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PhD Interview Presentation

Transcript: Interview for PhD position at University of Paris Academic Background Academic Background - High School Degree in Mathematics Chounen High School, 2016 - Bachelor Degree in Physics University of Djelfa, 2016-2019 - Master Degree in Astrophysics University of Constantine 1, 2019-2021 Courses Highlights M1 Courses First year of master degree Fundamental astronomy Astronomical data processing Interstellar medium computational physics general relativity Particle physics Courses Highlights M2 Courses Second year of master degree Standard model Astroparticle physics High-Energy Astrophysics Cosmic Rays Nuclear Astrophysics Vision Experience in data analysis Experience in correlation research Experience in scientific writing Experience in Python programming and Basic ML knowledge Why would I fit for this program Research Experience Research DRAFT Paper Algorithms Here are few algorithms used in my previous works correlation finder D'Agostni Fitting ML Algorithms Machine Learning Algorithms Support Vector Machines K-Nearest Neighbors Decision Trees Future Goals To do learn and develop machine learning algorithms for the search of neutrino-gamma correlations and analyze its data. Approach: - benefit from my previous experience -benefit from the AHE group -learn advanced machine/deep learning techniques THANK YOU

PhD Interview Presentation

Transcript: Interview for PhD position at Utrecht University About Me! I am a Yemeni, lived 20 years in Malaysia. My interest has always revolved around giving back to either society and the planet. I am currently finialisng my Masters thesis at Radboud University, and also interning at a chemical manufaturing company. About Me Academic Background Bachelor’s degree in Banking and Finance, specialising in risk management and investment, - Asia Pacific University, 2014 - 2018 Pre-Masters in Environment and Society - Radboud University, 2021 - 2022 Master’s degree in Global Environment and Sustainability - Radboud University, 2022 - 2023 Academic Background Professional Background Professional Background Treasury Trainee; 2018 - 2019 skills: Financial Analysis and Risk management Sustainability Intern; 2020 - 2021 skills: Stakeholder Engagement and compliance Student Assitant (Quantitative methods); 2022 - 2023 skills: Literature Review, reporting and Data Analysis CSR & QHSE trainee; 2023 - 2023 skills: Communication and Collaboration, chemical and material science and solution based strategies Research Experience Research Bakgroynd Relevant research Research that are relevant Life cycle assessment on Radboud's greenhouse; 2022 - 2023 Operating bed covers and heat mattresses; 2022 - 2023 Master's Thesis; How are green and blue hydrogen are framed in European Media?; 2022 - 2023 Intenrship report: Map out waste streams and idetitfy opporunties of reuse and recycle; 2023- 2023 Master Thesis An indepth look into my master's thesis How has hydrogen technology been framed in European media between 2018 and 2023? What frames surrounding blue and green hydrogen technology emerged in European media? • Who are the key actors involved in shaping the narrative around blue and green hydrogen technology in media discourse, and how do they form coalitions? • How have broader societal and environmental concerns influence the framing of hydrogen technology, and what factors have contributed to its legitimacy? Why this topic? Motivations - Blue and green hydrogen as emerging technologies with potential to play a role in the transition to a low-carbon future. - Lack of research on how blue and green hydrogen are framed in the media. - Importance of raising public awareness of benefits and challenges of blue and green hydrogen. Theories Theories and Methodologies - Framing Theory by Gamson & Modigliani (1989) - Discourse Coalition by Hajer 2006 -->Technology legitmacy - Qualitative - Media Analysis + Two mode network - Atlas ti Methodologies Result My Candidancy Why I fit for this progam • Research background • Interdisciplinary skills • Methodological expertise • Passion for sustainability • Communication skills • Postdoctoral position • Energy sector • Knowledge exchange • Long term vision Future Goals My future goals

PhD Interview Presentation

Transcript: Interview for PhD position at Maastricht University Academic Background - BS in Computer Engineering (IT branch) Azarbaijan Shahid Madani University, 2013-2017 - MS Degree in Computer Engineering Bilkent University, 2019-2022 Academic Background BS Courses Highlights Artificial Intelligence Decision Support and Expert Systems Database Systems Discrete Mathematics BS Courses MS Courses Highlights MS Courses Machine Learning Deep Learning Computer Vision Computational Geometry Parallel Computing Research Experience Research Applying Information Retrieval Paradigms in NL to SQL Translation Conditional text generation for query recommendation Explaining multi-class classification results TranSQLate MS Thesis improve the accuracy by 16.5% Learning with additional feratures Transformers DRAFT Paper Data Scientist 1001Epochs Work Experience Used LLMs to paraphrase Question-Answering model using Langchain Similarity search Vision Experience in data analysis Experience in correlation research Experience in scientific writing Experience in Python programming and Basic ML knowledge Why would I fit for this program Trustworthy Explainiability, Transparency, Traceability Trustworthy Conversational AI Scale Blending skills personality, knowledge, empathy Generation strategies beam search, next token sampling, and n-gram blocking Conversational AI Future Goals To do learn and develop machine learning algorithms for improving the quality of chatbots and Conversational AI Approach: - benefit from my previous experience -benefit from the great research envirnment at UM -learn advanced machine/deep learning techniques THANK YOU

PhD Interview Presentation

Transcript: Interview for PhD position at University of Antwerp Academic Background Academic Background High School Degree Exchange student in Canada for 6 months Master Degree in Physics Federal University of Pernambuco PhD in Physics Federal University of Penambuco Graduation in Physics Federal University of Pernambuco 2017-2019 2013 2020-2022 2022-2026 Courses Highlights Classical Electrodynamics Quantum Theory Statistical Mechanics Quantum Optics Master Courses Courses Highlights PhD Courses Advanced Classical Mechanics Computational Physics Magnetic Properties of Structures Advanced Classical Electrodynamics (ongoing) Teaching experience Experience teaching physics High School Teacher Colégio Fernando Ferrari High School Teacher Colégio Imaculado Coração de Maria Substitute Professor Federal University of Pernambuco Contract Professor Faculty of Igarassu 2021 2021 - 2023 2020 2023 High School Teacher National Commercial Apprenticeship Service - Senac 2023 Prizes Useful skills Checklist Experience using Latex for scientific writing Experience solving Monte Carlo and Molecular Dynamic simulation Data analysis using OriginPro and Gnuplot Experience using OOMMF and Mumax3 for simulation of magnetic reversal and FMR Programming skills using Bash Script, C, Octave and Python Research Research Experience Algorithms Some previous algorithms Monte Carlo Molecular Dynamic Mumax3 + Bash Results a) b) c) d) Draft Paper Dipolar magnetic interactions in 3x3 arrays of rectangular Ni nanopillars Simulations of FMR for study the shape anisotropy in square hollow nanopillars Effects of the packing factor on magnetic anisotropy in a 3x3 array of square hollow Ni nanopillars Simulated FMR to study in plane magnetic anisotropy of 3x3 array constituted by square base nickel nanopillars Future Goals Learn Density Functional Theory 01 Using DFT to find magnetic parameters Calculations using VASP 02 Learn and use VASP in simulations Improve my scientific writing skills 03 04 Objectives Study and enhance my knowledge to publish more scientific papers Contribute with my expertise and proactivity Use my previous experiences to contribute to my fellow's work and keep a good labor environment Questions? ?

PhD interview Presentation

Transcript: Input: Literature review Existing data sets Qualitative & quantitative data collected from case study regions Outputs: Create spatial framework Model various land use scenarios using framework at different spatio-temporal scales Present future scenarios in social ecological political contexts Glastir Woodland Creation Opportunities Phase 1 habitat map Project methodology Broadleaf woodland habitat network - Forest Research Various indexes: % cover, No. of patches, total edge, core area. Distribution of welsh woodland is spatially correlated rather than random and governed by topography, hydrology and land use (agriculture/plantation) Conifer plantations - highly correlated, broadleaf woodlands - less clustered Europe - percentage tree cover Ancient Woodland Inventory (2011) Northern forest Land cover thresholds (Forest Research) Peri-urban forest Afforestation - "50 million new trees" Urban/industrial and post-industrial landscape Shadows path of east-west M62 Biodiversity offsetting - masking woodland losses elsewhere? Only £5.7 million from Government from a projected total of £500 million Centre for Ecology and Hydrology - Land cover map 2015 Where can we see some of these drivers playing out in a UK context? Revive absent ecological processes Increase habitat connectivity. Core zones and buffer zones. Land already committed through NGO partners and public forest. Big change is bringing farmers onboard Precedents set by Pontbren project and MWT Pumlumon project (PES) Work on adapting commons concept Summit to Sea/O’r Mynydd i’r Môr Northern Forest Policy instruments Forest products markets Forest cultures Value of competing land uses Innovation - tech & skill Land abandonment Biodiversity - habitat protection Topography/Hydrology Thank you! Diolch yn fawr! Scale - at what spatio-temporal resolutions? Mapping between models and real world - applying landscape thresholds to random and actual landscapes. Modelling resilient, robust woodlands. "Crowded future landscapes" - competing land uses - woodland emergence within hostile matrix of intensive land use - disruption of open habitat networks. Interplay between spatial analysis and social research. Ethical dimension - respect for present landuse practice and social/cultural importance of this. Place spatial analysis within complex social ecological economic, politcal context. Before Adam Thorogood Summit to Sea Case studies 2016 Wales forest extent, loss & gain Land use change on a large scale involving multiple partners. Passive vs. Active afforestation National Forest Summit to Sea - terrestrial and marine, upland, agricultural Northern Forest - built environment, infrastruture, peri-urban National Forest - 28 years into project, peri-urban, afforestation Borders Forest Trust - Carrifran Wildwood, upland afforestation Knepp Castle - estate, ex-arable/dairy land, process-led wilding Trees for life - Scottish highlands, restore Caledonian forest Mersey Forest - community-led, partnership, peri-urban "Emerging spaces for native woodland growth in Britain's crowded future landscapes." Operationalising future planing PhD Interview presentation Adam Thorogood 10th Aug 2018 Useful Datasets What are the drivers and constraints for increase or decrease in forest cover? Trees for Life Slovenia forest extent, loss & gain Phase 1 habitat survey Ancient Woodland Inventory Glastir woodland creation opportunities Agricultural data sets - IBERS Sentinel 2 satellite data UK forest extent, loss & gain

PhD Interview Presentation

Transcript: EDUCATION EXPERIENCE SKILLS RESEARCH PLAN mmm8198@rit.edu EXPERIENCE 2014-2020 2014-2020 Faculty Member | Instructor Islamic Azad University of Fariman 2016-2017 2016-2017 Islamic Azad University of Mashhad 2006-2014 2006-2014 Islamic Azad University of Bam EDUCATION Publications Ph.D. B.Sc. M.Sc. M.Sc. Bachelor's Degree Skilled gained: Master's Degree Skills gained: Thesis focus: Ph.D. Thesis: Thesis focus: Ph.D. Degree Publication Master's thesis: Master's Degree (Second M.S.) Course projects: Thesis focus: RESEARCH PLAN MANAGERIAL Language Skills Mother tongue (s) Other language (s) Language 1 Language 2 Language 1 Language 2 Language 3 Other Skills Name your Skills Skills description: Skills proficiency: Skill 1 Skill 2 Skill 3 TECHNICAL Name your Skills Skills description: Skills proficiency: Skill 1 Skill 2 Skill 3 COMPUTER Name your Skills Skills description: ARTISTIC RESEARCH PLAN MANAGERIAL Language Skills Mother tongue (s) Other language (s) Language 1 Language 2 Language 1 Language 2 Language 3 Other Skills Name your Skills Skills description: Skills proficiency: Skill 1 Skill 2 Skill 3 TECHNICAL Name your Skills Skills description: Skills proficiency: Skill 1 Skill 2 Skill 3 COMPUTER Name your Skills Skills description: ARTISTIC

PhD Interview presentation

Transcript: Hossein Dehghan-Niri highly motivated, learner and explore for new ventures EDUCATION EXPERIENCE SKILLS Research hosseinniri@hotmail.com EDUCATION Bachelor Degree Electrical Engineering(Control major) skills covered: MCUs Programming and Circuit Design Programming (C\Cpp\Python) Electrical machines and industrial electronics Linear\Modern\Digital\industrial... Control Simulation and implemention Controllers Simulation and Modelling Machine learning KNTU University Address of the institution: Tehran City, Iran Master's Degree Electrical Engineering(Electrical Machines And Power Electronics) skills covered: Electrical Machines modeling and control System Identifications Optimal Control Converters Control and Design General Theory of Electrical Machines KNTU University Address of the institution: Tehran City, Iran EXPERIENCE 2016-2018 2017-2018 Undergraduate research assistant ARAS-KN2C Team Advanced Robotics and Automated Systems (ARAS) • Implementing Fuzzy-PID controllers for altitude and position control of quad-rotors • PCB and 3D Body Design of quad-rotor • Control and drive 3-phase BLDC motors • Planning and navigation control of outdoor quad-rotors by GPS • Embedded programming and work with MAV link protocol • Achieve third place in indoor MAVs in the Iranopen 2018 Robotic competition 2018-2020 2018-2020 KNTU Undergraduate Research Assistant Bachelor project: Parameter estimation of industrial winding (Damavand Tokamak) using an Output-only Observer/Kalman filter identification (O3KID) method Simulation Modeling course project: Modeling and Simulation of 3DOF Arm Using Co-simulation of Simscape and 3D model of SOLIDWORKS Freelance project: Sign detection using a classic computer vision method Computer Vision course project: Persian Handwriting Recognition using Convolutional Neural Network and Computer Vision Algorithm 2020-2023 2020-Present KNTU Advanced Electric Machines and Power Electronics Research Lab Graduate Research Assistant AMPE LAB Implementing speed controller of SPMSM with TI DSP C2000 series using SIMULINK Coder Analytical modeling of PMa-SynRM machine Torque ripple modeling using MLP ANN based on FEA data Torque ripple reduction of PMa-SynRM Using Harmonic injection optimized by Genetic Algorithm Torque ripple reduction of PMa-SynRM Using ANN torque ripple model estimator Teaching Assistance of Electrical Engineering Fundamentals Course Author and Co-author of four conference papers and one journal paper Adjacent instructor of electronic and control in robotic course 2020-Present KNTU Advanced Electric Machines and Power Electronics Research Laboratory Graduate Research Assistant Outcomes and Publications: AMPE LAB Publications: Thesis: "Torque ripple minimization of PMSMs using control algorithms" Novelty: "Develop model for output torque of PMSMs include torque ripple " PEDSTC2023: "Extended model of pm-assisted synchronous reluctance motor including torque fluctuation" Novelty: Propose ANN model for torque ripple use little data from FEM. ICEMD2023: "Torque fluctuation minimization in pma-synrm using optimized current harmonic injection by genetic algorithm" Novelty: Use ANN model of torque ripple as feedback for GA optimization. In preparing: "Torque ripple reduction in PMSMs using FOC aided by ANN torque ripple estimator" Novelty: Use ANN model of torque ripple model as estimator. 2021-Present Kavoshcom Asia R&D Group -> IOT Department Electronic enigineer (Part Time) Kavoshcom Work in the IoT area, specializing in dataloggers and car trackers. Develop and maintain MCU firmware. Design, simulate, and fabricate analog and digital circuits. Supervise the manufacturing process. Provide support for customer issues. Enhance my teamwork and analytical skills. SKILLS non-technical skills Soft Skills Native language Second language Persian English TOEFL : 86 Reading: 24 Listening: 24 Writing: 20 Speaking: 18 Other Skills Team-Working and Teaching Electrical Skills: Skills description: Electrical Machines Drive: Modeling, Control, Analysis Control Systems: Linear, Modern, Digital, Optimal Control Power Electronics: Design, Control, Analysis System Identification: Static, Dynamic, Nonlinear Experience in prototype development involving Designing, soldering, 3D printing, assembly, testing, and familiarity with mass production processes, including manufacturing, quality control, and supply chain management. Electrical Software Skills Skills description: COMPUTER Programming Languages: Python, C++, MATLAB for modeling, simulation, and data analysis. Simulation Tools: SIMULINK, LTSpice MCUs: STM32F and Ti C2000 series programming Design: PCB design with Altium Design 2D and 3D design using SOLIDWORKS Version Control: GIT and SVN Machine Learning & AI: familiar with machine learning frameworks such as Tensorflow, Keras, Opencv My Hobbies Hobbies description: Hiking and biking Traveling Movie and Persian Music Entertainments Research Present status of my research progress: Verify my thesis by

PhD Interview Presentation

Transcript: Origin From southern part of India - Chennai About me About me Bachelor degree & professional experience Design engineer, madeit innovation foundation (June 2019 - July 21) Bachelor's in mechanical engineering ( July 2015 - May 2019) Collaborated with early stage entrepreneurs: 1) Supported with design concepts & prototypes 2) Drafted pre-seed fund proposals for product idea validation About me Bachelor degree and professional experience Master Degree Master degree Moved to Delft to learn about micro/nanosystems Master's in mechanical engineering (specialization in high-tech engineering) Sept 2021 - Sept 2023 Knowledge gained from courses: 1. Modeling a dynamic system using governing equations of motion usingMatlab (Course: Engineering Dynamics) 2. Model based design of controllers using Matlab (Course: Mechantronics systems design) 3. Cleanroom fabrication techniques (Course: Micro/nano systems design and fabrication) About me Personal Motivation Master Thesis Aimed for a micro/nano project related to sensing applications Master Thesis Objective MEMS devices such as accelerometers are wafer bonded to provide hermetic sealing Objective It is important to measure leak rate of packages for lifetime prediction purpose Master Thesis Theory Methodology Leak rate (dN/dt) α deflection (Z) α Pressure difference (Pext-Pin) Experiments Characterize pressure-deflection behavior Demonstrate leak rate calculation using samples with defined rectangular channels Conduct leak testing using samples without defined channels Master Thesis Test setup Test Setup Master Thesis Schematic Actual setup Digital holographic microscope Result Result Master Thesis Helium leak testing Helium leak rate: 1.36E-17 mol/sec Accelerated hermeticity testing can be effectively done by measuring deflection using the interferometer-vacuum chamber setup Interest for PhD Independent learning about holographic microscope for deflection measurements Interest for PhD Enjoyed part during master thesis Expanded knowledge on using DHM to measure Graphene thickness by combining 3 wavelength sources through collaboration with Michiel Colloboration to explore more about using DHM Tuning dissipation dilution in 2D material resonators by MEMS-induced tension SEM image of MEMS 2D Material Interest for PhD Michiel Wopereis, N. Bouman, S. Dutta, P.G. Steeneken, F. Alijani, G.J. Verbiest 2024 Coffee discussion Coffee discussion Understood that the concerned project involved fabrication steps and amplitude-frequency measurements Interest for PhD Project: Tuning dissipation dilution in 2D material resonators by MEMS-induced tension Captivated with the objective and experiments Joined the thesis presentation and read the pre-print Motivation: High Q factor Low energy dissipation per cycle High performance phase noise rejection High performance phase noise rejection Fabrication: A method for depositing material using electron beams for precise fabrication. PPC film preparation Annealing Exfoliation Key steps in materials processing EBID Measurements: Resonance frequency measurments Interest for PhD Project: Tuning dissipation dilution in 2D material resonators by MEMS-induced tension Motivation Motivation for PhD A small colloboration got me interested in nanoresonators as my next exploration in micro/nano systems Explored various projects combining experiments during DNM talks and discussed about PhD projects with Dr. Farbod Interest for PhD Topic of interest Topic Improving the performance of resonant sensors in close loop Topic of interest Previous works 1) Resolution limit of resonant sensors Tomás Manzaneque, Murali K. Ghatkesar, Farbod Alijani, Minxing Xu, Richard A. Norte, and Peter G. Steeneken 2023 Key points of interest from previous works Characterizing thermomechanical noise using laser technology Validating reduction in allan deviation with amplitude increase Operating at resonance phase point for noise emulation 2) Tuning nonlinear damping in graphene nanoresonators by parametric–direct internal resonance Ata Keşkekler, Oriel Shoshani, Martin Lee, Herre S. J. van der Zant, Peter G. Steeneken & Farbod Alijan 2021 Identifying limitations in sensing rate due to non-linear damping Topic of interest Tips for tuning frequency resolution Resolution limit of resonant sensors For fast sensing: Increase quality factor Tune amplitude Frequency resolution can be minimized by reducing the rate at which data is collected, allowing for more accurate frequency analysis. For slow sensing: Decrease acquisition rate Topic of interest Driving fundamental mode to interact with higher mode for internal resonance Tuning non-linear damping By increasing material tension, parametric resonance frequency increase rate reduces near locking regime, where non-linear damping significantly drops, which can aid to reduce frequency noise Frequency resolution can be minimized by reducing the rate at which data is collected, allowing for more accurate frequency analysis. Topic of interest

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