Omar Otoom | Structural Engineering

Posted on by Best Paper Awards
Dr. Omar Otoom: Leading Researcher in Structural Engineering

🎉 Congratulations Dr. Omar Otoom on Winning the Best Researcher Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

🎓 Education:

  • Ph.D. in Civil Engineering
    University of Southern Queensland, August 2022, QLD, Australia
  • M.Eng. Studies in Structural Engineering
    University of Sydney, August 2009, NSW, Australia
  • M.Eng. Science in Construction Management
    University of New South Wales, October 2003, NSW, Australia
  • B.Sc. in Civil Engineering (Structural)
    Jordan University of Science and Technology, June 2000

Professional Profile:

🎯 Summary: Skilled in enhancing research with accuracy and precision. Dedicated to executing protocols to meet study objectives and requirements. Looking to establish myself in a position where I can demonstrate my initiative, problem-solving skills, and creativity to the best of my abilities. I believe that my skills, which include a calm demeanor and strong communication, will enable me to be successful.

 Experience:

Structural Design Engineer
Hychem Infrastructure Solutions, Brisbane, Australia
February 2023 – Present

  • Executed Material Take Off Orders for accurate project material estimates.
  • Developed Excel design calculation packages for FRP wrapping systems.
  • Communicated with engineers to acquire professional expertise.

Ph.D. Candidate
University of Southern Queensland, Brisbane, Australia
February 2019 – June 2022

  • Thesis Title: Behavior of circular columns strengthened by glass fibre reinforced polymer wrapping system
  • Investigated flexural behavior of reinforced concrete and timber columns.
  • Developed finite element models using ABAQUS software.
  • Conducted parametric studies on axial and flexural behavior.

University Lecturer
Fahad Bin Sultan University, Tabuk, Saudi Arabia
September 2012 – September 2018

  • Taught courses in Construction Management, Engineering Economy, and more.
  • Utilized e-learning systems for course management.

Jerash Private University, Jerash, Jordan
February 2011 – September 2012

  • Taught courses in Construction Materials, Dynamics, and more.
  • Developed curriculum and course materials.

Project Manager
Gulf Engineering House, Riyadh, Saudi Arabia
January 2010 – October 2010

  • Reviewed design plans, prepared engineering reports.
  • Conducted on-site inspections.
  • Managed project updates and resource allocation.

Project Engineer and Supervisor
Ali Atoum for Engineering Consultations, Amman, Jordan
June 2000 – June 2002

  • Prepared construction plans and schedules.
  • Supervised multi-personnel operations.

💼 Skills:

  • Proficient in Microsoft Office, ABAQUS, Strand7, AutoCAD.
  • Strong presentation, communication, and teamwork skills.

📚 Publication Top Noted:

  • Flexural behaviour of circular reinforced concrete columns strengthened by GFRP wrapping system
  • Flexural behaviour of circular timber columns strengthened by GFRP wrapping system
  • Experimental and numerical evaluation of the compression behaviour of GFRP wrapped infill materials
  • Experimental and numerical analysis on the effectiveness of GFRP wrapping system on timber pile rehabilitation

 

Md Moklesur Rahman | Hydrogeology

Posted on by Best Paper Awards
Prof. Md Moklesur Rahman: Leading Researcher in Hydrogeology

🎉 Congratulations Prof. Md Moklesur Rahman on Winning the Most Reader’s Article Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Prof. Md Moklesur Rahman is a distinguished researcher in hydrogeology, recognized for his significant contributions and leadership in the field. He holds a Ph.D. in Geology from the University of Chinese Academy of Sciences, China, earned in 2017, showcasing his commitment to academic excellence. Dr. Rahman’s educational journey includes an MS thesis at KTH, Sweden (2010), an MS in Geology from the University of Dhaka, Bangladesh (2005), and a Bachelor of Science (B.Sc) in Geology from the University of Dhaka, Bangladesh (2004).

Currently serving as a Professor in the Department of Petroleum and Mining Engineering at Jashore University of Science and Technology, Bangladesh, Dr. Rahman has held various academic positions, including Associate Professor and Assistant Professor. His extensive academic and research experience includes a Postdoctoral Fellowship in Seismology at the Institute of Tibetan Plateau Research, University of Chinese Academy of Sciences, Beijing, China.

EDUCATION:

  • PhD in Geology, University of Chinese Academy of Sciences, China (2017).
  • MS thesis at KTH, Sweden (2010).
  • MS in Geology, University of Dhaka, Bangladesh (2005).
  • Bachelor of Science (B.Sc) in Geology, University of Dhaka, Bangladesh (2004).

Professional Profile:

Publication Top Noted: 

  • Drinking water quality assessment based on index values incorporating WHO guidelines and Bangladesh standards
  • Petrophysical properties assessment using wireline logs data at well#3 of Srikail gas field, Bangladesh
  • Seismic Hazard Analysis for the South-Central Coastal Region of Bangladesh Considering the Worst-Case Scenario
  • Application of combined drought index to assess meteorological drought in the south western region of Bangladesh
  • Probabilistic Seismic Hazard Assessment for Himalayan–Tibetan Region from Historical and Instrumental Earthquake Catalogs

RESEARCH Focus: Natural hazards assessment, seismic hazard assessment, seismic source characterization, Vs30 determination using in situ methods; climate-induced hazards (drought, sea water intrusion, etc.) assessment.

COLLABORATION WORKS WITH INTERNATIONAL TEAMS:

  1. International team on the study of crustal and mantle structure beneath the Himalayan Orogeny belt and its shallow response.
  2. MELBU: More entrepreneurial life in Bangladeshi Universities (Capacity building project).
  3. SASMIT (Sustainable Arsenic Mitigation) Project, a Swedish Sida funded Research cum Implementation Project.
  4. Sub-Project (CP-309) on “Seawater Intrusion and Presence of Radioactive Heavy Minerals in the Groundwater Aquifer at Hotel-Motel Zone of Cox’s Bazar Paleobeach Area.”

STUDENTS’ THESIS/PROJECT WORK SUPERVISION:

  • Undergraduate level: 22; Master level: 7
  • Postgraduate level: 1 (M.Phil); PhD level: 1

FIELD EXPERIENCES:

  • Experienced in operating the Mc-Ohm and SARIS Resistivity Meters for Geophysical Resistivity Soundings Survey.
  • Skilled in operating a variety of laboratory equipment for groundwater sampling.

SCHOLARSHIP AWARDED:

  • Postdoctoral Fellow: CAS President’s International Fellowship Initiative (PIFI) in ITPCAS, Beijing, China (2019-2021).
  • PhD fellowship: CAS-TWAS President Fellowship 2014-15 at ITPCAS, Beijing, China (2014-2017).
  • Linnaeus-Palme academic exchange Scholarship (KTH, Sweden), 2009.
  • ‘Merit Scholarship’ from Dhaka University at undergraduate and postgraduate levels.

PROFESSIONAL TRAININGS/ COURSE WORKS:

  • International Training course on seismology, seismic data analysis, hazard assessment, and risk mitigation.
  • Summer School on Entrepreneurship organized by the MELBU (hosted by the Leipzig University, Germany and Maritime University Poland).
  • International training on science diplomacy, 2020 organized by AAAS-TWAS.
  • Capacity building on higher education teachers of Bangladesh on using and creating open education resources.

PROFESSIONAL AFFILIATION:

  • Member, Bangladesh Geological Society
  • Asia Oceania Geosciences Society (AOGS)
  • Japan Geoscience Union

COUNTRY OF WORK EXPERIENCE AND VISITED:

  • Bangladesh
  • China
  • Myanmar
  • Sweden
  • Norway
  • Finland
  • Germany
  • Poland

CO-CURRICULUM ACTIVITIES:

  • Advisor- Research Cell (Publication division) Jashore University of Science and Technology, Bangladesh (Since 2019).
  • Student Advisor and Course Coordinator: Second Year of B.Sc (hons.) students of Petroleum and Mining Engineering Department, JUST.
  • Chairman of the Examination committee for the Second Year of B.Sc (hons.) students of Petroleum and Mining Engineering Department, JUST.
  • Member of the Examination committee for the first Year of B.Sc (hons.) students of Petroleum and Mining Engineering Department, JUST.

Gayan KIncy Kulatilleke | Machine learning

Posted on by Best Paper Awards
Dr. Gayan KIncy Kulatilleke: Leading Researcher in Machine learning, AI

Dr. Gayan Kincy Kulatilleke is a distinguished researcher and expert in the field of Artificial Intelligence and Machine Learning. Holding a Ph.D. in AI, M.Sc. degrees in Big Data and Networking, and a B.Sc. in Engineering, he has garnered recognition for his outstanding contributions to the field.

As a leading academic at the University of Queensland, Brisbane, Dr. Kulatilleke serves as a Sessional Academic and Research Assistant, specializing in Computer Networks and High-Performance Computing. He also plays a pivotal role as an AI/ML Mentor for Summer and Internship Projects, showcasing his dedication to nurturing the next generation of innovators.

🎓 Education

  • PhD(AI), MSc(Big Data), MSc(Networking), BSc(Eng.), ACMA(UK), CGMA(USA), AMIE(SL)

🏆 Awards

  • Best Paper: Microsoft Award (Cybersecurity, HFES 2020)
  • Best Paper: CSIRO Award (AJCAI 2022)
  • “Global Knowledge Sharing” Award for Best Technical Publication (Virtusa 2003)
  • Runner Up: cmbHack.js 2014 (48-hour JavaScript Hackathon)
  • Multiple Australian Scholarships: UQ RTP, ARC LP for PhD

Professional Profiles:

Publication Top Noted

  • XG-BoT: An explainable deep graph neural network for botnet detection and forensics
  • HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions
  • Efficient block contrastive learning via parameter-free meta-node approximation
  • Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
  • DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection

Research Focus 

Dr. Gayan Kincy Kulatilleke’s research encompasses a broad spectrum within the realms of Artificial Intelligence (AI) and Machine Learning (ML). While specific details of his research focus might require more recent information, the provided details indicate several areas of interest and expertise:

  1. Botnet Detection and Forensics
  2. Human Factors Engineering (HFE) and Cybercrime
  3. Contrastive Learning for Efficient Block Analysis
  4. Self-Supervised Learning for Money Laundering Detection
  5. Hybrid Deep Learning for Network Anomaly Detection

💼 Work Experience

University of Queensland, Brisbane

  • Sessional Academic & Research Assistant (01/2019 – Present)
    • Lead Tutor: Computer Networks, High-Performance Computing
    • AI/ML Mentor for Summer and Internship Projects
    • Presenter: High-Performance Compute GPU Clusters, ML Pipelines

Freelance AI ML and Software Consultant/Developer, Remote (01/2006 – Present)

  • Advanced skills in C++, OS, Automation, Integration, DevOps, Cloud Management, Google Technologies, Data Engineering, Software Development, AI/ML.

Mailot – Founder CTO, Brisbane (01/2023 – 06/2023)

  • GPT-3 Productivity SaaS Startup
  • NLP and Human Inputs for Augmented Responses
  • Integration of OpenAI, Langchain, Vector Databases with Node.js on Vercel

AMZ Consulting Pty Ltd, Sydney – Consultant/Trainer (05/2023 – Present)

  • PowerBI, Modelling, DAX, Integrations

TeleMARS, Brisbane – Lead AI ML Engineer and Researcher (04/2023 – Present)

  • AI Architecture Design, AI Analytics Solution Design
  • Development and Solution Delivery Management

Space Platform, Brisbane – Head ML (06/2019 – 06/2020)

  • Privacy Preserving Query and Intent Identification Algorithms
  • Research on IOS and Android’s Randomized MAC Addresses
  • Data Engineering, ETL Operations, ML Model Design and Implementation

Capital Staffing, London – Software Developer (10/2017 – 07/2018)

  • C#, .NET MSSQL Server, DevOps, Cloud Services

Central Bank of Sri Lanka – Senior Assistant Director (05/2005 – 10/2022)

  • AI ML Big Data Initiatives
  • Data Science and Analysis Teams Coaching
  • Implementation of Strategic IT Needs
  • Surveillance, Authentication, Access Control Systems Oversight

Virtusa Corporation, Colombo – Software Engineer (R&D) (05/2004 – 08/2004)

  • Managed R&D Portal, Global Technology Center Consultation
  • “Global Knowledge Sharing” Award for Best Technical Whitepaper

MillenniumIT (London Stock Exchange Group) – Application Engineer (08/2003 – 05/2004)

  • Global Support, Technical Advice to Capital Market Clients
  • Performance Benchmarking, Real-time Multithreaded C/C++ Code Development

🎓 Educational/Professional Qualifications

  • PhD Candidate, Tutor, Research Assistant, University of Queensland (2019 – 2023)
  • MSc Big Data Science, Queen Mary, University of London (2017 – 2018)
  • MSc Computer Science, Networking, University of Moratuwa, Sri Lanka (2004 – 2006)
  • BSc Computer Science & Engineering, University of Moratuwa, Sri Lanka (1999 – 2003)

🏆 Special Achievements/Publications

  • Google Research Profile: Link
  • “Microsoft Best Paper Award: Cybersecurity Technical Group” (2020)
  • “Global Knowledge Sharing” Award for Best Technical Publication (Virtusa 2003)

🤝 Positions of Responsibility

  • International Reviewer – Multiple AI ML Journals (2022 – Onwards)
  • Operational Committee Member – WiT Cyber Review Committee, Queensland (2023 – 2024)
  • Coordinator – Chess & Drafts Games, Central Bank Recreation Club (2010 – 2017)
  • Chief Examiner – Institute of Bankers, Sri Lanka (2009 – 2017)
  • Volunteer Work with ADB to Create Computer-Aided Educational Software for Schools (2004)

📚 Lateral Courses Completed

  • Macro Econometric Forecasting, IMF, Institute for Capacity Development, 2016
  • Financial Programming and Policies, Part 2: Program Design, IMF, 2012

🏆 Skills

  • Data, AI, Machine Learning Engineering
  • Software Development (Python, C++, C#)
  • AI ML (GPTx, Langchain Models, TensorFlow)
  • DevOps and Cloud Management (Azure, AWS)
  • Google Technologies (Data Studio, Firebase, Cloud Firestore)
  • Data Engineering (PowerBi, Tableau, DAX, Python-based Web Scraping)

🎉 Awards and Recognitions

  • Best Paper Awards (Microsoft, CSIRO)
  • Global Knowledge Sharing Award (Virtusa)
  • Australian Scholarships (UQ RTP, ARC LP)