Shahab Naghdi | Gas Sensors | Best Researcher Award

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Dr. Shahab Naghdi | Gas Sensors | Best Researcher Award

Dr. Shahab Naghdi | Gas Sensors | Postdoc researcher at Tarbiat Modares University | Iran

Dr. Shahab Naghdi is a postdoctoral researcher at Tarbiat Modares University with a specialized focus on seafood processing, bio-waste refinery, and intelligent packaging. With a solid academic foundation, Dr. Shahab Naghdi earned his Ph.D. in Seafood Processing from Tarbiat Modares University, where his doctoral research explored the extraction and application of sulfated polysaccharides and protein hydrolysates from marine by-products. His research journey has been marked by a strong emphasis on sustainable technologies and marine biotechnology, placing him at the forefront of efforts to utilize underexploited aquatic resources through eco-friendly techniques. Professionally, Dr. Shahab Naghdi has collaborated extensively with international scholars from countries including Sweden, Spain, and Indonesia, and has co-authored numerous high-impact research papers. reflecting his growing influence in the fields of food bioprocessing and marine-derived biomaterials. Dr. Shahab Naghdi’s h-index of 9 and i10-index of 8 highlight the scientific depth and consistency of his research outputs. His areas of interest include bioactive compound extraction, intelligent color-changing nanosensors, fish protein hydrolysates, and the development of biopolymer-based films for food preservation. Dr. Shahab Naghdi is skilled in ultrasonic-assisted extraction, enzymatic hydrolysis, pH-sensing technology, and analytical techniques used in evaluating antioxidant and antimicrobial properties. He has successfully applied these techniques to create sustainable solutions for food packaging and marine waste utilization, contributing both scientific innovation and environmental benefit.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. A starch-based pH-sensing and ammonia detector film containing betacyanin of paperflower for application in intelligent packaging of fish (2021) – 137 Citations

  2. Ultrasonic-assisted enzymatic extraction of sulfated polysaccharide from Skipjack tuna by-products (2023) – 24 Citations

  3. Parallel extraction of sulfated polysaccharides and protein hydrolysate from skipjack tuna head and their bioactive and functional properties (2023) – 21 Citations

  4. Fish Protein Hydrolysate from Sulfated Polysaccharides Extraction Residue of Tuna Processing By‐Products with Bioactive and Functional Properties (2023) – 19 Citations

 

 

Dr. Jonathan Higham | Air Quality | Best Researcher Award

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Dr. Jonathan Higham | Air Quality | Best Researcher Award 

Dr. Jonathan Higham, The University of Liverpool, United Kingdom

Dr. Jonny Edward Higham is a Senior Lecturer in Contemporary and Dynamic Processes in the Department of Geography and Planning at the University of Liverpool. With a Ph.D. in Environmental Fluid Mechanics and an MEng in Civil & Structural Engineering from the University of Sheffield, he integrates advanced machine learning (ML) and artificial intelligence (AI) techniques—especially those rooted in linear algebra such as Singular Value Decomposition (SVD) and Proper Orthogonal Decomposition (POD)—to address critical challenges in maritime safety, environmental monitoring, and public health. Dr. Higham has led high-impact projects, including MarRI-UK-funded research that has reduced port maintenance costs and digitalized shipyard operations in partnership with Lloyd’s Register. His work on ML-based aerosol dynamics in dentistry informed NHS COVID-19 guidelines, while his deployment of a 58-sensor air quality network across Liverpool directly informs city policy. As the founder of the Liverpool Employer-Led Academy (LELA), launched in 2024, he fosters collaboration between academia and industry to enhance student employability. A recipient of multiple awards, including from the American Physical Society and the University of Liverpool, Dr. Higham has over 609 citations and more than 35 publications. He also serves as Deputy Chair of the FSE Ethics Committee and SoES Commercialisation Lead, and supervises numerous doctoral students in ML/AI research.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Jonny Edward Higham

Dr. Jonny Edward Higham, Senior Lecturer at the University of Liverpool, is a distinguished researcher whose interdisciplinary work in machine learning (ML), artificial intelligence (AI), and environmental engineering has made a significant impact on public safety, healthcare, and environmental policy. His research excellence, practical innovation, and mentorship make him an outstanding candidate for the Best Researcher Award.

🎓 Education

  • PhD in Environmental Fluid Mechanics, University of Sheffield (2013–2016)

  • MEng in Civil & Structural Engineering, University of Sheffield (2009–2013)

  • MEng in E.T.S. de Ingeniería de Caminos, Canales y Puertos, Universidad de Granada (2012)

  • Fellow of the Higher Education Academy (2016)

  • Currently pursuing Senior Fellowship of the Higher Education Academy

💼 Work Experience

  • 👨‍🏫 Senior Lecturer, Department of Geography and Planning, University of Liverpool (2018–Present)

    • Led £190k MarRI-UK project using ML and SVD for nearshore bathymetry, cutting port costs by 15%

    • Principal Investigator for £30k MarRI-UK Digital Shipyard project using AI in shipbuilding with Lloyd’s Register

    • Developed YOLOv8-based boulder detection model (78% accuracy) for maritime navigation

    • Engineered ML models for aerosol dynamics during COVID-19, contributing to NHS protocols

    • Installed 58-sensor air quality network across Liverpool, influencing city policy

    • Founded and leads Liverpool Employer-Led Academy (LELA), launched 2024

    • Supervises 10 PhD students (4 completed, 6 ongoing)

    • Deputy Chair of FSE Ethics, SoES Commercialisation Lead

  • 🧪 Oakridge Research Fellow, National Energy Technology Laboratories, U.S. Department of Energy (2016–2018)

    • Applied ML and linear algebra for granular flow analysis, laying groundwork for maritime and environmental innovations

🏆 Awards and Honors

  • 🥇 American Physical Society Award (2020) – ML contributions to fluid mechanics

  • 🎓 School Teaching Prize, University of Liverpool (2020) – for ML-based teaching innovations

  • 💰 Faculty Teaching Development Grant, University of Liverpool (2020) – for AI-driven teaching tools

📊 Key Achievements

  • 609 Google Scholar citations

  • 35+ peer-reviewed publications

  • Established YOLOv8 models in sonar imaging and healthcare

  • Influenced NHS and Liverpool City Council with ML-driven research

  • Leads national-level MarRI-UK maritime innovation projects

Publication Top Notes:

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