Maurizio Benfatto | Complexity in Biology | Distinguished Scientist Award

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Prof. Dr. Maurizio Benfatto | Complexity in Biology | Distinguished Scientist Award

Prof. Dr. Maurizio Benfatto | Complexity in Biology | First Researcher at National Institute for Nuclear Physics | Italy

Complexity in Biology defines the interdisciplinary vision and scientific journey of Prof. Dr. Maurizio Benfatto, a distinguished theoretical physicist whose career bridges fundamental physics, synchrotron radiation science, and biologically inspired complex systems. Prof. Dr. Maurizio Benfatto earned his Doctoral Degree (Laurea) in Theoretical Physics from the University of Pisa, Italy, and went on to build an internationally respected career through postdoctoral fellowships at INFN Frascati and Stanford University, followed by long-term research leadership at the Laboratori Nazionali di Frascati (INFN), where he served as Senior Researcher and later Senior Associate. His professional experience also includes an Associate Professorship at Zaragoza University and qualification as Full Professor in Theoretical Physics of Matter. Prof. Dr. Maurizio Benfatto’s research interests center on complexity in biological and condensed matter systems, synchrotron and free-electron laser radiation, theoretical modeling, and computational approaches for biological applications. His research skills span theoretical physics, advanced computation, X-ray spectroscopy, synchrotron-based methodologies, and interdisciplinary data interpretation. Prof. Dr. Maurizio Benfatto has received notable honors, including appointment as Visiting Professor for Senior Scientist by the Chinese Academy of Sciences and leadership roles in major European scientific committees and Marie-Curie projects. In conclusion, Prof. Dr. Maurizio Benfatto stands as a globally influential scientist whose work on complexity in biology and advanced radiation techniques has significantly shaped modern theoretical and applied research.

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Structural Determination of a Short-Lived Excited Iron (II) Complex by Picosecond X-Ray Absorption Spectroscopy

W. Gawelda, V.T. Pham, M. Benfatto, et al. – Physical Review Letters, 98(5), 057401 (2007) · Cited by: 292
General Multiple-Scattering Scheme for the Computation and Interpretation of X-Ray Absorption Fine Structure

T.A. Tyson, K.O. Hodgson, C.R. Natoli, M. Benfatto – Physical Review B, 46(10), 5997 (1992) · Cited by: 286
A Unifying Scheme for the Interpretation of X-Ray Absorption Spectra Based on Multiple-Scattering Theory

C.R. Natoli, M. Benfatto – Journal de Physique Colloques, 47(C8), C8-11–C8-23 (1986) · Cited by: 272
Geometrical Fitting of Experimental XANES Spectra by a Full Multiple-Scattering Procedure

M. Benfatto, S. Della Longa – Journal of Synchrotron Radiation, 8(4), 1087–1094 (2001) · Cited by: 264
Critical Reexamination of Orbital Ordering in LaMnO3 and La0.5Sr1.5MnO4

M. Benfatto, Y. Joly, C.R. Natoli – Physical Review Letters, 83(3), 636 (1999) · Cited by: 249
Multiple-Scattering Regime and Higher-Order Correlations in X-Ray Absorption Spectra of Liquid Solutions

M. Benfatto, C.R. Natoli, A. Bianconi, et al. – Physical Review B, 34(8), 5774 (1986) · Cited by: 238

Kira Phan | Medical Note Classification | Research Excellence Award

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Ms. Kira Phan | Medical Note Classification | Research Excellence Award

Ms. Kira Phan | Medical Note Classification | Undergraduate Student at California State University | United States

Medical Note Classification is a core focus of Ms. Kira Phan, an emerging computer science researcher and undergraduate scholar pursuing a Bachelor of Science in Computer Science & Engineering at California State University, San Bernardino, with an expected graduation in May 2028. Ms. Kira Phan has developed a strong academic foundation in computational thinking, software development, and applied machine learning through rigorous coursework and hands-on research. As a Research Assistant in the Department of Computer Science & Engineering, Ms. Kira Phan has played a key role in preprocessing datasets, creating data frames, and developing a machine learning program designed to classify medical notes into distinct medical categories, where she also fine-tuned model performance, improved accuracy, built the first functional prototype, and presented the work at a peer and faculty research conference. Her professional experience further includes teaching and tutoring with the Fontana Unified School District, where Ms. Kira Phan provided individualized instruction in U.S. History, mathematics, and Earth Science, demonstrating strong communication and mentoring skills. Her research interests center on medical note classification, applied machine learning, healthcare data analysis, and ethical AI systems. Ms. Kira Phan’s research skills include proficiency in Python, C++, Google Colab, data preprocessing, model optimization, collaborative development, and technical documentation. Her awards and honors include the Mojave Desert Gem and Mineral Society Scholarship, Middle Class Scholarship, College Corps Program, and participation in the PATHS Summer Research Program. In conclusion, Ms. Kira Phan represents a promising future researcher whose interdisciplinary skills, academic excellence, and commitment to impactful healthcare-driven computing position her for continued success in advanced research and innovation.

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Featured Publications


Comparative Study of Machine Learning Models for Textual Medical Note Classification

Computers, 2025  |  Journal Article

DOI: 10.3390/computers15010007  |  ISSN: 2073-431X

Author: Kira Phan

Kawthar Abla | Nanotechnology | Women Researcher Award

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Assist. Prof. Dr. Kawthar Abla | Nanotechnology | Women Researcher Award

Assist. Prof. Dr. Kawthar Abla | Nanotechnology | Assistant professor at Beirut Arab University | Lebanon

Nanotechnology Assist. Prof. Dr. Kawthar Abla is an accomplished academic and researcher specializing in pharmaceutical nanotechnology and advanced drug delivery systems, currently serving as Assistant Professor at Beirut Arab University and Postdoctoral Researcher at the American University of Beirut. Assist. Prof. Dr. Kawthar Abla holds a Bachelor’s degree in Pharmacy, a Master’s degree in Pharmaceutical Sciences, and a Ph.D. in Pharmaceutical Sciences with a strong focus on nanoparticulate drug delivery to overcome biological barriers. Assist. Prof. Dr. Kawthar Abla’s professional experience spans teaching, biomedical engineering research, and interdisciplinary collaboration. Her research interests include nanovehicle-based drug delivery, biomedical nanotechnology, and translational pharmaceutical sciences. Her research skills cover formulation, characterization, experimental design, and data analysis. Assist. Prof. Dr. Kawthar Abla has earned notable recognition, including the LIRA Fund award and honors from women-in-research initiatives. In conclusion, Assist. Prof. Dr. Kawthar Abla exemplifies emerging leadership and innovation in nanotechnology-driven pharmaceutical research.

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Featured Publications

Freeze-drying: A flourishing strategy to fabricate stable pharmaceutical and biological products
KK Abla, MM Mehanna – International Journal of Pharmaceutics, 628, 122233 (2022) · Cited by 79
Smart stimuli-responsive liposomal nanohybrid systems: A critical review of theranostic behavior in cancer
JK Alwattar, AT Mneimneh, KK Abla, MM Mehanna, AN Allam – Pharmaceutics, 13(3), 355 (2021) · Cited by 49
Superiority of microemulsion-based hydrogel for non-steroidal anti-inflammatory drug transdermal delivery
MM Mehanna, KK Abla, S Domiati, H Elmaradny – International Journal of Pharmaceutics, 622, 121830 (2022) · Cited by 42
Tailored limonene-based nanosized microemulsion: Formulation, physicochemical characterization and in vivo skin irritation assessment
MM Mehanna, KK Abla, HA Elmaradny – Advanced Pharmaceutical Bulletin, 11(2), 274 (2020) · Cited by 38
Propranolol-loaded limonene-based microemulsion thermo-responsive mucoadhesive nasal nanogel
KK Abla, S Domiati, R El Majzoub, MM Mehanna – Gels, 9(6), 491 (2023) · Cited by 34
Application of Box-Behnken design in the preparation, optimization, and in-vivo pharmacokinetic evaluation of oral tadalafil-loaded niosomal film
KK Abla, AT Mneimneh, AN Allam, MM Mehanna – Pharmaceutics, 15(1), 173 (2023) · Cited by 31

Daniela Rizzo | Artistic Techniques | Women Researcher Award

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Prof. Daniela Rizzo | Artistic Techniques | Women Researcher Award

Prof. Daniela Rizzo | Artistic Techniques | Professor at University of Salento | Italy

Artistic Techniques define the academic and professional identity of Prof. Daniela Rizzo, a distinguished Italian scholar and practitioner in cultural heritage, artistic methodologies, and material culture studies. Prof. Daniela Rizzo is affiliated with the Department of Cultural Heritage at the University of Salento, where she has built a long-standing career combining technical expertise, academic teaching, and heritage promotion. Prof. Daniela Rizzo holds advanced education in the field of cultural and artistic heritage, complemented by continuous professional training in ethics, digital skills, sustainability, documentation systems, and inclusive cultural practices. Her professional experience spans permanent technical–scientific roles at the University of Salento since 2005, contract teaching in “Laboratory of Artistic Techniques,” international staff training at Université Paris 1 Panthéon-Sorbonne, coordination of exhibitions, cultural forums, and leadership of outreach initiatives for schools and communities. Prof. Daniela Rizzo’s research interests focus on artistic techniques, conservation of movable cultural assets, diagnostic methodologies for artistic materials, heritage tourism, and sustainable reuse of cultural resources. Her research skills include artistic material analysis, heritage documentation, database development, exhibition coordination, interdisciplinary collaboration, and public engagement. Prof. Daniela Rizzo has received professional recognition through career advancement selection, leadership appointments, and responsibility for nationally and regionally funded cultural projects. In conclusion, Prof. Daniela Rizzo represents a model of academic dedication, where artistic techniques, heritage science, education, and societal impact converge to preserve and reimagine cultural assets for future generations.

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Featured Publications 

A review of polymer-based materials for fused filament fabrication (FFF): focus on sustainability and recycled materials – Polymers, 2022 · Cited by 271

Development and characterization of sustainable PLA/Olive wood waste composites for rehabilitation applications using Fused Filament Fabrication (FFF) – Journal of Building Engineering, 2022 · Cited by 86

Sustainable polymer composites manufacturing through 3D printing technologies by using recycled polymer and filler – Polymers, 2022 · Cited by 54

Bio-composite filaments based on poly (lactic acid) and cocoa bean shell waste for fused filament fabrication (FFF): production, characterization and 3D printing – Materials, 2024 · Cited by 17

An innovative method for the recycling of waste carbohydrate-based flours – Polymers, 2020 · Highly Relevant Recent Work

Istikhar Ali | Mental Health | Best Academic Researcher Award

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Dr. Istikhar Ali | Mental Health | Best Academic Researcher Award

Dr. Istikhar Ali | Mental Health | Visiting Fellow at Institute of Policy Studies and Advocacy | India

Mental Health researcher Dr. Istikhar Ali is an interdisciplinary public health sociologist whose work examines how socio-political structures, inequality, and marginalization shape health behaviors and mental well-being. Dr. Istikhar Ali holds a PhD and M.Phil from Jawaharlal Nehru University, an MA in Sociology, and a B.Ed, with international exposure as a DAAD Visiting Fellow in Germany. Dr. Istikhar Ali’s professional experience spans policy research, large-scale health projects, academic teaching, and consultancy with institutions such as IPSA, Venu Geriatric Institute, Jamia Millia Islamia, and Mathematica. His research interests include mental health, minority studies, social stratification, and health policy, supported by strong skills in qualitative and quantitative analysis, teaching, and project leadership. Dr. Istikhar Ali has contributed to nationally and internationally funded projects, earning recognition for research excellence and academic mentorship, and continues to advance equitable, evidence-based approaches to mental health and social justice.

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Featured Publications

Methodological Considerations of Diet Assessment in an Older Indian Population in a Nationally Representative Longitudinal Study – Harmonised Diagnostic Assessment of Dementia for the Longitudinal Ageing Study in India
– BMC Public Health, Accepted 2025
Everyday Life of People Living with Dementia and Its Impact on Their Lifestyle
– The Journal of the Alzheimer’s Association, 2025
Discrimination in Healthcare: Exploring the Impact of Institutional Communalism on Muslims in India
– Economic and Political Weekly, 2024
Navigating Complexity: Challenges and Reflexivity of a Muslim Researcher
– Berkeley Journal of Sociology, 2024
Inequalities in Health and Nutritional Status in India: A Critical Review of NFHS and NNMB Datasets through a Public Health Perspective
– International Journal of Creative Research Thoughts, 2022
Globalisation, Medical Tourism and Indian Health Care System
– A.P.H. Publishing Corporation, 2018

Dimitrios Gerontitis | Neural Networks | Best Researcher Award

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Mr. Dimitrios Gerontitis | Neural Networks | Best Researcher Award

Mr. Dimitrios Gerontitis | Neural Networks | Ph.D, Candidate at International Hellenic University | Greece

Neural Networks form the core of Mr. Dimitrios Gerontitis’s interdisciplinary academic and professional profile, blending applied mathematics, computational science, and emerging AI technologies. Mr. Dimitrios Gerontitis has pursued continuous education and training through specialized seminars, international workshops, and advanced programs in AI for business and cloud engineering, strengthening his analytical and digital expertise. His professional experience spans teaching mathematics, technical service within the Greek Army, and active collaboration in international research programs. His research interests focus on neural networks, computational modeling, applied mathematics, and intelligent systems. His research skills include mathematical modeling, algorithmic thinking, peer review, and interdisciplinary data analysis. Mr. Dimitrios Gerontitis has earned professional recognition as a reviewer for leading international scientific journals. In conclusion, Mr. Dimitrios Gerontitis represents a forward-looking researcher committed to advancing neural network–driven innovation through strong mathematical foundations and continuous learning.

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Featured Publications

Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application
– IEEE Transactions on Neural Networks and Learning Systems, 2020 | Cited by: 78
Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse
– Neural Processing Letters, 2018 | Cited by: 47
Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses
– Complexity, 2017 | Cited by: 41
A Robust Noise Tolerant Zeroing Neural Network for Solving Time-Varying Linear Matrix Equations
– Neurocomputing, 2022 | Cited by: 38
A Family of Varying-Parameter Finite-Time Zeroing Neural Networks for Solving Time-Varying Sylvester Equation and Its Application
– Journal of Computational and Applied Mathematics, 2022 | Cited by: 38
A Higher-Order Zeroing Neural Network for Pseudoinversion of an Arbitrary Time-Varying Matrix with Applications to Mobile Object Localization
– Information Sciences, 2022 | Cited by: 35
Solving the Time-Varying Tensor Square Root Equation by Varying-Parameters Finite-Time Zhang Neural Network
– Neurocomputing, 2021 | Cited by: 25

Ella Brookes | Dermatology | Research Excellence Award

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Ms. Ella Brookes | Dermatology | Research Excellence Award

Ms. Ella Brookes | Dermatology | COA Lead at Sanofi UK | United Kingdom

Dermatology Ms. Ella Brookes is a Clinical Outcome Assessment Lead specializing in dermatology and immuno-inflammatory diseases, with strong expertise in patient-centered evidence generation. Her education includes an MSc in Public Health from the London School of Hygiene and Tropical Medicine and a BSc in Psychology from Kingston University, supported by clinical and teaching certifications. Professionally, Ms. Ella Brookes leads COA strategy at Sanofi, managing global regulatory, HTA, and clinical development programs across dermatology indications. Her research interests focus on patient-reported outcomes, disease modeling, and digital health tools. Her research skills include qualitative and quantitative methods, COA development, and regulatory engagement. Ms. Ella Brookes has earned professional recognition through leadership in global collaborations, and she concludes as a key contributor advancing evidence-based dermatology and patient-focused clinical innovation.

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Featured Publications

Improvement and Maintenance of Clinical Outcome Assessments in Atopic Dermatitis with Amlitelimab
– Journal of the European Academy of Dermatology and Venereology, 2025
Validation of a Scoring Algorithm for the Clinician-Reported Outcome Tool “Prurigo Activity and Severity (PAS)”
– Journal of the European Academy of Dermatology and Venereology, 2024
Estimating Meaningful Change Thresholds for Skin Pain, Sleep, and Quality of Life in Prurigo Nodularis
– Journal of the European Academy of Dermatology and Venereology, 2024
Heterogeneity of Patient Preferences for Benefits and Risks of Antiplatelet Therapies
– Pharmacoepidemiology and Drug Safety, 2020
Fatigue and Pain Remain Prominent and Impactful in Patients with Systemic Lupus Erythematosus
– Cross-Sectional Survey, United States, 2020
Patient-Centered Benefit-Risk Analysis of Transcatheter Aortic Valve Replacement
– F1000Research, 2019
Patient Experiences with Obstructive and Non-Obstructive Hypertrophic Cardiomyopathy
– Conceptual Model of Symptoms and Quality of Life, 2020

Jun Araki | Reconstructive Surgery | Research Excellence Award

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Dr. Jun Araki | Reconstructive Surgery | Research Excellence Award

Dr. Jun Araki | Reconstructive Surgery | MD, PhD Candidate at Shizuoka Cancer Center | Japan

Reconstructive Surgery defines the clinical and academic career of Dr. Jun Araki, a distinguished specialist in plastic, reconstructive, and aesthetic surgery at Shizuoka Cancer Center Hospital, Japan. Dr. Jun Araki received his medical education at Yamanashi University School of Medicine, followed by advanced residency, graduate training, and postdoctoral fellowships through the University of Tokyo and international centers in the USA, Taiwan, Belgium, and Spain. His professional experience integrates high-level clinical practice with translational research in tissue repair, wound healing, transplantation, and microsurgery. Dr. Jun Araki’s research interests focus on regenerative medicine, reconstructive oncology, and innovative surgical techniques, supported by strong skills in experimental design and clinical application. His excellence is recognized through numerous national and international awards, reflecting his global impact. In conclusion, Dr. Jun Araki exemplifies leadership, innovation, and dedication in advancing reconstructive surgery worldwide.

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Faetured Publications

ASO Visual Abstract: Functional Outcomes after Subtotal/Total Glossectomy with Microsurgical Reconstruction: A Multicenter Prospective Observational Study in Japan
– Annals of Surgical Oncology, 2025
Functional Outcomes after Subtotal/Total Glossectomy with Microsurgical Reconstruction: A Multicenter Prospective Observational Study in Japan
– Annals of Surgical Oncology, 2025
Anorectal Auto Transplantation in Swine: An Experimental Model
– British Journal of Surgery, 2024

Davinder Kumar Madaan | Economics | Research Excellence Award

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Prof. Davinder Kumar Madaan | Economics | Research Excellence Award

Prof. Davinder Kumar Madaan | Economics | Retired Professor at Punjabi University | India

Economics is the focus of Prof. Davinder Kumar Madaan’s distinguished academic and professional career, spanning over 33 years of teaching and 33 years of research with 17 years as a full professor and 19 years in academic administration. Prof. Davinder Kumar Madaan holds a Ph.D. in Economics, an M.A. in Economics, an M.A. in Public Administration, and a Postgraduate Diploma in Computer Applications from Punjabi University and Kurukshetra University. He has published 4 books and 98 research papers in areas including International Trade and Development Economics. Prof. Davinder Kumar Madaan has served as Dean and Head of the School of Social Sciences at Punjabi University, Secretary of the Indian Economic Association, and Honorary Secretary of the Indian Institute of Public Administration, Patiala Branch. His expertise includes economic research, policy analysis, and academic leadership. Prof. Davinder Kumar Madaan has been recognized for his contributions to economic scholarship, shaping policy discussions, and mentoring the next generation of economists, leaving a lasting impact on academia and public administration.

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Featured Publications

Indo-Bangladesh Economic Relations and SAARC
– Deep and Deep Publications, 1996 | Cited by: 22
NGOs and Socio-Economic Development Opportunities
– Deep and Deep Publications, 2000 | Cited by: 18
Indo-Pakistan Trade Cooperation and SAARC
– Peace and Democracy in South Asia 2 (1-2), 71-87, 2006 | Cited by: 16
SAARC: Origin, Development and Programmes: From First to the Ninth SAARC Summit
– No Title, 1997 | Cited by: 11
India’s New Economic Policy: A Macro Study
– Indian Journal of Asian Affairs 8 (1-2), 104-13, 1995 | Cited by: 9
Impact of COVID-19 on Indian Economy
– Edited by Rekha Jagannath, 2021 | Cited by: 6
Understanding Non-Tariff Trade Barriers Between India and Pakistan
– Centre for Research in Rural and Industrial Development, 2015 | Cited by: 6
SAARC: Origin and Development
– SAARC: Dynamics of Regional Cooperation in South Asia 1, 2000 | Cited by: 5

Mehrnaz Zargarzadeh | Transport Planning | Research Excellence Award

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Dr. Mehrnaz Zargarzadeh | Transport Planning | Research Excellence Award

Dr. Mehrnaz Zargarzadeh | Transport Planning | Researcher at University of Aveiro | Portugal

Transport Planning Dr. Mehrnaz Zargarzadeh is a transport planning researcher and engineer with strong international academic and professional experience in sustainable mobility, urban transport systems, and spatial planning. Dr. Mehrnaz Zargarzadeh holds a PhD in Spatial Planning from the University of Coimbra, a Master’s degree in Road and Traffic Engineering from Ruhr-Universität Bochum, and Bachelor’s degrees in Civil Engineering from the Universities of Wuppertal and Isfahan. Dr. Mehrnaz Zargarzadeh has worked as a transport engineer for the Municipality of Tehran and as a researcher on major urban, logistics, cycling, and public transport projects, including EU-funded initiatives. Research interests include transport planning, cycling mobility, logistics performance, and inclusive energy transitions, supported by skills in transport modeling, policy analysis, GIS-based planning, and mobility assessment. Dr. Mehrnaz Zargarzadeh has received specialized international training and contributes impactful, people-centered solutions to contemporary transport challenges.

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Featured Publications

Health Benefits of Cycling as a Form of Active Travel: A Pilot Empirical Study
– International Journal of Environmental Research and Public Health, 2026
Positive Energy Districts as Contributors to Enhancing Sustainability Pillars in Social Housing Neighbourhoods
– Book Chapter, 2026
Urban Suitability for Active Transportation: A Case Study from Coimbra, Portugal
– Networks and Spatial Economics, 2025
What is a Sustainable Neighbourhood? The Role of Sustainable Neighbourhoods on Active Transportation and Citizen Health
– Book Chapter, 2025
The Process of Brownfield Redevelopment in the Point of View of European and American Planners
– International Congress on Science & Engineering, 2018
Analysis of Redevelopment Process of Brownfields in World Best Practices
– International Congress on Civil Engineering, Architecture, and Urban Development of Contemporary Iran, 2017
Evaluating Global Approach Change in Parking Requirement Policies
– 16th International Conference on Traffic and Transportation Engineering, 2017
Effect on the Physical and Rheological Properties of Bitumen
– International Congress on Civil Engineering, Architecture & Urban Development, 2016