Surface Functionalization Professors and Supervisors | ApplySharif

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Xinliang FengView profile

Professor

Graz University of TechnologyAustria

Xinliang Feng is a W3 Chair Professor at Dresden University of Technology, where he heads the Chair of Molecular Functional Materials. He also holds an Adjunct Chair Professorship at Shanghai Jiao Tong University, China. Previously, he served as a Distinguished Group Leader at the Max Planck Institute for Polymer Research in Mainz, Germany (2012-2014), and as a Group Leader at the same institute (2007-2012). His educational background includes a Bachelor's degree in Analytic Chemistry (2001), a Master's degree in Organic Chemistry (2004), and a PhD from the Max Planck Institute for Polymer Research (2008). Feng's research focuses on the frontier areas of nanomaterials science, particularly on 2D nanomaterials and low-dimensional nanostructures for energy applications. His work spans from fundamental organic synthesis to applied energy technologies. Key research areas include: Bottom-up synthesis of carbon nanostructures and graphene nanoribbons 2D polymers and supramolecular polymers with tailored properties Mesoporous covalent-bonding organic frameworks for energy storage Organic synthetic methodology in aromatic coupling reactions 2D carbon-rich conjugated polymers for electronic and optoelectronic applications His extensive publication record includes over 436 journal papers with significant impact, featuring publications in top-tier journals including Nature (3 papers), Science (1 paper), Nature Materials (2 papers), and numerous papers in Advanced Materials, Angewandte Chemie, and Journal of the American Chemical Society. His work has garnered over 34,797 citations in Web of Science (H-index ≥88) and over 44,959 citations in Google Scholar (H-index ≥101). Feng has received numerous prestigious awards recognizing his contributions to materials science and chemistry: Member of the German National Academy of Sciences (Leopoldina, 2024) Member of the Academia Europaea (2019) Fellow of the European Academy of Sciences (2019) EU-40 Materials Prize (2018) ERC Consolidator Grant Award (2018) Multiple years as a Highly Cited Researcher (2014-2018) ERC Starting Grant Award (2012) IUPAC Prize for Young Chemists (2009) He serves on the international/editorial advisory boards of 12 international journals and has organized or co-organized 30 symposia, workshops, and conferences. As the Head of the ESF Young Research Group "Graphene Center Dresden" and Working Package Leader for the EU GRAPHENE FLAGSHIP project, he plays a significant role in European materials research initiatives.

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Elio GiamelloView profile

Professor

Graz University of TechnologyAustria

Elio Giamello is a Full Professor of Inorganic Chemistry at the University of Turin, Italy, where he has been a faculty member since 1986, first as Associate Professor (1986-1999) and then as Full Professor (1999-present). He has held significant administrative roles including Head of the Department of Chemistry (2005-2008), Head of the PhD School in Science and High Technology (2006-2012), and Member of the Board of Governors of the University of Turin (2013-present). Professor Giamello's research focuses on solid state and surface chemistry, particularly metal oxide-based materials. His work centers on the application of Electron Paramagnetic Resonance (EPR) spectroscopy to investigate paramagnetic and radical centers in bulk and surface materials. Since around 2000, he has expanded his research to include visible light-activated photocatalytic systems, developing novel doped oxide materials like zirconium dioxide for environmental applications. His extensive publication record includes 238 ISI-classified journal papers (as of March 2016) with 8,873 citations and an h-index of 49. His research spans fundamental surface chemistry to applied photocatalysis, with particular expertise in EPR characterization of defects and reactive intermediates in oxide materials. Professor Giamello has received significant recognition including membership in the prestigious Accademia delle Scienze di Torino (2013), the European Academy of Sciences (2012), and a Humboldt Research Award (2007): Nominated member of the ACCADEMIA DELLE SCIENZE DI TORINO (2013) Member of the European Academy of Sciences (2012), Discipline: Materials Science Winner of a Humboldt Research Award (2007) for work in Physical Chemistry of Surfaces He has supervised numerous undergraduate and PhD students throughout his career and maintains active collaborations with research groups across Italy, Europe, the United States, and Japan. Professor Giamello has also been active in teaching both at his home institution and as an Invited Professor abroad, including at Advanced Schools throughout Italy and internationally. Currently, he leads a research team at the University of Turin investigating paramagnetic centers in oxide materials and developing new photocatalytic systems activated by visible light.

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M. Ishaque KhanView profile

Professor

Illinois Institute of TechnologyUnited States

M. Ishaque Khan is a Professor of Chemistry and Director of the Materials Chemistry Program at Illinois Institute of Technology's Lewis College of Science and Letters. His work bridges materials design, catalysis, and sustainable chemistry. Ph.D., Indian Institute of Technology, Kanpur M.S., Aligarh Muslim University His research focuses on creating functional materials like polyoxometalates (POMs), metal-organic frameworks (MOFs), and nanocomposites for catalysis, sensing, gas separation, energy storage, and biomedical applications. He emphasizes sustainable synthesis and atomic-level control of material architecture. Recent publications highlight advances in POM@MOF hybrids, organo-functionalized clusters, and NOx sensor development. Collaborations span Argonne National Laboratory, Northwestern University, and industry partners. Scientific Awards German Academic Exchange Fellowship Commonwealth Academic Staff Fellowship Editorial Board Member, Professional Journals As an educator, he designed interdisciplinary science-business programs and courses at Illinois Tech. His leadership roles include Department Chair and Associate Dean.

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David CookeView profile

Researcher

University of HuddersfieldUnited Kingdom

Dr David Cooke is a Subject Area Leader in Chemistry & Chemical Engineering at the Department of Physical and Life Sciences, School of Applied Sciences, University of Huddersfield. He is a member of the Structural, Molecular and Dynamic Modelling Centre and Associate Member of multiple research centers including the Centre for Functional Materials and Catalysis Research Centre. Background: PhD in Computational Solid State Chemistry (Prof SC Parker, University of Bath) Postdoctoral Research: University of Bath and Materials Science department at the University of Cambridge Research Interests: Computational Solid State Chemistry, mineral surface modeling, biomineralization processes, crystal growth, and surface defect analysis. His work aligns with UN Sustainable Development Goals for environmental and health applications. Publications: 15 recent works focus on cerium oxide interfaces, plutonium hydration, oxide-polymer composites, and defect dynamics using Density Functional Theory and Molecular Dynamics. Key collaborations include M. Molinari, L. Gillie, and S. Parker. Scientific Activities: Active in research output since 2001 (50+ publications) 5 supervised works 35+ research activities including oral presentations

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Aaron MaxwellView profile

Associate Professor

West Virginia UniversityUnited States

Aaron Maxwell is an Associate Professor in the Department of Geology and Geography at West Virginia University (WVU). He serves as the principal investigator of West Virginia View, a member of AmericaView, and director of the WV GIS Technical Center. His research focuses on spatial predictive modeling, geohazard mapping, machine/deep learning applications in remote sensing, and thematic map accuracy assessment. He holds degrees from Alderson Broaddus University (B.S. in Biology, Chemistry, Environmental Science) and WVU (M.S. and Ph.D. in Geology), with a GIS Professional (GISP) certification. Education: Bachelor of Science in Biology, Chemistry, and Environmental Science – Alderson Broaddus University Master of Science in Geology – West Virginia University Doctor of Philosophy in Geology – West Virginia University Research Interests: Dr. Maxwell’s work emphasizes computational methods to extract insights from geospatial data. Key areas include: Deep learning for geomorphic feature extraction (e.g., LIDAR-based semantic segmentation) Machine learning applications in forest fuel load estimation and slope failure modeling Best practices for assessing deep learning outputs in remote sensing Synthetic data generation for predictive modeling Community flood resiliency and participatory GIS Publications: His recent work highlights advancements in geospatial deep learning (e.g., the geodl R package), accuracy assessment metrics for imbalanced datasets, and modeling post-mining landscape evolution. Articles often blend theoretical frameworks with applied case studies across environmental and geotechnical domains. Grants & Funding: Supported by NSF (CAREER Award) and AmericaView, his work trains students and develops open-source geospatial tools. Current projects include synthetic forest stand modeling and flood resiliency initiatives. Labs & Teams: Leads WV View, fostering remote sensing education and data sharing. Collaborates on geospatial workforce development and open-source software initiatives (e.g., GIScience courses, ArcGIS Pro labs).

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Alexander D MaloneyView profile

Professor

Syracuse UniversityUnited States

Alexander D Maloney serves as the Kathy and Stan Walters Endowed Professor of Quantum Science and Director of the Institute for Quantum and Information Science at Syracuse University's College of Arts and Sciences, Department of Physics. His leadership bridges theoretical physics and quantum information science through institutional and research initiatives. His academic foundation includes a Ph.D. in Physics from Harvard University (2003) with dissertation "Time-Dependent Backgrounds of String Theory," complemented by dual B.Sc. and M.Sc. degrees in Physics and Mathematics from Stanford University (1998). Maloney's research centers on quantum gravity and information theory, exploring black hole physics through string theory frameworks. His work connects quantum field theory, cosmology, and information paradox resolution, with particular focus on wormhole geometries, resurgence phenomena, and holographic dualities. This interdisciplinary approach examines how quantum information principles shape spacetime structure. Recent publications reveal evolving emphasis on Narain ensemble statistics, modular invariance applications, and quantum cosmology in reduced dimensions. His 2020-2025 output demonstrates methodological progression from semiclassical gravity to non-perturbative quantum gravity techniques, increasingly integrating machine learning concepts with theoretical frameworks. His scientific recognition includes: James McGill Professor at McGill University (2023) Sir William Macdonald Chair in Physics at McGill University (2020) Maloney secures major research funding including NSERC Discovery Grants (2015-2020, 2020-2025) and Simons Foundation's "It from Qubit" collaboration (2015-2022). He actively shapes academic discourse through search committee leadership, journal reviewing (Journal of High Energy Physics since 2007), and international conference organization at Aspen Center for Physics and Institute for Advanced Study. As Director of Syracuse's Institute for Quantum and Information Science, he cultivates collaborative research environments exploring quantum gravity applications to quantum computing and cosmological modeling.

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Bhavin J. ShastriView profile

Assistant Professor

Queen's University at KingstonCanada

Bhavin J. Shastri is an Assistant Professor in the Department of Physics, Engineering Physics and Astronomy at Queen's University in Canada. His research explores the physics of light for computing , pushing frontiers in information and signal processing through photonic computing and quantum/neuromorphic photonics . He is affiliated with the Centre for Nanophotonics and NUCLEUS , a pan-Canadian photonic computing program funded by NSERC CREATE, bridging artificial intelligence and quantum information . Canada Research Chair & Principal Investigator Faculty Affiliate at Vector Institute (2020-) Editorial Board Member of JPhys Photonics (2019-) Member of IEEE Photonics Society Technical Affairs Council (2019-) Visiting Researcher Scholar at Princeton University (2018-) Shastri Lab members have access to world-class shared facilities, including the Centre for Nanophotonics (CFI-Innovation Fund), Nanofabrication Kingston , the Centre for Advanced Computing , and the Digital Research Alliance of Canada . The lab takes an interdisciplinary approach combining nanophotonics with complex systems on emerging substrates. His research focuses on silicon photonics , nanophonic processors , and photonic integrated circuits with applications to deep learning , nonlinear programming , and quantum information science . His articles show consistent exploration of quantum photonic neural networks , photonic memory systems , and optical signal processing for machine learning and quantum technologies . 2020 IUPAP Young Scientist Prize in Optics 2014 Banting Postdoctoral Fellowship 2012 D. W. Ambridge Prize 2011 IEEE Photonics Society Graduate Student Fellowship 2011 NSERC Postdoctoral Fellowship Multiple Best Student Paper Awards Shastri's lab supervises Ph.D. candidates and postdoctoral fellows working on quantum photonics , neuromorphic computing , and photonic AI systems . His recent work includes photonic tensor cores for scientific computing , quantum photonic neural networks , and all-optical memory systems. Shastri Lab designs programmable nanophotonic processors with potential to outperform microelectronic processors in energy efficiency and computational speeds by seven and four orders of magnitude respectively. Their work spans from device design to system-level implementations in optical computing for machine learning and quantum information processing .

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Weihua ZhuangView profile

Professor

University of WaterlooCanada

Dr. Weihua Zhuang is a University Professor and University Research Chair in the Department of Electrical and Computer Engineering at the University of Waterloo. She holds prestigious fellowships from IEEE, Royal Society of Canada, and other organizations. Her research focuses on future communication networks, including 6G, network virtualization, autonomous vehicles, and smart grids. She has led groundbreaking work on MAC protocols like VeMAC for vehicular networks and has contributed extensively to AI-driven network management. Education : Doctorate in Electrical Engineering, University of New Brunswick, Canada (1993) M.Sc. and B.Sc. in Electrical Engineering, Dalian Maritime University, China Research Interests : Dr. Zhuang's work spans wireless networking, IoT, autonomous systems, and smart infrastructure. She explores solutions for network architecture evolution, machine learning applications in communication systems, and service customization for dynamic environments. Her recent projects include digital twin-driven networks, cross-modal transmission strategies, and AI-native slicing for 6G. Awards : Women's Distinguished Career Award (IEEE VTS, 2021) R.A. Fessenden Award (IEEE Canada, 2021) Fellowships from IEEE, RSC, CAE, EIC Grants & Professional Activities : She led the Tier I Canada Research Chair in Wireless Communication Networks (2010–2024) and has held roles such as IEEE VTS President (2023–2024). Her grants include the NSERC Discovery Accelerator Supplements and PREA awards. She edits journals like IEEE Transactions on Vehicular Technology and co-chairs major conferences. Labs & Teams : Her research group focuses on network architecture, AI-driven protocols, and vehicular communication. Collaborations include projects on 6G, satellite-terrestrial integration, and edge computing for autonomous systems.

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Shahrzad EsmaeiliView profile

Professor

University of WaterlooCanada

Shahrzad Esmaeili is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. She holds a PhD in Materials Engineering from the University of British Columbia (2002), and master’s and bachelor’s degrees in Materials Science and Engineering from Shiraz University (1988, 1980). Her research focuses on processing-structure-property relationships in light alloys, metallic biomaterials, and additive manufacturing. She has expertise in phase transformations, surface modifications, and multi-length scale characterization. Notably, she received an Early Researcher Award from the Ontario Ministry of Research and Innovation. Her work bridges experimental and computational methods to study microstructural phenomena in aluminum and magnesium alloys. Recent publications emphasize non-isothermal annealing, precipitation hardening, and bio-structure fabrication. Education: PhD, Materials Engineering, University of British Columbia (2002) MSc, Materials Science and Engineering, Shiraz University (1988) BSc, Materials Science and Engineering, Shiraz University (1980) Research Interests: Her work integrates experimental and modeling approaches to study nanostructured materials, including metallic biomaterials and light alloys. Key areas include: Precipitation hardening mechanisms in Al-Mg-Si and Mg-Zn alloys Surface functionalization via laser-assisted deposition Additive manufacturing of porous titanium bio-structures Thermal-mechanical processing of aluminum composites Publications: Over 100 peer-reviewed articles span microstructural analysis, alloy behavior under thermal treatments, and biomedical applications. Recent trends focus on non-isothermal processing effects, microalloying strategies, and advanced surface modification techniques. Awards: Early Researcher Award (Ontario Ministry of Research and Innovation) Grants & Collaboration: Her research involves interdisciplinary collaborations, though specific grants are not detailed here. She leads studies on novel processing routes for high-performance alloys and biomaterials. Labs/Teams: Active in materials characterization and computational modeling groups at the University of Waterloo, focusing on multi-scale material analysis.

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Christine KeatingView profile

Professor

Pennsylvania State UniversityUnited States

Christine Keating is the Shapiro Professor of Chemistry at Pennsylvania State University's Department of Chemistry. She is affiliated with the Huck Institutes for the Life Sciences and the Materials Research Institute, and serves on the graduate faculty of the Bioengineering Department. Her research focuses on self-assembled artificial cells, prebiotic compartmentalization, bioinspired materials synthesis, and particle assembly. Her work bridges physical chemistry, colloid science, and biological chemistry. Education: B.S. in Biology and Chemistry from Saint Francis College (1991), Ph.D. in Chemistry from Penn State (1997). Research Themes: Artificial cells and cytomimetic chemistry Prebiotic compartmentalization via coacervation Bioinspired materials using phase-separated microenvironments Optical applications of reconfigurable particle assemblies Awards: Over 20 honors including the Langmuir Lectureship (2024), AAAS Fellowship (2014), and NSF CAREER Award (2003-2008). Grants: Active funding includes projects on protocells and Rules of Life collaboration through NSF. Advises graduate students in interdisciplinary programs. Labs: Leads the Keating Group and participates in the ProteoCell Project, a six-university NSF initiative.

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Woo Soo KimView profile

Professor

Simon Fraser UniversityCanada

Woo Soo Kim is a Professor and Associate Director in the School of Mechatronic Systems Engineering at Simon Fraser University. As a Graduate Student Supervisor, he leads the SFU Additive Manufacturing Laboratory, focusing on advanced 3D printing, sensing robotics, and agritech applications. His research integrates additive manufacturing with smart systems for healthcare, agriculture, and IoT. Education: Ph.D. in Materials Engineering (KAIST, 2006), Postdoc at MIT (2009) Research Themes: 3D printed devices, bio-medical sensors, AI-driven robotics, and sustainable manufacturing His work emphasizes practical applications, such as wireless pressure sensors for helmets, AI-based crop monitoring, and portable health diagnostics. The lab collaborates on projects like the Agritech 4.0 Bootcamp and develops 3D printed neuromorphic systems. Kim’s publications span advanced materials, sensor integration, and robotics, with a focus on solving real-world challenges through additive manufacturing. He supervises graduate students in mechatronic design and teaches courses like MSE220 (Engineering Materials) and MSE812 (Advanced 3D Printing). The lab’s innovations include 3D printed disposable sensors, smart robotic grippers, and flexible electronics. His research bridges academia and industry, addressing sustainability and technological advancement in multiple sectors.

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Dori BejleriView profile

Assistant Professor

University of Maryland, College ParkUnited States

Dori Bejleri is an Assistant Professor in the Department of Mathematics at the University of Maryland, College Park. Prior to this, he was a Benjamin Peirce and NSF postdoctoral fellow at Harvard University (2019–2023) and an NSF postdoctoral fellow at MIT (2018–2019). He earned his PhD in 2018 from Brown University under Dan Abramovich's supervision. His research focuses on algebraic geometry, particularly moduli spaces and birational geometry, with connections to number theory, enumerative geometry, combinatorics, and geometric representation theory. His work is supported by NSF grant DMS-2401483. He has organized several academic events, including the JHU-UMD Algebra and Number Theory Day (2024) and the Perspectives on Moduli in Algebraic Geometry conference (2025). Bejleri has taught graduate courses such as Rationality Questions in Algebraic Geometry (Spring 2022), Birational Geometry of Algebraic Varieties (Fall 2020), and Moduli Spaces in Algebraic Geometry (Fall 2019). His research spans topics like wall-crossing phenomena in moduli spaces, compactifications of elliptic surfaces, and motivic Hilbert zeta functions. He has also contributed to the study of stable log pairs and geometric representation theory. His teaching and research reflect a commitment to advancing foundational questions in algebraic geometry while engaging with interdisciplinary connections. His academic contributions include organizing seminars and mentoring students through advanced topics in geometry and topology.

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Xiaowei ChenView profile

Associate Professor

Texas A&M UniversityUnited States

Xiaowei Chen is an Associate Professor in the Department of Geology and Geophysics at Texas A&M University. His research focuses on observational seismology, with an emphasis on earthquake rupture processes, induced seismicity, subsurface structure analysis, and applications of distributed acoustic sensing (DAS). He holds a PhD from the University of California, San Diego (2013), and has held prior academic positions including the Stubbeman-Drace Presidential Professorship at the University of Oklahoma (2020). His work integrates field observations, dense seismic arrays, and advanced computational methods to address critical questions in crustal dynamics and seismic hazard assessment. **Education:** PhD, University of California, San Diego, 2013 MS, University of California, San Diego, 2010 BS, University of Science and Technology of China, 2007 **Research Interests:** Chen investigates how anthropogenic activities influence fault behavior, interactions between seismic and aseismic slip, and factors controlling earthquake rupture characteristics. He studies these phenomena in tectonically active regions (e.g., western US, Japan) and intraplate settings (e.g., Oklahoma), leveraging DAS technology for high-resolution subsurface imaging. Recent projects include forecasting induced seismicity via machine learning and analyzing pore-pressure diffusion mechanisms in Oklahoma. **Awards:** Stubbeman-Drace Presidential Professor, University of Oklahoma (2020) Editor's citation for excellence in refereeing, JGR-Solid Earth (2018) **Advising & Grants:** While no formal advisees are listed, Chen’s collaborative research involves multidisciplinary teams addressing induced seismicity, fault dynamics, and crustal structure. His work is supported by grants from agencies like the USGS and SCEC. **Labs & Teams:** Engages with the Texas A&M Seismology Group and collaborates with institutions like the University of Oklahoma and the University of California system on projects involving seismic array deployments and DAS applications.

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Rajesh RamanathanView profile

Professor

RMIT UniversityAustralia

Professor Rajesh Ramanathan is a renowned interdisciplinary scientist and research leader at RMIT University's School of Science. He holds the rank of Professor and co-leads the NanoBiotechnology Research Lab (NBRL). His work focuses on nanotechnology, materials chemistry, and sensor development for healthcare applications, with over 85 peer-reviewed publications and 20 patents. He has secured AUD $22 million in research funding and mentored 16 PhD students and 3 postdocs. Education: PhD in Science (RMIT University, 2012), Master of Biotechnology (RMIT, 2006), and Bachelor of Science (Ruia College, 2004). Awards include the Hartung Lecturer Award (2022), Rising Star Award (2022), and Philip Law Postdoctoral Award (2019). Research interests span nanobiotechnology, nanozymes, antimicrobial surfaces, and sensors for environmental/clinical analytes. He leads projects in supercapacitor materials, inflammation theranostics, and UV protection textiles. Current students include Pyria Mariathomas (antibacterial nanozymes) and Shalu Yadav (2D nanocomposites for viral biomarkers). Professional roles include President of the Royal Australian Chemical Institute VIC Branch and leadership roles in the Australian Nanotechnology Network. His work bridges academia and industry, with collaborations in biomedical imaging and sensor commercialization.

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Irfan H. AbidiView profile

Research Fellow

RMIT UniversityAustralia

Irfan H. Abidi is a Research Fellow at RMIT University's School of Engineering, specializing in 2D materials and their applications. He previously held a Research Fellowship at the National University of Singapore's Centre for Advanced 2D Materials. His research focuses on engineering atomic structures in materials like graphene and h-BN via CVD techniques, with applications in optoelectronics, quantum technologies, and energy storage. Abidi has authored over 40 publications, holds four US patents, and leads multiple funded projects totaling over $2M, including AEA Ignite and ARC grants. He supervises research in areas like gas sensors and nanogenerators, and teaches Sensors and Measurement Technology courses. Education: Ph.D. in Materials Science from HKUST, Hong Kong. Research highlights include pioneering 'gettering' CVD growth and the first monolayer amorphous carbon synthesis. His work bridges academic research and industry, with collaborations on patents and tech commercialization. Grants include leadership roles in AEA Ignite projects (IG240100400, IG240100041) and ARC Discovery/LIEF grants (DP240100145, LE250100014). Key Awards: Over 2,200 citations (h-index 23), editor of a book. Lab/Teams: Collaborations with global industry partners on nanomaterials and device applications.

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