluid dynamics and applied mathematics. His work combines Bayesian inference, machine learning, and physics-informed algorithms to solve inverse problems in magnetic resonance velocimetry (MRV) and fluid-structure interaction. EPSRC National Fellow in Fluid Dynamics Member of Energy, Fluids and Turbomachinery Division Research Focus: Development of digital twin frameworks that integrate MRV data with Navier-Stokes equations to reconstruct flowfields, infer rheological parameters in non-Newtonian fluids, and estimate hidden quantities like pressure and wall shear stress. Key innovations include: Physics-informed compressed sensing for sparse MRV data Simultaneous boundary shape and flowfield estimation Bayesian turbulence model parameter learning Scientific Awards: ASME Fluids Engineering Division Graduate Student Scholar (2021) Technical Chamber of Greece (TEE) Award (2018) Limmat Foundation Academic Excellence (2017) Mentzelopoulos Scholarship for international studies (2017) Greek State Scholarships Foundation Award (2012) Key Contributions: Algorithms for 3D flow reconstruction with adaptive discretization, viscous signed distance field regularization, and multi-objective aerodynamic shape optimization. His methodologies enable 27x reductions in MRI scanning time while maintaining diagnostic accuracy.

Ricardo Zednikمشاهده پروفایل

استاد

• Piezoelectricity
• Fracture Mechanics
• Microelectronic Mechanical Systems (MEMS)
• +۴ مورد دیگر

Ricardo Zednik is a Professor at the Department of Mechanical Engineering, École de Technologie Supérieure (ÉTS) in Montreal. Holding degrees from Rice University (BA, BS) and Stanford University (MS, PhD), he specializes in piezoelectric materials, fracture mechanics, and microelectronic systems. His research focuses on sensors, innovative materials, and health technologies. Fields of Interest: Piezoelectricity, Fracture Mechanics, MEMS, Smart Materials, Crystallography With over 36 peer-reviewed publications and extensive supervision of graduate research (including 15+ co-directed theses and projects since 2016), Zednik contributes to applied research in materials science and biomedical engineering. He collaborates with LaCIME and PULÉTS laboratories on cutting-edge projects involving ultrasonic transducers, flexible sensors, and high-temperature material characterization. Current courses include Materials Technology (MEC200) and advanced research topics in Functional and Smart Materials (SYS877). His students explore applications like terahertz quality control, piezoelectric earcanal sensors, and Kirigami techniques for wearable electronics.

• Artificial intelligence
• Biomedical signal processing
• Human movement analysis
• +۱۲ مورد دیگر

Marco Ghislieri is an Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy. He is a member of the Interdepartmental Center PolitoBIOMed Lab and teaches in the Biomedical Engineering program, including courses like Neuroengineering and Design of Programmable Biomedical Devices . His research spans Artificial Intelligence, Biomedical Signal Processing, Neuroscience, and Rehabilitation Engineering . PhD in Bioengineering and Medical-Surgical Sciences (2017-2021) at Politecnico di Torino Thesis: Muscle Synergy Assessment during Cyclic and Non-Cyclic Movements His research focuses on muscle synergy analysis in Parkinson’s Disease (PD) patients post- Deep Brain Stimulation (DBS) , AI-driven gait analysis for fall prevention, and wearable sensor applications for stress-cognitive decline monitoring. He leads the S-CoDe and OMNIA-PARK projects, and contributes to PRIN as a team member. Recent publications highlight advancements in machine learning for intraoperative DBS targeting , statistical gait analysis , and neurorehabilitation tools . He serves as Associate Editor for Scientific Reports and Applied Bionics and Biomechanics , and Guest Editor for Frontiers in Neural Circuits . Awards include the Carlo J. De Luca Award (2022) , GNB Doctoral Award (2022) , and the Best Poster Award at M. Grattarola Summer School (2022) . He supervises Fabrizio Sciscenti (PhD candidate) and collaborates on neuroengineering and biomedical device design courses. His work addresses Goal 3 (Good Health) and Goal 4 (Quality Education) of the UN SDGs.

Ernesto Elias Vidal Rosasمشاهده پروفایل

مدرس

• Neuroimaging
• Brain-computer interfaces
• Medical optics imaging
• +۲ مورد دیگر

Dr. Ernesto Elias Vidal Rosas is a Lecturer at the School of Electronics and Computer Science, University of Southampton. Previously, he was a Postdoctoral Researcher at UCL Medical Physics and Biomedical Engineering Department. He specializes in neuroimaging and optical technologies with extensive expertise in near-infrared spectroscopy (NIRS), diffuse optical tomography (DOT), and wearable brain imaging systems. He is currently accepting PhD students. Research Focus: Dr. Vidal-Rosas leads research in neuroimaging methodologies and brain-computer interfaces. His work emphasizes wearable technologies for clinical and home-based monitoring, with applications spanning from neonatal care to motor rehabilitation. Key research domains include: Development of high-density diffuse optical tomography (HD-DOT) systems Integration of EEG and fNIRS for brain-computer interfaces Real-time processing algorithms for neurofeedback applications Non-invasive monitoring of therapeutic responses in oncology He is currently involved in the Horizon Europe PUREMIND project focused on preventing mental illness through multimodal biomarker analysis. Academic Activities: Actively advises PhD candidates in Computer Science and teaches undergraduate courses including Healthcare Technology Design (ELEC2231) and Digital Control System Design (ELEC3206). His pedagogical research includes developing virtual tools for engineering education. Affiliations: Member of the Digital Health and Biomedical Engineering research group and the Institute for Life Sciences at Southampton.

Aaron Youngمشاهده پروفایل

دانشیار

• Human Augmentation
• Wearable Robotics
• Assistive Devices
• +۷ مورد دیگر

Aaron Young is an Associate Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology and a program faculty member in the Biomedical Engineering School. He serves as Director of the Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab, focusing on robotic human augmentation through advanced control systems for prosthetics and exoskeletons. Education: Postdoctoral Fellow, University of Michigan (2014-2016) Ph.D., Northwestern University (2014) M.S., Northwestern University (2011) B.S., Purdue University (2009) Dr. Young's research addresses clinically viable control systems for wearable robotic devices, emphasizing intent recognition , EMG signal processing , and machine learning integration. His work targets mobility impairments from stroke, amputation, cerebral palsy, and neurological injuries, aiming to reduce metabolic costs, restore natural biomechanics, and enhance community ambulation. Key innovations include data-driven control frameworks , biomechanical terrain adaptation , and anthropometry-based personalization . His recent publications highlight advancements in deep learning for real-time biomechanics , EMG-informed joint estimation , and adaptive assistance systems . The EPIC Lab's facilities feature a terrain park with force plates , motion capture systems , and HumoTech simulation platforms for device testing. Scientific Awards: New Faces of Engineering (IEEE USA, 2017) Military Health System Team Award (2015) NSF Graduate Fellowship (2010) NDSEG Fellowship (2010) IEEE EMBC 3rd Place (2013) Projects include NSF-funded hip exoskeletons for stroke survivors, DoD-powered prostheses for amputees, and Pediatric knee exoskeletons for cerebral palsy. The lab cultivates interdisciplinary expertise in robotics , biomedical engineering , and human-machine interaction .

Sean Andersonمشاهده پروفایل

مدرس ارشد

• Bioinspired Robotics
• Adaptive and Optimal Control
• System Identification
• +۳ مورد دیگر

Dr Sean Anderson is a Senior Lecturer at the Department of Automatic Control and Systems Engineering , University of Sheffield , with over 15 years of experience in interdisciplinary research spanning robotics, control systems, and computational biology. He earned his MEng and PhD from the University of Sheffield, focusing on control systems and chemical engineering. Education: MEng in Control Systems Engineering, University of Sheffield (2001) PhD in Chemical and Process Engineering, University of Sheffield (2005) Research Interests include: Bioinspired robotics Adaptive and optimal control in biological systems Nonlinear system identification Computational neuroscience Acoustic and visual sensor fusion for localization His recent publications highlight innovations in robotic localization in hazardous environments, interpretable deep learning for control systems, acoustic sensing technologies, and data-driven modeling of complex systems. Key projects involve autonomous navigation in pipe networks, turbulence modeling, and biomedical signal processing. Grants and Funding: He has secured major grants from EU H2020 (£4M), EU FP7 (£2.9M), and EPSRC (£5.7M), focusing on bioinspired control algorithms, robotic safety, and infrastructure assessment. Teaching: He leads the ACS61011 Deep Learning module, emphasizing practical applications in robotics and signal processing.

Marc Sommerمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Neural Circuits
• +۵ مورد دیگر

Marc Sommer is a Professor of Biomedical Engineering and Psychology & Neuroscience at Duke University. He directs the Duke Institute for Brain Sciences and contributes to the Duke Initiative for Science & Society. His research focuses on neural circuits for cognition , particularly how the brain maintains visual perception and behavior through interactions between frontal cortex and subcortical regions. Key Techniques : Single neuron electrophysiology, optogenetics, psychophysics, computational modeling Translational Goals : Improving transcranial magnetic stimulation (TMS) and viral vector therapies for psychiatric and motor disorders Scientific Awards : Capers and Marion McDonald Award for Excellence in Teaching and Research (2021) Capers and Marion McDonald Award for Excellence in Mentoring and Advising (2017) Bass Fellow, Duke University (2017) Research Fellowship in Neuroscience, Alfred P. Sloan Foundation (2005) Marc Sommer's recent publications span visual stability across saccades , optogenetics in primates , TMS mechanisms , and viral vector applications . His work bridges cognitive neuroscience and biomedical innovation , with significant contributions to corollary discharge theory and neural circuit mapping . Lab Collaborations : Interdisciplinary partnerships across Duke University and external institutions, integrating engineering , neurobiology , and computer science to decode primate brain circuitry.

Md Mobashir Hasan Shandhiمشاهده پروفایل

استادیار

• Digital health technologies
• Wearable sensors
• Machine learning algorithms
• +۱۰ مورد دیگر

Md Mobashir Hasan Shandhi is a tenure-track Assistant Professor at Arizona State University , jointly appointed in the School of Electrical, Computer and Energy Engineering and the Biodesign Institute Center for Bioelectronics and Biosensors . His work focuses on developing equitable digital health technologies—wearable sensors and AI/ML algorithms—for personalized care and remote monitoring of chronic and infectious diseases. Education PhD, Electrical and Computer Engineering, Georgia Institute of Technology, 2020 Postdoc, Biomedical Engineering, Duke University, 2021–2024 MS, Electrical and Computer Engineering, University of Utah, 2016 BSc, Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology, 2011 Research Interests Dr. Shandhi’s lab designs low-cost, reliable wearable sensors and machine-learning models to enable remote monitoring of cardiovascular, respiratory, and infectious disease patients. His goal is to reduce healthcare disparities by translating these technologies into resource-limited settings. Scientific Awards & Grants American Heart Association Career Development Award Mayo Clinic–ASU Alliance Faculty Summer Residency Fellowship AHA Postdoctoral Fellowship Duke Heart Center & Translating Duke Health cardio-oncology grant NIH mHealth Training Institute Scholarship Best Paper, Runner-up Best Paper, First Place Research Awards Distinguished Poster Nominee Advising & Funding Dr. Shandhi is currently recruiting PhD students with backgrounds in electrical/biomedical engineering or computer science. He also welcomes postdocs and MS/undergraduate researchers to join the SHANDHI Lab. Interested candidates should email him directly with a CV and statement of interest. Labs & Teams He directs the SHANDHI Lab at ASU, where interdisciplinary teams of engineers, clinicians, and data scientists collaborate on translating wearable health technologies from bench to bedside.

Jennifer A Benantiمشاهده پروفایل

استاد

• Cell Cycle Regulation
• Cancer Biology
• Phosphorylation
• +۵ مورد دیگر

Jennifer A Benanti is a Professor at UMass Chan Medical School in the Department of Molecular, Cell and Cancer Biology within the T.H. Chan School of Medicine. She holds multiple appointments across the institution including in the Department of Biochemistry and Molecular Biotechnology, Program in Molecular Medicine, Systems Biology, and several graduate programs including Cancer Biology, Interdisciplinary Graduate Program, MD/PhD Program, Millennium MD/PhD Program, Postbaccalaureate Research Education Program, and Systems Computational and Quantitative Biology. B.S. in Biochemistry & Cell Biology from University of California, San Diego (1996) Ph.D. in Molecular & Cellular Biology from University of Washington and Fred Hutchinson Cancer Research Center (2003) Postdoctoral work at University of California, San Francisco (2004-2010) Dr. Benanti's research focuses on understanding how transcription, protein degradation, and phosphorylation integrate to form a robust cell cycle control network. Her lab primarily uses budding yeast as a model system to study how cyclin-dependent kinases (CDKs) phosphorylate proteins to coordinate cellular processes with division, how stress response pathways interface with the cell cycle regulatory network, and how the ubiquitin-proteasome system controls cell growth and division. Her work has significant implications for understanding cancer biology, as misregulation of the cell cycle is a hallmark of all cancer cells. Analysis of Dr. Benanti's 15 most recent publications reveals a consistent focus on cell cycle regulation through multiple mechanisms. Her work spans from molecular-level studies of phosphorylation codes and transcription factor activation to systems-level understanding of how stress responses rewire the cell cycle. A significant portion of her recent work examines calcineurin signaling in stress response and how it interfaces with CDK regulation, demonstrating her lab's integrative approach to understanding cell cycle control. 2011 Smith Family Award for Excellence in Biomedical Research Dr. Benanti has mentored numerous graduate students through the Morningside Graduate School of Biomedical Sciences, including Mackenzie Flynn (2018-2024), Michelle Conti (2017-2023), Claudine Mapa (2013-2018), and Tyler Doughty (2011-2016). Her lab has received support from prestigious fellowships including a Damon Runyon Cancer Research Foundation Fellowship and a Pathway to Independence Award from the NIH during her postdoctoral training, suggesting continued NIH funding for her independent research program. She actively recruits rotation students, postdocs, and undergraduate researchers. The Benanti Lab, located at UMass Chan Medical School, consists of postdoctoral associates, research associates, and graduate students working collaboratively on cell cycle regulation projects. Recent lab members include Sujiraporn Pakchuen (Postdoctoral Associate), Linnea Budge (Research Associate), and Aurelia Reynolds (Research Associate). The lab maintains active collaborations with researchers at UMass Chan and beyond, as evidenced by co-author networks including Zhu, Lee, and Fazzio.

Robert G. Salomonمشاهده پروفایل

استاد

• Biochemistry
• Chemical Biology
• Medicinal Chemistry
• +۶ مورد دیگر

Robert G. Salomon is the Charles Fredrick Mabery Professor of Research in Chemistry at Case Western Reserve University and holds a secondary appointment as Professor of Ophthalmology in the Department of Ophthalmology & Visual Sciences. With a career spanning over four decades at Case Western since 1973, Dr. Salomon leads the Lipid Research Group focused on understanding the role of lipid oxidation in disease processes and developing new diagnostic tools and therapeutic strategies. Dr. Salomon received his B.S. in Chemistry from the University of Chicago in 1966, followed by a Ph.D. in Organic Chemistry from the University of Wisconsin in 1971. He completed postdoctoral studies at both the University of Wisconsin and Indiana University before joining Case Western Reserve University, where he progressed from Assistant Professor to his current named professorship. Dr. Salomon's research bridges chemistry, biology, and medicine with groundbreaking work on lipid oxidation products. His laboratory discovered critically important compounds including levuglandins and isolevuglandins - highly reactive oxidized lipids that contribute to disease through reactions with proteins and DNA. His work has established connections between lipid oxidation and conditions such as age-related macular degeneration, atherosclerosis, and cancer. The research employs a multidisciplinary approach combining organic synthesis, analytical chemistry, immunology, and cell biology to investigate disease mechanisms and develop potential interventions. Analysis of Dr. Salomon's recent publications reveals a continued focus on the biochemical and pathological effects of lipid oxidation products, particularly their role in retinal diseases and cancer. His work demonstrates how compounds like HOHA lactone and carboxyethylpyrroles contribute to disease mechanisms through protein modification, inflammation, and cellular dysfunction, with significant implications for understanding disease progression and developing targeted therapies. Mortar Board 'Top Prof' Award (2003) Cleveland Clinic Innovator Award (2006) Editorial Advisory Board, Chemical Research in Toxicology (2009-) Editorial Advisory Board, Journal of Lipids (2009-) Editorial Advisory Board, Organic Chemistry International (2009-) NIH Synthetic and Biological Chemistry A Study Section (2012-16) Director, Visual Sciences Research Center Tissue Culture & Hybridoma Core (2015-) Associate Editor, Free Radical Research (2019-) Dr. Salomon's Lipid Research Group operates from the Millis Science Center at Case Western Reserve University, working in a laboratory previously occupied by Nobel Laureate George A. Olah. His laboratory features extensive capabilities for HPLC analysis, radiochemical experiments, cell culture (bacterial and mammalian), immunological studies, organic synthesis, and tissue fractionation. Through strong collaborative interactions with biomedical researchers at the CWRU School of Medicine and the Cleveland Clinic Foundation, Dr. Salomon's research extends into sophisticated mass spectroscopic analyses, animal studies, and clinical investigations on human subjects.

• Digital Communications
• Signal Processing
• Networking
• +۳ مورد دیگر

Mahsa Derakhshani is a Senior Lecturer (equivalent to Associate Professor) in Digital Communications at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She leads research in the Signal Processing and Networks Research Group (SPNRG) and serves as an Associate Editor for the IET Signal Processing Journal. Her academic journey includes a PhD from McGill University (2013), followed by postdoctoral roles at the University of Toronto and Imperial College London. Key awards include the Royal Academy of Engineering/The Leverhulme Trust Research Fellowship (2020-21) and NSERC Postdoctoral Fellowships (2015-2017). Research interests focus on digital communications, machine learning for signal processing, wireless networks, and reinforcement learning applications. Recent work addresses challenges in satellite communications, OTFS modulation, and opto-physiological monitoring. She has authored over 70 publications spanning topics like NOMA systems, MIMO optimization, and edge-assisted live streaming. Education: PhD (McGill, 2013), MSc (Sharif University, 2008), BSc (Sharif University, 2006) Affiliations: IEEE Senior Member, IET Member, Fellow of the Higher Education Academy Grants & Funding: Leverhulme Trust, Royal Academy of Engineering, NSERC Labs/Teams: Active in SPNRG and collaborates on projects involving 5G/6G networks, satellite systems, and biomedical signal processing. Current research emphasizes AI-driven solutions for communication networks and wearable health monitoring technologies.

Al-Amin Dhiraniمشاهده پروفایل

دانشیار

• Physical Chemistry
• Nanostructured Materials
• Quantum Nanoengineered Materials (q-NEMS)
• +۴ مورد دیگر

Al-Amin Dhirani is an Associate Professor in the Department of Chemistry at the University of Toronto, located in the Lash Miller Chemical Laboratories. His research focuses on nanoengineered materials, particularly quantum nanoengineered materials (q-NEMS), which exhibit emergent quantum phenomena. Key themes include bottom-up synthesis of nanostructured materials, development of novel fabrication techniques for 2D materials like MoS₂, and applications in green technologies and electrochemical sensing. Research interests emphasize hybrid molecule-nanostructure states (HYMNS) that enhance optical/electrical properties, as well as advanced applications such as conductivity meters and water electrolysis materials. His lab has pioneered methods for defect healing in exfoliated MoS₂ and scalable assembly of nanostructured films. Recent achievements include student milestones like Steven Gravelsins’ PhD completion and Monique’s NSERC postdoc fellowship. Located at 80 St. George Street, the Dhirani Lab collaborates on projects ranging from fundamental quantum transport studies to applied sensor technologies. The group actively publishes in top journals like ACS Nano and Communications Chemistry , with a focus on interdisciplinary material science and physics.