As the HR Partner for the Division, Jerry will be the first point of HR contact for all faculty and people managers. Jerry will be working closely with faculty and people managers to understand strategic and key day-to-day operational needs of the Division and provide data-driven insights and solutions. Jerry will act as a conduit and broker HR services and solutions to develop organizational capability of the Division. Jerry will also be an advocate for change to support the Division to be a Purpose-Driven, Engaging and High-Performing team and contribute to the Vision, Mission and Strategic Priorities of the University.
Jerry Thomas is located in Building 9, Level 3, Office number 3324 and can be reached via:
Ph: +966 12 8083212
Mobile: +966 544 700 397
For all individual HR related enquiries by staff and postdocs and for all employee relations issues, please contact HR Helpdesk at firstname.lastname@example.org or +966 12 808 2055.
HR On-Call Number: +966 544 700 277
DATE: Thursday, March 04, 2021
TIME: 12:00 PM - 01:00 PM
LOCATION:Zoom Webinar - registration is required
Registration Linkhttps://kaust.zoom.us/webinar/register/WN_4Pl4DBlkT1qBpKYiUa0rPwABSTRACT: Graphene is well known for its outstanding thermal
conductivity. Despite the exploitation of graphene in bulk materials is still
very much limited by its availability, graphene-related materials (GRM) such as
multi-layer graphene and graphene nanoplatelets (GNP) are currently of high
interest for the exploitation in thermally conductive materials. On the other
hand, there is an increasing interest and need for thermally-conductive
polymer-based materials, allowing the manufacturing of a range of heat
exchangers, taking advantage of the corrosion resistance and ease of processing
typical of polymers. While the combination of polymers and graphene-related
materials into nanocomposites is quite obvious, the performances obtained are
very variable and depend, among other parameters, on nanoparticles size, defects,
dispersion and processing. Furthermore, thermal conductivity in nanomaterials
is strongly limited by the interfaces, each of those acting as a thermal
resistance to the heat transfer. The first part of this talk will deal with
recent research work in the preparation and properties of GRM polymer
nanocomposites and nanopapers, as well as the functionalization of GNPs to
produce molecular junctions acting as thermal bridges. On the other hand, GRM
may also be used to deliver an heat shield in extreme conditions, for instance
when a flame is applied onto the surface of GRM-coated polymer foams. The
second part of the talk will deal with recent results on the development of
coating methods and the flame retardancy performance obtained with thin layers
of graphene oxide or GNP onto soft polyrethane open foams, which may find
applications in upholstered furniture, building insulation and transport.BIOGRAPHY: Current Position: Since October 2018, A. Fina is full professor in Chemistry at Politecnico di Torino, Department of Applied Science and Technology. Active in scientific research and teaching (Chair in Chemistry, Bachelor degree in engineering) Research Activities: Starting from his PhD, A. Fina have been addressing the preparation of polymer nanocomposites using different nanoparticles (nanoclays, layered double hydroxides, Polyhedral Oligomeric SilSesquioxanes-POSS) mainly aiming at flame retardancy properties. In 2009, he enlarged my research domain to thermally conductive polymer nanocomposites. This topic soon became his main research field, mostly in terms of applied research in the frame of EU FP7 projects Thermonano and Nanocool, and recently to the fundamental aspect behind the problem of thermal conductivity in polymer nanocomposites, in the frame of the ERC starting grant project INTHERM. In particular, a great deal of research efforts have been focused on the study of heat transfer on individual nanoparticles and their networks, as well as on the design and manufacturing of interfaces between nanoparticles, via the covalent or non-covalent chemical functionalization of graphene nanoplatelets. Non-covalent functionalization included porphirines and several bis-pyrene derivatives synthesized on purpose. On the other hand, edge-selective covalent functionalizations producing molecular junctions between nanoflakes were demonstrated to enhance heat transfer in the nanoflakes network. In parallel, he have also been active in the field of flame retardancy, especially in the study of ignition of polymers and nanocomposites, in the substitution of halogenated flame retardants in ABS as well as to nanoclay-based brick and mortar structures for the protection of polymer composites during exposure to a flame. In the last years, he has been working also on layer by layer coating depositions with nanoclays and graphene related materials onto films for gas barrier applications as well as on foams for their flame retardancy.
Alberto Fina is the leader of the Functional Polymer Nanocomposites group (http://www.disat.polito.it/it/la_ricerca/gruppi_di_ricerca/chenergy/solar_fuels_and_functional_materials_for_smart_energy_systems). Since 2010, he has been coordinating a research group composed of international researchers, including Assistant Professors, Post-Docs and PhD students. Alberto Fina published his first paper in 2005 and he is currently co-author of 80 papers in major international peer reviewed journals and monographs, with 4596 citations yielding an H-index of 31 (source: Scopus, 1st March 2021), 8 peer-reviewed book chapters and >70 other pubblications, including conference papers and technical papers. Full list at https://scholar.google.it/citations?user=pvpJp0cAAAAJ&hl=it.
DATE: Sunday, March 07, 2021
LOCATION:KAUST, VIA ZOOM, CLICK OR COPY THE LINK BELOW
Please click the link below to join the webinar:
Abstract: Study of dynamic and reversible supramolecular polymers, formed by monomer self-assembly, has entered an era that demands assemblies with more structural and dynamic control. Living supramolecular polymerization has emerged as a synthetic strategy to construct supramolecular assemblies with well-defined structure and dispersity. On the other hand, temporal control over dynamic materials is now being extended to non-equilibrium regime. While both of these controls are desirable, strategies to achieve them have been mostly chemically distinct. The synergy between structural and temporal control is important for the advent of supramolecular polymers to be employed as functional adaptive materials. To gain this symbiosis it is imperative that a common strategy is sought. Looking into the biological realm can provide a necessary inspiration for the conundrum.
We, in our laboratory, are driven by this philosophy and are currently trying to understand both thermodynamic and kinetic aspects of self-assembly. This talk describes our efforts in understanding a very key concept of biological self-assembly which is temporal control over aggregates via a chemical fuel as we think this approach can singlehandedly cater to various existing challenges of supramolecular chemistry such as a living supramolecular polymerization, control over nucleation rate, transient materials, and formation of supramolecular hetero-structures.
I will be discussing our results by taking supramolecular systems, which we have been working on during the last few years.
Biography: Subi George is currently leading a supramolecular chemistry group at the New Chemistry Unit of JNCASR, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, India. He is currently the Chair of the Chemistry department. He has obtained his Ph.D. degree at the National Institute for Interdisciplinary Science and Technology, India in 2004 in the group of Prof A. Ajayaghosh. During 2005-2008, he has been a post-doctoral fellow at the Laboratory of Macromolecular and Organic Chemistry, Eindhoven University of Technology, The Netherlands with Prof. Dr. E. W. (Bert) Meijer.). His current research interests focus on Functional Supramolecular Polymers, Living and Non-equilibrium supramolecular polymerization, Supramolecular Chirality, and Organic optoelectronic materials. He is the recipient of the Shanti Swarup Bhatnagar (SSB) Prize for Science and Technology in Chemical Sciences Category, which is the most prestigious science award in India, for the year 2020. He is also the recipient of the Swaranjayanti Fellowship from the Department of Science and Technology of Government of India (2017), Asian Photochemistry Association (APA) Young Scientist award (2015), NASI-SCOPUS Young Scientist Award in Chemistry (2015), Chemical Research Society of India Bronze Medal (2015) and Materials Research Society of India Medal (2013). In 2019, he has been elected as a Fellow of the Indian Academy of Sciences as one of the youngest members of the Academy. He was also the Young Associate of the Indian Academy of Sciences (2011). Since November 2020, he is the Associate Editor of Chemical Science (RSC flagship journal). He is a member of Editorial Advisory Boards of Chemistry of Materials (ACS), Material Horizons (RSC), Chem (Cell), and Organic Materials (Thieme). He is also on the Editorial Board of ChemNanoMat (Wiley).
DATE: Monday, March 08 - Tuesday, March 09, 2021
TIME: 09:00 AM - 05:00 PM
LOCATION:KAUST Campus and Kaust Webinar
You are invited to attend the KAUST Workshop for Women in Science and Engineering being held on campus March 8-9, 2021.
The workshop will include talks by renowned scientists and engineers about their personal journey, struggles and life-changing approaches. It will also include informative sessions on preparing your CV, guidelines to successful interviews, leadership and time management techniques.
If you reside in KAUST and would like to attend the meeting on campus please indicate so in the note box during your registration (limited attendance per Health and Safety regulations due to COVID will be possible).
The deadline to register for this workshop is March 1, 2021.
Have a look at the agenda and full program here.
Choose to Challenge
In celebration of International Women Day on March 8 themed #choosetochallenge, The KAUST workshop for Women in Science and Engineering is launching a campus-wide competition to choose extraordinary females who made the decision to CHALLENGE certain circumstances to prevail and succeed.
DATE: Monday, March 08, 2021
In research about extracellular vesicles, two limitations hinder advances, isolation and analysis of extracellular vesicles. For better isolation, we adapted the aqueous two-phase system (ATPS) to diagnose prostate cancer by isolating EVs from patients' urine. ATPS was optimized by adjusting polymer concentration. EVs were isolated in the first phase with efficiency of ~100%; total processing time is just ~ 30 min. For analysis of heterogeneity of extracellular vesicles, the multi-color particle tracking analysis system for quantified characterization of individual extracellular vesicles is developed, which simultaneously analyzes trajectories of multiple suspended particles visualized by scattered light and fluorescence of three colors. Through the subpopulation, it is estimated the number of total particle, particles bearing genes, lipoproteins and particles bearing extracellular vesicle (EV) related markers. Also, the colocalization of fluorescent probes is analyzed to determine the tendency of which markers are likely to coexist in the same particle. By combing those methods mentioned above, we could analyze subpopulation of extracellular vesicles, and could be useful in diagnosis, extracellular vesicle quality control in therapeutic applications.
Prof. Jaesung Park earned a PhD from University of Wisconsin-Madison in 2002. Afterward, envisioning applications in bioengineering, he joined Center for Engineering in Medicine as a postdoctoral fellow, at Harvard Medical School. In 2007, he joined POSTECH, and has focused on exosomes in developing a new method for iPSCs (induced pluripotent stem cells) and regeneration of tissues and organs with exosomes. Based on the his research, he founded ExosomePlus in 2018.
Registration link to join the webinar
Abstract: Spray fluidized bed agglomeration is a key process for the industrial production of foods, pharmaceuticals and chemicals with superior instant and dosing properties. In the classical view, it is describedmathematically by aggregation population balance equations (PBE). Significant research is still going on to improve the accuracy and speed of numerical solutions of such equations as well as to advance our ability of solving the inverse problem, i.e. of identifying the aggregation kernel or rate on the basis of experimental results. Despite of recent progresses with advanced identifications methods, this inverse problem remains difficult. Conventionally, a size-dependent part of the kernel is set by trial-and-error to one out of several proposed forms, whereas the pre-factor is fitted to typically time-dependent expressions (instead of constant factors). Since this is not satisfactory, completely different approaches have also been developed in the last decade. One of them uses (instead of the continuous PBE model) stochastic micro-scale models, often denoted by Monte-Carlo models. In this way experimental data can be described with minimal need for fitting. Moreover, the discrete models have been used to develop new population dynamics approaches, which turned out to be of superior predictive capacity because of their multivariate nature (the internal coordinate of particle size is fully resolved, whereas many other internal coordinates that refer to, among others, wetting and drying are captured by average values). Additionally, agglomerate morphology has been studied by 3D-imaging and descriptor analysis, and interrelations of morphology to operating conditions (especially to drying conditions) have been revealed. Further progresses that will be reviewed refer to the implementation of morphology into the process model, the implementation of agglomerate breakage, and the investigation of both, agglomeration with and without binder.
Bibliography: Evangelos Tsotsas holds the Chair of Thermal Process Engineering at Otto von Guericke University Magdeburg (Germany) since 1994. He has a PhD (1985) and a habilitation (1990) from Karlsruhe Institute of Technology, and he was a Senior Process Specialist at the Dow Chemical Company from 1991 to 1994.
DATE: Sunday, March 14 - Monday, March 15, 2021
TIME: 12:00 AM - 11:00 PM
DATE: Wednesday, March 17, 2021
TIME: 04:45 PM - 05:45 PM
LOCATION:KAUST, WEBINAR VIA ZOOM
ZOOM WEBINAR PRESENTATION
Check your email for the Zoom registration link. Join the webinar using your full name in order to register your assistance.
Abstract: Carbon dioxide sequestration in deep saline aquifers and depleted reservoirs relies on numerical models for the prediction of the spatial distribution of CO2 saturation during injection and migration. Due to the limited knowledge of the rock and fluid properties distribution, model predictions are often uncertain and must be updated when new measurements are available. The spatial distribution of CO2 saturation and the plume location can be monitored using time-lapse geophysical data, such as seismic and electromagnetic surveys. Geostatistical inversion methods provide a valid tool for the prediction of the time-dependent spatial distribution of CO2 saturation from geophysical data. The predicted models of CO2 saturation are obtained by updating an ensemble of geostatistically generated prior realizations, based on the misfit between geophysical model predictions and measured data. Stochastic methods allow estimating the posterior probability density function of the model variables conditioned by the observed data, hence providing a reliable estimate of the uncertainty, but are generally computationally demanding and often present numerical challenges in terms of convergence and acceptance ratio. Ensemble based methods represent a family of iterative algorithms that simultaneously update an ensemble of geostatistical realizations such that the model predictions match the measured data. This approach is efficient for non-linear inverse problems for which the computation of the conditional means and conditional covariance matrices of the model given the data cannot be analytically solved. The ensemble of posterior realizations is then used to predict the most likely model and its uncertainty. The method is illustrated through the application to the Johansen formation model, offshore Norway, using synthetic seismic and electromagnetic data.
Biography: Dario Grana is an associate professor in the Department of Geology and Geophysics at the University of Wyoming. He received a MS in Mathematics at University of Pavia (Italy) in 2005, a MS in Applied Mathematics at University of Milano Bicocca (Italy) in 2006, and a Ph.D. in Geophysics at Stanford University in 2013. He worked four years at Eni Exploration and Production in Milan. He joined the University of Wyoming in 2013. He is coauthor of the book ‘Seismic Reflections of Rock Properties’, published by Cambridge University Press in 2014. He is the recipient of the 2017 EAGE Van Weelden Award, the 2016 SEG Karcher Award, and the 2014 Eni award with Gary Mavko, Tapan Mukerji, and Jack Dvorkin for “pioneering innovations in theoretical and practical rock physics for seismic reservoir characterization”. His main research interests are rock physics, seismic reservoir characterization, geostatistics, data-assimilation, and inverse problems for subsurface modeling.
DATE: Monday, March 22, 2021
Many energy applications place strict requirements on material properties. For example, photocatalysts must have a band gap small enough to absorb solar energy, but large enough to prevent recombination. Further, their surface must contain stable and selective active sites for chemical reactions. Nanomaterials are appealing for applications with strict material requirements because their structure and properties are highly tunable. However, controlling nanomaterials remains a challenge because we lack fundamental understanding of their structure-property relationships. Here, I use metal oxide nanosheets as a model system to show the importance of surface structure and chemistry to material properties. Unlike bulk materials, nanosheets have a large proportion of surface exposed, undercoordinated atoms. In this work, I take advantage of these reactive surface sites to design new nanomaterials and control their properties.
Zachary Fishman graduated with a Ph.D. in Chemical and Environmental Engineering from Yale University in 2018. His work focuses on understanding nanomaterial surface chemistry and structure-property relationships. During his Ph.D., Zack synthesized new metal oxide nanosheets and tuned their optoelectronic properties for renewable energy applications. After graduating, Zack worked as a postdoctoral associate at Yale University and UNC-Chapel Hill investigating the complex intermolecular interactions between nanomaterials and their solution environment. Currently, Zack is a postdoctoral researcher at the National Institute of Standards and Technology (NIST) where he uses broadband dielectric spectroscopy to study intermolecular interactions.
Registration link to join the seminar:
DATE: Thursday, March 25, 2021
DATE: Thursday, April 08, 2021
DATE: Thursday, April 29, 2021
DATE: Thursday, May 06, 2021
DATE: Sunday, May 09 - Tuesday, May 11, 2021
DATE: Tuesday, May 11, 2021