Mr. Foad Zahedi | Digital Twin Awards | Best Researcher Award

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Mr. Foad Zahedi | Digital Twin Awards | Best Researcher Award 

Mr. Foad Zahedi, Washington State University, Iran

Foad Zahedi is a seasoned Procurement Director with over 18 years of comprehensive experience in procurement management, technical management, and contract management across a diverse range of projects, including multipurpose complexes, dams, roads, tunnels, and industrial structures. Based in Tehran, Iran, he has successfully led procurement and purchase engineering efforts to ensure optimal logistics, quality, and cost-effectiveness. Foad’s expertise encompasses tender management, contract oversight, and project management, where he skillfully navigates the complexities of EPC, PC, and E projects from both the employer and contractor perspectives. He holds a Master’s degree in Civil Engineering (Construction Management) and another Master’s in Civil Engineering (Marine Structures Engineering) from Islamic Azad University, along with a Bachelor’s degree in Civil Engineering. A certified Project Management Professional (PMP) and a Professional Engineer, Foad is proficient in areas such as cost estimation, value engineering, and building information modeling. His strategic insights and consultancy roles for boards and CEOs have been pivotal in aligning project goals with organizational objectives.

Professional Profile:

GOOGLE SCHOLAR

Research for Best Researcher Award – Foad Zahedi

Profile Overview: Foad Zahedi has over 18 years of extensive experience in procurement and project management across a variety of large-scale civil engineering projects, including multipurpose complexes, dams, and tunnels. His diverse skill set encompasses technical management, contract management, and procurement engineering, showcasing his ability to lead complex projects effectively.

Education 🎓

  • M.S. Civil Engineering (Construction Management)
    Islamic Azad University of Central Tehran Branch, Tehran, IR
    GPA: 3.53 | Year: 2020
  • M.S. Civil Engineering (Marine Structures Engineering)
    Islamic Azad University of Science and Research Branch, Tehran, IR
    GPA: 3.72 | Year: 2016
  • B.S. Civil Engineering
    Islamic Azad University of Shahr-e-kord Branch, Shahrekord, IR
    Year: 2004

Work Experience 💼

  • Procurement Director
    Iran Mall, Tehran, Iran
    Years: 20XX – Present

    • Led procurement and purchase engineering management for various complex projects, ensuring high quality and timely logistics support.
    • Managed the technical office, handling invoices, quantity surveying, and as-built drawings in EPC, PC, and E projects.
    • Conducted national and international tenders, preparing comprehensive technical and financial submissions.
    • Oversaw contract management in diverse roles (Employer, Contractor, Consultant) for EPC, PC, and E projects.
    • Provided consultancy to boards and CEOs, developing strategic plans to achieve project goals.

Achievements 🌟

  • Successfully managed procurement for multiple large-scale projects, including multipurpose complexes, dams, and industrial structures.
  • Developed effective strategies for cost estimation and value engineering, resulting in significant savings for projects.
  • Implemented advanced Building Information Modelling (BIM) and soil-structure interaction modelling techniques to enhance project outcomes.

Awards and Honors 🏆

  • Project Management Professional (PMP)
    Licensure #: 3203610 | Year: 2022
  • Professional Engineer (Grade 2: Supervision)
    Licensure #: 17-31-12174 | Year: 2014
  • Professional Engineer (Grade 1: Construction)

Publication Top Notes:

Global BIM Adoption Movements and Challenges: An Extensive Literature Review
Development of a BIM Implementation Roadmap: The Case of Iran
Robot-BIM integration for underground canals life-cycle management
Digital Twins in the Sustainable Construction Industry
BIM Implementation for PMBOK Enhancement in the Construction Industry

Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award

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Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award 

Mr. Shiraz Kaderuppan, Newcastle University, Singapore

Shiraz is a Singaporean educator and data analytics enthusiast with extensive experience in enhancing deep neural network (DNN) architectures for feature recognition and extraction in image processing applications. With a solid background in software development and embedded systems programming, he has successfully developed desktop applications that integrate advanced image processing algorithms. Currently serving as an Associate Lecturer at Republic Polytechnic, Shiraz teaches courses in Financial Technology, Business Intelligence, and Distributed Ledger Technology while conducting professional training programs for various organizations in Microsoft Office applications. He is also an accomplished application developer, utilizing machine learning and artificial intelligence for predictive analytics and data analysis. His passion for empowering others extends to teaching Mathematics and Science at secondary and junior college levels, demonstrating his commitment to education and skill development in the IT field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: 

Shiraz S/O Kaderuppan stands out as a highly suitable candidate for the Best Researcher Award due to his extensive experience and impressive contributions to the field of data analytics and deep learning, particularly in image processing applications. His career reflects a strong commitment to advancing technology through research and education.

Education 🎓

  • Republic Polytechnic
    Diploma in Financial Technology, Business Intelligence & Distributed Ledger Technology
    Mar 2023 – Present

Work Experience 💼

  • Associate Lecturer
    Republic Polytechnic
    Mar 2023 – Present

    • Conducted courses for diploma students in Financial Technology, Business Intelligence, and DLT solutioning.
  • Corporate Trainer
    Self-Employed
    Jul 2014 – Present

    • Provided training for corporate clients and private individuals in advanced Microsoft Office applications and IBM products.
  • Application Developer
    Self-Employed
    May 2012 – Present

    • Developed desktop applications using C# .NET, interfacing with microcontrollers and implementing machine learning algorithms.
  • ML/AI Developer
    Self-Employed
    Sep 2008 – Present

    • Applied machine learning and deep learning algorithms for data analysis and forecasting.
  • Educator
    Self-Employed
    Aug 2010 – Present

    • Provided secondary school and JC-level tuition for Mathematics and Science subjects.
  • General Education Officer (Teacher)
    Ministry of Education
    Sep 2007 – Jan 2009

    • Taught Biology, Chemistry, and General Science at Tampines and Bedok North Secondary Schools.
  • Founder & Business Development Manager
    Self-Employed
    Jan 2005 – Jun 2007

    • Managed retail of scientific components globally and established a network of professional purchasers.

Achievements 🌟

  • Successfully conducted numerous training programs for companies and government bodies, focusing on advanced features of Microsoft Office for business intelligence and data analysis.
  • Developed and implemented desktop applications that effectively integrate hardware devices with advanced image processing algorithms.
  • Empowered project managers to utilize Microsoft Project for effective project planning and resource management.

Awards & Honors 🏆

  • Recognized for excellence in teaching and training methodologies at Republic Polytechnic and in corporate training programs.
  • Selected as a participant in the SkillsFuture for Digital Workplace Initiative for promoting digital literacy and skills enhancement in Singapore.

Publication Top Notes:

Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico

O-Net: A Fast and Precise Deep-Learning Architecture for Computational Super-Resolved Phase-Modulated Optical Microscopy

Smart Nanoscopy: A Review of Computational Approaches to Achieve Super-Resolved Optical Microscopy

Dr. Nicoletta Bianchini | Analysis Awards | Women Researcher Award

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Dr. Nicoletta Bianchini | Analysis Awards | Women Researcher Award 

Dr. Nicoletta Bianchini, University of West London, United Kingdom

Nicoletta Bianchini is a dedicated PhD candidate in Civil Engineering, specializing in Seismic Engineering, with a robust background as an architect and bridge engineer. She holds a PhD from the University of Minho in Portugal, where her research focused on the seismic response of masonry cross vaults, utilizing shaking table tests and numerical analysis. Her academic journey includes an M.Sc. in Structural Analysis of Historic Constructions from the same institution, complemented by her previous studies in Building Engineering – Architecture at the University of Genoa, Italy.

Professional Profile:

ORCID

Summary of Suitability for Women Researcher Award

Overview: Dr. Nicoletta Bianchini is an accomplished researcher and engineer in the field of civil engineering, with a specific focus on seismic engineering and the preservation of historical structures. Her extensive educational background and diverse research experience make her a suitable candidate for the Research for Women Researcher Award.

Education

  1. University of Minho, Guimarães, Portugal
    • PhD Candidate in Seismic Engineering (Historic Masonry Structure group)
      • Dates: January 2019 – July 2023
      • Thesis: Evaluation of the seismic response of masonry cross vaults through shaking table tests and numerical analysis.
      • Advisors: Prof. Paulo Lourenço and Dr. Nuno Mendes
    • M.Sc. in Structural Analysis of Historic Constructions
      • Dates: September 2017 – July 2018
      • Final Grade: 19/20
      • Integrated Project: Carmo Convent in Lisbon: in situ inspection, structural analysis, and retrofitting.
      • Thesis: Conserving the Bagan (Myanmar) built heritage: Structural assessment of the Loka-Hteik-Pan Temple.
      • Advisor: Dr. Nuno Mendes
  2. Sapienza University, Rome, Italy
    • Structural Design from Empirical Tradition
      • Date: June 2017
      • Lectures by: Prof. T. Boothby (Pennsylvania State University)
  3. University of Genoa, Genoa, Italy
    • M.Sc. in Building Engineering – Architecture
      • Dates: September 2011 – March 2016
      • Thesis: From observed damage to vulnerability curves for masonry buildings: the case of L’Aquila 2009 earthquake.
      • Advisors: Prof. Sergio Lagomarsino, Prof. Serena Cattari, Dr. Daria Ottonelli

Work Experience

  1. AtkinsRéalis, Epsom, England
    • Position: Structural Engineer in Bridges & Civils Department
    • Dates: September 2023 – Present
    • Responsibilities:
      • Design bearing replacement schemes.
      • Assessment of existing masonry bridges and planning their strengthening interventions, as well as conducting in-situ tests.
      • Collaboration with colleagues, stakeholders, and clients.
  2. RELUIS, Rome and Central Italy
    • Position: Structural Engineer
    • Dates: October 2016 – June 2017
    • Responsibilities:
      • Conducted post-earthquake in situ surveys of monumental and historic buildings (e.g., churches, palaces) and strategic buildings (e.g., hospitals, schools) as part of state of emergency efforts across Central Italy.
      • Assessed the condition of damaged structures and the level of risk for people and surroundings.
      • Provided instructions to the Fire Department regarding provisional structural works to ensure a minimum level of safety.
      • Surveyed listed archaeological sites and monuments in Rome (e.g., Terme Caracalla, Santa Maria in Trastevere, Santa Maria del Popolo) to assess their damage and vulnerability.

Publication top Notes:

Shake-Table Testing of a Brick Masonry Groin Vault: Overview of Blind Predictions and Postdictions and Comparison with Experimental Results

Influence of wall-to-floor connections and pounding on pre- and post-diction simulations of a masonry building aggregate tested on a shaking table

Simulation of blind pre-diction and post-diction shaking table tests on a masonry building aggregate using a continuum modelling approach

Preservation and Protection of Cultural Heritage: Vibration Monitoring and Seismic Vulnerability of the Ruins of Carmo Convent (Lisbon)

Modelling of the Dynamic Response of a Full-Scale Masonry Groin Vault: Unstrengthened and Strengthened with Textile-Reinforced Mortar (TRM)

Prof Dr. Naoufal Lakhssassi | Prediction Award | Best Researcher Award

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Prof Dr. Naoufal Lakhssassi | Prediction Award | Best Researcher Award

Prof Dr. Naoufal Lakhssassi, Hampton University, United States 

Dr. Naoufal Lakhssassi is an Assistant Professor at the School of Biological Sciences, Hampton University, where he leverages his expertise in plant genetics and genomics to enhance crop resistance and seed quality. With a Ph.D. in Cell and Molecular Biology from the University of Malaga, Spain, and a background in biomolecular engineering and microbiology, Dr. Lakhssassi has a distinguished career in plant research. His work has been recognized with several awards, including the Inventor of the Year Award from Southern Illinois University. His research focuses on developing soybean varieties with improved disease resistance and nutritional content. Dr. Lakhssassi holds multiple patents related to soybean genetics and has secured significant funding from agencies like the United Soybean Board and USDA-NIFA for projects aimed at advancing agricultural biotechnology.

Professional Profile:

 

Summary

Dr. Naoufal Lakhssassi’s innovative research, significant patents, successful grant applications, prestigious awards, and robust teaching background make him an excellent candidate for the Best Researcher Award. His contributions to plant genetics and biotechnology align with the criteria typically considered for such an award, showcasing both depth and breadth in his field.

Education

  • PhD in Cell and Molecular Biology, Plant Genetics, and Genomics
    Department of Biochemistry and Molecular Biology, University of Malaga (UMA), Spain
    2007-2011
    Grade: Excellent (Cum-Laude)
  • Master in Biomolecular Engineering and Microbiology
    Department of Microbiology, Biochemistry and Molecular Biology, University of Malaga (UMA), Spain
    2008-2010
  • Diploma of Advanced Studies (Doctorado) in Cell and Molecular Fundamentals of Living Creatures
    Department of Microbiology, Plant Pathology, and Plant-Pathogen Interaction, University of Malaga (UMA), Spain
    2005-2007
  • Bachelor Degree in Biotechnology
    Department of Biology, Abdelmalek Essaâdi University (UAE), Tangier, Morocco
    2001-2005

Work Experience

  • Associate Scientist
    Southern Illinois University (SIU), Carbondale
    Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
    May 2018 – Present
  • Research Assistant
    Southern Illinois University (SIU), Carbondale
    Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
    January 2018 – May 2018
  • Post-Doctoral Associate
    Southern Illinois University (SIU), Carbondale

    • Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
      October 2012 – March 2016
    • Department of Environmental and Civil Engineering, College of Engineering
      April 2016 – September 2016
    • Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
      October 2016 – September 2017

Publication top Notes:

Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN

Potential of Sorghum Seeds in Alleviating Hyperglycemia, Oxidative Stress, and Glycation Damage

Genomic Regions and Candidate Genes for Seed Iron and Seed Zinc Accumulation Identified in the Soybean ‘Forrest’ by ‘Williams 82’ RIL Population

Soybean gene co-expression network analysis identifies two co-regulated gene modules associated with nodule formation and development

Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage