Iqra qaisar | Environmental sciences | Best Researcher Award

Ms. Iqra qaisar | Environmental sciences | Best Researcher Award

Iqra Qaiser, from Rawalpindi, Pakistan, is a dedicated and ambitious professional with a passion for environmental sciences and education 🌱📘. Known for her structured approach and growth mindset, she continuously seeks to improve herself both personally and professionally. Her teaching journey spans across coaching institutions and schools, where she has inspired students in Biology and Chemistry for grades 9-10 🧪🧬. Iqra believes in lifelong learning and has engaged with global organizations such as WHO and WWF 🌍💡. She thrives in dynamic environments, embraces constructive feedback, and is always ready to contribute positively to her team. Iqra’s commitment to excellence and sustainability, along with her multilingual skills and leadership training, makes her a versatile and forward-thinking individual with a vision to create impactful change. 🚀🌟

Profile

Education 🎓

🎓 2020-2024: Bachelor’s in Environmental Sciences from Fatima Jinnah Women University – secured an A grade.
📚 2018-2020: F.Sc. Pre-Medical from Army Public School & College, Rawalpindi – 79%.
📘 2018: Matriculation in Sciences – scored 84%.
📜 Throughout her academic career, Iqra has remained committed to excellence, combining strong academic performance with active participation in extracurriculars and research-based events.
🧾 She earned multiple certifications in leadership, environmental awareness, communication, and global health issues from prestigious platforms like WHO, UNICEF, and Udemy.
💬 Fluent in communication and trained in risk assessment and infodemic management, she demonstrates academic versatility and a strong work ethic.
💻 Iqra’s dedication to environmental change and scientific advancement is further reflected in her participation in seminars, boot camps, and digital courses, building a well-rounded educational foundation. 🌿🌎

Experience 👨‍🏫

👩‍🏫 4 years part-time teaching Biology & Chemistry to Grades 9–10 in various coaching centers.
🏫 6 months full-time as a Biology teacher at Future Foundation School, Rawalpindi.
👩‍⚕️ 6 months as a Weekend Carer at Shifa Medical Complex, Rawalpindi – providing care & compassion.
🌍 Internship at the National Cleaner Production Centre – gaining hands-on environmental field experience.
🧠 Iqra’s teaching journey showcases her strong subject command, classroom management skills, and ability to simplify complex concepts.
👥 She brings empathy and attention to detail from her caregiver experience into education and teamwork settings.
🛠️ Equipped with Microsoft Office skills and strong time management, she’s effective both independently and collaboratively.
🌐 Frequent engagements with WHO and WWF officials have enhanced her communication, professionalism, and confidence on global platforms.
🧑‍🔬 Her diverse roles reflect her adaptability, care-driven mindset, and commitment to both education and sustainable health practices.

Awards & Recognitions 🏅

🏅 Awards & Honors (150 words):
🌟 Certificate of Appreciation – 2nd International Multidisciplinary Conference, Mehran University (2021).
🎨 WWF Poster Competition – World Pangolin Day 2023.
🗳️ Voter Education & Mass Awareness Program (2022).
🌐 WHO: COVID-19 Infodemic Management + Mass Gathering Risk Assessment (2021).
🧪 Seminar Contribution: Advancements in Biochemistry – FJWU.
👩‍💻 Participant – “Pakistani Girls Code” Workshop by Lincoln Corners, 2022.
🧠 Udemy: Leadership, ChatGPT for Work, and more (2023–2024).
🎓 UNICEF E-course – “I am in a Changing Environment” (2024).
📞 “Speak English Professionally” by Georgia Institute of Technology (2024).
🔬 Mars Multiomics Research Bootcamp – 20-day E-course (2024).
🏅 These awards highlight Iqra’s proactive learning style and engagement with global and national organizations.
📚 Her certifications reflect a balanced profile of science, leadership, digital tools, and civic participation, making her a dynamic learner.
🌿 A trailblazer with a purpose!

Research Interests 🔬

🌍 Iqra’s research interest lies at the intersection of environmental sustainability, biology, and public health.
🧫 She is especially passionate about environmental conservation, waste management, biodiversity, and climate change awareness.
🧪 Her academic background in environmental sciences enables her to explore eco-solutions through scientific analysis and hands-on projects.
💉 Participation in WHO’s public health initiatives sparked her interest in communicable diseases and community health resilience.
📊 Her involvement in digital training programs and boot camps supports her focus on data-driven environmental research.
🧬 Iqra aspires to contribute to sustainable development goals by linking fieldwork and scientific literacy in educational settings.
🌿 She’s also intrigued by the impact of biochemistry and ecology in pollution control and human wellness.
📈 Iqra is driven to bridge the gap between science education and environmental activism through meaningful, research-based community interventions.
🧠 A future researcher with purpose and potential!

Publications 
  • Impact of Air Pollution and Smog on Human Health in Pakistan: A Systematic Review

    Environments
    2025-02-03 | Journal article
    Part of ISSN: 2076-3298
    CONTRIBUTORS: Shazia Iram; Iqra Qaisar; Dr. Rabia Shabbir; Pomee, M.S.; Matthias Schmidt; Elke Herti

Antonio Pato | Esclerosis Múltiple | Best Researcher Award

Dr. Antonio Pato | Esclerosis Múltiple | Best Researcher Award

Dr. Antonio Pato Pato is a dedicated neurologist 🧠 with over 20 years of experience in patient care, clinical practice, and research in Galicia, Spain . After earning his MD from the University of Santiago de Compostela 🎓, he specialized in Neurology and pursued a PhD in Health Sciences, graduating cum laude 🏅. Passionate about brain health, he has served at top hospitals including Povisa Vigo and the University Hospitals of Ourense and Vigo 🏥. He currently works in the Dementia Unit, provides inpatient care, and actively contributes to neurological education and professional societies 📚.

Profile

Education 🎓

Dr. Pato completed his Bachelor’s in Medicine at the University of Santiago de Compostela (1997) 📘, earned specialization in Neurology (2003) 🧠, a PhD in Health Sciences from University of Vigo (2010) 🎓, and pursued advanced training including Master’s in Neuroimmunology (2017) 🧬, Neurosonology (2022) 🧪, and Demyelinating Diseases (2023) . He has completed over 240 CFC credits in continued medical education, reflecting lifelong learning .

Experience 👨‍🏫

Dr. Pato served as Neurology Specialist at Hospital Povisa, Vigo (2003–2022) 🏥, University Hospital of Ourense (2022–2024) 🧑‍⚕️, and currently at Vigo University Hospital Complex (2024–present) where he manages dementia and inpatient neurology 🧠. He’s also led academic training for internal medicine and family medicine residents (2007–2020) 👨‍🏫, contributed to regional seminars, and held educator roles at the University of Santiago de Compostela 🎓.

Awards & Recognitions 🏅

Dr. Pato earned cum laude for his doctoral thesis 🎖️, has led the Demyelinating Diseases Study Group of the Galician Neurology Society (2020–2024) 🧬, and served on its Board since 2011. He’s been a frequent speaker at major neurology congresses in Spain, Europe, and the U.S. , and has mentored students and doctoral candidates in medicine, fostering academic excellence.

Research Interests 🔬

Dr. Pato’s research spans dementia, epilepsy, headaches, and multiple sclerosis 🧠. He has authored 32 peer-reviewed international papers 📑, 8 national journal articles, and 17 book chapters 📘. His work emphasizes advancing clinical knowledge and improving diagnostic and therapeutic approaches in neurology, with regular contributions to the American Academy of Neurology and national conferences 🌐💡.

Publications 

Fucai Li | Structural Health Monitoring and Fault Diagnosis | Best Researcher Award

Dr. Fucai Li | Structural Health Monitoring and Fault Diagnosis | Best Researcher Award

Prof. Fucai Li is a distinguished academic at Shanghai Jiao Tong University 🇨🇳, specializing in vibration and ultrasonic signal processing, structural health monitoring, and intelligent sensor systems 🔍. With extensive global research experience across China 🇨🇳, Japan 🇯🇵, and Australia 🇦🇺, he has significantly contributed to mechanical engineering through innovative diagnostics and smart material systems 🛠️. He has published over 150 peer-reviewed papers and led numerous national and industrial research projects 📚🔬. His work bridges academia and industry, with collaborations involving giants like Bao Steel and Shanghai Electric ⚙️.

Profile

Education 🎓

Prof. Li earned his Ph.D. in Engineering from Xi’an Jiaotong University in 2003 🎓, where he also completed his Bachelor’s degree in Mechanical Engineering in 1998 🏫. His strong academic foundation from one of China’s premier technical universities laid the groundwork for a career focused on high-impact research 🧠. Throughout his education, he developed core expertise in mechanics, signal processing, and automation, setting the stage for innovations in sensor technologies and structural diagnostics 📡🔧.

Experience 👨‍🏫

Prof. Li currently serves as Professor at Shanghai Jiao Tong University (2015–present) 🏫. He was an Associate Professor there from 2009–2015 and held earlier roles including Assistant Professor (2003–2005) 🎓. His international experience includes research fellowships in Japan (JSPS, University of Tokyo, 2007–2009) 🇯🇵 and Australia (University of Sydney, 2005–2007) 🇦🇺. This global exposure enriched his expertise in structural innovation and smart systems 🌐. Across academia, he has shaped future engineers and researchers with cutting-edge knowledge and practical application insights 📘🔍.

Awards & Recognitions 🏅

Prof. Li has secured over 30 research grants from top national bodies like NSFC, Ministry of Science and Technology, and major industries including Bao Steel and Shanghai Electric 💼💡. He is widely recognized for his pioneering work in structural health monitoring and has published more than 150 influential journal papers 📑. His contributions to smart sensor networks and machine diagnostics have earned him national acclaim and trust from key industrial stakeholders 🤝. Through sustained innovation and impact, he has built a legacy of excellence in engineering research and collaboration 🏅.

Research Interests 🔬

Prof. Li’s research targets intelligent diagnostics and health monitoring of mechanical systems 🤖. His focus areas include vibration and ultrasonic signal analysis, fiber optic and piezo-electric sensor networks, and AI-driven fault detection systems 📊📡. He develops smart sensing technologies for predictive maintenance and infrastructure resilience, with applications ranging from aerospace to heavy machinery 🏗️✈️. His work integrates signal processing, materials science, and systems engineering to enable next-gen monitoring solutions. With over 150 publications and extensive funding, his research continues to push the frontier of smart mechanical engineering 🚀.

Publications 

Jolanta Dorszewska | Neurobiology | Women Researcher Award

Dr. Jolanta Dorszewska | Neurobiology | Women Researcher Award

Professor Jolanta Dorszewska is a globally recognized neuroscientist and pharmacologist based at Poznan University of Medical Sciences, Poland 🧠🇵🇱. She leads the Laboratory of Neurobiology, exploring the molecular and genetic basis of neurodegenerative diseases 🧬. With over 35 years of academic experience, her work spans neurochemistry, clinical neurology, and genetic research in Alzheimer’s and Parkinson’s disease 🧪. A prolific author, she has contributed to 80+ research papers, 50+ reviews, and 30+ book chapters 📚. She serves on editorial boards of top neuroscience journals and holds leadership roles in national and international neurological societies 🌍.

Profile

Education 🎓

Prof. Dorszewska earned her M.Sc. in Pharmacy with distinction from Poznan University of Medical Sciences in 1987 🏅. She completed board certifications in Pharmaceutical Analytics (1990 & 1997) and received her Ph.D. in 1996 🧪. In 2004, she qualified as an Associate Professor and achieved full Professorship in 2016 🎓. Her academic growth includes training in medical genetics from 2012 to 2020 🧬. Her education reflects an evolving blend of pharmacy, neurobiology, and genetics, forming the foundation of her current research excellence 💡.

Experience 👨‍🏫

Prof. Dorszewska began as an Assistant in the Dept. of Pharmacy (1987-88), then in Clinical Neurochemistry (1988-96) at PUMS 👩‍🔬. She was a Research Scientist in New York (1999–2000) 🗽 and has led the Laboratory of Neurobiology since 2004 🧠. She became Full Professor in 2022 🏛️. She also lectured at the National High Medical School in Pila (2012–2018) 📖. Her career blends hands-on research, global collaboration, and dedicated academic leadership 📚. She continues to mentor, publish, and drive innovations in neurology and neurochemistry 🚀

Awards & Recognitions 🏅

Awards and Honors:
Prof. Dorszewska is a Local Honorary Member of the 12th World Congress on Controversies in Neurology (2018) 🌐. She has served as Guest Editor for 6 prestigious theme issues and holds editorial roles in top-tier journals like Frontiers in Molecular Neuroscience and Current Alzheimer Research 📘. A section and associate editor for journals across the USA, UK, and Poland 🌍, she’s a key figure in scientific publishing 🖋️. She’s affiliated with the Polish Academy of Sciences and international neurological societies and has co-edited 5 books 📚.

Research Interests 🔬

Research Focus:
Her research spans lipid metabolism in hypoxia 🧫, cerebral sterols 🧠, neurotransmitters (serotonin, dopamine) 🧪, apoptosis in aging and disease (Alzheimer’s, Parkinson’s) 💔, and gene polymorphisms (MTHFR, MAO-B, PARK) 🧬. She investigates homocysteine metabolism, catecholamine pathways, and molecular changes in neurodegeneration 🧠. Since 2009, she’s focused on genetic mutations (PARK, APOE), biomarkers (ASN, microRNAs), and migraine genetics ⚙️. She uses advanced techniques like HPLC, PCR, ELISA, and immunohistochemistry 🔍. Her interdisciplinary work integrates neurobiology, pharmacogenomics, and molecular neuroscience in tackling brain diseases 🚀.

Publications 
  • Genetic variants of ZNF746 and the level of plasma Parkin, PINK1, and ZNF746 proteins in patients with Parkinson’s disease

    IBRO Neuroscience Reports
    2025-06 | Journal article
    CONTRIBUTORS: Jolanta Dorszewska; Jolanta Florczak-Wyspiańska; Bartosz Słowikowski; Wojciech Owecki; Oliwia Szymanowicz; Ulyana Goutor; Mateusz Dezor; Paweł P. Jagodziński; Wojciech Kozubski
  • Kinesiotherapeutic Possibilities and Molecular Parameters in Multiple Sclerosis

    Sclerosis
    2025-04-03 | Journal article
    CONTRIBUTORS: Katarzyna Wiszniewska; Małgorzata Wilk; Małgorzata Wiszniewska; Joanna Poszwa; Oliwia Szymanowicz; Wojciech Kozubski; Jolanta Dorszewsk
  • Unraveling the Role of Proteinopathies in Parasitic Infections

    Biomedicines
    2025-03-03 | Journal article
    CONTRIBUTORS: Mikołaj Hurła; Damian Pikor; Natalia Banaszek-Hurła; Alicja Drelichowska; Jolanta Dorszewska; Wojciech Kozubski; Elżbieta Kacprzak; Małgorzata Paul
  • Expression of Neuronal Nicotinic Acetylcholine Receptor and Early Oxidative DNA Damage in Aging Rat Brain—The Effects of Memantine

    International Journal of Molecular Sciences
    2025-02-14 | Journal article
    CONTRIBUTORS: Małgorzata Anna Lewandowska; Agata Różycka; Teresa Grzelak; Bartosz Kempisty; Paweł Piotr Jagodziński; Margarita Lianeri; Jolanta Dorszewska

Amar Salehi | Reinforcement Learning | Best Researcher Award

Dr. Amar Salehi | Reinforcement Learning | Best Researcher Award

Dr. Amar Salehi is a postdoctoral researcher at South China University of Technology 🇨🇳, specializing in microrobotics 🤖, AI 🧠, and biosystems engineering 🌱. With a Ph.D. in Mechanical Engineering of Biosystems 🎓 from the University of Tehran 🇮🇷, he developed intelligent and independent control systems for magnetic microrobots. His work integrates machine learning, deep learning, and bio-inspired design for environmental and biomedical applications 🌍🧬. Passionate about innovation, he has contributed to several peer-reviewed journals 📚, international conferences 🌐, and interdisciplinary projects. He also served as a teaching assistant and reviewer and held leadership roles in scientific societies 👨‍🏫. A top-ranked scholar in national entrance exams 🏆, Dr. Salehi actively collaborates across borders for research and development in cutting-edge AI and robotics 🔬.

Profile

Education 🎓

Dr. Salehi earned his Ph.D. in Mechanical Engineering of Biosystems 🎓 from the University of Tehran (2019–2024), focusing on intelligent magnetic microrobot control 🤖. He completed his M.S. at Isfahan University of Technology (2013–2015) 🧪, where he explored fluid heat transfer using CFD methods and mechanical behavior modeling with neural networks. His B.S. was from Razi University (2008–2012) in Biosystems Mechanical Engineering 🔧🌾. A consistent top performer, he ranked 2nd in the Ph.D. entrance exam and 90th in the M.S. exam among thousands 🏅. His academic record features exceptional GPAs and thesis scores 🌟. Dr. Salehi’s interdisciplinary education blends mechanical systems, AI, and biology, building a strong foundation for his current microrobotics and biosensor research 🔬📊.

Experience 👨‍🏫

Experience (150 words): Dr. Salehi is currently a Postdoctoral Fellow at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology 🇨🇳 (2024–present), working on intelligent agents and microrobotics 🤖. Previously, he was a teaching assistant at the University of Tehran, supporting physics and mechanical engineering courses 👨‍🏫. He also taught part-time at Azad University, Iran (2016–2019) 📘. As a research assistant at the AIAX Lab, he contributed to AI and advanced control systems. He led several interdisciplinary projects, including a joint Iran-Turkey research on microfluidic biochips 🧫. A reviewer for “The Innovation” journal, he is proficient in tools like COMSOL, SolidWorks, Python, and statistical analysis 📊🖥️. He also chaired a student startup “Green Daal Mechanics” and served in university and parliamentary scientific committees 🚀📈.

Awards & Recognitions 🏅

Awards and Honors (150 words): Dr. Salehi received the Best Oral Presentation Award 🥇 at IRAC 2024 for his work on deep learning and microrobots 🤖. Ranked 2nd in the national Ph.D. entrance exam and 90th in the M.S. exam, he also achieved excellent scores in his thesis evaluations (Ph.D.: 19.65/20, M.S.: 19.49/20) 🏆. His academic and research excellence has earned him recognition in national and international forums 📜. He has been an active member of the Scientific Association of Biosystems Engineering and the Interdisciplinary Scientific Student Association at the University of Tehran 🧠. He also served as Editor-in-Chief of the New Green Industry Journal 🌱. With strong leadership in university-industry interaction, he contributes to Iran’s agricultural, food, and energy research panels and policy discussions 🧑‍🔬📢.

Research Interests 🔬

.Research Focus (150 words): Dr. Salehi’s research lies at the intersection of microrobotics 🤖, artificial intelligence 🧠, and biosystems 🌱. His Ph.D. work focused on intelligent, model-free control of magnetic microrobots using deep reinforcement learning in real-world environments 🔍. He explores biosensor optimization using genetic algorithms 🧬, natural language interfaces for microrobot control 🗣️, and micro/nano-systems for biomedical and environmental applications 🌍. He integrates fuzzy logic, ANN, and reinforcement learning in his predictive modeling. Ongoing research includes yield prediction in intercropping systems 🌾 and AI-driven environmental cleanup technologies. Dr. Salehi’s goal is to create autonomous, intelligent microsystems that can navigate, sense, and interact with biological and physical environments, with potential applications in diagnostics, therapy, and sustainability 🧪♻️.

Publications 

 

 

 

Farshad Sadeghpour | Data prediction | Best Researcher Award

Dr. Farshad Sadeghpour | Data prediction | Best Researcher Award

Farshad Sadeghpour (b. 1996) 🇮🇷 is a Petroleum Engineer and Data Scientist 💻🛢️ with expertise in reservoir engineering, petrophysics, and AI applications in the energy sector. Based in Tehran, Iran 📍, he holds a Master’s and Bachelor’s in Petroleum Exploration. With extensive experience in EOR, SCAL/RCAL analysis, and machine learning, Farshad has contributed to both academic and industrial R&D at RIPI, NISOC, and PVP. He has published multiple research articles 📚, won international awards 🏆, and participated in key petroleum projects. He served in the military 🪖 and actively collaborates with academia and industry on AI-driven energy solutions.

Profile

Education 🎓

🧑‍🎓 Master’s in Petroleum Engineering (Petroleum Exploration), Petroleum University of Technology, Abadan 🇮🇷 (2019–2022) | GPA: 18.82/20
🎓 Bachelor’s in Petroleum Engineering, Islamic Azad University (Science & Research Branch), Tehran 🇮🇷 (2015–2019) | GPA: 19.14/20
📚 Courses covered include reservoir engineering, geomechanics, well-logging, and advanced data analytics.
🛠️ Projects include CO₂ storage modeling, permeability prediction via AI, and LWD-based mud loss forecasting.
📊 Developed key industry collaborations with NISOC, RIPI, and OEID through thesis, internships, and military service projects.
💡 Honed computational and simulation skills using MATLAB, Python, COMSOL, Petrel, and ECLIPSE.
🏛️ Academic mentors: Dr. Seyed Reza Shadizadeh, Dr. Bijan Biranvand, Dr. Majid Akbari.

Experience 👨‍🏫


🔬 Computer Aided Process Engineering (CAPE) – Petroleum Reservoir Engineer (Nov 2024–Present)
🛢️ Petro Vision Pasargad – Reservoir Engineer & Lab Operator (Sep 2023–May 2024)
🧠 Research Institute of Petroleum Industry (RIPI) – Petroleum Engineer, Data Scientist (Mar 2023–Apr 2024)
🏭 National Iranian South Oil Company (NISOC) – Petroleum Engineer, Petrophysicist (Mar 2021–Nov 2024)
🧪 Internships: NIOC – Exploration Management, Oil & Energy Industries Development (OEID)
📊 Key contributions include EOR analysis, SCAL/RCAL lab testing, permeability modeling, machine learning pipelines, and field data analysis.
🧾 Delivered reports, simulations, and AI models supporting production optimization and reservoir characterization.

Awards & Recognitions 🏅

🥉 3rd Prize Winner – EAGE Laurie Dake Challenge 2022 (Madrid, Spain) 🌍
🎖️ Recognized for thesis excellence in AI-driven mud loss prediction with NISOC collaboration
📌 Acknowledged during military service project with RIPI for developing ANN-based well log models
🏅 Published in high-impact journals such as Energy, Geoenergy Science and Engineering, and JRMGE
✍️ Co-author of multiple peer-reviewed papers and under-review articles across petroleum engineering disciplines
🔬 Worked alongside top researchers including Dr. Ostadhassan, Dr. Gao, and Dr. Hemmati-Sarapardeh
🛠️ Actively participated in multidisciplinary teams combining AI, geomechanics, and petrophysics
📢 Regular presenter and contributor at petroleum conferences and AI-in-energy seminars.

Research Interests 🔬

📌 AI & ML applications in petroleum engineering 🧠🛢️ – including ANN, genetic algorithms, and deep learning
📊 Mud loss zone prediction, formation permeability modeling, CO₂ storage feasibility using ML
🧪 Experimental rock mechanics: nanoindentation, geomechanical upscaling, SCAL/RCAL testing
📈 Petrophysical property estimation in carbonate and unconventional reservoirs
🌍 Reservoir simulation, LWD analysis, and smart data integration using Python, Petrel, COMSOL
📖 Notable studies include: elastic modulus upscaling, kerogen behavior under pyrolysis, RQI/FZI modeling
🔬 Interdisciplinary projects bridging data science with geoscience and reservoir engineering
🤝 Collaboration with academic and industry leaders to develop practical, AI-driven solutions for energy challenges.

Publications 
  • Elastic Properties of Anisotropic Rocks Using an Stepwise Loading Framework in a True Triaxial Testing Apparatus

    Geoenergy Science and Engineering
    2025-04 | Journal article
    CONTRIBUTORS: Farshad Sadeghpour; Hem Bahadur Motra; Chinmay Sethi; Sandra Wind; Bodhisatwa Hazra; Ghasem Aghli; Mehdi Ostadhassan
  • Storage Efficiency Prediction for Feasibility Assessment of Underground CO2 Storage: Novel Machine Learning Approaches

    Energy
    2025-04 | Journal article
    CONTRIBUTORS: Farshad Sadeghpour
  • A new petrophysical-mathematical approach to estimate RQI and FZI parameters in carbonate reservoirs

    Journal of Petroleum Exploration and Production Technology
    2025-03 | Journal article
    CONTRIBUTORS: Farshad Sadeghpour; Kamran Jahangiri; Javad Honarmand
  • Effect of stress on fracture development in the Asmari reservoir in the Zagros Thrust Belt

    Journal of Rock Mechanics and Geotechnical Engineering
    2024-11 | Journal article
    CONTRIBUTORS: Ghasem Aghli; Babak Aminshahidy; Hem Bahadur Motra; Ardavan Darkhal; Farshad Sadeghpour; Mehdi Ostadhassan
  • Comparison of geomechanical upscaling methods for prediction of elastic modulus of heterogeneous media

    Geoenergy Science and Engineering
    2024-08 | Journal article
    CONTRIBUTORS: Farshad Sadeghpour; Ardavan Darkhal; Yifei Gao; Hem B. Motra; Ghasem Aghli; Mehdi Ostadhassan

Tran Chau My Thanh | Neuroscience | Young Scientist Award

Dr. Tran Chau My Thanh | Neuroscience | Young Scientist Award

Dr. Tran Chau My Thanh, a dedicated researcher at Duy Tan University, Vietnam 🇻🇳, holds a medical degree and Ph.D. from Hue University of Medicine and Pharmacy 🎓. Her work bridges the gap between clinical medicine and molecular biology 🧬. With a strong passion for translational research, she focuses on using bioinformatics and genomic tools for early diagnosis and targeted therapy development for diseases like cancer, diabetes, and cardiovascular disorders 💉. Through CRISPR/Cas9 and RNA networks, she aims to revolutionize patient-specific treatment pathways 🚀. Her extensive lab experience, scholarly publications, and ongoing innovations make her a promising leader in biomedical science 🏅.

Profile

Education 🎓

Dr. Thanh earned her Medical Degree (M.D.) from Hue University of Medicine and Pharmacy 🏥 and went on to complete her Doctorate (Ph.D.) in the same prestigious institution 🎓. Her education was deeply rooted in both clinical and research training, equipping her with a comprehensive understanding of human health and disease 🧠. Throughout her academic journey, she focused on genomics, molecular medicine, and biotechnology 🔬. The rigorous curriculum and hands-on exposure in advanced labs trained her in modern diagnostic tools and therapeutic innovations ⚙️. She also mastered computational biology and molecular interactions, forming a solid foundation for her groundbreaking work in RNA regulation and gene editing technologies such as CRISPR/Cas9 🧪.

Experience 👨‍🏫

Dr. Thanh brings rich experience as a medical doctor and academic at Duy Tan University 🏫. Her research career spans multiple roles in molecular diagnostics, bioinformatics, and therapeutic innovation 🧬. She has led studies on disease biomarkers, participated in international collaborations 🌐, and worked extensively with cell lines, recombinant DNA, and next-gen sequencing data 🔍. Her proficiency in wet lab and dry lab environments empowers her to integrate experimental biology with computational modeling 🧫💻. Alongside mentoring students and publishing SCI-indexed research, she contributes to translational medicine by connecting bench science to bedside applications, helping advance precision medicine for critical illnesses 💡.

Awards & Recognitions 🏅

Dr. Thanh is a nominee for the Young Scientist Award by the International Cognitive Scientist Awards 🧠🏆. Her impactful work on circular RNAs, miRNAs, and disease biomarker networks has garnered international recognition 🌍. She’s been acknowledged in high-impact journals for discoveries related to coronary heart disease and cancer diagnostics 📖. Her scholarly articles are indexed in SCI and Scopus, and she continues to influence the biomedical community through conference presentations, peer reviews, and academic collaborations 🤝. As a rising figure in molecular biology, her research promises transformative outcomes for early disease detection and targeted therapies 🧬✨.

Research Interests 🔬

Dr. Thanh’s research explores circRNA/miRNA/mRNA interactions, protein-protein networks, and gene function analysis 🧬🧠. She is driven by the quest to discover novel biomarkers for early diagnosis of complex diseases such as cancer, stroke, and diabetes 💊. Her focus includes CRISPR/Cas9 gene editing, molecular docking, and simulations for drug discovery and target validation 💻🧪. She also builds interaction networks to map LncRNA/CircRNA/miRNA/gene/protein-drug relationships, contributing to personalized medicine approaches 🎯. Through bioinformatics, she decodes gene expression dynamics and immune infiltrations to enable efficient diagnostics and therapeutics 💡. Her ultimate goal is to bridge computational biology with translational research for global health improvement 🌐💚.

Publications 

1. Hsa_circRNA_0000284 acts as a ceRNA to participate in coronary heart disease progression
by sponging miRNA-338-3p via regulating the expression of ETS1
2. Identification of hsa_circ_0001445 of a novel circRNA-miRNA-mRNA regulatory network as
potential biomarker for coronary heart disease
3. Potential diagnostic value of serum microRNAs for 19 cancer types: a meta-analysis of
bioinformatics data

Rebecca Nunge | Perinatology | Best Researcher Award

Dr. Rebecca Nunge | Perinatology | Best Researcher Award

Dr. Rebecca A. Nunge, MD, is a dedicated Obstetrics and Gynecology resident at the University of South Florida with a passion for women’s health, health equity, and medical education. A graduate of Indiana University School of Medicine and the University of Notre Dame, she combines academic excellence with extensive clinical, research, and leadership experience. Rebecca has been recognized with numerous awards for her compassion, advocacy, and commitment to underserved populations. She has led initiatives in correctional health, served as a peer mentor, and contributed significantly to student outreach clinics and leadership programs. Her research spans trauma immunology and maternal-fetal medicine, with published work in top journals and presentations at national conferences. She brings a collaborative, patient-centered approach to care and remains committed to mentoring and service. Rebecca embodies leadership, empathy, and scholarship, shaping her future as a physician-leader in OB-GYN.

Profile

Education 🎓

Dr. Rebecca Nunge earned her Doctor of Medicine from Indiana University School of Medicine in 2023, where she was inducted into both Alpha Omega Alpha and the Gold Humanism Honor Societies. Her undergraduate studies were completed at the University of Notre Dame in 2019 with a Bachelor of Science in Pre-Professional Studies and a supplementary major in Peace Studies. She pursued global learning through study-abroad programs in Greece and the Middle East, reflecting her early interest in cultural competency and global health. During medical school, she complemented her formal education with active participation in peer mentoring, curriculum development, and medical volunteerism. Her education was further enriched by leadership academies, global health brigades, and clinical rotations that strengthened her holistic, service-oriented approach to medicine. Scholarships from IUSM supported her academic excellence, leadership, and service. Rebecca’s education exemplifies intellectual rigor, ethical commitment, and an enduring dedication to patient advocacy and healthcare equity.

Experience 👨‍🏫

Dr. Rebecca Nunge’s experience spans clinical service, community engagement, teaching, and leadership. As a current OB-GYN resident at USF, she provides compassionate care grounded in hands-on medical training and extensive volunteer experience. She served in multiple leadership roles at the Indiana University Student Outreach Clinic, including Women’s Health Chair and Clinic Manager, overseeing prenatal care and operational logistics. She founded the Correctional Medicine Student Outreach Project to address health disparities in incarcerated populations, merging clinical exposure with advocacy and curricular integration. She mentored peers through multiple IU School of Medicine programs and contributed to clerkship orientation panels. Her experience includes volunteering at the Harbor Light Center, Saint Joseph Regional Medical Center, and global brigades in Nicaragua. Rebecca’s teamwork, organizational skills, and empathy shine through her community impact and mentoring. She also worked on immunology and maternal-fetal research projects, demonstrating a commitment to integrating clinical insight with scholarly contribution.

Awards & Recognitions 🏅

Dr. Rebecca Nunge has received numerous awards for academic excellence, leadership, service, and advocacy. In 2023, she was named Resident Intern of the Year at Tampa General Hospital’s Labor and Delivery Unit. She was inducted into Alpha Omega Alpha and the Gold Humanism Honor Society, prestigious recognitions reserved for the top percentage of medical students. At IUSM, she earned several scholarships, including the Roggenkamp, Moore, Hutchens, Means, and Wenning scholarships, honoring academic merit and service. Rebecca was named Women’s Health Volunteer and Advocate of the Month for her dedication at the IU Student Outreach Clinic. She also received the Visionary Leader Award and was recognized among IUPUI’s Elite 50 and Premiere 10 for graduate leadership. Her research was honored with an NHLBI-T35 Award for Outstanding Poster Presentation. Rebecca’s honors reflect her unwavering commitment to equity, excellence, and compassion in medicine, distinguishing her as a leader among her peers.

Research Interests 🔬

Dr. Rebecca Nunge’s research focuses on maternal-fetal medicine, trauma immunology, and the social determinants of health. At Indiana University, she collaborated with Dr. Todd McKinley and Dr. Mark Kaplan to develop a minimally invasive, cell-based model predicting immune responses to trauma—work that earned recognition at national research symposiums. In OB-GYN, she studied early childhood adversity and post-op pain with Dr. Insiyyah Patanwala, and risk factors for gestational diabetes in twin pregnancies with Dr. Hiba Mustafa. Her interdisciplinary approach merges clinical practice with immunology, public health, and machine learning, as reflected in publications in Seminars in Perinatology and Ultrasound in Obstetrics & Gynecology. Rebecca has also explored the health implications of mass incarceration through her Correctional Medicine Outreach Project, advocating for system-level change. Her research consistently integrates compassion, innovation, and advocacy to improve maternal and community health outcomes, especially among underserved populations.

Publications 
  • Pain medication use during pregnancy.

    Seminars in perinatology
    2025-04-01 | Journal article
    PMID: 40175217
    CONTRIBUTORS: Nunge RA; Kendle AM; Alwan S
  • Machine learning prediction of hypertension and diabetes in twin pregnancies using characteristics at prenatal care entry: a nationwide study

    Ultrasound in Obstetrics & Gynecology
    2024-05-28 | Journal article
    Part ofISSN: 0960-7692
    Part ofISSN: 1469-0705
    CONTRIBUTORS: Hiba Mustafa; Erkan Kalafat; Smriti Prasad; M. ‐H. Heydari; R. N. Nunge; Asma Khalil
  • Developing a Minimally Invasive Cell-Based Model to Predict Response to Major Trauma

    Insight: Indiana University Medical Student Research Journal
    2021-12-16 | Journal article
    HANDLE: 25970
    CONTRIBUTORS: Rebecca Nunge
  • Developing a Minimally Invasive Cell-Based Model to Predict Response to Major Trauma

    Proceedings of IMPRS
    2020-12-15 | Journal article
    Part of ISSN: 2641-2470
    CONTRIBUTORS: Rebecca Nunge

Ata Jahangir Moshayedi | Brain Stimulation | Best Researcher Award

Dr. Ata Jahangir Moshayedi | Brain Stimulation | Best Researcher Award

Dr. Ata Jahangir Moshayedi is an Associate Professor at Jiangxi University of Science and Technology 🇨🇳 with a PhD in Electronic Science 🎓 from Savitribai Phule Pune University 🇮🇳. He is a prolific academic 🧠 with over 90 publications 📚, three authored books 📖, two patents 🧾, and nine copyrights 📝. A distinguished member of IEEE ⚡, ACM 💻, Instrument Society of India 🧪, and Speed Society of India 🚀, he contributes to editorial boards 🗞️ and international conferences 🌐. His interdisciplinary expertise bridges robotics 🤖, AI 🤖, VR 🕶️, and embedded systems 🔧, driving innovation in education and technology 🚀.

Profile

Education 🎓

Dr. Moshayedi earned his PhD in Electronic Science from Savitribai Phule Pune University 🇮🇳, specializing in robotics and automation 🤖. His educational path is deeply rooted in multidisciplinary technologies like embedded systems 🔧, machine vision 👁️, and AI 🧠. With academic training grounded in both theory 📘 and application 🛠️, he cultivated expertise across digital systems 💡 and bio-inspired robots 🦾. He integrates engineering principles with computer science 💻 to develop cutting-edge innovations in virtual and intelligent systems 🌍. His educational achievements laid the foundation for his impactful career in academic research and mentoring 📈.

Experience 👨‍🏫

Dr. Moshayedi has served as Associate Professor at Jiangxi University of Science and Technology 🇨🇳 since 2018. He leads modules in Robotics 🤖, Embedded Systems 💻, and Digital Image Processing 📷. He supervises UG and PG research 🧪, formulates grant proposals 💡, and serves as a module leader and tutor across advanced computer engineering courses 🧑‍🎓. His role includes designing learning materials 📘, aligning curriculum with accreditation standards 🎯, and evaluating student performance 🎓. He has extensive teaching experience in C/C++ programming 💾, algorithm analysis 📊, and mobile app programming 📱, ensuring comprehensive academic development.

Awards & Recognitions 🏅

🥇2024: Best Mentor, Jiangxi University 👨‍🏫 | 🏅2022: Book Award (Unity in Embedded System Design and Robotics) 📖 | 🥉2022: 3rd National & 1st Provincial Prize, Handy Pipe Detector, China Computer Design Competition 🛠️ | 🥉2021: 3rd National & 2nd Provincial, PEA Project (Pandemic Exam Assistant) 🧪 | 🏆2021: Innovation Award, Iran National Festival 🌍 | 🥉2021: 3rd National & 2nd Provincial, RDK Cloud Robot, Intelligent Service Robot Challenge ☁️🤖 — All reflecting his excellence in guiding innovation, mentoring students 👨‍🎓, and advancing global tech competitions 🌐.

Research Interests 🔬

Dr. Moshayedi’s research integrates robotics 🤖, AI 🧠, and embedded systems 🔧. His work on bio-inspired robots 🐜, mobile robot olfaction 👃, and sensor modeling 🧪 explores intelligent perception and environmental interaction 🌫️. He develops machine vision-based systems 👁️, virtual reality environments 🕶️, and smart embedded architectures 🖥️. His focus on plume tracking 🌬️ and cloud robotics ☁️ brings autonomous systems closer to real-world application. Merging theory and practice 🔍, his research propels innovation across intelligent systems, cyber-physical interaction 🌐, and real-time automation, making significant strides in modern engineering and applied AI 🤖.

Publications 

LUCIANO VITORINO | Cognitive Aging | Cognitive Aging Excellence

Dr. LUCIANO VITORINO | Cognitive Aging | Cognitive Aging Excellence

Dr. Luciano Magalhães Vitorino, Ph.D., RN 🇧🇷 is a dedicated professor at the Faculty of Medicine of Itajubá, Brazil 🏥, with expertise in nursing, gerontology, spirituality, and health 🌱. He has built a multidisciplinary academic and research career blending healthcare, cognition, and spirituality 🧠🙏. With over 1,500 citations 📚 and extensive teaching roles in medicine and nursing 🩺, he leads the Research Center and the Assessment Center at FMIT, actively contributing to the Research Ethics Committee 👨‍🔬. His international academic collaborations, including the University of Alberta 🇨🇦, reflect his global engagement 🌍. A recognized academic voice, he served as Guest Editor for Frontiers in Psychiatry 📰 and holds memberships across academic platforms 📊. Through education, mentorship, and pioneering research, Dr. Luciano is influencing healthcare for the aging population 💡👴👵.

Profile

Education 🎓

Dr. Luciano holds a Postdoctoral Fellowship in Cognition, Spirituality, and Aging from UFJF (2017–2019) 🧘‍♂️🧠, a Ph.D. and M.Sc. in Quality of Life & Spiritual Health from UNIFESP (2012–2016) 📖, and a B.Sc. in Nursing from Faculty of Nursing Wenceslau Braz (2006) 🩺. He specialized in Urgency and Emergency Care (2008–2010) ⛑️. His Ph.D. work was guided by experts from UNIFESP and the University of Alberta 🇨🇦, exploring spiritual/religious coping among older adults. His dissertation and thesis focused on quality of life and religious coping in nursing homes and community settings 🙏🏘️. His postdoctoral project assessed spirituality’s influence on cognitive decline in aging populations 🧓. This unique education, combining nursing, public health, and spirituality, positions him as a thought leader in holistic geriatric care

Experience 👨‍🏫

Dr. Luciano is a full-time assistant professor at FMIT since 2018 👨‍🏫. He coordinates both the Research Center (since 2022) and Assessment Center (since 2022), and is a long-standing member of the Research Ethics Committee (since 2019) 🧪📋. He previously taught at Faculty of Nursing Wenceslau Braz (2007–2012), Medical School of Itajubá (2013–2014), and Federal University of São Paulo (2013) 👨‍⚕️📘. He’s also guided health residency programs and coordinated caregiver training for elderly individuals 👵👨‍⚕️. As Guest Editor of Frontiers in Psychiatry (2022–2023), he shaped international discussions on spirituality and health 🗞️🕊️. His teaching subjects include Epidemiology, Geriatrics, Medical Semiology, and Spirituality & Health 🧬🩻. His roles reflect a passion for interdisciplinary health sciences and dedication to ethical, evidence-based care 🌟.

Awards & Recognitions 🏅

Dr. Luciano’s impactful research and teaching have earned him numerous citations across Scopus (h-index 13, 525 citations), Web of Science (h-index 11, 454 citations), Google Scholar (h-index 20, 1,506 citations) 📈, and ResearchGate (h-index 16, 864 citations) 🧑‍🔬. His inclusion as Guest Editor for Frontiers in Psychiatry (2022–2023) showcases recognition in global academic communities 🌍. He’s contributed to leading Brazilian and international institutions like UNIFESP, UFJF, and the University of Alberta 🇧🇷🇨🇦. Through strong publication records and global collaborations, he’s established himself as an authority on spiritual health in aging 🚀📚. His profile on Google Scholar, ORCID, and LinkedIn reflects international engagement and scholarly distinction 🌐🎖️.

Research Interests 🔬

Dr. Luciano’s research bridges Geriatrics, Gerontology, Spirituality and Mental Health, and AI in Healthcare 🧓🧠💻. His central interest lies in understanding how spirituality and religiosity affect cognitive aging and quality of life 🌿🧘‍♂️. His postdoctoral research—a 4-year longitudinal study—explored how spiritual coping impacts cognitive decline in community-dwelling elders 🧪🕯️. He also investigates medical education, primary healthcare, and interdisciplinary training 🩺📘. As AI transforms healthcare, he examines its integration with geriatric care and spiritual health frameworks 🤖❤️. Through mixed-methods research and international collaboration, he aims to personalize elderly care and mental wellness using both humanistic and data-driven approaches 📊✨.

Publications