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Ayman Samara

Ayman Samara

Senior Scientist

Ayman Samara

Senior Scientist

Educational Qualifications

PhD in Optical Science and Engineering

MSc in Applied Optics

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Ayman Samara joined Qatar Environment and Energy Research Institute (QEERI) Core Labs in 2015 as a Senior Scientist to help establish the optical microscopy lab, profilometry lab, thermal analysis lab, and thin film characterization. Dr. Samara is currently leading all analysis activities and manages the operations of these labs, supporting research at HBKU, local and global companies and educational institutes in Qatar. He obtained his MSc and PhD degrees in Optical Engineering and Science from the Center for Optoelectronics and Optical Communications at the University of North Carolina – Charlotte, and his BSc in Electrical Engineering from the University of Jordan. Dr. Samara started his career in the semiconductor industry in 2005 at Intel Corporation’s D1D Fab in Portland, OR, USA, as a Senior Process Development Engineer leading the development of metrology and defect detection capabilities for the Lithography process supporting manufacturing of the 65-32nm technology nodes. In 2009, Dr. Samara served as the Manager of the Dimensional Metrology and Defect Analysis facility in the assembly materials characterization division of Intel Corporation. Prior to Joining HBKU, Dr. Samara served as an Assistant Professor of Electrical Engineering at the American University of the Middle East in Kuwait, where he established the Optics Engineering lab and taught multiple EE courses.
 

PhD in Optical Science and Engineering

University of North Carolina - Charlotte; North Carolina, USA

2005

MSc in Applied Optics

University of North Carolina - Charlotte; North Carolina, USA

2002

BSc in Electrical Engineering

University of Jordan; Amman, Jordan

1999

  • Material Characterization
  • Metrology and Profilometry
  • Optical Microscopy and Interferometry
  • Thermal Analysis
  • Thin Film Characterization

Assistant Professor of Electrical Engineering

College of Engineering, American University of the Middle East - Kuwait

2014 - 2015

Metrology Development and Operations Manager

Assembly Material Characterization Lab; Intel Corporation - Phoenix, AZ, USA

2009 - 2014

Senior Lithography Process Development Engineer

D1D Fab; Intel Corporation - Portland, OR, USA

2005 - 2009

A new approach for an ultra-thin piezoresistive sensor based on solidified carbon ink film; Journal of Materials Science

Controlling the biocorrosion of sulfate-reducing bacteria (SRB) on carbon steel using ZnO/chitosan nanocomposite as an eco-friendly biocide; Corrosion Science

Improved self-cleaning properties of an efficient and easy to scale up TiO2 thin films prepared by adsorptive self-assembly; Scientific reports

Aerial wetting contact angle measurement using confocal microscopy; Measurement Science and Technology

Three-dimensional inline inspection for substrate warpage and ball grid array coplanarity using stereo vision; Applied optics

Dynamic range enhancing technique for form, waviness and roughness measurements using fringe projection; Recent Developments in Traceable Dimensional Measurements

Traceable Radius Measurements of Micro-lensesTraceable Radius Measurements of Micro-lenses; Optical Fabrication and Testing

  • 2007; Manufacturing Sustainability Excellence Award; Intel Corporation; Portland, OR, USA
  • 2013; 6 Sigma Green Belt; Intel Corporation; Phoenix, AZ, USA
     

Karthik Somasundaram

Scientist

Karthik Somasundaram

Scientist

Educational Qualifications

PhD

Master of Science (Mechanical Engineering)

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Karthik Somasundaram joined Qatar Environment and Energy Research Institute (QEERI) in July 2022 as a Scientist at the Energy Center. He has nine years of experience in energy storage research especially in the field of Li-ion battery since his PhD. Dr. Karthik received his PhD from National University of Singapore (NUS) in November 2012. His research focused on modeling of transport phenomena in Li-ion batteries and supercapacitors. After his PhD, he spent several years in Singapore working on several research projects at NUS, NTU-Rolls Royce Electrical focusing on multi-scale, multi-physics modeling of

Li-ion batteries related to performance, safety and durability. He also worked as a Li-S cell modeler for Oxis Energy in UK on a joint research project with Imperial College, London and Cranfield University. 

Before joining QEERI, Dr. Karthik worked as a Senior Engineer at Caterpillar India in the Advanced Power Products division focusing on development, parameterization, and utilization of mechanistic and empirical models for Li-ion battery cells to predict performance and aging under various operating conditions.

Prior to that, he worked for Renault-Nissan Technology Center in India focusing on optimizing battery cell designs using electrochemical-thermal models, developing machine learning models for process automation and shortlisting of materials. 


 

PhD

National University of Singapore; Singapore

2012

Master of Science (Mechanical Engineering)

National University of Singapore; Singapore

2007

Bachelor of Engineering (Mechanical Engineering)

Madurai Kamaraj University; India

2003

  • Li-ion battery modeling - Electrochemical-thermal models
  • equivalent electrical circuit models to predict performance and durability
  • Battery thermal management systems
  • safety
  • testing and characterization
  • Electric vehicles and energy storage systems (ESS) modeling
  • Machine learning models to predict ageing of batteries
  • Advanced battery chemistries - ASSB
  • Li-S and flow batteries

Senior Engineer

Advanced Power Products; Caterpillar India Engineering Solutions, India

2021 - 2022

Research Fellow

ERIAN-Rolls Royce Electrical; Nanyang Technological University, Singapore

2020

Deputy Manager

Research and Advanced Engineering (Materials); Renault Nissan Technology and Business Centre, India

2017 - 2020

Research Fellow

Cambridge C4T program and Mechanical Engineering; National University of Singapore, Singapore

2015 - 2017

Li-S Cell Modeler

Oxis Energy Ltd., UK

2014

Research Fellow

ME Department; National University of Singapore, Singapore

2012 - 2014

Thermal–electrochemical model for passive thermal management of a spiral-wound lithium-ion battery; Journal of Power Sources 203, 84-96; https://doi.org/10.1016/j.jpowsour.2011.11.075

Analysis of a model for an electrochemical capacitor; Journal of The Electrochemical Society 158 (11), A1220; https://doi.org/10.1149/2.062111jes

Electro-thermal analysis of Lithium Iron Phosphate battery for electric vehicles; Journal of Power Sources 249, 231-238; https://doi.org/10.1016/j.jpowsour.2013.10.052

Effect of thermal contact resistances on fast charging of large format lithium ion batteries; Electrochimica Acta 134, 327-337; https://doi.org/10.1016/j.electacta.2014.04.134

HVNguyen, A Fisher, AS Mujumdar; Scale analysis of electrochemical and thermal behaviour of a cylindrical spiral-wound lithium-ion battery; Electrochimica Acta 400, 139397; https://doi.org/10.1016/j.electacta.2021.139397

Hydrodynamic voltammetry at a rocking disc electrode: Theory versus experiment; Electrochimica Acta 188, 837-844; https://doi.org/10.1016/j.electacta.2015.11.143

Abdulaziz Al-Emadi

Abdulaziz Al-Emadi

Research Assistant

Abdulaziz Al-Emadi

Research Assistant

Educational Qualifications

Bachelor of Engineering with First-Class Honors in Electronic and Electrical Engineering

International Foundation year

Entity

Qatar Environment and Energy Research Institute

Biography

Abdulaziz Al-Emadi is a Research Assistant with Qatar Environment and Energy Research Institute (QEERI) at Hamad Bin Khalifa University in Doha, Qatar. He had preciously worked in Qatar Petroleum and RasGas companies as an Instruments Technician, following which he joined QEERI as a Lab Technician. Upon completion of his degree, he assumed the role of Research Assistant at QEERI. 

 

Bachelor of Engineering with First-Class Honors in Electronic and Electrical Engineering

2017 - 2020

International Foundation year

2016 - 2017

Certificate of advanced transmission electron microscopy

2014 - 2015

Certificate of electronic circuits simulation and prototyping

2014

Certificate of introduction to materials characterization techniques

2014

Certificate of introduction to materials science and technology workshop

2014

Certificate 111 Engineering- Electrical/Electronic trade

2013

High school diploma literary section in Mathematics and Science

Doha, Qatar

2006 - 2007

Instruments Technician

Course in National Institute for Materials Science (Japan) learned about Transmission electron microscopy, Scanning Electron Microscope, Energy Dispersive Spectroscopy, Focused ion beam, and Sample preparation

2008 - 2014

  • Certificate in excellent performance for the month from RasGas company (April 2011)
     

Radee Dami Alrewaily

Research Engineer

Radee Dami Alrewaily

Research Engineer

Educational Qualifications

PhD study in Chemical Sciences

Bachelor Degree in Mechanical Engineering

Entity

Qatar Environment and Energy Research Institute

Biography

Eng. Radee Dami Alrewaily is a Research Engineer with the Water Center at Qatar Environment and Energy Research Institute (QEERI) in Doha, Qatar. Previously, he worked at Qatar Petroleum (now Qatar Energy) in the gas production sector as an operator. He received his bachelor degree of Mechanical Engineering from the University of South Wales, UK, following which he started working in Qatar Foundation from 2008. His current work projects include: - MED thermal desalination plant design and operation; - oil/water separation technology development for oil spill cleanup and produced water treatment; - AC condensate water recycling and reuse.

 

PhD study in Chemical Sciences

Dublin City University, Ireland

2022 - Present

Bachelor Degree in Mechanical Engineering

University of South Wales, UK

2008

High Diploma in Mechanical Engineering

College of North Atlantic Qatar

2015

  • Oil/water separation technology development for oil spill cleanup and produced water treatment
  • AC condensate water recycling and reuse for enhancing food and energy production
  • Thermal desalination technology development

Research Engineer

Qatar Environment and Energy Research Institute

2012 - Present

Facility Management, Transport Administrator

Qatar Foundation

2008 - 2012

Operator for Gas and Oil Production

Qatar Petroleum

2001 - 2007

Journal of Water Process Engineering, Volume 47, June 2022, 102836. https://doi.org/10.1016/j.jwpe.2022.102836

  • 2010, Thana Award, Qatar Foundation Facility Management
     
Usman Zafar

Usman Zafar

Research Associate

Usman Zafar

Research Associate

Educational Qualifications

Master's in Computer Science

Bachelor's in Electronics Engineering

Entity

Qatar Environment and Energy Research Institute

Biography

Usman Zafar is a Research Associate with the Energy Management Group at Qatar Environment and Energy Research Institute (QEERI) in Doha, Qatar. He is a certified Google Cloud Architect and also a certified Cloudera & GCP certified Data Engineer with broad experience in Machine learning, Natural Language Processing (NLP) and Speech (Speaker Diarization) as demonstrated by his coursework experience and multiple publications in leading journals/conferences.  He is also well versed in modern neural architectures and adept in techniques that make use of pre-trained models such as transfer learning that are essential for companies with small datasets. While he has worked a lot in machine learning, he believes it would have been impossible to train huge datasets without the required data engineering skills, which he attained through practical work on Hadoop, Spark and Google Cloud, and by completing relevant Google Cloud and Cloudera certifications. Mr. Zafar has worked on technologies such as BigQuery, Dataflow, Dataproc, Spark etc. and has the skillset to handle data of any size. As an organized, detail-oriented person with strong communication skills, he believes one of his primary strengths is his ability to learn new technologies quickly and effectively. At QEERI, he works on designing software systems for IOT use-cases, machine learning for energy disaggregation and forecasting energy demand and optimization of locations for maximum demand where demand can be defined by the end-user. Prior to working at QEERI, he has worked at many other places including Schneider Electric and Texas A&M University. 

 

Master's in Computer Science

Lahore University of Management Sciences, Lahore

2014 - 2016

Bachelor's in Electronics Engineering

National University of Science and Technology, Islamabad

2006 - 2010

  • AI for Energy Management
  • AI for Demand Forecasting
  • AI for Energy Disaggregation

Research Engineer

Qatar Environment & Energy Research Institute (QEERI), Doha

2019 - Present

Research Associate

Texas A&M University, Doha

2017 - 2018

Data Scientist

ADDO AI, Lahore

2017 - 2018

Teaching Assistant

Lahore University of Management Sciences (LUMS), Lahore

2016 - 2017

EIB/KNX Engineer

Schneider Electric, Riyadh

2013 - 2014

Technical Engineer

Saudi Electronic Trading co. (SETRA), Riyadh

2012 - 2013

2020 28th European Signal Processing Conference (EUSIPCO), 1590-1594 5

IEEE access 8, 119271-119286 39

IEEE Transactions on Smart Grid 12 (3), 2675-2684 21

IEEE Journal of Selected Topics in Signal Processing 14 (2), 400-412 20

arXiv preprint arXiv:1712.09518 6

A GIS-based optimal facility location framework for fast electric vehicle charging stations

Available at SSRN 4106122

  • I was on the Dean's list for obtaining an outstanding GPA in my masters.
     

Muhammad Anwar

Scientist

Muhammad Anwar

Scientist

Educational Qualifications

Doctor of Philosophy (DPhil)

Master of Science (MSc)

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Anwar is a Scientist at Qatar Energy and Environment Research Institute (QEERI). He has more than 15 years of R&D experience in catalysis science, organic synthesis, and synthetic methodology development both in industry and academia. He received his DPhil in Synthetic Organic Chemistry from Dyson Perrins Laboratory, Department of Chemistry, University of Oxford, under Professor Mark Moloney. Later he worked with Professor Sir Jack Baldwin FRS at University of Oxford on various industrial projects related to catalytic methodology development, synthesis of bioactive compounds for pharmaceuticals, biomimetic and total synthesis, reaction cascade catalysis, retrosynthetic analysis. He has huge industrial research experience working for Roche (F. Hoffmann-La Roche Ltd.), Pfizer UK), Galapagos (France), and Tocris Bioscience. His research expertise spans topics in Catalysis Science, Target & Diversity Oriented Synthesis, Asymmetric Catalysis, CO2 valorization, Molecular Building Block Design, Reaction Scale-Up, Retrosynthetic Methodologies, Total Synthesis, Reaction Engineering, Drug Discovery, Pharmaceutical Science, Polymerization Chemistry, Circular Chemical Economy, and Fine Chemical Industry. He is also an active member of Royal Society of Chemistry (RSC), Society of Chemical Industry (CSI) and American Chemical Society (ACS). 
 

Doctor of Philosophy (DPhil)

University of Oxford; Oxford, UK

2006

Master of Science (MSc)

University of the Punjab; Pakistan

2000

  • Catalysis and Reaction Engineering
  • Synthetic Methodology Development
  • Retrosynthetic Methodologies
  • Target & Diversity Oriented Synthesis
  • CO2 valorization
  • Circular Chemical Economy
  • Polymer Chemistry
  • Drug Design and Discovery

Scientist

Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University

2016 - Present

Synthetic Organic Chemist

Tocris Bioscience; UK

2015 - 2016

Consultant

Oxford CanCat LCC; Canada

2013 - 2014

Senior Research Fellow

University of Oxford; Oxford, UK

2009 - 2013

Postdoctoral Research Fellow

University of Oxford; Oxford, UK

2006 - 2009

Silicon-Enriched Nickel Nanoparticles for Hydrogenation of N-Heterocycles in Aqueous Media; ACS Appl. Nano Mater. 2022, 5 (4), 5625–5630.

A Convenient and Stable Heterogeneous Nickel Catalyst for Hydrodehalogenation of Aryl Halides Using Molecular Hydrogen. ChemSusChem 2022, 15(5), e202102315.

From Mobile Phones to Catalysts: E‑Waste-Derived Heterogeneous. ACS Sustainable Chem. Eng. 2021, 9, 30, 10062–10072.

A State-of-the-Art Heterogeneous Catalyst for Efficient and General Nitrile Hydrogenation. Chem. Eur. J. 2020, 26 (67), 15589-15595.

Cobalt Single-Atom Catalysts with High Stability for Selective Dehydrogenation of Formic Acid. Angew. Chem. Int. Ed. 2020, 59, 15849-15854.

  • 2004: Aylmer St. Peter’s College Research Award, St. Peter’s College, Oxford
  • 2002: Aylmer St. Peter’s College Research Award, St. Peter’s College, Oxford
     
Odi Alrebei

Dr. Odi Alrebei

Scientist

Dr. Odi Alrebei

Scientist

Educational Qualifications

PhD

MSc

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Odi Alrebei has been the Head of the Aeronautical Engineering department and the Assistant Dean for R&D Affairs at Queen Noor Civil Aviation College. Dr. Alrebei has also been an Assistant Professor (Mechanical Engineering Department) in the American University-Jordan. His current research work is with Cambridge University, Oxford University and Qatar Foundation. Dr. Alrebei received his PhD in Engineering from Cardiff University, UK and his MSc from Queen Mary University of London, UK.
 

PhD

Cardiff University; (Cardiff, UK)

2019

MSc

Queen Mary University of London; (London, UK)

2017

  • Carbon Capture and Storage
  • Hydrogen Energy
  • Chemical Processing
  • Sustainability
  • Renewable Energy
  • Food-Water-Energy Nexus
  • Air quality and thermal comfort

Assistant Dean of R&D Affairs

Queen Noor College

2021 - 2022

Chairman of Department

The Aircraft Maintenance Engineering Department; Queen Noor College

2021 - 2022

Assistant Professor

Mechanical Engineering Department; The American University, Jordan

2020 - 2021

Module Demonstrator

Engineering School; Cardiff University

2018 - 2019

"Ammonia-hydrogen-air gas turbine cycle and control analyses." International Journal of Hydrogen Energy 47, no. 13 (2022): 8603-8620.

"Numerical investigation of a first-stage stator turbine blade subjected to NH3-H2/air combustion flue gases", International Journal of Hydrogen Energy, (2022)

"Lightweight methane-air gas turbine controller and simulator." Energy Conversion and Management: X 15 (2022): 100242.

"State of the art in separation processes for alternative working fluids in clean and efficient power generation." Separations 9, no. 1 (2022): 14.

"Ammonia Production Plants—A Review." Fuels 3, no. 3 (2022): 408-435.

"Planar laser-induced fluorescence and chemiluminescence analyses of CO2-argon-steam oxyfuel (CARSOXY) combustion." Energies 15, no. 1 (2021): 263.

"CO2-Argon-Steam Oxy-Fuel production for (CARSOXY) gas turbines." Energies 12, no. 18 (2019): 3580.

  • 2021; Cambridge University Supported Lead Principle Investigator Applicant (Transforming Systems Through Partnership (TSP) Award 20/21; Cambridge University; (Cambridge, UK).
  • 2019; Received fund in the PhD degree; Flexible Integrated Energy Systems (FLEXIS), the Welsh European Funding Office (WEFO); (Cardiff, UK).

Dhanup Somasekharan Pillai

Scientist

Dhanup Somasekharan Pillai

Scientist

Educational Qualifications

Doctor of Philosophy

Master of Engineering

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Pillai is an Electrical Engineer by profession, with a master's degree in Power Electronics and Drives, and a PhD degree in Photovoltaic (PV) Systems. He is currently a Scientist with the Energy Conversion (ENECON) Program at the Energy Center of QEERI. With QEERI, Dr. Pillai works on various projects and activities related to the testing, standardization, and reliability of photovoltaic modules in desert climates. Dr. Pillai is also actively involved in module as well as system level reliability studies and performance assessments of various PV technologies. Dr. Pillai is an inventor of a patent and author of 24 scientific articles published in top-tier international journals (Q1) and conferences, majority of which are high impact factor IEEE transactions, IEEE, and Elsevier journals. Since 2018, Dr. Pillai is also a member of the Institute of Electrical and Electronic Engineers (IEEE). 

 

Doctor of Philosophy

Vellore Institute of Technology (VIT); India

2018

Master of Engineering

Anna University; India

2015

Bachelor of Technology

Mahatma Gandhi University; India

2010

Scientist

Qatar Environment and Energy Research Institute (QEERI); HBKU-Qatar

2022 - Present

Research Fellow

Solar Energy Research Institute of Singapore (SERIS); National University of Singapore (NUS)

2020 - 2022

Research Fellow

Nanyang Technological University (NTU) - Singapore

2019 - 2020

Postdoctoral Researcher

Vellore Institute of Technology (VIT) - India

2019

Research Associate

Vellore Institute of Technology (VIT) - India

2016 - 2019

A simple, reliable and adaptive approach to estimate photovoltaic parameters using spotted hyena optimization: A framework intelligent to predict photovoltaic parameters for any meteorological change. Solar Energy. 2022 Apr 1;236:480-98.

A New Minimal Relocation Framework for Shade Mitigation in Photovoltaic Installations Using Flower Pollination Algorithm. IEEE Journal of Photovoltaics. 2022 Mar 23;12(3):888-97.

A comprehensive review on building integrated photovoltaic systems: Emphasis to technological advancements, outdoor testing, and predictive maintenance. Renewable and Sustainable Energy Reviews. 2022 Mar 1;156:111946.

Parameter Estimation of Organic Photovoltaic Cells–A Three-Diode Approach Using Wind-Driven Optimization Algorithm. IEEE Journal of Photovoltaics. 2021 Dec 13;12(1):327-36.

Evaluation of in-situ thermal transmittance of innovative building integrated photovoltaic modules: Application to thermal performance assessment for green mark certification in the tropics. Energy. 2021 Nov 15;235:121316.

A new shade dispersion technique compatible for symmetrical and unsymmetrical photovoltaic (PV) arrays. Energy. 2021 Jun 15;225:120241.

Identification and localization of array faults with optimized placement of voltage sensors in a PV system. IEEE Transactions on Industrial Electronics. 2020 Jun 4;68(7):5921-31.

Performance enhancement of solar PV systems applying P&O assisted Flower Pollination Algorithm (FPA). Solar Energy. 2020 Mar 15;199:214-29.

An accurate, shade detection-based hybrid maximum power point tracking approach for PV systems. IEEE Transactions on Power Electronics. 2019 Nov 13;35(6):6594-608.

Extended analysis on line-line and line-ground faults in PV arrays and a compatibility study on latest NEC protection standards. Energy conversion and management. 2019 Sep 15;196:988-1001.

A compatibility analysis on NEC, IEC, and UL standards for protection against line–line and line–ground faults in PV arrays. IEEE Journal of Photovoltaics. 2019 Mar 12;9(3):864-71.

A comparative evaluation of advanced fault detection approaches for PV systems. IEEE Journal of Photovoltaics. 2019 Jan 24;9(2):513-27.

Detection and identification of global maximum power point operation in solar PV applications using a hybrid ELPSO-P&O tracking technique. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2019 Feb 22;8(2):1361-74.

Enhanced power production in PV arrays using a new skyscraper puzzle based one-time reconfiguration procedure under partial shade conditions (PSCs). Solar Energy. 2019 Dec 1;194:209-24.

An MPPT-based sensorless line–line and line–ground fault detection technique for PV systems. IEEE Transactions on Power Electronics. 2018 Nov 30;34(9):8646-59.

Design and testing of two phase array reconfiguration procedure for maximizing power in solar PV systems under partial shade conditions (PSC). Energy conversion and management. 2018 Dec 15;178:92-110.

A comprehensive review on protection challenges and fault diagnosis in PV systems. Renewable and Sustainable Energy Reviews. 2018 Aug 1;91:18-40.

A simple, sensorless and fixed reconfiguration scheme for maximum power enhancement in PV systems. Energy conversion and management. 2018 Sep 15;172:402-17.

Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems. Renewable and Sustainable Energy Reviews. 2018 Feb 1;82:3503-25.

Analysis on solar PV emulators: A review. Renewable and Sustainable Energy Reviews. 2018 Jan 1;81:149-60.

  • 2020; Finalist - Director’s Postdoctoral Fellowship Award; National Renewable Energy Laboratory (NREL); USA
     
Shamjad Moosakutty

Dr. Shamjad Moosakutty

Scientist

Dr. Shamjad Moosakutty

Scientist

Educational Qualifications

Ph.D

M.Tech

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Shamjad P. Moosakutty is a Scientist at the Environment and Sustainability Center at the Qatar Environment and Energy Research Institute (QEERI). His primary research is on the field measurement of air pollution and understanding its health and climate impacts. 

He received his Ph.D. in Atmospheric Science from the Indian Institute of Technology, Kanpur, India. During his first postdoctoral fellowship at Aarhus University, Denmark, he studied the lab-generated aerosols from gas-to-particle conversion in an enclosed chamber. His second postdoc at KAUST, Saudi Arabia, was focused on low-carbon fuel combustion and characterization. 

At QEERI, Shamjad is working to understand the overall air quality in the greater Doha area by measuring its properties continuously. He operates air quality monitoring instruments and develops software tools for data analysis and interpretation. 
 

Ph.D

Indian Institute of Technology; Kanpur; India.

2017

M.Tech

Indian Institute of Technology; Kanpur; India.

2011

B.Tech

Mahatma Gandhi University; Kottayam; Kerala; India.

2008

  • Air pollution and atmospheric chemistry
  • Aerosol instrumentation
  • Climate change
  • Source apportionment
  • Impacts of weather events on local climate
  • Oxidative potential of particulate matter

Postdoc

Clean Combustion Research Center; King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2019 - 2021

Postdoc

Department of Chemistry; Aarhus University; Aarhus; Denmark

2017 - 2019

Absorbing Refractive Index and Direct Radiative Forcing of Atmospheric Brown Carbon over Gangetic Plain. ACS Earth and Space Chemistry, 2018.

Refractive Index and Absorption Attribution of Highly Absorbing Brown Carbon Aerosols from an Urban Indian City-Kanpur. Scientific Reports, 2016.

Contribution of Brown Carbon to Direct Radiative Forcing over the Indo-Gangetic Plain. Environmental Science & Technology, 2015.

Comparison of Experimental and Modeled Absorption Enhancement by Black Carbon (BC) Cored Polydisperse Aerosols under Hygroscopic Conditions. Environmental Science & Technology, 2012.

  • 2017; Grant from Aarhus University Research Foundation for research startup; Aarhus University; Aarhus; Denmark.
  • 2011; Scholarship from Ministry of Human Resources and Development-India during Ph.D.
  • 2012; Best paper award during Indian Atmospheric Science and Technology Association (IASTA) conference in Bombay, India.
  • 2009; Scholarship from Ministry of Human Resources and Development-India during M.Tech.
Sachin Jain

Sachin Jain

Research Associate

Sachin Jain

Research Associate

Educational Qualifications

Master in Remote sensing and GIS

Entity

Qatar Environment and Energy Research Institute

Biography

Eng. Sachin Jain received his MTech degree in Remote Sensing and GIS with specialization in Atmospheric Sciences in 2019 from the Indian Institute of Remote Sensing, Andhra University, India. He is working as a Research Associate at Qatar Environmental and Energy Research Institute. His research work includes mapping of solar radiation and wind data for Qatar, using ground and satellite data, in support of the solar resource and wind assessment project in QEERI. 
 

Master in Remote sensing and GIS

Indian Institute of Remote Sensing, ISRO, Andhra University; Dehradun, India

2019

  • Solar Radiation Resource Assessment
  • Solar Radiation Forecasting
  • Wind Potential Mapping
  • NWP Models

Research Associate

QEERI, Qatar Foundation

2020 - 2022

A Flexible and Effective Method to Integrate the Satellite-Based AOD Data into WRF-Solar Model for GHI Simulation.; Journal of the Indian Society of Remote Sensing - Springer (2021).; https://doi.org/10.1007/s12524-021-01425-3

  • Awarded Scholarship for MTech by CSSTEAP, U.N