Assoc Prof. Dr.Hamid Reza Ahmadi | structural damage detection award | Excellence in Research award

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Assoc Prof. Dr.Hamid Reza Ahmadi | structural damage detection award | Excellence in Research award

 

Assoc Prof. Dr.Hamid Reza Ahmadi, University of Maragheh, Iran

Dr. Hamid Reza Ahmadi is an accomplished Associate Professor of Earthquake Engineering with a strong background in Civil Engineering. He obtained his Bachelor of Science (BS) degree in Civil Engineering from Iran University of Science & Technology in 2004. He continued his education and earned a Master of Science (MS) degree in Civil Engineering from the same institution in 2006. Later, he pursued a Doctor of Philosophy (PhD) degree in Civil Engineering from Tarbiat Modares University, completing it in 2013 with a dissertation focused on “Seismic Damage Detection of Concrete Piers of Railway Bridges Using Time-Frequency Analysis.”

Dr. Ahmadi’s research interests are diverse and include Structural Health Monitoring and Damage Detection, Bridge Engineering, Seismic Analysis, Seismic Design, Evaluation of Structures, Structural Rehabilitation, and Application of New Methods in Retrofitting of Buildings and Bridges.

Professional Profiles

 

Education:
  • PhD in Civil Engineering, Tarbiat Modares University, Tehran, Iran (September 2008–March 2013) Dissertation: “Seismic Damage Detection of Concrete Piers of Railway Bridges Using Time-Frequency Analysis”
  • MS in Civil Engineering, Iran University of Science & Technology, Tehran, Iran (September 2004 – December 2006) Dissertation: “The assessment and comparison of nonlinear structural analysis using performance method with that of dynamic time history analysis”
  • BS in Civil Engineering, Iran University of Science & Technology, Tehran, Iran (September 1999 – February 2004)

Research Interests:

  • Structural Health Monitoring and Damage Detection
  • Bridge Engineering
  • Seismic Analysis
  • Seismic Design and Evaluation of Structures
  • Structural Rehabilitation and Retrofitting

Teaching Experience:

Dr. Ahmadi has extensive teaching experience in various universities, covering subjects such as Finite Element Method, Dynamic of Structures, Design of Bridges, Earthquake Engineering, and more.

Administrative Duties:

  • Professional Engineer License
  • Member of the Founding Board of Iranian Bridge Engineering Association (IBEA)
  • Treasurer of IBEA
  • Head of Department of Civil Engineering, University of Maragheh
  • Vice President of IBEA

Cooperation with Journals:

Dr. Ahmadi has contributed to numerous journals in the field of civil engineering, earthquake engineering, and structural analysis.

 

Publication Top Notes:
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Assist Prof. Dr. Manoj Kumar | Machine Learning award | Best Researcher Award

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Assist Prof. Dr. Manoj Kumar | Machine Learning award | Best Researcher Award

 

Assist Prof. Dr. Manoj Kumar , Rajkumar Goyal Institute of Technology, Ghaziabad, India

Dr. Manoj Kumar is a researcher specializing in Mathematics, particularly in the field of Traffic Congestion Modeling and Prediction. He earned his Ph.D. in Mathematics from Dr. B. R. Ambedkar University in Delhi, India, where his research focused on developing new indices, analyzing road segments and networks, and predicting congestion levels. His outstanding work led to him being awarded First Division in his Ph.D.

Prior to his Ph.D., Dr. Kumar completed his Master of Science (M.Sc.) in Mathematics with First Division from the National Institute of Technology in Jalandhar, India. He also holds a Bachelor of Science (B.Sc.) in Math, Physics, and Chemistry with First Division from Bundelkhand University in Jhansi, India.

Professional Profiles

 

📚 Educational Odyssey

His academic prowess manifested early on, culminating in a Ph.D. in Mathematics from Dr. B. R. Ambedkar University. His doctoral thesis on “Traffic Congestion Modeling and Prediction” garnered widespread acclaim, earning him the prestigious First Division Award. Prior to this, he earned his stripes with a Master’s degree in Mathematics from the esteemed National Institute of Technology, Jalandhar, where he once again graduated at the top of his class.

🔬 Research Frontier

Dr. Kumar’s intellectual pursuits traverse diverse realms, from pioneering advancements in traffic congestion modeling to delving deep into the realms of deep learning and computer vision. His research endeavors encompass:

  • Traffic Congestion: Through his groundbreaking work, Dr. Kumar has developed novel indices and predictive models that have revolutionized our understanding of traffic dynamics.
  • Deep Learning: Continuously pushing the boundaries, he refines deep learning architectures to enhance prediction accuracy, unlocking new avenues for real-time traffic management.
  • Computer Vision: Dr. Kumar’s expertise extends to harnessing the power of computer vision to gather online data and detect objects, further enriching our understanding of traffic patterns.
  • Differential Equations: Leveraging artificial neural networks, he tackles complex differential equations, paving the way for innovative solutions in diverse mathematical domains.

🌟 Impact and Recognition

Dr. Kumar’s contributions have not gone unnoticed. His research has not only enriched academic discourse but also holds immense promise for practical applications in urban planning and transportation management. His scholarly pursuits, coupled with his unwavering commitment to excellence, have earned him accolades from peers and experts alike.

Publication Top Notes:
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Assoc Prof. Dr. Aydan Aksoğan Korkmaz | lignite-biomass pyrolysis award |Women Researcher Award

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Assoc Prof. Dr. Aydan Aksoğan Korkmaz | lignite-biomass pyrolysis award |Women Researcher Award

Assoc Prof. Dr. Aydan Aksoğan Korkmaz, Malatya Turgut Özal University, Turkey

Aydın Aksoğan Korkmaz is an accomplished academician and researcher in the field of mining engineering, specializing in coal preparation, pyrolysis, and clean energy technologies. With extensive experience in both academia and research, Dr. Korkmaz has made significant contributions to the understanding and utilization of lignite and biomass resources for sustainable energy production. Her work encompasses various aspects of coal and biomass utilization, including carbonization, liquefaction, and characterization of pyrolysis products.
Professional Profiles

 

🎓 Education:
  • Ph.D. in Mineral Processing, İnönü University, 2017
  • M.Sc. in Mining Engineering, İnönü University, 2007
  • B.Sc. in Mining Engineering, İnönü University, 1998

🔬 Academic Positions:

  • Associate Professor, Turgut Özal University, Department of Mining and Mineral Processing, 2023-present
  • Associate Professor, Turgut Özal University, Interdisciplinary Department of Biomedical Engineering, 2023-present
  • Assistant Professor, Turgut Özal University, Department of Mining and Mineral Processing, 2021-2023
  • Lecturer, İnönü University, Department of Mining and Mineral Processing, 2001-2019

📚 Research Interests:

  • Coal and Biomass Pyrolysis
  • Clean Energy Technologies
  • Mineral Processing
  • Waste Biomass Utilization

📝 Selected Publications:

  • “Implementation of Taguchi method, ANOVA and regression analyses to enhance char yield by carbonization in lignite-biomass blended.” – International Journal of Coal Preparation and Utilization, 2024
  • “Evaluation of optimum carbonization conditions of the blended domestic polymeric waste, biomass and lignite in the presence of catalyst by Taguchi and ANOVA optimization analysis.” – Journal of Hazardous Materials Advances, 2022
  • “Investigation of optimal falcon parameters for clean asphaltite concentrate.” – International Journal of Coal Preparation and Utilization, 2022
  • “Theoretical and experimental characterization of Sn-based hydroxyapatites doped with Bi.” – Journal of the Australian Ceramic Society, 2022
  • “Determination of energy value and ash-sulfur content of clean fuel obtained from lignite carbonization at different heating rates.” – Energy Sources Part A: Recovery, Utilization and Environmental Effects, 2021

🏅 Awards and Recognitions:

  • Best Paper Award, International Conference on New Trends in Science and Applications, 2021
  • Outstanding Researcher Award, Turgut Özal University, 2020
  • Excellence in Teaching Award, İnönü University, 2015
Publication Top Notes:

Implementation of Taguchi method, ANOVA and regression analyses to enhance char yield by carbonization in lignite-biomass blended

Parçikan Bitümlü Şeylinin Termal Analiz Kinetiği ve Reaksiyon Mekanizması

Investigation of optimal falcon parameters for clean asphaltite concentrate

Interpretation of combustion properties of raw-pyrolyzed lignite with kinetic data

Evaluation of optimum carbonization conditions of the blended domestic polymeric waste, biomass and lignite in the presence of catalyst by Taguchi and ANOVA optimization analysis

Theoretical and experimental characterization of Sn-based hydroxyapatites doped with Bi

Mr.Umamagesh Ganesan | Industry expert award |Welding Excellence Award

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Mr.Umamagesh Ganesan | Industry expert award |Welding Excellence Award

Mr. Umamagesh Ganesan, LSI-MECH ENGINEERS PVT LTD, India

Umamagesh Ganesan is a seasoned professional with extensive experience in the field of mechanical engineering and industrial management. He holds a Bachelor’s degree in Mechanical Engineering from M S Ramaiah Engineering College in India, which he completed in 1987.

Mr. Ganesan embarked on his professional journey by joining IGP group companies in 1987, where he gained valuable insights and honed his skills in the industry. In 1990, he took on the role of CEO and Managing Partner at Lonestar Industries, a position he has held with dedication and expertise for over three decades.

Throughout his career at Lonestar Industries, Mr. Ganesan has demonstrated remarkable leadership and innovation. He has been instrumental in the development of special-purpose machines for manufacturing bellows of various types, shapes, and specifications, catering to different pressure and temperature ranges. His expertise extends to designing expansion joints based on industry standards such as EJMA and ASME.

Professional Profiles

 

Education and Early Career

After completing his education, Mr. Ganesan embarked on his journey in the engineering domain by joining IGP group companies in 1987. His expertise and dedication quickly propelled him into leadership roles, paving the way for his current position as CEO and Managing Partner at Lonestar Industries since 1990.

Professional Achievements

Under his visionary leadership, Lonestar Industries has achieved numerous milestones and accolades:

  • Developed special purpose machines for manufacturing bellows of various types, shapes, pressures (up to 200 Bar/full vacuum), and extreme temperatures (up to 1450°C or as low as -196°C).
  • Accredited the company with ISO Quality Management Systems, Environmental Management Systems, and ISO 3834 fusion welding certification, showcasing a commitment to excellence and sustainability.
  • Led Lonestar Industries to become the first Indian company approved by IBR for expansion joints and the sole Indian expansion joint manufacturer approved by EIL, earning recognition from global process licensors and EPCs.
  • Attained ASME certifications for Pressure Vessels under Section VIII Division 1 and Division 2, along with developing empirical and theoretical formulas for various engineering calculations, validated through rigorous testing and Finite Element Analysis (FEA).
  • Designed and manufactured the largest size expansion joint (up to 7 meters) in India, demonstrating pioneering capabilities in engineering solutions.

Global Impact and Recognition

Mr. Ganesan’s contributions have extended Lonestar Industries’ reach to over 80 countries, serving critical industries such as power, oil & gas, energy, metallurgy, paper, cement, water pipelines, shipbuilding, chemicals, and waste-to-energy. His strategic vision and technical expertise have positioned Lonestar Industries as one of the top 10 expansion joint manufacturers globally, renowned for delivering high-quality solutions for demanding applications.

Publication Top Notes:

Key parameters that affect the fatigue life of metal bellows-type expansion joint: Another look

Dr. Ali Hashemi | Appraisal evaluation award |Excellence in Research Award

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Dr. Ali Hashemi | Appraisal evaluation award |Excellence in Research Award

Dr. Ali Hashemi, Education, Iran

Ali Hashemi is an accomplished and energetic ELT (English Language Teaching) professional based in Zanjan, Iran. He has a solid history of achievement in education and training, with expertise in teaching, evaluating, and supervising. Ali holds a Ph.D. in TEFL (Teaching English as a Foreign Language) from the University of Yazd, demonstrating his commitment to academic excellence in his field.

Currently, Ali serves as a Lecturer and Course Designer at Teacher Training University (CFU) in Zanjan, where he has been actively involved since 2020. In this role, he not only teaches English but also takes on responsibilities such as designing courses, leading the student internship program, and supervising EFL student teaching and learning activities.

Ali Hashemi’s professional journey includes significant roles such as being a Reviewer for ELT journals since January 2013. He contributes to the academic community by reviewing articles for publication, with some of the journals indexed in Scopus under Sage.

 

Professional Profiles

 

🎓 Education and Expertise

Ali completed his Ph.D. in TEFL from the University of Yazd in 2022. His advanced studies in Teaching English as a Foreign Language have honed his skills in curriculum design, teaching methodologies, and educational leadership.

🏫 Professional Journey

Ali’s professional journey began in 2000 as a Teacher at Education, where he meticulously crafted course materials and fostered engaging classroom discussions. Over the years, he has taken on various roles, including:

  • Lecturer and Instructor (2010)
    • Taught General and Specialized English to university students.
    • Evaluated and graded student performance while supervising projects.
  • Reviewer (2013 – Current)
    • Reviewed articles for ELT journals, contributing to the scholarly discourse in the field.
  • Teacher Training University (CFU) (2020 – onward)
    • Serves as a Lecturer, Course Designer, and Head of Student Internship Program.
    • Supervises EFL student teaching and learning, showcasing his leadership and organizational skills.

🌐 Language Proficiency

Ali is proficient in English, Azeri (Turkish), Persian (Farsi), and Tati. This diverse language skill set enhances his ability to connect with students from various backgrounds.

🌟 Key Skills

Ali’s key skills include:

  • Teaching and Evaluation
  • Leadership and Supervision
  • Curriculum Design
  • Time Management
  • Critical Thinking
  • Multilingual Communication
Publication Top Notes:
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Dr. Mahasweta Mandal | Printing and packaging Industry award |Best Researcher Award

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Dr. Mahasweta Mandal | Printing and packaging Industry award |Best Researcher Award

Dr. Mahasweta Mandal, Jadavpur University, India

Dr. Mahasweta Mandal is a dedicated academician and researcher specializing in the field of Printing Engineering. She currently holds a position as an Assistant Professor in the Printing Engineering Department at Jadavpur University, Kolkata, where she has been contributing significantly since August 2015. Dr. Mandal’s educational background includes a Ph.D. from Jadavpur University, completed in 2021, where her doctoral research focused on “Studies On the Effect of Lightfastness and Waterfastness on Image Permanence of Prints.”

Her academic journey began with a Bachelor of Engineering (B.E.) in Printing Engineering from Jadavpur University in 2010, followed by a Master of Technology (M.Tech.) in Computer Technology from the same institution in 2014. Dr. Mandal’s expertise lies at the intersection of printing technology, image permanence, packaging materials, and quality control methods.

 

Professional Profiles

 

Education:

  • Ph.D. in Studies On the Effect of Lightfastness and Waterfastness on Image Permanence of Prints, Jadavpur University, 2021
  • M.Tech. in Computer Technology, Jadavpur University, 2014
  • B.E in Printing Engineering, Jadavpur University, 2010

Dissertation/Thesis:

Dr. Mahasweta Mandal’s research focuses on the effect of lightfastness and waterfastness on image permanence of prints, particularly in the context of packaging materials. Her work investigates how print stability and color quality change over time, especially in varied storage conditions like exposure to light, water, or deep freeze. Through her detailed studies, she aims to enhance the durability and authenticity of printed products, crucial in industries such as food packaging and medicine.

Professional Experience:

As an Assistant Professor at Jadavpur University since August 2015, Dr. Mandal has been actively involved in teaching undergraduate and postgraduate courses in Printing Engineering. She has mentored students in their research projects and theses, focusing on topics related to image permanence, printing processes, quality control, and color science. Her contributions extend to departmental committees and initiatives, ensuring a comprehensive and up-to-date curriculum.

Achievements:

Dr. Mandal has published 6 articles in reputable peer-reviewed journals, showcasing her expertise and contributions to the field of printing engineering. Her research interests span various aspects of printing and packaging, including investigating lightfastness and waterfastness of prints, improving printing processes’ efficiency and sustainability, and optimizing packaging materials’ performance and environmental impact.

Research Interests:

  1. Investigating the lightfastness and waterfastness of prints to enhance durability and longevity.
  2. Exploring Flexo and Gravure printing processes for improved efficiency and quality.
  3. Researching package printing and quality control methods for high-quality packaging materials.
  4. Studying packaging materials’ properties to optimize performance and reduce environmental impact.
  5. Utilizing artificial intelligence, particularly artificial neural networks, for innovative approaches in printing and packaging processes.

Dr. Mahasweta Mandal’s dedication to academic excellence, coupled with her passion for research and teaching, positions her as a valuable asset in advancing the printing and packaging industry’s knowledge and practices.

Publication Top Notes:
 Artificial neural network approach to predict the lightfastness of gravure prints on the plastic film
Study of the lightfastness properties of prints on blister foils by spectral reflectance
To predict the lightfastness of prints on foil applying artificial neural network

 

Dr. Maryam Khanian |Natural Language Processing award |Women Researcher Award

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Dr. Maryam Khanian |Natural Language Processing award |Women Researcher Award

Dr. Maryam Khanian, University, Australia

Dr. Maryam Khanian Najafabadi is an accomplished academic and researcher known for her significant contributions to the fields of Artificial Intelligence (AI) and Computational Intelligence. With a strong academic background and extensive experience in academia, she has earned international recognition for her work in Tier 1 journals, particularly in areas related to data science, machine learning, and recommender systems.

Dr. Najafabadi completed her Doctor of Philosophy (Ph.D.) in Computer Science with a specialization in Data Science and Machine Learning from Universiti Teknologi Malaysia (UTM) in 2016. Her doctoral thesis focused on developing recommender systems using machine learning algorithms, specifically addressing data sparsity issues through unsupervised and supervised learning techniques.

Prior to her Ph.D., she earned a Master of Science (M.Sc.) degree in Software Engineering with a focus on AI and data mining, also from UTM. She holds a Bachelor of Science (B.Sc.) in Software Engineering and Statistics from University Jihad Arak in Iran.

 

Professional Profiles

 

🎓 Education:

  • Ph.D. in Computer Science (Data Science/Machine Learning)
    Universiti Teknologi Malaysia (UTM), Malaysia, 2013-2016
    Thesis Topic: Developing recommender systems using machine learning algorithms (cross-domain recommender systems)

🔬 Research Experience:

Maryam has led and contributed to various research projects funded by prestigious organizations such as the Malaysia government and Ministry of Higher Education Malaysia. Her research focuses on areas like recommender systems, big data analytics, sentiment analysis, and machine learning/AI. Notable publications include papers on improving collaborative filtering recommendations, big data analytics, and tag recommendation models using feature learning via word embedding.

🌟 Key Skills and Expertise:

  • High-quality teaching and supervision at both undergraduate and postgraduate levels
  • Extensive experience in data science, analytics, and information technology
  • Strong research background with numerous publications in Tier 1 journals
  • Leadership in coordinating programs and strategic development in higher education
  • Proficiency in educational technologies and online delivery methods

Publication Top Notes:

A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback

CITED:86

An impact of time and item influencer in collaborative filtering recommendations using graph-based model

CITED:74

A survey on data mining techniques in recommender systems

CITED:74

MN r. Mahrin, S. Chuprat, and HM Sarkan,” Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data,”

CITED:16

Tag recommendation model using feature learning via word embedding

Prof. Marija Milosevic | Mathematics award |Women Researcher Award

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Prof. Marija Milosevic | Mathematics award |Women Researcher Award

Prof. Marija Milosevic, Faculty of Sciences of Mathematics, University on Nis Serbia, Serbia

Marija Milošević is a highly experienced mathematician and educator, currently serving as a Full Professor at the Faculty of Sciences and Mathematics, University of Niš, Serbia. With a strong background in probability, mathematical statistics, and academic research, she has made significant contributions to both the education sector and the field of mathematics. Her dedication to teaching and mentoring students is evident through her various roles as a teacher, assistant professor, and now a full professor. Apart from her academic pursuits, Marija also possesses computer skills relevant to her work and has a working proficiency in English and basic knowledge of French. She continues to engage in academic research and remains an active member of the academic community.

Professional Profiles

 

📚 Education and Training

  • PhD in Mathematics, School of Mathematics, University of Niš, Serbia (2006 – 2011)
  • Bachelor’s Degree in Mathematics, Faculty of Sciences and Mathematics, University of Niš, Serbia (2001 – 2006)

💻 Computer Skills

  • Proficient in Microsoft Office™ tools and various mathematical software.
  • Mediator (since 2023).

🌍 Language Skills

  • English: B2 level (Listening, Reading), B1 level (Spoken interaction), B2 level (Spoken production and Writing).
  • French: A1 level in all aspects.

Marija Milošević is a dedicated educator and mathematician with a wealth of experience in both academic and secondary education. She has contributed significantly to the field of Probability and Mathematical Statistics and continues to inspire students and colleagues alike through her teaching and research efforts.

Publication Top Notes:

Stability of a class of neutral stochastic differential equations with unbounded delay and Markovian switching and the Euler–Maruyama method

Convergence and almost sure polynomial stability of the backward and forward–backward Euler methods for highly nonlinear pantograph stochastic differential equations

Almost sure exponential stability of the θ-Euler-Maruyama method for neutral stochastic differential equations with time-dependent

Almost sure exponential stability of the θ -Euler–Maruyama method, when θ∈(12,1) , for neutral stochastic differential equations with time-dependent delay under nonlinear growth conditions

The truncated euler–maruyama method for highly nonlinear neutral stochastic differential equations with time-dependent delay

An approximate Taylor method for Stochastic Functional Differential Equations via polynomial condition

Prof. Sowmya T | Intrusion detection system award |Women Researcher Award

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Prof. Sowmya T | Intrusion detection system award |Women Researcher Award

Prof. Sowmya T, Cmrit, India

Sowmya.T is an accomplished AI researcher with a strong academic background, holding a Bachelor of Technology (B.Tech), a Master of Technology (M.Tech), and currently pursuing a Ph.D. in a relevant field. Based in Bangalore, India, she has demonstrated expertise in implementing cutting-edge machine learning and deep learning algorithms, particularly in areas such as image recognition, ML-based optimization techniques, and cloud intrusion detection systems (CIDS).

With over three years of hands-on experience in the industry, Sowmya has a proven track record of achieving exceptional results, including more than 95% accuracy rates in various projects. Her work has focused on reducing resource consumption while enhancing system efficiency through innovative AI approaches.

Professional Profiles

 

💡 Expertise & Accomplishments:

With over 3 years of hands-on experience, Dr. Sowmya specializes in implementing cutting-edge machine learning and deep learning algorithms, particularly in areas like image recognition and ML-based optimization techniques. Her endeavors have yielded exceptional results, boasting accuracy rates exceeding 95% and significantly reducing resource consumption.

👩‍🏫 Academic Contributions:

Dr. Sowmya’s passion for teaching shines through her exceptional skills honed over 6 years in academia. She has not only imparted knowledge but also contributed significantly to research, presenting and publishing her findings in esteemed conferences and international journals.

📚 Publications & Presentations:

Her research contributions have left an indelible mark on the field, with notable publications and presentations including:

  • Co-authoring a chapter on “Intelligent Machine Learning approach for CIDS – Cloud Intrusion Detection system” in Computer Networks, Big Data, and IoT 2021.
  • Presenting papers at ICCBI 2020 and ICCIC 21 on intelligent machine learning approaches for intrusion detection systems and machine learning methods in Autism Spectrum Disorder.
  • Co-authoring papers in reputable journals such as IJISAE and Measurement: Sensors, covering topics like network intrusion detection systems and AI-based security frameworks.
  • Collaborating on innovative frameworks leveraging technologies like blockchain, machine learning, and artificial intelligence to counteract cybersecurity threats in smart cities.

🌐 Future Endeavors:

Awaiting publication of her latest work on “Detection of DoS Attacks Using Machine Learning Based Intrusion Detection System” in IEEE conference proceedings, Dr. Sowmya continues to push the boundaries of AI research, with a steadfast commitment to innovation and excellence.

Publication Top Notes:

A comprehensive review of AI based intrusion detection system

Intelligent machine learning approach for cids—cloud intrusion detection system

Assoc Prof. Dr. Claudia Cherubini | Fluid flow and solute transport award |Outstanding Scientist Award

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Assoc Prof. Dr. Claudia Cherubini | Fluid flow and solute transport award |Outstanding Scientist Award

Assoc Prof. Dr. Claudia Cherubini, Università di Trieste, Italy

Dr. Claudia Cherubini is an accomplished academic and researcher specializing in Environmental Engineering, with a focus on Water Engineering and Hydrogeology. She holds a Ph.D. in Engineering for the Defence of Ecosystems and is currently serving as an Associate Professor in Hydrogeology at the University of Ferrara. Dr. Cherubini’s academic journey began with a Master of Science in Civil Engineering from the Polytechnic of Bari, where she graduated with top honors (110 cum laude). Her dedication to research and academia led her to obtain a Ph.D. in Engineering, further solidifying her expertise in her field.

Throughout her career, Dr. Cherubini has held various academic positions globally, including stints at renowned institutions such as Polytechnical Institute LaSalle Beauvais in France, University of Queensland in Australia, and Brunel University London in the UK. She has also been involved in extensive international collaborations and research projects focused on groundwater management, hydrogeological modeling, and environmental protection.

Professional Profiles

 

Education:

  • M.S. Civil Engineering, Polytechnic of Bari, 2003 (110 cum laude)
  • PhD in Engineering for the Defence of Ecosystems, 2007

Academic Positions:

  • Associate Professor in Water Engineering, University of Trieste
  • Honorary Senior Lecturer in Water Engineering, The University of Queensland, Australia
  • Adjunct Professor, National Institute of Oceanography and Experimental Geophysics (Trieste)
  • National Scientific Habilitation to Full Professor in Italy

Employment History:

Dr. Cherubini has held various academic positions globally, including in Italy, France, the UK, and Australia. Notable roles include:

  • Senior Lecturer in Water Engineering, Brunel University London, UK
  • Lecturer in Water Engineering, University of Queensland, Australia
  • Associate Professor in Hydrogeology, University of Ferrara, Italy

PhD Supervision & Examination:

Dr. Cherubini has extensive experience in supervising and examining PhD students in water engineering, hydrogeology, and related fields, both nationally and internationally.

Editorial & Review Activities:

She serves as an Associate Editor and Editorial Board Member for prestigious journals such as Heliyon (Elsevier), Water (mdpi), and Frontiers in Water. Additionally, she has reviewed papers for several renowned journals in the field of earth sciences and hydrology.

Research & Collaboration:

Her research focuses on groundwater management, geothermal resources, climate change impacts, and coastal hydrogeology. She has collaborated on various funded projects and served as a scientific consultant for government agencies and organizations.

Honors & Awards:

Dr. Cherubini has received several awards and recognitions for her contributions to the field of hydrogeology and environmental engineering, including the Division Outstanding Young Scientists Award from the European Geosciences Union (EGU).

Publication Top Notes:

Modelling of the complex groundwater level dynamics during episodic rainfall events of a surficial aquifer in southern italy

Analysis of gravel back-filled borehole heat exchanger in karst fractured limestone aquifer at local scale

Numerical model of the behavior of chlorinated ethenes in a fractured, karstic limestone aquifer

Development of a robust ensemble meta-model for prediction of salinity time series under uncertainty (case study: Talar aquifer)

Estimating Land Subsidence and Gravimetric Anomaly Induced by Aquifer Overexploitation in the Chandigarh Tri-City Region, India by Coupling Remote Sensing with a Deep Learning Neural Network Model

Assessment of seasonal Borehole Thermal Energy Storage in the seawater intrusion region of a carbonate aquifer