Education .in



Curriculum VitaePersonal Information Family name: SINGHGiven name: Utkarsh Nationality: IndianPlace of Birth: Varanasi (INDIA)Date of Birth: 17 September, 1990 Office: AI Lab- VUB, Pleinlaan 9 (3rd Floor), Brussels 1050, BelgiumResidence: Boulevard du Triomphe 151/ 199, Brussels 1050, BelgiumE-mail: utkarsh.singh@Phone: +32-465578143Webpages: Professional Experience01/02/2020- Till datePostdoctoral ResearcherVrije Universiteit Brussels, Artificial Intelligence LabBrussels, BelgiumMember of CLAIRE () taskforce working towards COVID-19 data analysis and decision support tools.Working on optimization of AI Pipeline through process representation in project ‘Omina AI Solution (VLAIO Grant)’. Project Partner: Omina Technologies. In charge of developing process representations (formalism) through ontologies.Working on ‘Human-centered AI training through games (ESF Grant)’. Project partner: The Liquid House. In charge of development of training material.In charge of ideation for AI Escape Room. Project Initiative: AI Lab, VUB.Supervising a postgraduation internship for Erasmushogeschool Brussel. 01/06/2018 – 31/01/2020Postdoctoral ResearcherUniversité Libre de Bruxelles, OPERA – Wireless Communications GroupBrussels, BelgiumWorked as a Machine Learning expert in project 'MUFINS', funded by INNOVIRIS. Project partners: Brussels Major Events (BME), and Proximus. The goal of the project was to ensure safety in public events by forecasting hazardous crowd densities and assisting security agencies with best mitigation strategies. Responsibilities: WiFi sensor hardware setup, planning location and installation on monitored events, analysis of data acquired using WiFi sensors and cellular network, development of crowd density forecasting algorithms based on long-short term memory (LSTM) neural networks. Experience gained: Working across various platforms (MATLAB, Python, R, SQL, KNIME Analytics Platform, Maperitive, QGIS), mutual planning of objectives, individual and collective action to meet the objectives, project coordination through regular meetings and follow-up, preparing review reports for progress evaluation, proposing alternative actions in case of unforeseen issues in work plan.12/08/2014 – 17/02/ 2018PhD Research ScholarIndian Institute of Technology (IIT) Roorkee, Alternate Hydro Energy CentreUttarakhand, IndiaThesis work on 'Detection and Classification of Power Quality Disturbances'. This work was based on applications of signal processing, machine learning and optimization for development of fast and accurate, detection and classification power quality disturbances. Gained theoretical and practical knowledge in hydro-electric equipments, electrical energy systems planning and design, energy conservation and management.Learnt about real-time simulations and hardware-in-loop (HIL) testing on OPAL-RT platform.Contributed in preparing experiments for real-time digital simulation laboratory (real-time simulation of fault detection problems in power systems).As a post-graduate teaching assistant, took the lab and tutorials of Hydro-Electric Equipment.09/07/2012–11/08/2014Post-Graduate Student Thapar University, Electrical & Instrumentation Engineering DepartmentPunjab, IndiaThesis work on 'Radial Distribution System Reconfiguration for Loss Minimization using Exhaustive Search Techniques'. This work involved simulation and comparison of three different switching techniques in an IEEE-33 bus system for power loss minimization and voltage profile improvement. Additionally worked on load flow simulations and optimal distributed generation (DG) allocation in power systems.Gained theoretical and practical knowledge in power systems, power electronics and drives, HVAC/HVDC transmission systems, signal processing and artificial intelligence.Fulfilled duties as branch placement representative. Responsible for institute-company meetings, placement cell meetings, managing exams and interviews, ensuring placement of all students in the branch..Taught following courses as a graduate teaching assistant: Basic Electrical (Lab), Power Electronics & Drives (Lab), Electrical Machines (Lab), Control & Instrumentation (Lab), Power System Simulations (Lab), Digital Signal Processing (Tutorial), Power System Simulations using MATLAB (Introductory Lectures)16/07/2008–28/06/2012Under-Graduate StudentUttar Pradesh Technical University, Electrical & Electronics EngineeringUttar Pradesh, IndiaGained theoretical and practical knowledge in basic subjects of Electrical & Electronics Engineering.Underwent 48 days training at Department of Electrical Engineering, IIT Roorkee under Dr. Vinay Pant. Worked on 'Interval Arithmetic using MATLAB'. The objectives were three-phase: to master MATLAB programming, learn the concepts of interval arithmetic, and solve common power system problems using interval arithmetic toolbox in MATLAB.Received training in PLC/ SCADA workshop organized by Sofcon India Pvt. Ltd.Major project: Electricity anti-theft system. Prepared a small working model for detection of electricity tapping in distribution networks.Minor project: Developed a small working model for overheat sensing in AC motors.Education 12/08/2014 – 17/02/2018Doctor of Philosophy in Power Quality (9/10)Indian Institute of Technology (IIT) Roorkee, Uttarakhand, India09/07/2012 – 11/08/2014Master of Engineering in Power Systems (8.74/10)Thapar University, Punjab, India16/07/2008 – 28/06/2012Bachelor of Technology in Electrical and Electronics Engineering (80% with Hons.)Uttar Pradesh Technical University, Uttar Pradesh, India02/07/2007 – 23/05/2008Higher Secondary Education (85.60%)Central Board of Secondary Education, India01/07/2005 – 27/05/2006Secondary School Education (88.60%)Central Board of Secondary Education, IndiaPublicationsPublishedPapers (All in SCI journals)JF Determe, U Singh, F Horlin, P De Doncker: Forecasting Crowd Counts with Wi-Fi Systems: Univariate, Non-seasonal Models. IEEE Transactions on Intelligent Transportation Systems. Published: May12, 2020. DOI: 10.1109/TITS.2020.2992101 [Impact factor: 5.744]U Singh: Near-Perfect Time-Frequency Analysis of Power Quality Disturbances. IETE Journal of Research. Published: Feb 19, 2020. DOI: 10.1080/03772063.2020.1726828 [Impact factor: 0.829] U Singh, JF Determe, F Horlin, P De Doncker: Crowd Forecasting based on WiFi Sensors and LSTM Neural Networks. IEEE Transactions on Instrumentation and Measurement. Published: Jan 27, 2020. DOI: 10.1109/TIM.2020.2969588 [Impact factor: 3.067]U Singh, SN Singh: A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework. Applied Soft Computing 2019; 74, DOI:10.1016/j.asoc.2018.10.017 [Impact factor: 4.873, Citations: 9]U Singh, SN Singh: Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification. IEEE Transactions on Industrial Informatics 2018; 14(7), DOI:10.1109/TII.2017.2773475 [Impact factor: 7.377, Citations: 26]U Singh, SN Singh: Detection and Classification of PQ Disturbances based on Time-Frequency-Scale Transform. IET Science Measurement & Technology 2017; 11(6), DOI:10.1049/iet-smt.2016.0395 [Impact factor: 1.895, Citations: 17]U Singh, SN Singh: Time-Frequency-Scale Transform (TFST) for Analysis of PQ Disturbances. IET Science Measurement & Technology 2017; 11(3), DOI:10.1049/iet-smt.2016.0355 [Impact factor: 1.895, Citations: 4]U Singh, SN Singh: Application of Fractional Fourier Transform for Classification of Power Quality Disturbances. IET Science Measurement & Technology 2017; 11(1), DOI:10.1049/iet-smt.2016.0194 [Impact factor: 1.895, Citations: 45]Papers in ReviewU Singh, JF Determe, F Horlin, P De Doncker: Crowd Monitoring: State-of-the-art and Future Directions. Under revision for Pervasive and Mobile Computing (Elsevier). ThesisU Singh: Radial Distribution System Reconfiguration for Loss Minimization using Exhaustive Search Techniques. Thapar University Digital Repository ( HYPERLINK "" TuDR), 2014. [Citations: 3]U Singh: Detection and Classification of Power Quality Disturbances. Indian Institute of Technology Roorkee (link), 2018. PosterU. Singh, J.F. Determe, F. Horlin, P. De Doncker: Multi-Fidelity Intelligent Network System for Crowd Monitoring. Poster presented at ERIGrid Summer School; 2019 Jun 10-14; National Technical University of Athens, Greece. File available online at DOI: 10.13140/RG.2.2.31367.85922ConferenceU. Singh: Crowd forecasting based on LSTM neural networks. BNAIC 2019 [Presentation], File available online at DOI: 10.13140/RG.2.2.36625.38247Talk/ PresentationsDateEvent/ InstitutionLocationTopic of Presentation/ Talk06/11/2019Benelux artificial intelligence conference 2019 Brussels, BelgiumCrowd forecasting based on LSTM neural networks14/06/2019ERIGrid Summer School, National Technical University of AthensAthens, GreeceMulti-Fidelity Intelligent Network System for Crowd Monitoring29/05/2019‘Security by Design’ Workshop- BPS/ BPVBrussels, BelgiumMulti-Fidelity Intelligent Network System for Crowd Monitoring10/05/2019 Indian Institute of Technology (IIT) Mandi Himachal Pradesh, IndiaRecognition of power quality disturbances08/05/2019Indian Institute of Technology (IIT) JammuJammu & Kashmir, IndiaThe vast potential of signal processing & artificial intelligenceAwards & Achievements04/02/2020Received MSCA- Individual Fellowship 2019 in Society & Enterprise Category. Project name- ARMOUR (Score: 95.40%, Funding cut-off: 82.20%, Top 5% of funded projects)01/02/2020- OngoingPostdoc at AI Lab (VUB) in projects funded by the European Commission (ESF and VLAIO grants)01/06/2018-31/01/2020Postdoc at OPERA-WCG (ULB) with INNOVIRIS funding23/03/2017Received 100 USD from MathWorks USA for testing Wavelet Denoiser App in MATLAB. 12/08/2014– 17/02/2018Recipient of MHRD Fellowship for PhD, given by Government of India.09/07/2012– 11/08/2014Recipient of AICTE Fellowship for Master of Engineering, given by Government of India.15/03/2013Qualified Graduate Aptitude Test Engineering (GATE) in Electrical Engineering. The exam is jointly conducted by the Indian Institute of Technologies (IITs) and is highly competitive. Received MHRD fellowship for PhD on this basis. GATE SCORE: 397, MARKS: 38/100, All India Rank: 7388/15238115/03/2012Qualified Graduate Aptitude Test Engineering (GATE) in Electrical Engineering. Received AICTE fellowship for Master’s on this basis. GATE SCORE: 419, MARKS: 29.67/100, All India Rank: 5245/11012515/03/2011Qualified Graduate Aptitude Test Engineering (GATE) in Electrical Engineering. The candidate was one of the very few to qualify this exam in pre-final year of graduation. GATE SCORE: 321, MARKS: 26.33/100, All India Rank: 9840/72680Supervising/ Mentor ActivitiesInstitution(s)Candidate(s)TopicRoleErasmushogeschool Brussel Internship Programme- with AI Lab, Vrije Universiteit Brussel (VUB)Jan Willem van der LindenDevelopment of Python library for LSTM based multivariate forecastingSupervisorUniversité libre de Bruxelles (ULB) & Vrije Universiteit Brussel (VUB) – Joint Master’s ProgrammeAlison Crauwels and Eleonora DesyCrowd Dynamics Forecasting based on Wi-Fi Technology (Completed: June 2019)Thesis Reader, Defense CommitteeUniversité libre de Bruxelles (ULB) & Vrije Universiteit Brussel (VUB) – Joint Master’s ProgrammeTimoer Buckinx, Yu Wang, and Sophia AzzagnuniCrowd monitoring and density forecasting using Wi-Fi (Completed: June 2018)Thesis Reader, Defense CommitteeSkills and Activities Skills/ ExpertisePower Systems, Distributed Generation, Power Quality, Signal Processing, Modelling and simulation, Algorithms, Optimization, Data Analysis, Forecasting, Pattern Recognition, Machine Learning, RTDS (RSCAD), OPAL-RT (RT-LAB), HIL testing, MATLAB, R, Python, Keras/ Tensorflow, C, C++, KNIME Analytics Platform, Maperitive, QGISLanguagesEnglish (Full Proficiency), Hindi (Native), French (Elementary), Greek (Elementary) MembershipIEEE (Grade: Member, Membership No. # 94188522), IEEE PES (2017-18), IEEE IES (2019-ongoing), IEEE Smart Grid Community (2017-ongoing), Benelux Association for Artificial Intelligence | BNVKI (2019-ongoing), IEEE Information Theory Society (2019-ongoing)Journal RefereeIEEE Transactions on Power Delivery; IEEE Transactions on Industrial Informatics; IEEE Transactions on Signal Processing; IET Generation Transmission & Distribution; IET Renewable Power Generation, IET Science, Measurement & Technology; IET Computer Vision; Springer Electrical Engineering; MDPI Applied Sciences, IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe 2018) ConferenceTraining/ Workshop ERIGrid Summer School on Advanced Operation and Control of Active Distribution Networks, held at National Technical University of Athens (Greece), from 10/06/2019 to 14/06/2019.OPAL-RT/ BERTA training, held at IIT Roorkee (India), from 04/04/2016 to 07/04/2016.PLC/ SCADA workshop organized by Sofcon India Pvt. Ltd. (India) on 27/09/2011Summer training in Interval Arithmetic using MATLAB, at IIT Roorkee (India), from 11/06/2011-28/07/2011.Industrial visitsDEPsys (Switzerland) on 05/07/2019: Learnt about GridEye hardware and software, interacted with employees, and discussed research objectives for a MSCA-IF research proposal (now submitted) with R&D Director, Dr. Omid Alizadeh-Mousavi.Meltemi in Athens (Greece) on 13/06/2019: Learnt about the stand-alone operation of renewable energy based microgrid developed by NTUA researchers.Hellenic Electricity Distribution Network Operator (HEDNO) in Athens (Greece) on 14/06/2019: Visited substations and control room of HEDNO. Learnt about distribution system control and the challenges faced by distribution system operators (DSOs). ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download