جست‌وجوی استاد و پژوهشگر

• Water Systems Modelling
• Sustainability
• Integrated Water Cycle Management
• +۵ مورد دیگر

Yang Liu is a Lecturer at the University of Leicester, United Kingdom, and previously served as a Postdoctoral Research Associate in the Department of Materials at Imperial College London (2019–2024). His research spans two key areas: failure mechanisms of metallic materials using crystal plasticity modelling and water systems engineering, with a focus on sustainability and integrated modelling. He holds an Academic Visitor affiliation at Imperial College’s Faculty of Engineering. Research interests include water quality management, socio-hydrological phenomena, resilience assessment frameworks, and the application of nature-based solutions. He has developed the WSIMOD Python package for simulating water systems and contributed to global infrastructure sustainability studies. His work emphasizes interdisciplinary approaches, blending hydrological models, urban-rural coordination, and meta-modelling to address water management challenges. He has authored numerous papers on topics such as constructed wetlands, catchment classification, and cost-efficient resilience strategies.

Donatella Spanoمشاهده پروفایل

استاد

• Agrometeorology
• Biometeorology
• Ecophysiology of agricultural and forestry ecosystems
• +۵ مورد دیگر

Donatella Spano is Full Professor and Scientific Coordinator of the PhD programme in Agrometeorology and Ecophysiology of Agricultural and Forestry Ecosystems at the University of Sassari, Italy. She also coordinates the Agrometeorology and Ecophysiology Laboratory at the same university and serves as Senior Member of the Strategic Council of the Euro-Mediterranean Centre on Climate Change (CMCC). A founding member and former President (2015–2016) of the Italian Society for Climate Sciences, Prof. Spano has held numerous high-profile roles including Regional Minister for the Environment of Sardinia (2014–2019) and Pro-Rector for Research at the University of Sassari (2009–2014). Education Degree in Agricultural Sciences, University of Sassari Three-year Post-Doctoral specialisation in Biometeorology, University of Sassari Research Focus Prof. Spano’s work lies at the intersection of agrometeorology, biometeorology, and ecophysiology . Her team investigates the energy and mass exchange between terrestrial ecosystems and the atmosphere using advanced micrometeorological techniques such as Surface Renewal. She pioneered temperature-based phenological models to quantify chilling requirements and degree-day accumulation. Current research lines include climate-change impacts on crop yields (coffee, olives, maize), fire-behaviour modelling (danger indices and propagation), and the development of integrated systems for quantifying net CO₂ exchanges at urban and territorial scales. Across her recent publications, two dominant themes emerge: (1) climate-change projections and their sectoral impacts , where process-based and ensemble models are used to evaluate water demand, yield trends, and fire risk under future climates, and (2) micro-to-macro scale biometeorological observations , combining eddy-covariance data, phenological monitoring, and sensor-network optimisation to refine predictive models. Scientific Awards & Recognition Medal of the University of Sassari for best scientific production (2012) Best Practice Paper Award, American Society of Civil Engineers (2001, co-recipient) Advising & Grants Prof. Spano has chaired more than 40 doctoral and master theses. She is responsible for the scientific cooperation agreement with the University of California, Davis, a collaboration active since 1993. She leads or participates in numerous EU-funded projects focused on climate-change adaptation, sustainable farming strategies, and integrated fire-risk management systems. Laboratory & Team Leadership Since 2006 she has directed the Agrometeorology and Ecophysiology Laboratory at the University of Sassari, managing a team of 25 researchers, post-docs, and PhD students in cutting-edge experimental and modelling activities.

• Computational Fluid Dynamics
• Ship Hydrodynamics
• Numerical Modelling
• +۷ مورد دیگر

Momchil Terziev is a Lecturer in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, Faculty of Engineering. He is actively involved in research and teaching, with a strong focus on applied Computational Fluid Dynamics (CFD) for marine applications. He also co-delivers joint teaching activities at Harbin Institute of Technology, Weihai, China, and has held visiting academic positions, including as a Visiting Professor at Universitas Diponegoro under the World Class University Visiting Professor Program. His research expertise lies in the numerical modelling of fluid flow around ships, particularly addressing scale effects that lead to performance differences between model and full-scale vessels, and shallow water hydrodynamics . He also investigates discretisation uncertainty estimation, ship aero-hydrodynamics, and practical turbulence modelling techniques. His work contributes to the UN Sustainable Development Goal of sustainable infrastructure and clean energy through improved marine technology. The most recent publications reflect a strong trend in advancing CFD methodologies for ship performance prediction, with emphasis on scale effects, shallow and confined water dynamics, and hybrid simulation approaches. These works are published in high-impact journals such as Ocean Engineering and Journal of Marine Science and Engineering , showing a consistent focus on validation, uncertainty quantification, and real-world naval applications. Scientific Awards: Outstanding Poster Award (August 1, 2024) Advising and Grants: Dr. Terziev supervises PhD and research students and has led or co-led multiple funded research projects. He serves as Principal Investigator on projects such as Russel's Solitary Wave in the 21st Century and Computational Optimisation of the Vortex Turbine , and as Co-investigator on others including KMOU_Autonomous and a CPD course on seakeeping and manoeuvring. His funding sources include international collaborations and university programs, such as the Collaboration Program for Promoting International Joint Research with Tokyo University of Marine Science and Technology. Labs, Teams, and Professional Roles: He is an active member of the maritime research community, serving as Deputy Editor for Elsevier and Editor for the journal Ocean Engineering . He has performed over 70 professional activities, including peer reviewing, editorial work, conference speaking, and outreach. He collaborates internationally and is part of a strong research network focused on marine hydrodynamics and renewable energy systems.

Dobrila Petrovicمشاهده پروفایل

دانشیار

• Operational Research
• Business Analytics
• Artificial Intelligence
• +۳ مورد دیگر

Dr Dobrila Petrovic is an Associate Professor of Operational Research and Business Analytics in the Department of Strategy, Analytics and Operations at Nottingham Business School, Nottingham Trent University. With over 20 years of academic experience in the UK, she serves as Research Coordinator for the department and teaches Management in Organisations, Research Methods, and Data Driven Decision Making on postgraduate programs. Operational Research Business Analytics Fuzzy Logic Applications Supply Chain Optimization Multi-Objective Optimisation Her recent research focuses on fuzzy scenario-based optimization for supply networks, type-2 fuzzy cognitive maps, and multi-attribute decision-making for autonomous vehicle safety. She has supervised 17 PhD students and 12 postdoctoral researchers throughout her career. EPSRC Reviewer ESRC Reviewer Leverhulme Trust Reviewer European Science Foundation Reviewer International Journal of Systems Science Associate Editor

• Artificial Intelligence
• Big Data Analytics
• Bioinformatics
• +۲۱ مورد دیگر

Dr. Mahakim Newton is a Lecturer in Data Science at the University of Newcastle, Australia, and an Adjunct Senior Research Fellow at Griffith University’s Institute for Integrated and Intelligent Systems. He holds a PhD in Computer and Information Sciences from the University of Strathclyde, alongside degrees from Bangladesh University of Engineering and Technology (BUET). His research focuses on artificial intelligence, machine learning, bioinformatics, and computer education, with notable contributions to protein structure prediction and IoT interoperability. Education: Ph.D., University of Strathclyde M.Sc.Engg., Bangladesh University of Engineering and Technology B.Sc.Engg., Bangladesh University of Engineering and Technology Research Interests: Dr. Newton’s work bridges AI and computational biology, including protein-ligand binding affinity prediction, bioinformatics algorithms, and IoT edge networks. He explores machine learning techniques for environmental informatics and drug discovery, emphasizing scalable solutions for complex problems. Teaching: He coordinates courses like Computing Project , Algorithms , and Deterministic and Stochastic Optimisation at the University of Newcastle, integrating practical and theoretical insights. Grants and Labs: Involved in interdisciplinary projects on water quality prediction and edge computing interoperability. His collaborations span academic and industrial partners, advancing applications in healthcare and environmental monitoring.

• Biorobotics
• Computational Neuroscience
• Artificial Intelligence
• +۱۲ مورد دیگر

Professor Andy Philippides is a faculty member in the School of Engineering and Informatics at the University of Sussex, where he holds the title of Professor of Biorobotics (Informatics). He has been continuously affiliated with the university since 1995, progressing from an MSc and PhD student to a permanent academic, achieving full professorship in 2017. His work is deeply interdisciplinary, bridging robotics, neuroscience, and artificial intelligence. His research interests focus on the mechanisms of intelligent behavior through the interaction of body, brain, and environment. Key areas include visual navigation in insects and robots, neuromodulation in neural networks (e.g., GasNets), evolutionary robotics, and computer vision. He leads and contributes to high-impact projects such as Brains-on-Board, INSIGHT, and be.AI, funded by EPSRC, BBSRC, MRC, and the European Union. His recent publications (2022–2025) reflect a strong trend in bio-inspired algorithms, particularly in insect navigation, spiking neural networks, and adaptive robotics. These works span journals like PLoS Computational Biology , Frontiers in Physiology , and Biomimetics , emphasizing visual route learning, memory networks, and neuromorphic computing. He has supervised over 50 MSc theses and numerous PhD students, many of whom now hold academic or industry positions. His collaborations include prominent researchers such as Paul Graham, Phil Husbands, and Tom Collett. He is actively involved in grant-funded research, with current projects extending into 2028. Action-based bio-inspired autonomous navigation (Universities UK) Emergent embodied cognition in shallow neural networks (BBSRC) be.AI - biomimetic embodied Artificial Intelligence (Leverhulme Trust) ActiveAI - active learning and selective attention (EPSRC) He teaches courses such as Intelligence in Animals and Machines and Research Methods in Neuroscience, and has previously taught in computational neuroscience and robotics. His lab, part of the Centre for Computational Neuroscience and Robotics (CCNR), fosters interdisciplinary research in biorobotics and neural modelling.

• Process Systems Engineering
• Mathematical Optimisation
• Sustainable Energy Systems
• +۱۰ مورد دیگر

Dr Michael Short is an Associate Professor of Process Systems Engineering at the University of Surrey , affiliated with the School of Chemistry and Chemical Engineering and the Surrey Institute for Sustainability . His research focuses on mathematical optimisation tools for sustainable process design, bioenergy systems, renewable energy integration, and pandemic risk modelling. Current projects include AI-driven biogas production optimisation and carbon-negative chemical synthesis. EPSRC-funded £1.7M project on AI for biogas production Co-I in £5M Supergen Bioenergy Impact Hub Developed open-source DECO2 software for ASEAN decarbonisation His team applies mixed-integer nonlinear programming (MINLP) and machine learning to industrial challenges in pharmaceuticals, aquaculture, and microbreweries. Collaborations span Eli Lilly, Pfizer, and universities in Japan, Malaysia, and Brazil. Supervised projects address grid-scale energy storage, CO2 utilisation, and rural electrification. Scientific Awards : 2021 EPSRC Impact Acceleration Account Commercialisation Fellow Best Speaker Award at 2020 Sustainable Process Integration Lab Conference Editorial Board Member of Journal of Water Process Engineering Recent publications examine direct air capture integration, waste-to-energy brewing processes, and whole-system energy models. Supervises students in distributed energy systems, catalytic processes, and sustainable design.

• Chemical Engineering
• Multiphase Flow
• Energy Optimisation in Wastewater Treatment
• +۴ مورد دیگر

Rex Thorpe is a Professor of Chemical Engineering at the University of Surrey 's School of Chemistry and Chemical Engineering. His work spans multiphase flow analysis, energy optimisation in wastewater treatment, and innovative chemical recycling technologies. Former Head of Chemical and Process Engineering (2008-2015), he has pioneered research in anaerobic digestion flexibilisation and membrane technology for water treatment. Key research areas: multiphase flows in industrial systems Energy recovery from sewage sludge Advanced plastic recycling methods Volatile organic compound (VOC) abatement His recent publications focus on direct contact heat exchangers , dynamic biogas systems , and salinity effects on membrane permeability . The studies frequently combine experimental validation with mathematical modelling across scales from pilot plants to full municipal operations. Scientific accolades include: Fellow of the Institution of Chemical Engineers (FIChemE) Chartered Engineer (CEng) Fellow of the Higher Education Academy (FHEA) As an educator, he teaches Energy and Industrial Systems and Process Equipment Design modules. His legacy includes foundational work on pipe bend forces, fluidised bed conveying, and computational fluid dynamics (CFD) calibration techniques.

Lei Xingمشاهده پروفایل

مدرس

• Electrochemical Energy Conversion
• Carbon Capture and Utilisation
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Lei Xing is a Lecturer in Digital Chemical Engineering at the University of Surrey, where he also serves as a Fellow of the Institute for Sustainability and the Institute for People-Centred AI. He joined the Department of Chemical and Process Engineering in September 2022, following postdoctoral research positions at Oxford University, Purdue University, and the University of Birmingham. Dr. Xing earned his PhD in Chemical and Process Engineering from Newcastle University. His academic journey has equipped him with expertise spanning chemical engineering, energy systems, and artificial intelligence, enabling his interdisciplinary research approach. His research focuses on sustainable industrial-agri-food systems through industrial decarbonization and AI-based digitalization within circular economy frameworks. Key areas include electrochemical energy conversion (fuel cells, electrolysers), carbon capture and utilisation, AI-enabled multi-criteria assessment, and model predictive control. He specializes in multi-physics and multi-phase flow modeling, multi-objective optimisation, and techno-economic analysis of renewable energy systems, with particular emphasis on practical applications for achieving Net Zero targets. Dr. Xing's recent publications demonstrate a strong integration of artificial intelligence with traditional chemical engineering approaches. Many studies develop digital twin models for electrochemical systems, optimize carbon capture processes, and advance sustainable hydrogen production technologies. His work consistently bridges theoretical modeling with practical engineering applications, incorporating life cycle assessment and techno-economic analysis to evaluate environmental and economic viability of energy solutions. Chartered Member of IChemE (MIChemE) Fellow of Higher Education (FHEA) Associate Editor for Fuel Cells and Frontiers in Energy Research Editorial Board Member for Energy and AI, CCST, and Energies Dr. Xing actively supervises multiple PhD students working on cutting-edge projects at the intersection of AI and sustainable energy systems. His research is supported by significant grants totaling over £1.2 million from EPSRC, Royal Society, Horizon Europe, and other funding bodies. These projects address critical challenges in decarbonizing hard-to-abate sectors, developing circular economy approaches for fertilizer production, and advancing CO2 electrolysis technologies. He leads research initiatives within the Sustainable Energy and Materials group at Surrey, collaborating with colleagues across chemistry, mechanical engineering, electrical engineering, and computer science disciplines. His work on the OLINWASTE project represents a major EU-funded effort to transform olive mill waste into valuable bioproducts, while his C-Cir project focuses on accelerating the commercial translation of CO2 electrolysers.

Karim Sherif Mostafa Hassan Ibrahimمشاهده پروفایل

مدرس

• Artificial Intelligence and Machine Learning
• Optimisation Algorithm
• Geotechnical Engineering
• +۱ مورد دیگر

Dr. Karim Sherif Mostafa Hassan Ibrahim is a Lecturer (Practice) at the Malaysia School of Engineering, Monash University. His expertise spans Civil Engineering with a focus on Artificial Intelligence, Machine Learning, Optimization Algorithms, Geotechnical Engineering, and Hydrology. He holds a PhD from Universiti Tunku Abdul Rahman (UTAR) and has industry experience with companies like HACENT Consultant Sdn Bhd and Minconsult. Education: PhD in Civil Engineering, UTAR (2024) BEng (Hons) Civil Engineering, UNITEN (2019) Foundation in Civil Engineering, UNITEN (2015) His research integrates AI and optimization techniques for hydrological forecasting and reservoir management. Notable projects include Klang Gate Dam reservoir inflow prediction and geotechnical material analysis using polymer-based curing agents. He is a registered professional engineer with awards for academic excellence and leadership. Teaching commitments include courses like CIV3285, CIV4261, and ENG1011. His work bridges academic research and industry applications in civil infrastructure and sustainable water management.

Karina Bakkeløkken Hjelmervikمشاهده پروفایل

استاد

• Fluid mechanics
• Physical oceanography
• Numerical modelling of water currents and waves
• +۵ مورد دیگر

Professor Karina Bakkeløkken Hjelmervik is a Professor in the Department of Maritime Operations , Faculty of Technology, Natural Sciences and Maritime Studies at the University of South-Eastern Norway , Campus Vestfold. Since 2009 she has combined mathematics and oceanography to advance numerical modelling of coastal waters, in particular the Oslofjord system. Education: PhD in Fluid Mechanics, University of Oslo, 2009 – thesis on wave–current interactions in coastal tidal currents. Cand. Scient. in Oceanography, University of Bergen – thesis on cold CO₂ droplets in seawater. Cand. Mag. in Science, University of Bergen. Research interests revolve around fluid mechanics and physical oceanography . She develops and validates high-resolution numerical models that simulate water currents, tides, waves, and dispersion processes. Her work supports operational ocean forecasting, tidal-energy assessment, oil-spill contingency planning, and maritime training simulators. Project leadership spans more than 15 funded initiatives totalling over 30 MNOK. Flagship projects include the FjordOs series (2013–2021) that produced an operational forecast model for the Oslofjord, and collaborative grants on tidal power, clean propulsion, and micro-technology for pathogen detection. Publications and dissemination include 20+ peer-reviewed journal articles since 2012, keynote talks at IEEE OCEANS and JONSMOD, and popular lectures such as Mathematics in the Oslofjord . Student supervision is extensive: she mentors master’s and PhD candidates across mathematics, physics, and maritime programmes, though specific student names are not listed. Contact: karina.hjelmervik@usn.no | +47 31 00 93 25

• Recirculating aquaculture systems (RAS)
• Fish welfare and ethology
• Water quality and ozonation
• +۳ مورد دیگر

Jelena Kolarevic is Professor at the Norwegian Fisheries College, UiT The Arctic University of Norway, Tromsø. She leads research on recirculating aquaculture systems (RAS), water-quality engineering, biosensor technology and salmon welfare, and participates in several national projects aimed at automating land-based salmon farming. Research interests revolve around the interface of technology and biology in closed-containment aquaculture. Her group develops real-time monitoring tools (acoustic, optical and biochemical sensors) to track fish behaviour, respiratory activity and water chemistry, with the overarching goal of optimising growth conditions and safeguarding welfare. Recent work explores how ozonation, photoperiod, CO₂ levels and soundscapes affect salmon performance and stress physiology. Across 60+ articles since 2020 she has advanced: (i) RAS water treatment (ozone, organic matter, disinfection by-products), (ii) sensor-based welfare indicators (accelerometers, ventilation loggers, passive acoustics), and (iii) physiological responses to fasting, salinity, CO₂ and oxidative disinfectants. These studies collectively underpin evidence-based protocols for large-scale, land-based salmon production. She currently heads or co-leads competitive grants including CandRAS (education for RAS industry), LAKSVEL (operational welfare indicators), Balanst (real-time control of fish-environment-energy) and multiple Nofima–UiT industry projects on ozonation, degassing and biosecurity. Professor Kolarevic is actively involved in supervising PhD and MSc candidates within the Aquaculture and Environment research group, although individual student names are not listed in the supplied text.

• Geotechnical Engineering
• Energy Geotechnics
• Nuclear Waste Disposal
• +۵ مورد دیگر

Anne-Catherine A.M. Dieudonné, holding the title Dr.ir., is a faculty researcher at the Faculty of Civil Engineering and Geosciences, Delft University of Technology , within the Section of Geo-Engineering . Her work bridges fundamental geomechanics with pressing energy and environmental challenges, focusing on clays, bentonites, bio-cemented sands, geothermal systems, nuclear waste disposal, and CO₂ geological storage. Education & Training: Doctor of Engineering (Dr.ir.) – advanced doctoral degree in civil engineering/geosciences, exact institution and dates not stated in the source. Research Interests: Anne-Catherine’s research is organised around four pillars: Energy Geotechnics: thermo-hydro-mechanical (THM) modelling of geothermal systems in deep mines, cold-water injection-induced fracturing, optimisation under uncertainty. Environmental Geotechnics: long-term performance of clay barriers for nuclear waste repositories, gas and fluid transport in saturated clays, self-healing of rock-salt fractures. Bio-mediated Ground Improvement: micro-scale mechanics of bio-cemented sands, influence of carbonate distribution on stiffness and strength, DEM and experimental characterisation. Advanced Experimental & Numerical Techniques: development of novel visualisation devices for fluid-driven cracks, constitutive modelling of expansive clays, zero-thickness interface elements for fracture simulation. Publication Trends: Since 2020 she has authored or co-authored more than 25 peer-reviewed articles and conference contributions. The 2025 corpus shows a strong emphasis on geothermal reservoir engineering , bio-cemented geomaterials , and deep geological disposal , with methodological advances in coupled THM modelling, discrete-element simulation, and experimental validation. Scientific Awards & Honours: ABTUS Scientific Prize – Belgian Association for Underground Techniques and Urbanism (2012) C.B.R. Heidelberg Prize (2011) Bright Spark Lecture Award (2025) Ioannis Vardoulakis PhD Prize (2017) NWO Veni Grant (2019) Supervision & Grants: Anne-Catherine has supervised at least one doctoral student, A. Zhang , on bio-cemented sands. She is principal investigator on the NWO Veni project focusing on clay fracture mechanics and participates in the European EURAD consortium for radioactive waste management research. Laboratory & Teams: She is affiliated with the Geo-Engineering Section laboratories at TU Delft, which host advanced triaxial, oedometer, and bespoke visualisation rigs for clay and sand testing. Collaborative networks span TU Delft, KU Leuven, University of Liège, and multiple European institutions within EURAD.

• HVAC Systems
• Heat Transfer
• Fluid Mechanics
• +۴ مورد دیگر

Michael J. Newtown, P.E., serves as Dean of the Canino School of Engineering Technology at the State University of New York at Canton, where he also holds a faculty appointment in HVAC Engineering Technology. In this role he oversees one of SUNY Canton’s premier professional schools while remaining active in teaching and research. Education Ph.D. Student, Engineering Science – Clarkson University M.S., Engineering and Global Operation Management – Clarkson University B.S., Mechanical Engineering Technology – Rochester Institute of Technology A.A.S., Mechanical Engineering Technology – SUNY Canton Research & Scholarship Dr. Newtown’s scholarship sits at the intersection of energy engineering and environmental responsibility. His current investigations centre on heat transfer and fluid mechanics applications in sustainable energy systems , with active projects that include: Performance evaluation of three wood-pellet boilers integrated with thermal storage tanks. Design and impact assessment of surface-water geothermal heat exchangers on winter lake conditions. These efforts are underpinned by his long-standing interest in biomass combustion emissions and HVAC system optimisation. Publications Trend Across his peer-reviewed journal articles and technical reports, a clear focus emerges on experimental characterisation of small-scale biomass combustion devices, quantification of pollutant emissions, and demonstration of advanced renewable heating technologies in real-world settings. Grants & Projects NYSERDA Agreement #32978 – Wood Pellet Heating System Combustion Demonstration NYSERDA Agreement #10673 – Combustion Performance Testing of Domestic and European Grass Pellet Boilers and Furnaces NYSERDA Agreement #10052 – Field Demonstration of Grass Pellet Production SUNY Performance Improvement Fund (2017): Online B.S./Micro-credential in Sustainable Construction Management ($170 000) Online B.Tech./Micro-credential in Industrial Technology Management/Logistics ($190 000) Solar Ready Vets micro-credential & Alternative & Renewable Energy Systems B.Tech. expansion ($298 000) Labs & Professional Service Dr. Newtown maintains active membership in the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) and the American Society for Engineering Education (ASEE), leveraging these networks to advance HVAC educational standards and sustainable-energy outreach initiatives.

Abhishek Asthanaمشاهده پروفایل

استاد

• Energy from waste and incineration
• Power generation
• Refrigeration and air conditioning
• +۸ مورد دیگر

Dr. Abhishek Asthana is a Professor and Reader in Energy Engineering at Sheffield Hallam University's Department of Engineering and Mathematics. He serves as Director of Hallam Energy and Deputy Director of the Doctoral Training Alliance (DTA) in Energy, a collaboration of 19 UK universities. Since 2009, he has secured £2M in external funding, led 45 industrial projects, and developed 5 commercial software packages and 4 patents. He leads three engineering courses including the award-winning BEng Energy Engineering program (90%+ student satisfaction 2011–2015). His research focuses on energy systems, waste-to-energy technologies, and industrial energy efficiency. Notable projects include waste heat recovery from Nestlé's KitKat ovens (£819k Innovate UK funding) and municipal solid waste feasibility studies in New Delhi. He collaborates with industry leaders like Nestlé, Dext Heat Recovery, and the Delhi Metro Rail Corporation. Developed 19 modules and 4 courses, including MEng Chemical Engineering and MEng Food Engineering (partnered with Food and Drink Federation). Supervised 61 MSc dissertations and 37 BEng projects. Recipient of multiple awards: IET Global Ambassador, Contribution Pay Award, and Eiffel Scholarship. His work spans energy sustainability, pollution abatement, and interdisciplinary initiatives like the Energy Saving Opportunity Scheme. He co-founded Hallam Energy, part of the Materials and Engineering Research Institute (MERI), driving industry partnerships in heat recovery and energy optimization.