Lea Sandoz-Mey | Academic Recognition | Best Researcher Award

Published on by Scientist Day

Ms. Lea Sandoz-Mey | Academic Recognition | Best Researcher Award

Global Campus of Human Rights | Switzerland

Lea Sandoz-Mey is an accomplished inclusion expert with extensive experience in accessibility, participation, and Disability Studies, firmly rooted in the principles of the UN Convention on the Rights of Persons with Disabilities. She has held leadership and project management roles across Switzerland, driving campaigns, initiatives, and educational programs that foster inclusive structures and sustainable change. As the Founder and President of inclusion360 and an active board member in national and international organizations, she brings together diverse stakeholders to advance human rights and social participation. Her professional journey is complemented by international training in leadership and European studies, as well as recognition in prestigious competitions such as Global Changemakers and Global Teen Leader. Passionate, practical, and visionary, Lea continues to serve as a connector and bridge-builder in shaping a more inclusive society.

Profile: Google Scholar

Featured Publications

“Barrierefreiheit und politische Teilhabe von Menschen mit Behinderungen in Schweizer Parteien”

Mudassir Iqbal | Green Chemistry | Best Researcher Award

Published on by Scientist Day

Prof. Dr. Mudassir Iqbal | Green Chemistry | Best Researcher Award

National University of Sciences and Technology | Pakistan

Dr. Mudassir Iqbal is a Tenured Professor of Chemistry at the National University of Sciences and Technology (NUST), Islamabad, and is internationally recognized for his contributions to cutting-edge research in chemistry and materials science. His academic journey spans prestigious institutions in Europe and Asia, where he gained expertise in nanomaterials, ligand design, organic synthesis, and quantum dot functionalization. His current research explores biopolymers for biomedical applications, advanced nanomaterials for clean energy, task-specific ionic liquids, environmental remediation, and the development of novel therapeutic agents. Alongside his extensive publication record, he has successfully led major funded projects, trained young scientists, and contributed to the advancement of sustainable technologies. Dr. Iqbal’s work continues to bridge fundamental science with real-world applications, making him a highly respected scholar and innovator in his field.

Profile: Google Scholar

Featured Publications

“Synthesis and characterization of layered Nb2C MXene/ZnS nanocomposites for highly selective electrochemical sensing of dopamine”

“Highly efficient diglycolamide‐based task‐specific ionic liquids: synthesis, unusual extraction behaviour, irradiation, and fluorescence studies”

“Diglycolamide-functionalized calix [4] arenes showing unusual complexation of actinide ions in room temperature ionic liquids: role of ligand structure, radiolytic stability”

“Green synthesis and characterization of silver nanoparticles using Cydonia oblong seed extract”

“A highly efficient solvent system containing functionalized diglycolamides and an ionic liquid for americium recovery from radioactive wastes”

“Extraction of Am (III) using novel solvent systems containing a tripodal diglycolamide ligand in room temperature ionic liquids: a ‘green’ approach for radioactive waste processing”

“A novel CMPO-functionalized task specific ionic liquid: synthesis, extraction and spectroscopic investigations of actinide and lanthanide complexes”

“Preorganization of diglycolamides on the calix [4] arene platform and its effect on the extraction of Am (III)/Eu (III)”

“Magnetic phase transition from paramagnetic in Nb2AlC-MAX to superconductivity-like diamagnetic in Nb2C-MXene: an experimental and computational analysis”

“Synthesis and Am/Eu extraction of novel TODGA derivatives”

“6-deoxy-aminocellulose derivatives embedded soft gelatin methacryloyl (GelMA) hydrogels for improved wound healing applications: In vitro and in vivo studies”

“Plutonium (IV) complexation by diglycolamide ligands—coordination chemistry insight into TODGA-based actinide separations”

Raffaele Marotta | Industry Collaboration | Young Innovator Award

Published on by Scientist Day

Dr. Raffaele Marotta | Industry Collaboration | Young Innovator Award

University of Naples Federico II | Baker Hughes | Italy

Dr. Raffaele Marotta is an accomplished researcher in vehicle dynamics, control systems, and AI-driven estimation, with proven academic and industrial impact. He earned his Ph.D. in Industrial Engineering (Mechatronics) with honors from the University of Naples Federico II, focusing on AI-enhanced vehicle dynamics. His career includes key roles at the Italian National Research Council (CNR), TU Ilmenau, Tenneco, ZF Group, and currently Baker Hughes, where he leads the development of advanced control algorithms for sustainable energy systems. He has contributed significantly to the European OWHEEL project, developing active chassis control and virtual sensing strategies. His research integrates Kalman filtering, neural networks, reinforcement learning, and digital twins into practical solutions for automotive and energy applications. He has published 22 documents, with 83 citations across 42 sources and an h-index of 6, reflecting strong scientific visibility and influence. His works, published in IEEE and SAE journals, include pioneering studies on wheel displacement estimation, traction force prediction, and vehicle mass estimation. International collaborations across Italy, Germany, Belgium, and Lithuania highlight his global network and impact. Recognized by Nova Talent’s top  global talent network, he also mentors young engineers in STEM leadership programs. With his blend of theoretical innovation, experimental validation, and industrial application, Dr. Marotta stands out as a promising candidate for global research excellence awards.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

“Multi-output physically analyzed neural network for the prediction of tire–road interaction forces”

“Deep learning for the estimation of the longitudinal slip ratio”

“Estimation of the tire-road interaction forces by using Pacejka’s formulas with combined slips and camber angles”

“Active control of camber and toe angles to improve vehicle ride comfort”

“Improvement of traction force estimation in cornering through neural network”

“Camber angle estimation based on physical modelling and artificial intelligence”

“Electric vehicle corner architecture: driving comfort evaluation using objective metrics”

“A PID-Based Active Control of Camber Angles for Vehicle Ride Comfort Improvement”

“A strain-based estimation of tire-road forces through a supervised learning approach”

“On the prediction of the sideslip angle using dynamic neural networks”

“Neural Network-Based Virtual Measurement of Road Vehicle Wheel Displacements”

“Enhancing Wheel Vertical Displacement Estimation in Road Vehicles Through Integration of Model-Based Estimator with Artificial Intelligence”

“On the measurement of unsprung mass displacement of road vehicles through a model-based virtual sensor”

“Model-Based Vehicle Mass Estimation for Enhanced Adaptive Cruise Control Performance”

Fatemeh Rezaei-Tazangi | Neuroscience Discoveries | Best Research Article Award

Published on by Scientist Day

Dr. Fatemeh Rezaei-Tazangi | Neuroscience Discoveries | Best Research Article Award

Fasa University of Medical Sciences | Iran

Dr. Fatemeh Rezaei-Tazangi, affiliated with Fasa University of Medical Sciences, Iran, is a distinguished researcher in the fields of stem cells, reproductive medicine, cancer biology, and herbal therapeutics. She holds a Ph.D. in Anatomical Sciences from Ahvaz Jundishapur University of Medical Sciences, building on her earlier studies in midwifery and anatomical sciences at Shiraz University of Medical Sciences. Her scholarly contributions are widely recognized, with 59 published documents indexed in Scopus, cited by 568 publications, amounting to 630 citations and an h-index of 13, reflecting the strong impact of her research. Dr. Rezaei-Tazangi’s investigations bridge experimental and translational science, with a special focus on mesenchymal stem cells, oxidative stress, fertility preservation, and the therapeutic promise of natural compounds and nano-based drug formulations. She has provided valuable insights into mechanisms such as ferroptosis, autophagy, epithelial-mesenchymal transition, and stem cell-derived secretomes in relation to cancer and regenerative medicine. Her collaborative research record includes work with over 260 co-authors, highlighting her active engagement with the global scientific community. By combining advanced cellular biology with herbal and nanotechnology-based approaches, she contributes to the development of innovative strategies for reproductive health and oncology. With a growing research impact and a diverse body of work, Dr. Rezaei-Tazangi is an emerging leader in biomedical sciences, committed to advancing healthcare solutions through interdisciplinary and impactful research.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

“Receptor tyrosine kinase inhibitors in cancer”

“Crosstalk between ferroptosis and the epithelial-mesenchymal transition: Implications for inflammation and cancer therapy”

“Cancer stem cells in colorectal cancer: Signaling pathways involved in stemness and therapy resistance”

“The emerging role of regulatory cell-based therapy in autoimmune disease”

“Nano-scale delivery systems for siRNA delivery in cancer therapy: New era of gene therapy empowered by nanotechnology”

“Taurine effects on Bisphenol A-induced oxidative stress in the mouse testicular mitochondria and sperm motility”

“Harnessing function of EMT in cancer drug resistance: a metastasis regulator determines chemotherapy response”

“The therapeutic potential of common herbal and nano-based herbal formulations against ovarian cancer: New insight into the current evidence”

“Tumor-derived exosomal non-coding RNAs as diagnostic biomarkers in cancer”

“Quercetin and Osteoarthritis: A Mechanistic Review on the Present Documents”

“The endocannabinoid system, a new gatekeeper in the pharmacology of human hepatocellular carcinoma”

“A review of methods for preserving male fertility”

“Can mesenchymal stem cells derived from adipose tissue and their conditioned medium improve ovarian functions? A mini-review”

“Effects of Wharton’s jelly mesenchymal stem cells-derived secretome on colon carcinoma HT-29 cells”

Yihang Zhong | Research Excellence | Best Researcher Award

Published on by Scientist Day

Mr. Yihang Zhong | Research Excellence | Best Researcher Award

Chinese University of Hong Kong | China

Jimmy (Yihang Zhong) is an emerging scholar in linguistics and psycholinguistics whose research bridges theoretical inquiry and experimental practice. His work focuses on first and second language acquisition, morpho-syntactic and semantic processing, and the cognitive mechanisms underlying language in both typical and atypical populations. With publications in leading SSCI and Scopus-indexed journals, ongoing high-impact peer-reviewed submissions, and international conference presentations, he has already established a strong academic presence early in his career. His training across Hong Kong, Australia, and China, combined with hands-on experience in neurolinguistics and fMRI research at Shenzhen University, demonstrates his interdisciplinary expertise and global outlook. Complemented by technical proficiency, translation skills, and active science communication, Jimmy stands out as a promising researcher contributing meaningfully to the advancement of cognitive and linguistic sciences.

Profile: Orcid

Featured Publications

“Asperger writers’ attention and awareness in written production”

“Aspect in telicity acquisition: Evidence from Mandarin children”

“Effects of syntactic role on L1 & L2 processing of pronoun resolution”

“From generative hierarchicality to parallel-dialogic syntax: Modeling typological protolanguage”

“L2 cognitive construal & morpho-syntactic acquisition of pseudo-passive construction”

“Aspect in telicity acquisition: Evidence from Mandarin children”

“Can the Galilean ideal of formal linguistics be sustained?”

Rohan Samir Kumar Sachan | Nanotechnology Innovations | Best Researcher Award

Published on by Scientist Day

Dr. Rohan Samir Kumar Sachan | Nanotechnology Innovations | Best Researcher Award

CGC University | India

Dr. Rohan Samir Kumar Sachan is an accomplished researcher and academic specializing in microbiology, with a strong focus on sustainable biotechnology and microbial applications. With a Ph.D. in Microbiology from Lovely Professional University, he has contributed extensively to advancing eco-friendly bioplastic production, bio-cement research, and nanobiotechnology. His prolific publication record in reputed international journals, copyright registrations, and active role as a peer reviewer for leading publishers highlight his scientific credibility and research impact. Beyond research, he has gained valuable teaching experience as an Assistant Professor and demonstrated excellence in academic leadership, communication, and interdisciplinary collaboration. His achievements in competitive exams (NET, GATE), conference presentations, and international certifications reflect his commitment to continuous learning and global engagement. Fluent in multiple languages and skilled in advanced data analysis and visualization tools, Dr. Sachan combines technical expertise with innovation, making him a promising scientist and educator dedicated to addressing environmental and biomedical challenges through microbiological research.

Profile: Google Scholar 

Featured Publications

“Gold nanoparticles in nanobiotechnology: from synthesis to biosensing applications”

“Overcoming Mycobacterium tuberculosis Drug Resistance: Novel Medications and Repositioning Strategies”

“Plant-mediated gold nanoparticles in cancer therapy: Exploring anti-cancer mechanisms, drug delivery applications, and future prospects”

“Valorization of sugar extracted from wheat straw for eco-friendly polyhydroxyalkanoate (PHA) production by Bacillus megaterium MTCC 453”

“A review on clinical manifestation and treatment regimens of UTI in diabetic patients”

“Optimizing Polyhydroxyalkanoate production using a novel Bacillus paranthracis isolate: a response surface methodology approach”

“Narrative-based misinformation in India about protection against COVID-19: not just another “moo-point”

“Advancement in cheese production technology”

“Chitosan in wound healing: a mini review on ethical perspective on sustainable and biomedical biomaterials”

“Nanotechnology in environmental clean-up”

“Biochemical and molecular mechanism of wheat to diverse environmental stressesc”

Satyanarayana | Material Science | Best Researcher Award

Published on by Scientist Day

Dr. G.R. Satyanarayana | Material Science | Best Researcher Award

Sir C R Reddy College | Eluru | India

Dr. G. R. Satyanarayana is an accomplished Professor of Chemistry and Director of the Research Development Cell at Sir C.R. Reddy College (Autonomous), Eluru. With more than two decades of postgraduate teaching and research experience, he has built a strong reputation as a scholar, mentor, and innovator. His academic journey, spanning M.Sc., M.Phil., Ph.D., and MDCA qualifications, reflects his deep commitment to both science and technology. Over the years, he has made significant contributions in physical chemistry, nanomaterials, organic synthesis, molecular interactions, and analytical method development. His pioneering work in drug analysis using HPLC-MS and LCMS/MS has added value to pharmaceutical and bioanalytical research. He has published 9 documents, accumulating 28 citations and achieving an h-index of 2, contributing valuable insights to chemistry and interdisciplinary sciences. Alongside his publications, he has successfully registered or been granted six patents in India and the U.K., covering innovations in nanostructured sensors, catalysts, perovskite solar cells, green synthesis methods, and advanced capacitors. His ability to merge theoretical knowledge with practical applications demonstrates his strength in translational research. Beyond research, Dr. Satyanarayana has actively participated in 37 national and international conferences, seminars, workshops, and faculty development programmes, enriching both his own knowledge and that of the wider academic community. He has successfully completed seven funded minor research projects, showcasing his leadership in project execution and resource management. His role as a mentor has inspired countless students to pursue careers in research, while his collaborative approach has strengthened institutional research culture.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

“Probing the intermolecular interactions in the binary liquid mixtures of o-chlorophenol with alkoxyethanols through ultrasonic, transport and FT-IR spectroscopic studies”

“Viscometric study of molecular interactions in dimethyl carbonate + n-alkoxyethanol mixtures at different temperatures”

“Theories of ultrasonic velocities and their application in binary liquid mixtures of o-chlorophenol with some aliphatic esters at different temperatures”

“Theoretical Velocities and Viscosities of Binary Mixtures of Diethyl Malonate with Alkoxy Alkanols”

“Steric and electronic effects to interpret non-covalent interactions in binary mixtures of dimethyl carbonate and isomeric cresols through thermophysical, acoustic and …”

“Evaluation and comparative study of theoretical ultrasonic velocities in binary liquid mixtures of o-chloro phenol with alkoxyethanols at different temperatures and atmospheric pressure”

“The study of intermolecular interactions in [Bmim][PF6] + 1-octyl-2-pyrrolidone binary mixtures from volumetric, acoustic, optical and spectroscopic measurements”

“Thermo-Physical Studies on Molecular Interactions in Liquid Binaries of Diethyl Malonate with Isomeric Xylenes at Different Temperatures”

“A Comparative Analysis of Ultra Sound Velocity in Binary Mixtures of Diethyl Malonate with Branched Alkanols by Theoretical and Experimental Methods”

Jawhara El Hmidi | Structural Engineering | Women Researcher Award

Published on by Scientist Day

Ms. Jawhara El Hmidi | Structural Engineering | Women Researcher Award

Faculty of Sciences | Sidi Mohamed Ben Abdellah University | Morocco

EL HMIDI Jawhara, 27, is a Moroccan PhD candidate and engineer specializing in Embedded Systems and Industrial Computing. She is currently pursuing her doctorate at the SIGER Laboratory (FST & ENSA, Morocco), focusing on the architecture and optimization of intelligent embedded chargers for electric vehicles. Her academic journey began with a Scientific Baccalaureate in Mathematics (2015), followed by integrated preparatory classes (2015–2017) and an engineering degree in Embedded Systems and Industrial Informatics from ENSA Fez (2020). Professionally, she has gained significant experience as an Electrical/Electronic Architect at STELLANTIS (2020–2022), where she contributed to the design of REPAS vehicle functions, optimizing ECU wake-up/sleep modes and system power supply control. She also completed internships at LEAR Corporation, ALTEN, and CBGN, where she worked on ISO 26262 functional safety compliance, real-time monitoring tools, and industrial automation. In parallel with her research, she has established herself as a dedicated lecturer, teaching across Faculté des Sciences et Techniques de Fès, Euro-Mediterranean University of Fez, and the Private University of Fez. She has taught courses such as Parallel Computing, Human-Machine Interfaces, Advanced 32-bit Microcontrollers, Parallel Programming, SoC/SoPC, and DSP systems, with teaching loads exceeding 200 hours annually. Her dual expertise in academic research and industrial practice positions her as a promising researcher and educator in the fields of intelligent embedded systems, automotive electronics, and next-generation computing architectures. She embodies a strong balance of technical innovation, teaching excellence, and applied engineering experience, making her a valuable contributor to both academia and industry.

Profile: ORCID

Featured Publications

” Optimization approach of LLC resonant converter parameters for electric vehicles based on interior-point algorithm”

Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

Published on by Scientist Day

Dr. Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

Dr. Prabhat Kumar Bharti | School of Computing and Electrical Engineering, Indian Institute of Technology (IIT) Mandi, Himachal Pradesh | India

Dr. Prabhat Kumar Bharti is a Postdoctoral Fellow at IIT Mandi with a Ph.D. in Computer Science & Engineering from IIT Patna, specializing in Artificial Intelligence and Natural Language Processing for peer review systems. He has served as Assistant Professor at KLEF University and Goel Institute of Technology, teaching Machine Learning, Deep Learning, and related subjects with excellent student feedback. An accomplished researcher with publications in Journal of Information Science, Scientometrics, Plos ONE, and others, he has also received the Best Paper Runner-Up Award at ICADL 2021. Actively engaged in academic service, he has held leadership roles in IEEE, reviewed for leading journals, and contributed to curriculum design and accreditation, reflecting his strong commitment to research, teaching, and community development.

Academic Profile 

Google Scholar

Education

Dr. Prabhat Kumar Bharti holds a strong academic foundation in computer science and engineering, beginning with a Bachelor of Technology in Information Technology, followed by a Master of Technology in Computer Science and Engineering with a focus on web structure mining. He pursued doctoral research at the Indian Institute of Technology, Patna, where his thesis explored artificial intelligence techniques for peer review and research lineage establishment. His academic journey reflects a consistent focus on advanced computing, artificial intelligence, and data-driven methodologies that form the basis of his professional expertise.

Experience

He has served in both teaching and research capacities at reputed institutions across India. His career includes roles as Assistant Professor at universities and institutes where he taught subjects such as Machine Learning, Deep Learning, Artificial Neural Networks, Database Management Systems, and Operating Systems. He has also held administrative responsibilities, contributing to innovation coordination, student counseling, and accreditation processes. Currently, he is a Postdoctoral Fellow at the Indian Institute of Technology, Mandi, where he is expanding his research portfolio while mentoring students and contributing to academic excellence through teaching and scholarly engagement.

Research Interests

His research interests lie at the intersection of artificial intelligence, natural language processing, and computational linguistics, with a particular emphasis on the peer review process. He has developed models for analyzing review comments, predicting reviewer decisions, assessing tone and objectivity, and generating recommendations. His work extends to large language models, sentiment analysis, causal inference, and advanced learning strategies such as few-shot learning and chain-of-thought reasoning. He also explores the applications of Bayesian methods, counterfactual reasoning, and interpretability in AI, contributing to the creation of trustworthy and transparent intelligent systems.

Awards and Recognitions

Dr. Bharti has received significant recognition for his contributions to research and academia. He qualified the National Eligibility Test for Assistant Professor conducted by the University Grants Commission of India. His paper on predicting peer review decisions earned the Best Paper Runner-Up Award at an international conference on digital libraries, showcasing the impact of his innovative approach to peer review analysis. Alongside awards, he has been an active reviewer for reputed journals and conferences, further highlighting his reputation as a respected member of the global research community.

Publications

A novel benchmark resource for computational analysis of peer reviews — T. Ghosal, S. Kumar, P.K. Bharti, A. Ekbal — PLOS ONE — 2022

Peerassist: leveraging on paper-review interactions to predict peer review decisions — P.K. Bharti, S. Ranjan, T. Ghosal, M. Agrawal, A. Ekbal — International Conference on Asian Digital Libraries — 2021

PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews — P.K. Bharti, M. Navlakha, M. Agarwal, A. Ekbal — Language Resources and Evaluation — 2024

Sharing is caring! Joint multitask learning helps aspect-category extraction and sentiment detection in scientific peer reviews — S. Kumar, T. Ghosal, P.K. Bharti, A. Ekbal — ACM/IEEE Joint Conference on Digital Libraries (JCDL) — 2021

How confident was your reviewer? Estimating reviewer confidence from peer review texts — P.K. Bharti, T. Ghosal, M. Agrawal, A. Ekbal — International Workshop on Document Analysis Systems — 2022

PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Journal on Digital Libraries — 2024

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Conference on Theory and Practice of Digital Libraries — 2022

Conclusion

Dr. Prabhat Kumar Bharti stands out as a dynamic researcher whose contributions to Artificial Intelligence and Natural Language Processing reflect both depth and innovation. His strong academic record, impactful publications, teaching excellence, and active service to the academic community position him as a truly deserving candidate for the Best Researcher Award. With his continued dedication, he is poised to make even greater contributions to global research and knowledge advancement.

Zahra Amini | Emerging Technologies | Best Researcher Award

Published on by Scientist Day

Assist. Prof. Dr. Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Sharif University of Technology | Iran

Dr. Zahra Amini is an Assistant Professor of Civil Engineering at Sharif University of Technology, specializing in intelligent transportation systems, sustainable mobility, and operations research for urban traffic management. She earned her Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley, and has led impactful projects in Iran and the U.S., ranging from corridor management to urban traffic resilience. With several high-impact publications, awards, and ongoing research on data-driven and machine learning approaches to transportation systems, she is recognized for advancing reliable, sustainable, and intelligent urban mobility solutions.

Academic Profile 

Google Scholar

Education

Dr. Zahra Amini completed her higher education in Civil and Environmental Engineering at the University of California, Berkeley, where she advanced her expertise in transportation systems and sustainable infrastructure. Alongside her major studies, she pursued minors in Industrial Engineering, Operations Research, and City and Regional Planning, which provided her with a strong interdisciplinary foundation. Her doctoral thesis focused on data-driven approaches for developing robust signal plans in urban transportation networks, reflecting her commitment to integrating advanced analytical methods with practical engineering challenges. This academic background equipped her with the technical knowledge and research skills that now define her scholarly and professional contributions.

Professional Experience

Dr. Amini serves as an Assistant Professor in the Department of Civil Engineering at Sharif University of Technology, where she teaches both undergraduate and graduate courses. Her teaching portfolio includes systems engineering, traffic engineering, and advanced transportation analysis, complemented by the design of a specialized course in Intelligent Transportation Systems. In addition to her academic role, she manages several research and development projects aimed at improving urban transportation and logistics planning. She has also gained international experience through her work at California Partners for Advanced Transportation Technology, contributing to projects focused on corridor management and traffic system optimization.

Research Interests

Dr. Amini’s research is centered on intelligent transportation systems, sustainable mobility solutions, and operations research applications in transportation system design. She focuses on integrating data-driven and machine learning methods to analyze and improve urban traffic flow, evaluate network resilience, and design reliable transport strategies. Her work also explores the operational sustainability of urban traffic networks and the role of intelligent systems in shaping resilient cities. By bridging theoretical models with applied research, she contributes innovative solutions to the pressing challenges of modern transportation.

Awards and Honors

Dr. Amini has received recognition for her teaching and research contributions through multiple awards. She has been honored for designing innovative courses in Intelligent Transportation Systems and has secured research grants supporting the development of advanced mobility solutions. Her scholarly excellence has been acknowledged with distinctions such as best paper and best presentation awards at international conferences. Additionally, she has been awarded prestigious fellowships that supported her academic journey and research endeavors, reflecting her status as a promising leader in the field of transportation engineering.

Publications

Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran
Author: M.E. Doraki, A. Avami, M. Boroushaki, Z. Amini
Journal: Transportation Research Part D: Transport and Environment
Year: 2024

Optimizing offsets in signalized traffic networks: A case study
Author: Z. Amini, S. Coogan, C. Flores, A. Skabardonis, P. Varaiya
Journal: IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
Author:  S. Sabzekar, A. Roudbari, A. Dehghani, A. Safaeiestalkhzir, Z. Amini
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2025

Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
Author: E. Hassanzadeh, Z. Amini
Journal: Scientia Iranica
Year: 2024

Unsupervised learning for topological classification of transportation networks
Author: S. Sabzekar, M.R.V. Malakshah, Z. Amini
Journal: arXiv preprint –
Year: 2023

Data-Driven Approaches for Robust Signal Plans in Urban Transportation Networks
Author: Z. Amini
Journal:  University of California, Berkeley (Thesis)
Year: 2018

Spatial network-wide traffic flow imputation with graph neural network
Author: S. Sabzekar, R. Bahmani, M. Ghasemi, Z. Amini
Journal:  International Journal of Intelligent Transportation Systems Research
Year: 2025

Analyzing the impacts of gasoline price change on nationwide trip demand and drivers’ behavior using regression discontinuity design
Author: S. Saeidi, Z. Amini
Journal: Scientia Iranica
Year: 2024

Conclusion

Dr. Zahra Amini’s distinguished academic background, impactful research in intelligent and sustainable transportation systems, and recognized leadership in advancing innovative solutions firmly establish her as an outstanding candidate for the Best Researcher Award. Her dedication to bridging research, education, and real-world applications makes her not only deserving of this recognition but also a valuable contributor to the global scientific community.